优化生成报告全班都不参加考试的错误

sexam/src/main/java/com/xhkjedu/sexam/service/report/EReportGenerateService.java

         double schoolStatisticsMax = schoolStatistics.getMax();
         double schoolStatisticsAverage = N_Utils.formatDouble(schoolStatistics.getAverage(), 2);
         double schoolStatisticsMin = schoolStatistics.getMin();
-        if (N_Utils.isListEmpty(students)) {
+        if (N_Utils.isListEmpty(students) || N_Utils.isListEmpty(nozeroschoolStudents)) {
             schoolStatisticsMax = 0;
             schoolStatisticsMin = 0;
+            schoolStatisticsAverage = 0;
         }
 
         ERbase rbase = new ERbase();
         DoubleSummaryStatistics statistics = nozerolist.stream().mapToDouble(s -> s.getScore()).summaryStatistics();
         double maxscore = statistics.getMax();
         double minscore = statistics.getMin();
-        if (N_Utils.isListEmpty(list)) {
+        double avgscore = N_Utils.formatDouble(statistics.getAverage(), 2);
+        if (N_Utils.isListEmpty(list) || N_Utils.isListEmpty(nozerolist)) {
             maxscore = 0;
             minscore = 0;
+            avgscore = 0;
         }
         ERsubject rs = new ERsubject();
         rs.setExamid(examid);
         rs.setScore(allscore);
         rs.setMaxscore(maxscore);
         rs.setMinscore(minscore);
-        rs.setAvgscore(N_Utils.formatDouble(statistics.getAverage(), 2));
+        rs.setAvgscore(avgscore);
         int yxnum = list.stream().filter(l -> l.getScore().compareTo(yxscore) != -1)
                 .collect(Collectors.toList()).size();
         int lhnum = list.stream().filter(l -> l.getScore().compareTo(lhscore) != -1)
             List<ERstudent> rstudentList = entry.getValue();
             List<ERstudent> nozerorstudentList = rstudentList.stream().filter(s -> s.getScore()>0).collect(Collectors.toList());
             DoubleSummaryStatistics claStatistics = nozerorstudentList.stream().mapToDouble(s -> s.getScore()).summaryStatistics();
+
+            double clamaxscore = claStatistics.getMax();
+            double claminscore = claStatistics.getMin();
+            double claavgscore = N_Utils.formatDouble(claStatistics.getAverage(), 2);
+            if (N_Utils.isListEmpty(list) || N_Utils.isListEmpty(nozerorstudentList)) {
+                clamaxscore = 0;
+                claminscore = 0;
+                claavgscore = 0;
+            }
+
             ERclass rc = new ERclass();
             rc.setQkbzc(qkbzc);
             rc.setExamid(examid);
             rc.setSubjectid(subjectid);
             rc.setSubjectname(subjectname);
             rc.setAllscore(allscore);
-            rc.setClassmaxscore(claStatistics.getMax());
-            rc.setClassminscore(claStatistics.getMin());
-            rc.setClassavgscore(N_Utils.formatDouble(claStatistics.getAverage(), 2));
+            rc.setClassmaxscore(clamaxscore);
+            rc.setClassminscore(claminscore);
+            rc.setClassavgscore(claavgscore);
             rc.setSchoolmaxscore(maxscore);
             rc.setSchoolavgscore(N_Utils.formatDouble(statistics.getAverage(), 2));
             sknum = rstudentList.stream().filter(l -> l.getSstate() == 2)