Merge branch 'master' into feature/rank_diversity

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/common/base/RankItem.java

@@ -15,6 +15,7 @@ public class RankItem implements Comparable<RankItem> {
     // featureMap中保存所有的特征
     public Map<String, String> featureMap = new HashMap<>();
     public Map<String, String> norFeatureMap = new HashMap<>();
+    public Map<String, String> rosFeatureMap = new HashMap<>();
     // 所有特征，包括视频、用户等等
     public Map<String, String> allFeatureMap = new HashMap<>();
     public Map<String, Double> featureMapDouble = new HashMap<>();

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/rank/extractor/ExtractorUtils.java

@@ -1,5 +1,8 @@
 package com.tzld.piaoquan.recommend.server.service.rank.extractor;
 
+import com.tzld.piaoquan.recommend.server.util.SimilarityUtils;
+import org.xm.Similarity;
+
 import java.time.Instant;
 import java.time.LocalDate;
 import java.time.LocalDateTime;
@@ -9,9 +12,6 @@ import java.time.temporal.ChronoUnit;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
-
-import com.tzld.piaoquan.recommend.server.util.SimilarityUtils;
-import org.xm.Similarity;
 public class ExtractorUtils {
 
     public static double sigmoid(double x) {
@@ -255,6 +255,10 @@ public class ExtractorUtils {
         return 1.0 / (num + 1);
     }
 
+    public static double inverseLog(double y) {
+        return Math.exp(y) - 1.0;
+    }
+
     public static void main(String[] args) {
 //        System.out.println(ceilLogRate(0.0002));
 //        System.out.println(ceilLogRate(0.01));

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/rank/strategy/RankStrategy4RegionMergeModelV565.java

@@ -188,7 +188,7 @@ public class RankStrategy4RegionMergeModelV565 extends RankStrategy4RegionMergeM
         double calcVorMode = mergeWeight.getOrDefault("calc_vor_mode", 1d);
 
         Map<String, String> sceneFeatureMap = new HashMap<>(0);
-        List<RankItem> items = ScorerUtils.getScorerPipeline("feeds_score_config_xgb_rov_20250228.conf").scoring(sceneFeatureMap, userFeatureMap, rankItems);
+        List<RankItem> items = ScorerUtils.getScorerPipeline("feeds_score_config_xgb_str_20250228.conf").scoring(sceneFeatureMap, userFeatureMap, rankItems);
         // 5 排序公式特征
         Map<String, Map<String, String>> vid2MapFeature = this.getVideoRedisFeature(vids, "redis:vid_hasreturn_vor_4share:");
         List<Video> result = new ArrayList<>();
@@ -206,7 +206,7 @@ public class RankStrategy4RegionMergeModelV565 extends RankStrategy4RegionMergeM
             double vor24h = Double.parseDouble(vidFeatureMap.getOrDefault("vor_24h", "0"));
             if (calcVorMode == 1d) {
                 vor24h = ExtractorUtils.calLog(vor24h);
-            } else if (vor24h == 2d) {
+            } else if (calcVorMode == 2d) {
                 double vorCoefficient = mergeWeight.getOrDefault("vor_coefficient", 1d);
                 vor24h = vorCoefficient * vor24h;
             }

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/rank/strategy/RankStrategy4RegionMergeModelV569.java

@@ -1,7 +1,6 @@
 package com.tzld.piaoquan.recommend.server.service.rank.strategy;
 
 import com.ctrip.framework.apollo.spring.annotation.ApolloJsonValue;
-import com.tzld.piaoquan.recommend.server.common.ThreadPoolFactory;
 import com.tzld.piaoquan.recommend.server.common.base.RankItem;
 import com.tzld.piaoquan.recommend.server.model.Video;
 import com.tzld.piaoquan.recommend.server.service.FeatureService;
@@ -10,17 +9,14 @@ import com.tzld.piaoquan.recommend.server.service.rank.extractor.ExtractorUtils;
 import com.tzld.piaoquan.recommend.server.service.recall.strategy.*;
 import com.tzld.piaoquan.recommend.server.service.score.ScorerUtils;
 import com.tzld.piaoquan.recommend.server.util.CommonCollectionUtils;
+import com.tzld.piaoquan.recommend.server.util.ExtractFeature20250218;
 import com.tzld.piaoquan.recommend.server.util.FeatureBucketUtils;
-import com.tzld.piaoquan.recommend.server.util.SimilarityUtils;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.collections4.MapUtils;
-import org.apache.commons.math3.util.Pair;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 
 import java.util.*;
-import java.util.concurrent.Future;
-import java.util.concurrent.TimeUnit;
 import java.util.stream.Collectors;
 
 @Service
@@ -32,16 +28,11 @@ public class RankStrategy4RegionMergeModelV569 extends RankStrategy4RegionMergeM
     @Autowired
     private FeatureService featureService;
 
-    private static final List<String> shortPeriod = Arrays.asList("1h", "2h", "4h", "6h", "12h", "24h", "7d");
-    private static final List<String> middlePeriod = Arrays.asList("14d", "30d");
-    private static final List<String> longPeriod = Arrays.asList("7d", "35d", "90d", "365d");
-    private static final List<String> cfRosList = Collections.singletonList("rosn");
-    private static final List<String> cfRovList = Collections.singletonList("rovn");
-    private static final List<String> videoSimAttrs = Arrays.asList("cate1_list", "cate2", "cate2_list",
-            "keywords", "style", "theme", "title", "topic", "user_value");
-
     @Override
     public List<Video> mergeAndRankRovRecall(RankParam param) {
+
+        long startTime = System.currentTimeMillis();
+
         Map<String, Double> mergeWeight = this.mergeWeight != null ? this.mergeWeight : new HashMap<>(0);
         //-------------------融-------------------
         //-------------------合-------------------
@@ -75,6 +66,19 @@ public class RankStrategy4RegionMergeModelV569 extends RankStrategy4RegionMergeM
         v1 = v1.subList(0, Math.min(mergeWeight.getOrDefault("v1", 5.0).intValue(), v1.size()));
         rovRecallRank.addAll(v1);
         setVideo.addAll(v1.stream().map(Video::getVideoId).collect(Collectors.toSet()));
+        //-------------------scene cf rovn------------------
+        List<Video> sceneCFRovn = extractAndSort(param, SceneCFRovnRecallStrategy.PUSH_FORM);
+        sceneCFRovn = sceneCFRovn.stream().filter(r -> !setVideo.contains(r.getVideoId())).collect(Collectors.toList());
+        sceneCFRovn = sceneCFRovn.subList(0, Math.min(mergeWeight.getOrDefault("sceneCFRovn", 5.0).intValue(), sceneCFRovn.size()));
+        rovRecallRank.addAll(sceneCFRovn);
+        setVideo.addAll(sceneCFRovn.stream().map(Video::getVideoId).collect(Collectors.toSet()));
+        //-------------------scene cf rosn------------------
+        List<Video> sceneCFRosn = extractAndSort(param, SceneCFRosnRecallStrategy.PUSH_FORM);
+        sceneCFRosn = sceneCFRosn.stream().filter(r -> !setVideo.contains(r.getVideoId())).collect(Collectors.toList());
+        sceneCFRosn = sceneCFRosn.subList(0, Math.min(mergeWeight.getOrDefault("sceneCFRosn", 5.0).intValue(), sceneCFRosn.size()));
+        rovRecallRank.addAll(sceneCFRosn);
+        setVideo.addAll(sceneCFRosn.stream().map(Video::getVideoId).collect(Collectors.toSet()));
+
 
         //-------------------排-------------------
         //-------------------序-------------------
@@ -89,233 +93,150 @@ public class RankStrategy4RegionMergeModelV569 extends RankStrategy4RegionMergeM
         String headVid = String.valueOf(param.getHeadVid());
         String sceneType = String.valueOf(param.getHotSceneType());
         Map<String, Map<String, Map<String, String>>> videoBaseInfoMap = featureService.getVideoBaseInfo(headVid, vids);
-        FeatureService.Feature feature = featureService.getNewFeature(provinceCn, param.getMid(), sceneType, headVid, videoBaseInfoMap, vids);
+        String appType = String.valueOf(param.getAppType());
+        String brand = "";
+        if (Objects.nonNull(param.getMachineInfo())) {
+            brand = param.getMachineInfo().getBrand();
+        }
+
+        long ts = System.currentTimeMillis() / 1000;
+
+        FeatureService.Feature feature = featureService.getFeatureByNewLabel(appType, sceneType, provinceCn, brand, param.getMid(), headVid, vids, videoBaseInfoMap);
         Map<String, Map<String, String>> featureOriginUser = feature.getUserFeature();
         Map<String, Map<String, Map<String, String>>> featureOriginVideo = feature.getVideoFeature();
         Map<String, String> headVideoInfo = videoBaseInfoMap.getOrDefault(headVid, new HashMap<>()).getOrDefault("alg_vid_feature_basic_info", new HashMap<>());
 
         // 2 特征处理
         Map<String, Double> userFeatureMapDouble = new HashMap<>();
-        String mid = param.getMid();
-        Map<String, String> c1 = featureOriginUser.getOrDefault("alg_mid_feature_play", new HashMap<>());
-        Map<String, String> c2 = featureOriginUser.getOrDefault("alg_mid_feature_share_and_return", new HashMap<>());
-        Map<String, String> c3 = featureOriginUser.getOrDefault("alg_mid_feature_play_tags", new HashMap<>());
-        Map<String, String> c4 = featureOriginUser.getOrDefault("alg_mid_feature_return_tags", new HashMap<>());
-        Map<String, String> c5 = featureOriginUser.getOrDefault("alg_mid_feature_share_tags", new HashMap<>());
-        Map<String, String> c6 = featureOriginUser.getOrDefault("alg_mid_feature_feed_exp_share_tags_v2", new HashMap<>());
-        Map<String, String> c7 = featureOriginUser.getOrDefault("alg_mid_feature_feed_exp_return_tags_v2", new HashMap<>());
-        Map<String, String> c8 = featureOriginUser.getOrDefault("alg_mid_feature_sharecf", new HashMap<>());
-        Map<String, String> c9 = featureOriginUser.getOrDefault("alg_mid_feature_returncf", new HashMap<>());
-
-        if (!c1.isEmpty()) {
-            userFeatureMapDouble.put("playcnt_6h", Double.parseDouble(c1.getOrDefault("playcnt_6h", "0")));
-            userFeatureMapDouble.put("playcnt_1d", Double.parseDouble(c1.getOrDefault("playcnt_1d", "0")));
-            userFeatureMapDouble.put("playcnt_3d", Double.parseDouble(c1.getOrDefault("playcnt_3d", "0")));
-            userFeatureMapDouble.put("playcnt_7d", Double.parseDouble(c1.getOrDefault("playcnt_7d", "0")));
-        }
-        if (!c2.isEmpty()) {
-            userFeatureMapDouble.put("share_pv_12h", Double.parseDouble(c2.getOrDefault("share_pv_12h", "0")));
-            userFeatureMapDouble.put("share_pv_1d", Double.parseDouble(c2.getOrDefault("share_pv_1d", "0")));
-            userFeatureMapDouble.put("share_pv_3d", Double.parseDouble(c2.getOrDefault("share_pv_3d", "0")));
-            userFeatureMapDouble.put("share_pv_7d", Double.parseDouble(c2.getOrDefault("share_pv_7d", "0")));
-            userFeatureMapDouble.put("return_uv_12h", Double.parseDouble(c2.getOrDefault("return_uv_12h", "0")));
-            userFeatureMapDouble.put("return_uv_1d", Double.parseDouble(c2.getOrDefault("return_uv_1d", "0")));
-            userFeatureMapDouble.put("return_uv_3d", Double.parseDouble(c2.getOrDefault("return_uv_3d", "0")));
-            userFeatureMapDouble.put("return_uv_7d", Double.parseDouble(c2.getOrDefault("return_uv_7d", "0")));
-        }
 
-        Map<String, String> c34567Map = new HashMap<>(15);
-        List<Tuple2> tmpList0 = Arrays.asList(
-                new Tuple2(c3, "c3_feature"),
-                new Tuple2(c4, "c4_feature"),
-                new Tuple2(c5, "c5_feature"),
-                new Tuple2(c6, "c6_feature"),
-                new Tuple2(c7, "c7_feature")
-        );
-        for (Tuple2 tuple2 : tmpList0) {
-            for (String key_time : Arrays.asList("tags_1d", "tags_3d", "tags_7d")) {
-                String tags = tuple2.first.getOrDefault(key_time, "");
-                if (!tags.isEmpty()) {
-                    c34567Map.put(tuple2.name + "_" + key_time, tags);
-                }
-            }
-        }
-
-        Map<String, Map<String, String[]>> c89Map = new HashMap<>(4);
-        List<Tuple2> tmpList1 = Arrays.asList(
-                new Tuple2(c8, "c8_feature"),
-                new Tuple2(c9, "c9_feature")
-        );
-        for (Tuple2 tuple2 : tmpList1) {
-            for (String key_action : Arrays.asList("share", "return")) {
-                String cfListStr = tuple2.first.getOrDefault(key_action, "");
-                if (!cfListStr.isEmpty()) {
-                    Map<String, String[]> cfMap = new HashMap<>();
-                    String[] entries = cfListStr.split(",");
-                    for (String entry : entries) {
-                        String[] rList = entry.split(":");
-                        if (rList.length >= 4) { // 确保分割后有四个元素
-                            String key = rList[0];
-                            String value1 = rList[1];
-                            String value2 = rList[2];
-                            String value3 = rList[3];
-                            String[] strs = {value1, value2, value3};
-                            cfMap.put(key, strs);
-                        }
-                    }
-                    c89Map.put(tuple2.name + "_" + key_action, cfMap);
-                }
-            }
-        }
+        Map<String, String> c1 = featureOriginUser.getOrDefault("mid_global_feature_20250212", new HashMap<>());
+        Map<String, String> c4 = featureOriginUser.getOrDefault("mid_u2u_friend_index_feature_20250212", new HashMap<>());
+        Map<String, String> c5 = featureOriginUser.getOrDefault("alg_mid_feature_return_tags", new HashMap<>());
+        Map<String, String> c6 = featureOriginUser.getOrDefault("alg_mid_feature_share_tags", new HashMap<>());
+        Map<String, String> c7 = featureOriginUser.getOrDefault("alg_mid_feature_sharecf", new HashMap<>());
+        Map<String, String> c8 = featureOriginUser.getOrDefault("alg_mid_feature_returncf", new HashMap<>());
 
+        ExtractFeature20250218.handleC1(c1, userFeatureMapDouble);
+        ExtractFeature20250218.handleC4(c4, userFeatureMapDouble);
+        Map<String, Map<String, String[]>> c78FeatureMap = ExtractFeature20250218.handleC7ToC8(c7, c8);
 
         List<RankItem> rankItems = CommonCollectionUtils.toList(rovRecallRank, RankItem::new);
         for (RankItem item : rankItems) {
-            Map<String, Double> featureMap = new HashMap<>();
-            String vid = item.getVideoId() + "";
-            Map<String, String> b1 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_all_exp_v2", new HashMap<>());
-            Map<String, String> b2 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_all_share", new HashMap<>());
-            Map<String, String> b3 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_all_return", new HashMap<>());
-            Map<String, String> b6 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_exp2share_v2", new HashMap<>());
-            Map<String, String> b7 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_share2return", new HashMap<>());
-
-            Map<String, String> b8 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_feed_noflow_exp_v2", new HashMap<>());
-            Map<String, String> b9 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_feed_noflow_root_share_v2", new HashMap<>());
-            Map<String, String> b10 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_feed_noflow_root_return_v2", new HashMap<>());
-            Map<String, String> b11 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_feed_flow_exp_v2", new HashMap<>());
-            Map<String, String> b12 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_feed_flow_root_share_v2", new HashMap<>());
-            Map<String, String> b13 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_feed_flow_root_return_v2", new HashMap<>());
-            Map<String, String> b17 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_feed_province_exp_v2", new HashMap<>());
-            Map<String, String> b18 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_feed_province_root_share_v2", new HashMap<>());
-            Map<String, String> b19 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_feed_province_root_return_v2", new HashMap<>());
-
-            List<Tuple4> originData = Arrays.asList(
-                    new Tuple4(b1, b2, b3, "b123"),
-                    new Tuple4(b1, b6, b7, "b167"),
-                    new Tuple4(b8, b9, b10, "b8910"),
-                    new Tuple4(b11, b12, b13, "b111213"),
-                    new Tuple4(b17, b18, b19, "b171819")
-            );
-
-            for (Tuple4 tuple4 : originData) {
-                for (String prefix2 : Arrays.asList("1h", "2h", "3h", "4h", "12h", "1d", "3d", "7d")) {
-                    double exp = tuple4.first.isEmpty() ? 0 : Double.parseDouble(tuple4.first.getOrDefault("exp_pv_" + prefix2, "0.0"));
-                    double share = tuple4.second.isEmpty() ? 0 : Double.parseDouble(tuple4.second.getOrDefault("share_pv_" + prefix2, "0.0"));
-                    double returns = tuple4.third.isEmpty() ? 0 : Double.parseDouble(tuple4.third.getOrDefault("return_uv_" + prefix2, "0.0"));
-
-                    double f1 = ExtractorUtils.calDiv(share, exp);
-                    double f2 = ExtractorUtils.calLog(share);
-                    double f3 = ExtractorUtils.calDiv(returns, exp);
-                    double f4 = ExtractorUtils.calLog(returns);
-                    double f5 = f3 * f4;
-                    double f6 = ExtractorUtils.calDiv(returns, share);
-
-                    String key1 = tuple4.name + "_" + prefix2 + "_" + "STR";
-                    String key2 = tuple4.name + "_" + prefix2 + "_" + "log(share)";
-                    String key3 = tuple4.name + "_" + prefix2 + "_" + "ROV";
-                    String key4 = tuple4.name + "_" + prefix2 + "_" + "log(return)";
-                    String key5 = tuple4.name + "_" + prefix2 + "_" + "ROV*log(return)";
-                    String key6 = tuple4.name + "_" + prefix2 + "_" + "ROS";
-
-                    featureMap.put(key1, f1);
-                    featureMap.put(key2, f2);
-                    featureMap.put(key3, f3);
-                    featureMap.put(key4, f4);
-                    featureMap.put(key5, f5);
-                    featureMap.put(key6, f6);
-                }
-            }
 
-            Map<String, String> videoInfo = videoBaseInfoMap.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_vid_feature_basic_info", new HashMap<>());
-            featureMap.put("total_time", Double.parseDouble(videoInfo.getOrDefault("total_time", "0")));
-            featureMap.put("bit_rate", Double.parseDouble(videoInfo.getOrDefault("bit_rate", "0")));
-
-            String title = videoInfo.getOrDefault("title", "");
-            if (!title.isEmpty()) {
-                List<Future<Pair<String, Double[]>>> futures = new ArrayList<>();
-                for (String name : Arrays.asList("c3_feature", "c4_feature", "c5_feature", "c6_feature", "c7_feature")) {
-                    for (String key_time : Arrays.asList("tags_1d", "tags_3d", "tags_7d")) {
-                        String key = name + "_" + key_time;
-                        String tags = c34567Map.getOrDefault(key, "");
-                        if (!tags.isEmpty()) {
-                            Future<Pair<String, Double[]>> future = ThreadPoolFactory.defaultPool().submit(() -> {
-                                Double[] doubles = ExtractorUtils.funcC34567ForTagsNew(tags, title);
-                                return Pair.create(key, doubles);
-                            });
-                            futures.add(future);
-                        }
-                    }
-                }
-                try {
-                    for (Future<Pair<String, Double[]>> future : futures) {
-                        Pair<String, Double[]> pair = future.get(1000, TimeUnit.MILLISECONDS);
-                        featureMap.put(pair.getFirst() + "_matchnum", pair.getSecond()[0]);
-                        featureMap.put(pair.getFirst() + "_maxscore", pair.getSecond()[1]);
-                        featureMap.put(pair.getFirst() + "_avgscore", pair.getSecond()[2]);
-                    }
-                } catch (Exception e) {
-                    log.error("concurrent similarity error", e);
-                }
-            }
+            String vidStr = String.valueOf(item.getVideoId());
 
-            if (!vid.isEmpty()) {
-                for (String key_feature : Arrays.asList("c8_feature", "c9_feature")) {
-                    for (String key_action : Arrays.asList("share", "return")) {
-                        Map<String, String[]> cfMap = c89Map.getOrDefault(key_feature + "_" + key_action, new HashMap<>());
-                        if (cfMap.containsKey(vid)) {
-                            String[] scores = cfMap.get(vid);
-                            Double score1 = Double.parseDouble(scores[0]);
-                            Double score2 = Double.parseDouble(scores[1]);
-                            Double score3 = Double.parseDouble(scores[2]) <= 0 ? 0D : 1.0 / Double.parseDouble(scores[2]);
-                            featureMap.put(key_feature + "_" + key_action + "_score", score1);
-                            featureMap.put(key_feature + "_" + key_action + "_num", score2);
-                            featureMap.put(key_feature + "_" + key_action + "_rank", score3);
-                        }
-                    }
-                }
-            }
-            Map<String, String> d1 = featureOriginVideo.getOrDefault(vid, new HashMap<>()).getOrDefault("alg_recsys_feature_cf_i2i_new_v2", new HashMap<>());
-            if (!d1.isEmpty()) {
-                featureMap.put("d1_exp", Double.parseDouble(d1.getOrDefault("exp", "0")));
-                featureMap.put("d1_return_n", Double.parseDouble(d1.getOrDefault("return_n", "0")));
-                featureMap.put("d1_rovn", Double.parseDouble(d1.getOrDefault("rovn", "0")));
-            }
-            // ******************** new feature ********************
-            addVideoStatFeature(vid, featureOriginVideo, featureMap);
-            //addVideoCFFeature(vid, featureOriginVideo, featureMap);
-            addVideoSimFeature(headVideoInfo, videoInfo, featureMap);
+            Map<String, Double> featureMap = new HashMap<>();
+            Map<String, String> v1Feature = videoBaseInfoMap.getOrDefault(vidStr, new HashMap<>()).getOrDefault("alg_vid_feature_basic_info", new HashMap<>());
+            Map<String, Map<String, String>> videoFeatureMap = featureOriginVideo.getOrDefault(vidStr, new HashMap<>());
+            Map<String, String> b1 = videoFeatureMap.getOrDefault("alg_vid_global_feature_20250212", new HashMap<>());
+            Map<String, String> b2 = videoFeatureMap.getOrDefault("alg_vid_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b3 = videoFeatureMap.getOrDefault("alg_vid_recommend_flowpool_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b4 = videoFeatureMap.getOrDefault("alg_vid_apptype_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b5 = videoFeatureMap.getOrDefault("alg_vid_province_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b6 = videoFeatureMap.getOrDefault("alg_vid_brand_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b7 = videoFeatureMap.getOrDefault("alg_vid_hotsencetype_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b8 = videoFeatureMap.getOrDefault("alg_merge_cate1_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b9 = videoFeatureMap.getOrDefault("alg_merge_cate2_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b10 = videoFeatureMap.getOrDefault("alg_channel_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b11 = videoFeatureMap.getOrDefault("alg_festive_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b12 = videoFeatureMap.getOrDefault("alg_vid_long_period_recommend_exp_feature_20250212", new HashMap<>());
+            Map<String, String> b13 = videoFeatureMap.getOrDefault("alg_video_unionid_recommend_exp_feature_20250212", new HashMap<>());
+
+            Map<String, String> c2 = videoFeatureMap.getOrDefault("mid_merge_cate1_feature_20250212", new HashMap<>());
+            Map<String, String> c3 = videoFeatureMap.getOrDefault("mid_merge_cate2_feature_20250212", new HashMap<>());
+
+            Map<String, String> d1 = videoFeatureMap.getOrDefault("scene_type_vid_cf_feature_20250212", new HashMap<>());
+            Map<String, String> d2 = videoFeatureMap.getOrDefault("vid_click_cf_feature_20250212", new HashMap<>());
+            Map<String, String> d3 = videoFeatureMap.getOrDefault("alg_recsys_feature_cf_i2i_v2", new HashMap<>());
+
+            Map<String, Map<String, String>> b2ToB11AndB13Map = new HashMap<>();
+            b2ToB11AndB13Map.put("b2", b2);
+            b2ToB11AndB13Map.put("b3", b3);
+            b2ToB11AndB13Map.put("b4", b4);
+            b2ToB11AndB13Map.put("b5", b5);
+            b2ToB11AndB13Map.put("b6", b6);
+            b2ToB11AndB13Map.put("b7", b7);
+            b2ToB11AndB13Map.put("b8", b8);
+            b2ToB11AndB13Map.put("b9", b9);
+            b2ToB11AndB13Map.put("b10", b10);
+            b2ToB11AndB13Map.put("b11", b11);
+            b2ToB11AndB13Map.put("b13", b13);
+
+            ExtractFeature20250218.handleB1(b1, featureMap);
+            ExtractFeature20250218.handleB12(b12, featureMap);
+            ExtractFeature20250218.handleB2ToB11AndB13(b2ToB11AndB13Map, featureMap);
+            ExtractFeature20250218.handleC2ToC3(c2, c3, featureMap);
+            ExtractFeature20250218.useC7ToC8(c78FeatureMap, vidStr, featureMap);
+            ExtractFeature20250218.handleC5ToC6(c5, c6, v1Feature, featureMap);
+            ExtractFeature20250218.handleD1(d1, featureMap);
+            ExtractFeature20250218.handleD2(d2, featureMap);
+            ExtractFeature20250218.handleD3(d3, featureMap);
+            ExtractFeature20250218.handleVideoBasicFeature(v1Feature, ts, featureMap);
+            ExtractFeature20250218.handleVideoSimilarity(v1Feature, headVideoInfo, featureMap);
 
             item.featureMapDouble = featureMap;
         }
 
         // 3 连续值特征分桶
-        Map<String, String> userFeatureMap = FeatureBucketUtils.bucketFeature("20241209_rov_bucket.txt", userFeatureMapDouble);
+        Map<String, String> userFeatureMap = FeatureBucketUtils.bucketFeatureV2("20250218_bucket_322.txt", userFeatureMapDouble);
         for (RankItem item : rankItems) {
             Map<String, Double> featureMapDouble = item.featureMapDouble;
-            item.featureMap = FeatureBucketUtils.bucketFeature("20241209_rov_bucket.txt", featureMapDouble);
+            item.featureMap = FeatureBucketUtils.bucketFeatureV2("20250218_bucket_322.txt", featureMapDouble);
         }
-        // 4 排序模型计算
+
+
+        // 4.1 排序模型计算 - str
         Map<String, String> sceneFeatureMap = new HashMap<>(0);
-        List<RankItem> items = ScorerUtils.getScorerPipeline("feeds_score_config_xgb_rov_20241209.conf").scoring(sceneFeatureMap, userFeatureMap, rankItems);
+        List<RankItem> items = ScorerUtils.getScorerPipeline("feeds_score_config_xgb_str_20250228.conf").scoring(sceneFeatureMap, userFeatureMap, rankItems);
+
+        // 4.2 排序模型计算 - ros
+        this.addRosScore(rankItems, userFeatureMapDouble, sceneFeatureMap);
+
         // 5 排序公式特征
-        Map<String, Map<String, String>> vid2MapFeature = this.getVideoRedisFeature(vids, "redis:vid_hasreturn_vor:");
+        double xgbRovNegRate = mergeWeight.getOrDefault("xgbRovNegRate", 0.05);
+        double calcVorMode = mergeWeight.getOrDefault("calc_vor_mode", 1d);
+
+        Map<String, Map<String, String>> vid2MapFeature = this.getVideoRedisFeature(vids, "redis:vid_hasreturn_vor_4share:");
         List<Video> result = new ArrayList<>();
         for (RankItem item : items) {
             double score;
             double fmRovOrigin = item.getScoreRov();
             item.getScoresMap().put("fmRovOrigin", fmRovOrigin);
-            double fmRov = restoreScore(fmRovOrigin);
+            double fmRov = restoreScore(fmRovOrigin, xgbRovNegRate);
             item.getScoresMap().put("fmRov", fmRov);
-            double hasReturnRovScore = Double.parseDouble(vid2MapFeature.getOrDefault(item.getVideoId() + "", new HashMap<>()).getOrDefault("rov", "0"));
-            item.getScoresMap().put("hasReturnRovScore", hasReturnRovScore);
-            double vor = Double.parseDouble(vid2MapFeature.getOrDefault(item.getVideoId() + "", new HashMap<>()).getOrDefault("vor", "0"));
-            item.getScoresMap().put("vor", vor);
-            score = fmRov * (0.1 + hasReturnRovScore) * (0.1 + vor);
+            item.getScoresMap().put("xgbRovNegRate", xgbRovNegRate);
+
+
+            Map<String, String> vidFeatureMap = vid2MapFeature.getOrDefault(String.valueOf(item.getVideoId()), new HashMap<>());
+
+            double vor24h = Double.parseDouble(vidFeatureMap.getOrDefault("vor_24h", "0"));
+            if (calcVorMode == 1d) {
+                vor24h = ExtractorUtils.calLog(vor24h);
+            } else if (calcVorMode == 2d) {
+                double vorCoefficient = mergeWeight.getOrDefault("vor_coefficient", 1d);
+                vor24h = vorCoefficient * vor24h;
+            }
+
+            double originScoreRos = item.getScoreRos();
+            double scoreRos = ExtractorUtils.inverseLog(originScoreRos);
+
+
+            item.getScoresMap().put("hasReturnRovScore", scoreRos);
+            item.getScoresMap().put("vor", vor24h);
+            item.getScoresMap().put("calcVorMode", calcVorMode);
+            item.getScoresMap().put("RosXGBScore", originScoreRos);
+            score = fmRov * (0.1 + scoreRos) * (0.1 + vor24h);
+
+
             Video video = item.getVideo();
             video.setScore(score);
             video.setSortScore(score);
             video.setScoresMap(item.getScoresMap());
-            video.setAllFeatureMap(item.getAllFeatureMap());
+
+            Map<String, String> allFeatureMap = new HashMap<>();
+            item.getFeatureMapDouble().forEach((key, value) -> allFeatureMap.put(key, String.valueOf(value)));
+            video.setAllFeatureMap(allFeatureMap);
+
             if (MapUtils.isNotEmpty(feature.getVideoFeature()) && MapUtils.isNotEmpty(feature.getVideoFeature().get(item.getVideoId() + ""))) {
                 video.getMetaFeatureMap().putAll(feature.getVideoFeature().get(item.getVideoId() + ""));
             }
@@ -328,119 +249,43 @@ public class RankStrategy4RegionMergeModelV569 extends RankStrategy4RegionMergeM
             if (MapUtils.isNotEmpty(feature.getUserFeature())) {
                 video.getMetaFeatureMap().putAll(feature.getUserFeature());
             }
+
+            // 将空的特征表过滤
+            video.getMetaFeatureMap().entrySet().removeIf(e -> MapUtils.isNotEmpty(e.getValue()));
+
             result.add(video);
         }
         result.sort(Comparator.comparingDouble(o -> -o.getSortScore()));
-        return result;
-    }
 
