> listUser = this.jdbcTemplate.queryForList(builder.toString());\\n\\t\\t\\tJSONObject results = new JSONObject();\\n\\t\\t\\tresults.put(\\\"results\\\", listUser);\\n\\t\\t\\tresults.put(\\\"total\\\", totalRow);\\n\\t\\t\\tdata.put(\\\"data\\\", results);\\n\\t\\t\\tdata.put(\\\"success\\\", true);\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tdata.put(\\\"success\\\", false);\\n\\t\\t\\tdata.put(\\\"err\\\", e.getMessage());\\n\\t\\t\\tdata.put(\\\"msg\\\", \\\"Lấy danh sách người dùng thất bại\\\");\\n\\t\\t}\\n\\t\\treturn data;\\n\\t}\",\n \"long count(String query);\",\n \"long count(String query);\",\n \"@Override\\n public PageResult<Ares2ClusterDO> selectByQueryWithPage(Ares2ClusterQuery query) {\\n PageResult<Ares2ClusterDO> result = new PageResult<Ares2ClusterDO>();\\n result.setPageSize(query.getPageSize());\\n result.setPageNo(query.getPageNo());\\n result.setTotalCount(this.countByQuery(query));\\n result.setResult(this.selectByQuery(query));\\n return result;\\n }\",\n \"int getPageSize();\",\n \"int getPageSize();\",\n \"int getPageSize();\",\n \"int getPageSize();\",\n \"io.dstore.values.StringValue getPage();\",\n \"private static List<MapValue> display(NoSQLHandle handle,String query) throws Exception {\\n \\n \\n \\n QueryRequest queryRequest = new QueryRequest().setStatement(query);\\n queryRequest.setLimit(1000);\\n //q=q+String.valueOf(queryRequest.getLimit())+\\\"\\\\\\\\\\\\\\\\\\\\\\\\\\\"+String.valueOf(queryRequest.getMaxReadKB());\\n String results1=null;\\n List<MapValue> results=new ArrayList<>();\\n QueryResult queryResult=null;\\n do{\\n queryResult = handle.query(queryRequest);\\n results = queryResult.getResults();\\n results1=results1+results.toString();\\n }while (!queryRequest.isDone());\\n \\n return results;\\n \\n\\n }\",\n \"public Iterator<Integer> getPageCountIterator();\",\n \"public int getPageCount() { return _pages.size(); }\",\n \"String getLoginapifailhitcount();\",\n \"public double SumInlinkHubScore(Page page) {\\n\\t\\tList<String> inLinks = page.getInlinks();\\n\\t\\tdouble hubScore = 0;\\n\\t\\tfor (String inLink1 : inLinks) {\\n\\t\\t\\tPage inLink = pTable.get(inLink1);\\n\\t\\t\\tif (inLink != null)\\n\\t\\t\\t\\thubScore += inLink.hub;\\n\\t\\t\\t// else: page is linked to by a Page not in our table\\n\\t\\t}\\n\\t\\treturn hubScore;\\n\\t}\",\n \"public interface DemandSearchMapper {\\n /**\\n * 微信搜索\\n */\\n @Select(\\\"select count(1) from demands where demandcode like #{content} and isdelete=0 and releasestatus=1 and checkstatus='审核通过' \\\")\\n int getWapSearchDemandCount(@Param(\\\"content\\\")String content);\\n\\n @Select(\\\"<script>\\\" +\\n \\\" select * from demands where demandcode like #{content} and isdelete=0 and releasestatus=1 and checkstatus='审核通过' \\\" +\\n \\\" order by id desc \\\" +\\n \\\" <choose><when test='anchor==null or anchor==\\\\\\\"\\\\\\\"'>limit #{pageQuery.pagesize} offset #{pageQuery.indexNum}</when><otherwise>limit ${pageQuery.rowNum} offset 0</otherwise></choose>\\\" +\\n \\\"</script>\\\")\\n List<Demand> getWapSearchDemandList(@Param(\\\"content\\\")String content,\\n @Param(\\\"pageQuery\\\") PageQueryParam param,\\n @Param(\\\"anchor\\\") String scrtop);\\n\\n public default PageQueryParam getWapSearchDemandTotalList(String content, PageQueryParam param, String scrtop) {\\n content = Where.$like$(content);\\n int totalCount = getWapSearchDemandCount(content);\\n List<Demand> demandList = getWapSearchDemandList(content, param, scrtop);\\n int totalPage = totalCount / param.getPagesize();\\n totalPage = totalCount % param.getPagesize() == 0 ? totalPage : totalPage + 1;\\n param.setTotalCount(totalCount);\\n param.setTotalPage(totalPage);\\n param.setList(demandList);\\n //如果有锚点,加载完数据，告诉前台当前是第几页\\n if (org.apache.commons.lang3.StringUtils.isNotBlank(scrtop)) {\\n param.setPage(param.getIndexNum() / param.getPagesize());\\n }\\n return param;\\n }\\n\\n}\",\n \"@GetMapping(\\\"/_search/percentages\\\")\\n @Timed\\n public List<Percentage> searchPercentages(@RequestParam String query) {\\n log.debug(\\\"REST request to search Percentages for query {}\\\", query);\\n return percentageService.search(query);\\n }\",\n \"public static int getNumber(String query);\",\n \"public static void testQuery() {\\n\\t\\tParameters parameters = new Parameters();\\r\\n\\t\\tparameters.setUrl(\\\"VchicleServlet.json?action=pagequery\\\");\\r\\n\\t\\tparameters.setList(new ArrayList<NameValuePair>());\\r\\n\\t\\tparameters.getList().add(new BasicNameValuePair(\\\"pageSize\\\", \\\"2\\\"));\\r\\n\\t\\tparameters.getList().add(new BasicNameValuePair(\\\"currPage\\\", \\\"3\\\"));\\r\\n\\t\\t@SuppressWarnings(\\\"unused\\\")\\r\\n\\t\\tString string = (String) MainUtilityTools.execute(parameters);\\r\\n\\t}\",\n \"int countByExample(PageItemCfgExample example);\",\n \"public PageList<Hoppy> getPageList(Hoppy hoppy, int pageSize, int pageNum) throws DataAccessException;\",\n \"public static void main(String[] args) {\\n Scanner sc = new Scanner(System.in);\\n int t = sc.nextInt();\\n while (t-- > 0) {\\n int n = sc.nextInt();\\n int i =0;\\n int[] page = new int[n];\\n while (i< n){\\n page[i] = sc.nextInt();\\n i++;\\n }\\n int capacity = sc.nextInt();\\n System.out.println(findNoOfPageFault(page,capacity));\\n }\\n\\n }\",\n \"public void sampleInvestigate ()\\r\\n {\\r\\n Query query = new Query(\\\"Hawker\\\");\\r\\n query.setCount(100);\\r\\n query.setGeoCode(new GeoLocation(1.423844, 103.776921), 5, Query.MILES);\\r\\n query.setSince(\\\"2016-12-1\\\");\\r\\n try {\\r\\n QueryResult result = twitter.search(query);\\r\\n System.out.println(\\\"Count : \\\" + result.getTweets().size()) ;\\r\\n for (Status tweet : result.getTweets()) {\\r\\n System.out.println(\\\"@\\\"+tweet.getUser().getName()+ \\\": \\\" + tweet.getText()); \\r\\n }\\r\\n } \\r\\n catch (TwitterException e) {\\r\\n e.printStackTrace();\\r\\n } \\r\\n System.out.println(); \\r\\n }\",\n \"io.dstore.values.IntegerValue getPageNo();\",\n \"io.dstore.values.IntegerValue getPageNo();\",\n \"long countByExample(XPsDigest95thPercentileByAvgUsExample example);\",\n \"@Test\\n\\tprivate void get_all_headers() {\\n\\t\\tRestAssured.baseURI = \\\"https://reqres.in\\\";\\n\\t\\tRequestSpecification httpRequest = RestAssured.given();\\n\\t\\tResponse response = httpRequest.request(Method.GET, \\\"/api/users?page=2\\\");\\n\\t\\tHeaders headers = response.getHeaders();\\n\\t\\tfor (Header header : headers) {\\n\\t\\t\\tSystem.out.println(header.getName() + \\\" \\\\t : \\\" + header.getValue());\\n\\t\\t}\\n\\t}\",\n \"protected boolean test2() { // testing all policies thru random sequence of page \\r\\n // (multiple) accesses and check for page faults and BHR\\r\\n \\r\\n System.out.print(\\\"\\\\n Starting Test 2 (testing all policies; should show difference from policy to policy)... \\\\n\\\");\\r\\n System.out.print(\\\"\\\\n Also, SHOULD show different values of BHR's for policies in each round... \\\\n\\\");\\r\\n System.out.print(\\\"\\\\n Lower # of page faults --> better replacement poliy... \\\\n\\\");\\r\\n System.out.println(\\\"\\\\n higher BHR values --> better replacement poliy... \\\\n\\\");\\r\\n \\r\\n\\r\\n // we choose this number to ensure #pages > #bufpool\\r\\n // will use a seq of page nums to pin and unpin\\r\\n boolean status = PASS;\\r\\n \\r\\n int numPages = Minibase.BufferManager.getNumUnpinned(); //buf frames\\r\\n int numDiskPages = numPages*BUF_SIZE_MULTIPLIER;\\r\\n \\r\\n //*System.out.print(\\\"numPages: buf and disk: \\\" + numPages + \\\" and \\\" + numDiskPages+\\\"\\\\n\\\");\\r\\n Page pg = new Page();\\r\\n PageId pid;\\r\\n PageId firstPid = new PageId();\\r\\n System.out.println(\\\" - Allocate all pages\\\\n\\\");\\r\\n try {\\r\\n firstPid = Minibase.BufferManager.newPage(pg, numDiskPages); //starting at 9\\r\\n } catch (Exception e) {\\r\\n System.err.print(\\\"*** Could not allocate \\\" + numDiskPages);\\r\\n System.err.print(\\\" new pages in the database.\\\\n\\\");\\r\\n e.printStackTrace();\\r\\n return false;\\r\\n }\\r\\n\\r\\n // unpin that first page... to simplify our loop\\r\\n try {\\r\\n Minibase.BufferManager.unpinPage(firstPid, UNPIN_CLEAN);\\r\\n } catch (Exception e) {\\r\\n System.err.print(\\\"*** Could not unpin the first new page.\\\\n\\\");\\r\\n e.printStackTrace();\\r\\n status = FAIL;\\r\\n }\\r\\n\\r\\n\\r\\n // now nothing is pinned; numPages in buffers and numDiskPages on disk\\r\\n \\r\\n System.out.print(\\\" - load pages in random order (as well as pin) to generate hits and page faults: \\\\n\\\");\\r\\n pid = new PageId();\\r\\n \\r\\n //just do round robin and see whether it makes a diff between LRU and clock\\r\\n System.out.println(\\\"entering round robin stage ...\\\\n\\\");\\r\\n int rpid;\\r\\n int rPage;\\r\\n Random randomPage = new Random();\\r\\n Random iter = new Random();\\r\\n Random pin = new Random();\\r\\n iter.setSeed(1347); //prime num\\r\\n pin.setSeed(1938);\\r\\n int it = MAX_ITERATIONS*BUF_SIZE_MULTIPLIER;\\r\\n for (int j = 1; j <= it; j++){\\r\\n \\r\\n for ( int i=0; i < numDiskPages; i++){\\r\\n \\r\\n pid.pid = firstPid.pid + i;\\r\\n \\r\\n for (int k = 1; k <= pin.nextInt(MAX_PIN_COUNT)+1; k++){\\r\\n try {\\r\\n Minibase.BufferManager.pinPage(pid, pg, PIN_DISKIO);\\r\\n \\r\\n } catch (Exception e) {\\r\\n status = FAIL;\\r\\n System.err.print(\\\"*** Could not pin new page \\\" + pid.pid + \\\"\\\\n\\\");\\r\\n e.printStackTrace();\\r\\n } \\r\\n \\r\\n // Copy the page number + 99999 onto each page. It seems\\r\\n // unlikely that this bit pattern would show up there by\\r\\n // coincidence.\\r\\n int data = pid.pid + 99999;\\r\\n Convert.setIntValue(data, 0, pg.getData()); \\r\\n \\r\\n try {\\r\\n Minibase.BufferManager.unpinPage(pid, UNPIN_DIRTY);\\r\\n } catch (Exception e) {\\r\\n status = FAIL;\\r\\n System.err.print(\\\"*** Could not unpin dirty page \\\" + pid.pid + \\\"\\\\n\\\");\\r\\n e.printStackTrace();\\r\\n }\\r\\n } \\r\\n \\r\\n }\\r\\n \\r\\n }\\r\\n if (status == PASS){ \\r\\n //invoke print \\r\\n System.out.println(\\\" Test 2: Round Robin for \\\"+it+\\\" iterations\\\"); \\r\\n Minibase.BufferManager.printBhrAndRefCount();\\r\\n System.out.print(\\\"\\\\n++++++++++++++++++++++++++==============\\\\n\\\");\\r\\n } \\r\\n\\r\\n // randomly load pages, pin them and unpin them a large number of times\\r\\n // load pages in some order to generate page faults\\r\\n Random seq = new Random();\\r\\n seq.setSeed(999331); //another prime num;\\r\\n pin.setSeed(iter.nextInt(13447)+1);\\r\\n randomPage.setSeed(13); //another prime num; \\r\\n \\r\\n for (int j = 1; j <= MAX_ITERATIONS; j++){\\r\\n \\r\\n \\r\\n for ( int i=1; i <= seq.nextInt(MAX_SEQUENCE)+1; i++){\\r\\n \\r\\n rpid = randomPage.nextInt(numDiskPages)+1;\\r\\n pid.pid = firstPid.pid + rpid;\\r\\n \\r\\n for (int k = 1; k <= pin.nextInt(MAX_PIN_COUNT)+1; k++){\\r\\n try {\\r\\n Minibase.BufferManager.pinPage(pid, pg, PIN_DISKIO);\\r\\n \\r\\n } catch (Exception e) {\\r\\n status = FAIL;\\r\\n System.err.print(\\\"*** Could not pin new page \\\" + pid.pid + \\\"\\\\n\\\");\\r\\n e.printStackTrace();\\r\\n } \\r\\n \\r\\n // Copy the page number + 99999 onto each page. It seems\\r\\n // unlikely that this bit pattern would show up there by\\r\\n // coincidence.\\r\\n int data = pid.pid + 99999;\\r\\n Convert.setIntValue(data, 0, pg.getData()); \\r\\n \\r\\n try {\\r\\n Minibase.BufferManager.unpinPage(pid, UNPIN_DIRTY);\\r\\n } catch (Exception e) {\\r\\n status = FAIL;\\r\\n System.err.print(\\\"*** Could not unpin dirty page \\\" + pid.pid + \\\"\\\\n\\\");\\r\\n e.printStackTrace();\\r\\n }\\r\\n } \\r\\n \\r\\n }\\r\\n if (status == PASS){ \\r\\n //invoke print \\r\\n System.out.println(\\\" Test 2: Iteration: \\\"+j); \\r\\n Minibase.BufferManager.printBhrAndRefCount();\\r\\n System.out.print(\\\"\\\\n++++++++++++++++++++++++++==============\\\\n\\\");\\r\\n } \\r\\n }\\r\\n \\r\\n if (status == PASS){\\r\\n System.out.println(\\\" Test 2 completed successfully.\\\\n\\\"); \\r\\n System.out.println(\\\"\\\\n compare page faults for each policy\\\\n\\\");\\r\\n }\\r\\n return status;\\r\\n }\",\n \"io.dstore.engine.procedures.StGetPageVisitsAd.Response.Row getRow(int index);\",\n \"@NonNull\\n/* */ public static List<Integer> getPageList(String info) {\\n/* 762 */ List<Integer> pageList = new ArrayList<>();\\n/* */ \\n/* 764 */ if (!Utils.isNullOrEmpty(info)) {\\n/* */ try {\\n/* 766 */ JSONObject jsonObj = new JSONObject(info);\\n/* 767 */ if (jsonObj.has(\\\"Pages\\\")) {\\n/* 768 */ String allPages = jsonObj.getString(\\\"Pages\\\");\\n/* 769 */ if (!Utils.isNullOrEmpty(allPages)) {\\n/* 770 */ String[] pages = allPages.split(\\\" \\\");\\n/* 771 */ for (String page : pages) {\\n/* 772 */ pageList.add(Integer.valueOf(page));\\n/* */ }\\n/* */ } \\n/* */ } \\n/* 776 */ } catch (Exception e) {\\n/* 777 */ AnalyticsHandlerAdapter.getInstance().sendException(e);\\n/* */ } \\n/* */ }\\n/* */ \\n/* 781 */ return pageList;\\n/* */ }\",\n \"public double SumOutlinkAuthorityScore(Page page) {\\n\\t\\tList<String> outLinks = page.getOutlinks();\\n\\t\\tdouble authScore = 0;\\n\\t\\tfor (String outLink1 : outLinks) {\\n\\t\\t\\tPage outLink = pTable.get(outLink1);\\n\\t\\t\\tif (outLink != null)\\n\\t\\t\\t\\tauthScore += outLink.authority;\\n\\t\\t}\\n\\t\\treturn authScore;\\n\\t}\",\n \"private void tagInHeadStatistics(){\\n\\t\\tfinal List<Integer> countNbLinkHead = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbCssHead = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbScriptHead = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbCssLinkHead = new ArrayList<>();\\n\\t\\tElement head = htmlParsed.select(\\\"head\\\").first();\\n\\t\\thead.traverse(new NodeVisitor(){\\n\\t\\t\\tString attributeValue = \\\"\\\"; \\n\\t\\t\\tpublic void head(Node node, int depth){\\n\\t\\t\\t\\tif (node instanceof Element){\\n\\t\\t\\t\\t\\tElement tag = (Element) node;\\n\\t\\t\\t\\t\\tif(tag.tagName().equals(\\\"script\\\"))\\n\\t\\t\\t\\t\\t\\tcountNbScriptHead.add(1);\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"style\\\"))\\n\\t\\t\\t\\t\\t\\tcountNbCssHead.add(1);\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"link\\\")){\\n\\t\\t\\t\\t\\t\\tcountNbLinkHead.add(1);\\n\\t\\t\\t\\t\\t\\tattributeValue = tag.attr(\\\"rel\\\");\\n\\t\\t\\t\\t\\t\\tif(attributeValue.equals(\\\"stylesheet\\\"))\\n\\t\\t\\t\\t\\t\\t\\tcountNbCssLinkHead.add(1);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tpublic void tail(Node node, int depth) {\\n\\t\\t }\\n\\t\\t});\\n\\t\\thtmlStatistics.put(\\\"link_head\\\",(double) countNbLinkHead.size());\\n\\t\\thtmlStatistics.put(\\\"css_code_head\\\", (double) countNbCssHead.size());\\n\\t\\thtmlStatistics.put(\\\"script_tag_head\\\", (double) countNbScriptHead.size());\\n\\t\\thtmlStatistics.put(\\\"link_css_head\\\", (double) countNbCssLinkHead.size());\\n\\t}\",\n \"int getQueryItemsCount();\",\n \"public Hub<QueryInfoSearch> getQueryInfoSearchHub() {\\n if (hubQueryInfoSearch == null) {\\n hubQueryInfoSearch = new Hub<QueryInfoSearch>(QueryInfoSearch.class);\\n hubQueryInfoSearch.add(getQueryInfoSearch());\\n hubQueryInfoSearch.setPos(0);\\n }\\n return hubQueryInfoSearch;\\n }\",\n \"lanyotech.cn.park.protoc.CommonProtoc.PageHelper getPage();\",\n \"public int getGatheredPages() {\\r\\n return gatheredPages;\\r\\n }\",\n \"public Page<Hierarchy> search(String query, Pageable pageable) {\\n log.debug(\\\"Request to search for a page of Hierarchies for query {}\\\", query);\\n return hierarchySearchRepository.search(queryStringQuery(query), pageable); }\",\n \"default List<Source> representativeTypicalityQuery(int topk, Set<Source> resultSet, Set<String> domain) {\\n final Map<Source, List<Source>> region = interestingRegion(topk, resultSet, domain);\\n\\n final Comparator<Map.Entry<Source, List<Source>>> byValue =\\n (entry1, entry2) ->\\n Ints.compare(entry1.getValue().size(), entry2.getValue().size());\\n\\n return region.entrySet().stream()\\n .sorted(byValue.reversed())\\n .map(Map.Entry::getKey)\\n .collect(Collectors.toList());\\n }\",\n \"Page<ExamPackage> getPageByUsername(String username, int pageNo, int pageSize, Sort sort);\",\n \"public Result findByPage(Page page,String hql, Object... params) ;\",\n \"String getPublicationsCentralGraphQuery();\",\n \"boolean hasPagesize();\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5573498","0.5542537","0.5538547","0.5431011","0.54023564","0.53935224","0.5393143","0.5337875","0.533725","0.5318663","0.5237613","0.5220816","0.51363444","0.50998986","0.5092558","0.50081116","0.49924716","0.49921727","0.49706998","0.49705648","0.49683496","0.4965129","0.49594536","0.4941811","0.4933965","0.4929996","0.49283937","0.4925219","0.49222204","0.49179247","0.4916461","0.49019122","0.48860735","0.4870174","0.48622936","0.48620898","0.4859897","0.48547813","0.48507795","0.4842275","0.48362526","0.4830925","0.4823802","0.48029616","0.48029616","0.4800388","0.47888255","0.4778256","0.47624317","0.47330204","0.4729929","0.47224027","0.46934104","0.46884015","0.4686757","0.4686757","0.4686757","0.46703252","0.46655387","0.46620834","0.46604642","0.46604642","0.46535948","0.4649462","0.4649462","0.4649462","0.4649462","0.4634691","0.4633325","0.46329704","0.46281758","0.4618544","0.46174935","0.46151048","0.4614885","0.4612305","0.46063542","0.4603869","0.45989144","0.4595001","0.45935014","0.4582926","0.4582926","0.45814693","0.4578519","0.45737827","0.45673323","0.45563427","0.45543018","0.45520395","0.4543393","0.4540737","0.4538173","0.4533003","0.4529436","0.4523978","0.4521222","0.45122963","0.45010793","0.44940284"],"string":"[\n \"0.5573498\",\n \"0.5542537\",\n \"0.5538547\",\n \"0.5431011\",\n \"0.54023564\",\n \"0.53935224\",\n \"0.5393143\",\n \"0.5337875\",\n \"0.533725\",\n \"0.5318663\",\n \"0.5237613\",\n \"0.5220816\",\n \"0.51363444\",\n \"0.50998986\",\n \"0.5092558\",\n \"0.50081116\",\n \"0.49924716\",\n \"0.49921727\",\n \"0.49706998\",\n \"0.49705648\",\n \"0.49683496\",\n \"0.4965129\",\n \"0.49594536\",\n \"0.4941811\",\n \"0.4933965\",\n \"0.4929996\",\n \"0.49283937\",\n \"0.4925219\",\n \"0.49222204\",\n \"0.49179247\",\n \"0.4916461\",\n \"0.49019122\",\n \"0.48860735\",\n \"0.4870174\",\n \"0.48622936\",\n \"0.48620898\",\n \"0.4859897\",\n \"0.48547813\",\n \"0.48507795\",\n \"0.4842275\",\n \"0.48362526\",\n \"0.4830925\",\n \"0.4823802\",\n \"0.48029616\",\n \"0.48029616\",\n \"0.4800388\",\n \"0.47888255\",\n \"0.4778256\",\n \"0.47624317\",\n \"0.47330204\",\n \"0.4729929\",\n \"0.47224027\",\n \"0.46934104\",\n \"0.46884015\",\n \"0.4686757\",\n \"0.4686757\",\n \"0.4686757\",\n \"0.46703252\",\n \"0.46655387\",\n \"0.46620834\",\n \"0.46604642\",\n \"0.46604642\",\n \"0.46535948\",\n \"0.4649462\",\n \"0.4649462\",\n \"0.4649462\",\n \"0.4649462\",\n \"0.4634691\",\n \"0.4633325\",\n \"0.46329704\",\n \"0.46281758\",\n \"0.4618544\",\n \"0.46174935\",\n \"0.46151048\",\n \"0.4614885\",\n \"0.4612305\",\n \"0.46063542\",\n \"0.4603869\",\n \"0.45989144\",\n \"0.4595001\",\n \"0.45935014\",\n \"0.4582926\",\n \"0.4582926\",\n \"0.45814693\",\n \"0.4578519\",\n \"0.45737827\",\n \"0.45673323\",\n \"0.45563427\",\n \"0.45543018\",\n \"0.45520395\",\n \"0.4543393\",\n \"0.4540737\",\n \"0.4538173\",\n \"0.4533003\",\n \"0.4529436\",\n \"0.4523978\",\n \"0.4521222\",\n \"0.45122963\",\n \"0.45010793\",\n \"0.44940284\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6986786"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":132594,"cells":{"query":{"kind":"string","value":"Fetches and returns all pages that match the query"},"document":{"kind":"string","value":"public List<Page> relevantPages(String query) {\n\t\tList<Page> relevantPages = new ArrayList<>();\n\t\tfor (Page p : pTable.values()) {\n\t\t\tif (matches(query, p.getContent())) {\n\t\t\t\trelevantPages.add(p);\n\t\t\t}\n\t\t}\n\t\treturn relevantPages;\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["Page<Preferences> search(String query, Pageable pageable);","@Override\n public List<Page> findAll() {\n Query q = new Query(\"pages\");\n // Use PreparedQuery interface to retrieve results\n PreparedQuery pq = datastore.prepare(q);\n List<Entity> list = pq.asList(FetchOptions.Builder.withDefaults());\n List<Page> result = new ArrayList<>();\n for (Entity entity : list) {\n Page page = new Page();\n page.setId(entity.getKey().getId());\n page.setTitle(entity.getProperty(\"title\").toString());\n page.setDescription(entity.getProperty(\"description\").toString());\n page.setUrl(entity.getProperty(\"url\").toString());\n page.setCrawled((boolean) entity.getProperty(\"crawled\"));\n result.add(page);\n }\n return result;\n }","public List<Page> searchAll() {\n return mysqlDao.searchAll();\n }","public List<PageContent> getAllPageContent();","List<T> findPage(int pageNumber);","Page<T> search(Pageable pageable, String query);","List<JournalPage> getAllPages();","public Result findByPage(Page page,String hql, Object... params) ;","public abstract Page<CustomerInfo> findAll(GlobalSearch globalSearch, Pageable pageable);","Results getResultsPage(FilterSpecifier.ListBy listBy, int page) throws SearchServiceException;","Page<T> search(Pageable pageable, QueryBuilder query);","public Vector<WbRecord> getAllPages() {\n\t\tVector<WbRecord> content = getNPages(130000000);\n\t\tSystem.out.println(\"Number of pages expected:\t\" + this.numPagesRequested);\n\t\tSystem.out.println(\"Actual number of pages wbRecordReader crawl:\t\" + this.totalNumPagesRetrieved);\n\t\treturn content;\n\t}","Page<T> findAll(Pageable pageable);","Page<Catalog> findAll(Pageable pageable);","Pages getPages();","Page<ChatDTO> search(String query, Pageable pageable);","@Override\n\tpublic JSONObject getByPage(String param) {\n\t\tJSONObject data = new JSONObject();\n\t\tJSONObject result = new JSONObject();\n\t\tMainUtility mainUtil = new MainUtility();\n\t\tJSONObject jsonParams = mainUtil.stringToJson(param);\n\t\tStringBuilder builder = new StringBuilder();\n\t\tStringBuilder builderGetTotal = new StringBuilder();\n\n\t\tbuilder.append(\"SELECT `wt_id`, `wt_title`, `wt_content`, user.full_name, \"\n\t\t\t\t+ \"IF(writing_test.created_date IS NULL,null, DATE_FORMAT(writing_test.created_date, '%d-%m-%Y')) AS created_date FROM writing_test \"\n\t\t\t\t+ \"LEFT JOIN crm_user AS user ON writing_test.created_by = user.user_id WHERE 1=1 \");\n\t\tbuilderGetTotal.append(\"SELECT COUNT(1) FROM `writing_test` \"\n\t\t\t\t+ \" WHERE 1=1\");\n\t\t// filter header\n\t\tif (jsonParams.get(\"status\") == null || Integer.parseInt(jsonParams.get(\"status\").toString()) == -1) {\n\t\t\tbuilder.append(\" AND writing_test.deleted <> 1\");\n\t\t\tbuilderGetTotal.append(\" AND writing_test.deleted <> 1\");\n\t\t} else if (Integer.parseInt(jsonParams.get(\"status\").toString()) == -2) {// thùng rác\n\t\t\tbuilder.append(\" AND writing_test.deleted = 1\");\n\t\t\tbuilderGetTotal.append(\" AND writing_test.deleted = 1\");\n\t\t}\n\t\tif (jsonParams.get(\"wt_title\") != null && !\"\".equals(jsonParams.get(\"wt_title\").toString())) {\n\t\t\tbuilder.append(\" AND wt_title LIKE N'%\" + jsonParams.get(\"wt_title\").toString() + \"%'\");\n\t\t\tbuilderGetTotal\n\t\t\t\t\t.append(\" AND wt_title LIKE N'%\" + jsonParams.get(\"wt_title\").toString() + \"%'\");\n\t\t}\n\t\tif (jsonParams.get(\"wt_content\") != null && !\"\".equals(jsonParams.get(\"wt_content\").toString())) {\n\t\t\tbuilder.append(\" AND wt_content LIKE N'%\" + jsonParams.get(\"wt_content\").toString() + \"%'\");\n\t\t\tbuilderGetTotal\n\t\t\t\t\t.append(\" AND wt_content LIKE N'%\" + jsonParams.get(\"wt_content\").toString() + \"%'\");\n\t\t}\n\t\t// sortby\n\t\tif (jsonParams.get(\"sortField\") != null && !\"\".equals(jsonParams.get(\"sortField\").toString())) {\n\t\t\tswitch (jsonParams.get(\"sortField\").toString()) {\n\t\t\tdefault:\n\t\t\t\tbuilder.append(\" ORDER BY writing_test.created_date DESC\");\n\t\t\t\tbreak;\n\t\t\t}\n//\t\t\tif (jsonParams.get(\"sortOrder\") != null && \"descend\".equals(jsonParams.get(\"sortOrder\").toString())) {\n//\t\t\t\tbuilder.append(\" DESC\");\n//\t\t\t}\n//\t\t\tif (jsonParams.get(\"sortOrder\") != null && \"ascend\".equals(jsonParams.get(\"sortOrder\").toString())) {\n//\t\t\t\tbuilder.append(\" ASC\");\n//\t\t\t}\n\t\t}\n\t\tmainUtil.getLimitOffset(builder, jsonParams);\n\t\ttry {\n\t\t\tint totalRow = this.jdbcTemplate.queryForObject(builderGetTotal.toString(), Integer.class);\n\t\t\tList<Map<String, Object>> lstWrittingTest = this.jdbcTemplate.queryForList(builder.toString());\n\t\t\tJSONObject results = new JSONObject();\n\t\t\tresults.put(\"results\", lstWrittingTest);\n\t\t\tresults.put(\"total\", totalRow);\n\t\t\tdata.put(\"data\", results);\n\t\t\tdata.put(\"success\", true);\n\t\t} catch (Exception e) {\n\t\t\tdata.put(\"success\", false);\n\t\t\tdata.put(\"err\", e.getMessage());\n\t\t\tdata.put(\"msg\", \"Lấy danh sách bài kiểm tra thất bại\");\n\t\t}\n\t\treturn data;\n\t}","@Query(\"SELECT * FROM content.pages WHERE URL = :url ORDER BY slice\")\n public Result<Slice> getAllByUrl(@Param(\"url\") String url);","List<Activity> findAllPageable(int page, int size);","public abstract <T> Page<T> list(Pageable pageable, Class<T> clazz);","List<E> findAll(int page, int size);","Page<TypeBonDTO> search(String query, Pageable pageable);","public Page<Search> getAll(Integer page) {\r\n\t\tUser user = userService.getLoggedUser();\r\n\t\treturn searchRepository.findAllByUser(user, user.getUserPreferences().getSearchCount().getPageable(page));\r\n\t}","Page<Livre> findAll(Pageable pageable);","@GetMapping(\"all\")\n\tpublic ResponseEntity<Page<Person>> getAllPeople(@RequestParam(defaultValue = \"0\") int pageNum, @RequestParam(defaultValue = \"100\") int pageSize){\n\t\t//20 is the number of results which can also be an input if we decide to have the user be able to pick how many results appear\n\t\t//I just figured that 20 was probably a good number\n\t\tPageable page = PageRequest.of(pageNum, pageSize, Sort.by(\"firstName\"));\n\t\t\t\t\n\t\treturn new ResponseEntity<>(pRepo.findAll(page), HttpStatus.OK);\n\t}","private void executeQuery1(PersistenceManager pm) {\n Query query = pm.newQuery(Book.class, \"pages > 300\");\n Collection results = (Collection)query.execute();\n printCollection(\"Books with more than 300 pages:\", results.iterator());\n query.closeAll();\n }","@Override\n public ResultSet getResultsForAllPaged(String onyen, String assignment, String type, String course, String section, String year, String season, int page, int pageSize) throws SQLException {\n StringBuilder statement = new StringBuilder();\n int count = 0;\n statement.append(\"SELECT * FROM (\\n\");\n if (onyen != null && !onyen.isEmpty()) {\n count++;\n statement.append(\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE user_uid IN (SELECT uid FROM user WHERE onyen = ?))\");\n }\n if (assignment != null && !assignment.isEmpty()) {\n if (count > 0) {\n statement.append(\"\\nUNION ALL\\n\");\n }\n count++;\n statement.append(\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE name = ?))\");\n }\n if (type != null && !type.isEmpty()) {\n if (count > 0) {\n statement.append(\"\\nUNION ALL\\n\");\n }\n count++;\n statement.append(\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE assignment_type_id IN (SELECT id FROM assignment_type WHERE name = ?)))\");\n }\n if (course != null && !course.isEmpty()) {\n if (count > 0) {\n statement.append(\"\\nUNION ALL\\n\");\n }\n count++;\n statement.append(\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE course_id IN (SELECT id FROM course WHERE name = ?)))\");\n }\n if (section != null && !section.isEmpty()) {\n count++;\n if (count > 0) {\n statement.append(\"\\nUNION ALL\\n\");\n }\n statement.append(\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE course_id IN (SELECT id FROM course WHERE section = ?)))\");\n }\n if (year != null && !year.isEmpty()) {\n if (count > 0) {\n statement.append(\"\\nUNION ALL\\n\");\n }\n count++;\n statement.append(\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE course_id IN (SELECT id FROM course WHERE term_id IN (SELECT id FROM term WHERE year = ?))))\");\n }\n if (season != null && !season.isEmpty()) {\n if (count > 0) {\n statement.append(\"\\nUNION ALL\\n\");\n }\n count++;\n statement.append(\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE course_id IN (SELECT id FROM course WHERE term_id IN (SELECT id FROM term WHERE season = ?))))\");\n }\n if (count > 0) {\n statement.append(\")\\n AS result GROUP BY id HAVING count(*) = \").append(count);\n } else {\n statement.setLength(0);\n statement.append(\"SELECT * FROM result\");\n }\n statement.append(\"\\nORDER BY date DESC\");\n statement.append(\"\\nLIMIT \").append(pageSize);\n if(page > 0) {\n statement.append(\"\\nOFFSET \").append(page * pageSize);\n }\n statement.append(\";\");\n //System.out.println(statement.toString());\n PreparedStatement pstmt = connection.prepareStatement(statement.toString());\n int i = 1;\n if (onyen != null && !onyen.isEmpty()) {\n pstmt.setString(i++, onyen);\n }\n if (assignment != null && !assignment.isEmpty()) {\n pstmt.setString(i++, assignment);\n }\n if (type != null && !type.isEmpty()) {\n pstmt.setString(i++, type);\n }\n if (course != null && !course.isEmpty()) {\n pstmt.setString(i++, course);\n }\n if (section != null && !section.isEmpty()) {\n pstmt.setInt(i++, Integer.parseInt(section));\n }\n if (year != null && !year.isEmpty()) {\n pstmt.setInt(i++, Integer.parseInt(year));\n }\n if (season != null && !season.isEmpty()) {\n pstmt.setString(i, season);\n }\n //System.out.println(pstmt.toString());\n return pstmt.executeQuery();\n }","Page<Visited> findAll(Pageable pageable);","List<? extends Page> getPages();","Page<NoteDTO> search(String query, Pageable pageable);","Page<ParaUserDTO> search(String query, Pageable pageable);","public PageInfo<Content> findContentAll(Content content, Integer pageNum, Integer pageSize) {\n\t\tPageHelper.startPage(pageNum, pageSize);\n\t\tList<Content> userList = contentMapper.findAll(content);\n\t\tPageInfo<Content> pageInfo = new PageInfo<Content>(userList);\n\t\treturn pageInfo;\n\t}","public Page<T> list(DetachedCriteria criteria, Integer pageNumber, Integer pageSize);","@Override\r\n\tpublic List<String> queryAll() {\n\t\tList<String> list = homePageDao.queryAll();\r\n\t\treturn list;\r\n\t}","Page<ConsultationInfoDTO> search(String query, Pageable pageable);","Page<Research> findAll(Pageable pageable);","Page<Accessprofile> listAllByPage(Pageable pageable);","Page<Accessprofile> listWithCriterasByPage(List<SearchCriteria> searchCriterias, Pageable pageable);","Page<User> getAll(Pageable pageable, String search);","List<E> page(Page page, Long...params);","Page<Link> findLink(Integer pageNow, Integer pageSize);","PageInfo list(Date beginDate, Date endDate, List<Integer> resources, int pageNo, int pageSize);","Page<ExtendedTextHeader> findAll(Pageable pageable);","int getPage();","@Override\r\n\tpublic List<TUsers> queryByPage(int page, QueryUser query) {\n\t\t\r\n\t\tint start=(page-1)*contests.PAGECONT+1;\r\n\t\tint end=page*contests.PAGECONT;\r\n\t\tquery.setStart(start);\r\n\t\tquery.setEnd(end);\r\n\t\treturn dao.queryByPage(query);\r\n\t}","Page<SpCharInSeq> findAll(String query, Pageable pageable);","public Page<LearningType> findAll(Pageable pageable);","public List<Post> search(PostCriteria criteria, int page, int size);","@ApiOperation(\"分页查询页面列表\")\n @Override\n @GetMapping(\"/list/{page}/{size}\")\n public QueryResponseResult findList(@PathVariable(\"page\") @ApiParam(\"页码\") int page,\n @PathVariable(\"size\") @ApiParam(\"每页查询的条数\") int size,\n QueryPageRequest queryPageRequest) {\n return cmsPageService.findList(page,size,queryPageRequest);\n }","@Test\n public void queryByPage() {\n List<Album> albums = albumDao.SelectByPage(1, 5);\n for (Album album : albums) {\n System.out.println(album);\n }\n }","Page<ServiceUserDTO> search(String query, Pageable pageable);","Page<ExamPackage> searchList(int pageNo, int pageSize, Sort sort);","Page getPage();","@Override\r\n\tpublic List<?> queryByPage(String hql, int offset, int pageSize) {\n\t\tTransaction tx = null;\r\n List<?> list = null;\r\n try{\r\n \tSession session = MyHibernateSessionFactory.getSessionFactory().getCurrentSession();\r\n tx = session.beginTransaction();\r\n Query query = session.createQuery(hql).setFirstResult(offset).setMaxResults(pageSize);\r\n list = query.list();\r\n tx.commit();\r\n return list;\r\n }catch(Exception ex){\r\n\t\t\tex.printStackTrace();\r\n\t\t\treturn null;\r\n\t\t}finally{\r\n\t\t\tif(tx!=null){\r\n\t\t\t\ttx=null;\r\n\t\t\t}\r\n\t\t\t//HibernateUtil.closeSession(session);\r\n\t\t}\r\n \r\n\t}","public GoodreadsResponse getSearchResults(String query, int page) throws JAXBException {\n String uri = this.apiServer + this.searchApiEndpoint + \"?q={query}&key={key}&page={page}\";\n return (GoodreadsResponse) unmarshaller.unmarshal(\n new ByteArrayInputStream(restTemplate.getForObject(uri, String.class, query, apiKey, page).getBytes()));\n }","Page<Accessprofile> listWithCriteraByPage(SearchCriteria searchCriteria, Pageable pageable);","public IScapSyncSearchPage[] getPages();","List<Product>findAllBy(Pageable pageable);","public abstract Page<CustomerOrder> findAll(GlobalSearch globalSearch, Pageable pageable);","Page<Preferences> findAll(Pageable pageable);","Page<Student> findPaginated(int pageNo, int pageSize);","Page<CardDTO> findAll(Pageable pageable);","public Page<CustomersListSearchConditionsDTO> findAll(Pageable pageable);","void findWithPagination(Pagination<Task, Project> pagination);","@GET(\"w/api.php?action=query&format=json&redirects\")\n Call<JsonElement> getPageFromTitle(@Query(\"titles\") String titles);","Page<Tbc_analises_componente> search(String query, Pageable pageable);","List<T> getAllWithQuery(String query);","public void getArticles(int page, final String query, FilterSettings\n filterSettings, JsonHttpResponseHandler handler) {\n RequestParams requestParams = getRequestParams(page, query, filterSettings);\n client.get(API_SEARCH_URL, requestParams, handler);\n }","public final List<Page> getAll() throws DAOException {\n String query = \"SELECT id, name, description, json FROM pages\";\n\n Connection con = null;\n PreparedStatement pstmt = null;\n ResultSet rs = null;\n\n List<Page> pageList = new ArrayList<Page>();\n\n try {\n con = JDBCDAOFactory.getConnection();\n pstmt = con.prepareStatement(query);\n rs = pstmt.executeQuery();\n while (rs.next()) {\n Page page = new Page();\n page.setId(rs.getInt(\"id\"));\n page.setName(rs.getString(\"name\"));\n page.setDescription(rs.getString(\"description\"));\n page.setJson(rs.getString(\"description\"));\n\n pageList.add(page);\n }\n\n rs.close();\n } catch (SQLException ex) {\n throw new DAOException(ex);\n } finally {\n DBUtils.closeStatement(pstmt);\n DBUtils.closeConnection(con);\n }\n\n return pageList;\n }","Page<LibraryDTO> findAll(Pageable pageable);","void findWithPagination(Pagination<Activity, Assignment> pagination);","public List<Page> getRealPages() {\n List<Page> pages = new ArrayList<>(pageRepository.findByUrlIsNotNull().stream().filter(p -> !p.getUrl().equals(\"\")).collect(Collectors.toList()));\n Comparator<Page> c = (a, b) -> a.getName().compareToIgnoreCase(b.getName());\n pages.sort(c);\n return pages;\n }","Page<Contact> getContacts(int index, int size);","PaginatedResponse<Office> findAllPaginated( int page, int pageSize );","@Override\n\tpublic Result getNewsByPage(Page page) {\n\t\tList<News> newsList = indexMapper.selectAll();\n\t\tResult result = new Result(1,\"success\",newsList);\n//\t\tSystem.out.println(\"indexService\"+newsList);\n\t\treturn result;\n\t}","public void index() {\n Integer pageNum = getParaToInt(\"pageNum\");\n Boolean includeContent = getParaToBoolean(\"includeContent\", false);\n\n if (pageNum == null) {\n mResult.fail(102);\n renderJson(mResult);\n return;\n }\n Page<Blog> blogAbstracts;\n if (!includeContent) {\n blogAbstracts = mBlogService.queryWithoutContent(pageNum);\n } else {\n blogAbstracts = mBlogService.queryAll(pageNum);\n }\n\n if (blogAbstracts.getList().size() == 0) {\n mResult.fail(107);\n } else {\n mResult.success(blogAbstracts.getList());\n }\n renderJson(mResult);\n }","Observable<Page<E>> search(C criteria);","@Override\n\tpublic List<Signuptable> findPage(String where, int startIndex, int pageSize) {\n\t\treturn null;\n\t}","public abstract Page<CustomerInfo> findAllByIdsIn(List<Long> ids, GlobalSearch globalSearch, Pageable pageable);","public Publication[] getResultsWindow(int pageNum, int pageSize) {\n\n Publication[] searchResult = null;\n\n searchResult = \n getSearchStateFromUserContext().getSearchResults().getResultSet();\n\n int numResults = searchResult.length;\n int numTotalResults = getSearchStateFromUserContext().getResultsTotalSize();\n numTotalResults = numTotalResults > 1000 ? 1000 : numTotalResults;\n\n // 2011-09-12 MSJ\n // Page size should be compared to TOTAL number of results because we\n // are in here to grab a NEW window, not the previous one.\n\n if (pageSize > numTotalResults)\n {\n pageSize = numTotalResults;\n }\n pageNum = Math.min( (int)Math.ceil( numTotalResults * 1.0 / pageSize ), pageNum );\n int startPos = (pageNum - 1) * pageSize;\n\n // 2011-09-12 MSJ\n // We have to take into account both page offset AND page size because\n // we might be coming in here to get a larger window, not just a window\n // for a page greater than one...\n\n if (startPos > searchResult.length - 1 || (pageSize > searchResult.length && numTotalResults > pageSize))\n {\n \t//we don't have enough results to show this page, we need to get the next 100 and add to results\n \tCCSearchCriteria ccSearchCriteria = getSearchStateFromUserContext().getSearchCriteria();\n \tPublicationSearch criteria = ccSearchCriteria.getPublicationSearch();\n \t\n \tString sortBy = PublicationSearch.SORT_RELEVANCE;\n \n if (ccSearchCriteria.getSortType() == 1) sortBy = PublicationSearch.SORT_TITLE;\n if (ccSearchCriteria.getSortType() == 2) sortBy = PublicationSearch.SORT_PUBLISHER;\n \n // get last accessed page number\n int previousPageNum=searchResult.length/pageSize;\n int skippedPages=pageNum-previousPageNum;\n\n if(skippedPages>1 ){// we are showing only 4 records at a time\n \t//user can jump to 3rd or 4th records only hence fill the holes\n \t for(int pageCount=previousPageNum+1;pageCount<=pageNum; pageCount++ ){\n \t\t performSearch( criteria, sortBy, pageCount, 100, pageSize);\t \n \t }\n }\n else{\n \tperformSearch( criteria, sortBy, pageNum, 100, pageSize);\n }\n searchResult = \n getSearchStateFromUserContext().getSearchResults().getResultSet();\n }\n if ((startPos + pageSize) > searchResult.length){\n \t//adjust page size to last remaining records e.g 382 : page size (1)100, (2)100,(3)100 and (4)82\n \tpageSize = searchResult.length - startPos;\n }\n \n getSearchStateFromUserContext().setCurrentPage(pageNum);\n getSearchStateFromUserContext().setPageSize(pageSize);\n\n Publication[] resultWindow = new Publication[pageSize];\n System.arraycopy(searchResult, startPos, resultWindow, \n 0, pageSize);\n\n return resultWindow;\n }","public List<Page> hits(String query) {\n\t\t// pages <- EXPAND-PAGES(RELEVANT-PAGES(query))\n\t\tList<Page> pages = expandPages(relevantPages(query));\n\t\t// for each p in pages\n\t\tfor (Page p : pages) {\n\t\t\t// p.AUTHORITY <- 1\n\t\t\tp.authority = 1;\n\t\t\t// p.HUB <- 1\n\t\t\tp.hub = 1;\n\t\t}\n\t\t// repeat until convergence do\n\t\twhile (!convergence(pages)) {\n\t\t\t// for each p in pages do\n\t\t\tfor (Page p : pages) {\n\t\t\t\t// p.AUTHORITY <- &Sigma<sub>i</sub> INLINK<sub>i</sub>(p).HUB\n\t\t\t\tp.authority = SumInlinkHubScore(p);\n\t\t\t\t// p.HUB <- Σ<sub>i</sub> OUTLINK<sub>i</sub>(p).AUTHORITY\n\t\t\t\tp.hub = SumOutlinkAuthorityScore(p);\n\t\t\t}\n\t\t\t// NORMALIZE(pages)\n\t\t\tnormalize(pages);\n\t\t}\n\t\treturn pages;\n\n\t}","List<Board> boardListPage(Criteria cri) throws Exception;","Page<UserPortfolioDTO> search(String query, Pageable pageable);","Integer getPage();","private void articleSearch(final String query, final int page) {\n Log.d(\"DEBUG\", \"Search query: \" + query + \"; page: \"+ page);\n if (query.isEmpty() || page == PAGE_MAX || !isOnline()) {\n return;\n }\n if (page == FIRST_PAGE) {\n articles.clear();\n articleArrayAdapter.notifyDataSetChanged();\n }\n this.client.getArticles(page, query, this.filterSettings, new JsonHttpResponseHandler\n () {\n @Override\n public void onSuccess(int statusCode, Header[] headers, JSONObject response) {\n JSONArray articleJsonResults = null;\n try {\n articleJsonResults = response.getJSONObject(RESPONSE_KEY)\n .getJSONArray(DOCS_KEY);\n articles.addAll(Article.fromJSONArray(articleJsonResults));\n articleArrayAdapter.notifyDataSetChanged();\n }\n catch (JSONException e) {\n e.printStackTrace();\n }\n }\n\n @Override\n public void onFailure(int statusCode, Header[] headers, Throwable throwable, JSONObject errorResponse) {\n super.onFailure(statusCode, headers, throwable, errorResponse);\n if (statusCode == 429 && errorResponse.toString().equals(\"{\\\"message\\\":\\\"API rate limit exceeded\\\"}\")) {\n Log.d(\"DEBUG\", \"API rate limit exceeded. Retrying in 2s.\");\n Handler handler = new Handler();\n handler.postDelayed(() -> articleSearch(query, page), RETRY_DELAY_MILLIS);\n }\n }\n });\n }","List<Product> getProductPage(int pageNumber, int pageSize);","Set<String> getUsers(String page);","@Override\n @Transactional(readOnly = true)\n public Page<CollectionDTO> search(String query, Pageable pageable) {\n log.debug(\"Request to search for a page of Collections for query {}\", query);\n Page<Collection> result = collectionSearchRepository.search(queryStringQuery(query), pageable);\n return result.map(collectionMapper::toDto);\n }","@RequiresAuthentication\n @RequiresPermissions(value = {\"xmglPage\"})\n @RequestMapping(value = \"/xmgl/{pageNow}\", method = RequestMethod.GET)\n public ResponseResult<PageInfo<XmglModel>> findAll(@PathVariable(\"pageNow\") int pageNow,\n @ModelAttribute(\"form\") XmglModel model) throws Exception {\n return service.findAll(pageNow, pageSize, model);\n }","Page<BaacDTO> findAll(Pageable pageable);","@Override\n @Transactional(readOnly = true)\n public Page<Books> search(String query, Pageable pageable) {\n log.debug(\"Request to search for a page of Books for query {}\", query);\n return booksSearchRepository.search(queryStringQuery(query), pageable); }","Page getList(ViewResourceSearchVO viewResourceSearchVO) throws Exception;","@Override\r\n\tpublic List<Book> findSomeBook(PageEntiy entiy) {\n\t\tString sql = \"select * from books where tag=1 limit ?,?\";\r\n\t\t\r\n\t\t\ttry {\r\n\t\t\t\tList<Book> books = runner.query(sql,new BeanListHandler<Book>(Book.class),entiy.getPageNum()*entiy.getPageSize(),entiy.getPageSize());\r\n\t\t\t\t\t\r\n\t\t\t\treturn books;\r\n\t\t\t} catch (SQLException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t\r\n\t\treturn null;\r\n\t}","Page<PathHistory> findAll(Pageable pageable);","public Page<T> findAll(Pageable arg0) {\n\t\treturn null;\n\t}","Page<Person> findAll(Pageable pageable);","@GetMapping(\"/_search/all-charts\")\n @Timed\n public ResponseEntity<List<ChartVO>> searchAllCharts(@RequestParam String query, Pageable pageable) throws URISyntaxException {\n log.debug(\"REST request to search Charts for query {}\", query);\n Page<Chart> charts = chartSearchRepository.search(wrapperQuery(query), pageable);\n List<ChartVO> chartVOS = charts.getContent().stream()\n .map(chart -> {\n String bed = (chart.getBed() != null) ? chart.getBed().getName() : \"\";\n String patientProgram = (chart.getTypePatientPrograms() != null) ? chart.getTypePatientPrograms().getName() : \"\";\n String picture = (chart.getPictureRef() != null) ? chart.getPictureRef().getPicture() : \"\";\n String pictureCT = (chart.getPictureRef() != null) ? chart.getPictureRef().getPictureContentType() : \"\";\n ChartVO chartVO = new ChartVO(chart.getId(), chart.getPatient().getFirstName(), chart.getPatient().getLastName(),\n chart.getMrNo(), bed, patientProgram, chart.getTypePaymentMethods().getName(), chart.getFacility().getName(),\n picture, pictureCT\n );\n chartVO.setAdmissionDate(chart.getAdmissionDate());\n chartVO.setDischargeDate(chart.getDischargeDate());\n chartVO.setWaitingRoom(chart.isWaitingRoom());\n return chartVO;\n })\n// .sorted(Comparator.comparing(ChartVO::getFirstName))\n .collect(Collectors.toList());\n HttpHeaders httpHeaders = PaginationUtil.generatePaginationHttpHeaders(charts, \"api/_search/all-charts\");\n return new ResponseEntity<>(chartVOS, httpHeaders, HttpStatus.OK);\n }","SearchResultVO<Project> findAll(int nextPage, int num, String sortColName, String sortDirection);","List<MasterZipcode> getByPage(int pageNo);","List<CustomerInformation> queryListByCustomer(Integer page, Integer rows, CustomerInformation cust);"],"string":"[\n \"Page<Preferences> search(String query, Pageable pageable);\",\n \"@Override\\n public List<Page> findAll() {\\n Query q = new Query(\\\"pages\\\");\\n // Use PreparedQuery interface to retrieve results\\n PreparedQuery pq = datastore.prepare(q);\\n List<Entity> list = pq.asList(FetchOptions.Builder.withDefaults());\\n List<Page> result = new ArrayList<>();\\n for (Entity entity : list) {\\n Page page = new Page();\\n page.setId(entity.getKey().getId());\\n page.setTitle(entity.getProperty(\\\"title\\\").toString());\\n page.setDescription(entity.getProperty(\\\"description\\\").toString());\\n page.setUrl(entity.getProperty(\\\"url\\\").toString());\\n page.setCrawled((boolean) entity.getProperty(\\\"crawled\\\"));\\n result.add(page);\\n }\\n return result;\\n }\",\n \"public List<Page> searchAll() {\\n return mysqlDao.searchAll();\\n }\",\n \"public List<PageContent> getAllPageContent();\",\n \"List<T> findPage(int pageNumber);\",\n \"Page<T> search(Pageable pageable, String query);\",\n \"List<JournalPage> getAllPages();\",\n \"public Result findByPage(Page page,String hql, Object... params) ;\",\n \"public abstract Page<CustomerInfo> findAll(GlobalSearch globalSearch, Pageable pageable);\",\n \"Results getResultsPage(FilterSpecifier.ListBy listBy, int page) throws SearchServiceException;\",\n \"Page<T> search(Pageable pageable, QueryBuilder query);\",\n \"public Vector<WbRecord> getAllPages() {\\n\\t\\tVector<WbRecord> content = getNPages(130000000);\\n\\t\\tSystem.out.println(\\\"Number of pages expected:\\t\\\" + this.numPagesRequested);\\n\\t\\tSystem.out.println(\\\"Actual number of pages wbRecordReader crawl:\\t\\\" + this.totalNumPagesRetrieved);\\n\\t\\treturn content;\\n\\t}\",\n \"Page<T> findAll(Pageable pageable);\",\n \"Page<Catalog> findAll(Pageable pageable);\",\n \"Pages getPages();\",\n \"Page<ChatDTO> search(String query, Pageable pageable);\",\n \"@Override\\n\\tpublic JSONObject getByPage(String param) {\\n\\t\\tJSONObject data = new JSONObject();\\n\\t\\tJSONObject result = new JSONObject();\\n\\t\\tMainUtility mainUtil = new MainUtility();\\n\\t\\tJSONObject jsonParams = mainUtil.stringToJson(param);\\n\\t\\tStringBuilder builder = new StringBuilder();\\n\\t\\tStringBuilder builderGetTotal = new StringBuilder();\\n\\n\\t\\tbuilder.append(\\\"SELECT `wt_id`, `wt_title`, `wt_content`, user.full_name, \\\"\\n\\t\\t\\t\\t+ \\\"IF(writing_test.created_date IS NULL,null, DATE_FORMAT(writing_test.created_date, '%d-%m-%Y')) AS created_date FROM writing_test \\\"\\n\\t\\t\\t\\t+ \\\"LEFT JOIN crm_user AS user ON writing_test.created_by = user.user_id WHERE 1=1 \\\");\\n\\t\\tbuilderGetTotal.append(\\\"SELECT COUNT(1) FROM `writing_test` \\\"\\n\\t\\t\\t\\t+ \\\" WHERE 1=1\\\");\\n\\t\\t// filter header\\n\\t\\tif (jsonParams.get(\\\"status\\\") == null || Integer.parseInt(jsonParams.get(\\\"status\\\").toString()) == -1) {\\n\\t\\t\\tbuilder.append(\\\" AND writing_test.deleted <> 1\\\");\\n\\t\\t\\tbuilderGetTotal.append(\\\" AND writing_test.deleted <> 1\\\");\\n\\t\\t} else if (Integer.parseInt(jsonParams.get(\\\"status\\\").toString()) == -2) {// thùng rác\\n\\t\\t\\tbuilder.append(\\\" AND writing_test.deleted = 1\\\");\\n\\t\\t\\tbuilderGetTotal.append(\\\" AND writing_test.deleted = 1\\\");\\n\\t\\t}\\n\\t\\tif (jsonParams.get(\\\"wt_title\\\") != null && !\\\"\\\".equals(jsonParams.get(\\\"wt_title\\\").toString())) {\\n\\t\\t\\tbuilder.append(\\\" AND wt_title LIKE N'%\\\" + jsonParams.get(\\\"wt_title\\\").toString() + \\\"%'\\\");\\n\\t\\t\\tbuilderGetTotal\\n\\t\\t\\t\\t\\t.append(\\\" AND wt_title LIKE N'%\\\" + jsonParams.get(\\\"wt_title\\\").toString() + \\\"%'\\\");\\n\\t\\t}\\n\\t\\tif (jsonParams.get(\\\"wt_content\\\") != null && !\\\"\\\".equals(jsonParams.get(\\\"wt_content\\\").toString())) {\\n\\t\\t\\tbuilder.append(\\\" AND wt_content LIKE N'%\\\" + jsonParams.get(\\\"wt_content\\\").toString() + \\\"%'\\\");\\n\\t\\t\\tbuilderGetTotal\\n\\t\\t\\t\\t\\t.append(\\\" AND wt_content LIKE N'%\\\" + jsonParams.get(\\\"wt_content\\\").toString() + \\\"%'\\\");\\n\\t\\t}\\n\\t\\t// sortby\\n\\t\\tif (jsonParams.get(\\\"sortField\\\") != null && !\\\"\\\".equals(jsonParams.get(\\\"sortField\\\").toString())) {\\n\\t\\t\\tswitch (jsonParams.get(\\\"sortField\\\").toString()) {\\n\\t\\t\\tdefault:\\n\\t\\t\\t\\tbuilder.append(\\\" ORDER BY writing_test.created_date DESC\\\");\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n//\\t\\t\\tif (jsonParams.get(\\\"sortOrder\\\") != null && \\\"descend\\\".equals(jsonParams.get(\\\"sortOrder\\\").toString())) {\\n//\\t\\t\\t\\tbuilder.append(\\\" DESC\\\");\\n//\\t\\t\\t}\\n//\\t\\t\\tif (jsonParams.get(\\\"sortOrder\\\") != null && \\\"ascend\\\".equals(jsonParams.get(\\\"sortOrder\\\").toString())) {\\n//\\t\\t\\t\\tbuilder.append(\\\" ASC\\\");\\n//\\t\\t\\t}\\n\\t\\t}\\n\\t\\tmainUtil.getLimitOffset(builder, jsonParams);\\n\\t\\ttry {\\n\\t\\t\\tint totalRow = this.jdbcTemplate.queryForObject(builderGetTotal.toString(), Integer.class);\\n\\t\\t\\tList<Map<String, Object>> lstWrittingTest = this.jdbcTemplate.queryForList(builder.toString());\\n\\t\\t\\tJSONObject results = new JSONObject();\\n\\t\\t\\tresults.put(\\\"results\\\", lstWrittingTest);\\n\\t\\t\\tresults.put(\\\"total\\\", totalRow);\\n\\t\\t\\tdata.put(\\\"data\\\", results);\\n\\t\\t\\tdata.put(\\\"success\\\", true);\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tdata.put(\\\"success\\\", false);\\n\\t\\t\\tdata.put(\\\"err\\\", e.getMessage());\\n\\t\\t\\tdata.put(\\\"msg\\\", \\\"Lấy danh sách bài kiểm tra thất bại\\\");\\n\\t\\t}\\n\\t\\treturn data;\\n\\t}\",\n \"@Query(\\\"SELECT * FROM content.pages WHERE URL = :url ORDER BY slice\\\")\\n public Result<Slice> getAllByUrl(@Param(\\\"url\\\") String url);\",\n \"List<Activity> findAllPageable(int page, int size);\",\n \"public abstract <T> Page<T> list(Pageable pageable, Class<T> clazz);\",\n \"List<E> findAll(int page, int size);\",\n \"Page<TypeBonDTO> search(String query, Pageable pageable);\",\n \"public Page<Search> getAll(Integer page) {\\r\\n\\t\\tUser user = userService.getLoggedUser();\\r\\n\\t\\treturn searchRepository.findAllByUser(user, user.getUserPreferences().getSearchCount().getPageable(page));\\r\\n\\t}\",\n \"Page<Livre> findAll(Pageable pageable);\",\n \"@GetMapping(\\\"all\\\")\\n\\tpublic ResponseEntity<Page<Person>> getAllPeople(@RequestParam(defaultValue = \\\"0\\\") int pageNum, @RequestParam(defaultValue = \\\"100\\\") int pageSize){\\n\\t\\t//20 is the number of results which can also be an input if we decide to have the user be able to pick how many results appear\\n\\t\\t//I just figured that 20 was probably a good number\\n\\t\\tPageable page = PageRequest.of(pageNum, pageSize, Sort.by(\\\"firstName\\\"));\\n\\t\\t\\t\\t\\n\\t\\treturn new ResponseEntity<>(pRepo.findAll(page), HttpStatus.OK);\\n\\t}\",\n \"private void executeQuery1(PersistenceManager pm) {\\n Query query = pm.newQuery(Book.class, \\\"pages > 300\\\");\\n Collection results = (Collection)query.execute();\\n printCollection(\\\"Books with more than 300 pages:\\\", results.iterator());\\n query.closeAll();\\n }\",\n \"@Override\\n public ResultSet getResultsForAllPaged(String onyen, String assignment, String type, String course, String section, String year, String season, int page, int pageSize) throws SQLException {\\n StringBuilder statement = new StringBuilder();\\n int count = 0;\\n statement.append(\\\"SELECT * FROM (\\\\n\\\");\\n if (onyen != null && !onyen.isEmpty()) {\\n count++;\\n statement.append(\\\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE user_uid IN (SELECT uid FROM user WHERE onyen = ?))\\\");\\n }\\n if (assignment != null && !assignment.isEmpty()) {\\n if (count > 0) {\\n statement.append(\\\"\\\\nUNION ALL\\\\n\\\");\\n }\\n count++;\\n statement.append(\\\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE name = ?))\\\");\\n }\\n if (type != null && !type.isEmpty()) {\\n if (count > 0) {\\n statement.append(\\\"\\\\nUNION ALL\\\\n\\\");\\n }\\n count++;\\n statement.append(\\\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE assignment_type_id IN (SELECT id FROM assignment_type WHERE name = ?)))\\\");\\n }\\n if (course != null && !course.isEmpty()) {\\n if (count > 0) {\\n statement.append(\\\"\\\\nUNION ALL\\\\n\\\");\\n }\\n count++;\\n statement.append(\\\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE course_id IN (SELECT id FROM course WHERE name = ?)))\\\");\\n }\\n if (section != null && !section.isEmpty()) {\\n count++;\\n if (count > 0) {\\n statement.append(\\\"\\\\nUNION ALL\\\\n\\\");\\n }\\n statement.append(\\\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE course_id IN (SELECT id FROM course WHERE section = ?)))\\\");\\n }\\n if (year != null && !year.isEmpty()) {\\n if (count > 0) {\\n statement.append(\\\"\\\\nUNION ALL\\\\n\\\");\\n }\\n count++;\\n statement.append(\\\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE course_id IN (SELECT id FROM course WHERE term_id IN (SELECT id FROM term WHERE year = ?))))\\\");\\n }\\n if (season != null && !season.isEmpty()) {\\n if (count > 0) {\\n statement.append(\\\"\\\\nUNION ALL\\\\n\\\");\\n }\\n count++;\\n statement.append(\\\"SELECT * FROM result WHERE assignment_submission_id IN (SELECT id FROM assignment_submission WHERE assignment_catalog_id IN (SELECT id FROM assignment_catalog WHERE course_id IN (SELECT id FROM course WHERE term_id IN (SELECT id FROM term WHERE season = ?))))\\\");\\n }\\n if (count > 0) {\\n statement.append(\\\")\\\\n AS result GROUP BY id HAVING count(*) = \\\").append(count);\\n } else {\\n statement.setLength(0);\\n statement.append(\\\"SELECT * FROM result\\\");\\n }\\n statement.append(\\\"\\\\nORDER BY date DESC\\\");\\n statement.append(\\\"\\\\nLIMIT \\\").append(pageSize);\\n if(page > 0) {\\n statement.append(\\\"\\\\nOFFSET \\\").append(page * pageSize);\\n }\\n statement.append(\\\";\\\");\\n //System.out.println(statement.toString());\\n PreparedStatement pstmt = connection.prepareStatement(statement.toString());\\n int i = 1;\\n if (onyen != null && !onyen.isEmpty()) {\\n pstmt.setString(i++, onyen);\\n }\\n if (assignment != null && !assignment.isEmpty()) {\\n pstmt.setString(i++, assignment);\\n }\\n if (type != null && !type.isEmpty()) {\\n pstmt.setString(i++, type);\\n }\\n if (course != null && !course.isEmpty()) {\\n pstmt.setString(i++, course);\\n }\\n if (section != null && !section.isEmpty()) {\\n pstmt.setInt(i++, Integer.parseInt(section));\\n }\\n if (year != null && !year.isEmpty()) {\\n pstmt.setInt(i++, Integer.parseInt(year));\\n }\\n if (season != null && !season.isEmpty()) {\\n pstmt.setString(i, season);\\n }\\n //System.out.println(pstmt.toString());\\n return pstmt.executeQuery();\\n }\",\n \"Page<Visited> findAll(Pageable pageable);\",\n \"List<? extends Page> getPages();\",\n \"Page<NoteDTO> search(String query, Pageable pageable);\",\n \"Page<ParaUserDTO> search(String query, Pageable pageable);\",\n \"public PageInfo<Content> findContentAll(Content content, Integer pageNum, Integer pageSize) {\\n\\t\\tPageHelper.startPage(pageNum, pageSize);\\n\\t\\tList<Content> userList = contentMapper.findAll(content);\\n\\t\\tPageInfo<Content> pageInfo = new PageInfo<Content>(userList);\\n\\t\\treturn pageInfo;\\n\\t}\",\n \"public Page<T> list(DetachedCriteria criteria, Integer pageNumber, Integer pageSize);\",\n \"@Override\\r\\n\\tpublic List<String> queryAll() {\\n\\t\\tList<String> list = homePageDao.queryAll();\\r\\n\\t\\treturn list;\\r\\n\\t}\",\n \"Page<ConsultationInfoDTO> search(String query, Pageable pageable);\",\n \"Page<Research> findAll(Pageable pageable);\",\n \"Page<Accessprofile> listAllByPage(Pageable pageable);\",\n \"Page<Accessprofile> listWithCriterasByPage(List<SearchCriteria> searchCriterias, Pageable pageable);\",\n \"Page<User> getAll(Pageable pageable, String search);\",\n \"List<E> page(Page page, Long...params);\",\n \"Page<Link> findLink(Integer pageNow, Integer pageSize);\",\n \"PageInfo list(Date beginDate, Date endDate, List<Integer> resources, int pageNo, int pageSize);\",\n \"Page<ExtendedTextHeader> findAll(Pageable pageable);\",\n \"int getPage();\",\n \"@Override\\r\\n\\tpublic List<TUsers> queryByPage(int page, QueryUser query) {\\n\\t\\t\\r\\n\\t\\tint start=(page-1)*contests.PAGECONT+1;\\r\\n\\t\\tint end=page*contests.PAGECONT;\\r\\n\\t\\tquery.setStart(start);\\r\\n\\t\\tquery.setEnd(end);\\r\\n\\t\\treturn dao.queryByPage(query);\\r\\n\\t}\",\n \"Page<SpCharInSeq> findAll(String query, Pageable pageable);\",\n \"public Page<LearningType> findAll(Pageable pageable);\",\n \"public List<Post> search(PostCriteria criteria, int page, int size);\",\n \"@ApiOperation(\\\"分页查询页面列表\\\")\\n @Override\\n @GetMapping(\\\"/list/{page}/{size}\\\")\\n public QueryResponseResult findList(@PathVariable(\\\"page\\\") @ApiParam(\\\"页码\\\") int page,\\n @PathVariable(\\\"size\\\") @ApiParam(\\\"每页查询的条数\\\") int size,\\n QueryPageRequest queryPageRequest) {\\n return cmsPageService.findList(page,size,queryPageRequest);\\n }\",\n \"@Test\\n public void queryByPage() {\\n List<Album> albums = albumDao.SelectByPage(1, 5);\\n for (Album album : albums) {\\n System.out.println(album);\\n }\\n }\",\n \"Page<ServiceUserDTO> search(String query, Pageable pageable);\",\n \"Page<ExamPackage> searchList(int pageNo, int pageSize, Sort sort);\",\n \"Page getPage();\",\n \"@Override\\r\\n\\tpublic List<?> queryByPage(String hql, int offset, int pageSize) {\\n\\t\\tTransaction tx = null;\\r\\n List<?> list = null;\\r\\n try{\\r\\n \\tSession session = MyHibernateSessionFactory.getSessionFactory().getCurrentSession();\\r\\n tx = session.beginTransaction();\\r\\n Query query = session.createQuery(hql).setFirstResult(offset).setMaxResults(pageSize);\\r\\n list = query.list();\\r\\n tx.commit();\\r\\n return list;\\r\\n }catch(Exception ex){\\r\\n\\t\\t\\tex.printStackTrace();\\r\\n\\t\\t\\treturn null;\\r\\n\\t\\t}finally{\\r\\n\\t\\t\\tif(tx!=null){\\r\\n\\t\\t\\t\\ttx=null;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t//HibernateUtil.closeSession(session);\\r\\n\\t\\t}\\r\\n \\r\\n\\t}\",\n \"public GoodreadsResponse getSearchResults(String query, int page) throws JAXBException {\\n String uri = this.apiServer + this.searchApiEndpoint + \\\"?q={query}&key={key}&page={page}\\\";\\n return (GoodreadsResponse) unmarshaller.unmarshal(\\n new ByteArrayInputStream(restTemplate.getForObject(uri, String.class, query, apiKey, page).getBytes()));\\n }\",\n \"Page<Accessprofile> listWithCriteraByPage(SearchCriteria searchCriteria, Pageable pageable);\",\n \"public IScapSyncSearchPage[] getPages();\",\n \"List<Product>findAllBy(Pageable pageable);\",\n \"public abstract Page<CustomerOrder> findAll(GlobalSearch globalSearch, Pageable pageable);\",\n \"Page<Preferences> findAll(Pageable pageable);\",\n \"Page<Student> findPaginated(int pageNo, int pageSize);\",\n \"Page<CardDTO> findAll(Pageable pageable);\",\n \"public Page<CustomersListSearchConditionsDTO> findAll(Pageable pageable);\",\n \"void findWithPagination(Pagination<Task, Project> pagination);\",\n \"@GET(\\\"w/api.php?action=query&format=json&redirects\\\")\\n Call<JsonElement> getPageFromTitle(@Query(\\\"titles\\\") String titles);\",\n \"Page<Tbc_analises_componente> search(String query, Pageable pageable);\",\n \"List<T> getAllWithQuery(String query);\",\n \"public void getArticles(int page, final String query, FilterSettings\\n filterSettings, JsonHttpResponseHandler handler) {\\n RequestParams requestParams = getRequestParams(page, query, filterSettings);\\n client.get(API_SEARCH_URL, requestParams, handler);\\n }\",\n \"public final List<Page> getAll() throws DAOException {\\n String query = \\\"SELECT id, name, description, json FROM pages\\\";\\n\\n Connection con = null;\\n PreparedStatement pstmt = null;\\n ResultSet rs = null;\\n\\n List<Page> pageList = new ArrayList<Page>();\\n\\n try {\\n con = JDBCDAOFactory.getConnection();\\n pstmt = con.prepareStatement(query);\\n rs = pstmt.executeQuery();\\n while (rs.next()) {\\n Page page = new Page();\\n page.setId(rs.getInt(\\\"id\\\"));\\n page.setName(rs.getString(\\\"name\\\"));\\n page.setDescription(rs.getString(\\\"description\\\"));\\n page.setJson(rs.getString(\\\"description\\\"));\\n\\n pageList.add(page);\\n }\\n\\n rs.close();\\n } catch (SQLException ex) {\\n throw new DAOException(ex);\\n } finally {\\n DBUtils.closeStatement(pstmt);\\n DBUtils.closeConnection(con);\\n }\\n\\n return pageList;\\n }\",\n \"Page<LibraryDTO> findAll(Pageable pageable);\",\n \"void findWithPagination(Pagination<Activity, Assignment> pagination);\",\n \"public List<Page> getRealPages() {\\n List<Page> pages = new ArrayList<>(pageRepository.findByUrlIsNotNull().stream().filter(p -> !p.getUrl().equals(\\\"\\\")).collect(Collectors.toList()));\\n Comparator<Page> c = (a, b) -> a.getName().compareToIgnoreCase(b.getName());\\n pages.sort(c);\\n return pages;\\n }\",\n \"Page<Contact> getContacts(int index, int size);\",\n \"PaginatedResponse<Office> findAllPaginated( int page, int pageSize );\",\n \"@Override\\n\\tpublic Result getNewsByPage(Page page) {\\n\\t\\tList<News> newsList = indexMapper.selectAll();\\n\\t\\tResult result = new Result(1,\\\"success\\\",newsList);\\n//\\t\\tSystem.out.println(\\\"indexService\\\"+newsList);\\n\\t\\treturn result;\\n\\t}\",\n \"public void index() {\\n Integer pageNum = getParaToInt(\\\"pageNum\\\");\\n Boolean includeContent = getParaToBoolean(\\\"includeContent\\\", false);\\n\\n if (pageNum == null) {\\n mResult.fail(102);\\n renderJson(mResult);\\n return;\\n }\\n Page<Blog> blogAbstracts;\\n if (!includeContent) {\\n blogAbstracts = mBlogService.queryWithoutContent(pageNum);\\n } else {\\n blogAbstracts = mBlogService.queryAll(pageNum);\\n }\\n\\n if (blogAbstracts.getList().size() == 0) {\\n mResult.fail(107);\\n } else {\\n mResult.success(blogAbstracts.getList());\\n }\\n renderJson(mResult);\\n }\",\n \"Observable<Page<E>> search(C criteria);\",\n \"@Override\\n\\tpublic List<Signuptable> findPage(String where, int startIndex, int pageSize) {\\n\\t\\treturn null;\\n\\t}\",\n \"public abstract Page<CustomerInfo> findAllByIdsIn(List<Long> ids, GlobalSearch globalSearch, Pageable pageable);\",\n \"public Publication[] getResultsWindow(int pageNum, int pageSize) {\\n\\n Publication[] searchResult = null;\\n\\n searchResult = \\n getSearchStateFromUserContext().getSearchResults().getResultSet();\\n\\n int numResults = searchResult.length;\\n int numTotalResults = getSearchStateFromUserContext().getResultsTotalSize();\\n numTotalResults = numTotalResults > 1000 ? 1000 : numTotalResults;\\n\\n // 2011-09-12 MSJ\\n // Page size should be compared to TOTAL number of results because we\\n // are in here to grab a NEW window, not the previous one.\\n\\n if (pageSize > numTotalResults)\\n {\\n pageSize = numTotalResults;\\n }\\n pageNum = Math.min( (int)Math.ceil( numTotalResults * 1.0 / pageSize ), pageNum );\\n int startPos = (pageNum - 1) * pageSize;\\n\\n // 2011-09-12 MSJ\\n // We have to take into account both page offset AND page size because\\n // we might be coming in here to get a larger window, not just a window\\n // for a page greater than one...\\n\\n if (startPos > searchResult.length - 1 || (pageSize > searchResult.length && numTotalResults > pageSize))\\n {\\n \\t//we don't have enough results to show this page, we need to get the next 100 and add to results\\n \\tCCSearchCriteria ccSearchCriteria = getSearchStateFromUserContext().getSearchCriteria();\\n \\tPublicationSearch criteria = ccSearchCriteria.getPublicationSearch();\\n \\t\\n \\tString sortBy = PublicationSearch.SORT_RELEVANCE;\\n \\n if (ccSearchCriteria.getSortType() == 1) sortBy = PublicationSearch.SORT_TITLE;\\n if (ccSearchCriteria.getSortType() == 2) sortBy = PublicationSearch.SORT_PUBLISHER;\\n \\n // get last accessed page number\\n int previousPageNum=searchResult.length/pageSize;\\n int skippedPages=pageNum-previousPageNum;\\n\\n if(skippedPages>1 ){// we are showing only 4 records at a time\\n \\t//user can jump to 3rd or 4th records only hence fill the holes\\n \\t for(int pageCount=previousPageNum+1;pageCount<=pageNum; pageCount++ ){\\n \\t\\t performSearch( criteria, sortBy, pageCount, 100, pageSize);\\t \\n \\t }\\n }\\n else{\\n \\tperformSearch( criteria, sortBy, pageNum, 100, pageSize);\\n }\\n searchResult = \\n getSearchStateFromUserContext().getSearchResults().getResultSet();\\n }\\n if ((startPos + pageSize) > searchResult.length){\\n \\t//adjust page size to last remaining records e.g 382 : page size (1)100, (2)100,(3)100 and (4)82\\n \\tpageSize = searchResult.length - startPos;\\n }\\n \\n getSearchStateFromUserContext().setCurrentPage(pageNum);\\n getSearchStateFromUserContext().setPageSize(pageSize);\\n\\n Publication[] resultWindow = new Publication[pageSize];\\n System.arraycopy(searchResult, startPos, resultWindow, \\n 0, pageSize);\\n\\n return resultWindow;\\n }\",\n \"public List<Page> hits(String query) {\\n\\t\\t// pages <- EXPAND-PAGES(RELEVANT-PAGES(query))\\n\\t\\tList<Page> pages = expandPages(relevantPages(query));\\n\\t\\t// for each p in pages\\n\\t\\tfor (Page p : pages) {\\n\\t\\t\\t// p.AUTHORITY <- 1\\n\\t\\t\\tp.authority = 1;\\n\\t\\t\\t// p.HUB <- 1\\n\\t\\t\\tp.hub = 1;\\n\\t\\t}\\n\\t\\t// repeat until convergence do\\n\\t\\twhile (!convergence(pages)) {\\n\\t\\t\\t// for each p in pages do\\n\\t\\t\\tfor (Page p : pages) {\\n\\t\\t\\t\\t// p.AUTHORITY <- &Sigma<sub>i</sub> INLINK<sub>i</sub>(p).HUB\\n\\t\\t\\t\\tp.authority = SumInlinkHubScore(p);\\n\\t\\t\\t\\t// p.HUB <- Σ<sub>i</sub> OUTLINK<sub>i</sub>(p).AUTHORITY\\n\\t\\t\\t\\tp.hub = SumOutlinkAuthorityScore(p);\\n\\t\\t\\t}\\n\\t\\t\\t// NORMALIZE(pages)\\n\\t\\t\\tnormalize(pages);\\n\\t\\t}\\n\\t\\treturn pages;\\n\\n\\t}\",\n \"List<Board> boardListPage(Criteria cri) throws Exception;\",\n \"Page<UserPortfolioDTO> search(String query, Pageable pageable);\",\n \"Integer getPage();\",\n \"private void articleSearch(final String query, final int page) {\\n Log.d(\\\"DEBUG\\\", \\\"Search query: \\\" + query + \\\"; page: \\\"+ page);\\n if (query.isEmpty() || page == PAGE_MAX || !isOnline()) {\\n return;\\n }\\n if (page == FIRST_PAGE) {\\n articles.clear();\\n articleArrayAdapter.notifyDataSetChanged();\\n }\\n this.client.getArticles(page, query, this.filterSettings, new JsonHttpResponseHandler\\n () {\\n @Override\\n public void onSuccess(int statusCode, Header[] headers, JSONObject response) {\\n JSONArray articleJsonResults = null;\\n try {\\n articleJsonResults = response.getJSONObject(RESPONSE_KEY)\\n .getJSONArray(DOCS_KEY);\\n articles.addAll(Article.fromJSONArray(articleJsonResults));\\n articleArrayAdapter.notifyDataSetChanged();\\n }\\n catch (JSONException e) {\\n e.printStackTrace();\\n }\\n }\\n\\n @Override\\n public void onFailure(int statusCode, Header[] headers, Throwable throwable, JSONObject errorResponse) {\\n super.onFailure(statusCode, headers, throwable, errorResponse);\\n if (statusCode == 429 && errorResponse.toString().equals(\\\"{\\\\\\\"message\\\\\\\":\\\\\\\"API rate limit exceeded\\\\\\\"}\\\")) {\\n Log.d(\\\"DEBUG\\\", \\\"API rate limit exceeded. Retrying in 2s.\\\");\\n Handler handler = new Handler();\\n handler.postDelayed(() -> articleSearch(query, page), RETRY_DELAY_MILLIS);\\n }\\n }\\n });\\n }\",\n \"List<Product> getProductPage(int pageNumber, int pageSize);\",\n \"Set<String> getUsers(String page);\",\n \"@Override\\n @Transactional(readOnly = true)\\n public Page<CollectionDTO> search(String query, Pageable pageable) {\\n log.debug(\\\"Request to search for a page of Collections for query {}\\\", query);\\n Page<Collection> result = collectionSearchRepository.search(queryStringQuery(query), pageable);\\n return result.map(collectionMapper::toDto);\\n }\",\n \"@RequiresAuthentication\\n @RequiresPermissions(value = {\\\"xmglPage\\\"})\\n @RequestMapping(value = \\\"/xmgl/{pageNow}\\\", method = RequestMethod.GET)\\n public ResponseResult<PageInfo<XmglModel>> findAll(@PathVariable(\\\"pageNow\\\") int pageNow,\\n @ModelAttribute(\\\"form\\\") XmglModel model) throws Exception {\\n return service.findAll(pageNow, pageSize, model);\\n }\",\n \"Page<BaacDTO> findAll(Pageable pageable);\",\n \"@Override\\n @Transactional(readOnly = true)\\n public Page<Books> search(String query, Pageable pageable) {\\n log.debug(\\\"Request to search for a page of Books for query {}\\\", query);\\n return booksSearchRepository.search(queryStringQuery(query), pageable); }\",\n \"Page getList(ViewResourceSearchVO viewResourceSearchVO) throws Exception;\",\n \"@Override\\r\\n\\tpublic List<Book> findSomeBook(PageEntiy entiy) {\\n\\t\\tString sql = \\\"select * from books where tag=1 limit ?,?\\\";\\r\\n\\t\\t\\r\\n\\t\\t\\ttry {\\r\\n\\t\\t\\t\\tList<Book> books = runner.query(sql,new BeanListHandler<Book>(Book.class),entiy.getPageNum()*entiy.getPageSize(),entiy.getPageSize());\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\treturn books;\\r\\n\\t\\t\\t} catch (SQLException e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\r\\n\\t\\t\\t\\te.printStackTrace();\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn null;\\r\\n\\t}\",\n \"Page<PathHistory> findAll(Pageable pageable);\",\n \"public Page<T> findAll(Pageable arg0) {\\n\\t\\treturn null;\\n\\t}\",\n \"Page<Person> findAll(Pageable pageable);\",\n \"@GetMapping(\\\"/_search/all-charts\\\")\\n @Timed\\n public ResponseEntity<List<ChartVO>> searchAllCharts(@RequestParam String query, Pageable pageable) throws URISyntaxException {\\n log.debug(\\\"REST request to search Charts for query {}\\\", query);\\n Page<Chart> charts = chartSearchRepository.search(wrapperQuery(query), pageable);\\n List<ChartVO> chartVOS = charts.getContent().stream()\\n .map(chart -> {\\n String bed = (chart.getBed() != null) ? chart.getBed().getName() : \\\"\\\";\\n String patientProgram = (chart.getTypePatientPrograms() != null) ? chart.getTypePatientPrograms().getName() : \\\"\\\";\\n String picture = (chart.getPictureRef() != null) ? chart.getPictureRef().getPicture() : \\\"\\\";\\n String pictureCT = (chart.getPictureRef() != null) ? chart.getPictureRef().getPictureContentType() : \\\"\\\";\\n ChartVO chartVO = new ChartVO(chart.getId(), chart.getPatient().getFirstName(), chart.getPatient().getLastName(),\\n chart.getMrNo(), bed, patientProgram, chart.getTypePaymentMethods().getName(), chart.getFacility().getName(),\\n picture, pictureCT\\n );\\n chartVO.setAdmissionDate(chart.getAdmissionDate());\\n chartVO.setDischargeDate(chart.getDischargeDate());\\n chartVO.setWaitingRoom(chart.isWaitingRoom());\\n return chartVO;\\n })\\n// .sorted(Comparator.comparing(ChartVO::getFirstName))\\n .collect(Collectors.toList());\\n HttpHeaders httpHeaders = PaginationUtil.generatePaginationHttpHeaders(charts, \\\"api/_search/all-charts\\\");\\n return new ResponseEntity<>(chartVOS, httpHeaders, HttpStatus.OK);\\n }\",\n \"SearchResultVO<Project> findAll(int nextPage, int num, String sortColName, String sortDirection);\",\n \"List<MasterZipcode> getByPage(int pageNo);\",\n \"List<CustomerInformation> queryListByCustomer(Integer page, Integer rows, CustomerInformation cust);\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.66838837","0.6653635","0.66460526","0.64870507","0.6441454","0.6337714","0.6322865","0.6236006","0.62088776","0.6187014","0.6149971","0.61401844","0.60899174","0.60761553","0.6032171","0.6029431","0.6020474","0.6004397","0.6004326","0.6000512","0.5996668","0.59770906","0.5951964","0.5948483","0.59238917","0.59060687","0.5897257","0.58848804","0.5883116","0.58790463","0.5878424","0.5868787","0.58459634","0.58250797","0.58160394","0.5814718","0.5803931","0.5796859","0.57918936","0.5789721","0.57788503","0.57667017","0.5764896","0.5756601","0.575513","0.57549214","0.57515997","0.5745132","0.5743399","0.5732911","0.57273877","0.57223034","0.5710648","0.5707113","0.5686347","0.56838316","0.56662387","0.5658618","0.5642026","0.5639156","0.56294966","0.56268334","0.5626777","0.5618833","0.56170136","0.5615655","0.560897","0.560738","0.56052005","0.56014645","0.55965096","0.55932087","0.5592447","0.55922276","0.5592206","0.55877864","0.558572","0.5573621","0.55735046","0.55704546","0.55653286","0.55628186","0.55625397","0.5558103","0.5556386","0.55523527","0.554992","0.5548158","0.55457646","0.5543955","0.5543076","0.55408406","0.5538801","0.5536439","0.55281854","0.55270916","0.5512232","0.55089664","0.5506719","0.55064565"],"string":"[\n \"0.66838837\",\n \"0.6653635\",\n \"0.66460526\",\n \"0.64870507\",\n \"0.6441454\",\n \"0.6337714\",\n \"0.6322865\",\n \"0.6236006\",\n \"0.62088776\",\n \"0.6187014\",\n \"0.6149971\",\n \"0.61401844\",\n \"0.60899174\",\n \"0.60761553\",\n \"0.6032171\",\n \"0.6029431\",\n \"0.6020474\",\n \"0.6004397\",\n \"0.6004326\",\n \"0.6000512\",\n \"0.5996668\",\n \"0.59770906\",\n \"0.5951964\",\n \"0.5948483\",\n \"0.59238917\",\n \"0.59060687\",\n \"0.5897257\",\n \"0.58848804\",\n \"0.5883116\",\n \"0.58790463\",\n \"0.5878424\",\n \"0.5868787\",\n \"0.58459634\",\n \"0.58250797\",\n \"0.58160394\",\n \"0.5814718\",\n \"0.5803931\",\n \"0.5796859\",\n \"0.57918936\",\n \"0.5789721\",\n \"0.57788503\",\n \"0.57667017\",\n \"0.5764896\",\n \"0.5756601\",\n \"0.575513\",\n \"0.57549214\",\n \"0.57515997\",\n \"0.5745132\",\n \"0.5743399\",\n \"0.5732911\",\n \"0.57273877\",\n \"0.57223034\",\n \"0.5710648\",\n \"0.5707113\",\n \"0.5686347\",\n \"0.56838316\",\n \"0.56662387\",\n \"0.5658618\",\n \"0.5642026\",\n \"0.5639156\",\n \"0.56294966\",\n \"0.56268334\",\n \"0.5626777\",\n \"0.5618833\",\n \"0.56170136\",\n \"0.5615655\",\n \"0.560897\",\n \"0.560738\",\n \"0.56052005\",\n \"0.56014645\",\n \"0.55965096\",\n \"0.55932087\",\n \"0.5592447\",\n \"0.55922276\",\n \"0.5592206\",\n \"0.55877864\",\n \"0.558572\",\n \"0.5573621\",\n \"0.55735046\",\n \"0.55704546\",\n \"0.55653286\",\n \"0.55628186\",\n \"0.55625397\",\n \"0.5558103\",\n \"0.5556386\",\n \"0.55523527\",\n \"0.554992\",\n \"0.5548158\",\n \"0.55457646\",\n \"0.5543955\",\n \"0.5543076\",\n \"0.55408406\",\n \"0.5538801\",\n \"0.5536439\",\n \"0.55281854\",\n \"0.55270916\",\n \"0.5512232\",\n \"0.55089664\",\n \"0.5506719\",\n \"0.55064565\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.64947647"},"document_rank":{"kind":"string","value":"3"}}},{"rowIdx":132595,"cells":{"query":{"kind":"string","value":"Simple check if query string is a substring of a block of text."},"document":{"kind":"string","value":"public boolean matches(String query, String text) {\n\t\treturn text.contains(query);\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["protected boolean isSubstring(String substring, String word) {\r\n//\t\tboolean isSub = true;\r\n\t\treturn word.contains(substring);\r\n//\t\treturn isSub;\r\n\t}","boolean isSubStr(String s, String t) {\n\t\tint k = 0;\n\t\tfor (int i = 0; i < s.length(); ++i) {\n\t\t\tboolean found = false;\n\t\t\tfor (; k < t.length(); ++k) if (found = (t.charAt(k) == s.charAt(i))) break;\n\t\t\tif (!found) return false;\n\t\t\t++k;\n\t\t}\n\t\treturn true;\n\t}","private boolean isSubSequence(String s, String word){\n int startPointer = 0;\n for(int i=0; i<word.length(); i++){\n int location = s.indexOf(word.charAt(i), startPointer);\n if(location < 0)\n return false;\n startPointer = location+1;\n }\n return true;\n }","@Test\n public void shouldFindSubstringAtTheEndOfTheStringAfterOneCharacterPartialMatch() {\n // Given\n String string = \"AABc\";\n CharSequence charSequence = new StringBuilder(\"ABc\");\n\n // When\n boolean containsCharSequence = string.contains(charSequence);\n\n // Then\n assertTrue(containsCharSequence);\n }","public static boolean substring(String first,String second)\r\n {\r\n return second.toLowerCase().contains(first.toLowerCase());\r\n }","public static boolean isSubString(String shortStr, String longStr) {\n if ((shortStr.length() > longStr.length()) || shortStr.isEmpty() || longStr.isEmpty()) {\n return false;\n }\n for (int i = 0; i < longStr.length() - shortStr.length() + 1; i++) {\n int j = 0;\n for (; j < shortStr.length(); j++) {\n if (shortStr.charAt(j) == longStr.charAt(i + j)) {\n continue;\n } else {\n break;\n }\n }\n if (j == shortStr.length()) {\n return true;\n }\n }\n return false;\n }","public static void main(String[] args) {\n Scanner scanner = new Scanner(System.in);\n System.out.print(\"Input string: \");\n String string = scanner.nextLine();\n System.out.print(\"Input substring: \");\n String substring = scanner.nextLine();\n\n if (string.contains(substring)){\n System.out.println(\"String contains the substring.\");\n }else {\n System.out.println(\"String no contains the substring.\");\n }\n }","public boolean contains(final byte[] string, final byte[] sub, final InputInfo info)\n throws QueryException {\n return indexOf(string(string), string(sub), false, false, info) != -1;\n }","private boolean containsSubString(String str, String subStr)\r\n {\r\n if (str == null)\r\n return false;\r\n\r\n return (str.indexOf(subStr) != -1);\r\n }","static int isSubstring(String s1, String s2) {\n int m = s1.length();\n int n = s2.length();\n\n // A loop to slide pat[] one by one\n for (int i = 0; i <= n - m; i++) {\n int j;\n\n // For current index i, check for pattern match\n for (j = 0; j < m; j++) {\n if (s2.charAt(i + j) != s1.charAt(j)) {\n break;\n }\n }\n\n if (j == m) {\n return i;\n }\n }\n return -1;\n }","public static boolean contains(final String string, final String sub) {\n final int tl = sub.length();\n if(tl == 0) return true;\n final int sl = string.length() - tl;\n for(int s = 0; s <= sl; s++) {\n int t = 0;\n while(equals(string.charAt(s + t), sub.charAt(t))) {\n if(++t == tl) return true;\n }\n }\n return false;\n }","boolean isPartOf(String genomeName);","public boolean hasText(String s) {\n int n = s.length();\n return right - left == n && content.regionMatches(left, s, 0, n);\n }","PersonFinder whereNameContains(String fragment);","public static boolean isSubsequence(String s, String t) {\n int pos = -1;\n for(int i=0; i<s.length(); i++){\n pos = t.indexOf(s.charAt(i), pos+1);\n if(pos == -1){\n return false;\n }\n }\n return true;\n }","public boolean startsWith(final byte[] string, final byte[] sub, final InputInfo info)\n throws QueryException {\n\n final RuleBasedCollator rbc = rbc(info);\n return startsWith(rbc.getCollationElementIterator(string(string)),\n rbc.getCollationElementIterator(string(sub)));\n }","public static boolean hasTextFragment(GURL url) {\n Uri uri = Uri.parse(url.getSpec());\n String fragment = uri.getEncodedFragment();\n return (fragment != null) && fragment.contains(TEXT_FRAGMENT_PREFIX);\n }","public static boolean startsWith(final String string, final String sub) {\n final int sl = string.length(), tl = sub.length();\n if(tl > sl) return false;\n for(int t = 0; t < tl; t++) {\n if(!equals(string.charAt(t), sub.charAt(t))) return false;\n }\n return true;\n }","@Test\n public void shouldNotFindSubstringWithMismatchedFirstCharacterAtTheEndOfThString() {\n // Given\n String string = \"123ABc\";\n CharSequence charSequence = new StringBuilder(\"cBc\");\n\n // When\n boolean containsCharSequence = string.contains(charSequence);\n\n // Then\n assertFalse(containsCharSequence);\n }","private static boolean isContained(String text, String pattern)\n {\n if (pattern.length() == 0)\n return true;\n else if (pattern.length() > text.length())\n return false;\n else if (isPrefix(text, pattern))\n return true;\n else\n return isContained(text.substring(1), pattern);\n }","public static boolean isSubsequence(String s, String t) {\n if (s.length() == 0)\n return true;\n else if (t.length() == 0)\n return false;\n\n int indexS = 0;\n int indexT = 0;\n\n // Step2 - Traverse String t\n while (indexT < t.length() && indexS < s.length()) {\n char currentT = t.charAt(indexT);\n char currentS = s.charAt(indexS);\n System.out.println(\"currentS:\" + currentS + \" currentT: \" + currentT );\n\n // Step3 - If match, increment indexS\n if (currentS == currentT) {\n ++indexS;\n }\n\n ++indexT;\n }\n\n return indexS == s.length(); // indexS HAS to the same length as String s for a match\n }","public static void substringtest(){\n }","static boolean isSubSequence(String keyword, String task, int keywordLength, int taskLength) {\n if (keywordLength == 0) {\n return true;\n }\n\n if (taskLength == 0) {\n return false;\n }\n\n // If last characters of two strings are matching\n if (keyword.charAt(keywordLength - 1) == task.charAt(taskLength - 1)) {\n return isSubSequence(keyword, task, keywordLength - 1, taskLength - 1);\n }\n\n // If last characters are not matching\n return isSubSequence(keyword, task, keywordLength, taskLength - 1);\n }","public static boolean substringMatch(CharSequence str, int index, CharSequence substring) {\n\t\tfor (int j = 0; j < substring.length(); j++) {\n\t\t\tint i = index + j;\n\t\t\tif (i >= str.length() || str.charAt(i) != substring.charAt(j)) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t}","static boolean isSubstringUsingIndexOf(String big, String small) {\n return big.contains(small);\n }","@Test\n \tpublic void whereClauseForNodeSpanString() {\n \t\tnode23.setSpannedText(\"string\", TextMatching.EXACT_EQUAL);\n \t\tcheckWhereCondition(join(\"=\", \"_node23.span\", \"'string'\"));\n \t}","protected boolean isSubString(BSTVertexOfBabyNames T,String subString)\r\n\t{\r\n\t\tString babyName=T.key;\r\n\t\tint stringLength=subString.length();\r\n\t\tboolean identical=false;\r\n\t\t\r\n\t\tfor(int i=0;i<babyName.length();i++)\r\n\t\t{\r\n\t\t\tif(i+stringLength>babyName.length())\r\n\t\t\t\treturn false;\r\n\t\t\tfor(int start=0;start<stringLength;start++)\r\n\t\t\t{\r\n\t\t\t\tif(babyName.charAt(i+start)==subString.charAt(start))\r\n\t\t\t\t\tidentical=true;\r\n\t\t\t\telse\r\n\t\t\t\t{\r\n\t\t\t\t\tidentical=false;\r\n\t\t\t\t\tbreak;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tif(identical)\treturn true;\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t}\r\n\t\t\r\n\t\treturn false;\r\n\t\t\r\n\t}","public static boolean stringInBounds (String plainText) {\r\n\t\t// Variables\r\n\t\tboolean isValid = true;\r\n\t\t\r\n\t\t// Loops\r\n\t\tfor (int i = 0; i < plainText.length(); i++) {\r\n\t\t\t// Variables\r\n\t\t\tchar c = plainText.charAt(i);\r\n\t\t\t\r\n\t\t\t// Checks\r\n\t\t\tif (c < LOWER_BOUND || c > UPPER_BOUND) {\r\n\t\t\t\tisValid = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\t// Return\r\n\t\treturn isValid;\r\n\t}","boolean hasIsPartOf();","public My_String substring(int start, int end);","public boolean endsWith(final byte[] string, final byte[] sub, final InputInfo info)\n throws QueryException {\n return indexOf(string(string), string(sub), false, true, info) != -1;\n }","public static boolean stringIntersect(String a, String b, int len) {\n\t\tHashSet<String> mySet = new HashSet<String>();\n\t\tfor (int i=0; i+len <= a.length(); i++){\n\t\t\tmySet.add(a.substring(i, i+len));\n\t\t}\n\t\tfor (int i=0; i+len <= b.length(); i++){\n\t\t\tif (mySet.contains(b.substring(i, i+len))){\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false; // TO DO ADD YOUR CODE HERE\n\t}","public static boolean stringInBounds(String plainText) {\r\n\t\tchar[] val = plainText.toCharArray();\r\n\t\tfor (int i = 0; i < val.length; i++) {\r\n\t\t\tif (!(val[i]==SPACE) &&!(val[i] >= LOWER_BOUND && val[i] <= UPPER_BOUND)) {\r\n\t\t\t\treturn false;\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn true;\r\n\t}","public static boolean stringInBounds (String plainText) {\r\n\t\t\r\n\t\tchar[] pText = plainText.toCharArray();\r\n\t\tboolean isCorrect;\r\n\t\tfor(int i = 0; i < plainText.length(); i++) {\r\n\t\t\tdo {\r\n\t\t\t\tif (plainText.charAt(i) < LOWER_BOUND || plainText.charAt(i) > UPPER_BOUND ) {\r\n\t\t\t\t\tisCorrect = false;\r\n\t\t\t\t\t\r\n\t\t\t\t\t/**\r\n\t\t\t\t\tif(plainText.charAt(i) < LOWER_BOUND) {\r\n\t\t\t\t\t\tchar nChar = (char) (plainText.charAt(i) - RANGE);\r\n\t\t\t\t\t}else {\r\n\t\t\t\t\t\tchar nChar = (char) (plainText.charAt(i) + RANGE);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t*/\r\n\t\t\t\t\t\r\n\t\t\t\t}else {\r\n\t\t\t\t\tisCorrect = true;\r\n\t\t\t\t}\r\n\t\t\t}while(isCorrect = false);\r\n\t\t\t\r\n\t\t}\r\n\t\treturn true;\r\n\t}","private boolean containedIn(String a, String b){\n if(a.length() > b.length())return false;\n int aInd = 0;\n int bInd = 0;\n\n while(bInd < b.length()){\n if(aInd >= a.length())return true;\n char bChar = b.charAt(bInd);\n char aChar = a.charAt(aInd);\n if(bChar == aChar){\n aInd++;\n }\n bInd++;\n }\n return false;\n }","boolean hasSearchLength();","public static boolean charsOccurIn(final String string, final String sub) {\n final int sl = string.length(), tl = sub.length();\n int t = 0;\n for(int s = 0; s < sl && t < tl; s++) {\n if(equals(string.charAt(s), sub.charAt(t))) t++;\n }\n return t == tl;\n }","public boolean mixStart(String str) {\n if (str.length() < 3) return false;\n return (str.substring(1,3).equals(\"ix\"));\n}","boolean hasString();","public boolean containsText(CharSequence s) {\n return content.toString().contains(s);\n }","boolean hasScStr();","Builder addIsPartOf(String value);","public static void main(String[] args) {\n\n\t\tString s=\"xxxxxabcxxxx\";\n\t\tint m=s.length()/2;\n\t\t\n\t\tif(s.substring(m-1, m+2).equals(\"abc\")) {\n\t\t\t\n\t\tSystem.out.println(\"middle\");\n\t\t}\n\t\telse{\n\t\t\tSystem.out.println(\"no inmid\");\n\t\t\n\n}\n}","protected boolean normalizeContains(String str, String substring) {\n\t\tif (str == null || substring == null) {\n\t\t\treturn false;\n\t\t}\n\t\tint index = normalizeAndLowercase(str).indexOf(normalizeAndLowercase(substring));\n\t\treturn index >= 0;\n\t}","public boolean startHi(String str) {\n if (str.length() < 2) return false;\n \n String front;\n if (str.length() == 2) {\n front = str;\n } else {\n front = str.substring(0, 2);\n }\n \n return (front.equals(\"hi\"));\n \n}","private boolean checkInCashe(String s) {\n return true;\n }","private boolean startsWithAFilteredPAttern(String string)\n {\n Iterator<String> iterator = filteredFrames.iterator();\n while (iterator.hasNext())\n {\n if (string.trim().startsWith(iterator.next()))\n {\n return true;\n }\n }\n return false;\n }","public static void main(String[] args)\r\n\t{\n\t\tSystem.out.print(\"enter string - \");\r\n\t\tScanner input = new Scanner(System.in);\r\n\t\tString whole = input.next();\r\n\t\tSystem.out.print(\"enter sub-string to be searched - \");\r\n\t\tString part = input.next();\r\n\t\tinput.close();\r\n\t\tImplementStrStr sample = new ImplementStrStr();\r\n\t\tString result = sample.findSubString(whole, part);\r\n\t\tif(result==null)\r\n\t\t{\r\n\t\t\tSystem.out.println(\"SubString not present\");\r\n\t\t}\r\n\t\telse\r\n\t\t{\r\n\t\t\tSystem.out.println(\"SubString is present - \"+result);\r\n\t\t}\r\n\t}","private boolean c(String str, StringBuilder stringBuilder) {\n if (TextUtils.isEmpty(str) || TextUtils.isEmpty(stringBuilder) || !str.contains(\",access\") || stringBuilder.indexOf(\",access\") == -1) {\n return false;\n }\n String[] split = str.split(\",access\");\n Object substring = !split[0].contains(\"#\") ? split[0] : split[0].substring(split[0].lastIndexOf(\"#\") + 1);\n return !TextUtils.isEmpty(substring) ? stringBuilder.toString().contains(substring + \",access\") : false;\n }","public static boolean stringIntersect(String a, String b, int len) {\n\t\tif(len == 0) return true;\n\t\tSet<String> first = new HashSet<String>();\n\t\tSet<String> second = new HashSet<String>();\n\t\tfor(int i = 0; i < a.length() - len + 1; i++){\n\t\t\tfirst.add(a.substring(i, i + len));\n\t\t}\n\t\tfor(int i = 0; i < b.length() - len + 1; i++){\n\t\t\tsecond.add(b.substring(i, i + len));\n\t\t}\n\t\tboolean intersects = !Collections.disjoint(first, second);\n\t\treturn intersects;\n\t}","public SearchResult search(String text, String subText);","@SuppressWarnings(\"squid:S1067\")\n Predicate<GenomePath> getSubstringPredicate(final String query, final boolean matchCase) {\n return genomePath -> query == null\n || query.length() == 0\n || genomePath.getName().toLowerCase(Locale.US).contains(query.toLowerCase(Locale.US)) && !matchCase\n || genomePath.getName().contains(query);\n }","private static boolean containsWildcard(final Object[] segments, final int startIndex, final int length) {\r\n\t\tfor (int index = startIndex; index < startIndex + length; index++) {\r\n\t\t\tfinal Object segment = segments[index];\r\n\t\t\tif (isWildcard(segment)) {\r\n\t\t\t\treturn true;\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn false;\r\n\t}","private static boolean startsWith(final String source, final String prefix) {\n return prefix.length() <= source.length() && source.regionMatches(true, 0, prefix, 0, prefix.length());\n }","public boolean containsLiteralString(String literalData);","public static boolean filterMatch(String filter, String s) {\n return patSubstr(s.toCharArray(), 0, filter.toCharArray(), 0);\n }","private boolean matchString(String s, String key)\n {\n if (s.equals(key)) return true;\n int min = s.length()<key.length()?s.length():key.length();\n for (int i=0;i<min; ++i)\n {\n \n if(key.charAt(i) == '*')\n return true;\n if(s.charAt(i) != key.charAt(i) && key.charAt(i) != '?')\n return false;\n }\n for (int i=s.length();i<key.length();i++)\n {\n if (key.charAt(i)!='*') \n return false;\n }\n return true;\n }","boolean matches(final HTTPContext http) {\n // check if number of segments match\n if(segments.length != http.depth()) return false;\n\n // check single segments\n for(int s = 0; s < segments.length; s++) {\n final String seg = segments[s];\n if(!seg.equals(http.segment(s)) && !seg.startsWith(\"{\")) return false;\n }\n return true;\n }","public static void main(String[] args) {\n String s = \"abc\";\n String t = \"ahbgdc\";\n boolean res = isSubsequence(s,t);\n System.out.println(res);\n }","private boolean STRING(String s) {\r\n int n = input.match(s, in);\r\n in += n;\r\n return (n > 0);\r\n }","public static boolean endsWith (TextFragment textFragment,\r\n \t\tString substr)\r\n \t{\r\n \t\tif (textFragment == null)\r\n \t\t\treturn false;\r\n \t\tif (Util.isEmpty(substr))\r\n \t\t\treturn false;\r\n \r\n \t\tString st = textFragment.getCodedText();\r\n \r\n \t\tint pos = TextFragment.indexOfLastNonWhitespace(st, -1, 0, true, true, true, true);\r\n \t\tif (pos == -1)\r\n \t\t\treturn false;\r\n \r\n \t\treturn st.lastIndexOf(substr) == pos - substr.length() + 1;\r\n \t}","public static String parseSubstring(String line, String start, String end){\n \n if (line == null || start == null || end == null)\n return null;\n \n int s = line.indexOf(start) + start.length();\n int e = line.indexOf(end, s);\n \n if (s >= e)\n return null;\n \n return line.substring(s, e);\n }","public static void main (String[] args)\n {\n String test = \"software\";\n \n CharSequence seq = \"soft\";\n boolean bool = test.contains(seq);\n System.out.println(\"Found soft?: \" + bool);\n \n // it returns true substring if found.\n boolean seqFound = test.contains(\"war\");\n System.out.println(\"Found war? \" + seqFound);\n \n // it returns true substring if found otherwise\n // return false.\n boolean sqFound = test.contains(\"wr\");\n System.out.println(\"Found wr?: \" + sqFound);\n }","private static boolean isURIString(String p_uric) {\n if (p_uric == null) {\n return false;\n }\n int end = p_uric.length();\n char testChar = '\\0';\n for (int i = 0; i < end; i++) {\n testChar = p_uric.charAt(i);\n if (testChar == '%') {\n if (i+2 >= end ||\n !isHex(p_uric.charAt(i+1)) ||\n !isHex(p_uric.charAt(i+2))) {\n return false;\n }\n else {\n i += 2;\n continue;\n }\n }\n if (isURICharacter(testChar)) {\n continue;\n }\n else {\n return false;\n }\n }\n return true;\n }","public static String substring (String str, int beginning, int end) {\n int i = 0;\n while (i < str.length()){\n if (beginning >= str.length() || end >= str.length()) return \"\";\n if (beginning < 0 || end < 0) return \"\";\n\n }\n return \"\";\n\n\n }","public void containsString() {\n\t\t\tString name = \"martin\";\n\t\t\tboolean contains = name.contains(\"rti\");\n\t\t\tif(contains) {\n\t\t\t\tSystem.out.println(\"it contains\");\n\t\t\t}\n\t\t}","private static boolean isStartTag(String line) {\n final char c = line.charAt(line.length() - 2);\n return brackets(line) && line.charAt(1) != '/' && (c != '/' && c != '?');\n }","private Boolean nonEmptyQuery(String query){\n\t\tBoolean isCorrect = false;\n\t\tString [] queryElements = query.split(\"--\");\n\t\tif(queryElements.length==2 && !queryElements[0].isEmpty() && !queryElements[1].isEmpty())\n\t\t\tisCorrect = true;\n\t\treturn isCorrect;\n\t}","private static boolean isPalindromeSubstring(String inString, int lowerBound, int upperBound)\n {\n char lowerChar = inString.charAt(lowerBound);\n char upperChar = inString.charAt(upperBound);\n\n if (lowerBound == upperBound)\n {\n return true;\n }\n else if (lowerBound > upperBound)\n {\n return false;\n }\n else if (lowerChar != upperChar)\n {\n return false;\n }\n else\n {\n isPalindromeSubstring(inString, ++lowerBound, --upperBound);\n }\n\n return true;\n }","String substringRunes(int start, int end) {\n\t\t\tstart -= this.offset;\n\t\t\tend -= this.offset;\n\t\t\tint runes = snippet.codePointCount(0, snippet.length());\n\t\t\tif (start < 0) {\n\t\t\t\tstart = 0;\n\t\t\t}\n\t\t\tif (end < 0) {\n\t\t\t\tend = 0;\n\t\t\t}\n\t\t\tif (start > runes) {\n\t\t\t\tstart = runes;\n\t\t\t}\n\t\t\tif (end > runes) {\n\t\t\t\tend = runes;\n\t\t\t}\n\t\t\treturn snippet.substring(\n\t\t\t\tsnippet.offsetByCodePoints(0, start),\n\t\t\t\tsnippet.offsetByCodePoints(0, end)\n\t\t\t);\n\t\t}","private boolean isIn(String s1, String s2) {\n\t for(int i = 0; i <= s2.length() - s1.length(); i++) {\n\t \n\t if(s2.substring(i, i+s1.length()).equals(s1) ) {\n\t // System.out.println(\"+ \" + s2.substring(i, i+s1.length()) + \" \" + s1);\n\t return true;\n\t }\n\t }\n\t return false;\n\t}","public boolean containsWord(String keyword){\n /* to be implemented in part(b) */\n if(description.indexOf(\" \"+ keyword+ \" \")!==-1){\n return true; \n }\n else if(description.indexOf(\" \"+keyword)=0){\n return true \n }\n else return false;\n }","@Test\n\tpublic void isValidQueryTest() {\n\t\tString query1 = \"< nice & cool \";\n\t\tString query2 = \"( hello & !!cool )\";\n\t\tString query3 = \"( hello | !cool )\";\n\t\t\n\t\texception.expect(IllegalArgumentException.class);\n\t\tqueryTest.isValidQuery(query1);\n\t\tqueryTest.isValidQuery(query2);\n\n\t\texception = ExpectedException.none();\n\t\tqueryTest.isValidQuery(query3);\n\n\t\t// test num of brackets\n\t\tquery1 = \"( nice & cool )\";\n\t\tquery2 = \"( ( nice & cool )\";\n\t\tquery3 = \"( hello & my | ( name | is ) | bar & ( hi )\";\n\t\t\n\t\tqueryTest.isValidQuery(query1);\n\t\texception.expect(IllegalArgumentException.class);\n\t\tqueryTest.isValidQuery(query2);\n\t\tqueryTest.isValidQuery(query3);\n\t\t\n\t\t// test phrases (+ used to indicate phrase)\n\t\tquery1 = \"hello+hi+my\";\n\t\tquery2 = \"hello+contains+my\";\n\t\tquery3 = \"( my+name & hello | ( oh my ))\";\n\t\t\n\t\texception = ExpectedException.none();\n\t\tqueryTest.isValidQuery(query1);\n\t\tqueryTest.isValidQuery(query2);\n\t\tqueryTest.isValidQuery(queryTest.fixSpacing(query3));\n\t}","boolean hasIsEndOfSentence();","private boolean isSubSequence(char str1[], char str2[]) {\n int j = 0;\n int m = str1.length;\n int n = str2.length;\n for (int i=0; i<n&&j<m; i++)\n if (str1[j] == str2[i])\n j++;\n return (j==m);\n }","public boolean verifyPartialText(WebElement ele, String expectedText) {\n\t\ttry {\r\n\t\t\tif(ele.getText().contains(expectedText)) {\r\n\t\t\t\treportSteps(\"Expected text contains the actualText \"+expectedText,\"pass\");\r\n\t\t\t\treturn true;\r\n\t\t\t}else {\r\n\t\t\t\treportSteps(\"Expected text doesn't contain the actualText \"+expectedText,\"fail\");\r\n\t\t\t}\r\n\t\t} catch (WebDriverException e) {\r\n\t\t\tSystem.out.println(\"Unknown exception occured while verifying the Text\");\r\n\t\t} \r\n\t\treturn false;\r\n\t}","boolean hasMid();","boolean hasMid();","public boolean contains(String str);","public boolean isSubSequence(String x, String y){\n\t\tint j = 0;\n\t\tfor(int i = 0 ; i < x.length() && j< y.length(); i++){\n\t\t\tif(x.charAt(j) == y.charAt(i)){\n\t\t\t\tj++;\n\t\t\t}\n\t\t}\n\t\treturn j == x.length();\n\t}","@Test\n @ExcludeIn({ DB2, DERBY, FIREBIRD })\n public void substring() {\n query().from(Constants.employee).where(Constants.employee.firstname.substring((-3), 1).eq(Constants.employee.firstname.substring((-2), 1))).select(Constants.employee.id).fetch();\n }","public boolean search(String s, String p) {\n int i,j,start=0;\n for(i=0,j=0;i<s.length()&&j<p.length();i++) {\n if(p.charAt(j)=='*') {\n start = ++j;\n i--;\n } else if(match(p.charAt(j),s.charAt(i))) {\n j++;\n } else {\n i-=j-start;\n j=start;\n }\n }\n while(j<p.length() && p.charAt(j)=='*') {\n j++;\n }\n return j>=p.length();\n }","public boolean isMatch(String s, String p) {\n if(s == null || p == null){\n return false;\n }\n int pPoint = 0;\n int sPoint = 0;\n int starPoint =-1;\n int sMatch = 0;\n while(sPoint < s.length()){\n // there is no star, then we should match char by char\n if(pPoint < p.length() && (p.charAt(pPoint) == '?' || s.charAt(sPoint) == p.charAt(pPoint))){\n pPoint ++;\n sPoint ++;\n }else if( pPoint < p.length() && p.charAt(pPoint) == '*'){\n //if there is start, we mark the start position and pos in s\n // compare pPoint +1 and sPoint;\n starPoint = pPoint;\n sMatch = sPoint;\n pPoint++;\n }else if(starPoint != -1){\n // if there is a start already and there is mismatch between pPoint and sPoint\n // we use the * to match the sPoint\n // bring back the point to startPoint+1 for pPoint \n // sMatch ++\n pPoint = starPoint+1;\n sPoint = sMatch+1;\n sMatch ++;\n }else{\n return false;\n }\n }\n while(pPoint < p.length()){\n if(p.charAt(pPoint) != '*'){\n return false;\n }\n pPoint++;\n }\n return true;\n }","public static boolean isValidinput(String query){\r\n\t\tPattern regex = Pattern.compile(\"[$&+,:;=@#|]\");\r\n\t\tMatcher matcher = regex.matcher(query);\r\n\t\tif (matcher.find()){\r\n\t\t\treturn false;\r\n\t\t}\r\n\t\telse{\r\n\t\t\treturn true;\r\n\t\t}\r\n\r\n\t}","public boolean containsString(String string) {\n return this.region.contains(string) ||\n this.description.contains(string);\n }","@Override\n protected boolean isValidDataBlock(String dataBlock) {\n if (dataBlock== null){return false;}\n String[] msg = dataBlock.split(\"=\");\n if(msg.length == 2 && msg[0].equals(\"country\")){return true;}\n else {return false;}\n }","protected boolean isChunkAtWordBoundary(TextChunk chunk, TextChunk previousChunk) {\r\n\t\treturn chunk.getLocation().isAtWordBoundary(previousChunk.getLocation());\r\n\t}","boolean contains(String pattern) {\n String str = buffer.toString();\n return str.contains(pattern);\n }","public boolean containsLiteral();","String extractSlice(String s, int where, String start, String end) {\n int startInd;\n int endInd;\n\n if (start == null) {\n startInd = where;\n } else {\n int i = s.indexOf(start, where);\n if (i < 0) {\n return null;\n }\n startInd = i + start.length();\n }\n\n if (end == null) {\n endInd = s.length();\n } else {\n endInd = s.indexOf(end, startInd);\n if (endInd == -1) {\n return null;\n }\n }\n\n try {\n return s.substring(startInd, endInd);\n } catch (StringIndexOutOfBoundsException e) {\n return null;\n }\n }","void fragment(String fragment);","void fragment(String fragment);","public static boolean Q3(String test) {\n\t\tSystem.out.println(Pattern.matches(\".*[abc]{2,3}.*\",test));\n\t\treturn Pattern.matches(\".*[abc]{2,3}.