package com.ycl.calculate;
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import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
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import com.ycl.platform.domain.entity.CheckIndexFace;
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import com.ycl.platform.domain.entity.TMonitor;
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import com.ycl.platform.domain.result.HK.MonitoringDetailResult;
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import com.ycl.platform.domain.result.HK.SnapshotDataMonitorResult;
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import com.ycl.platform.domain.vo.TMonitorVO;
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import com.ycl.platform.mapper.CheckIndexFaceMapper;
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import com.ycl.platform.mapper.TMonitorMapper;
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import com.ycl.platform.service.ICheckIndexFaceService;
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import com.ycl.platform.service.ITMonitorService;
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import com.ycl.system.entity.SysDictData;
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import com.ycl.system.mapper.SysConfigMapper;
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import com.ycl.system.mapper.SysDictDataMapper;
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import constant.*;
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import enumeration.general.AreaDeptEnum;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.data.redis.core.RedisTemplate;
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import org.springframework.stereotype.Component;
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import org.springframework.util.CollectionUtils;
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import utils.DateUtils;
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import java.math.BigDecimal;
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import java.math.RoundingMode;
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import java.time.LocalDate;
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import java.time.temporal.TemporalAdjusters;
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import java.util.*;
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import java.util.function.Function;
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import java.util.stream.Collectors;
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/**
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* 计算人脸点位在线率、视图库对接稳定性
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* 抓拍数据量监测结果接口数据
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* 获取分省厅、区域的map<k,v> k为deptId或者Province_deptId
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* 循环map计算点位在线率
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* 更新或新增
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*/
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@Component
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@Slf4j
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public class FaceSnapshotDataCalculation extends IndexCalculationServe implements CalculationStrategy<SnapshotDataMonitorResult> {
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@Autowired
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private CheckIndexFaceMapper checkIndexFaceMapper;
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@Autowired
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private ICheckIndexFaceService checkIndexFaceService;
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@Autowired
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private SysConfigMapper sysConfigMapper;
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@Autowired
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private TMonitorMapper monitorMapper;
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@Autowired
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private RedisTemplate redisTemplate;
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@Autowired
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private SysDictDataMapper dictDataMapper;
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//区域人脸点位在线指标的内部类
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private static class AreaStats {
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int totalSites = 0;
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int onlineSites = 0;
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int totalDataSum = 0;
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}
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@Override
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public void calculate(List<SnapshotDataMonitorResult> list) {
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if (CollectionUtils.isEmpty(list)) {
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log.info("数据为空");
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return;
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}
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//返回以国标码为key的设备map
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Map<String, TMonitorVO> monitorMap = monitorMapper.selectListByIds(list.stream().map(SnapshotDataMonitorResult::getExternalIndexCode).collect(Collectors.toList()))
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.stream().collect(Collectors.toMap(TMonitorVO::getSerialNumber, Function.identity()));
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//获取省厅国标码集合
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List<String> provinceIds = getProvince();
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Map<String, AreaStats> areaStatsMap = new HashMap<>();
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// 获取当前日期
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LocalDate today = LocalDate.now();
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// 获取本月的第一天
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LocalDate firstDayOfMonth = today.with(TemporalAdjusters.firstDayOfMonth());
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// 判断今天是否是本月的第一天
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if (today.equals(firstDayOfMonth)) {
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// 如果是，则清除Redis中记录中断次数的数据
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redisTemplate.delete(RedisConstant.Check_Face_ViewConnect);
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}
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for (SnapshotDataMonitorResult result : list) {
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TMonitorVO monitor = monitorMap.get(result.getExternalIndexCode());
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if (monitor == null) continue;
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String deptId = monitor.getDeptId().toString();
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updateAreaStats(areaStatsMap, deptId, result);
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// 处理省厅数据
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if (!CollectionUtils.isEmpty(provinceIds) && provinceIds.contains(monitor.getSerialNumber())) {
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String provinceKey = ApiConstants.Province + deptId;
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updateAreaStats(areaStatsMap, provinceKey, result);
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}
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}
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// //获取2022同期抓拍平均值 省厅、市局
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// BigDecimal cityCountAvg = getAverageCount(CheckSnapCountConstants.Face_City);