-    private Map<String, String> getVideoOneTypeInfo(String vid, String name,
-                                                    Map<String, Map<String, Map<String, String>>> videoAllInfoMap) {
-        if (null == videoAllInfoMap) {
-            return new HashMap<>();
-        }
-        return videoAllInfoMap.getOrDefault(vid, new HashMap<>()).getOrDefault(name, new HashMap<>());
-    }
+        log.info("569 run time: {}", (System.currentTimeMillis() - startTime));
 
-    private double getVideoOneInfo(String name, Map<String, String> infoMap) {
-        if (null == infoMap) {
-            return 0.0;
-        }
-        return infoMap.isEmpty() ? 0 : Double.parseDouble(infoMap.getOrDefault(name, "0.0"));
+        return result;
     }
 
-    private void addVideoStatFeature(String vid, Map<String, Map<String, Map<String, String>>> videoAllInfoMap,
-                                     Map<String, Double> featureMap) {
-        List<Tuple3> vidStatInfo = Arrays.asList(
-                new Tuple3("b20", shortPeriod, getVideoOneTypeInfo(vid, "alg_cate2_feature", videoAllInfoMap)),
-                new Tuple3("b21", shortPeriod, getVideoOneTypeInfo(vid, "alg_cate1_feature", videoAllInfoMap)),
-                new Tuple3("b22", shortPeriod, getVideoOneTypeInfo(vid, "alg_vid_source_feature", videoAllInfoMap)),
-                new Tuple3("b28", shortPeriod, getVideoOneTypeInfo(vid, "alg_sence_type_feature", videoAllInfoMap)),
-                new Tuple3("b29", shortPeriod, getVideoOneTypeInfo(vid, "alg_videoid_feature", videoAllInfoMap)),
-                new Tuple3("b23", middlePeriod, getVideoOneTypeInfo(vid, "alg_cate2_feature_day", videoAllInfoMap)),
-                new Tuple3("b24", middlePeriod, getVideoOneTypeInfo(vid, "alg_cate1_feature_day", videoAllInfoMap)),
-                new Tuple3("b25", middlePeriod, getVideoOneTypeInfo(vid, "alg_video_source_feature_day", videoAllInfoMap)),
-                new Tuple3("b26", longPeriod, getVideoOneTypeInfo(vid, "alg_video_unionid_feature_day", videoAllInfoMap)),
-                new Tuple3("b27", longPeriod, getVideoOneTypeInfo(vid, "alg_vid_feature_day", videoAllInfoMap))
-        );
-        for (Tuple3 tuple3 : vidStatInfo) {
-            String infoType = tuple3.first;
-            List<String> infoPeriod = tuple3.second;
-            Map<String, String> infoMap = tuple3.third;
-            for (String period : infoPeriod) {
-                double share = getVideoOneInfo("share_" + period, infoMap);
-                double return_ = getVideoOneInfo("return_" + period, infoMap);
-                double view_hasreturn = getVideoOneInfo("view_hasreturn_" + period, infoMap);
-                double share_hasreturn = getVideoOneInfo("share_hasreturn_" + period, infoMap);
-                double ros = getVideoOneInfo("ros_" + period, infoMap);
-                double rov = getVideoOneInfo("rov_" + period, infoMap);
-                double r_cnt = getVideoOneInfo("r_cnt_" + period, infoMap);
-                double r_rate = getVideoOneInfo("r_rate_" + period, infoMap);
-                double r_cnt4s = getVideoOneInfo("r_cnt4s_" + period, infoMap);
-                double str = getVideoOneInfo("str_" + period, infoMap);
-
-                featureMap.put(infoType + "_" + period + "_" + "share", ExtractorUtils.calLog(share));
-                featureMap.put(infoType + "_" + period + "_" + "return", ExtractorUtils.calLog(return_));
-                featureMap.put(infoType + "_" + period + "_" + "view_hasreturn", ExtractorUtils.calLog(view_hasreturn));
-                featureMap.put(infoType + "_" + period + "_" + "share_hasreturn", ExtractorUtils.calLog(share_hasreturn));
-                featureMap.put(infoType + "_" + period + "_" + "ros", ros);
-                featureMap.put(infoType + "_" + period + "_" + "rov", rov);
-                featureMap.put(infoType + "_" + period + "_" + "r_cnt", r_cnt);
-                featureMap.put(infoType + "_" + period + "_" + "r_rate", r_rate);
-                featureMap.put(infoType + "_" + period + "_" + "r_cnt4s", r_cnt4s);
-                featureMap.put(infoType + "_" + period + "_" + "str", str);
-            }
+    /**
+     * ros模型打分
+     */
+    private void addRosScore(List<RankItem> rankItems, Map<String, Double> userFeatureMapDouble, Map<String, String> sceneFeatureMap) {
+        List<RankItem> rosRankItems = new ArrayList<>(rankItems.size());
+        for (RankItem rankItem : rankItems) {
+            RankItem rosRankItem = new RankItem(rankItem.getVideo());
+            rosRankItem.rosFeatureMap = FeatureBucketUtils.bucketFeatureV2("20250306_ros_bucket_229.txt", rankItem.featureMapDouble);
+            rosRankItems.add(rosRankItem);
         }
-    }
+        Map<String, String> userFeatureMap = FeatureBucketUtils.bucketFeatureV2("20250306_ros_bucket_229.txt", userFeatureMapDouble);
+        ScorerUtils.getScorerPipeline("feeds_score_config_xgb_ros_20250311.conf").scoring(sceneFeatureMap, userFeatureMap, rosRankItems);
 
-    private void addVideoCFFeature(String vid, Map<String, Map<String, Map<String, String>>> videoAllInfoMap,
-                                   Map<String, Double> featureMap) {
-        List<Tuple3> vidCFInfo = Arrays.asList(
-                new Tuple3("d2", cfRosList, getVideoOneTypeInfo(vid, "alg_recsys_feature_weak_cf_i2i_scene_ros", videoAllInfoMap)),
-                new Tuple3("d3", cfRosList, getVideoOneTypeInfo(vid, "alg_recsys_feature_cf_i2i_scene_ros", videoAllInfoMap)),
-                new Tuple3("d4", cfRovList, getVideoOneTypeInfo(vid, "alg_recsys_feature_weak_cf_i2i_scene_rov", videoAllInfoMap)),
-                new Tuple3("d5", cfRovList, getVideoOneTypeInfo(vid, "alg_recsys_feature_cf_i2i_scene_rov", videoAllInfoMap))
-        );
-        for (Tuple3 tuple3 : vidCFInfo) {
-            String infoType = tuple3.first;
-            List<String> valTypeList = tuple3.second;
-            Map<String, String> infoMap = tuple3.third;
-            if (!infoMap.isEmpty()) {
-                for (String valType : valTypeList) {
-                    double exp = getVideoOneInfo("exp", infoMap);
-                    double return_n = getVideoOneInfo("return_n", infoMap);
-                    double value = getVideoOneInfo(valType, infoMap);
-
-                    featureMap.put(infoType + "_exp", ExtractorUtils.calLog(exp));
-                    featureMap.put(infoType + "_return_n", ExtractorUtils.calLog(return_n));
-                    featureMap.put(infoType + "_" + valType, value);
-                }
-            }
+        // 将ros分数补充到之前的列表中
+        Map<Long, RankItem> vidRosMap = new HashMap<>(rosRankItems.size());
+        for (RankItem rosRankItem : rosRankItems) {
+            vidRosMap.put(rosRankItem.getVideoId(), rosRankItem);
         }
-    }
 
-    private void addVideoSimFeature(Map<String, String> headInfo, Map<String, String> rankInfo, Map<String, Double> featureMap) {
-        if (!headInfo.isEmpty() && !rankInfo.isEmpty()) {
-            List<Future<Pair<String, Double>>> futures = new ArrayList<>();
-            for (String attr : videoSimAttrs) {
-                String headAttr = headInfo.getOrDefault(attr, "");
-                String rankAttr = rankInfo.getOrDefault(attr, "");
-                if (!"".equals(headAttr) && !"".equals(rankAttr)) {
-                    String key = "video_sim_" + attr;
-                    Future<Pair<String, Double>> future = ThreadPoolFactory.defaultPool().submit(() -> {
-                        double simScore = SimilarityUtils.word2VecSimilarity(headAttr, rankAttr);
-                        return Pair.create(key, simScore);
-                    });
-                    futures.add(future);
-                }
-            }
-            try {
-                for (Future<Pair<String, Double>> future : futures) {
-                    Pair<String, Double> pair = future.get(1000, TimeUnit.MILLISECONDS);
-                    featureMap.put(pair.getFirst(), pair.getSecond());
-                }
-            } catch (Exception e) {
-                log.error("video attr similarity error", e);
+        for (RankItem rankItem : rankItems) {
+            if (vidRosMap.containsKey(rankItem.getVideoId())) {
+                RankItem rosRankItem = vidRosMap.get(rankItem.getVideoId());
+                rankItem.setScoreRos(rosRankItem.getScoreRos());
+                rankItem.getScoresMap().put("RosXGBScore", rosRankItem.getScoreRos());
             }
         }
     }

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/score/RosXGBRegressionScorer.java

@@ -0,0 +1,159 @@
+package com.tzld.piaoquan.recommend.server.service.score;
+
+import com.tzld.piaoquan.recommend.feature.domain.video.base.UserFeature;
+import com.tzld.piaoquan.recommend.server.common.base.RankItem;
+import com.tzld.piaoquan.recommend.server.service.score.model.XGBRegressionModel;
+import org.apache.commons.collections4.CollectionUtils;
+import org.apache.commons.collections4.MapUtils;
+import org.apache.commons.lang.exception.ExceptionUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.*;
+import java.util.concurrent.*;
+
+public class RosXGBRegressionScorer extends XGBRegressionModelScorer {
+    private static final int LOCAL_TIME_OUT = 150;
+    private final static Logger LOGGER = LoggerFactory.getLogger(RosXGBRegressionScorer.class);
+    private static final ExecutorService executorService = Executors.newFixedThreadPool(128);
+
+
+    public RosXGBRegressionScorer(ScorerConfigInfo configInfo) {
+        super(configInfo);
+    }
+
+    @Override
+    public List<RankItem> scoring(final ScoreParam param,
+                                  final UserFeature userFeature,
+                                  final List<RankItem> rankItems) {
+        throw new NoSuchMethodError();
+    }
+
+    @Override
+    public List<RankItem> scoring(final Map<String, String> sceneFeatureMap,
+                                  final Map<String, String> userFeatureMap,
+                                  final List<RankItem> rankItems) {
+        if (CollectionUtils.isEmpty(rankItems)) {
+            return rankItems;
+        }
+
+        long startTime = System.currentTimeMillis();
+        XGBRegressionModel model = (XGBRegressionModel) this.getModel();
+        LOGGER.debug("model size: [{}]", model.getModelSize());
+
+        List<RankItem> result = rankByJava(
+                sceneFeatureMap, userFeatureMap, rankItems
+        );
+
+        LOGGER.debug("ros ranker time java items size={}, time={} ", result != null ? result.size() : 0,
+                System.currentTimeMillis() - startTime);
+
+        return result;
+    }
+
+    private List<RankItem> rankByJava(final Map<String, String> sceneFeatureMap,
+                                      final Map<String, String> userFeatureMap,
+                                      final List<RankItem> items) {
+        long startTime = System.currentTimeMillis();
+        XGBRegressionModel model = (XGBRegressionModel) this.getModel();
+
+        // 所有都参与打分，按照ctr排序
+        multipleCtrScore(items, userFeatureMap, sceneFeatureMap, model);
+
+        // debug log
+        if (LOGGER.isDebugEnabled()) {
+            for (int i = 0; i < items.size(); i++) {
+                LOGGER.debug("before enter feeds model predict nor score [{}] [{}]", items.get(i), items.get(i));
+            }
+        }
+
+        Collections.sort(items);
+
+        LOGGER.debug("ros ranker java execute time: [{}]", System.currentTimeMillis() - startTime);
+        LOGGER.debug("[ros ranker time java] items size={}, cost={} ", items != null ? items.size() : 0,
+                System.currentTimeMillis() - startTime);
+        return items;
+    }
+
+    private void multipleCtrScore(final List<RankItem> items,
+                                  final Map<String, String> userFeatureMap,
+                                  final Map<String, String> sceneFeatureMap,
+                                  final XGBRegressionModel model) {
+
+        List<Callable<Object>> calls = new ArrayList<Callable<Object>>();
+        for (int index = 0; index < items.size(); index++) {
+            final int fIndex = index;
+            calls.add(new Callable<Object>() {
+                @Override
+                public Object call() throws Exception {
+                    try {
+                        calcScore(model, items.get(fIndex), userFeatureMap, sceneFeatureMap);
+                    } catch (Exception e) {
+                        LOGGER.error("nor exception: [{}] [{}]", items.get(fIndex).videoId, ExceptionUtils.getFullStackTrace(e));
+                    }
+                    return new Object();
+                }
+            });
+        }
+
+        List<Future<Object>> futures = null;
+        try {
+            futures = executorService.invokeAll(calls, LOCAL_TIME_OUT, TimeUnit.MILLISECONDS);
+        } catch (InterruptedException e) {
+            LOGGER.error("execute invoke fail: {}", ExceptionUtils.getFullStackTrace(e));
+        }
+
+        // 等待所有请求的结果返回, 超时也返回
+        int cancel = 0;
+        if (futures != null) {
+            for (Future<Object> future : futures) {
+                try {
+                    if (!future.isDone() || future.isCancelled() || future.get() == null) {
+                        cancel++;
+                    }
+                } catch (InterruptedException e) {
+                    LOGGER.error("InterruptedException {},{}", ExceptionUtils.getFullStackTrace(e));
+                } catch (ExecutionException e) {
+                    LOGGER.error("ExecutionException {},{}", sceneFeatureMap.size(),
+                            ExceptionUtils.getFullStackTrace(e));
+                }
+            }
+        }
+    }
+
+    public double calcScore(final XGBRegressionModel model,
+                            final RankItem item,
+                            final Map<String, String> userFeatureMap,
+                            final Map<String, String> sceneFeatureMap) {
+        Map<String, String> featureMap = new HashMap<>();
+        if (MapUtils.isNotEmpty(item.getRosFeatureMap())) {
+            featureMap.putAll(item.getRosFeatureMap());
+        }
+        if (MapUtils.isNotEmpty(userFeatureMap)) {
+            featureMap.putAll(userFeatureMap);
+        }
+        if (MapUtils.isNotEmpty(sceneFeatureMap)) {
+            featureMap.putAll(sceneFeatureMap);
+        }
+
+        double pro = 0.0;
+        if (MapUtils.isNotEmpty(featureMap)) {
+            try {
+                pro = model.score(featureMap);
+                // LOGGER.info("fea : {}, score:{}", JSONUtils.toJson(featureMap), pro);
+            } catch (Exception e) {
+                LOGGER.error("score error for doc={} exception={}", item.getVideoId(), ExceptionUtils.getFullStackTrace(e));
+            }
+        }
+
+        if (pro < 0) {
+            pro = 0.0;
+        } else if (pro > 3) {
+            pro = 3;
+        }
+
+        item.setScoreRos(pro);
+        item.getScoresMap().put("RosXGBScore", pro);
+        return pro;
+    }
+}

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/score/ScorerUtils.java

@@ -39,13 +39,14 @@ public final class ScorerUtils {
         ScorerUtils.init("feeds_score_config_xgb_20250109.conf");
         ScorerUtils.init("feeds_score_config_xgb_rov_20241209.conf");
         ScorerUtils.init("feeds_score_config_xgb_rov_20250109.conf");
-        ScorerUtils.init("feeds_score_config_xgb_rov_20250228.conf");
+        ScorerUtils.init("feeds_score_config_xgb_str_20250228.conf");
+        ScorerUtils.init("feeds_score_config_xgb_ros_20250311.conf");
         ScorerUtils.init4Recall("feeds_recall_config_region_v1.conf");
         ScorerUtils.init4Recall("feeds_recall_config_region_ros.conf");
         ScorerUtils.init4Recall("feeds_score_config_bless.conf");
         ScorerUtils.init4Recall("feeds_recall_config_tomson.conf");
         ScorerUtils.init4Recall("feeds_recall_config_region_v7_longterm.conf");
-        List<String> bucketFileList = Arrays.asList("20241209_rov_bucket.txt", "20241209_nor_bucket.txt", "20250218_bucket_322.txt");
+        List<String> bucketFileList = Arrays.asList("20241209_rov_bucket.txt", "20241209_nor_bucket.txt", "20250218_bucket_322.txt", "20250306_ros_bucket_229.txt");
         FeatureBucketUtils.init(bucketFileList);
         FestiveUtil.init();
     }

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/util/ExtractFeature20250218.java

@@ -192,11 +192,16 @@ public class ExtractFeature20250218 {
         Map<String, Map<String, String>> featureMaps = new HashMap<>();
         featureMaps.put("c7", c7Feature);
         featureMaps.put("c8", c8Feature);
+
         List<String> indexList = Arrays.asList("share", "return");
+
         for (Map.Entry<String, Map<String, String>> entry : featureMaps.entrySet()) {
-            String key = entry.getKey();
             Map<String, String> feature = entry.getValue();
+
             for (String index : indexList) {
+
+                String key = entry.getKey() + "_" + index;
+
                 if (feature.containsKey(index)) {
                     Map<String, String[]> cfMap = new HashMap<>();
                     String[] entries = feature.get(index).split(",");
@@ -223,11 +228,11 @@ public class ExtractFeature20250218 {
         if (StringUtils.isBlank(vid)) {
             return;
         }
-        for (String key : Arrays.asList("c6", "c7")) {
+        for (String key : Arrays.asList("c7", "c8")) {
             for (String action : Arrays.asList("share", "return")) {
                 String featureKey = key + "_" + action;
-                if (map.containsKey(featureKey)) {
-                    Map<String, String[]> cfMap = map.get(featureKey);
+                Map<String, String[]> cfMap = map.getOrDefault(featureKey, new HashMap<>());
+                if (cfMap.containsKey(vid)) {
                     String[] scores = cfMap.get(vid);
                     featureMap.put(featureKey + "_score", Double.parseDouble(scores[0]));
                     featureMap.put(featureKey + "_num", Double.parseDouble(scores[1]));