*\",test);\n\t}","@Override\n public boolean validateNotEmptyPartial (String partial)\n {\n return partial.replaceAll(\"[^/]\", \"\").length() < 3 && partial.replaceAll(\"[^0-9]\", \"\").length() < 9 &&\n partial.replaceAll(\"[0-9/]\", \"\").length() == 0;\n }","boolean hasHadithText();","private boolean isAdvancedQuery(String enteredQuery){\n try{\n Character firstChar = enteredQuery.charAt(0);\n Character secondChar = enteredQuery.charAt(1);\n\n return isSignOperator(firstChar.toString()) && secondChar.equals(' ');\n }catch (StringIndexOutOfBoundsException ex){\n return false;\n }\n }","public boolean hasString() {\n/* 800 */ return true;\n/* */ }","public static int wordsEndsWithSubstring(String s, String substring) {\n\t\tint numb = 0;\n\t\tfor (int i = 0; i < s.length(); i++) {\n\t\t\ttry {\n\t\t\tif(s.substring(i,i+substring.length()).equals(substring) && s.substring(i+substring.length(), i+substring.length()+1).equals(\" \")) {\n\t\t\t\tnumb++;\n\t\t\t}\n\t\t\t}catch(Exception e) {}\n\t\t}\n\t\t\n\t\treturn numb;\n\t}","public final int partialIsValidUtf8(int state, ByteBuffer buffer, int index, int limit) {\n if (buffer.hasArray()) {\n int offset = buffer.arrayOffset();\n return partialIsValidUtf8(state, buffer.array(), offset + index, offset + limit);\n } else if (buffer.isDirect()) {\n return partialIsValidUtf8Direct(state, buffer, index, limit);\n } else {\n return partialIsValidUtf8Default(state, buffer, index, limit);\n }\n }","private boolean isContain(String fullText, String searchString) {\n String pattern = \"\\\\b\" + searchString + \"\\\\b\";\n Pattern p = Pattern.compile(pattern, Pattern.CASE_INSENSITIVE); //make the keyword case insensitive\n Matcher m = p.matcher(fullText);\n return m.find();\n }"],"string":"[\n \"protected boolean isSubstring(String substring, String word) {\\r\\n//\\t\\tboolean isSub = true;\\r\\n\\t\\treturn word.contains(substring);\\r\\n//\\t\\treturn isSub;\\r\\n\\t}\",\n \"boolean isSubStr(String s, String t) {\\n\\t\\tint k = 0;\\n\\t\\tfor (int i = 0; i < s.length(); ++i) {\\n\\t\\t\\tboolean found = false;\\n\\t\\t\\tfor (; k < t.length(); ++k) if (found = (t.charAt(k) == s.charAt(i))) break;\\n\\t\\t\\tif (!found) return false;\\n\\t\\t\\t++k;\\n\\t\\t}\\n\\t\\treturn true;\\n\\t}\",\n \"private boolean isSubSequence(String s, String word){\\n int startPointer = 0;\\n for(int i=0; i<word.length(); i++){\\n int location = s.indexOf(word.charAt(i), startPointer);\\n if(location < 0)\\n return false;\\n startPointer = location+1;\\n }\\n return true;\\n }\",\n \"@Test\\n public void shouldFindSubstringAtTheEndOfTheStringAfterOneCharacterPartialMatch() {\\n // Given\\n String string = \\\"AABc\\\";\\n CharSequence charSequence = new StringBuilder(\\\"ABc\\\");\\n\\n // When\\n boolean containsCharSequence = string.contains(charSequence);\\n\\n // Then\\n assertTrue(containsCharSequence);\\n }\",\n \"public static boolean substring(String first,String second)\\r\\n {\\r\\n return second.toLowerCase().contains(first.toLowerCase());\\r\\n }\",\n \"public static boolean isSubString(String shortStr, String longStr) {\\n if ((shortStr.length() > longStr.length()) || shortStr.isEmpty() || longStr.isEmpty()) {\\n return false;\\n }\\n for (int i = 0; i < longStr.length() - shortStr.length() + 1; i++) {\\n int j = 0;\\n for (; j < shortStr.length(); j++) {\\n if (shortStr.charAt(j) == longStr.charAt(i + j)) {\\n continue;\\n } else {\\n break;\\n }\\n }\\n if (j == shortStr.length()) {\\n return true;\\n }\\n }\\n return false;\\n }\",\n \"public static void main(String[] args) {\\n Scanner scanner = new Scanner(System.in);\\n System.out.print(\\\"Input string: \\\");\\n String string = scanner.nextLine();\\n System.out.print(\\\"Input substring: \\\");\\n String substring = scanner.nextLine();\\n\\n if (string.contains(substring)){\\n System.out.println(\\\"String contains the substring.\\\");\\n }else {\\n System.out.println(\\\"String no contains the substring.\\\");\\n }\\n }\",\n \"public boolean contains(final byte[] string, final byte[] sub, final InputInfo info)\\n throws QueryException {\\n return indexOf(string(string), string(sub), false, false, info) != -1;\\n }\",\n \"private boolean containsSubString(String str, String subStr)\\r\\n {\\r\\n if (str == null)\\r\\n return false;\\r\\n\\r\\n return (str.indexOf(subStr) != -1);\\r\\n }\",\n \"static int isSubstring(String s1, String s2) {\\n int m = s1.length();\\n int n = s2.length();\\n\\n // A loop to slide pat[] one by one\\n for (int i = 0; i <= n - m; i++) {\\n int j;\\n\\n // For current index i, check for pattern match\\n for (j = 0; j < m; j++) {\\n if (s2.charAt(i + j) != s1.charAt(j)) {\\n break;\\n }\\n }\\n\\n if (j == m) {\\n return i;\\n }\\n }\\n return -1;\\n }\",\n \"public static boolean contains(final String string, final String sub) {\\n final int tl = sub.length();\\n if(tl == 0) return true;\\n final int sl = string.length() - tl;\\n for(int s = 0; s <= sl; s++) {\\n int t = 0;\\n while(equals(string.charAt(s + t), sub.charAt(t))) {\\n if(++t == tl) return true;\\n }\\n }\\n return false;\\n }\",\n \"boolean isPartOf(String genomeName);\",\n \"public boolean hasText(String s) {\\n int n = s.length();\\n return right - left == n && content.regionMatches(left, s, 0, n);\\n }\",\n \"PersonFinder whereNameContains(String fragment);\",\n \"public static boolean isSubsequence(String s, String t) {\\n int pos = -1;\\n for(int i=0; i<s.length(); i++){\\n pos = t.indexOf(s.charAt(i), pos+1);\\n if(pos == -1){\\n return false;\\n }\\n }\\n return true;\\n }\",\n \"public boolean startsWith(final byte[] string, final byte[] sub, final InputInfo info)\\n throws QueryException {\\n\\n final RuleBasedCollator rbc = rbc(info);\\n return startsWith(rbc.getCollationElementIterator(string(string)),\\n rbc.getCollationElementIterator(string(sub)));\\n }\",\n \"public static boolean hasTextFragment(GURL url) {\\n Uri uri = Uri.parse(url.getSpec());\\n String fragment = uri.getEncodedFragment();\\n return (fragment != null) && fragment.contains(TEXT_FRAGMENT_PREFIX);\\n }\",\n \"public static boolean startsWith(final String string, final String sub) {\\n final int sl = string.length(), tl = sub.length();\\n if(tl > sl) return false;\\n for(int t = 0; t < tl; t++) {\\n if(!equals(string.charAt(t), sub.charAt(t))) return false;\\n }\\n return true;\\n }\",\n \"@Test\\n public void shouldNotFindSubstringWithMismatchedFirstCharacterAtTheEndOfThString() {\\n // Given\\n String string = \\\"123ABc\\\";\\n CharSequence charSequence = new StringBuilder(\\\"cBc\\\");\\n\\n // When\\n boolean containsCharSequence = string.contains(charSequence);\\n\\n // Then\\n assertFalse(containsCharSequence);\\n }\",\n \"private static boolean isContained(String text, String pattern)\\n {\\n if (pattern.length() == 0)\\n return true;\\n else if (pattern.length() > text.length())\\n return false;\\n else if (isPrefix(text, pattern))\\n return true;\\n else\\n return isContained(text.substring(1), pattern);\\n }\",\n \"public static boolean isSubsequence(String s, String t) {\\n if (s.length() == 0)\\n return true;\\n else if (t.length() == 0)\\n return false;\\n\\n int indexS = 0;\\n int indexT = 0;\\n\\n // Step2 - Traverse String t\\n while (indexT < t.length() && indexS < s.length()) {\\n char currentT = t.charAt(indexT);\\n char currentS = s.charAt(indexS);\\n System.out.println(\\\"currentS:\\\" + currentS + \\\" currentT: \\\" + currentT );\\n\\n // Step3 - If match, increment indexS\\n if (currentS == currentT) {\\n ++indexS;\\n }\\n\\n ++indexT;\\n }\\n\\n return indexS == s.length(); // indexS HAS to the same length as String s for a match\\n }\",\n \"public static void substringtest(){\\n }\",\n \"static boolean isSubSequence(String keyword, String task, int keywordLength, int taskLength) {\\n if (keywordLength == 0) {\\n return true;\\n }\\n\\n if (taskLength == 0) {\\n return false;\\n }\\n\\n // If last characters of two strings are matching\\n if (keyword.charAt(keywordLength - 1) == task.charAt(taskLength - 1)) {\\n return isSubSequence(keyword, task, keywordLength - 1, taskLength - 1);\\n }\\n\\n // If last characters are not matching\\n return isSubSequence(keyword, task, keywordLength, taskLength - 1);\\n }\",\n \"public static boolean substringMatch(CharSequence str, int index, CharSequence substring) {\\n\\t\\tfor (int j = 0; j < substring.length(); j++) {\\n\\t\\t\\tint i = index + j;\\n\\t\\t\\tif (i >= str.length() || str.charAt(i) != substring.charAt(j)) {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn true;\\n\\t}\",\n \"static boolean isSubstringUsingIndexOf(String big, String small) {\\n return big.contains(small);\\n }\",\n \"@Test\\n \\tpublic void whereClauseForNodeSpanString() {\\n \\t\\tnode23.setSpannedText(\\\"string\\\", TextMatching.EXACT_EQUAL);\\n \\t\\tcheckWhereCondition(join(\\\"=\\\", \\\"_node23.span\\\", \\\"'string'\\\"));\\n \\t}\",\n \"protected boolean isSubString(BSTVertexOfBabyNames T,String subString)\\r\\n\\t{\\r\\n\\t\\tString babyName=T.key;\\r\\n\\t\\tint stringLength=subString.length();\\r\\n\\t\\tboolean identical=false;\\r\\n\\t\\t\\r\\n\\t\\tfor(int i=0;i<babyName.length();i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tif(i+stringLength>babyName.length())\\r\\n\\t\\t\\t\\treturn false;\\r\\n\\t\\t\\tfor(int start=0;start<stringLength;start++)\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\tif(babyName.charAt(i+start)==subString.charAt(start))\\r\\n\\t\\t\\t\\t\\tidentical=true;\\r\\n\\t\\t\\t\\telse\\r\\n\\t\\t\\t\\t{\\r\\n\\t\\t\\t\\t\\tidentical=false;\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tif(identical)\\treturn true;\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\treturn false;\\r\\n\\t\\t\\r\\n\\t}\",\n \"public static boolean stringInBounds (String plainText) {\\r\\n\\t\\t// Variables\\r\\n\\t\\tboolean isValid = true;\\r\\n\\t\\t\\r\\n\\t\\t// Loops\\r\\n\\t\\tfor (int i = 0; i < plainText.length(); i++) {\\r\\n\\t\\t\\t// Variables\\r\\n\\t\\t\\tchar c = plainText.charAt(i);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t// Checks\\r\\n\\t\\t\\tif (c < LOWER_BOUND || c > UPPER_BOUND) {\\r\\n\\t\\t\\t\\tisValid = false;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t// Return\\r\\n\\t\\treturn isValid;\\r\\n\\t}\",\n \"boolean hasIsPartOf();\",\n \"public My_String substring(int start, int end);\",\n \"public boolean endsWith(final byte[] string, final byte[] sub, final InputInfo info)\\n throws QueryException {\\n return indexOf(string(string), string(sub), false, true, info) != -1;\\n }\",\n \"public static boolean stringIntersect(String a, String b, int len) {\\n\\t\\tHashSet<String> mySet = new HashSet<String>();\\n\\t\\tfor (int i=0; i+len <= a.length(); i++){\\n\\t\\t\\tmySet.add(a.substring(i, i+len));\\n\\t\\t}\\n\\t\\tfor (int i=0; i+len <= b.length(); i++){\\n\\t\\t\\tif (mySet.contains(b.substring(i, i+len))){\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn false; // TO DO ADD YOUR CODE HERE\\n\\t}\",\n \"public static boolean stringInBounds(String plainText) {\\r\\n\\t\\tchar[] val = plainText.toCharArray();\\r\\n\\t\\tfor (int i = 0; i < val.length; i++) {\\r\\n\\t\\t\\tif (!(val[i]==SPACE) &&!(val[i] >= LOWER_BOUND && val[i] <= UPPER_BOUND)) {\\r\\n\\t\\t\\t\\treturn false;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"public static boolean stringInBounds (String plainText) {\\r\\n\\t\\t\\r\\n\\t\\tchar[] pText = plainText.toCharArray();\\r\\n\\t\\tboolean isCorrect;\\r\\n\\t\\tfor(int i = 0; i < plainText.length(); i++) {\\r\\n\\t\\t\\tdo {\\r\\n\\t\\t\\t\\tif (plainText.charAt(i) < LOWER_BOUND || plainText.charAt(i) > UPPER_BOUND ) {\\r\\n\\t\\t\\t\\t\\tisCorrect = false;\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t/**\\r\\n\\t\\t\\t\\t\\tif(plainText.charAt(i) < LOWER_BOUND) {\\r\\n\\t\\t\\t\\t\\t\\tchar nChar = (char) (plainText.charAt(i) - RANGE);\\r\\n\\t\\t\\t\\t\\t}else {\\r\\n\\t\\t\\t\\t\\t\\tchar nChar = (char) (plainText.charAt(i) + RANGE);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t*/\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else {\\r\\n\\t\\t\\t\\t\\tisCorrect = true;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}while(isCorrect = false);\\r\\n\\t\\t\\t\\r\\n\\t\\t}\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"private boolean containedIn(String a, String b){\\n if(a.length() > b.length())return false;\\n int aInd = 0;\\n int bInd = 0;\\n\\n while(bInd < b.length()){\\n if(aInd >= a.length())return true;\\n char bChar = b.charAt(bInd);\\n char aChar = a.charAt(aInd);\\n if(bChar == aChar){\\n aInd++;\\n }\\n bInd++;\\n }\\n return false;\\n }\",\n \"boolean hasSearchLength();\",\n \"public static boolean charsOccurIn(final String string, final String sub) {\\n final int sl = string.length(), tl = sub.length();\\n int t = 0;\\n for(int s = 0; s < sl && t < tl; s++) {\\n if(equals(string.charAt(s), sub.charAt(t))) t++;\\n }\\n return t == tl;\\n }\",\n \"public boolean mixStart(String str) {\\n if (str.length() < 3) return false;\\n return (str.substring(1,3).equals(\\\"ix\\\"));\\n}\",\n \"boolean hasString();\",\n \"public boolean containsText(CharSequence s) {\\n return content.toString().contains(s);\\n }\",\n \"boolean hasScStr();\",\n \"Builder addIsPartOf(String value);\",\n \"public static void main(String[] args) {\\n\\n\\t\\tString s=\\\"xxxxxabcxxxx\\\";\\n\\t\\tint m=s.length()/2;\\n\\t\\t\\n\\t\\tif(s.substring(m-1, m+2).equals(\\\"abc\\\")) {\\n\\t\\t\\t\\n\\t\\tSystem.out.println(\\\"middle\\\");\\n\\t\\t}\\n\\t\\telse{\\n\\t\\t\\tSystem.out.println(\\\"no inmid\\\");\\n\\t\\t\\n\\n}\\n}\",\n \"protected boolean normalizeContains(String str, String substring) {\\n\\t\\tif (str == null || substring == null) {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\tint index = normalizeAndLowercase(str).indexOf(normalizeAndLowercase(substring));\\n\\t\\treturn index >= 0;\\n\\t}\",\n \"public boolean startHi(String str) {\\n if (str.length() < 2) return false;\\n \\n String front;\\n if (str.length() == 2) {\\n front = str;\\n } else {\\n front = str.substring(0, 2);\\n }\\n \\n return (front.equals(\\\"hi\\\"));\\n \\n}\",\n \"private boolean checkInCashe(String s) {\\n return true;\\n }\",\n \"private boolean startsWithAFilteredPAttern(String string)\\n {\\n Iterator<String> iterator = filteredFrames.iterator();\\n while (iterator.hasNext())\\n {\\n if (string.trim().startsWith(iterator.next()))\\n {\\n return true;\\n }\\n }\\n return false;\\n }\",\n \"public static void main(String[] args)\\r\\n\\t{\\n\\t\\tSystem.out.print(\\\"enter string - \\\");\\r\\n\\t\\tScanner input = new Scanner(System.in);\\r\\n\\t\\tString whole = input.next();\\r\\n\\t\\tSystem.out.print(\\\"enter sub-string to be searched - \\\");\\r\\n\\t\\tString part = input.next();\\r\\n\\t\\tinput.close();\\r\\n\\t\\tImplementStrStr sample = new ImplementStrStr();\\r\\n\\t\\tString result = sample.findSubString(whole, part);\\r\\n\\t\\tif(result==null)\\r\\n\\t\\t{\\r\\n\\t\\t\\tSystem.out.println(\\\"SubString not present\\\");\\r\\n\\t\\t}\\r\\n\\t\\telse\\r\\n\\t\\t{\\r\\n\\t\\t\\tSystem.out.println(\\\"SubString is present - \\\"+result);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"private boolean c(String str, StringBuilder stringBuilder) {\\n if (TextUtils.isEmpty(str) || TextUtils.isEmpty(stringBuilder) || !str.contains(\\\",access\\\") || stringBuilder.indexOf(\\\",access\\\") == -1) {\\n return false;\\n }\\n String[] split = str.split(\\\",access\\\");\\n Object substring = !split[0].contains(\\\"#\\\") ? split[0] : split[0].substring(split[0].lastIndexOf(\\\"#\\\") + 1);\\n return !TextUtils.isEmpty(substring) ? stringBuilder.toString().contains(substring + \\\",access\\\") : false;\\n }\",\n \"public static boolean stringIntersect(String a, String b, int len) {\\n\\t\\tif(len == 0) return true;\\n\\t\\tSet<String> first = new HashSet<String>();\\n\\t\\tSet<String> second = new HashSet<String>();\\n\\t\\tfor(int i = 0; i < a.length() - len + 1; i++){\\n\\t\\t\\tfirst.add(a.substring(i, i + len));\\n\\t\\t}\\n\\t\\tfor(int i = 0; i < b.length() - len + 1; i++){\\n\\t\\t\\tsecond.add(b.substring(i, i + len));\\n\\t\\t}\\n\\t\\tboolean intersects = !Collections.disjoint(first, second);\\n\\t\\treturn intersects;\\n\\t}\",\n \"public SearchResult search(String text, String subText);\",\n \"@SuppressWarnings(\\\"squid:S1067\\\")\\n Predicate<GenomePath> getSubstringPredicate(final String query, final boolean matchCase) {\\n return genomePath -> query == null\\n || query.length() == 0\\n || genomePath.getName().toLowerCase(Locale.US).contains(query.toLowerCase(Locale.US)) && !matchCase\\n || genomePath.getName().contains(query);\\n }\",\n \"private static boolean containsWildcard(final Object[] segments, final int startIndex, final int length) {\\r\\n\\t\\tfor (int index = startIndex; index < startIndex + length; index++) {\\r\\n\\t\\t\\tfinal Object segment = segments[index];\\r\\n\\t\\t\\tif (isWildcard(segment)) {\\r\\n\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"private static boolean startsWith(final String source, final String prefix) {\\n return prefix.length() <= source.length() && source.regionMatches(true, 0, prefix, 0, prefix.length());\\n }\",\n \"public boolean containsLiteralString(String literalData);\",\n \"public static boolean filterMatch(String filter, String s) {\\n return patSubstr(s.toCharArray(), 0, filter.toCharArray(), 0);\\n }\",\n \"private boolean matchString(String s, String key)\\n {\\n if (s.equals(key)) return true;\\n int min = s.length()<key.length()?s.length():key.length();\\n for (int i=0;i<min; ++i)\\n {\\n \\n if(key.charAt(i) == '*')\\n return true;\\n if(s.charAt(i) != key.charAt(i) && key.charAt(i) != '?')\\n return false;\\n }\\n for (int i=s.length();i<key.length();i++)\\n {\\n if (key.charAt(i)!='*') \\n return false;\\n }\\n return true;\\n }\",\n \"boolean matches(final HTTPContext http) {\\n // check if number of segments match\\n if(segments.length != http.depth()) return false;\\n\\n // check single segments\\n for(int s = 0; s < segments.length; s++) {\\n final String seg = segments[s];\\n if(!seg.equals(http.segment(s)) && !seg.startsWith(\\\"{\\\")) return false;\\n }\\n return true;\\n }\",\n \"public static void main(String[] args) {\\n String s = \\\"abc\\\";\\n String t = \\\"ahbgdc\\\";\\n boolean res = isSubsequence(s,t);\\n System.out.println(res);\\n }\",\n \"private boolean STRING(String s) {\\r\\n int n = input.match(s, in);\\r\\n in += n;\\r\\n return (n > 0);\\r\\n }\",\n \"public static boolean endsWith (TextFragment textFragment,\\r\\n \\t\\tString substr)\\r\\n \\t{\\r\\n \\t\\tif (textFragment == null)\\r\\n \\t\\t\\treturn false;\\r\\n \\t\\tif (Util.isEmpty(substr))\\r\\n \\t\\t\\treturn false;\\r\\n \\r\\n \\t\\tString st = textFragment.getCodedText();\\r\\n \\r\\n \\t\\tint pos = TextFragment.indexOfLastNonWhitespace(st, -1, 0, true, true, true, true);\\r\\n \\t\\tif (pos == -1)\\r\\n \\t\\t\\treturn false;\\r\\n \\r\\n \\t\\treturn st.lastIndexOf(substr) == pos - substr.length() + 1;\\r\\n \\t}\",\n \"public static String parseSubstring(String line, String start, String end){\\n \\n if (line == null || start == null || end == null)\\n return null;\\n \\n int s = line.indexOf(start) + start.length();\\n int e = line.indexOf(end, s);\\n \\n if (s >= e)\\n return null;\\n \\n return line.substring(s, e);\\n }\",\n \"public static void main (String[] args)\\n {\\n String test = \\\"software\\\";\\n \\n CharSequence seq = \\\"soft\\\";\\n boolean bool = test.contains(seq);\\n System.out.println(\\\"Found soft?: \\\" + bool);\\n \\n // it returns true substring if found.\\n boolean seqFound = test.contains(\\\"war\\\");\\n System.out.println(\\\"Found war? \\\" + seqFound);\\n \\n // it returns true substring if found otherwise\\n // return false.\\n boolean sqFound = test.contains(\\\"wr\\\");\\n System.out.println(\\\"Found wr?: \\\" + sqFound);\\n }\",\n \"private static boolean isURIString(String p_uric) {\\n if (p_uric == null) {\\n return false;\\n }\\n int end = p_uric.length();\\n char testChar = '\\\\0';\\n for (int i = 0; i < end; i++) {\\n testChar = p_uric.charAt(i);\\n if (testChar == '%') {\\n if (i+2 >= end ||\\n !isHex(p_uric.charAt(i+1)) ||\\n !isHex(p_uric.charAt(i+2))) {\\n return false;\\n }\\n else {\\n i += 2;\\n continue;\\n }\\n }\\n if (isURICharacter(testChar)) {\\n continue;\\n }\\n else {\\n return false;\\n }\\n }\\n return true;\\n }\",\n \"public static String substring (String str, int beginning, int end) {\\n int i = 0;\\n while (i < str.length()){\\n if (beginning >= str.length() || end >= str.length()) return \\\"\\\";\\n if (beginning < 0 || end < 0) return \\\"\\\";\\n\\n }\\n return \\\"\\\";\\n\\n\\n }\",\n \"public void containsString() {\\n\\t\\t\\tString name = \\\"martin\\\";\\n\\t\\t\\tboolean contains = name.contains(\\\"rti\\\");\\n\\t\\t\\tif(contains) {\\n\\t\\t\\t\\tSystem.out.println(\\\"it contains\\\");\\n\\t\\t\\t}\\n\\t\\t}\",\n \"private static boolean isStartTag(String line) {\\n final char c = line.charAt(line.length() - 2);\\n return brackets(line) && line.charAt(1) != '/' && (c != '/' && c != '?');\\n }\",\n \"private Boolean nonEmptyQuery(String query){\\n\\t\\tBoolean isCorrect = false;\\n\\t\\tString [] queryElements = query.split(\\\"--\\\");\\n\\t\\tif(queryElements.length==2 && !queryElements[0].isEmpty() && !queryElements[1].isEmpty())\\n\\t\\t\\tisCorrect = true;\\n\\t\\treturn isCorrect;\\n\\t}\",\n \"private static boolean isPalindromeSubstring(String inString, int lowerBound, int upperBound)\\n {\\n char lowerChar = inString.charAt(lowerBound);\\n char upperChar = inString.charAt(upperBound);\\n\\n if (lowerBound == upperBound)\\n {\\n return true;\\n }\\n else if (lowerBound > upperBound)\\n {\\n return false;\\n }\\n else if (lowerChar != upperChar)\\n {\\n return false;\\n }\\n else\\n {\\n isPalindromeSubstring(inString, ++lowerBound, --upperBound);\\n }\\n\\n return true;\\n }\",\n \"String substringRunes(int start, int end) {\\n\\t\\t\\tstart -= this.offset;\\n\\t\\t\\tend -= this.offset;\\n\\t\\t\\tint runes = snippet.codePointCount(0, snippet.length());\\n\\t\\t\\tif (start < 0) {\\n\\t\\t\\t\\tstart = 0;\\n\\t\\t\\t}\\n\\t\\t\\tif (end < 0) {\\n\\t\\t\\t\\tend = 0;\\n\\t\\t\\t}\\n\\t\\t\\tif (start > runes) {\\n\\t\\t\\t\\tstart = runes;\\n\\t\\t\\t}\\n\\t\\t\\tif (end > runes) {\\n\\t\\t\\t\\tend = runes;\\n\\t\\t\\t}\\n\\t\\t\\treturn snippet.substring(\\n\\t\\t\\t\\tsnippet.offsetByCodePoints(0, start),\\n\\t\\t\\t\\tsnippet.offsetByCodePoints(0, end)\\n\\t\\t\\t);\\n\\t\\t}\",\n \"private boolean isIn(String s1, String s2) {\\n\\t for(int i = 0; i <= s2.length() - s1.length(); i++) {\\n\\t \\n\\t if(s2.substring(i, i+s1.length()).equals(s1) ) {\\n\\t // System.out.println(\\\"+ \\\" + s2.substring(i, i+s1.length()) + \\\" \\\" + s1);\\n\\t return true;\\n\\t }\\n\\t }\\n\\t return false;\\n\\t}\",\n \"public boolean containsWord(String keyword){\\n /* to be implemented in part(b) */\\n if(description.indexOf(\\\" \\\"+ keyword+ \\\" \\\")!==-1){\\n return true; \\n }\\n else if(description.indexOf(\\\" \\\"+keyword)=0){\\n return true \\n }\\n else return false;\\n }\",\n \"@Test\\n\\tpublic void isValidQueryTest() {\\n\\t\\tString query1 = \\\"< nice & cool \\\";\\n\\t\\tString query2 = \\\"( hello & !!cool )\\\";\\n\\t\\tString query3 = \\\"( hello | !cool )\\\";\\n\\t\\t\\n\\t\\texception.expect(IllegalArgumentException.class);\\n\\t\\tqueryTest.isValidQuery(query1);\\n\\t\\tqueryTest.isValidQuery(query2);\\n\\n\\t\\texception = ExpectedException.none();\\n\\t\\tqueryTest.isValidQuery(query3);\\n\\n\\t\\t// test num of brackets\\n\\t\\tquery1 = \\\"( nice & cool )\\\";\\n\\t\\tquery2 = \\\"( ( nice & cool )\\\";\\n\\t\\tquery3 = \\\"( hello & my | ( name | is ) | bar & ( hi )\\\";\\n\\t\\t\\n\\t\\tqueryTest.isValidQuery(query1);\\n\\t\\texception.expect(IllegalArgumentException.class);\\n\\t\\tqueryTest.isValidQuery(query2);\\n\\t\\tqueryTest.isValidQuery(query3);\\n\\t\\t\\n\\t\\t// test phrases (+ used to indicate phrase)\\n\\t\\tquery1 = \\\"hello+hi+my\\\";\\n\\t\\tquery2 = \\\"hello+contains+my\\\";\\n\\t\\tquery3 = \\\"( my+name & hello | ( oh my ))\\\";\\n\\t\\t\\n\\t\\texception = ExpectedException.none();\\n\\t\\tqueryTest.isValidQuery(query1);\\n\\t\\tqueryTest.isValidQuery(query2);\\n\\t\\tqueryTest.isValidQuery(queryTest.fixSpacing(query3));\\n\\t}\",\n \"boolean hasIsEndOfSentence();\",\n \"private boolean isSubSequence(char str1[], char str2[]) {\\n int j = 0;\\n int m = str1.length;\\n int n = str2.length;\\n for (int i=0; i<n&&j<m; i++)\\n if (str1[j] == str2[i])\\n j++;\\n return (j==m);\\n }\",\n \"public boolean verifyPartialText(WebElement ele, String expectedText) {\\n\\t\\ttry {\\r\\n\\t\\t\\tif(ele.getText().contains(expectedText)) {\\r\\n\\t\\t\\t\\treportSteps(\\\"Expected text contains the actualText \\\"+expectedText,\\\"pass\\\");\\r\\n\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t}else {\\r\\n\\t\\t\\t\\treportSteps(\\\"Expected text doesn't contain the actualText \\\"+expectedText,\\\"fail\\\");\\r\\n\\t\\t\\t}\\r\\n\\t\\t} catch (WebDriverException e) {\\r\\n\\t\\t\\tSystem.out.println(\\\"Unknown exception occured while verifying the Text\\\");\\r\\n\\t\\t} \\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"boolean hasMid();\",\n \"boolean hasMid();\",\n \"public boolean contains(String str);\",\n \"public boolean isSubSequence(String x, String y){\\n\\t\\tint j = 0;\\n\\t\\tfor(int i = 0 ; i < x.length() && j< y.length(); i++){\\n\\t\\t\\tif(x.charAt(j) == y.charAt(i)){\\n\\t\\t\\t\\tj++;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn j == x.length();\\n\\t}\",\n \"@Test\\n @ExcludeIn({ DB2, DERBY, FIREBIRD })\\n public void substring() {\\n query().from(Constants.employee).where(Constants.employee.firstname.substring((-3), 1).eq(Constants.employee.firstname.substring((-2), 1))).select(Constants.employee.id).fetch();\\n }\",\n \"public boolean search(String s, String p) {\\n int i,j,start=0;\\n for(i=0,j=0;i<s.length()&&j<p.length();i++) {\\n if(p.charAt(j)=='*') {\\n start = ++j;\\n i--;\\n } else if(match(p.charAt(j),s.charAt(i))) {\\n j++;\\n } else {\\n i-=j-start;\\n j=start;\\n }\\n }\\n while(j<p.length() && p.charAt(j)=='*') {\\n j++;\\n }\\n return j>=p.length();\\n }\",\n \"public boolean isMatch(String s, String p) {\\n if(s == null || p == null){\\n return false;\\n }\\n int pPoint = 0;\\n int sPoint = 0;\\n int starPoint =-1;\\n int sMatch = 0;\\n while(sPoint < s.length()){\\n // there is no star, then we should match char by char\\n if(pPoint < p.length() && (p.charAt(pPoint) == '?' || s.charAt(sPoint) == p.charAt(pPoint))){\\n pPoint ++;\\n sPoint ++;\\n }else if( pPoint < p.length() && p.charAt(pPoint) == '*'){\\n //if there is start, we mark the start position and pos in s\\n // compare pPoint +1 and sPoint;\\n starPoint = pPoint;\\n sMatch = sPoint;\\n pPoint++;\\n }else if(starPoint != -1){\\n // if there is a start already and there is mismatch between pPoint and sPoint\\n // we use the * to match the sPoint\\n // bring back the point to startPoint+1 for pPoint \\n // sMatch ++\\n pPoint = starPoint+1;\\n sPoint = sMatch+1;\\n sMatch ++;\\n }else{\\n return false;\\n }\\n }\\n while(pPoint < p.length()){\\n if(p.charAt(pPoint) != '*'){\\n return false;\\n }\\n pPoint++;\\n }\\n return true;\\n }\",\n \"public static boolean isValidinput(String query){\\r\\n\\t\\tPattern regex = Pattern.compile(\\\"[$&+,:;=@#|]\\\");\\r\\n\\t\\tMatcher matcher = regex.matcher(query);\\r\\n\\t\\tif (matcher.find()){\\r\\n\\t\\t\\treturn false;\\r\\n\\t\\t}\\r\\n\\t\\telse{\\r\\n\\t\\t\\treturn true;\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"public boolean containsString(String string) {\\n return this.region.contains(string) ||\\n this.description.contains(string);\\n }\",\n \"@Override\\n protected boolean isValidDataBlock(String dataBlock) {\\n if (dataBlock== null){return false;}\\n String[] msg = dataBlock.split(\\\"=\\\");\\n if(msg.length == 2 && msg[0].equals(\\\"country\\\")){return true;}\\n else {return false;}\\n }\",\n \"protected boolean isChunkAtWordBoundary(TextChunk chunk, TextChunk previousChunk) {\\r\\n\\t\\treturn chunk.getLocation().isAtWordBoundary(previousChunk.getLocation());\\r\\n\\t}\",\n \"boolean contains(String pattern) {\\n String str = buffer.toString();\\n return str.contains(pattern);\\n }\",\n \"public boolean containsLiteral();\",\n \"String extractSlice(String s, int where, String start, String end) {\\n int startInd;\\n int endInd;\\n\\n if (start == null) {\\n startInd = where;\\n } else {\\n int i = s.indexOf(start, where);\\n if (i < 0) {\\n return null;\\n }\\n startInd = i + start.length();\\n }\\n\\n if (end == null) {\\n endInd = s.length();\\n } else {\\n endInd = s.indexOf(end, startInd);\\n if (endInd == -1) {\\n return null;\\n }\\n }\\n\\n try {\\n return s.substring(startInd, endInd);\\n } catch (StringIndexOutOfBoundsException e) {\\n return null;\\n }\\n }\",\n \"void fragment(String fragment);\",\n \"void fragment(String fragment);\",\n \"public static boolean Q3(String test) {\\n\\t\\tSystem.out.println(Pattern.matches(\\\".*[abc]{2,3}.*\\\",test));\\n\\t\\treturn Pattern.matches(\\\".*[abc]{2,3}.*\\\",test);\\n\\t}\",\n \"@Override\\n public boolean validateNotEmptyPartial (String partial)\\n {\\n return partial.replaceAll(\\\"[^/]\\\", \\\"\\\").length() < 3 && partial.replaceAll(\\\"[^0-9]\\\", \\\"\\\").length() < 9 &&\\n partial.replaceAll(\\\"[0-9/]\\\", \\\"\\\").length() == 0;\\n }\",\n \"boolean hasHadithText();\",\n \"private boolean isAdvancedQuery(String enteredQuery){\\n try{\\n Character firstChar = enteredQuery.charAt(0);\\n Character secondChar = enteredQuery.charAt(1);\\n\\n return isSignOperator(firstChar.toString()) && secondChar.equals(' ');\\n }catch (StringIndexOutOfBoundsException ex){\\n return false;\\n }\\n }\",\n \"public boolean hasString() {\\n/* 800 */ return true;\\n/* */ }\",\n \"public static int wordsEndsWithSubstring(String s, String substring) {\\n\\t\\tint numb = 0;\\n\\t\\tfor (int i = 0; i < s.length(); i++) {\\n\\t\\t\\ttry {\\n\\t\\t\\tif(s.substring(i,i+substring.length()).equals(substring) && s.substring(i+substring.length(), i+substring.length()+1).equals(\\\" \\\")) {\\n\\t\\t\\t\\tnumb++;\\n\\t\\t\\t}\\n\\t\\t\\t}catch(Exception e) {}\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn numb;\\n\\t}\",\n \"public final int partialIsValidUtf8(int state, ByteBuffer buffer, int index, int limit) {\\n if (buffer.hasArray()) {\\n int offset = buffer.arrayOffset();\\n return partialIsValidUtf8(state, buffer.array(), offset + index, offset + limit);\\n } else if (buffer.isDirect()) {\\n return partialIsValidUtf8Direct(state, buffer, index, limit);\\n } else {\\n return partialIsValidUtf8Default(state, buffer, index, limit);\\n }\\n }\",\n \"private boolean isContain(String fullText, String searchString) {\\n String pattern = \\\"\\\\\\\\b\\\" + searchString + \\\"\\\\\\\\b\\\";\\n Pattern p = Pattern.compile(pattern, Pattern.CASE_INSENSITIVE); //make the keyword case insensitive\\n Matcher m = p.matcher(fullText);\\n return m.find();\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6396567","0.5776347","0.57468325","0.57415885","0.5652685","0.5601024","0.5599444","0.55925167","0.5493928","0.54913384","0.5480244","0.5469123","0.54642725","0.5449604","0.5424833","0.542447","0.54125947","0.5404589","0.5402229","0.5396171","0.5359116","0.5343452","0.53294706","0.5303334","0.5288121","0.526897","0.52441275","0.51999277","0.5164607","0.5128907","0.51260996","0.5121802","0.5100551","0.5087706","0.50843996","0.5064778","0.50591403","0.5041853","0.504045","0.50364834","0.4985787","0.49524203","0.49330258","0.49224564","0.49087405","0.48861995","0.48804054","0.48766932","0.4871937","0.48710078","0.48548758","0.4849374","0.48445043","0.48123765","0.48090646","0.48031092","0.47930896","0.47869062","0.47748992","0.47702014","0.47603998","0.4757861","0.47503364","0.47387338","0.4727868","0.4726795","0.469873","0.46983248","0.46945253","0.46927178","0.4680121","0.46767092","0.46764684","0.4674832","0.46727446","0.4669417","0.46681595","0.46681595","0.46668956","0.46661285","0.4663875","0.4660662","0.46405426","0.46400243","0.46338543","0.463272","0.4627484","0.46147573","0.46101955","0.46101952","0.46076402","0.46076402","0.46060592","0.45999902","0.45992815","0.4598093","0.45954427","0.45953766","0.4576523","0.45747575"],"string":"[\n \"0.6396567\",\n \"0.5776347\",\n \"0.57468325\",\n \"0.57415885\",\n \"0.5652685\",\n \"0.5601024\",\n \"0.5599444\",\n \"0.55925167\",\n \"0.5493928\",\n \"0.54913384\",\n \"0.5480244\",\n \"0.5469123\",\n \"0.54642725\",\n \"0.5449604\",\n \"0.5424833\",\n \"0.542447\",\n \"0.54125947\",\n \"0.5404589\",\n \"0.5402229\",\n \"0.5396171\",\n \"0.5359116\",\n \"0.5343452\",\n \"0.53294706\",\n \"0.5303334\",\n \"0.5288121\",\n \"0.526897\",\n \"0.52441275\",\n \"0.51999277\",\n \"0.5164607\",\n \"0.5128907\",\n \"0.51260996\",\n \"0.5121802\",\n \"0.5100551\",\n \"0.5087706\",\n \"0.50843996\",\n \"0.5064778\",\n \"0.50591403\",\n \"0.5041853\",\n \"0.504045\",\n \"0.50364834\",\n \"0.4985787\",\n \"0.49524203\",\n \"0.49330258\",\n \"0.49224564\",\n \"0.49087405\",\n \"0.48861995\",\n \"0.48804054\",\n \"0.48766932\",\n \"0.4871937\",\n \"0.48710078\",\n \"0.48548758\",\n \"0.4849374\",\n \"0.48445043\",\n \"0.48123765\",\n \"0.48090646\",\n \"0.48031092\",\n \"0.47930896\",\n \"0.47869062\",\n \"0.47748992\",\n \"0.47702014\",\n \"0.47603998\",\n \"0.4757861\",\n \"0.47503364\",\n \"0.47387338\",\n \"0.4727868\",\n \"0.4726795\",\n \"0.469873\",\n \"0.46983248\",\n \"0.46945253\",\n \"0.46927178\",\n \"0.4680121\",\n \"0.46767092\",\n \"0.46764684\",\n \"0.4674832\",\n \"0.46727446\",\n \"0.4669417\",\n \"0.46681595\",\n \"0.46681595\",\n \"0.46668956\",\n \"0.46661285\",\n \"0.4663875\",\n \"0.4660662\",\n \"0.46405426\",\n \"0.46400243\",\n \"0.46338543\",\n \"0.463272\",\n \"0.4627484\",\n \"0.46147573\",\n \"0.46101955\",\n \"0.46101952\",\n \"0.46076402\",\n \"0.46076402\",\n \"0.46060592\",\n \"0.45999902\",\n \"0.45992815\",\n \"0.4598093\",\n \"0.45954427\",\n \"0.45953766\",\n \"0.4576523\",\n \"0.45747575\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.51392597"},"document_rank":{"kind":"string","value":"29"}}},{"rowIdx":132596,"cells":{"query":{"kind":"string","value":"Adds pages that are linked to or is linked from one of the pages passed as argument."},"document":{"kind":"string","value":"public List<Page> expandPages(List<Page> pages) {\n\n\t\tList<Page> expandedPages = new ArrayList<>();\n\t\tSet<String> inAndOutLinks = new HashSet<>();\n\t\t// Go through all pages an build a list of String links\n\t\tfor (Page currP : pages) {\n\t\t\tif (!expandedPages.contains(currP))\n\t\t\t\texpandedPages.add(currP);\n\t\t\tList<String> currInlinks = currP.getInlinks();\n\t\t\tfor (String currInlink : currInlinks)\n\t\t\t\tinAndOutLinks.add(currInlink);\n\t\t\tList<String> currOutlinks = currP.getOutlinks();\n\t\t\tfor (String currOutlink : currOutlinks)\n\t\t\t\tinAndOutLinks.add(currOutlink);\n\t\t}\n\t\t// go through String links and add their respective pages to our return\n\t\t// list\n\t\tfor (String addr : inAndOutLinks) {\n\t\t\tPage p = pTable.get(addr);\n\t\t\tif (p != null && !expandedPages.contains(p)) { // a valid link may\n\t\t\t\t// not have an\n\t\t\t\t// associated page\n\t\t\t\t// in our table\n\t\t\t\texpandedPages.add(p);\n\t\t\t}\n\t\t}\n\t\treturn expandedPages;\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public abstract void addCustomPages();","public void resolvePageReferences()\n{\n int count = _pages.size();\n while(count-- > 0)\n getPage(count).resolvePageReferences(this);\n}","private void goThroughLinks() throws IOException {\n for (URL link :links) {\n pagesVisited++;\n Node node;\n if (link.toString().contains(\"?id=1\") && !books.contains(link)) {\n node = populateNode(link);\n depth = 2;\n books.add(node);\n } else if (link.toString().contains(\"?id=2\") && !movies.contains(link)) {\n node = populateNode(link);\n depth = 2;\n movies.add(node);\n } else if (link.toString().contains(\"?id=3\") && !music.contains(link)) {\n node = populateNode(link);\n depth = 2;\n music.add(node);\n }\n }\n }","public static void AddUrls (List<String> links) {\n\t for(String LoopedLinks:links) { \n\t\n\t\t//if page isn't part of domain, ignore\n\t\t if (LoopedLinks.startsWith(variables.domain)) {\n\t\n\t\t\t //if page doesn't have an octothorpe\n\t\t\t if (!LoopedLinks.contains(\"#\")) {\n\t\t\t\t \n\t\t\t\t //if page doesn't ends with one of the file extensions to not use\n\t\t\t\t String extension = getExtension(LoopedLinks);//gets file extension from URL\n\t\t\t\t if(!variables.list.stream().anyMatch(extension::contains)) {\n\n\t\t\t\t\t //if link isn't already part of master list, add it.\n\t\t\t\t\t if(!variables.master.contains(LoopedLinks)) {\n\t\t\t\t\t\t Reporter.log(\"Adding to master list \"+LoopedLinks, variables.verboseReport);\n\t\t\t\t\t\t variables.master.add(LoopedLinks);\n\t\t\t\t\t }\n\t\t\t\t }\n\t\t\t }\n\t\t }\n\t }\n\t}","public void addPage(PDFPage aPage) { _pages.add(aPage); }","public void addPages() {\t\t\n\t\tpage1 = new Opera2ActionsTransformationWizardPage1(selection, operaModel);\n\t\taddPage(page1);\t\n\t}","public boolean addAll(Link<T> link);","public void resolvePageReferences()\n {\n int count = _pages.size();\n while (count-- > 0)\n getPage(count).resolvePageReferences(this);\n }","public void addPage(int newPage) {\r\n\t\tpage.addAtTail(newPage);\r\n\t}","boolean checkAlreadyFound(String page)\r\n {\r\n if(pageNames.size()==0)\r\n\t return false;\r\n \r\n\t// Check this is a new one.\r\n\tfor(int i=1;i<pageNames.size();i++)\r\n\t{\r\n\t String pageName=(String)pageNames.elementAt(i);\r\n\t if(pageName.equalsIgnoreCase(page))\r\n\t return(true);\r\n\t}\r\n\treturn(false);\r\n }","List<? extends Page> getPages();","void queueInternalLinks(Elements paragraphs) {\n // FILL THIS IN!\n\t\tfor(Element paragraph: paragraphs)\n\t\t{\n\t\t\tIterable<Node> iterator = new WikiNodeIterable(paragraph);\n\t\t\tfor(Node node: iterator)\n\t\t\t{\n\t\t\t\tif(node instanceof Element)\n\t\t\t\t{\n\t\t\t\t\tString link = node.attr(\"href\");\n\t\t\t\t\tif(link.startsWith(\"/wiki/\"))\n\t\t\t\t\t{\n\t\t\t\t\t\tqueue.add(\"https://en.wikipedia.org\" + ((Element)node).attr(\"href\"));\t\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}","public ScoreboardHandler addPages(ScoreboardPage... pages)\n {\n this.pages.addAll(Arrays.asList(pages));\n\n return this;\n }","private void appendPages(ArrayList<IPage> pages, Element parentElement) {\r\n // iterate over every page in List\r\n for (IPage page : pages) {\r\n // create element document for page and set attributes\r\n Element pageElement = document.createElement(PAGE_TAG_NAME);\r\n \r\n Set<EvoAttribute> pageAttributeSet = page.getPageAttributeSet();\r\n for(EvoAttribute pageAttribute : pageAttributeSet){\r\n \tif(pageAttribute.isUsed()){\r\n \t\tString pageAttributeName = pageAttribute.getAttributeName();\r\n \t\tString pageAttributeValue = pageAttribute.getAttributeValue();\r\n \t\t//Empty attributes are printed\r\n \t\tpageElement.setAttribute(pageAttributeName, pageAttributeValue);\r\n \t} \t\r\n }\r\n \r\n for(IPageResource pageResource : page.getPageResources()){\r\n \tif(pageResource.isUsed()){\r\n \t\tElement element = document.createElement(pageResource.getName());\r\n\r\n String pathIdentifier = pageResource.getExternalFileLocationAttributeName();\r\n\r\n \t\tSet<EvoAttribute> resourceAttributeSet = pageResource.getAttributeSet();\r\n \t\tfor(EvoAttribute resourceAttribute : resourceAttributeSet){\r\n \t\t\tString pageAttributeName = resourceAttribute.getAttributeName();\r\n \t\tString pageAttributeValue = resourceAttribute.getAttributeValue();\r\n \t\tif(resourceAttribute.isUsed()){\r\n\t \t\t\tif(pathIdentifier.equalsIgnoreCase(pageAttributeName)){\r\n //Empty attributes are NOT printed\r\n if(!pageAttributeValue.isEmpty()){\r\n resources.add(pageAttributeValue);\r\n File f = new File(pageAttributeValue);\r\n pageAttributeValue = \"resources\" + File.separator + f.getName();\r\n }\r\n\t \t\t\t}\r\n element.setAttribute(pageAttributeName, pageAttributeValue);\r\n \t\t}\r\n \t\t}\r\n \t\tif(pageResource.canHaveContent()){\r\n \t\t\telement.appendChild(document.createTextNode(pageResource.getContent()));\r\n \t\t}\r\n \t\tpageElement.appendChild(element);\r\n \t}\r\n }\r\n\r\n // if page has subpages iterate through every one of them\r\n ArrayList<IPage> childPages = gallery.getChildPageList(page.getId());\r\n if (childPages.size() != 0) {\r\n appendPages(childPages, pageElement);\r\n }\r\n // if page don't have subpages append page node to parent node\r\n parentElement.appendChild(pageElement);\r\n }\r\n }","public void addInlink(String url) {\r\n\t\tif (!inlinks.contains(url)) {\r\n\t\t\tinlinks.add(url);\r\n\t\t}\r\n\t}","private void getLinks(Page page, Element content, boolean withConnection) throws JSONException, SQLException {\n\t\tString pageTitle = page.getTitle();\n\t\tString pageId = String.valueOf(page.getPageId());\n\t\tElements links = content.select(\"a[href]\");\n\t\tPageApi pa = new PageApi();\n\t\tfor (Iterator<Element> iterator = links.iterator(); iterator.hasNext();) {\n\t\t\tElement element = iterator.next();\n\t\t\tString link = element.attr(\"href\");\n\t\t\t/**\n\t\t\t * It has to be an internal wikipedia link\n\t\t\t */\n\t\t\tif (link.startsWith(\"/wiki/\")) {\n\t\t\t\t/**\n\t\t\t\t * Ignore unrelevant links\n\t\t\t\t */\n\t\t\t\tif (link.startsWith(\"/wiki/Category:\") || link.startsWith(\"/wiki/Special:\")\n\t\t\t\t\t\t|| link.startsWith(\"/wiki/Wikipedia:\") || link.startsWith(\"/wiki/Help:\")\n\t\t\t\t\t\t|| link.startsWith(\"/wiki/Template:\") || link.startsWith(\"/wiki/Portal:\")\n\t\t\t\t\t\t|| link.startsWith(\"/wiki/Talk:\") || link.startsWith(\"/wiki/\" + pageTitle + \":\")\n\t\t\t\t\t\t|| link.startsWith(\"/wiki/File:\") || link.startsWith(\"/wiki/Template_talk:\")) {\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tlink = link.replace(\"/wiki/\", \"\");\n\t\t\t\tPage character = pa.getPageInfoForTitle(link);\n\t\t\t\tif (withConnection) {\n\t\t\t\t\tif (tempList.contains(character.getPageId())) {\n\t\t\t\t\t\tpersistConnection(pageId, character);\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\telse {\n\t\t\t\t\tpersistCharacter(pageId, character);\n\t\t\t\t}\n\n\t\t\t}\n\t\t}\n\t}","List<Item<T>> addItemsForPage(final long page);","public void addPages() {\n\t\tpage = new NewTotoriWizardPage(selection);\n\t\taddPage(page);\n\t}","private void hookLinks(long offleft,long offright){\n\t\tlinks.clear();\n\t\tlinks.add(offleft);\n\t\tlinks.add(offright);\n\t}","public void addAllOnVisibleLinks() {\n // Check for a valid render context and create the new set\n RTGraphComponent.RenderContext myrc = (RTGraphComponent.RenderContext) getRTComponent().rc; if (myrc == null) return;\n Set<Bundle> set = new HashSet<Bundle>();\n // Go through visible links and find the related bundles\n Iterator<String> it = myrc.graphedgeref_to_link.keySet().iterator();\n while (it.hasNext()) {\n String graphedgeref = it.next();\n Iterator<Bundle> itb = digraph.linkRefIterator(graphedgeref);\n while (itb.hasNext()) set.add(itb.next());\n }\n // Add the no mapping set and push it to the RTParent\n set.addAll(getRTComponent().getNoMappingSet()); getRTParent().push(getRTParent().getRootBundles().subset(set));\n }","private void pullLinks(String htmlPage) {\n\n Document doc = Jsoup.parse(htmlPage);\n Elements links = doc.select(\"a[href]\");\n\n for (Element link : links) {\n\n String possibleUrl = link.attr(\"abs:href\");\n\n if (!possibleUrl.equals(\"\")) {\n// Log.v(\"pullLinks\", \" will try to make URL from\" + possibleUrl);\n //if the link attr isn't empty, make a URL\n URL theUrl = NetworkUtils.makeURL(possibleUrl);\n\n if (RegexUtils.urlDomainNameMatch(firstLinkAsString, theUrl.toString())) {\n //if the string version of url is within the same domain as original query\n if (!visitedLinks.contains(theUrl.toString())) {\n// Log.v(\"DLAsyncTask.pullLinks\", \" thinks that \" + theUrl.toString() + \" wasn't visited, add into collected...\");\n collectedLinks.add(theUrl.toString());\n }\n }\n }\n\n }\n }","public void dfs(Webpage currentPage) {\n if (currentPage != null) {\n //System.out.println(currentPage.toString());\n linkDatabase.add(currentPage.getUrl());\n webpageDatabase.add(currentPage);\n\n for (String link : currentPage.getLinks()) {\n if (!linkDatabase.contains(link)) {\n dfs(webpageScraper.fetchWebpage(link));\n }\n }\n }\n }","public static Set<String> parsePage(Document doc){\n\t\ttry{\n\t\t\tElements links = doc.select(\"a[href]\");\n\t\t\tSet<String> pageLinks = new HashSet<String>();\n\t\t\tfor(Element link : links){\n\t\t\t\tpageLinks.add(link.attr(\"abs:href\"));\n\t\t\t}\n\t\t\treturn pageLinks;\n\t\t}catch(Exception err){\n\t\t\terr.printStackTrace();\n\t\t\treturn null;\n\t\t}\n\t}","@Override\n\tpublic void addPages() {\n\t\tthis.mainPage = new SNLFilePage(this.workbench, this.selection);\n\t\tthis.addPage(this.mainPage);\n\t}","public static void testPhilosophy(String start, String end) {\n\t\t\t\t\t\t String test = start;\n\t\t\t\t\t\t\t\t for(int count = 0; i<50; i++)\n\t\t\t\t\t\t\t\t\t\t {\n\t\t\t\t\t\t\t\t\t\t\t\t if(done.contains(test)){\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t return; //duplicate links (loops)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t }\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t else\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t {\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t done.add(test);\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t }\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t Element link = getGoodLink(start);\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t if(link == null) {\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t return; //no links on page\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t }\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t if (link.attr(\"abs:href\").equals(end)) {\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t break; //matches philosophy page\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t }\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t }\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t }","@Override\r\n\tpublic boolean aggiungiPagine(ArrayList<PaginaWeb> a) {\r\n\t\tboolean x = false;\r\n\t\tif(a == null) return false;\r\n\t\tfor( PaginaWeb p : a ) { // Il metodo non richiama aggiungiPagina perche' il comportamento e' indefinito nel caso di dynamic binding.\r\n\t\t\tif( p.getURL().stessoHost(urlBase) ) {\r\n\t\t\t\tif(super.aggiungiPagina(p))\r\n\t\t\t\t\tx = true;\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn x;\r\n\t}","Pages getPages();","public void groupWebPageObjects(int addr, int port) {\n\t\tfor(List<String> pkt : pkts) {\n\t\t\tif((!webPages.contains(pkt.get(addr))) && (pkt.get(port).equals(\"80\") || pkt.get(port).equals(\"443\"))) {\n\t\t\t\twebPages.add(pkt.get(addr));\n\t\t\t}\n\n\t\t}\n\t}","private Set<String> findNewUrls(Document doc) {\n Set<String> newUrlSet = new HashSet<>();\n\n for (Element ah : doc.select(\"a[href]\")) {\n String href = ah.attr(\"abs:href\");\n\n if (!urlSet.contains(href) // Check if this is a new URL\n && href.contains(domain) // Check if the URL is from the same domain\n && isValidExtension(href) // Check that the file extension is not in the list of excluded extensions\n && !href.contains(\"mailto:\") // Check that the href is not an email address\n ) {\n newUrlSet.add(href);\n }\n\n }\n\n processNewUrls(newUrlSet);\n return newUrlSet;\n }","@Test\n\tpublic void WebIndexAddTest() {\n\t\tPage perfect = WebIndex.getPage(\"https://www.google.com\");\n\t\tPage perfect2 = WebIndex.getPage(\"http://www.google.com\");\n\n\t\tWebIndex index = new WebIndex();\n\t\tindex.add(\"google\", \"\", perfect);\n\t\t\n\t\t// check for different case\n\t\tfor (Page p : index.getUrls(\"Google\"))\n\t\t\tassertEquals(p, perfect);\n\t\t\n\n\t\tindex.add(\"Google\", \"\", perfect2);\n\t\tboolean onFirst = true;\n\t\tfor (Page p : index.getUrls(\"Google\"))\n\t\t\tif (onFirst) {\n\t\t\t\tassertTrue(p.equals(perfect));\n\t\t\t\tonFirst = false;\n\t\t\t}\n\t\t\telse\n\t\t\t\tassertTrue(p.equals(perfect2));\n\t\t\n\t}","boolean hasPage(String page);","public static void main(String[] args) throws IOException {\n Deque<String> urlsToVisit = new ArrayDeque<String>();\n // Keep track of which URLs we have visited, so we don't get ourselves stuck in a loop.\n List<String> visitedUrls = new ArrayList<String>();\n // Keep track of how we got to each page, so that we can find our trace back to the BEGIN_URL.\n Hashtable<String, String> referrers = new Hashtable<String, String>();\n boolean pathFound = false;\n\n // Begin with the BEGIN_URL\n urlsToVisit.push(BEGIN_URL);\n\n while(!urlsToVisit.isEmpty() && !pathFound) {\n String currentUrl = urlsToVisit.pop();\n visitedUrls.add(currentUrl);\n\n Elements paragraphs = wf.fetchWikipedia(BASE_URL + currentUrl);\n List<String> pageUrls = new ArrayList<String>();\n\n for (Element p : paragraphs) {\n pageUrls.addAll(getLinksFromParagraph(p));\n }\n\n // Reverse the order of all page urls so that when we're done pushing all the URLS\n // to the stack, the first URL in the page will be the first URL in the current page.\n Collections.reverse(pageUrls);\n\n // Add all the URLs to the list of URLs to visit.\n for (String newUrl : pageUrls) {\n if(!visitedUrls.contains(newUrl)) {\n urlsToVisit.push(newUrl);\n // Record how we ended up at newUrl.\n referrers.put(newUrl, currentUrl);\n\n // Check if one of the links in this page is the END_URL; which means we'll be done!\n if (newUrl.equals(END_URL)) {\n pathFound = true;\n }\n }\n }\n }\n\n if (pathFound) {\n System.out.println(\"=================\");\n System.out.println(\"Path found!\");\n System.out.println(\"=================\");\n\n // Back trace how we ended up at END_URL.\n String backtraceUrl = END_URL;\n System.out.println(backtraceUrl);\n while(backtraceUrl != BEGIN_URL) {\n String referrerUrl = referrers.get(backtraceUrl);\n System.out.println(referrerUrl);\n backtraceUrl = referrerUrl;\n }\n } else {\n System.out.println(\"=================\");\n System.out.println(\"No path found :(\");\n System.out.println(\"=================\");\n }\n }","void addLink(byte start, byte end);","public void add(String word, String url) {\n \n // don't need to add this word if it's a stop word\n for (String stopWord : Settings.getStopWords()) {\n if (word.equalsIgnoreCase(stopWord)) return;\n }\n \n // don't need to add this word if it's already in here\n StringNode check = locate(word);\n if (check != null) {\n check.getPagesContainingWord().add(url);\n return;\n }\n \n // not a stop word, not present--need to add it\n StringNode newNode = new StringNode(word, new URLLinkedList());\n newNode.getPagesContainingWord().add(url);\n if (first == null) { // if first is null, there's nothing in the list\n first = newNode; // set first to this new node\n newNode.getPagesContainingWord().add(url);\n }\n else { // first isn't null, so we want to find the correct place to put this new node\n StringNode current = first;\n // this barebones linked list is very inconvenient, so we have to make a special \n // check for the first item in the list.\n if (word.compareTo(current.getWord()) < 0) { // the word in the new node goes before the word in the first node\n first = newNode; // now the new node is the first one\n newNode.setNext(current); // and its next is the old first one\n }\n else if (!current.hasNext()) { // no next node, so this word goes after current\n current.setNext(newNode);\n }\n else { // new node doesn't go before first, so check the rest of the list\n boolean newNodePlaced = false;\n StringNode previous;\n while (current.hasNext() && !newNodePlaced) { \n previous = current;\n current = current.getNext(); // grab next node\n if (word.compareTo(current.getWord()) < 0) { // new word goes before this one\n// StringNode oldNext = current.getNext();\n// current.setNext(newNode);\n// newNode.setNext(oldNext);\n// newNodePlaced = true;\n previous.setNext(newNode);\n newNode.setNext(current);\n newNodePlaced = true;\n }\n }\n if (!newNodePlaced) { // if we're here and haven't yet placed the node, it goes at the end\n current.setNext(newNode);\n }\n }\n }\n size++;\n }","public void addPage(PDFPageWriter aPage)\n {\n _pages.add(aPage);\n }","@Override\n public void addPages() {\n super.addPages();\n page1 = new NewReviewWizardPage();\n addPage(page1);\n }","void onPagesAdded(List<Integer> pageList);","public void refer(int page){\n\n if(!hashSet.contains(page)){\n\n if(deque.size() == Cache_Size){\n int last = deque.removeLast();\n hashSet.remove(last);\n }\n }\n else{\n /* The found page may not be always the last element, even if it's an\n intermediate element that needs to be removed and added to the start\n of the Queue */\n deque.remove(page);\n }\n deque.push(page);\n hashSet.add(page);\n }","public void incrementPages(String page)\r\n {\r\n // Check if page already Indexed.\r\n\tif(checkAlreadyFound(page))\r\n\t return;\r\n pageNames.addElement(page);\r\n\t\r\n\t// provide feedback to the user.\r\n\tstatusArea.setText(\"Search Page: \"+pageNames.size());\r\n }","@Test\n public void getListingsPages_2() throws IOException {\n List<String> listingsPages = imobiParser.getListingPages(TEST_URL_PAGINATION_2);\n\n Assert.assertThat(listingsPages, notNullValue());\n Assert.assertThat(listingsPages.size(), is(16));\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_2.replaceFirst(\"\\\\{pageNumber\\\\}\", String.valueOf(1)))));\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_2.replaceFirst(\"\\\\{pageNumber\\\\}\", String.valueOf(5)))));\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_2.replaceFirst(\"\\\\{pageNumber\\\\}\", String.valueOf(10)))));\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_2.replaceFirst(\"\\\\{pageNumber\\\\}\", String.valueOf(16)))));\n }","private ArrayList<Integer> getPageLinks() {\n int numberOfPages = sqlData.getNumberOfPages();\n\n int n = (pageNumInt / numberOfPages);\n Integer startPage = n * numberOfPages;\n\n ArrayList<Integer> pageLinks = new ArrayList<Integer>();\n\n // iterate and add to the array\n for(int i=0; i < numberOfPages; i++) {\n pageLinks.add(++startPage); \n }\n\n return pageLinks;\n \n }","void addHasInstitutionHomePage(Object newHasInstitutionHomePage);","public Map<String, Map<String, Boolean>> containExternalLinks(Map<String, List<String>> data) throws IOException\n {\n List<List<String>> pagelinks = wiki.getExternalLinksOnPage(new ArrayList<>(data.keySet()));\n int counter = 0;\n Map<String, Map<String, Boolean>> ret = new HashMap<>();\n for (Map.Entry<String, List<String>> entry : data.entrySet())\n { \n List<String> addedlinks = entry.getValue();\n List<String> currentlinks = pagelinks.get(counter);\n Map<String, Boolean> stillthere = new HashMap<>();\n for (int i = 0; i < addedlinks.size(); i++)\n {\n String url = addedlinks.get(i);\n stillthere.put(url, currentlinks.contains(url));\n }\n ret.put(entry.getKey(), stillthere);\n counter++;\n }\n return ret;\n }","public int addPageIndex(URL url, String urlHash, Date urlModified, int size, plasmaParserDocument document, plasmaCondenser condenser, String language, char doctype, int outlinksSame, int outlinksOther) {\n Iterator i = condenser.words();\r\n Map.Entry wentry;\r\n String word;\r\n indexRWIEntry ientry;\r\n plasmaCondenser.wordStatProp wprop;\r\n String wordHash;\r\n int urlLength = url.toString().length();\r\n int urlComps = htmlFilterContentScraper.urlComps(url.toString()).length;\r\n \r\n while (i.hasNext()) {\r\n wentry = (Map.Entry) i.next();\r\n word = (String) wentry.getKey();\r\n wprop = (plasmaCondenser.wordStatProp) wentry.getValue();\r\n // if ((s.length() > 4) && (c > 1)) System.out.println(\"# \" + s + \":\" + c);\r\n wordHash = plasmaURL.word2hash(word);\r\n ientry = newRWIEntry(urlHash,\r\n urlLength, urlComps, (document == null) ? urlLength : document.getMainLongTitle().length(),\r\n wprop.count,\r\n condenser.RESULT_SIMI_WORDS,\r\n condenser.RESULT_SIMI_SENTENCES,\r\n wprop.posInText,\r\n wprop.posInPhrase,\r\n wprop.numOfPhrase,\r\n 0,\r\n size,\r\n urlModified.getTime(),\r\n System.currentTimeMillis(),\r\n condenser.RESULT_WORD_ENTROPHY,\r\n language,\r\n doctype,\r\n outlinksSame, outlinksOther,\r\n true);\r\n addEntry(wordHash, ientry, System.currentTimeMillis(), false);\r\n }\r\n // System.out.println(\"DEBUG: plasmaSearch.addPageIndex: added \" +\r\n // condenser.getWords().size() + \" words, flushed \" + c + \" entries\");\r\n return condenser.RESULT_SIMI_WORDS;\r\n }","public void addPage(PdfPage page) {\n this.pages.add(page);\n }","@SuppressWarnings(\"unused\")\n public void addLinks(Link... links) {\n for (Link link : links) {\n this.links.put(link.getRel(), new HalLink(link.getUri().toString()));\n }\n }","public Link add(Link link);","@Override\n public boolean shouldVisit(Page referringPage, WebURL url) {\n\t String href = url.getURL();\n\t allUrlsObject.visitAllUrls(referringPage,url);\n\t // to keep track of all the urls extracted\n\t urlsExtracted++;\n\t uniqueUrlsExtracted.add(href);\n\t return href.startsWith(\"http://www.nytimes.com/\");\n}","@Override\n\tpublic void setTargetListTwo(Page page, HttpServletRequest request) {\n\t\t\n\t}","private void searchNext(CrawlingSession executor, Link link) {\n HTMLLinkExtractor htmlLinkExtractor = HTMLLinkExtractor.getInstance();\n// htmlLinkExtractor.setWorking(link);\n \n Source source = CrawlingSources.getInstance().getSource(link.getSourceFullName());\n if(source == null) return;\n \n SessionStore store = SessionStores.getStore(source.getCodeName());\n if(store == null) return;\n\n List<Link> collection = htmlLinkExtractor.getLinks(link, /*link.getSource(),*/ pagePaths);\n// List<Link> collection = htmlLinkExtractor.getLinks(srResource);\n List<Link> nextLinks = createNextLink(link, collection);\n if(nextLinks.size() < 1) return;\n if(userPaths == null && contentPaths == null) {\n executor.addElement(nextLinks, link.getSourceFullName());\n return;\n }\n \n \n if(nextLinks.size() < 2) {\n executor.addElement(nextLinks, link.getSourceFullName());\n }\n \n// long start = System.currentTimeMillis();\n \n int [] posts = new int[nextLinks.size()];\n for(int i = 0; i < nextLinks.size(); i++) {\n try {\n posts[i] = PageDownloadedTracker.searchCode(nextLinks.get(i), true);\n } catch (Throwable e) {\n posts[i] = -1;\n LogService.getInstance().setThrowable(link.getSourceFullName(), e);\n// executor.abortSession();\n// return;\n }\n }\n \n int max = 1;\n for(int i = 0; i < posts.length; i++) {\n if(posts[i] > max) max = posts[i];\n }\n \n// System.out.println(\" thay max post la \"+ max);\n \n List<Link> updateLinks = new ArrayList<Link>();\n for(int i = 0; i < posts.length; i++) {\n if(posts[i] >= max) continue;\n updateLinks.add(nextLinks.get(i));\n }\n \n// long end = System.currentTimeMillis();\n// System.out.println(\"step. 4 \"+ link.getUrl()+ \" xu ly cai ni mat \" + (end - start));\n \n executor.addElement(updateLinks, link.getSourceFullName());\n \n /*int minPost = -1;\n Link minLink = null;\n List<Link> updateLinks = new ArrayList<Link>();\n for(int i = 0; i < nextLinks.size(); i++) {\n Link ele = nextLinks.get(i);\n int post = 0;\n try {\n post = PostForumTrackerService2.getInstance().read(ele.getAddressCode());\n } catch (Exception e) {\n LogService.getInstance().setThrowable(link.getSource(), e);\n }\n if(post < 1) {\n updateLinks.add(ele);\n continue;\n } \n\n if(minPost < 0 || post < minPost){\n minLink = ele;\n minPost = post; \n } \n }\n\n if(minLink != null) updateLinks.add(minLink);\n executor.addElement(updateLinks, link.getSource());*/\n }","public void addPages() {\n //super.addPages(); //<--- notice we're overriding here\n mainPage = new NewTargetWizardPage(\"newFilePage1\", getSelection());//$NON-NLS-1$\n mainPage.setTitle(TITLE);\n mainPage.setDescription(DESCRIPTION); \n addPage(mainPage);\n }","private void addPagingLink(final String label,final String name, final String pageId, final int pageNr, final HorizontalLayout pagingControls) {\n\t\tfinal Link previousPageLink = getPageLinkFactory().createAdminPagingLink(label,name, pageId, String.valueOf(pageNr));\n\t\tpagingControls.addComponent(previousPageLink);\n\t\tpagingControls.setExpandRatio(previousPageLink, ContentRatio.SMALL);\n\t}","private void getLinksFromWikipedia(Page page, boolean fromTemplate)\n\t\t\tthrows IOException, JSONException, SQLException {\n\n\t\tString pageTitle = page.getTitle();\n\t\tURL url = new URL(\"https://en.wikipedia.org/wiki/\" + pageTitle.replace(\" \", \"%20\"));\n\t\tURLConnection con = url.openConnection();\n\t\tInputStream in = con.getInputStream();\n\t\tString encoding = con.getContentEncoding();\n\t\tencoding = encoding == null ? \"UTF-8\" : encoding;\n\t\tString body = IOUtils.toString(in, encoding);\n\t\tDocument doc = Jsoup.parse(body);\n\t\t// Nur Dokument betrachten\n\t\tElement content = doc.getElementById(\"content\");\n\t\tElements template = content.select(\"div[role=navigation]\");\n\n\t\tfor (Element e : template) {\n\t\t\tif (fromTemplate) {\n\t\t\t\tElements rows = e.select(\"tr\");\n\t\t\t\tfor (Element row : rows) {\n\t\t\t\t\tElement cell = row.select(\"th\").first();\n\t\t\t\t\tif (cell == null || !cell.html().contains(\"Character\")) {\n\t\t\t\t\t\tcontinue;\n\n\t\t\t\t\t}\n\t\t\t\t\tElements groups = row.select(\".navbox-group\");\n\t\t\t\t\tif (groups.size() != 0) {\n\t\t\t\t\t\tif (row.html().contains(\"Characters\")) {\n\t\t\t\t\t\t\tgetLinks(page, row, false);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\te.remove();\n\t\t}\n\n\t\tif (!fromTemplate) {\n\t\t\tgetLinks(page, content, true);\n\t\t}\n\n\t}","@Test\n public void getListingsPages_1() throws IOException {\n List<String> listingsPages = imobiParser.getListingPages(TEST_URL_PAGINATION_1);\n\n Assert.assertThat(listingsPages, notNullValue());\n Assert.assertThat(listingsPages.size(), is(10));\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_1.replaceFirst(\"\\\\{pageNumber\\\\}\", String.valueOf(1)))));\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_1.replaceFirst(\"\\\\{pageNumber\\\\}\", String.valueOf(5)))));\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_1.replaceFirst(\"\\\\{pageNumber\\\\}\", String.valueOf(10)))));\n }","private void fairMerge(\n final long prevId,\n long pageId,\n long nextId,\n long nextPage,\n long nextAddr,\n IoStatisticsHolder statHolder)\n throws IgniteCheckedException {\n long prevPage = acquirePage(prevId, statHolder);\n\n try {\n final long prevAddr = writeLock(prevId, prevPage); // No check, we keep a reference.\n assert prevAddr != 0L;\n try {\n PagesListNodeIO prevIO = PagesListNodeIO.VERSIONS.forPage(prevAddr);\n PagesListNodeIO nextIO = PagesListNodeIO.VERSIONS.forPage(nextAddr);\n\n // These references must be updated at the same time in write locks.\n assert prevIO.getNextId(prevAddr) == pageId;\n assert nextIO.getPreviousId(nextAddr) == pageId;\n\n prevIO.setNextId(prevAddr, nextId);\n\n if (needWalDeltaRecord(prevId, prevPage, null))\n wal.log(new PagesListSetNextRecord(grpId, prevId, nextId));\n\n nextIO.setPreviousId(nextAddr, prevId);\n\n if (needWalDeltaRecord(nextId, nextPage, null))\n wal.log(new PagesListSetPreviousRecord(grpId, nextId, prevId));\n }\n finally {\n writeUnlock(prevId, prevPage, prevAddr, true);\n }\n }\n finally {\n releasePage(prevId, prevPage);\n }\n }","Builder addMainEntityOfPage(URL value);","@Override\n protected void processPages(PDPageTree pages) throws IOException {\n\n List<ObjectRef> pageRefs = new ArrayList<>();\n //STEP 1: get the page refs\n findPages(pdDocument.getPages().getCOSObject().getItem(COSName.KIDS), pageRefs);\n //confirm the right number of pages was found\n if (pageRefs.size() != pdDocument.getNumberOfPages()) {\n throw new IOException(new TikaException(\n \"Couldn't find the right number of page refs (\" + pageRefs.size() +\n \") for pages (\" + pdDocument.getNumberOfPages() + \")\"));\n }\n\n PDStructureTreeRoot structureTreeRoot =\n pdDocument.getDocumentCatalog().getStructureTreeRoot();\n\n //STEP 2: load the roleMap\n Map<String, HtmlTag> roleMap = loadRoleMap(structureTreeRoot.getRoleMap());\n\n //STEP 3: load all of the text, mapped to MCIDs\n Map<MCID, String> paragraphs = loadTextByMCID(pageRefs);\n\n //STEP 4: now recurse the the structure tree root and output the structure\n //and the text bits from paragraphs\n\n try {\n recurse(structureTreeRoot.getK(), null, 0, paragraphs, roleMap);\n } catch (SAXException e) {\n throw new IOException(e);\n }\n\n //STEP 5: handle all the potentially unprocessed bits\n try {\n if (state.hrefAnchorBuilder.length() > 0) {\n xhtml.startElement(\"p\");\n writeString(state.hrefAnchorBuilder.toString());\n xhtml.endElement(\"p\");\n }\n for (MCID mcid : paragraphs.keySet()) {\n if (!state.processedMCIDs.contains(mcid)) {\n if (mcid.mcid > -1) {\n //TODO: LOG! piece of text that wasn't referenced in the marked content\n // tree\n // but should have been. If mcid == -1, this was a known item not part of\n // content tree.\n }\n\n xhtml.startElement(\"p\");\n writeString(paragraphs.get(mcid));\n xhtml.endElement(\"p\");\n }\n }\n } catch (SAXException e) {\n throw new IOException(e);\n }\n //Step 6: for now, iterate through the pages again and do all the other handling\n //TODO: figure out when we're crossing page boundaries during the recursion\n // step above and do the page by page processing then...rather than dumping this\n // all here.\n for (PDPage page : pdDocument.getPages()) {\n startPage(page);\n endPage(page);\n }\n\n }","public static void main(String[] args) throws IOException {\n\t\t\n ArrayList<String> visited = new ArrayList<String>();\n\n\t\tString start = \"https://en.wikipedia.org/wiki/Java_(programming_language)\";\n String finish = \"https://en.wikipedia.org/wiki/Philosophy\";\n String url = start;\n\n for (int i = 0; i < 15; i++) {\n\n if (visited.contains(url)) {\n return;\n }\n else {\n visited.add(url); \n }\n\n Elements paragraphs = fetcher.fetchWikipedia(url);\n Element link = searchPage(paragraphs);\n\n if (link == null) {\n System.err.println(\"No links on this page...\");\n return;\n }\n\n url = link.attr(\"abs:href\");\n System.out.println(\"currently on: \" + url);\n \n if (url.equals(finish)) {\n System.out.println(\"found it!\");\n break;\n }\n }\n\t}","public void addPage(String name, String park);","public void addURL(String url) {\n pageURLs.add(url);\n }","public void setPages(List<PdfPage> pages) {\n this.pages = pages;\n }","public List<Blog> list2(String permission,Page page);","Set<Link> extractLinks(CrawlDoc doc, ParseState parseState)\n throws IOException;","public void checkOtherFooterLinks(String linkText,String url,String finder,String pageText){\n\t\tWebElement labelLink = driver.findElement(By.xpath(linkText));\n\t\tlabelLink.click();\n\t\tassertTrue(driver.getCurrentUrl().equals(url), \"Page is missing\");\n\t\t\n\t\tif(driver.getCurrentUrl().equals(url)){\n\t\t\tWebElement text = driver.findElement(By.xpath(finder));\n\t\t\tString ideaPageText = text.getText();\n\t\t\tassertEquals(ideaPageText,pageText,\"Text mismatch\");\n\t\t\t}\n\t\tdriver.navigate().back();\n\t\t}","private String nextUrl()\n {\n String nextUrl;\n do\n {\n nextUrl = this.pagesToVisit.remove(0);\n } while(this.pagesVisited.contains(nextUrl));\n this.pagesVisited.add(nextUrl);\n return nextUrl;\n }","public void addPublishersWebpage( org.ontoware.rdf2go.model.node.Node value) {\r\n\t\tBase.add(this.model, this.getResource(), PUBLISHERSWEBPAGE, value);\r\n\t}","public void setLinks(List<Link> links)\n {\n this.links = links;\n }","final void searchPage(DataInputStream dis,String url)\r\n {\r\n try\r\n\t{\r\n String input; // Raw line read in.\r\n\t String upperCaseInput; // Upper case version of the above\r\n\t String link; // HTML link found\r\n\t String temp; \r\n\t String title=\"\"; // Page Title;\r\n\r\n\t // Read a line at a time.\r\n\t while((input=dis.readLine())!=null)\r\n\t {\r\n\t // Convert to Upper case (makes comparisions easier)\r\n\t\tupperCaseInput=input.toUpperCase();\r\n\t\t// Check for document title\r\n\t\ttemp=parseForTitle(input,upperCaseInput,dis);\r\n\t\t// If a title has been found then remember it. So, that it can displayed on the list box.\r\n\t\tif(temp!=null && temp.length()>0)\r\n\t\t title=temp;\r\n\t //Check for match after title has been found (Don't bother Searching the title though)\r\n\t\tif(title.length()>0 && temp==null)\r\n\t\t checkMatch(input,url,title);\r\n \r\n\t\t// Check to see if this line contains a link\r\n\t\tlink=parseForLink(upperCaseInput,input);\r\n\t\tif(link!=null)\r\n\t\t{\r\n\t\t // Check if the maximum number of pages to search has been reached.\r\n\t\t if(app.getTotalPages()>=maxPages)\r\n\t\t return;\r\n if(topLevelSearch==FIND_TOP_LEVEL_PAGES)\r\n\t\t topLevelPages.addElement(link);\r\n else if(topLevelSearch==SEARCH_TOP_LEVEL_PAGES)\r\n\t\t nextLevelPages.addElement(link);\r\n\t\t else checkLink(link);\t \r\n\t\t}\r\n\t }\r\n }\r\n\tcatch(IOException e){ }\r\n }","public static void main(String[] args) \r\n\t{\n\t\tArrayList<String> fileNames = new ArrayList<String>();\r\n\t\t//arraylist for words on which you should run whichPages\r\n\t\tArrayList<String> whichPagesWords = new ArrayList<String>();\r\n\t\t//int variable for number of stopWords\r\n\t\tint stopWords = 0;\r\n\r\n\r\n\t\ttry{\r\n\t\t\t//Read in the file\r\n\t\t\tScanner scanFile = new Scanner(new File(args[0]));\r\n\r\n\t\t\t//tell the scanner to scan file names until the flag\r\n\t\t\twhile(true){\r\n\r\n\t\t\t\t//scan in the line\r\n\t\t\t\tString s = scanFile.nextLine();\r\n\r\n\t\t\t\tif(s.equals(\"*EOFs*\")){\r\n\t\t\t\t\tbreak;\r\n\t\t\t\t}\r\n\r\n\t\t\t\telse{\r\n\t\t\t\t\tfileNames.add(s);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\t\t\t//get the number of stop words\r\n\t\t\tstopWords = scanFile.nextInt();\r\n\r\n\t\t\t//eat the extra newline\r\n\t\t\tscanFile.nextLine();\r\n\r\n\t\t\t//read in the words for whichPages\r\n\t\t\twhile(scanFile.hasNext()){\r\n\t\t\t\tString s = scanFile.nextLine(); \r\n\t\t\t\twhichPagesWords.add(s.toLowerCase());\r\n\t\t\t}\t\t\t\r\n\t\t}\r\n\r\n\t\tcatch(Exception e){\r\n\t\t\tSystem.out.println(\"Error: \" + e);\r\n\t\t\tSystem.exit(0);\r\n\t\t}\r\n\r\n\t\t//create the WebPages object\r\n\t\tWebPages webPages = new WebPages();\r\n\r\n\t\t//add the new pages\r\n\t\tfor(int i = 0; i < fileNames.size(); i++){\r\n\t\t\twebPages.addPage(fileNames.get(i));\r\n\t\t}\r\n\r\n\t\t//print terms\r\n\t\twebPages.printTerms();\r\n\r\n\t\t//remove stop words\r\n\t\twebPages.pruneStopWords(stopWords);\r\n\r\n\t\t//print terms again\r\n\t\twebPages.printTerms();\r\n\r\n\t\t//run whichPages method\r\n\t\tfor(int i = 0; i < whichPagesWords.size(); i++){\r\n\t\t\tString[] array = webPages.whichPages(whichPagesWords.get(i));\r\n\r\n\t\t\t//String to be printed for each whichPages word\r\n\t\t\tString s = whichPagesWords.get(i);\r\n\r\n\t\t\t//if the word isn't found, return word not found\r\n\t\t\tif(array == null){\r\n\t\t\t\ts += \" not found\";\r\n\t\t\t}\r\n\r\n\t\t\t//otherwise, return the word and the pages it occurs on\r\n\t\t\telse{\r\n\t\t\t\t//String to print\r\n\t\t\t\ts += \" in pages: \";\r\n\r\n\t\t\t\tfor(int j = 0; j < array.length-1; j++){\r\n\t\t\t\t\ts += array[j] + \", \";\r\n\t\t\t\t}\r\n\r\n\t\t\t\ts += array[array.length-1];\r\n\t\t\t}\r\n\r\n\t\t\tSystem.out.println(s);\r\n\t\t}\r\n\t}","boolean hasPage();","boolean hasPage();","synchronized void toCrawlList_addAll(LinkedHashSet _toCrawlList, ArrayList _links)\n {\n _toCrawlList.addAll(_links);\n }","public Set getPages () {\n return pages;\n }","@Override\n\tpublic int addLink(Link link) {\n\t\treturn 0;\n\t}","public void incPagesCrawled() {\n pagesCrawled++;\n }","ItemStack addPage(ItemStack itemstack, ItemStack page, float x, float y);","public boolean hasLinkPanel(ItemStack page);","@Override\n public boolean AddTraversalStreet(Street street) {\n boolean follows = false;\n if(streets.size() == 0) {\n follows = true;\n } else {\n for (Street s : streets) {\n if (s.follows(street)) {\n follows = true;\n break;\n }\n }\n }\n if(!follows) {\n return false;\n }\n if(!streets.contains(street))\n streets.add(street);\n return true;\n }","public void addToList(String page,String line,String title)\r\n {\r\n\tString translatedTitle=title;\r\n\tString translatedLine=line;\r\n\r\n\tif(title.indexOf(\"&\")!=-1 && title.indexOf(\";\")==-1)\r\n\t{\r\n\t // Check for HTML special characters . Eg:- " ç etc.\r\n\t translatedTitle=translateSpecialChars(title);\r\n\t}\r\n\tif(line.indexOf(\"&\")!=-1 && line.indexOf(\";\")==-1)\r\n\t{\r\n\t translatedLine=translateSpecialChars(line);\r\n\t}\r\n\tresultsArea.addItem(\"Title:\\\" \"+translatedTitle+\"\\\" Text: \"+translatedLine);\r\n\tpageMatch.addElement(page);\r\n }","public void addLink(AtomLink link) {\n if(!links.contains(link)) {\n \tthis.links.add(link);\n }\n }","private List<String> getOfferPagesLinks(Document document) {\n return document.select(\"div[class=product-image loaded] > a[href]\").eachAttr(\"abs:href\");\n }","@Override\n\tpublic Pool addPage(Page page, Pool pool) {\n\t\tBoolean added = false;\n\t\tclockwise = 0;\n\t\t\n\t\tpage.flag = 1;\n\t\tif ( pool.slots.size() < size) {\n\t\t\twhile (clockwise < pool.slots.size()) { \n\t\t\t\tif(pool.slots.get(clockwise).flag != 0 )\n\t\t\t\t\tpool.slots.get(clockwise).flag = 0;\n\t\t\t\telse {\n\t\t\t\t\tpool.slots.set(clockwise, page);\n\t\t\t\t\tpool.addMiss();\n\t\t\t\t\tadded = true;\n\t\t\t\t}\n\t\t\t\tclockwise++;\n\t\t\t}\n\t\t\tclockwise = clockwise % size;\n\t\t\tif (!added ) {\n\t\t\t\tSystem.out.println(clockwise);\n\t\t\t\tpool.slots.add(page);\n\t\t\t\tpool.addMiss();\n\t\t\t\tadded = true;\n\t\t\t}\n\t\t\t\n\t\t}\n\t\telse if( !added ) {\n\t\t\twhile(pool.slots.get(clockwise).flag != 0) {\n\t\t\t\tpool.slots.get(clockwise).flag = 0;\n\t\t\t\tclockwise++;\n\t\t\t\tclockwise = clockwise % size;\n\t\t\t}\n\t\t\tpool.slots.set(clockwise, page);\n\t\t\tpool.addMiss();\n\t\t\tadded = true;\n\t\t}\n\t\t\n\t\treturn pool;\n\t}","public boolean addLink(arc link) {\r\n\t\tif (link.getStartNode()==this) \r\n\t\t\toutcoming.add(link);\r\n\t\telse if (link.getEndNode()==this) \r\n\t\t\tincoming.add(link);\r\n\t\telse \r\n\t\t\treturn false;\r\n\t\treturn true;\r\n\t}","public void addChildLink(String page_id, Vector<String> child_ids) throws IOException \n\t{\n\t\tVector<String> children;\n\t\tif(childLink.getEntry(page_id)==null) \n\t\t{\n\t\t\tchildren = child_ids;\n\t\t}else{\n\t\t\tchildren = (Vector<String>) childLink.getEntry(page_id);\n\t\t\tchildren.addAll(child_ids);\n\t\t\tCollection noDup = new LinkedHashSet(children);\n\t\t\tchildren.clear();\n\t\t\tchildren.addAll(noDup);\n\t\t}\n\t\tchildLink.addEntry(page_id, children);\n\t}","@Override\n public boolean equals(Object object) {\n if (!(object instanceof Pages)) {\n return false;\n }\n Pages other = (Pages) object;\n if ((this.pageId == null && other.pageId != null) || (this.pageId != null && !this.pageId.equals(other.pageId))) {\n return false;\n }\n return true;\n }","public void setOutLinks(List<Link> links) {\r\n outLinks = links;\r\n }","@Override\n\tpublic void process(Page page) {\n\t\tDocument doc = Jsoup.parse(page.getHtml().getFirstSourceText());\n\n\t\tif (isFirst) {\n\t\t\tSystem.out.println(\"添加所有列表链接\");\n\t\t\tArrayList<String> urls = new ArrayList<String>();\n\t\t\t// 33\n\t\t\tfor (int i = 2; i < 30; i++) {\n\t\t\t\turls.add(\"http://zyjy.jiangmen.gov.cn//szqjszbgg/index_\" + i + \".htm\");\n\t\t\t}\n\t\t\tpage.addTargetRequests(urls);\n\t\t\tSystem.out.println(\"这一页一共有 \" + urls.size() + \" 条数据\");\n\n\t\t\tisFirst = false;\n\t\t}\n\n\t\tif (page.getUrl().regex(URL_LIST).match() || page.getUrl().toString().trim().equals(url)) {\n\t\t\tSystem.out.println(\"获取列表数据\");\n\n\t\t\tElements uls = doc.getElementsByAttributeValue(\"class\", \"c1-bline\");\n\t\t\tfor (Element ul : uls) {\n\t\t\t\tString url = ul.getElementsByAttributeValue(\"class\", \"f-left\").get(0).select(\"a\").attr(\"href\").trim();\n\t\t\t\tString title = ul.getElementsByAttributeValue(\"class\", \"f-left\").get(0).text();\n\t\t\t\tString data = ul.getElementsByAttributeValue(\"class\", \"f-right\").get(0).text();\n\t\t\t\tCacheHashMap.cache.put(url, title + \"###\" + data);\n\t\t\t\tMyUtils.addRequestToPage(page, url);\n\t\t\t\tSystem.out.println(url + \" \" + CacheHashMap.cache.get(url));\n\t\t\t}\n\n\t\t}\n\t\tif (page.getUrl().regex(URL_DETAILS).match()) {\n\n\t\t\tProject project = new Project();\n\t\t\tStringBuffer project_article = new StringBuffer();\n\n\t\t\tString urldetails = CacheHashMap.cache.get(page.getUrl().toString().trim());\n\t\t\tSystem.out.println(\"url\" + page.getUrl().toString().trim());\n\t\t\tSystem.out.println(\"urldetails \" + urldetails);\n\n\t\t\tString[] value = urldetails.split(\"###\");\n\t\t\tif (value != null && value.length > 1) {\n\t\t\t\tproject.setProjectName(value[0]);\n\t\t\t\tproject.setPublicStart(value[1]);\n\t\t\t}\n\n\t\t\tElements divs = doc.getElementsByAttributeValue(\"class\", \"contlist minheight\");\n\t\t\tfor (Element div : divs.get(0).children()) {\n\t\t\t\tif (div.nodeName().equals(\"table\")) {\n\t\t\t\t\tElements trs = divs.select(\"tbody\").select(\"tr\");\n\t\t\t\t\tfor (Element tr : trs) {\n\t\t\t\t\t\tproject_article.append(tr.text()).append(\"\\n\");\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tproject_article.append(div.text()).append(\"\\n\");\n\n\t\t\t\t}\n\t\t\t}\n\t\t\tproject.setUrl(page.getUrl().toString().trim());\n\t\t\tproject.setState(0);\n\t\t\tproject.setWebsiteType(\"江门市\");\n\t\t\tproject.setTime(MyUtils.getcurentTime());\n\t\t\tproject.setRawHtml(divs.toString());\n\n\t\t\tproject.setArticle(project_article.toString());\n\t\t\tSystem.out.println(project);\n\n\t\t\tHibernateUtil.save2Hibernate(project);\n\n\t\t}\n\n\t}","void nextPage() throws IndexOutOfBoundsException;","private void pageContent( String url) {\n\t\t\n\t\tif ( !url.matches(URL)) {\n\t\t\treturn;\n\t\t}\n\t\t\n\t\tList<String> outlinks = null; // out link urls\n\t\tUrlBean bean = null; // basic info of the url\n\t\t\n\t\tbean = new UrlBean();\n\t\ttry {\n\t\t\t\n\t\t\tconn = Jsoup.connect(url).timeout(5000);\n\t\t\tif ( conn == null) {\n\t\t\t\treturn ;\n\t\t\t}\n\t\t\t\n\t\t\tdocument = conn.get(); // 得到网页源代码，超时时间是5秒\n\t\t\t\n\t\t\t/*\n\t\t\t * 文章基本信息\n\t\t\t */\n\t\t\telements = document.getElementsByTag(\"title\");\n\t\t\tif ( elements!= null && elements.size() != 0) {\n\t\t\t\telement = elements.get(0);\n\t\t\t}\n\t\t\tString title = element.text();\n\t\t\tbean.setTitle(title);\n\t\t\tbean.setKeywords(title);\n\t\t\t\n\t\t\telements = document.getElementsByTag(\"a\");\n\t\t\tif ( elements != null) {\n\t\t\t\tString linkUrl = null;\n\t\t\t\toutlinks = new ArrayList<String>();\n\t\t\t\tfor ( int i = 0; i < elements.size(); i++) {\n\t\t\t\t\tlinkUrl = elements.get(i).attr(\"href\");\n\t\t\t\t\tif ( linkUrl.matches(URL)) {\n\t\t\t\t\t\toutlinks.add(linkUrl);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t\treturn;\n\t\t} \n\t\t\n\t\tbean.setUrl(url);\n\t\tbean.setId(urlId++);\n\t\tbean.setRank(1);\n\t\tif ( outlinks != null) {\n\t\t\tint count = outlinks.size();\n\t\t\tbean.setOutlinks(count);\n\t\t\tfor ( int i = 0; i < count; i++) {\n\t\t\t\turlsSet.add(outlinks.get(i));\n\t\t\t}\n\t\t\tif ( new AllInterface().addOneUrlInfo(bean, outlinks)) {\n\t\t\t\tSystem.out.println(\"Add to database successfully, url is '\" + url + \"'.\");\n\t\t\t} else {\n\t\t\t\tSystem.out.println(\"Fail to add to database, maybe url exists. Url is '\" + url + \"'.\");\n\t\t\t}\n\t\t\tSystem.out.println(\"[\" + count + \" urls remain...]\");\n\t\t\tSystem.out.println();\n\t\t} else {\n\t\t\tSystem.out.println(\"Error occurs in crawl, url is '\" + url + \"'.\");\n\t\t\tSystem.out.println(\"[[FINISHED]]\");\n\t\t\tSystem.out.println();\n\t\t}\n\t\t\n\t}","public void setPages(String pages) {\n this.pages = pages == null ? null : pages.trim();\n }","Collection<PageLink> crawl(CrawlerArgs args);","public void onPagesAdded(List<Integer> pageList) {\n/* 592 */ if (pageList == null || pageList.size() == 0 || !this.mPdfViewCtrl.isUndoRedoEnabled()) {\n/* */ return;\n/* */ }\n/* */ \n/* */ try {\n/* 597 */ JSONObject jsonObj = new JSONObject();\n/* 598 */ if (this.mContext != null) {\n/* 599 */ String strPageAdd = this.mContext.getResources().getString(R.string.undo_redo_page_add);\n/* 600 */ jsonObj.put(\"Action\", strPageAdd);\n/* */ } \n/* 602 */ jsonObj.put(\"Action event\", \"add_pages\");\n/* 603 */ jsonObj.put(\"Pages\", convertPageListToString(pageList));\n/* */ \n/* 605 */ if (Utils.isNullOrEmpty(jsonObj.toString())) {\n/* 606 */ AnalyticsHandlerAdapter.getInstance().sendException(new Exception(\"takeUndoSnapshot with an empty string\"));\n/* */ }\n/* */ \n/* 609 */ takeUndoSnapshot(jsonObj.toString());\n/* 610 */ if (sDebug)\n/* 611 */ Log.d(TAG, \"snapshot: \" + jsonObj.toString()); \n/* 612 */ } catch (Exception e) {\n/* 613 */ AnalyticsHandlerAdapter.getInstance().sendException(e);\n/* */ } \n/* */ }","void storeLinks();","private void parseHRefs (URL page, String name, URL base) throws IOException {\n Reader r = source.getReader (page);\n URL[] refs = ParseURLs.parse (r, page);\n \n String b = base.toExternalForm();\n for (int i = 0; i < refs.length; i++) {\n String e = refs[i].toExternalForm ();\n int hash = e.indexOf ('#');\n if (hash >= 0) {\n e = e.substring (0, hash);\n }\n if (e.startsWith (b)) {\n String s = e.substring (b.length ());\n Collection c = (Collection)deps.get (name);\n if (c == null) {\n c = new ArrayList ();\n deps.put (name, c);\n }\n c.add (s.intern ());\n }\n }\n r.close (); \n }","public void addlink(TparselinksEntity newlink);","@Test\n public void getListingsPages_3() throws IOException {\n List<String> listingsPages = imobiParser.getListingPages(TEST_URL_PAGINATION_ABSENT);\n\n Assert.assertThat(listingsPages, notNullValue());\n Assert.assertThat(listingsPages.size(), is(1));\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_ABSENT.replaceFirst(\"\\\\{pageNumber\\\\}\", String.valueOf(1)))));\n }","@Override\r\n\tpublic void setUserStartPages(List userStartPages) {\r\n\r\n\t\tthis.matchedPages = new Hashtable();\r\n\t\tthis.startPages = new Hashtable();\r\n\r\n\t\tString currentPattern;\r\n\t\tfor (int i = 0; i < userStartPages.size(); i++) {\r\n\r\n\t\t\tcurrentPattern = (String) userStartPages.get(i);\r\n\t\t\tthis.startPages.put(currentPattern, Pattern.compile(currentPattern));\r\n\t\t}\r\n\t}","public void setPages(int pages) {\n this.pages = pages;\n }","public void addFilterToReferencedLink(ViewerFilter filter);","@Override\n\tpublic void process(Page page){\n\n\t CollectTemplate collectTemplate = templateService.getCollectTemplateById(templateId);\n\t String currentUrl=page.getUrl().toString();\n\t String nextUrlXpath=collectTemplate.getNextUrlXpath();\n \tString contentUrlXpath=collectTemplate.getContentUrlXpath();\n \tString listUrlRegex=collectTemplate.getListUrlRegex();\n \tString contentUrlRegex=collectTemplate.getContentUrlRegex();\n \tList<CollectTemplateField> fields=collectTemplate.getFields();\n \ttry {\n\t \t\t\n\t \tHtml currentHtml= page.getHtml();\n\n\t\t\t//判断是否是列表页\n\t if (currentUrl.matches(listUrlRegex)) {\n\n\t\t\t\t//处理列表页\n\t\t\t\tString nextPageUrl=\"\";\n\t\t\t\ttry{\n\t\t\t\t\tnextPageUrl=currentHtml.xpath(nextUrlXpath).toString();\n\t\t\t\t\tif (nextPageUrl==null||StringUtils.isEmpty(nextPageUrl)){\n\t\t\t\t\t\tthrow new Exception();\n\t\t\t\t\t}\n\t\t\t\t}catch (Exception e){\n\t\t\t\t\tXpath2Selector xpath2Selector = new Xpath2Selector(nextUrlXpath);\n\t\t\t\t\tnextPageUrl = xpath2Selector.select(page.getRawText());\n\n\t\t\t\t\tif (nextPageUrl!=null&&nextPageUrl.startsWith(\"/\")){\n\t\t\t\t\t\tnextPageUrl = \"http://\"+site.getDomain()+nextPageUrl;\n\t\t\t\t\t}\n\n\n\t\t\t\t}\n\n\t \tif (StringUtils.isNotEmpty(nextPageUrl)) {\n\n\t \t\tRequest request=new Request();\n\t \t\trequest.setUrl(nextPageUrl);\n\t \t\trequest.setPriority(-1);\n\t \t\t\n\t \t\tpage.addTargetRequest(request);\n\n\t \t\tlogService.info(projectId,\"get the next page link \"+nextPageUrl+\" and add it to the queue\");\n\n\t\t\t\t}else{\n\t\t\t\t\tlogService.warn(projectId,\"fail to get the next page link\");\n\n\t\t\t\t}\n\t \tList<String> detailPagesUrl;\n\t \ttry{\n\t\t\t\t\tdetailPagesUrl = currentHtml.xpath(contentUrlXpath).all();\n\n\t\t\t\t}catch (Exception e){\n\n\t\t\t\t\tXpath2Selector xpath2Selector2 = new Xpath2Selector(contentUrlXpath);\n\t\t\t\t\tdetailPagesUrl = xpath2Selector2.selectList(currentHtml.getDocument().text());\n\t\t\t\t}\n\n\n\n\t \tif (detailPagesUrl!=null&&detailPagesUrl.size()!=0) {\n\t\t\t\t\t//添加详情页\n\t\t\t\t\tpage.addTargetRequests(detailPagesUrl, 1);\n\n\t\t\t\t\tlogService.info(projectId,\"get \"+detailPagesUrl.size()+\" detail pages\");\n\t\t\t\t}else{\n\t\t\t\t\tlogService.warn(projectId,\"fail to get detail page\");\n\n\t\t\t\t}\n\t\t\t}else if (StringUtils.isEmpty(contentUrlRegex)||currentUrl.matches(contentUrlRegex)) {\n\t \t//处理详情页\n\t\t\t\tcontentPageProcessService.setProjectId(projectId);\n\t\t\t\tcontentPageProcessService.progressContentPage(page,fields);\n\t\t\t}\n\t \t} catch (Exception e) {\n\t\t\t\tSystem.out.println(e);\n\t\t\t}\n\t \n\t }"],"string":"[\n \"public abstract void addCustomPages();\",\n \"public void resolvePageReferences()\\n{\\n int count = _pages.size();\\n while(count-- > 0)\\n getPage(count).resolvePageReferences(this);\\n}\",\n \"private void goThroughLinks() throws IOException {\\n for (URL link :links) {\\n pagesVisited++;\\n Node node;\\n if (link.toString().contains(\\\"?id=1\\\") && !books.contains(link)) {\\n node = populateNode(link);\\n depth = 2;\\n books.add(node);\\n } else if (link.toString().contains(\\\"?id=2\\\") && !movies.contains(link)) {\\n node = populateNode(link);\\n depth = 2;\\n movies.add(node);\\n } else if (link.toString().contains(\\\"?id=3\\\") && !music.contains(link)) {\\n node = populateNode(link);\\n depth = 2;\\n music.add(node);\\n }\\n }\\n }\",\n \"public static void AddUrls (List<String> links) {\\n\\t for(String LoopedLinks:links) { \\n\\t\\n\\t\\t//if page isn't part of domain, ignore\\n\\t\\t if (LoopedLinks.startsWith(variables.domain)) {\\n\\t\\n\\t\\t\\t //if page doesn't have an octothorpe\\n\\t\\t\\t if (!LoopedLinks.contains(\\\"#\\\")) {\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t //if page doesn't ends with one of the file extensions to not use\\n\\t\\t\\t\\t String extension = getExtension(LoopedLinks);//gets file extension from URL\\n\\t\\t\\t\\t if(!variables.list.stream().anyMatch(extension::contains)) {\\n\\n\\t\\t\\t\\t\\t //if link isn't already part of master list, add it.\\n\\t\\t\\t\\t\\t if(!variables.master.contains(LoopedLinks)) {\\n\\t\\t\\t\\t\\t\\t Reporter.log(\\\"Adding to master list \\\"+LoopedLinks, variables.verboseReport);\\n\\t\\t\\t\\t\\t\\t variables.master.add(LoopedLinks);\\n\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t }\\n\\t\\t\\t }\\n\\t\\t }\\n\\t }\\n\\t}\",\n \"public void addPage(PDFPage aPage) { _pages.add(aPage); }\",\n \"public void addPages() {\\t\\t\\n\\t\\tpage1 = new Opera2ActionsTransformationWizardPage1(selection, operaModel);\\n\\t\\taddPage(page1);\\t\\n\\t}\",\n \"public boolean addAll(Link<T> link);\",\n \"public void resolvePageReferences()\\n {\\n int count = _pages.size();\\n while (count-- > 0)\\n getPage(count).resolvePageReferences(this);\\n }\",\n \"public void addPage(int newPage) {\\r\\n\\t\\tpage.addAtTail(newPage);\\r\\n\\t}\",\n \"boolean checkAlreadyFound(String page)\\r\\n {\\r\\n if(pageNames.size()==0)\\r\\n\\t return false;\\r\\n \\r\\n\\t// Check this is a new one.\\r\\n\\tfor(int i=1;i<pageNames.size();i++)\\r\\n\\t{\\r\\n\\t String pageName=(String)pageNames.elementAt(i);\\r\\n\\t if(pageName.equalsIgnoreCase(page))\\r\\n\\t return(true);\\r\\n\\t}\\r\\n\\treturn(false);\\r\\n }\",\n \"List<? extends Page> getPages();\",\n \"void queueInternalLinks(Elements paragraphs) {\\n // FILL THIS IN!\\n\\t\\tfor(Element paragraph: paragraphs)\\n\\t\\t{\\n\\t\\t\\tIterable<Node> iterator = new WikiNodeIterable(paragraph);\\n\\t\\t\\tfor(Node node: iterator)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif(node instanceof Element)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tString link = node.attr(\\\"href\\\");\\n\\t\\t\\t\\t\\tif(link.startsWith(\\\"/wiki/\\\"))\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\tqueue.add(\\\"https://en.wikipedia.org\\\" + ((Element)node).attr(\\\"href\\\"));\\t\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public ScoreboardHandler addPages(ScoreboardPage... pages)\\n {\\n this.pages.addAll(Arrays.asList(pages));\\n\\n return this;\\n }\",\n \"private void appendPages(ArrayList<IPage> pages, Element parentElement) {\\r\\n // iterate over every page in List\\r\\n for (IPage page : pages) {\\r\\n // create element document for page and set attributes\\r\\n Element pageElement = document.createElement(PAGE_TAG_NAME);\\r\\n \\r\\n Set<EvoAttribute> pageAttributeSet = page.getPageAttributeSet();\\r\\n for(EvoAttribute pageAttribute : pageAttributeSet){\\r\\n \\tif(pageAttribute.isUsed()){\\r\\n \\t\\tString pageAttributeName = pageAttribute.getAttributeName();\\r\\n \\t\\tString pageAttributeValue = pageAttribute.getAttributeValue();\\r\\n \\t\\t//Empty attributes are printed\\r\\n \\t\\tpageElement.setAttribute(pageAttributeName, pageAttributeValue);\\r\\n \\t} \\t\\r\\n }\\r\\n \\r\\n for(IPageResource pageResource : page.getPageResources()){\\r\\n \\tif(pageResource.isUsed()){\\r\\n \\t\\tElement element = document.createElement(pageResource.getName());\\r\\n\\r\\n String pathIdentifier = pageResource.getExternalFileLocationAttributeName();\\r\\n\\r\\n \\t\\tSet<EvoAttribute> resourceAttributeSet = pageResource.getAttributeSet();\\r\\n \\t\\tfor(EvoAttribute resourceAttribute : resourceAttributeSet){\\r\\n \\t\\t\\tString pageAttributeName = resourceAttribute.getAttributeName();\\r\\n \\t\\tString pageAttributeValue = resourceAttribute.getAttributeValue();\\r\\n \\t\\tif(resourceAttribute.isUsed()){\\r\\n\\t \\t\\t\\tif(pathIdentifier.equalsIgnoreCase(pageAttributeName)){\\r\\n //Empty attributes are NOT printed\\r\\n if(!pageAttributeValue.isEmpty()){\\r\\n resources.add(pageAttributeValue);\\r\\n File f = new File(pageAttributeValue);\\r\\n pageAttributeValue = \\\"resources\\\" + File.separator + f.getName();\\r\\n }\\r\\n\\t \\t\\t\\t}\\r\\n element.setAttribute(pageAttributeName, pageAttributeValue);\\r\\n \\t\\t}\\r\\n \\t\\t}\\r\\n \\t\\tif(pageResource.canHaveContent()){\\r\\n \\t\\t\\telement.appendChild(document.createTextNode(pageResource.getContent()));\\r\\n \\t\\t}\\r\\n \\t\\tpageElement.appendChild(element);\\r\\n \\t}\\r\\n }\\r\\n\\r\\n // if page has subpages iterate through every one of them\\r\\n ArrayList<IPage> childPages = gallery.getChildPageList(page.getId());\\r\\n if (childPages.size() != 0) {\\r\\n appendPages(childPages, pageElement);\\r\\n }\\r\\n // if page don't have subpages append page node to parent node\\r\\n parentElement.appendChild(pageElement);\\r\\n }\\r\\n }\",\n \"public void addInlink(String url) {\\r\\n\\t\\tif (!inlinks.contains(url)) {\\r\\n\\t\\t\\tinlinks.add(url);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"private void getLinks(Page page, Element content, boolean withConnection) throws JSONException, SQLException {\\n\\t\\tString pageTitle = page.getTitle();\\n\\t\\tString pageId = String.valueOf(page.getPageId());\\n\\t\\tElements links = content.select(\\\"a[href]\\\");\\n\\t\\tPageApi pa = new PageApi();\\n\\t\\tfor (Iterator<Element> iterator = links.iterator(); iterator.hasNext();) {\\n\\t\\t\\tElement element = iterator.next();\\n\\t\\t\\tString link = element.attr(\\\"href\\\");\\n\\t\\t\\t/**\\n\\t\\t\\t * It has to be an internal wikipedia link\\n\\t\\t\\t */\\n\\t\\t\\tif (link.startsWith(\\\"/wiki/\\\")) {\\n\\t\\t\\t\\t/**\\n\\t\\t\\t\\t * Ignore unrelevant links\\n\\t\\t\\t\\t */\\n\\t\\t\\t\\tif (link.startsWith(\\\"/wiki/Category:\\\") || link.startsWith(\\\"/wiki/Special:\\\")\\n\\t\\t\\t\\t\\t\\t|| link.startsWith(\\\"/wiki/Wikipedia:\\\") || link.startsWith(\\\"/wiki/Help:\\\")\\n\\t\\t\\t\\t\\t\\t|| link.startsWith(\\\"/wiki/Template:\\\") || link.startsWith(\\\"/wiki/Portal:\\\")\\n\\t\\t\\t\\t\\t\\t|| link.startsWith(\\\"/wiki/Talk:\\\") || link.startsWith(\\\"/wiki/\\\" + pageTitle + \\\":\\\")\\n\\t\\t\\t\\t\\t\\t|| link.startsWith(\\\"/wiki/File:\\\") || link.startsWith(\\\"/wiki/Template_talk:\\\")) {\\n\\t\\t\\t\\t\\tcontinue;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tlink = link.replace(\\\"/wiki/\\\", \\\"\\\");\\n\\t\\t\\t\\tPage character = pa.getPageInfoForTitle(link);\\n\\t\\t\\t\\tif (withConnection) {\\n\\t\\t\\t\\t\\tif (tempList.contains(character.getPageId())) {\\n\\t\\t\\t\\t\\t\\tpersistConnection(pageId, character);\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\telse {\\n\\t\\t\\t\\t\\tpersistCharacter(pageId, character);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"List<Item<T>> addItemsForPage(final long page);\",\n \"public void addPages() {\\n\\t\\tpage = new NewTotoriWizardPage(selection);\\n\\t\\taddPage(page);\\n\\t}\",\n \"private void hookLinks(long offleft,long offright){\\n\\t\\tlinks.clear();\\n\\t\\tlinks.add(offleft);\\n\\t\\tlinks.add(offright);\\n\\t}\",\n \"public void addAllOnVisibleLinks() {\\n // Check for a valid render context and create the new set\\n RTGraphComponent.RenderContext myrc = (RTGraphComponent.RenderContext) getRTComponent().rc; if (myrc == null) return;\\n Set<Bundle> set = new HashSet<Bundle>();\\n // Go through visible links and find the related bundles\\n Iterator<String> it = myrc.graphedgeref_to_link.keySet().iterator();\\n while (it.hasNext()) {\\n String graphedgeref = it.next();\\n Iterator<Bundle> itb = digraph.linkRefIterator(graphedgeref);\\n while (itb.hasNext()) set.add(itb.next());\\n }\\n // Add the no mapping set and push it to the RTParent\\n set.addAll(getRTComponent().getNoMappingSet()); getRTParent().push(getRTParent().getRootBundles().subset(set));\\n }\",\n \"private void pullLinks(String htmlPage) {\\n\\n Document doc = Jsoup.parse(htmlPage);\\n Elements links = doc.select(\\\"a[href]\\\");\\n\\n for (Element link : links) {\\n\\n String possibleUrl = link.attr(\\\"abs:href\\\");\\n\\n if (!possibleUrl.equals(\\\"\\\")) {\\n// Log.v(\\\"pullLinks\\\", \\\" will try to make URL from\\\" + possibleUrl);\\n //if the link attr isn't empty, make a URL\\n URL theUrl = NetworkUtils.makeURL(possibleUrl);\\n\\n if (RegexUtils.urlDomainNameMatch(firstLinkAsString, theUrl.toString())) {\\n //if the string version of url is within the same domain as original query\\n if (!visitedLinks.contains(theUrl.toString())) {\\n// Log.v(\\\"DLAsyncTask.pullLinks\\\", \\\" thinks that \\\" + theUrl.toString() + \\\" wasn't visited, add into collected...\\\");\\n collectedLinks.add(theUrl.toString());\\n }\\n }\\n }\\n\\n }\\n }\",\n \"public void dfs(Webpage currentPage) {\\n if (currentPage != null) {\\n //System.out.println(currentPage.toString());\\n linkDatabase.add(currentPage.getUrl());\\n webpageDatabase.add(currentPage);\\n\\n for (String link : currentPage.getLinks()) {\\n if (!linkDatabase.contains(link)) {\\n dfs(webpageScraper.fetchWebpage(link));\\n }\\n }\\n }\\n }\",\n \"public static Set<String> parsePage(Document doc){\\n\\t\\ttry{\\n\\t\\t\\tElements links = doc.select(\\\"a[href]\\\");\\n\\t\\t\\tSet<String> pageLinks = new HashSet<String>();\\n\\t\\t\\tfor(Element link : links){\\n\\t\\t\\t\\tpageLinks.add(link.attr(\\\"abs:href\\\"));\\n\\t\\t\\t}\\n\\t\\t\\treturn pageLinks;\\n\\t\\t}catch(Exception err){\\n\\t\\t\\terr.printStackTrace();\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\t}\",\n \"@Override\\n\\tpublic void addPages() {\\n\\t\\tthis.mainPage = new SNLFilePage(this.workbench, this.selection);\\n\\t\\tthis.addPage(this.mainPage);\\n\\t}\",\n \"public static void testPhilosophy(String start, String end) {\\n\\t\\t\\t\\t\\t\\t String test = start;\\n\\t\\t\\t\\t\\t\\t\\t\\t for(int count = 0; i<50; i++)\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t if(done.contains(test)){\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t return; //duplicate links (loops)\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t else\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t done.add(test);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t }\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t Element link = getGoodLink(start);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t if(link == null) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t return; //no links on page\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t }\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t if (link.attr(\\\"abs:href\\\").equals(end)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t break; //matches philosophy page\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t }\",\n \"@Override\\r\\n\\tpublic boolean aggiungiPagine(ArrayList<PaginaWeb> a) {\\r\\n\\t\\tboolean x = false;\\r\\n\\t\\tif(a == null) return false;\\r\\n\\t\\tfor( PaginaWeb p : a ) { // Il metodo non richiama aggiungiPagina perche' il comportamento e' indefinito nel caso di dynamic binding.\\r\\n\\t\\t\\tif( p.getURL().stessoHost(urlBase) ) {\\r\\n\\t\\t\\t\\tif(super.aggiungiPagina(p))\\r\\n\\t\\t\\t\\t\\tx = true;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn x;\\r\\n\\t}\",\n \"Pages getPages();\",\n \"public void groupWebPageObjects(int addr, int port) {\\n\\t\\tfor(List<String> pkt : pkts) {\\n\\t\\t\\tif((!webPages.contains(pkt.get(addr))) && (pkt.get(port).equals(\\\"80\\\") || pkt.get(port).equals(\\\"443\\\"))) {\\n\\t\\t\\t\\twebPages.add(pkt.get(addr));\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t}\",\n \"private Set<String> findNewUrls(Document doc) {\\n Set<String> newUrlSet = new HashSet<>();\\n\\n for (Element ah : doc.select(\\\"a[href]\\\")) {\\n String href = ah.attr(\\\"abs:href\\\");\\n\\n if (!urlSet.contains(href) // Check if this is a new URL\\n && href.contains(domain) // Check if the URL is from the same domain\\n && isValidExtension(href) // Check that the file extension is not in the list of excluded extensions\\n && !href.contains(\\\"mailto:\\\") // Check that the href is not an email address\\n ) {\\n newUrlSet.add(href);\\n }\\n\\n }\\n\\n processNewUrls(newUrlSet);\\n return newUrlSet;\\n }\",\n \"@Test\\n\\tpublic void WebIndexAddTest() {\\n\\t\\tPage perfect = WebIndex.getPage(\\\"https://www.google.com\\\");\\n\\t\\tPage perfect2 = WebIndex.getPage(\\\"http://www.google.com\\\");\\n\\n\\t\\tWebIndex index = new WebIndex();\\n\\t\\tindex.add(\\\"google\\\", \\\"\\\", perfect);\\n\\t\\t\\n\\t\\t// check for different case\\n\\t\\tfor (Page p : index.getUrls(\\\"Google\\\"))\\n\\t\\t\\tassertEquals(p, perfect);\\n\\t\\t\\n\\n\\t\\tindex.add(\\\"Google\\\", \\\"\\\", perfect2);\\n\\t\\tboolean onFirst = true;\\n\\t\\tfor (Page p : index.getUrls(\\\"Google\\\"))\\n\\t\\t\\tif (onFirst) {\\n\\t\\t\\t\\tassertTrue(p.equals(perfect));\\n\\t\\t\\t\\tonFirst = false;\\n\\t\\t\\t}\\n\\t\\t\\telse\\n\\t\\t\\t\\tassertTrue(p.equals(perfect2));\\n\\t\\t\\n\\t}\",\n \"boolean hasPage(String page);\",\n \"public static void main(String[] args) throws IOException {\\n Deque<String> urlsToVisit = new ArrayDeque<String>();\\n // Keep track of which URLs we have visited, so we don't get ourselves stuck in a loop.\\n List<String> visitedUrls = new ArrayList<String>();\\n // Keep track of how we got to each page, so that we can find our trace back to the BEGIN_URL.\\n Hashtable<String, String> referrers = new Hashtable<String, String>();\\n boolean pathFound = false;\\n\\n // Begin with the BEGIN_URL\\n urlsToVisit.push(BEGIN_URL);\\n\\n while(!urlsToVisit.isEmpty() && !pathFound) {\\n String currentUrl = urlsToVisit.pop();\\n visitedUrls.add(currentUrl);\\n\\n Elements paragraphs = wf.fetchWikipedia(BASE_URL + currentUrl);\\n List<String> pageUrls = new ArrayList<String>();\\n\\n for (Element p : paragraphs) {\\n pageUrls.addAll(getLinksFromParagraph(p));\\n }\\n\\n // Reverse the order of all page urls so that when we're done pushing all the URLS\\n // to the stack, the first URL in the page will be the first URL in the current page.\\n Collections.reverse(pageUrls);\\n\\n // Add all the URLs to the list of URLs to visit.\\n for (String newUrl : pageUrls) {\\n if(!visitedUrls.contains(newUrl)) {\\n urlsToVisit.push(newUrl);\\n // Record how we ended up at newUrl.\\n referrers.put(newUrl, currentUrl);\\n\\n // Check if one of the links in this page is the END_URL; which means we'll be done!\\n if (newUrl.equals(END_URL)) {\\n pathFound = true;\\n }\\n }\\n }\\n }\\n\\n if (pathFound) {\\n System.out.println(\\\"=================\\\");\\n System.out.println(\\\"Path found!\\\");\\n System.out.println(\\\"=================\\\");\\n\\n // Back trace how we ended up at END_URL.\\n String backtraceUrl = END_URL;\\n System.out.println(backtraceUrl);\\n while(backtraceUrl != BEGIN_URL) {\\n String referrerUrl = referrers.get(backtraceUrl);\\n System.out.println(referrerUrl);\\n backtraceUrl = referrerUrl;\\n }\\n } else {\\n System.out.println(\\\"=================\\\");\\n System.out.println(\\\"No path found :(\\\");\\n System.out.println(\\\"=================\\\");\\n }\\n }\",\n \"void addLink(byte start, byte end);\",\n \"public void add(String word, String url) {\\n \\n // don't need to add this word if it's a stop word\\n for (String stopWord : Settings.getStopWords()) {\\n if (word.equalsIgnoreCase(stopWord)) return;\\n }\\n \\n // don't need to add this word if it's already in here\\n StringNode check = locate(word);\\n if (check != null) {\\n check.getPagesContainingWord().add(url);\\n return;\\n }\\n \\n // not a stop word, not present--need to add it\\n StringNode newNode = new StringNode(word, new URLLinkedList());\\n newNode.getPagesContainingWord().add(url);\\n if (first == null) { // if first is null, there's nothing in the list\\n first = newNode; // set first to this new node\\n newNode.getPagesContainingWord().add(url);\\n }\\n else { // first isn't null, so we want to find the correct place to put this new node\\n StringNode current = first;\\n // this barebones linked list is very inconvenient, so we have to make a special \\n // check for the first item in the list.