diff --git a/src/main/java/com/sztzjy/money_management/service/impl/ScoreRankServiceImpl.java b/src/main/java/com/sztzjy/money_management/service/impl/ScoreRankServiceImpl.java
index d7f1a3e..d22d891 100644
--- a/src/main/java/com/sztzjy/money_management/service/impl/ScoreRankServiceImpl.java
+++ b/src/main/java/com/sztzjy/money_management/service/impl/ScoreRankServiceImpl.java
@@ -114,32 +114,32 @@ public class ScoreRankServiceImpl implements ScoreRankService {
                         Integer resourceStatus = stuTraining.getResourceLearningCompleteStatus() == null ? 0 : stuTraining.getResourceLearningCompleteStatus();
                         Integer learningEvalCompleteStatus = stuTraining.getLearningEvalCompleteStatus() == null ? 9999 : stuTraining.getLearningEvalCompleteStatus();
                         Integer expStatus = stuTraining.getExpTrainingCompleteStatus() == null ? 9999 : stuTraining.getExpTrainingCompleteStatus();
-                        if (knowledgeStatus > 5) {
-                            knowledgeStatus = 5;
+                        if(knowledgeStatus>5){
+                            knowledgeStatus=5;
                         }
-                        if (resourceStatus > 5) {
-                            resourceStatus = 5;
+                        if(resourceStatus>5){
+                            resourceStatus=5;
                         }
                         StudentScoreWeight studentScoreWeight = studentScoreWeightMap.get(stuTraining.getChapterName());
                         BigDecimal summaryScore = studentScoreWeight.getSummaryOfKnowledgeScore().multiply(BigDecimal.valueOf(knowledgeStatus)).multiply(studentScoreWeight.getSummaryOfKnowledgeWeight());
                         BigDecimal resourceScore = studentScoreWeight.getResourceLearningScore().multiply(BigDecimal.valueOf(resourceStatus)).multiply(studentScoreWeight.getResourceLearningWeight());
-                        BigDecimal learningScore = BigDecimal.valueOf(0);
-                        BigDecimal experimentalScore = BigDecimal.valueOf(0);
-                        if (learningEvalCompleteStatus != 9999) {
-                            if (learningEvalCompleteStatus <= 10) {
+                        BigDecimal learningScore= BigDecimal.valueOf(0);
+                        BigDecimal experimentalScore= BigDecimal.valueOf(0);
+                        if(learningEvalCompleteStatus!=9999){
+                            if(learningEvalCompleteStatus<=10){
                                 learningScore = BigDecimal.valueOf(100).subtract(studentScoreWeight.getLearningAssessmentScore().multiply(BigDecimal.valueOf(learningEvalCompleteStatus))).multiply(studentScoreWeight.getLearningAssessmentWeight());
                             }
                         }
-                        if (expStatus != 9999) {
-                            if (expStatus <= 5) {
+                        if(expStatus!=9999){
+                            if(expStatus<=5){
                                 experimentalScore = BigDecimal.valueOf(100).subtract(studentScoreWeight.getExperimentalTrainingScore().multiply(BigDecimal.valueOf(expStatus))).multiply(studentScoreWeight.getExperimentalTrainingWeight());
                             }
                             //财产分配特殊处理
-                            if ("11".equals(stuTraining.getChapterId())) {
-                                if (stuTraining.getExpTrainingCompleteStatus().compareTo(100) > 0) {
+                            if("11".equals(stuTraining.getChapterId())){
+                                if(stuTraining.getExpTrainingCompleteStatus().compareTo(100)>0){
                                     stuTraining.setExpTrainingCompleteStatus(100);
                                 }
-                                experimentalScore = BigDecimal.valueOf(stuTraining.getExpTrainingCompleteStatus()).multiply(studentScoreWeight.getExperimentalTrainingWeight());
+                                experimentalScore= BigDecimal.valueOf(stuTraining.getExpTrainingCompleteStatus()).multiply(studentScoreWeight.getExperimentalTrainingWeight());
                             }