recommend-server-service/src/main/resources/20250306_ros_bucket_229.txt

@@ -0,0 +1,229 @@
+c1_ros_minus_168h	100	1.066667,1.1,1.129032,1.16,1.181818,1.2,1.222222,1.25,1.285714,1.333333,1.375,1.4,1.428571,1.487805,1.5,1.545455,1.6,1.631579,1.666667,1.75,1.777778,1.833333,1.9,2.0,2.125,2.2,2.285714,2.333333,2.444444,2.5,2.571429,2.666667,2.777778,3.0,3.181818,3.333333,3.5,3.666667,3.875,4.0,4.333333,4.5,5.0,5.4,5.892857,6.0,6.785714,7.321429,8.0,9.0,10.6,13.0,17.5,310.0
+c1_ros_minus_24h	100	1.117647,1.166667,1.2,1.25,1.333333,1.4,1.5,1.6,1.666667,1.75,1.888889,2.0,2.064516,2.25,2.333333,2.5,2.666667,3.0,3.333333,3.5,4.0,4.5,5.0,5.5,6.0,7.0,7.5,9.0,11.0,15.0,278.0
+c1_ros_minus_72h	100	1.0625,1.111111,1.142857,1.166667,1.2,1.225806,1.25,1.266667,1.315789,1.333333,1.4,1.428571,1.5,1.555556,1.6,1.666667,1.75,1.777778,1.833333,2.0,2.2,2.285714,2.333333,2.5,2.625,2.75,2.95,3.0,3.125,3.333333,3.5,3.666667,4.0,4.066667,4.5,4.785714,5.0,5.333333,6.0,6.142857,7.0,7.666667,8.6,10.0,12.0,17.0,310.0
+c1_ros_one_12h	100	0.043478,0.060606,0.075,0.086957,0.1,0.111111,0.117647,0.125,0.142857,0.15625,0.166667,0.181818,0.2,0.214286,0.230769,0.25,0.257143,0.285714,0.314286,0.333333,0.363636,0.380952,0.4,0.428571,0.444444,0.5,0.545455,0.571429,0.6,0.625,0.666667,0.7,0.75,0.8,0.833333,0.882353,1.0,1.03125,1.166667,1.25,1.333333,1.4,1.5,1.666667,1.777778,2.0,2.25,2.5,2.777778,3.0,3.2,3.8,4.0,5.0,6.0,9.0,162.0
+c1_ros_one_168h	100	0.052013,0.076923,0.095238,0.111111,0.125,0.142857,0.162162,0.166667,0.189189,0.2,0.211111,0.227273,0.25,0.25523,0.275,0.285714,0.305085,0.327103,0.333333,0.357143,0.375,0.389831,0.4,0.416667,0.428571,0.446043,0.466667,0.5,0.533333,0.555556,0.571429,0.6,0.606061,0.62963,0.666667,0.695652,0.714286,0.75,0.785714,0.8,0.833333,0.863636,0.9,0.941176,1.0,1.090909,1.142857,1.1875,1.238095,1.285714,1.333333,1.375,1.4375,1.5,1.6,1.666667,1.75,1.857143,2.0,2.08,2.25,2.375,2.5,2.666667,2.947368,3.0,3.225,3.5,3.925926,4.1,4.666667,5.111111,6.0,7.0,9.0,12.5,235.0
+c1_ros_one_24h	100	0.047619,0.066667,0.08,0.090909,0.107143,0.117647,0.125,0.142857,0.148148,0.166667,0.181818,0.2,0.222222,0.24,0.25,0.266667,0.285714,0.296296,0.317073,0.333333,0.363636,0.375,0.4,0.428571,0.444444,0.466667,0.5,0.533333,0.571429,0.6,0.636364,0.666667,0.710526,0.75,0.8,0.833333,0.861111,0.928571,1.0,1.090909,1.166667,1.25,1.333333,1.478261,1.5,1.533333,1.666667,1.75,2.0,2.125,2.333333,2.5,2.8,3.0,3.5,4.0,4.333333,5.0,6.0,7.5,11.0,235.0
+c1_ros_one_72h	100	0.04878,0.071429,0.090909,0.103774,0.119048,0.133333,0.142857,0.166667,0.184211,0.2,0.222222,0.235294,0.25,0.272727,0.285714,0.304348,0.333333,0.341463,0.363636,0.380952,0.4,0.428571,0.444444,0.461538,0.5,0.533333,0.555556,0.576923,0.6,0.615385,0.642857,0.666667,0.714286,0.742857,0.75,0.777778,0.8,0.833333,0.866667,0.909091,1.0,1.111111,1.166667,1.222222,1.272727,1.333333,1.375,1.454545,1.5,1.625,1.692308,1.8,2.0,2.172414,2.333333,2.5,2.666667,3.0,3.25,3.6,4.0,4.333333,5.0,5.666667,6.8,8.333333,12.0,235.0
+b13_str_one_24h	100	0.01606,0.017934,0.019671,0.020826,0.021735,0.022442,0.022952,0.023364,0.023731,0.023972,0.024213,0.024568,0.024884,0.025311,0.025641,0.02586,0.02623,0.026565,0.026899,0.027227,0.027502,0.027723,0.027875,0.02805,0.028305,0.028536,0.028824,0.02906,0.029279,0.029484,0.029635,0.029864,0.030066,0.030294,0.030499,0.030848,0.03123,0.031715,0.031998,0.032516,0.032999,0.033295,0.033687,0.033952,0.034341,0.034909,0.035605,0.036321,0.036857,0.037546,0.03801,0.038479,0.038973,0.039409,0.039758,0.039955,0.040236,0.040517,0.041062,0.041654,0.04252,0.043071,0.043617,0.044459,0.045371,0.045838,0.046346,0.04707,0.047569,0.047985,0.048477,0.049039,0.049391,0.049836,0.050436,0.051012,0.051644,0.052297,0.053452,0.054268,0.05501,0.055415,0.055946,0.05648,0.057276,0.058095,0.058678,0.059426,0.059926,0.060778,0.061295,0.061701,0.063719,0.067116,0.069408,0.072713,0.074598,0.082144,1.0
+b13_str_one_3h	100	0.013734,0.016308,0.017986,0.019355,0.020386,0.02116,0.021755,0.022321,0.022932,0.023331,0.023742,0.024088,0.024543,0.025,0.025331,0.025735,0.026157,0.026533,0.02684,0.027151,0.027555,0.027927,0.028177,0.028511,0.028863,0.029234,0.029586,0.029925,0.030296,0.03061,0.03099,0.03136,0.031637,0.03195,0.032335,0.032692,0.033094,0.033442,0.033728,0.033993,0.034403,0.034824,0.035139,0.035645,0.036068,0.036399,0.036906,0.037188,0.037561,0.03782,0.03815,0.038408,0.038739,0.039143,0.039453,0.039905,0.040295,0.040815,0.041469,0.042016,0.042408,0.043126,0.043662,0.043977,0.044572,0.0452,0.045939,0.046549,0.047262,0.047859,0.048614,0.049354,0.050081,0.050585,0.051201,0.052068,0.052712,0.053353,0.053907,0.054455,0.055335,0.056045,0.056833,0.057377,0.058288,0.058824,0.059773,0.060869,0.062352,0.063988,0.066508,0.067982,0.069699,0.071392,0.074216,0.078731,0.082117,0.087532,1.0
+c1_click_12h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,13.0,16.0,21.0,332.0
+c1_click_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,17.0,18.0,19.0,21.0,22.0,23.0,25.0,26.0,28.0,31.0,33.0,37.0,40.0,45.0,51.0,59.0,69.0,87.0,124.0,3155.0
+c1_click_24h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,16.0,19.0,23.0,31.0,683.0
+c1_click_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,18.0,19.0,21.0,23.0,25.0,28.0,32.0,38.0,47.0,65.0,1804.0
+c1_return_1_uv_12h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,17.0,19.0,22.0,26.0,35.0,267.0
+b6_ros_minus_24h	100	1.0,1.166667,1.285714,1.388889,1.496503,1.514124,1.596639,1.666667,1.704545,1.757576,1.809524,1.860759,1.910714,1.965184,2.0,2.05,2.095238,2.140625,2.17757,2.216667,2.252427,2.292637,2.323596,2.35514,2.394272,2.424345,2.454936,2.48365,2.508091,2.535354,2.564845,2.594595,2.623679,2.654321,2.683507,2.717391,2.75,2.779197,2.817204,2.846277,2.879781,2.919192,2.96,2.99624,3.010256,3.04918,3.084746,3.128258,3.172028,3.214286,3.253968,3.294574,3.337449,3.379941,3.42229,3.466436,3.5,3.539078,3.575,3.608696,3.645833,3.683673,3.719201,3.75,3.785424,3.819219,3.851796,3.883216,3.916004,3.945607,3.98524,4.010989,4.048007,4.08832,4.129213,4.174694,4.22093,4.266439,4.328889,4.382561,4.439834,4.5,4.570776,4.665882,4.764246,4.890785,5.0,5.154092,5.313082,5.535032,5.824176,6.058995,6.32888,6.544391,7.0,174.0
+b6_ros_one_24h	100	0.152672,0.2,0.25,0.28181,0.3125,0.333333,0.363636,0.392405,0.416667,0.443662,0.465578,0.487805,0.5,0.521739,0.540541,0.561798,0.582604,0.6,0.62037,0.639769,0.656929,0.671299,0.691704,0.709169,0.727034,0.744557,0.760981,0.777778,0.793785,0.809077,0.826357,0.843198,0.859992,0.877333,0.895833,0.913907,0.933333,0.954785,0.972232,0.989362,1.0,1.016129,1.039126,1.060406,1.078021,1.097455,1.119182,1.136962,1.157651,1.179167,1.195517,1.216086,1.235521,1.260417,1.285094,1.307692,1.330463,1.352526,1.376437,1.398782,1.418502,1.439252,1.459659,1.48363,1.505037,1.525944,1.547592,1.57072,1.587245,1.604367,1.622512,1.64053,1.660539,1.675,1.69697,1.714634,1.731031,1.754381,1.772727,1.793169,1.814879,1.84,1.860684,1.889844,1.92126,1.947678,1.976471,2.0,2.040821,2.094662,2.162189,2.24169,2.361619,2.5,2.661802,2.803162,2.976493,3.143191,168.0
+b6_rovn_24h	100	0.00495,0.007092,0.008929,0.010574,0.012048,0.013409,0.014623,0.015753,0.016822,0.017822,0.018757,0.019647,0.020548,0.021484,0.022293,0.023179,0.024066,0.024829,0.025577,0.026328,0.027149,0.027888,0.028744,0.029427,0.030201,0.030911,0.031574,0.032258,0.032904,0.033579,0.034209,0.034874,0.035599,0.036266,0.03691,0.037518,0.038174,0.038764,0.039408,0.039974,0.040556,0.041181,0.041684,0.042316,0.042861,0.043383,0.043909,0.044476,0.045027,0.045581,0.046188,0.046682,0.047237,0.047832,0.048361,0.048878,0.049435,0.049985,0.050539,0.051123,0.051772,0.052427,0.053047,0.053651,0.054275,0.054945,0.055648,0.056334,0.057084,0.05777,0.058528,0.059259,0.060085,0.060839,0.06165,0.0625,0.063486,0.064289,0.06515,0.066001,0.066911,0.067859,0.068998,0.070036,0.071026,0.072065,0.073235,0.07434,0.075357,0.0766,0.077809,0.079144,0.080899,0.083546,0.08773,0.09071,0.099672,0.111927,68.0
+b6_str_one_24h	100	0.01321,0.016393,0.018182,0.019666,0.020812,0.021706,0.022402,0.02295,0.023418,0.023792,0.024176,0.02454,0.02496,0.02535,0.025705,0.026084,0.026417,0.026761,0.02704,0.027335,0.027574,0.027848,0.028127,0.028409,0.028676,0.028914,0.029163,0.029412,0.029622,0.029848,0.03011,0.030327,0.030585,0.030852,0.031207,0.031579,0.031981,0.03236,0.032795,0.033237,0.03366,0.034163,0.034647,0.03511,0.035601,0.036136,0.036683,0.037196,0.037689,0.038169,0.038714,0.039146,0.039646,0.040031,0.040496,0.041027,0.041601,0.042074,0.042636,0.043205,0.043754,0.044264,0.044849,0.045431,0.046053,0.046716,0.047449,0.048152,0.048633,0.049075,0.049688,0.050238,0.050732,0.051282,0.051837,0.052419,0.053037,0.053687,0.054315,0.055112,0.055839,0.05667,0.057485,0.058288,0.059,0.059805,0.060599,0.061323,0.062136,0.063034,0.064294,0.065865,0.068,0.070515,0.073171,0.076091,0.081353,0.088762,1.0
+b7_return_n_uv_24h	100	2.0,3.0,6.0,9.0,12.0,15.0,20.0,25.0,30.0,37.0,44.0,51.0,60.0,71.0,83.0,96.0,111.0,127.0,149.0,172.0,196.0,222.0,253.0,293.0,332.0,375.0,424.0,477.0,536.0,600.0,676.0,789.0,866.0,981.0,1106.0,1245.0,1412.0,1607.0,1837.0,2052.0,2299.0,2500.0,2683.0,2900.0,3133.0,3404.0,3591.0,3811.0,4018.0,4207.0,4445.0,4682.0,4883.0,5067.0,5267.0,5502.0,5778.0,6025.0,6308.0,6559.0,6793.0,7024.0,7255.0,7628.0,7925.0,8236.0,8666.0,9121.0,9498.0,9943.0,10452.0,10998.0,11561.0,12245.0,12895.0,13628.0,14306.0,15065.0,16229.0,17248.0,18223.0,19067.0,20742.0,21920.0,23252.0,24597.0,26382.0,29054.0,31930.0,35536.0,37961.0,40938.0,46465.0,50037.0,53669.0,57681.0,67116.0,77350.0,101700.0
+b7_ros_24h	100	0.113445,0.147199,0.168539,0.184524,0.19875,0.210928,0.224719,0.239316,0.25,0.261168,0.271592,0.282468,0.291667,0.30273,0.313552,0.322686,0.333333,0.341113,0.350604,0.360731,0.36803,0.375948,0.385323,0.392857,0.400427,0.409091,0.419857,0.429185,0.437971,0.448029,0.458073,0.469958,0.478084,0.487685,0.498934,0.504515,0.512755,0.521714,0.529686,0.539326,0.547748,0.556793,0.564397,0.575296,0.586062,0.593487,0.603901,0.611111,0.621398,0.632281,0.645675,0.653948,0.662853,0.67356,0.687648,0.703125,0.716791,0.730159,0.741931,0.751155,0.763809,0.777202,0.787234,0.797081,0.808366,0.818602,0.833631,0.849421,0.864673,0.87723,0.893612,0.909091,0.924324,0.939986,0.961528,0.983699,1.0,1.021824,1.053231,1.079953,1.111973,1.135479,1.15621,1.185177,1.217955,1.240536,1.256485,1.290842,1.321323,1.358288,1.406672,1.453607,1.51173,1.562652,1.624365,1.749367,1.924656,2.103613,24.333333
+b7_ros_minus_24h	100	1.0,1.12,1.285714,1.397727,1.478261,1.529412,1.597403,1.643939,1.688551,1.729167,1.769231,1.811321,1.856678,1.894737,1.94,1.984375,2.0,2.033557,2.066667,2.098592,2.132095,2.166667,2.2,2.230769,2.255929,2.279115,2.304207,2.333333,2.352155,2.372439,2.398249,2.424168,2.451247,2.484848,2.513158,2.551871,2.591437,2.62181,2.65285,2.679927,2.715008,2.747956,2.777778,2.803487,2.826087,2.85209,2.885714,2.91793,2.954312,2.981268,3.000351,3.042698,3.084129,3.115824,3.160241,3.198456,3.229339,3.261196,3.286829,3.326154,3.356949,3.379726,3.405707,3.428015,3.462687,3.5,3.544776,3.581067,3.626723,3.678493,3.734653,3.788611,3.83871,3.887251,3.954079,4.017828,4.076972,4.139233,4.196274,4.254516,4.315641,4.377068,4.431611,4.489558,4.542931,4.607039,4.666667,4.765001,4.846154,4.961949,5.076923,5.271787,5.474058,5.604377,5.785156,6.1,6.610045,7.294924,73.0
+b2_ros_24h	100	0.131313,0.167002,0.188679,0.20985,0.225564,0.236538,0.25,0.262751,0.274644,0.285714,0.297143,0.306943,0.316233,0.325222,0.333333,0.344966,0.352828,0.36,0.369135,0.381706,0.390452,0.398693,0.407692,0.416244,0.425974,0.433048,0.439845,0.448276,0.456929,0.464286,0.474157,0.482079,0.490758,0.5,0.510215,0.520231,0.532252,0.540759,0.551205,0.561806,0.572528,0.582375,0.590249,0.598905,0.609222,0.617752,0.626506,0.636725,0.651518,0.664647,0.670979,0.680191,0.690517,0.703902,0.714286,0.71886,0.732297,0.740872,0.754011,0.767031,0.779304,0.792952,0.802516,0.816719,0.826957,0.8391,0.850124,0.864676,0.876674,0.891126,0.907476,0.924183,0.941931,0.954905,0.963471,0.974504,0.983386,0.998525,1.011406,1.028759,1.045416,1.071376,1.088338,1.106334,1.119761,1.135315,1.152886,1.174601,1.205786,1.235815,1.269764,1.310535,1.356838,1.421005,1.489805,1.564252,1.591789,1.66788,19.5
+b2_ros_3h	100	0.045685,0.058282,0.071563,0.082949,0.092382,0.1,0.108749,0.115995,0.125,0.132692,0.140808,0.148221,0.15353,0.159446,0.165354,0.16996,0.175676,0.179487,0.185047,0.188129,0.191802,0.197452,0.202435,0.209026,0.211609,0.215709,0.220096,0.224551,0.228814,0.233902,0.239583,0.24552,0.25,0.254514,0.259494,0.264591,0.268858,0.273848,0.277069,0.281537,0.286769,0.291008,0.295352,0.300178,0.304805,0.307635,0.310899,0.315434,0.319635,0.323984,0.329268,0.333333,0.338218,0.34375,0.350363,0.354523,0.359201,0.365298,0.369729,0.374805,0.382311,0.388107,0.395683,0.401621,0.408202,0.412626,0.418546,0.423721,0.428913,0.434434,0.440994,0.446671,0.452544,0.460411,0.466785,0.472222,0.480287,0.486364,0.492395,0.501021,0.508571,0.517073,0.529609,0.537058,0.551511,0.560353,0.575172,0.583678,0.594498,0.612223,0.622764,0.642857,0.665216,0.689646,0.720721,0.766464,0.817518,0.885079,19.0
+b2_ros_minus_24h	100	1.0,1.3125,1.466667,1.536585,1.622222,1.677419,1.722467,1.777778,1.818182,1.860465,1.898876,1.949102,1.990102,2.003145,2.040936,2.080903,2.119215,2.152682,2.181818,2.220243,2.25286,2.284513,2.318667,2.344671,2.378576,2.415918,2.440333,2.466187,2.488646,2.505415,2.531469,2.551272,2.56338,2.585629,2.612928,2.636364,2.660925,2.690247,2.725,2.756413,2.784742,2.809524,2.845747,2.880347,2.919192,2.954273,2.985019,3.008349,3.034506,3.063158,3.102674,3.146621,3.191114,3.221029,3.247919,3.280818,3.344886,3.388535,3.431818,3.482781,3.516211,3.556551,3.595928,3.629776,3.654057,3.698819,3.722497,3.753521,3.77051,3.8,3.816139,3.846203,3.875355,3.902829,3.926518,3.953514,3.98096,4.020413,4.054426,4.118682,4.178575,4.240552,4.283089,4.325405,4.388239,4.435881,4.495282,4.56934,4.695416,4.774593,4.888436,5.026902,5.210648,5.381997,5.648697,5.990468,6.311048,6.527315,54.0
+b2_ros_minus_3h	100	1.0,1.09887,1.146067,1.1875,1.235294,1.267176,1.296296,1.333333,1.350649,1.375,1.401786,1.430556,1.454545,1.484772,1.5,1.528871,1.550992,1.58002,1.59375,1.61165,1.625,1.646377,1.666667,1.684615,1.706667,1.727273,1.747454,1.764228,1.776855,1.791045,1.807018,1.823529,1.836842,1.857143,1.873239,1.891667,1.904202,1.924855,1.948317,1.968601,1.985663,2.0,2.021692,2.041227,2.059701,2.075117,2.096601,2.114754,2.125,2.142857,2.159002,2.176471,2.192685,2.203422,2.217391,2.232459,2.254083,2.271474,2.283237,2.303212,2.31923,2.336224,2.357447,2.375,2.394928,2.418445,2.434883,2.450221,2.460234,2.476577,2.5,2.525424,2.552822,2.57827,2.60242,2.630412,2.650618,2.685272,2.706667,2.729818,2.759036,2.8,2.837838,2.888365,2.943925,3.0,3.054217,3.121951,3.192627,3.301887,3.440404,3.583333,3.821958,4.092551,54.0
+b2_ros_one_24h	100	0.218274,0.26513,0.302574,0.333333,0.363636,0.388587,0.415391,0.438486,0.463172,0.482853,0.5,0.515625,0.531008,0.550693,0.566108,0.580544,0.6,0.618612,0.639013,0.648293,0.666667,0.685315,0.698584,0.712928,0.72965,0.742896,0.755556,0.770876,0.789811,0.802131,0.816213,0.833327,0.847492,0.863785,0.877018,0.896732,0.915984,0.930754,0.949394,0.961508,0.981651,1.0,1.016949,1.035732,1.051037,1.067308,1.085723,1.107692,1.122635,1.142428,1.163181,1.178918,1.198504,1.21529,1.237139,1.254011,1.278358,1.302099,1.327117,1.353084,1.375361,1.401235,1.42733,1.448929,1.477449,1.509493,1.523688,1.536741,1.555852,1.566573,1.586197,1.608981,1.623089,1.638086,1.653731,1.6779,1.695905,1.709547,1.729316,1.756015,1.773704,1.797722,1.828373,1.842105,1.866846,1.882525,1.900171,1.923873,1.953783,1.990949,2.03651,2.089884,2.166376,2.284217,2.4512,2.644345,2.866565,2.981077,23.0
+b2_ros_one_3h	100	0.069767,0.090909,0.111111,0.131313,0.146032,0.157895,0.173077,0.189189,0.2,0.217391,0.228571,0.239044,0.25,0.26,0.270388,0.282517,0.292543,0.301887,0.310924,0.32,0.330337,0.336039,0.344246,0.357143,0.367152,0.377483,0.38659,0.39267,0.401274,0.410428,0.42029,0.430556,0.436801,0.447301,0.457003,0.466667,0.474018,0.480769,0.490654,0.49745,0.502739,0.509847,0.517241,0.526033,0.533965,0.541872,0.55,0.559775,0.566116,0.571429,0.579407,0.587627,0.594059,0.604874,0.61324,0.621533,0.629126,0.638206,0.645709,0.654485,0.664535,0.674439,0.681818,0.691473,0.696293,0.704142,0.713311,0.724413,0.737213,0.746297,0.757052,0.763255,0.775145,0.788618,0.8,0.811444,0.821429,0.838811,0.852255,0.86234,0.876761,0.891979,0.904144,0.920206,0.934217,0.94728,0.966486,0.98661,1.0,1.015291,1.046634,1.069777,1.091143,1.126238,1.153392,1.22425,1.298408,1.494387,19.0
+b2_rovn_24h	100	0.007415,0.010158,0.012219,0.013761,0.015094,0.016279,0.017203,0.017984,0.018785,0.019616,0.020305,0.020988,0.021562,0.022087,0.022625,0.023184,0.023869,0.024516,0.025061,0.025618,0.026279,0.026673,0.027305,0.027891,0.028516,0.029141,0.02968,0.030266,0.030872,0.031357,0.032121,0.032615,0.03345,0.034068,0.034781,0.035559,0.03615,0.036794,0.037215,0.037889,0.038484,0.039276,0.039897,0.040481,0.041153,0.041729,0.042283,0.042953,0.043482,0.043963,0.044472,0.044953,0.045528,0.046069,0.04661,0.047132,0.047538,0.04803,0.048423,0.048884,0.049351,0.049816,0.050334,0.050855,0.051282,0.051796,0.052438,0.053317,0.054047,0.054756,0.055411,0.056114,0.057009,0.057685,0.058463,0.0592,0.060591,0.061925,0.0631,0.06397,0.064496,0.065185,0.065871,0.066505,0.067774,0.068797,0.070265,0.071819,0.073426,0.074033,0.074835,0.075973,0.077082,0.077751,0.080211,0.086482,0.088977,0.101893,10.0
+b2_rovn_3h	100	0.002457,0.003442,0.004127,0.004867,0.005433,0.006124,0.006749,0.00735,0.008033,0.008654,0.009187,0.009832,0.010432,0.011044,0.011629,0.012212,0.012768,0.013215,0.013585,0.014009,0.014354,0.014704,0.015113,0.01542,0.015741,0.016086,0.016388,0.016667,0.01687,0.017041,0.017304,0.017518,0.017751,0.018045,0.018235,0.018445,0.018726,0.018896,0.019089,0.01928,0.01953,0.019817,0.020046,0.020194,0.020427,0.020769,0.021035,0.021288,0.021464,0.021678,0.021904,0.022153,0.022366,0.022679,0.022897,0.023138,0.023358,0.02361,0.02382,0.024085,0.024299,0.024556,0.024942,0.025222,0.025541,0.025822,0.026206,0.026518,0.02685,0.027116,0.027433,0.027689,0.027993,0.028355,0.028638,0.028986,0.029379,0.029738,0.030261,0.030665,0.03098,0.031458,0.032008,0.032403,0.032931,0.033472,0.034203,0.03479,0.035455,0.036222,0.036952,0.037773,0.038863,0.040081,0.042506,0.046098,0.04768,0.062821,10.0
+c1_rovn_12h	100	0.005882,0.00813,0.01,0.011628,0.012987,0.014493,0.015873,0.017241,0.018519,0.019608,0.020833,0.022222,0.023474,0.024793,0.026316,0.027397,0.028571,0.030303,0.03125,0.032609,0.034091,0.035714,0.037037,0.038462,0.04,0.041667,0.042553,0.044118,0.045455,0.047619,0.049587,0.050633,0.052632,0.054348,0.055556,0.058824,0.059406,0.0625,0.063492,0.066667,0.070513,0.071429,0.074627,0.076923,0.08,0.083333,0.086957,0.090909,0.095745,0.1,0.105263,0.111111,0.115942,0.120482,0.125,0.133333,0.137931,0.142857,0.145161,0.153846,0.159091,0.166667,0.176471,0.181818,0.192308,0.2,0.214286,0.222222,0.236111,0.25,0.269231,0.285714,0.3,0.324324,0.333333,0.347826,0.375,0.4,0.434783,0.484375,0.5,0.545455,0.603448,0.666667,0.777778,0.952381,1.0,1.4,2.111111,42.0
+c1_rovn_168h	100	0.004255,0.006242,0.007874,0.009359,0.010753,0.012121,0.013445,0.014706,0.016,0.017241,0.018519,0.01992,0.021277,0.022472,0.02381,0.025,0.026316,0.027778,0.029126,0.030303,0.031915,0.033333,0.034653,0.036145,0.037736,0.039216,0.040816,0.042553,0.044118,0.045657,0.047619,0.049383,0.051064,0.052632,0.054795,0.056604,0.058824,0.060606,0.0625,0.064639,0.066667,0.068966,0.071429,0.073896,0.076923,0.078571,0.081395,0.083333,0.086957,0.089744,0.092105,0.095238,0.098901,0.101449,0.105263,0.109091,0.111111,0.116279,0.12,0.125,0.128205,0.133333,0.137931,0.142857,0.147541,0.153846,0.159236,0.166667,0.170213,0.177419,0.184932,0.192982,0.2,0.208333,0.217949,0.227513,0.239024,0.25,0.26087,0.274194,0.288136,0.305556,0.325,0.337209,0.362069,0.385714,0.411765,0.444444,0.482759,0.511905,0.565217,0.625,0.69697,0.793103,0.927536,1.090909,1.416667,2.08,114.0
+c1_rovn_24h	100	0.005495,0.007634,0.009346,0.01087,0.012346,0.013699,0.015152,0.016393,0.017857,0.019048,0.020408,0.021739,0.022727,0.024242,0.025641,0.027027,0.028169,0.029412,0.030928,0.032258,0.033333,0.035088,0.036364,0.037975,0.039474,0.040816,0.042553,0.044025,0.045455,0.047619,0.049505,0.05102,0.052632,0.054688,0.056266,0.058824,0.060241,0.0625,0.064516,0.066667,0.068966,0.071429,0.073171,0.076923,0.077206,0.081081,0.083333,0.08589,0.089286,0.090909,0.095238,0.098592,0.1,0.104651,0.108696,0.111111,0.115385,0.119403,0.125,0.132911,0.137255,0.142857,0.145455,0.152542,0.157895,0.166667,0.175676,0.181818,0.191489,0.2,0.20339,0.214286,0.223881,0.236025,0.25,0.269231,0.285714,0.3,0.318841,0.333333,0.347826,0.375,0.4,0.428571,0.470588,0.5,0.533333,0.595238,0.666667,0.742424,0.846154,1.0,1.166667,1.5,2.333333,104.5