\\n if (word.compareTo(current.getWord()) < 0) { // the word in the new node goes before the word in the first node\\n first = newNode; // now the new node is the first one\\n newNode.setNext(current); // and its next is the old first one\\n }\\n else if (!current.hasNext()) { // no next node, so this word goes after current\\n current.setNext(newNode);\\n }\\n else { // new node doesn't go before first, so check the rest of the list\\n boolean newNodePlaced = false;\\n StringNode previous;\\n while (current.hasNext() && !newNodePlaced) { \\n previous = current;\\n current = current.getNext(); // grab next node\\n if (word.compareTo(current.getWord()) < 0) { // new word goes before this one\\n// StringNode oldNext = current.getNext();\\n// current.setNext(newNode);\\n// newNode.setNext(oldNext);\\n// newNodePlaced = true;\\n previous.setNext(newNode);\\n newNode.setNext(current);\\n newNodePlaced = true;\\n }\\n }\\n if (!newNodePlaced) { // if we're here and haven't yet placed the node, it goes at the end\\n current.setNext(newNode);\\n }\\n }\\n }\\n size++;\\n }\",\n \"public void addPage(PDFPageWriter aPage)\\n {\\n _pages.add(aPage);\\n }\",\n \"@Override\\n public void addPages() {\\n super.addPages();\\n page1 = new NewReviewWizardPage();\\n addPage(page1);\\n }\",\n \"void onPagesAdded(List<Integer> pageList);\",\n \"public void refer(int page){\\n\\n if(!hashSet.contains(page)){\\n\\n if(deque.size() == Cache_Size){\\n int last = deque.removeLast();\\n hashSet.remove(last);\\n }\\n }\\n else{\\n /* The found page may not be always the last element, even if it's an\\n intermediate element that needs to be removed and added to the start\\n of the Queue */\\n deque.remove(page);\\n }\\n deque.push(page);\\n hashSet.add(page);\\n }\",\n \"public void incrementPages(String page)\\r\\n {\\r\\n // Check if page already Indexed.\\r\\n\\tif(checkAlreadyFound(page))\\r\\n\\t return;\\r\\n pageNames.addElement(page);\\r\\n\\t\\r\\n\\t// provide feedback to the user.\\r\\n\\tstatusArea.setText(\\\"Search Page: \\\"+pageNames.size());\\r\\n }\",\n \"@Test\\n public void getListingsPages_2() throws IOException {\\n List<String> listingsPages = imobiParser.getListingPages(TEST_URL_PAGINATION_2);\\n\\n Assert.assertThat(listingsPages, notNullValue());\\n Assert.assertThat(listingsPages.size(), is(16));\\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_2.replaceFirst(\\\"\\\\\\\\{pageNumber\\\\\\\\}\\\", String.valueOf(1)))));\\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_2.replaceFirst(\\\"\\\\\\\\{pageNumber\\\\\\\\}\\\", String.valueOf(5)))));\\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_2.replaceFirst(\\\"\\\\\\\\{pageNumber\\\\\\\\}\\\", String.valueOf(10)))));\\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_2.replaceFirst(\\\"\\\\\\\\{pageNumber\\\\\\\\}\\\", String.valueOf(16)))));\\n }\",\n \"private ArrayList<Integer> getPageLinks() {\\n int numberOfPages = sqlData.getNumberOfPages();\\n\\n int n = (pageNumInt / numberOfPages);\\n Integer startPage = n * numberOfPages;\\n\\n ArrayList<Integer> pageLinks = new ArrayList<Integer>();\\n\\n // iterate and add to the array\\n for(int i=0; i < numberOfPages; i++) {\\n pageLinks.add(++startPage); \\n }\\n\\n return pageLinks;\\n \\n }\",\n \"void addHasInstitutionHomePage(Object newHasInstitutionHomePage);\",\n \"public Map<String, Map<String, Boolean>> containExternalLinks(Map<String, List<String>> data) throws IOException\\n {\\n List<List<String>> pagelinks = wiki.getExternalLinksOnPage(new ArrayList<>(data.keySet()));\\n int counter = 0;\\n Map<String, Map<String, Boolean>> ret = new HashMap<>();\\n for (Map.Entry<String, List<String>> entry : data.entrySet())\\n { \\n List<String> addedlinks = entry.getValue();\\n List<String> currentlinks = pagelinks.get(counter);\\n Map<String, Boolean> stillthere = new HashMap<>();\\n for (int i = 0; i < addedlinks.size(); i++)\\n {\\n String url = addedlinks.get(i);\\n stillthere.put(url, currentlinks.contains(url));\\n }\\n ret.put(entry.getKey(), stillthere);\\n counter++;\\n }\\n return ret;\\n }\",\n \"public int addPageIndex(URL url, String urlHash, Date urlModified, int size, plasmaParserDocument document, plasmaCondenser condenser, String language, char doctype, int outlinksSame, int outlinksOther) {\\n Iterator i = condenser.words();\\r\\n Map.Entry wentry;\\r\\n String word;\\r\\n indexRWIEntry ientry;\\r\\n plasmaCondenser.wordStatProp wprop;\\r\\n String wordHash;\\r\\n int urlLength = url.toString().length();\\r\\n int urlComps = htmlFilterContentScraper.urlComps(url.toString()).length;\\r\\n \\r\\n while (i.hasNext()) {\\r\\n wentry = (Map.Entry) i.next();\\r\\n word = (String) wentry.getKey();\\r\\n wprop = (plasmaCondenser.wordStatProp) wentry.getValue();\\r\\n // if ((s.length() > 4) && (c > 1)) System.out.println(\\\"# \\\" + s + \\\":\\\" + c);\\r\\n wordHash = plasmaURL.word2hash(word);\\r\\n ientry = newRWIEntry(urlHash,\\r\\n urlLength, urlComps, (document == null) ? urlLength : document.getMainLongTitle().length(),\\r\\n wprop.count,\\r\\n condenser.RESULT_SIMI_WORDS,\\r\\n condenser.RESULT_SIMI_SENTENCES,\\r\\n wprop.posInText,\\r\\n wprop.posInPhrase,\\r\\n wprop.numOfPhrase,\\r\\n 0,\\r\\n size,\\r\\n urlModified.getTime(),\\r\\n System.currentTimeMillis(),\\r\\n condenser.RESULT_WORD_ENTROPHY,\\r\\n language,\\r\\n doctype,\\r\\n outlinksSame, outlinksOther,\\r\\n true);\\r\\n addEntry(wordHash, ientry, System.currentTimeMillis(), false);\\r\\n }\\r\\n // System.out.println(\\\"DEBUG: plasmaSearch.addPageIndex: added \\\" +\\r\\n // condenser.getWords().size() + \\\" words, flushed \\\" + c + \\\" entries\\\");\\r\\n return condenser.RESULT_SIMI_WORDS;\\r\\n }\",\n \"public void addPage(PdfPage page) {\\n this.pages.add(page);\\n }\",\n \"@SuppressWarnings(\\\"unused\\\")\\n public void addLinks(Link... links) {\\n for (Link link : links) {\\n this.links.put(link.getRel(), new HalLink(link.getUri().toString()));\\n }\\n }\",\n \"public Link add(Link link);\",\n \"@Override\\n public boolean shouldVisit(Page referringPage, WebURL url) {\\n\\t String href = url.getURL();\\n\\t allUrlsObject.visitAllUrls(referringPage,url);\\n\\t // to keep track of all the urls extracted\\n\\t urlsExtracted++;\\n\\t uniqueUrlsExtracted.add(href);\\n\\t return href.startsWith(\\\"http://www.nytimes.com/\\\");\\n}\",\n \"@Override\\n\\tpublic void setTargetListTwo(Page page, HttpServletRequest request) {\\n\\t\\t\\n\\t}\",\n \"private void searchNext(CrawlingSession executor, Link link) {\\n HTMLLinkExtractor htmlLinkExtractor = HTMLLinkExtractor.getInstance();\\n// htmlLinkExtractor.setWorking(link);\\n \\n Source source = CrawlingSources.getInstance().getSource(link.getSourceFullName());\\n if(source == null) return;\\n \\n SessionStore store = SessionStores.getStore(source.getCodeName());\\n if(store == null) return;\\n\\n List<Link> collection = htmlLinkExtractor.getLinks(link, /*link.getSource(),*/ pagePaths);\\n// List<Link> collection = htmlLinkExtractor.getLinks(srResource);\\n List<Link> nextLinks = createNextLink(link, collection);\\n if(nextLinks.size() < 1) return;\\n if(userPaths == null && contentPaths == null) {\\n executor.addElement(nextLinks, link.getSourceFullName());\\n return;\\n }\\n \\n \\n if(nextLinks.size() < 2) {\\n executor.addElement(nextLinks, link.getSourceFullName());\\n }\\n \\n// long start = System.currentTimeMillis();\\n \\n int [] posts = new int[nextLinks.size()];\\n for(int i = 0; i < nextLinks.size(); i++) {\\n try {\\n posts[i] = PageDownloadedTracker.searchCode(nextLinks.get(i), true);\\n } catch (Throwable e) {\\n posts[i] = -1;\\n LogService.getInstance().setThrowable(link.getSourceFullName(), e);\\n// executor.abortSession();\\n// return;\\n }\\n }\\n \\n int max = 1;\\n for(int i = 0; i < posts.length; i++) {\\n if(posts[i] > max) max = posts[i];\\n }\\n \\n// System.out.println(\\\" thay max post la \\\"+ max);\\n \\n List<Link> updateLinks = new ArrayList<Link>();\\n for(int i = 0; i < posts.length; i++) {\\n if(posts[i] >= max) continue;\\n updateLinks.add(nextLinks.get(i));\\n }\\n \\n// long end = System.currentTimeMillis();\\n// System.out.println(\\\"step. 4 \\\"+ link.getUrl()+ \\\" xu ly cai ni mat \\\" + (end - start));\\n \\n executor.addElement(updateLinks, link.getSourceFullName());\\n \\n /*int minPost = -1;\\n Link minLink = null;\\n List<Link> updateLinks = new ArrayList<Link>();\\n for(int i = 0; i < nextLinks.size(); i++) {\\n Link ele = nextLinks.get(i);\\n int post = 0;\\n try {\\n post = PostForumTrackerService2.getInstance().read(ele.getAddressCode());\\n } catch (Exception e) {\\n LogService.getInstance().setThrowable(link.getSource(), e);\\n }\\n if(post < 1) {\\n updateLinks.add(ele);\\n continue;\\n } \\n\\n if(minPost < 0 || post < minPost){\\n minLink = ele;\\n minPost = post; \\n } \\n }\\n\\n if(minLink != null) updateLinks.add(minLink);\\n executor.addElement(updateLinks, link.getSource());*/\\n }\",\n \"public void addPages() {\\n //super.addPages(); //<--- notice we're overriding here\\n mainPage = new NewTargetWizardPage(\\\"newFilePage1\\\", getSelection());//$NON-NLS-1$\\n mainPage.setTitle(TITLE);\\n mainPage.setDescription(DESCRIPTION); \\n addPage(mainPage);\\n }\",\n \"private void addPagingLink(final String label,final String name, final String pageId, final int pageNr, final HorizontalLayout pagingControls) {\\n\\t\\tfinal Link previousPageLink = getPageLinkFactory().createAdminPagingLink(label,name, pageId, String.valueOf(pageNr));\\n\\t\\tpagingControls.addComponent(previousPageLink);\\n\\t\\tpagingControls.setExpandRatio(previousPageLink, ContentRatio.SMALL);\\n\\t}\",\n \"private void getLinksFromWikipedia(Page page, boolean fromTemplate)\\n\\t\\t\\tthrows IOException, JSONException, SQLException {\\n\\n\\t\\tString pageTitle = page.getTitle();\\n\\t\\tURL url = new URL(\\\"https://en.wikipedia.org/wiki/\\\" + pageTitle.replace(\\\" \\\", \\\"%20\\\"));\\n\\t\\tURLConnection con = url.openConnection();\\n\\t\\tInputStream in = con.getInputStream();\\n\\t\\tString encoding = con.getContentEncoding();\\n\\t\\tencoding = encoding == null ? \\\"UTF-8\\\" : encoding;\\n\\t\\tString body = IOUtils.toString(in, encoding);\\n\\t\\tDocument doc = Jsoup.parse(body);\\n\\t\\t// Nur Dokument betrachten\\n\\t\\tElement content = doc.getElementById(\\\"content\\\");\\n\\t\\tElements template = content.select(\\\"div[role=navigation]\\\");\\n\\n\\t\\tfor (Element e : template) {\\n\\t\\t\\tif (fromTemplate) {\\n\\t\\t\\t\\tElements rows = e.select(\\\"tr\\\");\\n\\t\\t\\t\\tfor (Element row : rows) {\\n\\t\\t\\t\\t\\tElement cell = row.select(\\\"th\\\").first();\\n\\t\\t\\t\\t\\tif (cell == null || !cell.html().contains(\\\"Character\\\")) {\\n\\t\\t\\t\\t\\t\\tcontinue;\\n\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tElements groups = row.select(\\\".navbox-group\\\");\\n\\t\\t\\t\\t\\tif (groups.size() != 0) {\\n\\t\\t\\t\\t\\t\\tif (row.html().contains(\\\"Characters\\\")) {\\n\\t\\t\\t\\t\\t\\t\\tgetLinks(page, row, false);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\te.remove();\\n\\t\\t}\\n\\n\\t\\tif (!fromTemplate) {\\n\\t\\t\\tgetLinks(page, content, true);\\n\\t\\t}\\n\\n\\t}\",\n \"@Test\\n public void getListingsPages_1() throws IOException {\\n List<String> listingsPages = imobiParser.getListingPages(TEST_URL_PAGINATION_1);\\n\\n Assert.assertThat(listingsPages, notNullValue());\\n Assert.assertThat(listingsPages.size(), is(10));\\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_1.replaceFirst(\\\"\\\\\\\\{pageNumber\\\\\\\\}\\\", String.valueOf(1)))));\\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_1.replaceFirst(\\\"\\\\\\\\{pageNumber\\\\\\\\}\\\", String.valueOf(5)))));\\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_1.replaceFirst(\\\"\\\\\\\\{pageNumber\\\\\\\\}\\\", String.valueOf(10)))));\\n }\",\n \"private void fairMerge(\\n final long prevId,\\n long pageId,\\n long nextId,\\n long nextPage,\\n long nextAddr,\\n IoStatisticsHolder statHolder)\\n throws IgniteCheckedException {\\n long prevPage = acquirePage(prevId, statHolder);\\n\\n try {\\n final long prevAddr = writeLock(prevId, prevPage); // No check, we keep a reference.\\n assert prevAddr != 0L;\\n try {\\n PagesListNodeIO prevIO = PagesListNodeIO.VERSIONS.forPage(prevAddr);\\n PagesListNodeIO nextIO = PagesListNodeIO.VERSIONS.forPage(nextAddr);\\n\\n // These references must be updated at the same time in write locks.\\n assert prevIO.getNextId(prevAddr) == pageId;\\n assert nextIO.getPreviousId(nextAddr) == pageId;\\n\\n prevIO.setNextId(prevAddr, nextId);\\n\\n if (needWalDeltaRecord(prevId, prevPage, null))\\n wal.log(new PagesListSetNextRecord(grpId, prevId, nextId));\\n\\n nextIO.setPreviousId(nextAddr, prevId);\\n\\n if (needWalDeltaRecord(nextId, nextPage, null))\\n wal.log(new PagesListSetPreviousRecord(grpId, nextId, prevId));\\n }\\n finally {\\n writeUnlock(prevId, prevPage, prevAddr, true);\\n }\\n }\\n finally {\\n releasePage(prevId, prevPage);\\n }\\n }\",\n \"Builder addMainEntityOfPage(URL value);\",\n \"@Override\\n protected void processPages(PDPageTree pages) throws IOException {\\n\\n List<ObjectRef> pageRefs = new ArrayList<>();\\n //STEP 1: get the page refs\\n findPages(pdDocument.getPages().getCOSObject().getItem(COSName.KIDS), pageRefs);\\n //confirm the right number of pages was found\\n if (pageRefs.size() != pdDocument.getNumberOfPages()) {\\n throw new IOException(new TikaException(\\n \\\"Couldn't find the right number of page refs (\\\" + pageRefs.size() +\\n \\\") for pages (\\\" + pdDocument.getNumberOfPages() + \\\")\\\"));\\n }\\n\\n PDStructureTreeRoot structureTreeRoot =\\n pdDocument.getDocumentCatalog().getStructureTreeRoot();\\n\\n //STEP 2: load the roleMap\\n Map<String, HtmlTag> roleMap = loadRoleMap(structureTreeRoot.getRoleMap());\\n\\n //STEP 3: load all of the text, mapped to MCIDs\\n Map<MCID, String> paragraphs = loadTextByMCID(pageRefs);\\n\\n //STEP 4: now recurse the the structure tree root and output the structure\\n //and the text bits from paragraphs\\n\\n try {\\n recurse(structureTreeRoot.getK(), null, 0, paragraphs, roleMap);\\n } catch (SAXException e) {\\n throw new IOException(e);\\n }\\n\\n //STEP 5: handle all the potentially unprocessed bits\\n try {\\n if (state.hrefAnchorBuilder.length() > 0) {\\n xhtml.startElement(\\\"p\\\");\\n writeString(state.hrefAnchorBuilder.toString());\\n xhtml.endElement(\\\"p\\\");\\n }\\n for (MCID mcid : paragraphs.keySet()) {\\n if (!state.processedMCIDs.contains(mcid)) {\\n if (mcid.mcid > -1) {\\n //TODO: LOG! piece of text that wasn't referenced in the marked content\\n // tree\\n // but should have been. If mcid == -1, this was a known item not part of\\n // content tree.\\n }\\n\\n xhtml.startElement(\\\"p\\\");\\n writeString(paragraphs.get(mcid));\\n xhtml.endElement(\\\"p\\\");\\n }\\n }\\n } catch (SAXException e) {\\n throw new IOException(e);\\n }\\n //Step 6: for now, iterate through the pages again and do all the other handling\\n //TODO: figure out when we're crossing page boundaries during the recursion\\n // step above and do the page by page processing then...rather than dumping this\\n // all here.\\n for (PDPage page : pdDocument.getPages()) {\\n startPage(page);\\n endPage(page);\\n }\\n\\n }\",\n \"public static void main(String[] args) throws IOException {\\n\\t\\t\\n ArrayList<String> visited = new ArrayList<String>();\\n\\n\\t\\tString start = \\\"https://en.wikipedia.org/wiki/Java_(programming_language)\\\";\\n String finish = \\\"https://en.wikipedia.org/wiki/Philosophy\\\";\\n String url = start;\\n\\n for (int i = 0; i < 15; i++) {\\n\\n if (visited.contains(url)) {\\n return;\\n }\\n else {\\n visited.add(url); \\n }\\n\\n Elements paragraphs = fetcher.fetchWikipedia(url);\\n Element link = searchPage(paragraphs);\\n\\n if (link == null) {\\n System.err.println(\\\"No links on this page...\\\");\\n return;\\n }\\n\\n url = link.attr(\\\"abs:href\\\");\\n System.out.println(\\\"currently on: \\\" + url);\\n \\n if (url.equals(finish)) {\\n System.out.println(\\\"found it!\\\");\\n break;\\n }\\n }\\n\\t}\",\n \"public void addPage(String name, String park);\",\n \"public void addURL(String url) {\\n pageURLs.add(url);\\n }\",\n \"public void setPages(List<PdfPage> pages) {\\n this.pages = pages;\\n }\",\n \"public List<Blog> list2(String permission,Page page);\",\n \"Set<Link> extractLinks(CrawlDoc doc, ParseState parseState)\\n throws IOException;\",\n \"public void checkOtherFooterLinks(String linkText,String url,String finder,String pageText){\\n\\t\\tWebElement labelLink = driver.findElement(By.xpath(linkText));\\n\\t\\tlabelLink.click();\\n\\t\\tassertTrue(driver.getCurrentUrl().equals(url), \\\"Page is missing\\\");\\n\\t\\t\\n\\t\\tif(driver.getCurrentUrl().equals(url)){\\n\\t\\t\\tWebElement text = driver.findElement(By.xpath(finder));\\n\\t\\t\\tString ideaPageText = text.getText();\\n\\t\\t\\tassertEquals(ideaPageText,pageText,\\\"Text mismatch\\\");\\n\\t\\t\\t}\\n\\t\\tdriver.navigate().back();\\n\\t\\t}\",\n \"private String nextUrl()\\n {\\n String nextUrl;\\n do\\n {\\n nextUrl = this.pagesToVisit.remove(0);\\n } while(this.pagesVisited.contains(nextUrl));\\n this.pagesVisited.add(nextUrl);\\n return nextUrl;\\n }\",\n \"public void addPublishersWebpage( org.ontoware.rdf2go.model.node.Node value) {\\r\\n\\t\\tBase.add(this.model, this.getResource(), PUBLISHERSWEBPAGE, value);\\r\\n\\t}\",\n \"public void setLinks(List<Link> links)\\n {\\n this.links = links;\\n }\",\n \"final void searchPage(DataInputStream dis,String url)\\r\\n {\\r\\n try\\r\\n\\t{\\r\\n String input; // Raw line read in.\\r\\n\\t String upperCaseInput; // Upper case version of the above\\r\\n\\t String link; // HTML link found\\r\\n\\t String temp; \\r\\n\\t String title=\\\"\\\"; // Page Title;\\r\\n\\r\\n\\t // Read a line at a time.\\r\\n\\t while((input=dis.readLine())!=null)\\r\\n\\t {\\r\\n\\t // Convert to Upper case (makes comparisions easier)\\r\\n\\t\\tupperCaseInput=input.toUpperCase();\\r\\n\\t\\t// Check for document title\\r\\n\\t\\ttemp=parseForTitle(input,upperCaseInput,dis);\\r\\n\\t\\t// If a title has been found then remember it. So, that it can displayed on the list box.\\r\\n\\t\\tif(temp!=null && temp.length()>0)\\r\\n\\t\\t title=temp;\\r\\n\\t //Check for match after title has been found (Don't bother Searching the title though)\\r\\n\\t\\tif(title.length()>0 && temp==null)\\r\\n\\t\\t checkMatch(input,url,title);\\r\\n \\r\\n\\t\\t// Check to see if this line contains a link\\r\\n\\t\\tlink=parseForLink(upperCaseInput,input);\\r\\n\\t\\tif(link!=null)\\r\\n\\t\\t{\\r\\n\\t\\t // Check if the maximum number of pages to search has been reached.\\r\\n\\t\\t if(app.getTotalPages()>=maxPages)\\r\\n\\t\\t return;\\r\\n if(topLevelSearch==FIND_TOP_LEVEL_PAGES)\\r\\n\\t\\t topLevelPages.addElement(link);\\r\\n else if(topLevelSearch==SEARCH_TOP_LEVEL_PAGES)\\r\\n\\t\\t nextLevelPages.addElement(link);\\r\\n\\t\\t else checkLink(link);\\t \\r\\n\\t\\t}\\r\\n\\t }\\r\\n }\\r\\n\\tcatch(IOException e){ }\\r\\n }\",\n \"public static void main(String[] args) \\r\\n\\t{\\n\\t\\tArrayList<String> fileNames = new ArrayList<String>();\\r\\n\\t\\t//arraylist for words on which you should run whichPages\\r\\n\\t\\tArrayList<String> whichPagesWords = new ArrayList<String>();\\r\\n\\t\\t//int variable for number of stopWords\\r\\n\\t\\tint stopWords = 0;\\r\\n\\r\\n\\r\\n\\t\\ttry{\\r\\n\\t\\t\\t//Read in the file\\r\\n\\t\\t\\tScanner scanFile = new Scanner(new File(args[0]));\\r\\n\\r\\n\\t\\t\\t//tell the scanner to scan file names until the flag\\r\\n\\t\\t\\twhile(true){\\r\\n\\r\\n\\t\\t\\t\\t//scan in the line\\r\\n\\t\\t\\t\\tString s = scanFile.nextLine();\\r\\n\\r\\n\\t\\t\\t\\tif(s.equals(\\\"*EOFs*\\\")){\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\telse{\\r\\n\\t\\t\\t\\t\\tfileNames.add(s);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t//get the number of stop words\\r\\n\\t\\t\\tstopWords = scanFile.nextInt();\\r\\n\\r\\n\\t\\t\\t//eat the extra newline\\r\\n\\t\\t\\tscanFile.nextLine();\\r\\n\\r\\n\\t\\t\\t//read in the words for whichPages\\r\\n\\t\\t\\twhile(scanFile.hasNext()){\\r\\n\\t\\t\\t\\tString s = scanFile.nextLine(); \\r\\n\\t\\t\\t\\twhichPagesWords.add(s.toLowerCase());\\r\\n\\t\\t\\t}\\t\\t\\t\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tcatch(Exception e){\\r\\n\\t\\t\\tSystem.out.println(\\\"Error: \\\" + e);\\r\\n\\t\\t\\tSystem.exit(0);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//create the WebPages object\\r\\n\\t\\tWebPages webPages = new WebPages();\\r\\n\\r\\n\\t\\t//add the new pages\\r\\n\\t\\tfor(int i = 0; i < fileNames.size(); i++){\\r\\n\\t\\t\\twebPages.addPage(fileNames.get(i));\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t//print terms\\r\\n\\t\\twebPages.printTerms();\\r\\n\\r\\n\\t\\t//remove stop words\\r\\n\\t\\twebPages.pruneStopWords(stopWords);\\r\\n\\r\\n\\t\\t//print terms again\\r\\n\\t\\twebPages.printTerms();\\r\\n\\r\\n\\t\\t//run whichPages method\\r\\n\\t\\tfor(int i = 0; i < whichPagesWords.size(); i++){\\r\\n\\t\\t\\tString[] array = webPages.whichPages(whichPagesWords.get(i));\\r\\n\\r\\n\\t\\t\\t//String to be printed for each whichPages word\\r\\n\\t\\t\\tString s = whichPagesWords.get(i);\\r\\n\\r\\n\\t\\t\\t//if the word isn't found, return word not found\\r\\n\\t\\t\\tif(array == null){\\r\\n\\t\\t\\t\\ts += \\\" not found\\\";\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t//otherwise, return the word and the pages it occurs on\\r\\n\\t\\t\\telse{\\r\\n\\t\\t\\t\\t//String to print\\r\\n\\t\\t\\t\\ts += \\\" in pages: \\\";\\r\\n\\r\\n\\t\\t\\t\\tfor(int j = 0; j < array.length-1; j++){\\r\\n\\t\\t\\t\\t\\ts += array[j] + \\\", \\\";\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t\\ts += array[array.length-1];\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tSystem.out.println(s);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"boolean hasPage();\",\n \"boolean hasPage();\",\n \"synchronized void toCrawlList_addAll(LinkedHashSet _toCrawlList, ArrayList _links)\\n {\\n _toCrawlList.addAll(_links);\\n }\",\n \"public Set getPages () {\\n return pages;\\n }\",\n \"@Override\\n\\tpublic int addLink(Link link) {\\n\\t\\treturn 0;\\n\\t}\",\n \"public void incPagesCrawled() {\\n pagesCrawled++;\\n }\",\n \"ItemStack addPage(ItemStack itemstack, ItemStack page, float x, float y);\",\n \"public boolean hasLinkPanel(ItemStack page);\",\n \"@Override\\n public boolean AddTraversalStreet(Street street) {\\n boolean follows = false;\\n if(streets.size() == 0) {\\n follows = true;\\n } else {\\n for (Street s : streets) {\\n if (s.follows(street)) {\\n follows = true;\\n break;\\n }\\n }\\n }\\n if(!follows) {\\n return false;\\n }\\n if(!streets.contains(street))\\n streets.add(street);\\n return true;\\n }\",\n \"public void addToList(String page,String line,String title)\\r\\n {\\r\\n\\tString translatedTitle=title;\\r\\n\\tString translatedLine=line;\\r\\n\\r\\n\\tif(title.indexOf(\\\"&\\\")!=-1 && title.indexOf(\\\";\\\")==-1)\\r\\n\\t{\\r\\n\\t // Check for HTML special characters . Eg:- " ç etc.\\r\\n\\t translatedTitle=translateSpecialChars(title);\\r\\n\\t}\\r\\n\\tif(line.indexOf(\\\"&\\\")!=-1 && line.indexOf(\\\";\\\")==-1)\\r\\n\\t{\\r\\n\\t translatedLine=translateSpecialChars(line);\\r\\n\\t}\\r\\n\\tresultsArea.addItem(\\\"Title:\\\\\\\" \\\"+translatedTitle+\\\"\\\\\\\" Text: \\\"+translatedLine);\\r\\n\\tpageMatch.addElement(page);\\r\\n }\",\n \"public void addLink(AtomLink link) {\\n if(!links.contains(link)) {\\n \\tthis.links.add(link);\\n }\\n }\",\n \"private List<String> getOfferPagesLinks(Document document) {\\n return document.select(\\\"div[class=product-image loaded] > a[href]\\\").eachAttr(\\\"abs:href\\\");\\n }\",\n \"@Override\\n\\tpublic Pool addPage(Page page, Pool pool) {\\n\\t\\tBoolean added = false;\\n\\t\\tclockwise = 0;\\n\\t\\t\\n\\t\\tpage.flag = 1;\\n\\t\\tif ( pool.slots.size() < size) {\\n\\t\\t\\twhile (clockwise < pool.slots.size()) { \\n\\t\\t\\t\\tif(pool.slots.get(clockwise).flag != 0 )\\n\\t\\t\\t\\t\\tpool.slots.get(clockwise).flag = 0;\\n\\t\\t\\t\\telse {\\n\\t\\t\\t\\t\\tpool.slots.set(clockwise, page);\\n\\t\\t\\t\\t\\tpool.addMiss();\\n\\t\\t\\t\\t\\tadded = true;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tclockwise++;\\n\\t\\t\\t}\\n\\t\\t\\tclockwise = clockwise % size;\\n\\t\\t\\tif (!added ) {\\n\\t\\t\\t\\tSystem.out.println(clockwise);\\n\\t\\t\\t\\tpool.slots.add(page);\\n\\t\\t\\t\\tpool.addMiss();\\n\\t\\t\\t\\tadded = true;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\telse if( !added ) {\\n\\t\\t\\twhile(pool.slots.get(clockwise).flag != 0) {\\n\\t\\t\\t\\tpool.slots.get(clockwise).flag = 0;\\n\\t\\t\\t\\tclockwise++;\\n\\t\\t\\t\\tclockwise = clockwise % size;\\n\\t\\t\\t}\\n\\t\\t\\tpool.slots.set(clockwise, page);\\n\\t\\t\\tpool.addMiss();\\n\\t\\t\\tadded = true;\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn pool;\\n\\t}\",\n \"public boolean addLink(arc link) {\\r\\n\\t\\tif (link.getStartNode()==this) \\r\\n\\t\\t\\toutcoming.add(link);\\r\\n\\t\\telse if (link.getEndNode()==this) \\r\\n\\t\\t\\tincoming.add(link);\\r\\n\\t\\telse \\r\\n\\t\\t\\treturn false;\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"public void addChildLink(String page_id, Vector<String> child_ids) throws IOException \\n\\t{\\n\\t\\tVector<String> children;\\n\\t\\tif(childLink.getEntry(page_id)==null) \\n\\t\\t{\\n\\t\\t\\tchildren = child_ids;\\n\\t\\t}else{\\n\\t\\t\\tchildren = (Vector<String>) childLink.getEntry(page_id);\\n\\t\\t\\tchildren.addAll(child_ids);\\n\\t\\t\\tCollection noDup = new LinkedHashSet(children);\\n\\t\\t\\tchildren.clear();\\n\\t\\t\\tchildren.addAll(noDup);\\n\\t\\t}\\n\\t\\tchildLink.addEntry(page_id, children);\\n\\t}\",\n \"@Override\\n public boolean equals(Object object) {\\n if (!(object instanceof Pages)) {\\n return false;\\n }\\n Pages other = (Pages) object;\\n if ((this.pageId == null && other.pageId != null) || (this.pageId != null && !this.pageId.equals(other.pageId))) {\\n return false;\\n }\\n return true;\\n }\",\n \"public void setOutLinks(List<Link> links) {\\r\\n outLinks = links;\\r\\n }\",\n \"@Override\\n\\tpublic void process(Page page) {\\n\\t\\tDocument doc = Jsoup.parse(page.getHtml().getFirstSourceText());\\n\\n\\t\\tif (isFirst) {\\n\\t\\t\\tSystem.out.println(\\\"添加所有列表链接\\\");\\n\\t\\t\\tArrayList<String> urls = new ArrayList<String>();\\n\\t\\t\\t// 33\\n\\t\\t\\tfor (int i = 2; i < 30; i++) {\\n\\t\\t\\t\\turls.add(\\\"http://zyjy.jiangmen.gov.cn//szqjszbgg/index_\\\" + i + \\\".htm\\\");\\n\\t\\t\\t}\\n\\t\\t\\tpage.addTargetRequests(urls);\\n\\t\\t\\tSystem.out.println(\\\"这一页一共有 \\\" + urls.size() + \\\" 条数据\\\");\\n\\n\\t\\t\\tisFirst = false;\\n\\t\\t}\\n\\n\\t\\tif (page.getUrl().regex(URL_LIST).match() || page.getUrl().toString().trim().equals(url)) {\\n\\t\\t\\tSystem.out.println(\\\"获取列表数据\\\");\\n\\n\\t\\t\\tElements uls = doc.getElementsByAttributeValue(\\\"class\\\", \\\"c1-bline\\\");\\n\\t\\t\\tfor (Element ul : uls) {\\n\\t\\t\\t\\tString url = ul.getElementsByAttributeValue(\\\"class\\\", \\\"f-left\\\").get(0).select(\\\"a\\\").attr(\\\"href\\\").trim();\\n\\t\\t\\t\\tString title = ul.getElementsByAttributeValue(\\\"class\\\", \\\"f-left\\\").get(0).text();\\n\\t\\t\\t\\tString data = ul.getElementsByAttributeValue(\\\"class\\\", \\\"f-right\\\").get(0).text();\\n\\t\\t\\t\\tCacheHashMap.cache.put(url, title + \\\"###\\\" + data);\\n\\t\\t\\t\\tMyUtils.addRequestToPage(page, url);\\n\\t\\t\\t\\tSystem.out.println(url + \\\" \\\" + CacheHashMap.cache.get(url));\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t\\tif (page.getUrl().regex(URL_DETAILS).match()) {\\n\\n\\t\\t\\tProject project = new Project();\\n\\t\\t\\tStringBuffer project_article = new StringBuffer();\\n\\n\\t\\t\\tString urldetails = CacheHashMap.cache.get(page.getUrl().toString().trim());\\n\\t\\t\\tSystem.out.println(\\\"url\\\" + page.getUrl().toString().trim());\\n\\t\\t\\tSystem.out.println(\\\"urldetails \\\" + urldetails);\\n\\n\\t\\t\\tString[] value = urldetails.split(\\\"###\\\");\\n\\t\\t\\tif (value != null && value.length > 1) {\\n\\t\\t\\t\\tproject.setProjectName(value[0]);\\n\\t\\t\\t\\tproject.setPublicStart(value[1]);\\n\\t\\t\\t}\\n\\n\\t\\t\\tElements divs = doc.getElementsByAttributeValue(\\\"class\\\", \\\"contlist minheight\\\");\\n\\t\\t\\tfor (Element div : divs.get(0).children()) {\\n\\t\\t\\t\\tif (div.nodeName().equals(\\\"table\\\")) {\\n\\t\\t\\t\\t\\tElements trs = divs.select(\\\"tbody\\\").select(\\\"tr\\\");\\n\\t\\t\\t\\t\\tfor (Element tr : trs) {\\n\\t\\t\\t\\t\\t\\tproject_article.append(tr.text()).append(\\\"\\\\n\\\");\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tproject_article.append(div.text()).append(\\\"\\\\n\\\");\\n\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tproject.setUrl(page.getUrl().toString().trim());\\n\\t\\t\\tproject.setState(0);\\n\\t\\t\\tproject.setWebsiteType(\\\"江门市\\\");\\n\\t\\t\\tproject.setTime(MyUtils.getcurentTime());\\n\\t\\t\\tproject.setRawHtml(divs.toString());\\n\\n\\t\\t\\tproject.setArticle(project_article.toString());\\n\\t\\t\\tSystem.out.println(project);\\n\\n\\t\\t\\tHibernateUtil.save2Hibernate(project);\\n\\n\\t\\t}\\n\\n\\t}\",\n \"void nextPage() throws IndexOutOfBoundsException;\",\n \"private void pageContent( String url) {\\n\\t\\t\\n\\t\\tif ( !url.matches(URL)) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\t\\n\\t\\tList<String> outlinks = null; // out link urls\\n\\t\\tUrlBean bean = null; // basic info of the url\\n\\t\\t\\n\\t\\tbean = new UrlBean();\\n\\t\\ttry {\\n\\t\\t\\t\\n\\t\\t\\tconn = Jsoup.connect(url).timeout(5000);\\n\\t\\t\\tif ( conn == null) {\\n\\t\\t\\t\\treturn ;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tdocument = conn.get(); // 得到网页源代码，超时时间是5秒\\n\\t\\t\\t\\n\\t\\t\\t/*\\n\\t\\t\\t * 文章基本信息\\n\\t\\t\\t */\\n\\t\\t\\telements = document.getElementsByTag(\\\"title\\\");\\n\\t\\t\\tif ( elements!= null && elements.size() != 0) {\\n\\t\\t\\t\\telement = elements.get(0);\\n\\t\\t\\t}\\n\\t\\t\\tString title = element.text();\\n\\t\\t\\tbean.setTitle(title);\\n\\t\\t\\tbean.setKeywords(title);\\n\\t\\t\\t\\n\\t\\t\\telements = document.getElementsByTag(\\\"a\\\");\\n\\t\\t\\tif ( elements != null) {\\n\\t\\t\\t\\tString linkUrl = null;\\n\\t\\t\\t\\toutlinks = new ArrayList<String>();\\n\\t\\t\\t\\tfor ( int i = 0; i < elements.size(); i++) {\\n\\t\\t\\t\\t\\tlinkUrl = elements.get(i).attr(\\\"href\\\");\\n\\t\\t\\t\\t\\tif ( linkUrl.matches(URL)) {\\n\\t\\t\\t\\t\\t\\toutlinks.add(linkUrl);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t\\treturn;\\n\\t\\t} \\n\\t\\t\\n\\t\\tbean.setUrl(url);\\n\\t\\tbean.setId(urlId++);\\n\\t\\tbean.setRank(1);\\n\\t\\tif ( outlinks != null) {\\n\\t\\t\\tint count = outlinks.size();\\n\\t\\t\\tbean.setOutlinks(count);\\n\\t\\t\\tfor ( int i = 0; i < count; i++) {\\n\\t\\t\\t\\turlsSet.add(outlinks.get(i));\\n\\t\\t\\t}\\n\\t\\t\\tif ( new AllInterface().addOneUrlInfo(bean, outlinks)) {\\n\\t\\t\\t\\tSystem.out.println(\\\"Add to database successfully, url is '\\\" + url + \\\"'.\\\");\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tSystem.out.println(\\\"Fail to add to database, maybe url exists. Url is '\\\" + url + \\\"'.\\\");\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println(\\\"[\\\" + count + \\\" urls remain...]\\\");\\n\\t\\t\\tSystem.out.println();\\n\\t\\t} else {\\n\\t\\t\\tSystem.out.println(\\\"Error occurs in crawl, url is '\\\" + url + \\\"'.\\\");\\n\\t\\t\\tSystem.out.println(\\\"[[FINISHED]]\\\");\\n\\t\\t\\tSystem.out.println();\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"public void setPages(String pages) {\\n this.pages = pages == null ? null : pages.trim();\\n }\",\n \"Collection<PageLink> crawl(CrawlerArgs args);\",\n \"public void onPagesAdded(List<Integer> pageList) {\\n/* 592 */ if (pageList == null || pageList.size() == 0 || !this.mPdfViewCtrl.isUndoRedoEnabled()) {\\n/* */ return;\\n/* */ }\\n/* */ \\n/* */ try {\\n/* 597 */ JSONObject jsonObj = new JSONObject();\\n/* 598 */ if (this.mContext != null) {\\n/* 599 */ String strPageAdd = this.mContext.getResources().getString(R.string.undo_redo_page_add);\\n/* 600 */ jsonObj.put(\\\"Action\\\", strPageAdd);\\n/* */ } \\n/* 602 */ jsonObj.put(\\\"Action event\\\", \\\"add_pages\\\");\\n/* 603 */ jsonObj.put(\\\"Pages\\\", convertPageListToString(pageList));\\n/* */ \\n/* 605 */ if (Utils.isNullOrEmpty(jsonObj.toString())) {\\n/* 606 */ AnalyticsHandlerAdapter.getInstance().sendException(new Exception(\\\"takeUndoSnapshot with an empty string\\\"));\\n/* */ }\\n/* */ \\n/* 609 */ takeUndoSnapshot(jsonObj.toString());\\n/* 610 */ if (sDebug)\\n/* 611 */ Log.d(TAG, \\\"snapshot: \\\" + jsonObj.toString()); \\n/* 612 */ } catch (Exception e) {\\n/* 613 */ AnalyticsHandlerAdapter.getInstance().sendException(e);\\n/* */ } \\n/* */ }\",\n \"void storeLinks();\",\n \"private void parseHRefs (URL page, String name, URL base) throws IOException {\\n Reader r = source.getReader (page);\\n URL[] refs = ParseURLs.parse (r, page);\\n \\n String b = base.toExternalForm();\\n for (int i = 0; i < refs.length; i++) {\\n String e = refs[i].toExternalForm ();\\n int hash = e.indexOf ('#');\\n if (hash >= 0) {\\n e = e.substring (0, hash);\\n }\\n if (e.startsWith (b)) {\\n String s = e.substring (b.length ());\\n Collection c = (Collection)deps.get (name);\\n if (c == null) {\\n c = new ArrayList ();\\n deps.put (name, c);\\n }\\n c.add (s.intern ());\\n }\\n }\\n r.close (); \\n }\",\n \"public void addlink(TparselinksEntity newlink);\",\n \"@Test\\n public void getListingsPages_3() throws IOException {\\n List<String> listingsPages = imobiParser.getListingPages(TEST_URL_PAGINATION_ABSENT);\\n\\n Assert.assertThat(listingsPages, notNullValue());\\n Assert.assertThat(listingsPages.size(), is(1));\\n Assert.assertThat(listingsPages, hasItem(is(TEST_URL_PAGINATION_ABSENT.replaceFirst(\\\"\\\\\\\\{pageNumber\\\\\\\\}\\\", String.valueOf(1)))));\\n }\",\n \"@Override\\r\\n\\tpublic void setUserStartPages(List userStartPages) {\\r\\n\\r\\n\\t\\tthis.matchedPages = new Hashtable();\\r\\n\\t\\tthis.startPages = new Hashtable();\\r\\n\\r\\n\\t\\tString currentPattern;\\r\\n\\t\\tfor (int i = 0; i < userStartPages.size(); i++) {\\r\\n\\r\\n\\t\\t\\tcurrentPattern = (String) userStartPages.get(i);\\r\\n\\t\\t\\tthis.startPages.put(currentPattern, Pattern.compile(currentPattern));\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public void setPages(int pages) {\\n this.pages = pages;\\n }\",\n \"public void addFilterToReferencedLink(ViewerFilter filter);\",\n \"@Override\\n\\tpublic void process(Page page){\\n\\n\\t CollectTemplate collectTemplate = templateService.getCollectTemplateById(templateId);\\n\\t String currentUrl=page.getUrl().toString();\\n\\t String nextUrlXpath=collectTemplate.getNextUrlXpath();\\n \\tString contentUrlXpath=collectTemplate.getContentUrlXpath();\\n \\tString listUrlRegex=collectTemplate.getListUrlRegex();\\n \\tString contentUrlRegex=collectTemplate.getContentUrlRegex();\\n \\tList<CollectTemplateField> fields=collectTemplate.getFields();\\n \\ttry {\\n\\t \\t\\t\\n\\t \\tHtml currentHtml= page.getHtml();\\n\\n\\t\\t\\t//判断是否是列表页\\n\\t if (currentUrl.matches(listUrlRegex)) {\\n\\n\\t\\t\\t\\t//处理列表页\\n\\t\\t\\t\\tString nextPageUrl=\\\"\\\";\\n\\t\\t\\t\\ttry{\\n\\t\\t\\t\\t\\tnextPageUrl=currentHtml.xpath(nextUrlXpath).toString();\\n\\t\\t\\t\\t\\tif (nextPageUrl==null||StringUtils.isEmpty(nextPageUrl)){\\n\\t\\t\\t\\t\\t\\tthrow new Exception();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}catch (Exception e){\\n\\t\\t\\t\\t\\tXpath2Selector xpath2Selector = new Xpath2Selector(nextUrlXpath);\\n\\t\\t\\t\\t\\tnextPageUrl = xpath2Selector.select(page.getRawText());\\n\\n\\t\\t\\t\\t\\tif (nextPageUrl!=null&&nextPageUrl.startsWith(\\\"/\\\")){\\n\\t\\t\\t\\t\\t\\tnextPageUrl = \\\"http://\\\"+site.getDomain()+nextPageUrl;\\n\\t\\t\\t\\t\\t}\\n\\n\\n\\t\\t\\t\\t}\\n\\n\\t \\tif (StringUtils.isNotEmpty(nextPageUrl)) {\\n\\n\\t \\t\\tRequest request=new Request();\\n\\t \\t\\trequest.setUrl(nextPageUrl);\\n\\t \\t\\trequest.setPriority(-1);\\n\\t \\t\\t\\n\\t \\t\\tpage.addTargetRequest(request);\\n\\n\\t \\t\\tlogService.info(projectId,\\\"get the next page link \\\"+nextPageUrl+\\\" and add it to the queue\\\");\\n\\n\\t\\t\\t\\t}else{\\n\\t\\t\\t\\t\\tlogService.warn(projectId,\\\"fail to get the next page link\\\");\\n\\n\\t\\t\\t\\t}\\n\\t \\tList<String> detailPagesUrl;\\n\\t \\ttry{\\n\\t\\t\\t\\t\\tdetailPagesUrl = currentHtml.xpath(contentUrlXpath).all();\\n\\n\\t\\t\\t\\t}catch (Exception e){\\n\\n\\t\\t\\t\\t\\tXpath2Selector xpath2Selector2 = new Xpath2Selector(contentUrlXpath);\\n\\t\\t\\t\\t\\tdetailPagesUrl = xpath2Selector2.selectList(currentHtml.getDocument().text());\\n\\t\\t\\t\\t}\\n\\n\\n\\n\\t \\tif (detailPagesUrl!=null&&detailPagesUrl.size()!=0) {\\n\\t\\t\\t\\t\\t//添加详情页\\n\\t\\t\\t\\t\\tpage.addTargetRequests(detailPagesUrl, 1);\\n\\n\\t\\t\\t\\t\\tlogService.info(projectId,\\\"get \\\"+detailPagesUrl.size()+\\\" detail pages\\\");\\n\\t\\t\\t\\t}else{\\n\\t\\t\\t\\t\\tlogService.warn(projectId,\\\"fail to get detail page\\\");\\n\\n\\t\\t\\t\\t}\\n\\t\\t\\t}else if (StringUtils.isEmpty(contentUrlRegex)||currentUrl.matches(contentUrlRegex)) {\\n\\t \\t//处理详情页\\n\\t\\t\\t\\tcontentPageProcessService.setProjectId(projectId);\\n\\t\\t\\t\\tcontentPageProcessService.progressContentPage(page,fields);\\n\\t\\t\\t}\\n\\t \\t} catch (Exception e) {\\n\\t\\t\\t\\tSystem.out.println(e);\\n\\t\\t\\t}\\n\\t \\n\\t }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.60866046","0.59289867","0.59182996","0.5903291","0.5753341","0.56251395","0.5519568","0.5479177","0.54567564","0.54407084","0.5423079","0.54064274","0.53893185","0.5371996","0.5357443","0.53535336","0.5350244","0.5348907","0.53355676","0.5316902","0.529607","0.52748483","0.5272485","0.5244943","0.524199","0.523521","0.52278244","0.52163106","0.5195341","0.5194667","0.5148543","0.5139572","0.51359636","0.5132255","0.51111823","0.50940627","0.509148","0.5089661","0.5085941","0.50772655","0.5075916","0.50681275","0.5057864","0.505375","0.50455165","0.5013327","0.49973142","0.49952286","0.49827853","0.49808475","0.49691644","0.49560943","0.49518076","0.49449915","0.4935816","0.49234006","0.49054825","0.49037096","0.48847404","0.48773605","0.48624533","0.4862319","0.48609808","0.48591408","0.48483956","0.48378092","0.48315436","0.48282716","0.48219225","0.48023206","0.48023206","0.48003045","0.4796134","0.47946584","0.4787023","0.47860238","0.4784707","0.47726545","0.47715253","0.47590405","0.47567475","0.47548","0.47534874","0.4753074","0.47472703","0.47462717","0.47414395","0.4730909","0.47265565","0.47231564","0.4716325","0.47111985","0.4708456","0.47024474","0.46972793","0.46844196","0.46743786","0.4668826","0.4663814","0.46518376"],"string":"[\n \"0.60866046\",\n \"0.59289867\",\n \"0.59182996\",\n \"0.5903291\",\n \"0.5753341\",\n \"0.56251395\",\n \"0.5519568\",\n \"0.5479177\",\n \"0.54567564\",\n \"0.54407084\",\n \"0.5423079\",\n \"0.54064274\",\n \"0.53893185\",\n \"0.5371996\",\n \"0.5357443\",\n \"0.53535336\",\n \"0.5350244\",\n \"0.5348907\",\n \"0.53355676\",\n \"0.5316902\",\n \"0.529607\",\n \"0.52748483\",\n \"0.5272485\",\n \"0.5244943\",\n \"0.524199\",\n \"0.523521\",\n \"0.52278244\",\n \"0.52163106\",\n \"0.5195341\",\n \"0.5194667\",\n \"0.5148543\",\n \"0.5139572\",\n \"0.51359636\",\n \"0.5132255\",\n \"0.51111823\",\n \"0.50940627\",\n \"0.509148\",\n \"0.5089661\",\n \"0.5085941\",\n \"0.50772655\",\n \"0.5075916\",\n \"0.50681275\",\n \"0.5057864\",\n \"0.505375\",\n \"0.50455165\",\n \"0.5013327\",\n \"0.49973142\",\n \"0.49952286\",\n \"0.49827853\",\n \"0.49808475\",\n \"0.49691644\",\n \"0.49560943\",\n \"0.49518076\",\n \"0.49449915\",\n \"0.4935816\",\n \"0.49234006\",\n \"0.49054825\",\n \"0.49037096\",\n \"0.48847404\",\n \"0.48773605\",\n \"0.48624533\",\n \"0.4862319\",\n \"0.48609808\",\n \"0.48591408\",\n \"0.48483956\",\n \"0.48378092\",\n \"0.48315436\",\n \"0.48282716\",\n \"0.48219225\",\n \"0.48023206\",\n \"0.48023206\",\n \"0.48003045\",\n \"0.4796134\",\n \"0.47946584\",\n \"0.4787023\",\n \"0.47860238\",\n \"0.4784707\",\n \"0.47726545\",\n \"0.47715253\",\n \"0.47590405\",\n \"0.47567475\",\n \"0.47548\",\n \"0.47534874\",\n \"0.4753074\",\n \"0.47472703\",\n \"0.47462717\",\n \"0.47414395\",\n \"0.4730909\",\n \"0.47265565\",\n \"0.47231564\",\n \"0.4716325\",\n \"0.47111985\",\n \"0.4708456\",\n \"0.47024474\",\n \"0.46972793\",\n \"0.46844196\",\n \"0.46743786\",\n \"0.4668826\",\n \"0.4663814\",\n \"0.46518376\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.56842756"},"document_rank":{"kind":"string","value":"5"}}},{"rowIdx":132597,"cells":{"query":{"kind":"string","value":"end expandPages(); Divides each page's score by the sum of the squares of all pages' scores (separately for both the authority and hubs scores"},"document":{"kind":"string","value":"public List<Page> normalize(List<Page> pages) {\n\t\tdouble hubTotal = 0;\n\t\tdouble authTotal = 0;\n\t\tfor (Page p : pages) {\n\t\t\t// Sum Hub scores over all pages\n\t\t\thubTotal += Math.pow(p.hub, 2);\n\t\t\t// Sum Authority scores over all pages\n\t\t\tauthTotal += Math.pow(p.authority, 2);\n\t\t}\n\t\t// divide all hub and authority scores for all pages\n\t\tfor (Page p : pages) {\n\t\t\tif (hubTotal > 0) {\n\t\t\t\tp.hub /= hubTotal;\n\t\t\t} else {\n\t\t\t\tp.hub = 0;\n\t\t\t}\n\t\t\tif (authTotal > 0) {\n\t\t\t\tp.authority /= authTotal;\n\t\t\t} else {\n\t\t\t\tp.authority = 0;\n\t\t\t}\n\t\t}\n\t\treturn pages; // with normalised scores now\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public void reduce ()\r\n {\r\n if (score.getPages().isEmpty()) {\r\n return;\r\n }\r\n\r\n /* Connect parts across the pages */\r\n connection = PartConnection.connectScorePages(pages);\r\n\r\n // Force the ids of all ScorePart's\r\n numberResults();\r\n\r\n // Create score part-list and connect to pages and systems parts\r\n addPartList();\r\n\r\n // Debug: List all candidates per result\r\n if (logger.isDebugEnabled()) {\r\n dumpResultMapping();\r\n }\r\n }","public ScoreReduction (Score score)\r\n {\r\n this.score = score;\r\n\r\n for (TreeNode pn : score.getPages()) {\r\n Page page = (Page) pn;\r\n pages.put(page.getIndex(), page);\r\n }\r\n }","protected abstract void calcScores();","private IDictionary<String, Double> computeIdfScores(ISet<Webpage> pages) {\n\t\tidfScores = new ChainedHashDictionary<String, Double>();\n\t\tIDictionary<String, Double> docCount = new ChainedHashDictionary<String, Double>();\n\t\t\n\t\t// Iterates through every webpage and maps all of the unique word counts for that page\n\t\tfor (Webpage page: pages) {\n\t\t\tIList<String> words = page.getWords();\n\t\t\tISet<String> keySet = getKeySet(words);\n\t\t\tfor (String word: keySet) {\n\t\t\t\tif (!docCount.containsKey(word)) {\n\t\t\t\t\tdocCount.put(word, 1.0);\n\t\t\t\t} else {\n\t\t\t\t\tdocCount.put(word, docCount.get(word) + 1.0);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\t\t\n\t\tDouble totalDocuments = (double) pages.size();\n\t\t\n\t\t// Updates IDF scores\n\t\tfor (KVPair<String, Double> pair: docCount) {\n\t\t\tidfScores.put(pair.getKey(), Math.log(totalDocuments / pair.getValue()));\n\t\t}\n\t\treturn idfScores;\n }","private void recalculate()\n {\n this.totalPages = this.contents.size() > 54 ? this.contents.size() / 45 : 1;\n }","public double agile(double scrum,double sub,double essay,double exam)\n {\n double a = ((25%100)*scrum)/100;\n double b = ((5%100)*sub)/100;\n double c = ((20%100)*essay)/100;\n double d = ((50%100)*exam)/100;\n double grade = ((a+b+c+d)/8);//*100;\n return grade;\n }","protected abstract List<Double> calcScores();","public void calculationScreen() {\n letterGradeMap.put(\"Select a Grade\", 0.001);\n letterGradeMap.put(\"O\", 10.0);\n letterGradeMap.put(\"A+\", 9.0);\n letterGradeMap.put(\"A\", 8.0);\n letterGradeMap.put(\"B+\", 7.0);\n letterGradeMap.put(\"B\", 6.0);\n letterGradeMap.put(\"RA\", 0.0);\n\n HashMap<String, Double> sem1Map = new HashMap<>(sem01Subjects.length);\n sem1Map.put(\"ENGLISH FOR PROFESSIONAL COMMUNICATION\", 3.0);\n sem1Map.put(\"MATRICES AND CALCULUS\", 4.0);\n sem1Map.put(\"PHYSICS FOR INFORMATION SCIENCE\", 3.0);\n sem1Map.put(\"CHEMISTRY FOR INFORMATION SCIENCE\", 3.0);\n sem1Map.put(\"PYTHON PROGRAMMING\", 3.0);\n sem1Map.put(\"ENGINEERING GRAPHICS\", 3.0);\n sem1Map.put(\"PHYSICS AND CHEMISTRY LABORATORY\", 2.0);\n sem1Map.put(\"PYTHON PROGRAMMING LABORATORY\", 2.0);\n perSemesterSubjectCredits.put(\"SEM01\", sem1Map);\n\n HashMap<String, Double> sem2Map = new HashMap<>(sem02Subjects.length);\n sem2Map.put(\"TECHNICAL COMMUNICATION\", 2.0);\n sem2Map.put(\"VECTOR CALCULUS AND TRANSFORMS\", 4.0);\n sem2Map.put(\"BASICS OF ELECTRICAL AND ELECTRONICS ENGINEERING\", 3.0);\n sem2Map.put(\"C PROGRAMMING\", 3.0);\n sem2Map.put(\"ELECTRICAL AND ELECTRONICS LABORATORY\", 2.0);\n sem2Map.put(\"C PROGRAMMING LABORATORY\", 2.0);\n sem2Map.put(\"COMPUTER HARDWARE AND SOFTWARE TOOLS (computer workshop)\", 2.0);\n sem2Map.put(\"FUNDAMENTALS OF COMPUTATIONAL BIOLOGY\", 0.0);\n perSemesterSubjectCredits.put(\"SEM02\", sem2Map);\n\n HashMap<String, Double> sem3Map = new HashMap<>(sem03Subjects.length);\n sem3Map.put(\"PROBABILITY AND QUEUEING THEORY\", 4.0);\n sem3Map.put(\"DIGITAL SYSTEMS\", 3.0);\n sem3Map.put(\"DATA STRUCTURES\", 3.0);\n sem3Map.put(\"SOFTWARE ENGINEERING\", 3.0);\n sem3Map.put(\"OBJECT ORIENTED PROGRAMMING SYSTEMS\", 3.0);\n sem3Map.put(\"DATA STRUCTURES LABORATORY\", 2.0);\n sem3Map.put(\"OBJECT ORIENTED PROGRAMMING SYSTEMS LABORATORY\", 2.0);\n sem3Map.put(\"COMMUNICATION AND SOFT SKILLS\", 0.0);\n perSemesterSubjectCredits.put(\"SEM03\", sem3Map);\n\n HashMap<String, Double> sem4Map = new HashMap<>(sem04Subjects.length);\n sem4Map.put(\"DISCRETE MATHEMATICS\", 4.0);\n sem4Map.put(\"DATABASE MANAGEMENT SYSTEMS\", 3.0);\n sem4Map.put(\"OPERATING SYSTEM CONCEPTS\", 3.0);\n sem4Map.put(\"DESIGN AND ANALYSIS OF ALGORITHMS\", 3.0);\n sem4Map.put(\"COMPUTER ARCHITECTURE\", 3.0);\n sem4Map.put(\"MICRO PROCESSORS AND MICRO CONTROLLERS\", 3.0);\n sem4Map.put(\"DATABASE MANAGEMENT SYSTEMS LABORATORY\", 2.0);\n sem4Map.put(\"INTERPERSONAL SKILLS-LISTENING AND SPEAKING\", 2.0);\n sem4Map.put(\"ENVIRONMENTAL SCIENCE AND ENGINEERING\", 0.0);\n perSemesterSubjectCredits.put(\"SEM04\", sem4Map);\n\n HashMap<String, Double> sem5Map = new HashMap<>(sem05Subjects.length);\n sem5Map.put(\"THEORY OF COMPUTATION\", 3.0);\n sem5Map.put(\"COMPUTER NETWORKS\", 3.0);\n sem5Map.put(\"ELECTIVE I\", 3.0);\n sem5Map.put(\"ELECTIVE II\", 3.0);\n sem5Map.put(\"OPEN ELECTIVE-I\", 3.0);\n sem5Map.put(\"SYSTEM ANALYSIS AND DESIGN LABORATORY\", 2.0);\n sem5Map.put(\"COMPUTER NETWORKS LABORATORY\", 2.0);\n sem5Map.put(\"LIFE SKILLS : APTITUDE\", 0.0);\n perSemesterSubjectCredits.put(\"SEM05\", sem5Map);\n\n HashMap<String, Double> sem6Map = new HashMap<>(sem06Subjects.length);\n sem6Map.put(\"COMPILER DESIGN\", 3.0);\n sem6Map.put(\"CRYPTOGRAPHY AND NETWORK SECURITY\", 3.0);\n sem6Map.put(\"ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING\", 3.0);\n sem6Map.put(\"ELECTIVE III\", 3.0);\n sem6Map.put(\"ELECTIVE IV\", 3.0);\n sem6Map.put(\"OPEN ELECTIVE - II\", 3.0);\n sem6Map.put(\"MOBILE APPLICATION DEVELOPMENT LABORATORY\", 2.0);\n sem6Map.put(\"MINI PROJECT\", 2.0);\n sem6Map.put(\"LIFE SKILLS : COMPETITIVE EXAMS\", 0.0);\n perSemesterSubjectCredits.put(\"SEM06\", sem6Map);\n\n HashMap<String, Double> sem7Map = new HashMap<>(sem07Subjects.length);\n sem7Map.put(\"PROFESSIONAL ETHICS FOR ENGINEERS\", 3.0);\n sem7Map.put(\"GRAPHICS AND MULTIMEDIA\", 3.0);\n sem7Map.put(\"SOFTWARE AND PROJECT MANAGEMENT\", 3.0);\n sem7Map.put(\"ELECTIVE V\", 3.0);\n sem7Map.put(\"ELECTIVE VI\", 3.0);\n sem7Map.put(\"OPEN ELECTIVE - III\", 3.0);\n sem7Map.put(\"GRAPHICS AND MULTIMEDIA LABORATORY\", 2.0);\n sem7Map.put(\"TECHNICAL SEMINAR\", 1.0);\n perSemesterSubjectCredits.put(\"SEM07\", sem7Map);\n\n HashMap<String, Double> sem8Map = new HashMap<>(sem08Subjects.length);\n sem8Map.put(\"ELECTIVE VII\", 3.0);\n sem8Map.put(\"ELECTIVE VIII\", 3.0);\n sem8Map.put(\"OPEN ELECTIVE - IV\", 3.0);\n sem8Map.put(\"PROJECT WORK\", 10.0);\n perSemesterSubjectCredits.put(\"SEM08\", sem8Map);\n\n /** Creating Buttons. */\n JButton[] calculateGPA = new JButton[8];\n JButton[] ResetGPA = new JButton[8];\n ButtonCreation calculateCGPA = new ButtonCreation(\"Calculate CGPA\");\n ButtonCreation resetAll = new ButtonCreation(\"Reset ALL\");\n for (int i = 0; i < 8; i++) {\n calculateGPA[i] = new ButtonCreation(\"Calculate GPA\", font, \"CGPA\");\n ResetGPA[i] = new ButtonCreation(\"Reset Grade Points\", font);\n }\n\n /** Creating ComboBox Arrays. */\n JComboBox[] sem01cb = new JComboBox[sem1Map.size()];\n JComboBox[] sem02cb = new JComboBox[sem2Map.size()];\n JComboBox[] sem03cb = new JComboBox[sem3Map.size()];\n JComboBox[] sem04cb = new JComboBox[sem4Map.size()];\n JComboBox[] sem05cb = new JComboBox[sem5Map.size()];\n JComboBox[] sem06cb = new JComboBox[sem6Map.size()];\n JComboBox[] sem07cb = new JComboBox[sem7Map.size()];\n JComboBox[] sem08cb = new JComboBox[sem8Map.size()];\n\n allComboBoxes.put(\"SEM01\", sem01cb);\n allComboBoxes.put(\"SEM02\", sem02cb);\n allComboBoxes.put(\"SEM03\", sem03cb);\n allComboBoxes.put(\"SEM04\", sem04cb);\n allComboBoxes.put(\"SEM05\", sem05cb);\n allComboBoxes.put(\"SEM06\", sem06cb);\n allComboBoxes.put(\"SEM07\", sem07cb);\n allComboBoxes.put(\"SEM08\", sem08cb);\n\n /** Creating Subject Label Arrays. */\n JLabel[] sem01PaperLabel = new JLabel[8];\n JLabel[] sem02PaperLabel = new JLabel[8];\n JLabel[] sem03PaperLabel = new JLabel[8];\n JLabel[] sem04PaperLabel = new JLabel[9];\n JLabel[] sem05PaperLabel = new JLabel[8];\n JLabel[] sem06PaperLabel = new JLabel[9];\n JLabel[] sem07PaperLabel = new JLabel[8];\n JLabel[] sem08PaperLabel = new JLabel[4];\n\n /** Creating Arrays to perform actions. */\n ArrayList<JComboBox[]> allComboBoxesarray = new ArrayList<>();\n allComboBoxesarray.add(sem01cb);\n allComboBoxesarray.add(sem02cb);\n allComboBoxesarray.add(sem03cb);\n allComboBoxesarray.add(sem05cb);\n allComboBoxesarray.add(sem07cb);\n allComboBoxesarray.add(sem04cb);\n allComboBoxesarray.add(sem06cb);\n allComboBoxesarray.add(sem08cb);\n\n ArrayList<JComboBox[]> allSemesters8 = new ArrayList<>();\n allSemesters8.add(sem01cb);\n allSemesters8.add(sem02cb);\n allSemesters8.add(sem03cb);\n allSemesters8.add(sem05cb);\n allSemesters8.add(sem07cb);\n ArrayList<JComboBox[]> allSemesters9 = new ArrayList<>();\n allSemesters9.add(sem04cb);\n allSemesters9.add(sem06cb);\n ArrayList<JComboBox[]> semester8 = new ArrayList<>();\n semester8.add(sem08cb);\n\n\n\n cgpaButtons.put(\"SEM01\", calculateGPA[0]);\n cgpaButtons.put(\"SEM02\", calculateGPA[1]);\n cgpaButtons.put(\"SEM03\", calculateGPA[2]);\n cgpaButtons.put(\"SEM04\", calculateGPA[3]);\n cgpaButtons.put(\"SEM05\", calculateGPA[4]);\n cgpaButtons.put(\"SEM06\", calculateGPA[5]);\n cgpaButtons.put(\"SEM07\", calculateGPA[6]);\n cgpaButtons.put(\"SEM08\", calculateGPA[7]);\n\n /** Creating ComboBox and adding those into panels along with Subject Labels. */\n for (String key : allComboBoxes.keySet()) {\n JComboBox[] entry = allComboBoxes.get(key);\n for (JComboBox boxes : entry) {\n for (int i = 0; i < entry.length; i++) {\n if ( \"SEM01\".equals( key )) {\n sem01cb[i] = new ComboBoxCreation(sem01cb[i], sem01Subjects[i]);\n sem01PaperLabel[i] = new LabelCreation(sem01PaperLabel[i], sem01Subjects[i]);\n } else {\n if ( \"SEM02\".equals( key )) {\n sem02cb[i] = new ComboBoxCreation(sem02cb[i], sem02Subjects[i]);\n sem02PaperLabel[i] = new LabelCreation(sem02PaperLabel[i], sem02Subjects[i]);\n } else {\n if ( \"SEM03\".equals( key )) {\n sem03cb[i] = new ComboBoxCreation(sem03cb[i], sem03Subjects[i]);\n sem03PaperLabel[i] = new LabelCreation(sem03PaperLabel[i], sem03Subjects[i]);\n } else {\n if ( \"SEM04\".equals( key )) {\n sem04cb[i] = new ComboBoxCreation(sem04cb[i], sem04Subjects[i]);\n sem04PaperLabel[i] = new LabelCreation(sem04PaperLabel[i], sem04Subjects[i]);\n\n } else {\n if ( \"SEM05\".equals( key )) {\n sem05cb[i] = new ComboBoxCreation(sem05cb[i], sem05Subjects[i]);\n sem05PaperLabel[i] = new LabelCreation(sem05PaperLabel[i], sem05Subjects[i]);\n } else {\n if ( \"SEM06\".equals( key )) {\n sem06cb[i] = new ComboBoxCreation(sem06cb[i], sem06Subjects[i]);\n sem06PaperLabel[i] = new LabelCreation(sem06PaperLabel[i], sem06Subjects[i]);\n\n } else {\n if ( \"SEM07\".equals( key )) {\n sem07cb[i] = new ComboBoxCreation(sem07cb[i], sem07Subjects[i]);\n sem07PaperLabel[i] = new LabelCreation(sem07PaperLabel[i], sem07Subjects[i]);\n } else {\n if ( \"SEM08\".equals( key )) {\n sem08cb[i] = new ComboBoxCreation(sem08cb[i], sem08Subjects[i]);\n sem08PaperLabel[i] = new LabelCreation(sem08PaperLabel[i], sem08Subjects[i]);\n }\n }\n }\n }\n }\n }\n }\n }\n }\n }\n }\n\n\n\n\n // Creating All Panels\n PanelCreation sem01 = new PanelCreation(9, 3, tabNamePanelName[0]);\n PanelCreation sem02 = new PanelCreation(9, 3, tabNamePanelName[1]);\n PanelCreation sem03 = new PanelCreation(9, 3, tabNamePanelName[2]);\n PanelCreation sem04 = new PanelCreation(10, 3, tabNamePanelName[3]);\n PanelCreation sem05 = new PanelCreation(9, 3, tabNamePanelName[4]);\n PanelCreation sem06 = new PanelCreation(10, 3, tabNamePanelName[5]);\n PanelCreation sem07 = new PanelCreation(9, 3, tabNamePanelName[6]);\n PanelCreation sem08 = new PanelCreation(9, 3, tabNamePanelName[7]);\n PanelCreation CGPA = new PanelCreation(1, 1, \"CGPA\");\n\n JTabbedPane semesterPane =\n new JTabbedPane(JTabbedPane.TOP) {\n {\n addTab(tabNamePanelName[0], null, sem01, null);\n addTab(tabNamePanelName[1], null, sem02, null);\n addTab(tabNamePanelName[2], null, sem03, null);\n addTab(tabNamePanelName[3], null, sem04, null);\n addTab(tabNamePanelName[4], null, sem05, null);\n addTab(tabNamePanelName[5], null, sem06, null);\n addTab(tabNamePanelName[6], null, sem07, null);\n addTab(tabNamePanelName[7], null, sem08, null);\n addTab(tabNamePanelName[8], null, CGPA, null);\n setBounds(0, 0, 517, 291);\n setBackground(Color.YELLOW);\n }\n };\n\n for (int i = 0; i < 8; i++) {\n sem01.add(sem01PaperLabel[i]);\n sem01.add(sem01cb[i]);\n sem02.add(sem02PaperLabel[i]);\n sem02.add(sem02cb[i]);\n sem03.add(sem03PaperLabel[i]);\n sem03.add(sem03cb[i]);\n sem05.add(sem05PaperLabel[i]);\n sem05.add(sem05cb[i]);\n sem07.add(sem07PaperLabel[i]);\n sem07.add(sem07cb[i]);\n }\n for (int i = 0; i < sem4Map.size(); i++) {\n // sem04cb[i] = new ComboBoxCreation(sem04cb[i], sem04Subjects[i]);\n sem04PaperLabel[i] = new LabelCreation(sem04PaperLabel[i], sem04Subjects[i]);\n sem04.add(sem04PaperLabel[i]);\n sem04.add(sem04cb[i]);\n }\n\n for (int i = 0; i < sem6Map.size(); i++) {\n sem06PaperLabel[i] = new LabelCreation(sem06PaperLabel[i], sem06Subjects[i]);\n sem06.add(sem06PaperLabel[i]);\n sem06.add(sem06cb[i]);\n }\n\n for (int i = 0; i < sem8Map.size(); i++) {\n sem08PaperLabel[i] = new LabelCreation(sem08PaperLabel[i], sem08Subjects[i]);\n sem08.add(sem08PaperLabel[i]);\n sem08.add(sem08cb[i]);\n }\n\n sem01.add(calculateGPA[0]);\n sem01.add(ResetGPA[0]);\n sem02.add(calculateGPA[1]);\n sem02.add(ResetGPA[1]);\n sem03.add(calculateGPA[2]);\n sem03.add(ResetGPA[2]);\n sem04.add(calculateGPA[3]);\n sem04.add(ResetGPA[3]);\n sem05.add(calculateGPA[4]);\n sem05.add(ResetGPA[4]);\n sem06.add(calculateGPA[5]);\n sem06.add(ResetGPA[5]);\n sem07.add(calculateGPA[6]);\n sem07.add(ResetGPA[6]);\n sem08.add(calculateGPA[7]);\n sem08.add(ResetGPA[7]);\n sem08.add(resetAll);\n CGPA.add(calculateCGPA);\n\n // Creating an array of CGPA and GPA Buttons.\n ArrayList<JButton[]> allSemestersGPAButton = new ArrayList<>();\n allSemestersGPAButton.add(calculateGPA);\n ArrayList<JButton> allSemestersCGPAButton = new ArrayList<>();\n allSemestersCGPAButton.add(calculateCGPA);\n ArrayList<JButton[]> ResetButton = new ArrayList<>();\n ResetButton.add(ResetGPA);\n\n // Creating an Action Listener for all the pull down menus.\n for (JComboBox[] sem : allSemesters8) {\n for (int i = 0; i < 8; i++) {\n sem[i].addActionListener(\n new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent event) {\n\n JComboBox<String> combo = (JComboBox<String>) event.getSource();\n String gradeSelection = (String) combo.getSelectedItem();\n String semesterName = combo.getParent().getName();\n String subjectName = combo.getName();\n Double intGrade = letterGradeMap.get(gradeSelection);\n HashMap<String, Double> semGrades =\n resultsCGPA.getOrDefault(semesterName, new HashMap<>());\n semGrades.put(subjectName, intGrade);\n resultsCGPA.putIfAbsent(semesterName, semGrades);\n }\n });\n }\n }\n for (JComboBox[] sem : allSemesters9) {\n for (int i = 0; i < 9; i++) {\n sem[i].addActionListener(\n new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent event) {\n\n JComboBox<String> combo = (JComboBox<String>) event.getSource();\n String gradeSelection = (String) combo.getSelectedItem();\n String semesterName = combo.getParent().getName();\n String subjectName = combo.getName();\n Double intGrade = letterGradeMap.get(gradeSelection);\n HashMap<String, Double> semGrades =\n resultsCGPA.getOrDefault(semesterName, new HashMap<>());\n semGrades.put(subjectName, intGrade);\n resultsCGPA.putIfAbsent(semesterName, semGrades);\n }\n });\n }\n }\n for (JComboBox[] sem : semester8) {\n for (int i = 0; i < 4; i++) {\n sem[i].addActionListener(\n new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent event) {\n\n JComboBox<String> combo = (JComboBox<String>) event.getSource();\n String gradeSelection = (String) combo.getSelectedItem();\n String semesterName = combo.getParent().getName();\n String subjectName = combo.getName();\n Double intGrade = letterGradeMap.get(gradeSelection);\n HashMap<String, Double> semGrades =\n resultsCGPA.getOrDefault(semesterName, new HashMap<>());\n semGrades.put(subjectName, intGrade);\n resultsCGPA.putIfAbsent(semesterName, semGrades);\n }\n });\n }\n }\n\n // Creating an Action Listener for GPA Button.\n for (JButton[] cgp : allSemestersGPAButton) {\n for (int i = 0; i <= 7; i++) {\n cgp[i].addActionListener(\n new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent event) {\n JButton currentButton = (JButton) event.getSource();\n String semesterName = currentButton.getParent().getName();\n // System.out.println(semesterName);\n HashMap<String, Double> semGrades = resultsCGPA.get(semesterName);\n // semGrades.values().forEach(semesterSubjectsGradeMap.get(sem01Subjects));\n HashMap<String, Double> semGradesMax = perSemesterSubjectCredits.get(semesterName);\n Double sumOfGrades = 0d;\n for (Map.Entry<String, Double> entry : semGrades.entrySet()) {\n sumOfGrades += semGradesMax.get(entry.getKey()) * entry.getValue();\n }\n Double maxCreditsForSem = semGradesMax.values().stream().reduce(0d, Double::sum);\n Double gpa = sumOfGrades / maxCreditsForSem;\n long roundedInt = Math.round(gpa * 100);\n double result = (double) roundedInt / 100;\n currentButton.setText(\n \"(Click to Calculate again) Your GPA for this semester =\"\n + String.valueOf(result));\n }\n });\n }\n }\n\n // Creating an Action Listener for CGPA Button.\n for (JButton cgpa : allSemestersCGPAButton) {\n for (int i = 0; i <= 7; i++) {\n cgpa.addActionListener(\n new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent event) {\n JButton currentButton = (JButton) event.getSource();\n Double sumOfGradesReceived = 0d;\n Double totalCredits = 0d;\n for (String semCompleted : resultsCGPA.keySet()) {\n HashMap<String, Double> semGrades = resultsCGPA.get(semCompleted);\n HashMap<String, Double> semGradesMax =\n perSemesterSubjectCredits.get(semCompleted);\n totalCredits += semGradesMax.values().stream().reduce(0d, Double::sum);\n for (Map.Entry<String, Double> entry : semGrades.entrySet()) {\n sumOfGradesReceived += semGradesMax.get(entry.getKey()) * entry.getValue();\n }\n }\n Double cgpa = sumOfGradesReceived / totalCredits;\n long roundedInt = Math.round(cgpa * 100);\n double result = (double) roundedInt / 100;\n currentButton.setText(\n \"Your CGPA is =\" + String.valueOf(result) + \" \\n Click to Calculate again\");\n }\n });\n }\n }\n\n // Creating an Action Listener for Reset ComboBoxes Button.\n for (JButton[] reset : ResetButton) {\n for (int i = 0; i < perSemesterSubjectCredits.entrySet().size(); i++) {\n {\n reset[i].addActionListener(\n new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent event) {\n JButton currentButton = (JButton) event.getSource();\n String semesterName = currentButton.getParent().getName();\n String panelName = currentButton.getName();\n for (JComboBox semesterComboBoxes : allComboBoxes.get(semesterName)) {\n semesterComboBoxes.setSelectedIndex(0);\n resultsCGPA.get(semesterName).keySet().clear();\n cgpaButtons.get(semesterName).setText(\"Calculate GPA\");\n }\n }\n });\n }\n }\n\n resetAll.addActionListener(\n new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent event) {\n for (Map.Entry<String, JComboBox[]> entry : allComboBoxes.entrySet()) {\n for(JComboBox boxes : entry.getValue ()){\n boxes.setSelectedIndex ( 0 );\n }\n }\n resultsCGPA.clear();\n for (int i = 0; i <= perSemesterSubjectCredits.keySet().size(); i++) {\n //semesterComboBoxes[i].setSelectedIndex(0);\n resultsCGPA.clear();\n for (JButton[] cgp : allSemestersGPAButton) {\n for (int l = 0; l <= 7; l++) {\n cgp[l].setText(\"Calculate GPA\");\n }\n for (JButton ccgp : allSemestersCGPAButton) {\n for (int m = 0; m <= 7; m++) {\n ccgp.setText(\"Calculate CGPA\");\n }\n }\n }\n }\n }\n\n });\n\n // Creating a Tabbed Pane and adding all panels into it.\n getContentPane().add(semesterPane);\n setSize(1300, 500);\n setTitle(\"CGPA Calculation Screen\");\n setLocationRelativeTo(null);\n setResizable(false);\n setVisible(true);\n setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\n }\n }","public void calculateScore() {\n for (Sequence seq: currentSeq) {\n double wordWeight = Retriever.getWeight(seq);\n String token = seq.getToken();\n int size = seq.getRight() - seq.getLeft() + 1;\n int titleCount = getCount(token.toLowerCase(), title.toLowerCase());\n if (titleCount != 0) {\n setMatch(size);\n setTitleContains(true);\n }\n int lowerCount = getCount(token.toLowerCase(), lowerContent);\n if (lowerCount == 0) {\n// scoreInfo += \"Token: \" + token + \" Original=0 Lower=0 WordWeight=\" + wordWeight + \" wordTotal=0\\n\";\n continue;\n }\n int originalCount = getCount(token, content);\n lowerCount = lowerCount - originalCount;\n if (lowerCount != 0 || originalCount != 0) {\n setMatch(size);\n }\n double originalScore = formula(wordWeight, originalCount);\n double lowerScore = formula(wordWeight, lowerCount);\n final double weight = 1.5;\n double addedScore = weight * originalScore + lowerScore;\n// scoreInfo += \"Token: \" + token + \" Original=\" + originalScore + \" Lower=\" + lowerScore +\n// \" WordWeight=\" + wordWeight + \" wordTotal=\" + addedScore + \"\\n\";\n dependencyScore += addedScore;\n }\n currentSeq.clear();\n }","public static void main( String args[] ) throws Exception\n\t{\n\t\t\tBufferedReader infile = new BufferedReader( new FileReader( \"ExamScores.txt\" ) );\n\n\t\t\t// you declare all needed ArrayLists and other variables from here on.\n\t\t\tArrayList<String> lines = new ArrayList<String>();\n\n\t\t\tSystem.out.println(\"\\nSTEP #1: 50%\"); // 50%\n\t\t\twhile (infile.ready()) {\n\t\t\t\tString line = infile.readLine();\n\t\t\t\tSystem.out.println(line);\n\t\t\t\tlines.add(line);\n\t\t\t}\n\t\t\tinfile.close();\n\n\n\t\t\tSystem.out.println(\"\\nSTEP #2: 25%\"); // 75 %\n\t\t\tCollections.sort(lines);\n\t\t\tfor (String s: lines)\n\t\t\t\tSystem.out.println(s);\n\n\t\t\tSystem.out.println(\"\\nSTEP #3: 10%\"); // 85%\n\n\t\t\tTreeMap<String, ArrayList<Integer>> st2sc = new TreeMap<String, ArrayList<Integer>>();\n\t\t\tTreeMap<Double, String> ave2st = new TreeMap<Double, String>();\n\t\t\tint[] sum = new int[lines.get(0).split(\"\\\\s+\").length-1];\n\t\t\t\n\t\t\tinfile = new BufferedReader ( new FileReader(\"query.txt\") );\n\t\t\tString[] queryS= infile.readLine().split(\" \");\n\t\t\tint[] query = new int[queryS.length];\n\t\t\tfor (int i=0; i<queryS.length; i++)\n\t\t\t\tquery[i]=Integer.parseInt(queryS[i]);\n\t\t\tfor (String s: lines)\n\t\t\t{\t\n\t\t\t\tdouble sumq = 0;\n\t\t\t\tdouble aveq = 0;\n\t\t\t\tString[] tokens = s.split(\"\\\\s+\");\n\t\t\t\tArrayList<Integer> scores = new ArrayList<Integer>();\n\t\t\t\tfor (int t=1; t<tokens.length; t++){\n\t\t\t\t\tscores.add(Integer.parseInt(tokens[t]));\n\t\t\t\t}\n\t\t\t\tst2sc.put(tokens[0], scores);\n\t\t\t\tfor (int q: query)\n\t\t\t\t\tsumq += Integer.parseInt(tokens[q]);\n\t\t\t\tfor (int nth = 0; nth<sum.length; nth++){\n\t\t\t\t\tsum[nth]+= Integer.parseInt(tokens[nth+1]);\n\t\t\t\t}\n\t\t\t\taveq = sumq/3;\n\t\t\t\tave2st.put(aveq, tokens[0]);\n\t\t\t}\n\t\t\tfor (double f: ave2st.keySet())\n\t\t\t\tSystem.out.printf(ave2st.get(f)+\" \"+\"%.2f\\n\", f);\n\n\t\t\tSystem.out.println(\"\\nSTEP #4: 15%\"); // 100%\n\t\t\t\n\t\t\tint lowest = sum[0];\n\t\t\tint which = 0;\n\t\t\tfor (int i=1; i<sum.length; i++)\n\t\t\t{\n\t\t\t\tif (sum[i]<lowest)\n\t\t\t\t{\n\t\t\t\t\tlowest = sum[i];\n\t\t\t\t\twhich = i;\n\t\t\t\t}\n\t\t\t}\n\t\t\tSystem.out.println(\"exam\"+(which+1)+\" had the lowest average\");\n\n\n\t}","private void histogramScore() {\r\n View.histogram(score, 0, this.getSize().width + 15, 0);\r\n }","public List<Page> hits(String query) {\n\t\t// pages <- EXPAND-PAGES(RELEVANT-PAGES(query))\n\t\tList<Page> pages = expandPages(relevantPages(query));\n\t\t// for each p in pages\n\t\tfor (Page p : pages) {\n\t\t\t// p.AUTHORITY <- 1\n\t\t\tp.authority = 1;\n\t\t\t// p.HUB <- 1\n\t\t\tp.hub = 1;\n\t\t}\n\t\t// repeat until convergence do\n\t\twhile (!convergence(pages)) {\n\t\t\t// for each p in pages do\n\t\t\tfor (Page p : pages) {\n\t\t\t\t// p.AUTHORITY <- &Sigma<sub>i</sub> INLINK<sub>i</sub>(p).HUB\n\t\t\t\tp.authority = SumInlinkHubScore(p);\n\t\t\t\t// p.HUB <- Σ<sub>i</sub> OUTLINK<sub>i</sub>(p).AUTHORITY\n\t\t\t\tp.hub = SumOutlinkAuthorityScore(p);\n\t\t\t}\n\t\t\t// NORMALIZE(pages)\n\t\t\tnormalize(pages);\n\t\t}\n\t\treturn pages;\n\n\t}","private void bigWigToScores(BBFileReader reader){\n\n\t\t// List of length equal to screen size. Each inner map contains info about the screen locus \n\t\tList<ScreenWiggleLocusInfo> screenWigLocInfoList= new ArrayList<ScreenWiggleLocusInfo>();\n\t\tfor(int i= 0; i < getGc().getUserWindowSize(); i++){\n\t\t\tscreenWigLocInfoList.add(new ScreenWiggleLocusInfo());\n\t\t}\n\t\t\n\t\tBigWigIterator iter = reader.getBigWigIterator(getGc().getChrom(), getGc().getFrom(), getGc().getChrom(), getGc().getTo(), false);\n\t\twhile(iter.hasNext()){\n\t\t\tWigItem bw = iter.next();\n\t\t\tfor(int i= bw.getStartBase(); i <= bw.getEndBase(); i++){\n\t\t\t\tint idx= Utils.getIndexOfclosestValue(i, getGc().getMapping()); // Where should this position be mapped on screen?\n\t\t\t\tscreenWigLocInfoList.get(idx).increment(bw.getWigValue());\n\t\t\t} \n\t\t}\n\t\tArrayList<Double> screenScores= new ArrayList<Double>();\n\t\tfor(ScreenWiggleLocusInfo x : screenWigLocInfoList){\n\t\t\tscreenScores.add((double)x.getMeanScore());\n\t\t}\n\t\tthis.setScreenScores(screenScores);\t\t\n\t}","private double calcScorePercent() {\n\t\tdouble adjustedLab = totalPP * labWeight;\n\t\tdouble adjustedProj = totalPP * projWeight;\n\t\tdouble adjustedExam = totalPP * examWeight;\n\t\tdouble adjustedCodeLab = totalPP * codeLabWeight;\n\t\tdouble adjustedFinal = totalPP * finalWeight;\n\n\t\tlabScore = (labScore / labPP) * adjustedLab;\n\t\tprojScore = (projScore / projPP) * adjustedProj;\n\t\texamScore = (examScore / examPP) * adjustedExam;\n\t\tcodeLabScore = (codeLabScore / codeLabPP) * adjustedCodeLab;\n\t\tfinalExamScore = (finalExamScore / finalExamPP) * adjustedFinal;\n\n//\t\tdouble labPercent = labScore / adjustedLab;\n//\t\tdouble projPercent = projScore / adjustedProj;\n//\t\tdouble examPercent = examScore / adjustedExam;\n//\t\tdouble codeLabPercent = codeLabScore / adjustedCodeLab;\n//\t\tdouble finalPercent = finalExamScore / adjustedFinal;\n\n\t\tdouble totalPercent = (labScore + projScore + examScore + codeLabScore + finalExamScore) / totalPP;\n\t\t\n\t\tscorePercent = totalPercent;\n\t\t\n\t\treturn totalPercent;\n\t}","private void calculateOverall()\n {\n ArrayList<Integer> average = new ArrayList<Integer>(1);\n ArrayList<Integer> median = new ArrayList<Integer>(1);\n ArrayList<Integer> mode = new ArrayList<Integer>();\n ArrayList<Integer> stdDev = new ArrayList<Integer>(1);\n \n int avg = 0;\n int med = 90;\n int mod = 90;\n int dev = 0;\n \n int[] modeArray = new int[100];\n \n for (int i = 0; i < 100; i++) {\n \tmodeArray[i] = 0;\n }\n \n for (Integer score : allScores) {\n \tavg += score;\n \tmodeArray[score]++;\n }\n \n for (int i = 0; i < 100; i++) {\n \tif (modeArray[i] > mod) {\n \t\tmod = modeArray[i];\n \t}\n }\n \n avg = avg / allScores.size();\n \n Collections.sort(allScores);\n med = allScores.get(allScores.size() / 2);\n \n for (Integer score : allScores) {\n \tdev += Math.pow(score - avg, 2);\n }\n dev = (int)Math.floor(Math.sqrt(dev / allScores.size()));\n\n // TODO: Perform the actual calculations here\n average.add(avg);\n median.add(med);\n mode.add(mod);\n stdDev.add(dev);\n\n this.overallAnalytics.put(\"Average\", average);\n this.overallAnalytics.put(\"Median\", median);\n this.overallAnalytics.put(\"Mode\", mode);\n this.overallAnalytics.put(\"Standard Deviation\", stdDev);\n }","public double SumOutlinkAuthorityScore(Page page) {\n\t\tList<String> outLinks = page.getOutlinks();\n\t\tdouble authScore = 0;\n\t\tfor (String outLink1 : outLinks) {\n\t\t\tPage outLink = pTable.get(outLink1);\n\t\t\tif (outLink != null)\n\t\t\t\tauthScore += outLink.authority;\n\t\t}\n\t\treturn authScore;\n\t}","int getPagesAmount();","public Iterator rankOrdering(Iterator pages)\n\t{\n\t\t//Iterator allWebNode = ind.retrievePages(keyword);\n\t\tIterator allWebNode = pages;\n\t\tif(allWebNode.hasNext()){\n\t\t\tWebNode wb = (WebNode) allWebNode.next();\n\t\t\tint score = wb.getInDegree() * wb.getWordFreq(keyword);\n\t\t\twb.keywordScore = score;\n\t\t\taL.add(wb); \n\t\t}\n\t\t\n\t\twhile (allWebNode.hasNext()) {\n\t\t\tWebNode nwb = (WebNode) allWebNode.next();\n\t\t\tint nscore = nwb.getInDegree() * nwb.getWordFreq(keyword);\n\t\t\tnwb.keywordScore = nscore;\n\t\t\tint i = 0; \n\t\t\twhile(i<aL.size()){\n\t\t\t\tif (nwb.keywordScore < ((WebNode) aL.get(i)).keywordScore)\n\t\t\t \ti++;\n\t\t\t else\n\t\t\t \taL.add(i,nwb);\n\t\t\t} \n\t\t}\n\t\t\n\t\treturn aL.iterator();\n\t}","public double SumInlinkHubScore(Page page) {\n\t\tList<String> inLinks = page.getInlinks();\n\t\tdouble hubScore = 0;\n\t\tfor (String inLink1 : inLinks) {\n\t\t\tPage inLink = pTable.get(inLink1);\n\t\t\tif (inLink != null)\n\t\t\t\thubScore += inLink.hub;\n\t\t\t// else: page is linked to by a Page not in our table\n\t\t}\n\t\treturn hubScore;\n\t}","protected void adjustScore() {\r\n scoreMultiplier = (int) (mineField.getDensity() * 100);\r\n maxScore = scoreMultiplier * (int) Math.pow( mineField.getFieldLength(), 2.0 );\r\n }","private void updateTotalPageNumbers() {\n totalPageNumbers = rows.size() / NUM_ROWS_PER_PAGE;\n }","void printScore(double sum[]){\n \n if((sum[1] > sum [4]) && (sum[1] > sum[5]) ){\n System.out.println(\"among 1 4 5 => 1\");\n }\n if((sum[4] > sum [1]) && (sum[4] > sum[5]) ){\n System.out.println(\"among 1 4 5 => 4\");\n }\n if((sum[5] > sum [1]) && (sum[5] > sum[4]) ){\n System.out.println(\"among 1 4 5 => 5\");\n }\n if((sum[2] > sum [6]) && (sum[2] > sum[8]) ){\n System.out.println(\"among 2 6 8 => 2\");\n }\n if((sum[6] > sum [2]) && (sum[6] > sum[8]) ){\n System.out.println(\"among 2 6 8 => 6\");\n }\n if((sum[8] > sum [2]) && (sum[8] > sum[6]) ){\n System.out.println(\"among 2 6 8 => 8\");\n }\n if((sum[3] > sum [0]) && (sum[3] > sum[7]) ){\n System.out.println(\"among 3 0 7 => 3\");\n }\n if((sum[0] > sum [3]) && (sum[0] > sum[7]) ){\n System.out.println(\"among 3 0 7 => 0\");\n }\n if((sum[7] > sum [3]) && (sum[7] > sum[0]) ){\n System.out.println(\"among 3 0 7 => 7\");\n }\n }","public void loadScore() {\n for (int i = 0; i < 4; i++) {\n int[] enemyTankNum = CollisionUtility.getEnemyTankNum();\n tankNumList[i] = enemyTankNum[i];\n }\n for (int i = 0; i < 4; i++) {\n tankScoreList[i] = tankNumList[i] * 100 * (i + 1);\n }\n for (Integer score : tankScoreList) {\n totalScore += score;\n }\n for (Integer num : tankNumList) {\n totalTankNum += num;\n }\n }","public double computePageRank(URI pageUri) {\n \treturn this.pageRanks.containsKey(pageUri) ? this.pageRanks.get(pageUri) : 0.0;\n }","public static int generateScore(LinkedList<MatchInterface> subClasses,\r\n\t\t\tLinkedList<ElementMatch> elements) {\r\n\t\tdouble total_weight = 0;\r\n\t\tint score = 0;\r\n\r\n\t\tElementMatch el;\r\n\t\tMatchInterface mat;\r\n\t\tIterator<ElementMatch> iterel;\r\n\t\tIterator<MatchInterface> itermatch;\r\n\r\n\t\titerel = elements.iterator();\r\n\t\twhile (iterel.hasNext()) {\r\n\t\t\tel = iterel.next();\r\n\t\t\ttotal_weight += el.getWeight();\r\n\t\t}\r\n\t\titermatch = subClasses.iterator();\r\n\t\twhile (itermatch.hasNext()) {\r\n\t\t\tmat = itermatch.next();\r\n\t\t\ttotal_weight += mat.getWeight();\r\n\t\t}\r\n\t\tdouble temp;\r\n\t\tdouble elmlocalscore = 0.0;\r\n\r\n\t\titerel = elements.iterator();\r\n\t\twhile (iterel.hasNext()) {\r\n\t\t\tel = iterel.next();\r\n\t\t\ttemp = (el.getWeight() / total_weight) * 2000\r\n\t\t\t\t\t* el.numMatchedEntries()\r\n\t\t\t\t\t/ (el.numEntryFirstUser() + el.numEntrySecondUser());\r\n\r\n\t\t\ttry {\r\n\t\t\t\telmlocalscore = 2000 * el.numMatchedEntries()\r\n\t\t\t\t\t\t/ (el.numEntryFirstUser() + el.numEntrySecondUser());\r\n\t\t\t} catch (ArithmeticException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\t// e.printStackTrace();\r\n\t\t\t}\r\n\r\n\t\t\tif (temp >= 0 && temp <= 1000) {\r\n\t\t\t\tscore += temp;\r\n\t\t\t\tel.setScore(elmlocalscore);\r\n\t\t\t} else {\r\n\t\t\t\tel.setScore(0);\r\n\t\t\t}\r\n\t\t}\r\n\t\titermatch = subClasses.iterator();\r\n\t\twhile (itermatch.hasNext()) {\r\n\t\t\tmat = itermatch.next();\r\n\t\t\tscore += (mat.getWeight() / total_weight) * mat.generateScore();\r\n\t\t}\r\n\t\treturn score;\r\n\t}","public void calculateScores()\r\n {\r\n for(int i = 0; i < gameBoard.getBoardRows(); i++)\r\n for(int j = 0; j < gameBoard.getBoardCols(); j++)\r\n {\r\n if(gameBoard.tilePlayer(i,j) == 0)\r\n currentRedScore = currentRedScore + gameBoard.tileScore(i,j);\r\n if(gameBoard.tilePlayer(i,j) == 1)\r\n currentBlueScore = currentBlueScore + gameBoard.tileScore(i,j);\r\n }\r\n }","@Test\r\n public void calculateScore() {\r\n board3.swapTiles(0,0,1,1);\r\n board3.getSlidingScoreBoard().setTime(2);\r\n board3.getSlidingScoreBoard().calculateScore();\r\n assertEquals(496, board3.getSlidingScoreBoard().getScore());\r\n }","public double maths(double algebra,double stats,double proof,double setTheory, double mathExam)\n {\n double a = ((10%100)*algebra)/100;\n double b = ((15%100)*stats)/100;\n double c = ((12.5%100)*proof)/100;\n double d = ((12.5%100)*setTheory)/100;\n double e = ((50%100)*setTheory)/100;\n double grade = ((a+b+c+d+e)/8);//*100;\n return grade;\n }","public double web(double html,double javascript,double mySQL,double php,double webExam)\n {\n double a = ((10%100)*html)/100;\n double b = ((15%100)*javascript)/100;\n double c = ((12.5%100)*mySQL)/100;\n double d = ((12.5%100)*php)/100;\n double e = ((50%100)*webExam)/100;\n double grade = ((a+b+c+d+e)/8);//*100;\n return grade;\n }","@Override\n public void setContentProportion(int good, int firstpageNum) {\n }","public int getHomeScore();","private double getPercentage(View child, int screen){\n /* CellLayout related size\n * current content\n * ***************\n * ********* ********* ********* *********\n * * * * * * * * *\n * * * * * * * * *\n * * * * * * * * *\n * * * * * * * * *\n * ********* ********* ********* *********\n * *** ***************\n * * *\n * * *\n * * getWidth() == child.getWidth() + 2 * gapOfCellLayouts\n * gapOfCellLayouts\n *\n * mScroll change (child.getWidth() + gapOfCellLayouts) every time you scroll\n */\n\n // the gap between two CellLayouts\n double gapOfCellLayouts = ( getWidth() - child.getWidth() ) / 2;\n double molecular = getScrollX() - ( getChildOffset(screen) - gapOfCellLayouts );\n double denominator = child.getWidth() + gapOfCellLayouts;\n double percentage = molecular / denominator;\n\n if( percentage < -1 || percentage > 1 ) {\n // for the scroll between first and last screen\n if( getScrollX() < 0 ) {\n percentage = 1 + getScrollX() / denominator;\n }else{\n int last = getChildCount() - 1;\n int leftEdge = getChildOffset(last) + child.getWidth();\n /* YUNOS BEGIN PB*/\n //##modules(HomeShell): ##author:guoshuai.lgs\n //##BugID:(5419657) ##date:2014/10/30\n //##decrpition: check the current screen position in editmode.\n if (mLauncher.isEditMode()) {\n if ((getChildOffset(screen) + child.getWidth()) > getScrollX()) {\n percentage = (getScrollX() - leftEdge) / denominator;\n }\n } else {\n percentage = (getScrollX() - leftEdge) / denominator;\n }\n //percentage = (getScrollX() - leftEdge) / denominator;\n /* YUNOS END PB*/\n }\n }\n\n return percentage;\n }","public void calcScore(int score) {\r\n\t\tif (initFinish)\r\n\t\t\tthis.score += score * this.multy;\r\n\t\t// TODO delete\r\n//\t\tSystem.out.println(\"score: \" + this.score + \"multy: \" + this.multy);\r\n\t}","private void weeklyScores(RoutingContext context) {\n\t}","double calculateScore(String documentId);","public ScoreboardHandler addPages(ScoreboardPage... pages)\n {\n this.pages.addAll(Arrays.asList(pages));\n\n return this;\n }","void addScore(double score){\n\t\tsumScore+=score;\n\t\tnumScores++;\n\t\taverage = sumScore/numScores;\n\t}","public void report(List<Page> result) {\n\n\t\t// Print Pages out ranked by highest authority\n\t\tsortAuthority(result);\n\t\tSystem.out.println(\"AUTHORITY RANKINGS : \");\n\t\tfor (Page currP : result)\n\t\t\tSystem.out.printf(currP.getLocation() + \": \" + \"%.5f\" + '\\n', currP.authority);\n\t\tSystem.out.println();\n\t\t// Print Pages out ranked by highest hub\n\t\tsortHub(result);\n\t\tSystem.out.println(\"HUB RANKINGS : \");\n\t\tfor (Page currP : result)\n\t\t\tSystem.out.printf(currP.getLocation() + \": \" + \"%.5f\" + '\\n', currP.hub);\n\t\tSystem.out.println();\n\t\t// Print Max Authority\n\t\tSystem.out.println(\"Page with highest Authority score: \" + getMaxAuthority(result).getLocation());\n\t\t// Print Max Authority\n\t\tSystem.out.println(\"Page with highest Hub score: \" + getMaxAuthority(result).getLocation());\n\t}","private double scorePonderated(int i, int total) {\r\n\t\tif (total == 1) {\r\n\t\t\treturn 100.0;\r\n\t\t}\r\n\t\tdouble score = 100.0 / (2.0 * (i + 1));\r\n\t\treturn score;\r\n\t}","public static void sumTotalScore() {\n totalScore += addRandomScore();;\n }","public static void incrementScore() {\n\t\tscore++;\n\t}","public void process()\n {\n for (int i = 0; i <= names.length-1; i++)\n {\n int x = 0;\n System.out.println(\"\");\n System.out.print(names[i] + \" had test scores of \");\n for (int j = 0; j <= scores[0].length-1; j++)\n {\n System.out.print(scores[i][j] + \", \");\n \n x += scores[i][j];\n \n }\n System.out.print(\" Test average is \" + x/4 + \".\");\n }\n System.out.println(\"\");\n findL();\n findH();\n findAvg();\n }","public void printInfo() {\n System.out.println(\"\\n\\n---------------------BASIC RESULTS-----------------------\\n\");\n System.out.println(\"Most positive article: \" + mostPositiveDoc + \"\\nwith positivity \" + mostPositive + \"\\n\");\n System.out.println(\"Most negative article: \" + mostNegativeDoc + \"\\nwith negativity \" + mostNegative + \"\\n\");\n if (biggestDifference >= 0) {\n System.out.println(\"Biggest difference: \" + biggestDifferenceDoc + \"\\nwith more positivity by \" + biggestDifference);\n } else {\n System.out.println(\"Biggest difference: \" + biggestDifferenceDoc + \"\\nwith more negativity by \" + Math.abs(biggestDifference));\n }\n \n System.out.println(\"\\nAverage positivity: \" + avgPositive);\n System.out.println(\"Average negativity: \" + avgNegative);\n System.out.println(\"\\n-----------------------------------------------------------\\n\");\n System.out.println(\"\\n---------------------ADVANCED RESULTS----------------------\");\n \n System.out.println(\"\\nAverage positivity for PUBLISHERS:\");\n for (String s : publisherOptimism.keySet()) {\n LinkedList<Double> positives = publisherOptimism.get(s);\n int size = positives.size();\n double total = 0;\n for (double d : positives) {\n total += d;\n }\n System.out.println(s + \", positivity = \" + total / size);\n }\n \n System.out.println(\"\\nAverage negativity for PUBLISHERS:\");\n for (String s : publisherPessimism.keySet()) {\n LinkedList<Double> negatives = publisherPessimism.get(s);\n int size = negatives.size();\n double total = 0;\n for (double d : negatives) {\n total += d;\n }\n System.out.println(s + \", negativity = \" + total / size);\n }\n \n System.out.println(\"\\nAverage positivity for REGIONS:\");\n for (String s : regionOptimism.keySet()) {\n LinkedList<Double> positives = regionOptimism.get(s);\n int size = positives.size();\n double total = 0;\n for (double d : positives) {\n total += d;\n }\n System.out.println(s + \", positivity = \" + total / size);\n }\n \n System.out.println(\"\\nAverage negativity for REGIONS:\");\n for (String s : regionPessimism.keySet()) {\n LinkedList<Double> negatives = regionPessimism.get(s);\n int size = negatives.size();\n double total = 0;\n for (double d : negatives) {\n total += d;\n }\n System.out.println(s + \", negativity = \" + total / size);\n }\n \n System.out.println(\"\\nAverage positivity for DATES:\");\n for (LocalDate s : dayOptimism.keySet()) {\n LinkedList<Double> positives = dayOptimism.get(s);\n int size = positives.size();\n double total = 0;\n for (double d : positives) {\n total += d;\n }\n System.out.println(s + \", positivity = \" + total / size);\n }\n \n System.out.println(\"\\nAverage negativity for DATES:\");\n for (LocalDate s : dayPessimism.keySet()) {\n LinkedList<Double> negatives = dayPessimism.get(s);\n int size = negatives.size();\n double total = 0;\n for (double d : negatives) {\n total += d;\n }\n System.out.println(s + \", negativity = \" + total / size);\n }\n \n System.out.println(\"\\nAverage positivity for WEEKDAYS:\");\n for (DayOfWeek s : weekdayOptimism.keySet()) {\n LinkedList<Double> positives = weekdayOptimism.get(s);\n int size = positives.size();\n double total = 0;\n for (double d : positives) {\n total += d;\n }\n System.out.println(s + \", positivity = \" + total / size);\n }\n \n System.out.println(\"\\nAverage negativity for WEEKDAYS:\");\n for (DayOfWeek s : weekdayPessimism.keySet()) {\n LinkedList<Double> negatives = weekdayPessimism.get(s);\n int size = negatives.size();\n double total = 0;\n for (double d : negatives) {\n total += d;\n }\n System.out.println(s + \", negativity = \" + total / size);\n }\n \n System.out.println(\"\\n-----------------------------------------------------------\\n\");\n \n }","@Override\r\n public void reduce(Text page, Iterable<Text> values, Context context) throws IOException, InterruptedException {}","public void give_score(int n){\n final_score=0.25*(n-m.get_m()+1)+0.2*(n-h.get_h()+1)+0.25*(n-l.get_l()+1)+0.3*(n-a.get_a()+1);\r\n }","private Map<Double, List<String>> getScoreMap() {\n\t\t//dfMap = new HashMap<String, Integer>();\n\t\t\n\t\tfor (Map.Entry<String, FreqAndLists> entry: map.entrySet()) {\n\t\t\tString term = entry.getKey();\n\t\t\tif (originalTerms.contains(term)) { // expanded terms should not contain original terms\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tdouble totalScore = 0;\n\t\t\tList<PositionList> postingList = entry.getValue().getPostingList();\n\t\t\tfor (PositionList positionList : postingList) {\n\t\t\t\tlong dr = positionList.getDocID();\n\t\t\t\tint rawDf = GetRawDf.getRawDf(qryId, term);\n\t\t\t\t//dfMap.put(term, rawDf);\n\t\t\t\ttotalScore += sf.getScore(term, dr, rawDf);\n\t\t\t}\n\t\t\t//System.out.println(term + \" \" + totalScore);\n\t\t\tif (scoreMap.containsKey(totalScore)) {\n\t\t\t\tscoreMap.get(totalScore).add(term);\n\t\t\t} else {\n\t\t\t\tList<String> list = new ArrayList<>();\n\t\t\t\tlist.add(term);\n\t\t\t\tscoreMap.put(totalScore, list);\n\t\t\t}\n\t\t}\n\t\t\n\t\t/*for (Map.Entry<Double, List<String>> entry : scoreMap.entrySet()) {\n\t\t\tSystem.out.println(\"000 \" + entry.getKey());\n\t\t\tList<String> list = entry.getValue();\n\t\t\tfor (String term : list) {\n\t\t\t\tSystem.out.println(\" \" + term);\n\t\t\t}\n\t\t}*/\n\t\t\n\t\t//writeToFile();\n\t\treturn scoreMap;\n\t}","public void setHomeScore(int h);","public static int PagesFitler(String text) {\n\t\tString name = text.replaceAll(\"[^0-9]+\",\"\");\n\t\tSystem.out.println(\" -->\" +name);\n\t\tint n = (int)Math.round(Double.parseDouble(name)/20.00);\n\t\treturn n;\n\t}","public void score(){\n\t\tscores=new float[3];\n\t\ttop3=new String[3];\n\t\tfor(int i=0;i<3;i++){\n\t\t\ttop3[i]=new String();\n\t\t\tscores[i]=(float)0;\n\t\t}\n\t\t//System.out.println(doclist.size());\n\t\tfor(int i=0;i<doclist.size();i++){\n\t\t\ttry{\n\t\t\t\tDocProcessor dp=new DocProcessor(doclist.get(i));\n\t\t\t\tdp.tokenizing();\n\t\t\t\tdp.stem();\n\t\t\t\t//System.out.println(dp.getContent());\n\t\t\t\t/*for(int j=2;j>=0;j--){\n\t\t\t\t\tSystem.out.println(\"top\"+(3-j)+\": \"+scores[j]);\n\t\t\t\t\tSystem.out.println(top3[j]);\n\t\t\t\t}*/\n\t\t\t\tfloat score=dp.score(this.keywords);\n\t\t\t\tfor(int j=2;j>=0;j--){\n\t\t\t\t\tif(score>scores[j]){\n\t\t\t\t\t\tfor(int k=0;k<j;k++){\n\t\t\t\t\t\t\tscores[k]=scores[k+1];\n\t\t\t\t\t\t\ttop3[k]=top3[k+1];\n\t\t\t\t\t\t}\n\t\t\t\t\t\tscores[j]=score;\n\t\t\t\t\t\ttop3[j]=dp.getContent();\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t/*for(int j=2;j>=0;j--){\n\t\t\t\t\tSystem.out.println(\"top\"+(3-j)+\": \"+scores[j]);\n\t\t\t\t\tSystem.out.println(top3[j]);\n\t\t\t\t}\n\t\t\t\tSystem.out.println(\"*******************************\");*/\n\t\t\t}catch(NullPointerException f){\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t}\n\t}","public static void grade(int size)\n {\n int score = 0;\n for(int i = 0; i<size;i++)\n {\n if(answer[i] == nb1[i] + nb2[i])\n {\n score+=10;\n }\n }\n System.out.println(\"Votre score est \" + score+\"/100\");\n }","public void scores(HashMap<String, Integer> scoreboard) {\r\n\t\tclear_screen();\r\n\t\t// Le tableau de scores arrive déjà trié.\r\n\t\tJLabel sc = new JLabel(\"Partie Terminé. Tableau des scores : \");\r\n\t\tsc.setBounds(0, 0, 1280, 40);\r\n\t\tsc.setFont(new Font(sc.getFont().getName(), Font.BOLD, 30));\r\n\t\tthis.add(sc);\r\n\r\n\t\tint begin = 60;\r\n\r\n\t\tfor (Map.Entry<String, Integer> elt : scoreboard.entrySet()) {\r\n\t\t\tJLabel u_score = new JLabel(elt.getKey()+\" : \"+elt.getValue()+\" points\", SwingConstants.CENTER);\r\n\t\t\tu_score.setFont(new Font(sc.getFont().getName(), Font.PLAIN, 20));\r\n\t\t\tu_score.setBounds(0, begin, 1280, 30);\r\n\t\t\tthis.add(u_score);\r\n\t\t\tbegin+=40;\r\n\t\t}\r\n\r\n\t\tclose = new JButton(\"Fermer\");\r\n\t\tclose.setBounds(5, 640,150,40);\r\n\t\tthis.add(close);\r\n\t\tclose.addActionListener(this);\r\n\t}","private void lineScore(int nbLine) {\n switch (nbLine) {\n case 1:\n score += level * 100;\n break;\n case 2:\n score += level * 300;\n break;\n case 3:\n score += level * 500;\n break;\n case 4:\n score += level * 800;\n break;\n }\n }","private double getScore() {\n double score = 0;\n score += getRBAnswers(R.id.radiogroup1, R.id.radiobutton_answer12);\n score += getRBAnswers(R.id.radiogroup2, R.id.radiobutton_answer21);\n score += getRBAnswers(R.id.radiogroup3, R.id.radiobutton_answer33);\n score += getRBAnswers(R.id.radiogroup4, R.id.radiobutton_answer41);\n score += getCBAnswers();\n score += getTextAns();\n score = Math.round(score / .0006);\n score = score / 100;\n return score;\n }","private Integer calculateScoreNumber(double score)\r\n\t{\r\n\t\t//Formula for scoreNumber => {intValue / 0.25} + {number associated \r\n\t\t//with fractionalValue based on which range it belongs to}\r\n\t\tint scoreNumber = (int)(score / 0.25);\r\n\t\tdouble fractionValue = score % 0.25;\r\n\r\n\t\tif(fractionValue > 0.12)\r\n\t\t\tscoreNumber++;\r\n\r\n\t\treturn scoreNumber;\r\n\t}","public void setScores(BigDecimal scores) {\n this.scores = scores;\n }","public void summarizeSpaceEfficient() {\n int maxLevel = Collections.max(CALattice.levelMap.keySet());\n for (int i = maxLevel; i >= 0; i--) {\n summarizeSpaceEfficientHelper(CALattice.levelMap.get(i));\n //freeing memory\n if (i < maxLevel)\n freeMemory(CALattice.levelMap.get(i + 1));\n }\n }","private void setPageSettings() {\n\n List<Element> paragraphs = br.ufrgs.artic.utils.FileUtils.getElementsByTagName(\"para\", omniPageXMLDocument.getDocumentElement());\n\n int lineCounter = 0;\n int fontSizeSum = 0;\n if (paragraphs != null && !paragraphs.isEmpty()) {\n\n int biggestTop = 0;\n int biggestLeft = 0;\n for (Element paragraphElement : paragraphs) {\n\n List<Element> linesOfParagraph = br.ufrgs.artic.utils.FileUtils.getElementsByTagName(\"ln\", paragraphElement);\n\n if (linesOfParagraph != null && !linesOfParagraph.isEmpty()) {\n for (Element lineElement : linesOfParagraph) {\n String fontFace = lineElement.getAttribute(\"fontFace\");\n\n if (fontFace == null || fontFace.isEmpty()) { //if yes, start run merge process\n augmentLineElement(lineElement);\n }\n\n if (lineElement.getAttribute(\"t\") != null && !lineElement.getAttribute(\"t\").isEmpty() &&\n lineElement.getAttribute(\"l\") != null && !lineElement.getAttribute(\"l\").isEmpty()) {\n int top = Integer.parseInt(lineElement.getAttribute(\"t\").replaceAll(\",\", \"\\\\.\"));\n\n if (top > biggestTop) {\n biggestTop = top;\n }\n\n int left = Integer.parseInt(lineElement.getAttribute(\"l\").replaceAll(\",\", \"\\\\.\"));\n\n if (left > biggestLeft) {\n biggestLeft = left;\n }\n }\n\n double fontSize = 0;\n if (lineElement.getAttribute(\"fontSize\") != null && !lineElement.getAttribute(\"fontSize\").isEmpty()) {\n fontSize = Double.valueOf(lineElement.getAttribute(\"fontSize\").replaceAll(\",\", \"\\\\.\"));\n }\n\n\n fontSizeSum += fontSize;\n lineCounter++;\n }\n }\n }\n\n averagePageFontSize = (double) fontSizeSum / lineCounter;\n\n topBucketSize = (biggestTop / 8) + 1;\n leftBucketSize = (biggestLeft / 8) + 1;\n } else {\n averagePageFontSize = null;\n }\n\n\n }","public void assignPageRanks(double epsilon) {\r\n\t\t// TODO : Add code here\r\n\t\tArrayList<String> vertices=internet.getVertices();\r\n\t\tList<Double> currentRank=Arrays.asList(new Double[vertices.size()]);\r\n\t\tCollections.fill(currentRank,1.0);\r\n\r\n\t\tdo{\r\n\t\t\tfor(int i=0;i<vertices.size();i++){\r\n\t\t\t\tinternet.setPageRank(vertices.get(i),currentRank.get(i));\r\n\t\t\t}\r\n\t\t\tcurrentRank=computeRanks(vertices);\r\n\t\t}while (!stopRank(epsilon,currentRank,vertices));\r\n\r\n\t}","public void scoresForGameModes() {\r\n \tCalculateScore myScore = new CalculateScore();\r\n \tthis.score = myScore.giveScore();\r\n \tif (gamemode == 1) {\r\n \t\treturn;\r\n \t}\r\n \tif (gamemode ==2 ) {\r\n \t\tthis.score = this.score - (10 * (currentGraph.getCNumber() - set.size()));\r\n \t}\r\n \tif (gamemode ==3) {\r\n \t\tthis.score = this.score - (10 * (currentGraph.getCNumber() -set.size()));\r\n \t}\r\n }","public static void pageRankmain() {\n\t\t\t\n\t\t\tstopWordStore();\n\t\t\t//File[] file_read= dir.listFiles();\n\t\t\t//textProcessor(file_read);// Will be called from LinkCrawler\n\t\t\t//queryProcess();\n\t\t\t//System.out.println(\"docsave \"+ docsave);\n\t\t\t/*for ( Map.Entry<String, ArrayList<String>> entry : docsave.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t List<String> values = entry.getValue();\n\t\t\t System.out.print(\"Key = \" + key);\n\t\t\t System.out.println(\" , Values = \"+ values);\n\t\t\t}*/\n\t\t\t//########## RESPOINSIBLE FOR CREATING INVERTED INDEX OF TERMS ##########\n\t\t\tfor(int i=0;i<vocabulary.size();i++) {\n\t\t\t\tint count=1;\n\t\t\t\tMap<String, Integer> nestMap = new HashMap<String, Integer>();\n\t\t\t\tfor ( Map.Entry<String, ArrayList<String>> entry : docsave.entrySet()) {\n\t\t\t\t String keyMain = entry.getKey();\n\t\t\t\t List<String> values = entry.getValue();\n\t\t\t\t if(values.contains(vocabulary.get(i)))\n\t\t\t\t \t{\n\t\t\t\t \tentryDf.put(vocabulary.get(i), count);//entryDf stores documents frequency of vocabulary word \\\\it increase the count value for specific key\n\t\t\t\t \tcount++;\n\t\t\t\t \t}\n\t\t\t\t \n\t\t\t\t nestMap.put(keyMain, Collections.frequency(values,vocabulary.get(i)));\n\t\t\t \t\n\t\t\t \t//System.out.println(\"VOC \"+ vocabulary.get(i)+ \" KeyMain \" +keyMain+ \" \"+ Collections.frequency(values,vocabulary.get(i)));\n\t\t\t\t\t}\n\t\t\t\t\ttfList.put(vocabulary.get(i), nestMap);\n\t\t\t}\n\t\t\t//########## RESPOINSIBLE FOR CREATING A MAP \"storeIdf\" TO STORE IDF VALUES OF TERMS ##########\n\t\t\tfor ( Map.Entry<String, Integer> endf : entryDf.entrySet()) {\n\t\t\t\tString keydf = endf.getKey();\n\t\t\t\tint valdf = endf.getValue();\n\t\t\t\t//System.out.print(\"Key = \" + \"'\"+keydf+ \"'\");\n\t\t\t //System.out.print(\" , Values = \"+ valdf);\n\t\t\t double Hudai = (double) (docsave.size())/valdf;\n\t\t\t //System.out.println(\"docsave size \"+docsave.size()+ \" valdf \"+ valdf + \" Hudai \"+ Hudai+ \" log Value1 \"+ Math.log(Hudai)+ \" log Value2 \"+ Math.log(2));\n\t\t\t double idf= Math.log(Hudai)/Math.log(2);\n\t\t\t storeIdf.put(keydf, idf);\n\t\t\t //System.out.print(\" idf-> \"+ idf);\n\t\t\t //System.out.println();\n\t\t\t} \n\t\t\t\n\t\t\t//############ Just for Printing ##########NO WORK HERE########\n\t\t\tfor (Map.Entry<String, Map<String, Integer>> tokTf : tfList.entrySet()) {\n\t\t\t\tString keyTf = tokTf.getKey();\n\t\t\t\tMap<String, Integer> valTF = tokTf.getValue();\n\t\t\t\tSystem.out.println(\"Inverted Indexing by Key Word = \" + \"'\"+keyTf+ \"'\");\n\t\t\t\tfor (Map.Entry<String, Integer> nesTf : valTF.entrySet()) {\n\t\t\t\t\tString keyTF = nesTf.getKey();\n\t\t\t\t\tInteger valTf = nesTf.getValue();\n\t\t\t\t\tSystem.out.print(\" Document Consists This Key Word = \" + \"'\"+ keyTF+ \"'\");\n\t\t\t\t\tSystem.out.println(\" , Term Frequencies in This Doc = \"+ valTf);\n\t\t\t\t} \n\t\t\t}\n\t\t\t//########### FOR CALCULATING DOCUMENT LENTH #############//\n\t\t\tfor ( Map.Entry<String, ArrayList<String>> entry_new : docsave.entrySet()) // Iterating Number of Documents\n\t\t\t{\n\t\t\t\tString keyMain_new = entry_new.getKey();\n\t\t\t\t//int countStop=0;\n\t\t\t\tdouble sum=0;\n\t\t\t\t for(Map.Entry<String, Map<String, Integer>> tokTf_new : tfList.entrySet()) // Iterating through the vocabulary\n\t\t\t\t { \n\t\t\t\t\t Map<String, Integer> valTF_new = tokTf_new.getValue();\n\t\t\t\t\t for (Map.Entry<String, Integer> nesTf_new : valTF_new.entrySet()) // Iterating Through the Documents\n\t\t\t\t\t {\n\t\t\t\t\t\t if(keyMain_new.equals(nesTf_new.getKey())) // Only doc name EQUAL with docsave name can enter here\n\t\t\t\t\t\t {\n\t\t\t\t\t\t\t double val = nesTf_new.getValue()* (Double) storeIdf.get(tokTf_new.getKey());\n\t\t\t\t\t\t\t sum = sum+ Math.pow(val, 2);\n\t\t\t\t\t\t }\n\t\t\t\t\t }\n\t\t\t\t\t \n\t\t\t\t\t //countStop++;\n\t\t\t\t }\n\t\t\t\t docLength.put(keyMain_new, Math.sqrt(sum));\n\t\t\t\t sum=0;\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t\tSystem.out.println(\"Document Length \"+ docLength);\n\t\t\t//System.out.println(\"tfList \"+tfList);\n\t\t\t\n\t\t\t //########### FOR CALCULATING QUERY LENTH #############///\n\t\t\t\tdouble qrySum=0;\n\t\t\t\t for(String qryTerm: queryList) // Iterating through the vocabulary\n\t\t\t\t {\n\t\t\t\t\t//entryQf.put(qryTerm, Collections.frequency(queryList,qryTerm));// VUl ase\n\t\t\t\t\t \n\t\t\t\t\t\t if(storeIdf.get(qryTerm) != null) \n\t\t\t\t\t\t {\n\t\t\t\t\t\t\t entryQf.put(qryTerm, Collections.frequency(queryList,qryTerm));\n\t\t\t\t\t\t\t double val = entryQf.get(qryTerm)* (Double) storeIdf.get(qryTerm);\n\t\t\t\t\t\t\t qrySum = qrySum+ Math.pow(val, 2);\n\t\t\t\t\t\t }\n\t\t\t\t\t System.out.println(qryTerm+\" \"+entryQf.get(qryTerm)+ \" \"+ (Double) storeIdf.get(qryTerm));\n\t\t\t\t }\n\t\t\t\t qrySum=Math.sqrt(qrySum);\n\t\t\t\t System.out.println(\"qrySum \" + qrySum);\n\t\t\t\t \n\t\t\t\t//########### FOR CALCULATING COSINE SIMILARITY #############///\n\t\t\t\t for ( Map.Entry<String, ArrayList<String>> entry_dotP : docsave.entrySet()) // Iterating Number of Documents\n\t\t\t\t\t{\n\t\t\t\t\t\tdouble sumProduct=0;\n\t\t\t\t\t\tdouble productTfIdf=0;\n\t\t\t\t\t\tString keyMain_new = entry_dotP.getKey(); //Geting Doc Name\n\t\t\t\t\t\t for(Map.Entry<String, Integer> qryTermItr : entryQf.entrySet()) // Iterating through the vocabulary\n\t\t\t\t\t\t {\n\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t Map<String, Integer> matchTerm = tfList.get(qryTermItr.getKey()); // Getting a map of doc Names by a Query Term as value of tfList\n\n\t\t\t\t\t\t\t\t if(matchTerm.containsKey(keyMain_new)) // Only doc name EQUAL with docsave name can enter here\n\t\t\t\t\t\t\t\t {\n\t\t\t\t\t\t\t\t\t //System.out.println(\"Test \"+ matchTerm.get(keyMain_new) +\" keyMain_new \" + keyMain_new);\n\t\t\t\t\t\t\t\t\t double docTfIdf= matchTerm.get(keyMain_new) * storeIdf.get(qryTermItr.getKey());\n\t\t\t\t\t\t\t\t\t double qryTfIdf= qryTermItr.getValue() * storeIdf.get(qryTermItr.getKey());\n\t\t\t\t\t\t\t\t\t productTfIdf = docTfIdf * qryTfIdf;\n\t\t\t\t\t\t\t\t }\n\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t sumProduct= sumProduct+productTfIdf;\n\t\t\t\t\t\t\t //System.out.println(\"productTfIdf \"+productTfIdf+\" sumProduct \"+ sumProduct);\n\t\t\t\t\t\t\t productTfIdf=0;\n\t\t\t\t\t\t }\n\t\t\t\t\t\t cosineProd.put(entry_dotP.getKey(), sumProduct/(docLength.get(entry_dotP.getKey())*qrySum));\n\t\t\t\t\t\t sumProduct=0;\n\t\t\t\t\t\t //System.out.println(entry_dotP.getKey()+ \" \" + docLength.get(entry_dotP.getKey()));\n\t\t\t\t\t}\n\t\t\t\t System.out.println(\"cosineProd \"+ cosineProd);\n\t\t\t\t \n\t\t\t\t System.out.println(\"Number of Top Pages you want to see\");\n\t\t\t\t int topRank = Integer.parseInt(scan.nextLine());\n\t\t\t\t Map<String, Double> result = cosineProd.entrySet().stream()\n\t\t\t .sorted(Map.Entry.comparingByValue(Comparator.reverseOrder())).limit(topRank)\n\t\t\t .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,\n\t\t\t (oldValue, newValue) -> oldValue, LinkedHashMap::new));\n\n\t\t\t\t scan.close();\n\t\t\t //Alternative way\n\t\t\t //Map<String, Double> result2 = new LinkedHashMap<>();\n\t\t\t //cosineProd.entrySet().stream().sorted(Map.Entry.<String, Double>comparingByValue().reversed()).limit(2).forEachOrdered(x -> result2.put(x.getKey(), x.getValue()));\n\n\t\t\t System.out.println(\"Sorted...\");\n\t\t\t System.out.println(result);\n\t\t\t //System.out.println(result2);\n\t}","void calculateScore(){\r\n playerScore = 0;\r\n for(int i = 1; i<=10; i++) {\r\n scoreQuestion(i);\r\n }\r\n }","static private void calculateMissionScore() {\n\n HashMap<String, Boolean> missionStatus = allMissions.missionStatus;\n\n for (String i : missionStatus.keySet()) {\n\n if (missionStatus.get(i) == true) {\n score.addToPoints(250);\n }\n }\n }","@Override\n public int calculateScore(Object boardManager) {\n int stepScore = calStepScore((SlidingBoardManager) boardManager);\n int timeScore = calTimeScore((SlidingBoardManager) boardManager);\n\n if (stepScore < 0) {\n stepScore = 0;\n }\n if (timeScore < 0) {\n timeScore = 0;\n }\n\n return (stepScore + timeScore) / 2;\n }","private int scoreCalc(HousingLocation h) {\n\t\tint score = 0;\n\t\tscore += managementScore*h.managementScore;\n\t\tscore += amenitiesScore*h.amenitiesScore;\n\t\tscore += locationScore*h.locationScore;\n\t\tscore += communityChillFactorScore*h.communityChillFactorScore;\n\t\t\n\t\treturn score;\n\t\t\n\t}","public static void postScores() {\r\n\t\t//Copies the scores for four handed team based play.\r\n\t\tif (Main.isFourHandedTeams) {\r\n\t\t\tMain.team1Score = Main.teamOne.score;\r\n\t\t\tMain.team2Score = Main.teamTwo.score;\r\n\t\t//Copies the scores for non four handed team based play.\r\n\t\t} else {\r\n\t\t\tMain.player1Score = Main.playerOne.score;\r\n\t\t\tMain.player2Score = Main.playerTwo.score;\r\n\t\t\tMain.player3Score = Main.playerThree.score;\r\n\r\n\t\t\t//Copies the scores for four handed single player game.