                         }
                         //计算报告分数
@@ -147,7 +147,7 @@ public class ScoreRankServiceImpl implements ScoreRankService {
                         TrainingReportExample trainingReportExample = new TrainingReportExample();
                         trainingReportExample.createCriteria().andChapterIdEqualTo(chapterId).andUserIdEqualTo(userId);
                         List<TrainingReport> trainingReports = trainingReportMapper.selectByExample(trainingReportExample);
-                        BigDecimal reportScore = BigDecimal.ZERO;
+                        BigDecimal reportScore=BigDecimal.ZERO;
                         if (!trainingReports.isEmpty()) {
                             if (trainingReports.get(0).getTeacherScore() != null) {
                                 reportScore = trainingReports.get(0).getTeacherScore().multiply(studentScoreWeight.getReportWeight());
@@ -203,10 +203,10 @@ public class ScoreRankServiceImpl implements ScoreRankService {
                 long countCase = synthesisPlanClientMapper.countByExample(synthesisPlanClientExample);
                 scoreRank.setCountCase((int) countCase);
 
-                StuSynthesisPlanScoreAndAvgScoreDto dto = trainingService.selectStuSynthesisPlanScoreList(userId, schoolId);
-                if (dto == null) {
+                StuSynthesisPlanScoreAndAvgScoreDto dto = trainingService.selectStuSynthesisPlanScoreList(userId,schoolId);
+                if(dto==null){
                     scoreRank.setZhghScore(BigDecimal.ZERO);
-                } else {
+                }else {
                     scoreRank.setZhghScore(dto.getAvgScore());
                 }
 
@@ -402,32 +402,32 @@ public class ScoreRankServiceImpl implements ScoreRankService {
                     Integer resourceStatus = stuTraining.getResourceLearningCompleteStatus() == null ? 0 : stuTraining.getResourceLearningCompleteStatus();
                     Integer learningEvalCompleteStatus = stuTraining.getLearningEvalCompleteStatus() == null ? 9999 : stuTraining.getLearningEvalCompleteStatus();
                     Integer expStatus = stuTraining.getExpTrainingCompleteStatus() == null ? 9999 : stuTraining.getExpTrainingCompleteStatus();
-                    if (knowledgeStatus > 5) {
-                        knowledgeStatus = 5;
+                    if(knowledgeStatus>5){
+                        knowledgeStatus=5;
                     }
-                    if (resourceStatus > 5) {
-                        resourceStatus = 5;
+                    if(resourceStatus>5){
+                        resourceStatus=5;
                     }
                     StudentScoreWeight studentScoreWeight = studentScoreWeightMap.get(stuTraining.getChapterName());
                     BigDecimal summaryScore = studentScoreWeight.getSummaryOfKnowledgeScore().multiply(BigDecimal.valueOf(knowledgeStatus)).multiply(studentScoreWeight.getSummaryOfKnowledgeWeight());
                     BigDecimal resourceScore = studentScoreWeight.getResourceLearningScore().multiply(BigDecimal.valueOf(resourceStatus)).multiply(studentScoreWeight.getResourceLearningWeight());
-                    BigDecimal learningScore = BigDecimal.valueOf(0);
-                    BigDecimal experimentalScore = BigDecimal.valueOf(0);
-                    if (learningEvalCompleteStatus != 9999) {
-                        if (learningEvalCompleteStatus <= 10) {
+                    BigDecimal learningScore= BigDecimal.valueOf(0);
+                    BigDecimal experimentalScore= BigDecimal.valueOf(0);
+                    if(learningEvalCompleteStatus!=9999){
+                        if(learningEvalCompleteStatus<=10){
                             learningScore = BigDecimal.valueOf(100).subtract(studentScoreWeight.getLearningAssessmentScore().multiply(BigDecimal.valueOf(learningEvalCompleteStatus))).multiply(studentScoreWeight.getLearningAssessmentWeight());
                         }
                     }
-                    if (expStatus != 9999) {
-                        if (expStatus <= 5) {
+                    if(expStatus!=9999){
+                        if(expStatus<=5){