+c1_rovn_72h	100	0.004706,0.006711,0.008403,0.009967,0.011364,0.012739,0.014085,0.015385,0.016667,0.017964,0.019231,0.020619,0.021869,0.023256,0.02439,0.025641,0.027027,0.028571,0.03,0.03125,0.032787,0.034483,0.035714,0.037037,0.038462,0.04,0.041667,0.043478,0.045455,0.047059,0.04878,0.05029,0.052632,0.054054,0.055556,0.058065,0.059701,0.0625,0.063973,0.066667,0.068182,0.070922,0.072727,0.075472,0.076923,0.08,0.083333,0.085366,0.088235,0.090909,0.094241,0.097561,0.1,0.103896,0.107692,0.111111,0.114943,0.119048,0.125,0.126316,0.131579,0.136364,0.142857,0.145455,0.151515,0.157895,0.165354,0.166667,0.175439,0.181818,0.190476,0.2,0.205128,0.214286,0.224138,0.235294,0.25,0.254237,0.269231,0.285714,0.3,0.317073,0.333333,0.35,0.375,0.4,0.428571,0.464286,0.5,0.535714,0.588235,0.655462,0.728395,0.833333,1.0,1.16,1.5,2.25,104.5
+c1_str_one_12h	100	0.011111,0.015707,0.019355,0.022727,0.026316,0.029412,0.032258,0.034884,0.037736,0.040541,0.043478,0.046154,0.04878,0.051793,0.054545,0.057143,0.058824,0.0625,0.066038,0.067961,0.071429,0.074074,0.076923,0.08,0.083333,0.085106,0.089109,0.090909,0.094828,0.1,0.103448,0.107143,0.111111,0.117647,0.121212,0.125,0.130435,0.133333,0.139535,0.142857,0.148148,0.153846,0.157895,0.165517,0.166667,0.171429,0.176471,0.181818,0.1875,0.193548,0.2,0.210526,0.216216,0.222222,0.229167,0.235294,0.247232,0.25,0.26087,0.271845,0.277778,0.285714,0.294118,0.302326,0.313253,0.333333,0.347826,0.363636,0.375,0.391304,0.4,0.416667,0.428571,0.454545,0.482759,0.5,0.508197,0.555556,0.6,0.644444,0.666667,0.75,1.0
+c1_str_one_168h	100	0.007782,0.011299,0.014085,0.016667,0.019115,0.021368,0.023669,0.025641,0.027778,0.030075,0.032258,0.034188,0.036036,0.038328,0.04,0.042105,0.044153,0.046154,0.048,0.05,0.052632,0.054054,0.05598,0.058824,0.060403,0.0625,0.064516,0.066667,0.068966,0.071429,0.073171,0.075697,0.076923,0.08,0.082942,0.083969,0.086957,0.089655,0.090909,0.093863,0.096774,0.1,0.100917,0.104167,0.107143,0.110935,0.111111,0.115044,0.117647,0.121212,0.125,0.125168,0.12963,0.133333,0.136364,0.140608,0.142857,0.145455,0.15,0.153846,0.157895,0.162162,0.166667,0.172185,0.176471,0.181818,0.186517,0.191489,0.198361,0.2,0.204545,0.210938,0.217391,0.222222,0.230769,0.238095,0.247525,0.25,0.254902,0.265306,0.27381,0.285714,0.294118,0.305556,0.318182,0.333333,0.351724,0.37037,0.390909,0.409091,0.437186,0.475,0.5,0.529412,0.61,0.75,1.0
+c1_str_one_24h	100	0.009934,0.014085,0.017544,0.020576,0.023529,0.026316,0.029412,0.031818,0.034483,0.037037,0.04,0.041667,0.044776,0.047619,0.05,0.052632,0.055046,0.057143,0.058824,0.0625,0.064935,0.066667,0.070922,0.072464,0.076336,0.076923,0.081081,0.083333,0.086538,0.090909,0.095238,0.098592,0.1,0.103448,0.107143,0.111111,0.115385,0.119048,0.125,0.128205,0.133333,0.136364,0.142857,0.144737,0.15,0.153846,0.159091,0.166667,0.173077,0.178571,0.181818,0.1875,0.194444,0.2,0.204082,0.211538,0.218107,0.222222,0.230769,0.238095,0.25,0.254902,0.265683,0.272727,0.285714,0.286957,0.3,0.307692,0.322581,0.333333,0.348837,0.363636,0.375,0.39604,0.4,0.426667,0.444444,0.470588,0.5,0.533333,0.575,0.626866,0.666667,0.8,1.0
+c1_str_one_72h	100	0.008621,0.012405,0.015544,0.018405,0.021053,0.023622,0.026087,0.028571,0.030769,0.033191,0.035294,0.037433,0.04,0.041667,0.044248,0.046512,0.04878,0.050847,0.052632,0.055556,0.057803,0.059829,0.0625,0.064516,0.066667,0.069307,0.071429,0.074074,0.076923,0.078652,0.081633,0.083333,0.086207,0.089172,0.090909,0.09375,0.096774,0.1,0.101266,0.105263,0.107861,0.111111,0.112329,0.116279,0.119403,0.123457,0.125,0.12766,0.131579,0.135135,0.138889,0.142857,0.148148,0.152941,0.15625,0.160714,0.166667,0.17,0.175532,0.180851,0.184615,0.190217,0.196078,0.2,0.208092,0.214286,0.222222,0.225806,0.23314,0.240566,0.25,0.253886,0.264151,0.272727,0.283019,0.289474,0.3,0.312169,0.326087,0.333333,0.35,0.364865,0.381818,0.4,0.416667,0.441176,0.470588,0.5,0.540984,0.6,0.666667,0.923077,1.0
+b11_return_n_uv_24h	100	12554.0,19130.0,27248.0,177099.0,193746.0,202027.0,218398.0,227520.0,254337.0,264891.0,286464.0,2526313.0,2526545.0,2528750.0,2538274.0,2543380.0,2543771.0,2553679.0,2575862.0,2595365.0,2611603.0,2630099.0,2630619.0,2632438.0,2634669.0,2637310.0,2638072.0,2638231.0,2638608.0,2644598.0,2654604.0,2667712.0,2669982.0,2676376.0,2677904.0,2681492.0,2682825.0,2688267.0,2693607.0,2695460.0,2696250.0,2696914.0,2698261.0,2700875.0,2701495.0,2702854.0,2704170.0,2704244.0,2705099.0,2710768.0,2713671.0,2714284.0,2716843.0,2718965.0,2730618.0
+b11_ros_24h	100	0.37832,0.443002,0.496278,0.502406,0.517727,0.556475,0.56194,0.580491,0.610628,0.696144,0.72174,0.763871,0.76543,0.765572,0.765597,0.765669,0.769191,0.76988,0.774881,0.77583,0.779234,0.783693,0.786609,0.791863,0.794163,0.794243,0.794837,0.795571,0.795826,0.796652,0.797149,0.79748,0.797886,0.798956,0.799867,0.800917,0.802761,0.804375,0.806244,0.810651,0.812658,0.815454,0.818555,0.823469,0.825178,0.825843,0.826392,0.829107,0.830551,0.830565,0.831093,0.831663,0.833083,0.837288,8.0
+b11_ros_minus_24h	100	1.963606,2.052491,2.108984,2.137896,2.170951,2.285048,2.346178,2.415986,2.6175,2.707326,2.774442,3.461441,3.46168,3.462007,3.464448,3.476021,3.477843,3.497935,3.503698,3.514426,3.528855,3.544382,3.563245,3.590576,3.593022,3.595016,3.611391,3.611627,3.619831,3.620812,3.62426,3.634823,3.636287,3.636759,3.638101,3.638448,3.639251,3.641934,3.645374,3.654657,3.669304,3.684984,3.694522,3.710307,3.723902,3.746606,3.748274,3.757586,3.760104,3.762996,3.763703,3.765889,3.767214,3.767279,3.773542,8.0
+b11_ros_one_24h	100	0.700204,0.782024,0.8892,0.907446,0.924806,0.994083,1.010924,1.041221,1.100424,1.251357,1.288907,1.29023,1.29066,1.291535,1.293323,1.294461,1.297995,1.302682,1.303418,1.311114,1.318216,1.326029,1.331791,1.341573,1.35123,1.351345,1.352914,1.353842,1.354043,1.35429,1.355535,1.355736,1.356424,1.357431,1.357644,1.358946,1.364392,1.366209,1.369725,1.372441,1.376175,1.382788,1.390861,1.39731,1.403612,1.405221,1.405327,1.408119,1.409381,1.411926,1.412735,1.41393,1.415716,1.415804,1.416543,1.425403,8.0
+b11_rovn_24h	100	0.022274,0.025964,0.029378,0.043479,0.04353,0.043576,0.043621,0.043646,0.04379,0.044049,0.044081,0.044264,0.044476,0.044552,0.044633,0.044681,0.044705,0.044726,0.044749,0.044774,0.044792,0.044804,0.044893,0.044916,0.044957,0.044963,0.044989,0.045036,0.045037,0.045042,0.045065,0.045077,0.045092,0.045098,0.045102,0.045116,0.045136,0.045161,0.045244,0.045258,0.045363,0.04538,0.045403,0.045481,0.045694,0.046647,0.048013,0.051119,0.05354,0.056476,0.066579,0.07025,0.072811,0.079191
+b11_str_one_24h	100	0.030218,0.031815,0.03188,0.031884,0.031899,0.031901,0.031902,0.031908,0.032057,0.032126,0.032227,0.032308,0.03239,0.032425,0.032465,0.032517,0.032556,0.032653,0.032765,0.03277,0.032897,0.033085,0.033173,0.033245,0.033254,0.033261,0.033271,0.033292,0.033311,0.033381,0.033442,0.03348,0.033514,0.033541,0.033579,0.033597,0.033615,0.033628,0.033688,0.03374,0.033809,0.033819,0.033859,0.033863,0.034787,0.051343,0.05246,0.052962,0.053205,0.053294,0.054122,0.054136,0.054241,0.054674,0.307692
+b12_return_n_uv_14d	100	6.0,12.0,21.0,30.0,42.0,55.0,73.0,94.0,115.0,142.0,176.0,210.0,255.0,288.0,353.0,407.0,448.0,520.0,626.0,716.0,826.0,962.0,1083.0,1130.0,1251.0,1382.0,1509.0,1639.0,1841.0,2067.0,2379.0,2511.0,2853.0,3201.0,3379.0,3779.0,4375.0,4633.0,5032.0,5636.0,5930.0,6776.0,6942.0,7402.0,7826.0,8775.0,9147.0,9318.0,9659.0,10309.0,11467.0,11955.0,12882.0,13947.0,15232.0,16485.0,16733.0,18578.0,19585.0,20549.0,21724.0,23319.0,25110.0,27409.0,28985.0,29099.0,32522.0,33246.0,34098.0,34883.0,37143.0,39693.0,42182.0,44006.0,48726.0,50169.0,51084.0,54150.0,54902.0,55570.0,61495.0,62201.0,64636.0,70193.0,71184.0,76634.0,90858.0,99626.0,105433.0,110257.0,120254.0,122295.0,129043.0,149871.0,162420.0,233768.0,251880.0
+b3_ros_minus_24h	100	1.0,1.1,1.238095,1.333333,1.375,1.428571,1.5,1.555556,1.6,1.642857,1.670886,1.73913,1.775,1.818182,1.847458,1.887097,1.916667,1.948718,2.0,2.047619,2.076923,2.105263,2.142857,2.166667,2.1875,2.230769,2.25,2.292683,2.333333,2.365385,2.40708,2.444444,2.5,2.5625,2.6,2.650602,2.679104,2.720588,2.75,2.803922,2.85,2.888889,2.942308,3.0,3.076923,3.134615,3.166667,3.217949,3.257576,3.333333,3.372263,3.428571,3.5,3.54902,3.604317,3.666667,3.727273,3.779221,3.829545,3.888889,3.953488,4.0,4.042735,4.142857,4.207547,4.282828,4.337748,4.423077,4.5,4.594595,4.714286,4.909091,5.0,5.196226,5.368421,5.621622,5.75,5.941176,6.208333,6.458333,6.857143,7.285714,8.113636,9.5,94.0
+b3_ros_one_168h	100	0.272727,0.366667,0.434783,0.485714,0.525108,0.562842,0.6,0.630975,0.648801,0.66443,0.688742,0.703645,0.728814,0.758621,0.785867,0.808564,0.830769,0.851852,0.872054,0.886076,0.902439,0.924623,0.925926,0.953959,0.966387,0.990826,1.01378,1.049107,1.073171,1.077519,1.113433,1.127358,1.164474,1.187302,1.221519,1.241667,1.259649,1.28169,1.301676,1.333333,1.359773,1.376543,1.404814,1.427562,1.454545,1.48,1.5,1.526502,1.552326,1.575342,1.592742,1.612457,1.632509,1.655738,1.690722,1.707692,1.725849,1.737024,1.746073,1.770175,1.7868,1.820652,1.837736,1.875,1.895604,1.936735,1.965969,2.0,2.032787,2.054645,2.069832,2.086239,2.119205,2.150985,2.202899,2.24,2.269551,2.304636,2.311258,2.353846,2.39823,2.45082,2.53125,2.584416,2.6475,2.728337,2.804082,2.896424,3.038335,3.183673,3.318966,3.36036,3.38448,3.679487,3.951456,19.666667
+b3_ros_one_24h	100	0.111111,0.166667,0.2,0.222222,0.25,0.27451,0.298729,0.330189,0.333333,0.361111,0.375,0.387879,0.4,0.416667,0.440678,0.461538,0.472727,0.482353,0.5,0.503106,0.521368,0.545455,0.564286,0.582278,0.6,0.61165,0.625,0.64,0.654676,0.666667,0.682927,0.698413,0.713805,0.727273,0.740741,0.756757,0.769231,0.789474,0.807143,0.823529,0.84058,0.857143,0.876543,0.897959,0.917431,0.941176,0.956522,0.976471,1.0,1.016807,1.047619,1.071429,1.0875,1.109541,1.130045,1.159574,1.184615,1.217822,1.25,1.275862,1.310345,1.337838,1.370629,1.394737,1.416667,1.439689,1.461538,1.485437,1.506912,1.526316,1.55814,1.582418,1.619048,1.645,1.680141,1.717949,1.761905,1.801587,1.832335,1.882353,1.933333,1.986207,2.0,2.044586,2.098039,2.142857,2.220779,2.341176,2.421053,2.632911,2.829609,3.0,3.205882,3.846154,4.25,55.0
+b3_rovn_168h	100	0.009564,0.013289,0.015625,0.017699,0.019403,0.020141,0.021666,0.02283,0.023763,0.02508,0.025966,0.026812,0.027581,0.028288,0.02918,0.029742,0.030347,0.031039,0.031739,0.032297,0.032894,0.033503,0.033911,0.034275,0.03489,0.035622,0.036199,0.03663,0.037323,0.037796,0.038148,0.038696,0.039324,0.039911,0.040609,0.041202,0.041704,0.04198,0.042611,0.043174,0.043685,0.04429,0.044671,0.045229,0.045897,0.046181,0.046768,0.047273,0.047806,0.048408,0.049002,0.049785,0.050431,0.051049,0.051822,0.052483,0.053158,0.054009,0.054918,0.055865,0.056629,0.057196,0.057929,0.058159,0.059044,0.059837,0.061238,0.062199,0.062591,0.063717,0.064339,0.064895,0.066001,0.0668,0.067779,0.06887,0.069959,0.070455,0.071169,0.071778,0.072644,0.073219,0.074956,0.076108,0.077365,0.07813,0.078435,0.079916,0.081267,0.081709,0.081972,0.08375,0.084581,0.086125,0.089137,0.091978,2.0
+b3_rovn_24h	100	0.003226,0.004695,0.005386,0.006557,0.007044,0.007813,0.008324,0.009058,0.009823,0.010638,0.011164,0.011962,0.012834,0.013514,0.01413,0.014706,0.015368,0.015625,0.016129,0.016529,0.01717,0.017857,0.018293,0.018674,0.019286,0.019819,0.02028,0.020757,0.021368,0.021806,0.022394,0.022841,0.023453,0.023845,0.024181,0.024804,0.025266,0.02583,0.026295,0.026667,0.027176,0.027659,0.028116,0.028534,0.029073,0.029571,0.03,0.030476,0.030965,0.031514,0.032175,0.032828,0.033446,0.034193,0.034866,0.035398,0.036104,0.036851,0.037654,0.038326,0.038961,0.039552,0.040219,0.041138,0.041667,0.042879,0.043657,0.044674,0.045627,0.046369,0.047595,0.048599,0.05,0.051362,0.052632,0.053859,0.054745,0.056155,0.057803,0.059494,0.061042,0.062629,0.06472,0.066667,0.067721,0.069959,0.071587,0.073219,0.075099,0.077295,0.082034,0.085106,0.08838,0.091066,0.096124,0.108742,0.132231,0.25,55.0
+b3_str_one_168h	100	0.016005,0.017342,0.018158,0.019171,0.019753,0.020258,0.020685,0.020917,0.021166,0.021648,0.022108,0.022388,0.022558,0.022593,0.022956,0.023367,0.023649,0.024131,0.024315,0.024323,0.024449,0.024757,0.024926,0.025079,0.025222,0.025448,0.025641,0.026129,0.026418,0.026856,0.027101,0.027299,0.027474,0.027593,0.027778,0.028104,0.028302,0.0286,0.02881,0.02907,0.029423,0.02992,0.029982,0.030168,0.03039,0.030801,0.03135,0.031471,0.031681,0.032096,0.032359,0.032854,0.033269,0.03372,0.03399,0.034342,0.034487,0.034936,0.035153,0.035174,0.035651,0.036495,0.036719,0.037066,0.037091,0.037262,0.037338,0.037351,0.037554,0.038244,0.038749,0.039117,0.039187,0.039841,0.040677,0.041232,0.042395,0.043184,0.043822,0.043862,0.044792,0.045435,0.046294,0.047619,0.048215,0.048231,0.048697,0.049573,0.051573,0.053545,0.054586,0.056036,0.058007,0.06198,0.064299,0.069752,0.08471,1.0
+b3_str_one_24h	100	0.00831,0.011799,0.012723,0.013712,0.015075,0.016,0.016994,0.017609,0.017705,0.018253,0.01888,0.019219,0.019934,0.020408,0.02076,0.020988,0.021409,0.021858,0.022192,0.022665,0.023087,0.023417,0.02381,0.024281,0.024691,0.025,0.025341,0.025641,0.025879,0.026099,0.026448,0.026702,0.027017,0.027197,0.027494,0.027613,0.027778,0.027999,0.028237,0.028571,0.028842,0.029094,0.029448,0.029898,0.030238,0.030538,0.030965,0.03143,0.031867,0.032258,0.03267,0.033058,0.033413,0.033789,0.033998,0.034247,0.034454,0.034755,0.035108,0.03548,0.036022,0.036585,0.037178,0.037736,0.038233,0.038868,0.039092,0.039541,0.040198,0.040947,0.041322,0.042343,0.043394,0.043834,0.044444,0.045161,0.04609,0.046843,0.047681,0.049259,0.05032,0.051475,0.052713,0.054047,0.054676,0.055245,0.056093,0.057935,0.059685,0.061818,0.063023,0.064516,0.068371,0.071429,0.076923,0.084746,0.107143,0.190476,1.0
+b2_str_one_24h	100	0.015529,0.017759,0.019337,0.020619,0.021552,0.022389,0.022954,0.023381,0.023761,0.023992,0.024243,0.024618,0.024967,0.025403,0.0257,0.02595,0.02629,0.026734,0.027059,0.02737,0.027636,0.027826,0.027997,0.028195,0.028438,0.028712,0.028994,0.029229,0.029433,0.029621,0.029789,0.03004,0.03024,0.03043,0.030723,0.031085,0.031454,0.031937,0.032351,0.032822,0.033207,0.033583,0.033903,0.034208,0.034637,0.035214,0.036066,0.036683,0.037174,0.037841,0.038329,0.038817,0.039326,0.03973,0.039991,0.040263,0.040572,0.040911,0.041479,0.042302,0.042957,0.043448,0.044013,0.044906,0.045802,0.046374,0.047038,0.047611,0.048088,0.048489,0.04918,0.049674,0.049991,0.050488,0.050983,0.051528,0.052398,0.053295,0.054086,0.054698,0.05532,0.055802,0.056186,0.056769,0.057535,0.05834,0.059047,0.059668,0.060222,0.061129,0.061514,0.062342,0.063935,0.068066,0.070784,0.073142,0.075916,0.083788,1.0
+b2_str_one_3h	100	0.013291,0.016064,0.017759,0.019209,0.020305,0.021115,0.021754,0.022339,0.022936,0.023379,0.02381,0.024194,0.024667,0.025051,0.025399,0.025861,0.026264,0.026616,0.026979,0.027368,0.02776,0.028066,0.02839,0.028675,0.029053,0.029367,0.029748,0.0301,0.030456,0.030797,0.03124,0.031534,0.031851,0.032212,0.032591,0.032929,0.03328,0.033592,0.033926,0.034313,0.034715,0.035037,0.035429,0.035872,0.036264,0.036679,0.037037,0.03741,0.037729,0.038042,0.03838,0.038619,0.039093,0.039308,0.039743,0.040157,0.040541,0.041107,0.041684,0.042138,0.042636,0.043384,0.043892,0.044444,0.044888,0.04561,0.04639,0.047105,0.047627,0.048375,0.048993,0.049927,0.050562,0.051031,0.051734,0.052342,0.053061,0.053624,0.05433,0.054983,0.055748,0.056526,0.057237,0.05781,0.058506,0.059227,0.06036,0.061395,0.06282,0.064706,0.06711,0.068513,0.069895,0.072082,0.075226,0.079469,0.083333,0.088115,1.0
+b3_return_n_uv_168h	100	3.0,7.0,14.0,21.0,27.0,37.0,48.0,59.0,67.0,73.0,83.0,92.0,99.0,108.0,118.0,127.0,135.0,139.0,142.0,148.0,158.0,167.0,174.0,183.0,194.0,201.0,206.0,211.0,218.0,222.0,227.0,231.0,238.0,247.0,260.0,268.0,276.0,286.0,295.0,303.0,314.0,323.0,331.0,333.0,335.0,349.0,364.0,373.0,375.0,384.0,396.0,400.0,407.0,413.0,426.0,434.0,440.0,455.0,462.0,476.0,488.0,502.0,518.0,540.0,554.0,573.0,594.0,617.0,635.0,653.0,663.0,670.0,684.0,698.0,704.0,727.0,743.0,754.0,770.0,794.0,898.0,954.0,1007.0,1024.0,1062.0,1127.0,1208.0,1260.0,1386.0,1440.0,1666.0,2097.0,2344.0,2610.0,3056.0,4820.0
+b3_return_n_uv_24h	100	2.0,3.0,4.0,5.0,6.0,8.0,9.0,10.0,11.0,13.0,14.0,15.0,16.0,17.0,18.0,20.0,21.0,22.0,24.0,25.0,26.0,28.0,30.0,32.0,34.0,36.0,37.0,39.0,40.0,42.0,44.0,46.0,49.0,51.0,54.0,57.0,59.0,62.0,65.0,66.0,69.0,72.0,76.0,78.0,81.0,85.0,88.0,91.0,94.0,99.0,102.0,106.0,110.0,114.0,120.0,126.0,131.0,136.0,141.0,147.0,151.0,158.0,163.0,169.0,175.0,183.0,192.0,199.0,208.0,217.0,224.0,235.0,247.0,255.0,267.0,283.0,288.0,299.0,306.0,314.0,327.0,341.0,358.0,370.0,396.0,437.0,576.0,837.0,3044.0
+b3_ros_168h	100	0.171171,0.230159,0.275229,0.306202,0.329621,0.354331,0.382114,0.404517,0.420455,0.43167,0.444444,0.454545,0.466667,0.472093,0.483871,0.496863,0.509363,0.519685,0.534282,0.544304,0.564297,0.576471,0.589286,0.599138,0.602113,0.61753,0.632558,0.651394,0.661376,0.667199,0.678899,0.695035,0.714286,0.732824,0.748571,0.762295,0.783505,0.795031,0.812352,0.827243,0.840237,0.848806,0.861446,0.872222,0.876316,0.878287,0.882857,0.898833,0.920063,0.921101,0.926761,0.940937,0.955941,0.963855,0.977169,0.990148,0.99901,1.008,1.024055,1.038055,1.053457,1.06746,1.074074,1.100629,1.130769,1.146484,1.160473,1.173729,1.190878,1.211667,1.227106,1.248927,1.263254,1.276051,1.276094,1.291849,1.311881,1.330517,1.354911,1.368421,1.393519,1.429577,1.471014,1.509346,1.52227,1.547401,1.599724,1.697561,1.806557,1.846535,1.900588,1.959223,2.030769,2.085526,2.211957,2.242321,19.666667
+b3_ros_24h	100	0.078947,0.111111,0.136364,0.147059,0.166667,0.176471,0.191781,0.2,0.215054,0.232877,0.246154,0.25,0.264516,0.272727,0.283988,0.291667,0.3,0.310345,0.32,0.33,0.333333,0.338346,0.346535,0.355556,0.366906,0.375,0.380952,0.39,0.394737,0.4,0.410959,0.419355,0.428571,0.436508,0.445313,0.454545,0.465812,0.472973,0.483483,0.493506,0.5,0.513158,0.523392,0.532544,0.545455,0.559471,0.571429,0.584615,0.594059,0.604396,0.617834,0.633166,0.652361,0.666667,0.678571,0.691781,0.707983,0.722581,0.741379,0.759259,0.773723,0.789474,0.802083,0.814815,0.824034,0.833333,0.84375,0.857143,0.871795,0.888889,0.908397,0.930108,0.948718,0.971774,1.0,1.028226,1.055215,1.089094,1.12234,1.147059,1.172932,1.205405,1.233333,1.271523,1.296943,1.340827,1.371429,1.416667,1.461538,1.5,1.58156,1.619048,1.722222,2.0,2.220238,3.0,55.0
+b3_ros_minus_168h	100	1.074074,1.428571,1.571429,1.728,1.825,1.934066,2.0,2.067797,2.125,2.15,2.173913,2.202899,2.24,2.272727,2.3,2.333333,2.367742,2.401163,2.431373,2.482143,2.5,2.54717,2.589041,2.628159,2.640845,2.662651,2.684211,2.731818,2.767442,2.787402,2.818004,2.860465,2.932927,3.0,3.054795,3.142857,3.205882,3.266667,3.29932,3.357143,3.396947,3.425287,3.487805,3.5375,3.6,3.690476,3.7,3.714286,3.763033,3.829545,3.903846,3.970588,3.984127,3.994783,4.051282,4.100775,4.12069,4.192308,4.255319,4.264151,4.291845,4.324324,4.353293,4.375,4.398773,4.441176,4.477612,4.5,4.525,4.562092,4.573333,4.623656,4.653571,4.714286,4.790875,4.860849,4.939394,5.030303,5.094595,5.117647,5.16092,5.245098,5.402597,5.573487,5.6875,5.834842,5.936957,6.040094,6.324324,6.483333,6.695652,7.173077,7.267857,7.529412,7.92,9.042781,94.0
+b12_ros_14d	100	0.112892,0.131057,0.136757,0.141178,0.146907,0.151057,0.154565,0.159252,0.164063,0.166767,0.169095,0.173524,0.177408,0.179253,0.18241,0.184202,0.185557,0.188099,0.189756,0.192961,0.194315,0.195,0.198016,0.198996,0.201428,0.203298,0.205119,0.206473,0.207242,0.209402,0.210211,0.211205,0.212632,0.214612,0.215028,0.216037,0.218086,0.219179,0.2196,0.221985,0.223627,0.224902,0.225957,0.228078,0.229267,0.231153,0.233438,0.236059,0.237975,0.240129,0.242985,0.243218,0.244019,0.245894,0.247191,0.24866,0.250907,0.253337,0.256376,0.257053,0.257246,0.259232,0.261298,0.262617,0.262909,0.263665,0.264373,0.265151,0.266888,0.267328,0.268944,0.271199,0.273674,0.274725,0.276158,0.279495,0.280327,0.285714,0.288347,0.29064,0.296742,0.299949,0.300879,0.302991,0.305188,0.306142,0.307722,0.309695,0.312352,0.314906,0.323387,0.327894,0.332531,0.340347,0.352226,0.363365,1.0
+b12_ros_minus_14d	100	1.0
+b12_ros_one_14d	100	0.188679,0.202247,0.220588,0.233287,0.242424,0.255102,0.262844,0.26899,0.276316,0.284091,0.285461,0.291173,0.298611,0.305523,0.311045,0.316108,0.320143,0.323493,0.326389,0.33,0.334942,0.340831,0.345191,0.34615,0.346836,0.351955,0.357616,0.358974,0.362989,0.36479,0.3673,0.373072,0.378844,0.380444,0.381992,0.385731,0.387472,0.38956,0.391368,0.394488,0.395177,0.396094,0.396658,0.400297,0.403498,0.405347,0.408357,0.411351,0.413821,0.417229,0.420485,0.42238,0.424168,0.425554,0.427179,0.429672,0.432973,0.43503,0.439664,0.440661,0.444657,0.446903,0.450842,0.453218,0.456544,0.459003,0.460151,0.462355,0.466238,0.46836,0.470511,0.47619,0.479008,0.479028,0.479526,0.485714,0.486541,0.488215,0.490929,0.494526,0.498104,0.50316,0.507026,0.508108,0.508473,0.512305,0.521976,0.528142,0.535175,0.542331,0.55863,0.563277,0.563817,0.573726,0.575337,0.577472,1.0