\r\n\t\t\tif (!Main.isThreeHanded) {\r\n\t\t\t\tMain.player4Score = Main.playerFour.score;\r\n\t\t\t}\r\n\t\t}\r\n\t}","public static void main(String[] args) throws IOException \n\t{\n\t\tScanner sc = new Scanner(System.in);\n\t\tSystem.out.print(\"Please input the keyword: \");\n\t\tString keyword = sc.next();\n\t\tsc.close();\n\t\n\t\tKeywordList kLst = new KeywordList();\t\n\t\tSystem.out.println(\"-------------------------------------------------------\\nRelative Word List: \");\n\t\tkLst.printKeywordList(kLst.getKeywords());\n\t\tSystem.out.print(\"-------------------------------------------------------\\nValid Web Pages for Keyword [\" + keyword + \"]: \\n\");\n\t\tGoogleSearch google = new GoogleSearch(keyword);\n\t\tSystem.out.print(google.toString());\n\t\t\n\t\tArrayList<WebNode> wLst = new ArrayList<WebNode>();\t\n\t\t\n\t\ttry \n\t\t{\t\t\n\t\t\tfor(String title: google.query().keySet()) \n\t\t\t{\n\t\t\t\tString webUrl = google.query().get(title);\t\n\t\t\t\tWebPage rootPage = new WebPage(webUrl, title);\n\t\t\t\tWebTree tree = new WebTree(rootPage);\n\t\t\t\t\t\n\t\t\t\tChildPageQuery childQ = new ChildPageQuery(webUrl);\n\t\t\t\tint count = 0;\n\t\t\t\tif(childQ.query() != null) \n\t\t\t\t{\t\t\t\n\t\t\t\t\tfor(String childUrl: childQ.query()) \n\t\t\t\t\t{\t\t\t\n\t\t\t\t\t\tcount++;\t\t\t\t\t\t\t\n\t\t\t\t\t\ttree.root.addChild(new WebNode(new WebPage(childUrl, count + \"\")));\n\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\ttree.setPostOrderScore(kLst.getKeywords());\n\t\t\t\t\twLst.add(tree.root);\n\t\t\t\t}\n\t\t\t}\t\n\t\t\t\n\t\t\tWebRating rating = new WebRating(wLst);\n\t\t\trating.sort();\n\t\t\tSystem.out.println(\"-------------------------------------------------------\\n★★★Rating★★★\\n(Title, Total Child Pages, Total Root Page Score)\");\n\t\t\tSystem.out.print(rating.output());\n\t\t} \n\n\t\tcatch(IOException e)\n\t\t{\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t}","public final void div() {\n\t\tif (size > 1) {\n\n\t\t\tdouble topMostValue = pop();\n\t\t\tdouble secondTopMostValue = pop();\n\t\t\tif (topMostValue > 0) {\n\t\t\t\tpush(secondTopMostValue / topMostValue);\n\t\t\t}\n\t\t}\n\t}","void increaseScore(){\n\t\t currentScore = currentScore + 10;\n\t\t com.triviagame.Trivia_Game.finalScore = currentScore;\n\t }","public int[][] reportByScore(int array[][], int[] array1) {\n\n\t\tint b = array.length - 1;\n\t\tint a = maxScore / b;\n\t\tfor (int i = 0; i < array1.length; i++) {\n\t\t\tif (array1[i] != 0) {\n\t\t\t\tarray[(b - (array1[i] - 1) / a - 1)][availableSpace(array, (b - (array1[i] - 1) / a - 1))] = array1[i];\n\t\t\t} else {\n\t\t\t\tarray[b][availableSpace(array, b)] = array1[i];\n\t\t\t}\n\n\t\t}\n\n\t\treturn array;\n\t}","private void addPartList ()\r\n {\r\n // Map (page) ScorePart -> (score) ScorePart data\r\n List<ScorePart> partList = new ArrayList<>();\r\n\r\n for (Result result : connection.getResultMap().keySet()) {\r\n ScorePart scorePart = (ScorePart) result.getUnderlyingObject();\r\n partList.add(scorePart);\r\n }\r\n\r\n // Need map: pagePart instance -> set of related systemPart instances\r\n // (Since we only have the reverse link)\r\n Map<ScorePart, List<SystemPart>> page2syst = new LinkedHashMap<>();\r\n\r\n for (TreeNode pn : score.getPages()) {\r\n Page page = (Page) pn;\r\n\r\n for (TreeNode sn : page.getSystems()) {\r\n ScoreSystem system = (ScoreSystem) sn;\r\n\r\n for (TreeNode n : system.getParts()) {\r\n SystemPart systPart = (SystemPart) n;\r\n\r\n ScorePart pagePart = systPart.getScorePart();\r\n List<SystemPart> cousins = page2syst.get(pagePart);\r\n\r\n if (cousins == null) {\r\n cousins = new ArrayList<>();\r\n page2syst.put(pagePart, cousins);\r\n }\r\n\r\n cousins.add(systPart);\r\n }\r\n }\r\n }\r\n\r\n // Align each candidate to its related result (System -> Page -> Score)\r\n for (Result result : connection.getResultMap().keySet()) {\r\n ScorePart scorePart = (ScorePart) result.getUnderlyingObject();\r\n int newId = scorePart.getId();\r\n\r\n for (Candidate candidate : connection.getResultMap().get(result)) {\r\n ScorePart pagePart = (ScorePart) candidate.getUnderlyingObject();\r\n // Update (page) part id\r\n pagePart.setId(newId);\r\n\r\n // Update all related (system) part id\r\n for (SystemPart systPart : page2syst.get(pagePart)) {\r\n systPart.setId(newId);\r\n }\r\n }\r\n }\r\n\r\n score.setPartList(partList);\r\n }","private static double bucketForScore(double score, double bucketSize) {\r\n\t\tint bucket = (int) (score / bucketSize);\r\n\t\tif (bucket == 0) {\r\n\t\t\tbucket = 1;\r\n\t\t} else if (score % bucketSize > 0) {\r\n\t\t\tbucket++;\r\n\t\t}\r\n\t\treturn bucket;\r\n\t}","@Override\n\tpublic double getTotalScore() {\n\t\treturn score;\n\t}","private void sketchScore() {\r\n View.sketch(score, this.getSize().width + 15, 0);\r\n }","public void aggregateResults()\n\t{\n\t\ttry {\n\t\t\tAggregateableEvaluation aggContNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(0));\n\t\t\tAggregateableEvaluation aggContSMO = new AggregateableEvaluation(this.evalSMOList.get(0));\n\t\t\tAggregateableEvaluation aggDonaNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(15));\n\t\t\tAggregateableEvaluation aggDonaSMO = new AggregateableEvaluation(this.evalSMOList.get(15));\n\t\t\tAggregateableEvaluation aggOffiNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(30));\n\t\t\tAggregateableEvaluation aggOffiSMO = new AggregateableEvaluation(this.evalSMOList.get(30));\n\t\t\tAggregateableEvaluation aggAdviNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(45));\n\t\t\tAggregateableEvaluation aggAdviSMO = new AggregateableEvaluation(this.evalSMOList.get(45));\n\t\t\tAggregateableEvaluation aggMultNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(60));\n\t\t\tAggregateableEvaluation aggMultSMO = new AggregateableEvaluation(this.evalSMOList.get(60));\n\t\t\tAggregateableEvaluation aggGoodNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(75));\n\t\t\tAggregateableEvaluation aggGoodSMO = new AggregateableEvaluation(this.evalSMOList.get(75));\n\t\t\t\n\n\t\t\tfor (int i = 1; i < 15; i++)\n\t\t\t{\n\t\t\t\taggContNaive.aggregate(this.evalNaiveBayesList.get(i));\n\t\t\t\taggContSMO.aggregate(this.evalSMOList.get(i));\t\t\t\n\t\t\t}\n\t\t\t\n\t\t\tfor (int i = 16; i < 30; i++)\n\t\t\t{\n\t\t\t\taggDonaNaive.aggregate(this.evalNaiveBayesList.get(i));\n\t\t\t\taggDonaSMO.aggregate(this.evalSMOList.get(i));\t\t\t\t\n\t\t\t}\n\n\t\t\tfor (int i = 31; i < 45; i++)\n\t\t\t{\n\t\t\t\taggOffiNaive.aggregate(this.evalNaiveBayesList.get(i));\n\t\t\t\taggOffiSMO.aggregate(this.evalSMOList.get(i));\t\t\t\t\n\t\t\t}\n\n\t\t\tfor (int i = 46; i < 60; i++)\n\t\t\t{\n\t\t\t\taggAdviNaive.aggregate(this.evalNaiveBayesList.get(i));\n\t\t\t\taggAdviSMO.aggregate(this.evalSMOList.get(i));\n\t\t\t}\n\n\t\t\tfor (int i = 61; i < 75; i++)\n\t\t\t{\n\t\t\t\taggMultNaive.aggregate(this.evalNaiveBayesList.get(i));\n\t\t\t\taggMultSMO.aggregate(this.evalSMOList.get(i));\n\t\t\t}\n\n\t\t\tfor (int i = 76; i < 90; i++)\n\t\t\t{\n\t\t\t\taggGoodNaive.aggregate(this.evalNaiveBayesList.get(i));\n\t\t\t\taggGoodSMO.aggregate(this.evalSMOList.get(i));\n\t\t\t}\n\n\t\t\tfor (int a = 0; a < 6; a++)\n\t\t\t{\n\t\t\t\tString aggregateText;\n\t\t\t\tswitch (a)\n\t\t\t\t{\n\t\t\t\tcase 0: aggregateText = \"ContinuingNewsAggregateResults.txt\"; break;\n\t\t\t\tcase 1: aggregateText = \"DonationsAggregateResults.txt\"; break;\n\t\t\t\tcase 2: aggregateText = \"OfficialAggregateResults.txt\"; break;\n\t\t\t\tcase 3: aggregateText = \"AdviceAggregateResults.txt\"; break;\n\t\t\t\tcase 4: aggregateText = \"MultimediaAggregateResults.txt\"; break;\n\t\t\t\tcase 5: aggregateText = \"GoodsAggregateResults.txt\"; break;\n\t\t\t\tdefault: aggregateText = \"CompleteAggregateResults.txt\";\n\t\t\t\t}\n\n\t\t\t\tBufferedWriter bw = new BufferedWriter(new FileWriter(aggregateText));\n\t\t\t\tbw.write(\"=== Summary of Naive Bayes ===\");\n\n\t\t\t\tswitch (a)\n\t\t\t\t{\n\t\t\t\tcase 0:\tbw.write(aggContNaive.toSummaryString());\n\t\t\t\tbw.write(aggContNaive.toClassDetailsString());\n\t\t\t\tbw.write(aggContNaive.toMatrixString()); break;\n\t\t\t\tcase 1:\tbw.write(aggDonaNaive.toSummaryString());\n\t\t\t\tbw.write(aggDonaNaive.toClassDetailsString());\n\t\t\t\tbw.write(aggDonaNaive.toMatrixString()); break;\n\t\t\t\tcase 2:\tbw.write(aggOffiNaive.toSummaryString());\n\t\t\t\tbw.write(aggOffiNaive.toClassDetailsString());\n\t\t\t\tbw.write(aggOffiNaive.toMatrixString()); break;\n\t\t\t\tcase 3:\tbw.write(aggAdviNaive.toSummaryString());\n\t\t\t\tbw.write(aggAdviNaive.toClassDetailsString());\n\t\t\t\tbw.write(aggAdviNaive.toMatrixString()); break;\n\t\t\t\tcase 4:\tbw.write(aggMultNaive.toSummaryString());\n\t\t\t\tbw.write(aggMultNaive.toClassDetailsString());\n\t\t\t\tbw.write(aggMultNaive.toMatrixString()); break;\n\t\t\t\tdefault:\tbw.write(aggGoodNaive.toSummaryString());\n\t\t\t\tbw.write(aggGoodNaive.toClassDetailsString());\n\t\t\t\tbw.write(aggGoodNaive.toMatrixString()); \n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tbw.write(\"=== Summary of SMO ===\");\n\n\t\t\t\tswitch (a)\n\t\t\t\t{\n\t\t\t\tcase 0:\tbw.write(aggContSMO.toSummaryString());\n\t\t\t\tbw.write(aggContSMO.toClassDetailsString());\n\t\t\t\tbw.write(aggContSMO.toMatrixString()); break;\n\t\t\t\tcase 1:\tbw.write(aggDonaSMO.toSummaryString());\n\t\t\t\tbw.write(aggDonaSMO.toClassDetailsString());\n\t\t\t\tbw.write(aggDonaSMO.toMatrixString()); break;\n\t\t\t\tcase 2:\tbw.write(aggOffiSMO.toSummaryString());\n\t\t\t\tbw.write(aggOffiSMO.toClassDetailsString());\n\t\t\t\tbw.write(aggOffiSMO.toMatrixString()); break;\n\t\t\t\tcase 3:\tbw.write(aggAdviSMO.toSummaryString());\n\t\t\t\tbw.write(aggAdviSMO.toClassDetailsString());\n\t\t\t\tbw.write(aggAdviSMO.toMatrixString()); break;\n\t\t\t\tcase 4:\tbw.write(aggMultSMO.toSummaryString());\n\t\t\t\tbw.write(aggMultSMO.toClassDetailsString());\n\t\t\t\tbw.write(aggMultSMO.toMatrixString()); break;\n\t\t\t\tdefault:\tbw.write(aggGoodSMO.toSummaryString());\n\t\t\t\tbw.write(aggGoodSMO.toClassDetailsString());\n\t\t\t\tbw.write(aggGoodSMO.toMatrixString()); \t\t\t\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tbw.close();\n\t\t\t}\n\n\n\t\t} catch (Exception e) {\n\n\t\t\te.printStackTrace();\n\t\t}\n\t}","private static String getPrecisionResultsAggregator (Index i, ArrayList<String> queries, ArrayList<ArrayList<String>> relevantFilenames,List<Double> porcentajes, Searcher ... searcher){\n ArrayList<Searcher> searchers = new ArrayList<>();\n for(Searcher s:searcher){\n s.build(i);\n searchers.add(s);\n }\n \n RelevanceUtils.setIndex(i);\n\n ArrayList<Double> p5s = new ArrayList<>();\n ArrayList<Double> p10s = new ArrayList<>();\n\n for (int j = 0; j < queries.size(); j++) {\n ArrayList<List<ScoredTextDocument>> scores = new ArrayList<>();\n for(Searcher s:searchers){\n List<ScoredTextDocument> results = s.search(queries.get(j));\n scores.add(results);\n }\n List<ScoredTextDocument> results = WeightedSumRankAggregator.sum(scores,porcentajes);\n p5s.add(RelevanceUtils.calculatePrecision(results, relevantFilenames.get(j), 5));\n p10s.add(RelevanceUtils.calculatePrecision(results, relevantFilenames.get(j), 10));\n }\n\n Double averageP5 = Math.round(100.0 * RelevanceUtils.calculateAverage(p5s)) / 100.0;\n Double averageP10 = Math.round(100.0 * RelevanceUtils.calculateAverage(p10s)) / 100.0;\n return averageP5 + \"\\t\" + averageP10;\n }","Score getScores(int index);","public static void main(String[] args) {\n List<Integer> pr = new ArrayList<>();\n out:\n for (int p = 2; p <= 100; p++) {\n for (int q : pr) {\n if (p % q == 0) {\n continue out;\n }\n }\n pr.add(p);\n }\n Set<List<Integer>> s = new HashSet<>();\n for (int a = 2; a <= 100; a++) {\n List<Integer> l = new ArrayList<>();\n for (int p : pr) {\n int e = 0;\n for (int c = a; c % p == 0; c /= p) {\n e++;\n }\n l.add(e);\n }\n for (int b = 2; b <= 100; b++) {\n List<Integer> m = new ArrayList<>();\n for (int e : l) {\n m.add(b * e);\n }\n s.add(m);\n }\n }\n System.out.println(s.size());\n }","public void findAvg()\n {\n for(int i = 0; i <= scores.length-1; i++)\n {\n for (int j = 0; j <= scores[0].length-1; j++)\n {\n total += scores[i][j];\n }\n }\n System.out.println(\"The class average test score is \" + \n total/24 + \".\");\n }","public void addPoints(int earnedPoints) {score = score + earnedPoints;}","public static ArrayList<ArrayList<ArrayList<Double>>> assignScoreToQueries() {\r\n\t\t\r\n\t\tArrayList<ArrayList<ArrayList<Double>>> allQueries = Queries.createQueries();\r\n\t\tArrayList<ArrayList<String>> dataset = ReadInDataset.finalDataset;\r\n\t\tint Counter = 0;\r\n\t\tDouble Score = 0.0;\r\n\t\tDecimalFormat df = new DecimalFormat(\"#.####\");\r\n\t\tdf.setRoundingMode(RoundingMode.CEILING); // round up to 4 decimal places\r\n\t\t\r\n\t\t\r\n\t\t// initially assign to each query a score of 0\r\n\t\t\r\n\t\tfor (int i = 0; i < allQueries.size(); i++) {\r\n\t\t\tArrayList<Double> zero = new ArrayList<Double>();\r\n\t\t\tzero.add(0.0);\r\n\t\t\tallQueries.get(i).add(zero);}\r\n\t\t\r\n\t\t// go through each query and check how many entries of the dataset it matches\r\n\t\t// with each match increase the score\r\n\t\t\r\n\t\tfor (int i = 0; i < allQueries.size(); i++) { // for each query\r\n\t\t\tfor(int b=0; b < dataset.size(); b++) { // for each dataset\r\n\t\t\t\tCounter = 0; \r\n\t\t\t\tfor (int a=0; a < allQueries.get(i).size()-1; a++) { // for each query clause\r\n\t\t\t\t//check if the query criteria match the dataset and increase the Score accordingly\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t //this counter ensures that all query requirements are met in order to increase the score\r\n\t\t\t\t\tif (a != allQueries.get(i).size() - 1) {\t\t\t\t\t\t // ensure that Score entry is not involved in Query Matching\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\t// take min and max from query along with an entry from the dataset, convert to a double of 4 decimal places\r\n\t\t\t\t\t\tdouble minPoint1 = allQueries.get(i).get(a).get(0);\r\n\t\t\t\t\t\tString minPoint2 = df.format(minPoint1);\r\n\t\t\t\t\t\tdouble minPoint = Double.parseDouble(minPoint2);\r\n\t\t\t\t\t\tdouble maxPoint1 = allQueries.get(i).get(a).get(1);\r\n\t\t\t\t\t\tString maxPoint2 = df.format(maxPoint1);\r\n\t\t\t\t\t\tdouble maxPoint = Double.parseDouble(maxPoint2);\r\n\t\t\t\t\t\tdouble dataPoint1 = Double.parseDouble(dataset.get(b).get(a+1));\r\n\t\t\t\t\t\tString dataPoint2 = df.format(dataPoint1);\r\n\t\t\t\t\t\tdouble dataPoint = Double.parseDouble(dataPoint2);\r\n\t\t\t\t\t\t\t\r\n\t\t\t\t\t\tif ( dataPoint<= maxPoint && dataPoint >= minPoint) { Counter++; \r\n\t\t\t\t\t//\tSystem.out.println(\"min:\" + minPoint+\" max: \"+maxPoint+\" data: \"+dataPoint+ \" of Query: \" + b+ \"| Query Match!\");\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\telse {//System.out.println(minPoint+\" \"+maxPoint+\" \"+dataPoint+ \" of \" + b);\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\tif (Counter==(Queries.getDimensions())/2) { // if counter equals the dimensions of the query then increase score\r\n\t\t\t\t\tScore = allQueries.get(i).get(allQueries.get(i).size()-1).get(0);\r\n\t\t\t\t\tallQueries.get(i).get(allQueries.get(i).size()-1).set(0, Score+1.00); \r\n\t\t\t\t\t}}\r\n\t\t\t\t \r\n\t\t\t\t}\r\n\t\t//\tSystem.out.println(\"Score = \" + allQueries.get(i).get(allQueries.get(i).size()-1).get(0));\r\n\t\t}\t\r\n\t\treturn allQueries;\r\n\t}","public double getOverallScore()\n\t{\n\t\t return ((((((this.quiz1/QUIZ_MAX) + (this.quiz2/QUIZ_MAX) + (this.quiz3/QUIZ_MAX)) / 3) * QUIZ_WEIGHT) + ((this.midtermExam / MIDTERM_MAX) * MIDTERM_WEIGHT) + ((this.finalExam / FINAL_MAX) * FINAL_WEIGHT)) * 100);\n\t}","private int calStepScore(SlidingBoardManager slidingBoardManager) {\n int step = slidingBoardManager.getSlidingHistory().getSize() - 1;\n\n return Math.round(100 - step / 5);\n }","public void calculateScore() {\n\n turnScore();\n\n if (turn == 1) {\n p1.setScore(p1.getScore() - turnScore);\n\n } else if (turn == 2) {\n p2.setScore(p2.getScore() - turnScore);\n\n }\n\n\n }","void addScore(LocusScore ls) {\n double weight = 1;\n final float score = ls.getScore();\n weightedSum += weight * score;\n nPts++;\n\n max = score > max ? score : max;\n }","public void addScore(){\n\n // ong nuoc 1\n if(birdS.getX() == waterPipeS.getX1() +50){\n bl = true;\n }\n if (bl == true && birdS.getX() > waterPipeS.getX1() + 50){\n score++;\n bl = false;\n }\n\n //ong nuoc 2\n if(birdS.getX() == waterPipeS.getX2() +50){\n bl = true;\n }\n if (bl == true && birdS.getX() > waterPipeS.getX2() + 50){\n score++;\n bl = false;\n }\n\n // ong nuoc 3\n if(birdS.getX() == waterPipeS.getX3() +50){\n bl = true;\n }\n if (bl == true && birdS.getX() > waterPipeS.getX3() + 50){\n score++;\n bl = false;\n }\n\n }","public void calculateMetrics(){\n //precision\n precisionFinal = precision.stream().mapToDouble(f -> f).sum()/precision.size();\n System.out.print(\"Precision: \");\n System.out.println(precisionFinal);\n //recall\n recallFinal = recall.stream().mapToDouble(f -> f).sum()/recall.size();\n System.out.print(\"Recall: \");\n System.out.println(recallFinal);\n //fMeasures\n fMeausureFinal = fMeasures.stream().mapToDouble(f -> f).sum()/fMeasures.size();\n System.out.print(\"Fmeasure: \");\n System.out.println(fMeausureFinal);\n\n //MAP\n mapFinal = apRes.stream().mapToDouble(d->d).sum()/apRes.size();\n System.out.print(\"Mean Avarage Precision: \");\n System.out.println(mapFinal);\n \n mapLimitedFinal = apResRankedTopLimited.stream().mapToDouble(d->d).sum()/apResRankedTopLimited.size();\n System.out.print(\"Mean Precision at rank 10: \");\n System.out.println(mapLimitedFinal);\n \n //NDCG\n ndcgResultsFinal =0;\n ndcgResults.stream().forEach(l-> {\n //it is always true, only added to ensure that doesnt' break with another examples where some queries doens't have results.\n if(l.size()>0){\n ndcgResultsFinal= l.get(l.size()-1)+ndcgResultsFinal;\n }\n });\n ndcgResultsFinal=ndcgResultsFinal/ndcgResults.size();\n \n System.out.print(\"NDCG: \");\n System.out.println(ndcgResultsFinal);\n }","public BigDecimal getScores() {\n return scores;\n }","private void doMatchesStats(int week){\r\n \r\n \r\n List<FantasyMatch> fMatches = fmatchBean.findByWeek(week);\r\n for(int i = 0; i < fMatches.size(); i++){\r\n FantasyMatch fm = fMatches.get(i);\r\n FantasyTeam team1 = fm.getTeam1();\r\n FantasyTeam team2 = fm.getTeam2();\r\n int team1Points = 0, team2Points = 0;\r\n \r\n team1Points += retrievePoints(fm.getTeam1QB(), week);\r\n team2Points += retrievePoints(fm.getTeam2QB(), week);\r\n \r\n team1Points += retrievePoints(fm.getTeam1RB1(), week);\r\n team2Points += retrievePoints(fm.getTeam2RB1(), week);\r\n\r\n team1Points += retrievePoints(fm.getTeam1RB2(), week);\r\n team2Points += retrievePoints(fm.getTeam2RB2(), week);\r\n\r\n team1Points += retrievePoints(fm.getTeam1WR1(), week);\r\n team2Points += retrievePoints(fm.getTeam2WR1(), week);\r\n\r\n team1Points += retrievePoints(fm.getTeam1WR2(), week);\r\n team2Points += retrievePoints(fm.getTeam2WR2(), week);\r\n\r\n team1Points += retrievePoints(fm.getTeam1WRRB(), week);\r\n team2Points += retrievePoints(fm.getTeam2WRRB(), week);\r\n\r\n team1Points += retrievePoints(fm.getTeam1TE(), week);\r\n team2Points += retrievePoints(fm.getTeam2TE(), week);\r\n\r\n team1Points += retrievePoints(fm.getTeam1K(), week);\r\n team2Points += retrievePoints(fm.getTeam2K(), week);\r\n\r\n team1Points += retrievePoints(fm.getTeam1DEF(), week);\r\n team2Points += retrievePoints(fm.getTeam2DEF(), week);\r\n \r\n fm.setTeam1Points(team1Points);\r\n fm.setTeam2Points(team2Points);\r\n \r\n if(team1Points > team2Points){\r\n team1.setWins(team1.getWins() + 1);\r\n team2.setLosses(team2.getLosses() + 1);\r\n }\r\n if(team1Points == team2Points){\r\n team1.setDraws(team1.getDraws() + 1);\r\n team2.setDraws(team2.getDraws() + 1);\r\n }\r\n if(team1Points < team2Points){\r\n team1.setLosses(team1.getLosses() + 1);\r\n team2.setWins(team2.getWins() + 1);\r\n }\r\n \r\n team1.setPointsFor(team1.getPointsFor() + team1Points);\r\n team1.setPointsAgainst(team1.getPointsAgainst() + team2Points);\r\n \r\n team2.setPointsFor(team2.getPointsFor() + team2Points);\r\n team2.setPointsAgainst(team2.getPointsAgainst() + team1Points);\r\n \r\n fmatchBean.edit(fm);\r\n ftBean.edit(team1);\r\n ftBean.edit(team2);\r\n }\r\n \r\n List<FantasyLeague> leagues = flBean.findAll();\r\n for(int i = 0; i < leagues.size(); i++){\r\n List<FantasyTeam> teams = ftBean.findByLeague(leagues.get(i));\r\n \r\n //DO SORTING BY WINS\r\n Collections.sort(teams, new TeamWinComparator());\r\n \r\n for(int j = 0; j < teams.size(); j++){\r\n FantasyTeam team = teams.get(j);\r\n team.setPreviousRank(team.getRank());\r\n team.setRank(j + 1); \r\n }\r\n }\r\n \r\n }","private int calculateScore(ArrayList<HexCell> stack){\n int score = 0;\n for(HexCell current: stack){\n score += current.score;\n }\n return score;\n }","public void hitAlienScore() {\r\n //Add 5 to the score\r\n score += 5;\r\n System.out.println(\"Current Score = \"+score);\r\n }","public void updateScores() {\n\t\tscoreText.setText(\"Score: \" + ultraland.getScore());\n\t}","public void countScore(TechnicalTest technicalTest)\n {\n long maxScore=0;\n long score=0;\n\n String scoreEachAnswer = \"\";\n List<Problem> problems = technicalTest.getProblems();\n\n String applicantAnswer = technicalTest.getApplicantAnswer();\n\n List<String> answerList = helper.parseAnswer(applicantAnswer);\n\n for(int i=0; i<problems.size();i++){\n long tmpScore;\n maxScore = maxScore + problems.get(i).getMaxScore();\n if(problems.get(i) instanceof MultipleChoices){\n tmpScore = getScoreMultipleChoices((MultipleChoices) problems.get(i), answerList.get(i));\n score = score + tmpScore;\n if(i!=problems.size()-1)\n scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore) + \"|\";\n else scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore);\n }\n else if(problems.get(i) instanceof ProblemGenerator){\n tmpScore = getScoreMultipleChoices((MultipleChoices) problems.get(i), answerList.get(i));\n score = score + tmpScore;\n if(i!=problems.size()-1)\n scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore) + \"|\";\n else scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore);\n }\n else{\n tmpScore = getScoreEssay((Essay) problems.get(i), answerList.get(i));\n score = score + tmpScore;\n if(i!=problems.size()-1)\n scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore) + \"|\";\n else scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore);\n }\n\n }\n\n long persen = score*100/maxScore;\n\n technicalTest.setScore(persen);\n technicalTest.setScoreEachAnswer(scoreEachAnswer);\n\n technicalTestRepository.save(technicalTest);\n\n }","public float diceCustomScore(int doc, float subQueryScore, float[] valSrcScores)\n throws IOException {\n // this is very slow at the moment+\n // subQueryScore is term frequency of the term\n final LeafReader reader = this.context.reader();\n float score = 0f;\n float querySize = 0f;\n final Map<Float, Float> queryLookup = new HashMap<Float, Float>();\n Map<Float, Float> formulaSizes = new HashMap<Float, Float>();\n if (reader != null) {\n // find a list of formulas and their positions\n Float bestFormula = new Float(0);\n for (final TermCountPair term : this.terms) {\n querySize += term.getCount();\n final PostingsEnum posting =\n reader.postings(new Term(this.privateField, term.getTerm()), PostingsEnum.POSITIONS);\n if (posting != null) {\n // move to the document currently looking at\n posting.advance(doc);\n // get a dictionary of the each potential formula to match to and total number of matches\n int count = 0;\n while (count < posting.freq()) {\n final Float position = new Float(posting.nextPosition());\n Float positionCount = queryLookup.get(position);\n if (positionCount != null) {\n // already in lookup, update and add one\n positionCount = positionCount + new Float(1);\n queryLookup.put(position, positionCount);\n } else {\n // add to lookup and formula size\n queryLookup.put(position, new Float(1));\n formulaSizes.put(position, new Float(0));\n }\n count += 1;\n }\n // calculate the formula sizes\n formulaSizes = this.calculateFormulaSizes(reader, doc, formulaSizes);\n // now calculate the best formula that was matched\n for (final Map.Entry<Float, Float> entry : queryLookup.entrySet()) {\n // calculate the intersection\n final Float temp =\n (new Float(2) * entry.getValue()) / (querySize + formulaSizes.get(entry.getKey()));\n if (temp > bestFormula) {\n bestFormula = temp;\n }\n }\n }\n }\n score = bestFormula.floatValue();\n } else {\n System.err.println(\"Unable to find LeafReader for Dice Query\");\n }\n return score; // New Score\n }","private void numberResults ()\r\n {\r\n int partIndex = 0;\r\n\r\n for (Result result : connection.getResultMap().keySet()) {\r\n ScorePart scorePart = (ScorePart) result.getUnderlyingObject();\r\n scorePart.setId(++partIndex);\r\n }\r\n }","public float bm25tpCustomScore(int doc, float subQueryScore, float[] valSrcScores)\n throws IOException {\n final float newScore = subQueryScore;\n final Map<String, List<Integer>> pos = this.termsPositions(doc);\n final float docLength = this.getDocLength(doc);\n final float K =\n MathScoreQueryProvider.K\n * ((1 - MathScoreQueryProvider.B)\n + MathScoreQueryProvider.B * (docLength / this.avgDl));\n int qtfi;\n int qtfj;\n List<Integer> positionsI;\n List<Integer> positionsJ;\n float qwi;\n float qwj;\n float score = 0;\n float termWeight;\n for (int i = 0; i < this.terms.size(); i++) {\n positionsI = pos.get(this.terms.get(i).getTerm());\n if (positionsI != null) {\n qtfi = (int) this.terms.get(i).getCount();\n qwi =\n (float)\n ((qtfi / (MathScoreQueryProvider.K_3 + qtfi))\n * Math.log((this.numDocs - positionsI.size()) / positionsI.size()));\n for (int j = i + 1; j < this.terms.size(); j++) {\n positionsJ = pos.get(this.terms.get(j).getTerm());\n if (positionsJ != null) {\n qtfj = (int) this.terms.get(j).getCount();\n qwj =\n (float)\n ((qtfj / (MathScoreQueryProvider.K_3 + qtfj))\n * Math.log((this.numDocs - positionsJ.size()) / positionsJ.size()));\n termWeight = this.termWeight(positionsI, positionsJ, K);\n score += termWeight * Math.min(qwi, qwj);\n }\n }\n }\n }\n return newScore + score;\n }","public double computeHeuristicGrade();","public void compPageRank(double d, int..._iterNum) throws IOException\n\t{\n\t\tint iterNum;\n\t\tif(_iterNum.length==0) iterNum=10;\n\t\telse iterNum = _iterNum[0];\n\t\t\n\t\t// variable declaration\n\t\tHashtable<String, Object> rankPrev = new Hashtable<String, Object>();\n\t\tVector<String> oneParents;\n\t\tVector<String> oneChildren;\n\t\tdouble oneWeight;\n\t\tFastIterator iter;\n\t\tString keyword = null;\t\t\n\t\tHTree rankHash;\n\t\t\n\t\t// initialize all the weights with 1\n\t\titer = childLink.getHash().keys();\n\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t\tpageRank.addEntry(keyword, 1.0);\n\t\t\n\t\t//System.out.println(\"After Initialization\");\n\t\t//printPageRank();\n\t\t\n\t\trankHash = pageRank.getHash();\n\t\t\n\t\t// iteratively compute page rank\n\t\tfor(int i = 0; i < iterNum; i++)\n\t\t{\n\t\t\t// store the previous page rank values\n\t\t\titer = rankHash.keys();\n\t\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t\t\trankPrev.put(keyword, rankHash.get(keyword));\n\t\t\t\n\t\t\t// compute page rank value from the previous state\n\t\t\titer = rankHash.keys();\n\t\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t\t{\n\t\t\t\toneParents = (Vector<String>) parentLink.getEntry(keyword);\n\t\t\t\toneWeight = 0;\n\t\t\t\tfor(String oneId: oneParents) \n\t\t\t\t{\n\t\t\t\t\toneChildren = (Vector<String>) childLink.getEntry(oneId);\n\t\t\t\t\toneWeight += ((Double)rankPrev.get(oneId)) / oneChildren.size();\n\t\t\t\t}\n\t\t\t\toneWeight = (1-d) + d * oneWeight;\n\t\t\t\tpageRank.addEntry(keyword, oneWeight);\n\t\t\t}\n\t\t\t\n\t\t\tSystem.out.println(\"Iteration: \"+i);\t\n\t\t\t//printPageRank();\n\t\t}\n\t\t\n\t\tprintPageRank();\n\t\t\n\t}","private void bedGraphToScores(String fileName) throws IOException{\n\t\t\n\t\tList<ScreenWiggleLocusInfo> screenWigLocInfoList= new ArrayList<ScreenWiggleLocusInfo>();\n\t\tfor(int i= 0; i < getGc().getUserWindowSize(); i++){\n\t\t\tscreenWigLocInfoList.add(new ScreenWiggleLocusInfo());\n\t\t}\n\t\t\n\t\ttry {\n\t\t\tTabixReader tabixReader= new TabixReader(fileName);\n\t\t\tIterator qry= tabixReader.query(this.getGc().getChrom(), this.getGc().getFrom()-1, this.getGc().getTo());\n\t\t\twhile(true){\n\t\t\t\tString q = qry.next();\n\t\t\t\tif(q == null){\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tString[] tokens= q.split(\"\\t\");\n\t\t\t\tint screenFrom= Utils.getIndexOfclosestValue(Integer.valueOf(tokens[1])+1, this.getGc().getMapping());\n\t\t\t\tint screenTo= Utils.getIndexOfclosestValue(Integer.valueOf(tokens[2]), this.getGc().getMapping());\n\t\t\t\tfloat value= Float.valueOf(tokens[this.bdgDataColIdx-1]);\n\t\t\t\tfor(int i= screenFrom; i <= screenTo; i++){\n\t\t\t\t\tscreenWigLocInfoList.get(i).increment(value);\n\t\t\t\t}\n\t\t\t}\n\t\t} catch (IOException e) {\t\t\t\n\t\t\te.printStackTrace();\n\t\t\tSystem.err.println(\"Could not open tabix file: \" + fileName);\n\t\t\tSystem.err.println(\"Is the file sorted and indexed? After sorting by position (sort e.g. -k1,1 -k2,2n), compress with bgzip and index with e.g.:\");\n\t\t\tSystem.err.println(\"\\nbgzip \" + fileName);\n\t\t\tSystem.err.println(\"tabix -p bed \" + fileName + \"\\n\");\n\t\t}\n\t\tArrayList<Double> screenScores= new ArrayList<Double>();\n\t\tfor(ScreenWiggleLocusInfo x : screenWigLocInfoList){\n\t\t\tscreenScores.add((double)x.getMeanScore());\n\t\t}\n\t\tthis.setScreenScores(screenScores);\n\t\treturn;\n\t}","private void calculateGoalsScoredPerGame(LeagueTableEntry entry) {\r\n\t\tfloat goalsScoredPerGame = (float) entry.getGoalsScored() / entry.getMatchesPlayed();\r\n\t\tentry.setGoalsScoredPerGame(goalsScoredPerGame);\r\n\t}","public void updateScore(){\n scoreChange++;\n if(scoreChange % 2 == 0){\n if(score_val < 999999999)\n score_val += 1;\n if(score_val > 999999999)\n score_val = 999999999;\n score.setText(\"Score:\" + String.format(\"%09d\", score_val));\n if(scoreChange == 10000)\n scoreChange = 0;\n }\n }"],"string":"[\n \"public void reduce ()\\r\\n {\\r\\n if (score.getPages().isEmpty()) {\\r\\n return;\\r\\n }\\r\\n\\r\\n /* Connect parts across the pages */\\r\\n connection = PartConnection.connectScorePages(pages);\\r\\n\\r\\n // Force the ids of all ScorePart's\\r\\n numberResults();\\r\\n\\r\\n // Create score part-list and connect to pages and systems parts\\r\\n addPartList();\\r\\n\\r\\n // Debug: List all candidates per result\\r\\n if (logger.isDebugEnabled()) {\\r\\n dumpResultMapping();\\r\\n }\\r\\n }\",\n \"public ScoreReduction (Score score)\\r\\n {\\r\\n this.score = score;\\r\\n\\r\\n for (TreeNode pn : score.getPages()) {\\r\\n Page page = (Page) pn;\\r\\n pages.put(page.getIndex(), page);\\r\\n }\\r\\n }\",\n \"protected abstract void calcScores();\",\n \"private IDictionary<String, Double> computeIdfScores(ISet<Webpage> pages) {\\n\\t\\tidfScores = new ChainedHashDictionary<String, Double>();\\n\\t\\tIDictionary<String, Double> docCount = new ChainedHashDictionary<String, Double>();\\n\\t\\t\\n\\t\\t// Iterates through every webpage and maps all of the unique word counts for that page\\n\\t\\tfor (Webpage page: pages) {\\n\\t\\t\\tIList<String> words = page.getWords();\\n\\t\\t\\tISet<String> keySet = getKeySet(words);\\n\\t\\t\\tfor (String word: keySet) {\\n\\t\\t\\t\\tif (!docCount.containsKey(word)) {\\n\\t\\t\\t\\t\\tdocCount.put(word, 1.0);\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tdocCount.put(word, docCount.get(word) + 1.0);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\tDouble totalDocuments = (double) pages.size();\\n\\t\\t\\n\\t\\t// Updates IDF scores\\n\\t\\tfor (KVPair<String, Double> pair: docCount) {\\n\\t\\t\\tidfScores.put(pair.getKey(), Math.log(totalDocuments / pair.getValue()));\\n\\t\\t}\\n\\t\\treturn idfScores;\\n }\",\n \"private void recalculate()\\n {\\n this.totalPages = this.contents.size() > 54 ? this.contents.size() / 45 : 1;\\n }\",\n \"public double agile(double scrum,double sub,double essay,double exam)\\n {\\n double a = ((25%100)*scrum)/100;\\n double b = ((5%100)*sub)/100;\\n double c = ((20%100)*essay)/100;\\n double d = ((50%100)*exam)/100;\\n double grade = ((a+b+c+d)/8);//*100;\\n return grade;\\n }\",\n \"protected abstract List<Double> calcScores();\",\n \"public void calculationScreen() {\\n letterGradeMap.put(\\\"Select a Grade\\\", 0.001);\\n letterGradeMap.put(\\\"O\\\", 10.0);\\n letterGradeMap.put(\\\"A+\\\", 9.0);\\n letterGradeMap.put(\\\"A\\\", 8.0);\\n letterGradeMap.put(\\\"B+\\\", 7.0);\\n letterGradeMap.put(\\\"B\\\", 6.0);\\n letterGradeMap.put(\\\"RA\\\", 0.0);\\n\\n HashMap<String, Double> sem1Map = new HashMap<>(sem01Subjects.length);\\n sem1Map.put(\\\"ENGLISH FOR PROFESSIONAL COMMUNICATION\\\", 3.0);\\n sem1Map.put(\\\"MATRICES AND CALCULUS\\\", 4.0);\\n sem1Map.put(\\\"PHYSICS FOR INFORMATION SCIENCE\\\", 3.0);\\n sem1Map.put(\\\"CHEMISTRY FOR INFORMATION SCIENCE\\\", 3.0);\\n sem1Map.put(\\\"PYTHON PROGRAMMING\\\", 3.0);\\n sem1Map.put(\\\"ENGINEERING GRAPHICS\\\", 3.0);\\n sem1Map.put(\\\"PHYSICS AND CHEMISTRY LABORATORY\\\", 2.0);\\n sem1Map.put(\\\"PYTHON PROGRAMMING LABORATORY\\\", 2.0);\\n perSemesterSubjectCredits.put(\\\"SEM01\\\", sem1Map);\\n\\n HashMap<String, Double> sem2Map = new HashMap<>(sem02Subjects.length);\\n sem2Map.put(\\\"TECHNICAL COMMUNICATION\\\", 2.0);\\n sem2Map.put(\\\"VECTOR CALCULUS AND TRANSFORMS\\\", 4.0);\\n sem2Map.put(\\\"BASICS OF ELECTRICAL AND ELECTRONICS ENGINEERING\\\", 3.0);\\n sem2Map.put(\\\"C PROGRAMMING\\\", 3.0);\\n sem2Map.put(\\\"ELECTRICAL AND ELECTRONICS LABORATORY\\\", 2.0);\\n sem2Map.put(\\\"C PROGRAMMING LABORATORY\\\", 2.0);\\n sem2Map.put(\\\"COMPUTER HARDWARE AND SOFTWARE TOOLS (computer workshop)\\\", 2.0);\\n sem2Map.put(\\\"FUNDAMENTALS OF COMPUTATIONAL BIOLOGY\\\", 0.0);\\n perSemesterSubjectCredits.put(\\\"SEM02\\\", sem2Map);\\n\\n HashMap<String, Double> sem3Map = new HashMap<>(sem03Subjects.length);\\n sem3Map.put(\\\"PROBABILITY AND QUEUEING THEORY\\\", 4.0);\\n sem3Map.put(\\\"DIGITAL SYSTEMS\\\", 3.0);\\n sem3Map.put(\\\"DATA STRUCTURES\\\", 3.0);\\n sem3Map.put(\\\"SOFTWARE ENGINEERING\\\", 3.0);\\n sem3Map.put(\\\"OBJECT ORIENTED PROGRAMMING SYSTEMS\\\", 3.0);\\n sem3Map.put(\\\"DATA STRUCTURES LABORATORY\\\", 2.0);\\n sem3Map.put(\\\"OBJECT ORIENTED PROGRAMMING SYSTEMS LABORATORY\\\", 2.0);\\n sem3Map.put(\\\"COMMUNICATION AND SOFT SKILLS\\\", 0.0);\\n perSemesterSubjectCredits.put(\\\"SEM03\\\", sem3Map);\\n\\n HashMap<String, Double> sem4Map = new HashMap<>(sem04Subjects.length);\\n sem4Map.put(\\\"DISCRETE MATHEMATICS\\\", 4.0);\\n sem4Map.put(\\\"DATABASE MANAGEMENT SYSTEMS\\\", 3.0);\\n sem4Map.put(\\\"OPERATING SYSTEM CONCEPTS\\\", 3.0);\\n sem4Map.put(\\\"DESIGN AND ANALYSIS OF ALGORITHMS\\\", 3.0);\\n sem4Map.put(\\\"COMPUTER ARCHITECTURE\\\", 3.0);\\n sem4Map.put(\\\"MICRO PROCESSORS AND MICRO CONTROLLERS\\\", 3.0);\\n sem4Map.put(\\\"DATABASE MANAGEMENT SYSTEMS LABORATORY\\\", 2.0);\\n sem4Map.put(\\\"INTERPERSONAL SKILLS-LISTENING AND SPEAKING\\\", 2.0);\\n sem4Map.put(\\\"ENVIRONMENTAL SCIENCE AND ENGINEERING\\\", 0.0);\\n perSemesterSubjectCredits.put(\\\"SEM04\\\", sem4Map);\\n\\n HashMap<String, Double> sem5Map = new HashMap<>(sem05Subjects.length);\\n sem5Map.put(\\\"THEORY OF COMPUTATION\\\", 3.0);\\n sem5Map.put(\\\"COMPUTER NETWORKS\\\", 3.0);\\n sem5Map.put(\\\"ELECTIVE I\\\", 3.0);\\n sem5Map.put(\\\"ELECTIVE II\\\", 3.0);\\n sem5Map.put(\\\"OPEN ELECTIVE-I\\\", 3.0);\\n sem5Map.put(\\\"SYSTEM ANALYSIS AND DESIGN LABORATORY\\\", 2.0);\\n sem5Map.put(\\\"COMPUTER NETWORKS LABORATORY\\\", 2.0);\\n sem5Map.put(\\\"LIFE SKILLS : APTITUDE\\\", 0.0);\\n perSemesterSubjectCredits.put(\\\"SEM05\\\", sem5Map);\\n\\n HashMap<String, Double> sem6Map = new HashMap<>(sem06Subjects.length);\\n sem6Map.put(\\\"COMPILER DESIGN\\\", 3.0);\\n sem6Map.put(\\\"CRYPTOGRAPHY AND NETWORK SECURITY\\\", 3.0);\\n sem6Map.put(\\\"ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING\\\", 3.0);\\n sem6Map.put(\\\"ELECTIVE III\\\", 3.0);\\n sem6Map.put(\\\"ELECTIVE IV\\\", 3.0);\\n sem6Map.put(\\\"OPEN ELECTIVE - II\\\", 3.0);\\n sem6Map.put(\\\"MOBILE APPLICATION DEVELOPMENT LABORATORY\\\", 2.0);\\n sem6Map.put(\\\"MINI PROJECT\\\", 2.0);\\n sem6Map.put(\\\"LIFE SKILLS : COMPETITIVE EXAMS\\\", 0.0);\\n perSemesterSubjectCredits.put(\\\"SEM06\\\", sem6Map);\\n\\n HashMap<String, Double> sem7Map = new HashMap<>(sem07Subjects.length);\\n sem7Map.put(\\\"PROFESSIONAL ETHICS FOR ENGINEERS\\\", 3.0);\\n sem7Map.put(\\\"GRAPHICS AND MULTIMEDIA\\\", 3.0);\\n sem7Map.put(\\\"SOFTWARE AND PROJECT MANAGEMENT\\\", 3.0);\\n sem7Map.put(\\\"ELECTIVE V\\\", 3.0);\\n sem7Map.put(\\\"ELECTIVE VI\\\", 3.0);\\n sem7Map.put(\\\"OPEN ELECTIVE - III\\\", 3.0);\\n sem7Map.put(\\\"GRAPHICS AND MULTIMEDIA LABORATORY\\\", 2.0);\\n sem7Map.put(\\\"TECHNICAL SEMINAR\\\", 1.0);\\n perSemesterSubjectCredits.put(\\\"SEM07\\\", sem7Map);\\n\\n HashMap<String, Double> sem8Map = new HashMap<>(sem08Subjects.length);\\n sem8Map.put(\\\"ELECTIVE VII\\\", 3.0);\\n sem8Map.put(\\\"ELECTIVE VIII\\\", 3.0);\\n sem8Map.put(\\\"OPEN ELECTIVE - IV\\\", 3.0);\\n sem8Map.put(\\\"PROJECT WORK\\\", 10.0);\\n perSemesterSubjectCredits.put(\\\"SEM08\\\", sem8Map);\\n\\n /** Creating Buttons. */\\n JButton[] calculateGPA = new JButton[8];\\n JButton[] ResetGPA = new JButton[8];\\n ButtonCreation calculateCGPA = new ButtonCreation(\\\"Calculate CGPA\\\");\\n ButtonCreation resetAll = new ButtonCreation(\\\"Reset ALL\\\");\\n for (int i = 0; i < 8; i++) {\\n calculateGPA[i] = new ButtonCreation(\\\"Calculate GPA\\\", font, \\\"CGPA\\\");\\n ResetGPA[i] = new ButtonCreation(\\\"Reset Grade Points\\\", font);\\n }\\n\\n /** Creating ComboBox Arrays. */\\n JComboBox[] sem01cb = new JComboBox[sem1Map.size()];\\n JComboBox[] sem02cb = new JComboBox[sem2Map.size()];\\n JComboBox[] sem03cb = new JComboBox[sem3Map.size()];\\n JComboBox[] sem04cb = new JComboBox[sem4Map.size()];\\n JComboBox[] sem05cb = new JComboBox[sem5Map.size()];\\n JComboBox[] sem06cb = new JComboBox[sem6Map.size()];\\n JComboBox[] sem07cb = new JComboBox[sem7Map.size()];\\n JComboBox[] sem08cb = new JComboBox[sem8Map.size()];\\n\\n allComboBoxes.put(\\\"SEM01\\\", sem01cb);\\n allComboBoxes.put(\\\"SEM02\\\", sem02cb);\\n allComboBoxes.put(\\\"SEM03\\\", sem03cb);\\n allComboBoxes.put(\\\"SEM04\\\", sem04cb);\\n allComboBoxes.put(\\\"SEM05\\\", sem05cb);\\n allComboBoxes.put(\\\"SEM06\\\", sem06cb);\\n allComboBoxes.put(\\\"SEM07\\\", sem07cb);\\n allComboBoxes.put(\\\"SEM08\\\", sem08cb);\\n\\n /** Creating Subject Label Arrays. */\\n JLabel[] sem01PaperLabel = new JLabel[8];\\n JLabel[] sem02PaperLabel = new JLabel[8];\\n JLabel[] sem03PaperLabel = new JLabel[8];\\n JLabel[] sem04PaperLabel = new JLabel[9];\\n JLabel[] sem05PaperLabel = new JLabel[8];\\n JLabel[] sem06PaperLabel = new JLabel[9];\\n JLabel[] sem07PaperLabel = new JLabel[8];\\n JLabel[] sem08PaperLabel = new JLabel[4];\\n\\n /** Creating Arrays to perform actions. */\\n ArrayList<JComboBox[]> allComboBoxesarray = new ArrayList<>();\\n allComboBoxesarray.add(sem01cb);\\n allComboBoxesarray.add(sem02cb);\\n allComboBoxesarray.add(sem03cb);\\n allComboBoxesarray.add(sem05cb);\\n allComboBoxesarray.add(sem07cb);\\n allComboBoxesarray.add(sem04cb);\\n allComboBoxesarray.add(sem06cb);\\n allComboBoxesarray.add(sem08cb);\\n\\n ArrayList<JComboBox[]> allSemesters8 = new ArrayList<>();\\n allSemesters8.add(sem01cb);\\n allSemesters8.add(sem02cb);\\n allSemesters8.add(sem03cb);\\n allSemesters8.add(sem05cb);\\n allSemesters8.add(sem07cb);\\n ArrayList<JComboBox[]> allSemesters9 = new ArrayList<>();\\n allSemesters9.add(sem04cb);\\n allSemesters9.add(sem06cb);\\n ArrayList<JComboBox[]> semester8 = new ArrayList<>();\\n semester8.add(sem08cb);\\n\\n\\n\\n cgpaButtons.put(\\\"SEM01\\\", calculateGPA[0]);\\n cgpaButtons.put(\\\"SEM02\\\", calculateGPA[1]);\\n cgpaButtons.put(\\\"SEM03\\\", calculateGPA[2]);\\n cgpaButtons.put(\\\"SEM04\\\", calculateGPA[3]);\\n cgpaButtons.put(\\\"SEM05\\\", calculateGPA[4]);\\n cgpaButtons.put(\\\"SEM06\\\", calculateGPA[5]);\\n cgpaButtons.put(\\\"SEM07\\\", calculateGPA[6]);\\n cgpaButtons.put(\\\"SEM08\\\", calculateGPA[7]);\\n\\n /** Creating ComboBox and adding those into panels along with Subject Labels. */\\n for (String key : allComboBoxes.keySet()) {\\n JComboBox[] entry = allComboBoxes.get(key);\\n for (JComboBox boxes : entry) {\\n for (int i = 0; i < entry.length; i++) {\\n if ( \\\"SEM01\\\".equals( key )) {\\n sem01cb[i] = new ComboBoxCreation(sem01cb[i], sem01Subjects[i]);\\n sem01PaperLabel[i] = new LabelCreation(sem01PaperLabel[i], sem01Subjects[i]);\\n } else {\\n if ( \\\"SEM02\\\".equals( key )) {\\n sem02cb[i] = new ComboBoxCreation(sem02cb[i], sem02Subjects[i]);\\n sem02PaperLabel[i] = new LabelCreation(sem02PaperLabel[i], sem02Subjects[i]);\\n } else {\\n if ( \\\"SEM03\\\".equals( key )) {\\n sem03cb[i] = new ComboBoxCreation(sem03cb[i], sem03Subjects[i]);\\n sem03PaperLabel[i] = new LabelCreation(sem03PaperLabel[i], sem03Subjects[i]);\\n } else {\\n if ( \\\"SEM04\\\".equals( key )) {\\n sem04cb[i] = new ComboBoxCreation(sem04cb[i], sem04Subjects[i]);\\n sem04PaperLabel[i] = new LabelCreation(sem04PaperLabel[i], sem04Subjects[i]);\\n\\n } else {\\n if ( \\\"SEM05\\\".equals( key )) {\\n sem05cb[i] = new ComboBoxCreation(sem05cb[i], sem05Subjects[i]);\\n sem05PaperLabel[i] = new LabelCreation(sem05PaperLabel[i], sem05Subjects[i]);\\n } else {\\n if ( \\\"SEM06\\\".equals( key )) {\\n sem06cb[i] = new ComboBoxCreation(sem06cb[i], sem06Subjects[i]);\\n sem06PaperLabel[i] = new LabelCreation(sem06PaperLabel[i], sem06Subjects[i]);\\n\\n } else {\\n if ( \\\"SEM07\\\".equals( key )) {\\n sem07cb[i] = new ComboBoxCreation(sem07cb[i], sem07Subjects[i]);\\n sem07PaperLabel[i] = new LabelCreation(sem07PaperLabel[i], sem07Subjects[i]);\\n } else {\\n if ( \\\"SEM08\\\".equals( key )) {\\n sem08cb[i] = new ComboBoxCreation(sem08cb[i], sem08Subjects[i]);\\n sem08PaperLabel[i] = new LabelCreation(sem08PaperLabel[i], sem08Subjects[i]);\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n\\n\\n\\n\\n // Creating All Panels\\n PanelCreation sem01 = new PanelCreation(9, 3, tabNamePanelName[0]);\\n PanelCreation sem02 = new PanelCreation(9, 3, tabNamePanelName[1]);\\n PanelCreation sem03 = new PanelCreation(9, 3, tabNamePanelName[2]);\\n PanelCreation sem04 = new PanelCreation(10, 3, tabNamePanelName[3]);\\n PanelCreation sem05 = new PanelCreation(9, 3, tabNamePanelName[4]);\\n PanelCreation sem06 = new PanelCreation(10, 3, tabNamePanelName[5]);\\n PanelCreation sem07 = new PanelCreation(9, 3, tabNamePanelName[6]);\\n PanelCreation sem08 = new PanelCreation(9, 3, tabNamePanelName[7]);\\n PanelCreation CGPA = new PanelCreation(1, 1, \\\"CGPA\\\");\\n\\n JTabbedPane semesterPane =\\n new JTabbedPane(JTabbedPane.TOP) {\\n {\\n addTab(tabNamePanelName[0], null, sem01, null);\\n addTab(tabNamePanelName[1], null, sem02, null);\\n addTab(tabNamePanelName[2], null, sem03, null);\\n addTab(tabNamePanelName[3], null, sem04, null);\\n addTab(tabNamePanelName[4], null, sem05, null);\\n addTab(tabNamePanelName[5], null, sem06, null);\\n addTab(tabNamePanelName[6], null, sem07, null);\\n addTab(tabNamePanelName[7], null, sem08, null);\\n addTab(tabNamePanelName[8], null, CGPA, null);\\n setBounds(0, 0, 517, 291);\\n setBackground(Color.YELLOW);\\n }\\n };\\n\\n for (int i = 0; i < 8; i++) {\\n sem01.add(sem01PaperLabel[i]);\\n sem01.add(sem01cb[i]);\\n sem02.add(sem02PaperLabel[i]);\\n sem02.add(sem02cb[i]);\\n sem03.add(sem03PaperLabel[i]);\\n sem03.add(sem03cb[i]);\\n sem05.add(sem05PaperLabel[i]);\\n sem05.add(sem05cb[i]);\\n sem07.add(sem07PaperLabel[i]);\\n sem07.add(sem07cb[i]);\\n }\\n for (int i = 0; i < sem4Map.size(); i++) {\\n // sem04cb[i] = new ComboBoxCreation(sem04cb[i], sem04Subjects[i]);\\n sem04PaperLabel[i] = new LabelCreation(sem04PaperLabel[i], sem04Subjects[i]);\\n sem04.add(sem04PaperLabel[i]);\\n sem04.add(sem04cb[i]);\\n }\\n\\n for (int i = 0; i < sem6Map.size(); i++) {\\n sem06PaperLabel[i] = new LabelCreation(sem06PaperLabel[i], sem06Subjects[i]);\\n sem06.add(sem06PaperLabel[i]);\\n sem06.add(sem06cb[i]);\\n }\\n\\n for (int i = 0; i < sem8Map.size(); i++) {\\n sem08PaperLabel[i] = new LabelCreation(sem08PaperLabel[i], sem08Subjects[i]);\\n sem08.add(sem08PaperLabel[i]);\\n sem08.add(sem08cb[i]);\\n }\\n\\n sem01.add(calculateGPA[0]);\\n sem01.add(ResetGPA[0]);\\n sem02.add(calculateGPA[1]);\\n sem02.add(ResetGPA[1]);\\n sem03.add(calculateGPA[2]);\\n sem03.add(ResetGPA[2]);\\n sem04.add(calculateGPA[3]);\\n sem04.add(ResetGPA[3]);\\n sem05.add(calculateGPA[4]);\\n sem05.add(ResetGPA[4]);\\n sem06.add(calculateGPA[5]);\\n sem06.add(ResetGPA[5]);\\n sem07.add(calculateGPA[6]);\\n sem07.add(ResetGPA[6]);\\n sem08.add(calculateGPA[7]);\\n sem08.add(ResetGPA[7]);\\n sem08.add(resetAll);\\n CGPA.add(calculateCGPA);\\n\\n // Creating an array of CGPA and GPA Buttons.\\n ArrayList<JButton[]> allSemestersGPAButton = new ArrayList<>();\\n allSemestersGPAButton.add(calculateGPA);\\n ArrayList<JButton> allSemestersCGPAButton = new ArrayList<>();\\n allSemestersCGPAButton.add(calculateCGPA);\\n ArrayList<JButton[]> ResetButton = new ArrayList<>();\\n ResetButton.add(ResetGPA);\\n\\n // Creating an Action Listener for all the pull down menus.\\n for (JComboBox[] sem : allSemesters8) {\\n for (int i = 0; i < 8; i++) {\\n sem[i].addActionListener(\\n new ActionListener() {\\n @Override\\n public void actionPerformed(ActionEvent event) {\\n\\n JComboBox<String> combo = (JComboBox<String>) event.getSource();\\n String gradeSelection = (String) combo.getSelectedItem();\\n String semesterName = combo.getParent().getName();\\n String subjectName = combo.getName();\\n Double intGrade = letterGradeMap.get(gradeSelection);\\n HashMap<String, Double> semGrades =\\n resultsCGPA.getOrDefault(semesterName, new HashMap<>());\\n semGrades.put(subjectName, intGrade);\\n resultsCGPA.putIfAbsent(semesterName, semGrades);\\n }\\n });\\n }\\n }\\n for (JComboBox[] sem : allSemesters9) {\\n for (int i = 0; i < 9; i++) {\\n sem[i].addActionListener(\\n new ActionListener() {\\n @Override\\n public void actionPerformed(ActionEvent event) {\\n\\n JComboBox<String> combo = (JComboBox<String>) event.getSource();\\n String gradeSelection = (String) combo.getSelectedItem();\\n String semesterName = combo.getParent().getName();\\n String subjectName = combo.getName();\\n Double intGrade = letterGradeMap.get(gradeSelection);\\n HashMap<String, Double> semGrades =\\n resultsCGPA.getOrDefault(semesterName, new HashMap<>());\\n semGrades.put(subjectName, intGrade);\\n resultsCGPA.putIfAbsent(semesterName, semGrades);\\n }\\n });\\n }\\n }\\n for (JComboBox[] sem : semester8) {\\n for (int i = 0; i < 4; i++) {\\n sem[i].addActionListener(\\n new ActionListener() {\\n @Override\\n public void actionPerformed(ActionEvent event) {\\n\\n JComboBox<String> combo = (JComboBox<String>) event.getSource();\\n String gradeSelection = (String) combo.getSelectedItem();\\n String semesterName = combo.getParent().getName();\\n String subjectName = combo.getName();\\n Double intGrade = letterGradeMap.get(gradeSelection);\\n HashMap<String, Double> semGrades =\\n resultsCGPA.getOrDefault(semesterName, new HashMap<>());\\n semGrades.put(subjectName, intGrade);\\n resultsCGPA.putIfAbsent(semesterName, semGrades);\\n }\\n });\\n }\\n }\\n\\n // Creating an Action Listener for GPA Button.\\n for (JButton[] cgp : allSemestersGPAButton) {\\n for (int i = 0; i <= 7; i++) {\\n cgp[i].addActionListener(\\n new ActionListener() {\\n @Override\\n public void actionPerformed(ActionEvent event) {\\n JButton currentButton = (JButton) event.getSource();\\n String semesterName = currentButton.getParent().getName();\\n // System.out.println(semesterName);\\n HashMap<String, Double> semGrades = resultsCGPA.get(semesterName);\\n // semGrades.values().forEach(semesterSubjectsGradeMap.get(sem01Subjects));\\n HashMap<String, Double> semGradesMax = perSemesterSubjectCredits.get(semesterName);\\n Double sumOfGrades = 0d;\\n for (Map.Entry<String, Double> entry : semGrades.entrySet()) {\\n sumOfGrades += semGradesMax.get(entry.getKey()) * entry.getValue();\\n }\\n Double maxCreditsForSem = semGradesMax.values().stream().reduce(0d, Double::sum);\\n Double gpa = sumOfGrades / maxCreditsForSem;\\n long roundedInt = Math.round(gpa * 100);\\n double result = (double) roundedInt / 100;\\n currentButton.setText(\\n \\\"(Click to Calculate again) Your GPA for this semester =\\\"\\n + String.valueOf(result));\\n }\\n });\\n }\\n }\\n\\n // Creating an Action Listener for CGPA Button.\\n for (JButton cgpa : allSemestersCGPAButton) {\\n for (int i = 0; i <= 7; i++) {\\n cgpa.addActionListener(\\n new ActionListener() {\\n @Override\\n public void actionPerformed(ActionEvent event) {\\n JButton currentButton = (JButton) event.getSource();\\n Double sumOfGradesReceived = 0d;\\n Double totalCredits = 0d;\\n for (String semCompleted : resultsCGPA.keySet()) {\\n HashMap<String, Double> semGrades = resultsCGPA.get(semCompleted);\\n HashMap<String, Double> semGradesMax =\\n perSemesterSubjectCredits.get(semCompleted);\\n totalCredits += semGradesMax.values().stream().reduce(0d, Double::sum);\\n for (Map.Entry<String, Double> entry : semGrades.entrySet()) {\\n sumOfGradesReceived += semGradesMax.get(entry.getKey()) * entry.getValue();\\n }\\n }\\n Double cgpa = sumOfGradesReceived / totalCredits;\\n long roundedInt = Math.round(cgpa * 100);\\n double result = (double) roundedInt / 100;\\n currentButton.setText(\\n \\\"Your CGPA is =\\\" + String.valueOf(result) + \\\" \\\\n Click to Calculate again\\\");\\n }\\n });\\n }\\n }\\n\\n // Creating an Action Listener for Reset ComboBoxes Button.\\n for (JButton[] reset : ResetButton) {\\n for (int i = 0; i < perSemesterSubjectCredits.entrySet().size(); i++) {\\n {\\n reset[i].addActionListener(\\n new ActionListener() {\\n @Override\\n public void actionPerformed(ActionEvent event) {\\n JButton currentButton = (JButton) event.getSource();\\n String semesterName = currentButton.getParent().getName();\\n String panelName = currentButton.getName();\\n for (JComboBox semesterComboBoxes : allComboBoxes.get(semesterName)) {\\n semesterComboBoxes.setSelectedIndex(0);\\n resultsCGPA.get(semesterName).keySet().clear();\\n cgpaButtons.get(semesterName).setText(\\\"Calculate GPA\\\");\\n }\\n }\\n });\\n }\\n }\\n\\n resetAll.addActionListener(\\n new ActionListener() {\\n @Override\\n public void actionPerformed(ActionEvent event) {\\n for (Map.Entry<String, JComboBox[]> entry : allComboBoxes.entrySet()) {\\n for(JComboBox boxes : entry.getValue ()){\\n boxes.setSelectedIndex ( 0 );\\n }\\n }\\n resultsCGPA.clear();\\n for (int i = 0; i <= perSemesterSubjectCredits.keySet().size(); i++) {\\n //semesterComboBoxes[i].setSelectedIndex(0);\\n resultsCGPA.clear();\\n for (JButton[] cgp : allSemestersGPAButton) {\\n for (int l = 0; l <= 7; l++) {\\n cgp[l].setText(\\\"Calculate GPA\\\");\\n }\\n for (JButton ccgp : allSemestersCGPAButton) {\\n for (int m = 0; m <= 7; m++) {\\n ccgp.setText(\\\"Calculate CGPA\\\");\\n }\\n }\\n }\\n }\\n }\\n\\n });\\n\\n // Creating a Tabbed Pane and adding all panels into it.\\n getContentPane().add(semesterPane);\\n setSize(1300, 500);\\n setTitle(\\\"CGPA Calculation Screen\\\");\\n setLocationRelativeTo(null);\\n setResizable(false);\\n setVisible(true);\\n setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);\\n }\\n }\",\n \"public void calculateScore() {\\n for (Sequence seq: currentSeq) {\\n double wordWeight = Retriever.getWeight(seq);\\n String token = seq.getToken();\\n int size = seq.getRight() - seq.getLeft() + 1;\\n int titleCount = getCount(token.toLowerCase(), title.toLowerCase());\\n if (titleCount != 0) {\\n setMatch(size);\\n setTitleContains(true);\\n }\\n int lowerCount = getCount(token.toLowerCase(), lowerContent);\\n if (lowerCount == 0) {\\n// scoreInfo += \\\"Token: \\\" + token + \\\" Original=0 Lower=0 WordWeight=\\\" + wordWeight + \\\" wordTotal=0\\\\n\\\";\\n continue;\\n }\\n int originalCount = getCount(token, content);\\n lowerCount = lowerCount - originalCount;\\n if (lowerCount != 0 || originalCount != 0) {\\n setMatch(size);\\n }\\n double originalScore = formula(wordWeight, originalCount);\\n double lowerScore = formula(wordWeight, lowerCount);\\n final double weight = 1.5;\\n double addedScore = weight * originalScore + lowerScore;\\n// scoreInfo += \\\"Token: \\\" + token + \\\" Original=\\\" + originalScore + \\\" Lower=\\\" + lowerScore +\\n// \\\" WordWeight=\\\" + wordWeight + \\\" wordTotal=\\\" + addedScore + \\\"\\\\n\\\";\\n dependencyScore += addedScore;\\n }\\n currentSeq.clear();\\n }\",\n \"public static void main( String args[] ) throws Exception\\n\\t{\\n\\t\\t\\tBufferedReader infile = new BufferedReader( new FileReader( \\\"ExamScores.txt\\\" ) );\\n\\n\\t\\t\\t// you declare all needed ArrayLists and other variables from here on.\\n\\t\\t\\tArrayList<String> lines = new ArrayList<String>();\\n\\n\\t\\t\\tSystem.out.println(\\\"\\\\nSTEP #1: 50%\\\"); // 50%\\n\\t\\t\\twhile (infile.ready()) {\\n\\t\\t\\t\\tString line = infile.readLine();\\n\\t\\t\\t\\tSystem.out.println(line);\\n\\t\\t\\t\\tlines.add(line);\\n\\t\\t\\t}\\n\\t\\t\\tinfile.close();\\n\\n\\n\\t\\t\\tSystem.out.println(\\\"\\\\nSTEP #2: 25%\\\"); // 75 %\\n\\t\\t\\tCollections.sort(lines);\\n\\t\\t\\tfor (String s: lines)\\n\\t\\t\\t\\tSystem.out.println(s);\\n\\n\\t\\t\\tSystem.out.println(\\\"\\\\nSTEP #3: 10%\\\"); // 85%\\n\\n\\t\\t\\tTreeMap<String, ArrayList<Integer>> st2sc = new TreeMap<String, ArrayList<Integer>>();\\n\\t\\t\\tTreeMap<Double, String> ave2st = new TreeMap<Double, String>();\\n\\t\\t\\tint[] sum = new int[lines.get(0).split(\\\"\\\\\\\\s+\\\").length-1];\\n\\t\\t\\t\\n\\t\\t\\tinfile = new BufferedReader ( new FileReader(\\\"query.txt\\\") );\\n\\t\\t\\tString[] queryS= infile.readLine().split(\\\" \\\");\\n\\t\\t\\tint[] query = new int[queryS.length];\\n\\t\\t\\tfor (int i=0; i<queryS.length; i++)\\n\\t\\t\\t\\tquery[i]=Integer.parseInt(queryS[i]);\\n\\t\\t\\tfor (String s: lines)\\n\\t\\t\\t{\\t\\n\\t\\t\\t\\tdouble sumq = 0;\\n\\t\\t\\t\\tdouble aveq = 0;\\n\\t\\t\\t\\tString[] tokens = s.split(\\\"\\\\\\\\s+\\\");\\n\\t\\t\\t\\tArrayList<Integer> scores = new ArrayList<Integer>();\\n\\t\\t\\t\\tfor (int t=1; t<tokens.length; t++){\\n\\t\\t\\t\\t\\tscores.add(Integer.parseInt(tokens[t]));\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tst2sc.put(tokens[0], scores);\\n\\t\\t\\t\\tfor (int q: query)\\n\\t\\t\\t\\t\\tsumq += Integer.parseInt(tokens[q]);\\n\\t\\t\\t\\tfor (int nth = 0; nth<sum.length; nth++){\\n\\t\\t\\t\\t\\tsum[nth]+= Integer.parseInt(tokens[nth+1]);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\taveq = sumq/3;\\n\\t\\t\\t\\tave2st.put(aveq, tokens[0]);\\n\\t\\t\\t}\\n\\t\\t\\tfor (double f: ave2st.keySet())\\n\\t\\t\\t\\tSystem.out.printf(ave2st.get(f)+\\\" \\\"+\\\"%.2f\\\\n\\\", f);\\n\\n\\t\\t\\tSystem.out.println(\\\"\\\\nSTEP #4: 15%\\\"); // 100%\\n\\t\\t\\t\\n\\t\\t\\tint lowest = sum[0];\\n\\t\\t\\tint which = 0;\\n\\t\\t\\tfor (int i=1; i<sum.length; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif (sum[i]<lowest)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tlowest = sum[i];\\n\\t\\t\\t\\t\\twhich = i;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println(\\\"exam\\\"+(which+1)+\\\" had the lowest average\\\");\\n\\n\\n\\t}\",\n \"private void histogramScore() {\\r\\n View.histogram(score, 0, this.getSize().width + 15, 0);\\r\\n }\",\n \"public List<Page> hits(String query) {\\n\\t\\t// pages <- EXPAND-PAGES(RELEVANT-PAGES(query))\\n\\t\\tList<Page> pages = expandPages(relevantPages(query));\\n\\t\\t// for each p in pages\\n\\t\\tfor (Page p : pages) {\\n\\t\\t\\t// p.AUTHORITY <- 1\\n\\t\\t\\tp.authority = 1;\\n\\t\\t\\t// p.HUB <- 1\\n\\t\\t\\tp.hub = 1;\\n\\t\\t}\\n\\t\\t// repeat until convergence do\\n\\t\\twhile (!convergence(pages)) {\\n\\t\\t\\t// for each p in pages do\\n\\t\\t\\tfor (Page p : pages) {\\n\\t\\t\\t\\t// p.AUTHORITY <- &Sigma<sub>i</sub> INLINK<sub>i</sub>(p).HUB\\n\\t\\t\\t\\tp.authority = SumInlinkHubScore(p);\\n\\t\\t\\t\\t// p.HUB <- Σ<sub>i</sub> OUTLINK<sub>i</sub>(p).AUTHORITY\\n\\t\\t\\t\\tp.hub = SumOutlinkAuthorityScore(p);\\n\\t\\t\\t}\\n\\t\\t\\t// NORMALIZE(pages)\\n\\t\\t\\tnormalize(pages);\\n\\t\\t}\\n\\t\\treturn pages;\\n\\n\\t}\",\n \"private void bigWigToScores(BBFileReader reader){\\n\\n\\t\\t// List of length equal to screen size. Each inner map contains info about the screen locus \\n\\t\\tList<ScreenWiggleLocusInfo> screenWigLocInfoList= new ArrayList<ScreenWiggleLocusInfo>();\\n\\t\\tfor(int i= 0; i < getGc().getUserWindowSize(); i++){\\n\\t\\t\\tscreenWigLocInfoList.add(new ScreenWiggleLocusInfo());\\n\\t\\t}\\n\\t\\t\\n\\t\\tBigWigIterator iter = reader.getBigWigIterator(getGc().getChrom(), getGc().getFrom(), getGc().getChrom(), getGc().getTo(), false);\\n\\t\\twhile(iter.hasNext()){\\n\\t\\t\\tWigItem bw = iter.next();\\n\\t\\t\\tfor(int i= bw.getStartBase(); i <= bw.getEndBase(); i++){\\n\\t\\t\\t\\tint idx= Utils.getIndexOfclosestValue(i, getGc().getMapping()); // Where should this position be mapped on screen?\\n\\t\\t\\t\\tscreenWigLocInfoList.get(idx).increment(bw.getWigValue());\\n\\t\\t\\t} \\n\\t\\t}\\n\\t\\tArrayList<Double> screenScores= new ArrayList<Double>();\\n\\t\\tfor(ScreenWiggleLocusInfo x : screenWigLocInfoList){\\n\\t\\t\\tscreenScores.add((double)x.getMeanScore());\\n\\t\\t}\\n\\t\\tthis.setScreenScores(screenScores);\\t\\t\\n\\t}\",\n \"private double calcScorePercent() {\\n\\t\\tdouble adjustedLab = totalPP * labWeight;\\n\\t\\tdouble adjustedProj = totalPP * projWeight;\\n\\t\\tdouble adjustedExam = totalPP * examWeight;\\n\\t\\tdouble adjustedCodeLab = totalPP * codeLabWeight;\\n\\t\\tdouble adjustedFinal = totalPP * finalWeight;\\n\\n\\t\\tlabScore = (labScore / labPP) * adjustedLab;\\n\\t\\tprojScore = (projScore / projPP) * adjustedProj;\\n\\t\\texamScore = (examScore / examPP) * adjustedExam;\\n\\t\\tcodeLabScore = (codeLabScore / codeLabPP) * adjustedCodeLab;\\n\\t\\tfinalExamScore = (finalExamScore / finalExamPP) * adjustedFinal;\\n\\n//\\t\\tdouble labPercent = labScore / adjustedLab;\\n//\\t\\tdouble projPercent = projScore / adjustedProj;\\n//\\t\\tdouble examPercent = examScore / adjustedExam;\\n//\\t\\tdouble codeLabPercent = codeLabScore / adjustedCodeLab;\\n//\\t\\tdouble finalPercent = finalExamScore / adjustedFinal;\\n\\n\\t\\tdouble totalPercent = (labScore + projScore + examScore + codeLabScore + finalExamScore) / totalPP;\\n\\t\\t\\n\\t\\tscorePercent = totalPercent;\\n\\t\\t\\n\\t\\treturn totalPercent;\\n\\t}\",\n \"private void calculateOverall()\\n {\\n ArrayList<Integer> average = new ArrayList<Integer>(1);\\n ArrayList<Integer> median = new ArrayList<Integer>(1);\\n ArrayList<Integer> mode = new ArrayList<Integer>();\\n ArrayList<Integer> stdDev = new ArrayList<Integer>(1);\\n \\n int avg = 0;\\n int med = 90;\\n int mod = 90;\\n int dev = 0;\\n \\n int[] modeArray = new int[100];\\n \\n for (int i = 0; i < 100; i++) {\\n \\tmodeArray[i] = 0;\\n }\\n \\n for (Integer score : allScores) {\\n \\tavg += score;\\n \\tmodeArray[score]++;\\n }\\n \\n for (int i = 0; i < 100; i++) {\\n \\tif (modeArray[i] > mod) {\\n \\t\\tmod = modeArray[i];\\n \\t}\\n }\\n \\n avg = avg / allScores.size();\\n \\n Collections.sort(allScores);\\n med = allScores.get(allScores.size() / 2);\\n \\n for (Integer score : allScores) {\\n \\tdev += Math.pow(score - avg, 2);\\n }\\n dev = (int)Math.floor(Math.sqrt(dev / allScores.size()));\\n\\n // TODO: Perform the actual calculations here\\n average.add(avg);\\n median.add(med);\\n mode.add(mod);\\n stdDev.add(dev);\\n\\n this.overallAnalytics.put(\\\"Average\\\", average);\\n this.overallAnalytics.put(\\\"Median\\\", median);\\n this.overallAnalytics.put(\\\"Mode\\\", mode);\\n this.overallAnalytics.put(\\\"Standard Deviation\\\", stdDev);\\n }\",\n \"public double SumOutlinkAuthorityScore(Page page) {\\n\\t\\tList<String> outLinks = page.getOutlinks();\\n\\t\\tdouble authScore = 0;\\n\\t\\tfor (String outLink1 : outLinks) {\\n\\t\\t\\tPage outLink = pTable.get(outLink1);\\n\\t\\t\\tif (outLink != null)\\n\\t\\t\\t\\tauthScore += outLink.authority;\\n\\t\\t}\\n\\t\\treturn authScore;\\n\\t}\",\n \"int getPagesAmount();\",\n \"public Iterator rankOrdering(Iterator pages)\\n\\t{\\n\\t\\t//Iterator allWebNode = ind.retrievePages(keyword);\\n\\t\\tIterator allWebNode = pages;\\n\\t\\tif(allWebNode.hasNext()){\\n\\t\\t\\tWebNode wb = (WebNode) allWebNode.next();\\n\\t\\t\\tint score = wb.getInDegree() * wb.getWordFreq(keyword);\\n\\t\\t\\twb.keywordScore = score;\\n\\t\\t\\taL.add(wb); \\n\\t\\t}\\n\\t\\t\\n\\t\\twhile (allWebNode.hasNext()) {\\n\\t\\t\\tWebNode nwb = (WebNode) allWebNode.next();\\n\\t\\t\\tint nscore = nwb.getInDegree() * nwb.getWordFreq(keyword);\\n\\t\\t\\tnwb.keywordScore = nscore;\\n\\t\\t\\tint i = 0; \\n\\t\\t\\twhile(i<aL.size()){\\n\\t\\t\\t\\tif (nwb.keywordScore < ((WebNode) aL.get(i)).keywordScore)\\n\\t\\t\\t \\ti++;\\n\\t\\t\\t else\\n\\t\\t\\t \\taL.add(i,nwb);\\n\\t\\t\\t} \\n\\t\\t}\\n\\t\\t\\n\\t\\treturn aL.iterator();\\n\\t}\",\n \"public double SumInlinkHubScore(Page page) {\\n\\t\\tList<String> inLinks = page.getInlinks();\\n\\t\\tdouble hubScore = 0;\\n\\t\\tfor (String inLink1 : inLinks) {\\n\\t\\t\\tPage inLink = pTable.get(inLink1);\\n\\t\\t\\tif (inLink != null)\\n\\t\\t\\t\\thubScore += inLink.hub;\\n\\t\\t\\t// else: page is linked to by a Page not in our table\\n\\t\\t}\\n\\t\\treturn hubScore;\\n\\t}\",\n \"protected void adjustScore() {\\r\\n scoreMultiplier = (int) (mineField.getDensity() * 100);\\r\\n maxScore = scoreMultiplier * (int) Math.pow( mineField.getFieldLength(), 2.0 );\\r\\n }\",\n \"private void updateTotalPageNumbers() {\\n totalPageNumbers = rows.size() / NUM_ROWS_PER_PAGE;\\n }\",\n \"void printScore(double sum[]){\\n \\n if((sum[1] > sum [4]) && (sum[1] > sum[5]) ){\\n System.out.println(\\\"among 1 4 5 => 1\\\");\\n }\\n if((sum[4] > sum [1]) && (sum[4] > sum[5]) ){\\n System.out.println(\\\"among 1 4 5 => 4\\\");\\n }\\n if((sum[5] > sum [1]) && (sum[5] > sum[4]) ){\\n System.out.println(\\\"among 1 4 5 => 5\\\");\\n }\\n if((sum[2] > sum [6]) && (sum[2] > sum[8]) ){\\n System.out.println(\\\"among 2 6 8 => 2\\\");\\n }\\n if((sum[6] > sum [2]) && (sum[6] > sum[8]) ){\\n System.out.println(\\\"among 2 6 8 => 6\\\");\\n }\\n if((sum[8] > sum [2]) && (sum[8] > sum[6]) ){\\n System.out.println(\\\"among 2 6 8 => 8\\\");\\n }\\n if((sum[3] > sum [0]) && (sum[3] > sum[7]) ){\\n System.out.println(\\\"among 3 0 7 => 3\\\");\\n }\\n if((sum[0] > sum [3]) && (sum[0] > sum[7]) ){\\n System.out.println(\\\"among 3 0 7 => 0\\\");\\n }\\n if((sum[7] > sum [3]) && (sum[7] > sum[0]) ){\\n System.out.println(\\\"among 3 0 7 => 7\\\");\\n }\\n }\",\n \"public void loadScore() {\\n for (int i = 0; i < 4; i++) {\\n int[] enemyTankNum = CollisionUtility.getEnemyTankNum();\\n tankNumList[i] = enemyTankNum[i];\\n }\\n for (int i = 0; i < 4; i++) {\\n tankScoreList[i] = tankNumList[i] * 100 * (i + 1);\\n }\\n for (Integer score : tankScoreList) {\\n totalScore += score;\\n }\\n for (Integer num : tankNumList) {\\n totalTankNum += num;\\n }\\n }\",\n \"public double computePageRank(URI pageUri) {\\n \\treturn this.pageRanks.containsKey(pageUri) ? this.pageRanks.get(pageUri) : 0.0;\\n }\",\n \"public static int generateScore(LinkedList<MatchInterface> subClasses,\\r\\n\\t\\t\\tLinkedList<ElementMatch> elements) {\\r\\n\\t\\tdouble total_weight = 0;\\r\\n\\t\\tint score = 0;\\r\\n\\r\\n\\t\\tElementMatch el;\\r\\n\\t\\tMatchInterface mat;\\r\\n\\t\\tIterator<ElementMatch> iterel;\\r\\n\\t\\tIterator<MatchInterface> itermatch;\\r\\n\\r\\n\\t\\titerel = elements.iterator();\\r\\n\\t\\twhile (iterel.hasNext()) {\\r\\n\\t\\t\\tel = iterel.next();\\r\\n\\t\\t\\ttotal_weight += el.getWeight();\\r\\n\\t\\t}\\r\\n\\t\\titermatch = subClasses.iterator();\\r\\n\\t\\twhile (itermatch.hasNext()) {\\r\\n\\t\\t\\tmat = itermatch.next();\\r\\n\\t\\t\\ttotal_weight += mat.getWeight();\\r\\n\\t\\t}\\r\\n\\t\\tdouble temp;\\r\\n\\t\\tdouble elmlocalscore = 0.0;\\r\\n\\r\\n\\t\\titerel = elements.iterator();\\r\\n\\t\\twhile (iterel.hasNext()) {\\r\\n\\t\\t\\tel = iterel.next();\\r\\n\\t\\t\\ttemp = (el.getWeight() / total_weight) * 2000\\r\\n\\t\\t\\t\\t\\t* el.numMatchedEntries()\\r\\n\\t\\t\\t\\t\\t/ (el.numEntryFirstUser() + el.numEntrySecondUser());\\r\\n\\r\\n\\t\\t\\ttry {\\r\\n\\t\\t\\t\\telmlocalscore = 2000 * el.numMatchedEntries()\\r\\n\\t\\t\\t\\t\\t\\t/ (el.numEntryFirstUser() + el.numEntrySecondUser());\\r\\n\\t\\t\\t} catch (ArithmeticException e) {\\r\\n\\t\\t\\t\\t// TODO Auto-generated catch block\\r\\n\\t\\t\\t\\t// e.printStackTrace();\\r\\n\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\tif (temp >= 0 && temp <= 1000) {\\r\\n\\t\\t\\t\\tscore += temp;\\r\\n\\t\\t\\t\\tel.setScore(elmlocalscore);\\r\\n\\t\\t\\t} else {\\r\\n\\t\\t\\t\\tel.setScore(0);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\titermatch = subClasses.iterator();\\r\\n\\t\\twhile (itermatch.hasNext()) {\\r\\n\\t\\t\\tmat = itermatch.next();\\r\\n\\t\\t\\tscore += (mat.getWeight() / total_weight) * mat.generateScore();\\r\\n\\t\\t}\\r\\n\\t\\treturn score;\\r\\n\\t}\",\n \"public void calculateScores()\\r\\n {\\r\\n for(int i = 0; i < gameBoard.getBoardRows(); i++)\\r\\n for(int j = 0; j < gameBoard.getBoardCols(); j++)\\r\\n {\\r\\n if(gameBoard.tilePlayer(i,j) == 0)\\r\\n currentRedScore = currentRedScore + gameBoard.tileScore(i,j);\\r\\n if(gameBoard.tilePlayer(i,j) == 1)\\r\\n currentBlueScore = currentBlueScore + gameBoard.tileScore(i,j);\\r\\n }\\r\\n }\",\n \"@Test\\r\\n public void calculateScore() {\\r\\n board3.swapTiles(0,0,1,1);\\r\\n board3.getSlidingScoreBoard().setTime(2);\\r\\n board3.getSlidingScoreBoard().calculateScore();\\r\\n assertEquals(496, board3.getSlidingScoreBoard().getScore());\\r\\n }\",\n \"public double maths(double algebra,double stats,double proof,double setTheory, double mathExam)\\n {\\n double a = ((10%100)*algebra)/100;\\n double b = ((15%100)*stats)/100;\\n double c = ((12.5%100)*proof)/100;\\n double d = ((12.5%100)*setTheory)/100;\\n double e = ((50%100)*setTheory)/100;\\n double grade = ((a+b+c+d+e)/8);//*100;\\n return grade;\\n }\",\n \"public double web(double html,double javascript,double mySQL,double php,double webExam)\\n {\\n double a = ((10%100)*html)/100;\\n double b = ((15%100)*javascript)/100;\\n double c = ((12.5%100)*mySQL)/100;\\n double d = ((12.5%100)*php)/100;\\n double e = ((50%100)*webExam)/100;\\n double grade = ((a+b+c+d+e)/8);//*100;\\n return grade;\\n }\",\n \"@Override\\n public void setContentProportion(int good, int firstpageNum) {\\n }\",\n \"public int getHomeScore();\",\n \"private double getPercentage(View child, int screen){\\n /* CellLayout related size\\n * current content\\n * ***************\\n * ********* ********* ********* *********\\n * * * * * * * * *\\n * * * * * * * * *\\n * * * * * * * * *\\n * * * * * * * * *\\n * ********* ********* ********* *********\\n * *** ***************\\n * * *\\n * * *\\n * * getWidth() == child.getWidth() + 2 * gapOfCellLayouts\\n * gapOfCellLayouts\\n *\\n * mScroll change (child.getWidth() + gapOfCellLayouts) every time you scroll\\n */\\n\\n // the gap between two CellLayouts\\n double gapOfCellLayouts = ( getWidth() - child.getWidth() ) / 2;\\n double molecular = getScrollX() - ( getChildOffset(screen) - gapOfCellLayouts );\\n double denominator = child.getWidth() + gapOfCellLayouts;\\n double percentage = molecular / denominator;\\n\\n if( percentage < -1 || percentage > 1 ) {\\n // for the scroll between first and last screen\\n if( getScrollX() < 0 ) {\\n percentage = 1 + getScrollX() / denominator;\\n }else{\\n int last = getChildCount() - 1;\\n int leftEdge = getChildOffset(last) + child.getWidth();\\n /* YUNOS BEGIN PB*/\\n //##modules(HomeShell): ##author:guoshuai.lgs\\n //##BugID:(5419657) ##date:2014/10/30\\n //##decrpition: check the current screen position in editmode.\\n if (mLauncher.isEditMode()) {\\n if ((getChildOffset(screen) + child.getWidth()) > getScrollX()) {\\n percentage = (getScrollX() - leftEdge) / denominator;\\n }\\n } else {\\n percentage = (getScrollX() - leftEdge) / denominator;\\n }\\n //percentage = (getScrollX() - leftEdge) / denominator;\\n /* YUNOS END PB*/\\n }\\n }\\n\\n return percentage;\\n }\",\n \"public void calcScore(int score) {\\r\\n\\t\\tif (initFinish)\\r\\n\\t\\t\\tthis.score += score * this.multy;\\r\\n\\t\\t// TODO delete\\r\\n//\\t\\tSystem.out.println(\\\"score: \\\" + this.score + \\\"multy: \\\" + this.multy);\\r\\n\\t}\",\n \"private void weeklyScores(RoutingContext context) {\\n\\t}\",\n \"double calculateScore(String documentId);\",\n \"public ScoreboardHandler addPages(ScoreboardPage... pages)\\n {\\n this.pages.addAll(Arrays.asList(pages));\\n\\n return this;\\n }\",\n \"void addScore(double score){\\n\\t\\tsumScore+=score;\\n\\t\\tnumScores++;\\n\\t\\taverage = sumScore/numScores;\\n\\t}\",\n \"public void report(List<Page> result) {\\n\\n\\t\\t// Print Pages out ranked by highest authority\\n\\t\\tsortAuthority(result);\\n\\t\\tSystem.out.println(\\\"AUTHORITY RANKINGS : \\\");\\n\\t\\tfor (Page currP : result)\\n\\t\\t\\tSystem.out.printf(currP.getLocation() + \\\": \\\" + \\\"%.5f\\\" + '\\\\n', currP.authority);\\n\\t\\tSystem.out.println();\\n\\t\\t// Print Pages out ranked by highest hub\\n\\t\\tsortHub(result);\\n\\t\\tSystem.out.println(\\\"HUB RANKINGS : \\\");\\n\\t\\tfor (Page currP : result)\\n\\t\\t\\tSystem.out.printf(currP.getLocation() + \\\": \\\" + \\\"%.5f\\\" + '\\\\n', currP.hub);\\n\\t\\tSystem.out.println();\\n\\t\\t// Print Max Authority\\n\\t\\tSystem.out.println(\\\"Page with highest Authority score: \\\" + getMaxAuthority(result).getLocation());\\n\\t\\t// Print Max Authority\\n\\t\\tSystem.out.println(\\\"Page with highest Hub score: \\\" + getMaxAuthority(result).getLocation());\\n\\t}\",\n \"private double scorePonderated(int i, int total) {\\r\\n\\t\\tif (total == 1) {\\r\\n\\t\\t\\treturn 100.0;\\r\\n\\t\\t}\\r\\n\\t\\tdouble score = 100.0 / (2.0 * (i + 1));\\r\\n\\t\\treturn score;\\r\\n\\t}\",\n \"public static void sumTotalScore() {\\n totalScore += addRandomScore();;\\n }\",\n \"public static void incrementScore() {\\n\\t\\tscore++;\\n\\t}\",\n \"public void process()\\n {\\n for (int i = 0; i <= names.length-1; i++)\\n {\\n int x = 0;\\n System.out.println(\\\"\\\");\\n System.out.print(names[i] + \\\" had test scores of \\\");\\n for (int j = 0; j <= scores[0].length-1; j++)\\n {\\n System.out.print(scores[i][j] + \\\", \\\");\\n \\n x += scores[i][j];\\n \\n }\\n System.out.print(\\\" Test average is \\\" + x/4 + \\\".\\\");\\n }\\n System.out.println(\\\"\\\");\\n findL();\\n findH();\\n findAvg();\\n }\",\n \"public void printInfo() {\\n System.out.println(\\\"\\\\n\\\\n---------------------BASIC RESULTS-----------------------\\\\n\\\");\\n System.out.println(\\\"Most positive article: \\\" + mostPositiveDoc + \\\"\\\\nwith positivity \\\" + mostPositive + \\\"\\\\n\\\");\\n System.out.println(\\\"Most negative article: \\\" + mostNegativeDoc + \\\"\\\\nwith negativity \\\" + mostNegative + \\\"\\\\n\\\");\\n if (biggestDifference >= 0) {\\n System.out.println(\\\"Biggest difference: \\\" + biggestDifferenceDoc + \\\"\\\\nwith more positivity by \\\" + biggestDifference);\\n } else {\\n System.out.println(\\\"Biggest difference: \\\" + biggestDifferenceDoc + \\\"\\\\nwith more negativity by \\\" + Math.abs(biggestDifference));\\n }\\n \\n System.out.println(\\\"\\\\nAverage positivity: \\\" + avgPositive);\\n System.out.println(\\\"Average negativity: \\\" + avgNegative);\\n System.out.println(\\\"\\\\n-----------------------------------------------------------\\\\n\\\");\\n System.out.println(\\\"\\\\n---------------------ADVANCED RESULTS----------------------\\\");\\n \\n System.out.println(\\\"\\\\nAverage positivity for PUBLISHERS:\\\");\\n for (String s : publisherOptimism.keySet()) {\\n LinkedList<Double> positives = publisherOptimism.get(s);\\n int size = positives.size();\\n double total = 0;\\n for (double d : positives) {\\n total += d;\\n }\\n System.out.println(s + \\\", positivity = \\\" + total / size);\\n }\\n \\n System.out.println(\\\"\\\\nAverage negativity for PUBLISHERS:\\\");\\n for (String s : publisherPessimism.keySet()) {\\n LinkedList<Double> negatives = publisherPessimism.get(s);\\n int size = negatives.size();\\n double total = 0;\\n for (double d : negatives) {\\n total += d;\\n }\\n System.out.println(s + \\\", negativity = \\\" + total / size);\\n }\\n \\n System.out.println(\\\"\\\\nAverage positivity for REGIONS:\\\");\\n for (String s : regionOptimism.keySet()) {\\n LinkedList<Double> positives = regionOptimism.get(s);\\n int size = positives.size();\\n double total = 0;\\n for (double d : positives) {\\n total += d;\\n }\\n System.out.println(s + \\\", positivity = \\\" + total / size);\\n }\\n \\n System.out.println(\\\"\\\\nAverage negativity for REGIONS:\\\");\\n for (String s : regionPessimism.keySet()) {\\n LinkedList<Double> negatives = regionPessimism.get(s);\\n int size = negatives.size();\\n double total = 0;\\n for (double d : negatives) {\\n total += d;\\n }\\n System.out.println(s + \\\", negativity = \\\" + total / size);\\n }\\n \\n System.out.println(\\\"\\\\nAverage positivity for DATES:\\\");\\n for (LocalDate s : dayOptimism.keySet()) {\\n LinkedList<Double> positives = dayOptimism.get(s);\\n int size = positives.size();\\n double total = 0;\\n for (double d : positives) {\\n total += d;\\n }\\n System.out.println(s + \\\", positivity = \\\" + total / size);\\n }\\n \\n System.out.println(\\\"\\\\nAverage negativity for DATES:\\\");\\n for (LocalDate s : dayPessimism.keySet()) {\\n LinkedList<Double> negatives = dayPessimism.get(s);\\n int size = negatives.size();\\n double total = 0;\\n for (double d : negatives) {\\n total += d;\\n }\\n System.out.println(s + \\\", negativity = \\\" + total / size);\\n }\\n \\n System.out.println(\\\"\\\\nAverage positivity for WEEKDAYS:\\\");\\n for (DayOfWeek s : weekdayOptimism.keySet()) {\\n LinkedList<Double> positives = weekdayOptimism.get(s);\\n int size = positives.size();\\n double total = 0;\\n for (double d : positives) {\\n total += d;\\n }\\n System.out.println(s + \\\", positivity = \\\" + total / size);\\n }\\n \\n System.out.println(\\\"\\\\nAverage negativity for WEEKDAYS:\\\");\\n for (DayOfWeek s : weekdayPessimism.keySet()) {\\n LinkedList<Double> negatives = weekdayPessimism.get(s);\\n int size = negatives.size();\\n double total = 0;\\n for (double d : negatives) {\\n total += d;\\n }\\n System.out.println(s + \\\", negativity = \\\" + total / size);\\n }\\n \\n System.out.println(\\\"\\\\n-----------------------------------------------------------\\\\n\\\");\\n \\n }\",\n \"@Override\\r\\n public void reduce(Text page, Iterable<Text> values, Context context) throws IOException, InterruptedException {}\",\n \"public void give_score(int n){\\n final_score=0.25*(n-m.get_m()+1)+0.2*(n-h.get_h()+1)+0.25*(n-l.get_l()+1)+0.3*(n-a.get_a()+1);\\r\\n }\",\n \"private Map<Double, List<String>> getScoreMap() {\\n\\t\\t//dfMap = new HashMap<String, Integer>();\\n\\t\\t\\n\\t\\tfor (Map.Entry<String, FreqAndLists> entry: map.entrySet()) {\\n\\t\\t\\tString term = entry.getKey();\\n\\t\\t\\tif (originalTerms.contains(term)) { // expanded terms should not contain original terms\\n\\t\\t\\t\\tcontinue;\\n\\t\\t\\t}\\n\\t\\t\\tdouble totalScore = 0;\\n\\t\\t\\tList<PositionList> postingList = entry.getValue().getPostingList();\\n\\t\\t\\tfor (PositionList positionList : postingList) {\\n\\t\\t\\t\\tlong dr = positionList.getDocID();\\n\\t\\t\\t\\tint rawDf = GetRawDf.getRawDf(qryId, term);\\n\\t\\t\\t\\t//dfMap.put(term, rawDf);\\n\\t\\t\\t\\ttotalScore += sf.getScore(term, dr, rawDf);\\n\\t\\t\\t}\\n\\t\\t\\t//System.out.println(term + \\\" \\\" + totalScore);\\n\\t\\t\\tif (scoreMap.containsKey(totalScore)) {\\n\\t\\t\\t\\tscoreMap.get(totalScore).add(term);\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tList<String> list = new ArrayList<>();\\n\\t\\t\\t\\tlist.add(term);\\n\\t\\t\\t\\tscoreMap.put(totalScore, list);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t/*for (Map.Entry<Double, List<String>> entry : scoreMap.entrySet()) {\\n\\t\\t\\tSystem.out.println(\\\"000 \\\" + entry.getKey());\\n\\t\\t\\tList<String> list = entry.getValue();\\n\\t\\t\\tfor (String term : list) {\\n\\t\\t\\t\\tSystem.out.println(\\\" \\\" + term);\\n\\t\\t\\t}\\n\\t\\t}*/\\n\\t\\t\\n\\t\\t//writeToFile();\\n\\t\\treturn scoreMap;\\n\\t}\",\n \"public void setHomeScore(int h);\",\n \"public static int PagesFitler(String text) {\\n\\t\\tString name = text.replaceAll(\\\"[^0-9]+\\\",\\\"\\\");\\n\\t\\tSystem.out.println(\\\" -->\\\" +name);\\n\\t\\tint n = (int)Math.round(Double.parseDouble(name)/20.00);\\n\\t\\treturn n;\\n\\t}\",\n \"public void score(){\\n\\t\\tscores=new float[3];\\n\\t\\ttop3=new String[3];\\n\\t\\tfor(int i=0;i<3;i++){\\n\\t\\t\\ttop3[i]=new String();\\n\\t\\t\\tscores[i]=(float)0;\\n\\t\\t}\\n\\t\\t//System.out.println(doclist.size());\\n\\t\\tfor(int i=0;i<doclist.size();i++){\\n\\t\\t\\ttry{\\n\\t\\t\\t\\tDocProcessor dp=new DocProcessor(doclist.get(i));\\n\\t\\t\\t\\tdp.tokenizing();\\n\\t\\t\\t\\tdp.stem();\\n\\t\\t\\t\\t//System.out.println(dp.getContent());\\n\\t\\t\\t\\t/*for(int j=2;j>=0;j--){\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"top\\\"+(3-j)+\\\": \\\"+scores[j]);\\n\\t\\t\\t\\t\\tSystem.out.println(top3[j]);\\n\\t\\t\\t\\t}*/\\n\\t\\t\\t\\tfloat score=dp.score(this.keywords);\\n\\t\\t\\t\\tfor(int j=2;j>=0;j--){\\n\\t\\t\\t\\t\\tif(score>scores[j]){\\n\\t\\t\\t\\t\\t\\tfor(int k=0;k<j;k++){\\n\\t\\t\\t\\t\\t\\t\\tscores[k]=scores[k+1];\\n\\t\\t\\t\\t\\t\\t\\ttop3[k]=top3[k+1];\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tscores[j]=score;\\n\\t\\t\\t\\t\\t\\ttop3[j]=dp.getContent();\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t/*for(int j=2;j>=0;j--){\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"top\\\"+(3-j)+\\\": \\\"+scores[j]);\\n\\t\\t\\t\\t\\tSystem.out.println(top3[j]);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tSystem.out.println(\\\"*******************************\\\");*/\\n\\t\\t\\t}catch(NullPointerException f){\\n\\t\\t\\t\\tcontinue;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public static void grade(int size)\\n {\\n int score = 0;\\n for(int i = 0; i<size;i++)\\n {\\n if(answer[i] == nb1[i] + nb2[i])\\n {\\n score+=10;\\n }\\n }\\n System.out.println(\\\"Votre score est \\\" + score+\\\"/100\\\");\\n }\",\n \"public void scores(HashMap<String, Integer> scoreboard) {\\r\\n\\t\\tclear_screen();\\r\\n\\t\\t// Le tableau de scores arrive déjà trié.\\r\\n\\t\\tJLabel sc = new JLabel(\\\"Partie Terminé. Tableau des scores : \\\");\\r\\n\\t\\tsc.setBounds(0, 0, 1280, 40);\\r\\n\\t\\tsc.setFont(new Font(sc.getFont().getName(), Font.BOLD, 30));\\r\\n\\t\\tthis.add(sc);\\r\\n\\r\\n\\t\\tint begin = 60;\\r\\n\\r\\n\\t\\tfor (Map.Entry<String, Integer> elt : scoreboard.entrySet()) {\\r\\n\\t\\t\\tJLabel u_score = new JLabel(elt.getKey()+\\\" : \\\"+elt.getValue()+\\\" points\\\", SwingConstants.CENTER);\\r\\n\\t\\t\\tu_score.setFont(new Font(sc.getFont().getName(), Font.PLAIN, 20));\\r\\n\\t\\t\\tu_score.setBounds(0, begin, 1280, 30);\\r\\n\\t\\t\\tthis.add(u_score);\\r\\n\\t\\t\\tbegin+=40;\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tclose = new JButton(\\\"Fermer\\\");\\r\\n\\t\\tclose.setBounds(5, 640,150,40);\\r\\n\\t\\tthis.add(close);\\r\\n\\t\\tclose.addActionListener(this);\\r\\n\\t}\",\n \"private void lineScore(int nbLine) {\\n switch (nbLine) {\\n case 1:\\n score += level * 100;\\n break;\\n case 2:\\n score += level * 300;\\n break;\\n case 3:\\n score += level * 500;\\n break;\\n case 4:\\n score += level * 800;\\n break;\\n }\\n }\",\n \"private double getScore() {\\n double score = 0;\\n score += getRBAnswers(R.id.radiogroup1, R.id.radiobutton_answer12);\\n score += getRBAnswers(R.id.radiogroup2, R.id.radiobutton_answer21);\\n score += getRBAnswers(R.id.radiogroup3, R.id.radiobutton_answer33);\\n score += getRBAnswers(R.id.radiogroup4, R.id.radiobutton_answer41);\\n score += getCBAnswers();\\n score += getTextAns();\\n score = Math.round(score / .0006);\\n score = score / 100;\\n return score;\\n }\",\n \"private Integer calculateScoreNumber(double score)\\r\\n\\t{\\r\\n\\t\\t//Formula for scoreNumber => {intValue / 0.25} + {number associated \\r\\n\\t\\t//with fractionalValue based on which range it belongs to}\\r\\n\\t\\tint scoreNumber = (int)(score / 0.25);\\r\\n\\t\\tdouble fractionValue = score % 0.25;\\r\\n\\r\\n\\t\\tif(fractionValue > 0.12)\\r\\n\\t\\t\\tscoreNumber++;\\r\\n\\r\\n\\t\\treturn scoreNumber;\\r\\n\\t}\",\n \"public void setScores(BigDecimal scores) {\\n this.scores = scores;\\n }\",\n \"public void summarizeSpaceEfficient() {\\n int maxLevel = Collections.max(CALattice.levelMap.keySet());\\n for (int i = maxLevel; i >= 0; i--) {\\n summarizeSpaceEfficientHelper(CALattice.levelMap.get(i));\\n //freeing memory\\n if (i < maxLevel)\\n freeMemory(CALattice.levelMap.get(i + 1));\\n }\\n }\",\n \"private void setPageSettings() {\\n\\n List<Element> paragraphs = br.ufrgs.artic.utils.FileUtils.getElementsByTagName(\\\"para\\\", omniPageXMLDocument.getDocumentElement());\\n\\n int lineCounter = 0;\\n int fontSizeSum = 0;\\n if (paragraphs != null && !paragraphs.isEmpty()) {\\n\\n int biggestTop = 0;\\n int biggestLeft = 0;\\n for (Element paragraphElement : paragraphs) {\\n\\n List<Element> linesOfParagraph = br.ufrgs.artic.utils.FileUtils.getElementsByTagName(\\\"ln\\\", paragraphElement);\\n\\n if (linesOfParagraph != null && !linesOfParagraph.isEmpty()) {\\n for (Element lineElement : linesOfParagraph) {\\n String fontFace = lineElement.getAttribute(\\\"fontFace\\\");\\n\\n if (fontFace == null || fontFace.isEmpty()) { //if yes, start run merge process\\n augmentLineElement(lineElement);\\n }\\n\\n if (lineElement.getAttribute(\\\"t\\\") != null && !lineElement.getAttribute(\\\"t\\\").isEmpty() &&\\n lineElement.getAttribute(\\\"l\\\") != null && !lineElement.getAttribute(\\\"l\\\").isEmpty()) {\\n int top = Integer.parseInt(lineElement.getAttribute(\\\"t\\\").replaceAll(\\\",\\\", \\\"\\\\\\\\.\\\"));\\n\\n if (top > biggestTop) {\\n biggestTop = top;\\n }\\n\\n int left = Integer.parseInt(lineElement.getAttribute(\\\"l\\\").replaceAll(\\\",\\\", \\\"\\\\\\\\.\\\"));\\n\\n if (left > biggestLeft) {\\n biggestLeft = left;\\n }\\n }\\n\\n double fontSize = 0;\\n if (lineElement.getAttribute(\\\"fontSize\\\") != null && !lineElement.getAttribute(\\\"fontSize\\\").isEmpty()) {\\n fontSize = Double.valueOf(lineElement.getAttribute(\\\"fontSize\\\").replaceAll(\\\",\\\", \\\"\\\\\\\\.\\\"));\\n }\\n\\n\\n fontSizeSum += fontSize;\\n lineCounter++;\\n }\\n }\\n }\\n\\n averagePageFontSize = (double) fontSizeSum / lineCounter;\\n\\n topBucketSize = (biggestTop / 8) + 1;\\n leftBucketSize = (biggestLeft / 8) + 1;\\n } else {\\n averagePageFontSize = null;\\n }\\n\\n\\n }\",\n \"public void assignPageRanks(double epsilon) {\\r\\n\\t\\t// TODO : Add code here\\r\\n\\t\\tArrayList<String> vertices=internet.getVertices();\\r\\n\\t\\tList<Double> currentRank=Arrays.asList(new Double[vertices.size()]);\\r\\n\\t\\tCollections.fill(currentRank,1.0);\\r\\n\\r\\n\\t\\tdo{\\r\\n\\t\\t\\tfor(int i=0;i<vertices.size();i++){\\r\\n\\t\\t\\t\\tinternet.setPageRank(vertices.get(i),currentRank.get(i));\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tcurrentRank=computeRanks(vertices);\\r\\n\\t\\t}while (!stopRank(epsilon,currentRank,vertices));\\r\\n\\r\\n\\t}\",\n \"public void scoresForGameModes() {\\r\\n \\tCalculateScore myScore = new CalculateScore();\\r\\n \\tthis.score = myScore.giveScore();\\r\\n \\tif (gamemode == 1) {\\r\\n \\t\\treturn;\\r\\n \\t}\\r\\n \\tif (gamemode ==2 ) {\\r\\n \\t\\tthis.score = this.score - (10 * (currentGraph.getCNumber() - set.size()));\\r\\n \\t}\\r\\n \\tif (gamemode ==3) {\\r\\n \\t\\tthis.score = this.score - (10 * (currentGraph.getCNumber() -set.size()));\\r\\n \\t}\\r\\n }\",\n \"public static void pageRankmain() {\\n\\t\\t\\t\\n\\t\\t\\tstopWordStore();\\n\\t\\t\\t//File[] file_read= dir.listFiles();\\n\\t\\t\\t//textProcessor(file_read);// Will be called from LinkCrawler\\n\\t\\t\\t//queryProcess();\\n\\t\\t\\t//System.out.println(\\\"docsave \\\"+ docsave);\\n\\t\\t\\t/*for ( Map.Entry<String, ArrayList<String>> entry : docsave.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t List<String> values = entry.getValue();\\n\\t\\t\\t System.out.print(\\\"Key = \\\" + key);\\n\\t\\t\\t System.out.println(\\\" , Values = \\\"+ values);\\n\\t\\t\\t}*/\\n\\t\\t\\t//########## RESPOINSIBLE FOR CREATING INVERTED INDEX OF TERMS ##########\\n\\t\\t\\tfor(int i=0;i<vocabulary.size();i++) {\\n\\t\\t\\t\\tint count=1;\\n\\t\\t\\t\\tMap<String, Integer> nestMap = new HashMap<String, Integer>();\\n\\t\\t\\t\\tfor ( Map.Entry<String, ArrayList<String>> entry : docsave.entrySet()) {\\n\\t\\t\\t\\t String keyMain = entry.getKey();\\n\\t\\t\\t\\t List<String> values = entry.getValue();\\n\\t\\t\\t\\t if(values.contains(vocabulary.get(i)))\\n\\t\\t\\t\\t \\t{\\n\\t\\t\\t\\t \\tentryDf.put(vocabulary.get(i), count);//entryDf stores documents frequency of vocabulary word \\\\\\\\it increase the count value for specific key\\n\\t\\t\\t\\t \\tcount++;\\n\\t\\t\\t\\t \\t}\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t nestMap.put(keyMain, Collections.frequency(values,vocabulary.get(i)));\\n\\t\\t\\t \\t\\n\\t\\t\\t \\t//System.out.println(\\\"VOC \\\"+ vocabulary.get(i)+ \\\" KeyMain \\\" +keyMain+ \\\" \\\"+ Collections.frequency(values,vocabulary.get(i)));\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\ttfList.put(vocabulary.get(i), nestMap);\\n\\t\\t\\t}\\n\\t\\t\\t//########## RESPOINSIBLE FOR CREATING A MAP \\\"storeIdf\\\" TO STORE IDF VALUES OF TERMS ##########\\n\\t\\t\\tfor ( Map.Entry<String, Integer> endf : entryDf.entrySet()) {\\n\\t\\t\\t\\tString keydf = endf.getKey();\\n\\t\\t\\t\\tint valdf = endf.getValue();\\n\\t\\t\\t\\t//System.out.print(\\\"Key = \\\" + \\\"'\\\"+keydf+ \\\"'\\\");\\n\\t\\t\\t //System.out.print(\\\" , Values = \\\"+ valdf);\\n\\t\\t\\t double Hudai = (double) (docsave.size())/valdf;\\n\\t\\t\\t //System.out.println(\\\"docsave size \\\"+docsave.size()+ \\\" valdf \\\"+ valdf + \\\" Hudai \\\"+ Hudai+ \\\" log Value1 \\\"+ Math.log(Hudai)+ \\\" log Value2 \\\"+ Math.log(2));\\n\\t\\t\\t double idf= Math.log(Hudai)/Math.log(2);\\n\\t\\t\\t storeIdf.put(keydf, idf);\\n\\t\\t\\t //System.out.print(\\\" idf-> \\\"+ idf);\\n\\t\\t\\t //System.out.println();\\n\\t\\t\\t} \\n\\t\\t\\t\\n\\t\\t\\t//############ Just for Printing ##########NO WORK HERE########\\n\\t\\t\\tfor (Map.Entry<String, Map<String, Integer>> tokTf : tfList.entrySet()) {\\n\\t\\t\\t\\tString keyTf = tokTf.getKey();\\n\\t\\t\\t\\tMap<String, Integer> valTF = tokTf.getValue();\\n\\t\\t\\t\\tSystem.out.println(\\\"Inverted Indexing by Key Word = \\\" + \\\"'\\\"+keyTf+ \\\"'\\\");\\n\\t\\t\\t\\tfor (Map.Entry<String, Integer> nesTf : valTF.entrySet()) {\\n\\t\\t\\t\\t\\tString keyTF = nesTf.getKey();\\n\\t\\t\\t\\t\\tInteger valTf = nesTf.getValue();\\n\\t\\t\\t\\t\\tSystem.out.print(\\\" Document Consists This Key Word = \\\" + \\\"'\\\"+ keyTF+ \\\"'\\\");\\n\\t\\t\\t\\t\\tSystem.out.println(\\\" , Term Frequencies in This Doc = \\\"+ valTf);\\n\\t\\t\\t\\t} \\n\\t\\t\\t}\\n\\t\\t\\t//########### FOR CALCULATING DOCUMENT LENTH #############//\\n\\t\\t\\tfor ( Map.Entry<String, ArrayList<String>> entry_new : docsave.entrySet()) // Iterating Number of Documents\\n\\t\\t\\t{\\n\\t\\t\\t\\tString keyMain_new = entry_new.getKey();\\n\\t\\t\\t\\t//int countStop=0;\\n\\t\\t\\t\\tdouble sum=0;\\n\\t\\t\\t\\t for(Map.Entry<String, Map<String, Integer>> tokTf_new : tfList.entrySet()) // Iterating through the vocabulary\\n\\t\\t\\t\\t { \\n\\t\\t\\t\\t\\t Map<String, Integer> valTF_new = tokTf_new.getValue();\\n\\t\\t\\t\\t\\t for (Map.Entry<String, Integer> nesTf_new : valTF_new.entrySet()) // Iterating Through the Documents\\n\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t if(keyMain_new.equals(nesTf_new.getKey())) // Only doc name EQUAL with docsave name can enter here\\n\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t double val = nesTf_new.getValue()* (Double) storeIdf.get(tokTf_new.getKey());\\n\\t\\t\\t\\t\\t\\t\\t sum = sum+ Math.pow(val, 2);\\n\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t //countStop++;\\n\\t\\t\\t\\t }\\n\\t\\t\\t\\t docLength.put(keyMain_new, Math.sqrt(sum));\\n\\t\\t\\t\\t sum=0;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println(\\\"Document Length \\\"+ docLength);\\n\\t\\t\\t//System.out.println(\\\"tfList \\\"+tfList);\\n\\t\\t\\t\\n\\t\\t\\t //########### FOR CALCULATING QUERY LENTH #############///\\n\\t\\t\\t\\tdouble qrySum=0;\\n\\t\\t\\t\\t for(String qryTerm: queryList) // Iterating through the vocabulary\\n\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t//entryQf.put(qryTerm, Collections.frequency(queryList,qryTerm));// VUl ase\\n\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t\\t if(storeIdf.get(qryTerm) != null) \\n\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t entryQf.put(qryTerm, Collections.frequency(queryList,qryTerm));\\n\\t\\t\\t\\t\\t\\t\\t double val = entryQf.get(qryTerm)* (Double) storeIdf.get(qryTerm);\\n\\t\\t\\t\\t\\t\\t\\t qrySum = qrySum+ Math.pow(val, 2);\\n\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t System.out.println(qryTerm+\\\" \\\"+entryQf.get(qryTerm)+ \\\" \\\"+ (Double) storeIdf.get(qryTerm));\\n\\t\\t\\t\\t }\\n\\t\\t\\t\\t qrySum=Math.sqrt(qrySum);\\n\\t\\t\\t\\t System.out.println(\\\"qrySum \\\" + qrySum);\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t//########### FOR CALCULATING COSINE SIMILARITY #############///\\n\\t\\t\\t\\t for ( Map.Entry<String, ArrayList<String>> entry_dotP : docsave.entrySet()) // Iterating Number of Documents\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\tdouble sumProduct=0;\\n\\t\\t\\t\\t\\t\\tdouble productTfIdf=0;\\n\\t\\t\\t\\t\\t\\tString keyMain_new = entry_dotP.getKey(); //Geting Doc Name\\n\\t\\t\\t\\t\\t\\t for(Map.Entry<String, Integer> qryTermItr : entryQf.entrySet()) // Iterating through the vocabulary\\n\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t\\t\\t Map<String, Integer> matchTerm = tfList.get(qryTermItr.getKey()); // Getting a map of doc Names by a Query Term as value of tfList\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t if(matchTerm.containsKey(keyMain_new)) // Only doc name EQUAL with docsave name can enter here\\n\\t\\t\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t //System.out.println(\\\"Test \\\"+ matchTerm.get(keyMain_new) +\\\" keyMain_new \\\" + keyMain_new);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t double docTfIdf= matchTerm.get(keyMain_new) * storeIdf.get(qryTermItr.getKey());\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t double qryTfIdf= qryTermItr.getValue() * storeIdf.get(qryTermItr.getKey());\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t productTfIdf = docTfIdf * qryTfIdf;\\n\\t\\t\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t\\t\\t sumProduct= sumProduct+productTfIdf;\\n\\t\\t\\t\\t\\t\\t\\t //System.out.println(\\\"productTfIdf \\\"+productTfIdf+\\\" sumProduct \\\"+ sumProduct);\\n\\t\\t\\t\\t\\t\\t\\t productTfIdf=0;\\n\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t\\t cosineProd.put(entry_dotP.getKey(), sumProduct/(docLength.get(entry_dotP.getKey())*qrySum));\\n\\t\\t\\t\\t\\t\\t sumProduct=0;\\n\\t\\t\\t\\t\\t\\t //System.out.println(entry_dotP.getKey()+ \\\" \\\" + docLength.get(entry_dotP.getKey()));\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t System.out.println(\\\"cosineProd \\\"+ cosineProd);\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t System.out.println(\\\"Number of Top Pages you want to see\\\");\\n\\t\\t\\t\\t int topRank = Integer.parseInt(scan.nextLine());\\n\\t\\t\\t\\t Map<String, Double> result = cosineProd.entrySet().stream()\\n\\t\\t\\t .sorted(Map.Entry.comparingByValue(Comparator.reverseOrder())).limit(topRank)\\n\\t\\t\\t .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,\\n\\t\\t\\t (oldValue, newValue) -> oldValue, LinkedHashMap::new));\\n\\n\\t\\t\\t\\t scan.close();\\n\\t\\t\\t //Alternative way\\n\\t\\t\\t //Map<String, Double> result2 = new LinkedHashMap<>();\\n\\t\\t\\t //cosineProd.entrySet().stream().sorted(Map.Entry.<String, Double>comparingByValue().reversed()).limit(2).forEachOrdered(x -> result2.put(x.getKey(), x.getValue()));\\n\\n\\t\\t\\t System.out.println(\\\"Sorted...\\\");\\n\\t\\t\\t System.out.println(result);\\n\\t\\t\\t //System.out.println(result2);\\n\\t}\",\n \"void calculateScore(){\\r\\n playerScore = 0;\\r\\n for(int i = 1; i<=10; i++) {\\r\\n scoreQuestion(i);\\r\\n }\\r\\n }\",\n \"static private void calculateMissionScore() {\\n\\n HashMap<String, Boolean> missionStatus = allMissions.missionStatus;\\n\\n for (String i : missionStatus.keySet()) {\\n\\n if (missionStatus.get(i) == true) {\\n score.addToPoints(250);\\n }\\n }\\n }\",\n \"@Override\\n public int calculateScore(Object boardManager) {\\n int stepScore = calStepScore((SlidingBoardManager) boardManager);\\n int timeScore = calTimeScore((SlidingBoardManager) boardManager);\\n\\n if (stepScore < 0) {\\n stepScore = 0;\\n }\\n if (timeScore < 0) {\\n timeScore = 0;\\n }\\n\\n return (stepScore + timeScore) / 2;\\n }\",\n \"private int scoreCalc(HousingLocation h) {\\n\\t\\tint score = 0;\\n\\t\\tscore += managementScore*h.managementScore;\\n\\t\\tscore += amenitiesScore*h.amenitiesScore;\\n\\t\\tscore += locationScore*h.locationScore;\\n\\t\\tscore += communityChillFactorScore*h.communityChillFactorScore;\\n\\t\\t\\n\\t\\treturn score;\\n\\t\\t\\n\\t}\",\n \"public static void postScores() {\\r\\n\\t\\t//Copies the scores for four handed team based play.\\r\\n\\t\\tif (Main.isFourHandedTeams) {\\r\\n\\t\\t\\tMain.team1Score = Main.teamOne.score;\\r\\n\\t\\t\\tMain.team2Score = Main.teamTwo.score;\\r\\n\\t\\t//Copies the scores for non four handed team based play.\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tMain.player1Score = Main.playerOne.score;\\r\\n\\t\\t\\tMain.player2Score = Main.playerTwo.score;\\r\\n\\t\\t\\tMain.player3Score = Main.playerThree.score;\\r\\n\\r\\n\\t\\t\\t//Copies the scores for four handed single player game.\\r\\n\\t\\t\\tif (!Main.isThreeHanded) {\\r\\n\\t\\t\\t\\tMain.player4Score = Main.playerFour.score;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"public static void main(String[] args) throws IOException \\n\\t{\\n\\t\\tScanner sc = new Scanner(System.in);\\n\\t\\tSystem.out.print(\\\"Please input the keyword: \\\");\\n\\t\\tString keyword = sc.next();\\n\\t\\tsc.close();\\n\\t\\n\\t\\tKeywordList kLst = new KeywordList();\\t\\n\\t\\tSystem.out.println(\\\"-------------------------------------------------------\\\\nRelative Word List: \\\");\\n\\t\\tkLst.printKeywordList(kLst.getKeywords());\\n\\t\\tSystem.out.print(\\\"-------------------------------------------------------\\\\nValid Web Pages for Keyword [\\\" + keyword + \\\"]: \\\\n\\\");\\n\\t\\tGoogleSearch google = new GoogleSearch(keyword);\\n\\t\\tSystem.out.print(google.toString());\\n\\t\\t\\n\\t\\tArrayList<WebNode> wLst = new ArrayList<WebNode>();\\t\\n\\t\\t\\n\\t\\ttry \\n\\t\\t{\\t\\t\\n\\t\\t\\tfor(String title: google.query().keySet()) \\n\\t\\t\\t{\\n\\t\\t\\t\\tString webUrl = google.query().get(title);\\t\\n\\t\\t\\t\\tWebPage rootPage = new WebPage(webUrl, title);\\n\\t\\t\\t\\tWebTree tree = new WebTree(rootPage);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\tChildPageQuery childQ = new ChildPageQuery(webUrl);\\n\\t\\t\\t\\tint count = 0;\\n\\t\\t\\t\\tif(childQ.query() != null) \\n\\t\\t\\t\\t{\\t\\t\\t\\n\\t\\t\\t\\t\\tfor(String childUrl: childQ.query()) \\n\\t\\t\\t\\t\\t{\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tcount++;\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\ttree.root.addChild(new WebNode(new WebPage(childUrl, count + \\\"\\\")));\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\ttree.setPostOrderScore(kLst.getKeywords());\\n\\t\\t\\t\\t\\twLst.add(tree.root);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\t\\n\\t\\t\\t\\n\\t\\t\\tWebRating rating = new WebRating(wLst);\\n\\t\\t\\trating.sort();\\n\\t\\t\\tSystem.out.println(\\\"-------------------------------------------------------\\\\n★★★Rating★★★\\\\n(Title, Total Child Pages, Total Root Page Score)\\\");\\n\\t\\t\\tSystem.out.print(rating.output());\\n\\t\\t} \\n\\n\\t\\tcatch(IOException e)\\n\\t\\t{\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"public final void div() {\\n\\t\\tif (size > 1) {\\n\\n\\t\\t\\tdouble topMostValue = pop();\\n\\t\\t\\tdouble secondTopMostValue = pop();\\n\\t\\t\\tif (topMostValue > 0) {\\n\\t\\t\\t\\tpush(secondTopMostValue / topMostValue);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"void increaseScore(){\\n\\t\\t currentScore = currentScore + 10;\\n\\t\\t com.triviagame.Trivia_Game.finalScore = currentScore;\\n\\t }\",\n \"public int[][] reportByScore(int array[][], int[] array1) {\\n\\n\\t\\tint b = array.length - 1;\\n\\t\\tint a = maxScore / b;\\n\\t\\tfor (int i = 0; i < array1.length; i++) {\\n\\t\\t\\tif (array1[i] != 0) {\\n\\t\\t\\t\\tarray[(b - (array1[i] - 1) / a - 1)][availableSpace(array, (b - (array1[i] - 1) / a - 1))] = array1[i];\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tarray[b][availableSpace(array, b)] = array1[i];\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\n\\t\\treturn array;\\n\\t}\",\n \"private void addPartList ()\\r\\n {\\r\\n // Map (page) ScorePart -> (score) ScorePart data\\r\\n List<ScorePart> partList = new ArrayList<>();\\r\\n\\r\\n for (Result result : connection.getResultMap().keySet()) {\\r\\n ScorePart scorePart = (ScorePart) result.getUnderlyingObject();\\r\\n partList.add(scorePart);\\r\\n }\\r\\n\\r\\n // Need map: pagePart instance -> set of related systemPart instances\\r\\n // (Since we only have the reverse link)\\r\\n Map<ScorePart, List<SystemPart>> page2syst = new LinkedHashMap<>();\\r\\n\\r\\n for (TreeNode pn : score.getPages()) {\\r\\n Page page = (Page) pn;\\r\\n\\r\\n for (TreeNode sn : page.getSystems()) {\\r\\n ScoreSystem system = (ScoreSystem) sn;\\r\\n\\r\\n for (TreeNode n : system.getParts()) {\\r\\n SystemPart systPart = (SystemPart) n;\\r\\n\\r\\n ScorePart pagePart = systPart.getScorePart();\\r\\n List<SystemPart> cousins = page2syst.get(pagePart);\\r\\n\\r\\n if (cousins == null) {\\r\\n cousins = new ArrayList<>();\\r\\n page2syst.put(pagePart, cousins);\\r\\n }\\r\\n\\r\\n cousins.add(systPart);\\r\\n }\\r\\n }\\r\\n }\\r\\n\\r\\n // Align each candidate to its related result (System -> Page -> Score)\\r\\n for (Result result : connection.getResultMap().keySet()) {\\r\\n ScorePart scorePart = (ScorePart) result.getUnderlyingObject();\\r\\n int newId = scorePart.getId();\\r\\n\\r\\n for (Candidate candidate : connection.getResultMap().get(result)) {\\r\\n ScorePart pagePart = (ScorePart) candidate.getUnderlyingObject();\\r\\n // Update (page) part id\\r\\n pagePart.setId(newId);\\r\\n\\r\\n // Update all related (system) part id\\r\\n for (SystemPart systPart : page2syst.get(pagePart)) {\\r\\n systPart.setId(newId);\\r\\n }\\r\\n }\\r\\n }\\r\\n\\r\\n score.setPartList(partList);\\r\\n }\",\n \"private static double bucketForScore(double score, double bucketSize) {\\r\\n\\t\\tint bucket = (int) (score / bucketSize);\\r\\n\\t\\tif (bucket == 0) {\\r\\n\\t\\t\\tbucket = 1;\\r\\n\\t\\t} else if (score % bucketSize > 0) {\\r\\n\\t\\t\\tbucket++;\\r\\n\\t\\t}\\r\\n\\t\\treturn bucket;\\r\\n\\t}\",\n \"@Override\\n\\tpublic double getTotalScore() {\\n\\t\\treturn score;\\n\\t}\",\n \"private void sketchScore() {\\r\\n View.sketch(score, this.getSize().width + 15, 0);\\r\\n }\",\n \"public void aggregateResults()\\n\\t{\\n\\t\\ttry {\\n\\t\\t\\tAggregateableEvaluation aggContNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(0));\\n\\t\\t\\tAggregateableEvaluation aggContSMO = new AggregateableEvaluation(this.evalSMOList.get(0));\\n\\t\\t\\tAggregateableEvaluation aggDonaNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(15));\\n\\t\\t\\tAggregateableEvaluation aggDonaSMO = new AggregateableEvaluation(this.evalSMOList.get(15));\\n\\t\\t\\tAggregateableEvaluation aggOffiNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(30));\\n\\t\\t\\tAggregateableEvaluation aggOffiSMO = new AggregateableEvaluation(this.evalSMOList.get(30));\\n\\t\\t\\tAggregateableEvaluation aggAdviNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(45));\\n\\t\\t\\tAggregateableEvaluation aggAdviSMO = new AggregateableEvaluation(this.evalSMOList.get(45));\\n\\t\\t\\tAggregateableEvaluation aggMultNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(60));\\n\\t\\t\\tAggregateableEvaluation aggMultSMO = new AggregateableEvaluation(this.evalSMOList.get(60));\\n\\t\\t\\tAggregateableEvaluation aggGoodNaive = new AggregateableEvaluation(this.evalNaiveBayesList.get(75));\\n\\t\\t\\tAggregateableEvaluation aggGoodSMO = new AggregateableEvaluation(this.evalSMOList.get(75));\\n\\t\\t\\t\\n\\n\\t\\t\\tfor (int i = 1; i < 15; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\taggContNaive.aggregate(this.evalNaiveBayesList.get(i));\\n\\t\\t\\t\\taggContSMO.aggregate(this.evalSMOList.get(i));\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tfor (int i = 16; i < 30; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\taggDonaNaive.aggregate(this.evalNaiveBayesList.get(i));\\n\\t\\t\\t\\taggDonaSMO.aggregate(this.evalSMOList.get(i));\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\n\\t\\t\\tfor (int i = 31; i < 45; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\taggOffiNaive.aggregate(this.evalNaiveBayesList.get(i));\\n\\t\\t\\t\\taggOffiSMO.aggregate(this.evalSMOList.get(i));\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\n\\t\\t\\tfor (int i = 46; i < 60; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\taggAdviNaive.aggregate(this.evalNaiveBayesList.get(i));\\n\\t\\t\\t\\taggAdviSMO.aggregate(this.evalSMOList.get(i));\\n\\t\\t\\t}\\n\\n\\t\\t\\tfor (int i = 61; i < 75; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\taggMultNaive.aggregate(this.evalNaiveBayesList.get(i));\\n\\t\\t\\t\\taggMultSMO.aggregate(this.evalSMOList.get(i));\\n\\t\\t\\t}\\n\\n\\t\\t\\tfor (int i = 76; i < 90; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\taggGoodNaive.aggregate(this.evalNaiveBayesList.get(i));\\n\\t\\t\\t\\taggGoodSMO.aggregate(this.evalSMOList.get(i));\\n\\t\\t\\t}\\n\\n\\t\\t\\tfor (int a = 0; a < 6; a++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tString aggregateText;\\n\\t\\t\\t\\tswitch (a)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\tcase 0: aggregateText = \\\"ContinuingNewsAggregateResults.txt\\\"; break;\\n\\t\\t\\t\\tcase 1: aggregateText = \\\"DonationsAggregateResults.txt\\\"; break;\\n\\t\\t\\t\\tcase 2: aggregateText = \\\"OfficialAggregateResults.txt\\\"; break;\\n\\t\\t\\t\\tcase 3: aggregateText = \\\"AdviceAggregateResults.txt\\\"; break;\\n\\t\\t\\t\\tcase 4: aggregateText = \\\"MultimediaAggregateResults.txt\\\"; break;\\n\\t\\t\\t\\tcase 5: aggregateText = \\\"GoodsAggregateResults.txt\\\"; break;\\n\\t\\t\\t\\tdefault: aggregateText = \\\"CompleteAggregateResults.txt\\\";\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tBufferedWriter bw = new BufferedWriter(new FileWriter(aggregateText));\\n\\t\\t\\t\\tbw.write(\\\"=== Summary of Naive Bayes ===\\\");\\n\\n\\t\\t\\t\\tswitch (a)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\tcase 0:\\tbw.write(aggContNaive.