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@@ -0,0 +1,194 @@
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+package org.diagbot.push.transform;
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+
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+import org.diagbot.bigdata.common.ApplicationCacheUtil;
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+import org.diagbot.common.javabean.Rule;
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+import org.diagbot.common.javabean.MedicalIndication;
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+import org.diagbot.common.work.LisDetail;
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+import org.diagbot.common.work.ResponseData;
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+import org.diagbot.common.work.SearchData;
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+import org.diagbot.nlp.participle.ParticipleUtil;
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+import org.diagbot.nlp.participle.word.Lexeme;
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+import org.diagbot.nlp.participle.word.LexemePath;
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+import org.diagbot.push.controller.ParticipleController;
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+
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+import java.util.ArrayList;
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+import java.util.List;
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+import java.util.Map;
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+import java.util.stream.Collectors;
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+
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+public class PreProcess {
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+
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+ private static String up = "升高";
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+ private static String down = "降低";
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+ private static String normal = "正常";
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+
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+ private static String pos = "阳性";
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+ private static String neg = "阴性";
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+
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+ /**
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+ * 处理临床数据
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+ *
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+ * @param searchdata
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+ * @return ResponseData
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+ */
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+ public SearchData processClinicalData(SearchData searchdata) {
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+ SearchData sData = searchdata;
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+
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+ sData = calculateLis(sData);
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+
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+ return sData;
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+ }
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+
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+ public ResponseData applyrules(SearchData sData, ResponseData bigDataResponse) {
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+
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+ List<MedicalIndication> reminder;
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+ try {
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+ Map<String, List<Rule>> rule = ApplicationCacheUtil.get_rule_filter_map();
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+
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+ reminder = applytolis(sData, rule);
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+
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+ bigDataResponse.setMedicalIndications(reminder);
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+
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+ } catch (Exception ex) {
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+ ex.printStackTrace();
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+ } finally {
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+ return bigDataResponse;
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+ }
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+ }
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+
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+ private List<MedicalIndication> applytolis(SearchData sData, Map<String, List<Rule>> rule) {
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+
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+ List<MedicalIndication> reminder = new ArrayList<>();
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+ try {
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+ List<LisDetail> lisarr = sData.getLisArr();
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+ String name;
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+ String detail;
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+
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+ for (LisDetail lis : lisarr) {
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+ detail = lis.getDetailName();
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+// name = lis.getName();
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+ String key = detail;
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+ if (rule.get(key) != null) {
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+ reminder.addAll(compare(rule.get(key), lis));
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+ }
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+ }
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+
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+ for (MedicalIndication r: reminder) {
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+ System.out.println(r.getName());
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+ }
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+ } catch (Exception ex) {
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+ ex.printStackTrace();
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+ } finally {
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+ return reminder;
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+ }
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+ }
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+
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+ private List<MedicalIndication> compare(List<Rule> rules, LisDetail lis) {
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+ List<MedicalIndication> reminder = new ArrayList<>();
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+ boolean minmatch, maxmatch;
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+ Double minval, maxval;
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+ String minop, maxop, minunit, maxunit;
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+
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+ try {
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+ Double numval = lis.getValue();
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+ String unit = lis.getUnits();
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+ String otherval = lis.getOtherValue();
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+
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+ if (null == numval && otherval.trim().length() > 0) {
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+ for (Rule rule : rules) {
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+ if (rule.getMin_operator().equals("=") && otherval.contains(rule.getMin_value())) {
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+ MedicalIndication medind = new MedicalIndication();
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+ medind.setName(rule.getRemind());
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+ reminder.add(medind);
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+ }
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+ }
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+ } else if (String.valueOf(numval).trim().length() > 0 && unit.length() > 0){
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+ for (Rule rule : rules) {
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+ minmatch = maxmatch = false;
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+ minval = (rule.getMin_value().length()==0)?0:Double.valueOf(rule.getMin_value());
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+ maxval = (rule.getMax_value().length()==0)?0:Double.valueOf(rule.getMax_value());
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+ minunit = rule.getMin_unit();
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+ maxunit = rule.getMax_unit();
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+ minop = rule.getMin_operator();
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+ maxop = rule.getMax_operator();
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+
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+ if ( String.valueOf(minval).trim().length() > 0 && minunit.equals(unit) ) {
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+ switch (minop) {
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+ case ">":
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+ if (numval > minval) { minmatch = true; }
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+ break;
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+ case ">=":
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+ if (numval >= minval) { minmatch = true; }
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+ break;
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+ }
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+ } else { minmatch = true; }
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+
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+ if (String.valueOf(maxval).trim().length() > 0 && maxunit.equals(unit) ) {
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+ switch (maxop) {
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+ case "<":
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+ if (numval < maxval) { maxmatch = true; }
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+ break;
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+ case "<=":
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+ if (numval <= maxval) { maxmatch = true; }
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+ break;
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+ }
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+ } else { maxmatch = true; }
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+
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+ if (minmatch && maxmatch) {
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+ MedicalIndication medind = new MedicalIndication();
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+ medind.setName(rule.getRemind());
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+ reminder.add(medind);
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+ }
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+ }
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+ }
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+
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+ } catch (Exception ex) {
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+ ex.printStackTrace();
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+ } finally {
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+ return reminder;
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+ }
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+ }
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+
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+ private SearchData calculateLis(SearchData sData) {
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+ sData.setLisArr(processLis(sData.getLisArr()));
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+
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+ if (sData.getLisArr().size() > 0) {
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+ List<String> otherVal = sData.getLisArr().stream().map(lisArr -> lisArr.getOtherValue()).collect(Collectors.toList());
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+ sData.setLis(String.join(",", otherVal));
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+ }
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+
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+ return sData;
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+ }
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+
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+ private List<LisDetail> processLis(List<LisDetail> lisArr) {
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+ if (lisArr.size() == 0) {
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+ return lisArr;
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+ }
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+
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+ String Otherval = "";
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+
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+ for (int i = 0; i < lisArr.size(); i++) {
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+ LisDetail lisres = lisArr.get(i);
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+
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+// Otherval = (lisres.getOtherValue().trim().length() > 0) ? lisres.getOtherValue().trim() + "\n" : "";
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+ Otherval = lisres.getOtherValue();
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+
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+ if (Otherval.indexOf(pos) >= 0 || Otherval.indexOf(neg) >= 0) {
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+ lisres.setOtherValue(lisres.getDetailName() + Otherval);
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+ } else {
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+ Otherval = (Otherval.trim().length() > 0) ? Otherval.trim() + "\n" : "";
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+ if (lisres.getValue() == null) {
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+ continue;
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+ } else if (lisres.getMaxValue() != null && lisres.getValue() > lisres.getMaxValue()) {
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+ lisres.setOtherValue(Otherval + lisres.getDetailName() + up);
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+ } else if (lisres.getMinValue() != null && lisres.getValue() < lisres.getMinValue()) {
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+ lisres.setOtherValue(Otherval + lisres.getDetailName() + down);
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+ } else {
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+ lisres.setOtherValue(Otherval + lisres.getDetailName() + normal);
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+ }
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+ }
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+ }
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+
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+ return lisArr;
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+ }
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+}
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MarkHuang