+b12_rovn_14d	100	0.005827,0.006847,0.007424,0.007792,0.008105,0.008389,0.008709,0.008967,0.009169,0.009485,0.009641,0.009873,0.010003,0.010129,0.01035,0.010503,0.010698,0.010801,0.010864,0.010996,0.01109,0.011162,0.011278,0.011416,0.011551,0.011672,0.011762,0.011883,0.011949,0.012165,0.012337,0.01241,0.012612,0.012877,0.012994,0.01304,0.013138,0.013231,0.013344,0.013447,0.013462,0.013603,0.013821,0.013942,0.014101,0.014216,0.014327,0.014573,0.014673,0.014794,0.014875,0.015086,0.01525,0.015467,0.015563,0.015762,0.015997,0.016276,0.016459,0.016616,0.016628,0.016951,0.017114,0.017512,0.017728,0.017837,0.018278,0.019026,0.019101,0.019163,0.019423,0.019431,0.019457,0.019643,0.019732,0.019902,0.020166,0.02022,0.020379,0.020428,0.020578,0.021088,0.021138,0.021553,0.022937,0.024682,0.027235,0.028191,0.02864,0.029825,0.031882,0.032249,0.035416,0.035417,0.039053,1.0
+b12_str_one_14d	100	0.017194,0.018926,0.020602,0.021812,0.022509,0.023051,0.023287,0.023705,0.024073,0.024322,0.024508,0.024838,0.025432,0.025824,0.026285,0.026687,0.026827,0.027085,0.027557,0.027857,0.028199,0.028332,0.028516,0.02871,0.028743,0.028952,0.029131,0.029403,0.029489,0.029972,0.030102,0.030331,0.03067,0.030935,0.031223,0.031538,0.032203,0.032636,0.032986,0.033492,0.033789,0.033845,0.034072,0.034298,0.034838,0.035617,0.036231,0.036776,0.037242,0.037988,0.038293,0.03861,0.039236,0.039726,0.039874,0.040538,0.041073,0.041645,0.042543,0.043108,0.044248,0.044771,0.045165,0.045668,0.045941,0.04706,0.047333,0.048249,0.049816,0.049868,0.050133,0.050634,0.051337,0.052174,0.053584,0.053652,0.05422,0.054755,0.055265,0.055349,0.055867,0.056575,0.056788,0.058301,0.05902,0.060072,0.060626,0.061448,0.061732,0.061935,0.063963,0.06937,0.069806,0.073129,0.080201,1.0
+b13_return_n_uv_24h	100	4.0,12.0,20.0,30.0,43.0,57.0,73.0,91.0,111.0,131.0,157.0,183.0,213.0,244.0,283.0,323.0,368.0,416.0,484.0,546.0,624.0,716.0,812.0,908.0,1012.0,1132.0,1257.0,1428.0,1576.0,1796.0,1980.0,2227.0,2556.0,2839.0,3235.0,3638.0,4105.0,4587.0,4960.0,5404.0,5926.0,6422.0,6755.0,7302.0,7832.0,8288.0,8867.0,9275.0,9716.0,10080.0,10536.0,10919.0,11386.0,11853.0,12473.0,13108.0,13748.0,14368.0,14960.0,15393.0,16094.0,16793.0,17374.0,18001.0,18508.0,19246.0,20257.0,21021.0,21958.0,23092.0,24532.0,26299.0,28002.0,29445.0,30623.0,32486.0,34488.0,36480.0,38344.0,39437.0,41006.0,42384.0,44805.0,47777.0,52282.0,56050.0,59827.0,66989.0,73794.0,83364.0,91460.0,97674.0,105914.0,116448.0,123405.0,138595.0,154440.0,180881.0,212798.0
+b13_return_n_uv_3h	100	2.0,4.0,5.0,7.0,9.0,11.0,14.0,17.0,20.0,23.0,27.0,30.0,35.0,40.0,46.0,52.0,58.0,64.0,72.0,79.0,89.0,99.0,110.0,123.0,135.0,146.0,161.0,177.0,192.0,206.0,222.0,243.0,262.0,278.0,300.0,324.0,351.0,379.0,402.0,436.0,474.0,512.0,553.0,592.0,628.0,671.0,719.0,774.0,818.0,873.0,918.0,969.0,1038.0,1092.0,1145.0,1235.0,1292.0,1347.0,1404.0,1488.0,1541.0,1624.0,1710.0,1800.0,1883.0,1969.0,2046.0,2162.0,2254.0,2406.0,2531.0,2630.0,2742.0,2884.0,3008.0,3190.0,3404.0,3640.0,3877.0,4089.0,4397.0,4738.0,5075.0,5357.0,5865.0,6415.0,6900.0,7223.0,7903.0,8626.0,9540.0,10097.0,10546.0,11594.0,13561.0,15106.0,18802.0,35704.0
+b13_ros_24h	100	0.143939,0.180095,0.202381,0.222672,0.234463,0.24844,0.263019,0.274559,0.285714,0.297583,0.310914,0.322352,0.333262,0.341969,0.352053,0.359278,0.369132,0.380358,0.387585,0.395323,0.403672,0.41119,0.420763,0.427951,0.434462,0.441496,0.449134,0.456979,0.464222,0.473079,0.480903,0.489968,0.499297,0.508717,0.517313,0.530053,0.538093,0.548568,0.559916,0.571009,0.581444,0.587425,0.594754,0.603929,0.613775,0.619377,0.632914,0.641328,0.655172,0.666667,0.672137,0.683028,0.690735,0.703005,0.713066,0.717904,0.731257,0.74004,0.751138,0.762959,0.775555,0.787667,0.798166,0.814796,0.825014,0.835695,0.846591,0.860728,0.87574,0.887037,0.903543,0.919679,0.936523,0.95031,0.961116,0.971603,0.979651,0.994423,1.006463,1.025033,1.040913,1.063283,1.084406,1.101079,1.113692,1.132427,1.149087,1.168572,1.196373,1.232139,1.262653,1.29841,1.350122,1.411286,1.480325,1.561656,1.590312,1.666092,19.5
+b7_ros_one_24h	100	0.182796,0.235294,0.275626,0.305615,0.333333,0.357801,0.385057,0.411874,0.433333,0.457175,0.478261,0.496296,0.507833,0.525955,0.542484,0.559503,0.574248,0.592408,0.606557,0.622163,0.636364,0.651163,0.666667,0.684102,0.700112,0.718535,0.733667,0.748383,0.764977,0.779054,0.796366,0.814949,0.830579,0.848485,0.864865,0.882353,0.901038,0.916442,0.932041,0.946939,0.964398,0.98328,1.0,1.012658,1.028736,1.048516,1.06838,1.088423,1.10368,1.123518,1.139001,1.153595,1.177191,1.193461,1.217666,1.233102,1.256281,1.284997,1.306548,1.326675,1.344243,1.360737,1.379008,1.399615,1.417596,1.436023,1.453602,1.473587,1.494,1.510909,1.534802,1.562284,1.594086,1.620286,1.640379,1.659455,1.684685,1.721861,1.751227,1.785566,1.824937,1.854359,1.885814,1.921113,1.96,2.0,2.029604,2.077707,2.126428,2.179408,2.240821,2.316998,2.380254,2.473048,2.560104,2.663178,2.948939,3.377449,32.0
+b7_rovn_24h	100	0.006013,0.008611,0.010567,0.012295,0.013761,0.014888,0.016094,0.017224,0.018018,0.018909,0.019699,0.020366,0.021156,0.021854,0.02254,0.023198,0.023848,0.024505,0.025244,0.025838,0.026498,0.027129,0.02783,0.028571,0.029264,0.029898,0.030564,0.031328,0.031959,0.032624,0.033254,0.033898,0.034453,0.034978,0.035609,0.036217,0.036873,0.03751,0.038057,0.038597,0.039299,0.039951,0.040524,0.041098,0.041682,0.042203,0.042784,0.043239,0.043733,0.04435,0.044917,0.045424,0.04592,0.046523,0.047156,0.047599,0.048136,0.048807,0.049408,0.049974,0.050689,0.051365,0.05199,0.052549,0.053215,0.053843,0.054536,0.055174,0.05573,0.056322,0.056924,0.057518,0.0581,0.058775,0.059405,0.060142,0.060761,0.061622,0.062685,0.063558,0.064643,0.066085,0.067248,0.068632,0.069866,0.072505,0.074441,0.076216,0.078019,0.080227,0.082474,0.084974,0.086849,0.08892,0.091709,0.094686,0.102361,0.121541,4.0
+b7_str_one_24h	100	0.012699,0.014837,0.016245,0.017211,0.017787,0.018335,0.018883,0.019523,0.019992,0.020408,0.020741,0.020982,0.02133,0.021734,0.022172,0.022728,0.023104,0.023796,0.02439,0.024834,0.025316,0.025973,0.026667,0.027152,0.027587,0.028289,0.02896,0.02973,0.030299,0.030784,0.031173,0.03151,0.03189,0.032302,0.032777,0.033137,0.033524,0.033972,0.034448,0.034918,0.035367,0.035823,0.036266,0.03686,0.037331,0.037695,0.038028,0.038459,0.038877,0.039238,0.039625,0.039999,0.040418,0.040917,0.041391,0.041804,0.042146,0.0426,0.043201,0.043495,0.044051,0.044944,0.045727,0.04643,0.047322,0.048116,0.048879,0.04967,0.050628,0.051488,0.052368,0.053267,0.054301,0.055816,0.056974,0.057801,0.058336,0.059648,0.060753,0.062157,0.063325,0.064872,0.066118,0.067125,0.068548,0.069651,0.070473,0.07142,0.072373,0.073421,0.074329,0.07593,0.07836,0.081309,0.0832,0.086708,0.093804,0.097773,1.0
+b8_return_n_uv_24h	100	9422.0,18417.0,22443.0,26087.0,30132.0,34478.0,38640.0,45818.0,50933.0,62047.0,72208.0,79354.0,84006.0,87338.0,94649.0,99666.0,102666.0,106897.0,108795.0,114318.0,116472.0,122332.0,131397.0,137685.0,150516.0,156954.0,161555.0,163202.0,167787.0,169446.0,170819.0,173110.0,177024.0,181337.0,185001.0,188215.0,195261.0,200521.0,206360.0,210370.0,213721.0,217020.0,217920.0,220240.0,221050.0,222608.0,224395.0,226219.0,226390.0,234159.0,242834.0,251110.0,259623.0,267194.0,369354.0,376215.0,385489.0,387249.0,421102.0,426640.0,431019.0,436869.0,439151.0,443451.0,450799.0,461708.0,472007.0,478807.0,486438.0,497716.0,532742.0,638538.0,642078.0,649283.0,655231.0,678416.0,746058.0,748620.0,749098.0,762094.0,778580.0,787038.0,790196.0,796192.0,808302.0,827441.0,848428.0,849194.0,855669.0,871336.0,876438.0,885685.0,896203.0,900182.0,904891.0
+b8_ros_24h	100	0.479708,0.509633,0.52329,0.530791,0.534157,0.536565,0.546148,0.549997,0.555153,0.557318,0.563229,0.563956,0.568204,0.57192,0.577567,0.58032,0.584121,0.587373,0.593106,0.597628,0.602716,0.606785,0.611505,0.616724,0.624202,0.631046,0.653628,0.657163,0.665728,0.668504,0.677634,0.685405,0.68659,0.693385,0.709455,0.716006,0.718647,0.726044,0.729865,0.732562,0.734569,0.735043,0.741081,0.743315,0.7473,0.753317,0.756163,0.76012,0.761103,0.7624,0.769953,0.777288,0.777831,0.778505,0.780108,0.782784,0.789606,0.793563,0.800606,0.811183,0.81855,0.82852,0.830148,0.834437,0.840314,0.846555,0.850785,0.856588,0.86142,0.862355,0.862988,0.867927,0.882214,0.89048,0.894109,0.904826,0.93196,0.952327,0.960983,0.962491,0.965426,0.967201,0.969728,0.988641,0.992695,1.005117,1.013358,1.022882,1.037725,1.048277,1.061676,1.086105,1.100435,1.140666,1.662369
+b8_ros_minus_24h	100	2.53351,2.644827,2.709334,2.749724,2.7825,2.803253,2.814085,2.835354,2.863218,2.865739,2.866517,2.867811,2.88268,2.889789,2.899717,2.909812,2.915991,2.928224,2.941132,2.943387,2.949373,2.954206,2.970901,2.985819,2.991789,3.005112,3.017771,3.024829,3.034362,3.043,3.051064,3.06059,3.070769,3.077231,3.083594,3.096694,3.107579,3.114426,3.119613,3.122722,3.13208,3.136534,3.146154,3.168279,3.175705,3.188326,3.19907,3.208227,3.216458,3.244714,3.252889,3.265017,3.286723,3.298041,3.31794,3.334869,3.339991,3.358982,3.362018,3.37482,3.397611,3.40288,3.418979,3.429904,3.458308,3.467609,3.498752,3.515417,3.560583,3.593773,3.635099,3.657592,3.686725,3.714032,3.742047,3.767249,3.825526,3.867398,4.013796,4.27493,4.287437,4.292974,4.333739,4.456259,4.531156,4.568209,4.607057,4.626853,4.682713,4.733261,4.773203,4.798041,4.896806,5.043842,5.239599,6.30792
+b8_ros_one_24h	100	0.816144,0.834661,0.843064,0.852754,0.868096,0.874533,0.882157,0.885644,0.896982,0.913286,0.934676,0.946742,0.951975,0.965618,0.977547,1.000367,1.009208,1.016108,1.021458,1.031646,1.039667,1.052695,1.07437,1.091112,1.100479,1.108603,1.118529,1.1331,1.137494,1.138283,1.157158,1.161091,1.17203,1.187608,1.193158,1.204998,1.224999,1.240897,1.255023,1.264143,1.266553,1.271692,1.275223,1.284571,1.286756,1.29609,1.298055,1.305953,1.311177,1.314071,1.316841,1.32142,1.330682,1.339487,1.343655,1.35357,1.360175,1.360393,1.361278,1.36216,1.363472,1.372349,1.389695,1.402295,1.415794,1.426894,1.456077,1.486097,1.541077,1.558362,1.580318,1.603228,1.609207,1.615472,1.622761,1.628447,1.631775,1.64686,1.659519,1.665044,1.685745,1.698522,1.708408,1.724948,1.740787,1.782165,1.79783,1.820033,1.842138,1.872637,1.929003,1.997129,2.82295
+b8_rovn_24h	100	0.026259,0.030703,0.032968,0.033471,0.033571,0.034166,0.034575,0.035352,0.036096,0.036753,0.036973,0.037179,0.037322,0.037671,0.038236,0.038554,0.038865,0.039232,0.039493,0.039717,0.04005,0.04029,0.040519,0.040654,0.040799,0.041007,0.041211,0.041409,0.041495,0.041604,0.041887,0.041995,0.042221,0.04229,0.042754,0.042917,0.043006,0.04326,0.043413,0.043447,0.043539,0.043862,0.044271,0.044473,0.044622,0.044724,0.044829,0.044845,0.04515,0.045175,0.045386,0.045564,0.045958,0.046155,0.046215,0.046442,0.046661,0.04682,0.047056,0.047306,0.047467,0.047537,0.047678,0.047941,0.047978,0.048265,0.048359,0.048695,0.048767,0.048889,0.049013,0.049078,0.04922,0.049409,0.049616,0.049772,0.050445,0.051093,0.051598,0.051933,0.052029,0.052272,0.052785,0.053375,0.054093,0.054246,0.054762,0.055213,0.055799,0.05624,0.05698,0.058507,0.060024,0.061672,0.072645
+b1_ros_one_3h	100	0.076923,0.102041,0.125,0.143491,0.15873,0.174672,0.190726,0.20122,0.218523,0.233333,0.246719,0.258324,0.269231,0.278888,0.289096,0.3,0.309524,0.324059,0.333333,0.339535,0.35,0.359477,0.368421,0.378911,0.39,0.395945,0.403974,0.415584,0.425644,0.433511,0.443442,0.451613,0.46267,0.467527,0.476386,0.486486,0.494337,0.5,0.508831,0.515091,0.522727,0.531086,0.540134,0.54665,0.554445,0.565089,0.571054,0.580247,0.590495,0.59847,0.606727,0.613764,0.622458,0.628982,0.636364,0.645778,0.65406,0.663265,0.67181,0.680851,0.686075,0.694981,0.701579,0.711263,0.720155,0.731883,0.741795,0.751437,0.758225,0.769231,0.781818,0.790338,0.8014,0.817026,0.828283,0.8373,0.85122,0.867876,0.876301,0.888889,0.903096,0.917808,0.933519,0.944224,0.957994,0.973051,0.98803,1.006803,1.021703,1.049564,1.067797,1.085098,1.122765,1.152248,1.188414,1.249593,1.3354,1.5,26.0
+b1_rovn_24h	100	0.008744,0.01127,0.013064,0.014376,0.01546,0.016304,0.017136,0.01792,0.018561,0.01915,0.019774,0.020298,0.02085,0.021444,0.022039,0.022563,0.023246,0.023798,0.024261,0.024807,0.025388,0.025975,0.026597,0.027142,0.027524,0.028123,0.028714,0.029265,0.029855,0.030488,0.031045,0.031652,0.0324,0.032911,0.03353,0.034,0.034575,0.035009,0.035578,0.036059,0.036624,0.037306,0.03804,0.038698,0.039185,0.039736,0.040256,0.040862,0.041384,0.041862,0.042327,0.042746,0.043175,0.043549,0.043944,0.044273,0.044585,0.044918,0.04534,0.045733,0.046234,0.046767,0.047172,0.047714,0.048482,0.049008,0.049616,0.050084,0.050885,0.051412,0.052148,0.053077,0.053928,0.054564,0.055292,0.055917,0.056574,0.057536,0.058503,0.059198,0.060388,0.061364,0.062125,0.063122,0.064254,0.06526,0.066373,0.067536,0.068368,0.069495,0.070765,0.072392,0.073883,0.075802,0.078821,0.08166,0.086126,0.09387,0.768421
+b1_rovn_3h	100	0.002809,0.003758,0.004586,0.005205,0.005848,0.00659,0.007236,0.007904,0.008506,0.009076,0.009715,0.010339,0.010992,0.01162,0.012122,0.01268,0.013142,0.013576,0.013966,0.014333,0.014711,0.015101,0.015494,0.01575,0.01607,0.016294,0.016575,0.016788,0.017055,0.017376,0.017644,0.017909,0.018149,0.018375,0.018604,0.018916,0.019171,0.019465,0.019737,0.020061,0.020355,0.020613,0.020896,0.021267,0.021487,0.021807,0.022015,0.022282,0.02253,0.022762,0.023052,0.023362,0.023584,0.02372,0.023997,0.024266,0.024576,0.024866,0.025141,0.025446,0.025662,0.025999,0.026326,0.026573,0.026831,0.02705,0.027385,0.027677,0.028013,0.028334,0.028679,0.028941,0.029264,0.029606,0.02989,0.030347,0.03063,0.031018,0.03141,0.031839,0.032383,0.032936,0.033643,0.034268,0.034781,0.035639,0.03641,0.037196,0.037624,0.038374,0.039392,0.040614,0.042167,0.043626,0.045349,0.047528,0.051054,0.065628,0.9
+b1_str_one_24h	100	0.016913,0.018916,0.020602,0.021667,0.022509,0.022939,0.02346,0.02411,0.024492,0.02481,0.025153,0.025425,0.02574,0.026035,0.026392,0.026663,0.026963,0.027204,0.027522,0.027821,0.028173,0.028434,0.028662,0.028925,0.029125,0.029385,0.029678,0.029992,0.030269,0.030599,0.030833,0.031096,0.031325,0.031608,0.031795,0.032033,0.032293,0.032565,0.032757,0.032965,0.033185,0.033478,0.033937,0.034575,0.034996,0.035349,0.035803,0.036364,0.036882,0.037373,0.037896,0.03845,0.038894,0.039511,0.03985,0.040199,0.040677,0.041078,0.041342,0.041819,0.042395,0.042857,0.043478,0.044049,0.044727,0.045276,0.045751,0.046222,0.046818,0.04742,0.047594,0.047972,0.048193,0.048502,0.049014,0.049507,0.050223,0.050735,0.051489,0.052085,0.052652,0.053309,0.053746,0.054161,0.054748,0.055448,0.056097,0.056679,0.057235,0.057963,0.058973,0.059937,0.060976,0.064103,0.067164,0.069496,0.07104,0.07975,1.0
+b1_str_one_3h	100	0.014423,0.017189,0.019011,0.020294,0.0213,0.022065,0.022749,0.023285,0.023837,0.02439,0.024868,0.025271,0.025641,0.02609,0.02642,0.026807,0.027132,0.027472,0.027899,0.028174,0.02849,0.028904,0.029197,0.029515,0.029788,0.03015,0.030485,0.030875,0.031169,0.031453,0.031756,0.032103,0.032411,0.032756,0.033046,0.033396,0.033763,0.034022,0.034455,0.034828,0.035118,0.035448,0.035831,0.036195,0.036488,0.036822,0.03709,0.037498,0.03786,0.038184,0.038636,0.039029,0.039335,0.039656,0.040071,0.040466,0.040729,0.041108,0.04166,0.041982,0.042428,0.04279,0.043167,0.043666,0.044229,0.044872,0.045376,0.045912,0.046407,0.047125,0.047759,0.048469,0.04895,0.049414,0.050074,0.050712,0.051285,0.051787,0.052329,0.052897,0.053462,0.054109,0.054947,0.055792,0.056603,0.057462,0.058815,0.059727,0.060705,0.062236,0.0643,0.066099,0.068024,0.070725,0.07234,0.075087,0.080753,0.086482,1.0
+b2_return_n_uv_24h	100	3.0,5.0,11.0,16.0,22.0,29.0,39.0,49.0,62.0,73.0,87.0,103.0,121.0,141.0,164.0,192.0,223.0,261.0,302.0,344.0,395.0,452.0,524.0,607.0,695.0,784.0,880.0,991.0,1109.0,1236.0,1407.0,1621.0,1858.0,2084.0,2345.0,2736.0,3044.0,3531.0,4027.0,4558.0,4900.0,5403.0,5925.0,6379.0,6915.0,7572.0,8097.0,8574.0,9121.0,9559.0,9977.0,10404.0,10845.0,11380.0,11882.0,12454.0,13094.0,13836.0,14295.0,14959.0,15531.0,16133.0,16837.0,17541.0,18048.0,18807.0,19767.0,20832.0,21625.0,22738.0,24293.0,26023.0,27806.0,29280.0,30505.0,32152.0,34288.0,36250.0,37768.0,39201.0,40742.0,42156.0,44487.0,47108.0,52045.0,55178.0,59601.0,66595.0,73537.0,83192.0,91107.0,97650.0,105866.0,116210.0,124954.0,138185.0,153350.0,180862.0,212633.0
+b2_return_n_uv_3h	100	2.0,3.0,4.0,5.0,7.0,9.0,11.0,13.0,16.0,19.0,22.0,25.0,29.0,33.0,38.0,43.0,49.0,55.0,61.0,68.0,76.0,85.0,96.0,106.0,118.0,130.0,144.0,158.0,175.0,191.0,205.0,222.0,242.0,262.0,281.0,301.0,325.0,349.0,378.0,410.0,438.0,476.0,518.0,559.0,593.0,637.0,680.0,733.0,780.0,819.0,876.0,923.0,976.0,1037.0,1087.0,1155.0,1246.0,1292.0,1361.0,1418.0,1506.0,1596.0,1656.0,1745.0,1829.0,1926.0,1999.0,2069.0,2195.0,2335.0,2462.0,2572.0,2700.0,2842.0,2965.0,3150.0,3357.0,3599.0,3826.0,4065.0,4306.0,4661.0,5024.0,5298.0,5772.0,6438.0,6844.0,7223.0,7658.0,8600.0,9540.0,9992.0,10487.0,11560.0,13560.0,15091.0,18801.0,35704.0
+b8_str_one_24h	100	0.022307,0.024408,0.024611,0.024785,0.02544,0.026658,0.027389,0.027819,0.028302,0.028589,0.028695,0.028774,0.028842,0.02894,0.028997,0.029121,0.029273,0.029396,0.029509,0.029523,0.029573,0.029651,0.029746,0.030023,0.030205,0.030266,0.030415,0.030661,0.030692,0.030741,0.030884,0.030992,0.031121,0.031184,0.03124,0.031294,0.032021,0.033165,0.033503,0.033865,0.033976,0.034051,0.034184,0.034395,0.034898,0.035011,0.035128,0.035169,0.03523,0.035405,0.035474,0.035508,0.03563,0.035664,0.035786,0.035947,0.036117,0.036278,0.036294,0.036306,0.03637,0.036385,0.03648,0.036547,0.036618,0.036717,0.036798,0.036867,0.037114,0.037248,0.03727,0.03856,0.040303,0.040647,0.0408,0.040983,0.041422,0.041889,0.042342,0.044171,0.045071,0.045536,0.046055,0.047487,0.049244,0.049558,0.04981,0.049864,0.050139,0.05027,0.050508,0.050574,0.050621,0.050707,0.053162
+b9_return_n_uv_24h	100	1242.0,2426.0,4174.0,8065.0,12345.0,16199.0,18122.0,19710.0,22261.0,23276.0,24082.0,25311.0,26692.0,27930.0,29144.0,30724.0,33054.0,34218.0,36922.0,41758.0,45696.0,48103.0,51354.0,53642.0,58029.0,60854.0,64102.0,66810.0,68463.0,70753.0,75038.0,78026.0,81657.0,85244.0,88511.0,92187.0,95251.0,99322.0,106322.0,117931.0,122327.0,124877.0,127881.0,130050.0,132791.0,135765.0,137964.0,140843.0,142919.0,144021.0,147708.0,154097.0,155854.0,158088.0,160159.0,162011.0,165508.0,171266.0,179569.0,192874.0,195887.0,198301.0,201683.0,203339.0,207638.0,208412.0,218431.0,226285.0,235304.0,238618.0,247973.0,254490.0,259650.0,266430.0,269054.0,274547.0,284984.0,295547.0,302224.0,302962.0,319267.0,333048.0,336140.0,339061.0,341106.0,341989.0,348122.0,350711.0,351661.0,352740.0,359594.0,372117.0,378017.0,383436.0,385860.0,400416.0,476054.0
+b9_ros_24h	100	0.269164,0.306021,0.324761,0.358542,0.408245,0.441955,0.465544,0.491522,0.498536,0.498939,0.50723,0.518943,0.523263,0.52536,0.531241,0.534997,0.537714,0.541294,0.544515,0.547774,0.553863,0.556355,0.565357,0.574476,0.578025,0.580797,0.583528,0.585196,0.586801,0.593044,0.596022,0.605644,0.606838,0.613959,0.619504,0.628314,0.636143,0.641621,0.653372,0.664359,0.674315,0.679129,0.69467,0.705752,0.712802,0.720449,0.725401,0.726868,0.729659,0.730796,0.735217,0.737171,0.741933,0.744912,0.747552,0.755608,0.758443,0.759732,0.764495,0.770542,0.777481,0.789394,0.792449,0.805442,0.811027,0.825334,0.833975,0.844132,0.853953,0.87104,0.88766,0.896434,0.901898,0.916788,0.932924,0.946793,0.95904,0.97155,0.978101,0.986475,0.999544,1.015589,1.025678,1.038462,1.056992,1.07854,1.104523,1.136804,1.182624,1.2193,1.256427,1.311314,1.350581,1.380358,1.406416,1.442125,3.083333
+b9_ros_minus_24h	100	1.935424,2.052027,2.087068,2.108927,2.115431,2.168837,2.222973,2.264416,2.32246,2.352724,2.423118,2.512207,2.558366,2.577301,2.611648,2.654243,2.669771,2.695737,2.702072,2.714355,2.734122,2.7825,2.805069,2.814059,2.826532,2.829973,2.848041,2.854282,2.864183,2.874181,2.889068,2.89513,2.914688,2.932741,2.946328,2.957748,2.974769,3.016759,3.04427,3.059951,3.076344,3.133014,3.182764,3.206379,3.22137,3.254386,3.293109,3.334868,3.351631,3.378302,3.38171,3.39503,3.414372,3.422616,3.434231,3.453475,3.457567,3.467338,3.483959,3.491647,3.508883,3.509934,3.517749,3.545076,3.555847,3.571651,3.600567,3.631191,3.649885,3.663267,3.688702,3.722219,3.73758,3.769444,3.798946,3.835767,3.855966,3.884836,3.943645,4.012788,4.139779,4.294719,4.397308,4.484245,4.519464,4.562324,4.667582,4.726675,4.803097,4.894217,4.995665,5.120842,5.359794,5.502916,5.589343,5.655956,12.333333
+b9_ros_one_24h	100	0.40257,0.463561,0.504993,0.550016,0.710134,0.757546,0.792283,0.811219,0.831566,0.838296,0.867039,0.867994,0.874838,0.887483,0.889448,0.897995,0.900169,0.917337,0.927068,0.938083,0.940317,0.94688,0.959057,0.963636,0.980558,0.988772,1.001134,1.017519,1.038644,1.048481,1.049768,1.054526,1.077203,1.10073,1.119688,1.129083,1.139318,1.145239,1.151073,1.164025,1.176549,1.198108,1.199258,1.211212,1.231977,1.247452,1.249721,1.256395,1.263972,1.271759,1.277599,1.28506,1.288762,1.292732,1.294602,1.301255,1.309423,1.314376,1.316782,1.319823,1.323983,1.330497,1.342883,1.357382,1.368721,1.389026,1.40088,1.433873,1.466982,1.498265,1.519726,1.554372,1.585801,1.59419,1.616112,1.631912,1.659354,1.674894,1.680639,1.68973,1.698833,1.709088,1.729705,1.746485,1.764327,1.787163,1.826258,1.861154,1.937524,2.025626,2.08629,2.177321,2.255467,2.397411,2.449836,2.503277,4.625