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggContNaive.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggContNaive.toMatrixString()); break;\\n\\t\\t\\t\\tcase 1:\\tbw.write(aggDonaNaive.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggDonaNaive.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggDonaNaive.toMatrixString()); break;\\n\\t\\t\\t\\tcase 2:\\tbw.write(aggOffiNaive.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggOffiNaive.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggOffiNaive.toMatrixString()); break;\\n\\t\\t\\t\\tcase 3:\\tbw.write(aggAdviNaive.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggAdviNaive.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggAdviNaive.toMatrixString()); break;\\n\\t\\t\\t\\tcase 4:\\tbw.write(aggMultNaive.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggMultNaive.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggMultNaive.toMatrixString()); break;\\n\\t\\t\\t\\tdefault:\\tbw.write(aggGoodNaive.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggGoodNaive.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggGoodNaive.toMatrixString()); \\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tbw.write(\\\"=== Summary of SMO ===\\\");\\n\\n\\t\\t\\t\\tswitch (a)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\tcase 0:\\tbw.write(aggContSMO.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggContSMO.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggContSMO.toMatrixString()); break;\\n\\t\\t\\t\\tcase 1:\\tbw.write(aggDonaSMO.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggDonaSMO.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggDonaSMO.toMatrixString()); break;\\n\\t\\t\\t\\tcase 2:\\tbw.write(aggOffiSMO.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggOffiSMO.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggOffiSMO.toMatrixString()); break;\\n\\t\\t\\t\\tcase 3:\\tbw.write(aggAdviSMO.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggAdviSMO.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggAdviSMO.toMatrixString()); break;\\n\\t\\t\\t\\tcase 4:\\tbw.write(aggMultSMO.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggMultSMO.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggMultSMO.toMatrixString()); break;\\n\\t\\t\\t\\tdefault:\\tbw.write(aggGoodSMO.toSummaryString());\\n\\t\\t\\t\\tbw.write(aggGoodSMO.toClassDetailsString());\\n\\t\\t\\t\\tbw.write(aggGoodSMO.toMatrixString()); \\t\\t\\t\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tbw.close();\\n\\t\\t\\t}\\n\\n\\n\\t\\t} catch (Exception e) {\\n\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"private static String getPrecisionResultsAggregator (Index i, ArrayList<String> queries, ArrayList<ArrayList<String>> relevantFilenames,List<Double> porcentajes, Searcher ... searcher){\\n ArrayList<Searcher> searchers = new ArrayList<>();\\n for(Searcher s:searcher){\\n s.build(i);\\n searchers.add(s);\\n }\\n \\n RelevanceUtils.setIndex(i);\\n\\n ArrayList<Double> p5s = new ArrayList<>();\\n ArrayList<Double> p10s = new ArrayList<>();\\n\\n for (int j = 0; j < queries.size(); j++) {\\n ArrayList<List<ScoredTextDocument>> scores = new ArrayList<>();\\n for(Searcher s:searchers){\\n List<ScoredTextDocument> results = s.search(queries.get(j));\\n scores.add(results);\\n }\\n List<ScoredTextDocument> results = WeightedSumRankAggregator.sum(scores,porcentajes);\\n p5s.add(RelevanceUtils.calculatePrecision(results, relevantFilenames.get(j), 5));\\n p10s.add(RelevanceUtils.calculatePrecision(results, relevantFilenames.get(j), 10));\\n }\\n\\n Double averageP5 = Math.round(100.0 * RelevanceUtils.calculateAverage(p5s)) / 100.0;\\n Double averageP10 = Math.round(100.0 * RelevanceUtils.calculateAverage(p10s)) / 100.0;\\n return averageP5 + \\\"\\\\t\\\" + averageP10;\\n }\",\n \"Score getScores(int index);\",\n \"public static void main(String[] args) {\\n List<Integer> pr = new ArrayList<>();\\n out:\\n for (int p = 2; p <= 100; p++) {\\n for (int q : pr) {\\n if (p % q == 0) {\\n continue out;\\n }\\n }\\n pr.add(p);\\n }\\n Set<List<Integer>> s = new HashSet<>();\\n for (int a = 2; a <= 100; a++) {\\n List<Integer> l = new ArrayList<>();\\n for (int p : pr) {\\n int e = 0;\\n for (int c = a; c % p == 0; c /= p) {\\n e++;\\n }\\n l.add(e);\\n }\\n for (int b = 2; b <= 100; b++) {\\n List<Integer> m = new ArrayList<>();\\n for (int e : l) {\\n m.add(b * e);\\n }\\n s.add(m);\\n }\\n }\\n System.out.println(s.size());\\n }\",\n \"public void findAvg()\\n {\\n for(int i = 0; i <= scores.length-1; i++)\\n {\\n for (int j = 0; j <= scores[0].length-1; j++)\\n {\\n total += scores[i][j];\\n }\\n }\\n System.out.println(\\\"The class average test score is \\\" + \\n total/24 + \\\".\\\");\\n }\",\n \"public void addPoints(int earnedPoints) {score = score + earnedPoints;}\",\n \"public static ArrayList<ArrayList<ArrayList<Double>>> assignScoreToQueries() {\\r\\n\\t\\t\\r\\n\\t\\tArrayList<ArrayList<ArrayList<Double>>> allQueries = Queries.createQueries();\\r\\n\\t\\tArrayList<ArrayList<String>> dataset = ReadInDataset.finalDataset;\\r\\n\\t\\tint Counter = 0;\\r\\n\\t\\tDouble Score = 0.0;\\r\\n\\t\\tDecimalFormat df = new DecimalFormat(\\\"#.####\\\");\\r\\n\\t\\tdf.setRoundingMode(RoundingMode.CEILING); // round up to 4 decimal places\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t// initially assign to each query a score of 0\\r\\n\\t\\t\\r\\n\\t\\tfor (int i = 0; i < allQueries.size(); i++) {\\r\\n\\t\\t\\tArrayList<Double> zero = new ArrayList<Double>();\\r\\n\\t\\t\\tzero.add(0.0);\\r\\n\\t\\t\\tallQueries.get(i).add(zero);}\\r\\n\\t\\t\\r\\n\\t\\t// go through each query and check how many entries of the dataset it matches\\r\\n\\t\\t// with each match increase the score\\r\\n\\t\\t\\r\\n\\t\\tfor (int i = 0; i < allQueries.size(); i++) { // for each query\\r\\n\\t\\t\\tfor(int b=0; b < dataset.size(); b++) { // for each dataset\\r\\n\\t\\t\\t\\tCounter = 0; \\r\\n\\t\\t\\t\\tfor (int a=0; a < allQueries.get(i).size()-1; a++) { // for each query clause\\r\\n\\t\\t\\t\\t//check if the query criteria match the dataset and increase the Score accordingly\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t //this counter ensures that all query requirements are met in order to increase the score\\r\\n\\t\\t\\t\\t\\tif (a != allQueries.get(i).size() - 1) {\\t\\t\\t\\t\\t\\t // ensure that Score entry is not involved in Query Matching\\r\\n\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t// take min and max from query along with an entry from the dataset, convert to a double of 4 decimal places\\r\\n\\t\\t\\t\\t\\t\\tdouble minPoint1 = allQueries.get(i).get(a).get(0);\\r\\n\\t\\t\\t\\t\\t\\tString minPoint2 = df.format(minPoint1);\\r\\n\\t\\t\\t\\t\\t\\tdouble minPoint = Double.parseDouble(minPoint2);\\r\\n\\t\\t\\t\\t\\t\\tdouble maxPoint1 = allQueries.get(i).get(a).get(1);\\r\\n\\t\\t\\t\\t\\t\\tString maxPoint2 = df.format(maxPoint1);\\r\\n\\t\\t\\t\\t\\t\\tdouble maxPoint = Double.parseDouble(maxPoint2);\\r\\n\\t\\t\\t\\t\\t\\tdouble dataPoint1 = Double.parseDouble(dataset.get(b).get(a+1));\\r\\n\\t\\t\\t\\t\\t\\tString dataPoint2 = df.format(dataPoint1);\\r\\n\\t\\t\\t\\t\\t\\tdouble dataPoint = Double.parseDouble(dataPoint2);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tif ( dataPoint<= maxPoint && dataPoint >= minPoint) { Counter++; \\r\\n\\t\\t\\t\\t\\t//\\tSystem.out.println(\\\"min:\\\" + minPoint+\\\" max: \\\"+maxPoint+\\\" data: \\\"+dataPoint+ \\\" of Query: \\\" + b+ \\\"| Query Match!\\\");\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\telse {//System.out.println(minPoint+\\\" \\\"+maxPoint+\\\" \\\"+dataPoint+ \\\" of \\\" + b);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif (Counter==(Queries.getDimensions())/2) { // if counter equals the dimensions of the query then increase score\\r\\n\\t\\t\\t\\t\\tScore = allQueries.get(i).get(allQueries.get(i).size()-1).get(0);\\r\\n\\t\\t\\t\\t\\tallQueries.get(i).get(allQueries.get(i).size()-1).set(0, Score+1.00); \\r\\n\\t\\t\\t\\t\\t}}\\r\\n\\t\\t\\t\\t \\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t//\\tSystem.out.println(\\\"Score = \\\" + allQueries.get(i).get(allQueries.get(i).size()-1).get(0));\\r\\n\\t\\t}\\t\\r\\n\\t\\treturn allQueries;\\r\\n\\t}\",\n \"public double getOverallScore()\\n\\t{\\n\\t\\t return ((((((this.quiz1/QUIZ_MAX) + (this.quiz2/QUIZ_MAX) + (this.quiz3/QUIZ_MAX)) / 3) * QUIZ_WEIGHT) + ((this.midtermExam / MIDTERM_MAX) * MIDTERM_WEIGHT) + ((this.finalExam / FINAL_MAX) * FINAL_WEIGHT)) * 100);\\n\\t}\",\n \"private int calStepScore(SlidingBoardManager slidingBoardManager) {\\n int step = slidingBoardManager.getSlidingHistory().getSize() - 1;\\n\\n return Math.round(100 - step / 5);\\n }\",\n \"public void calculateScore() {\\n\\n turnScore();\\n\\n if (turn == 1) {\\n p1.setScore(p1.getScore() - turnScore);\\n\\n } else if (turn == 2) {\\n p2.setScore(p2.getScore() - turnScore);\\n\\n }\\n\\n\\n }\",\n \"void addScore(LocusScore ls) {\\n double weight = 1;\\n final float score = ls.getScore();\\n weightedSum += weight * score;\\n nPts++;\\n\\n max = score > max ? score : max;\\n }\",\n \"public void addScore(){\\n\\n // ong nuoc 1\\n if(birdS.getX() == waterPipeS.getX1() +50){\\n bl = true;\\n }\\n if (bl == true && birdS.getX() > waterPipeS.getX1() + 50){\\n score++;\\n bl = false;\\n }\\n\\n //ong nuoc 2\\n if(birdS.getX() == waterPipeS.getX2() +50){\\n bl = true;\\n }\\n if (bl == true && birdS.getX() > waterPipeS.getX2() + 50){\\n score++;\\n bl = false;\\n }\\n\\n // ong nuoc 3\\n if(birdS.getX() == waterPipeS.getX3() +50){\\n bl = true;\\n }\\n if (bl == true && birdS.getX() > waterPipeS.getX3() + 50){\\n score++;\\n bl = false;\\n }\\n\\n }\",\n \"public void calculateMetrics(){\\n //precision\\n precisionFinal = precision.stream().mapToDouble(f -> f).sum()/precision.size();\\n System.out.print(\\\"Precision: \\\");\\n System.out.println(precisionFinal);\\n //recall\\n recallFinal = recall.stream().mapToDouble(f -> f).sum()/recall.size();\\n System.out.print(\\\"Recall: \\\");\\n System.out.println(recallFinal);\\n //fMeasures\\n fMeausureFinal = fMeasures.stream().mapToDouble(f -> f).sum()/fMeasures.size();\\n System.out.print(\\\"Fmeasure: \\\");\\n System.out.println(fMeausureFinal);\\n\\n //MAP\\n mapFinal = apRes.stream().mapToDouble(d->d).sum()/apRes.size();\\n System.out.print(\\\"Mean Avarage Precision: \\\");\\n System.out.println(mapFinal);\\n \\n mapLimitedFinal = apResRankedTopLimited.stream().mapToDouble(d->d).sum()/apResRankedTopLimited.size();\\n System.out.print(\\\"Mean Precision at rank 10: \\\");\\n System.out.println(mapLimitedFinal);\\n \\n //NDCG\\n ndcgResultsFinal =0;\\n ndcgResults.stream().forEach(l-> {\\n //it is always true, only added to ensure that doesnt' break with another examples where some queries doens't have results.\\n if(l.size()>0){\\n ndcgResultsFinal= l.get(l.size()-1)+ndcgResultsFinal;\\n }\\n });\\n ndcgResultsFinal=ndcgResultsFinal/ndcgResults.size();\\n \\n System.out.print(\\\"NDCG: \\\");\\n System.out.println(ndcgResultsFinal);\\n }\",\n \"public BigDecimal getScores() {\\n return scores;\\n }\",\n \"private void doMatchesStats(int week){\\r\\n \\r\\n \\r\\n List<FantasyMatch> fMatches = fmatchBean.findByWeek(week);\\r\\n for(int i = 0; i < fMatches.size(); i++){\\r\\n FantasyMatch fm = fMatches.get(i);\\r\\n FantasyTeam team1 = fm.getTeam1();\\r\\n FantasyTeam team2 = fm.getTeam2();\\r\\n int team1Points = 0, team2Points = 0;\\r\\n \\r\\n team1Points += retrievePoints(fm.getTeam1QB(), week);\\r\\n team2Points += retrievePoints(fm.getTeam2QB(), week);\\r\\n \\r\\n team1Points += retrievePoints(fm.getTeam1RB1(), week);\\r\\n team2Points += retrievePoints(fm.getTeam2RB1(), week);\\r\\n\\r\\n team1Points += retrievePoints(fm.getTeam1RB2(), week);\\r\\n team2Points += retrievePoints(fm.getTeam2RB2(), week);\\r\\n\\r\\n team1Points += retrievePoints(fm.getTeam1WR1(), week);\\r\\n team2Points += retrievePoints(fm.getTeam2WR1(), week);\\r\\n\\r\\n team1Points += retrievePoints(fm.getTeam1WR2(), week);\\r\\n team2Points += retrievePoints(fm.getTeam2WR2(), week);\\r\\n\\r\\n team1Points += retrievePoints(fm.getTeam1WRRB(), week);\\r\\n team2Points += retrievePoints(fm.getTeam2WRRB(), week);\\r\\n\\r\\n team1Points += retrievePoints(fm.getTeam1TE(), week);\\r\\n team2Points += retrievePoints(fm.getTeam2TE(), week);\\r\\n\\r\\n team1Points += retrievePoints(fm.getTeam1K(), week);\\r\\n team2Points += retrievePoints(fm.getTeam2K(), week);\\r\\n\\r\\n team1Points += retrievePoints(fm.getTeam1DEF(), week);\\r\\n team2Points += retrievePoints(fm.getTeam2DEF(), week);\\r\\n \\r\\n fm.setTeam1Points(team1Points);\\r\\n fm.setTeam2Points(team2Points);\\r\\n \\r\\n if(team1Points > team2Points){\\r\\n team1.setWins(team1.getWins() + 1);\\r\\n team2.setLosses(team2.getLosses() + 1);\\r\\n }\\r\\n if(team1Points == team2Points){\\r\\n team1.setDraws(team1.getDraws() + 1);\\r\\n team2.setDraws(team2.getDraws() + 1);\\r\\n }\\r\\n if(team1Points < team2Points){\\r\\n team1.setLosses(team1.getLosses() + 1);\\r\\n team2.setWins(team2.getWins() + 1);\\r\\n }\\r\\n \\r\\n team1.setPointsFor(team1.getPointsFor() + team1Points);\\r\\n team1.setPointsAgainst(team1.getPointsAgainst() + team2Points);\\r\\n \\r\\n team2.setPointsFor(team2.getPointsFor() + team2Points);\\r\\n team2.setPointsAgainst(team2.getPointsAgainst() + team1Points);\\r\\n \\r\\n fmatchBean.edit(fm);\\r\\n ftBean.edit(team1);\\r\\n ftBean.edit(team2);\\r\\n }\\r\\n \\r\\n List<FantasyLeague> leagues = flBean.findAll();\\r\\n for(int i = 0; i < leagues.size(); i++){\\r\\n List<FantasyTeam> teams = ftBean.findByLeague(leagues.get(i));\\r\\n \\r\\n //DO SORTING BY WINS\\r\\n Collections.sort(teams, new TeamWinComparator());\\r\\n \\r\\n for(int j = 0; j < teams.size(); j++){\\r\\n FantasyTeam team = teams.get(j);\\r\\n team.setPreviousRank(team.getRank());\\r\\n team.setRank(j + 1); \\r\\n }\\r\\n }\\r\\n \\r\\n }\",\n \"private int calculateScore(ArrayList<HexCell> stack){\\n int score = 0;\\n for(HexCell current: stack){\\n score += current.score;\\n }\\n return score;\\n }\",\n \"public void hitAlienScore() {\\r\\n //Add 5 to the score\\r\\n score += 5;\\r\\n System.out.println(\\\"Current Score = \\\"+score);\\r\\n }\",\n \"public void updateScores() {\\n\\t\\tscoreText.setText(\\\"Score: \\\" + ultraland.getScore());\\n\\t}\",\n \"public void countScore(TechnicalTest technicalTest)\\n {\\n long maxScore=0;\\n long score=0;\\n\\n String scoreEachAnswer = \\\"\\\";\\n List<Problem> problems = technicalTest.getProblems();\\n\\n String applicantAnswer = technicalTest.getApplicantAnswer();\\n\\n List<String> answerList = helper.parseAnswer(applicantAnswer);\\n\\n for(int i=0; i<problems.size();i++){\\n long tmpScore;\\n maxScore = maxScore + problems.get(i).getMaxScore();\\n if(problems.get(i) instanceof MultipleChoices){\\n tmpScore = getScoreMultipleChoices((MultipleChoices) problems.get(i), answerList.get(i));\\n score = score + tmpScore;\\n if(i!=problems.size()-1)\\n scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore) + \\\"|\\\";\\n else scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore);\\n }\\n else if(problems.get(i) instanceof ProblemGenerator){\\n tmpScore = getScoreMultipleChoices((MultipleChoices) problems.get(i), answerList.get(i));\\n score = score + tmpScore;\\n if(i!=problems.size()-1)\\n scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore) + \\\"|\\\";\\n else scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore);\\n }\\n else{\\n tmpScore = getScoreEssay((Essay) problems.get(i), answerList.get(i));\\n score = score + tmpScore;\\n if(i!=problems.size()-1)\\n scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore) + \\\"|\\\";\\n else scoreEachAnswer = scoreEachAnswer + String.valueOf(tmpScore);\\n }\\n\\n }\\n\\n long persen = score*100/maxScore;\\n\\n technicalTest.setScore(persen);\\n technicalTest.setScoreEachAnswer(scoreEachAnswer);\\n\\n technicalTestRepository.save(technicalTest);\\n\\n }\",\n \"public float diceCustomScore(int doc, float subQueryScore, float[] valSrcScores)\\n throws IOException {\\n // this is very slow at the moment+\\n // subQueryScore is term frequency of the term\\n final LeafReader reader = this.context.reader();\\n float score = 0f;\\n float querySize = 0f;\\n final Map<Float, Float> queryLookup = new HashMap<Float, Float>();\\n Map<Float, Float> formulaSizes = new HashMap<Float, Float>();\\n if (reader != null) {\\n // find a list of formulas and their positions\\n Float bestFormula = new Float(0);\\n for (final TermCountPair term : this.terms) {\\n querySize += term.getCount();\\n final PostingsEnum posting =\\n reader.postings(new Term(this.privateField, term.getTerm()), PostingsEnum.POSITIONS);\\n if (posting != null) {\\n // move to the document currently looking at\\n posting.advance(doc);\\n // get a dictionary of the each potential formula to match to and total number of matches\\n int count = 0;\\n while (count < posting.freq()) {\\n final Float position = new Float(posting.nextPosition());\\n Float positionCount = queryLookup.get(position);\\n if (positionCount != null) {\\n // already in lookup, update and add one\\n positionCount = positionCount + new Float(1);\\n queryLookup.put(position, positionCount);\\n } else {\\n // add to lookup and formula size\\n queryLookup.put(position, new Float(1));\\n formulaSizes.put(position, new Float(0));\\n }\\n count += 1;\\n }\\n // calculate the formula sizes\\n formulaSizes = this.calculateFormulaSizes(reader, doc, formulaSizes);\\n // now calculate the best formula that was matched\\n for (final Map.Entry<Float, Float> entry : queryLookup.entrySet()) {\\n // calculate the intersection\\n final Float temp =\\n (new Float(2) * entry.getValue()) / (querySize + formulaSizes.get(entry.getKey()));\\n if (temp > bestFormula) {\\n bestFormula = temp;\\n }\\n }\\n }\\n }\\n score = bestFormula.floatValue();\\n } else {\\n System.err.println(\\\"Unable to find LeafReader for Dice Query\\\");\\n }\\n return score; // New Score\\n }\",\n \"private void numberResults ()\\r\\n {\\r\\n int partIndex = 0;\\r\\n\\r\\n for (Result result : connection.getResultMap().keySet()) {\\r\\n ScorePart scorePart = (ScorePart) result.getUnderlyingObject();\\r\\n scorePart.setId(++partIndex);\\r\\n }\\r\\n }\",\n \"public float bm25tpCustomScore(int doc, float subQueryScore, float[] valSrcScores)\\n throws IOException {\\n final float newScore = subQueryScore;\\n final Map<String, List<Integer>> pos = this.termsPositions(doc);\\n final float docLength = this.getDocLength(doc);\\n final float K =\\n MathScoreQueryProvider.K\\n * ((1 - MathScoreQueryProvider.B)\\n + MathScoreQueryProvider.B * (docLength / this.avgDl));\\n int qtfi;\\n int qtfj;\\n List<Integer> positionsI;\\n List<Integer> positionsJ;\\n float qwi;\\n float qwj;\\n float score = 0;\\n float termWeight;\\n for (int i = 0; i < this.terms.size(); i++) {\\n positionsI = pos.get(this.terms.get(i).getTerm());\\n if (positionsI != null) {\\n qtfi = (int) this.terms.get(i).getCount();\\n qwi =\\n (float)\\n ((qtfi / (MathScoreQueryProvider.K_3 + qtfi))\\n * Math.log((this.numDocs - positionsI.size()) / positionsI.size()));\\n for (int j = i + 1; j < this.terms.size(); j++) {\\n positionsJ = pos.get(this.terms.get(j).getTerm());\\n if (positionsJ != null) {\\n qtfj = (int) this.terms.get(j).getCount();\\n qwj =\\n (float)\\n ((qtfj / (MathScoreQueryProvider.K_3 + qtfj))\\n * Math.log((this.numDocs - positionsJ.size()) / positionsJ.size()));\\n termWeight = this.termWeight(positionsI, positionsJ, K);\\n score += termWeight * Math.min(qwi, qwj);\\n }\\n }\\n }\\n }\\n return newScore + score;\\n }\",\n \"public double computeHeuristicGrade();\",\n \"public void compPageRank(double d, int..._iterNum) throws IOException\\n\\t{\\n\\t\\tint iterNum;\\n\\t\\tif(_iterNum.length==0) iterNum=10;\\n\\t\\telse iterNum = _iterNum[0];\\n\\t\\t\\n\\t\\t// variable declaration\\n\\t\\tHashtable<String, Object> rankPrev = new Hashtable<String, Object>();\\n\\t\\tVector<String> oneParents;\\n\\t\\tVector<String> oneChildren;\\n\\t\\tdouble oneWeight;\\n\\t\\tFastIterator iter;\\n\\t\\tString keyword = null;\\t\\t\\n\\t\\tHTree rankHash;\\n\\t\\t\\n\\t\\t// initialize all the weights with 1\\n\\t\\titer = childLink.getHash().keys();\\n\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t\\tpageRank.addEntry(keyword, 1.0);\\n\\t\\t\\n\\t\\t//System.out.println(\\\"After Initialization\\\");\\n\\t\\t//printPageRank();\\n\\t\\t\\n\\t\\trankHash = pageRank.getHash();\\n\\t\\t\\n\\t\\t// iteratively compute page rank\\n\\t\\tfor(int i = 0; i < iterNum; i++)\\n\\t\\t{\\n\\t\\t\\t// store the previous page rank values\\n\\t\\t\\titer = rankHash.keys();\\n\\t\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t\\t\\trankPrev.put(keyword, rankHash.get(keyword));\\n\\t\\t\\t\\n\\t\\t\\t// compute page rank value from the previous state\\n\\t\\t\\titer = rankHash.keys();\\n\\t\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t\\t{\\n\\t\\t\\t\\toneParents = (Vector<String>) parentLink.getEntry(keyword);\\n\\t\\t\\t\\toneWeight = 0;\\n\\t\\t\\t\\tfor(String oneId: oneParents) \\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\toneChildren = (Vector<String>) childLink.getEntry(oneId);\\n\\t\\t\\t\\t\\toneWeight += ((Double)rankPrev.get(oneId)) / oneChildren.size();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\toneWeight = (1-d) + d * oneWeight;\\n\\t\\t\\t\\tpageRank.addEntry(keyword, oneWeight);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println(\\\"Iteration: \\\"+i);\\t\\n\\t\\t\\t//printPageRank();\\n\\t\\t}\\n\\t\\t\\n\\t\\tprintPageRank();\\n\\t\\t\\n\\t}\",\n \"private void bedGraphToScores(String fileName) throws IOException{\\n\\t\\t\\n\\t\\tList<ScreenWiggleLocusInfo> screenWigLocInfoList= new ArrayList<ScreenWiggleLocusInfo>();\\n\\t\\tfor(int i= 0; i < getGc().getUserWindowSize(); i++){\\n\\t\\t\\tscreenWigLocInfoList.add(new ScreenWiggleLocusInfo());\\n\\t\\t}\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\tTabixReader tabixReader= new TabixReader(fileName);\\n\\t\\t\\tIterator qry= tabixReader.query(this.getGc().getChrom(), this.getGc().getFrom()-1, this.getGc().getTo());\\n\\t\\t\\twhile(true){\\n\\t\\t\\t\\tString q = qry.next();\\n\\t\\t\\t\\tif(q == null){\\n\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tString[] tokens= q.split(\\\"\\\\t\\\");\\n\\t\\t\\t\\tint screenFrom= Utils.getIndexOfclosestValue(Integer.valueOf(tokens[1])+1, this.getGc().getMapping());\\n\\t\\t\\t\\tint screenTo= Utils.getIndexOfclosestValue(Integer.valueOf(tokens[2]), this.getGc().getMapping());\\n\\t\\t\\t\\tfloat value= Float.valueOf(tokens[this.bdgDataColIdx-1]);\\n\\t\\t\\t\\tfor(int i= screenFrom; i <= screenTo; i++){\\n\\t\\t\\t\\t\\tscreenWigLocInfoList.get(i).increment(value);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t} catch (IOException e) {\\t\\t\\t\\n\\t\\t\\te.printStackTrace();\\n\\t\\t\\tSystem.err.println(\\\"Could not open tabix file: \\\" + fileName);\\n\\t\\t\\tSystem.err.println(\\\"Is the file sorted and indexed? After sorting by position (sort e.g. -k1,1 -k2,2n), compress with bgzip and index with e.g.:\\\");\\n\\t\\t\\tSystem.err.println(\\\"\\\\nbgzip \\\" + fileName);\\n\\t\\t\\tSystem.err.println(\\\"tabix -p bed \\\" + fileName + \\\"\\\\n\\\");\\n\\t\\t}\\n\\t\\tArrayList<Double> screenScores= new ArrayList<Double>();\\n\\t\\tfor(ScreenWiggleLocusInfo x : screenWigLocInfoList){\\n\\t\\t\\tscreenScores.add((double)x.getMeanScore());\\n\\t\\t}\\n\\t\\tthis.setScreenScores(screenScores);\\n\\t\\treturn;\\n\\t}\",\n \"private void calculateGoalsScoredPerGame(LeagueTableEntry entry) {\\r\\n\\t\\tfloat goalsScoredPerGame = (float) entry.getGoalsScored() / entry.getMatchesPlayed();\\r\\n\\t\\tentry.setGoalsScoredPerGame(goalsScoredPerGame);\\r\\n\\t}\",\n \"public void updateScore(){\\n scoreChange++;\\n if(scoreChange % 2 == 0){\\n if(score_val < 999999999)\\n score_val += 1;\\n if(score_val > 999999999)\\n score_val = 999999999;\\n score.setText(\\\"Score:\\\" + String.format(\\\"%09d\\\", score_val));\\n if(scoreChange == 10000)\\n scoreChange = 0;\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.66066957","0.63676685","0.5997034","0.58782643","0.5816413","0.5546358","0.549961","0.54723465","0.54568356","0.54247665","0.53816366","0.53666496","0.5278125","0.52656186","0.5253078","0.51587653","0.5137894","0.5127928","0.512453","0.51098424","0.50519913","0.5023962","0.49943116","0.4987659","0.49554992","0.49513707","0.49343863","0.49274313","0.4922008","0.49189854","0.49151936","0.4913238","0.49119806","0.48777485","0.48438722","0.4835604","0.48315528","0.48084012","0.47716063","0.4765873","0.47650868","0.4764599","0.4761144","0.47367197","0.4730116","0.47297388","0.47249","0.47169197","0.47165132","0.47068474","0.4706622","0.47061023","0.47013035","0.47006413","0.46983036","0.4698055","0.46853167","0.46694523","0.46659753","0.46645004","0.46643168","0.46636638","0.4656419","0.46563026","0.46540472","0.4651135","0.46507847","0.46425366","0.46418506","0.46354556","0.4634903","0.4630545","0.46254262","0.4621638","0.4618752","0.46123713","0.4612153","0.46121234","0.4611463","0.46102154","0.4604621","0.4599263","0.45979324","0.4596223","0.459448","0.45921788","0.45911223","0.45900753","0.45899862","0.4589234","0.45887074","0.4587428","0.45862073","0.45809743","0.45805916","0.45799664","0.45753694","0.45734775","0.45562732","0.455415"],"string":"[\n \"0.66066957\",\n \"0.63676685\",\n \"0.5997034\",\n \"0.58782643\",\n \"0.5816413\",\n \"0.5546358\",\n \"0.549961\",\n \"0.54723465\",\n \"0.54568356\",\n \"0.54247665\",\n \"0.53816366\",\n \"0.53666496\",\n \"0.5278125\",\n \"0.52656186\",\n \"0.5253078\",\n \"0.51587653\",\n \"0.5137894\",\n \"0.5127928\",\n \"0.512453\",\n \"0.51098424\",\n \"0.50519913\",\n \"0.5023962\",\n \"0.49943116\",\n \"0.4987659\",\n \"0.49554992\",\n \"0.49513707\",\n \"0.49343863\",\n \"0.49274313\",\n \"0.4922008\",\n \"0.49189854\",\n \"0.49151936\",\n \"0.4913238\",\n \"0.49119806\",\n \"0.48777485\",\n \"0.48438722\",\n \"0.4835604\",\n \"0.48315528\",\n \"0.48084012\",\n \"0.47716063\",\n \"0.4765873\",\n \"0.47650868\",\n \"0.4764599\",\n \"0.4761144\",\n \"0.47367197\",\n \"0.4730116\",\n \"0.47297388\",\n \"0.47249\",\n \"0.47169197\",\n \"0.47165132\",\n \"0.47068474\",\n \"0.4706622\",\n \"0.47061023\",\n \"0.47013035\",\n \"0.47006413\",\n \"0.46983036\",\n \"0.4698055\",\n \"0.46853167\",\n \"0.46694523\",\n \"0.46659753\",\n \"0.46645004\",\n \"0.46643168\",\n \"0.46636638\",\n \"0.4656419\",\n \"0.46563026\",\n \"0.46540472\",\n \"0.4651135\",\n \"0.46507847\",\n \"0.46425366\",\n \"0.46418506\",\n \"0.46354556\",\n \"0.4634903\",\n \"0.4630545\",\n \"0.46254262\",\n \"0.4621638\",\n \"0.4618752\",\n \"0.46123713\",\n \"0.4612153\",\n \"0.46121234\",\n \"0.4611463\",\n \"0.46102154\",\n \"0.4604621\",\n \"0.4599263\",\n \"0.45979324\",\n \"0.4596223\",\n \"0.459448\",\n \"0.45921788\",\n \"0.45911223\",\n \"0.45900753\",\n \"0.45899862\",\n \"0.4589234\",\n \"0.45887074\",\n \"0.4587428\",\n \"0.45862073\",\n \"0.45809743\",\n \"0.45805916\",\n \"0.45799664\",\n \"0.45753694\",\n \"0.45734775\",\n \"0.45562732\",\n \"0.455415\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.66001767"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":132598,"cells":{"query":{"kind":"string","value":"end normalize() Calculate the Authority score of a page by summing the Hub scores of that page's inlinks."},"document":{"kind":"string","value":"public double SumInlinkHubScore(Page page) {\n\t\tList<String> inLinks = page.getInlinks();\n\t\tdouble hubScore = 0;\n\t\tfor (String inLink1 : inLinks) {\n\t\t\tPage inLink = pTable.get(inLink1);\n\t\t\tif (inLink != null)\n\t\t\t\thubScore += inLink.hub;\n\t\t\t// else: page is linked to by a Page not in our table\n\t\t}\n\t\treturn hubScore;\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public double SumOutlinkAuthorityScore(Page page) {\n\t\tList<String> outLinks = page.getOutlinks();\n\t\tdouble authScore = 0;\n\t\tfor (String outLink1 : outLinks) {\n\t\t\tPage outLink = pTable.get(outLink1);\n\t\t\tif (outLink != null)\n\t\t\t\tauthScore += outLink.authority;\n\t\t}\n\t\treturn authScore;\n\t}","public List<Page> normalize(List<Page> pages) {\n\t\tdouble hubTotal = 0;\n\t\tdouble authTotal = 0;\n\t\tfor (Page p : pages) {\n\t\t\t// Sum Hub scores over all pages\n\t\t\thubTotal += Math.pow(p.hub, 2);\n\t\t\t// Sum Authority scores over all pages\n\t\t\tauthTotal += Math.pow(p.authority, 2);\n\t\t}\n\t\t// divide all hub and authority scores for all pages\n\t\tfor (Page p : pages) {\n\t\t\tif (hubTotal > 0) {\n\t\t\t\tp.hub /= hubTotal;\n\t\t\t} else {\n\t\t\t\tp.hub = 0;\n\t\t\t}\n\t\t\tif (authTotal > 0) {\n\t\t\t\tp.authority /= authTotal;\n\t\t\t} else {\n\t\t\t\tp.authority = 0;\n\t\t\t}\n\t\t}\n\t\treturn pages; // with normalised scores now\n\t}","public double computePageRank(URI pageUri) {\n \treturn this.pageRanks.containsKey(pageUri) ? this.pageRanks.get(pageUri) : 0.0;\n }","private IDictionary<String, Double> computeIdfScores(ISet<Webpage> pages) {\n\t\tidfScores = new ChainedHashDictionary<String, Double>();\n\t\tIDictionary<String, Double> docCount = new ChainedHashDictionary<String, Double>();\n\t\t\n\t\t// Iterates through every webpage and maps all of the unique word counts for that page\n\t\tfor (Webpage page: pages) {\n\t\t\tIList<String> words = page.getWords();\n\t\t\tISet<String> keySet = getKeySet(words);\n\t\t\tfor (String word: keySet) {\n\t\t\t\tif (!docCount.containsKey(word)) {\n\t\t\t\t\tdocCount.put(word, 1.0);\n\t\t\t\t} else {\n\t\t\t\t\tdocCount.put(word, docCount.get(word) + 1.0);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\t\t\n\t\tDouble totalDocuments = (double) pages.size();\n\t\t\n\t\t// Updates IDF scores\n\t\tfor (KVPair<String, Double> pair: docCount) {\n\t\t\tidfScores.put(pair.getKey(), Math.log(totalDocuments / pair.getValue()));\n\t\t}\n\t\treturn idfScores;\n }","public List<Page> hits(String query) {\n\t\t// pages <- EXPAND-PAGES(RELEVANT-PAGES(query))\n\t\tList<Page> pages = expandPages(relevantPages(query));\n\t\t// for each p in pages\n\t\tfor (Page p : pages) {\n\t\t\t// p.AUTHORITY <- 1\n\t\t\tp.authority = 1;\n\t\t\t// p.HUB <- 1\n\t\t\tp.hub = 1;\n\t\t}\n\t\t// repeat until convergence do\n\t\twhile (!convergence(pages)) {\n\t\t\t// for each p in pages do\n\t\t\tfor (Page p : pages) {\n\t\t\t\t// p.AUTHORITY <- &Sigma<sub>i</sub> INLINK<sub>i</sub>(p).HUB\n\t\t\t\tp.authority = SumInlinkHubScore(p);\n\t\t\t\t// p.HUB <- Σ<sub>i</sub> OUTLINK<sub>i</sub>(p).AUTHORITY\n\t\t\t\tp.hub = SumOutlinkAuthorityScore(p);\n\t\t\t}\n\t\t\t// NORMALIZE(pages)\n\t\t\tnormalize(pages);\n\t\t}\n\t\treturn pages;\n\n\t}","public void computeHubAuth (int..._iterNum) throws IOException\n\t{\n\t\tint iterNum;\n\t\tif(_iterNum.length==0) iterNum=10;\n\t\telse iterNum = _iterNum[0];\n\t\t\n\t\t// variable declaration\n\t\tHashtable<String, Object> hubPrev = new Hashtable<String, Object>();\n\t\tVector<String> oneVector;\n\t\tdouble oneWeight;\n\t\tdouble totalHub;\n\t\tdouble totalAuth;\n\t\tdouble totalHubPrev;\n\t\tdouble totalAuthPrev;\n\t\tFastIterator iter;\n\t\tString keyword = null;\t\t\n\t\tHTree hubHash;\n\t\tHTree authHash;\t\t\n\t\t\n\t\t// initialize all the weights with 1\n\t\ttotalHub = 0;\n\t\ttotalAuth = 0;\n\t\t//iter = pageID.getHash().keys();\n\t\titer = parentLink.getHash().keys();\n\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t{\n\t\t\thubWeight.addEntry(keyword, 1.0);\n\t\t\tauthWeight.addEntry(keyword, 1.0);\n\t\t\ttotalHub += 1.0 * 1.0;\n\t\t\ttotalAuth += 1.0 * 1.0;\n\t\t}\n\t\t//System.out.println(\"Intialization\");\n\t\t//printHubAuth();\t\t\n\t\t\n \t\thubHash = hubWeight.getHash();\n \t\tauthHash = authWeight.getHash();\n \t\t\n \t\t//System.out.println(hubHash.keys()==authHash.keys());\n \t\t\n \t\t// iteratively compute the weights\n\t\tfor(int i = 0; i < iterNum; i++)\n\t\t{\n\t\t\t// store the previous state of hub and authority\n\t\t\titer = hubHash.keys();\n\t\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t\t\thubPrev.put(keyword, hubHash.get(keyword));\n\t \t\ttotalHubPrev = Math.sqrt(totalHub);\n\t \t\ttotalAuthPrev = Math.sqrt(totalAuth);\n\t\t\t\n\t\t\t// compute hubs from normalized previous authWeight, hubWeight\n\t \t\ttotalHub = 0;\n\t\t\titer = hubHash.keys();\n\t \t\t//iter = pageID.getHash().keys();\n\t\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t\t{\n\t\t\t\toneVector = (Vector<String>) childLink.getEntry(keyword);\n\t\t\t\toneWeight = 0;\n\t\t\t\tfor(String oneId: oneVector) \n\t\t\t\t\toneWeight += (Double)authHash.get(oneId);\n\t\t\t\toneWeight /= totalHubPrev;\n\t\t\t\ttotalHub += oneWeight * oneWeight;\n\t\t\t\thubWeight.addEntry(keyword, oneWeight);\n\t\t\t}\n\t\t\t\n\t\t\t// System.out.println(hubHash==hubWeight.getHash());\n\t\t\t\n\t\t\t// compute authorities\n\t\t\ttotalAuth = 0;\n\t\t\titer = authHash.keys();\n\t\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t\t{\n\t\t\t\toneVector = (Vector<String>) parentLink.getEntry(keyword);\n\t\t\t\toneWeight = 0;\n\t\t\t\tfor(String oneId: oneVector)\n\t\t\t\t\toneWeight += (Double)hubPrev.get(oneId);\n\t\t\t\toneWeight /= totalAuthPrev;\n\t\t\t\ttotalAuth += oneWeight * oneWeight;\n\t\t\t\tauthWeight.addEntry(keyword, oneWeight);\n\t\t\t}\n\t\t\t\n\t\t\t//System.out.println(\"Iteration: \"+i);\n\t\t\t//printHubAuth();\n\t\t}\n\t\t\n\t\t// normalize hub and authority weights\n\t\ttotalHubPrev = Math.sqrt(totalHub);\n \t\ttotalAuthPrev = Math.sqrt(totalAuth);\n \t\titer = parentLink.getHash().keys();\n \t\twhile( (keyword=(String)iter.next()) != null)\n\t\t{\n\t\t\toneWeight = (Double) hubWeight.getEntry(keyword);\n\t\t\thubWeight.addEntry(keyword, oneWeight/totalHubPrev);\n\t\t\toneWeight = (Double) authWeight.getEntry(keyword);\n\t\t\tauthWeight.addEntry(keyword, oneWeight/totalAuthPrev);\n\t\t}\n \t\tprintHubAuth();\n\t}","public Iterator rankOrdering(Iterator pages)\n\t{\n\t\t//Iterator allWebNode = ind.retrievePages(keyword);\n\t\tIterator allWebNode = pages;\n\t\tif(allWebNode.hasNext()){\n\t\t\tWebNode wb = (WebNode) allWebNode.next();\n\t\t\tint score = wb.getInDegree() * wb.getWordFreq(keyword);\n\t\t\twb.keywordScore = score;\n\t\t\taL.add(wb); \n\t\t}\n\t\t\n\t\twhile (allWebNode.hasNext()) {\n\t\t\tWebNode nwb = (WebNode) allWebNode.next();\n\t\t\tint nscore = nwb.getInDegree() * nwb.getWordFreq(keyword);\n\t\t\tnwb.keywordScore = nscore;\n\t\t\tint i = 0; \n\t\t\twhile(i<aL.size()){\n\t\t\t\tif (nwb.keywordScore < ((WebNode) aL.get(i)).keywordScore)\n\t\t\t \ti++;\n\t\t\t else\n\t\t\t \taL.add(i,nwb);\n\t\t\t} \n\t\t}\n\t\t\n\t\treturn aL.iterator();\n\t}","public static int[] mucScore(LeanDocument key, LeanDocument response)\n{\n // System.out.println(\"==========================================================\");\n // System.out.println(\"Key:\\n\"+key.toStringNoSing()+\"\\n*************************\\nResponse:\\n\"+response.toStringNoSing());\n\n Iterator<TreeMap<Integer, Integer>> goldChains = key.chainIterator();\n // double mucRecall = 0.0;\n int mucRecallNom = 0;\n int mucRecallDenom = 0;\n while (goldChains.hasNext()) {\n TreeMap<Integer, Integer> keyChain = goldChains.next();\n if (keyChain.size() > 1) {\n int numInt = numIntersect(key, keyChain, response);\n\n // int numMatched = getNumMatched(key, keyChain);\n // if(numMatched>0){\n // mucRecallNom += numMatched-numInt;\n mucRecallNom += (keyChain.size() - numInt);\n // mucRecallDenom += numMatched-1;\n mucRecallDenom += keyChain.size() - 1;\n\n // System.out.println(keyChain+\"\\n\"+(keyChain.size() - numInt)+\"/\"+(keyChain.size()-1));\n // }\n }\n }\n int[] result = { mucRecallNom, mucRecallDenom };\n\n return result;\n}","protected abstract void calcScores();","public abstract double getLinkProbability(int linkId);","public int getHomeScore();","private float calculateSimilarityScore(int numOfSuspiciousNodesInA, int numOfSuspiciousNodesInB) {\n\t\t// calculate the similarity score\n\t\treturn (float) (numOfSuspiciousNodesInA + numOfSuspiciousNodesInB) \n\t\t\t\t/ (programANodeList.size() + programBNodeList.size()) * 100;\n\t}","@Override\n\tprotected List<Double> computeRelatedness(Page page1, Page page2) throws WikiApiException {\n List<Double> relatednessValues = new ArrayList<Double>();\n\n Set<Category> categories1 = relatednessUtilities.getCategories(page1);\n Set<Category> categories2 = relatednessUtilities.getCategories(page2);\n\n if (categories1 == null || categories2 == null) {\n return null;\n }\n\n Category root = wiki.getMetaData().getMainCategory();\n // test whether the root category is in this graph\n if (!catGraph.getGraph().containsVertex(root.getPageId())) {\n logger.error(\"The root node is not part of this graph. Cannot compute Lin relatedness.\");\n return null;\n }\n\n for (Category cat1 : categories1) {\n for (Category cat2 : categories2) {\n // get the lowest common subsumer (lcs) of the two categories\n Category lcs = catGraph.getLCS(cat1, cat2);\n\n if (lcs == null) {\n continue;\n }\n\n // lin(c1,c2) = 2 * ic ( lcs(c1,c2) ) / IC(c1) + IC(c2)\n double intrinsicIcLcs = catGraph.getIntrinsicInformationContent(lcs);\n double intrinsicIcCat1 = catGraph.getIntrinsicInformationContent(cat1);\n double intrinsicIcCat2 = catGraph.getIntrinsicInformationContent(cat2);\n\n double relatedness = 0.0;\n if (intrinsicIcCat1 != 0 && intrinsicIcCat2 != 0) {\n relatedness = 2 * intrinsicIcLcs / (intrinsicIcCat1 + intrinsicIcCat2);\n }\n\n relatednessValues.add(relatedness);\n }\n }\n\n logger.debug(relatednessValues);\n return relatednessValues;\n }","public void calculateScore() {\n for (Sequence seq: currentSeq) {\n double wordWeight = Retriever.getWeight(seq);\n String token = seq.getToken();\n int size = seq.getRight() - seq.getLeft() + 1;\n int titleCount = getCount(token.toLowerCase(), title.toLowerCase());\n if (titleCount != 0) {\n setMatch(size);\n setTitleContains(true);\n }\n int lowerCount = getCount(token.toLowerCase(), lowerContent);\n if (lowerCount == 0) {\n// scoreInfo += \"Token: \" + token + \" Original=0 Lower=0 WordWeight=\" + wordWeight + \" wordTotal=0\\n\";\n continue;\n }\n int originalCount = getCount(token, content);\n lowerCount = lowerCount - originalCount;\n if (lowerCount != 0 || originalCount != 0) {\n setMatch(size);\n }\n double originalScore = formula(wordWeight, originalCount);\n double lowerScore = formula(wordWeight, lowerCount);\n final double weight = 1.5;\n double addedScore = weight * originalScore + lowerScore;\n// scoreInfo += \"Token: \" + token + \" Original=\" + originalScore + \" Lower=\" + lowerScore +\n// \" WordWeight=\" + wordWeight + \" wordTotal=\" + addedScore + \"\\n\";\n dependencyScore += addedScore;\n }\n currentSeq.clear();\n }","public Double computeRelevance(IList<String> query, URI pageUri) {\n\t if (query == null || pageUri == null) {\n\t\t throw new NullPointerException();\n\t }\n\t \n IDictionary<String, Double> documentVector = documentTfIdfVectors.get(pageUri);\n IDictionary<String, Double> queryTfScores = computeTfScores(query);\n IDictionary<String, Double> queryVector = new ChainedHashDictionary<String, Double>();\n Double numerator = 0.0;\n \n for (KVPair<String, Double> pair: queryTfScores) {\n\t \t\tDouble queryWordScore = 0.0;\n\t \t\tDouble docWordScore = 0.0;\n\t \t\tif (idfScores.containsKey(pair.getKey())) {\t\n\t \t\t queryWordScore = queryTfScores.get(pair.getKey()) * idfScores.get(pair.getKey());\n\t \t\t}\n \t\t\tqueryVector.put(pair.getKey(), queryWordScore);\n\t \t\tif (documentVector.containsKey(pair.getKey())) {\n\t \t\t\tdocWordScore = documentVector.get(pair.getKey());\n\t \t\t} \n\t \t\tnumerator += queryWordScore * docWordScore;\n } \n \n Double denominator = docDenomScore.get(pageUri) * norm(queryVector);\n \n // A check to avoid division by zero\n if (denominator != 0.0) {\n \t\t return numerator / denominator;\n } else {\n return 0.0;\n }\n }","@Override public double compute(BindRecord neoBindRecord, BindRecord selfBindRecord) {\n // Affinity is expressed as an IC50 concentration:\n // peptides with a lower IC50 bind more strongly, so we\n // invert the ratio relative to the stability model...\n //\n double neoAffinity = neoBindRecord.getAffinity();\n double selfAffinity = selfBindRecord.getAffinity();\n\n return DoubleUtil.log2(selfAffinity / neoAffinity);\n }","protected abstract double relevantScore(Tweet tweet);","public double calculatePageRelevance(String query, Page page) {\n\t\tdouble relevance = 0;\n\t\tString pageText = SearchUtils.cleanQuery(page.toString());\n\t\tFrequencyMap frequencyMap = SearchUtils.countWords(pageText);\n\t\tString[] terms = query.split(\" \");\n\t\tfor (String term : terms) {\n\t\t\trelevance += frequencyMap.get(term);\n\t\t\trelevance /= frequencyMap.getWordCount();\n\t\t}\n\t\treturn relevance;\n\t}","private void htmlGlobalTagStatistics() throws MalformedURLException {\n\t\tfinal List<String> anchorLinks = new ArrayList<>();\n\t\tfinal List<String> imgLinks = new ArrayList<>();\n\t\tfinal List<String> anchorImgLinks = new ArrayList<>();\n\t\tfinal List<Integer> countNbImgGif = new ArrayList<>();\n\t\tfinal List<Integer> countNbScriptOutside = new ArrayList<>();\n\t\thtmlParsed.traverse(new NodeVisitor(){\n\t\t\tString attributeValue = \"\";\n\t\t\tpublic void head(Node node, int depth){\n\t\t\t\tif (node instanceof Element){\n\t\t\t\t\tElement tag = (Element) node;\n\t\t\t\t\tif(tag.tagName().equals(\"a\")){\n\t\t\t\t\t\tattributeValue = tag.attr(\"href\");\n\t\t\t\t\t\tif(attributeValue.length() > 0) {\n\t\t\t\t\t\t\tanchorLinks.add(attributeValue);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse if(tag.tagName().equals(\"img\")){\n\t\t\t\t\t\tattributeValue = tag.attr(\"src\");\n\t\t\t\t\t\tif(attributeValue.length() > 0){\n\t\t\t\t\t\t\timgLinks.add(attributeValue);\n\t\t\t\t\t\t\tif(attributeValue.endsWith(\".gif\")){\n\t\t\t\t\t\t\t\tcountNbImgGif.add(1);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif(tag.parent().tagName().equals(\"a\")) {\n\t\t\t\t\t\t\t\tanchorImgLinks.add(attributeValue);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse if(tag.tagName().equals(\"script\")){\n\t\t\t\t\t\tattributeValue = tag.attr(\"src\");\n\t\t\t\t\t\tif(attributeValue.length() > 0)\n\t\t\t\t\t\t\tcountNbScriptOutside.add(1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t public void tail(Node node, int depth) {\n\t\t }\n\t\t});\t\n\t\t\n\t\tint nbYearImgLink = anchorImgLinks.stream()\n\t\t\t\t.mapToInt(ClassificationGeneralFunctions::countNbOfYears)\n\t\t\t\t.sum();\n\t\t\t\t\n\t\tint nbYearAnchorLink = 0;\n\t\tint nbLinkSameDomain = 0;\n\t\tint nbLinkOutside = 0;\n\t\tint nbHrefJavascript = 0;\n\t\tString domain = new URL(url).getHost().toLowerCase();\n\t\tfor(String link: anchorLinks){\n\t\t\tlink = link.toLowerCase();\n\t\t\tnbYearAnchorLink += ClassificationGeneralFunctions.countNbOfYears(link);\n\t\t\tif(link.startsWith(\"http\")){\n\t\t\t\tif(link.contains(domain)) {\n\t\t\t\t\tnbLinkSameDomain += 1;\n\t\t\t\t}else {\n\t\t\t\t\tnbLinkOutside += 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\telse{\n\t\t\t\tif(link.startsWith(\"javascript\")){\n\t\t\t\t\tnbHrefJavascript += 1;\n\t\t\t\t}else {\n\t\t\t\t\tnbLinkSameDomain += 1;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\thtmlStatistics.put(\"img\", (double) imgLinks.size());\n\t\thtmlStatistics.put(\"img_gif\",(double) countNbImgGif.size());\n\t\thtmlStatistics.put(\"script_outside\", (double) countNbScriptOutside.size());\n\t\thtmlStatistics.put(\"anchor_with_image\", (double) anchorImgLinks.size());\n\t\thtmlStatistics.put(\"year_link_img\", (double) nbYearImgLink);\n\t\thtmlStatistics.put(\"year_link_anchor\", (double) nbYearAnchorLink);\n\t\thtmlStatistics.put(\"links_same_domains\", (double) nbLinkSameDomain);\n\t\thtmlStatistics.put(\"links_to_outside\", (double) nbLinkOutside);\n\t\thtmlStatistics.put(\"href_javascript\", (double) nbHrefJavascript);\n\t}","void hashLexicons(Email email) {\n for (String s : email.processedMessage.keySet()) {\n int tempCount = email.processedMessage.get(s);\n \n if(email.ec==EmailClass.ham)\n {\n totalNumberOfWordsInHamDocuments= totalNumberOfWordsInHamDocuments+tempCount;\n }\n else\n {\n totalNumberOfWordsInSpamDocuments = totalNumberOfWordsInSpamDocuments +tempCount;\n }\n //totalNumberOfWords = totalNumberOfWords + tempCount;\n if (words.containsKey(s)) {\n LexiconCount lc = words.get(s);\n long hc = lc.numberOfOccurencesInHamDocuments;\n long sc = lc.numberOfOccurencesInSpamDocuments;\n\n if (email.ec == EmailClass.ham) {\n hc = hc + tempCount;\n } else {\n sc = sc + tempCount;\n }\n words.put(s, new LexiconCount(hc, sc));\n } else {\n long hc=0,sc=0;\n if(email.ec==EmailClass.ham)\n {\n hc=tempCount;\n }\n else\n {\n sc=tempCount;\n }\n words.put(s, new LexiconCount(hc,sc));\n }\n }\n }","public ScoreReduction (Score score)\r\n {\r\n this.score = score;\r\n\r\n for (TreeNode pn : score.getPages()) {\r\n Page page = (Page) pn;\r\n pages.put(page.getIndex(), page);\r\n }\r\n }","double calculateScore(String documentId);","public double getHitsPercentual()\n\t{\n\t\t//Convert int to double values\n\t\tdouble doubleHits = hits;\n\t\tdouble doubleTotalProcessedStops = totalProcessedStops;\n\t\t\n\t\t//Hits percentual obtained by Jsprit algorithm\n\t\treturn Math.round(100 * (doubleHits / doubleTotalProcessedStops));\n\t}","protected double totalRelevance(Double rel1, Double rel2) {\n\t\t// simple starting place: relevance is the sum of the term frequencies.\n\t\treturn rel1 + rel2;\n\t}","private void histogramScore() {\r\n View.histogram(score, 0, this.getSize().width + 15, 0);\r\n }","private void calculateIndividual(Instructor instructor)\n {\n \tint score = 0;\n \tInstructor courseInstructor;\n \tCourse course;\n \t\n \tint prefNum = 0;\n \tint numCourses = 0;\n \t\n \tint timeNum = 0;\n \t\n \tList<CoursePreference> coursePrefs = instructor.getAllClassPrefs();\t\n \tArrayList<Day> timePrefs = instructor.getTimePrefs(); \n \t\n \tfor (Section section : sections) {\n \t\tcourseInstructor = section.getInstructor();\n \t\t\n \t\tif (courseInstructor.equals(instructor)) {\n \t\t numCourses++;\n \t\t course = section.getCourse();\n \t\t \n \t\t for (CoursePreference pref : coursePrefs) {\n \t\t\t if (pref.course.equals(course)) {\n \t\t\t\t prefNum += pref.preference / 5;\n \t\t\t }\n \t\t }\n \t\t}\n \t}\n \t\n \tif (numCourses > 0) {\n \t\tprefNum /= numCourses;\n \t\ttimeNum /= numCourses;\n \t}\n \t\n \tscore = 100 * (prefNum + timeNum) / 2;\n \t\n this.individualAnalytics.add(new AnalyticsRow(instructor.getName(), score));\n allScores.add(score);\n }","@Override\n public double score(Document document) {\n Set<String> allDocTerms = documentsTerms.termsExtractedFromDocument(document).allTerms();\n\n //keeping only the query terms that are in the document\n Collection<String> relevantTerms = new LinkedHashSet<>(query);\n relevantTerms.retainAll(allDocTerms);\n\n //compute score using a sum formula on each query term\n int docLength = termsOccurences.get(document).totalNumberOfOccurences();\n double score = 0.0;\n for (String term : relevantTerms) {\n double termIDF = idf.weight(term);\n double termTF = tf.weight(term, document);\n\n score += termIDF * (termTF * (k1 + 1)) / (termTF + k1 * (1 - b + b * (docLength / averageDocLength)));\n }\n\n return score;\n }","private void tagInHeadStatistics(){\n\t\tfinal List<Integer> countNbLinkHead = new ArrayList<>();\n\t\tfinal List<Integer> countNbCssHead = new ArrayList<>();\n\t\tfinal List<Integer> countNbScriptHead = new ArrayList<>();\n\t\tfinal List<Integer> countNbCssLinkHead = new ArrayList<>();\n\t\tElement head = htmlParsed.select(\"head\").first();\n\t\thead.traverse(new NodeVisitor(){\n\t\t\tString attributeValue = \"\"; \n\t\t\tpublic void head(Node node, int depth){\n\t\t\t\tif (node instanceof Element){\n\t\t\t\t\tElement tag = (Element) node;\n\t\t\t\t\tif(tag.tagName().equals(\"script\"))\n\t\t\t\t\t\tcountNbScriptHead.add(1);\n\t\t\t\t\telse if(tag.tagName().equals(\"style\"))\n\t\t\t\t\t\tcountNbCssHead.add(1);\n\t\t\t\t\telse if(tag.tagName().equals(\"link\")){\n\t\t\t\t\t\tcountNbLinkHead.add(1);\n\t\t\t\t\t\tattributeValue = tag.attr(\"rel\");\n\t\t\t\t\t\tif(attributeValue.equals(\"stylesheet\"))\n\t\t\t\t\t\t\tcountNbCssLinkHead.add(1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tpublic void tail(Node node, int depth) {\n\t\t }\n\t\t});\n\t\thtmlStatistics.put(\"link_head\",(double) countNbLinkHead.size());\n\t\thtmlStatistics.put(\"css_code_head\", (double) countNbCssHead.size());\n\t\thtmlStatistics.put(\"script_tag_head\", (double) countNbScriptHead.size());\n\t\thtmlStatistics.put(\"link_css_head\", (double) countNbCssLinkHead.size());\n\t}","public void hitAlienScore() {\r\n //Add 5 to the score\r\n score += 5;\r\n System.out.println(\"Current Score = \"+score);\r\n }","@Override\n public void collectionProcessComplete(ProcessTrace arg0) throws ResourceProcessException,\n IOException {\n\n super.collectionProcessComplete(arg0);\n sortSimilarity(coslist);\n log(coslist);\n int rank=findRank(coslist,goldcos);\n rankList.add(rank);\n coslist = new ArrayList<Double>();\n // TODO :: compute the cosine similarity measure\n\n // TODO :: compute the rank of retrieved sentences\n\n for (Integer i : rankList) {\n System.out.println(\"\" + i);\n }\n\n // TODO :: compute the metric:: mean reciprocal rank\n double metric_mrr = compute_mrr();\n System.out.println(\" (MRR) Mean Reciprocal Rank ::\" + metric_mrr);\n }","public void reduce ()\r\n {\r\n if (score.getPages().isEmpty()) {\r\n return;\r\n }\r\n\r\n /* Connect parts across the pages */\r\n connection = PartConnection.connectScorePages(pages);\r\n\r\n // Force the ids of all ScorePart's\r\n numberResults();\r\n\r\n // Create score part-list and connect to pages and systems parts\r\n addPartList();\r\n\r\n // Debug: List all candidates per result\r\n if (logger.isDebugEnabled()) {\r\n dumpResultMapping();\r\n }\r\n }","@Override\n\tpublic double getTotalScore() {\n\t\treturn score;\n\t}","public double getScore() {\n int as = this.attributes.size(); // # of attributes that were matched\n\n // we use thresholding ranking approach for numInstances to influence the matching score\n int instances = this.train.numInstances();\n int inst_rank = 0;\n if (instances > 100) {\n inst_rank = 1;\n }\n if (instances > 500) {\n inst_rank = 2;\n }\n\n return this.p_sum + as + inst_rank;\n }","public double averageArticlesPerUser() {\n\t\tcheckAuthority();\n\t\ttry {\n\t\t\treturn this.administratorRepository.averageArticlesPerUser();\n\t\t} catch (Exception e) {\n\t\t\treturn 0.;\n\t\t}\n\n\t}","public double web(double html,double javascript,double mySQL,double php,double webExam)\n {\n double a = ((10%100)*html)/100;\n double b = ((15%100)*javascript)/100;\n double c = ((12.5%100)*mySQL)/100;\n double d = ((12.5%100)*php)/100;\n double e = ((50%100)*webExam)/100;\n double grade = ((a+b+c+d+e)/8);//*100;\n return grade;\n }","public static void main( String args[] ) throws Exception\n\t{\n\t\t\tBufferedReader infile = new BufferedReader( new FileReader( \"ExamScores.txt\" ) );\n\n\t\t\t// you declare all needed ArrayLists and other variables from here on.\n\t\t\tArrayList<String> lines = new ArrayList<String>();\n\n\t\t\tSystem.out.println(\"\\nSTEP #1: 50%\"); // 50%\n\t\t\twhile (infile.ready()) {\n\t\t\t\tString line = infile.readLine();\n\t\t\t\tSystem.out.println(line);\n\t\t\t\tlines.add(line);\n\t\t\t}\n\t\t\tinfile.close();\n\n\n\t\t\tSystem.out.println(\"\\nSTEP #2: 25%\"); // 75 %\n\t\t\tCollections.sort(lines);\n\t\t\tfor (String s: lines)\n\t\t\t\tSystem.out.println(s);\n\n\t\t\tSystem.out.println(\"\\nSTEP #3: 10%\"); // 85%\n\n\t\t\tTreeMap<String, ArrayList<Integer>> st2sc = new TreeMap<String, ArrayList<Integer>>();\n\t\t\tTreeMap<Double, String> ave2st = new TreeMap<Double, String>();\n\t\t\tint[] sum = new int[lines.get(0).split(\"\\\\s+\").length-1];\n\t\t\t\n\t\t\tinfile = new BufferedReader ( new FileReader(\"query.txt\") );\n\t\t\tString[] queryS= infile.readLine().split(\" \");\n\t\t\tint[] query = new int[queryS.length];\n\t\t\tfor (int i=0; i<queryS.length; i++)\n\t\t\t\tquery[i]=Integer.parseInt(queryS[i]);\n\t\t\tfor (String s: lines)\n\t\t\t{\t\n\t\t\t\tdouble sumq = 0;\n\t\t\t\tdouble aveq = 0;\n\t\t\t\tString[] tokens = s.split(\"\\\\s+\");\n\t\t\t\tArrayList<Integer> scores = new ArrayList<Integer>();\n\t\t\t\tfor (int t=1; t<tokens.length; t++){\n\t\t\t\t\tscores.add(Integer.parseInt(tokens[t]));\n\t\t\t\t}\n\t\t\t\tst2sc.put(tokens[0], scores);\n\t\t\t\tfor (int q: query)\n\t\t\t\t\tsumq += Integer.parseInt(tokens[q]);\n\t\t\t\tfor (int nth = 0; nth<sum.length; nth++){\n\t\t\t\t\tsum[nth]+= Integer.parseInt(tokens[nth+1]);\n\t\t\t\t}\n\t\t\t\taveq = sumq/3;\n\t\t\t\tave2st.put(aveq, tokens[0]);\n\t\t\t}\n\t\t\tfor (double f: ave2st.keySet())\n\t\t\t\tSystem.out.printf(ave2st.get(f)+\" \"+\"%.2f\\n\", f);\n\n\t\t\tSystem.out.println(\"\\nSTEP #4: 15%\"); // 100%\n\t\t\t\n\t\t\tint lowest = sum[0];\n\t\t\tint which = 0;\n\t\t\tfor (int i=1; i<sum.length; i++)\n\t\t\t{\n\t\t\t\tif (sum[i]<lowest)\n\t\t\t\t{\n\t\t\t\t\tlowest = sum[i];\n\t\t\t\t\twhich = i;\n\t\t\t\t}\n\t\t\t}\n\t\t\tSystem.out.println(\"exam\"+(which+1)+\" had the lowest average\");\n\n\n\t}","protected abstract List<Double> calcScores();","public double averageFollowupsPerArticle() {\n\t\tcheckAuthority();\n\t\ttry {\n\t\t\treturn this.administratorRepository.averageFollowupsPerArticle();\n\t\t} catch (Exception e) {\n\t\t\treturn 0.;\n\t\t}\n\n\t}","@Override\n\tprotected double evaluate(final IChromosome a_subject) {\n\n\t\tdouble s = 0;\n\n\t\t// Get the genes represented by the chromosome\n\t\tGene[] genes = a_subject.getGenes();\n\n\t\t// Iterate through each of those genes\n\t\tfor (int i = 0; i < genes.length - 1; i++) {\n\n\t\t\t// Add all of the edge distances in the chromosome\n\t\t\ts += m_salesman.distance(genes[i], genes[i + 1]);\n\t\t}\n\n\t\t// add cost of coming back:\n\t\ts += m_salesman.distance(genes[genes.length - 1], genes[0]);\n\t\treturn s;\n\t}","private void shareTotalScore(String typeOfShare) {\n final String fbType = getResources().getString(R.string.action_share_on_facebook);\n\n if (typeOfShare.equals(fbType)) {\n // Share total score on Facebook social network\n shareOnFacebook();\n } else {\n // Share total score on P2A web\n shareOnP2A();\n }\n }","private void calculateOverall()\n {\n ArrayList<Integer> average = new ArrayList<Integer>(1);\n ArrayList<Integer> median = new ArrayList<Integer>(1);\n ArrayList<Integer> mode = new ArrayList<Integer>();\n ArrayList<Integer> stdDev = new ArrayList<Integer>(1);\n \n int avg = 0;\n int med = 90;\n int mod = 90;\n int dev = 0;\n \n int[] modeArray = new int[100];\n \n for (int i = 0; i < 100; i++) {\n \tmodeArray[i] = 0;\n }\n \n for (Integer score : allScores) {\n \tavg += score;\n \tmodeArray[score]++;\n }\n \n for (int i = 0; i < 100; i++) {\n \tif (modeArray[i] > mod) {\n \t\tmod = modeArray[i];\n \t}\n }\n \n avg = avg / allScores.size();\n \n Collections.sort(allScores);\n med = allScores.get(allScores.size() / 2);\n \n for (Integer score : allScores) {\n \tdev += Math.pow(score - avg, 2);\n }\n dev = (int)Math.floor(Math.sqrt(dev / allScores.size()));\n\n // TODO: Perform the actual calculations here\n average.add(avg);\n median.add(med);\n mode.add(mod);\n stdDev.add(dev);\n\n this.overallAnalytics.put(\"Average\", average);\n this.overallAnalytics.put(\"Median\", median);\n this.overallAnalytics.put(\"Mode\", mode);\n this.overallAnalytics.put(\"Standard Deviation\", stdDev);\n }","private Double calculateMatchScore(String query, ConceptMap matchedMapping) {\n return 10000d;\n }","private double getScore() {\n double score = 0;\n score += getRBAnswers(R.id.radiogroup1, R.id.radiobutton_answer12);\n score += getRBAnswers(R.id.radiogroup2, R.id.radiobutton_answer21);\n score += getRBAnswers(R.id.radiogroup3, R.id.radiobutton_answer33);\n score += getRBAnswers(R.id.radiogroup4, R.id.radiobutton_answer41);\n score += getCBAnswers();\n score += getTextAns();\n score = Math.round(score / .0006);\n score = score / 100;\n return score;\n }","public int totalScore() {\n return 0;\n }","public double getPercentageIdentity(ValueEdge edge) {\n\t\tPair<HitVertex> pair = this.getEndpoints(edge);\n\t\tSubHit subHit[] = edge.getSubHit();\n\t\tint identitiesSum = 0;\n\t\tint lengthSum = 0;\n\t\tfor (int i = 0; i < subHit.length; i++) {\n\t\t\tidentitiesSum += subHit[i].getNumberOfIdentities();\n\t\t\tlengthSum += Math.max(\n\t\t\t\t\tsubHit[i].getQuerySequenceEnd()\n\t\t\t\t\t\t\t- subHit[i].getQuerySequenceStart(),\n\t\t\t\t\tsubHit[i].getSubjectSequenceEnd()\n\t\t\t\t\t\t\t- subHit[i].getSubjectSequenceStart());\n\t\t}\n\n\t\treturn identitiesSum * 100.0 / lengthSum;\n\t}","public int getInstabilityScore();","public void calcAvg(){\n\t\taverage = hits/atbat;\n\t\t\n\t}","@Override\n public int accion() {\n return this.alcance*2/3*3;\n }","public byte score() {\n\t\tbyte score = 0;\n\t\t\n\t\tfor (byte r = 0; r < b.length; r++) {\n\t\t\tfor (byte c = 0; c < b[r].length; c++) {\n\t\t\t\tif (b[r][c].getSide()) {\n\t\t\t\t\tscore += (b[r][c]).getValue();\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\telse {\n\t\t\t\t\tscore -= (b[r][c]).getValue();\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\n\t\treturn score;\n\t}","private double calcScorePercent() {\n\t\tdouble adjustedLab = totalPP * labWeight;\n\t\tdouble adjustedProj = totalPP * projWeight;\n\t\tdouble adjustedExam = totalPP * examWeight;\n\t\tdouble adjustedCodeLab = totalPP * codeLabWeight;\n\t\tdouble adjustedFinal = totalPP * finalWeight;\n\n\t\tlabScore = (labScore / labPP) * adjustedLab;\n\t\tprojScore = (projScore / projPP) * adjustedProj;\n\t\texamScore = (examScore / examPP) * adjustedExam;\n\t\tcodeLabScore = (codeLabScore / codeLabPP) * adjustedCodeLab;\n\t\tfinalExamScore = (finalExamScore / finalExamPP) * adjustedFinal;\n\n//\t\tdouble labPercent = labScore / adjustedLab;\n//\t\tdouble projPercent = projScore / adjustedProj;\n//\t\tdouble examPercent = examScore / adjustedExam;\n//\t\tdouble codeLabPercent = codeLabScore / adjustedCodeLab;\n//\t\tdouble finalPercent = finalExamScore / adjustedFinal;\n\n\t\tdouble totalPercent = (labScore + projScore + examScore + codeLabScore + finalExamScore) / totalPP;\n\t\t\n\t\tscorePercent = totalPercent;\n\t\t\n\t\treturn totalPercent;\n\t}","public void calculate(Set<Article> articles) {\n \n Set<ArticleDocument> articleDocuments = new HashSet<>();\n for (Article article : articles) {\n articleDocuments.add(article.getDocument());\n }\n \n VSMDocument positiveWords = new TextDocument(\"positive_words.txt\");\n VSMDocument negativeWords = new TextDocument(\"negative_words.txt\");\n \n ArrayList<VSMDocument> documents = new ArrayList<VSMDocument>();\n documents.add(positiveWords);\n documents.add(negativeWords);\n documents.addAll(articleDocuments);\n \n Corpus corpus = new Corpus(documents);\n \n VectorSpaceModel vectorSpace = new VectorSpaceModel(corpus);\n \n double totalPositive = 0;\n double totalNegative = 0;\n \n \n for(ArticleDocument articleDoc : articleDocuments) {\n VSMDocument doc = (VSMDocument) articleDoc;\n System.out.println(\"\\nComparing to \" + doc);\n double positive = vectorSpace.cosineSimilarity(positiveWords, doc);\n double negative = vectorSpace.cosineSimilarity(negativeWords, doc);\n System.out.println(\"Positive: \" + positive);\n System.out.println(\"Negative: \" + negative);\n if (!Double.isNaN(positive)) {\n totalPositive += positive;\n }\n if (!Double.isNaN(negative)) {\n totalNegative += negative;\n }\n double difference = positive - negative;\n if (difference >= 0) {\n System.out.println(\"More positive by \" + difference);\n } else {\n System.out.println(\"More negative by \" + Math.abs(difference));\n }\n \n if (positive >= mostPositive) {\n mostPositive = positive;\n mostPositiveDoc = doc;\n }\n if (negative >= mostNegative) {\n mostNegative = negative;\n mostNegativeDoc = doc;\n }\n if (Math.abs(difference) >= Math.abs(biggestDifference)) {\n biggestDifference = difference;\n biggestDifferenceDoc = doc;\n }\n \n String publisher = articleDoc.getPublisher();\n String region = articleDoc.getRegion();\n LocalDate day = articleDoc.getDate().toLocalDate();\n DayOfWeek weekday = day.getDayOfWeek();\n if (!Double.isNaN(positive)) {\n if (publisherOptimism.containsKey(publisher)) {\n publisherOptimism.get(publisher).add(positive);\n } else {\n publisherOptimism.put(publisher, new LinkedList<Double>());\n publisherOptimism.get(publisher).add(positive);\n }\n \n if (publisherPessimism.containsKey(publisher)) {\n publisherPessimism.get(publisher).add(negative);\n } else {\n publisherPessimism.put(publisher, new LinkedList<Double>());\n publisherPessimism.get(publisher).add(negative);\n }\n \n if (regionOptimism.containsKey(region)) {\n regionOptimism.get(region).add(positive);\n } else {\n regionOptimism.put(region, new LinkedList<Double>());\n regionOptimism.get(region).add(positive);\n }\n \n if (regionPessimism.containsKey(region)) {\n regionPessimism.get(region).add(negative);\n } else {\n regionPessimism.put(region, new LinkedList<Double>());\n regionPessimism.get(region).add(negative);\n }\n \n if (dayOptimism.containsKey(day)) {\n dayOptimism.get(day).add(positive);\n } else {\n dayOptimism.put(day, new LinkedList<Double>());\n dayOptimism.get(day).add(positive);\n }\n \n if (dayPessimism.containsKey(day)) {\n dayPessimism.get(day).add(negative);\n } else {\n dayPessimism.put(day, new LinkedList<Double>());\n dayPessimism.get(day).add(negative);\n }\n \n if (weekdayOptimism.containsKey(weekday)) {\n weekdayOptimism.get(weekday).add(positive);\n } else {\n weekdayOptimism.put(weekday, new LinkedList<Double>());\n weekdayOptimism.get(weekday).add(positive);\n }\n \n if (weekdayPessimism.containsKey(weekday)) {\n weekdayPessimism.get(weekday).add(negative);\n } else {\n weekdayPessimism.put(weekday, new LinkedList<Double>());\n weekdayPessimism.get(weekday).add(negative);\n }\n }\n }\n \n size = articleDocuments.size();\n avgPositive = totalPositive / size;\n avgNegative = totalNegative / size;\n printInfo();\n }","int definePassingScore(Speciality speciality) throws LogicException;","double calcScoreFromObjCount(double[] c_in, double[] c_out) {\r\n\t\t// / multi-class\r\n\t\tdouble diff, sum = 0, max_val = Double.NEGATIVE_INFINITY, min_val = Double.POSITIVE_INFINITY;\r\n\t\tfor (int i = 0; i < num_class; i++) {\r\n\t\t\tdiff = (c_in[i] - c_out[i]);\r\n\t\t\tif (diff > max_val) {\r\n\t\t\t\tmax_val = diff;\r\n\t\t\t}\r\n\t\t\tif (diff < min_val) {\r\n\t\t\t\tmin_val = diff;\r\n\t\t\t}\r\n\t\t\tsum += Math.abs(diff);\r\n\t\t}\r\n\t\treturn (sum - Math.abs(max_val) - Math.abs(min_val)) + Math.abs(max_val - min_val);\r\n\t}","public double getScore() {\n double compositeScore = this.normaliseViewingTime();\n if (this.normalisedRating > 0) {\n compositeScore *= this.normalisedRating;\n }\n else {\n compositeScore *= ((double)RANGE / (double)2) / (double)RANGE;\n }\n return compositeScore;\n }","private Node estimateRelevance(Node original) throws Exception {\n Node combineNode = new Node(\"combine\", new NodeParameters(), original.getInternalNodes(), original.getPosition());\n\n // Only get as many as we need\n Parameters localParameters = retrieval.getGlobalParameters().clone();\n int fbDocs = (int) retrieval.getGlobalParameters().get(\"fbDocs\", 10);\n localParameters.set(\"requested\", fbDocs);\n\n // transform and run\n Node transformedCombineNode = retrieval.transformQuery(combineNode, localParameters);\n List<ScoredDocument> initialResults = retrieval.executeQuery(transformedCombineNode, localParameters).scoredDocuments;\n \n // Gather content\n ArrayList<String> names = new ArrayList<String>();\n for (ScoredDocument sd : initialResults) {\n names.add(sd.documentName);\n }\n List<Document> docs = getDocuments(names);\n\n // Now the maps from the different information sources\n // Each of these is a term -> field -> score double-mapping\n HashMap<String, TObjectDoubleHashMap<String>> uCFSs = null;\n double ucfw = p.get(\"ucfw\", 1.0);\n if (ucfw != 0.0) {\n uCFSs = getUnigramCollFieldScores();\n }\n\n HashMap<String, TObjectDoubleHashMap<String>> bCFSs = null;\n double bcfw = p.get(\"bcfw\", 1.0);\n if (bcfw != 0.0) {\n bCFSs = getBigramCollFieldScores();\n }\n\n HashMap<String, TObjectDoubleHashMap<String>> uPRFSs = null;\n double uprfw = p.get(\"uprfw\", 1.0);\n if (uprfw != 0.0) {\n uPRFSs = getUnigramPRFScores(docs);\n }\n\n HashMap<String, TObjectDoubleHashMap<String>> bPRFSs = null;\n double bprfw = p.get(\"bprfw\", 1.0);\n if (bprfw != 0.0) {\n bPRFSs = getBigramPRFScores(docs);\n }\n\n // We can now construct term-field weights using our supplied lambdas\n // and scores\n Node termNodes = new Node(\"combine\", new NodeParameters(), new ArrayList<Node>(), 0);\n termNodes.getNodeParameters().set(\"norm\", false);\n TObjectDoubleHashMap<String> weights = new TObjectDoubleHashMap<String>();\n for (String term : queryTerms) {\n weights.clear();\n for (String field : fields) {\n double sum = 0.0;\n if (uCFSs != null) {\n sum += (ucfw * uCFSs.get(term).get(field));\n }\n\n if (bCFSs != null) {\n TObjectDoubleHashMap<String> termMap = bCFSs.get(term);\n if (termMap != null) {\n sum += (bcfw * termMap.get(field));\n }\n }\n\n if (uPRFSs != null) {\n sum += (uprfw * uPRFSs.get(term).get(field));\n }\n\n if (bPRFSs != null) {\n TObjectDoubleHashMap<String> termMap = bPRFSs.get(term);\n if (termMap != null) {\n sum += (bprfw * termMap.get(field));\n }\n }\n weights.put(field, sum);\n }\n termNodes.addChild(createTermFieldNodes(term, weights));\n }\n return termNodes;\n }","int score();","int score();","@Override\n public float customScore(int doc,\n float subQueryScore,\n float[] valSrcScores)\n throws IOException {\n float dl = this.context.reader().getNumericDocValues(\"TotalTerms\").get(doc);\n float dvl = this.context.reader().getNumericDocValues(\"UniqueTerms\").get(doc);\n float ent = this.context.reader().getNumericDocValues(\"Entropy\").get(doc);\n \n float qvl = QuerySearch.currentQuery.numTypes();\n\n \n float lmnorm = 0;\n \n if (SPUDLMSimilarity.method == SPUDLMSimilarity.dir){\n //LM Dirichlet \n \n lmnorm = (float) (Math.log(SPUDLMSimilarity.dir_mu / (dl + SPUDLMSimilarity.dir_mu)));\n }else if (SPUDLMSimilarity.method == SPUDLMSimilarity.spud){\n //spud\n double spud_mu = SPUDLMSimilarity.b0*SPUDLMSimilarity.omega/(1-SPUDLMSimilarity.omega);\n lmnorm = (float) (Math.log(spud_mu / (dvl + spud_mu)));\n \n }else{\n //default spud\n double spud_mu = SPUDLMSimilarity.b0*SPUDLMSimilarity.omega/(1-SPUDLMSimilarity.omega);\n lmnorm = (float) (Math.log(spud_mu / (dvl + spud_mu)));\n \n }\n \n \n return (subQueryScore + lmnorm );\n \n }","@Override\n public void processCas(CAS aCas) throws ResourceProcessException {\nSystem.out.println(\"Retrival evaluator...\");\n JCas jcas;\n try {\n jcas = aCas.getJCas();\n } catch (CASException e) {\n throw new ResourceProcessException(e);\n }\n\n FSIterator it = jcas.getAnnotationIndex(Document.type).iterator();\n \n// if (it.hasNext()) {\n// Document doc = (Document) it.next();\n// cnt++;\n// }\n// log(cnt);\n it = jcas.getAnnotationIndex(Document.type).iterator();\n\n if (it.hasNext()) {\n Document doc = (Document) it.next();\n int queryid = doc.getQueryID();\n int rel = doc.getRelevanceValue();\n // Make sure that your previous annotators have populated this in CAS\n FSList fsTokenList = doc.getTokenList();\n ArrayList<Token> tokenList = Utils.fromFSListToCollection(fsTokenList, Token.class);\n Map<String, Integer> queryVector = new HashMap<String, Integer>();\n Map<String, Integer> docVector = new HashMap<String, Integer>();\n if (rel == 99) {\n for (Token t : tokenList) {\n queryVector.put(t.getText(), t.getFrequency());\n }\n queryVectorlist.add(queryVector);\n } else {\n for (Token t : tokenList) {\n docVector.put(t.getText(), t.getFrequency());\n }\n double cos = computeCosineSimilarity(queryVectorlist.get(queryid - 1), docVector);\n coslist.add(cos);\n\n if (rel == 1) {\n gold = lines;\n goldcos = cos;\n System.out.println(\"goldcos\"+goldcos);\n }\n }\n \n if (qIdList.size() >= 1 && qIdList.get(qIdList.size() - 1) != queryid) {\n// System.out.println(\"lines:\"+lines);\n sortSimilarity(coslist);\n log(coslist);\n int rank=findRank(coslist,goldcos);\n rankList.add(rank);\n coslist = new ArrayList<Double>();\n }\n\n qIdList.add(doc.getQueryID());// 有啥用？？？\n relList.add(doc.getRelevanceValue());\n\n // Do something useful here\n lines++;\n }\n //log(coslist);\n\n }","public int getTotalScore(){\r\n return totalScore;\r\n }","public static void main(String[] args) throws IOException \n\t{\n\t\tScanner sc = new Scanner(System.in);\n\t\tSystem.out.print(\"Please input the keyword: \");\n\t\tString keyword = sc.next();\n\t\tsc.close();\n\t\n\t\tKeywordList kLst = new KeywordList();\t\n\t\tSystem.out.println(\"-------------------------------------------------------\\nRelative Word List: \");\n\t\tkLst.printKeywordList(kLst.getKeywords());\n\t\tSystem.out.print(\"-------------------------------------------------------\\nValid Web Pages for Keyword [\" + keyword + \"]: \\n\");\n\t\tGoogleSearch google = new GoogleSearch(keyword);\n\t\tSystem.out.print(google.toString());\n\t\t\n\t\tArrayList<WebNode> wLst = new ArrayList<WebNode>();\t\n\t\t\n\t\ttry \n\t\t{\t\t\n\t\t\tfor(String title: google.query().keySet()) \n\t\t\t{\n\t\t\t\tString webUrl = google.query().get(title);\t\n\t\t\t\tWebPage rootPage = new WebPage(webUrl, title);\n\t\t\t\tWebTree tree = new WebTree(rootPage);\n\t\t\t\t\t\n\t\t\t\tChildPageQuery childQ = new ChildPageQuery(webUrl);\n\t\t\t\tint count = 0;\n\t\t\t\tif(childQ.query() != null) \n\t\t\t\t{\t\t\t\n\t\t\t\t\tfor(String childUrl: childQ.query()) \n\t\t\t\t\t{\t\t\t\n\t\t\t\t\t\tcount++;\t\t\t\t\t\t\t\n\t\t\t\t\t\ttree.root.addChild(new WebNode(new WebPage(childUrl, count + \"\")));\n\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\ttree.setPostOrderScore(kLst.getKeywords());\n\t\t\t\t\twLst.add(tree.root);\n\t\t\t\t}\n\t\t\t}\t\n\t\t\t\n\t\t\tWebRating rating = new WebRating(wLst);\n\t\t\trating.sort();\n\t\t\tSystem.out.println(\"-------------------------------------------------------\\n★★★Rating★★★\\n(Title, Total Child Pages, Total Root Page Score)\");\n\t\t\tSystem.out.print(rating.output());\n\t\t} \n\n\t\tcatch(IOException e)\n\t\t{\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t}","public static void pageRankmain() {\n\t\t\t\n\t\t\tstopWordStore();\n\t\t\t//File[] file_read= dir.listFiles();\n\t\t\t//textProcessor(file_read);// Will be called from LinkCrawler\n\t\t\t//queryProcess();\n\t\t\t//System.out.println(\"docsave \"+ docsave);\n\t\t\t/*for ( Map.Entry<String, ArrayList<String>> entry : docsave.entrySet()) {\n\t\t\t String key = entry.getKey();\n\t\t\t List<String> values = entry.getValue();\n\t\t\t System.out.print(\"Key = \" + key);\n\t\t\t System.out.println(\" , Values = \"+ values);\n\t\t\t}*/\n\t\t\t//########## RESPOINSIBLE FOR CREATING INVERTED INDEX OF TERMS ##########\n\t\t\tfor(int i=0;i<vocabulary.size();i++) {\n\t\t\t\tint count=1;\n\t\t\t\tMap<String, Integer> nestMap = new HashMap<String, Integer>();\n\t\t\t\tfor ( Map.Entry<String, ArrayList<String>> entry : docsave.entrySet()) {\n\t\t\t\t String keyMain = entry.getKey();\n\t\t\t\t List<String> values = entry.getValue();\n\t\t\t\t if(values.contains(vocabulary.get(i)))\n\t\t\t\t \t{\n\t\t\t\t \tentryDf.put(vocabulary.get(i), count);//entryDf stores documents frequency of vocabulary word \\\\it increase the count value for specific key\n\t\t\t\t \tcount++;\n\t\t\t\t \t}\n\t\t\t\t \n\t\t\t\t nestMap.put(keyMain, Collections.frequency(values,vocabulary.get(i)));\n\t\t\t \t\n\t\t\t \t//System.out.println(\"VOC \"+ vocabulary.get(i)+ \" KeyMain \" +keyMain+ \" \"+ Collections.frequency(values,vocabulary.get(i)));\n\t\t\t\t\t}\n\t\t\t\t\ttfList.put(vocabulary.get(i), nestMap);\n\t\t\t}\n\t\t\t//########## RESPOINSIBLE FOR CREATING A MAP \"storeIdf\" TO STORE IDF VALUES OF TERMS ##########\n\t\t\tfor ( Map.Entry<String, Integer> endf : entryDf.entrySet()) {\n\t\t\t\tString keydf = endf.getKey();\n\t\t\t\tint valdf = endf.getValue();\n\t\t\t\t//System.out.print(\"Key = \" + \"'\"+keydf+ \"'\");\n\t\t\t //System.out.print(\" , Values = \"+ valdf);\n\t\t\t double Hudai = (double) (docsave.size())/valdf;\n\t\t\t //System.out.println(\"docsave size \"+docsave.size()+ \" valdf \"+ valdf + \" Hudai \"+ Hudai+ \" log Value1 \"+ Math.log(Hudai)+ \" log Value2 \"+ Math.log(2));\n\t\t\t double idf= Math.log(Hudai)/Math.log(2);\n\t\t\t storeIdf.put(keydf, idf);\n\t\t\t //System.out.print(\" idf-> \"+ idf);\n\t\t\t //System.out.println();\n\t\t\t} \n\t\t\t\n\t\t\t//############ Just for Printing ##########NO WORK HERE########\n\t\t\tfor (Map.Entry<String, Map<String, Integer>> tokTf : tfList.entrySet()) {\n\t\t\t\tString keyTf = tokTf.getKey();\n\t\t\t\tMap<String, Integer> valTF = tokTf.getValue();\n\t\t\t\tSystem.out.println(\"Inverted Indexing by Key Word = \" + \"'\"+keyTf+ \"'\");\n\t\t\t\tfor (Map.Entry<String, Integer> nesTf : valTF.entrySet()) {\n\t\t\t\t\tString keyTF = nesTf.getKey();\n\t\t\t\t\tInteger valTf = nesTf.getValue();\n\t\t\t\t\tSystem.out.print(\" Document Consists This Key Word = \" + \"'\"+ keyTF+ \"'\");\n\t\t\t\t\tSystem.out.println(\" , Term Frequencies in This Doc = \"+ valTf);\n\t\t\t\t} \n\t\t\t}\n\t\t\t//########### FOR CALCULATING DOCUMENT LENTH #############//\n\t\t\tfor ( Map.Entry<String, ArrayList<String>> entry_new : docsave.entrySet()) // Iterating Number of Documents\n\t\t\t{\n\t\t\t\tString keyMain_new = entry_new.getKey();\n\t\t\t\t//int countStop=0;\n\t\t\t\tdouble sum=0;\n\t\t\t\t for(Map.Entry<String, Map<String, Integer>> tokTf_new : tfList.entrySet()) // Iterating through the vocabulary\n\t\t\t\t { \n\t\t\t\t\t Map<String, Integer> valTF_new = tokTf_new.getValue();\n\t\t\t\t\t for (Map.Entry<String, Integer> nesTf_new : valTF_new.entrySet()) // Iterating Through the Documents\n\t\t\t\t\t {\n\t\t\t\t\t\t if(keyMain_new.equals(nesTf_new.getKey())) // Only doc name EQUAL with docsave name can enter here\n\t\t\t\t\t\t {\n\t\t\t\t\t\t\t double val = nesTf_new.getValue()* (Double) storeIdf.get(tokTf_new.getKey());\n\t\t\t\t\t\t\t sum = sum+ Math.pow(val, 2);\n\t\t\t\t\t\t }\n\t\t\t\t\t }\n\t\t\t\t\t \n\t\t\t\t\t //countStop++;\n\t\t\t\t }\n\t\t\t\t docLength.put(keyMain_new, Math.sqrt(sum));\n\t\t\t\t sum=0;\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t\tSystem.out.println(\"Document Length \"+ docLength);\n\t\t\t//System.out.println(\"tfList \"+tfList);\n\t\t\t\n\t\t\t //########### FOR CALCULATING QUERY LENTH #############///\n\t\t\t\tdouble qrySum=0;\n\t\t\t\t for(String qryTerm: queryList) // Iterating through the vocabulary\n\t\t\t\t {\n\t\t\t\t\t//entryQf.put(qryTerm, Collections.frequency(queryList,qryTerm));// VUl ase\n\t\t\t\t\t \n\t\t\t\t\t\t if(storeIdf.get(qryTerm) != null) \n\t\t\t\t\t\t {\n\t\t\t\t\t\t\t entryQf.put(qryTerm, Collections.frequency(queryList,qryTerm));\n\t\t\t\t\t\t\t double val = entryQf.get(qryTerm)* (Double) storeIdf.get(qryTerm);\n\t\t\t\t\t\t\t qrySum = qrySum+ Math.pow(val, 2);\n\t\t\t\t\t\t }\n\t\t\t\t\t System.out.println(qryTerm+\" \"+entryQf.get(qryTerm)+ \" \"+ (Double) storeIdf.get(qryTerm));\n\t\t\t\t }\n\t\t\t\t qrySum=Math.sqrt(qrySum);\n\t\t\t\t System.out.println(\"qrySum \" + qrySum);\n\t\t\t\t \n\t\t\t\t//########### FOR CALCULATING COSINE SIMILARITY #############///\n\t\t\t\t for ( Map.Entry<String, ArrayList<String>> entry_dotP : docsave.entrySet()) // Iterating Number of Documents\n\t\t\t\t\t{\n\t\t\t\t\t\tdouble sumProduct=0;\n\t\t\t\t\t\tdouble productTfIdf=0;\n\t\t\t\t\t\tString keyMain_new = entry_dotP.getKey(); //Geting Doc Name\n\t\t\t\t\t\t for(Map.Entry<String, Integer> qryTermItr : entryQf.entrySet()) // Iterating through the vocabulary\n\t\t\t\t\t\t {\n\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t Map<String, Integer> matchTerm = tfList.get(qryTermItr.getKey()); // Getting a map of doc Names by a Query Term as value of tfList\n\n\t\t\t\t\t\t\t\t if(matchTerm.containsKey(keyMain_new)) // Only doc name EQUAL with docsave name can enter here\n\t\t\t\t\t\t\t\t {\n\t\t\t\t\t\t\t\t\t //System.out.println(\"Test \"+ matchTerm.get(keyMain_new) +\" keyMain_new \" + keyMain_new);\n\t\t\t\t\t\t\t\t\t double docTfIdf= matchTerm.get(keyMain_new) * storeIdf.get(qryTermItr.getKey());\n\t\t\t\t\t\t\t\t\t double qryTfIdf= qryTermItr.getValue() * storeIdf.get(qryTermItr.getKey());\n\t\t\t\t\t\t\t\t\t productTfIdf = docTfIdf * qryTfIdf;\n\t\t\t\t\t\t\t\t }\n\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t sumProduct= sumProduct+productTfIdf;\n\t\t\t\t\t\t\t //System.out.println(\"productTfIdf \"+productTfIdf+\" sumProduct \"+ sumProduct);\n\t\t\t\t\t\t\t productTfIdf=0;\n\t\t\t\t\t\t }\n\t\t\t\t\t\t cosineProd.put(entry_dotP.getKey(), sumProduct/(docLength.get(entry_dotP.getKey())*qrySum));\n\t\t\t\t\t\t sumProduct=0;\n\t\t\t\t\t\t //System.out.println(entry_dotP.getKey()+ \" \" + docLength.get(entry_dotP.getKey()));\n\t\t\t\t\t}\n\t\t\t\t System.out.println(\"cosineProd \"+ cosineProd);\n\t\t\t\t \n\t\t\t\t System.out.println(\"Number of Top Pages you want to see\");\n\t\t\t\t int topRank = Integer.parseInt(scan.nextLine());\n\t\t\t\t Map<String, Double> result = cosineProd.entrySet().stream()\n\t\t\t .sorted(Map.Entry.comparingByValue(Comparator.reverseOrder())).limit(topRank)\n\t\t\t .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,\n\t\t\t (oldValue, newValue) -> oldValue, LinkedHashMap::new));\n\n\t\t\t\t scan.close();\n\t\t\t //Alternative way\n\t\t\t //Map<String, Double> result2 = new LinkedHashMap<>();\n\t\t\t //cosineProd.entrySet().stream().sorted(Map.Entry.<String, Double>comparingByValue().reversed()).limit(2).forEachOrdered(x -> result2.put(x.getKey(), x.getValue()));\n\n\t\t\t System.out.println(\"Sorted...\");\n\t\t\t System.out.println(result);\n\t\t\t //System.out.println(result2);\n\t}","public int getAverage() { return (int)Math.ceil(getSumOfMarks()/ numberOfCourses); }","private int scoreCalc(HousingLocation h) {\n\t\tint score = 0;\n\t\tscore += managementScore*h.managementScore;\n\t\tscore += amenitiesScore*h.amenitiesScore;\n\t\tscore += locationScore*h.locationScore;\n\t\tscore += communityChillFactorScore*h.communityChillFactorScore;\n\t\t\n\t\treturn score;\n\t\t\n\t}","private int calculateScore(){\n int score = 0;\n for(Card card : hand){\n score += card.getScore();\n }\n return score;\n }","public double agile(double scrum,double sub,double essay,double exam)\n {\n double a = ((25%100)*scrum)/100;\n double b = ((5%100)*sub)/100;\n double c = ((20%100)*essay)/100;\n double d = ((50%100)*exam)/100;\n double grade = ((a+b+c+d)/8);//*100;\n return grade;\n }","public void updateScore( Realization realization ){\n\t\trealization.setScore( calcScore(realization) ) ;\n\t}","public double computeHeuristicGrade();","public int getTotalScore(){\n return totalScore;\n }","public abstract float getScore();","protected HashMap<String,Double> rank(ArrayList<String> queryPostingLines, ArrayList<String> query){\n HashMap<String,HashMap<String,Integer>> queryWordsTFPerDoc = computeTFForQueryWords(queryPostingLines);\n ArrayList<String> retrievedDocuments = new ArrayList<>(queryWordsTFPerDoc.keySet());\n HashMap<String,Double> rankedDocs = new HashMap<>();\n\n for(String doc : retrievedDocuments){\n HashMap<String,Integer> docTFs = queryWordsTFPerDoc.get(doc);\n double rank = 0.3*rankByBM25(query,doc,docTFs) + 0.7*rankByPosition(query,doc,queryPostingLines);// - rankByCosSim(query,doc,docTFs);\n rankedDocs.put(doc,rank);\n }\n rankedDocs = sortByValue(rankedDocs);\n ArrayList<String> docsAfterSort = new ArrayList<>(rankedDocs.keySet());\n HashMap<String,Double> docsToRetrieve = new HashMap<>();\n int i=0;\n for(String doc: docsAfterSort){\n docsToRetrieve.put(documentDetails.get(doc)[0],rankedDocs.get(doc));\n i++;\n if(i == 50)\n break;\n }\n return docsToRetrieve;\n }","public void give_score(int n){\n final_score=0.25*(n-m.get_m()+1)+0.2*(n-h.get_h()+1)+0.25*(n-l.get_l()+1)+0.3*(n-a.get_a()+1);\r\n }","public float computePhraseScore(int dl, int tf, GlobalStats stats);","int getScore();","@Override\r\n public double Score(int[] leftDist, int[] rightDist) {\r\n return leftDist[Utils.maxIndex(leftDist)] + rightDist[Utils.maxIndex(rightDist)];\r\n }","public ArrayList<Double> computeRanks(ArrayList<String> vertices) {\r\n\t\t// TODO : Add code here\r\n\t\tArrayList<Double> result=new ArrayList<>();\r\n\t\tfor(int i=0;i<vertices.size();i++){\r\n\t\t\tString url=vertices.get(i);\r\n\t\t\tArrayList<String> edges=internet.getEdgesInto(url);\r\n\t\t\tdouble sum= edges.stream().mapToDouble(edge -> internet.getPageRank(edge) / internet.getOutDegree(edge)).sum();\r\n\t\t\tdouble rank=0.5+0.5*sum;\r\n\t\t\tresult.add(i,rank);\r\n\t\t}\r\n\t\treturn result;\r\n\t}","public void computeHistogram() {\n\t}","public double ratioUsersEverWrittenArticle() {\n\t\tcheckAuthority();\n\t\ttry {\n\t\t\treturn this.administratorRepository.ratioUsersEverWrittenArticle();\n\t\t} catch (Exception e) {\n\t\t\treturn 0.;\n\t\t}\n\t}","public static double calculateAnalogyQuality(DirectedGraphAdapter<Concept> mapping)\n\t{\n\t\tList<Concept> schema = SchemaEngine.createSchema(mapping);\n\t\t//sort schema nodes by type (decreasing)\n\t\tCollections.sort(schema, new ConceptTypeComparator());\n\t\tfor(Concept s : schema)\n\t\t{\n\t\t\ts.score += initialMatchScore;\t//TODO could have different initialMatchScores for different concept types, like Forbus & Gentner\n\t\t\t//TODO don't include roles that aren't part of the schema itself! Actually, the role scores aren't included in the final tally; only nodes in the schema are added into the total score\n\t\t\tfor(Concept role : s.roles)\n\t\t\t{\n\t\t\t\tif(role != null && !(role instanceof AnonymousToken))\n\t\t\t\t{\n\t\t\t\t\trole.score += trickleDownFactor*s.score;\t//why does Forbus & Gentner use max{ W(MH2) + delta*W(MH1); 1.0}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\n\t\t//add up all scores from schema nodes\n\t\tdouble totalScore = 0;\n\t\tfor(Concept s : schema)\n\t\t{\n\t\t\ttotalScore += s.score;\n\t\t}\n\t\treturn totalScore;\n\t}","@Override\r\n\tpublic Double getPropensity_loan_score() {\n\t\treturn super.getPropensity_loan_score();\r\n\t}","double agression();","void calcScore() {\n\t\t\tMat points = new Mat(nodes.size(),2,CvType.CV_32FC1);\n\t\t\tMat line = new Mat(4,1,CvType.CV_32FC1);\n\n\t\t\tif(nodes.size() > 2) {\n\t\t\t\t// We know for sure here that the size() is at least 3\n\t\t\t\tfor(int i = 0; i < nodes.size(); i++) {\n\t\t\t\t\tpoints.put(i, 0, nodes.get(i).x);\n\t\t\t\t\tpoints.put(i, 1, nodes.get(i).y);\n\t\t\t\t}\n\t\n\t\t\t\tImgproc.fitLine(points, line, Imgproc.CV_DIST_L2, 0, 0.01, 0.01);\n\t\t\t\tPoint2 lineNormale = new Point2(line.get(0, 0)[0], line.get(1, 0)[0]);\n\t\t\t\tPoint2 linePoint = new Point2(line.get(2, 0)[0], line.get(3, 0)[0]);\n\t\n\t\t\t\tscore = 0;\n\t\t\t\tdouble totalLength = 0;\n\t\t\t\tdouble[] lengths = new double[nodes.size() - 1];\n\t\t\t\tfor(int i = 0; i < nodes.size(); i++) {\n\t\t\t\t\t// First score is the distance from each point to the fitted line\n\t\t\t\t\t// We normalize the distances by the base size so the size doesn't matter\n\t\t\t\t\tscore += Math.abs(nodes.get(i).distanceToLine(linePoint, lineNormale) / base().norm());\n\t\t\t\t\tif(i > 0) {\n\t\t\t\t\t\t// Then the collinearity of the steps with the base\n\t\t\t\t\t\t// That is cosine -> 1.0, where cosine = a dot b / |a|*|b|\n\t\t\t\t\t\tPoint2 step = nodes.get(i).minus(nodes.get(i-1));\n\t\t\t\t\t\tdouble dotProduct = step.dot(base());\n\t\t\t\t\t\tscore += Math.abs(dotProduct/(base().norm()*step.norm()) - 1);\n\t\t\t\t\t\ttotalLength += step.norm();\n\t\t\t\t\t\tlengths[i-1] = step.norm();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Normalize by the number of nodes so the shorter sequences don't have advantage\n\t\t\t\tscore /= nodes.size();\n\t\t\t\t// Add scores (penalties) for missing nodes\n\t\t\t\t// If we divide the total length by the expected number of steps\n\t\t\t\t// the result should be close to the length of the majority of the visible steps \n\t\t\t\tArrays.sort(lengths);\n\t\t\t\tdouble median = lengths.length % 2 == 0\n\t\t\t\t\t\t? (lengths[nodes.size()/2] + lengths[nodes.size()/2-1]) / 2\n\t\t\t\t\t\t: lengths[nodes.size()/2];\n\t\t\t\tscore += Math.abs(median - totalLength/(maxNodes-1)) / median;\n\t\t\t}\n\t\t\telse {\n\t\t\t\t// Two or less nodes is not a chain. So give it the worst score possible \n\t\t\t\tscore = Double.MAX_VALUE;\n\t\t\t}\n\t\t}","private int scoreAuthorMatch(int tag1, int tag2)\n {\n // If they're exactly equal, great.\n if (tag1 == tag2)\n return 100;\n \n // Don't do prefix scanning on short titles.\n String str1 = data.tags.getString(tag1);\n String str2 = data.tags.getString(tag2);\n if (str1.length() < 5 || str2.length() < 5)\n return 0;\n \n // If either is a prefix of the other, we have a match.\n if (str1.startsWith(str2) || str2.startsWith(str1))\n return 100;\n \n // All other cases: fail for now at least.\n return 0;\n }","long getScore();","long getScore();","long getScore();","long getScore();","public int getHomeScore() {\n return homeScore;\n }","public PageRankAnalyzer(ISet<Webpage> webpages, double decay, double epsilon, int limit) {\n // Step 1: Make a graph representing the 'internet'\n IDictionary<URI, ISet<URI>> graph = this.makeGraph(webpages);\n\n // Step 2: Use this graph to compute the page rank for each webpage\n this.pageRanks = this.makePageRanks(graph, decay, limit, epsilon);\n }","@Override\r\n\tpublic int calculax2p(int score, boolean zerou) {\r\n\t\tif(score > getMaiorScore()) {\r\n\t\t\treturn score / 1000;\r\n\t\t}\r\n\t\treturn 0;\r\n\t}","public double computeScore(Params params) {\n score = localScore(params);\n if (children != null)\n for (Derivation child : children)\n score += child.computeScore(params);\n return score;\n }","public int getTotalScore() {\r\n return totalScore;\r\n }","@Override\n public int getScore() {\n return totalScore;\n }","public void normalize(){\n\tstrength = 50;\n\tdefense = 55;\n\tattRating = 0.4\t;\n }","public double getMainPercentage(){return mainPercentage;}","public Double averageArticlesPerNewspaperPublics() {\n\t\tcheckAuthority();\n\t\tDouble a = this.administratorRepository\n\t\t\t\t.averageArticlesPerNewspaperPublics();\n\t\tif (a == null) {\n\t\t\ta = 0.;\n\t\t}\n\t\ttry {\n\t\t\treturn a;\n\t\t} catch (Exception e) {\n\t\t\treturn 0.;\n\t\t}\n\t}","public List<Link> generateControveryScore(ArrayList<Link> linkList) {\n\n for (Link link : linkList) {\n\n link.setControversyScore((link.getTotalVotes()) / Math.max((Math.abs(link.getUpVotes() - link.getDownVotes())), 1));\n links.save(link);\n\n }\n return linkList;\n }","public double getNormalizedCount(String word1, String word2) {\n// double normalizedCount = 0;\n// // YOUR CODE HERE\n// return normalizedCount;\n \n double normalizedCount = 0;\n // YOUR CODE HERE\n if (KnownWord(word1) && KnownWord(word2)) {\n normalizedCount = bi_grams_normalized[NDTokens.indexOf(word1)][NDTokens.indexOf(word2)];\n } else {\n if(smooth) {\n double temp = (!KnownWord(word1)) ? 0 : uni_grams[NDTokens.indexOf(word1)];\n double sum = temp+NDTokens_size;\n normalizedCount = 1/sum;\n }\n }\n return normalizedCount;\n \n }","public List<Link> generateLinkScore(ArrayList<Link> linkList) {\n\n for (Link link : linkList) {\n long difference = ChronoUnit.SECONDS.between(link.getTimeOfCreation(), LocalDateTime.now());\n link.setTimeDiffInSeconds(difference);\n long denominator = (difference + SECONDS_IN_TWO_HOURS);\n // numerator needs to account for personal vote?\n //\n link.setKarma(link.getUpVotes() - link.getDownVotes());\n //get yadalist size from db call instead of link.getYadaList().size\n int count = yadas.countByLink(link);\n link.setLinkScore(((link.getKarma() - count) / (Math.pow(denominator, GRAVITY))));\n links.save(link);\n }\n return linkList;\n }","public abstract double sentimentScore(Message message);"],"string":"[\n \"public double SumOutlinkAuthorityScore(Page page) {\\n\\t\\tList<String> outLinks = page.getOutlinks();\\n\\t\\tdouble authScore = 0;\\n\\t\\tfor (String outLink1 : outLinks) {\\n\\t\\t\\tPage outLink = pTable.get(outLink1);\\n\\t\\t\\tif (outLink != null)\\n\\t\\t\\t\\tauthScore += outLink.authority;\\n\\t\\t}\\n\\t\\treturn authScore;\\n\\t}\",\n \"public List<Page> normalize(List<Page> pages) {\\n\\t\\tdouble hubTotal = 0;\\n\\t\\tdouble authTotal = 0;\\n\\t\\tfor (Page p : pages) {\\n\\t\\t\\t// Sum Hub scores over all pages\\n\\t\\t\\thubTotal += Math.pow(p.hub, 2);\\n\\t\\t\\t// Sum Authority scores over all pages\\n\\t\\t\\tauthTotal += Math.pow(p.authority, 2);\\n\\t\\t}\\n\\t\\t// divide all hub and authority scores for all pages\\n\\t\\tfor (Page p : pages) {\\n\\t\\t\\tif (hubTotal > 0) {\\n\\t\\t\\t\\tp.hub /= hubTotal;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tp.hub = 0;\\n\\t\\t\\t}\\n\\t\\t\\tif (authTotal > 0) {\\n\\t\\t\\t\\tp.authority /= authTotal;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tp.authority = 0;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn pages; // with normalised scores now\\n\\t}\",\n \"public double computePageRank(URI pageUri) {\\n \\treturn this.pageRanks.containsKey(pageUri) ? this.pageRanks.get(pageUri) : 0.0;\\n }\",\n \"private IDictionary<String, Double> computeIdfScores(ISet<Webpage> pages) {\\n\\t\\tidfScores = new ChainedHashDictionary<String, Double>();\\n\\t\\tIDictionary<String, Double> docCount = new ChainedHashDictionary<String, Double>();\\n\\t\\t\\n\\t\\t// Iterates through every webpage and maps all of the unique word counts for that page\\n\\t\\tfor (Webpage page: pages) {\\n\\t\\t\\tIList<String> words = page.getWords();\\n\\t\\t\\tISet<String> keySet = getKeySet(words);\\n\\t\\t\\tfor (String word: keySet) {\\n\\t\\t\\t\\tif (!docCount.containsKey(word)) {\\n\\t\\t\\t\\t\\tdocCount.put(word, 1.0);\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tdocCount.put(word, docCount.get(word) + 1.0);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\tDouble totalDocuments = (double) pages.size();\\n\\t\\t\\n\\t\\t// Updates IDF scores\\n\\t\\tfor (KVPair<String, Double> pair: docCount) {\\n\\t\\t\\tidfScores.put(pair.getKey(), Math.log(totalDocuments / pair.getValue()));\\n\\t\\t}\\n\\t\\treturn idfScores;\\n }\",\n \"public List<Page> hits(String query) {\\n\\t\\t// pages <- EXPAND-PAGES(RELEVANT-PAGES(query))\\n\\t\\tList<Page> pages = expandPages(relevantPages(query));\\n\\t\\t// for each p in pages\\n\\t\\tfor (Page p : pages) {\\n\\t\\t\\t// p.AUTHORITY <- 1\\n\\t\\t\\tp.authority = 1;\\n\\t\\t\\t// p.HUB <- 1\\n\\t\\t\\tp.hub = 1;\\n\\t\\t}\\n\\t\\t// repeat until convergence do\\n\\t\\twhile (!convergence(pages)) {\\n\\t\\t\\t// for each p in pages do\\n\\t\\t\\tfor (Page p : pages) {\\n\\t\\t\\t\\t// p.AUTHORITY <- &Sigma<sub>i</sub> INLINK<sub>i</sub>(p).HUB\\n\\t\\t\\t\\tp.authority = SumInlinkHubScore(p);\\n\\t\\t\\t\\t// p.HUB <- Σ<sub>i</sub> OUTLINK<sub>i</sub>(p).AUTHORITY\\n\\t\\t\\t\\tp.hub = SumOutlinkAuthorityScore(p);\\n\\t\\t\\t}\\n\\t\\t\\t// NORMALIZE(pages)\\n\\t\\t\\tnormalize(pages);\\n\\t\\t}\\n\\t\\treturn pages;\\n\\n\\t}\",\n \"public void computeHubAuth (int..._iterNum) throws IOException\\n\\t{\\n\\t\\tint iterNum;\\n\\t\\tif(_iterNum.length==0) iterNum=10;\\n\\t\\telse iterNum = _iterNum[0];\\n\\t\\t\\n\\t\\t// variable declaration\\n\\t\\tHashtable<String, Object> hubPrev = new Hashtable<String, Object>();\\n\\t\\tVector<String> oneVector;\\n\\t\\tdouble oneWeight;\\n\\t\\tdouble totalHub;\\n\\t\\tdouble totalAuth;\\n\\t\\tdouble totalHubPrev;\\n\\t\\tdouble totalAuthPrev;\\n\\t\\tFastIterator iter;\\n\\t\\tString keyword = null;\\t\\t\\n\\t\\tHTree hubHash;\\n\\t\\tHTree authHash;\\t\\t\\n\\t\\t\\n\\t\\t// initialize all the weights with 1\\n\\t\\ttotalHub = 0;\\n\\t\\ttotalAuth = 0;\\n\\t\\t//iter = pageID.getHash().keys();\\n\\t\\titer = parentLink.getHash().keys();\\n\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t{\\n\\t\\t\\thubWeight.addEntry(keyword, 1.0);\\n\\t\\t\\tauthWeight.addEntry(keyword, 1.0);\\n\\t\\t\\ttotalHub += 1.0 * 1.0;\\n\\t\\t\\ttotalAuth += 1.0 * 1.0;\\n\\t\\t}\\n\\t\\t//System.out.println(\\\"Intialization\\\");\\n\\t\\t//printHubAuth();\\t\\t\\n\\t\\t\\n \\t\\thubHash = hubWeight.getHash();\\n \\t\\tauthHash = authWeight.getHash();\\n \\t\\t\\n \\t\\t//System.out.println(hubHash.keys()==authHash.keys());\\n \\t\\t\\n \\t\\t// iteratively compute the weights\\n\\t\\tfor(int i = 0; i < iterNum; i++)\\n\\t\\t{\\n\\t\\t\\t// store the previous state of hub and authority\\n\\t\\t\\titer = hubHash.keys();\\n\\t\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t\\t\\thubPrev.put(keyword, hubHash.get(keyword));\\n\\t \\t\\ttotalHubPrev = Math.sqrt(totalHub);\\n\\t \\t\\ttotalAuthPrev = Math.sqrt(totalAuth);\\n\\t\\t\\t\\n\\t\\t\\t// compute hubs from normalized previous authWeight, hubWeight\\n\\t \\t\\ttotalHub = 0;\\n\\t\\t\\titer = hubHash.keys();\\n\\t \\t\\t//iter = pageID.getHash().keys();\\n\\t\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t\\t{\\n\\t\\t\\t\\toneVector = (Vector<String>) childLink.getEntry(keyword);\\n\\t\\t\\t\\toneWeight = 0;\\n\\t\\t\\t\\tfor(String oneId: oneVector) \\n\\t\\t\\t\\t\\toneWeight += (Double)authHash.get(oneId);\\n\\t\\t\\t\\toneWeight /= totalHubPrev;\\n\\t\\t\\t\\ttotalHub += oneWeight * oneWeight;\\n\\t\\t\\t\\thubWeight.addEntry(keyword, oneWeight);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// System.out.println(hubHash==hubWeight.getHash());\\n\\t\\t\\t\\n\\t\\t\\t// compute authorities\\n\\t\\t\\ttotalAuth = 0;\\n\\t\\t\\titer = authHash.keys();\\n\\t\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t\\t{\\n\\t\\t\\t\\toneVector = (Vector<String>) parentLink.getEntry(keyword);\\n\\t\\t\\t\\toneWeight = 0;\\n\\t\\t\\t\\tfor(String oneId: oneVector)\\n\\t\\t\\t\\t\\toneWeight += (Double)hubPrev.get(oneId);\\n\\t\\t\\t\\toneWeight /= totalAuthPrev;\\n\\t\\t\\t\\ttotalAuth += oneWeight * oneWeight;\\n\\t\\t\\t\\tauthWeight.addEntry(keyword, oneWeight);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t//System.out.println(\\\"Iteration: \\\"+i);\\n\\t\\t\\t//printHubAuth();\\n\\t\\t}\\n\\t\\t\\n\\t\\t// normalize hub and authority weights\\n\\t\\ttotalHubPrev = Math.sqrt(totalHub);\\n \\t\\ttotalAuthPrev = Math.sqrt(totalAuth);\\n \\t\\titer = parentLink.getHash().keys();\\n \\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t{\\n\\t\\t\\toneWeight = (Double) hubWeight.getEntry(keyword);\\n\\t\\t\\thubWeight.addEntry(keyword, oneWeight/totalHubPrev);\\n\\t\\t\\toneWeight = (Double) authWeight.getEntry(keyword);\\n\\t\\t\\tauthWeight.addEntry(keyword, oneWeight/totalAuthPrev);\\n\\t\\t}\\n \\t\\tprintHubAuth();\\n\\t}\",\n \"public Iterator rankOrdering(Iterator pages)\\n\\t{\\n\\t\\t//Iterator allWebNode = ind.retrievePages(keyword);\\n\\t\\tIterator allWebNode = pages;\\n\\t\\tif(allWebNode.hasNext()){\\n\\t\\t\\tWebNode wb = (WebNode) allWebNode.next();\\n\\t\\t\\tint score = wb.getInDegree() * wb.getWordFreq(keyword);\\n\\t\\t\\twb.keywordScore = score;\\n\\t\\t\\taL.add(wb); \\n\\t\\t}\\n\\t\\t\\n\\t\\twhile (allWebNode.hasNext()) {\\n\\t\\t\\tWebNode nwb = (WebNode) allWebNode.next();\\n\\t\\t\\tint nscore = nwb.getInDegree() * nwb.getWordFreq(keyword);\\n\\t\\t\\tnwb.keywordScore = nscore;\\n\\t\\t\\tint i = 0; \\n\\t\\t\\twhile(i<aL.size()){\\n\\t\\t\\t\\tif (nwb.keywordScore < ((WebNode) aL.get(i)).keywordScore)\\n\\t\\t\\t \\ti++;\\n\\t\\t\\t else\\n\\t\\t\\t \\taL.add(i,nwb);\\n\\t\\t\\t} \\n\\t\\t}\\n\\t\\t\\n\\t\\treturn aL.iterator();\\n\\t}\",\n \"public static int[] mucScore(LeanDocument key, LeanDocument response)\\n{\\n // System.out.println(\\\"==========================================================\\\");\\n // System.out.println(\\\"Key:\\\\n\\\"+key.toStringNoSing()+\\\"\\\\n*************************\\\\nResponse:\\\\n\\\"+response.toStringNoSing());\\n\\n Iterator<TreeMap<Integer, Integer>> goldChains = key.chainIterator();\\n // double mucRecall = 0.0;\\n int mucRecallNom = 0;\\n int mucRecallDenom = 0;\\n while (goldChains.hasNext()) {\\n TreeMap<Integer, Integer> keyChain = goldChains.next();\\n if (keyChain.size() > 1) {\\n int numInt = numIntersect(key, keyChain, response);\\n\\n // int numMatched = getNumMatched(key, keyChain);\\n // if(numMatched>0){\\n // mucRecallNom += numMatched-numInt;\\n mucRecallNom += (keyChain.size() - numInt);\\n // mucRecallDenom += numMatched-1;\\n mucRecallDenom += keyChain.size() - 1;\\n\\n // System.out.println(keyChain+\\\"\\\\n\\\"+(keyChain.size() - numInt)+\\\"/\\\"+(keyChain.size()-1));\\n // }\\n }\\n }\\n int[] result = { mucRecallNom, mucRecallDenom };\\n\\n return result;\\n}\",\n \"protected abstract void calcScores();\",\n \"public abstract double getLinkProbability(int linkId);\",\n \"public int getHomeScore();\",\n \"private float calculateSimilarityScore(int numOfSuspiciousNodesInA, int numOfSuspiciousNodesInB) {\\n\\t\\t// calculate the similarity score\\n\\t\\treturn (float) (numOfSuspiciousNodesInA + numOfSuspiciousNodesInB) \\n\\t\\t\\t\\t/ (programANodeList.size() + programBNodeList.size()) * 100;\\n\\t}\",\n \"@Override\\n\\tprotected List<Double> computeRelatedness(Page page1, Page page2) throws WikiApiException {\\n List<Double> relatednessValues = new ArrayList<Double>();\\n\\n Set<Category> categories1 = relatednessUtilities.getCategories(page1);\\n Set<Category> categories2 = relatednessUtilities.getCategories(page2);\\n\\n if (categories1 == null || categories2 == null) {\\n return null;\\n }\\n\\n Category root = wiki.getMetaData().getMainCategory();\\n // test whether the root category is in this graph\\n if (!catGraph.getGraph().containsVertex(root.getPageId())) {\\n logger.error(\\\"The root node is not part of this graph. Cannot compute Lin relatedness.