                             experimentalScore = BigDecimal.valueOf(100).subtract(studentScoreWeight.getExperimentalTrainingScore().multiply(BigDecimal.valueOf(expStatus))).multiply(studentScoreWeight.getExperimentalTrainingWeight());
                         }
                         //财产分配特殊处理
-                        if ("11".equals(stuTraining.getChapterId())) {
-                            if (stuTraining.getExpTrainingCompleteStatus().compareTo(100) > 0) {
+                        if("11".equals(stuTraining.getChapterId())){
+                            if(stuTraining.getExpTrainingCompleteStatus().compareTo(100)>0){
                                 stuTraining.setExpTrainingCompleteStatus(100);
                             }
-                            experimentalScore = BigDecimal.valueOf(stuTraining.getExpTrainingCompleteStatus()).multiply(studentScoreWeight.getExperimentalTrainingWeight());
+                            experimentalScore= BigDecimal.valueOf(stuTraining.getExpTrainingCompleteStatus()).multiply(studentScoreWeight.getExperimentalTrainingWeight());
                         }
                     }
                     //计算报告分数
@@ -435,9 +435,9 @@ public class ScoreRankServiceImpl implements ScoreRankService {
                     TrainingReportExample trainingReportExample = new TrainingReportExample();
                     trainingReportExample.createCriteria().andChapterIdEqualTo(chapterId).andUserIdEqualTo(userId);
                     List<TrainingReport> trainingReports = trainingReportMapper.selectByExample(trainingReportExample);
-                    BigDecimal reportScore = BigDecimal.ZERO;
+                    BigDecimal reportScore=BigDecimal.ZERO;
                     if (!trainingReports.isEmpty()) {
-                        if (trainingReports.get(0).getTeacherScore() != null) {
+                        if (trainingReports.get(0).getTeacherScore() != null) {  //todo 报告得分为0导致更新成绩报错，这里加了一个判断
                             reportScore = trainingReports.get(0).getTeacherScore().multiply(studentScoreWeight.getReportWeight());
                         }
                     }
@@ -492,10 +492,10 @@ public class ScoreRankServiceImpl implements ScoreRankService {
             long countCase = synthesisPlanClientMapper.countByExample(synthesisPlanClientExample);
             scoreRank.setCountCase((int) countCase);
 
-            StuSynthesisPlanScoreAndAvgScoreDto dto = trainingService.selectStuSynthesisPlanScoreList(userId, schoolId);
-            if (dto == null) {
+            StuSynthesisPlanScoreAndAvgScoreDto dto = trainingService.selectStuSynthesisPlanScoreList(userId,schoolId);
+            if(dto==null){
                 scoreRank.setZhghScore(BigDecimal.ZERO);
-            } else {
+            }else {
                 scoreRank.setZhghScore(dto.getAvgScore());
             }
 
diff --git a/src/main/java/com/sztzjy/money_management/service/impl/TrainingServiceImpl.java b/src/main/java/com/sztzjy/money_management/service/impl/TrainingServiceImpl.java
index baccf7f..0390e65 100644
--- a/src/main/java/com/sztzjy/money_management/service/impl/TrainingServiceImpl.java
+++ b/src/main/java/com/sztzjy/money_management/service/impl/TrainingServiceImpl.java
@@ -11,6 +11,7 @@ import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 
 import java.math.BigDecimal;
+import java.math.RoundingMode;
 import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.List;
@@ -247,7 +248,13 @@ public class TrainingServiceImpl implements TrainingService {
         }
         StuSynthesisPlanScoreAndAvgScoreDto dto = new StuSynthesisPlanScoreAndAvgScoreDto();
         dto.setList(returnList);
-        dto.setAvgScore(fenzi.divide(fenmu).setScale(4, BigDecimal.ROUND_HALF_UP).multiply(BigDecimal.valueOf(100)).setScale(2, BigDecimal.ROUND_HALF_UP));
+        if (fenzi.compareTo(BigDecimal.ZERO)<=0){
+            System.out.println();
+        }
+        //todo 报错舍去模式有问题，修改了四舍五入模式
+        dto.setAvgScore(fenzi.divide(fenmu,4, RoundingMode.HALF_UP)
+                .multiply(BigDecimal.valueOf(100))
+                .setScale(2, RoundingMode.HALF_UP));
         return dto;
     }
 }