+b9_rovn_24h	100	0.021858,0.024216,0.025474,0.026034,0.027124,0.028247,0.029653,0.030733,0.031887,0.032434,0.032614,0.033146,0.033558,0.033935,0.034231,0.034614,0.03492,0.035744,0.036218,0.036452,0.036801,0.037441,0.037703,0.038054,0.038483,0.038765,0.039072,0.039406,0.039548,0.039765,0.040037,0.04028,0.04048,0.040877,0.040975,0.041126,0.041217,0.041439,0.041552,0.041599,0.041725,0.041849,0.042081,0.042264,0.042315,0.042523,0.042786,0.042995,0.043182,0.043385,0.043506,0.043621,0.043838,0.044087,0.044233,0.044287,0.044457,0.044754,0.045078,0.045249,0.045536,0.045776,0.045882,0.046083,0.046344,0.046522,0.046878,0.046982,0.047113,0.047496,0.047775,0.048274,0.048436,0.048881,0.049692,0.050577,0.051505,0.053051,0.054018,0.054275,0.054279,0.055191,0.056898,0.058477,0.05917,0.060019,0.061626,0.063124,0.064198,0.065481,0.065948,0.067606,0.068957,0.070605,0.073263,0.157143
+b9_str_one_24h	100	0.022056,0.022834,0.023842,0.024194,0.024428,0.024579,0.024738,0.024881,0.025225,0.02607,0.026437,0.026751,0.027184,0.027379,0.027578,0.027684,0.02778,0.027948,0.028044,0.028158,0.028267,0.028347,0.028384,0.028491,0.028618,0.028711,0.028904,0.028984,0.029106,0.029239,0.029446,0.029623,0.02975,0.029915,0.030165,0.030486,0.030683,0.031118,0.031449,0.031805,0.03195,0.032241,0.032338,0.032589,0.032768,0.032961,0.033116,0.033237,0.033379,0.03358,0.033892,0.034254,0.034623,0.034767,0.034825,0.034953,0.035515,0.035864,0.036431,0.036948,0.038198,0.038704,0.039272,0.039585,0.039768,0.040116,0.040241,0.040877,0.041844,0.045204,0.04775,0.04805,0.048606,0.048691,0.048761,0.048779,0.048823,0.048971,0.049166,0.04933,0.049561,0.049797,0.049904,0.050034,0.050289,0.050425,0.050648,0.050734,0.050873,0.052256,0.052297,0.052594,0.052822,0.053724,0.05568,0.056394,0.056751,0.1
+b13_ros_3h	100	0.046512,0.058455,0.071429,0.081784,0.091637,0.099744,0.108871,0.116721,0.125,0.132467,0.140371,0.147482,0.153153,0.160131,0.165479,0.169773,0.174978,0.179455,0.185484,0.188383,0.19182,0.197115,0.201248,0.207831,0.210561,0.214447,0.218813,0.224283,0.229236,0.23344,0.239182,0.245078,0.25,0.253701,0.259409,0.26429,0.268723,0.273344,0.276341,0.279693,0.285488,0.289389,0.294722,0.299209,0.303299,0.307013,0.308822,0.312757,0.317647,0.321758,0.327714,0.332325,0.336224,0.341618,0.347333,0.351145,0.356287,0.361803,0.367102,0.372064,0.3794,0.384615,0.391635,0.39851,0.40356,0.408839,0.414097,0.421024,0.425113,0.43007,0.437768,0.442809,0.449616,0.455776,0.463861,0.467699,0.475046,0.482321,0.487837,0.496077,0.505314,0.510489,0.521695,0.53274,0.544501,0.554945,0.568624,0.579536,0.588031,0.603674,0.616167,0.631579,0.657534,0.682879,0.710882,0.751267,0.803134,0.877305,11.0
+b13_ros_minus_24h	100	1.222222,1.444444,1.529412,1.622378,1.683979,1.73029,1.780044,1.81804,1.859961,1.901961,1.945783,1.982959,2.005682,2.045977,2.076923,2.119718,2.151052,2.184739,2.216288,2.257948,2.288043,2.321739,2.348409,2.375,2.411726,2.436782,2.460381,2.476852,2.5,2.516129,2.539683,2.554765,2.571921,2.59447,2.623918,2.640841,2.663947,2.69864,2.734151,2.764103,2.786154,2.817857,2.854839,2.883223,2.911543,2.949275,2.977465,3.006418,3.031712,3.062218,3.097561,3.137615,3.1875,3.215962,3.243289,3.273174,3.331662,3.379006,3.423913,3.47012,3.502693,3.540597,3.58406,3.617386,3.650332,3.684536,3.717296,3.745638,3.762078,3.789065,3.809915,3.83909,3.866238,3.892057,3.919435,3.944444,3.974215,4.008026,4.045326,4.094265,4.158581,4.217391,4.269184,4.310509,4.360363,4.418975,4.469113,4.546095,4.648506,4.766152,4.859935,4.987966,5.187161,5.359033,5.592162,5.905172,6.295086,6.505839,39.0
+b13_ros_minus_3h	100	1.0,1.042553,1.125,1.166667,1.211538,1.25,1.275,1.305019,1.333333,1.364874,1.384615,1.418033,1.434783,1.469828,1.49867,1.510204,1.532808,1.555556,1.582305,1.592742,1.614907,1.629032,1.65,1.666922,1.689103,1.709677,1.727437,1.746988,1.760976,1.771185,1.789474,1.80417,1.822222,1.838235,1.855263,1.871972,1.888498,1.903673,1.923077,1.942238,1.962282,1.980392,2.0,2.016393,2.034694,2.05,2.068901,2.087829,2.107843,2.122794,2.140135,2.152745,2.169892,2.186654,2.2,2.214815,2.225352,2.25,2.265432,2.280077,2.295181,2.308475,2.331816,2.344884,2.368479,2.387665,2.405063,2.425676,2.443885,2.452632,2.470649,2.487342,2.513233,2.538462,2.564259,2.588235,2.609511,2.641611,2.664286,2.692308,2.715324,2.746154,2.781686,2.821463,2.869504,2.920419,2.987374,3.036474,3.087529,3.163142,3.276473,3.409853,3.514456,3.755839,4.024631,32.0
+b13_ros_one_24h	100	0.23694,0.285403,0.325262,0.349055,0.379679,0.406593,0.435845,0.461538,0.485892,0.502396,0.518143,0.539676,0.559006,0.576803,0.593066,0.611796,0.629297,0.645124,0.663118,0.677499,0.690331,0.704444,0.718295,0.735187,0.747754,0.760364,0.77215,0.79096,0.804275,0.818182,0.833333,0.848741,0.86151,0.87554,0.89049,0.910714,0.925926,0.940594,0.953757,0.971464,0.993044,1.0107,1.029661,1.03942,1.056257,1.073654,1.091978,1.108271,1.128463,1.14425,1.1635,1.178979,1.197269,1.216814,1.236177,1.254353,1.278351,1.299758,1.326745,1.349825,1.374138,1.399022,1.423985,1.444215,1.475339,1.504002,1.519437,1.532207,1.549671,1.55929,1.575237,1.597722,1.616409,1.630541,1.644941,1.669704,1.68892,1.704726,1.722063,1.749315,1.767787,1.794936,1.81279,1.835278,1.860094,1.878451,1.89562,1.91755,1.944211,1.97389,2.031246,2.075654,2.141713,2.259679,2.441248,2.625032,2.860999,2.968431,19.5
+b13_ros_one_3h	100	0.069264,0.090395,0.110778,0.12987,0.143939,0.156522,0.170732,0.188719,0.2,0.215686,0.22824,0.236593,0.25,0.260465,0.270642,0.281553,0.290579,0.299247,0.308145,0.317574,0.329515,0.333811,0.34432,0.354726,0.365385,0.376471,0.384615,0.390173,0.39886,0.408451,0.419657,0.429134,0.436524,0.446599,0.455485,0.464912,0.471916,0.477903,0.485526,0.494481,0.5,0.506198,0.515152,0.523559,0.531258,0.538157,0.547513,0.556682,0.564103,0.569567,0.577982,0.586268,0.593224,0.601404,0.609767,0.618893,0.625997,0.634247,0.642537,0.650504,0.658537,0.667494,0.677677,0.684973,0.693468,0.698127,0.707209,0.71773,0.726875,0.738953,0.748954,0.759146,0.765786,0.778471,0.791367,0.804224,0.814026,0.828125,0.840206,0.854964,0.867077,0.88289,0.896907,0.908466,0.924528,0.939229,0.958333,0.978022,0.993192,1.009945,1.033528,1.059524,1.085197,1.111279,1.142569,1.200069,1.284848,1.457746,13.25
+b13_rovn_24h	100	0.00805,0.01113,0.013079,0.014843,0.016129,0.017085,0.017916,0.018803,0.019692,0.020451,0.021133,0.021697,0.022198,0.022749,0.023335,0.023995,0.024636,0.025263,0.025785,0.02627,0.026735,0.027322,0.027846,0.028407,0.028974,0.029459,0.030025,0.030586,0.031154,0.031729,0.032344,0.032887,0.03372,0.034521,0.03507,0.035719,0.036358,0.036814,0.037354,0.038037,0.038693,0.03929,0.039849,0.040358,0.041043,0.041523,0.04197,0.042579,0.043126,0.043631,0.044095,0.044553,0.04502,0.045525,0.046045,0.046603,0.046995,0.047445,0.047893,0.048307,0.048746,0.049269,0.049772,0.050284,0.050732,0.05124,0.051797,0.052514,0.053462,0.054199,0.054878,0.055603,0.05637,0.057123,0.057835,0.058762,0.059835,0.06108,0.062268,0.06351,0.064152,0.064575,0.06545,0.066406,0.067165,0.068347,0.069319,0.071218,0.072778,0.07368,0.07446,0.075477,0.076274,0.077134,0.080064,0.086019,0.088814,0.10036,10.0
+b13_rovn_3h	100	0.002443,0.003413,0.004072,0.004762,0.005333,0.006028,0.006667,0.007246,0.00788,0.008479,0.009067,0.009667,0.010218,0.010836,0.011348,0.011869,0.012399,0.012885,0.013335,0.01371,0.014164,0.014434,0.014752,0.015147,0.015432,0.01572,0.016084,0.016354,0.016599,0.016838,0.017054,0.017326,0.017537,0.017828,0.018075,0.018229,0.018457,0.018681,0.018862,0.019046,0.019247,0.019486,0.019721,0.019994,0.020152,0.020412,0.020706,0.02094,0.021221,0.02144,0.021638,0.021882,0.022192,0.022443,0.022679,0.022938,0.023149,0.023359,0.023645,0.023837,0.024106,0.024337,0.024644,0.024893,0.025194,0.025551,0.025813,0.02617,0.026493,0.026797,0.027051,0.027416,0.027685,0.027982,0.028331,0.028652,0.02893,0.029461,0.029921,0.03039,0.030729,0.031074,0.031622,0.032131,0.032633,0.033187,0.03384,0.034456,0.035231,0.035945,0.036881,0.037453,0.03865,0.039597,0.042418,0.045848,0.04768,0.05884,10.0
+c1_return_1_uv_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,17.0,18.0,19.0,20.0,21.0,22.0,23.0,24.0,25.0,26.0,27.0,29.0,30.0,32.0,34.0,36.0,38.0,40.0,43.0,46.0,49.0,54.0,59.0,65.0,74.0,85.0,103.0,138.0,1114.0
+c1_return_1_uv_24h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,18.0,19.0,21.0,23.0,26.0,30.0,36.0,48.0,312.0
+c1_return_1_uv_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,17.0,18.0,19.0,20.0,21.0,23.0,24.0,25.0,27.0,29.0,31.0,34.0,37.0,41.0,46.0,52.0,63.0,84.0,639.0
+c1_ros_12h	100	0.018182,0.026316,0.033333,0.04,0.045455,0.050633,0.055556,0.061644,0.066667,0.071429,0.076923,0.083333,0.086957,0.090909,0.1,0.111111,0.117647,0.125,0.133333,0.142857,0.15,0.157895,0.166667,0.181818,0.1875,0.2,0.203704,0.219512,0.225806,0.24,0.25,0.264706,0.278689,0.285714,0.3,0.315789,0.333333,0.368421,0.384615,0.4,0.428571,0.444444,0.5,0.555556,0.6,0.611111,0.666667,0.727273,0.75,0.8,0.857143,1.0,1.045455,1.2,1.333333,1.461538,1.5,1.75,2.0,2.25,2.666667,3.0,4.0,6.0,99.0
+c1_ros_168h	100	0.025641,0.039216,0.05,0.059701,0.068935,0.076923,0.085106,0.093333,0.1,0.111111,0.117647,0.125,0.133333,0.142857,0.146667,0.15625,0.166667,0.177778,0.186207,0.197368,0.2,0.204301,0.214286,0.222222,0.232558,0.244444,0.25,0.259259,0.272727,0.282051,0.287037,0.3,0.310345,0.324324,0.333333,0.345679,0.359589,0.375,0.384615,0.4,0.418919,0.428571,0.444444,0.461538,0.484848,0.5,0.505155,0.535714,0.555556,0.571429,0.6,0.611111,0.636364,0.666667,0.6875,0.714286,0.75,0.769231,0.8,0.833333,0.872727,0.916667,1.0,1.055556,1.129032,1.2,1.25,1.333333,1.411765,1.5,1.576923,1.666667,1.827586,2.0,2.2,2.411765,2.666667,3.0,3.32,3.916667,4.5,5.8,8.3125,139.0
+c1_ros_24h	100	0.020408,0.029412,0.037313,0.044444,0.051282,0.057554,0.0625,0.069767,0.076923,0.083333,0.087719,0.091837,0.1,0.105263,0.111111,0.116883,0.125,0.135135,0.142857,0.153846,0.163934,0.166667,0.177778,0.1875,0.2,0.208333,0.222222,0.227273,0.23913,0.25,0.272727,0.285714,0.3,0.318182,0.333333,0.357143,0.375,0.392857,0.4,0.411765,0.428571,0.446429,0.478261,0.5,0.52439,0.555556,0.583333,0.6,0.64,0.666667,0.7,0.75,0.761905,0.8,0.857143,0.9375,1.0,1.166667,1.25,1.333333,1.5,1.545455,1.714286,2.0,2.428571,2.777778,3.0,4.0,5.0,7.0,139.0
+c1_ros_72h	100	0.022727,0.034483,0.044248,0.052632,0.060606,0.06823,0.076923,0.083333,0.090909,0.1,0.105263,0.111111,0.118644,0.125,0.133333,0.142857,0.153846,0.162791,0.166667,0.171429,0.181818,0.189655,0.2,0.205128,0.214286,0.222222,0.233766,0.25,0.257143,0.27027,0.282051,0.285714,0.3,0.3125,0.333333,0.336538,0.357143,0.375,0.384615,0.4,0.422222,0.434783,0.452381,0.471429,0.5,0.538462,0.5625,0.583333,0.6,0.625,0.666667,0.714286,0.75,0.763158,0.8,0.833333,0.884615,0.95122,1.0,1.05,1.142857,1.214286,1.296296,1.368421,1.5,1.521739,1.666667,1.804348,2.0,2.2,2.5,2.75,3.0,3.5,4.2,5.333333,8.0,139.0
+c1_ros_minus_12h	100	1.125,1.2,1.25,1.272727,1.333333,1.375,1.5,1.666667,1.75,2.0,2.285714,2.5,2.666667,3.0,3.5,3.666667,4.0,4.333333,5.0,6.0,6.5,7.5,9.0,13.0,162.0
+b1_return_1_uv_24h	100	3.0,7.0,14.0,21.0,28.0,38.0,50.0,63.0,76.0,93.0,109.0,128.0,149.0,175.0,203.0,236.0,274.0,320.0,369.0,413.0,466.0,540.0,620.0,719.0,802.0,910.0,1021.0,1133.0,1271.0,1418.0,1601.0,1850.0,2074.0,2363.0,2672.0,3010.0,3497.0,3933.0,4599.0,5054.0,5504.0,6018.0,6659.0,7299.0,8077.0,8635.0,9302.0,9926.0,10424.0,10928.0,11419.0,11941.0,12461.0,13015.0,13684.0,14467.0,15122.0,15816.0,16444.0,17003.0,17761.0,18477.0,19256.0,19934.0,20693.0,21381.0,22219.0,23482.0,24629.0,26158.0,27819.0,29169.0,31014.0,32799.0,34085.0,35892.0,38594.0,41736.0,43358.0,45133.0,47085.0,48968.0,50861.0,55250.0,58536.0,63387.0,68671.0,75116.0,84058.0,94646.0,103466.0,111069.0,124207.0,142011.0,148391.0,162443.0,176908.0,225428.0,249694.0
+b1_return_1_uv_3h	100	2.0,3.0,5.0,7.0,9.0,11.0,14.0,16.0,19.0,23.0,27.0,31.0,35.0,40.0,46.0,52.0,59.0,66.0,73.0,82.0,93.0,104.0,115.0,130.0,144.0,160.0,177.0,196.0,217.0,234.0,255.0,274.0,296.0,316.0,345.0,380.0,407.0,442.0,470.0,496.0,552.0,600.0,633.0,684.0,732.0,781.0,832.0,893.0,944.0,997.0,1072.0,1117.0,1197.0,1269.0,1352.0,1426.0,1492.0,1583.0,1663.0,1755.0,1834.0,1907.0,1974.0,2058.0,2181.0,2257.0,2334.0,2465.0,2591.0,2719.0,2865.0,3067.0,3238.0,3484.0,3640.0,3782.0,4031.0,4279.0,4545.0,4798.0,5142.0,5599.0,6036.0,6709.0,7346.0,7847.0,8555.0,9142.0,10124.0,10925.0,11573.0,12672.0,13794.0,15196.0,17196.0,20043.0,24952.0,41064.0
+b1_ros_24h	100	0.143564,0.177464,0.2,0.218541,0.230769,0.242386,0.255781,0.266667,0.277778,0.287879,0.298969,0.309158,0.319664,0.328,0.335849,0.342857,0.353222,0.361111,0.369183,0.375501,0.386298,0.394297,0.401674,0.410169,0.416892,0.422754,0.429751,0.437136,0.44429,0.452108,0.460067,0.467971,0.477032,0.486347,0.496,0.504374,0.513655,0.521313,0.530965,0.537786,0.547033,0.554585,0.563727,0.572652,0.579572,0.587399,0.597015,0.606566,0.614681,0.62153,0.630649,0.638205,0.649307,0.659411,0.666558,0.674488,0.685275,0.69571,0.705064,0.713542,0.723082,0.740457,0.752969,0.760161,0.770661,0.781736,0.791484,0.806199,0.819383,0.833333,0.847559,0.865155,0.882039,0.893304,0.90165,0.911283,0.919525,0.92584,0.937374,0.951557,0.97011,0.984921,0.996199,1.007182,1.021066,1.037635,1.061991,1.083812,1.111276,1.136399,1.166729,1.19533,1.238853,1.281048,1.303244,1.35419,1.398822,1.471906,12.0
+b1_ros_3h	100	0.050898,0.065972,0.078947,0.090909,0.098778,0.107955,0.115414,0.125,0.133333,0.14128,0.149398,0.156767,0.163563,0.169096,0.174425,0.180657,0.18546,0.189036,0.193651,0.198413,0.20274,0.207281,0.210313,0.214286,0.220185,0.223669,0.227682,0.232558,0.238059,0.243037,0.25,0.254777,0.258258,0.264264,0.268434,0.273585,0.279309,0.283549,0.286759,0.291165,0.29553,0.299825,0.303961,0.309322,0.313012,0.316906,0.321904,0.324324,0.329257,0.333333,0.337194,0.340338,0.345828,0.351295,0.355083,0.3619,0.368715,0.376426,0.382084,0.388889,0.396377,0.403017,0.410077,0.41338,0.419763,0.425287,0.432106,0.437691,0.444444,0.450549,0.454701,0.46141,0.465649,0.470588,0.475428,0.481855,0.487805,0.495413,0.502182,0.510716,0.520384,0.531203,0.539907,0.549277,0.56019,0.57124,0.580541,0.589291,0.604047,0.616092,0.631068,0.652043,0.671011,0.694211,0.721449,0.764552,0.807214,0.885714,9.5
+b1_ros_minus_24h	100	1.166667,1.375,1.5,1.592,1.641026,1.689388,1.739837,1.77512,1.806122,1.849697,1.889741,1.927419,1.963403,2.0,2.017493,2.054264,2.08476,2.112311,2.145129,2.183453,2.206547,2.22807,2.255814,2.287456,2.308786,2.324931,2.34229,2.363636,2.378715,2.397321,2.411232,2.428311,2.451142,2.470998,2.48984,2.510251,2.539161,2.5625,2.596693,2.620424,2.645426,2.666667,2.690533,2.721053,2.756098,2.776621,2.807218,2.831461,2.85975,2.89824,2.924528,2.949123,2.981455,3.00443,3.041203,3.082729,3.120342,3.157473,3.190897,3.223395,3.25882,3.272727,3.307164,3.332136,3.367777,3.400953,3.43273,3.455539,3.478007,3.501772,3.512487,3.540374,3.56939,3.596831,3.631579,3.652188,3.679661,3.702474,3.740707,3.776833,3.83944,3.889792,3.941346,3.982591,4.023018,4.088167,4.146067,4.205,4.298851,4.392105,4.485272,4.58279,4.698049,4.888602,5.055311,5.250244,5.337,5.524908,36.0
+b1_ros_minus_3h	100	1.125,1.189655,1.217391,1.25,1.285714,1.333333,1.363636,1.393433,1.404762,1.432432,1.461589,1.492537,1.5,1.524272,1.547798,1.566667,1.587102,1.602459,1.62766,1.645038,1.662269,1.678571,1.708525,1.726787,1.740741,1.75,1.764957,1.780016,1.793103,1.808756,1.820833,1.834913,1.858974,1.881988,1.90081,1.92268,1.938733,1.955381,1.968354,1.992593,2.0,2.009673,2.025962,2.041929,2.054485,2.074875,2.090909,2.111765,2.126712,2.142857,2.155246,2.169326,2.187415,2.201123,2.214141,2.22449,2.243243,2.260802,2.279396,2.3,2.314989,2.327904,2.343915,2.364785,2.391398,2.412214,2.426818,2.44672,2.462185,2.482419,2.502486,2.526718,2.555126,2.575758,2.600821,2.629717,2.650049,2.672052,2.698433,2.722912,2.749693,2.782597,2.813164,2.862642,2.9,2.951289,3.0,3.045756,3.115385,3.20856,3.30343,3.401598,3.559932,3.75,4.039743,40.0
+b1_ros_one_24h	100	0.235187,0.283432,0.323854,0.34883,0.375,0.401537,0.430388,0.455875,0.476361,0.49635,0.511115,0.526136,0.541667,0.557573,0.572308,0.589532,0.603901,0.622449,0.634237,0.650468,0.666571,0.681005,0.696152,0.710171,0.725263,0.74026,0.751096,0.762201,0.775578,0.784986,0.8,0.815959,0.828671,0.846154,0.864839,0.877872,0.891473,0.907701,0.930654,0.946568,0.961715,0.976771,0.987324,1.0,1.011179,1.031784,1.046912,1.065318,1.082466,1.09504,1.111111,1.127028,1.140045,1.155689,1.180124,1.199452,1.213512,1.23301,1.252873,1.276424,1.297987,1.319256,1.344203,1.363964,1.380391,1.400823,1.414905,1.429007,1.443371,1.460792,1.476163,1.489373,1.503837,1.520885,1.543371,1.561265,1.577238,1.598017,1.610625,1.630105,1.652641,1.673806,1.696657,1.714171,1.733603,1.754264,1.777316,1.794051,1.816151,1.843916,1.88481,1.929171,2.013379,2.106469,2.223631,2.402791,2.493398,2.597795,12.166667
+b5_return_n_uv_24h	100	2.0,3.0,4.0,5.0,7.0,8.0,9.0,11.0,13.0,15.0,17.0,20.0,23.0,26.0,30.0,34.0,38.0,44.0,49.0,56.0,62.0,70.0,78.0,87.0,97.0,107.0,119.0,130.0,142.0,155.0,168.0,183.0,197.0,212.0,226.0,242.0,257.0,274.0,290.0,307.0,324.0,342.0,361.0,381.0,400.0,422.0,445.0,470.0,492.0,518.0,546.0,574.0,604.0,633.0,663.0,696.0,729.0,765.0,802.0,839.0,879.0,921.0,965.0,1011.0,1057.0,1107.0,1157.0,1218.0,1281.0,1352.0,1420.0,1496.0,1589.0,1681.0,1779.0,1872.0,1983.0,2106.0,2246.0,2406.0,2580.0,2760.0,2963.0,3187.0,3443.0,3704.0,4026.0,4443.0,4968.0,5621.0,6348.0,7201.0,8613.0,10723.0,17368.0
+b5_ros_24h	100	0.083333,0.111111,0.133333,0.15,0.166667,0.181818,0.197368,0.208333,0.222222,0.235294,0.25,0.256956,0.270833,0.28436,0.296296,0.308824,0.321149,0.333333,0.34,0.352941,0.364162,0.375,0.385845,0.397112,0.406452,0.418283,0.428571,0.439963,0.450082,0.461456,0.471698,0.482805,0.494265,0.5,0.508559,0.52017,0.530562,0.541583,0.552737,0.563771,0.574297,0.58502,0.597403,0.607143,0.617391,0.627972,0.639155,0.651079,0.663415,0.672897,0.684791,0.695847,0.708475,0.720541,0.731751,0.742902,0.753846,0.766552,0.777778,0.792224,0.804281,0.818348,0.831812,0.84473,0.857678,0.871026,0.884754,0.898053,0.911299,0.92467,0.937535,0.951456,0.96732,0.982906,1.0,1.005411,1.023529,1.042517,1.063745,1.084683,1.105832,1.127891,1.152518,1.175673,1.198347,1.222582,1.251059,1.284067,1.321716,1.359148,1.403941,1.45098,1.503497,1.565044,1.625387,1.693182,1.807221,2.056604,209.0
+b5_ros_minus_24h	100	1.0,1.214286,1.319149,1.377358,1.461538,1.5,1.564103,1.625,1.666667,1.736842,1.791667,1.843478,1.890323,1.943662,2.0,2.00369,2.057143,2.10411,2.143836,2.184932,2.224359,2.257813,2.296296,2.333333,2.367089,2.403226,2.43956,2.474026,2.5,2.534483,2.571429,2.605769,2.641791,2.674797,2.711957,2.748538,2.783251,2.819149,2.856164,2.889524,2.928803,2.966443,3.0,3.016309,3.054737,3.092308,3.131841,3.170455,3.208333,3.249128,3.285924,3.325926,3.360841,3.4,3.442786,3.481928,3.513889,3.55814,3.596819,3.636364,3.671875,3.713115,3.75,3.790648,3.830882,3.873016,3.916667,3.960784,4.0,4.030206,4.07179,4.117331,4.167238,4.218028,4.274536,4.333333,4.398268,4.466667,4.533528,4.619403,4.706499,4.811111,4.922426,5.018519,5.166395,5.337079,5.536082,5.734375,5.976027,6.208573,6.5,6.847682,7.783951,209.0
+b5_ros_one_24h	100	0.142857,0.183432,0.219512,0.25,0.277778,0.305556,0.333333,0.349693,0.375,0.4,0.418605,0.444444,0.466667,0.491228,0.5,0.516129,0.538462,0.55814,0.577465,0.6,0.616477,0.636076,0.658416,0.672414,0.693122,0.713171,0.732804,0.75,0.769231,0.790426,0.809091,0.82852,0.848527,0.867647,0.885463,0.905914,0.924837,0.945838,0.966466,0.987113,1.0,1.001647,1.02267,1.043478,1.064516,1.085672,1.106061,1.126514,1.148515,1.170204,1.193651,1.213706,1.23324,1.252583,1.27451,1.297297,1.320809,1.339286,1.361883,1.381588,1.402632,1.424242,1.446281,1.468933,1.490859,1.507732,1.530214,1.550577,1.571429,1.590643,1.612013,1.635359,1.655949,1.675169,1.697945,1.722222,1.745549,1.768041,1.794326,1.821029,1.852018,1.885491,1.917323,1.953281,1.989919,2.020752,2.068966,2.121665,2.17614,2.23965,2.312057,2.386958,2.492386,2.61435,2.739583,2.912268,3.073406,3.373619,209.0
+b5_rovn_24h	100	0.005181,0.007109,0.008696,0.01016,0.011466,0.012615,0.013687,0.014706,0.015712,0.016667,0.017544,0.018509,0.01941,0.020243,0.021123,0.022008,0.022857,0.023703,0.024507,0.025335,0.02616,0.026953,0.027719,0.028514,0.029277,0.030072,0.03084,0.031626,0.032355,0.033071,0.03381,0.034483,0.035182,0.035885,0.036608,0.037338,0.038015,0.038668,0.039295,0.039921,0.040543,0.041169,0.041802,0.042403,0.043023,0.043592,0.044216,0.044855,0.045455,0.046077,0.04667,0.04726,0.047876,0.048469,0.049069,0.049637,0.050286,0.050961,0.051621,0.052316,0.052965,0.053697,0.054399,0.055102,0.055807,0.056541,0.057271,0.057992,0.058769,0.059551,0.060399,0.061297,0.062059,0.062926,0.063881,0.064878,0.065783,0.066663,0.067476,0.06843,0.069558,0.070656,0.071789,0.072849,0.073944,0.075,0.076389,0.077784,0.079303,0.081039,0.08265,0.084844,0.087561,0.090909,0.094697,0.098911,0.106288,0.120704,10.0