\\\");\\n return null;\\n }\\n\\n for (Category cat1 : categories1) {\\n for (Category cat2 : categories2) {\\n // get the lowest common subsumer (lcs) of the two categories\\n Category lcs = catGraph.getLCS(cat1, cat2);\\n\\n if (lcs == null) {\\n continue;\\n }\\n\\n // lin(c1,c2) = 2 * ic ( lcs(c1,c2) ) / IC(c1) + IC(c2)\\n double intrinsicIcLcs = catGraph.getIntrinsicInformationContent(lcs);\\n double intrinsicIcCat1 = catGraph.getIntrinsicInformationContent(cat1);\\n double intrinsicIcCat2 = catGraph.getIntrinsicInformationContent(cat2);\\n\\n double relatedness = 0.0;\\n if (intrinsicIcCat1 != 0 && intrinsicIcCat2 != 0) {\\n relatedness = 2 * intrinsicIcLcs / (intrinsicIcCat1 + intrinsicIcCat2);\\n }\\n\\n relatednessValues.add(relatedness);\\n }\\n }\\n\\n logger.debug(relatednessValues);\\n return relatednessValues;\\n }\",\n \"public void calculateScore() {\\n for (Sequence seq: currentSeq) {\\n double wordWeight = Retriever.getWeight(seq);\\n String token = seq.getToken();\\n int size = seq.getRight() - seq.getLeft() + 1;\\n int titleCount = getCount(token.toLowerCase(), title.toLowerCase());\\n if (titleCount != 0) {\\n setMatch(size);\\n setTitleContains(true);\\n }\\n int lowerCount = getCount(token.toLowerCase(), lowerContent);\\n if (lowerCount == 0) {\\n// scoreInfo += \\\"Token: \\\" + token + \\\" Original=0 Lower=0 WordWeight=\\\" + wordWeight + \\\" wordTotal=0\\\\n\\\";\\n continue;\\n }\\n int originalCount = getCount(token, content);\\n lowerCount = lowerCount - originalCount;\\n if (lowerCount != 0 || originalCount != 0) {\\n setMatch(size);\\n }\\n double originalScore = formula(wordWeight, originalCount);\\n double lowerScore = formula(wordWeight, lowerCount);\\n final double weight = 1.5;\\n double addedScore = weight * originalScore + lowerScore;\\n// scoreInfo += \\\"Token: \\\" + token + \\\" Original=\\\" + originalScore + \\\" Lower=\\\" + lowerScore +\\n// \\\" WordWeight=\\\" + wordWeight + \\\" wordTotal=\\\" + addedScore + \\\"\\\\n\\\";\\n dependencyScore += addedScore;\\n }\\n currentSeq.clear();\\n }\",\n \"public Double computeRelevance(IList<String> query, URI pageUri) {\\n\\t if (query == null || pageUri == null) {\\n\\t\\t throw new NullPointerException();\\n\\t }\\n\\t \\n IDictionary<String, Double> documentVector = documentTfIdfVectors.get(pageUri);\\n IDictionary<String, Double> queryTfScores = computeTfScores(query);\\n IDictionary<String, Double> queryVector = new ChainedHashDictionary<String, Double>();\\n Double numerator = 0.0;\\n \\n for (KVPair<String, Double> pair: queryTfScores) {\\n\\t \\t\\tDouble queryWordScore = 0.0;\\n\\t \\t\\tDouble docWordScore = 0.0;\\n\\t \\t\\tif (idfScores.containsKey(pair.getKey())) {\\t\\n\\t \\t\\t queryWordScore = queryTfScores.get(pair.getKey()) * idfScores.get(pair.getKey());\\n\\t \\t\\t}\\n \\t\\t\\tqueryVector.put(pair.getKey(), queryWordScore);\\n\\t \\t\\tif (documentVector.containsKey(pair.getKey())) {\\n\\t \\t\\t\\tdocWordScore = documentVector.get(pair.getKey());\\n\\t \\t\\t} \\n\\t \\t\\tnumerator += queryWordScore * docWordScore;\\n } \\n \\n Double denominator = docDenomScore.get(pageUri) * norm(queryVector);\\n \\n // A check to avoid division by zero\\n if (denominator != 0.0) {\\n \\t\\t return numerator / denominator;\\n } else {\\n return 0.0;\\n }\\n }\",\n \"@Override public double compute(BindRecord neoBindRecord, BindRecord selfBindRecord) {\\n // Affinity is expressed as an IC50 concentration:\\n // peptides with a lower IC50 bind more strongly, so we\\n // invert the ratio relative to the stability model...\\n //\\n double neoAffinity = neoBindRecord.getAffinity();\\n double selfAffinity = selfBindRecord.getAffinity();\\n\\n return DoubleUtil.log2(selfAffinity / neoAffinity);\\n }\",\n \"protected abstract double relevantScore(Tweet tweet);\",\n \"public double calculatePageRelevance(String query, Page page) {\\n\\t\\tdouble relevance = 0;\\n\\t\\tString pageText = SearchUtils.cleanQuery(page.toString());\\n\\t\\tFrequencyMap frequencyMap = SearchUtils.countWords(pageText);\\n\\t\\tString[] terms = query.split(\\\" \\\");\\n\\t\\tfor (String term : terms) {\\n\\t\\t\\trelevance += frequencyMap.get(term);\\n\\t\\t\\trelevance /= frequencyMap.getWordCount();\\n\\t\\t}\\n\\t\\treturn relevance;\\n\\t}\",\n \"private void htmlGlobalTagStatistics() throws MalformedURLException {\\n\\t\\tfinal List<String> anchorLinks = new ArrayList<>();\\n\\t\\tfinal List<String> imgLinks = new ArrayList<>();\\n\\t\\tfinal List<String> anchorImgLinks = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbImgGif = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbScriptOutside = new ArrayList<>();\\n\\t\\thtmlParsed.traverse(new NodeVisitor(){\\n\\t\\t\\tString attributeValue = \\\"\\\";\\n\\t\\t\\tpublic void head(Node node, int depth){\\n\\t\\t\\t\\tif (node instanceof Element){\\n\\t\\t\\t\\t\\tElement tag = (Element) node;\\n\\t\\t\\t\\t\\tif(tag.tagName().equals(\\\"a\\\")){\\n\\t\\t\\t\\t\\t\\tattributeValue = tag.attr(\\\"href\\\");\\n\\t\\t\\t\\t\\t\\tif(attributeValue.length() > 0) {\\n\\t\\t\\t\\t\\t\\t\\tanchorLinks.add(attributeValue);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"img\\\")){\\n\\t\\t\\t\\t\\t\\tattributeValue = tag.attr(\\\"src\\\");\\n\\t\\t\\t\\t\\t\\tif(attributeValue.length() > 0){\\n\\t\\t\\t\\t\\t\\t\\timgLinks.add(attributeValue);\\n\\t\\t\\t\\t\\t\\t\\tif(attributeValue.endsWith(\\\".gif\\\")){\\n\\t\\t\\t\\t\\t\\t\\t\\tcountNbImgGif.add(1);\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\tif(tag.parent().tagName().equals(\\\"a\\\")) {\\n\\t\\t\\t\\t\\t\\t\\t\\tanchorImgLinks.add(attributeValue);\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"script\\\")){\\n\\t\\t\\t\\t\\t\\tattributeValue = tag.attr(\\\"src\\\");\\n\\t\\t\\t\\t\\t\\tif(attributeValue.length() > 0)\\n\\t\\t\\t\\t\\t\\t\\tcountNbScriptOutside.add(1);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t public void tail(Node node, int depth) {\\n\\t\\t }\\n\\t\\t});\\t\\n\\t\\t\\n\\t\\tint nbYearImgLink = anchorImgLinks.stream()\\n\\t\\t\\t\\t.mapToInt(ClassificationGeneralFunctions::countNbOfYears)\\n\\t\\t\\t\\t.sum();\\n\\t\\t\\t\\t\\n\\t\\tint nbYearAnchorLink = 0;\\n\\t\\tint nbLinkSameDomain = 0;\\n\\t\\tint nbLinkOutside = 0;\\n\\t\\tint nbHrefJavascript = 0;\\n\\t\\tString domain = new URL(url).getHost().toLowerCase();\\n\\t\\tfor(String link: anchorLinks){\\n\\t\\t\\tlink = link.toLowerCase();\\n\\t\\t\\tnbYearAnchorLink += ClassificationGeneralFunctions.countNbOfYears(link);\\n\\t\\t\\tif(link.startsWith(\\\"http\\\")){\\n\\t\\t\\t\\tif(link.contains(domain)) {\\n\\t\\t\\t\\t\\tnbLinkSameDomain += 1;\\n\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\tnbLinkOutside += 1;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\telse{\\n\\t\\t\\t\\tif(link.startsWith(\\\"javascript\\\")){\\n\\t\\t\\t\\t\\tnbHrefJavascript += 1;\\n\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\tnbLinkSameDomain += 1;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\thtmlStatistics.put(\\\"img\\\", (double) imgLinks.size());\\n\\t\\thtmlStatistics.put(\\\"img_gif\\\",(double) countNbImgGif.size());\\n\\t\\thtmlStatistics.put(\\\"script_outside\\\", (double) countNbScriptOutside.size());\\n\\t\\thtmlStatistics.put(\\\"anchor_with_image\\\", (double) anchorImgLinks.size());\\n\\t\\thtmlStatistics.put(\\\"year_link_img\\\", (double) nbYearImgLink);\\n\\t\\thtmlStatistics.put(\\\"year_link_anchor\\\", (double) nbYearAnchorLink);\\n\\t\\thtmlStatistics.put(\\\"links_same_domains\\\", (double) nbLinkSameDomain);\\n\\t\\thtmlStatistics.put(\\\"links_to_outside\\\", (double) nbLinkOutside);\\n\\t\\thtmlStatistics.put(\\\"href_javascript\\\", (double) nbHrefJavascript);\\n\\t}\",\n \"void hashLexicons(Email email) {\\n for (String s : email.processedMessage.keySet()) {\\n int tempCount = email.processedMessage.get(s);\\n \\n if(email.ec==EmailClass.ham)\\n {\\n totalNumberOfWordsInHamDocuments= totalNumberOfWordsInHamDocuments+tempCount;\\n }\\n else\\n {\\n totalNumberOfWordsInSpamDocuments = totalNumberOfWordsInSpamDocuments +tempCount;\\n }\\n //totalNumberOfWords = totalNumberOfWords + tempCount;\\n if (words.containsKey(s)) {\\n LexiconCount lc = words.get(s);\\n long hc = lc.numberOfOccurencesInHamDocuments;\\n long sc = lc.numberOfOccurencesInSpamDocuments;\\n\\n if (email.ec == EmailClass.ham) {\\n hc = hc + tempCount;\\n } else {\\n sc = sc + tempCount;\\n }\\n words.put(s, new LexiconCount(hc, sc));\\n } else {\\n long hc=0,sc=0;\\n if(email.ec==EmailClass.ham)\\n {\\n hc=tempCount;\\n }\\n else\\n {\\n sc=tempCount;\\n }\\n words.put(s, new LexiconCount(hc,sc));\\n }\\n }\\n }\",\n \"public ScoreReduction (Score score)\\r\\n {\\r\\n this.score = score;\\r\\n\\r\\n for (TreeNode pn : score.getPages()) {\\r\\n Page page = (Page) pn;\\r\\n pages.put(page.getIndex(), page);\\r\\n }\\r\\n }\",\n \"double calculateScore(String documentId);\",\n \"public double getHitsPercentual()\\n\\t{\\n\\t\\t//Convert int to double values\\n\\t\\tdouble doubleHits = hits;\\n\\t\\tdouble doubleTotalProcessedStops = totalProcessedStops;\\n\\t\\t\\n\\t\\t//Hits percentual obtained by Jsprit algorithm\\n\\t\\treturn Math.round(100 * (doubleHits / doubleTotalProcessedStops));\\n\\t}\",\n \"protected double totalRelevance(Double rel1, Double rel2) {\\n\\t\\t// simple starting place: relevance is the sum of the term frequencies.\\n\\t\\treturn rel1 + rel2;\\n\\t}\",\n \"private void histogramScore() {\\r\\n View.histogram(score, 0, this.getSize().width + 15, 0);\\r\\n }\",\n \"private void calculateIndividual(Instructor instructor)\\n {\\n \\tint score = 0;\\n \\tInstructor courseInstructor;\\n \\tCourse course;\\n \\t\\n \\tint prefNum = 0;\\n \\tint numCourses = 0;\\n \\t\\n \\tint timeNum = 0;\\n \\t\\n \\tList<CoursePreference> coursePrefs = instructor.getAllClassPrefs();\\t\\n \\tArrayList<Day> timePrefs = instructor.getTimePrefs(); \\n \\t\\n \\tfor (Section section : sections) {\\n \\t\\tcourseInstructor = section.getInstructor();\\n \\t\\t\\n \\t\\tif (courseInstructor.equals(instructor)) {\\n \\t\\t numCourses++;\\n \\t\\t course = section.getCourse();\\n \\t\\t \\n \\t\\t for (CoursePreference pref : coursePrefs) {\\n \\t\\t\\t if (pref.course.equals(course)) {\\n \\t\\t\\t\\t prefNum += pref.preference / 5;\\n \\t\\t\\t }\\n \\t\\t }\\n \\t\\t}\\n \\t}\\n \\t\\n \\tif (numCourses > 0) {\\n \\t\\tprefNum /= numCourses;\\n \\t\\ttimeNum /= numCourses;\\n \\t}\\n \\t\\n \\tscore = 100 * (prefNum + timeNum) / 2;\\n \\t\\n this.individualAnalytics.add(new AnalyticsRow(instructor.getName(), score));\\n allScores.add(score);\\n }\",\n \"@Override\\n public double score(Document document) {\\n Set<String> allDocTerms = documentsTerms.termsExtractedFromDocument(document).allTerms();\\n\\n //keeping only the query terms that are in the document\\n Collection<String> relevantTerms = new LinkedHashSet<>(query);\\n relevantTerms.retainAll(allDocTerms);\\n\\n //compute score using a sum formula on each query term\\n int docLength = termsOccurences.get(document).totalNumberOfOccurences();\\n double score = 0.0;\\n for (String term : relevantTerms) {\\n double termIDF = idf.weight(term);\\n double termTF = tf.weight(term, document);\\n\\n score += termIDF * (termTF * (k1 + 1)) / (termTF + k1 * (1 - b + b * (docLength / averageDocLength)));\\n }\\n\\n return score;\\n }\",\n \"private void tagInHeadStatistics(){\\n\\t\\tfinal List<Integer> countNbLinkHead = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbCssHead = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbScriptHead = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbCssLinkHead = new ArrayList<>();\\n\\t\\tElement head = htmlParsed.select(\\\"head\\\").first();\\n\\t\\thead.traverse(new NodeVisitor(){\\n\\t\\t\\tString attributeValue = \\\"\\\"; \\n\\t\\t\\tpublic void head(Node node, int depth){\\n\\t\\t\\t\\tif (node instanceof Element){\\n\\t\\t\\t\\t\\tElement tag = (Element) node;\\n\\t\\t\\t\\t\\tif(tag.tagName().equals(\\\"script\\\"))\\n\\t\\t\\t\\t\\t\\tcountNbScriptHead.add(1);\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"style\\\"))\\n\\t\\t\\t\\t\\t\\tcountNbCssHead.add(1);\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"link\\\")){\\n\\t\\t\\t\\t\\t\\tcountNbLinkHead.add(1);\\n\\t\\t\\t\\t\\t\\tattributeValue = tag.attr(\\\"rel\\\");\\n\\t\\t\\t\\t\\t\\tif(attributeValue.equals(\\\"stylesheet\\\"))\\n\\t\\t\\t\\t\\t\\t\\tcountNbCssLinkHead.add(1);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tpublic void tail(Node node, int depth) {\\n\\t\\t }\\n\\t\\t});\\n\\t\\thtmlStatistics.put(\\\"link_head\\\",(double) countNbLinkHead.size());\\n\\t\\thtmlStatistics.put(\\\"css_code_head\\\", (double) countNbCssHead.size());\\n\\t\\thtmlStatistics.put(\\\"script_tag_head\\\", (double) countNbScriptHead.size());\\n\\t\\thtmlStatistics.put(\\\"link_css_head\\\", (double) countNbCssLinkHead.size());\\n\\t}\",\n \"public void hitAlienScore() {\\r\\n //Add 5 to the score\\r\\n score += 5;\\r\\n System.out.println(\\\"Current Score = \\\"+score);\\r\\n }\",\n \"@Override\\n public void collectionProcessComplete(ProcessTrace arg0) throws ResourceProcessException,\\n IOException {\\n\\n super.collectionProcessComplete(arg0);\\n sortSimilarity(coslist);\\n log(coslist);\\n int rank=findRank(coslist,goldcos);\\n rankList.add(rank);\\n coslist = new ArrayList<Double>();\\n // TODO :: compute the cosine similarity measure\\n\\n // TODO :: compute the rank of retrieved sentences\\n\\n for (Integer i : rankList) {\\n System.out.println(\\\"\\\" + i);\\n }\\n\\n // TODO :: compute the metric:: mean reciprocal rank\\n double metric_mrr = compute_mrr();\\n System.out.println(\\\" (MRR) Mean Reciprocal Rank ::\\\" + metric_mrr);\\n }\",\n \"public void reduce ()\\r\\n {\\r\\n if (score.getPages().isEmpty()) {\\r\\n return;\\r\\n }\\r\\n\\r\\n /* Connect parts across the pages */\\r\\n connection = PartConnection.connectScorePages(pages);\\r\\n\\r\\n // Force the ids of all ScorePart's\\r\\n numberResults();\\r\\n\\r\\n // Create score part-list and connect to pages and systems parts\\r\\n addPartList();\\r\\n\\r\\n // Debug: List all candidates per result\\r\\n if (logger.isDebugEnabled()) {\\r\\n dumpResultMapping();\\r\\n }\\r\\n }\",\n \"@Override\\n\\tpublic double getTotalScore() {\\n\\t\\treturn score;\\n\\t}\",\n \"public double getScore() {\\n int as = this.attributes.size(); // # of attributes that were matched\\n\\n // we use thresholding ranking approach for numInstances to influence the matching score\\n int instances = this.train.numInstances();\\n int inst_rank = 0;\\n if (instances > 100) {\\n inst_rank = 1;\\n }\\n if (instances > 500) {\\n inst_rank = 2;\\n }\\n\\n return this.p_sum + as + inst_rank;\\n }\",\n \"public double averageArticlesPerUser() {\\n\\t\\tcheckAuthority();\\n\\t\\ttry {\\n\\t\\t\\treturn this.administratorRepository.averageArticlesPerUser();\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\treturn 0.;\\n\\t\\t}\\n\\n\\t}\",\n \"public double web(double html,double javascript,double mySQL,double php,double webExam)\\n {\\n double a = ((10%100)*html)/100;\\n double b = ((15%100)*javascript)/100;\\n double c = ((12.5%100)*mySQL)/100;\\n double d = ((12.5%100)*php)/100;\\n double e = ((50%100)*webExam)/100;\\n double grade = ((a+b+c+d+e)/8);//*100;\\n return grade;\\n }\",\n \"public static void main( String args[] ) throws Exception\\n\\t{\\n\\t\\t\\tBufferedReader infile = new BufferedReader( new FileReader( \\\"ExamScores.txt\\\" ) );\\n\\n\\t\\t\\t// you declare all needed ArrayLists and other variables from here on.\\n\\t\\t\\tArrayList<String> lines = new ArrayList<String>();\\n\\n\\t\\t\\tSystem.out.println(\\\"\\\\nSTEP #1: 50%\\\"); // 50%\\n\\t\\t\\twhile (infile.ready()) {\\n\\t\\t\\t\\tString line = infile.readLine();\\n\\t\\t\\t\\tSystem.out.println(line);\\n\\t\\t\\t\\tlines.add(line);\\n\\t\\t\\t}\\n\\t\\t\\tinfile.close();\\n\\n\\n\\t\\t\\tSystem.out.println(\\\"\\\\nSTEP #2: 25%\\\"); // 75 %\\n\\t\\t\\tCollections.sort(lines);\\n\\t\\t\\tfor (String s: lines)\\n\\t\\t\\t\\tSystem.out.println(s);\\n\\n\\t\\t\\tSystem.out.println(\\\"\\\\nSTEP #3: 10%\\\"); // 85%\\n\\n\\t\\t\\tTreeMap<String, ArrayList<Integer>> st2sc = new TreeMap<String, ArrayList<Integer>>();\\n\\t\\t\\tTreeMap<Double, String> ave2st = new TreeMap<Double, String>();\\n\\t\\t\\tint[] sum = new int[lines.get(0).split(\\\"\\\\\\\\s+\\\").length-1];\\n\\t\\t\\t\\n\\t\\t\\tinfile = new BufferedReader ( new FileReader(\\\"query.txt\\\") );\\n\\t\\t\\tString[] queryS= infile.readLine().split(\\\" \\\");\\n\\t\\t\\tint[] query = new int[queryS.length];\\n\\t\\t\\tfor (int i=0; i<queryS.length; i++)\\n\\t\\t\\t\\tquery[i]=Integer.parseInt(queryS[i]);\\n\\t\\t\\tfor (String s: lines)\\n\\t\\t\\t{\\t\\n\\t\\t\\t\\tdouble sumq = 0;\\n\\t\\t\\t\\tdouble aveq = 0;\\n\\t\\t\\t\\tString[] tokens = s.split(\\\"\\\\\\\\s+\\\");\\n\\t\\t\\t\\tArrayList<Integer> scores = new ArrayList<Integer>();\\n\\t\\t\\t\\tfor (int t=1; t<tokens.length; t++){\\n\\t\\t\\t\\t\\tscores.add(Integer.parseInt(tokens[t]));\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tst2sc.put(tokens[0], scores);\\n\\t\\t\\t\\tfor (int q: query)\\n\\t\\t\\t\\t\\tsumq += Integer.parseInt(tokens[q]);\\n\\t\\t\\t\\tfor (int nth = 0; nth<sum.length; nth++){\\n\\t\\t\\t\\t\\tsum[nth]+= Integer.parseInt(tokens[nth+1]);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\taveq = sumq/3;\\n\\t\\t\\t\\tave2st.put(aveq, tokens[0]);\\n\\t\\t\\t}\\n\\t\\t\\tfor (double f: ave2st.keySet())\\n\\t\\t\\t\\tSystem.out.printf(ave2st.get(f)+\\\" \\\"+\\\"%.2f\\\\n\\\", f);\\n\\n\\t\\t\\tSystem.out.println(\\\"\\\\nSTEP #4: 15%\\\"); // 100%\\n\\t\\t\\t\\n\\t\\t\\tint lowest = sum[0];\\n\\t\\t\\tint which = 0;\\n\\t\\t\\tfor (int i=1; i<sum.length; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif (sum[i]<lowest)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tlowest = sum[i];\\n\\t\\t\\t\\t\\twhich = i;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println(\\\"exam\\\"+(which+1)+\\\" had the lowest average\\\");\\n\\n\\n\\t}\",\n \"protected abstract List<Double> calcScores();\",\n \"public double averageFollowupsPerArticle() {\\n\\t\\tcheckAuthority();\\n\\t\\ttry {\\n\\t\\t\\treturn this.administratorRepository.averageFollowupsPerArticle();\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\treturn 0.;\\n\\t\\t}\\n\\n\\t}\",\n \"@Override\\n\\tprotected double evaluate(final IChromosome a_subject) {\\n\\n\\t\\tdouble s = 0;\\n\\n\\t\\t// Get the genes represented by the chromosome\\n\\t\\tGene[] genes = a_subject.getGenes();\\n\\n\\t\\t// Iterate through each of those genes\\n\\t\\tfor (int i = 0; i < genes.length - 1; i++) {\\n\\n\\t\\t\\t// Add all of the edge distances in the chromosome\\n\\t\\t\\ts += m_salesman.distance(genes[i], genes[i + 1]);\\n\\t\\t}\\n\\n\\t\\t// add cost of coming back:\\n\\t\\ts += m_salesman.distance(genes[genes.length - 1], genes[0]);\\n\\t\\treturn s;\\n\\t}\",\n \"private void shareTotalScore(String typeOfShare) {\\n final String fbType = getResources().getString(R.string.action_share_on_facebook);\\n\\n if (typeOfShare.equals(fbType)) {\\n // Share total score on Facebook social network\\n shareOnFacebook();\\n } else {\\n // Share total score on P2A web\\n shareOnP2A();\\n }\\n }\",\n \"private void calculateOverall()\\n {\\n ArrayList<Integer> average = new ArrayList<Integer>(1);\\n ArrayList<Integer> median = new ArrayList<Integer>(1);\\n ArrayList<Integer> mode = new ArrayList<Integer>();\\n ArrayList<Integer> stdDev = new ArrayList<Integer>(1);\\n \\n int avg = 0;\\n int med = 90;\\n int mod = 90;\\n int dev = 0;\\n \\n int[] modeArray = new int[100];\\n \\n for (int i = 0; i < 100; i++) {\\n \\tmodeArray[i] = 0;\\n }\\n \\n for (Integer score : allScores) {\\n \\tavg += score;\\n \\tmodeArray[score]++;\\n }\\n \\n for (int i = 0; i < 100; i++) {\\n \\tif (modeArray[i] > mod) {\\n \\t\\tmod = modeArray[i];\\n \\t}\\n }\\n \\n avg = avg / allScores.size();\\n \\n Collections.sort(allScores);\\n med = allScores.get(allScores.size() / 2);\\n \\n for (Integer score : allScores) {\\n \\tdev += Math.pow(score - avg, 2);\\n }\\n dev = (int)Math.floor(Math.sqrt(dev / allScores.size()));\\n\\n // TODO: Perform the actual calculations here\\n average.add(avg);\\n median.add(med);\\n mode.add(mod);\\n stdDev.add(dev);\\n\\n this.overallAnalytics.put(\\\"Average\\\", average);\\n this.overallAnalytics.put(\\\"Median\\\", median);\\n this.overallAnalytics.put(\\\"Mode\\\", mode);\\n this.overallAnalytics.put(\\\"Standard Deviation\\\", stdDev);\\n }\",\n \"private Double calculateMatchScore(String query, ConceptMap matchedMapping) {\\n return 10000d;\\n }\",\n \"private double getScore() {\\n double score = 0;\\n score += getRBAnswers(R.id.radiogroup1, R.id.radiobutton_answer12);\\n score += getRBAnswers(R.id.radiogroup2, R.id.radiobutton_answer21);\\n score += getRBAnswers(R.id.radiogroup3, R.id.radiobutton_answer33);\\n score += getRBAnswers(R.id.radiogroup4, R.id.radiobutton_answer41);\\n score += getCBAnswers();\\n score += getTextAns();\\n score = Math.round(score / .0006);\\n score = score / 100;\\n return score;\\n }\",\n \"public int totalScore() {\\n return 0;\\n }\",\n \"public double getPercentageIdentity(ValueEdge edge) {\\n\\t\\tPair<HitVertex> pair = this.getEndpoints(edge);\\n\\t\\tSubHit subHit[] = edge.getSubHit();\\n\\t\\tint identitiesSum = 0;\\n\\t\\tint lengthSum = 0;\\n\\t\\tfor (int i = 0; i < subHit.length; i++) {\\n\\t\\t\\tidentitiesSum += subHit[i].getNumberOfIdentities();\\n\\t\\t\\tlengthSum += Math.max(\\n\\t\\t\\t\\t\\tsubHit[i].getQuerySequenceEnd()\\n\\t\\t\\t\\t\\t\\t\\t- subHit[i].getQuerySequenceStart(),\\n\\t\\t\\t\\t\\tsubHit[i].getSubjectSequenceEnd()\\n\\t\\t\\t\\t\\t\\t\\t- subHit[i].getSubjectSequenceStart());\\n\\t\\t}\\n\\n\\t\\treturn identitiesSum * 100.0 / lengthSum;\\n\\t}\",\n \"public int getInstabilityScore();\",\n \"public void calcAvg(){\\n\\t\\taverage = hits/atbat;\\n\\t\\t\\n\\t}\",\n \"@Override\\n public int accion() {\\n return this.alcance*2/3*3;\\n }\",\n \"public byte score() {\\n\\t\\tbyte score = 0;\\n\\t\\t\\n\\t\\tfor (byte r = 0; r < b.length; r++) {\\n\\t\\t\\tfor (byte c = 0; c < b[r].length; c++) {\\n\\t\\t\\t\\tif (b[r][c].getSide()) {\\n\\t\\t\\t\\t\\tscore += (b[r][c]).getValue();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t\\telse {\\n\\t\\t\\t\\t\\tscore -= (b[r][c]).getValue();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn score;\\n\\t}\",\n \"private double calcScorePercent() {\\n\\t\\tdouble adjustedLab = totalPP * labWeight;\\n\\t\\tdouble adjustedProj = totalPP * projWeight;\\n\\t\\tdouble adjustedExam = totalPP * examWeight;\\n\\t\\tdouble adjustedCodeLab = totalPP * codeLabWeight;\\n\\t\\tdouble adjustedFinal = totalPP * finalWeight;\\n\\n\\t\\tlabScore = (labScore / labPP) * adjustedLab;\\n\\t\\tprojScore = (projScore / projPP) * adjustedProj;\\n\\t\\texamScore = (examScore / examPP) * adjustedExam;\\n\\t\\tcodeLabScore = (codeLabScore / codeLabPP) * adjustedCodeLab;\\n\\t\\tfinalExamScore = (finalExamScore / finalExamPP) * adjustedFinal;\\n\\n//\\t\\tdouble labPercent = labScore / adjustedLab;\\n//\\t\\tdouble projPercent = projScore / adjustedProj;\\n//\\t\\tdouble examPercent = examScore / adjustedExam;\\n//\\t\\tdouble codeLabPercent = codeLabScore / adjustedCodeLab;\\n//\\t\\tdouble finalPercent = finalExamScore / adjustedFinal;\\n\\n\\t\\tdouble totalPercent = (labScore + projScore + examScore + codeLabScore + finalExamScore) / totalPP;\\n\\t\\t\\n\\t\\tscorePercent = totalPercent;\\n\\t\\t\\n\\t\\treturn totalPercent;\\n\\t}\",\n \"public void calculate(Set<Article> articles) {\\n \\n Set<ArticleDocument> articleDocuments = new HashSet<>();\\n for (Article article : articles) {\\n articleDocuments.add(article.getDocument());\\n }\\n \\n VSMDocument positiveWords = new TextDocument(\\\"positive_words.txt\\\");\\n VSMDocument negativeWords = new TextDocument(\\\"negative_words.txt\\\");\\n \\n ArrayList<VSMDocument> documents = new ArrayList<VSMDocument>();\\n documents.add(positiveWords);\\n documents.add(negativeWords);\\n documents.addAll(articleDocuments);\\n \\n Corpus corpus = new Corpus(documents);\\n \\n VectorSpaceModel vectorSpace = new VectorSpaceModel(corpus);\\n \\n double totalPositive = 0;\\n double totalNegative = 0;\\n \\n \\n for(ArticleDocument articleDoc : articleDocuments) {\\n VSMDocument doc = (VSMDocument) articleDoc;\\n System.out.println(\\\"\\\\nComparing to \\\" + doc);\\n double positive = vectorSpace.cosineSimilarity(positiveWords, doc);\\n double negative = vectorSpace.cosineSimilarity(negativeWords, doc);\\n System.out.println(\\\"Positive: \\\" + positive);\\n System.out.println(\\\"Negative: \\\" + negative);\\n if (!Double.isNaN(positive)) {\\n totalPositive += positive;\\n }\\n if (!Double.isNaN(negative)) {\\n totalNegative += negative;\\n }\\n double difference = positive - negative;\\n if (difference >= 0) {\\n System.out.println(\\\"More positive by \\\" + difference);\\n } else {\\n System.out.println(\\\"More negative by \\\" + Math.abs(difference));\\n }\\n \\n if (positive >= mostPositive) {\\n mostPositive = positive;\\n mostPositiveDoc = doc;\\n }\\n if (negative >= mostNegative) {\\n mostNegative = negative;\\n mostNegativeDoc = doc;\\n }\\n if (Math.abs(difference) >= Math.abs(biggestDifference)) {\\n biggestDifference = difference;\\n biggestDifferenceDoc = doc;\\n }\\n \\n String publisher = articleDoc.getPublisher();\\n String region = articleDoc.getRegion();\\n LocalDate day = articleDoc.getDate().toLocalDate();\\n DayOfWeek weekday = day.getDayOfWeek();\\n if (!Double.isNaN(positive)) {\\n if (publisherOptimism.containsKey(publisher)) {\\n publisherOptimism.get(publisher).add(positive);\\n } else {\\n publisherOptimism.put(publisher, new LinkedList<Double>());\\n publisherOptimism.get(publisher).add(positive);\\n }\\n \\n if (publisherPessimism.containsKey(publisher)) {\\n publisherPessimism.get(publisher).add(negative);\\n } else {\\n publisherPessimism.put(publisher, new LinkedList<Double>());\\n publisherPessimism.get(publisher).add(negative);\\n }\\n \\n if (regionOptimism.containsKey(region)) {\\n regionOptimism.get(region).add(positive);\\n } else {\\n regionOptimism.put(region, new LinkedList<Double>());\\n regionOptimism.get(region).add(positive);\\n }\\n \\n if (regionPessimism.containsKey(region)) {\\n regionPessimism.get(region).add(negative);\\n } else {\\n regionPessimism.put(region, new LinkedList<Double>());\\n regionPessimism.get(region).add(negative);\\n }\\n \\n if (dayOptimism.containsKey(day)) {\\n dayOptimism.get(day).add(positive);\\n } else {\\n dayOptimism.put(day, new LinkedList<Double>());\\n dayOptimism.get(day).add(positive);\\n }\\n \\n if (dayPessimism.containsKey(day)) {\\n dayPessimism.get(day).add(negative);\\n } else {\\n dayPessimism.put(day, new LinkedList<Double>());\\n dayPessimism.get(day).add(negative);\\n }\\n \\n if (weekdayOptimism.containsKey(weekday)) {\\n weekdayOptimism.get(weekday).add(positive);\\n } else {\\n weekdayOptimism.put(weekday, new LinkedList<Double>());\\n weekdayOptimism.get(weekday).add(positive);\\n }\\n \\n if (weekdayPessimism.containsKey(weekday)) {\\n weekdayPessimism.get(weekday).add(negative);\\n } else {\\n weekdayPessimism.put(weekday, new LinkedList<Double>());\\n weekdayPessimism.get(weekday).add(negative);\\n }\\n }\\n }\\n \\n size = articleDocuments.size();\\n avgPositive = totalPositive / size;\\n avgNegative = totalNegative / size;\\n printInfo();\\n }\",\n \"int definePassingScore(Speciality speciality) throws LogicException;\",\n \"double calcScoreFromObjCount(double[] c_in, double[] c_out) {\\r\\n\\t\\t// / multi-class\\r\\n\\t\\tdouble diff, sum = 0, max_val = Double.NEGATIVE_INFINITY, min_val = Double.POSITIVE_INFINITY;\\r\\n\\t\\tfor (int i = 0; i < num_class; i++) {\\r\\n\\t\\t\\tdiff = (c_in[i] - c_out[i]);\\r\\n\\t\\t\\tif (diff > max_val) {\\r\\n\\t\\t\\t\\tmax_val = diff;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tif (diff < min_val) {\\r\\n\\t\\t\\t\\tmin_val = diff;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tsum += Math.abs(diff);\\r\\n\\t\\t}\\r\\n\\t\\treturn (sum - Math.abs(max_val) - Math.abs(min_val)) + Math.abs(max_val - min_val);\\r\\n\\t}\",\n \"public double getScore() {\\n double compositeScore = this.normaliseViewingTime();\\n if (this.normalisedRating > 0) {\\n compositeScore *= this.normalisedRating;\\n }\\n else {\\n compositeScore *= ((double)RANGE / (double)2) / (double)RANGE;\\n }\\n return compositeScore;\\n }\",\n \"private Node estimateRelevance(Node original) throws Exception {\\n Node combineNode = new Node(\\\"combine\\\", new NodeParameters(), original.getInternalNodes(), original.getPosition());\\n\\n // Only get as many as we need\\n Parameters localParameters = retrieval.getGlobalParameters().clone();\\n int fbDocs = (int) retrieval.getGlobalParameters().get(\\\"fbDocs\\\", 10);\\n localParameters.set(\\\"requested\\\", fbDocs);\\n\\n // transform and run\\n Node transformedCombineNode = retrieval.transformQuery(combineNode, localParameters);\\n List<ScoredDocument> initialResults = retrieval.executeQuery(transformedCombineNode, localParameters).scoredDocuments;\\n \\n // Gather content\\n ArrayList<String> names = new ArrayList<String>();\\n for (ScoredDocument sd : initialResults) {\\n names.add(sd.documentName);\\n }\\n List<Document> docs = getDocuments(names);\\n\\n // Now the maps from the different information sources\\n // Each of these is a term -> field -> score double-mapping\\n HashMap<String, TObjectDoubleHashMap<String>> uCFSs = null;\\n double ucfw = p.get(\\\"ucfw\\\", 1.0);\\n if (ucfw != 0.0) {\\n uCFSs = getUnigramCollFieldScores();\\n }\\n\\n HashMap<String, TObjectDoubleHashMap<String>> bCFSs = null;\\n double bcfw = p.get(\\\"bcfw\\\", 1.0);\\n if (bcfw != 0.0) {\\n bCFSs = getBigramCollFieldScores();\\n }\\n\\n HashMap<String, TObjectDoubleHashMap<String>> uPRFSs = null;\\n double uprfw = p.get(\\\"uprfw\\\", 1.0);\\n if (uprfw != 0.0) {\\n uPRFSs = getUnigramPRFScores(docs);\\n }\\n\\n HashMap<String, TObjectDoubleHashMap<String>> bPRFSs = null;\\n double bprfw = p.get(\\\"bprfw\\\", 1.0);\\n if (bprfw != 0.0) {\\n bPRFSs = getBigramPRFScores(docs);\\n }\\n\\n // We can now construct term-field weights using our supplied lambdas\\n // and scores\\n Node termNodes = new Node(\\\"combine\\\", new NodeParameters(), new ArrayList<Node>(), 0);\\n termNodes.getNodeParameters().set(\\\"norm\\\", false);\\n TObjectDoubleHashMap<String> weights = new TObjectDoubleHashMap<String>();\\n for (String term : queryTerms) {\\n weights.clear();\\n for (String field : fields) {\\n double sum = 0.0;\\n if (uCFSs != null) {\\n sum += (ucfw * uCFSs.get(term).get(field));\\n }\\n\\n if (bCFSs != null) {\\n TObjectDoubleHashMap<String> termMap = bCFSs.get(term);\\n if (termMap != null) {\\n sum += (bcfw * termMap.get(field));\\n }\\n }\\n\\n if (uPRFSs != null) {\\n sum += (uprfw * uPRFSs.get(term).get(field));\\n }\\n\\n if (bPRFSs != null) {\\n TObjectDoubleHashMap<String> termMap = bPRFSs.get(term);\\n if (termMap != null) {\\n sum += (bprfw * termMap.get(field));\\n }\\n }\\n weights.put(field, sum);\\n }\\n termNodes.addChild(createTermFieldNodes(term, weights));\\n }\\n return termNodes;\\n }\",\n \"int score();\",\n \"int score();\",\n \"@Override\\n public float customScore(int doc,\\n float subQueryScore,\\n float[] valSrcScores)\\n throws IOException {\\n float dl = this.context.reader().getNumericDocValues(\\\"TotalTerms\\\").get(doc);\\n float dvl = this.context.reader().getNumericDocValues(\\\"UniqueTerms\\\").get(doc);\\n float ent = this.context.reader().getNumericDocValues(\\\"Entropy\\\").get(doc);\\n \\n float qvl = QuerySearch.currentQuery.numTypes();\\n\\n \\n float lmnorm = 0;\\n \\n if (SPUDLMSimilarity.method == SPUDLMSimilarity.dir){\\n //LM Dirichlet \\n \\n lmnorm = (float) (Math.log(SPUDLMSimilarity.dir_mu / (dl + SPUDLMSimilarity.dir_mu)));\\n }else if (SPUDLMSimilarity.method == SPUDLMSimilarity.spud){\\n //spud\\n double spud_mu = SPUDLMSimilarity.b0*SPUDLMSimilarity.omega/(1-SPUDLMSimilarity.omega);\\n lmnorm = (float) (Math.log(spud_mu / (dvl + spud_mu)));\\n \\n }else{\\n //default spud\\n double spud_mu = SPUDLMSimilarity.b0*SPUDLMSimilarity.omega/(1-SPUDLMSimilarity.omega);\\n lmnorm = (float) (Math.log(spud_mu / (dvl + spud_mu)));\\n \\n }\\n \\n \\n return (subQueryScore + lmnorm );\\n \\n }\",\n \"@Override\\n public void processCas(CAS aCas) throws ResourceProcessException {\\nSystem.out.println(\\\"Retrival evaluator...\\\");\\n JCas jcas;\\n try {\\n jcas = aCas.getJCas();\\n } catch (CASException e) {\\n throw new ResourceProcessException(e);\\n }\\n\\n FSIterator it = jcas.getAnnotationIndex(Document.type).iterator();\\n \\n// if (it.hasNext()) {\\n// Document doc = (Document) it.next();\\n// cnt++;\\n// }\\n// log(cnt);\\n it = jcas.getAnnotationIndex(Document.type).iterator();\\n\\n if (it.hasNext()) {\\n Document doc = (Document) it.next();\\n int queryid = doc.getQueryID();\\n int rel = doc.getRelevanceValue();\\n // Make sure that your previous annotators have populated this in CAS\\n FSList fsTokenList = doc.getTokenList();\\n ArrayList<Token> tokenList = Utils.fromFSListToCollection(fsTokenList, Token.class);\\n Map<String, Integer> queryVector = new HashMap<String, Integer>();\\n Map<String, Integer> docVector = new HashMap<String, Integer>();\\n if (rel == 99) {\\n for (Token t : tokenList) {\\n queryVector.put(t.getText(), t.getFrequency());\\n }\\n queryVectorlist.add(queryVector);\\n } else {\\n for (Token t : tokenList) {\\n docVector.put(t.getText(), t.getFrequency());\\n }\\n double cos = computeCosineSimilarity(queryVectorlist.get(queryid - 1), docVector);\\n coslist.add(cos);\\n\\n if (rel == 1) {\\n gold = lines;\\n goldcos = cos;\\n System.out.println(\\\"goldcos\\\"+goldcos);\\n }\\n }\\n \\n if (qIdList.size() >= 1 && qIdList.get(qIdList.size() - 1) != queryid) {\\n// System.out.println(\\\"lines:\\\"+lines);\\n sortSimilarity(coslist);\\n log(coslist);\\n int rank=findRank(coslist,goldcos);\\n rankList.add(rank);\\n coslist = new ArrayList<Double>();\\n }\\n\\n qIdList.add(doc.getQueryID());// 有啥用？？？\\n relList.add(doc.getRelevanceValue());\\n\\n // Do something useful here\\n lines++;\\n }\\n //log(coslist);\\n\\n }\",\n \"public int getTotalScore(){\\r\\n return totalScore;\\r\\n }\",\n \"public static void main(String[] args) throws IOException \\n\\t{\\n\\t\\tScanner sc = new Scanner(System.in);\\n\\t\\tSystem.out.print(\\\"Please input the keyword: \\\");\\n\\t\\tString keyword = sc.next();\\n\\t\\tsc.close();\\n\\t\\n\\t\\tKeywordList kLst = new KeywordList();\\t\\n\\t\\tSystem.out.println(\\\"-------------------------------------------------------\\\\nRelative Word List: \\\");\\n\\t\\tkLst.printKeywordList(kLst.getKeywords());\\n\\t\\tSystem.out.print(\\\"-------------------------------------------------------\\\\nValid Web Pages for Keyword [\\\" + keyword + \\\"]: \\\\n\\\");\\n\\t\\tGoogleSearch google = new GoogleSearch(keyword);\\n\\t\\tSystem.out.print(google.toString());\\n\\t\\t\\n\\t\\tArrayList<WebNode> wLst = new ArrayList<WebNode>();\\t\\n\\t\\t\\n\\t\\ttry \\n\\t\\t{\\t\\t\\n\\t\\t\\tfor(String title: google.query().keySet()) \\n\\t\\t\\t{\\n\\t\\t\\t\\tString webUrl = google.query().get(title);\\t\\n\\t\\t\\t\\tWebPage rootPage = new WebPage(webUrl, title);\\n\\t\\t\\t\\tWebTree tree = new WebTree(rootPage);\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\tChildPageQuery childQ = new ChildPageQuery(webUrl);\\n\\t\\t\\t\\tint count = 0;\\n\\t\\t\\t\\tif(childQ.query() != null) \\n\\t\\t\\t\\t{\\t\\t\\t\\n\\t\\t\\t\\t\\tfor(String childUrl: childQ.query()) \\n\\t\\t\\t\\t\\t{\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tcount++;\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\ttree.root.addChild(new WebNode(new WebPage(childUrl, count + \\\"\\\")));\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\ttree.setPostOrderScore(kLst.getKeywords());\\n\\t\\t\\t\\t\\twLst.add(tree.root);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\t\\n\\t\\t\\t\\n\\t\\t\\tWebRating rating = new WebRating(wLst);\\n\\t\\t\\trating.sort();\\n\\t\\t\\tSystem.out.println(\\\"-------------------------------------------------------\\\\n★★★Rating★★★\\\\n(Title, Total Child Pages, Total Root Page Score)\\\");\\n\\t\\t\\tSystem.out.print(rating.output());\\n\\t\\t} \\n\\n\\t\\tcatch(IOException e)\\n\\t\\t{\\n\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"public static void pageRankmain() {\\n\\t\\t\\t\\n\\t\\t\\tstopWordStore();\\n\\t\\t\\t//File[] file_read= dir.listFiles();\\n\\t\\t\\t//textProcessor(file_read);// Will be called from LinkCrawler\\n\\t\\t\\t//queryProcess();\\n\\t\\t\\t//System.out.println(\\\"docsave \\\"+ docsave);\\n\\t\\t\\t/*for ( Map.Entry<String, ArrayList<String>> entry : docsave.entrySet()) {\\n\\t\\t\\t String key = entry.getKey();\\n\\t\\t\\t List<String> values = entry.getValue();\\n\\t\\t\\t System.out.print(\\\"Key = \\\" + key);\\n\\t\\t\\t System.out.println(\\\" , Values = \\\"+ values);\\n\\t\\t\\t}*/\\n\\t\\t\\t//########## RESPOINSIBLE FOR CREATING INVERTED INDEX OF TERMS ##########\\n\\t\\t\\tfor(int i=0;i<vocabulary.size();i++) {\\n\\t\\t\\t\\tint count=1;\\n\\t\\t\\t\\tMap<String, Integer> nestMap = new HashMap<String, Integer>();\\n\\t\\t\\t\\tfor ( Map.Entry<String, ArrayList<String>> entry : docsave.entrySet()) {\\n\\t\\t\\t\\t String keyMain = entry.getKey();\\n\\t\\t\\t\\t List<String> values = entry.getValue();\\n\\t\\t\\t\\t if(values.contains(vocabulary.get(i)))\\n\\t\\t\\t\\t \\t{\\n\\t\\t\\t\\t \\tentryDf.put(vocabulary.get(i), count);//entryDf stores documents frequency of vocabulary word \\\\\\\\it increase the count value for specific key\\n\\t\\t\\t\\t \\tcount++;\\n\\t\\t\\t\\t \\t}\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t nestMap.put(keyMain, Collections.frequency(values,vocabulary.get(i)));\\n\\t\\t\\t \\t\\n\\t\\t\\t \\t//System.out.println(\\\"VOC \\\"+ vocabulary.get(i)+ \\\" KeyMain \\\" +keyMain+ \\\" \\\"+ Collections.frequency(values,vocabulary.get(i)));\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\ttfList.put(vocabulary.get(i), nestMap);\\n\\t\\t\\t}\\n\\t\\t\\t//########## RESPOINSIBLE FOR CREATING A MAP \\\"storeIdf\\\" TO STORE IDF VALUES OF TERMS ##########\\n\\t\\t\\tfor ( Map.Entry<String, Integer> endf : entryDf.entrySet()) {\\n\\t\\t\\t\\tString keydf = endf.getKey();\\n\\t\\t\\t\\tint valdf = endf.getValue();\\n\\t\\t\\t\\t//System.out.print(\\\"Key = \\\" + \\\"'\\\"+keydf+ \\\"'\\\");\\n\\t\\t\\t //System.out.print(\\\" , Values = \\\"+ valdf);\\n\\t\\t\\t double Hudai = (double) (docsave.size())/valdf;\\n\\t\\t\\t //System.out.println(\\\"docsave size \\\"+docsave.size()+ \\\" valdf \\\"+ valdf + \\\" Hudai \\\"+ Hudai+ \\\" log Value1 \\\"+ Math.log(Hudai)+ \\\" log Value2 \\\"+ Math.log(2));\\n\\t\\t\\t double idf= Math.log(Hudai)/Math.log(2);\\n\\t\\t\\t storeIdf.put(keydf, idf);\\n\\t\\t\\t //System.out.print(\\\" idf-> \\\"+ idf);\\n\\t\\t\\t //System.out.println();\\n\\t\\t\\t} \\n\\t\\t\\t\\n\\t\\t\\t//############ Just for Printing ##########NO WORK HERE########\\n\\t\\t\\tfor (Map.Entry<String, Map<String, Integer>> tokTf : tfList.entrySet()) {\\n\\t\\t\\t\\tString keyTf = tokTf.getKey();\\n\\t\\t\\t\\tMap<String, Integer> valTF = tokTf.getValue();\\n\\t\\t\\t\\tSystem.out.println(\\\"Inverted Indexing by Key Word = \\\" + \\\"'\\\"+keyTf+ \\\"'\\\");\\n\\t\\t\\t\\tfor (Map.Entry<String, Integer> nesTf : valTF.entrySet()) {\\n\\t\\t\\t\\t\\tString keyTF = nesTf.getKey();\\n\\t\\t\\t\\t\\tInteger valTf = nesTf.getValue();\\n\\t\\t\\t\\t\\tSystem.out.print(\\\" Document Consists This Key Word = \\\" + \\\"'\\\"+ keyTF+ \\\"'\\\");\\n\\t\\t\\t\\t\\tSystem.out.println(\\\" , Term Frequencies in This Doc = \\\"+ valTf);\\n\\t\\t\\t\\t} \\n\\t\\t\\t}\\n\\t\\t\\t//########### FOR CALCULATING DOCUMENT LENTH #############//\\n\\t\\t\\tfor ( Map.Entry<String, ArrayList<String>> entry_new : docsave.entrySet()) // Iterating Number of Documents\\n\\t\\t\\t{\\n\\t\\t\\t\\tString keyMain_new = entry_new.getKey();\\n\\t\\t\\t\\t//int countStop=0;\\n\\t\\t\\t\\tdouble sum=0;\\n\\t\\t\\t\\t for(Map.Entry<String, Map<String, Integer>> tokTf_new : tfList.entrySet()) // Iterating through the vocabulary\\n\\t\\t\\t\\t { \\n\\t\\t\\t\\t\\t Map<String, Integer> valTF_new = tokTf_new.getValue();\\n\\t\\t\\t\\t\\t for (Map.Entry<String, Integer> nesTf_new : valTF_new.entrySet()) // Iterating Through the Documents\\n\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t if(keyMain_new.equals(nesTf_new.getKey())) // Only doc name EQUAL with docsave name can enter here\\n\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t double val = nesTf_new.getValue()* (Double) storeIdf.get(tokTf_new.getKey());\\n\\t\\t\\t\\t\\t\\t\\t sum = sum+ Math.pow(val, 2);\\n\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t //countStop++;\\n\\t\\t\\t\\t }\\n\\t\\t\\t\\t docLength.put(keyMain_new, Math.sqrt(sum));\\n\\t\\t\\t\\t sum=0;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println(\\\"Document Length \\\"+ docLength);\\n\\t\\t\\t//System.out.println(\\\"tfList \\\"+tfList);\\n\\t\\t\\t\\n\\t\\t\\t //########### FOR CALCULATING QUERY LENTH #############///\\n\\t\\t\\t\\tdouble qrySum=0;\\n\\t\\t\\t\\t for(String qryTerm: queryList) // Iterating through the vocabulary\\n\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t//entryQf.put(qryTerm, Collections.frequency(queryList,qryTerm));// VUl ase\\n\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t\\t if(storeIdf.get(qryTerm) != null) \\n\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t entryQf.put(qryTerm, Collections.frequency(queryList,qryTerm));\\n\\t\\t\\t\\t\\t\\t\\t double val = entryQf.get(qryTerm)* (Double) storeIdf.get(qryTerm);\\n\\t\\t\\t\\t\\t\\t\\t qrySum = qrySum+ Math.pow(val, 2);\\n\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t System.out.println(qryTerm+\\\" \\\"+entryQf.get(qryTerm)+ \\\" \\\"+ (Double) storeIdf.get(qryTerm));\\n\\t\\t\\t\\t }\\n\\t\\t\\t\\t qrySum=Math.sqrt(qrySum);\\n\\t\\t\\t\\t System.out.println(\\\"qrySum \\\" + qrySum);\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t//########### FOR CALCULATING COSINE SIMILARITY #############///\\n\\t\\t\\t\\t for ( Map.Entry<String, ArrayList<String>> entry_dotP : docsave.entrySet()) // Iterating Number of Documents\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\tdouble sumProduct=0;\\n\\t\\t\\t\\t\\t\\tdouble productTfIdf=0;\\n\\t\\t\\t\\t\\t\\tString keyMain_new = entry_dotP.getKey(); //Geting Doc Name\\n\\t\\t\\t\\t\\t\\t for(Map.Entry<String, Integer> qryTermItr : entryQf.entrySet()) // Iterating through the vocabulary\\n\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t\\t\\t Map<String, Integer> matchTerm = tfList.get(qryTermItr.getKey()); // Getting a map of doc Names by a Query Term as value of tfList\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t if(matchTerm.containsKey(keyMain_new)) // Only doc name EQUAL with docsave name can enter here\\n\\t\\t\\t\\t\\t\\t\\t\\t {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t //System.out.println(\\\"Test \\\"+ matchTerm.get(keyMain_new) +\\\" keyMain_new \\\" + keyMain_new);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t double docTfIdf= matchTerm.get(keyMain_new) * storeIdf.get(qryTermItr.getKey());\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t double qryTfIdf= qryTermItr.getValue() * storeIdf.get(qryTermItr.getKey());\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t productTfIdf = docTfIdf * qryTfIdf;\\n\\t\\t\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t\\t\\t sumProduct= sumProduct+productTfIdf;\\n\\t\\t\\t\\t\\t\\t\\t //System.out.println(\\\"productTfIdf \\\"+productTfIdf+\\\" sumProduct \\\"+ sumProduct);\\n\\t\\t\\t\\t\\t\\t\\t productTfIdf=0;\\n\\t\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t\\t cosineProd.put(entry_dotP.getKey(), sumProduct/(docLength.get(entry_dotP.getKey())*qrySum));\\n\\t\\t\\t\\t\\t\\t sumProduct=0;\\n\\t\\t\\t\\t\\t\\t //System.out.println(entry_dotP.getKey()+ \\\" \\\" + docLength.get(entry_dotP.getKey()));\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t System.out.println(\\\"cosineProd \\\"+ cosineProd);\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t System.out.println(\\\"Number of Top Pages you want to see\\\");\\n\\t\\t\\t\\t int topRank = Integer.parseInt(scan.nextLine());\\n\\t\\t\\t\\t Map<String, Double> result = cosineProd.entrySet().stream()\\n\\t\\t\\t .sorted(Map.Entry.comparingByValue(Comparator.reverseOrder())).limit(topRank)\\n\\t\\t\\t .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,\\n\\t\\t\\t (oldValue, newValue) -> oldValue, LinkedHashMap::new));\\n\\n\\t\\t\\t\\t scan.close();\\n\\t\\t\\t //Alternative way\\n\\t\\t\\t //Map<String, Double> result2 = new LinkedHashMap<>();\\n\\t\\t\\t //cosineProd.entrySet().stream().sorted(Map.Entry.<String, Double>comparingByValue().reversed()).limit(2).forEachOrdered(x -> result2.put(x.getKey(), x.getValue()));\\n\\n\\t\\t\\t System.out.println(\\\"Sorted...\\\");\\n\\t\\t\\t System.out.println(result);\\n\\t\\t\\t //System.out.println(result2);\\n\\t}\",\n \"public int getAverage() { return (int)Math.ceil(getSumOfMarks()/ numberOfCourses); }\",\n \"private int scoreCalc(HousingLocation h) {\\n\\t\\tint score = 0;\\n\\t\\tscore += managementScore*h.managementScore;\\n\\t\\tscore += amenitiesScore*h.amenitiesScore;\\n\\t\\tscore += locationScore*h.locationScore;\\n\\t\\tscore += communityChillFactorScore*h.communityChillFactorScore;\\n\\t\\t\\n\\t\\treturn score;\\n\\t\\t\\n\\t}\",\n \"private int calculateScore(){\\n int score = 0;\\n for(Card card : hand){\\n score += card.getScore();\\n }\\n return score;\\n }\",\n \"public double agile(double scrum,double sub,double essay,double exam)\\n {\\n double a = ((25%100)*scrum)/100;\\n double b = ((5%100)*sub)/100;\\n double c = ((20%100)*essay)/100;\\n double d = ((50%100)*exam)/100;\\n double grade = ((a+b+c+d)/8);//*100;\\n return grade;\\n }\",\n \"public void updateScore( Realization realization ){\\n\\t\\trealization.setScore( calcScore(realization) ) ;\\n\\t}\",\n \"public double computeHeuristicGrade();\",\n \"public int getTotalScore(){\\n return totalScore;\\n }\",\n \"public abstract float getScore();\",\n \"protected HashMap<String,Double> rank(ArrayList<String> queryPostingLines, ArrayList<String> query){\\n HashMap<String,HashMap<String,Integer>> queryWordsTFPerDoc = computeTFForQueryWords(queryPostingLines);\\n ArrayList<String> retrievedDocuments = new ArrayList<>(queryWordsTFPerDoc.keySet());\\n HashMap<String,Double> rankedDocs = new HashMap<>();\\n\\n for(String doc : retrievedDocuments){\\n HashMap<String,Integer> docTFs = queryWordsTFPerDoc.get(doc);\\n double rank = 0.3*rankByBM25(query,doc,docTFs) + 0.7*rankByPosition(query,doc,queryPostingLines);// - rankByCosSim(query,doc,docTFs);\\n rankedDocs.put(doc,rank);\\n }\\n rankedDocs = sortByValue(rankedDocs);\\n ArrayList<String> docsAfterSort = new ArrayList<>(rankedDocs.keySet());\\n HashMap<String,Double> docsToRetrieve = new HashMap<>();\\n int i=0;\\n for(String doc: docsAfterSort){\\n docsToRetrieve.put(documentDetails.get(doc)[0],rankedDocs.get(doc));\\n i++;\\n if(i == 50)\\n break;\\n }\\n return docsToRetrieve;\\n }\",\n \"public void give_score(int n){\\n final_score=0.25*(n-m.get_m()+1)+0.2*(n-h.get_h()+1)+0.25*(n-l.get_l()+1)+0.3*(n-a.get_a()+1);\\r\\n }\",\n \"public float computePhraseScore(int dl, int tf, GlobalStats stats);\",\n \"int getScore();\",\n \"@Override\\r\\n public double Score(int[] leftDist, int[] rightDist) {\\r\\n return leftDist[Utils.maxIndex(leftDist)] + rightDist[Utils.maxIndex(rightDist)];\\r\\n }\",\n \"public ArrayList<Double> computeRanks(ArrayList<String> vertices) {\\r\\n\\t\\t// TODO : Add code here\\r\\n\\t\\tArrayList<Double> result=new ArrayList<>();\\r\\n\\t\\tfor(int i=0;i<vertices.size();i++){\\r\\n\\t\\t\\tString url=vertices.get(i);\\r\\n\\t\\t\\tArrayList<String> edges=internet.getEdgesInto(url);\\r\\n\\t\\t\\tdouble sum= edges.stream().mapToDouble(edge -> internet.getPageRank(edge) / internet.getOutDegree(edge)).sum();\\r\\n\\t\\t\\tdouble rank=0.5+0.5*sum;\\r\\n\\t\\t\\tresult.add(i,rank);\\r\\n\\t\\t}\\r\\n\\t\\treturn result;\\r\\n\\t}\",\n \"public void computeHistogram() {\\n\\t}\",\n \"public double ratioUsersEverWrittenArticle() {\\n\\t\\tcheckAuthority();\\n\\t\\ttry {\\n\\t\\t\\treturn this.administratorRepository.ratioUsersEverWrittenArticle();\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\treturn 0.;\\n\\t\\t}\\n\\t}\",\n \"public static double calculateAnalogyQuality(DirectedGraphAdapter<Concept> mapping)\\n\\t{\\n\\t\\tList<Concept> schema = SchemaEngine.createSchema(mapping);\\n\\t\\t//sort schema nodes by type (decreasing)\\n\\t\\tCollections.sort(schema, new ConceptTypeComparator());\\n\\t\\tfor(Concept s : schema)\\n\\t\\t{\\n\\t\\t\\ts.score += initialMatchScore;\\t//TODO could have different initialMatchScores for different concept types, like Forbus & Gentner\\n\\t\\t\\t//TODO don't include roles that aren't part of the schema itself! Actually, the role scores aren't included in the final tally; only nodes in the schema are added into the total score\\n\\t\\t\\tfor(Concept role : s.roles)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif(role != null && !(role instanceof AnonymousToken))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\trole.score += trickleDownFactor*s.score;\\t//why does Forbus & Gentner use max{ W(MH2) + delta*W(MH1); 1.0}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t//add up all scores from schema nodes\\n\\t\\tdouble totalScore = 0;\\n\\t\\tfor(Concept s : schema)\\n\\t\\t{\\n\\t\\t\\ttotalScore += s.score;\\n\\t\\t}\\n\\t\\treturn totalScore;\\n\\t}\",\n \"@Override\\r\\n\\tpublic Double getPropensity_loan_score() {\\n\\t\\treturn super.getPropensity_loan_score();\\r\\n\\t}\",\n \"double agression();\",\n \"void calcScore() {\\n\\t\\t\\tMat points = new Mat(nodes.size(),2,CvType.CV_32FC1);\\n\\t\\t\\tMat line = new Mat(4,1,CvType.CV_32FC1);\\n\\n\\t\\t\\tif(nodes.size() > 2) {\\n\\t\\t\\t\\t// We know for sure here that the size() is at least 3\\n\\t\\t\\t\\tfor(int i = 0; i < nodes.size(); i++) {\\n\\t\\t\\t\\t\\tpoints.put(i, 0, nodes.get(i).x);\\n\\t\\t\\t\\t\\tpoints.put(i, 1, nodes.get(i).y);\\n\\t\\t\\t\\t}\\n\\t\\n\\t\\t\\t\\tImgproc.fitLine(points, line, Imgproc.CV_DIST_L2, 0, 0.01, 0.01);\\n\\t\\t\\t\\tPoint2 lineNormale = new Point2(line.get(0, 0)[0], line.get(1, 0)[0]);\\n\\t\\t\\t\\tPoint2 linePoint = new Point2(line.get(2, 0)[0], line.get(3, 0)[0]);\\n\\t\\n\\t\\t\\t\\tscore = 0;\\n\\t\\t\\t\\tdouble totalLength = 0;\\n\\t\\t\\t\\tdouble[] lengths = new double[nodes.size() - 1];\\n\\t\\t\\t\\tfor(int i = 0; i < nodes.size(); i++) {\\n\\t\\t\\t\\t\\t// First score is the distance from each point to the fitted line\\n\\t\\t\\t\\t\\t// We normalize the distances by the base size so the size doesn't matter\\n\\t\\t\\t\\t\\tscore += Math.abs(nodes.get(i).distanceToLine(linePoint, lineNormale) / base().norm());\\n\\t\\t\\t\\t\\tif(i > 0) {\\n\\t\\t\\t\\t\\t\\t// Then the collinearity of the steps with the base\\n\\t\\t\\t\\t\\t\\t// That is cosine -> 1.0, where cosine = a dot b / |a|*|b|\\n\\t\\t\\t\\t\\t\\tPoint2 step = nodes.get(i).minus(nodes.get(i-1));\\n\\t\\t\\t\\t\\t\\tdouble dotProduct = step.dot(base());\\n\\t\\t\\t\\t\\t\\tscore += Math.abs(dotProduct/(base().norm()*step.norm()) - 1);\\n\\t\\t\\t\\t\\t\\ttotalLength += step.norm();\\n\\t\\t\\t\\t\\t\\tlengths[i-1] = step.norm();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t// Normalize by the number of nodes so the shorter sequences don't have advantage\\n\\t\\t\\t\\tscore /= nodes.size();\\n\\t\\t\\t\\t// Add scores (penalties) for missing nodes\\n\\t\\t\\t\\t// If we divide the total length by the expected number of steps\\n\\t\\t\\t\\t// the result should be close to the length of the majority of the visible steps \\n\\t\\t\\t\\tArrays.sort(lengths);\\n\\t\\t\\t\\tdouble median = lengths.length % 2 == 0\\n\\t\\t\\t\\t\\t\\t? (lengths[nodes.size()/2] + lengths[nodes.size()/2-1]) / 2\\n\\t\\t\\t\\t\\t\\t: lengths[nodes.size()/2];\\n\\t\\t\\t\\tscore += Math.abs(median - totalLength/(maxNodes-1)) / median;\\n\\t\\t\\t}\\n\\t\\t\\telse {\\n\\t\\t\\t\\t// Two or less nodes is not a chain. So give it the worst score possible \\n\\t\\t\\t\\tscore = Double.MAX_VALUE;\\n\\t\\t\\t}\\n\\t\\t}\",\n \"private int scoreAuthorMatch(int tag1, int tag2)\\n {\\n // If they're exactly equal, great.\\n if (tag1 == tag2)\\n return 100;\\n \\n // Don't do prefix scanning on short titles.\\n String str1 = data.tags.getString(tag1);\\n String str2 = data.tags.getString(tag2);\\n if (str1.length() < 5 || str2.length() < 5)\\n return 0;\\n \\n // If either is a prefix of the other, we have a match.\\n if (str1.startsWith(str2) || str2.startsWith(str1))\\n return 100;\\n \\n // All other cases: fail for now at least.\\n return 0;\\n }\",\n \"long getScore();\",\n \"long getScore();\",\n \"long getScore();\",\n \"long getScore();\",\n \"public int getHomeScore() {\\n return homeScore;\\n }\",\n \"public PageRankAnalyzer(ISet<Webpage> webpages, double decay, double epsilon, int limit) {\\n // Step 1: Make a graph representing the 'internet'\\n IDictionary<URI, ISet<URI>> graph = this.makeGraph(webpages);\\n\\n // Step 2: Use this graph to compute the page rank for each webpage\\n this.pageRanks = this.makePageRanks(graph, decay, limit, epsilon);\\n }\",\n \"@Override\\r\\n\\tpublic int calculax2p(int score, boolean zerou) {\\r\\n\\t\\tif(score > getMaiorScore()) {\\r\\n\\t\\t\\treturn score / 1000;\\r\\n\\t\\t}\\r\\n\\t\\treturn 0;\\r\\n\\t}\",\n \"public double computeScore(Params params) {\\n score = localScore(params);\\n if (children != null)\\n for (Derivation child : children)\\n score += child.computeScore(params);\\n return score;\\n }\",\n \"public int getTotalScore() {\\r\\n return totalScore;\\r\\n }\",\n \"@Override\\n public int getScore() {\\n return totalScore;\\n }\",\n \"public void normalize(){\\n\\tstrength = 50;\\n\\tdefense = 55;\\n\\tattRating = 0.4\\t;\\n }\",\n \"public double getMainPercentage(){return mainPercentage;}\",\n \"public Double averageArticlesPerNewspaperPublics() {\\n\\t\\tcheckAuthority();\\n\\t\\tDouble a = this.administratorRepository\\n\\t\\t\\t\\t.averageArticlesPerNewspaperPublics();\\n\\t\\tif (a == null) {\\n\\t\\t\\ta = 0.;\\n\\t\\t}\\n\\t\\ttry {\\n\\t\\t\\treturn a;\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\treturn 0.;\\n\\t\\t}\\n\\t}\",\n \"public List<Link> generateControveryScore(ArrayList<Link> linkList) {\\n\\n for (Link link : linkList) {\\n\\n link.setControversyScore((link.getTotalVotes()) / Math.max((Math.abs(link.getUpVotes() - link.getDownVotes())), 1));\\n links.save(link);\\n\\n }\\n return linkList;\\n }\",\n \"public double getNormalizedCount(String word1, String word2) {\\n// double normalizedCount = 0;\\n// // YOUR CODE HERE\\n// return normalizedCount;\\n \\n double normalizedCount = 0;\\n // YOUR CODE HERE\\n if (KnownWord(word1) && KnownWord(word2)) {\\n normalizedCount = bi_grams_normalized[NDTokens.indexOf(word1)][NDTokens.indexOf(word2)];\\n } else {\\n if(smooth) {\\n double temp = (!KnownWord(word1)) ? 0 : uni_grams[NDTokens.indexOf(word1)];\\n double sum = temp+NDTokens_size;\\n normalizedCount = 1/sum;\\n }\\n }\\n return normalizedCount;\\n \\n }\",\n \"public List<Link> generateLinkScore(ArrayList<Link> linkList) {\\n\\n for (Link link : linkList) {\\n long difference = ChronoUnit.SECONDS.between(link.getTimeOfCreation(), LocalDateTime.now());\\n link.setTimeDiffInSeconds(difference);\\n long denominator = (difference + SECONDS_IN_TWO_HOURS);\\n // numerator needs to account for personal vote?\\n //\\n link.setKarma(link.getUpVotes() - link.getDownVotes());\\n //get yadalist size from db call instead of link.getYadaList().size\\n int count = yadas.countByLink(link);\\n link.setLinkScore(((link.getKarma() - count) / (Math.pow(denominator, GRAVITY))));\\n links.save(link);\\n }\\n return linkList;\\n }\",\n \"public abstract double sentimentScore(Message message);\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7328276","0.68878555","0.5832835","0.55169165","0.5511383","0.5473398","0.5268692","0.5118998","0.508528","0.5053972","0.5051376","0.4999159","0.4971344","0.49678203","0.49618837","0.49579164","0.49574202","0.4950708","0.49315587","0.49038327","0.4901796","0.48830354","0.4836071","0.482722","0.48171714","0.47976527","0.47843698","0.4776873","0.47557023","0.47475618","0.47149453","0.4710743","0.47087014","0.47029978","0.46900764","0.46839848","0.46783412","0.4673308","0.4652869","0.4648019","0.46426687","0.46423087","0.46373504","0.46320763","0.46252456","0.46198556","0.46175677","0.46157008","0.4583647","0.4579187","0.4568262","0.45578694","0.4557865","0.45548505","0.45537522","0.45465145","0.45465145","0.45362166","0.45357156","0.45260888","0.4524793","0.45085818","0.45077044","0.45022964","0.45012286","0.44967595","0.44933963","0.4470929","0.4466788","0.4453389","0.44451445","0.44404995","0.44402713","0.4433342","0.44332883","0.44327685","0.4431166","0.44250447","0.44179222","0.44141862","0.44106102","0.44092435","0.44061065","0.44026515","0.44026515","0.44026515","0.44026515","0.44022706","0.43971005","0.43926385","0.4385818","0.43851095","0.43738583","0.4368787","0.43675545","0.4362175","0.43592283","0.4354846","0.4353836","0.43496755"],"string":"[\n \"0.7328276\",\n \"0.68878555\",\n \"0.5832835\",\n \"0.55169165\",\n \"0.5511383\",\n \"0.5473398\",\n \"0.5268692\",\n \"0.5118998\",\n \"0.508528\",\n \"0.5053972\",\n \"0.5051376\",\n \"0.4999159\",\n \"0.4971344\",\n \"0.49678203\",\n \"0.49618837\",\n \"0.49579164\",\n \"0.49574202\",\n \"0.4950708\",\n \"0.49315587\",\n \"0.49038327\",\n \"0.4901796\",\n \"0.48830354\",\n \"0.4836071\",\n \"0.482722\",\n \"0.48171714\",\n \"0.47976527\",\n \"0.47843698\",\n \"0.4776873\",\n \"0.47557023\",\n \"0.47475618\",\n \"0.47149453\",\n \"0.4710743\",\n \"0.47087014\",\n \"0.47029978\",\n \"0.46900764\",\n \"0.46839848\",\n \"0.46783412\",\n \"0.4673308\",\n \"0.4652869\",\n \"0.4648019\",\n \"0.46426687\",\n \"0.46423087\",\n \"0.46373504\",\n \"0.46320763\",\n \"0.46252456\",\n \"0.46198556\",\n \"0.46175677\",\n \"0.46157008\",\n \"0.4583647\",\n \"0.4579187\",\n \"0.4568262\",\n \"0.45578694\",\n \"0.4557865\",\n \"0.45548505\",\n \"0.45537522\",\n \"0.45465145\",\n \"0.45465145\",\n \"0.45362166\",\n \"0.45357156\",\n \"0.45260888\",\n \"0.4524793\",\n \"0.45085818\",\n \"0.45077044\",\n \"0.45022964\",\n \"0.45012286\",\n \"0.44967595\",\n \"0.44933963\",\n \"0.4470929\",\n \"0.4466788\",\n \"0.4453389\",\n \"0.44451445\",\n \"0.44404995\",\n \"0.44402713\",\n \"0.4433342\",\n \"0.44332883\",\n \"0.44327685\",\n \"0.4431166\",\n \"0.44250447\",\n \"0.44179222\",\n \"0.44141862\",\n \"0.44106102\",\n \"0.44092435\",\n \"0.44061065\",\n \"0.44026515\",\n \"0.44026515\",\n \"0.44026515\",\n \"0.44026515\",\n \"0.44022706\",\n \"0.43971005\",\n \"0.43926385\",\n \"0.4385818\",\n \"0.43851095\",\n \"0.43738583\",\n \"0.4368787\",\n \"0.43675545\",\n \"0.4362175\",\n \"0.43592283\",\n \"0.4354846\",\n \"0.4353836\",\n \"0.43496755\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6654594"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":132599,"cells":{"query":{"kind":"string","value":"end SumInlinkHubScore() Calculate the Hub score of a page by summing the Authority scores of that page's outlinks."},"document":{"kind":"string","value":"public double SumOutlinkAuthorityScore(Page page) {\n\t\tList<String> outLinks = page.getOutlinks();\n\t\tdouble authScore = 0;\n\t\tfor (String outLink1 : outLinks) {\n\t\t\tPage outLink = pTable.get(outLink1);\n\t\t\tif (outLink != null)\n\t\t\t\tauthScore += outLink.authority;\n\t\t}\n\t\treturn authScore;\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public double SumInlinkHubScore(Page page) {\n\t\tList<String> inLinks = page.getInlinks();\n\t\tdouble hubScore = 0;\n\t\tfor (String inLink1 : inLinks) {\n\t\t\tPage inLink = pTable.get(inLink1);\n\t\t\tif (inLink != null)\n\t\t\t\thubScore += inLink.hub;\n\t\t\t// else: page is linked to by a Page not in our table\n\t\t}\n\t\treturn hubScore;\n\t}","public void computeHubAuth (int..._iterNum) throws IOException\n\t{\n\t\tint iterNum;\n\t\tif(_iterNum.length==0) iterNum=10;\n\t\telse iterNum = _iterNum[0];\n\t\t\n\t\t// variable declaration\n\t\tHashtable<String, Object> hubPrev = new Hashtable<String, Object>();\n\t\tVector<String> oneVector;\n\t\tdouble oneWeight;\n\t\tdouble totalHub;\n\t\tdouble totalAuth;\n\t\tdouble totalHubPrev;\n\t\tdouble totalAuthPrev;\n\t\tFastIterator iter;\n\t\tString keyword = null;\t\t\n\t\tHTree hubHash;\n\t\tHTree authHash;\t\t\n\t\t\n\t\t// initialize all the weights with 1\n\t\ttotalHub = 0;\n\t\ttotalAuth = 0;\n\t\t//iter = pageID.getHash().keys();\n\t\titer = parentLink.getHash().keys();\n\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t{\n\t\t\thubWeight.addEntry(keyword, 1.0);\n\t\t\tauthWeight.addEntry(keyword, 1.0);\n\t\t\ttotalHub += 1.0 * 1.0;\n\t\t\ttotalAuth += 1.0 * 1.0;\n\t\t}\n\t\t//System.out.println(\"Intialization\");\n\t\t//printHubAuth();\t\t\n\t\t\n \t\thubHash = hubWeight.getHash();\n \t\tauthHash = authWeight.getHash();\n \t\t\n \t\t//System.out.println(hubHash.keys()==authHash.keys());\n \t\t\n \t\t// iteratively compute the weights\n\t\tfor(int i = 0; i < iterNum; i++)\n\t\t{\n\t\t\t// store the previous state of hub and authority\n\t\t\titer = hubHash.keys();\n\t\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t\t\thubPrev.put(keyword, hubHash.get(keyword));\n\t \t\ttotalHubPrev = Math.sqrt(totalHub);\n\t \t\ttotalAuthPrev = Math.sqrt(totalAuth);\n\t\t\t\n\t\t\t// compute hubs from normalized previous authWeight, hubWeight\n\t \t\ttotalHub = 0;\n\t\t\titer = hubHash.keys();\n\t \t\t//iter = pageID.getHash().keys();\n\t\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t\t{\n\t\t\t\toneVector = (Vector<String>) childLink.getEntry(keyword);\n\t\t\t\toneWeight = 0;\n\t\t\t\tfor(String oneId: oneVector) \n\t\t\t\t\toneWeight += (Double)authHash.get(oneId);\n\t\t\t\toneWeight /= totalHubPrev;\n\t\t\t\ttotalHub += oneWeight * oneWeight;\n\t\t\t\thubWeight.addEntry(keyword, oneWeight);\n\t\t\t}\n\t\t\t\n\t\t\t// System.out.println(hubHash==hubWeight.getHash());\n\t\t\t\n\t\t\t// compute authorities\n\t\t\ttotalAuth = 0;\n\t\t\titer = authHash.keys();\n\t\t\twhile( (keyword=(String)iter.next()) != null)\n\t\t\t{\n\t\t\t\toneVector = (Vector<String>) parentLink.getEntry(keyword);\n\t\t\t\toneWeight = 0;\n\t\t\t\tfor(String oneId: oneVector)\n\t\t\t\t\toneWeight += (Double)hubPrev.get(oneId);\n\t\t\t\toneWeight /= totalAuthPrev;\n\t\t\t\ttotalAuth += oneWeight * oneWeight;\n\t\t\t\tauthWeight.addEntry(keyword, oneWeight);\n\t\t\t}\n\t\t\t\n\t\t\t//System.out.println(\"Iteration: \"+i);\n\t\t\t//printHubAuth();\n\t\t}\n\t\t\n\t\t// normalize hub and authority weights\n\t\ttotalHubPrev = Math.sqrt(totalHub);\n \t\ttotalAuthPrev = Math.sqrt(totalAuth);\n \t\titer = parentLink.getHash().keys();\n \t\twhile( (keyword=(String)iter.next()) != null)\n\t\t{\n\t\t\toneWeight = (Double) hubWeight.getEntry(keyword);\n\t\t\thubWeight.addEntry(keyword, oneWeight/totalHubPrev);\n\t\t\toneWeight = (Double) authWeight.getEntry(keyword);\n\t\t\tauthWeight.addEntry(keyword, oneWeight/totalAuthPrev);\n\t\t}\n \t\tprintHubAuth();\n\t}","public double computePageRank(URI pageUri) {\n \treturn this.pageRanks.containsKey(pageUri) ? this.pageRanks.get(pageUri) : 0.0;\n }","public List<Page> normalize(List<Page> pages) {\n\t\tdouble hubTotal = 0;\n\t\tdouble authTotal = 0;\n\t\tfor (Page p : pages) {\n\t\t\t// Sum Hub scores over all pages\n\t\t\thubTotal += Math.pow(p.hub, 2);\n\t\t\t// Sum Authority scores over all pages\n\t\t\tauthTotal += Math.pow(p.authority, 2);\n\t\t}\n\t\t// divide all hub and authority scores for all pages\n\t\tfor (Page p : pages) {\n\t\t\tif (hubTotal > 0) {\n\t\t\t\tp.hub /= hubTotal;\n\t\t\t} else {\n\t\t\t\tp.hub = 0;\n\t\t\t}\n\t\t\tif (authTotal > 0) {\n\t\t\t\tp.authority /= authTotal;\n\t\t\t} else {\n\t\t\t\tp.authority = 0;\n\t\t\t}\n\t\t}\n\t\treturn pages; // with normalised scores now\n\t}","public List<Page> hits(String query) {\n\t\t// pages <- EXPAND-PAGES(RELEVANT-PAGES(query))\n\t\tList<Page> pages = expandPages(relevantPages(query));\n\t\t// for each p in pages\n\t\tfor (Page p : pages) {\n\t\t\t// p.AUTHORITY <- 1\n\t\t\tp.authority = 1;\n\t\t\t// p.HUB <- 1\n\t\t\tp.hub = 1;\n\t\t}\n\t\t// repeat until convergence do\n\t\twhile (!convergence(pages)) {\n\t\t\t// for each p in pages do\n\t\t\tfor (Page p : pages) {\n\t\t\t\t// p.AUTHORITY <- &Sigma<sub>i</sub> INLINK<sub>i</sub>(p).HUB\n\t\t\t\tp.authority = SumInlinkHubScore(p);\n\t\t\t\t// p.HUB <- Σ<sub>i</sub> OUTLINK<sub>i</sub>(p).AUTHORITY\n\t\t\t\tp.hub = SumOutlinkAuthorityScore(p);\n\t\t\t}\n\t\t\t// NORMALIZE(pages)\n\t\t\tnormalize(pages);\n\t\t}\n\t\treturn pages;\n\n\t}","private void shareTotalScore(String typeOfShare) {\n final String fbType = getResources().getString(R.string.action_share_on_facebook);\n\n if (typeOfShare.equals(fbType)) {\n // Share total score on Facebook social network\n shareOnFacebook();\n } else {\n // Share total score on P2A web\n shareOnP2A();\n }\n }","public abstract double getLinkProbability(int linkId);","void readWriteFile() throws IOException{\n\t\t\t\t\n\t\t// Sorting before writing it to the file\n\t Map<String, Double> sortedRank = sortByValues(PageRank); \n\t\t\n // below code is used for finding the inlinks count, Comment the probablity sum in below iterator if uncommenting this line\n\t\t//Map<String, Integer> sortedRank = sortByinlinks(inlinks_count);\n\t\t\n\n\t\t//Writing it to the file\n\t\tFile file = new File(\"C:/output.txt\");\n\t\tBufferedWriter output = new BufferedWriter(new FileWriter(file,true));\n\t\tIterator iterator = sortedRank.entrySet().iterator();\n\t\tdouble s = 0.0;\n\t\t\twhile(iterator.hasNext()){\n\t\t\t\tMap.Entry val = (Map.Entry)iterator.next();\n\t\t\t\toutput.write(val.getKey() +\"\\t\"+ val.getValue()+ \"\\n\");\t\t\t\t\n\t\t\t\ts= s+ (double)val.getValue(); //Adding the Probablity ; Comment this line if using Inlink calculation\n\t\t\t}\n\t\t\tSystem.out.println(\"Probablity Sum : \"+s); //After convergence should be 1; ; Comment this line if using Inlink calculation\n\t\t\toutput.flush();\n\t\t\toutput.close();\n\t}","private void htmlGlobalTagStatistics() throws MalformedURLException {\n\t\tfinal List<String> anchorLinks = new ArrayList<>();\n\t\tfinal List<String> imgLinks = new ArrayList<>();\n\t\tfinal List<String> anchorImgLinks = new ArrayList<>();\n\t\tfinal List<Integer> countNbImgGif = new ArrayList<>();\n\t\tfinal List<Integer> countNbScriptOutside = new ArrayList<>();\n\t\thtmlParsed.traverse(new NodeVisitor(){\n\t\t\tString attributeValue = \"\";\n\t\t\tpublic void head(Node node, int depth){\n\t\t\t\tif (node instanceof Element){\n\t\t\t\t\tElement tag = (Element) node;\n\t\t\t\t\tif(tag.tagName().equals(\"a\")){\n\t\t\t\t\t\tattributeValue = tag.attr(\"href\");\n\t\t\t\t\t\tif(attributeValue.length() > 0) {\n\t\t\t\t\t\t\tanchorLinks.add(attributeValue);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse if(tag.tagName().equals(\"img\")){\n\t\t\t\t\t\tattributeValue = tag.attr(\"src\");\n\t\t\t\t\t\tif(attributeValue.length() > 0){\n\t\t\t\t\t\t\timgLinks.add(attributeValue);\n\t\t\t\t\t\t\tif(attributeValue.endsWith(\".gif\")){\n\t\t\t\t\t\t\t\tcountNbImgGif.add(1);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif(tag.parent().tagName().equals(\"a\")) {\n\t\t\t\t\t\t\t\tanchorImgLinks.add(attributeValue);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse if(tag.tagName().equals(\"script\")){\n\t\t\t\t\t\tattributeValue = tag.attr(\"src\");\n\t\t\t\t\t\tif(attributeValue.length() > 0)\n\t\t\t\t\t\t\tcountNbScriptOutside.add(1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t public void tail(Node node, int depth) {\n\t\t }\n\t\t});\t\n\t\t\n\t\tint nbYearImgLink = anchorImgLinks.stream()\n\t\t\t\t.mapToInt(ClassificationGeneralFunctions::countNbOfYears)\n\t\t\t\t.sum();\n\t\t\t\t\n\t\tint nbYearAnchorLink = 0;\n\t\tint nbLinkSameDomain = 0;\n\t\tint nbLinkOutside = 0;\n\t\tint nbHrefJavascript = 0;\n\t\tString domain = new URL(url).getHost().toLowerCase();\n\t\tfor(String link: anchorLinks){\n\t\t\tlink = link.toLowerCase();\n\t\t\tnbYearAnchorLink += ClassificationGeneralFunctions.countNbOfYears(link);\n\t\t\tif(link.startsWith(\"http\")){\n\t\t\t\tif(link.contains(domain)) {\n\t\t\t\t\tnbLinkSameDomain += 1;\n\t\t\t\t}else {\n\t\t\t\t\tnbLinkOutside += 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\telse{\n\t\t\t\tif(link.startsWith(\"javascript\")){\n\t\t\t\t\tnbHrefJavascript += 1;\n\t\t\t\t}else {\n\t\t\t\t\tnbLinkSameDomain += 1;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\thtmlStatistics.put(\"img\", (double) imgLinks.size());\n\t\thtmlStatistics.put(\"img_gif\",(double) countNbImgGif.size());\n\t\thtmlStatistics.put(\"script_outside\", (double) countNbScriptOutside.size());\n\t\thtmlStatistics.put(\"anchor_with_image\", (double) anchorImgLinks.size());\n\t\thtmlStatistics.put(\"year_link_img\", (double) nbYearImgLink);\n\t\thtmlStatistics.put(\"year_link_anchor\", (double) nbYearAnchorLink);\n\t\thtmlStatistics.put(\"links_same_domains\", (double) nbLinkSameDomain);\n\t\thtmlStatistics.put(\"links_to_outside\", (double) nbLinkOutside);\n\t\thtmlStatistics.put(\"href_javascript\", (double) nbHrefJavascript);\n\t}","public int getHomeScore();","@External\n public BigInteger sumIH(BigInteger a, BigInteger b) {\n return null;\n }","private void histogramScore() {\r\n View.histogram(score, 0, this.getSize().width + 15, 0);\r\n }","@Override\n\t\tpublic int hashCode() {\n\t\t\treturn (int) (this.sum * 100 + this.index);\n\t\t}","public Iterator rankOrdering(Iterator pages)\n\t{\n\t\t//Iterator allWebNode = ind.retrievePages(keyword);\n\t\tIterator allWebNode = pages;\n\t\tif(allWebNode.hasNext()){\n\t\t\tWebNode wb = (WebNode) allWebNode.next();\n\t\t\tint score = wb.getInDegree() * wb.getWordFreq(keyword);\n\t\t\twb.keywordScore = score;\n\t\t\taL.add(wb); \n\t\t}\n\t\t\n\t\twhile (allWebNode.hasNext()) {\n\t\t\tWebNode nwb = (WebNode) allWebNode.next();\n\t\t\tint nscore = nwb.getInDegree() * nwb.getWordFreq(keyword);\n\t\t\tnwb.keywordScore = nscore;\n\t\t\tint i = 0; \n\t\t\twhile(i<aL.size()){\n\t\t\t\tif (nwb.keywordScore < ((WebNode) aL.get(i)).keywordScore)\n\t\t\t \ti++;\n\t\t\t else\n\t\t\t \taL.add(i,nwb);\n\t\t\t} \n\t\t}\n\t\t\n\t\treturn aL.iterator();\n\t}","public List<Link> generateLinkScore(ArrayList<Link> linkList) {\n\n for (Link link : linkList) {\n long difference = ChronoUnit.SECONDS.between(link.getTimeOfCreation(), LocalDateTime.now());\n link.setTimeDiffInSeconds(difference);\n long denominator = (difference + SECONDS_IN_TWO_HOURS);\n // numerator needs to account for personal vote?\n //\n link.setKarma(link.getUpVotes() - link.getDownVotes());\n //get yadalist size from db call instead of link.getYadaList().size\n int count = yadas.countByLink(link);\n link.setLinkScore(((link.getKarma() - count) / (Math.pow(denominator, GRAVITY))));\n links.save(link);\n }\n return linkList;\n }","static void printStatistics(Mesh mesh, Graph graph) {\n\t\t\n\t\t//System.out.println(\" Clustering result: vertices=\" + mesh.getNumVertices());\n\t\t\n\t\tint sumEdges = 0, sumConnected = 0;\n\t\tint sumHubCsize = 0, sumHub = 0;\n\t\t\n\t\tfor(int i = 0; i < mesh.getNumVertices(); i++) {\n\t\t\tVertex v1 = mesh.getVertex(i);\n\t\t\tArrayList<Node> nodes1 = v1.getNodes();\n\t\t\tfor(int j = (i + 1); j < mesh.getNumVertices(); j++) {\n\t\t\t\tVertex v2 = mesh.getVertex(j);\n\t\t\t\tArrayList<Node> nodes2 = v2.getNodes();\n\t\t\t\t\n\t\t\t\tint count = 0;\n\t\t\t\tfor(int ii = 0; ii < nodes1.size(); ii++) {\n\t\t\t\t\tNode n1 = nodes1.get(ii);\t\n\t\t\t\t\tfor(int jj = 0; jj < nodes2.size(); jj++) {\n\t\t\t\t\t\tNode n2 = nodes2.get(jj);\n\t\t\t\t\t\tif(graph.isTwoNodeConnected(n1, n2) == true)\n\t\t\t\t\t\t\tcount++;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(count > 0) {\n\t\t\t\t\tsumEdges += count; sumConnected++;\n\t\t\t\t\tint id = count / 1;\n\t\t\t\t\tid = (id > 10) ? 10 : id;\n\t\t\t\t\tnumedgeHisto[id]++;\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\tfor(int ii = 0; ii < nodes1.size(); ii++) {\n\t\t\t\tNode n1 = nodes1.get(ii);\t\n\t\t\t\tint nc = n1.getNumConnectedEdge() + n1.getNumConnectingEdge();\n\t\t\t\tif(nc < graph.maxDegree * 0.333333) continue;\n\t\t\t\tsumHub++; sumHubCsize += nodes1.size();\n\t\t\t}\n\t\t}\n\t\t\n\t\tdouble aveHubCsize = (double)sumHubCsize / (double)sumHub;\n\t\t//System.out.println(\" ... sumHub=\" + sumHub + \" aveHubCsize=\" + aveHubCsize);\n\t\t\n\t\tdouble aveEdges = (double)sumEdges / (double)sumConnected;\n\t\t//System.out.println(\" ... sumEdges=\" + sumEdges + \" aveEdges=\" + aveEdges);\n\t\t\n\t\t/*\n\t\tfor(int i = 0; i <= 10; i++)\n\t\t\tSystem.out.print(\" histo[\" + i + \"]=\" + numedgeHisto[i]);\n\t\tSystem.out.println(\"\");\n\t\t*/\n\t\n\t\t/*\n\t\tint numInEdge = 0;\n\t\tfor(Edge edge : graph.edges) {\n\t\t\tNode nodes[] = edge.getNode();\n\t\t\tif(nodes[0].getVertex() == nodes[1].getVertex())\n\t\t\t\tnumInEdge++;\n\t\t}\n\t\tSystem.out.println(\" numInEdge=\" + numInEdge);\n\t\t*/\n\t}","public float[] updatePageRank(float[] pageRank, int[][] connectionsArray, int n, float[] outdegreeCount) {\n\t\tfloat prconst = (float) ((1d - D));\n\t\tboolean noChange = true;\n\t\tfloat[] pageRankTmp = new float[pageRank.length];\n\t\tdo {\n\t\t\tnoChange = true;\n\t\t\t// initiate sum operation of the pagerank\n\t\t\tfor (int fromPageidIndex = 0; fromPageidIndex < connectionsArray.length; fromPageidIndex++) {\n\t\t\t\tif (connectionsArray[fromPageidIndex] != null)\n\t\t\t\t\tfor (int toPageidIndex = 0; toPageidIndex < connectionsArray[fromPageidIndex].length; toPageidIndex++) {\n\t\t\t\t\t\tpageRankTmp[connectionsArray[fromPageidIndex][toPageidIndex]] = pageRankTmp[connectionsArray[fromPageidIndex][toPageidIndex]]\n\t\t\t\t\t\t\t\t+ (pageRank[fromPageidIndex] / outdegreeCount[fromPageidIndex]);\n\t\t\t\t\t}\n\t\t\t}\n\t\t\tfor (int i = 1; i < pageRankTmp.length; i++) {\n\t\t\t\tpageRankTmp[i] = prconst + pageRankTmp[i];\n\t\t\t\tif (noChange && (pageRank[i] - pageRankTmp[i] > 0.00002f)\n\t\t\t\t\t\t|| (pageRank[i] - pageRankTmp[i] < -0.00002f)) {\n\t\t\t\t\tnoChange = false;\n\t\t\t\t}\n\n\t\t\t}\n\t\t\tfor (int i = 0; i < pageRank.length; i++) {\n\t\t\t\tpageRank[i] = pageRankTmp[i];\n\t\t\t\tpageRankTmp[i] = 0f;\n\t\t\t}\n\t\t} while (!noChange);\n\t\treturn pageRank;\n\t}","public void hitAlienScore() {\r\n //Add 5 to the score\r\n score += 5;\r\n System.out.println(\"Current Score = \"+score);\r\n }","private double computeTotalInterest(Map<Integer, Double> interestMap) {\n\t\tdouble totalInterest = 0.0;\n\t\tif(null != interestMap) {\n\t\tfor (Map.Entry<Integer, Double> entry : interestMap.entrySet())\n\t\t\ttotalInterest = totalInterest + entry.getValue();\n\t\t}\n\t\tDecimalFormat f = new DecimalFormat(\"##.00\");\n\t\tString fmtInterest = f.format(totalInterest);\n\n\t\treturn Double.valueOf(fmtInterest);\n\t}","public static List<Hit> getHubHits(Block paramBlock)\r\n/* 55: */ {\r\n/* 56: 83 */ return null;\r\n/* 57: */ }","Map<String, Integer> sortByinlinks(Map<String, Integer> inlinks_sort){\n\tList<Map.Entry<String,Integer>> ranklist = new LinkedList<Map.Entry<String,Integer>>(inlinks_sort.entrySet());\n\tCollections.sort(ranklist, new Comparator<Map.Entry<String, Integer>>(){\n\t\tpublic int compare(Map.Entry<String,Integer> o1, Map.Entry<String,Integer> o2){\n\t\t\treturn o2.getValue().compareTo(o1.getValue() );\n\t\t}\n\t});\n\t\n\tMap<String, Integer> sortedRank = new LinkedHashMap<String,Integer>();\n\tfor(Map.Entry<String, Integer> rank : ranklist){\n\t\tsortedRank.put(rank.getKey(), rank.getValue());\t\t\t\n\t}\n\t\n\treturn sortedRank;\n\t}","public static void sumTotalScore() {\n totalScore += addRandomScore();;\n }","public Integer getBackLinksCount(String domain) {\n\n try {\n Thread.sleep(10000);\n } catch (Exception e) {\n l.debug(e + \" \" + e.getMessage());\n e.printStackTrace();\n }\n String accessID = \"xxxxxxxxxxxxxxxxxxxxxxxxxx\";\n String secretKey = \"xxxxxxxxxxxxxxxxxxxxxxxxx\";\n Authenticator authenticator = new Authenticator();\n authenticator.setAccessID(accessID);\n authenticator.setSecretKey(secretKey);\n\n URLMetricsService urlMetricsService = new URLMetricsService(authenticator, appContext);\n // URLMetricsService urlMetricsService = new URLMetricsService(authenticator);\n String response = urlMetricsService.getUrlMetrics(domain);\n Gson gson = new Gson();\n UrlResponse res = gson.fromJson(response, UrlResponse.class);\n String x = res.getUeid();\n //System.out.println(\"domain\" + domain + \"cOUNT\" + res.getUeid());\n if (x == null || x.equalsIgnoreCase(\"\") || x.equalsIgnoreCase(\"blank\") || x.equalsIgnoreCase(\"null\")) {\n return 0;\n } else {\n return Integer.valueOf(x);\n }\n }","private void tagInHeadStatistics(){\n\t\tfinal List<Integer> countNbLinkHead = new ArrayList<>();\n\t\tfinal List<Integer> countNbCssHead = new ArrayList<>();\n\t\tfinal List<Integer> countNbScriptHead = new ArrayList<>();\n\t\tfinal List<Integer> countNbCssLinkHead = new ArrayList<>();\n\t\tElement head = htmlParsed.select(\"head\").first();\n\t\thead.traverse(new NodeVisitor(){\n\t\t\tString attributeValue = \"\"; \n\t\t\tpublic void head(Node node, int depth){\n\t\t\t\tif (node instanceof Element){\n\t\t\t\t\tElement tag = (Element) node;\n\t\t\t\t\tif(tag.tagName().equals(\"script\"))\n\t\t\t\t\t\tcountNbScriptHead.add(1);\n\t\t\t\t\telse if(tag.tagName().equals(\"style\"))\n\t\t\t\t\t\tcountNbCssHead.add(1);\n\t\t\t\t\telse if(tag.tagName().equals(\"link\")){\n\t\t\t\t\t\tcountNbLinkHead.add(1);\n\t\t\t\t\t\tattributeValue = tag.attr(\"rel\");\n\t\t\t\t\t\tif(attributeValue.equals(\"stylesheet\"))\n\t\t\t\t\t\t\tcountNbCssLinkHead.add(1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tpublic void tail(Node node, int depth) {\n\t\t }\n\t\t});\n\t\thtmlStatistics.put(\"link_head\",(double) countNbLinkHead.size());\n\t\thtmlStatistics.put(\"css_code_head\", (double) countNbCssHead.size());\n\t\thtmlStatistics.put(\"script_tag_head\", (double) countNbScriptHead.size());\n\t\thtmlStatistics.put(\"link_css_head\", (double) countNbCssLinkHead.size());\n\t}","public static SiftKnnContainer voteAggregate( SiftKnnContainer a, SiftKnnContainer b) {\n Map<Integer, Integer> votes = new HashMap<>();\n int qpsum = 0;\n a.sortKnnList();\n if ( a.getDoScan() ) {\n // scan k-NN that has distance values ..\n int[] list = a.getKnnList();\n for (int i=0; i<list.length; ++i) {\n if ( votes.containsKey( list[i] ) ) {\n int val = votes.get(list[i]).intValue();\n votes.put( list[i], val+1);\n } else {\n votes.put( list[i], 1 );\n }\n }\n qpsum += 1;\n } else {\n // a is an already a vote-aggregate k-NN so distance part contains aggregated votes\n knnPair[] listpairs = a.getknnPairArray();\n // since votes is empty we simply put all the values into the map\n for (int i=0; i< listpairs.length; ++i ) {\n votes.put( listpairs[i].pointID, listpairs[i].distance );\n }\n qpsum += a.getcID();\n }\n\n if ( b.getDoScan() ) {\n // by now we have put stuff inn the map\n int[] list = b.getKnnList();\n for (int i = 0; i < list.length; ++i) {\n if (votes.containsKey(list[i])) {\n // increment if already in the list\n int val = votes.get(list[i]).intValue();\n votes.put( list[i], val+1);\n }else {\n votes.put(list[i], 1);\n }\n }\n qpsum += 1;\n } else {\n // b is a list so the distances are vote-counts\n knnPair[] listpairs = b.getknnPairArray();\n for (int i=0; i<listpairs.length; ++i ) {\n if (!votes.containsKey(listpairs[i].pointID)) {\n // set the current count as no counts existed before\n votes.put( listpairs[i].pointID, listpairs[i].distance );\n } else {\n // some votes aggregates exist in the map so we sum.\n int val = votes.get(listpairs[i].pointID).intValue();\n votes.put( listpairs[i].pointID, listpairs[i].distance + val );\n }\n }\n qpsum += b.getcID();\n }\n // get the keys\n Set<Integer> keys = votes.keySet();\n\n //* filter the number of results, throw away 1-votes if too many\n if ( keys.size() > 3000 ) {\n Set<Integer> keep = new HashSet<Integer>(0);\n int maxValue = 1;\n for (Integer key : keys) {\n int vc = votes.get(key).intValue();\n if ( vc > 1 ) {\n keep.add(key);\n }\n }\n if (keep.size() > 30) {\n keys = keep;\n }\n } // */\n // make a new container for the results\n SiftKnnContainer ret = new SiftKnnContainer( keys.size() );\n ret.haltScan();\n ret.setcID(qpsum);\n for( Integer key : keys) {\n ret.add(key.intValue(), votes.get(key).intValue());\n }\n ret.sortKnnList();\n return ret;\n }","private IDictionary<String, Double> computeIdfScores(ISet<Webpage> pages) {\n\t\tidfScores = new ChainedHashDictionary<String, Double>();\n\t\tIDictionary<String, Double> docCount = new ChainedHashDictionary<String, Double>();\n\t\t\n\t\t// Iterates through every webpage and maps all of the unique word counts for that page\n\t\tfor (Webpage page: pages) {\n\t\t\tIList<String> words = page.getWords();\n\t\t\tISet<String> keySet = getKeySet(words);\n\t\t\tfor (String word: keySet) {\n\t\t\t\tif (!docCount.containsKey(word)) {\n\t\t\t\t\tdocCount.put(word, 1.0);\n\t\t\t\t} else {\n\t\t\t\t\tdocCount.put(word, docCount.get(word) + 1.0);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\t\t\n\t\tDouble totalDocuments = (double) pages.size();\n\t\t\n\t\t// Updates IDF scores\n\t\tfor (KVPair<String, Double> pair: docCount) {\n\t\t\tidfScores.put(pair.getKey(), Math.log(totalDocuments / pair.getValue()));\n\t\t}\n\t\treturn idfScores;\n }","public int getOutLinkBoundary() {\n return 0;\n }","private static double bucketForScore(double score, double bucketSize) {\r\n\t\tint bucket = (int) (score / bucketSize);\r\n\t\tif (bucket == 0) {\r\n\t\t\tbucket = 1;\r\n\t\t} else if (score % bucketSize > 0) {\r\n\t\t\tbucket++;\r\n\t\t}\r\n\t\treturn bucket;\r\n\t}","void hashLexicons(Email email) {\n for (String s : email.processedMessage.keySet()) {\n int tempCount = email.processedMessage.get(s);\n \n if(email.ec==EmailClass.ham)\n {\n totalNumberOfWordsInHamDocuments= totalNumberOfWordsInHamDocuments+tempCount;\n }\n else\n {\n totalNumberOfWordsInSpamDocuments = totalNumberOfWordsInSpamDocuments +tempCount;\n }\n //totalNumberOfWords = totalNumberOfWords + tempCount;\n if (words.containsKey(s)) {\n LexiconCount lc = words.get(s);\n long hc = lc.numberOfOccurencesInHamDocuments;\n long sc = lc.numberOfOccurencesInSpamDocuments;\n\n if (email.ec == EmailClass.ham) {\n hc = hc + tempCount;\n } else {\n sc = sc + tempCount;\n }\n words.put(s, new LexiconCount(hc, sc));\n } else {\n long hc=0,sc=0;\n if(email.ec==EmailClass.ham)\n {\n hc=tempCount;\n }\n else\n {\n sc=tempCount;\n }\n words.put(s, new LexiconCount(hc,sc));\n }\n }\n }","private int calculateTotalHeads() { //kept a separate method with a specific purpose instead of writing code in main\n\t\t//no need to static method, althouth static won't hurt in such a small code\n\t\tint headsCount = 0;\n\t\tfor (int currentCoinNo = 1; currentCoinNo <= noCoins; currentCoinNo++) { \n\t\t\tif(isHead(currentCoinNo)) {\n\t\t\t\theadsCount++;\n\t\t\t}\n\t\t}\n\t\treturn headsCount;\n\t}","public double agile(double scrum,double sub,double essay,double exam)\n {\n double a = ((25%100)*scrum)/100;\n double b = ((5%100)*sub)/100;\n double c = ((20%100)*essay)/100;\n double d = ((50%100)*exam)/100;\n double grade = ((a+b+c+d)/8);//*100;\n return grade;\n }","private void calculateOutgoingRankings(List<ClientInstructions> instructions) throws ReportingSystemException {\r\n\t\tallOutgoingRankings = outgoingRankingService.evaluateRanking(instructions, outgoingPredicate);\r\n\t}","public List<Link> generateControveryScore(ArrayList<Link> linkList) {\n\n for (Link link : linkList) {\n\n link.setControversyScore((link.getTotalVotes()) / Math.max((Math.abs(link.getUpVotes() - link.getDownVotes())), 1));\n links.save(link);\n\n }\n return linkList;\n }","public ScoreReduction (Score score)\r\n {\r\n this.score = score;\r\n\r\n for (TreeNode pn : score.getPages()) {\r\n Page page = (Page) pn;\r\n pages.put(page.getIndex(), page);\r\n }\r\n }","private void calculateIndividual(Instructor instructor)\n {\n \tint score = 0;\n \tInstructor courseInstructor;\n \tCourse course;\n \t\n \tint prefNum = 0;\n \tint numCourses = 0;\n \t\n \tint timeNum = 0;\n \t\n \tList<CoursePreference> coursePrefs = instructor.getAllClassPrefs();\t\n \tArrayList<Day> timePrefs = instructor.getTimePrefs(); \n \t\n \tfor (Section section : sections) {\n \t\tcourseInstructor = section.getInstructor();\n \t\t\n \t\tif (courseInstructor.equals(instructor)) {\n \t\t numCourses++;\n \t\t course = section.getCourse();\n \t\t \n \t\t for (CoursePreference pref : coursePrefs) {\n \t\t\t if (pref.course.equals(course)) {\n \t\t\t\t prefNum += pref.preference / 5;\n \t\t\t }\n \t\t }\n \t\t}\n \t}\n \t\n \tif (numCourses > 0) {\n \t\tprefNum /= numCourses;\n \t\ttimeNum /= numCourses;\n \t}\n \t\n \tscore = 100 * (prefNum + timeNum) / 2;\n \t\n this.individualAnalytics.add(new AnalyticsRow(instructor.getName(), score));\n allScores.add(score);\n }","@Override\n\tpublic int studytotalForSubject(String subject) {\n\t\treturn mapper.studytotalForSubject(subject);\n\t}","abstract public int getIncomeSegment( int hhIncomeInDollars );","public static void computeSummary() {\r\n\r\n String text = \"\\n\";\r\n\r\n //print the rank matrix\r\n\r\n text += \"\\\\begin{sidewaystable}[!htp]\\n\\\\centering\\\\scriptsize\\n\"\r\n + \"\\\\resizebox{\\\\textwidth}{!}{\\\\begin{tabular}{\\n\";\r\n text += \"|c\";\r\n for (int i = 0; i < columns; i++) {\r\n text += \"|r\";\r\n }\r\n text += \"|}\\n\\\\hline\\n\";\r\n\r\n for (int i = 0; i < columns; i++) {\r\n text += \"&(\" + (i + 1) + \") \";\r\n }\r\n text += \"\\\\\\\\\\n\\\\hline\\n\";\r\n for (int i = 0; i < columns; i++) {\r\n text += algorithms[i] + \" (\" + (i + 1) + \")\";\r\n for (int j = 0; j < columns; j++) {\r\n if (i != j) {\r\n text += \"& \" + wilcoxonRanks[i][j];\r\n } else {\r\n text += \"& -\";\r\n }\r\n }\r\n text += \"\\\\\\\\\\n\\\\hline\\n\";\r\n }\r\n\r\n text += \"\\n\" + \"\\\\end{tabular}}\\n\" + \"\\\\caption{Ranks computed by the Wilcoxon test}\\n\";\r\n text += \"\\n\\\\end{sidewaystable}\\n\";\r\n text += \"\\n \\\\clearpage \\n\\n\";\r\n\r\n Files.addToFile(outputSummaryFileName, text);\r\n\r\n //print the p-value matrix\r\n\r\n text = \"\\n\";\r\n\r\n text += \"\\\\begin{sidewaystable}[!htp]\\n\\\\centering\\\\scriptsize\\n\"\r\n + \"\\\\resizebox{\\\\textwidth}{!}{\\\\begin{tabular}{\\n\";\r\n text += \"|c\";\r\n for (int i = 0; i < columns; i++) {\r\n text += \"|c\";\r\n }\r\n text += \"|}\\n\\\\hline\\n\";\r\n\r\n for (int i = 0; i < columns; i++) {\r\n text += \"&(\" + (i + 1) + \") \";\r\n }\r\n text += \"\\\\\\\\\\n\\\\hline\\n\";\r\n\r\n if (rows <= 50) {\r\n for (int i = 0; i < columns; i++) {\r\n text += algorithms[i] + \" (\" + (i + 1) + \")\";\r\n for (int j = 0; j < columns; j++) {\r\n \r\n if (i < j) {//0.1\r\n text += \"& \" + getSymbol(i,j,exactPValues[i][j], exactPValues[j][i], 0.1) + \" \";\r\n }\r\n if (i == j) {\r\n text += \"& -\";\r\n }\r\n if (i > j) {//0.05\r\n text += \"& \" + getSymbol(i,j,exactPValues[i][j], exactPValues[j][i], 0.05) + \" \";\r\n }\r\n }\r\n \r\n text += \"\\\\\\\\\\n\\\\hline\\n\";\r\n }\r\n } else {\r\n for (int i = 0; i < columns; i++) {\r\n text += algorithms[i] + \" (\" + (i + 1) + \")\";\r\n for (int j = 0; j < columns; j++) {\r\n if (i < j) {//0.1\r\n text += \"& \" + getSymbol(i,j,asymptoticPValues[i][j], asymptoticPValues[j][i], 0.1) + \" \";\r\n }\r\n if (i == j) {\r\n text += \"& -\";\r\n }\r\n if (i > j) {//0.05\r\n text += \"& \" + getSymbol(i,j,asymptoticPValues[i][j], asymptoticPValues[j][i], 0.05) + \" \";\r\n }\r\n }\r\n text += \"\\\\\\\\\\n\\\\hline\\n\";\r\n }\r\n }\r\n\r\n text += \"\\n\" + \"\\\\end{tabular}}\\n\" + \"\\\\caption{Summary of the Wilcoxon test. \\\\textbullet = \"\r\n + \"the method in the row improves the method of the column. \\\\textopenbullet = \"\r\n + \"the method in the column improves the method of the row. Upper diagonal of level significance $\\\\alpha=0.9$,\"\r\n + \"Lower diagonal level of significance $\\\\alpha=0.95$}\\n\";\r\n text += \"\\n\\\\end{sidewaystable}\\n\";\r\n text += \"\\n \\\\clearpage \\n\\n\";\r\n\r\n Files.addToFile(outputSummaryFileName, text);\r\n\r\n text = \"\\n\";\r\n\r\n //print the summary table\r\n\r\n text += \"\\\\begin{table}[!htp]\\n\\\\centering\\\\scriptsize\\n\"\r\n + \"\\\\begin{tabular}{\\n\";\r\n text += \"|c|c|c|c|c|}\\n\\\\hline\\n\";\r\n text += \"&\\\\multicolumn{2}{c|}{$\\\\alpha=0.9$} & \\\\multicolumn{2}{c|}{$\\\\alpha=0.95$}\\\\\\\\\\\\hline\\n\";\r\n text += \"Method & + & $\\\\pm$ & + & $\\\\pm$ \";\r\n\r\n text += \"\\\\\\\\\\n\\\\hline\\n\";\r\n for (int i = 0; i < columns; i++) {\r\n text += algorithms[i]+\" & \"+wins90[i]+\" & \"+draw90[i]+\" & \"+wins95[i]+\" & \"+draw95[i];\r\n text += \"\\\\\\\\\\n\\\\hline\\n\";\r\n }\r\n\r\n text += \"\\n\" + \"\\\\end{tabular}\\n\" + \"\\\\caption{Wilcoxon test summary results}\\n\";\r\n text += \"\\n\\\\end{table}\\n\";\r\n text += \"\\n \\\\clearpage \\n\\n\";\r\n\r\n Files.addToFile(outputSummaryFileName, text);\r\n\r\n }","@Override\n \t\tpublic void match(PactString url, Tuple ranks, PactNull docs, Collector<PactString, Tuple> out) {\n \t\t\t\n \t\t\t// emit the key and the rank value\n \t\t\tout.collect(url, ranks);\n \t\t}","@Override\n \t\tpublic void coGroup(PactString url, Iterator<PactNull> visits, Iterator<Tuple> ranks, Collector<PactString, Tuple> out) {\n \t\t\t// Check if there is a entry in the visits relation\n \t\t\tif (!visits.hasNext()) {\n \t\t\t\twhile (ranks.hasNext()) {\n \t\t\t\t\t// Emit all rank pairs\n \t\t\t\t\tout.collect(url, ranks.next());\n \t\t\t\t}\n \t\t\t}\n \t\t}","@Override\n protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {\n String test = value.toString();\n test = test.replaceAll(\"\\t\", \" \").replaceFirst(\" \", \"\\t\");\n\n double basePageRank = 0;\n boolean hasPageRank = false;\n double pageRank = 0;\n /**\n * Pattern to distinguish our inserted numbers from numbers in titles\n * is: _!(numbers.numbers)\n */\n Pattern pt = Pattern.compile(\"(_!\\\\d+.\\\\S+)\");\n Matcher mt = pt.matcher(test);\n if (mt.find()) {\n pageRank = Double.parseDouble(mt.group(1).substring(2));\n hasPageRank = true;\n }\n /**\n * If it's the first iteration, distribute 1/N among outLinks\n */\n if (!hasPageRank) {\n try {\n pageRank = 1d / (context.getConfiguration().getInt(\"N\", 0));\n } catch (ArithmeticException ae) {\n /**\n * Catch division by zero (if 'N' was not set)\n */\n Logger.getLogger(PageRankMapper.class.getName()).log(Level.SEVERE, ae.getMessage(), ae);\n }\n }\n /**\n * Split input line into key,value\n */\n String[] split = test.split(\"\\t\");\n /**\n * Emit this node's (1-d)/N and it's adjacency outGraph if not empty\n */\n // d = 0.85\n basePageRank = (1 - 0.85) / (context.getConfiguration().getInt(\"N\", 0));\n String output = \"\";\n output += \"_!\" + basePageRank;\n if (split.length > 1) {\n //split[1] => outlinks string \n String[] outlinks = split[1].split(\" \");\n for (int i = hasPageRank ? 1 : 0; i < outlinks.length; i++) {\n output += \" \" + outlinks[i];\n }\n }\n context.write(new Text(split[0]), new Text(output.trim()));\n /**\n * Emit pageRank/|outLinks| to all outLinks if not empty: Split on \\t to\n * get separate key(index 0) from values(index 1), Split values on space\n * to separate out links(ignore the first(index 0),the pageRank, unless\n * hasPageRank=false)\n */\n if (split.length > 1) {\n String[] outlinks = split[1].split(\" \");\n /**\n * Input has no outLinks, only has basePageRank, already taken care\n * of in previous emit, return\n */\n if (hasPageRank && outlinks.length == 1) {\n return;\n }\n /**\n * d = 0.85\n */\n pageRank *= 0.85;\n /**\n * Divide pageRank over number of outLinks\n */\n pageRank /= hasPageRank ? (outlinks.length - 1) : outlinks.length;\n for (int i = hasPageRank ? 1 : 0; i < outlinks.length; i++) {\n context.write(new Text(outlinks[i]), new Text(\"_!\" + pageRank));\n }\n }\n }","private final float rankSum(final THashSet<Vertex> vNeighbours, Vertex v) {\r\n\t\t\r\n\t\tweightedOutProcedure.weightSum = 0;\r\n\t\tweightedOutProcedure.src = v;\r\n\t\t// Iterate over all incoming edges for v.\r\n\t\tvNeighbours.forEach(weightedOutProcedure);\r\n\t\t\r\n\t\trankSumProcedure.rankSum = 0;\r\n\t\trankSumProcedure.weightSum = weightedOutProcedure.weightSum;\r\n\t\trankSumProcedure.src = v;\r\n\t\t// Iterate over all incoming edges for v.\r\n\t\tvNeighbours.forEach(rankSumProcedure);\r\n\r\n\t\treturn rankSumProcedure.rankSum;\r\n\t}","private int calculateScore(ArrayList<HexCell> stack){\n int score = 0;\n for(HexCell current: stack){\n score += current.score;\n }\n return score;\n }","public double getPercentageIdentity(ValueEdge edge) {\n\t\tPair<HitVertex> pair = this.getEndpoints(edge);\n\t\tSubHit subHit[] = edge.getSubHit();\n\t\tint identitiesSum = 0;\n\t\tint lengthSum = 0;\n\t\tfor (int i = 0; i < subHit.length; i++) {\n\t\t\tidentitiesSum += subHit[i].getNumberOfIdentities();\n\t\t\tlengthSum += Math.max(\n\t\t\t\t\tsubHit[i].getQuerySequenceEnd()\n\t\t\t\t\t\t\t- subHit[i].getQuerySequenceStart(),\n\t\t\t\t\tsubHit[i].getSubjectSequenceEnd()\n\t\t\t\t\t\t\t- subHit[i].getSubjectSequenceStart());\n\t\t}\n\n\t\treturn identitiesSum * 100.0 / lengthSum;\n\t}","public void computeHistogram() {\n\t}","public Integer getInlinkCount() {\r\n\t\treturn inlinks.size();\r\n\t}","private void updatePublisherScore (String graph,\n \t\t\tString metadataGraph,\n \t\t\tDouble delta,\n \t\t\tInteger deltaCount) throws TransformerException {\n \t\ttry\n \t\t{\n \t\t\tfinal String publisher = getGraphPublisher(graph, metadataGraph);\n \n \t\t\tif (publisher != null) {\n \t\t\t\ttry {\n \t\t\t\t\tfinal String computeSumUpdated = String.format(Locale.ROOT, computeSumUpdatedQueryFormat, publisher);\n \t\t\t\t\tfinal String computeCountUpdated = String.format(Locale.ROOT, computeCountUpdatedQueryFormat, publisher);\n \n \t\t\t\t\tWrappedResultSet rsSum = getCleanConnection().executeSelect(computeSumUpdated);\n \t\t\t\t\tWrappedResultSet rsCount = getCleanConnection().executeSelect(computeCountUpdated);\n \n \t\t\t\t\tDouble score;\n \n \t\t\t\t\tif (rsSum.next() && rsCount.next()) {\n \t\t\t\t\t\t//Clean DB: the graph is also present in clean DB (only its score may change for the copy in dirty DB) => no division by zero\n \t\t\t\t\t\t//Dirty DB: deltaCount == 1 => no division by zero\n\t\t\t\t\t\t\n\t\t\t\t\t\tif (rsCount.getDouble(1) + deltaCount == 0)\n \t\t\t\t\t\t{\n \t\t\t\t\t\t\t//Very special cases => abort assignment of score for the current publisher\n \t\t\t\t\t\t\treturn;\n \t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\t\tscore = (rsSum.getDouble(1) + delta) / (rsCount.getDouble(1) + deltaCount);\n \n \t\t\t\t\t\tLOG.info(\"Publisher <\" + publisher + \"> scored \" + score + \".\");\n \t\t\t\t\t} else {\n \t\t\t\t\t\tthrow new QualityAssessmentException(\"Publisher has no score.\");\n \t\t\t\t\t}\n \n \t\t\t\t\tgetCleanConnection().adjustTransactionLevel(EnumLogLevel.TRANSACTION_LEVEL, false);\n \n \t\t\t\t\tfinal String dropOutdated = String.format(Locale.ROOT, dropOutdatedQueryFormat, ConfigLoader.getConfig().getQualityAssessmentGroup().getAggregatedPublisherScoreGraphURI(), publisher);\n \t\t\t\t\tgetCleanConnection().execute(dropOutdated);\n \n \t\t\t\t\tfinal String storeUpdated = String.format(Locale.ROOT, storeUpdatedQueryFormat, ConfigLoader.getConfig().getQualityAssessmentGroup().getAggregatedPublisherScoreGraphURI(), publisher, score);\n \t\t\t\t\tgetCleanConnection().execute(storeUpdated);\n \n \t\t\t\t\tgetCleanConnection().commit();\n \t\t\t\t} catch (DatabaseException e) {\n \t\t\t\t\tthrow new TransformerException(e);\n \t\t\t\t} catch (SQLException e) {\n \t\t\t\t\tthrow new TransformerException(e);\n \t\t\t\t}\n \t\t\t}\n \t\t} catch (QualityAssessmentException e) {\n \t\t\tthrow new TransformerException(e);\n \t\t}\n \t}","public Double calculateTotalMarks(Test onlineTest) throws UserException {\n\t\tDouble score = new Double(0.0);\n\t\tfor (Questions question : onlineTest.getTestQuestions()) {\n\t\t\tscore = score + question.getMarksScored();\n\t\t}\n\t\tonlineTest.setTestMarksScored(score);\n\ttDao.updateTest(onlineTest);\n\t\treturn score;\n\t}","@Override\n\tprotected double evaluate(final IChromosome a_subject) {\n\n\t\tdouble s = 0;\n\n\t\t// Get the genes represented by the chromosome\n\t\tGene[] genes = a_subject.getGenes();\n\n\t\t// Iterate through each of those genes\n\t\tfor (int i = 0; i < genes.length - 1; i++) {\n\n\t\t\t// Add all of the edge distances in the chromosome\n\t\t\ts += m_salesman.distance(genes[i], genes[i + 1]);\n\t\t}\n\n\t\t// add cost of coming back:\n\t\ts += m_salesman.distance(genes[genes.length - 1], genes[0]);\n\t\treturn s;\n\t}","public synchronized void addHist(ArrayList<int[]> subHistogram){\n int j;\n int[] colorHistogram; int[] subColorHistogram;\n for(int i=0;i<3;i++){\n colorHistogram = histogram.get(i);\n subColorHistogram = subHistogram.get(i);\n for(j=0;j<256;j++){\n colorHistogram[j] += subColorHistogram[j];\n }\n histogram.set(i,colorHistogram);\n }\n }","private float calculateSimilarityScore(int numOfSuspiciousNodesInA, int numOfSuspiciousNodesInB) {\n\t\t// calculate the similarity score\n\t\treturn (float) (numOfSuspiciousNodesInA + numOfSuspiciousNodesInB) \n\t\t\t\t/ (programANodeList.size() + programBNodeList.size()) * 100;\n\t}","public int calculateSumOfHouse() {\n int sum = 0;\n for (int i = 0; i < pointsHistory.size(); i++) {\n sum += pointsHistory.get(i);\n }\n return sum;\n }","@Override\r\n public void visit(Page page) {\r\n String url = page.getWebURL().getURL();\r\n System.out.println(\"URL: \" + url);\r\n\r\n if (page.getParseData() instanceof HtmlParseData) {\r\n HtmlParseData htmlParseData = (HtmlParseData) page.getParseData();\r\n String text = htmlParseData.getText();\r\n String html = htmlParseData.getHtml();\r\n List<WebURL> links = htmlParseData.getOutgoingUrls();\r\n\r\n System.out.println(\"Text length: \" + text.length());\r\n System.out.println(\"Html length: \" + html.length());\r\n System.out.println(\"Number of outgoing links: \" + links.size());\r\n\r\n try {\r\n Configuration config = new Configuration();\r\n System.setProperty(\"HADOOP_USER_NAME\", \"admin\");\r\n FileSystem fileSystem = FileSystem.get(new URI(\"hdfs://192.168.51.116:8022/\"), config);\r\n FSDataOutputStream outStream = fileSystem.append(new Path(\"/user/admin/crawler-results.txt\"));\r\n\r\n IOUtils.write(text.replace('\\n', ' '), outStream);\r\n outStream.flush();\r\n IOUtils.closeQuietly(outStream);\r\n } catch (Exception ex) {\r\n ex.printStackTrace();\r\n throw new RuntimeException(ex);\r\n }\r\n }\r\n }","double calcScoreFromObjCount(double[] c_in, double[] c_out) {\r\n\t\t// / multi-class\r\n\t\tdouble diff, sum = 0, max_val = Double.NEGATIVE_INFINITY, min_val = Double.POSITIVE_INFINITY;\r\n\t\tfor (int i = 0; i < num_class; i++) {\r\n\t\t\tdiff = (c_in[i] - c_out[i]);\r\n\t\t\tif (diff > max_val) {\r\n\t\t\t\tmax_val = diff;\r\n\t\t\t}\r\n\t\t\tif (diff < min_val) {\r\n\t\t\t\tmin_val = diff;\r\n\t\t\t}\r\n\t\t\tsum += Math.abs(diff);\r\n\t\t}\r\n\t\treturn (sum - Math.abs(max_val) - Math.abs(min_val)) + Math.abs(max_val - min_val);\r\n\t}","public double getTrafficOverLinkBetween(int otherASN) {\n return this.trafficOverNeighbors.get(otherASN);\n }","protected abstract void calcScores();","private void calculateOverall()\n {\n ArrayList<Integer> average = new ArrayList<Integer>(1);\n ArrayList<Integer> median = new ArrayList<Integer>(1);\n ArrayList<Integer> mode = new ArrayList<Integer>();\n ArrayList<Integer> stdDev = new ArrayList<Integer>(1);\n \n int avg = 0;\n int med = 90;\n int mod = 90;\n int dev = 0;\n \n int[] modeArray = new int[100];\n \n for (int i = 0; i < 100; i++) {\n \tmodeArray[i] = 0;\n }\n \n for (Integer score : allScores) {\n \tavg += score;\n \tmodeArray[score]++;\n }\n \n for (int i = 0; i < 100; i++) {\n \tif (modeArray[i] > mod) {\n \t\tmod = modeArray[i];\n \t}\n }\n \n avg = avg / allScores.size();\n \n Collections.sort(allScores);\n med = allScores.get(allScores.size() / 2);\n \n for (Integer score : allScores) {\n \tdev += Math.pow(score - avg, 2);\n }\n dev = (int)Math.floor(Math.sqrt(dev / allScores.size()));\n\n // TODO: Perform the actual calculations here\n average.add(avg);\n median.add(med);\n mode.add(mod);\n stdDev.add(dev);\n\n this.overallAnalytics.put(\"Average\", average);\n this.overallAnalytics.put(\"Median\", median);\n this.overallAnalytics.put(\"Mode\", mode);\n this.overallAnalytics.put(\"Standard Deviation\", stdDev);\n }","protected void addSummaryDetailLinks(Content subDiv) {\n try {\n Content div = HtmlTree.DIV(getNavSummaryLinks());\n div.addContent(getNavDetailLinks());\n subDiv.addContent(div);\n } catch (Exception e) {\n e.printStackTrace();\n throw new DocletAbortException(e);\n }\n }","public void reduce ()\r\n {\r\n if (score.getPages().isEmpty()) {\r\n return;\r\n }\r\n\r\n /* Connect parts across the pages */\r\n connection = PartConnection.connectScorePages(pages);\r\n\r\n // Force the ids of all ScorePart's\r\n numberResults();\r\n\r\n // Create score part-list and connect to pages and systems parts\r\n addPartList();\r\n\r\n // Debug: List all candidates per result\r\n if (logger.isDebugEnabled()) {\r\n dumpResultMapping();\r\n }\r\n }","public void addScore(double _score, User _user, int _app, double _weight, String date_n_time)\r\n\t{\r\n\t\tUserProgressEstimator upe = user_knowledge_levels.findById(\r\n\t\t\t_user.getId() );\r\n\t\tif(upe==null) // add new UserProgressEstimator\r\n\t\t{\r\n\t\t\tint estimator_type = 0;\r\n\t\t\tswitch (domain.getId())\r\n\t\t\t{\r\n\t\t\t\t// concepts\r\n\t\t\t\tcase 1:\r\n\t\t\t\tcase 8:\r\n\t\t\t\tcase 9:\r\n\t\t\t\tcase 11:\r\n\t\t\t\tcase 12:\r\n\t\t\t\tcase 15:\r\n\t\t\t\tcase 16:\r\n\t\t\t\t\testimator_type = iProgressEstimator.ESTIMATOR_ASSYMPTOTIC;\r\n\t\t\t\tbreak;\r\n\t\t\t\tcase 0:\r\n\t\t\t\tbreak;\r\n\t\t\t\t// topics\r\n\t\t\t\tcase 2: \r\n\t\t\t\tcase 6: \r\n\t\t\t\tcase 7: \r\n\t\t\t\tcase 10: \r\n\t\t\t\t\testimator_type = iProgressEstimator.ESTIMATOR_MEAN;\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t\t//t \r\n\t\t\t//c \r\n\t\t\t\r\n\t\t\t\r\n\t\t\tupe = new UserProgressEstimator(_user.getId(),\r\n\t\t\t\t_user.getTitle(), _user, 0, estimator_type);\r\n\t\t\tuser_knowledge_levels.add(upe);\r\n\t\t}\r\n\t\t\r\n\t\tint level_idx = ResourceMap.mapToBloomLevelIndex(_app, _score);\r\n//\t\tif((level_idx==0) && _score<0)\r\n//\t\t\t_score = Math.abs(_score);\r\n//if(this.getId()==14)\t\t\t\r\n//{\r\n//System.out.println(\"### [CBUM] Concept.addScore C.Id=\" + this.getId() +\" _score=\" + _score + \" _weight= \" + _weight + \" outcome_w_sum=\" + outcome_w_sum); /// DEBUG\r\n//}\r\n\r\n//if(this.getId()==190)\r\n//{\r\n//System.out.println(\"### [CBUM] Concept.addScore User=\"+_user.getTitle()+\" score=\"+_score + \" weight=\" + _weight); /// DEBUG\r\n//System.out.println(\"### [CBUM] Concept.addScore \\tcog_level_name=\" + iProgressEstimator.BLOOM_NAMES[level_idx] ); /// DEBUG\r\n//System.out.println(\"### [CBUM] Concept.addScore \\tcog_level_OLD=\" + upe.getKnowledgeLevels()[level_idx].getProgress() ); /// DEBUG\r\n//}\r\n//System.out.println(this.getTitle() + \" _app = \" + _app + \" level_idx = \" + level_idx);\r\n\t\tif(level_idx != -1)\r\n\t\t\tupe.getKnowledgeLevels()[level_idx].addProgress(_score, _weight,\r\n\t\t\t\toutcome_w_sum, date_n_time);\r\n//if(this.getId()==190)\r\n//{\r\n//System.out.println(\"### [CBUM] Concept.addScore \\tcog_level_NEW=\" + upe.getKnowledgeLevels()[level_idx].getProgress() ); /// DEBUG\r\n//System.out.println(\"### [CBUM] Concept.addScore \\t domain=\" + this.getDomain().getId() + \" \" + this.getDomain().getTitle()); /// DEBUG\r\n//}\t\t\t\r\n\t\t\r\n\t}","public static int[] mucScore(LeanDocument key, LeanDocument response)\n{\n // System.out.println(\"==========================================================\");\n // System.out.println(\"Key:\\n\"+key.toStringNoSing()+\"\\n*************************\\nResponse:\\n\"+response.toStringNoSing());\n\n Iterator<TreeMap<Integer, Integer>> goldChains = key.chainIterator();\n // double mucRecall = 0.0;\n int mucRecallNom = 0;\n int mucRecallDenom = 0;\n while (goldChains.hasNext()) {\n TreeMap<Integer, Integer> keyChain = goldChains.next();\n if (keyChain.size() > 1) {\n int numInt = numIntersect(key, keyChain, response);\n\n // int numMatched = getNumMatched(key, keyChain);\n // if(numMatched>0){\n // mucRecallNom += numMatched-numInt;\n mucRecallNom += (keyChain.size() - numInt);\n // mucRecallDenom += numMatched-1;\n mucRecallDenom += keyChain.size() - 1;\n\n // System.out.println(keyChain+\"\\n\"+(keyChain.size() - numInt)+\"/\"+(keyChain.size()-1));\n // }\n }\n }\n int[] result = { mucRecallNom, mucRecallDenom };\n\n return result;\n}","public void calcInterest() {\n\t\tbalance = balance + (interestPct*balance);\n\t\t}","private int scoreCalc(HousingLocation h) {\n\t\tint score = 0;\n\t\tscore += managementScore*h.managementScore;\n\t\tscore += amenitiesScore*h.amenitiesScore;\n\t\tscore += locationScore*h.locationScore;\n\t\tscore += communityChillFactorScore*h.communityChillFactorScore;\n\t\t\n\t\treturn score;\n\t\t\n\t}","private void calculateWeight(Iterable<PageRankWritable> messages) {\r\n\t\tlong totalInCount = 0;\r\n\t\tlong totalOutCount = 0;\r\n\r\n\t\t// Because iterator can not go back to the first record,\r\n\t\t// so we need to new another Map to store the in/out edge counts.