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// BigDecimal countyCountAvg = getAverageCount(CheckSnapCountConstants.Face_County);
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//从字典获取同期抓拍量
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List<SysDictData> faceSnap = dictDataMapper.selectDictDataByType(CheckConstants.DICT_FACE_SNAP);
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// 查询今日数据
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List<CheckIndexFace> checkIndexFaceList = checkIndexFaceMapper.selectToday(DateUtils.getDate());
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List<CheckIndexFace> checkIndexFaces = new ArrayList<>();
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areaStatsMap.forEach((deptId, stats) -> {
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if (stats.totalSites > 0) {
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CheckIndexFace checkIndexFace = createOrUpdateCheckIndexFace(deptId, stats, checkIndexFaceList,faceSnap);
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if (checkIndexFace != null) {
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checkIndexFaces.add(checkIndexFace);
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}
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}
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});
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checkIndexFaceService.saveOrUpdateBatch(checkIndexFaces);
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}
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//累计总点位数、离线数、总抓拍量
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private void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, SnapshotDataMonitorResult result) {
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//返回对象的引用，如果不存在会放入新的key,value
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AreaStats stats = areaStatsMap.computeIfAbsent(key, k -> new AreaStats());
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stats.totalSites++;
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if (ApiConstants.HK_SnapCount_ResultType_Null != result.getResultType()) {
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stats.onlineSites++;
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stats.totalDataSum += result.getDataCount();
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}
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}
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// //获取2022同期抓拍平均值
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// private BigDecimal getAverageCount(String configKey) {
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// String count = sysConfigMapper.checkConfigKeyUnique(configKey).getConfigValue();
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// return new BigDecimal(count)
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// .multiply(new BigDecimal(CheckSnapCountConstants.Multiply))
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// .divide(new BigDecimal(CheckSnapCountConstants.CountyNum), 10, RoundingMode.HALF_UP)
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// .divide(new BigDecimal(LocalDate.now().getDayOfMonth()), 0, RoundingMode.HALF_UP);
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// }
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//车辆点位在线率和视图库对接稳定性
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private CheckIndexFace createOrUpdateCheckIndexFace(String key, AreaStats stats, List<CheckIndexFace> checkIndexFaceList,List<SysDictData> faceSnap) {
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CheckIndexFace checkIndexFace = getCheckIndex(key, checkIndexFaceList, CheckIndexFace.class);
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if (checkIndexFace == null) {
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return null;
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}
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//调用点位在线计算方法
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if (stats.totalSites >= CheckThreadConstants.Check_Face_SiteOnline) {
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Map<String, Object> siteOnlineParam = new HashMap<>();
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siteOnlineParam.put("totalSites", stats.totalSites);
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siteOnlineParam.put("onlineSites", stats.onlineSites);
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BigDecimal siteOnline = siteOnline(siteOnlineParam);
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checkIndexFace.setSiteOnline(siteOnline);
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} else {
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checkIndexFace.setSiteOnline(BigDecimal.ZERO);
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}
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//视图库对接稳定性
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//Redis记录该区县当月无数据上传次数
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Integer noDateCount = (Integer) redisTemplate.opsForHash().get(RedisConstant.Check_Face_ViewConnect, key);
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// 如果值为null，则初始化为0
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if (noDateCount == null) {
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noDateCount = 0;
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}
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Double deductScore = 0.1 * noDateCount;
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log.info("总量：{}",stats.totalDataSum);
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if (stats.totalDataSum != 0) {
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Integer deptId = key.startsWith(ApiConstants.Province) ? Integer.parseInt(key.split("_")[1]) : Integer.parseInt(key);
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String dictKey = key.startsWith(ApiConstants.Province) ? ApiConstants.Province+ AreaDeptEnum.fromDept(deptId).getCode() : ApiConstants.County+AreaDeptEnum.fromDept(deptId).getCode();
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String value = faceSnap.stream().filter(sysDictData -> sysDictData.getDictLabel().equals(dictKey)).findFirst().get().getDictValue();
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Map<String, Object> viewConnectParam = new HashMap<>();
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viewConnectParam.put("totalDataSum", stats.totalDataSum);
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viewConnectParam.put("avgCount", new BigDecimal(value).multiply(new BigDecimal(CheckConstants.MultiplyNum)).divide(new BigDecimal(LocalDate.now().getDayOfMonth()), 0, RoundingMode.HALF_UP));
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BigDecimal viewConnectStability = viewConnectStability(viewConnectParam);
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viewConnectStability = viewConnectStability.subtract(new BigDecimal(deductScore)).max(BigDecimal.ZERO).min(BigDecimal.ONE);
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checkIndexFace.setViewConnectStability(viewConnectStability);
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} else {
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noDateCount++;
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}
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// 将新的值放回Hash中
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redisTemplate.opsForHash().put(RedisConstant.Check_Face_ViewConnect, key, noDateCount);
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return checkIndexFace;
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}
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}
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