+b5_str_one_24h	100	0.012821,0.016129,0.018182,0.019608,0.02063,0.021431,0.022114,0.022727,0.02325,0.023736,0.024162,0.024594,0.024989,0.025365,0.025714,0.026086,0.026425,0.026745,0.027058,0.027395,0.027713,0.02803,0.02834,0.028633,0.028957,0.02925,0.029553,0.029863,0.030216,0.030558,0.030911,0.03125,0.031614,0.032009,0.032381,0.03278,0.033179,0.033582,0.034043,0.034483,0.034966,0.035458,0.035936,0.036431,0.036884,0.037316,0.037798,0.038298,0.038743,0.039216,0.039692,0.040184,0.040756,0.041305,0.041814,0.042354,0.042872,0.043382,0.043851,0.044424,0.044968,0.045509,0.046086,0.046678,0.047244,0.047719,0.048246,0.048872,0.049457,0.05,0.050552,0.051148,0.051783,0.052367,0.052977,0.053667,0.054318,0.055038,0.055733,0.056629,0.057471,0.05824,0.058987,0.059874,0.060804,0.061856,0.063014,0.064169,0.065517,0.067004,0.068627,0.070351,0.072359,0.074885,0.078098,0.082247,0.088536,0.1,1.0
+b6_return_n_uv_24h	100	2.0,3.0,5.0,6.0,7.0,9.0,11.0,14.0,16.0,19.0,23.0,26.0,30.0,35.0,40.0,46.0,52.0,60.0,68.0,77.0,88.0,98.0,110.0,124.0,138.0,154.0,174.0,194.0,214.0,239.0,266.0,297.0,328.0,367.0,408.0,455.0,502.0,556.0,622.0,679.0,747.0,817.0,889.0,969.0,1047.0,1131.0,1211.0,1280.0,1379.0,1474.0,1568.0,1653.0,1737.0,1831.0,1935.0,2033.0,2130.0,2250.0,2364.0,2483.0,2608.0,2751.0,2882.0,3020.0,3164.0,3320.0,3479.0,3673.0,3845.0,4071.0,4311.0,4529.0,4812.0,5087.0,5426.0,5762.0,6082.0,6413.0,6804.0,7218.0,7672.0,8113.0,8681.0,9350.0,10075.0,10762.0,11633.0,12693.0,14051.0,15902.0,17825.0,19348.0,21995.0,25091.0,28109.0,34699.0,54054.0
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+c4_diff_str_one_24h	100	0.014925,0.021739,0.027778,0.033333,0.038462,0.043478,0.048387,0.052632,0.058824,0.0625,0.066667,0.071429,0.076923,0.081081,0.083333,0.090909,0.093023,0.1,0.107143,0.111111,0.115385,0.121212,0.125,0.126437,0.133333,0.140845,0.142857,0.152174,0.157895,0.166667,0.173913,0.181818,0.1875,0.195122,0.2,0.206897,0.214286,0.222222,0.229167,0.237154,0.25,0.253521,0.266667,0.275449,0.285714,0.288889,0.3,0.3125,0.333333,0.35,0.363636,0.375,0.4,0.416667,0.428571,0.454545,0.5,0.533333,0.576923,0.618557,0.666667,0.75,1.0
+c4_diff_str_one_72h	100	0.015873,0.024194,0.03125,0.038033,0.04375,0.05,0.055556,0.061224,0.066667,0.071429,0.076923,0.083333,0.086817,0.090909,0.096154,0.1,0.105263,0.111111,0.114286,0.12,0.125,0.127273,0.133333,0.14025900000000002,0.142857,0.145161,0.152866,0.157895,0.166667,0.176471,0.181818,0.1875,0.194444,0.2,0.206897,0.214286,0.222222,0.227273,0.235294,0.245902,0.25,0.261905,0.272727,0.27907,0.285714,0.292566,0.3,0.3125,0.333333,0.342857,0.359281,0.375,0.384615,0.4,0.421053,0.435484,0.458716,0.5,0.508197,0.560976,0.6,0.666667,0.75,0.864865,1.0
+c5_avgscore_tags_1d	100	0.03166861832141876,0.04442238062620163,0.05267641041427851,0.05908437352627516,0.06436543104549249,0.06913432354728381,0.07310907542705536,0.07692068283046995,0.08028674125671387,0.08367274329066277,0.08657052421144076,0.08939835708588362,0.09216866223141551,0.09491415554657578,0.09729258219401042,0.0997298963367939,0.10209109843708575,0.1043817475438118,0.10655902822812398,0.108510946854949,0.1105482280254364,0.11259869486093521,0.11465967943271001,0.11651106178760529,0.11844523530453444,0.12019131084283192,0.12196189761161805,0.12363968789577484,0.1253617536276579,0.12706407345831394,0.12881109863519669,0.1306203305721283,0.13238438508576816,0.13410353660583496,0.1357722170650959,0.1374020352959633,0.13904350250959396,0.1405945618947347,0.14228683710098267,0.14385630935430527,0.14553958674271902,0.14717445682202066,0.1487780064344406,0.1504090204834938,0.15208027015129724,0.15367679297924042,0.1553071987416063,0.15688131749629974,0.1584680676460266,0.16006159888846533,0.16168131725862622,0.16323432326316833,0.16491448394954206,0.1665178226927916,0.16828294098377228,0.17005162686109543,0.17179228290915488,0.1735435649752617,0.17526564498742422,0.17686201445758343,0.178694819410642,0.18045038357377052,0.18233683705329895,0.18427880853414536,0.18615597238143286,0.1880049705505371,0.19005012903362511,0.19198092818260193,0.19402511417865753,0.19606145098805428,0.19826827719807624,0.20055142492055894,0.20282168127596378,0.20524847507476807,0.20745308548212052,0.21012186507383981,0.21282938619454703,0.21553431451320648,0.21842452138662338,0.22126619517803192,0.22438930409650007,0.22784831654280424,0.2313306748867035,0.23482324928045273,0.23897818475961685,0.2431017905473709,0.2474581003189087,0.25257213165362674,0.2580455541610718,0.263830553740263,0.27058590203523636,0.27766602486371994,0.28653305768966675,0.297121811658144,0.30973951518535614,0.32587194442749023,0.34989258646965027,0.38552066683769226,0.8086040616035461
+c2_click_12h	100	2.0,3.0,4.0,5.0,7.0,51.0
+c2_click_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,10.0,11.0,15.0,22.0,642.0
+c2_click_24h	100	2.0,3.0,4.0,5.0,6.0,7.0,9.0,56.0
+c2_click_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,10.0,14.0,227.0
+c2_is_return_1_12h	100	2.0,3.0,4.0,20.0
+c2_is_return_1_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,11.0,15.0,100.0
+c2_is_return_1_24h	100	2.0,3.0,4.0,5.0,28.0
+c3_return_n_uv_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,14.0,15.0,18.0,22.0,31.0,282.0
+c3_share_cnt_12h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,14.0,16.0,20.0,29.0,900.0
+c3_share_cnt_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,17.0,19.0,21.0,24.0,27.0,32.0,39.0,52.0,81.0,3453.0
+c3_share_cnt_24h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,14.0,16.0,19.0,24.0,36.0,1163.0
+c3_share_cnt_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,17.0,19.0,22.0,27.0,35.0,52.0,1571.0
+c4_avg_ros_168h	100	0.015972,0.025641,0.035,0.04386,0.052632,0.062222,0.070526,0.079462,0.087227,0.097011,0.105263,0.113863,0.124934,0.131579,0.141176,0.15,0.16,0.166667,0.175661,0.186111,0.196078,0.203704,0.214286,0.223113,0.234034,0.24538,0.25,0.259943,0.270833,0.28125,0.291667,0.302103,0.313333,0.325239,0.333333,0.342262,0.354031,0.36598,0.376096,0.388889,0.4,0.412688,0.424731,0.4375,0.449743,0.462963,0.476587,0.491627,0.5,0.509231,0.52466,0.53961,0.555423,0.570622,0.585664,0.601235,0.619048,0.636335,0.654321,0.667153,0.688312,0.708334,0.729576,0.75,0.770955,0.794152,0.818065,0.841667,0.869048,0.896381,0.925121,0.95654,0.993088,1.006848,1.045238,1.083333,1.124638,1.166667,1.21147,1.259354,1.316667,1.373077,1.4375,1.5,1.583333,1.666667,1.766667,1.880303,2.0,2.148611,2.329236,2.52381,2.795455,3.115984,3.555556,4.19375,5.25,7.455556,385.0
+c4_avg_ros_24h	100	0.003175,0.005135,0.006993,0.008798,0.010526,0.012346,0.014141,0.015985,0.017857,0.019786,0.021739,0.02381,0.025604,0.027778,0.02963,0.031746,0.033613,0.035885,0.038462,0.041005,0.042857,0.045455,0.047698,0.05,0.053333,0.055556,0.058351,0.061724,0.06401,0.066667,0.070408,0.072917,0.076923,0.080144,0.083333,0.085714,0.090278,0.09375,0.098485,0.1,0.105556,0.111111,0.113333,0.118872,0.125,0.125262,0.132386,0.137255,0.142857,0.148148,0.153846,0.160985,0.166667,0.176087,0.183333,0.191113,0.2,0.204424,0.214286,0.222222,0.231482,0.242857,0.25,0.253846,0.266667,0.278912,0.291667,0.304167,0.319531,0.333333,0.337454,0.357143,0.375,0.395833,0.414863,0.435897,0.459091,0.492647,0.5,0.526316,0.561688,0.6,0.638695,0.669231,0.729167,0.780952,0.846154,0.928571,1.0,1.093518,1.228365,1.383333,1.6,1.9,2.333333,3.0,4.666667,388.0
+d2_rank	100	0.01,0.01020408163265306,0.010309278350515464,0.010526315789473684,0.010638297872340425,0.010869565217391304,0.011111111111111112,0.011235955056179775,0.011494252873563218,0.011764705882352941,0.011904761904761904,0.012195121951219513,0.0125,0.012658227848101266,0.012987012987012988,0.013157894736842105,0.013513513513513514,0.0136986301369863,0.014084507042253521,0.014285714285714285,0.014705882352941176,0.014925373134328358,0.015151515151515152,0.015625,0.015873015873015872,0.016129032258064516,0.01639344262295082,0.01694915254237288,0.017241379310344827,0.017543859649122806,0.017857142857142856,0.018518518518518517,0.018867924528301886,0.019230769230769232,0.0196078431372549,0.02,0.02040816326530612,0.020833333333333332,0.02127659574468085,0.021739130434782608,0.022222222222222223,0.022727272727272728,0.023255813953488372,0.023809523809523808,0.024390243902439025,0.025,0.02564102564102564,0.02631578947368421,0.02702702702702703,0.027777777777777776,0.02857142857142857,0.029411764705882353,0.030303030303030304,0.03125,0.03225806451612903,0.03333333333333333,0.034482758620689655,0.03571428571428571,0.037037037037037035,0.038461538461538464,0.04,0.041666666666666664,0.043478260869565216,0.045454545454545456,0.047619047619047616,0.05,0.05263157894736842,0.05555555555555555,0.058823529411764705,0.0625,0.06666666666666667,0.07142857142857142,0.07692307692307693,0.08333333333333333,0.09090909090909091,0.1,0.1111111111111111,0.125,0.14285714285714285,0.16666666666666666,0.2,0.25,0.3333333333333333,0.5
+d2_score	100	2.27E-6,4.73E-6,7.92E-6,1.192E-5,1.694E-5,2.3E-5,3.043E-5,3.963E-5,5.062E-5,6.421E-5,7.99E-5,9.857E-5,1.2107E-4,1.4767E-4,1.7919E-4,2.1561E-4,2.5696E-4,3.0308E-4,3.5522E-4,4.1377E-4,4.7988E-4,5.5169E-4,6.3416E-4,7.2769E-4,8.3897E-4,9.6446E-4,0.00110666,0.00124959,0.00140199,0.00156501,0.00174443,0.00192321,0.00210549,0.0022884,0.00247496,0.00267515,0.00286297,0.00305449,0.00322583,0.0034005,0.00357941,0.00374768,0.00390741,0.00406924,0.00421703,0.00436345,0.00450276,0.00464039,0.00477588,0.00491608,0.00506387,0.00519504,0.00533453,0.00548152,0.00561562,0.00575151,0.00588963,0.00602289,0.00616505,0.00630663,0.00643669,0.00659671,0.00675875,0.00691453,0.00706347,0.00721575,0.00738213,0.00754397,0.00770637,0.00786466,0.00804197,0.0082273,0.00841295,0.00861063,0.00881159,0.0090196,0.00923196,0.00943319,0.00967307,0.00995246,0.01022836,0.01054331,0.010866,0.01119118,0.01155051,0.0120274,0.01256403,0.01306405,0.01378613,0.01446738,0.01510364,0.01603161,0.01719,0.0182662,0.01987643,0.02172531,0.02367881,0.0267919,0.03968146
+d3_exp	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,17.0,18.0,20.0,21.0,22.0,24.0,26.0,27.0,29.0,31.0,33.0,36.0,38.0,40.0,43.0,46.0,49.0,53.0,56.0,60.0,64.0,68.0,73.0,78.0,83.0,89.0,94.0,101.0,108.0,116.0,125.0,134.0,145.0,156.0,168.0,182.0,197.0,216.0,237.0,261.0,287.0,319.0,353.0,395.0,439.0,491.0,560.0,649.0,780.0,964.0,1267.0,1774.0,5169.0
+d3_return_n	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,16.0,17.0,19.0,20.0,22.0,24.0,25.0,28.0,30.0,32.0,35.0,37.0,40.0,43.0,46.0,50.0,54.0,58.0,62.0,66.0,71.0,76.0,81.0,87.0,93.0,100.0,108.0,116.0,124.0,133.0,142.0,153.0,164.0,176.0,189.0,203.0,217.0,234.0,251.0,271.0,290.0,312.0,337.0,363.0,394.0,429.0,464.0,503.0,546.0,593.0,645.0,704.0,773.0,849.0,933.0,1030.0,1146.0,1277.0,1442.0,1642.0,1899.0,2191.0,2543.0,2996.0,3702.0,4790.0,6999.0,27700.0
+d3_rovn	100	0.333333,0.428571,0.5,0.571429,0.666667,0.75,0.818182,0.882353,0.981481,1.0,1.066667,1.133333,1.1875,1.23913,1.285714,1.333333,1.367347,1.415094,1.468085,1.5,1.52,1.575758,1.625,1.666667,1.714286,1.76087,1.809524,1.857143,1.911765,1.968858,2.0,2.035088,2.083333,2.137931,2.184932,2.230769,2.275862,2.330379,2.367188,2.415094,2.461538,2.5,2.542857,2.589041,2.636364,2.67382,2.722222,2.769231,2.817121,2.87234,2.932203,3.0,3.051724,3.121951,3.179487,3.24424,3.307506,3.371002,3.433333,3.5,3.545455,3.607595,3.676923,3.75,3.836364,3.923077,4.0,4.040816,4.128726,4.229167,4.327475,4.428571,4.531722,4.66,4.796078,4.968564,5.071429,5.272727,5.5,5.75,6.0,6.4,6.906667,7.48961,8.5,11.0,402.0
+festive_sim	100	0.0030630577821284533,0.0035540733952075243,0.00555680925026536,0.18489797413349152,1.0
+head_title_festive_sim	100	0.0030630577821284533,0.0035123778507113457,0.006133459974080324,0.007048415951430798,0.0076309144496917725,0.008038374595344067,0.008457642048597336,0.009201481938362122,0.010193903930485249,0.011185993440449238,0.012129487469792366,0.013617589138448238,0.014207850210368633,0.015897665172815323,0.017056113108992577,0.01761591248214245,0.01907321810722351,0.021004220470786095,0.02197698876261711,0.022697150707244873,0.0237951148301363,0.024249766021966934,0.024428721517324448,0.024863654747605324,0.025782965123653412,0.02621591091156006,0.02717563509941101,0.028099283576011658,0.029513906687498093,0.030223147943615913,0.030639266595244408,0.03134986013174057,0.03195899352431297,0.032220177352428436,0.03289855644106865,0.03398923948407173,0.03418528661131859,0.034584756940603256,0.03487491235136986,0.035385020077228546,0.03620100021362305,0.0366453155875206,0.0371711403131485,0.03846694156527519,0.03897193819284439,0.039175838232040405,0.03962727636098862,0.04011528193950653,0.041156720370054245,0.041230008006095886,0.04124508798122406,0.04131173714995384,0.04208800569176674,0.04225118085741997,0.04325796663761139,0.04454924538731575,0.04481572285294533,0.046278394758701324,0.04684796929359436,0.047517213970422745,0.04772690311074257,0.049357976764440536,0.05111279338598251,0.051822829991579056,0.05310798063874245,0.05362759158015251,0.054962415248155594,0.055838823318481445,0.056457921862602234,0.05823095515370369,0.058821551501750946,0.060918062925338745,0.06305540353059769,0.06318185478448868,0.06375127285718918,0.06433158367872238,0.07047764956951141,0.07636939734220505,0.0884137824177742,0.1434166431427002,0.18620875477790833,0.22222356498241425,0.25219181180000305,0.2741960883140564,0.2973565459251404,0.3256895840167999,0.3432237207889557,0.3700478971004486,0.4301186501979828,0.5677085518836975,0.6825311183929443,1.0
+c6_maxscore_tags_1d	100	0.06722451746463776,0.08850370347499847,0.10255377739667892,0.11274657398462296,0.1209806427359581,0.12830445170402527,0.13521794974803925,0.14098259806632996,0.14716604351997375,0.15207520127296448,0.15702053904533386,0.16177037358283997,0.1659425050020218,0.17001751065254211,0.17363399267196655,0.1775301992893219,0.18137599527835846,0.1850418746471405,0.18821701407432556,0.19124510884284973,0.19410763680934906,0.19697897136211395,0.19996096193790436,0.20318828523159027,0.2059849500656128,0.20880381762981415,0.211806058883667,0.21410106122493744,0.21686828136444092,0.21955765783786774,0.22232452034950256,0.22527627646923065,0.2278371900320053,0.23031283915042877,0.2326940894126892,0.235163614153862,0.23775330185890198,0.24020199477672577,0.2424185574054718,0.2446393072605133,0.24707549810409546,0.24940700829029083,0.25193360447883606,0.2543070614337921,0.2568708658218384,0.2589757740497589,0.26128795742988586,0.26379671692848206,0.26616963744163513,0.2688409686088562,0.27148738503456116,0.2739500105381012,0.2765330672264099,0.2786896526813507,0.2811903953552246,0.28363510966300964,0.28571617603302,0.2880561351776123,0.2899831235408783,0.2925965189933777,0.2950685918331146,0.2977921962738037,0.3006412982940674,0.30353617668151855,0.3064352571964264,0.3096301555633545,0.31207984685897827,0.3150341808795929,0.3181406259536743,0.3210535943508148,0.32387837767601013,0.32731834053993225,0.33089643716812134,0.33452633023262024,0.3380133807659149,0.34196969866752625,0.34534940123558044,0.35012486577033997,0.35483500361442566,0.3588079810142517,0.36393675208091736,0.3677401542663574,0.37201207876205444,0.3761191666126251,0.38038820028305054,0.38378456234931946,0.388224720954895,0.3949444890022278,0.4022100567817688,0.4098392724990845,0.4172777533531189,0.4225960373878479,0.4305613040924072,0.4410489797592163,0.4505588114261627,0.4635603725910187,0.4905341565608978,0.5224316716194153,1.0
+c6_maxscore_tags_3d	100	0.07421381771564484,0.0976853147149086,0.11208288371562958,0.12249279022216797,0.13156765699386597,0.13934648036956787,0.14710961282253265,0.1531779170036316,0.15897460281848907,0.164018914103508,0.16911007463932037,0.17260923981666565,0.17663198709487915,0.1812770962715149,0.18545007705688477,0.18922318518161774,0.19250011444091797,0.1955648958683014,0.19926495850086212,0.20258279144763947,0.20576398074626923,0.2086508721113205,0.21182920038700104,0.2144102305173874,0.2172827273607254,0.21995897591114044,0.22303719818592072,0.22629372775554657,0.22885683178901672,0.2316170632839203,0.23405031859874725,0.23692747950553894,0.2393880933523178,0.24201282858848572,0.24405509233474731,0.2465137094259262,0.24899299442768097,0.25157642364501953,0.25420647859573364,0.2569318115711212,0.25897669792175293,0.26149123907089233,0.2639191448688507,0.26639553904533386,0.26932141184806824,0.27184784412384033,0.27445340156555176,0.2768486440181732,0.279176265001297,0.2816116213798523,0.28376755118370056,0.28602135181427,0.2883046567440033,0.28973278403282166,0.29242056608200073,0.2947736084461212,0.2974272072315216,0.3003244698047638,0.3029453158378601,0.30587244033813477,0.30899375677108765,0.3111720383167267,0.3141562342643738,0.3168967664241791,0.3197108805179596,0.3228721618652344,0.3259747326374054,0.32894498109817505,0.33184364438056946,0.3355300724506378,0.33903446793556213,0.342983216047287,0.34642425179481506,0.3510262370109558,0.3550094664096832,0.35855594277381897,0.3631574511528015,0.3665675222873688,0.3699837327003479,0.37376078963279724,0.3775022327899933,0.38121700286865234,0.38461247086524963,0.38796544075012207,0.39296552538871765,0.39947509765625,0.40558922290802,0.41285088658332825,0.4177585542201996,0.4228205680847168,0.42804065346717834,0.4374833106994629,0.44599512219429016,0.45517727732658386,0.46053165197372437,0.48102235794067383,0.49865424633026123,0.5305708646774292,1.0
+c6_maxscore_tags_7d	100	0.07927391678094864,0.10378656536340714,0.11819342523813248,0.12909410893917084,0.13849344849586487,0.1471855193376541,0.15412220358848572,0.16060000658035278,0.165984645485878,0.17066657543182373,0.17447100579738617,0.17905613780021667,0.18385739624500275,0.18825799226760864,0.19194373488426208,0.19547267258167267,0.19943368434906006,0.2033773958683014,0.20634493231773376,0.20984293520450592,0.21263788640499115,0.21609601378440857,0.21886491775512695,0.22232452034950256,0.2255125790834427,0.22828368842601776,0.23126064240932465,0.23376013338565826,0.2367946058511734,0.23957781493663788,0.2423209249973297,0.24452994763851166,0.24704352021217346,0.24933867156505585,0.25204792618751526,0.2547602355480194,0.2574600577354431,0.26005008816719055,0.2624001204967499,0.2652254104614258,0.267976850271225,0.27103474736213684,0.27366846799850464,0.2761995196342468,0.2784210443496704,0.2806650698184967,0.28329384326934814,0.28555649518966675,0.2878844439983368,0.2893024682998657,0.2916928231716156,0.293986052274704,0.2961118817329407,0.2990790903568268,0.3016083836555481,0.3047706186771393,0.30776166915893555,0.3102581799030304,0.3126644790172577,0.3157437741756439,0.3183548152446747,0.32146474719047546,0.3242975175380707,0.32728806138038635,0.33020174503326416,0.3332134485244751,0.3367636799812317,0.3405209183692932,0.3436211943626404,0.34692326188087463,0.35147595405578613,0.3550281822681427,0.3587270677089691,0.36291199922561646,0.3665675222873688,0.3699377775192261,0.37257036566734314,0.3757639527320862,0.38020509481430054,0.38297802209854126,0.38644006848335266,0.38966646790504456,0.3954313397407532,0.4006398022174835,0.4066237509250641,0.4130007028579712,0.41758522391319275,0.4225960373878479,0.42741134762763977,0.43130406737327576,0.4410489797592163,0.44826334714889526,0.45517727732658386,0.4596838057041168,0.47142457962036133,0.4911222755908966,0.5138023495674133,0.5370981097221375,1.0
+d1_ros_cf_rank	100	0.047619047619047616,0.05555555555555555,0.0625,0.06896551724137931,0.07142857142857142,0.07692307692307693,0.08,0.08333333333333333,0.08695652173913043,0.09090909090909091,0.09523809523809523,0.1,0.10526315789473684,0.1111111111111111,0.11764705882352941,0.125,0.13333333333333333,0.14285714285714285,0.15384615384615385,0.16666666666666666,0.18181818181818182,0.2,0.2222222222222222,0.25,0.2857142857142857,0.3333333333333333,0.4,0.5,0.6666666666666666
+d1_ros_cf_score	100	0.0231,0.02665,0.0315,0.03465,0.0385,0.0433,0.04395,0.0495,0.05775,0.06105,0.0693,0.077,0.0845,0.08665,0.099,0.1073,0.10985,0.1155,0.1192,0.12205,0.1341,0.13735,0.14855,0.15695,0.1694,0.1733,0.18245,0.1831,0.1883,0.1967,0.2085,0.2197,0.2278,0.23105,0.2476,0.25995,0.26825,0.27465,0.29035,0.29705,0.314,0.333,0.34655,0.3466,0.3662,0.3733,0.40235,0.41595,0.4713,0.51985,0.5493,0.6278,0.6931,1.0986
+d1_rov_cf_rank	100	0.023255813953488372,0.02631578947368421,0.029411764705882353,0.03125,0.03333333333333333,0.03571428571428571,0.037037037037037035,0.038461538461538464,0.04081632653061224,0.0425531914893617,0.044444444444444446,0.045454545454545456,0.047619047619047616,0.05,0.05128205128205128,0.05263157894736842,0.05555555555555555,0.058823529411764705,0.0625,0.06451612903225806,0.06666666666666667,0.06896551724137931,0.07142857142857142,0.07407407407407407,0.07692307692307693,0.08,0.08333333333333333,0.08695652173913043,0.09090909090909091,0.09523809523809523,0.1,0.10526315789473684,0.1111111111111111,0.11764705882352941,0.125,0.13333333333333333,0.14285714285714285,0.15384615384615385,0.16666666666666666,0.18181818181818182,0.2,0.2222222222222222,0.25,0.2857142857142857,0.3333333333333333,0.4,0.5,0.6666666666666666