\r\n\t\tMap<Text, long[]> edgeCountMap = new HashMap<Text, long[]>();\r\n\t\tfor (PageRankWritable msg : messages) {\r\n\t\t\ttotalInCount += msg.getInEdgeCount().get();\r\n\t\t\ttotalOutCount += msg.getOutEdgeCount().get();\r\n\r\n\t\t\t// Store edge counts.\r\n\t\t\tlong[] edgeCounts = new long[2];\r\n\t\t\tedgeCounts[0] = msg.getInEdgeCount().get();\r\n\t\t\tedgeCounts[1] = msg.getOutEdgeCount().get();\r\n\t\t\tedgeCountMap.put(msg.getSenderId(), edgeCounts);\r\n\t\t}\r\n\r\n\t\t// Calculate weight for each destination vertex.\r\n\t\tMapWritable weightMap = new MapWritable();\r\n\t\tfor (Entry<Text, long[]> entry : edgeCountMap.entrySet()) {\r\n\t\t\tText key = entry.getKey();\r\n\t\t\tlong[] value = entry.getValue();\r\n\t\t\tdouble weight = (value[0] / (double) totalInCount)\r\n\t\t\t\t\t* (value[1] / (double) totalOutCount);\r\n\t\t\tweightMap.put(key, new DoubleWritable(weight));\r\n\t\t}\r\n\r\n\t\tgetValue().setWeightMap(weightMap);\r\n\t}","@Override\n\tprotected List<Double> computeRelatedness(Page page1, Page page2) throws WikiApiException {\n List<Double> relatednessValues = new ArrayList<Double>();\n\n Set<Category> categories1 = relatednessUtilities.getCategories(page1);\n Set<Category> categories2 = relatednessUtilities.getCategories(page2);\n\n if (categories1 == null || categories2 == null) {\n return null;\n }\n\n Category root = wiki.getMetaData().getMainCategory();\n // test whether the root category is in this graph\n if (!catGraph.getGraph().containsVertex(root.getPageId())) {\n logger.error(\"The root node is not part of this graph. Cannot compute Lin relatedness.\");\n return null;\n }\n\n for (Category cat1 : categories1) {\n for (Category cat2 : categories2) {\n // get the lowest common subsumer (lcs) of the two categories\n Category lcs = catGraph.getLCS(cat1, cat2);\n\n if (lcs == null) {\n continue;\n }\n\n // lin(c1,c2) = 2 * ic ( lcs(c1,c2) ) / IC(c1) + IC(c2)\n double intrinsicIcLcs = catGraph.getIntrinsicInformationContent(lcs);\n double intrinsicIcCat1 = catGraph.getIntrinsicInformationContent(cat1);\n double intrinsicIcCat2 = catGraph.getIntrinsicInformationContent(cat2);\n\n double relatedness = 0.0;\n if (intrinsicIcCat1 != 0 && intrinsicIcCat2 != 0) {\n relatedness = 2 * intrinsicIcLcs / (intrinsicIcCat1 + intrinsicIcCat2);\n }\n\n relatednessValues.add(relatedness);\n }\n }\n\n logger.debug(relatednessValues);\n return relatednessValues;\n }","@Test(priority = 5)\n\tpublic void testHandScoreLinkEnabled(){\n\t\t\n\t\tdashBoardPage = loginPage.loginSuccess(unitytestdata.getProperty(\"testDomainTeacher\"),\n\t\t\t\tunitytestdata.getProperty(\"genericPassword\"));\n\t\tdashBoardPage.addTiles();\n\t\treportPage = dashBoardPage.goToReports();\n\t\twaitTime();\n\t\treportPage.filterReportByClassRoster(testrosterName);\n\t\twaitTime();\n\t\treportPage.filterReportByContentArea(\"N/A\");\n\t\twaitTime();\n\t\treportPage.openTestEventDetail(testName4);\n\t\tcustomeWaitTime(5);\n\t\tsoftAssert.assertTrue(reportPage.waitForElementVisible(reportPage.HandscoreThisTestButton));\n\n\t\t\n\t}","@Test\n public void testCombineRankHighPageRankWeight() {\n Iterator<Pair<Document, Double>> resultIterator = icsSearchEngine.searchQuery(Arrays.asList(\"anteater\"),\n 10, 1000000000.0);\n ImmutableList<Pair<Document, Double>> resultList = ImmutableList.copyOf(resultIterator);\n Assert.assertEquals(10, resultList.size());\n Assert.assertTrue(resultList.stream().limit(3).map(p -> p.getLeft())\n .anyMatch(doc -> doc.getText().contains(\"wics.ics.uci.edu\")));\n }","public static double calculateAnalogyQuality(DirectedGraphAdapter<Concept> mapping)\n\t{\n\t\tList<Concept> schema = SchemaEngine.createSchema(mapping);\n\t\t//sort schema nodes by type (decreasing)\n\t\tCollections.sort(schema, new ConceptTypeComparator());\n\t\tfor(Concept s : schema)\n\t\t{\n\t\t\ts.score += initialMatchScore;\t//TODO could have different initialMatchScores for different concept types, like Forbus & Gentner\n\t\t\t//TODO don't include roles that aren't part of the schema itself! Actually, the role scores aren't included in the final tally; only nodes in the schema are added into the total score\n\t\t\tfor(Concept role : s.roles)\n\t\t\t{\n\t\t\t\tif(role != null && !(role instanceof AnonymousToken))\n\t\t\t\t{\n\t\t\t\t\trole.score += trickleDownFactor*s.score;\t//why does Forbus & Gentner use max{ W(MH2) + delta*W(MH1); 1.0}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\n\t\t//add up all scores from schema nodes\n\t\tdouble totalScore = 0;\n\t\tfor(Concept s : schema)\n\t\t{\n\t\t\ttotalScore += s.score;\n\t\t}\n\t\treturn totalScore;\n\t}","private double calculatePer5years(double currentRate, Map<String, String> earningsPerShare) {\n double next = parseToDoubleOrZero(earningsPerShare.get(fundamentalData.getNextYear()).replace(\",\", \".\"));\n double current = parseToDoubleOrZero(earningsPerShare.get(fundamentalData.getCurrentYear()).replace(\",\", \".\"));\n // If the data is not up to date at onvista...\n String lastYearEps = earningsPerShare.get(fundamentalData.getLastYear());\n if (lastYearEps == null) {\n lastYearEps = earningsPerShare.get(fundamentalData.getLastYear() + \"e\");\n }\n double last = parseToDoubleOrZero(lastYearEps.replace(\",\", \".\"));\n double twoAgo = parseToDoubleOrZero(earningsPerShare.get(fundamentalData.getTwoYearsAgo()).replace(\",\", \".\"));\n double threeAgo = parseToDoubleOrZero(earningsPerShare.get(fundamentalData.getThreeYearsAgo()).replace(\",\", \".\"));\n\n double fiveYearsEarnings;\n if (next == 0 && current != 0 && last != 0 && twoAgo != 0 && threeAgo != 0) {\n fiveYearsEarnings = (current + last + twoAgo + threeAgo) / 4;\n } else {\n fiveYearsEarnings = (next + current + last + twoAgo + threeAgo) / 5;\n }\n\n return currentRate / fiveYearsEarnings;\n }","public double compareImages(ImageSub img1, ImageSub img2) {\n\t\tdouble[] channels = new double[3];\n\t\tdouble sumOfSquares = 0;\n\t\tfor(int i = 0; i < channels.length; i++) {\n\t\t\tchannels[i] = Imgproc.compareHist(img1.cvChannels.get(i), img2.cvChannels.get(i), Imgproc.CV_COMP_BHATTACHARYYA);\n\t\t\t\n\t\t\t//Uncomment this. Comment the line above\n\t\t\t//channels[i] = SSIM.compareImages(img1.cvChannels.get(i), img2.cvChannels.get(i));\n\t\t\tsumOfSquares += channels[i];\n\t\t}\n\t\tsumOfSquares /= channels.length;\n\t\t//System.out.println(sumOfSquares);\n\t\treturn sumOfSquares;\n\t}","public byte score() {\n\t\tbyte score = 0;\n\t\t\n\t\tfor (byte r = 0; r < b.length; r++) {\n\t\t\tfor (byte c = 0; c < b[r].length; c++) {\n\t\t\t\tif (b[r][c].getSide()) {\n\t\t\t\t\tscore += (b[r][c]).getValue();\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\telse {\n\t\t\t\t\tscore -= (b[r][c]).getValue();\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\n\t\treturn score;\n\t}","HashNode(HashNode next, double score, String key){\n\t\tnumScores++;\n\t\tsumScore = score;\n\t\tthis.next = next;\n\t\tthis.key = key;\n\t\taverage = 0;\n\t}","public void addScore(){\n\n // ong nuoc 1\n if(birdS.getX() == waterPipeS.getX1() +50){\n bl = true;\n }\n if (bl == true && birdS.getX() > waterPipeS.getX1() + 50){\n score++;\n bl = false;\n }\n\n //ong nuoc 2\n if(birdS.getX() == waterPipeS.getX2() +50){\n bl = true;\n }\n if (bl == true && birdS.getX() > waterPipeS.getX2() + 50){\n score++;\n bl = false;\n }\n\n // ong nuoc 3\n if(birdS.getX() == waterPipeS.getX3() +50){\n bl = true;\n }\n if (bl == true && birdS.getX() > waterPipeS.getX3() + 50){\n score++;\n bl = false;\n }\n\n }","int getHighScore() {\n return getStat(highScore);\n }","public int getTotalVisited(){\n return this.getSea().countVisited();\n }","@Override\n\tpublic void displayAvgSalariesCompanies() {\n\n\t}","private void sendInOutEdgeCounts(Iterable<PageRankWritable> messages)\r\n\t\t\tthrows IOException {\r\n\t\t// Receive vertex IDs from all sender.\r\n\t\tList<Text> vertexIdList = new ArrayList<Text>();\r\n\t\tfor (PageRankWritable msg : messages) {\r\n\t\t\tvertexIdList.add(msg.getSenderId());\r\n\t\t}\r\n\r\n\t\t// Send incoming and outgoing edge counts back to senders.\r\n\t\tPageRankWritable msg = new PageRankWritable();\r\n\t\tmsg.setSenderId(getVertexID());\r\n\t\tmsg.setInEdgeCount(vertexIdList.size());\r\n\t\tmsg.setOutEdgeCount(getEdges().size());\r\n\r\n\t\tfor (Text id : vertexIdList) {\r\n\t\t\tsendMessage(id, msg);\r\n\t\t}\r\n\t}","@Override\r\n public double Score(int[] leftDist, int[] rightDist) {\r\n return leftDist[Utils.maxIndex(leftDist)] + rightDist[Utils.maxIndex(rightDist)];\r\n }","private double getNetworkOutStatistics(String args) throws Exception\n {\n //TODO:IMPLEMENT NETWORK OUT STATISTICS GETTE\n String[] lineParts = getNetFile();\n if(args.toLowerCase() == packetArg)\n {\n int newNetPackets = Integer.decode(lineParts[10]);\n int retVal = newNetPackets - previousNetworkOutPackets;\n previousNetworkOutPackets = newNetPackets;\n return(retVal);\n }\n else\n {\n int newNetOut = Integer.decode(lineParts[9]);\n int retVal = newNetOut - previousNetworkout;\n previousNetworkout = newNetOut;\n return(retVal);\n }\n }","@Override\r\n\tpublic int totalScore(GradeBean param) {\n\t\treturn 0;\r\n\t}","public abstract void sendGlobalStats(ResponseBuilder rb, ShardRequest outgoing);","private boolean convergence(List<Page> pages) {\n\t\tdouble aveHubDelta = 100;\n\t\tdouble aveAuthDelta = 100;\n\t\tif (pages == null) {\n\t\t\treturn true;\n\t\t}\n\n\t\t// get current values from pages\n\t\tdouble[] currHubVals = new double[pages.size()];\n\t\tdouble[] currAuthVals = new double[pages.size()];\n\t\tfor (int i = 0; i < pages.size(); i++) {\n\t\t\tPage currPage = pages.get(i);\n\t\t\tcurrHubVals[i] = currPage.hub;\n\t\t\tcurrHubVals[i] = currPage.authority;\n\t\t}\n\t\tif (prevHubVals == null || prevAuthVals == null) {\n\t\t\tprevHubVals = currHubVals;\n\t\t\tprevAuthVals = currAuthVals;\n\t\t\treturn false;\n\t\t}\n\t\t// compare to past values\n\t\taveHubDelta = getAveDelta(currHubVals, prevHubVals);\n\t\taveAuthDelta = getAveDelta(currAuthVals, prevAuthVals);\n\t\tif (aveHubDelta + aveAuthDelta < DELTA_TOLERANCE || (Math.abs(prevAveHubDelta - aveHubDelta) < 0.01\n\t\t\t\t&& Math.abs(prevAveAuthDelta - aveAuthDelta) < 0.01)) {\n\t\t\treturn true;\n\t\t} else {\n\t\t\tprevHubVals = currHubVals;\n\t\t\tprevAuthVals = currAuthVals;\n\t\t\tprevAveHubDelta = aveHubDelta;\n\t\t\tprevAveAuthDelta = aveAuthDelta;\n\t\t\treturn false;\n\t\t}\n\t}","private int calculateHash(int id, String uri) {\n\t\treturn uri.hashCode() * Constants.HASH_PRIMES[0]\n\t\t\t\t+ Integer.toString(id).hashCode() * Constants.HASH_PRIMES[1];\n\t}","private Double calculateMatchScore(String query, ConceptMap matchedMapping) {\n return 10000d;\n }","abstract float linkSize(String link);","private int getSumH(int[][] a, int jh) {\n int sum = 0;\n for (int j = 0; j < a.length; j++) {\n sum += a[jh][j];\n }\n return sum;\n }","private int riseRule(int dataSize) {\n int binNum = currentBinNum;\n\n if (dataSize != 0) {\n binNum = (int) (.5 + 2 * Math.pow((double) dataSize, 1 / 3.0));\n }\n return binNum;\n }","public int getHomeScore() {\n return homeScore;\n }","public ArrayList<Double> computeRanks(ArrayList<String> vertices) {\r\n\t\t// TODO : Add code here\r\n\t\tArrayList<Double> result=new ArrayList<>();\r\n\t\tfor(int i=0;i<vertices.size();i++){\r\n\t\t\tString url=vertices.get(i);\r\n\t\t\tArrayList<String> edges=internet.getEdgesInto(url);\r\n\t\t\tdouble sum= edges.stream().mapToDouble(edge -> internet.getPageRank(edge) / internet.getOutDegree(edge)).sum();\r\n\t\t\tdouble rank=0.5+0.5*sum;\r\n\t\t\tresult.add(i,rank);\r\n\t\t}\r\n\t\treturn result;\r\n\t}","public final void addScore(int iScore) {\n\t\tscore += iScore;\n\t}","void parseline(){\n\t\ttry {\n\t\tString currentLine;\n\t\tBufferedReader freader = new BufferedReader(new FileReader(\"C:\\\\wt2g_inlinks.txt\")); //default to dataset\n\t//\tBufferedReader freader = new BufferedReader(new FileReader(\"C:\\\\inlink.txt\")); // Use this for Graph \n\t\tSet<String> ar ;\n\t\t\twhile((currentLine= freader.readLine()) != null){ \n\t\t\t\tSet<String> in_data = new HashSet<>();\n\t\t\t\tStringTokenizer st = new StringTokenizer(currentLine,\" \");\n\t\t\t\tString node = st.nextToken();\n\t\t\t\tif(!inlinks.containsKey(node)){\n\t\t\t\t\tinlinks.put(node, null); // All the nodes are stored in inlinks Map\n\t\t\t\t}\n\t\t\t\t\twhile(st.hasMoreTokens()){\n\t\t\t\t\t\tString edge = st.nextToken();\n\t\t\t\t\t if(!inlinks.containsKey(edge)){\n\t\t\t\t\t \tinlinks.put(edge, null);\n\t\t\t\t\t } \n\t\t\t\t\t if(inlinks.get(node)!=null){\n\t\t\t\t\t \tSet B = inlinks.get(node);\n\t\t\t\t\t \tB.add(edge);\n\t\t\t\t\t \tinlinks.put(node, B);\n\t\t\t\t\t }\n\t\t\t\t\t else{\n\t\t\t\t\t in_data.add(edge);\n\t\t\t\t\t inlinks.put(node, in_data);\n\t\t\t\t\t }\t\t\t\t\t \n\t\t\t\t\t if(!(outlinks.containsKey(edge))){ //Creating the outlinks Map \n\t\t\t\t\t\t Set<String > nd = new HashSet<>();\n\t\t\t\t\t\t nd.add(node);\n\t\t\t\t\t outlinks.put(edge, nd);\n\t\t\t\t\t }\t\n\t\t\t\t\t else{\n\t\t\t\t\t\t ar = outlinks.get(edge);\n\t\t\t\t\t\t ar.add(node);\n\t\t\t\t\t\t outlinks.put(edge, ar);\n\t\t\t\t\t }\n\t\t\t\t\t}\n \t\t\t\t \n\t\t\t}\n\t\t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t }\n\t\t\n\t\tSystem.out.println(\"Total Nodes : \" +inlinks.size());\n\t\t\n for(String str : inlinks.keySet()){\n \tSet s1 = inlinks.get(str);\n \tif(s1 != null)\n \tinlinks_count.put(str, s1.size());\n \telse\n \t\tsource++;\n }\n System.out.println(\"Total Source \" +source);\n \n for(String str : outlinks.keySet()){\n \tSet s1 = outlinks.get(str);\n \toutlinks_count.put(str, s1.size());\n }\n\t}","public void calculateOutDegree(int outdeg[]) {\n for (int i = 0; i < num_edges; ++i) {\n outdeg[sources[i]]++;\n }\n }","protected abstract double relevantScore(Tweet tweet);","public int getTotalScore(){\r\n return totalScore;\r\n }","private void searchNext(CrawlingSession executor, Link link) {\n HTMLLinkExtractor htmlLinkExtractor = HTMLLinkExtractor.getInstance();\n// htmlLinkExtractor.setWorking(link);\n \n Source source = CrawlingSources.getInstance().getSource(link.getSourceFullName());\n if(source == null) return;\n \n SessionStore store = SessionStores.getStore(source.getCodeName());\n if(store == null) return;\n\n List<Link> collection = htmlLinkExtractor.getLinks(link, /*link.getSource(),*/ pagePaths);\n// List<Link> collection = htmlLinkExtractor.getLinks(srResource);\n List<Link> nextLinks = createNextLink(link, collection);\n if(nextLinks.size() < 1) return;\n if(userPaths == null && contentPaths == null) {\n executor.addElement(nextLinks, link.getSourceFullName());\n return;\n }\n \n \n if(nextLinks.size() < 2) {\n executor.addElement(nextLinks, link.getSourceFullName());\n }\n \n// long start = System.currentTimeMillis();\n \n int [] posts = new int[nextLinks.size()];\n for(int i = 0; i < nextLinks.size(); i++) {\n try {\n posts[i] = PageDownloadedTracker.searchCode(nextLinks.get(i), true);\n } catch (Throwable e) {\n posts[i] = -1;\n LogService.getInstance().setThrowable(link.getSourceFullName(), e);\n// executor.abortSession();\n// return;\n }\n }\n \n int max = 1;\n for(int i = 0; i < posts.length; i++) {\n if(posts[i] > max) max = posts[i];\n }\n \n// System.out.println(\" thay max post la \"+ max);\n \n List<Link> updateLinks = new ArrayList<Link>();\n for(int i = 0; i < posts.length; i++) {\n if(posts[i] >= max) continue;\n updateLinks.add(nextLinks.get(i));\n }\n \n// long end = System.currentTimeMillis();\n// System.out.println(\"step. 4 \"+ link.getUrl()+ \" xu ly cai ni mat \" + (end - start));\n \n executor.addElement(updateLinks, link.getSourceFullName());\n \n /*int minPost = -1;\n Link minLink = null;\n List<Link> updateLinks = new ArrayList<Link>();\n for(int i = 0; i < nextLinks.size(); i++) {\n Link ele = nextLinks.get(i);\n int post = 0;\n try {\n post = PostForumTrackerService2.getInstance().read(ele.getAddressCode());\n } catch (Exception e) {\n LogService.getInstance().setThrowable(link.getSource(), e);\n }\n if(post < 1) {\n updateLinks.add(ele);\n continue;\n } \n\n if(minPost < 0 || post < minPost){\n minLink = ele;\n minPost = post; \n } \n }\n\n if(minLink != null) updateLinks.add(minLink);\n executor.addElement(updateLinks, link.getSource());*/\n }","@Override\n public float customScore(int doc, float subQueryScore, float[] valSrcScores) throws IOException {\n\n Document document =context.reader().document(doc);\n IndexableField availabilityIf= document.getField(FieldConstants.AVAILABILITY);// the field I wanted to extract\n float availabilityScore = availabilityIf.numericValue().floatValue();\n\n IndexableField accuracyIf= document.getField(FieldConstants.AVAILABILITY);// the field I wanted to extract\n float accuracyScore = accuracyIf.numericValue().floatValue();\n\n IndexableField acceptRateIf= document.getField(FieldConstants.AVAILABILITY);// the field I wanted to extract\n float acceptRate = acceptRateIf.numericValue().floatValue();\n\n return (1 + availabilityScore * AVAILABILITY_MULTIPLIER\n + accuracyScore * ACCURACY_MULTIPLIER\n + ACCEPT_RATE_MULTIPLIER * acceptRate)\n * subQueryScore;\n\n }","@Test(priority = 5)\n\tpublic void TC_05_Validate_SchoolComputedValues_Link_Navigation() {\n\t\tString ScreenshotName = new Object(){}.getClass().getEnclosingMethod().getName();\n\n\t\tReporter.log(cm.ReporterText(\"TestCase : \" + ScreenshotName));\n\n\t\tco.click(homePage.schoolComputedValuesLink, \"Clicking on School Computed Value Link in Home Page.\");\n\t\tString actualText=co.getText(homePage.pageTitle,\"Extracting the PageTitle\");\n\t\tcm.captureElementScreenShot(driver, homePage.pageTitle, ScreenshotName, cm.basepath());\n\t\tReporter.log(cm.ReporterLink(ScreenshotName));\n\t\tSystem.out.println(\"Asserting the test case\");\n\n\t\tAssert.assertEquals(actualText, \"Computed Values\", \"The page did not navigate to Computed Values Page.\");\n\t}","private void computeHistogramBins() {\r\n int nBins = (int) Math.ceil(hismax / binWidth);\r\n histoBins = new double[nBins];\r\n for (int i = 0; i < nBins; i++) {\r\n histoBins[i] = binWidth * (double) i + binWidth;\r\n }\r\n }","public double web(double html,double javascript,double mySQL,double php,double webExam)\n {\n double a = ((10%100)*html)/100;\n double b = ((15%100)*javascript)/100;\n double c = ((12.5%100)*mySQL)/100;\n double d = ((12.5%100)*php)/100;\n double e = ((50%100)*webExam)/100;\n double grade = ((a+b+c+d+e)/8);//*100;\n return grade;\n }","public int hashCode()\n\t{\n\t\tint result = 17;\n\n\t\tlong tmp;\n\t\tif (_rsHeader != null && !org.castor.core.util.CycleBreaker.startingToCycle(_rsHeader))\n\t\t{\n\t\t\tresult = 37 * result + _rsHeader.hashCode();\n\t\t\torg.castor.core.util.CycleBreaker.releaseCycleHandle(_rsHeader);\n\t\t}\n\n\t\treturn result;\n\t}"],"string":"[\n \"public double SumInlinkHubScore(Page page) {\\n\\t\\tList<String> inLinks = page.getInlinks();\\n\\t\\tdouble hubScore = 0;\\n\\t\\tfor (String inLink1 : inLinks) {\\n\\t\\t\\tPage inLink = pTable.get(inLink1);\\n\\t\\t\\tif (inLink != null)\\n\\t\\t\\t\\thubScore += inLink.hub;\\n\\t\\t\\t// else: page is linked to by a Page not in our table\\n\\t\\t}\\n\\t\\treturn hubScore;\\n\\t}\",\n \"public void computeHubAuth (int..._iterNum) throws IOException\\n\\t{\\n\\t\\tint iterNum;\\n\\t\\tif(_iterNum.length==0) iterNum=10;\\n\\t\\telse iterNum = _iterNum[0];\\n\\t\\t\\n\\t\\t// variable declaration\\n\\t\\tHashtable<String, Object> hubPrev = new Hashtable<String, Object>();\\n\\t\\tVector<String> oneVector;\\n\\t\\tdouble oneWeight;\\n\\t\\tdouble totalHub;\\n\\t\\tdouble totalAuth;\\n\\t\\tdouble totalHubPrev;\\n\\t\\tdouble totalAuthPrev;\\n\\t\\tFastIterator iter;\\n\\t\\tString keyword = null;\\t\\t\\n\\t\\tHTree hubHash;\\n\\t\\tHTree authHash;\\t\\t\\n\\t\\t\\n\\t\\t// initialize all the weights with 1\\n\\t\\ttotalHub = 0;\\n\\t\\ttotalAuth = 0;\\n\\t\\t//iter = pageID.getHash().keys();\\n\\t\\titer = parentLink.getHash().keys();\\n\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t{\\n\\t\\t\\thubWeight.addEntry(keyword, 1.0);\\n\\t\\t\\tauthWeight.addEntry(keyword, 1.0);\\n\\t\\t\\ttotalHub += 1.0 * 1.0;\\n\\t\\t\\ttotalAuth += 1.0 * 1.0;\\n\\t\\t}\\n\\t\\t//System.out.println(\\\"Intialization\\\");\\n\\t\\t//printHubAuth();\\t\\t\\n\\t\\t\\n \\t\\thubHash = hubWeight.getHash();\\n \\t\\tauthHash = authWeight.getHash();\\n \\t\\t\\n \\t\\t//System.out.println(hubHash.keys()==authHash.keys());\\n \\t\\t\\n \\t\\t// iteratively compute the weights\\n\\t\\tfor(int i = 0; i < iterNum; i++)\\n\\t\\t{\\n\\t\\t\\t// store the previous state of hub and authority\\n\\t\\t\\titer = hubHash.keys();\\n\\t\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t\\t\\thubPrev.put(keyword, hubHash.get(keyword));\\n\\t \\t\\ttotalHubPrev = Math.sqrt(totalHub);\\n\\t \\t\\ttotalAuthPrev = Math.sqrt(totalAuth);\\n\\t\\t\\t\\n\\t\\t\\t// compute hubs from normalized previous authWeight, hubWeight\\n\\t \\t\\ttotalHub = 0;\\n\\t\\t\\titer = hubHash.keys();\\n\\t \\t\\t//iter = pageID.getHash().keys();\\n\\t\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t\\t{\\n\\t\\t\\t\\toneVector = (Vector<String>) childLink.getEntry(keyword);\\n\\t\\t\\t\\toneWeight = 0;\\n\\t\\t\\t\\tfor(String oneId: oneVector) \\n\\t\\t\\t\\t\\toneWeight += (Double)authHash.get(oneId);\\n\\t\\t\\t\\toneWeight /= totalHubPrev;\\n\\t\\t\\t\\ttotalHub += oneWeight * oneWeight;\\n\\t\\t\\t\\thubWeight.addEntry(keyword, oneWeight);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// System.out.println(hubHash==hubWeight.getHash());\\n\\t\\t\\t\\n\\t\\t\\t// compute authorities\\n\\t\\t\\ttotalAuth = 0;\\n\\t\\t\\titer = authHash.keys();\\n\\t\\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t\\t{\\n\\t\\t\\t\\toneVector = (Vector<String>) parentLink.getEntry(keyword);\\n\\t\\t\\t\\toneWeight = 0;\\n\\t\\t\\t\\tfor(String oneId: oneVector)\\n\\t\\t\\t\\t\\toneWeight += (Double)hubPrev.get(oneId);\\n\\t\\t\\t\\toneWeight /= totalAuthPrev;\\n\\t\\t\\t\\ttotalAuth += oneWeight * oneWeight;\\n\\t\\t\\t\\tauthWeight.addEntry(keyword, oneWeight);\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t//System.out.println(\\\"Iteration: \\\"+i);\\n\\t\\t\\t//printHubAuth();\\n\\t\\t}\\n\\t\\t\\n\\t\\t// normalize hub and authority weights\\n\\t\\ttotalHubPrev = Math.sqrt(totalHub);\\n \\t\\ttotalAuthPrev = Math.sqrt(totalAuth);\\n \\t\\titer = parentLink.getHash().keys();\\n \\t\\twhile( (keyword=(String)iter.next()) != null)\\n\\t\\t{\\n\\t\\t\\toneWeight = (Double) hubWeight.getEntry(keyword);\\n\\t\\t\\thubWeight.addEntry(keyword, oneWeight/totalHubPrev);\\n\\t\\t\\toneWeight = (Double) authWeight.getEntry(keyword);\\n\\t\\t\\tauthWeight.addEntry(keyword, oneWeight/totalAuthPrev);\\n\\t\\t}\\n \\t\\tprintHubAuth();\\n\\t}\",\n \"public double computePageRank(URI pageUri) {\\n \\treturn this.pageRanks.containsKey(pageUri) ? this.pageRanks.get(pageUri) : 0.0;\\n }\",\n \"public List<Page> normalize(List<Page> pages) {\\n\\t\\tdouble hubTotal = 0;\\n\\t\\tdouble authTotal = 0;\\n\\t\\tfor (Page p : pages) {\\n\\t\\t\\t// Sum Hub scores over all pages\\n\\t\\t\\thubTotal += Math.pow(p.hub, 2);\\n\\t\\t\\t// Sum Authority scores over all pages\\n\\t\\t\\tauthTotal += Math.pow(p.authority, 2);\\n\\t\\t}\\n\\t\\t// divide all hub and authority scores for all pages\\n\\t\\tfor (Page p : pages) {\\n\\t\\t\\tif (hubTotal > 0) {\\n\\t\\t\\t\\tp.hub /= hubTotal;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tp.hub = 0;\\n\\t\\t\\t}\\n\\t\\t\\tif (authTotal > 0) {\\n\\t\\t\\t\\tp.authority /= authTotal;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tp.authority = 0;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn pages; // with normalised scores now\\n\\t}\",\n \"public List<Page> hits(String query) {\\n\\t\\t// pages <- EXPAND-PAGES(RELEVANT-PAGES(query))\\n\\t\\tList<Page> pages = expandPages(relevantPages(query));\\n\\t\\t// for each p in pages\\n\\t\\tfor (Page p : pages) {\\n\\t\\t\\t// p.AUTHORITY <- 1\\n\\t\\t\\tp.authority = 1;\\n\\t\\t\\t// p.HUB <- 1\\n\\t\\t\\tp.hub = 1;\\n\\t\\t}\\n\\t\\t// repeat until convergence do\\n\\t\\twhile (!convergence(pages)) {\\n\\t\\t\\t// for each p in pages do\\n\\t\\t\\tfor (Page p : pages) {\\n\\t\\t\\t\\t// p.AUTHORITY <- &Sigma<sub>i</sub> INLINK<sub>i</sub>(p).HUB\\n\\t\\t\\t\\tp.authority = SumInlinkHubScore(p);\\n\\t\\t\\t\\t// p.HUB <- Σ<sub>i</sub> OUTLINK<sub>i</sub>(p).AUTHORITY\\n\\t\\t\\t\\tp.hub = SumOutlinkAuthorityScore(p);\\n\\t\\t\\t}\\n\\t\\t\\t// NORMALIZE(pages)\\n\\t\\t\\tnormalize(pages);\\n\\t\\t}\\n\\t\\treturn pages;\\n\\n\\t}\",\n \"private void shareTotalScore(String typeOfShare) {\\n final String fbType = getResources().getString(R.string.action_share_on_facebook);\\n\\n if (typeOfShare.equals(fbType)) {\\n // Share total score on Facebook social network\\n shareOnFacebook();\\n } else {\\n // Share total score on P2A web\\n shareOnP2A();\\n }\\n }\",\n \"public abstract double getLinkProbability(int linkId);\",\n \"void readWriteFile() throws IOException{\\n\\t\\t\\t\\t\\n\\t\\t// Sorting before writing it to the file\\n\\t Map<String, Double> sortedRank = sortByValues(PageRank); \\n\\t\\t\\n // below code is used for finding the inlinks count, Comment the probablity sum in below iterator if uncommenting this line\\n\\t\\t//Map<String, Integer> sortedRank = sortByinlinks(inlinks_count);\\n\\t\\t\\n\\n\\t\\t//Writing it to the file\\n\\t\\tFile file = new File(\\\"C:/output.txt\\\");\\n\\t\\tBufferedWriter output = new BufferedWriter(new FileWriter(file,true));\\n\\t\\tIterator iterator = sortedRank.entrySet().iterator();\\n\\t\\tdouble s = 0.0;\\n\\t\\t\\twhile(iterator.hasNext()){\\n\\t\\t\\t\\tMap.Entry val = (Map.Entry)iterator.next();\\n\\t\\t\\t\\toutput.write(val.getKey() +\\\"\\\\t\\\"+ val.getValue()+ \\\"\\\\n\\\");\\t\\t\\t\\t\\n\\t\\t\\t\\ts= s+ (double)val.getValue(); //Adding the Probablity ; Comment this line if using Inlink calculation\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println(\\\"Probablity Sum : \\\"+s); //After convergence should be 1; ; Comment this line if using Inlink calculation\\n\\t\\t\\toutput.flush();\\n\\t\\t\\toutput.close();\\n\\t}\",\n \"private void htmlGlobalTagStatistics() throws MalformedURLException {\\n\\t\\tfinal List<String> anchorLinks = new ArrayList<>();\\n\\t\\tfinal List<String> imgLinks = new ArrayList<>();\\n\\t\\tfinal List<String> anchorImgLinks = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbImgGif = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbScriptOutside = new ArrayList<>();\\n\\t\\thtmlParsed.traverse(new NodeVisitor(){\\n\\t\\t\\tString attributeValue = \\\"\\\";\\n\\t\\t\\tpublic void head(Node node, int depth){\\n\\t\\t\\t\\tif (node instanceof Element){\\n\\t\\t\\t\\t\\tElement tag = (Element) node;\\n\\t\\t\\t\\t\\tif(tag.tagName().equals(\\\"a\\\")){\\n\\t\\t\\t\\t\\t\\tattributeValue = tag.attr(\\\"href\\\");\\n\\t\\t\\t\\t\\t\\tif(attributeValue.length() > 0) {\\n\\t\\t\\t\\t\\t\\t\\tanchorLinks.add(attributeValue);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"img\\\")){\\n\\t\\t\\t\\t\\t\\tattributeValue = tag.attr(\\\"src\\\");\\n\\t\\t\\t\\t\\t\\tif(attributeValue.length() > 0){\\n\\t\\t\\t\\t\\t\\t\\timgLinks.add(attributeValue);\\n\\t\\t\\t\\t\\t\\t\\tif(attributeValue.endsWith(\\\".gif\\\")){\\n\\t\\t\\t\\t\\t\\t\\t\\tcountNbImgGif.add(1);\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\tif(tag.parent().tagName().equals(\\\"a\\\")) {\\n\\t\\t\\t\\t\\t\\t\\t\\tanchorImgLinks.add(attributeValue);\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"script\\\")){\\n\\t\\t\\t\\t\\t\\tattributeValue = tag.attr(\\\"src\\\");\\n\\t\\t\\t\\t\\t\\tif(attributeValue.length() > 0)\\n\\t\\t\\t\\t\\t\\t\\tcountNbScriptOutside.add(1);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t public void tail(Node node, int depth) {\\n\\t\\t }\\n\\t\\t});\\t\\n\\t\\t\\n\\t\\tint nbYearImgLink = anchorImgLinks.stream()\\n\\t\\t\\t\\t.mapToInt(ClassificationGeneralFunctions::countNbOfYears)\\n\\t\\t\\t\\t.sum();\\n\\t\\t\\t\\t\\n\\t\\tint nbYearAnchorLink = 0;\\n\\t\\tint nbLinkSameDomain = 0;\\n\\t\\tint nbLinkOutside = 0;\\n\\t\\tint nbHrefJavascript = 0;\\n\\t\\tString domain = new URL(url).getHost().toLowerCase();\\n\\t\\tfor(String link: anchorLinks){\\n\\t\\t\\tlink = link.toLowerCase();\\n\\t\\t\\tnbYearAnchorLink += ClassificationGeneralFunctions.countNbOfYears(link);\\n\\t\\t\\tif(link.startsWith(\\\"http\\\")){\\n\\t\\t\\t\\tif(link.contains(domain)) {\\n\\t\\t\\t\\t\\tnbLinkSameDomain += 1;\\n\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\tnbLinkOutside += 1;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\telse{\\n\\t\\t\\t\\tif(link.startsWith(\\\"javascript\\\")){\\n\\t\\t\\t\\t\\tnbHrefJavascript += 1;\\n\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\tnbLinkSameDomain += 1;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\thtmlStatistics.put(\\\"img\\\", (double) imgLinks.size());\\n\\t\\thtmlStatistics.put(\\\"img_gif\\\",(double) countNbImgGif.size());\\n\\t\\thtmlStatistics.put(\\\"script_outside\\\", (double) countNbScriptOutside.size());\\n\\t\\thtmlStatistics.put(\\\"anchor_with_image\\\", (double) anchorImgLinks.size());\\n\\t\\thtmlStatistics.put(\\\"year_link_img\\\", (double) nbYearImgLink);\\n\\t\\thtmlStatistics.put(\\\"year_link_anchor\\\", (double) nbYearAnchorLink);\\n\\t\\thtmlStatistics.put(\\\"links_same_domains\\\", (double) nbLinkSameDomain);\\n\\t\\thtmlStatistics.put(\\\"links_to_outside\\\", (double) nbLinkOutside);\\n\\t\\thtmlStatistics.put(\\\"href_javascript\\\", (double) nbHrefJavascript);\\n\\t}\",\n \"public int getHomeScore();\",\n \"@External\\n public BigInteger sumIH(BigInteger a, BigInteger b) {\\n return null;\\n }\",\n \"private void histogramScore() {\\r\\n View.histogram(score, 0, this.getSize().width + 15, 0);\\r\\n }\",\n \"@Override\\n\\t\\tpublic int hashCode() {\\n\\t\\t\\treturn (int) (this.sum * 100 + this.index);\\n\\t\\t}\",\n \"public Iterator rankOrdering(Iterator pages)\\n\\t{\\n\\t\\t//Iterator allWebNode = ind.retrievePages(keyword);\\n\\t\\tIterator allWebNode = pages;\\n\\t\\tif(allWebNode.hasNext()){\\n\\t\\t\\tWebNode wb = (WebNode) allWebNode.next();\\n\\t\\t\\tint score = wb.getInDegree() * wb.getWordFreq(keyword);\\n\\t\\t\\twb.keywordScore = score;\\n\\t\\t\\taL.add(wb); \\n\\t\\t}\\n\\t\\t\\n\\t\\twhile (allWebNode.hasNext()) {\\n\\t\\t\\tWebNode nwb = (WebNode) allWebNode.next();\\n\\t\\t\\tint nscore = nwb.getInDegree() * nwb.getWordFreq(keyword);\\n\\t\\t\\tnwb.keywordScore = nscore;\\n\\t\\t\\tint i = 0; \\n\\t\\t\\twhile(i<aL.size()){\\n\\t\\t\\t\\tif (nwb.keywordScore < ((WebNode) aL.get(i)).keywordScore)\\n\\t\\t\\t \\ti++;\\n\\t\\t\\t else\\n\\t\\t\\t \\taL.add(i,nwb);\\n\\t\\t\\t} \\n\\t\\t}\\n\\t\\t\\n\\t\\treturn aL.iterator();\\n\\t}\",\n \"public List<Link> generateLinkScore(ArrayList<Link> linkList) {\\n\\n for (Link link : linkList) {\\n long difference = ChronoUnit.SECONDS.between(link.getTimeOfCreation(), LocalDateTime.now());\\n link.setTimeDiffInSeconds(difference);\\n long denominator = (difference + SECONDS_IN_TWO_HOURS);\\n // numerator needs to account for personal vote?\\n //\\n link.setKarma(link.getUpVotes() - link.getDownVotes());\\n //get yadalist size from db call instead of link.getYadaList().size\\n int count = yadas.countByLink(link);\\n link.setLinkScore(((link.getKarma() - count) / (Math.pow(denominator, GRAVITY))));\\n links.save(link);\\n }\\n return linkList;\\n }\",\n \"static void printStatistics(Mesh mesh, Graph graph) {\\n\\t\\t\\n\\t\\t//System.out.println(\\\" Clustering result: vertices=\\\" + mesh.getNumVertices());\\n\\t\\t\\n\\t\\tint sumEdges = 0, sumConnected = 0;\\n\\t\\tint sumHubCsize = 0, sumHub = 0;\\n\\t\\t\\n\\t\\tfor(int i = 0; i < mesh.getNumVertices(); i++) {\\n\\t\\t\\tVertex v1 = mesh.getVertex(i);\\n\\t\\t\\tArrayList<Node> nodes1 = v1.getNodes();\\n\\t\\t\\tfor(int j = (i + 1); j < mesh.getNumVertices(); j++) {\\n\\t\\t\\t\\tVertex v2 = mesh.getVertex(j);\\n\\t\\t\\t\\tArrayList<Node> nodes2 = v2.getNodes();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tint count = 0;\\n\\t\\t\\t\\tfor(int ii = 0; ii < nodes1.size(); ii++) {\\n\\t\\t\\t\\t\\tNode n1 = nodes1.get(ii);\\t\\n\\t\\t\\t\\t\\tfor(int jj = 0; jj < nodes2.size(); jj++) {\\n\\t\\t\\t\\t\\t\\tNode n2 = nodes2.get(jj);\\n\\t\\t\\t\\t\\t\\tif(graph.isTwoNodeConnected(n1, n2) == true)\\n\\t\\t\\t\\t\\t\\t\\tcount++;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tif(count > 0) {\\n\\t\\t\\t\\t\\tsumEdges += count; sumConnected++;\\n\\t\\t\\t\\t\\tint id = count / 1;\\n\\t\\t\\t\\t\\tid = (id > 10) ? 10 : id;\\n\\t\\t\\t\\t\\tnumedgeHisto[id]++;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tfor(int ii = 0; ii < nodes1.size(); ii++) {\\n\\t\\t\\t\\tNode n1 = nodes1.get(ii);\\t\\n\\t\\t\\t\\tint nc = n1.getNumConnectedEdge() + n1.getNumConnectingEdge();\\n\\t\\t\\t\\tif(nc < graph.maxDegree * 0.333333) continue;\\n\\t\\t\\t\\tsumHub++; sumHubCsize += nodes1.size();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tdouble aveHubCsize = (double)sumHubCsize / (double)sumHub;\\n\\t\\t//System.out.println(\\\" ... sumHub=\\\" + sumHub + \\\" aveHubCsize=\\\" + aveHubCsize);\\n\\t\\t\\n\\t\\tdouble aveEdges = (double)sumEdges / (double)sumConnected;\\n\\t\\t//System.out.println(\\\" ... sumEdges=\\\" + sumEdges + \\\" aveEdges=\\\" + aveEdges);\\n\\t\\t\\n\\t\\t/*\\n\\t\\tfor(int i = 0; i <= 10; i++)\\n\\t\\t\\tSystem.out.print(\\\" histo[\\\" + i + \\\"]=\\\" + numedgeHisto[i]);\\n\\t\\tSystem.out.println(\\\"\\\");\\n\\t\\t*/\\n\\t\\n\\t\\t/*\\n\\t\\tint numInEdge = 0;\\n\\t\\tfor(Edge edge : graph.edges) {\\n\\t\\t\\tNode nodes[] = edge.getNode();\\n\\t\\t\\tif(nodes[0].getVertex() == nodes[1].getVertex())\\n\\t\\t\\t\\tnumInEdge++;\\n\\t\\t}\\n\\t\\tSystem.out.println(\\\" numInEdge=\\\" + numInEdge);\\n\\t\\t*/\\n\\t}\",\n \"public float[] updatePageRank(float[] pageRank, int[][] connectionsArray, int n, float[] outdegreeCount) {\\n\\t\\tfloat prconst = (float) ((1d - D));\\n\\t\\tboolean noChange = true;\\n\\t\\tfloat[] pageRankTmp = new float[pageRank.length];\\n\\t\\tdo {\\n\\t\\t\\tnoChange = true;\\n\\t\\t\\t// initiate sum operation of the pagerank\\n\\t\\t\\tfor (int fromPageidIndex = 0; fromPageidIndex < connectionsArray.length; fromPageidIndex++) {\\n\\t\\t\\t\\tif (connectionsArray[fromPageidIndex] != null)\\n\\t\\t\\t\\t\\tfor (int toPageidIndex = 0; toPageidIndex < connectionsArray[fromPageidIndex].length; toPageidIndex++) {\\n\\t\\t\\t\\t\\t\\tpageRankTmp[connectionsArray[fromPageidIndex][toPageidIndex]] = pageRankTmp[connectionsArray[fromPageidIndex][toPageidIndex]]\\n\\t\\t\\t\\t\\t\\t\\t\\t+ (pageRank[fromPageidIndex] / outdegreeCount[fromPageidIndex]);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tfor (int i = 1; i < pageRankTmp.length; i++) {\\n\\t\\t\\t\\tpageRankTmp[i] = prconst + pageRankTmp[i];\\n\\t\\t\\t\\tif (noChange && (pageRank[i] - pageRankTmp[i] > 0.00002f)\\n\\t\\t\\t\\t\\t\\t|| (pageRank[i] - pageRankTmp[i] < -0.00002f)) {\\n\\t\\t\\t\\t\\tnoChange = false;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\t\\t\\tfor (int i = 0; i < pageRank.length; i++) {\\n\\t\\t\\t\\tpageRank[i] = pageRankTmp[i];\\n\\t\\t\\t\\tpageRankTmp[i] = 0f;\\n\\t\\t\\t}\\n\\t\\t} while (!noChange);\\n\\t\\treturn pageRank;\\n\\t}\",\n \"public void hitAlienScore() {\\r\\n //Add 5 to the score\\r\\n score += 5;\\r\\n System.out.println(\\\"Current Score = \\\"+score);\\r\\n }\",\n \"private double computeTotalInterest(Map<Integer, Double> interestMap) {\\n\\t\\tdouble totalInterest = 0.0;\\n\\t\\tif(null != interestMap) {\\n\\t\\tfor (Map.Entry<Integer, Double> entry : interestMap.entrySet())\\n\\t\\t\\ttotalInterest = totalInterest + entry.getValue();\\n\\t\\t}\\n\\t\\tDecimalFormat f = new DecimalFormat(\\\"##.00\\\");\\n\\t\\tString fmtInterest = f.format(totalInterest);\\n\\n\\t\\treturn Double.valueOf(fmtInterest);\\n\\t}\",\n \"public static List<Hit> getHubHits(Block paramBlock)\\r\\n/* 55: */ {\\r\\n/* 56: 83 */ return null;\\r\\n/* 57: */ }\",\n \"Map<String, Integer> sortByinlinks(Map<String, Integer> inlinks_sort){\\n\\tList<Map.Entry<String,Integer>> ranklist = new LinkedList<Map.Entry<String,Integer>>(inlinks_sort.entrySet());\\n\\tCollections.sort(ranklist, new Comparator<Map.Entry<String, Integer>>(){\\n\\t\\tpublic int compare(Map.Entry<String,Integer> o1, Map.Entry<String,Integer> o2){\\n\\t\\t\\treturn o2.getValue().compareTo(o1.getValue() );\\n\\t\\t}\\n\\t});\\n\\t\\n\\tMap<String, Integer> sortedRank = new LinkedHashMap<String,Integer>();\\n\\tfor(Map.Entry<String, Integer> rank : ranklist){\\n\\t\\tsortedRank.put(rank.getKey(), rank.getValue());\\t\\t\\t\\n\\t}\\n\\t\\n\\treturn sortedRank;\\n\\t}\",\n \"public static void sumTotalScore() {\\n totalScore += addRandomScore();;\\n }\",\n \"public Integer getBackLinksCount(String domain) {\\n\\n try {\\n Thread.sleep(10000);\\n } catch (Exception e) {\\n l.debug(e + \\\" \\\" + e.getMessage());\\n e.printStackTrace();\\n }\\n String accessID = \\\"xxxxxxxxxxxxxxxxxxxxxxxxxx\\\";\\n String secretKey = \\\"xxxxxxxxxxxxxxxxxxxxxxxxx\\\";\\n Authenticator authenticator = new Authenticator();\\n authenticator.setAccessID(accessID);\\n authenticator.setSecretKey(secretKey);\\n\\n URLMetricsService urlMetricsService = new URLMetricsService(authenticator, appContext);\\n // URLMetricsService urlMetricsService = new URLMetricsService(authenticator);\\n String response = urlMetricsService.getUrlMetrics(domain);\\n Gson gson = new Gson();\\n UrlResponse res = gson.fromJson(response, UrlResponse.class);\\n String x = res.getUeid();\\n //System.out.println(\\\"domain\\\" + domain + \\\"cOUNT\\\" + res.getUeid());\\n if (x == null || x.equalsIgnoreCase(\\\"\\\") || x.equalsIgnoreCase(\\\"blank\\\") || x.equalsIgnoreCase(\\\"null\\\")) {\\n return 0;\\n } else {\\n return Integer.valueOf(x);\\n }\\n }\",\n \"private void tagInHeadStatistics(){\\n\\t\\tfinal List<Integer> countNbLinkHead = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbCssHead = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbScriptHead = new ArrayList<>();\\n\\t\\tfinal List<Integer> countNbCssLinkHead = new ArrayList<>();\\n\\t\\tElement head = htmlParsed.select(\\\"head\\\").first();\\n\\t\\thead.traverse(new NodeVisitor(){\\n\\t\\t\\tString attributeValue = \\\"\\\"; \\n\\t\\t\\tpublic void head(Node node, int depth){\\n\\t\\t\\t\\tif (node instanceof Element){\\n\\t\\t\\t\\t\\tElement tag = (Element) node;\\n\\t\\t\\t\\t\\tif(tag.tagName().equals(\\\"script\\\"))\\n\\t\\t\\t\\t\\t\\tcountNbScriptHead.add(1);\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"style\\\"))\\n\\t\\t\\t\\t\\t\\tcountNbCssHead.add(1);\\n\\t\\t\\t\\t\\telse if(tag.tagName().equals(\\\"link\\\")){\\n\\t\\t\\t\\t\\t\\tcountNbLinkHead.add(1);\\n\\t\\t\\t\\t\\t\\tattributeValue = tag.attr(\\\"rel\\\");\\n\\t\\t\\t\\t\\t\\tif(attributeValue.equals(\\\"stylesheet\\\"))\\n\\t\\t\\t\\t\\t\\t\\tcountNbCssLinkHead.add(1);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tpublic void tail(Node node, int depth) {\\n\\t\\t }\\n\\t\\t});\\n\\t\\thtmlStatistics.put(\\\"link_head\\\",(double) countNbLinkHead.size());\\n\\t\\thtmlStatistics.put(\\\"css_code_head\\\", (double) countNbCssHead.size());\\n\\t\\thtmlStatistics.put(\\\"script_tag_head\\\", (double) countNbScriptHead.size());\\n\\t\\thtmlStatistics.put(\\\"link_css_head\\\", (double) countNbCssLinkHead.size());\\n\\t}\",\n \"public static SiftKnnContainer voteAggregate( SiftKnnContainer a, SiftKnnContainer b) {\\n Map<Integer, Integer> votes = new HashMap<>();\\n int qpsum = 0;\\n a.sortKnnList();\\n if ( a.getDoScan() ) {\\n // scan k-NN that has distance values ..\\n int[] list = a.getKnnList();\\n for (int i=0; i<list.length; ++i) {\\n if ( votes.containsKey( list[i] ) ) {\\n int val = votes.get(list[i]).intValue();\\n votes.put( list[i], val+1);\\n } else {\\n votes.put( list[i], 1 );\\n }\\n }\\n qpsum += 1;\\n } else {\\n // a is an already a vote-aggregate k-NN so distance part contains aggregated votes\\n knnPair[] listpairs = a.getknnPairArray();\\n // since votes is empty we simply put all the values into the map\\n for (int i=0; i< listpairs.length; ++i ) {\\n votes.put( listpairs[i].pointID, listpairs[i].distance );\\n }\\n qpsum += a.getcID();\\n }\\n\\n if ( b.getDoScan() ) {\\n // by now we have put stuff inn the map\\n int[] list = b.getKnnList();\\n for (int i = 0; i < list.length; ++i) {\\n if (votes.containsKey(list[i])) {\\n // increment if already in the list\\n int val = votes.get(list[i]).intValue();\\n votes.put( list[i], val+1);\\n }else {\\n votes.put(list[i], 1);\\n }\\n }\\n qpsum += 1;\\n } else {\\n // b is a list so the distances are vote-counts\\n knnPair[] listpairs = b.getknnPairArray();\\n for (int i=0; i<listpairs.length; ++i ) {\\n if (!votes.containsKey(listpairs[i].pointID)) {\\n // set the current count as no counts existed before\\n votes.put( listpairs[i].pointID, listpairs[i].distance );\\n } else {\\n // some votes aggregates exist in the map so we sum.\\n int val = votes.get(listpairs[i].pointID).intValue();\\n votes.put( listpairs[i].pointID, listpairs[i].distance + val );\\n }\\n }\\n qpsum += b.getcID();\\n }\\n // get the keys\\n Set<Integer> keys = votes.keySet();\\n\\n //* filter the number of results, throw away 1-votes if too many\\n if ( keys.size() > 3000 ) {\\n Set<Integer> keep = new HashSet<Integer>(0);\\n int maxValue = 1;\\n for (Integer key : keys) {\\n int vc = votes.get(key).intValue();\\n if ( vc > 1 ) {\\n keep.add(key);\\n }\\n }\\n if (keep.size() > 30) {\\n keys = keep;\\n }\\n } // */\\n // make a new container for the results\\n SiftKnnContainer ret = new SiftKnnContainer( keys.size() );\\n ret.haltScan();\\n ret.setcID(qpsum);\\n for( Integer key : keys) {\\n ret.add(key.intValue(), votes.get(key).intValue());\\n }\\n ret.sortKnnList();\\n return ret;\\n }\",\n \"private IDictionary<String, Double> computeIdfScores(ISet<Webpage> pages) {\\n\\t\\tidfScores = new ChainedHashDictionary<String, Double>();\\n\\t\\tIDictionary<String, Double> docCount = new ChainedHashDictionary<String, Double>();\\n\\t\\t\\n\\t\\t// Iterates through every webpage and maps all of the unique word counts for that page\\n\\t\\tfor (Webpage page: pages) {\\n\\t\\t\\tIList<String> words = page.getWords();\\n\\t\\t\\tISet<String> keySet = getKeySet(words);\\n\\t\\t\\tfor (String word: keySet) {\\n\\t\\t\\t\\tif (!docCount.containsKey(word)) {\\n\\t\\t\\t\\t\\tdocCount.put(word, 1.0);\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tdocCount.put(word, docCount.get(word) + 1.0);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\tDouble totalDocuments = (double) pages.size();\\n\\t\\t\\n\\t\\t// Updates IDF scores\\n\\t\\tfor (KVPair<String, Double> pair: docCount) {\\n\\t\\t\\tidfScores.put(pair.getKey(), Math.log(totalDocuments / pair.getValue()));\\n\\t\\t}\\n\\t\\treturn idfScores;\\n }\",\n \"public int getOutLinkBoundary() {\\n return 0;\\n }\",\n \"private static double bucketForScore(double score, double bucketSize) {\\r\\n\\t\\tint bucket = (int) (score / bucketSize);\\r\\n\\t\\tif (bucket == 0) {\\r\\n\\t\\t\\tbucket = 1;\\r\\n\\t\\t} else if (score % bucketSize > 0) {\\r\\n\\t\\t\\tbucket++;\\r\\n\\t\\t}\\r\\n\\t\\treturn bucket;\\r\\n\\t}\",\n \"void hashLexicons(Email email) {\\n for (String s : email.processedMessage.keySet()) {\\n int tempCount = email.processedMessage.get(s);\\n \\n if(email.ec==EmailClass.ham)\\n {\\n totalNumberOfWordsInHamDocuments= totalNumberOfWordsInHamDocuments+tempCount;\\n }\\n else\\n {\\n totalNumberOfWordsInSpamDocuments = totalNumberOfWordsInSpamDocuments +tempCount;\\n }\\n //totalNumberOfWords = totalNumberOfWords + tempCount;\\n if (words.containsKey(s)) {\\n LexiconCount lc = words.get(s);\\n long hc = lc.numberOfOccurencesInHamDocuments;\\n long sc = lc.numberOfOccurencesInSpamDocuments;\\n\\n if (email.ec == EmailClass.ham) {\\n hc = hc + tempCount;\\n } else {\\n sc = sc + tempCount;\\n }\\n words.put(s, new LexiconCount(hc, sc));\\n } else {\\n long hc=0,sc=0;\\n if(email.ec==EmailClass.ham)\\n {\\n hc=tempCount;\\n }\\n else\\n {\\n sc=tempCount;\\n }\\n words.put(s, new LexiconCount(hc,sc));\\n }\\n }\\n }\",\n \"private int calculateTotalHeads() { //kept a separate method with a specific purpose instead of writing code in main\\n\\t\\t//no need to static method, althouth static won't hurt in such a small code\\n\\t\\tint headsCount = 0;\\n\\t\\tfor (int currentCoinNo = 1; currentCoinNo <= noCoins; currentCoinNo++) { \\n\\t\\t\\tif(isHead(currentCoinNo)) {\\n\\t\\t\\t\\theadsCount++;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn headsCount;\\n\\t}\",\n \"public double agile(double scrum,double sub,double essay,double exam)\\n {\\n double a = ((25%100)*scrum)/100;\\n double b = ((5%100)*sub)/100;\\n double c = ((20%100)*essay)/100;\\n double d = ((50%100)*exam)/100;\\n double grade = ((a+b+c+d)/8);//*100;\\n return grade;\\n }\",\n \"private void calculateOutgoingRankings(List<ClientInstructions> instructions) throws ReportingSystemException {\\r\\n\\t\\tallOutgoingRankings = outgoingRankingService.evaluateRanking(instructions, outgoingPredicate);\\r\\n\\t}\",\n \"public List<Link> generateControveryScore(ArrayList<Link> linkList) {\\n\\n for (Link link : linkList) {\\n\\n link.setControversyScore((link.getTotalVotes()) / Math.max((Math.abs(link.getUpVotes() - link.getDownVotes())), 1));\\n links.save(link);\\n\\n }\\n return linkList;\\n }\",\n \"public ScoreReduction (Score score)\\r\\n {\\r\\n this.score = score;\\r\\n\\r\\n for (TreeNode pn : score.getPages()) {\\r\\n Page page = (Page) pn;\\r\\n pages.put(page.getIndex(), page);\\r\\n }\\r\\n }\",\n \"private void calculateIndividual(Instructor instructor)\\n {\\n \\tint score = 0;\\n \\tInstructor courseInstructor;\\n \\tCourse course;\\n \\t\\n \\tint prefNum = 0;\\n \\tint numCourses = 0;\\n \\t\\n \\tint timeNum = 0;\\n \\t\\n \\tList<CoursePreference> coursePrefs = instructor.getAllClassPrefs();\\t\\n \\tArrayList<Day> timePrefs = instructor.getTimePrefs(); \\n \\t\\n \\tfor (Section section : sections) {\\n \\t\\tcourseInstructor = section.getInstructor();\\n \\t\\t\\n \\t\\tif (courseInstructor.equals(instructor)) {\\n \\t\\t numCourses++;\\n \\t\\t course = section.getCourse();\\n \\t\\t \\n \\t\\t for (CoursePreference pref : coursePrefs) {\\n \\t\\t\\t if (pref.course.equals(course)) {\\n \\t\\t\\t\\t prefNum += pref.preference / 5;\\n \\t\\t\\t }\\n \\t\\t }\\n \\t\\t}\\n \\t}\\n \\t\\n \\tif (numCourses > 0) {\\n \\t\\tprefNum /= numCourses;\\n \\t\\ttimeNum /= numCourses;\\n \\t}\\n \\t\\n \\tscore = 100 * (prefNum + timeNum) / 2;\\n \\t\\n this.individualAnalytics.add(new AnalyticsRow(instructor.getName(), score));\\n allScores.add(score);\\n }\",\n \"@Override\\n\\tpublic int studytotalForSubject(String subject) {\\n\\t\\treturn mapper.studytotalForSubject(subject);\\n\\t}\",\n \"abstract public int getIncomeSegment( int hhIncomeInDollars );\",\n \"public static void computeSummary() {\\r\\n\\r\\n String text = \\\"\\\\n\\\";\\r\\n\\r\\n //print the rank matrix\\r\\n\\r\\n text += \\\"\\\\\\\\begin{sidewaystable}[!htp]\\\\n\\\\\\\\centering\\\\\\\\scriptsize\\\\n\\\"\\r\\n + \\\"\\\\\\\\resizebox{\\\\\\\\textwidth}{!}{\\\\\\\\begin{tabular}{\\\\n\\\";\\r\\n text += \\\"|c\\\";\\r\\n for (int i = 0; i < columns; i++) {\\r\\n text += \\\"|r\\\";\\r\\n }\\r\\n text += \\\"|}\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n\\r\\n for (int i = 0; i < columns; i++) {\\r\\n text += \\\"&(\\\" + (i + 1) + \\\") \\\";\\r\\n }\\r\\n text += \\\"\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n for (int i = 0; i < columns; i++) {\\r\\n text += algorithms[i] + \\\" (\\\" + (i + 1) + \\\")\\\";\\r\\n for (int j = 0; j < columns; j++) {\\r\\n if (i != j) {\\r\\n text += \\\"& \\\" + wilcoxonRanks[i][j];\\r\\n } else {\\r\\n text += \\\"& -\\\";\\r\\n }\\r\\n }\\r\\n text += \\\"\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n }\\r\\n\\r\\n text += \\\"\\\\n\\\" + \\\"\\\\\\\\end{tabular}}\\\\n\\\" + \\\"\\\\\\\\caption{Ranks computed by the Wilcoxon test}\\\\n\\\";\\r\\n text += \\\"\\\\n\\\\\\\\end{sidewaystable}\\\\n\\\";\\r\\n text += \\\"\\\\n \\\\\\\\clearpage \\\\n\\\\n\\\";\\r\\n\\r\\n Files.addToFile(outputSummaryFileName, text);\\r\\n\\r\\n //print the p-value matrix\\r\\n\\r\\n text = \\\"\\\\n\\\";\\r\\n\\r\\n text += \\\"\\\\\\\\begin{sidewaystable}[!htp]\\\\n\\\\\\\\centering\\\\\\\\scriptsize\\\\n\\\"\\r\\n + \\\"\\\\\\\\resizebox{\\\\\\\\textwidth}{!}{\\\\\\\\begin{tabular}{\\\\n\\\";\\r\\n text += \\\"|c\\\";\\r\\n for (int i = 0; i < columns; i++) {\\r\\n text += \\\"|c\\\";\\r\\n }\\r\\n text += \\\"|}\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n\\r\\n for (int i = 0; i < columns; i++) {\\r\\n text += \\\"&(\\\" + (i + 1) + \\\") \\\";\\r\\n }\\r\\n text += \\\"\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n\\r\\n if (rows <= 50) {\\r\\n for (int i = 0; i < columns; i++) {\\r\\n text += algorithms[i] + \\\" (\\\" + (i + 1) + \\\")\\\";\\r\\n for (int j = 0; j < columns; j++) {\\r\\n \\r\\n if (i < j) {//0.1\\r\\n text += \\\"& \\\" + getSymbol(i,j,exactPValues[i][j], exactPValues[j][i], 0.1) + \\\" \\\";\\r\\n }\\r\\n if (i == j) {\\r\\n text += \\\"& -\\\";\\r\\n }\\r\\n if (i > j) {//0.05\\r\\n text += \\\"& \\\" + getSymbol(i,j,exactPValues[i][j], exactPValues[j][i], 0.05) + \\\" \\\";\\r\\n }\\r\\n }\\r\\n \\r\\n text += \\\"\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n }\\r\\n } else {\\r\\n for (int i = 0; i < columns; i++) {\\r\\n text += algorithms[i] + \\\" (\\\" + (i + 1) + \\\")\\\";\\r\\n for (int j = 0; j < columns; j++) {\\r\\n if (i < j) {//0.1\\r\\n text += \\\"& \\\" + getSymbol(i,j,asymptoticPValues[i][j], asymptoticPValues[j][i], 0.1) + \\\" \\\";\\r\\n }\\r\\n if (i == j) {\\r\\n text += \\\"& -\\\";\\r\\n }\\r\\n if (i > j) {//0.05\\r\\n text += \\\"& \\\" + getSymbol(i,j,asymptoticPValues[i][j], asymptoticPValues[j][i], 0.05) + \\\" \\\";\\r\\n }\\r\\n }\\r\\n text += \\\"\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n }\\r\\n }\\r\\n\\r\\n text += \\\"\\\\n\\\" + \\\"\\\\\\\\end{tabular}}\\\\n\\\" + \\\"\\\\\\\\caption{Summary of the Wilcoxon test. \\\\\\\\textbullet = \\\"\\r\\n + \\\"the method in the row improves the method of the column. \\\\\\\\textopenbullet = \\\"\\r\\n + \\\"the method in the column improves the method of the row. Upper diagonal of level significance $\\\\\\\\alpha=0.9$,\\\"\\r\\n + \\\"Lower diagonal level of significance $\\\\\\\\alpha=0.95$}\\\\n\\\";\\r\\n text += \\\"\\\\n\\\\\\\\end{sidewaystable}\\\\n\\\";\\r\\n text += \\\"\\\\n \\\\\\\\clearpage \\\\n\\\\n\\\";\\r\\n\\r\\n Files.addToFile(outputSummaryFileName, text);\\r\\n\\r\\n text = \\\"\\\\n\\\";\\r\\n\\r\\n //print the summary table\\r\\n\\r\\n text += \\\"\\\\\\\\begin{table}[!htp]\\\\n\\\\\\\\centering\\\\\\\\scriptsize\\\\n\\\"\\r\\n + \\\"\\\\\\\\begin{tabular}{\\\\n\\\";\\r\\n text += \\\"|c|c|c|c|c|}\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n text += \\\"&\\\\\\\\multicolumn{2}{c|}{$\\\\\\\\alpha=0.9$} & \\\\\\\\multicolumn{2}{c|}{$\\\\\\\\alpha=0.95$}\\\\\\\\\\\\\\\\\\\\\\\\hline\\\\n\\\";\\r\\n text += \\\"Method & + & $\\\\\\\\pm$ & + & $\\\\\\\\pm$ \\\";\\r\\n\\r\\n text += \\\"\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n for (int i = 0; i < columns; i++) {\\r\\n text += algorithms[i]+\\\" & \\\"+wins90[i]+\\\" & \\\"+draw90[i]+\\\" & \\\"+wins95[i]+\\\" & \\\"+draw95[i];\\r\\n text += \\\"\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\n\\\";\\r\\n }\\r\\n\\r\\n text += \\\"\\\\n\\\" + \\\"\\\\\\\\end{tabular}\\\\n\\\" + \\\"\\\\\\\\caption{Wilcoxon test summary results}\\\\n\\\";\\r\\n text += \\\"\\\\n\\\\\\\\end{table}\\\\n\\\";\\r\\n text += \\\"\\\\n \\\\\\\\clearpage \\\\n\\\\n\\\";\\r\\n\\r\\n Files.addToFile(outputSummaryFileName, text);\\r\\n\\r\\n }\",\n \"@Override\\n \\t\\tpublic void match(PactString url, Tuple ranks, PactNull docs, Collector<PactString, Tuple> out) {\\n \\t\\t\\t\\n \\t\\t\\t// emit the key and the rank value\\n \\t\\t\\tout.collect(url, ranks);\\n \\t\\t}\",\n \"@Override\\n \\t\\tpublic void coGroup(PactString url, Iterator<PactNull> visits, Iterator<Tuple> ranks, Collector<PactString, Tuple> out) {\\n \\t\\t\\t// Check if there is a entry in the visits relation\\n \\t\\t\\tif (!visits.hasNext()) {\\n \\t\\t\\t\\twhile (ranks.hasNext()) {\\n \\t\\t\\t\\t\\t// Emit all rank pairs\\n \\t\\t\\t\\t\\tout.collect(url, ranks.next());\\n \\t\\t\\t\\t}\\n \\t\\t\\t}\\n \\t\\t}\",\n \"@Override\\n protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {\\n String test = value.toString();\\n test = test.replaceAll(\\\"\\\\t\\\", \\\" \\\").replaceFirst(\\\" \\\", \\\"\\\\t\\\");\\n\\n double basePageRank = 0;\\n boolean hasPageRank = false;\\n double pageRank = 0;\\n /**\\n * Pattern to distinguish our inserted numbers from numbers in titles\\n * is: _!(numbers.numbers)\\n */\\n Pattern pt = Pattern.compile(\\\"(_!\\\\\\\\d+.\\\\\\\\S+)\\\");\\n Matcher mt = pt.matcher(test);\\n if (mt.find()) {\\n pageRank = Double.parseDouble(mt.group(1).substring(2));\\n hasPageRank = true;\\n }\\n /**\\n * If it's the first iteration, distribute 1/N among outLinks\\n */\\n if (!hasPageRank) {\\n try {\\n pageRank = 1d / (context.getConfiguration().getInt(\\\"N\\\", 0));\\n } catch (ArithmeticException ae) {\\n /**\\n * Catch division by zero (if 'N' was not set)\\n */\\n Logger.getLogger(PageRankMapper.class.getName()).log(Level.SEVERE, ae.getMessage(), ae);\\n }\\n }\\n /**\\n * Split input line into key,value\\n */\\n String[] split = test.split(\\\"\\\\t\\\");\\n /**\\n * Emit this node's (1-d)/N and it's adjacency outGraph if not empty\\n */\\n // d = 0.85\\n basePageRank = (1 - 0.85) / (context.getConfiguration().getInt(\\\"N\\\", 0));\\n String output = \\\"\\\";\\n output += \\\"_!\\\" + basePageRank;\\n if (split.length > 1) {\\n //split[1] => outlinks string \\n String[] outlinks = split[1].split(\\\" \\\");\\n for (int i = hasPageRank ? 1 : 0; i < outlinks.length; i++) {\\n output += \\\" \\\" + outlinks[i];\\n }\\n }\\n context.write(new Text(split[0]), new Text(output.trim()));\\n /**\\n * Emit pageRank/|outLinks| to all outLinks if not empty: Split on \\\\t to\\n * get separate key(index 0) from values(index 1), Split values on space\\n * to separate out links(ignore the first(index 0),the pageRank, unless\\n * hasPageRank=false)\\n */\\n if (split.length > 1) {\\n String[] outlinks = split[1].split(\\\" \\\");\\n /**\\n * Input has no outLinks, only has basePageRank, already taken care\\n * of in previous emit, return\\n */\\n if (hasPageRank && outlinks.length == 1) {\\n return;\\n }\\n /**\\n * d = 0.85\\n */\\n pageRank *= 0.85;\\n /**\\n * Divide pageRank over number of outLinks\\n */\\n pageRank /= hasPageRank ? (outlinks.length - 1) : outlinks.length;\\n for (int i = hasPageRank ? 1 : 0; i < outlinks.length; i++) {\\n context.write(new Text(outlinks[i]), new Text(\\\"_!\\\" + pageRank));\\n }\\n }\\n }\",\n \"private final float rankSum(final THashSet<Vertex> vNeighbours, Vertex v) {\\r\\n\\t\\t\\r\\n\\t\\tweightedOutProcedure.weightSum = 0;\\r\\n\\t\\tweightedOutProcedure.src = v;\\r\\n\\t\\t// Iterate over all incoming edges for v.\\r\\n\\t\\tvNeighbours.forEach(weightedOutProcedure);\\r\\n\\t\\t\\r\\n\\t\\trankSumProcedure.rankSum = 0;\\r\\n\\t\\trankSumProcedure.weightSum = weightedOutProcedure.weightSum;\\r\\n\\t\\trankSumProcedure.src = v;\\r\\n\\t\\t// Iterate over all incoming edges for v.\\r\\n\\t\\tvNeighbours.forEach(rankSumProcedure);\\r\\n\\r\\n\\t\\treturn rankSumProcedure.rankSum;\\r\\n\\t}\",\n \"private int calculateScore(ArrayList<HexCell> stack){\\n int score = 0;\\n for(HexCell current: stack){\\n score += current.score;\\n }\\n return score;\\n }\",\n \"public double getPercentageIdentity(ValueEdge edge) {\\n\\t\\tPair<HitVertex> pair = this.getEndpoints(edge);\\n\\t\\tSubHit subHit[] = edge.getSubHit();\\n\\t\\tint identitiesSum = 0;\\n\\t\\tint lengthSum = 0;\\n\\t\\tfor (int i = 0; i < subHit.length; i++) {\\n\\t\\t\\tidentitiesSum += subHit[i].getNumberOfIdentities();\\n\\t\\t\\tlengthSum += Math.max(\\n\\t\\t\\t\\t\\tsubHit[i].getQuerySequenceEnd()\\n\\t\\t\\t\\t\\t\\t\\t- subHit[i].getQuerySequenceStart(),\\n\\t\\t\\t\\t\\tsubHit[i].getSubjectSequenceEnd()\\n\\t\\t\\t\\t\\t\\t\\t- subHit[i].getSubjectSequenceStart());\\n\\t\\t}\\n\\n\\t\\treturn identitiesSum * 100.0 / lengthSum;\\n\\t}\",\n \"public void computeHistogram() {\\n\\t}\",\n \"public Integer getInlinkCount() {\\r\\n\\t\\treturn inlinks.size();\\r\\n\\t}\",\n \"private void updatePublisherScore (String graph,\\n \\t\\t\\tString metadataGraph,\\n \\t\\t\\tDouble delta,\\n \\t\\t\\tInteger deltaCount) throws TransformerException {\\n \\t\\ttry\\n \\t\\t{\\n \\t\\t\\tfinal String publisher = getGraphPublisher(graph, metadataGraph);\\n \\n \\t\\t\\tif (publisher != null) {\\n \\t\\t\\t\\ttry {\\n \\t\\t\\t\\t\\tfinal String computeSumUpdated = String.format(Locale.ROOT, computeSumUpdatedQueryFormat, publisher);\\n \\t\\t\\t\\t\\tfinal String computeCountUpdated = String.format(Locale.ROOT, computeCountUpdatedQueryFormat, publisher);\\n \\n \\t\\t\\t\\t\\tWrappedResultSet rsSum = getCleanConnection().executeSelect(computeSumUpdated);\\n \\t\\t\\t\\t\\tWrappedResultSet rsCount = getCleanConnection().executeSelect(computeCountUpdated);\\n \\n \\t\\t\\t\\t\\tDouble score;\\n \\n \\t\\t\\t\\t\\tif (rsSum.next() && rsCount.next()) {\\n \\t\\t\\t\\t\\t\\t//Clean DB: the graph is also present in clean DB (only its score may change for the copy in dirty DB) => no division by zero\\n \\t\\t\\t\\t\\t\\t//Dirty DB: deltaCount == 1 => no division by zero\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tif (rsCount.getDouble(1) + deltaCount == 0)\\n \\t\\t\\t\\t\\t\\t{\\n \\t\\t\\t\\t\\t\\t\\t//Very special cases => abort assignment of score for the current publisher\\n \\t\\t\\t\\t\\t\\t\\treturn;\\n \\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tscore = (rsSum.getDouble(1) + delta) / (rsCount.getDouble(1) + deltaCount);\\n \\n \\t\\t\\t\\t\\t\\tLOG.info(\\\"Publisher <\\\" + publisher + \\\"> scored \\\" + score + \\\".\\\");\\n \\t\\t\\t\\t\\t} else {\\n \\t\\t\\t\\t\\t\\tthrow new QualityAssessmentException(\\\"Publisher has no score.\\\");\\n \\t\\t\\t\\t\\t}\\n \\n \\t\\t\\t\\t\\tgetCleanConnection().adjustTransactionLevel(EnumLogLevel.TRANSACTION_LEVEL, false);\\n \\n \\t\\t\\t\\t\\tfinal String dropOutdated = String.format(Locale.ROOT, dropOutdatedQueryFormat, ConfigLoader.getConfig().getQualityAssessmentGroup().getAggregatedPublisherScoreGraphURI(), publisher);\\n \\t\\t\\t\\t\\tgetCleanConnection().execute(dropOutdated);\\n \\n \\t\\t\\t\\t\\tfinal String storeUpdated = String.format(Locale.ROOT, storeUpdatedQueryFormat, ConfigLoader.getConfig().getQualityAssessmentGroup().getAggregatedPublisherScoreGraphURI(), publisher, score);\\n \\t\\t\\t\\t\\tgetCleanConnection().execute(storeUpdated);\\n \\n \\t\\t\\t\\t\\tgetCleanConnection().commit();\\n \\t\\t\\t\\t} catch (DatabaseException e) {\\n \\t\\t\\t\\t\\tthrow new TransformerException(e);\\n \\t\\t\\t\\t} catch (SQLException e) {\\n \\t\\t\\t\\t\\tthrow new TransformerException(e);\\n \\t\\t\\t\\t}\\n \\t\\t\\t}\\n \\t\\t} catch (QualityAssessmentException e) {\\n \\t\\t\\tthrow new TransformerException(e);\\n \\t\\t}\\n \\t}\",\n \"public Double calculateTotalMarks(Test onlineTest) throws UserException {\\n\\t\\tDouble score = new Double(0.0);\\n\\t\\tfor (Questions question : onlineTest.getTestQuestions()) {\\n\\t\\t\\tscore = score + question.getMarksScored();\\n\\t\\t}\\n\\t\\tonlineTest.setTestMarksScored(score);\\n\\ttDao.updateTest(onlineTest);\\n\\t\\treturn score;\\n\\t}\",\n \"@Override\\n\\tprotected double evaluate(final IChromosome a_subject) {\\n\\n\\t\\tdouble s = 0;\\n\\n\\t\\t// Get the genes represented by the chromosome\\n\\t\\tGene[] genes = a_subject.getGenes();\\n\\n\\t\\t// Iterate through each of those genes\\n\\t\\tfor (int i = 0; i < genes.length - 1; i++) {\\n\\n\\t\\t\\t// Add all of the edge distances in the chromosome\\n\\t\\t\\ts += m_salesman.distance(genes[i], genes[i + 1]);\\n\\t\\t}\\n\\n\\t\\t// add cost of coming back:\\n\\t\\ts += m_salesman.distance(genes[genes.length - 1], genes[0]);\\n\\t\\treturn s;\\n\\t}\",\n \"public synchronized void addHist(ArrayList<int[]> subHistogram){\\n int j;\\n int[] colorHistogram; int[] subColorHistogram;\\n for(int i=0;i<3;i++){\\n colorHistogram = histogram.get(i);\\n subColorHistogram = subHistogram.get(i);\\n for(j=0;j<256;j++){\\n colorHistogram[j] += subColorHistogram[j];\\n }\\n histogram.set(i,colorHistogram);\\n }\\n }\",\n \"private float calculateSimilarityScore(int numOfSuspiciousNodesInA, int numOfSuspiciousNodesInB) {\\n\\t\\t// calculate the similarity score\\n\\t\\treturn (float) (numOfSuspiciousNodesInA + numOfSuspiciousNodesInB) \\n\\t\\t\\t\\t/ (programANodeList.size() + programBNodeList.size()) * 100;\\n\\t}\",\n \"public int calculateSumOfHouse() {\\n int sum = 0;\\n for (int i = 0; i < pointsHistory.size(); i++) {\\n sum += pointsHistory.get(i);\\n }\\n return sum;\\n }\",\n \"@Override\\r\\n public void visit(Page page) {\\r\\n String url = page.getWebURL().getURL();\\r\\n System.out.println(\\\"URL: \\\" + url);\\r\\n\\r\\n if (page.getParseData() instanceof HtmlParseData) {\\r\\n HtmlParseData htmlParseData = (HtmlParseData) page.getParseData();\\r\\n String text = htmlParseData.getText();\\r\\n String html = htmlParseData.getHtml();\\r\\n List<WebURL> links = htmlParseData.getOutgoingUrls();\\r\\n\\r\\n System.out.println(\\\"Text length: \\\" + text.length());\\r\\n System.out.println(\\\"Html length: \\\" + html.length());\\r\\n System.out.println(\\\"Number of outgoing links: \\\" + links.size());\\r\\n\\r\\n try {\\r\\n Configuration config = new Configuration();\\r\\n System.setProperty(\\\"HADOOP_USER_NAME\\\", \\\"admin\\\");\\r\\n FileSystem fileSystem = FileSystem.get(new URI(\\\"hdfs://192.168.51.116:8022/\\\"), config);\\r\\n FSDataOutputStream outStream = fileSystem.append(new Path(\\\"/user/admin/crawler-results.txt\\\"));\\r\\n\\r\\n IOUtils.write(text.replace('\\\\n', ' '), outStream);\\r\\n outStream.flush();\\r\\n IOUtils.closeQuietly(outStream);\\r\\n } catch (Exception ex) {\\r\\n ex.printStackTrace();\\r\\n throw new RuntimeException(ex);\\r\\n }\\r\\n }\\r\\n }\",\n \"double calcScoreFromObjCount(double[] c_in, double[] c_out) {\\r\\n\\t\\t// / multi-class\\r\\n\\t\\tdouble diff, sum = 0, max_val = Double.NEGATIVE_INFINITY, min_val = Double.POSITIVE_INFINITY;\\r\\n\\t\\tfor (int i = 0; i < num_class; i++) {\\r\\n\\t\\t\\tdiff = (c_in[i] - c_out[i]);\\r\\n\\t\\t\\tif (diff > max_val) {\\r\\n\\t\\t\\t\\tmax_val = diff;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tif (diff < min_val) {\\r\\n\\t\\t\\t\\tmin_val = diff;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tsum += Math.abs(diff);\\r\\n\\t\\t}\\r\\n\\t\\treturn (sum - Math.abs(max_val) - Math.abs(min_val)) + Math.abs(max_val - min_val);\\r\\n\\t}\",\n \"public double getTrafficOverLinkBetween(int otherASN) {\\n return this.trafficOverNeighbors.get(otherASN);\\n }\",\n \"protected abstract void calcScores();\",\n \"private void calculateOverall()\\n {\\n ArrayList<Integer> average = new ArrayList<Integer>(1);\\n ArrayList<Integer> median = new ArrayList<Integer>(1);\\n ArrayList<Integer> mode = new ArrayList<Integer>();\\n ArrayList<Integer> stdDev = new ArrayList<Integer>(1);\\n \\n int avg = 0;\\n int med = 90;\\n int mod = 90;\\n int dev = 0;\\n \\n int[] modeArray = new int[100];\\n \\n for (int i = 0; i < 100; i++) {\\n \\tmodeArray[i] = 0;\\n }\\n \\n for (Integer score : allScores) {\\n \\tavg += score;\\n \\tmodeArray[score]++;\\n }\\n \\n for (int i = 0; i < 100; i++) {\\n \\tif (modeArray[i] > mod) {\\n \\t\\tmod = modeArray[i];\\n \\t}\\n }\\n \\n avg = avg / allScores.size();\\n \\n Collections.sort(allScores);\\n med = allScores.get(allScores.size() / 2);\\n \\n for (Integer score : allScores) {\\n \\tdev += Math.pow(score - avg, 2);\\n }\\n dev = (int)Math.floor(Math.sqrt(dev / allScores.size()));\\n\\n // TODO: Perform the actual calculations here\\n average.add(avg);\\n median.add(med);\\n mode.add(mod);\\n stdDev.add(dev);\\n\\n this.overallAnalytics.put(\\\"Average\\\", average);\\n this.overallAnalytics.put(\\\"Median\\\", median);\\n this.overallAnalytics.put(\\\"Mode\\\", mode);\\n this.overallAnalytics.put(\\\"Standard Deviation\\\", stdDev);\\n }\",\n \"protected void addSummaryDetailLinks(Content subDiv) {\\n try {\\n Content div = HtmlTree.DIV(getNavSummaryLinks());\\n div.addContent(getNavDetailLinks());\\n subDiv.addContent(div);\\n } catch (Exception e) {\\n e.printStackTrace();\\n throw new DocletAbortException(e);\\n }\\n }\",\n \"public void reduce ()\\r\\n {\\r\\n if (score.getPages().isEmpty()) {\\r\\n return;\\r\\n }\\r\\n\\r\\n /* Connect parts across the pages */\\r\\n connection = PartConnection.connectScorePages(pages);\\r\\n\\r\\n // Force the ids of all ScorePart's\\r\\n numberResults();\\r\\n\\r\\n // Create score part-list and connect to pages and systems parts\\r\\n addPartList();\\r\\n\\r\\n // Debug: List all candidates per result\\r\\n if (logger.isDebugEnabled()) {\\r\\n dumpResultMapping();\\r\\n }\\r\\n }\",\n \"public void addScore(double _score, User _user, int _app, double _weight, String date_n_time)\\r\\n\\t{\\r\\n\\t\\tUserProgressEstimator upe = user_knowledge_levels.findById(\\r\\n\\t\\t\\t_user.getId() );\\r\\n\\t\\tif(upe==null) // add new UserProgressEstimator\\r\\n\\t\\t{\\r\\n\\t\\t\\tint estimator_type = 0;\\r\\n\\t\\t\\tswitch (domain.getId())\\r\\n\\t\\t\\t{\\r\\n\\t\\t\\t\\t// concepts\\r\\n\\t\\t\\t\\tcase 1:\\r\\n\\t\\t\\t\\tcase 8:\\r\\n\\t\\t\\t\\tcase 9:\\r\\n\\t\\t\\t\\tcase 11:\\r\\n\\t\\t\\t\\tcase 12:\\r\\n\\t\\t\\t\\tcase 15:\\r\\n\\t\\t\\t\\tcase 16:\\r\\n\\t\\t\\t\\t\\testimator_type = iProgressEstimator.ESTIMATOR_ASSYMPTOTIC;\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\tcase 0:\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\t// topics\\r\\n\\t\\t\\t\\tcase 2: \\r\\n\\t\\t\\t\\tcase 6: \\r\\n\\t\\t\\t\\tcase 7: \\r\\n\\t\\t\\t\\tcase 10: \\r\\n\\t\\t\\t\\t\\testimator_type = iProgressEstimator.ESTIMATOR_MEAN;\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t//t \\r\\n\\t\\t\\t//c \\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tupe = new UserProgressEstimator(_user.getId(),\\r\\n\\t\\t\\t\\t_user.getTitle(), _user, 0, estimator_type);\\r\\n\\t\\t\\tuser_knowledge_levels.add(upe);\\r\\n\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\tint level_idx = ResourceMap.mapToBloomLevelIndex(_app, _score);\\r\\n//\\t\\tif((level_idx==0) && _score<0)\\r\\n//\\t\\t\\t_score = Math.abs(_score);\\r\\n//if(this.getId()==14)\\t\\t\\t\\r\\n//{\\r\\n//System.out.println(\\\"### [CBUM] Concept.addScore C.Id=\\\" + this.getId() +\\\" _score=\\\" + _score + \\\" _weight= \\\" + _weight + \\\" outcome_w_sum=\\\" + outcome_w_sum); /// DEBUG\\r\\n//}\\r\\n\\r\\n//if(this.getId()==190)\\r\\n//{\\r\\n//System.out.println(\\\"### [CBUM] Concept.addScore User=\\\"+_user.getTitle()+\\\" score=\\\"+_score + \\\" weight=\\\" + _weight); /// DEBUG\\r\\n//System.out.println(\\\"### [CBUM] Concept.addScore \\\\tcog_level_name=\\\" + iProgressEstimator.BLOOM_NAMES[level_idx] ); /// DEBUG\\r\\n//System.out.println(\\\"### [CBUM] Concept.addScore \\\\tcog_level_OLD=\\\" + upe.getKnowledgeLevels()[level_idx].getProgress() ); /// DEBUG\\r\\n//}\\r\\n//System.out.println(this.getTitle() + \\\" _app = \\\" + _app + \\\" level_idx = \\\" + level_idx);\\r\\n\\t\\tif(level_idx != -1)\\r\\n\\t\\t\\tupe.getKnowledgeLevels()[level_idx].addProgress(_score, _weight,\\r\\n\\t\\t\\t\\toutcome_w_sum, date_n_time);\\r\\n//if(this.getId()==190)\\r\\n//{\\r\\n//System.out.println(\\\"### [CBUM] Concept.addScore \\\\tcog_level_NEW=\\\" + upe.getKnowledgeLevels()[level_idx].getProgress() ); /// DEBUG\\r\\n//System.out.println(\\\"### [CBUM] Concept.addScore \\\\t domain=\\\" + this.getDomain().getId() + \\\" \\\" + this.getDomain().getTitle()); /// DEBUG\\r\\n//}\\t\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"public static int[] mucScore(LeanDocument key, LeanDocument response)\\n{\\n // System.out.println(\\\"==========================================================\\\");\\n // System.out.println(\\\"Key:\\\\n\\\"+key.toStringNoSing()+\\\"\\\\n*************************\\\\nResponse:\\\\n\\\"+response.toStringNoSing());\\n\\n Iterator<TreeMap<Integer, Integer>> goldChains = key.chainIterator();\\n // double mucRecall = 0.0;\\n int mucRecallNom = 0;\\n int mucRecallDenom = 0;\\n while (goldChains.hasNext()) {\\n TreeMap<Integer, Integer> keyChain = goldChains.next();\\n if (keyChain.size() > 1) {\\n int numInt = numIntersect(key, keyChain, response);\\n\\n // int numMatched = getNumMatched(key, keyChain);\\n // if(numMatched>0){\\n // mucRecallNom += numMatched-numInt;\\n mucRecallNom += (keyChain.size() - numInt);\\n // mucRecallDenom += numMatched-1;\\n mucRecallDenom += keyChain.size() - 1;\\n\\n // System.out.println(keyChain+\\\"\\\\n\\\"+(keyChain.size() - numInt)+\\\"/\\\"+(keyChain.size()-1));\\n // }\\n }\\n }\\n int[] result = { mucRecallNom, mucRecallDenom };\\n\\n return result;\\n}\",\n \"public void calcInterest() {\\n\\t\\tbalance = balance + (interestPct*balance);\\n\\t\\t}\",\n \"private int scoreCalc(HousingLocation h) {\\n\\t\\tint score = 0;\\n\\t\\tscore += managementScore*h.managementScore;\\n\\t\\tscore += amenitiesScore*h.amenitiesScore;\\n\\t\\tscore += locationScore*h.locationScore;\\n\\t\\tscore += communityChillFactorScore*h.communityChillFactorScore;\\n\\t\\t\\n\\t\\treturn score;\\n\\t\\t\\n\\t}\",\n \"private void calculateWeight(Iterable<PageRankWritable> messages) {\\r\\n\\t\\tlong totalInCount = 0;\\r\\n\\t\\tlong totalOutCount = 0;\\r\\n\\r\\n\\t\\t// Because iterator can not go back to the first record,\\r\\n\\t\\t// so we need to new another Map to store the in/out edge counts.\\r\\n\\t\\tMap<Text, long[]> edgeCountMap = new HashMap<Text, long[]>();\\r\\n\\t\\tfor (PageRankWritable msg : messages) {\\r\\n\\t\\t\\ttotalInCount += msg.getInEdgeCount().get();\\r\\n\\t\\t\\ttotalOutCount += msg.getOutEdgeCount().get();\\r\\n\\r\\n\\t\\t\\t// Store edge counts.\\r\\n\\t\\t\\tlong[] edgeCounts = new long[2];\\r\\n\\t\\t\\tedgeCounts[0] = msg.getInEdgeCount().get();\\r\\n\\t\\t\\tedgeCounts[1] = msg.getOutEdgeCount().get();\\r\\n\\t\\t\\tedgeCountMap.put(msg.getSenderId(), edgeCounts);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// Calculate weight for each destination vertex.\\r\\n\\t\\tMapWritable weightMap = new MapWritable();\\r\\n\\t\\tfor (Entry<Text, long[]> entry : edgeCountMap.entrySet()) {\\r\\n\\t\\t\\tText key = entry.getKey();\\r\\n\\t\\t\\tlong[] value = entry.getValue();\\r\\n\\t\\t\\tdouble weight = (value[0] / (double) totalInCount)\\r\\n\\t\\t\\t\\t\\t* (value[1] / (double) totalOutCount);\\r\\n\\t\\t\\tweightMap.put(key, new DoubleWritable(weight));\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tgetValue().setWeightMap(weightMap);\\r\\n\\t}\",\n \"@Override\\n\\tprotected List<Double> computeRelatedness(Page page1, Page page2) throws WikiApiException {\\n List<Double> relatednessValues = new ArrayList<Double>();\\n\\n Set<Category> categories1 = relatednessUtilities.getCategories(page1);\\n Set<Category> categories2 = relatednessUtilities.getCategories(page2);\\n\\n if (categories1 == null || categories2 == null) {\\n return null;\\n }\\n\\n Category root = wiki.getMetaData().getMainCategory();\\n // test whether the root category is in this graph\\n if (!catGraph.getGraph().containsVertex(root.getPageId())) {\\n logger.error(\\\"The root node is not part of this graph. Cannot compute Lin relatedness.\\\");\\n return null;\\n }\\n\\n for (Category cat1 : categories1) {\\n for (Category cat2 : categories2) {\\n // get the lowest common subsumer (lcs) of the two categories\\n Category lcs = catGraph.getLCS(cat1, cat2);\\n\\n if (lcs == null) {\\n continue;\\n }\\n\\n // lin(c1,c2) = 2 * ic ( lcs(c1,c2) ) / IC(c1) + IC(c2)\\n double intrinsicIcLcs = catGraph.getIntrinsicInformationContent(lcs);\\n double intrinsicIcCat1 = catGraph.getIntrinsicInformationContent(cat1);\\n double intrinsicIcCat2 = catGraph.getIntrinsicInformationContent(cat2);\\n\\n double relatedness = 0.0;\\n if (intrinsicIcCat1 != 0 && intrinsicIcCat2 != 0) {\\n relatedness = 2 * intrinsicIcLcs / (intrinsicIcCat1 + intrinsicIcCat2);\\n }\\n\\n relatednessValues.add(relatedness);\\n }\\n }\\n\\n logger.debug(relatednessValues);\\n return relatednessValues;\\n }\",\n \"@Test(priority = 5)\\n\\tpublic void testHandScoreLinkEnabled(){\\n\\t\\t\\n\\t\\tdashBoardPage = loginPage.loginSuccess(unitytestdata.getProperty(\\\"testDomainTeacher\\\"),\\n\\t\\t\\t\\tunitytestdata.getProperty(\\\"genericPassword\\\"));\\n\\t\\tdashBoardPage.addTiles();\\n\\t\\treportPage = dashBoardPage.goToReports();\\n\\t\\twaitTime();\\n\\t\\treportPage.filterReportByClassRoster(testrosterName);\\n\\t\\twaitTime();\\n\\t\\treportPage.filterReportByContentArea(\\\"N/A\\\");\\n\\t\\twaitTime();\\n\\t\\treportPage.openTestEventDetail(testName4);\\n\\t\\tcustomeWaitTime(5);\\n\\t\\tsoftAssert.assertTrue(reportPage.waitForElementVisible(reportPage.HandscoreThisTestButton));\\n\\n\\t\\t\\n\\t}\",\n \"@Test\\n public void testCombineRankHighPageRankWeight() {\\n Iterator<Pair<Document, Double>> resultIterator = icsSearchEngine.searchQuery(Arrays.asList(\\\"anteater\\\"),\\n 10, 1000000000.0);\\n ImmutableList<Pair<Document, Double>> resultList = ImmutableList.copyOf(resultIterator);\\n Assert.assertEquals(10, resultList.size());\\n Assert.assertTrue(resultList.stream().limit(3).map(p -> p.getLeft())\\n .anyMatch(doc -> doc.getText().contains(\\\"wics.ics.uci.edu\\\")));\\n }\",\n \"public static double calculateAnalogyQuality(DirectedGraphAdapter<Concept> mapping)\\n\\t{\\n\\t\\tList<Concept> schema = SchemaEngine.createSchema(mapping);\\n\\t\\t//sort schema nodes by type (decreasing)\\n\\t\\tCollections.sort(schema, new ConceptTypeComparator());\\n\\t\\tfor(Concept s : schema)\\n\\t\\t{\\n\\t\\t\\ts.score += initialMatchScore;\\t//TODO could have different initialMatchScores for different concept types, like Forbus & Gentner\\n\\t\\t\\t//TODO don't include roles that aren't part of the schema itself! Actually, the role scores aren't included in the final tally; only nodes in the schema are added into the total score\\n\\t\\t\\tfor(Concept role : s.roles)\\n\\t\\t\\t{\\n\\t\\t\\t\\tif(role != null && !(role instanceof AnonymousToken))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\trole.score += trickleDownFactor*s.score;\\t//why does Forbus & Gentner use max{ W(MH2) + delta*W(MH1); 1.0}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t//add up all scores from schema nodes\\n\\t\\tdouble totalScore = 0;\\n\\t\\tfor(Concept s : schema)\\n\\t\\t{\\n\\t\\t\\ttotalScore += s.score;\\n\\t\\t}\\n\\t\\treturn totalScore;\\n\\t}\",\n \"private double calculatePer5years(double currentRate, Map<String, String> earningsPerShare) {\\n double next = parseToDoubleOrZero(earningsPerShare.get(fundamentalData.getNextYear()).replace(\\\",\\\", \\\".\\\"));\\n double current = parseToDoubleOrZero(earningsPerShare.get(fundamentalData.getCurrentYear()).replace(\\\",\\\", \\\".\\\"));\\n // If the data is not up to date at onvista...\\n String lastYearEps = earningsPerShare.get(fundamentalData.getLastYear());\\n if (lastYearEps == null) {\\n lastYearEps = earningsPerShare.get(fundamentalData.getLastYear() + \\\"e\\\");\\n }\\n double last = parseToDoubleOrZero(lastYearEps.replace(\\\",\\\", \\\".\\\"));\\n double twoAgo = parseToDoubleOrZero(earningsPerShare.get(fundamentalData.getTwoYearsAgo()).replace(\\\",\\\", \\\".\\\"));\\n double threeAgo = parseToDoubleOrZero(earningsPerShare.get(fundamentalData.getThreeYearsAgo()).replace(\\\",\\\", \\\".\\\"));\\n\\n double fiveYearsEarnings;\\n if (next == 0 && current != 0 && last != 0 && twoAgo != 0 && threeAgo != 0) {\\n fiveYearsEarnings = (current + last + twoAgo + threeAgo) / 4;\\n } else {\\n fiveYearsEarnings = (next + current + last + twoAgo + threeAgo) / 5;\\n }\\n\\n return currentRate / fiveYearsEarnings;\\n }\",\n \"public double compareImages(ImageSub img1, ImageSub img2) {\\n\\t\\tdouble[] channels = new double[3];\\n\\t\\tdouble sumOfSquares = 0;\\n\\t\\tfor(int i = 0; i < channels.length; i++) {\\n\\t\\t\\tchannels[i] = Imgproc.compareHist(img1.cvChannels.get(i), img2.cvChannels.get(i), Imgproc.CV_COMP_BHATTACHARYYA);\\n\\t\\t\\t\\n\\t\\t\\t//Uncomment this. Comment the line above\\n\\t\\t\\t//channels[i] = SSIM.compareImages(img1.cvChannels.get(i), img2.cvChannels.get(i));\\n\\t\\t\\tsumOfSquares += channels[i];\\n\\t\\t}\\n\\t\\tsumOfSquares /= channels.length;\\n\\t\\t//System.out.println(sumOfSquares);\\n\\t\\treturn sumOfSquares;\\n\\t}\",\n \"public byte score() {\\n\\t\\tbyte score = 0;\\n\\t\\t\\n\\t\\tfor (byte r = 0; r < b.length; r++) {\\n\\t\\t\\tfor (byte c = 0; c < b[r].length; c++) {\\n\\t\\t\\t\\tif (b[r][c].getSide()) {\\n\\t\\t\\t\\t\\tscore += (b[r][c]).getValue();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t\\telse {\\n\\t\\t\\t\\t\\tscore -= (b[r][c]).getValue();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn score;\\n\\t}\",\n \"HashNode(HashNode next, double score, String key){\\n\\t\\tnumScores++;\\n\\t\\tsumScore = score;\\n\\t\\tthis.next = next;\\n\\t\\tthis.key = key;\\n\\t\\taverage = 0;\\n\\t}\",\n \"public void addScore(){\\n\\n // ong nuoc 1\\n if(birdS.getX() == waterPipeS.getX1() +50){\\n bl = true;\\n }\\n if (bl == true && birdS.getX() > waterPipeS.getX1() + 50){\\n score++;\\n bl = false;\\n }\\n\\n //ong nuoc 2\\n if(birdS.getX() == waterPipeS.getX2() +50){\\n bl = true;\\n }\\n if (bl == true && birdS.getX() > waterPipeS.getX2() + 50){\\n score++;\\n bl = false;\\n }\\n\\n // ong nuoc 3\\n if(birdS.getX() == waterPipeS.getX3() +50){\\n bl = true;\\n }\\n if (bl == true && birdS.getX() > waterPipeS.getX3() + 50){\\n score++;\\n bl = false;\\n }\\n\\n }\",\n \"int getHighScore() {\\n return getStat(highScore);\\n }\",\n \"public int getTotalVisited(){\\n return this.getSea().countVisited();\\n }\",\n \"@Override\\n\\tpublic void displayAvgSalariesCompanies() {\\n\\n\\t}\",\n \"private void sendInOutEdgeCounts(Iterable<PageRankWritable> messages)\\r\\n\\t\\t\\tthrows IOException {\\r\\n\\t\\t// Receive vertex IDs from all sender.\\r\\n\\t\\tList<Text> vertexIdList = new ArrayList<Text>();\\r\\n\\t\\tfor (PageRankWritable msg : messages) {\\r\\n\\t\\t\\tvertexIdList.add(msg.getSenderId());\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t// Send incoming and outgoing edge counts back to senders.\\r\\n\\t\\tPageRankWritable msg = new PageRankWritable();\\r\\n\\t\\tmsg.setSenderId(getVertexID());\\r\\n\\t\\tmsg.setInEdgeCount(vertexIdList.size());\\r\\n\\t\\tmsg.setOutEdgeCount(getEdges().size());\\r\\n\\r\\n\\t\\tfor (Text id : vertexIdList) {\\r\\n\\t\\t\\tsendMessage(id, msg);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"@Override\\r\\n public double Score(int[] leftDist, int[] rightDist) {\\r\\n return leftDist[Utils.maxIndex(leftDist)] + rightDist[Utils.maxIndex(rightDist)];\\r\\n }\",\n \"private double getNetworkOutStatistics(String args) throws Exception\\n {\\n //TODO:IMPLEMENT NETWORK OUT STATISTICS GETTE\\n String[] lineParts = getNetFile();\\n if(args.toLowerCase() == packetArg)\\n {\\n int newNetPackets = Integer.decode(lineParts[10]);\\n int retVal = newNetPackets - previousNetworkOutPackets;\\n previousNetworkOutPackets = newNetPackets;\\n return(retVal);\\n }\\n else\\n {\\n int newNetOut = Integer.decode(lineParts[9]);\\n int retVal = newNetOut - previousNetworkout;\\n previousNetworkout = newNetOut;\\n return(retVal);\\n }\\n }\",\n \"@Override\\r\\n\\tpublic int totalScore(GradeBean param) {\\n\\t\\treturn 0;\\r\\n\\t}\",\n \"public abstract void sendGlobalStats(ResponseBuilder rb, ShardRequest outgoing);\",\n \"private boolean convergence(List<Page> pages) {\\n\\t\\tdouble aveHubDelta = 100;\\n\\t\\tdouble aveAuthDelta = 100;\\n\\t\\tif (pages == null) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\n\\t\\t// get current values from pages\\n\\t\\tdouble[] currHubVals = new double[pages.size()];\\n\\t\\tdouble[] currAuthVals = new double[pages.size()];\\n\\t\\tfor (int i = 0; i < pages.size(); i++) {\\n\\t\\t\\tPage currPage = pages.get(i);\\n\\t\\t\\tcurrHubVals[i] = currPage.hub;\\n\\t\\t\\tcurrHubVals[i] = currPage.authority;\\n\\t\\t}\\n\\t\\tif (prevHubVals == null || prevAuthVals == null) {\\n\\t\\t\\tprevHubVals = currHubVals;\\n\\t\\t\\tprevAuthVals = currAuthVals;\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\t// compare to past values\\n\\t\\taveHubDelta = getAveDelta(currHubVals, prevHubVals);\\n\\t\\taveAuthDelta = getAveDelta(currAuthVals, prevAuthVals);\\n\\t\\tif (aveHubDelta + aveAuthDelta < DELTA_TOLERANCE || (Math.abs(prevAveHubDelta - aveHubDelta) < 0.01\\n\\t\\t\\t\\t&& Math.abs(prevAveAuthDelta - aveAuthDelta) < 0.01)) {\\n\\t\\t\\treturn true;\\n\\t\\t} else {\\n\\t\\t\\tprevHubVals = currHubVals;\\n\\t\\t\\tprevAuthVals = currAuthVals;\\n\\t\\t\\tprevAveHubDelta = aveHubDelta;\\n\\t\\t\\tprevAveAuthDelta = aveAuthDelta;\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t}\",\n \"private int calculateHash(int id, String uri) {\\n\\t\\treturn uri.hashCode() * Constants.HASH_PRIMES[0]\\n\\t\\t\\t\\t+ Integer.toString(id).hashCode() * Constants.HASH_PRIMES[1];\\n\\t}\",\n \"private Double calculateMatchScore(String query, ConceptMap matchedMapping) {\\n return 10000d;\\n }\",\n \"abstract float linkSize(String link);\",\n \"private int getSumH(int[][] a, int jh) {\\n int sum = 0;\\n for (int j = 0; j < a.length; j++) {\\n sum += a[jh][j];\\n }\\n return sum;\\n }\",\n \"private int riseRule(int dataSize) {\\n int binNum = currentBinNum;\\n\\n if (dataSize != 0) {\\n binNum = (int) (.5 + 2 * Math.pow((double) dataSize, 1 / 3.0));\\n }\\n return binNum;\\n }\",\n \"public int getHomeScore() {\\n return homeScore;\\n }\",\n \"public ArrayList<Double> computeRanks(ArrayList<String> vertices) {\\r\\n\\t\\t// TODO : Add code here\\r\\n\\t\\tArrayList<Double> result=new ArrayList<>();\\r\\n\\t\\tfor(int i=0;i<vertices.size();i++){\\r\\n\\t\\t\\tString url=vertices.get(i);\\r\\n\\t\\t\\tArrayList<String> edges=internet.getEdgesInto(url);\\r\\n\\t\\t\\tdouble sum= edges.stream().mapToDouble(edge -> internet.getPageRank(edge) / internet.getOutDegree(edge)).sum();\\r\\n\\t\\t\\tdouble rank=0.5+0.5*sum;\\r\\n\\t\\t\\tresult.add(i,rank);\\r\\n\\t\\t}\\r\\n\\t\\treturn result;\\r\\n\\t}\",\n \"public final void addScore(int iScore) {\\n\\t\\tscore += iScore;\\n\\t}\",\n \"void parseline(){\\n\\t\\ttry {\\n\\t\\tString currentLine;\\n\\t\\tBufferedReader freader = new BufferedReader(new FileReader(\\\"C:\\\\\\\\wt2g_inlinks.txt\\\")); //default to dataset\\n\\t//\\tBufferedReader freader = new BufferedReader(new FileReader(\\\"C:\\\\\\\\inlink.txt\\\")); // Use this for Graph \\n\\t\\tSet<String> ar ;\\n\\t\\t\\twhile((currentLine= freader.readLine()) != null){ \\n\\t\\t\\t\\tSet<String> in_data = new HashSet<>();\\n\\t\\t\\t\\tStringTokenizer st = new StringTokenizer(currentLine,\\\" \\\");\\n\\t\\t\\t\\tString node = st.nextToken();\\n\\t\\t\\t\\tif(!inlinks.containsKey(node)){\\n\\t\\t\\t\\t\\tinlinks.put(node, null); // All the nodes are stored in inlinks Map\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\twhile(st.hasMoreTokens()){\\n\\t\\t\\t\\t\\t\\tString edge = st.nextToken();\\n\\t\\t\\t\\t\\t if(!inlinks.containsKey(edge)){\\n\\t\\t\\t\\t\\t \\tinlinks.put(edge, null);\\n\\t\\t\\t\\t\\t } \\n\\t\\t\\t\\t\\t if(inlinks.get(node)!=null){\\n\\t\\t\\t\\t\\t \\tSet B = inlinks.get(node);\\n\\t\\t\\t\\t\\t \\tB.add(edge);\\n\\t\\t\\t\\t\\t \\tinlinks.put(node, B);\\n\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t else{\\n\\t\\t\\t\\t\\t in_data.add(edge);\\n\\t\\t\\t\\t\\t inlinks.put(node, in_data);\\n\\t\\t\\t\\t\\t }\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t if(!(outlinks.containsKey(edge))){ //Creating the outlinks Map \\n\\t\\t\\t\\t\\t\\t Set<String > nd = new HashSet<>();\\n\\t\\t\\t\\t\\t\\t nd.add(node);\\n\\t\\t\\t\\t\\t outlinks.put(edge, nd);\\n\\t\\t\\t\\t\\t }\\t\\n\\t\\t\\t\\t\\t else{\\n\\t\\t\\t\\t\\t\\t ar = outlinks.get(edge);\\n\\t\\t\\t\\t\\t\\t ar.add(node);\\n\\t\\t\\t\\t\\t\\t outlinks.put(edge, ar);\\n\\t\\t\\t\\t\\t }\\n\\t\\t\\t\\t\\t}\\n \\t\\t\\t\\t \\n\\t\\t\\t}\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t }\\n\\t\\t\\n\\t\\tSystem.out.println(\\\"Total Nodes : \\\" +inlinks.size());\\n\\t\\t\\n for(String str : inlinks.keySet()){\\n \\tSet s1 = inlinks.get(str);\\n \\tif(s1 != null)\\n \\tinlinks_count.put(str, s1.size());\\n \\telse\\n \\t\\tsource++;\\n }\\n System.out.println(\\\"Total Source \\\" +source);\\n \\n for(String str : outlinks.keySet()){\\n \\tSet s1 = outlinks.get(str);\\n \\toutlinks_count.put(str, s1.size());\\n }\\n\\t}\",\n \"public void calculateOutDegree(int outdeg[]) {\\n for (int i = 0; i < num_edges; ++i) {\\n outdeg[sources[i]]++;\\n }\\n }\",\n \"protected abstract double relevantScore(Tweet tweet);\",\n \"public int getTotalScore(){\\r\\n return totalScore;\\r\\n }\",\n \"private void searchNext(CrawlingSession executor, Link link) {\\n HTMLLinkExtractor htmlLinkExtractor = HTMLLinkExtractor.getInstance();\\n// htmlLinkExtractor.setWorking(link);\\n \\n Source source = CrawlingSources.getInstance().getSource(link.getSourceFullName());\\n if(source == null) return;\\n \\n SessionStore store = SessionStores.getStore(source.getCodeName());\\n if(store == null) return;\\n\\n List<Link> collection = htmlLinkExtractor.getLinks(link, /*link.getSource(),*/ pagePaths);\\n// List<Link> collection = htmlLinkExtractor.getLinks(srResource);\\n List<Link> nextLinks = createNextLink(link, collection);\\n if(nextLinks.size() < 1) return;\\n if(userPaths == null && contentPaths == null) {\\n executor.addElement(nextLinks, link.getSourceFullName());\\n return;\\n }\\n \\n \\n if(nextLinks.size() < 2) {\\n executor.addElement(nextLinks, link.getSourceFullName());\\n }\\n \\n// long start = System.currentTimeMillis();\\n \\n int [] posts = new int[nextLinks.size()];\\n for(int i = 0; i < nextLinks.size(); i++) {\\n try {\\n posts[i] = PageDownloadedTracker.searchCode(nextLinks.get(i), true);\\n } catch (Throwable e) {\\n posts[i] = -1;\\n LogService.getInstance().setThrowable(link.getSourceFullName(), e);\\n// executor.abortSession();\\n// return;\\n }\\n }\\n \\n int max = 1;\\n for(int i = 0; i < posts.length; i++) {\\n if(posts[i] > max) max = posts[i];\\n }\\n \\n// System.out.println(\\\" thay max post la \\\"+ max);\\n \\n List<Link> updateLinks = new ArrayList<Link>();\\n for(int i = 0; i < posts.length; i++) {\\n if(posts[i] >= max) continue;\\n updateLinks.add(nextLinks.get(i));\\n }\\n \\n// long end = System.currentTimeMillis();\\n// System.out.println(\\\"step. 4 \\\"+ link.getUrl()+ \\\" xu ly cai ni mat \\\" + (end - start));\\n \\n executor.addElement(updateLinks, link.getSourceFullName());\\n \\n /*int minPost = -1;\\n Link minLink = null;\\n List<Link> updateLinks = new ArrayList<Link>();\\n for(int i = 0; i < nextLinks.size(); i++) {\\n Link ele = nextLinks.get(i);\\n int post = 0;\\n try {\\n post = PostForumTrackerService2.getInstance().read(ele.getAddressCode());\\n } catch (Exception e) {\\n LogService.getInstance().setThrowable(link.getSource(), e);\\n }\\n if(post < 1) {\\n updateLinks.add(ele);\\n continue;\\n } \\n\\n if(minPost < 0 || post < minPost){\\n minLink = ele;\\n minPost = post; \\n } \\n }\\n\\n if(minLink != null) updateLinks.add(minLink);\\n executor.addElement(updateLinks, link.getSource());*/\\n }\",\n \"@Override\\n public float customScore(int doc, float subQueryScore, float[] valSrcScores) throws IOException {\\n\\n Document document =context.reader().document(doc);\\n IndexableField availabilityIf= document.getField(FieldConstants.AVAILABILITY);// the field I wanted to extract\\n float availabilityScore = availabilityIf.numericValue().floatValue();\\n\\n IndexableField accuracyIf= document.getField(FieldConstants.AVAILABILITY);// the field I wanted to extract\\n float accuracyScore = accuracyIf.numericValue().floatValue();\\n\\n IndexableField acceptRateIf= document.getField(FieldConstants.AVAILABILITY);// the field I wanted to extract\\n float acceptRate = acceptRateIf.numericValue().floatValue();\\n\\n return (1 + availabilityScore * AVAILABILITY_MULTIPLIER\\n + accuracyScore * ACCURACY_MULTIPLIER\\n + ACCEPT_RATE_MULTIPLIER * acceptRate)\\n * subQueryScore;\\n\\n }\",\n \"@Test(priority = 5)\\n\\tpublic void TC_05_Validate_SchoolComputedValues_Link_Navigation() {\\n\\t\\tString ScreenshotName = new Object(){}.getClass().getEnclosingMethod().getName();\\n\\n\\t\\tReporter.log(cm.ReporterText(\\\"TestCase : \\\" + ScreenshotName));\\n\\n\\t\\tco.click(homePage.schoolComputedValuesLink, \\\"Clicking on School Computed Value Link in Home Page.\\\");\\n\\t\\tString actualText=co.getText(homePage.pageTitle,\\\"Extracting the PageTitle\\\");\\n\\t\\tcm.captureElementScreenShot(driver, homePage.pageTitle, ScreenshotName, cm.basepath());\\n\\t\\tReporter.log(cm.ReporterLink(ScreenshotName));\\n\\t\\tSystem.out.println(\\\"Asserting the test case\\\");\\n\\n\\t\\tAssert.assertEquals(actualText, \\\"Computed Values\\\", \\\"The page did not navigate to Computed Values Page.\\\");\\n\\t}\",\n \"private void computeHistogramBins() {\\r\\n int nBins = (int) Math.ceil(hismax / binWidth);\\r\\n histoBins = new double[nBins];\\r\\n for (int i = 0; i < nBins; i++) {\\r\\n histoBins[i] = binWidth * (double) i + binWidth;\\r\\n }\\r\\n }\",\n \"public double web(double html,double javascript,double mySQL,double php,double webExam)\\n {\\n double a = ((10%100)*html)/100;\\n double b = ((15%100)*javascript)/100;\\n double c = ((12.5%100)*mySQL)/100;\\n double d = ((12.5%100)*php)/100;\\n double e = ((50%100)*webExam)/100;\\n double grade = ((a+b+c+d+e)/8);//*100;\\n return grade;\\n }\",\n \"public int hashCode()\\n\\t{\\n\\t\\tint result = 17;\\n\\n\\t\\tlong tmp;\\n\\t\\tif (_rsHeader != null && !org.castor.core.util.CycleBreaker.startingToCycle(_rsHeader))\\n\\t\\t{\\n\\t\\t\\tresult = 37 * result + _rsHeader.hashCode();\\n\\t\\t\\torg.castor.core.util.CycleBreaker.releaseCycleHandle(_rsHeader);\\n\\t\\t}\\n\\n\\t\\treturn result;\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.78764486","0.5537391","0.5258429","0.49467254","0.48087496","0.4700815","0.46703494","0.46089837","0.44824108","0.43880585","0.4351818","0.4350041","0.4341886","0.43400538","0.42933246","0.4293078","0.42782247","0.42239922","0.42114788","0.42013538","0.41885024","0.4188349","0.4183796","0.41789508","0.41704232","0.41580775","0.4157403","0.41470066","0.41447592","0.41401458","0.41313624","0.41295552","0.4101678","0.40978646","0.40947542","0.40779868","0.40698534","0.40619552","0.40594864","0.40592295","0.40494046","0.40445408","0.40421283","0.40379202","0.40370503","0.40242827","0.40119776","0.39970732","0.39953607","0.39953136","0.399015","0.39834043","0.3982645","0.39797968","0.39787835","0.39684206","0.39654568","0.3962861","0.3960857","0.39527905","0.39454865","0.3944623","0.3935063","0.39318228","0.39218256","0.39210263","0.3919764","0.39148864","0.39083296","0.39078018","0.390407","0.39035153","0.38979998","0.38825104","0.38722575","0.3871541","0.38686112","0.3868284","0.38648728","0.38607115","0.38534406","0.38374275","0.383742","0.38336825","0.38296738","0.38295397","0.38266677","0.38264874","0.38201225","0.3812365","0.3810454","0.38074476","0.38009363","0.3800157","0.37988678","0.3792085","0.37914643","0.37913516","0.37836927","0.37825534"],"string":"[\n \"0.78764486\",\n \"0.5537391\",\n \"0.5258429\",\n \"0.49467254\",\n \"0.48087496\",\n \"0.4700815\",\n \"0.46703494\",\n \"0.46089837\",\n \"0.44824108\",\n \"0.43880585\",\n \"0.4351818\",\n \"0.4350041\",\n \"0.4341886\",\n \"0.43400538\",\n \"0.42933246\",\n \"0.4293078\",\n \"0.42782247\",\n \"0.42239922\",\n \"0.42114788\",\n \"0.42013538\",\n \"0.41885024\",\n \"0.4188349\",\n \"0.4183796\",\n \"0.41789508\",\n \"0.41704232\",\n \"0.41580775\",\n \"0.4157403\",\n \"0.41470066\",\n \"0.41447592\",\n \"0.41401458\",\n \"0.41313624\",\n \"0.41295552\",\n \"0.4101678\",\n \"0.40978646\",\n \"0.40947542\",\n \"0.40779868\",\n \"0.40698534\",\n \"0.40619552\",\n \"0.40594864\",\n \"0.40592295\",\n \"0.40494046\",\n \"0.40445408\",\n \"0.40421283\",\n \"0.40379202\",\n \"0.40370503\",\n \"0.40242827\",\n \"0.40119776\",\n \"0.39970732\",\n \"0.39953607\",\n \"0.39953136\",\n \"0.399015\",\n \"0.39834043\",\n \"0.3982645\",\n \"0.39797968\",\n \"0.39787835\",\n \"0.39684206\",\n \"0.39654568\",\n \"0.3962861\",\n \"0.3960857\",\n \"0.39527905\",\n \"0.39454865\",\n \"0.3944623\",\n \"0.3935063\",\n \"0.39318228\",\n \"0.39218256\",\n \"0.39210263\",\n \"0.3919764\",\n \"0.39148864\",\n \"0.39083296\",\n \"0.39078018\",\n \"0.390407\",\n \"0.39035153\",\n \"0.38979998\",\n \"0.38825104\",\n \"0.38722575\",\n \"0.3871541\",\n \"0.38686112\",\n \"0.3868284\",\n \"0.38648728\",\n \"0.38607115\",\n \"0.38534406\",\n \"0.38374275\",\n \"0.383742\",\n \"0.38336825\",\n \"0.38296738\",\n \"0.38295397\",\n \"0.38266677\",\n \"0.38264874\",\n \"0.38201225\",\n \"0.3812365\",\n \"0.3810454\",\n \"0.38074476\",\n \"0.38009363\",\n \"0.3800157\",\n \"0.37988678\",\n \"0.3792085\",\n \"0.37914643\",\n \"0.37913516\",\n \"0.37836927\",\n \"0.37825534\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7250174"},"document_rank":{"kind":"string","value":"1"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":1325,"numItemsPerPage":100,"numTotalItems":136513,"offset":132500,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3Mjk0MDEwNywic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1qYXZhLXYxIiwiZXhwIjoxNzcyOTQzNzA3LCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.Zy-On0MvjmcR-cWoHTZvP_AOm8qa5OiUad9h982NAQy2PkUH8wBvoOs4DuEUlM7q3tAZet7TPi5pO0NNtVENDA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":136513,"numBytesParquet":1558040430}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 7 33.1k | document stringlengths 7 335k | metadata dict | negatives listlengths 3 101 | negative_scores listlengths 3 101 | document_score stringlengths 3 10 | document_rank stringclasses 102 values |
|---|---|---|---|---|---|---|
Constructs the swing components for the interface and adds them to the pane. | private void addComponentsToPane(final Container pane) {
pane.setLayout(new BorderLayout());
JScrollPane header = getHeader();
JScrollPane center = getCenter();
pane.add(header, BorderLayout.PAGE_START);
pane.add(center, BorderLayout.CENTER);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void addComponents() {\n //this.getContentPane().add(new ViewDeckComputer(), BorderLayout.NORTH);\n createTopPanel();\n createCentralPanel();\n createBottomPanel();\n }",
"private void initComponents() {\r\n\r\n setLayout(new java.awt.BorderLayout());\r\n }",
"p... | [
"0.7612649",
"0.7522567",
"0.7485233",
"0.7484145",
"0.7459157",
"0.7421608",
"0.73983675",
"0.7363626",
"0.73631865",
"0.73142046",
"0.73076165",
"0.7282613",
"0.71932507",
"0.71830624",
"0.71763545",
"0.712361",
"0.71084106",
"0.7100141",
"0.70947134",
"0.7066694",
"0.70647... | 0.0 | -1 |
Update the port number in the port label. | public void updatePortLabel(String newPort) {
if (portLabel == null) {
portLabel = new JLabel();
}
portLabel.setText("Port: " + newPort);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void setPort(int value) {\n \n port_ = value;\n }",
"private void setPort(int value) {\n \n port_ = value;\n }",
"public void setPort(int value) {\n this.port = value;\n }",
"public Builder setPort(int value) {\n\n port_ = value;\n ... | [
"0.7063673",
"0.7063673",
"0.70571196",
"0.6979757",
"0.6979757",
"0.69076604",
"0.69076604",
"0.69042224",
"0.6810534",
"0.6810534",
"0.679259",
"0.67683566",
"0.67588854",
"0.67225933",
"0.6714476",
"0.6713164",
"0.67052126",
"0.6686371",
"0.6680433",
"0.6680433",
"0.668043... | 0.77700984 | 0 |
Centres the frame in the middle of the screen. Found on stackoverflow: // | private void centreFrameInScreen() {
Dimension dim = Toolkit.getDefaultToolkit().getScreenSize();
this.setLocation(dim.width/2-this.getSize().width/2, dim.height/2-this.getSize().height/2);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void centerFrame() {\n Dimension dimension = Toolkit.getDefaultToolkit().getScreenSize();\n\n int x = (int) ((dimension.getWidth() - this.getWidth()) / 2);\n int y = (int) ((dimension.getHeight() - this.getHeight()) / 2);\n\n this.setLocation(x, y);\n }",
"public void cente... | [
"0.85721606",
"0.8518409",
"0.8429975",
"0.8306353",
"0.8283388",
"0.81357616",
"0.80861896",
"0.80709416",
"0.79567367",
"0.787246",
"0.7833885",
"0.7581006",
"0.7241625",
"0.7241292",
"0.72360677",
"0.72166866",
"0.717151",
"0.71225864",
"0.70907706",
"0.70571256",
"0.70360... | 0.85988444 | 0 |
Tests one scenario with no conflict, and one scenario that should result in a scheduling conflict | @Test
public void testcheckConflict() {
Activity a1 = new Course("CSC216", "Programming Concepts - Java", "001", 4, "sesmith5", 12, "MW", 1330, 1445);
Activity a2 = new Course("CSC216", "Programming Concepts - Java", "001", 4, "sesmith5", 12, "TH", 1330, 1445);
try {
a1.checkConflict(a2);
assertEquals("Incorrect meeting string for this Activity.", "MW 1:30PM-2:45PM", a1.getMeetingString());
assertEquals("Incorrect meeting string for possibleConflictingActivity.", "TH 1:30PM-2:45PM", a2.getMeetingString());
a2.checkConflict(a1);
assertEquals("Incorrect meeting string for this Activity.", "MW 1:30PM-2:45PM", a1.getMeetingString());
assertEquals("Incorrect meeting string for possibleConflictingActivity.", "TH 1:30PM-2:45PM", a2.getMeetingString());
} catch (ConflictException e) {
fail("A ConflictException was thrown when two Activities at the same time on completely distinct days were compared.");
}
a1.setMeetingDays("TH");
a1.setActivityTime(1445, 1530);
try {
a1.checkConflict(a2);
fail(); //ConflictException should have been thrown, but was not.
} catch (ConflictException e) {
//Check that the internal state didn't change during method call.
assertEquals("TH 2:45PM-3:30PM", a1.getMeetingString());
assertEquals("TH 1:30PM-2:45PM", a2.getMeetingString());
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void TEAM3_CONTROLLER_UT04() {\n\t\t// PRECONDITIONS\n\t\tClassDetailsStub c1 = new ClassDetailsStub(TEST_CONFIG.SatOnly),\n\t\t\t\t\t\t c2 = new ClassDetailsStub(TEST_CONFIG.MonWedFri2);\n\t\t\n\t\tArrayList<ClassDetailsStub> s1 = new ArrayList<ClassDetailsStub>();\n\t\ts1.add(c1);\n\t\t\n\t\tArra... | [
"0.6378035",
"0.6347679",
"0.6275696",
"0.6156491",
"0.61072534",
"0.60900503",
"0.60074127",
"0.5999528",
"0.59688634",
"0.5920724",
"0.5915417",
"0.5894704",
"0.5845152",
"0.5832783",
"0.5806939",
"0.58007765",
"0.57939994",
"0.5769514",
"0.5681234",
"0.5673408",
"0.5673185... | 0.6627933 | 0 |
Checks conflict when it's only on one day | @Test
public void testCheckCoflictOneDay() {
Activity a1 = new Course("CSC216", "Programming Concepts - Java", "001", 4, "sesmith5", 12, "MWF", 1330, 1445);
Activity a2 = new Course("CSC216", "Programming Concepts - Java", "001", 4, "sesmith5", 12, "TWH", 1330, 1445);
try {
a1.checkConflict(a2);
fail(); //ConflictException should have been thrown, but was not.
} catch (ConflictException e) {
//Check that the internal state didn't change during method call.
assertEquals("MWF 1:30PM-2:45PM", a1.getMeetingString());
assertEquals("TWH 1:30PM-2:45PM", a2.getMeetingString());
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private boolean checkConflict(Course c1, Course c2) {\n\n\t\tString day1 = c1.getDay1();\n\t\tString day2 = c1.getDay2();\n\t\tString cday1 = c2.getDay1();\n\t\tString cday2 = c2.getDay2();\n\n\t\tfloat startTime = Float.parseFloat(c1.getStarttime());\n\t\tfloat endTime = Float.parseFloat(c1.getEndtime());\n\t\tfl... | [
"0.62186354",
"0.5989323",
"0.5983656",
"0.5978123",
"0.58196837",
"0.5764532",
"0.57468057",
"0.5692332",
"0.5668459",
"0.5550438",
"0.54198736",
"0.53581893",
"0.53393173",
"0.53389055",
"0.5337708",
"0.5321542",
"0.53142685",
"0.5281269",
"0.5268781",
"0.52162707",
"0.5181... | 0.6501988 | 0 |
Checks for when end time of one activity is the same as the start time as another | @Test
public void testCheckConflictOverlappingTimes() {
Activity a1 = new Course("CSC216", "Programming Concepts - Java", "001", 4, "sesmith5", 12, "MW", 1330, 1445);
Activity a2 = new Course("CSC226", "Discrete Math", "001", 3, "sesmith5", 12, "MW", 1445, 1545);
try {
a1.checkConflict(a2);
fail(); //ConflictException should have been thrown, but was not.
} catch (ConflictException e) {
//Check that the internal state didn't change during method call.
assertEquals("MW 1:30PM-2:45PM", a1.getMeetingString());
assertEquals("MW 2:45PM-3:45PM", a2.getMeetingString());
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static int compareEndTimes(TaskItem task1, TaskItem task2) {\n\t\tif (task1 instanceof FloatingTask) {\n\t\t\tif (task2 instanceof FloatingTask) {\n\t\t\t\treturn 0;\n\t\t\t} else {\n\t\t\t\treturn -1;\n\t\t\t}\n\t\t} else if (task1 instanceof DeadlinedTask) {\n\t\t\tif (task2 instanceof FloatingTask) {\n\... | [
"0.68488234",
"0.66636",
"0.65641034",
"0.6508839",
"0.6472157",
"0.6378062",
"0.6312356",
"0.6305131",
"0.6305131",
"0.6216845",
"0.6201946",
"0.61813515",
"0.6122374",
"0.6117291",
"0.6114799",
"0.6082463",
"0.6051279",
"0.60489064",
"0.60473335",
"0.60339767",
"0.6014233",... | 0.5703608 | 39 |
TODO Autogenerated method stub | public static void main(String[] args) {
String[][] strArray1 = new String [][] { {"H", "e", "l", "l", "o"}, {"W", "o", "r", "l", "d"} };
String printString = "";
String[][] strArray2 = new String[][] { {"H", "W"}, {"e", "o"}, {"l", "r"}, {"l", "l"}, {"o", "d"} };
String printString2 = "";
String[][] strArray3 = new String[][] { {"o", "l", "l", "e", "H"}, {"d", "l", "r", "o", "W"} };
String printString3 = "";
String[][] strArray4 = new String[][] { {"W", "H"}, {"o", "e"}, {"r", "l"}, {"l", "l"}, {"d", "o"} };
String printString4 = "";
//printString = arrManip1(strArray1);
//System.out.println(printString);
//printString2 = arrManip2(strArray2);
//System.out.println(printString2);
//printString3 = arrManip3(strArray3);
//System.out.println(printString3);
printString4 = arrManip4(strArray4);
System.out.println(printString4);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
Creates a new CyanSus. | public CyanSus() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public org.oep.usermgt.model.Citizen create(long citizenId);",
"public CSSTidier() {\n\t}",
"Clase createClase();",
"public void create(){}",
"public Crate(){}",
"Secuencia createSecuencia();",
"public CasterSite() {\n\t}",
"@Override\n\tSauce createSauce() {\n\t\treturn new NYSauce();\n\t}",
"SUP ... | [
"0.5749011",
"0.56754416",
"0.55078924",
"0.54735416",
"0.5432237",
"0.5410228",
"0.54071456",
"0.5396294",
"0.53804004",
"0.5371729",
"0.5350337",
"0.5339122",
"0.5334922",
"0.53215456",
"0.52886724",
"0.52854437",
"0.5281787",
"0.5268373",
"0.5235665",
"0.5225053",
"0.52187... | 0.7304548 | 0 |
This method will be called once per scheduler run | @Override
public void periodic() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public void periodic() {\n // This method will be called once per scheduler run\n }",
"@Override\r\n\tpublic void doInitialSchedules() {\n\t}",
"@Override\n public void autonomousPeriodic() {\n \n Scheduler.getInstance().run();\n \n }",
"protected abstract void scheduler_i... | [
"0.79959375",
"0.71370137",
"0.7053971",
"0.6965585",
"0.69561255",
"0.6893155",
"0.68800586",
"0.6876765",
"0.67826825",
"0.67659134",
"0.6764156",
"0.67577356",
"0.6701485",
"0.6687244",
"0.6663779",
"0.6658108",
"0.6658108",
"0.6658108",
"0.6658108",
"0.6644757",
"0.664475... | 0.62594575 | 95 |
//InviteOrderRequest a = new InviteOrderRequest("loushuai4","AABBCC",1); //InviteOrderRequest b = new InviteOrderRequest("loushuai2","AABBCC",1); //InviteOrderRequest c = new InviteOrderRequest("loushuai3","AABBCC",1); List orderList = new ArrayList(); orderList.add(a); orderList.add(b); orderList.add(c); String s=inviteCreateOrderCmsProxy.addPointsByList(JsonEntityTransform.Object2Json(orderList)); | @Test
public void addPointsByListTest(){
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int processingContract(String json,List<Object[]> list);",
"private static JSONObject placeOrderByPost(org.json.simple.JSONObject shipMent) throws org.json.simple.parser.ParseException {\n\t\tJSONObject jObject = new JSONObject();\n\t\tString line = \"\";\n\t\tJSONParser parser = new JSONParser();\n\t\tJS... | [
"0.623526",
"0.6091975",
"0.573639",
"0.5729013",
"0.57071",
"0.5673751",
"0.56596476",
"0.5650961",
"0.560119",
"0.55856586",
"0.55802095",
"0.5550199",
"0.5528391",
"0.54999924",
"0.5496712",
"0.5456676",
"0.54535544",
"0.54358417",
"0.5432455",
"0.5411623",
"0.5380968",
... | 0.6111831 | 1 |
Code for drawing our shapes doesn't change at all! Since we intended to take advantage of polymorphism, we coded this "in general" with respect to the superclass, and not specific to any subclass. | public void paint(Graphics g) {
super.paint(g); // don't remove - required for GUI widgets to draw correctly
/************************
* Late Binding Demo
************************/
for (int i = 0; i < myShapes.length; i++) {
// which draw method is invoked here?
// There are many forms of the method (polymorphic),
// so which is chosen?
// Java has RTTI (run-time type info)
// about every object,
// and it uses this info to choose
// the correct method to invoke!
myShapes[i].draw(g);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void drawShape(Shape s) {\n }",
"public Shapes draw ( );",
"public void drawShape(Shape shape);",
"@Override\r\n\tpublic void draw() {\n\t\tSystem.out.println(\"Draw all shapes\");\r\n\t\t\r\n\t}",
"@Override\r\n\tpublic void draw() {\n\t\tSystem.out.println(\"Draw all shapes\");\r\n\t\t\r\n\t}",
"@Ov... | [
"0.75524443",
"0.74066657",
"0.73555034",
"0.7346724",
"0.7346724",
"0.7346724",
"0.714594",
"0.7137643",
"0.71057975",
"0.7056042",
"0.70454824",
"0.7012357",
"0.69970524",
"0.69970524",
"0.6971376",
"0.69597375",
"0.69424933",
"0.69147027",
"0.69147027",
"0.69147027",
"0.68... | 0.71268696 | 8 |
Gets the id of the city of the event. | public static String getWoeid(String city)
{
try {
String inline = useAPI("https://www.metaweather.com/api/location/search/?query=" + city);
if (!inline.equals("[]")) {
String[] words = inline.split(",");
String[] erg = words[2].split(":");
return erg[1];
}
} catch (IOException e) {
e.printStackTrace();
}
return null;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic int getCityId() {\n\t\treturn _locMstLocation.getCityId();\n\t}",
"public Long getCityId() {\n\t\treturn cityId;\n\t}",
"public String getCityId() {\n return cityId;\n }",
"public String getCityId() {\r\n return cityId;\r\n }",
"public String getCity_id() {\n re... | [
"0.7131815",
"0.6918243",
"0.68325585",
"0.68238443",
"0.68047357",
"0.6774589",
"0.6774589",
"0.677058",
"0.6732492",
"0.6678382",
"0.6608744",
"0.6600183",
"0.6596887",
"0.63221794",
"0.62982965",
"0.6179509",
"0.609342",
"0.60329056",
"0.5993422",
"0.5939346",
"0.5926275",... | 0.54097384 | 97 |
Sends a get request to the weatherAPI. | private static String useAPI(String urlString) throws IOException {
String inline = "";
URL url = new URL(urlString);
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestMethod("GET");
conn.connect();
int responsecode = conn.getResponseCode();
if(responsecode == 200) {
Scanner sc = new Scanner(url.openStream());
while(sc.hasNext()) {
inline += sc.nextLine();
}
sc.close();
conn.disconnect();
return inline;
}
conn.disconnect();
return "[]";
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void getWeatherData() {\n System.out.println(\"at getWeather\");\n String url = \"https://api.openweathermap.org/data/2.5/onecall/timemachine?lat=\";\n url += databaseHandler.getSingleExperimentInfoValue(experimentNumber, DatabaseHandler.SENDER_LATITUDE);\n url += \"&lon=\" + da... | [
"0.67201716",
"0.64397955",
"0.635942",
"0.6269713",
"0.6246299",
"0.6242069",
"0.6074545",
"0.6033388",
"0.60289615",
"0.59417075",
"0.59267145",
"0.5879859",
"0.58219653",
"0.5798934",
"0.5789417",
"0.5761625",
"0.57401377",
"0.5732224",
"0.5722418",
"0.5709952",
"0.5700456... | 0.0 | -1 |
handle reflection incompatible reference properties | private String toPropertyName(String element) {
String refPropertyName = handleRefProperty(element);
if (refPropertyName != null) {
return refPropertyName;
}
StringBuilder sb = new StringBuilder();
char[] chars = element.toCharArray();
boolean upper = true;
for (char c : chars) {
if (c == '_' || c == '-' || c == '.') {
upper = true;
} else if (upper) {
sb.append(Character.toUpperCase(c));
upper = false;
} else {
sb.append(c);
}
}
return sb.toString();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Ignore //DKH\n @Test\n public void testMakePersistentRecursesThroughReferenceFieldsSkippingNullReferences() {\n }",
"private void resolveReferenceableStringProperties() throws IOException {\n List<String> undefinedStringProperties = new ArrayList<>();\n ObjectMapper objectMapper = new Obj... | [
"0.5764944",
"0.5761372",
"0.5646338",
"0.55778086",
"0.55508024",
"0.55287373",
"0.54987586",
"0.54078025",
"0.5385536",
"0.5320769",
"0.5315107",
"0.5314116",
"0.52936846",
"0.5280528",
"0.5274432",
"0.52687603",
"0.5267457",
"0.5255393",
"0.52475494",
"0.52422017",
"0.5240... | 0.0 | -1 |
Returns the list of translatable packages in the module that caused the generator to run (the module under compilation). | public static Set<String> findTranslatablePackagesInModule(final GeneratorContext context) {
final Set<String> packages = new HashSet<String>();
try {
final StandardGeneratorContext stdContext = (StandardGeneratorContext) context;
final Field field = StandardGeneratorContext.class.getDeclaredField("module");
field.setAccessible(true);
final Object o = field.get(stdContext);
final ModuleDef moduleDef = (ModuleDef) o;
if (moduleDef == null) {
return Collections.emptySet();
}
// moduleName looks like "com.foo.xyz.MyModule" and we just want the package part
// for tests .JUnit is appended to the module name by GWT
final String moduleName = moduleDef.getCanonicalName().replace(".JUnit", "");
final int endIndex = moduleName.lastIndexOf('.');
final String modulePackage = endIndex == -1 ? "" : moduleName.substring(0, endIndex);
for (final String packageName : findTranslatablePackages(context)) {
if (packageName != null && packageName.startsWith(modulePackage)) {
packages.add(packageName);
}
}
}
catch (final NoSuchFieldException e) {
logger.error("the version of GWT you are running does not appear to be compatible with this version of Errai", e);
throw new RuntimeException("could not access the module field in the GeneratorContext");
}
catch (final Exception e) {
throw new RuntimeException("could not determine module package", e);
}
return packages;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static Set<String> findTranslatablePackages(final GeneratorContext context) {\n if (context.equals(_lastTranslatableContext) && _translatablePackagesCache != null) {\n return _translatablePackagesCache;\n }\n _lastTranslatableContext = context;\n\n final JPackage[] jPackages = context.getTy... | [
"0.7052466",
"0.6551231",
"0.6275992",
"0.6082084",
"0.58724946",
"0.58089036",
"0.57980376",
"0.57897234",
"0.5780761",
"0.57561404",
"0.5685806",
"0.5601869",
"0.5566305",
"0.5544789",
"0.55068505",
"0.5489947",
"0.54735035",
"0.54588807",
"0.5429777",
"0.5404902",
"0.53858... | 0.7865346 | 0 |
Returns a list of all translatable packages accessible to the module under compilation (including inherited modules). | public static Set<String> findTranslatablePackages(final GeneratorContext context) {
if (context.equals(_lastTranslatableContext) && _translatablePackagesCache != null) {
return _translatablePackagesCache;
}
_lastTranslatableContext = context;
final JPackage[] jPackages = context.getTypeOracle().getPackages();
final Set<String> packages = new HashSet<String>(jPackages.length * 2);
for (final JPackage p : jPackages) {
packages.add(p.getName());
}
return _translatablePackagesCache = Collections.unmodifiableSet(packages);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static Set<String> findTranslatablePackagesInModule(final GeneratorContext context) {\n final Set<String> packages = new HashSet<String>();\n try {\n final StandardGeneratorContext stdContext = (StandardGeneratorContext) context;\n final Field field = StandardGeneratorContext.class.getDeclar... | [
"0.7151653",
"0.65328485",
"0.5974629",
"0.590003",
"0.57629675",
"0.5757065",
"0.5727868",
"0.5681301",
"0.55954397",
"0.55755943",
"0.55112094",
"0.54864234",
"0.54669195",
"0.5466805",
"0.5411586",
"0.54076767",
"0.54061574",
"0.5401494",
"0.5396549",
"0.5396455",
"0.53904... | 0.67275375 | 1 |
Busca todos los choferes del centro de distribucion y a demas agrega una instancia que en los combobox de ZK permitira seleccionar todos. | @Transactional(readOnly = true)
List<Acondicionador> getAcondicionadoresForCombobox(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void construirTercerSetDeDominiosReglaCompleja() {\n\n\t\tlabeltituloSeleccionDominios = new JLabel();\n\n\t\tcomboDominiosSet3ReglaCompleja = new JComboBox(dominio);// creamos el Tercer combo,y le pasamos un array de cadenas\n\t\tcomboDominiosSet3ReglaCompleja.setSelectedIndex(0);// por defecto quiero visu... | [
"0.7005987",
"0.69182366",
"0.68673116",
"0.6831602",
"0.6654719",
"0.6541505",
"0.6516228",
"0.6513608",
"0.6437911",
"0.639201",
"0.6385542",
"0.6380939",
"0.6362846",
"0.6353962",
"0.6340075",
"0.62681764",
"0.6217849",
"0.6209727",
"0.6201849",
"0.6184852",
"0.6176444",
... | 0.0 | -1 |
Instantiates a new update record listener. | public UpdateRecordListener(MainView view) {
// TODO Auto-generated constructor stub
this.view = view;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void registerUpdateListener(IUpdateListener listener);",
"Future<UpdateListenerResponse> updateListener(\n UpdateListenerRequest request,\n AsyncHandler<UpdateListenerRequest, UpdateListenerResponse> handler);",
"public void addUpdateListener(StoreUpdateListener listener);",
"void updat... | [
"0.6070151",
"0.6034779",
"0.5918965",
"0.58359075",
"0.54963654",
"0.54073125",
"0.53195214",
"0.5304316",
"0.5273332",
"0.52340096",
"0.5226209",
"0.51566255",
"0.5145681",
"0.51185274",
"0.5103789",
"0.508836",
"0.5061147",
"0.50400305",
"0.50214756",
"0.50214374",
"0.4996... | 0.6324719 | 0 |
TODO Autogenerated method stub | @Override
public List<ShopCategory> queryList(ShopCategory shopCategoryCondition) {
return shopCategoryMapper.queryShopCategory(shopCategoryCondition);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
recupere le secteur dans lequel est l'avion dans le plan de vol | public Sector getSectorFromDate(Date date) {
return m_flightplan.getSectorFromDate(date);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void evoluer()\n {\n int taille = grille.length;\n int nbVivantes = 0;\n for(int i=-1; i<2; i++)\n {\n int xx = ((x+i)+taille)%taille; // si x+i=-1, xx=taille-1. si x+i=taille, xx=0\n for(int j=-1; j<2; j++)\n {\n if (i==0 && j==0) cont... | [
"0.6013089",
"0.5976342",
"0.5852488",
"0.57620835",
"0.5722279",
"0.56738025",
"0.563719",
"0.5610369",
"0.5572732",
"0.5535498",
"0.5460905",
"0.54560393",
"0.54531807",
"0.54512626",
"0.5440823",
"0.5419828",
"0.54142684",
"0.5385924",
"0.5381659",
"0.5362135",
"0.5348064"... | 0.0 | -1 |
TODO Autogenerated method stub | public void setAOC(AOC aoc) {
this.aoc = aoc;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
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"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub | public AOC getAOC() {
return aoc;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub Deklarisanje niza (niza stringova) | public static void main(String[] args) {
String[] Ime={"Marko", "Petar", "Milan"};
String[] Prezime= {"Markovic", "Petrovic","Milanovic"};
// kratka forma for petlje
// ovo ce biti dovoljno za sad
for(int i=0;i<Ime.length;i++){
System.out.println(Ime[i]+" "+Prezime[i]);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setNota(String nota) {\n this.nota = nota;\n }",
"java.lang.String getNume();",
"java.lang.String getNume();",
"public String getNota() {\n return nota;\n }",
"public String getnAsignatura() {\r\n return nAsignatura;\r\n }",
"public void setNaziv(String naziv) {\r\n\t\tthis.... | [
"0.6935054",
"0.6809921",
"0.6809921",
"0.6775519",
"0.66431206",
"0.6629637",
"0.6608307",
"0.65930885",
"0.6515669",
"0.64796096",
"0.6455698",
"0.6451479",
"0.6434301",
"0.6410573",
"0.63891256",
"0.63460934",
"0.625141",
"0.62461716",
"0.6235814",
"0.621813",
"0.6192617",... | 0.0 | -1 |
Gets the unique id. | public Long getId () {
return id;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static String getUniqueIdentifier() {\r\n UUID uuid = UUID.randomUUID();\r\n return uuid.toString();\r\n }",
"String getUniqueId();",
"@NonNull\n public final synchronized String getId() {\n if (id == null) {\n id = UUID.randomUUID().toString();\n }\n ... | [
"0.831817",
"0.82763946",
"0.8244867",
"0.82186836",
"0.82077813",
"0.81292814",
"0.81154215",
"0.8057151",
"0.804915",
"0.7984324",
"0.7899833",
"0.7886772",
"0.7877522",
"0.7875297",
"0.7862932",
"0.7788896",
"0.7776494",
"0.7710699",
"0.7695828",
"0.76905245",
"0.7682747",... | 0.0 | -1 |
Gets the text body. | public String getBody () {
return body;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String getBodyText() {\n return bodyText;\n }",
"public String getBody(){\n return bodiesText;\n }",
"String getBody();",
"String getBody();",
"String getBody();",
"String getBody();",
"public String getBody()\n\t{\n\t\treturn m_sBody;\t\n\t}",
"protected Text getText() {... | [
"0.814471",
"0.77711",
"0.73306376",
"0.73306376",
"0.73306376",
"0.73306376",
"0.72668225",
"0.72303677",
"0.7226477",
"0.7203019",
"0.71874076",
"0.7149787",
"0.7141223",
"0.7134842",
"0.7130592",
"0.71297336",
"0.71175265",
"0.71126026",
"0.7109087",
"0.71046734",
"0.71046... | 0.7106059 | 19 |
Gets the annotation category. | public AnnotationCategory getCategory () {
return category;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"com.google.ads.googleads.v14.services.AudienceInsightsCategory getCategory();",
"public String getCategory() {\t//TODO - change to array list of categories\n\t\treturn category;\n\t}",
"public EntityCategory getCategory ( ) {\n\t\treturn extract ( handle -> handle.getCategory ( ) );\n\t}",
"CodeType getCateg... | [
"0.73596555",
"0.7127264",
"0.67755896",
"0.6726239",
"0.6697474",
"0.669267",
"0.66646814",
"0.6651415",
"0.6651415",
"0.6649914",
"0.6631021",
"0.6611612",
"0.6611612",
"0.65991926",
"0.6586138",
"0.65858644",
"0.6582956",
"0.65759146",
"0.6569336",
"0.6569336",
"0.6561582"... | 0.85198927 | 0 |
Gets the work part. | public WorkPart getWorkPart () {
if(workPart==null && annotates!=null) {workPart = WorkUtils.getWorkPartByTag(annotates);}
return workPart;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Part getPart() {\n if ( isZombie( part ) ) {\n Part part = segment.getDefaultPart();\n getCommander().requestLockOn( part );\n return part;\n } else {\n return part;\n }\n }",
"@Override\r\n\tpublic IWorkbenchPart getPart() {\n\t\treturn ... | [
"0.6777695",
"0.6523489",
"0.65144914",
"0.6502655",
"0.64873934",
"0.6397133",
"0.63248444",
"0.6291106",
"0.6281837",
"0.62741435",
"0.62687",
"0.6262469",
"0.62213",
"0.6183339",
"0.61695063",
"0.61343294",
"0.61338896",
"0.6112323",
"0.6086072",
"0.6075661",
"0.60526294",... | 0.81984335 | 0 |
Gets the web page URL. | public String getWebPageURL()
{
return webPageURL;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static String getPageUrl() {\n\t\tLOG.info(\"Reading current page URL.\");\n\t\treturn Constants.driver.getCurrentUrl();\n\n\t}",
"public String getPageUrl() {\n return pageUrl;\n }",
"public String getPageUrl() {\n\t\treturn pageUrl;\n\t}",
"java.lang.String getUrl();",
"java.lang.String ... | [
"0.77639884",
"0.765572",
"0.76510924",
"0.75999445",
"0.75999445",
"0.75999445",
"0.75999445",
"0.75999445",
"0.75999445",
"0.7480167",
"0.7463519",
"0.7440362",
"0.7424049",
"0.7413946",
"0.74103016",
"0.7385706",
"0.7353191",
"0.7350854",
"0.7349679",
"0.73212934",
"0.7306... | 0.7989837 | 0 |
Gets the creation date. | public Date getCreationTime()
{
return creationTime;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Date getCreationDate();",
"public long getCreationDate() {\n return creationDate_;\n }",
"public long getCreationDate() {\n return creationDate_;\n }",
"public Date getCreationDate();",
"public Long getCreationDate()\r\n\t{\r\n\t\treturn creationDate;\r\n\t}",
"@java.lang.Override\n pu... | [
"0.87533367",
"0.85429907",
"0.84840727",
"0.84804815",
"0.8415665",
"0.84149456",
"0.84121567",
"0.8393098",
"0.8385261",
"0.83340985",
"0.8330943",
"0.8284062",
"0.82623315",
"0.825937",
"0.8240863",
"0.8234622",
"0.8231846",
"0.82235813",
"0.8196122",
"0.8189712",
"0.81642... | 0.8220795 | 18 |
Gets the modification date. | public Date getModificationTime()
{
return modificationTime;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Date getMODIFIED_DATE() {\r\n return MODIFIED_DATE;\r\n }",
"Date getModifyDate();",
"public Date getdModifyDate() {\r\n return dModifyDate;\r\n }",
"public Date getdModifyDate() {\r\n return dModifyDate;\r\n }",
"public Date getModificationDate() {\n return m_module.getConfigur... | [
"0.80771303",
"0.805083",
"0.8045645",
"0.8045645",
"0.8037399",
"0.7999814",
"0.7930169",
"0.7906378",
"0.78841764",
"0.7869331",
"0.7869331",
"0.7869331",
"0.7832929",
"0.77413183",
"0.77413183",
"0.77413183",
"0.7734089",
"0.7734089",
"0.7734089",
"0.7710298",
"0.7683495",... | 0.7899476 | 8 |
Get the public flag. | public boolean getIsPublic()
{
return isPublic;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Boolean getPublicAccess() {\n return publicAccess;\n }",
"public boolean getIsPublic()\n {\n return isPublic;\n }",
"public Boolean getIsPublic() {\n\t\treturn isPublic;\n\t}",
"public boolean isPublic()\n {\n ensureLoaded();\n return m_flags.isPublic();\n ... | [
"0.80914605",
"0.79108864",
"0.7769144",
"0.74628663",
"0.72994477",
"0.69358236",
"0.68684036",
"0.68501854",
"0.6777439",
"0.6745917",
"0.6736378",
"0.6711548",
"0.6660388",
"0.66585773",
"0.66462433",
"0.6642446",
"0.6637136",
"0.6623201",
"0.6620293",
"0.6620234",
"0.6618... | 0.78198105 | 2 |
Get the active flag. | public boolean getIsActive()
{
return isActive;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Boolean getActiveflag() {\n return activeflag;\n }",
"public Boolean getActiveFlag() {\n\t\treturn activeFlag;\n\t}",
"public String getActiveflag() {\n return (String)getAttributeInternal(ACTIVEFLAG);\n }",
"public String getActiveFlag() {\n return (String) getAttributeInte... | [
"0.879628",
"0.86549187",
"0.8135618",
"0.80850214",
"0.80675864",
"0.8038435",
"0.8038435",
"0.800672",
"0.7989136",
"0.79696196",
"0.7886929",
"0.7827759",
"0.7739305",
"0.76888263",
"0.768414",
"0.7678738",
"0.76069045",
"0.75899094",
"0.75763494",
"0.7571176",
"0.75603",
... | 0.7519252 | 29 |
Sets the web page URL. | public void setWebPageURL( String webPageURL )
{
this.webPageURL = webPageURL;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setUrl(URL url)\n {\n this.url = url;\n }",
"public void setURL(String url);",
"public void setUrl(String url);",
"public void setUrl(String url);",
"public void setUrl(String url) {\n\t\tthis.url = url;\n\t\tthis.handleConfig(\"url\", url);\n\t}",
"public void setUrl(String url) {\n ... | [
"0.7520856",
"0.7518418",
"0.73993194",
"0.73993194",
"0.7396683",
"0.73820615",
"0.72936517",
"0.719276",
"0.7175365",
"0.7147459",
"0.71412593",
"0.71224314",
"0.7107289",
"0.7096435",
"0.7096435",
"0.7046453",
"0.70326257",
"0.70326257",
"0.70326257",
"0.7028603",
"0.70054... | 0.7499597 | 2 |
Sets the creation time. | public void setCreationTime( Date creationTime )
{
this.creationTime = creationTime;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setCreationTime(DateTime creationTime) {\n this.created = creationTime;\n }",
"public void setCreationTime(DateTime creationTime) {\n this.creationTime = creationTime;\n }",
"public void setCreationTime(Date creationTime) {\n this.creationTime = creationTime;\n }",
"public void ... | [
"0.8039692",
"0.7951611",
"0.78391606",
"0.78391606",
"0.7712172",
"0.76413643",
"0.76413643",
"0.76413643",
"0.7609519",
"0.7602472",
"0.7599823",
"0.7575495",
"0.75379366",
"0.753599",
"0.7463073",
"0.7452752",
"0.7452752",
"0.73968244",
"0.73712087",
"0.737059",
"0.7357722... | 0.78627926 | 2 |
Sets the modification time. | public void setModificationTime( Date modificationTime )
{
this.modificationTime = modificationTime;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void setLastModifiedTime( long modTime ) throws FileSystemException;",
"public void setMtime(Date mtime) {\n this.mtime = mtime;\n }",
"public void setMtime(DateTime mtime) {\r\n this.mtime = mtime;\r\n }",
"@Model\r\n\tprotected void setModificationTime() {\r\n modificationTime = ... | [
"0.78427875",
"0.7688834",
"0.7656017",
"0.76275337",
"0.7167296",
"0.701547",
"0.6970136",
"0.69548106",
"0.6942071",
"0.69231975",
"0.69212407",
"0.6876111",
"0.6866178",
"0.6860423",
"0.6860423",
"0.6860423",
"0.6860423",
"0.6860423",
"0.6860423",
"0.6860423",
"0.6860423",... | 0.7445348 | 4 |
Sets the text body. | public void setBody (String body) {
resetText(body);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setBodyText(String bodyText) {\n this.bodyText = bodyText;\n }",
"public void setBody_(String body_) {\n this.body_ = body_;\n }",
"public void setBody(String body)\n\t{\n\t\tm_sBody=body;\t\n\t}",
"public void setBody(String body) {\r\n this.body = body;\r\n }",
... | [
"0.8273643",
"0.7273032",
"0.7272095",
"0.7251217",
"0.7235103",
"0.7164813",
"0.7111492",
"0.70238847",
"0.69398516",
"0.6914262",
"0.6881615",
"0.684163",
"0.68262213",
"0.6819538",
"0.68127346",
"0.6702956",
"0.6685167",
"0.6640411",
"0.66096854",
"0.65866745",
"0.6516464"... | 0.7942036 | 1 |
Reset the Text from a String. | public void resetText (String textString) {
body=textString;
TextLine line = new TextLine();
Context context = new Context();
Text textobj = new Text();
line = genText(textString,textobj,line,context);
textobj.copyLine(line);
textobj.finalize();
MemoryTextWrapper textWrapper = new MemoryTextWrapper(textobj);
this.text = textWrapper;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public InputBox setText(String text) {\n\t\tthis.text = text;\n\t\tfontRenderer.reallocateText(text);\n\t\t\n\t\treturn this;\n\t}",
"public void setText(String t) {\n\t\t\ttext.set(t);\n\t\t}",
"private void resetText() {\n\t\tpass.setText(\"\");\n\t}",
"private void clearText() {\n \n text_ = getDefa... | [
"0.66553336",
"0.65278375",
"0.6522479",
"0.6505646",
"0.64921045",
"0.6428914",
"0.6371186",
"0.6364046",
"0.6350342",
"0.6263012",
"0.62604725",
"0.6226389",
"0.62180567",
"0.6213717",
"0.6210491",
"0.6204783",
"0.6204783",
"0.61992997",
"0.6196104",
"0.6193629",
"0.6191785... | 0.8324285 | 0 |
Gets the text as a String. | public String getTextAsString () {
String val = null;
if(text!=null) {
Text t = text.getText();
TextLine[] lines = t.getLines();
if(lines.length >0) {
int endline = lines.length - 1;
TextLine lastline = lines[endline];
if(lastline!= null) {
int endOffset = lastline.getLength();
TextRange tr = new TextRange(new TextLocation(0,0), new TextLocation(endline,endOffset));
val = t.getText(tr);
}
}
}
return val;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public java.lang.String getText() {\n \t\treturn text;\n \t}",
"public java.lang.String getText() {\n return text_;\n }",
"public String getText() {\n if (text == null) {\n return \"NO TEXT IN MEMORY.\";\n }\n return text.getTextPart();\n }",
"public final String getTex... | [
"0.8093728",
"0.8042384",
"0.7952757",
"0.7943578",
"0.79239",
"0.79123694",
"0.79065347",
"0.79033667",
"0.7894856",
"0.78749347",
"0.78701407",
"0.78701407",
"0.78701407",
"0.78699553",
"0.78699553",
"0.7832113",
"0.7832113",
"0.7832113",
"0.7819817",
"0.7810928",
"0.781092... | 0.8021996 | 2 |
True if italic style | public Object clone () {
try {
return super.clone();
} catch (CloneNotSupportedException e) {
throw new InternalError(e.toString());
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean isItalic() {\n\treturn (style & ITALIC) != 0;\n }",
"public boolean getItalic()\n {\n return font.isItalic();\n }",
"public boolean isItalic() throws PDFNetException {\n/* 594 */ return IsItalic(this.a);\n/* */ }",
"public boolean getItalic() {\r\n return... | [
"0.8289931",
"0.7986443",
"0.7973214",
"0.7927483",
"0.78892875",
"0.77802336",
"0.74896777",
"0.7478268",
"0.7093381",
"0.7077165",
"0.68354857",
"0.67879635",
"0.67832893",
"0.67581344",
"0.6667652",
"0.6567818",
"0.65573996",
"0.65489405",
"0.6401492",
"0.6384536",
"0.6196... | 0.0 | -1 |
Generates a string of text. | protected TextLine genText (String str, Text text, TextLine line, Context context) {
TextLine tLine = line;
String[] parts = str.split("\\n");
byte charset = TextParams.ROMAN;
byte size = TextParams.ILIAD_SCHOLIA_FONT_SIZE;
String part = parts[0];
part = part.replaceAll("\\s+", " ");
TextRun run = new TextRun(part, charset, size);
if (context.bold) run.setBold();
if (context.italic) run.setItalic();
tLine.appendRun(run);
if(parts.length > 1) {
text.copyLine(tLine);
for(int i =1;i<parts.length;i++) {
part = parts[i];
part = part.replaceAll("\\s+", " ");
tLine = new TextLine();
run = new TextRun(part, charset, size);
if (context.bold) run.setBold();
if (context.italic) run.setItalic();
tLine.appendRun(run);
if(i<parts.length -1) {
text.copyLine(tLine);
}
}
}
return tLine;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private String creatNewText() {\n\t\tRandom rnd = new Random();\n\t\treturn \"Some NEW teXt U9\" + Integer.toString(rnd.nextInt(999999));\n\t}",
"public abstract String generate(Object... args);",
"public String generateString() {\n List<Trip<String, String, String>> sequence = super.generateSequence(st... | [
"0.734342",
"0.6910644",
"0.6811731",
"0.67321724",
"0.6613825",
"0.64647275",
"0.63788915",
"0.6276808",
"0.6275961",
"0.62387514",
"0.61614203",
"0.6160049",
"0.6128071",
"0.6106345",
"0.6093538",
"0.6092203",
"0.6087966",
"0.6060064",
"0.6060064",
"0.5997197",
"0.5994596",... | 0.5671647 | 47 |
Sets the annotation category. | public void setCategory (AnnotationCategory category) {
this.category = category;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public AnnotationCategory getCategory () {\n\t\treturn category;\n\t}",
"public void setCategory(AttributeCategory category) {\n if (category == null) {\n throw new NullPointerException();\n }\n this.category = category;\n }",
"@Override\n public void setCategory(String category) {\n t... | [
"0.6798092",
"0.6391641",
"0.62833315",
"0.62792087",
"0.62219346",
"0.6188193",
"0.6135166",
"0.61322093",
"0.60037756",
"0.5993203",
"0.5960008",
"0.59559244",
"0.59549224",
"0.58934736",
"0.58533746",
"0.58533746",
"0.58533746",
"0.58533746",
"0.58474076",
"0.58106214",
"0... | 0.7982446 | 0 |
Sets the work part. | public void setWorkPart (WorkPart workPart) {
this.workPart = workPart;
this.annotates = workPart.getTag();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setPart(java.lang.String part)\n {\n synchronized (monitor())\n {\n check_orphaned();\n org.apache.xmlbeans.SimpleValue target = null;\n target = (org.apache.xmlbeans.SimpleValue)get_store().find_element_user(PART$2, 0);\n ... | [
"0.6739959",
"0.6685286",
"0.660982",
"0.6414583",
"0.6269844",
"0.6207552",
"0.6164031",
"0.6133376",
"0.59023446",
"0.58628875",
"0.5848301",
"0.58405244",
"0.5824886",
"0.5804947",
"0.5783047",
"0.5656514",
"0.56211144",
"0.56121784",
"0.5609335",
"0.560241",
"0.557735",
... | 0.74580806 | 0 |
Set the public flag. | public void setIsPublic( boolean isPublic )
{
this.isPublic = isPublic;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setPublic()\n {\n ensureLoaded();\n m_flags.setPublic();\n setModified(true);\n }",
"public void setPublicAccess(Boolean publicAccess) {\n this.publicAccess = publicAccess;\n }",
"public void setIsPublic(boolean isPublic)\n {\n this.isPublic = ... | [
"0.85220283",
"0.8105357",
"0.80138195",
"0.7788494",
"0.72227615",
"0.711936",
"0.6933275",
"0.6927777",
"0.68859386",
"0.68469685",
"0.6814006",
"0.67872876",
"0.67465",
"0.6715878",
"0.66597533",
"0.66551685",
"0.6579945",
"0.65193653",
"0.65053046",
"0.6467883",
"0.640381... | 0.7840478 | 3 |
Set the active flag. | public void setIsActive( boolean isActive )
{
this.isActive = isActive;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void active(boolean value) {\n\t\tactive = value;\n\t}",
"protected synchronized void setActive(final boolean b) {\n active = b;\n }",
"public void setActive() {\n\t\tactive = true;\n\t}",
"public void setActive(boolean active);",
"public void setActive(boolean active);",
"public void se... | [
"0.82658803",
"0.8258513",
"0.81567115",
"0.8089745",
"0.8089745",
"0.8089745",
"0.8079628",
"0.80782807",
"0.80511177",
"0.80396736",
"0.8023621",
"0.80210876",
"0.80034006",
"0.79921806",
"0.798577",
"0.7929925",
"0.78832114",
"0.7869722",
"0.7849121",
"0.78470975",
"0.7845... | 0.68830955 | 74 |
Set values from DOM document node. | public boolean setFromDOMDocumentNode( org.w3c.dom.Node wordSetNode )
{
// If word set node is null, quit.
return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setValuesFromXML_local(Document dom) {\n\n\t}",
"public static void documentToValue( Document document, Value value )\n\t{\n\t\tsetAttributes( value, document.getDocumentElement() );\n\t\telementsToSubValues(\n\t\t\tvalue,\n\t\t\tdocument.getDocumentElement().getChildNodes()\n\t\t);\n\t}",
"@Overri... | [
"0.70477515",
"0.6458556",
"0.63936794",
"0.62286496",
"0.62034506",
"0.616795",
"0.6126086",
"0.601443",
"0.6005679",
"0.59809095",
"0.59531146",
"0.5671602",
"0.56238693",
"0.56071913",
"0.5477634",
"0.54659176",
"0.54396915",
"0.5417967",
"0.54141605",
"0.5372662",
"0.5361... | 0.5681366 | 11 |
Add word set to DOM document. | public boolean addToDOMDocument
(
org.w3c.dom.Document document
)
{
boolean result = false;
return result;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void fillSet() {\r\n\t\tString regex = \"\\\\p{L}+\";\r\n\t\tMatcher matcher = Pattern.compile(regex).matcher(body);\r\n\t\twhile (matcher.find()) {\r\n\t\t\tif (!matcher.group().isEmpty()) {\r\n\t\t\t\twords.add(matcher.group());\r\n\t\t\t}\r\n\t\t}\r\n\t}",
"void addWordsToDoc(int doc,List<VocabWord> w... | [
"0.610965",
"0.6074614",
"0.59296256",
"0.59035075",
"0.5861478",
"0.58432114",
"0.5836497",
"0.58355904",
"0.5833298",
"0.58179045",
"0.58140755",
"0.578215",
"0.57648516",
"0.5734368",
"0.57308835",
"0.5720895",
"0.56077373",
"0.55994064",
"0.5596804",
"0.5587058",
"0.55092... | 0.0 | -1 |
Gets a string representation of the word set. | public String toString()
{
return title;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String toString() {\n if (size == 0) {\n return \"{}\";\n }\n String str = \"{\";\n for (int i = 0; i < size - 1; i++) {\n str = str + set[i] + \", \";\n } str = str + set[size - 1] + \"}\";\n return str;\n }",
"public String toString() {\... | [
"0.7118288",
"0.6899277",
"0.6877511",
"0.6828678",
"0.67659616",
"0.6763281",
"0.6742713",
"0.66445017",
"0.6639193",
"0.65287113",
"0.6518794",
"0.64471716",
"0.64359164",
"0.6395197",
"0.63845974",
"0.63328916",
"0.63207734",
"0.63020974",
"0.62852156",
"0.6158517",
"0.614... | 0.0 | -1 |
Returns true if some other object is equal to this one. The two objects are equal if their ids are equal. | public boolean equals( Object obj )
{
if ( ( obj == null ) || !( obj instanceof AuthoredTextAnnotation ) ) return false;
AuthoredTextAnnotation other = (AuthoredTextAnnotation)obj;
return id.equals( other.getId() );
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean equals(Object otherObject) {\n if (!(otherObject instanceof ID)) {\n return false;\n }\n return (this.UID.equals(otherObject.toString()));\n }",
"public boolean equals( Object other){\n \tif( other instanceof Person){\n \t\treturn personId == ((Person)other... | [
"0.76143086",
"0.7452096",
"0.7446728",
"0.72181",
"0.7213331",
"0.71304667",
"0.7083422",
"0.7051343",
"0.70289814",
"0.7015659",
"0.7014023",
"0.7013621",
"0.7006212",
"0.70005417",
"0.6988349",
"0.69854945",
"0.6985296",
"0.6976759",
"0.6967118",
"0.69642156",
"0.69288605"... | 0.0 | -1 |
Returns a hash code for the object. | public int hashCode()
{
return id.hashCode();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int hashcode();",
"public String getHashCode();",
"public int hashCode() {\n\t\treturn hash(objects); //return the hash code of the objects\n\t}",
"final int hash(E object)\n {\n // Spread bits to regularize both segment and index locations,\n // using variant of single-word Wang/Jenkins h... | [
"0.79413044",
"0.76237893",
"0.7557217",
"0.75335544",
"0.74712676",
"0.745404",
"0.7421876",
"0.7377069",
"0.73469484",
"0.73353344",
"0.73353344",
"0.73353344",
"0.73353344",
"0.7331826",
"0.7327737",
"0.7309166",
"0.7306997",
"0.7285496",
"0.72830015",
"0.72729987",
"0.727... | 0.0 | -1 |
Writes the annotation to an object output stream (serializes the object). | public void writeExternal( ObjectOutput out )
throws IOException
{
out.writeObject( id );
out.writeObject( title );
out.writeObject( description );
out.writeObject( webPageURL );
out.writeObject( creationTime );
out.writeObject( modificationTime );
out.writeObject( owner );
out.writeBoolean( isPublic );
out.writeBoolean( isActive );
out.writeObject(category);
out.writeObject(body);
out.writeObject(target);
out.writeObject(author);
out.writeObject(annotates);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void writeObject(OutputSerializer out) throws java.io.IOException;",
"public void writeObject(OutputStream stream, Object object, int format) throws IOException;",
"private void writeObject(final ObjectOutputStream out) throws IOException {\n try {\n if (location == null) location = IOHelper.serializeD... | [
"0.70746607",
"0.65073395",
"0.6443535",
"0.6433569",
"0.6428349",
"0.6313881",
"0.62534106",
"0.62473387",
"0.62454885",
"0.6217713",
"0.62007105",
"0.6184222",
"0.61823034",
"0.6114441",
"0.60889256",
"0.60843414",
"0.608254",
"0.5992135",
"0.59774554",
"0.5966944",
"0.5961... | 0.5689458 | 32 |
Reads the annotation from an object input stream (deserializes the object). | public void readExternal( ObjectInput in )
throws IOException, ClassNotFoundException
{
id = (Long)in.readObject();
title = (String)in.readObject();
description = (String)in.readObject();
webPageURL = (String)in.readObject();
creationTime = (Date)in.readObject();
modificationTime = (Date)in.readObject();
owner = (String)in.readObject();
isPublic = in.readBoolean();
isActive = in.readBoolean();
isActive = true;
category = (AnnotationCategory)in.readObject();
body = (String)in.readObject();
resetText(body);
target = (TextRange)in.readObject();
author = (String)in.readObject();
annotates = (String)in.readObject();
workPart = WorkUtils.getWorkPartByTag(annotates);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void readObject(InputSerializer in) throws java.io.IOException;",
"private void readObject(final ObjectInputStream stream) throws IOException, ClassNotFoundException {\n stream.defaultReadObject();\n answerMarks_.clear();\n }",
"private void readObject(ObjectInputStream in) throws IOException,... | [
"0.681835",
"0.6768265",
"0.6645285",
"0.6557482",
"0.6550703",
"0.6522833",
"0.65128523",
"0.63723403",
"0.6293689",
"0.6276195",
"0.62759775",
"0.6265466",
"0.6261393",
"0.625802",
"0.6216201",
"0.6175575",
"0.6175575",
"0.6175575",
"0.61699295",
"0.6134376",
"0.60996187",
... | 0.6295332 | 8 |
Add read permission for userGroup | public void addReadPermission(UserGroup userGroup)
{
UserGroupPermissionUtils.addReadPermission(this,userGroup);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"int getPermissionRead();",
"public int getUserModificationPermission() {\n return permission;\n }",
"int getPermissionWrite();",
"@Override\n public boolean hasAccessPermission(String user, NamespaceKey key, DatasetConfig datasetConfig) {\n return userPredicate.test(user);\n }",
"@Override\n... | [
"0.63777053",
"0.60387075",
"0.59436333",
"0.58106273",
"0.5779556",
"0.56809884",
"0.56704193",
"0.56246376",
"0.5602949",
"0.5511392",
"0.5507972",
"0.54923064",
"0.54641646",
"0.5453943",
"0.54285425",
"0.54022",
"0.539397",
"0.5381605",
"0.53681564",
"0.5364172",
"0.53398... | 0.8048547 | 0 |
this is only called by a test right now, but ImmutableList.copyOf won't tolerate null elements | public Object[] getArguments() {
if (args.length == 0) {
return args;
}
Object[] copy = new Object[args.length];
System.arraycopy(args, 0, copy, 0, args.length);
return copy;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void assertImmutableList() {\n\t\tassertImmutableList(wc);\n\t}",
"private Object[] deepCopy()\n {\n Object[] newList = new Object[size];\n\n int newListPosition = 0;\n for (int i =0; i < size; i++)\n {\n if (list[i] != null)\n {\n newLi... | [
"0.6664571",
"0.61960804",
"0.61637026",
"0.59997845",
"0.5970626",
"0.5896328",
"0.5810334",
"0.5749002",
"0.56958884",
"0.5674229",
"0.5660354",
"0.5659473",
"0.560452",
"0.55664355",
"0.5563732",
"0.5543976",
"0.5529697",
"0.55120283",
"0.55015594",
"0.54924625",
"0.547166... | 0.0 | -1 |
TODO: this should be a readonly view? | public Map<String, Object> getAnnotations() {
return ImmutableMap.copyOf(annotations);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic void view() {\n\t\t\n\t}",
"protected ReliedOnView() {}",
"private View() {}",
"public abstract View mo2155b();",
"public void setReadWriteOnMyLatestView()\n {\n \t m_acl = \tm_acl | (1<<2);\n }",
"StableView view();",
"public interface View {\n\t\n\tpublic DifferenceOperators... | [
"0.63198626",
"0.6210617",
"0.6203891",
"0.5928756",
"0.590406",
"0.58498895",
"0.58186275",
"0.579148",
"0.57777506",
"0.5755384",
"0.5735023",
"0.57278794",
"0.5705391",
"0.5705391",
"0.5705391",
"0.5700697",
"0.5697281",
"0.56904525",
"0.5639241",
"0.5617448",
"0.5604647",... | 0.0 | -1 |
This is a helper method that makes sure that the script waits until the clicked element's text matches the h3 tag text | private void helperMethod(WebElement element, WebElement categoryIndicator) {
try {
wait.until(ExpectedConditions.textToBePresentInElement(element, categoryIndicator.getText()));
} catch (Exception e) {
e.printStackTrace();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test \n\t@Description(\"Wait for Loader to finish TC\")\n\tpublic void waitText() {\n\t\therokuappNavigate();\n\t\therokuapp hero = new herokuapp(driver);\n\t\thero.dynamicloadclick();\n\t\thero.example2click();\n\t\thero.start();\n\t\t//hero.waitToFinish();\n\t\tWebDriverWait wait = new WebDriverWait(driver, 40)... | [
"0.60177916",
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"0.5247762",
"0.5241619",
"0.52191347",
"0.5214405",
"0.5213721",
"0.519758... | 0.58177155 | 1 |
Returns a JavaSpace service with a given name. | public static JavaSpace05 getSpace(String spaceName) {
return getSpace(spaceName, SorcerEnv.getSpaceGroup());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Service getServiceForName(String name) throws SessionQueryException\n {\n Service returnedService = null;\n\n try\n {\n ComponentStruct component = getSessionManagementAdminService().getComponent(name);\n returnedService = new Service(name, component.isRunning, ... | [
"0.6864391",
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"0.57752657",
"0.5773419",
"0.57594645",
"0.5741868",
"0.5723943",
"0.57230824",... | 0.5774308 | 16 |
Returns a JavaSpace service with a given name and group. | public static JavaSpace05 getSpace(String spaceName, String spaceGroup) {
return instance.doGetSpace(spaceName, spaceGroup);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public JavaSpace05 doGetSpace(String spaceName, String spaceGroup) {\n JavaSpace05 javaSpace = (JavaSpace05) cache.get(JavaSpace05.class.getName());\n if (javaSpace != null) {\n try {\n javaSpace.readIfExists(new Name(\"_SORCER_\"), null,\n JavaSp... | [
"0.6571192",
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"0.5284229",
"0.5270031",
"0.524638",
"0.524638",
"0.524638",
"0.5... | 0.6582485 | 0 |
first test if our cached JavaSpace is alive and if it's the case then return it, otherwise get a new JavSpace proxy | public JavaSpace05 doGetSpace(String spaceName, String spaceGroup) {
JavaSpace05 javaSpace = (JavaSpace05) cache.get(JavaSpace05.class.getName());
if (javaSpace != null) {
try {
javaSpace.readIfExists(new Name("_SORCER_"), null,
JavaSpace.NO_WAIT);
return javaSpace;
} catch (Exception e) {
//log.error("error", e.getMessage());
cache.remove(JavaSpace05.class.getName());
}
}
Entry[] attrs = null;
if (spaceName != null) {
attrs = new Entry[] { new Name(spaceName) };
}
String sg = spaceGroup;
if (spaceGroup == null) {
sg = SorcerEnv.getSpaceGroup();
}
javaSpace = (JavaSpace05) Accessor.getService(null,
new Class[]{JavaSpace05.class}, attrs,
new String[]{sg});
try {
javaSpace.readIfExists(new Name("_SORCER_"), null,
JavaSpace.NO_WAIT);
cache.put(JavaSpace05.class.getName(), javaSpace);
log.info("JavaSpace is back!");
return javaSpace;
} catch (Exception e) {
log.error("Problem connecting to JavaSpace");
cache.remove(JavaSpace05.class.getName());
return null;
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private HttpProxyCacheServer getProxy() {\n\n return proxy == null ? (proxy = newProxy()) : proxy;\n }",
"Proxy getProxy();",
"private NodeMgrService.Proxy getProxy(int node) { \n Object obj = ServiceManager.proxyFor(node);\n if (! (obj instanceof NodeMgrService.Proxy)) {\n i... | [
"0.66062677",
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"0.56836313",
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"0.50722533",
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"0.50579274",
"0.50041115",
"0.49999747",
"0.4993505",
"0.49773985",
"0.4974239... | 0.56439835 | 3 |
Returns a Jini JavaSpace service. | public static JavaSpace05 getSpace() {
return instance.doGetSpace();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"ServicesPackage getServicesPackage();",
"go.micro.runtime.RuntimeOuterClass.Service getService();",
"go.micro.runtime.RuntimeOuterClass.Service getService();",
"go.micro.runtime.RuntimeOuterClass.Service getService();",
"String getServiceName();",
"String getServiceName();",
"public String getServiceNa... | [
"0.6220799",
"0.5925747",
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"0.58514816",
"0.58514816",
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"0.5581923",
"0.55277723",
"0.552211",
"0.547022",
"0.545343",
... | 0.5208091 | 39 |
Initializes a new instance of the ConditionConnective class with the specified type. | public ConditionConnective(ConditionConnectiveType type) {
conditions = new LinkedList<Condition>();
this.type = type;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ConditionConnectiveType getType() {\n\t\treturn type;\n\t}",
"public SimpleCondition() {\n\n\t}",
"public Condition(ConditionManager condition)\r\n\t{\r\n\t\tthis.condition = condition;\r\n\t\tinit();\r\n\t}",
"public ClassOperator(Class type) {\n this(new StaticArgument(simplify(type.getName()... | [
"0.6778281",
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"0.58138776",
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"0.516775",
"0.51633346",
"0.5146737",
"0.51358867",
"0.5094531",
"0.5056289",
"0.500... | 0.81583846 | 0 |
Creates and returns a deep copy of the connective. | @Override
public ConditionConnective clone() {
final ConditionConnective clone = new ConditionConnective(type);
for (final Condition c : conditions) {
clone.conditions.add(c.clone());
}
return clone;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Complex makeDeepCopy() {\r\n Complex complex2 = new Complex(this.getReal(), this.getImaginary());\r\n return complex2;\r\n }",
"@Override\r\n public weighted_graph copy() {\n weighted_graph copy = new WGraph_DS();\r\n for (node_info curr : this.Graph.getV()) { ... | [
"0.66491425",
"0.64675415",
"0.6400842",
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"0.59294397",
"0.59294397",
"0.5886943",
"0.5876558",
"0.58638... | 0.64288634 | 2 |
Gets the connected conditions. | public List<Condition> getConditions() {
return conditions;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Condition [] getConditions() {\n return this.Conditions;\n }",
"public List<ICondition> getConditions()\r\n\t{\r\n\t\treturn conditions;\r\n\t}",
"public Conditions getConditions() {\n // Lazy initialization with double-check.\n Conditions c = this.conditions;\n if (c == n... | [
"0.7007598",
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"0.68701625",
"0.6791428",
"0.6681174",
"0.6597397",
"0.6526084",
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"0.59251547",
"0.5866057",
"0.57994056",
"0.5733805",
"0.57170016",
"0.569... | 0.6911478 | 1 |
Gets the type of the connective. | public ConditionConnectiveType getType() {
return type;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Nullable ConnectionPointType getType();",
"public final int getConnectionType()\n\t{\n\t\treturn connType;\n\t}",
"public int getType() {\n validify();\n return Client.INSTANCE.pieceGetType(ptr);\n }",
"public String getType() {\n\t\t\n\t\tif(this instanceof Friend_Connection) {\n\t\t\tretu... | [
"0.7030181",
"0.6888207",
"0.6872952",
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"0.68005747",
"0.68005747",
"0.68005747",
"0.68005747",
"0.68005747",
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"0.68005747",
"0.68005747",
"0.68005747",
"0.6772687",
"0.6759134",
"0.6754277",
"0... | 0.7454995 | 0 |
Deploys the coreJar and the project file to the remote device | public synchronized Promise<DeployedInstanceManager, Throwable, Double> deploy() {
final DeployedInstanceManager self = this;
JSch.setConfig("StrictHostKeyChecking", "no");
final DeferredManager deferred = new DefaultDeferredManager();
return deferred.when(new DeferredCallable<DeployedInstanceManager, Double>() {
@Override
public DeployedInstanceManager call() throws IOException {
notify(0.2);
scpFileToTarget(coreJar);
notify(0.5);
scpFileToTarget(projectFile);
notify(1.0);
return self;
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void execute()\n throws MojoExecutionException\n {\n this.checkOperatingSystem();\n\n final File folderApp =\n new File( this.data.getTargetDirectory(), this.data.getAppName() + \"-\" + this.data.getAppVersion() + \".app\" );\n final File folderContents = new File( ... | [
"0.58741623",
"0.5857434",
"0.56515354",
"0.56358576",
"0.55266124",
"0.54508996",
"0.5430898",
"0.53973967",
"0.5351815",
"0.52839595",
"0.52675164",
"0.5255157",
"0.5151132",
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"0.5053034",
"0.5050026",
"0.5033171",
"0.50302523",
"0.50228024",
"0.5013481",
"0.500... | 0.5052122 | 15 |
Starts GRIP running on the device specified by the secure shell details | public synchronized void start() throws IOException {
if (isStarted()) {
throw new IllegalStateException("The program has already been started and must be stopped before restarting");
}
// Ensure that the project isn't running from a previous instance.
runStop();
Thread launcher = new Thread(() -> {
try {
final Shell gripShell = new Shell.Safe(details.createSSHShell());
gripShell.exec("nohup " + deploymentCommands.getJARLaunchCommand(coreJar.getName(), projectFile.getName()) + " &",
new NullInputStream(0L),
stdOut.get(),
stdErr.get());
} catch (IOException e) {
throw new IllegalStateException("The program failed to start", e);
} finally {
// This thread is done, shut it down.
synchronized (this) {
sshThread = Optional.empty();
}
eventBus.post(new StartedStoppedEvent(this));
}
}, "SSH Monitor Thread");
launcher.setUncaughtExceptionHandler((thread, exception) -> {
eventBus.post(new UnexpectedThrowableEvent(exception, "Failed to start the remote instance of the application"));
try {
runStop();
} catch (IOException e) {
eventBus.post(new UnexpectedThrowableEvent(e, "Failed to stop the remote instance of the program"));
}
});
launcher.setDaemon(true);
launcher.start();
this.sshThread = Optional.of(launcher);
eventBus.post(new StartedStoppedEvent(this));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void startTracking()\n\t{\t\n\t\tProcessBuilder starterProcess = new ProcessBuilder(\"ssh\", \n\t\t\t\t\t\t\t\t\t\t\"pi@\" + RASPBERRY_PI_LOCATION,\n\t\t\t\t\t\t\t\t\t\t\"\\\"sudo /home/pi/code/stop_vision.sh && /home/pi/code/start_vision.sh \" + \n\t\t\t\t\t\t\t\t\t\tFPS + \" \" + \n\t\t\t\t\t\t\t\t\t\tIMA... | [
"0.62323946",
"0.5722656",
"0.5544207",
"0.53131115",
"0.5265879",
"0.5221377",
"0.52021956",
"0.5170055",
"0.515983",
"0.51483065",
"0.514805",
"0.5137658",
"0.51330805",
"0.5128145",
"0.5061863",
"0.50538576",
"0.50538576",
"0.50538576",
"0.5012276",
"0.49807602",
"0.497835... | 0.47720522 | 58 |
Stops the program running on the remote device | public synchronized void stop() throws IOException {
if (!isStarted()) {
throw new IllegalStateException("The program hasn't started yet.");
}
runStop();
do {
try {
// Since we hold the mutex on this we can wait
wait(50);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
logger.log(Level.WARNING, "Wait interrupted", e);
}
runStop();
} while (isStarted() && !Thread.interrupted());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void stop() {\n\t\texec.stop();\n\t}",
"@GET\n @Path(\"/stop\")\n @Produces(MediaType.TEXT_PLAIN)\n public String stop() {\n Device device = getDevice();\n try {\n transportService.stop(device.getId());\n } catch (UnknownDeviceException e) {\n re... | [
"0.71078086",
"0.68548524",
"0.6755268",
"0.67487466",
"0.66979134",
"0.66979134",
"0.66979134",
"0.66979134",
"0.66979134",
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"0.66979134",
"0.66979134",
"0.66979134",
"0.66979134",
"0.6676721",
... | 0.0 | -1 |
Makes an SSH connection to the remote and runs the kill command. Should block until the command has executed. | private void runStop() throws IOException {
final Shell.Plain gripShell = new Shell.Plain(new Shell.Safe(details.createSSHShell()));
gripShell.exec(deploymentCommands.getKillCommand(coreJar.getName()));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected void kill() {\n disconnect = true;\n }",
"protected abstract void doKill();",
"@Override\r\n public void executeCommand() {\r\n shell.stopRunning();\r\n }",
"public void disconnectSSH(){\n\t log.info(\"Trying to disconnect to device \"+deviceIP+\" ...\\n\");\n\t session.disconnec... | [
"0.5775085",
"0.56756616",
"0.5639907",
"0.5630653",
"0.56268036",
"0.5610159",
"0.5610159",
"0.55913675",
"0.557923",
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"0.5137731",
"0.513507",
"0.5063746",
"0.50577635",
"0.5034059",
"0.5032567"... | 0.50340784 | 19 |
JMX MBean interface for ETL task. This interface specifies attributes and operations available via JMX. The ETL mbeans have the following naming convention: scriptella:type=etl,url=<ETL_XML_FILE_URL>[,n=<COLLISION_ID>] The collision ID is appended only if the same file is executed simultaneously. | public interface JmxEtlManagerMBean {
/**
* Returns the number of executed statements by all connections of the ETL task.
* @return non-negative number of executed statements.
*/
long getExecutedStatementsCount();
/**
* Returns the date/time when ETL was started.
* @return date/time.
*/
Date getStartDate();
/**
* Returns the throughput of the managed ETL task.
* @return statements/sec throughput or 0 if undefined.
*/
double getThroughput();
/**
* Cancels the managed ETL task.
*/
void cancel();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public interface TestMBean {\n\n /**\n * Returns the value of a string attribute.\n * \n * @return String\n */\n public String getStringAttribute();\n\n /**\n * Returns the value of a double attribute.\n * \n * @return Double\n */\n public Double getDoubleAttribute();\n\... | [
"0.5405782",
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"0.5219036",
"0.5164778",
"0.5093429",
"0.49712297",
"0.49429256",
"0.4782894",
"0.46725336",
"0.46629155",
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"0.45068118",
"0.44450605",
"0.4440109",
"0.44283798",
"0.44126716",
"0.440... | 0.6765925 | 0 |
Returns the number of executed statements by all connections of the ETL task. | long getExecutedStatementsCount(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public long getAllStatementCount();",
"int getTotalCreatedConnections();",
"int getConnectionsCount();",
"public int getStatementCount() {\n return this.statementCount;\n }",
"int getExecutorActiveCount();",
"int getConnectionCount();",
"long getExecutorTaskCount();",
"public int connection... | [
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"0.6866065",
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"0.6730715",
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"0.66003436",
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"0.6451707",
"0.6424958",
"0.64187425",
"0.6401828",
"0.63775986",
"0.63566536",
"0.63... | 0.7960448 | 0 |
Returns the date/time when ETL was started. | Date getStartDate(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Date getStartTime() {\n\t\treturn getOriginatingTime();\n\t}",
"public long getStartTime();",
"public long getStartTime();",
"Date getStartedOn();",
"long getStartTime();",
"public long getStartTime () {\n if (isPerformance) {\n return System.currentTimeMillis();\n }\n else\n {\n ... | [
"0.7287523",
"0.7214511",
"0.7214511",
"0.72072625",
"0.7191693",
"0.7139352",
"0.7137566",
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"0.7035355",
"0.6942779",
"0.6924029",
"0.6920852",
"0.69156164",
"0.69154435",
"0.69139606",
"0.69139... | 0.0 | -1 |
Returns the throughput of the managed ETL task. | double getThroughput(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected long getThroughput() {\n\t\treturn producerThreadPool.getThroughput();\n\t}",
"public Long getThroughput() {\n return this.throughput;\n }",
"public Integer getThroughput() {\n return this.throughput;\n }",
"public double getThroughput () {\n\t\treturn throughputRequired;\n\t}",... | [
"0.6685814",
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"0.5629111",
"0.55903244",
"0.5585272",
"0.55783516",
"0.556419... | 0.65548205 | 3 |
Cancels the managed ETL task. | void cancel(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void cancelTask(){\n\t\tif(main.teleporting.containsKey(teleporter.getName())){\n\t\t\tmain.teleporting.remove(teleporter.getName());\n\t\t}\n\t\tthis.cancel();\n\t}",
"public void cancelTask(String id);",
"public static void cancelTask() {\n try {\n if (Utils.isNotNull(tt)) {\n ... | [
"0.7039367",
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"0.67663336",
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"0.64938176",
"0.6491162",
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"0.64234453",
"0.64234453",
"0.64234453",
"0.64234453",
"0.64234453",
"0.64179... | 0.62207735 | 47 |
Creates new form studentPortal2 | public studentPortal2() {
initComponents();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@GetMapping(\"/students/new\")\r\n\tpublic String createStudentForm(Model model) {\n\t\tStudent student =new Student();\r\n\t\tmodel.addAttribute(\"student\",student);\r\n\t\treturn \"create_student\";\r\n\t}",
"@GetMapping(\"/students/new\")\n\tpublic String createStudentForm(Model model) throws ParseException\... | [
"0.6895535",
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"0.57029253",
"0.5681783",
"0.5656474",
"0.5629626",
"0.5628714",
"0.5613... | 0.6409628 | 2 |
This method is called from within the constructor to initialize the form. WARNING: Do NOT modify this code. The content of this method is always regenerated by the Form Editor. | @SuppressWarnings("unchecked")
// <editor-fold defaultstate="collapsed" desc="Generated Code">//GEN-BEGIN:initComponents
private void initComponents() {
jPanel1 = new javax.swing.JPanel();
jPanel2 = new javax.swing.JPanel();
label1 = new java.awt.Label();
jLabel2 = new javax.swing.JLabel();
jTextField1 = new javax.swing.JTextField();
jLabel3 = new javax.swing.JLabel();
jTextField2 = new javax.swing.JTextField();
jLabel4 = new javax.swing.JLabel();
jTextField3 = new javax.swing.JTextField();
jButton1 = new javax.swing.JButton();
jButton2 = new javax.swing.JButton();
jPanel3 = new javax.swing.JPanel();
jScrollPane1 = new javax.swing.JScrollPane();
jTable1 = new javax.swing.JTable();
jButton3 = new javax.swing.JButton();
jButton4 = new javax.swing.JButton();
jLabel5 = new javax.swing.JLabel();
MainLayer = new javax.swing.JLabel();
jPanel1.setLayout(null);
jPanel2.setBorder(javax.swing.BorderFactory.createBevelBorder(javax.swing.border.BevelBorder.RAISED));
label1.setText("Search Criteria");
jLabel2.setText("Title: ");
jTextField1.setText("jTextField1");
jLabel3.setText("Author: ");
jTextField2.setText("jTextField2");
jLabel4.setText("ISBN: ");
jTextField3.setText("jTextField3");
jButton1.setText("Search");
jButton1.addActionListener(new java.awt.event.ActionListener() {
public void actionPerformed(java.awt.event.ActionEvent evt) {
jButton1ActionPerformed(evt);
}
});
jButton2.setText("Clear");
javax.swing.GroupLayout jPanel2Layout = new javax.swing.GroupLayout(jPanel2);
jPanel2.setLayout(jPanel2Layout);
jPanel2Layout.setHorizontalGroup(
jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)
.addGroup(jPanel2Layout.createSequentialGroup()
.addContainerGap()
.addGroup(jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)
.addComponent(label1, javax.swing.GroupLayout.PREFERRED_SIZE, 109, javax.swing.GroupLayout.PREFERRED_SIZE)
.addGroup(jPanel2Layout.createSequentialGroup()
.addComponent(jLabel3)
.addGap(18, 18, 18)
.addComponent(jTextField2, javax.swing.GroupLayout.PREFERRED_SIZE, 249, javax.swing.GroupLayout.PREFERRED_SIZE))
.addGroup(jPanel2Layout.createSequentialGroup()
.addComponent(jLabel2)
.addGap(31, 31, 31)
.addComponent(jTextField1, javax.swing.GroupLayout.PREFERRED_SIZE, 252, javax.swing.GroupLayout.PREFERRED_SIZE))
.addGroup(jPanel2Layout.createSequentialGroup()
.addComponent(jLabel4)
.addGap(28, 28, 28)
.addGroup(jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)
.addGroup(jPanel2Layout.createSequentialGroup()
.addComponent(jButton1, javax.swing.GroupLayout.PREFERRED_SIZE, 73, javax.swing.GroupLayout.PREFERRED_SIZE)
.addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED)
.addComponent(jButton2, javax.swing.GroupLayout.PREFERRED_SIZE, 73, javax.swing.GroupLayout.PREFERRED_SIZE))
.addComponent(jTextField3, javax.swing.GroupLayout.PREFERRED_SIZE, 249, javax.swing.GroupLayout.PREFERRED_SIZE))))
.addContainerGap(36, Short.MAX_VALUE))
);
jPanel2Layout.setVerticalGroup(
jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)
.addGroup(jPanel2Layout.createSequentialGroup()
.addContainerGap()
.addComponent(label1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE)
.addGap(32, 32, 32)
.addGroup(jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)
.addComponent(jLabel2)
.addComponent(jTextField1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))
.addGap(18, 18, 18)
.addGroup(jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)
.addComponent(jLabel3)
.addComponent(jTextField2, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))
.addGap(18, 18, 18)
.addGroup(jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)
.addComponent(jLabel4)
.addComponent(jTextField3, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))
.addGap(40, 40, 40)
.addGroup(jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)
.addComponent(jButton1)
.addComponent(jButton2))
.addContainerGap(445, Short.MAX_VALUE))
);
jPanel1.add(jPanel2);
jPanel2.setBounds(10, 60, 360, 670);
jPanel3.setBorder(javax.swing.BorderFactory.createBevelBorder(javax.swing.border.BevelBorder.RAISED));
jTable1.setBorder(javax.swing.BorderFactory.createBevelBorder(javax.swing.border.BevelBorder.RAISED));
jTable1.setModel(new javax.swing.table.DefaultTableModel(
new Object [][] {
{null, null, null, null},
{null, null, null, null},
{null, null, null, null},
{null, null, null, null}
},
new String [] {
"Title: ", "Author:", "ISBN", "Avalibility "
}
));
jScrollPane1.setViewportView(jTable1);
jButton3.setText("Reserve Book");
jButton3.addActionListener(new java.awt.event.ActionListener() {
public void actionPerformed(java.awt.event.ActionEvent evt) {
jButton3ActionPerformed(evt);
}
});
javax.swing.GroupLayout jPanel3Layout = new javax.swing.GroupLayout(jPanel3);
jPanel3.setLayout(jPanel3Layout);
jPanel3Layout.setHorizontalGroup(
jPanel3Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)
.addComponent(jScrollPane1, javax.swing.GroupLayout.DEFAULT_SIZE, 746, Short.MAX_VALUE)
.addGroup(jPanel3Layout.createSequentialGroup()
.addComponent(jButton3)
.addGap(0, 0, Short.MAX_VALUE))
);
jPanel3Layout.setVerticalGroup(
jPanel3Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)
.addGroup(jPanel3Layout.createSequentialGroup()
.addComponent(jScrollPane1, javax.swing.GroupLayout.PREFERRED_SIZE, 543, javax.swing.GroupLayout.PREFERRED_SIZE)
.addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED)
.addComponent(jButton3)
.addGap(0, 89, Short.MAX_VALUE))
);
jPanel1.add(jPanel3);
jPanel3.setBounds(380, 60, 750, 670);
jButton4.setText("Logout");
jButton4.addActionListener(new java.awt.event.ActionListener() {
public void actionPerformed(java.awt.event.ActionEvent evt) {
jButton4ActionPerformed(evt);
}
});
jPanel1.add(jButton4);
jButton4.setBounds(1050, 30, 73, 23);
jLabel5.setFont(new java.awt.Font("Tekton Pro Cond", 1, 24)); // NOI18N
jLabel5.setForeground(new java.awt.Color(255, 255, 255));
jLabel5.setText("Student Portal");
jPanel1.add(jLabel5);
jLabel5.setBounds(10, 10, 160, 40);
MainLayer.setIcon(new javax.swing.ImageIcon(getClass().getResource("/View/images/screen.jpg"))); // NOI18N
jPanel1.add(MainLayer);
MainLayer.setBounds(0, 0, 1160, 750);
javax.swing.GroupLayout layout = new javax.swing.GroupLayout(this);
this.setLayout(layout);
layout.setHorizontalGroup(
layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)
.addComponent(jPanel1, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)
);
layout.setVerticalGroup(
layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)
.addComponent(jPanel1, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)
);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Form() {\n initComponents();\n }",
"public MainForm() {\n initComponents();\n }",
"public MainForm() {\n initComponents();\n }",
"public MainForm() {\n initComponents();\n }",
"public frmRectangulo() {\n initComponents();\n }",
"public form() {\n ... | [
"0.7320782",
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"0.72918797",
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"0.72498447",
"0.7214492",
"0.720934",
"0.7197145",
"0.71912014",
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"0.7058153",
"0.69883204",
"0.6978216",
"0.69558746",
"0.6955715",
"0.6945... | 0.0 | -1 |
Check file if need (for import batch job) | private boolean checkFile(String batchName) {
String message = "";
boolean found=true;
if (batchName.equals(Constant.POS_EMPLOYEE)) {
found= ut.isExistFile( Constant.POS_EMPLOYEE_FILE ,Constant.IMPORT_PATH);
message = lang.getString("MS100_RunAfterSimEm");
}
else if (batchName.equals(Constant.POS_EXCHANGE_RATE)) {
found= ut.isExistFile(Constant.POS_EXCHANGE_RATE_FILE,Constant.IMPORT_PATH);
message = lang.getString("MS101_RunAfterSimExchangeRatem");
}
else if (batchName.equals(Constant.POS_ITEM_PRICE)) {
found= ut.isExistFile(Constant.POS_ITEM_PRICE_FILE,Constant.IMPORT_PATH);
message = lang.getString("MS102_RunAfterSimItemPrice");
}
if (!found) {
ut.showMessage(frmMain, lang.getString("TT001"), message +" "+ lang.getString("MS103_RunFTP"));
}
return found;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void checkFile() {\n \ttry {\n \t\tdata = new BufferedReader(\n \t\t\t\t new FileReader(textFile));\n \t\t\n \t}\n \tcatch(FileNotFoundException e)\n \t{\n \t\tSystem.out.println(\"The mentioned File is not found.\");\n System.out.println(\"\");\n\t\t\tSystem.exit(1... | [
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"0.61873865",
"0.6173036",
"0.60802794",
"0.60741246",
"0.60... | 0.71037185 | 0 |
convert "dd/MM/yyyy" > "yyyyMMdd" | private String convertDate(String date){
String arrDate[] = date.split("/");
date = arrDate[2] + "-" + arrDate[1] + "-" + arrDate[0];
return date;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static String convertToDDMMYYYY(Date date) {\n\t\tString returnStr = \"\";\n\t\ttry {\n\t\tDateFormat format1 = new SimpleDateFormat(\"dd/MM/yyyy\");\n\t\treturnStr = format1.format(date);\n\t\t\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn returnStr;\n\t}",
"private String ... | [
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"0.5682465... | 0.677729 | 1 |
convert "dd/MM/yyyy" > "yyyyMMdd" | private String convertDateVN(String date) {
String arrDate[] = date.split("-");
date = arrDate[2] + "/" + arrDate[1] + "/" + arrDate[0];
return date;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static String convertToDDMMYYYY(Date date) {\n\t\tString returnStr = \"\";\n\t\ttry {\n\t\tDateFormat format1 = new SimpleDateFormat(\"dd/MM/yyyy\");\n\t\treturnStr = format1.format(date);\n\t\t\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn returnStr;\n\t}",
"private String ... | [
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"0.56824654"... | 0.62197804 | 4 |
/ set up the maps: | private void registerKeyboardActions() {
InputMap inputMap = getInputMap(WHEN_IN_FOCUSED_WINDOW);
ActionMap actionMap = getActionMap();
// F1
Integer key = new Integer(KeyEvent.VK_F1);
inputMap.put(KeyStroke.getKeyStroke(KeyEvent.VK_F1, 0), key);
actionMap.put(key, new KeyAction(key));
// F2
key = new Integer(KeyEvent.VK_F2);
inputMap.put(KeyStroke.getKeyStroke(KeyEvent.VK_F2, 0), key);
actionMap.put(key, new KeyAction(key));
// F3
key = new Integer(KeyEvent.VK_F3);
inputMap.put(KeyStroke.getKeyStroke(KeyEvent.VK_F3, 0), key);
actionMap.put(key, new KeyAction(key));
// F4
key = new Integer(KeyEvent.VK_F4);
inputMap.put(KeyStroke.getKeyStroke(KeyEvent.VK_F4, 0), key);
actionMap.put(key, new KeyAction(key));
// F12
key = new Integer(KeyEvent.VK_F12);
inputMap.put(KeyStroke.getKeyStroke(KeyEvent.VK_F12, 0), key);
actionMap.put(key, new KeyAction(key));
// ESCAPE
key = new Integer(KeyEvent.VK_ESCAPE);
inputMap.put(KeyStroke.getKeyStroke(KeyEvent.VK_ESCAPE, 0), key);
actionMap.put(key, new KeyAction(key));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static void initializeMaps()\n\t{\n\t\taddedPoints = new HashMap<String,String[][][]>();\n\t\tpopulatedList = new HashMap<String,Boolean>();\n\t\tloadedAndGenerated = new HashMap<String,Boolean>();\n\t}",
"public void setUp()\n {\n map = new Map(5, 5, null);\n }",
"private void initMaps()\... | [
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"0.6... | 0.0 | -1 |
Invoked when an action occurs. | public void actionPerformed(ActionEvent e) {
if (identifier.intValue() == KeyEvent.VK_F1) {
btnSearch.doClick();
}
else if (identifier.intValue() == KeyEvent.VK_F2) {
btnRun.doClick();
}
else if (identifier.intValue() == KeyEvent.VK_F3) {
btnFtp.doClick();
}
else if (identifier.intValue() == KeyEvent.VK_F12 ||
identifier.intValue() == KeyEvent.VK_ESCAPE) {
btnCancel.doClick();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic void action() {\n\t\tSystem.out.println(\"action now!\");\n\t}",
"public abstract void onAction();",
"public void action() {\n action.action();\n }",
"@Override\n public void action() {\n }",
"@Override\n public void action() {\n }",... | [
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"0.73412704",
"0.7341... | 0.0 | -1 |
FTP: get files from SIm to POS and put files from POS to SIM | void sendReceive(){
String remotePath="Batch\\Export\\" + DAL.getStoreID();
String localPath="Batch\\Import\\";
String filename="";
File dir;
String[] children;//list of files at local
CustomFtpClient ftpClient = new CustomFtpClient();
try {
//1---------- connect Ftp
//System.out.println(DAL.getStoreID()+" "+DAL.getFtpServer()+" "+DAL.getFtpUser()+" "+DAL.getFtpPassword());
ftpClient.openServer(DAL.getFtpServer());
ftpClient.login(DAL.getFtpUser(), DAL.getFtpPassword());
ftpClient.cd(remotePath);
ftpClient.binary();
//2---------- copy from SIM Export to POS Export
StringBuffer pathList = new StringBuffer();
InputStream is = ftpClient.list();
int c;
//read all file and directory at remote
while ( (c = is.read()) != -1) {
String s = (new Character( (char) c)).toString();
pathList.append(s);
}
StringTokenizer st = new StringTokenizer(pathList.toString(),"\r\n");
//get file from SIM Export
while (st.hasMoreTokens()){
filename=st.nextToken().substring(55);
if(filename.indexOf(".txt")!=-1){
is = ftpClient.get(filename);
File file_out = new File(localPath + filename);
FileOutputStream os = new
FileOutputStream(file_out);
byte[] bytes = new byte[1024];
while ( (c = is.read(bytes)) != -1) {
os.write(bytes, 0, c);
}
is.close();
os.close();
//3--------- delete SIM Export
ftpClient.delete(filename);
}
}
//4--------- copy POS Import to SIM Backup
remotePath="..\\..\\..\\Batch\\Backup\\Export";
localPath="Batch\\Import\\";
ftpClient.cd(remotePath);
//get list of file
dir = new File(localPath);
children = dir.list();
if (children != null) {
for (int i = 0; i < children.length; i++) {
// Get filename of file or directory
filename = children[i];
TelnetOutputStream os = ftpClient.put(filename);
File file_in = new File(localPath + filename);
is = new FileInputStream(file_in);
byte[] bytes = new byte[1024];
while ( (c = is.read(bytes)) != -1) {
os.write(bytes, 0, c);
}
is.close();
os.close();
}
}
//5--------- copy from POS Export to SIM Import
remotePath="..\\..\\..\\Batch\\Import";
localPath="Batch\\Export\\";
ftpClient.cd(remotePath);
//get list of file
dir = new File(localPath);
children = dir.list();
if (children != null) {
for (int i = 0; i < children.length; i++) {
// Get filename of file or directory
filename = children[i];
TelnetOutputStream os = ftpClient.put(filename);
File file_in = new File(filename);
is = new FileInputStream(localPath + file_in);
byte[] bytes = new byte[1024];
while ( (c = is.read(bytes)) != -1) {
os.write(bytes, 0, c);
}
is.close();
os.close();
}
}
//---------- close ftp
ftpClient.closeServer();
}
catch (Exception ex) {
ex.printStackTrace();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int send2FtpServer()\n\t{\n\t\tCoFile file = null;\n\t\tCoFile to = null;\n\t\tString filename = \"\";\n\t\tString dest_filename = \"\";\n\t\tString sum_line = \"\";\n\t\tboolean loadResult = false;\n\t\tboolean renameFileResult = false;\n\t\tfor (int i = 0; i < vFiles.size(); i++)\n\t\t{\n\t\t\tfilename = ... | [
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"0.5512602",
"0.5498536",
"0.5497895... | 0.7333836 | 0 |
Count files in the path | public int countFile(String path){
int count=0;
String filename;
File dir = new File(path);
String[] children = dir.list();
if (children == null) {
count = 0;
}else {
count = children.length;
}
return count;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"int countFile(String path) {\n return readFile(path).length;\n }",
"int getFilesCount();",
"int getFilesCount();",
"int getFileInfoCount();",
"int getFileCount();",
"int getFileNamesCount();",
"int getFileNamesCount();",
"int getPathsCount();",
"int countFile(File file) {\n return ... | [
"0.86199844",
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"0.6839761",
"0.68338525",
"0.6816054",
"0.681297",
"0.67725015",
"0.67658... | 0.85127395 | 1 |
Initialize the contents of the frame. | public void OpenDB() {
String JDriver = "com.microsoft.sqlserver.jdbc.SQLServerDriver";// 数据库驱动
System.out.println("数据库驱动成功");
String connectDB = "jdbc:sqlserver://localhost:1433;DatabaseName=bookstoreDB";// 数据库连接
try {
Class.forName(JDriver);// 加载数据库引擎，返回给定字符串名的类
} catch (ClassNotFoundException e) {// e.printStackTrace();
System.out.println("加载数据库引擎失败");
System.exit(0);
}
try {
conDB = DriverManager.getConnection(connectDB, "sa", "123456");// 连接数据库对象
System.out.println("连接数据库成功");
staDB = conDB.createStatement();
} // 创建SQL命令对象
catch (SQLException e) {
e.printStackTrace();
System.out.println("数据库连接错误");
System.exit(0);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public BreukFrame() {\n super();\n initialize();\n }",
"public MainFrame() {\n\t\tsuper();\n\t\tinitialize();\n\t}",
"private void initialize() {\n\t\tthis.setSize(211, 449);\n\t\tthis.setContentPane(getJContentPane());\n\t\tthis.setTitle(\"JFrame\");\n\t}",
"public SiscobanFrame() {\r\n\t\tsuper();\r... | [
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"0.7140954",
"0.7140953",
"0.7126852",
"0.71079... | 0.0 | -1 |
Inflate the menu; this adds items to the action bar if it is present. | @Override
public boolean onCreateOptionsMenu(Menu menu) {
getMenuInflater().inflate(R.menu.menu_image, menu);
return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public boolean onCreateOptionsMenu(Menu menu) {\n \tMenuInflater inflater = getMenuInflater();\n \tinflater.inflate(R.menu.main_activity_actions, menu);\n \treturn super.onCreateOptionsMenu(menu);\n }",
"@Override\n public void onCreateOptionsMenu(Menu menu, MenuInflater inflater) {... | [
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"0.68621665",
"0.6862... | 0.0 | -1 |
Handle action bar item clicks here. The action bar will automatically handle clicks on the Home/Up button, so long as you specify a parent activity in AndroidManifest.xml. | @Override
public boolean onOptionsItemSelected(MenuItem item) {
int id = item.getItemId();
//noinspection SimplifiableIfStatement
if (id == R.id.action_settings) {
return true;
}
return super.onOptionsItemSelected(item);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public boolean onOptionsItemSelected(MenuItem item) { Handle action bar item clicks here. The action bar will\n // automatically handle clicks on the Home/Up button, so long\n // as you specify a parent activity in AndroidManifest.xml.\n\n //\n // HANDLE BACK BUTTON\n ... | [
"0.7904043",
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"0.737036",
"0.73622394",
"0.7355855",
"0.7345513",
... | 0.0 | -1 |
Returns the opcode stored in this cell. | public int getOpcode(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int getOpCode() {\n return opCode;\n }",
"public int getOp() {\n\t\treturn op;\n\t}",
"public final SymbolNode getOperator() { return this.operator; }",
"public Cell getEnumCell() {\n\n\t\tString player = getNextPlayer();\n\n\t\tCell value;\n\n\t\tif(player.equals(\"X\"))\n\t\t\tvalue = Cell... | [
"0.66553825",
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"0.6204496",
"0.6193623",
"0.6193623",
"0.61563647",
"0.612... | 0.69580525 | 0 |
Returns the operand A stored in this cell. | public int getOperandA(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Number getOperand() {\n return (Number)getAttributeInternal(OPERAND);\n }",
"public String getArithmeticOperator() {\n return (String)getAttributeInternal(ARITHMETICOPERATOR);\n }",
"public int getOperandB();",
"public String operator() {\n return this.operator;\n }",
"... | [
"0.69244945",
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"0.58681154",
"0.5862678",
"0.5862",
"0.58583075",
"0... | 0.6936342 | 0 |
Returns the operand B stored in this cell. | public int getOperandB(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Number getOperand() {\n return (Number)getAttributeInternal(OPERAND);\n }",
"public double getB() {\n return b;\n }",
"public int getB() {\n\t\treturn b;\n\t}",
"public int getB() {\r\n\t\treturn b;\r\n\t}",
"public int getB() {\n return b_;\n }",
"public int getB()... | [
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"0.620047",
"0.6028333",
"0.59902763",
"0.5939493",
... | 0.7347529 | 0 |
Changes the value of the opcode stored in this cell. | public void setOpcode(int val); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setOpcode(short op);",
"public void setOpcode(final int opcode) {\n this.opcode = opcode;\n }",
"public abstract void setCellValue(int cellValue, int row, int col);",
"public void send(Opcode opcode);",
"public void setValue(Instruction val) {\n this.val = checkNotNull(val, \"v... | [
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"0.5193076",
"0.51928574",
"0.51571345",
"0.5152... | 0.73441297 | 0 |
Changes the value of the operand A stored in this cell. | public void setOperandA(int val); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setOperandB(int val);",
"void setActiveOperand(double activeOperand);",
"public void setOperand(Number value) {\n setAttributeInternal(OPERAND, value);\n }",
"public void SetA(byte num) {\r\n\t\tm_numA = num;\r\n\t}",
"public void setValue(A value) {this.value = value; }",
"public v... | [
"0.6637446",
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"0.52780056",
"0.52535",
"0.52223915",
"0.51... | 0.7425384 | 0 |
Changes the value of the operand B stored in this cell. | public void setOperandB(int val); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setB(double b){\n this.b=b;\n }",
"public void setOperandA(int val);",
"public void setB(double value) {\n this.b = value;\n }",
"public void setB_(double b_) {\n\t\tthis.b_ = b_;\n\t}",
"public void buttonB(View v) {\n expression += \"B\";\n\n /* Update the screen. ... | [
"0.6573773",
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"0.54072803",
"0.5404709... | 0.77134615 | 0 |
Abre o navegador com o Driver Explorer | @Before("@Processo")
public void setUp() {
System.setProperty("webdriver.ie.driver", "C:/SeleniumDriver/IEDriverServer.exe");
// Instancia o Driver Explorer
driver = new InternetExplorerDriver();
// Maximiza a tela
driver.manage().window().maximize();
// Abre o Ambiente DEVR2
if (ambiente.equals("DEVR2")) {
driver.get("http://172.20.152.47/mapfrecap//Coreon.Acesso/frmLogin.aspx"); // DEVR2
// Abre o ambiente SUS
} else if (ambiente.equals("SUS")) {
driver.get("http://10.206.28.128/mapfrecap/");
}
// Retorna o titulo da Pagina
System.out.println(driver.getTitle());
// driver.quit();
driver.manage().timeouts().implicitlyWait(40, TimeUnit.SECONDS);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void selectDriver();",
"Driver getDriver();",
"public void testDb() {\n // \"Databases\"\n String databasesLabel = Bundle.getString(\"org.netbeans.modules.db.explorer.node.Bundle\", \"RootNode_DISPLAYNAME\");\n Node databasesNode = new Node(RuntimeTabOperator.invoke().getRootNode(),... | [
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"0.574138",
"0.57376707",
"0.5737266",
"0.57293... | 0.5649632 | 30 |
/ Call> call = apiInterface.getPosts_Id(3); 1. show data according userId / Call> call = apiInterface.getPosts_Id(1,4); 2. data between your choice / Call> call = apiInterface.getPosts_Id(3,"id","desc"); 3. show data according in desc order using Id | private void getPosts_Id() {
Call<List<Post>> call = apiInterface.getPosts_Id(new Integer[]{2, 3, 6}, null, null); //show data according which which userID
call.enqueue(new Callback<List<Post>>() {
@Override
public void onResponse(Call<List<Post>> call, Response<List<Post>> response) {
if (!response.isSuccessful()) {
progressDialog.dismiss();
textView_Results.setText("Code : " + response.code());
return;
}
List<Post> posts = response.body();
for (Post post : posts) {
progressDialog.dismiss();
String content = "";
content += "ID: " + post.getId() + "\n";
content += "UserID: " + post.getUserId() + "\n";
content += "Title: " + post.getTitle() + "\n";
content += "Text: " + post.getText() + "\n\n";
button.setVisibility(View.GONE);
textView_Results.append(content);
}
}
@Override
public void onFailure(Call<List<Post>> call, Throwable t) {
textView_Results.setText(t.getMessage());
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public interface PostsApi {\n\n @GET(\"/posts\")\n Call<ArrayList<Post>> getPosts ();\n\n @GET(\"/posts\")\n Call<ArrayList<Post>> getPostsByUserId (\n @Query(\"userId\") int userId\n );\n}",
"@GET(\"posts\")\n public Call<List<Post>> getPost(@Query(\"userId\") String userId);",
"p... | [
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"0.5726113",
"0.5709438"... | 0.7601662 | 0 |
////////////////////////// TODO: Improve the convergence detection functionality | public HITS(Map<String, Page> pTable, int rank_hist_depth, double delta_tolerance) {
this.pTable = pTable;
this.RANK_HISTORY_DEPTH = rank_hist_depth;
this.DELTA_TOLERANCE = delta_tolerance;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private float get_steering_prediction(Mat frame){\n Imgproc.cvtColor(frame, frame, Imgproc.COLOR_RGBA2RGB);\n Imgproc.cvtColor(frame, frame, Imgproc.COLOR_RGB2YUV);\n Imgproc.GaussianBlur(frame, frame, new Size(3, 3), 0, 0);\n\n Mat f = new Mat();\n Imgproc.resize(frame,f,new Siz... | [
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"0.56860733",
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"0.5679405",
"0.5666977",
... | 0.0 | -1 |
function HITS(query) returns pages with hub and authority number | public List<Page> hits(String query) {
// pages <- EXPAND-PAGES(RELEVANT-PAGES(query))
List<Page> pages = expandPages(relevantPages(query));
// for each p in pages
for (Page p : pages) {
// p.AUTHORITY <- 1
p.authority = 1;
// p.HUB <- 1
p.hub = 1;
}
// repeat until convergence do
while (!convergence(pages)) {
// for each p in pages do
for (Page p : pages) {
// p.AUTHORITY <- &Sigma<sub>i</sub> INLINK<sub>i</sub>(p).HUB
p.authority = SumInlinkHubScore(p);
// p.HUB <- Σ<sub>i</sub> OUTLINK<sub>i</sub>(p).AUTHORITY
p.hub = SumOutlinkAuthorityScore(p);
}
// NORMALIZE(pages)
normalize(pages);
}
return pages;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void computeHubAuth (int..._iterNum) throws IOException\n\t{\n\t\tint iterNum;\n\t\tif(_iterNum.length==0) iterNum=10;\n\t\telse iterNum = _iterNum[0];\n\t\t\n\t\t// variable declaration\n\t\tHashtable<String, Object> hubPrev = new Hashtable<String, Object>();\n\t\tVector<String> oneVector;\n\t\tdouble oneW... | [
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"0.49921727",
"0.49706998",
"0.49705648",
"0.49683... | 0.6986786 | 0 |
Fetches and returns all pages that match the query | public List<Page> relevantPages(String query) {
List<Page> relevantPages = new ArrayList<>();
for (Page p : pTable.values()) {
if (matches(query, p.getContent())) {
relevantPages.add(p);
}
}
return relevantPages;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Page<Preferences> search(String query, Pageable pageable);",
"@Override\n public List<Page> findAll() {\n Query q = new Query(\"pages\");\n // Use PreparedQuery interface to retrieve results\n PreparedQuery pq = datastore.prepare(q);\n List<Entity> list = pq.asList(FetchOptions.Bui... | [
"0.66838837",
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"0.6029431",
"0.6020474",
"0.6004397",
"0.6004326",
"0.6000512",
"0.599666... | 0.64947647 | 3 |
Simple check if query string is a substring of a block of text. | public boolean matches(String query, String text) {
return text.contains(query);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected boolean isSubstring(String substring, String word) {\r\n//\t\tboolean isSub = true;\r\n\t\treturn word.contains(substring);\r\n//\t\treturn isSub;\r\n\t}",
"boolean isSubStr(String s, String t) {\n\t\tint k = 0;\n\t\tfor (int i = 0; i < s.length(); ++i) {\n\t\t\tboolean found = false;\n\t\t\tfor (; k <... | [
"0.6396567",
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"0.54125947",
"0.5404589",
"0.5402229",
"0.5396171",
"0.5359116"... | 0.51392597 | 29 |
Adds pages that are linked to or is linked from one of the pages passed as argument. | public List<Page> expandPages(List<Page> pages) {
List<Page> expandedPages = new ArrayList<>();
Set<String> inAndOutLinks = new HashSet<>();
// Go through all pages an build a list of String links
for (Page currP : pages) {
if (!expandedPages.contains(currP))
expandedPages.add(currP);
List<String> currInlinks = currP.getInlinks();
for (String currInlink : currInlinks)
inAndOutLinks.add(currInlink);
List<String> currOutlinks = currP.getOutlinks();
for (String currOutlink : currOutlinks)
inAndOutLinks.add(currOutlink);
}
// go through String links and add their respective pages to our return
// list
for (String addr : inAndOutLinks) {
Page p = pTable.get(addr);
if (p != null && !expandedPages.contains(p)) { // a valid link may
// not have an
// associated page
// in our table
expandedPages.add(p);
}
}
return expandedPages;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public abstract void addCustomPages();",
"public void resolvePageReferences()\n{\n int count = _pages.size();\n while(count-- > 0)\n getPage(count).resolvePageReferences(this);\n}",
"private void goThroughLinks() throws IOException {\n for (URL link :links) {\n pagesVisited++;\n ... | [
"0.60866046",
"0.59289867",
"0.59182996",
"0.5903291",
"0.5753341",
"0.56251395",
"0.5519568",
"0.5479177",
"0.54567564",
"0.54407084",
"0.5423079",
"0.54064274",
"0.53893185",
"0.5371996",
"0.5357443",
"0.53535336",
"0.5350244",
"0.5348907",
"0.53355676",
"0.5316902",
"0.529... | 0.56842756 | 5 |
end expandPages(); Divides each page's score by the sum of the squares of all pages' scores (separately for both the authority and hubs scores | public List<Page> normalize(List<Page> pages) {
double hubTotal = 0;
double authTotal = 0;
for (Page p : pages) {
// Sum Hub scores over all pages
hubTotal += Math.pow(p.hub, 2);
// Sum Authority scores over all pages
authTotal += Math.pow(p.authority, 2);
}
// divide all hub and authority scores for all pages
for (Page p : pages) {
if (hubTotal > 0) {
p.hub /= hubTotal;
} else {
p.hub = 0;
}
if (authTotal > 0) {
p.authority /= authTotal;
} else {
p.authority = 0;
}
}
return pages; // with normalised scores now
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void reduce ()\r\n {\r\n if (score.getPages().isEmpty()) {\r\n return;\r\n }\r\n\r\n /* Connect parts across the pages */\r\n connection = PartConnection.connectScorePages(pages);\r\n\r\n // Force the ids of all ScorePart's\r\n numberResults();\r\n\r\n... | [
"0.66066957",
"0.63676685",
"0.5997034",
"0.58782643",
"0.5816413",
"0.5546358",
"0.549961",
"0.54723465",
"0.54568356",
"0.54247665",
"0.53816366",
"0.53666496",
"0.5278125",
"0.52656186",
"0.5253078",
"0.51587653",
"0.5137894",
"0.5127928",
"0.512453",
"0.51098424",
"0.5051... | 0.66001767 | 1 |
end normalize() Calculate the Authority score of a page by summing the Hub scores of that page's inlinks. | public double SumInlinkHubScore(Page page) {
List<String> inLinks = page.getInlinks();
double hubScore = 0;
for (String inLink1 : inLinks) {
Page inLink = pTable.get(inLink1);
if (inLink != null)
hubScore += inLink.hub;
// else: page is linked to by a Page not in our table
}
return hubScore;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double SumOutlinkAuthorityScore(Page page) {\n\t\tList<String> outLinks = page.getOutlinks();\n\t\tdouble authScore = 0;\n\t\tfor (String outLink1 : outLinks) {\n\t\t\tPage outLink = pTable.get(outLink1);\n\t\t\tif (outLink != null)\n\t\t\t\tauthScore += outLink.authority;\n\t\t}\n\t\treturn authScore;\n\t}... | [
"0.7328276",
"0.68878555",
"0.5832835",
"0.55169165",
"0.5511383",
"0.5473398",
"0.5268692",
"0.5118998",
"0.508528",
"0.5053972",
"0.5051376",
"0.4999159",
"0.4971344",
"0.49678203",
"0.49618837",
"0.49579164",
"0.49574202",
"0.4950708",
"0.49315587",
"0.49038327",
"0.490179... | 0.6654594 | 2 |
end SumInlinkHubScore() Calculate the Hub score of a page by summing the Authority scores of that page's outlinks. | public double SumOutlinkAuthorityScore(Page page) {
List<String> outLinks = page.getOutlinks();
double authScore = 0;
for (String outLink1 : outLinks) {
Page outLink = pTable.get(outLink1);
if (outLink != null)
authScore += outLink.authority;
}
return authScore;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double SumInlinkHubScore(Page page) {\n\t\tList<String> inLinks = page.getInlinks();\n\t\tdouble hubScore = 0;\n\t\tfor (String inLink1 : inLinks) {\n\t\t\tPage inLink = pTable.get(inLink1);\n\t\t\tif (inLink != null)\n\t\t\t\thubScore += inLink.hub;\n\t\t\t// else: page is linked to by a Page not in our ta... | [
"0.78764486",
"0.5537391",
"0.5258429",
"0.49467254",
"0.48087496",
"0.4700815",
"0.46703494",
"0.46089837",
"0.44824108",
"0.43880585",
"0.4351818",
"0.4350041",
"0.4341886",
"0.43400538",
"0.42933246",
"0.4293078",
"0.42782247",
"0.42239922",
"0.42114788",
"0.42013538",
"0.... | 0.7250174 | 1 |
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