+d1_rov_cf_score	100	0.00135,0.00175,0.0021,0.0024,0.00265,0.0029,0.0031,0.00335,0.00355,0.0038,0.004,0.00425,0.00445,0.00465,0.0049,0.0051,0.0053,0.0055,0.0057,0.00595,0.00615,0.00635,0.0066,0.0068,0.007,0.0072,0.0075,0.0077,0.00795,0.0082,0.00845,0.0087,0.0089,0.0091,0.0094,0.00965,0.0099,0.0102,0.0105,0.0107,0.011,0.0113,0.0116,0.01195,0.0122,0.0125,0.0128,0.0131,0.0134,0.0138,0.0141,0.01445,0.0148,0.0151,0.0155,0.0159,0.0163,0.01665,0.01715,0.0175,0.01805,0.0186,0.01915,0.0196,0.0201,0.0207,0.0213,0.0219,0.02265,0.0233,0.024,0.0248,0.0257,0.02665,0.0277,0.0287,0.02935,0.0306,0.03155,0.033,0.03465,0.03645,0.0383,0.03995,0.0421,0.0439,0.04665,0.0495,0.0533,0.0578,0.0628,0.0673,0.0726,0.08225,0.09155,0.1083,0.13475,0.1733,1.0986
+c3_is_share_12h	100	2.0,3.0,4.0,5.0,6.0,8.0,11.0,66.0
+c3_is_share_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,14.0,16.0,21.0,32.0,349.0
+c3_is_share_24h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,13.0,98.0
+c3_is_share_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,11.0,14.0,21.0,158.0
+c3_return_n_uv_12h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,12.0,17.0,100.0
+c3_return_n_uv_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,15.0,16.0,18.0,21.0,24.0,30.0,41.0,316.0
+c3_return_n_uv_24h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,13.0,16.0,23.0,153.0
+c3_click_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,9.0,11.0,17.0,338.0
+c3_click_24h	100	2.0,3.0,4.0,5.0,6.0,8.0,53.0
+c3_click_72h	100	2.0,3.0,4.0,5.0,6.0,8.0,11.0,174.0
+c3_is_return_1_12h	100	2.0,3.0,4.0,13.0
+c3_is_return_1_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,9.0,12.0,99.0
+c3_is_return_1_24h	100	2.0,3.0,4.0,5.0,28.0
+c3_is_return_1_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,41.0
+c4_diff_ros_72h	100	0.052632,0.083333,0.111111,0.142857,0.166667,0.196429,0.216667,0.25,0.266667,0.3,0.333333,0.37931,0.411765,0.45614,0.5,0.545455,0.6,0.647059,0.666667,0.714286,0.75,0.823529,0.9,1.0,1.071429,1.166667,1.25,1.333333,1.4,1.5,1.6,1.666667,1.8,2.0,2.166667,2.3,2.4,2.5,2.578947,2.705882,2.875,3.0,3.230769,3.375,3.5,3.666667,3.866667,4.0,4.166667,4.4,4.5,4.8,5.0,5.333333,5.5,6.0,6.333333,6.6,7.0,7.25,7.6,8.0,8.5,9.0,9.5,11.0,13.0,16.0,22.0,32.0,463.0
+c4_diff_ros_minus_168h	100	1.0,1.142857,1.25,1.333333,1.3870969999999998,1.5,1.65,1.75,2.0,2.25,2.4,2.5,2.636364,2.8,3.0,3.2,3.333333,3.5,3.666667,3.857143,4.0,4.333333,4.5,4.555556,4.8,5.0,5.285714,5.5,5.571429,5.8,6.0,6.333333,6.5,6.666667,7.0,7.333333,7.5,7.666667,8.0,8.1875,8.444444,8.5,8.8,9.0,9.25,9.5,9.571429,9.9,11.0,13.0,16.0,20.0,24.0,30.0,39.0,55.0,527.666667
+c4_diff_ros_minus_24h	100	1.0,1.2,1.25,1.333333,1.4,1.5,1.666667,1.72,2.0,2.2,2.333333,2.5,2.666667,3.0,3.333333,3.5,3.666667,4.0,4.333333,4.5,5.0,5.25,5.5,6.0,6.2,6.5,7.0,7.090909,7.666667,8.0,8.5,9.0,9.2,10.0,11.0,12.0,14.0,16.0,19.0,22.5,28.5,39.0,451.0
+c4_diff_ros_minus_72h	100	1.0,1.166667,1.25,1.333333,1.363636,1.5,1.666667,1.75,2.0,2.1,2.3,2.428571,2.5,2.636364,2.8,3.0,3.2,3.4,3.5,3.666667,4.0,4.25,4.5,4.571429,4.857143,5.0,5.333333,5.5,5.8,6.0,6.142857,6.5,6.666667,7.0,7.5,7.666667,8.0,8.333333,8.555556,9.0,9.333333,9.666667,10.25,12.0,13.6,16.0,19.0,22.0,27.0,35.0,48.0,463.0
+c4_diff_ros_one_168h	100	0.125,0.2,0.263158,0.333333,0.4,0.48,0.5,0.555556,0.653333,0.707317,0.8,0.909091,1.0,1.083333,1.214286,1.333333,1.4375,1.5,1.6,1.75,1.928571,2.0,2.222222,2.333333,2.5,2.571429,2.727273,3.0,3.2,3.333333,3.5,3.666667,3.8,4.0,4.166667,4.333333,4.5,4.666667,4.961538,5.0,5.333333,5.5,5.666667,6.0,6.333333,6.5,6.7,7.0,7.25,7.5,7.666667,8.0,8.166667,8.5,8.625,9.0,9.222222,9.5,9.666667,10.5,12.0,14.333333,17.5,21.0,26.5,35.0,50.0,541.0
+c4_diff_ros_one_24h	100	0.083333,0.125,0.166667,0.2,0.222222,0.25,0.28,0.333333,0.352941,0.4,0.454545,0.5,0.571429,0.625,0.666667,0.7,0.75,0.833333,1.0,1.142857,1.25,1.333333,1.428571,1.5,1.666667,1.75,2.0,2.222222,2.333333,2.5,2.571429,2.75,3.0,3.333333,3.5,3.666667,4.0,4.142857,4.5,4.666667,5.0,5.5,6.0,6.5,7.0,7.666667,8.0,8.5,9.0,10.0,11.0,12.0,14.0,17.0,20.0,25.75,36.0,451.0
+c4_diff_ros_one_72h	100	0.1,0.157895,0.2,0.25,0.3,0.333333,0.375,0.428571,0.5,0.6,0.666667,0.7,0.7628459999999999,0.857143,1.0,1.111111,1.225806,1.333333,1.4,1.5,1.666667,1.76,2.0,2.25,2.4,2.5,2.6,2.75,3.0,3.166667,3.333333,3.5,3.666667,3.857143,4.0,4.2,4.454545,4.5,4.8,5.0,5.333333,5.5,5.8,6.0,6.2,6.5,6.714286,7.0,7.25,7.5,8.0,8.5,9.0,9.333333,9.75,11.0,12.0,14.0,17.0,20.0,24.666667,31.5,44.0,463.0
+c2_is_return_1_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,9.0,41.0
+c2_is_share_12h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,10.0,14.0,100.0
+c2_is_share_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,16.0,19.0,23.0,29.0,44.0,346.0
+c2_is_share_24h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,12.0,17.0,122.0
+c2_is_share_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,15.0,18.0,28.0,208.0
+c2_return_n_uv_12h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,14.0,20.0,127.0
+c2_return_n_uv_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,17.0,19.0,21.0,23.0,26.0,30.0,38.0,51.0,333.0
+c2_return_n_uv_24h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,13.0,15.0,19.0,26.0,333.0
+c2_return_n_uv_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,15.0,16.0,19.0,22.0,27.0,37.0,333.0
+c2_share_cnt_12h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,13.0,14.0,16.0,19.0,24.0,35.0,900.0
+c2_share_cnt_168h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,18.0,19.0,21.0,23.0,25.0,28.0,32.0,36.0,43.0,53.0,70.0,111.0,7585.0
+c2_share_cnt_24h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,14.0,15.0,17.0,19.0,23.0,29.0,43.0,1337.0
+c2_share_cnt_72h	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,18.0,19.0,22.0,25.0,29.0,35.0,46.0,70.0,2010.0
+c3_click_12h	100	2.0,3.0,4.0,5.0,6.0,35.0
+c4_avg_ros_72h	100	0.007414,0.012066,0.016461,0.020609,0.024691,0.028571,0.033333,0.037037,0.041667,0.045749,0.05,0.055336,0.058906,0.063333,0.067852,0.072622,0.077778,0.083333,0.08658,0.092105,0.097826,0.101587,0.107937,0.112069,0.118645,0.125,0.128205,0.134199,0.141026,0.146199,0.152778,0.159763,0.166667,0.167988,0.17619,0.183478,0.190476,0.198864,0.2031,0.211184,0.219188,0.22619,0.234892,0.244318,0.25,0.254605,0.264881,0.274074,0.283859,0.292744,0.302145,0.3125,0.324388,0.333333,0.338889,0.351293,0.363636,0.375,0.388889,0.4,0.415152,0.428571,0.444345,0.458333,0.476157,0.495804,0.5,0.516026,0.536339,0.556198,0.578182,0.6,0.625,0.650794,0.670389,0.701429,0.734086,0.763818,0.8,0.834426,0.878698,0.927276,0.984568,1.00641,1.074203,1.142857,1.22089,1.309252,1.405051,1.512821,1.666667,1.833333,2.018519,2.321429,2.692308,3.25,4.147436,6.076923,388.0
+c4_avg_ros_minus_168h	100	0.136364,0.166667,0.2,0.222222,0.25,0.254902,0.285369,0.306122,0.333333,0.346154,0.371844,0.392857,0.410364,0.431579,0.454545,0.480324,0.5,0.517582,0.542208,0.564103,0.584559,0.604167,0.625,0.65,0.666667,0.679012,0.70202,0.72619,0.75,0.763021,0.787356,0.808333,0.833333,0.854167,0.875,0.9,0.926065,0.952381,0.983333,1.0,1.030197,1.058532,1.0858,1.115385,1.142857,1.166667,1.2,1.229885,1.252778,1.288105,1.324074,1.347363,1.382472,1.416667,1.454545,1.5,1.516667,1.561905,1.602814,1.65,1.6875,1.738095,1.783178,1.833333,1.890625,1.954545,2.0,2.048485,2.121212,2.192982,2.262821,2.336539,2.429984,2.5,2.611111,2.716967,2.833333,2.96875,3.067725,3.222222,3.3875,3.5625,3.770833,4.0,4.272728,4.595867,5.0,5.435673,6.0,6.75,7.8,9.5,12.833334,492.75
+c4_avg_ros_minus_24h	100	0.027027,0.036232,0.043478,0.050633,0.057471,0.0625,0.070588,0.076923,0.083333,0.088235,0.092784,0.1,0.105263,0.111111,0.117647,0.125,0.127451,0.136364,0.142857,0.153846,0.161765,0.166667,0.177083,0.185185,0.194444,0.2,0.208333,0.217391,0.225,0.236111,0.25,0.254255,0.266667,0.278761,0.285714,0.3,0.31229,0.326087,0.333333,0.34,0.357143,0.372807,0.382353,0.4,0.405914,0.421875,0.4375,0.454545,0.473684,0.5,0.515625,0.541667,0.564103,0.58642,0.607143,0.632353,0.666667,0.7,0.730769,0.75,0.785714,0.822857,0.857143,0.9,0.952381,1.0,1.083333,1.142857,1.208333,1.28,1.342105,1.444444,1.5,1.653846,1.75,1.933333,2.01579,2.271315,2.5,2.833333,3.184615,3.711111,4.5,5.75,8.5,388.0
+c4_avg_ros_minus_72h	100	0.058824,0.080247,0.097222,0.111111,0.125,0.139286,0.147774,0.166667,0.183333,0.2,0.21393,0.225,0.24,0.25,0.261905,0.277778,0.286275,0.3,0.314815,0.333333,0.342336,0.357143,0.375,0.3867,0.4,0.411483,0.427273,0.441667,0.455556,0.472973,0.497778,0.5,0.51241,0.533333,0.551282,0.569444,0.584239,0.6,0.622549,0.64,0.666667,0.686667,0.708333,0.731481,0.75,0.768586,0.793982,0.816667,0.833732,0.865385,0.890244,0.916667,0.952381,0.997222,1.0,1.015385,1.056818,1.095238,1.129464,1.166667,1.208333,1.25,1.296296,1.333333,1.385079,1.441176,1.5,1.541667,1.611111,1.666667,1.75,1.833333,1.933333,2.0,2.111111,2.236842,2.354167,2.5,2.666667,2.875,3.04,3.333333,3.653846,4.0,4.5,5.166667,6.02381,7.566667,10.666667,388.0
+c4_avg_ros_one_168h	100	0.030651,0.046512,0.061821,0.075099,0.088889,0.101191,0.115502,0.127451,0.142857,0.158088,0.166667,0.182692,0.2,0.211111,0.225512,0.243056,0.25,0.265451,0.280952,0.296948,0.3125,0.329841,0.333333,0.350372,0.367677,0.382692,0.4,0.416331,0.430556,0.447619,0.466366,0.484472,0.5,0.520833,0.539566,0.556522,0.575,0.593939,0.611111,0.62963,0.65,0.666667,0.683741,0.704185,0.725159,0.75,0.765625,0.787824,0.809524,0.833333,0.854167,0.876916,0.901786,0.927797,0.954546,0.984653,1.0,1.018182,1.048958,1.078947,1.110185,1.141414,1.171717,1.207143,1.245421,1.277778,1.318642,1.355179,1.4,1.444444,1.49881,1.535714,1.590733,1.648148,1.703704,1.766228,1.833333,1.909908,2.0,2.057901,2.154487,2.25,2.360164,2.491582,2.611111,2.759524,2.944281,3.117647,3.34375,3.613445,3.9375,4.321745,4.809524,5.470238,6.354167,7.833333,10.833333,385.0
+c4_avg_ros_one_24h	100	0.006944,0.010638,0.013889,0.017284,0.020455,0.02381,0.026667,0.029851,0.033333,0.035714,0.039216,0.041667,0.045455,0.04955,0.052632,0.055556,0.059804,0.0625,0.066667,0.071429,0.074713,0.079365,0.083333,0.085714,0.090909,0.095654,0.1,0.104545,0.111111,0.113487,0.12,0.125,0.128086,0.133333,0.141652,0.145455,0.152381,0.16,0.166667,0.175,0.18315,0.190848,0.2,0.202749,0.213043,0.222222,0.230108,0.240705,0.25,0.259722,0.272109,0.283784,0.294118,0.305556,0.319805,0.333333,0.347222,0.363636,0.375,0.395833,0.409091,0.428571,0.444444,0.466667,0.494949,0.5,0.534799,0.5625,0.590514,0.619048,0.651235,0.666667,0.710145,0.75,0.785714,0.833333,0.875,0.9375,1.0,1.00641,1.1,1.181818,1.27,1.375,1.5,1.636364,1.8,2.0,2.25,2.6,3.0,3.703704,4.875,7.25,388.0
+c4_avg_ros_one_72h	100	0.014706,0.022727,0.030154,0.037037,0.043478,0.05,0.057143,0.06405,0.071429,0.078431,0.083333,0.091667,0.1,0.107143,0.1125,0.122276,0.126102,0.135472,0.142857,0.151515,0.161905,0.166667,0.173554,0.183333,0.193322,0.2,0.208916,0.220467,0.229167,0.240741,0.25,0.251131,0.264987,0.276316,0.285715,0.3,0.310186,0.323037,0.333333,0.334959,0.35,0.363636,0.375,0.389039,0.4,0.416667,0.428572,0.444444,0.459674,0.476191,0.497403,0.5,0.507863,0.527778,0.546875,0.565432,0.583333,0.601533,0.625,0.645106,0.666667,0.682716,0.708333,0.733333,0.750861,0.781944,0.809524,0.833334,0.869565,0.9,0.9375,0.980695,1.0,1.027778,1.074074,1.121693,1.166667,1.222222,1.275362,1.333333,1.4,1.481481,1.545455,1.635863,1.733333,1.833853,1.9825,2.083333,2.25,2.4375,2.666667,2.925926,3.236111,3.666667,4.222222,5.0,6.349817,9.125,388.0
+create_ts_diff	100	2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,14.0,16.0,20.0,23.0,26.0,36.0,43.0,46.0,47.0,49.0,58.0,67.0,69.0,74.0,75.0,77.0,79.0,86.0,89.0,96.0,99.0,108.0,112.0,117.0,144.0,147.0,153.0,167.0,192.0,195.0,216.0,236.0,253.0,272.0,396.0,470.0,2214.0
+total_time	100	21.0,22.0,26.0,29.0,30.0,32.0,33.0,35.0,41.0,43.0,50.0,54.0,61.0,66.0,70.0,75.0,77.0,78.0,80.0,83.0,85.0,88.0,91.0,93.0,96.0,97.0,98.0,99.0,100.0,101.0,104.0,106.0,107.0,109.0,112.0,113.0,115.0,119.0,124.0,129.0,132.0,133.0,134.0,138.0,142.0,144.0,145.0,148.0,149.0,151.0,154.0,163.0,171.0,172.0,177.0,179.0,180.0,187.0,193.0,199.0,201.0,204.0,209.0,216.0,222.0,233.0,249.0,251.0,259.0,270.0,277.0,289.0,309.0,313.0,328.0,345.0,350.0,388.0,399.0,420.0,456.0,536.0,3240.0
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+c5_matchnum_tags_7d	100	2.0,5.0
+c5_maxscore_tags_1d	100	0.03738151490688324,0.053988512605428696,0.06562528759241104,0.07532573491334915,0.08346825838088989,0.09058142453432083,0.09674336761236191,0.10218236595392227,0.10689113289117813,0.11135280132293701,0.11578155308961868,0.11943250894546509,0.1232512816786766,0.12691368162631989,0.1306820809841156,0.13426996767520905,0.13755656778812408,0.14093714952468872,0.1444501280784607,0.14763690531253815,0.15052896738052368,0.15345902740955353,0.1564253270626068,0.15943603217601776,0.16211959719657898,0.16495084762573242,0.1673939973115921,0.17002250254154205,0.1725205034017563,0.1750812530517578,0.17775337398052216,0.18027395009994507,0.1831023097038269,0.18562203645706177,0.18799754977226257,0.19045445322990417,0.19290216267108917,0.19521041214466095,0.1977420151233673,0.20012447237968445,0.20272627472877502,0.20533041656017303,0.20746132731437683,0.20987121760845184,0.21229557693004608,0.21476005017757416,0.21715092658996582,0.2195974886417389,0.2222013920545578,0.22486534714698792,0.22748996317386627,0.23004184663295746,0.23234589397907257,0.23479944467544556,0.23750567436218262,0.24014465510845184,0.2424185574054718,0.24491579830646515,0.24737200140953064,0.24988201260566711,0.25271862745285034,0.25585758686065674,0.2586236298084259,0.26131001114845276,0.26425424218177795,0.26723381876945496,0.2706652879714966,0.27383652329444885,0.2768486440181732,0.2800212502479553,0.2832569479942322,0.2862897515296936,0.2893024682998657,0.2925247550010681,0.2958730459213257,0.30024978518486023,0.3042699098587036,0.3088725805282593,0.3122987449169159,0.31673797965049744,0.32131141424179077,0.3259637653827667,0.3309915363788605,0.33651620149612427,0.342342346906662,0.34815341234207153,0.35529929399490356,0.3623548150062561,0.3695060908794403,0.3754206895828247,0.3816840946674347,0.3886602222919464,0.3995271325111389,0.41285088658332825,0.423019140958786,0.43993180990219116,0.4579564034938812,0.49683162569999695,1.0
+c5_maxscore_tags_3d	100	0.043600697070360184,0.062159694731235504,0.0755116268992424,0.08621423691511154,0.09517788141965866,0.10254247486591339,0.10852156579494476,0.11452814936637878,0.11932574957609177,0.12409331649541855,0.12893757224082947,0.13346455991268158,0.13777396082878113,0.1419697105884552,0.1463487297296524,0.14974728226661682,0.1532181352376938,0.15665586292743683,0.16027149558067322,0.16323432326316833,0.1660843938589096,0.1694340705871582,0.17173999547958374,0.17471742630004883,0.1776931881904602,0.18063367903232574,0.18362069129943848,0.18655024468898773,0.18935959041118622,0.19190245866775513,0.19454097747802734,0.1971437782049179,0.19971351325511932,0.20253627002239227,0.20524847507476807,0.2074459344148636,0.20995035767555237,0.21243992447853088,0.21502803266048431,0.2175309658050537,0.21990007162094116,0.2227092981338501,0.22544288635253906,0.22790734469890594,0.23042790591716766,0.2327793836593628,0.23531374335289001,0.23785805702209473,0.2405160516500473,0.2425389289855957,0.24501056969165802,0.2473878264427185,0.24988040328025818,0.2526074945926666,0.2556630074977875,0.25843244791030884,0.2609875798225403,0.2635881006717682,0.26646125316619873,0.26961690187454224,0.2725958228111267,0.27542737126350403,0.27816659212112427,0.2811879813671112,0.28390437364578247,0.28671926259994507,0.2893024682998657,0.29206839203834534,0.2949635982513428,0.29817578196525574,0.3017767369747162,0.3057316541671753,0.3096301555633545,0.31283000111579895,0.31673339009284973,0.32042253017425537,0.32453152537345886,0.3286817669868469,0.33309638500213623,0.33776745200157166,0.3429894745349884,0.34782424569129944,0.3538634479045868,0.35911208391189575,0.3650359511375427,0.3699837327003479,0.3749033212661743,0.38093000650405884,0.38552066683769226,0.3915044665336609,0.4006398022174835,0.4106782376766205,0.4189396798610687,0.42804065346717834,0.44168487191200256,0.45517727732658386,0.4752046465873718,0.5149810314178467,1.0
+c4_avg_rovn_168h	100	0.002545,0.004019,0.005359,0.006647,0.007925,0.009197,0.010538,0.011905,0.013274,0.014655,0.016082,0.017544,0.019022,0.020516,0.022013,0.023578,0.025128,0.026797,0.028498,0.030187,0.031903,0.033629,0.035476,0.037223,0.039066,0.040982,0.042811,0.044823,0.046875,0.048871,0.050847,0.052976,0.055218,0.057224,0.059514,0.061727,0.063956,0.066402,0.068667,0.071267,0.073632,0.076253,0.078922,0.08167,0.084112,0.086948,0.089775,0.092632,0.095679,0.098857,0.101852,0.105218,0.108586,0.111949,0.115579,0.119358,0.123342,0.126986,0.131159,0.135368,0.139936,0.144413,0.149344,0.154198,0.159525,0.165156,0.170139,0.176223,0.182374,0.188919,0.196124,0.203308,0.211466,0.21992,0.228655,0.238158,0.248971,0.258892,0.270833,0.283911,0.29815,0.313436,0.330882,0.347686,0.369048,0.392485,0.418284,0.448686,0.483884,0.521325,0.571429,0.631396,0.705434,0.802609,0.938343,1.134524,1.473333,2.25,219.0
+c4_avg_rovn_24h	100	7.35E-4,0.001157,0.001558,0.001949,0.002331,0.002717,0.003106,0.003509,0.003922,0.004329,0.004762,0.005208,0.005655,0.006102,0.006579,0.007092,0.007576,0.008108,0.008627,0.009217,0.009782,0.010381,0.010976,0.011551,0.012195,0.012821,0.013514,0.014228,0.014915,0.015625,0.016429,0.017184,0.017999,0.018841,0.019737,0.02069,0.021561,0.022549,0.023611,0.024615,0.025641,0.026749,0.027778,0.028986,0.030303,0.031505,0.033051,0.03427,0.035714,0.037128,0.038791,0.040496,0.041803,0.043887,0.045581,0.047619,0.049967,0.051724,0.054109,0.056144,0.058824,0.06167,0.064167,0.066667,0.070238,0.073232,0.076923,0.080637,0.083334,0.088095,0.092534,0.097245,0.101852,0.107411,0.112698,0.119318,0.125,0.133333,0.14188,0.15,0.160714,0.169355,0.182292,0.196641,0.210526,0.228009,0.25,0.269753,0.297619,0.333333,0.366667,0.416026,0.479167,0.555556,0.666667,0.843137,1.15,1.888889,194.0
+c4_avg_rovn_72h	100	0.001361,0.002165,0.002919,0.003646,0.004382,0.005113,0.005848,0.006614,0.007407,0.008216,0.009009,0.009804,0.010676,0.011538,0.012426,0.013333,0.014286,0.015209,0.016216,0.017241,0.018291,0.019345,0.020455,0.021561,0.022727,0.023817,0.02509,0.026405,0.027778,0.029029,0.030364,0.031746,0.033333,0.034677,0.036142,0.037688,0.039299,0.041026,0.042553,0.044346,0.046088,0.047826,0.04989,0.051597,0.053621,0.055556,0.05777,0.06,0.062415,0.064541,0.066691,0.069444,0.071948,0.074729,0.077534,0.080513,0.083333,0.086283,0.089631,0.09305,0.096681,0.1,0.104167,0.108333,0.112428,0.117085,0.121878,0.126334,0.131936,0.137382,0.142934,0.149646,0.15625,0.163678,0.170147,0.178674,0.187585,0.197867,0.207785,0.219241,0.231707,0.246591,0.25959,0.276224,0.294872,0.31583,0.337037,0.366145,0.39902,0.43743,0.483173,0.534334,0.60771,0.702381,0.832804,1.013889,1.358699,2.152778,194.0
+c4_avg_str_one_168h	100	0.00548,0.00813,0.010256,0.01216,0.01385,0.015377,0.016785,0.018169,0.019418,0.020632,0.021739,0.022819,0.023854,0.024952,0.025885,0.026874,0.027778,0.028734,0.029661,0.030566,0.031433,0.032336,0.033237,0.034031,0.034893,0.035715,0.036574,0.03739,0.038282,0.039081,0.039913,0.040735,0.041597,0.042308,0.043142,0.043975,0.044805,0.045594,0.046455,0.047308,0.048101,0.048989,0.049903,0.050678,0.051592,0.052552,0.053449,0.054415,0.055442,0.056242,0.057234,0.058234,0.059226,0.060304,0.061404,0.0625,0.063597,0.064815,0.066063,0.067189,0.068497,0.069831,0.071243,0.072504,0.074026,0.075518,0.07702,0.078692,0.080357,0.082184,0.083442,0.085449,0.087459,0.089474,0.09153,0.093797,0.096177,0.098872,0.101221,0.104167,0.107185,0.110703,0.113903,0.117794,0.122216,0.125988,0.131177,0.136752,0.142857,0.150004,0.158665,0.166667,0.178031,0.192652,0.210526,0.238482,0.274055,0.347619,1.0
+c4_avg_str_one_24h	100	0.001405,0.002179,0.002857,0.003497,0.004115,0.004712,0.005279,0.005848,0.00641,0.006944,0.007459,0.007996,0.008537,0.009066,0.009582,0.010101,0.010618,0.011111,0.011696,0.012197,0.012744,0.013268,0.013885,0.014307,0.014924,0.015448,0.015978,0.016667,0.01711,0.017756,0.018277,0.018868,0.019481,0.02007,0.020797,0.021307,0.022021,0.022667,0.023327,0.023871,0.024691,0.025285,0.026047,0.026812,0.027742,0.028279,0.029053,0.029955,0.030769,0.031548,0.032517,0.033333,0.034204,0.035294,0.036111,0.037037,0.038225,0.039286,0.040476,0.041667,0.042532,0.043956,0.045411,0.046667,0.047783,0.049587,0.050629,0.0525,0.054249,0.055556,0.057354,0.059472,0.06165,0.063265,0.065972,0.067766,0.070724,0.072929,0.076086,0.079365,0.083333,0.08486,0.089286,0.093642,0.098742,0.102564,0.109091,0.114286,0.122751,0.128254,0.138562,0.15,0.166667,0.175585,0.2,0.230769,0.267255,0.35,1.0
+c4_avg_str_one_72h	100	0.002747,0.004255,0.005538,0.006667,0.007757,0.008772,0.009737,0.010643,0.01154,0.012422,0.01325,0.014078,0.0149,0.015702,0.016531,0.017273,0.018056,0.018797,0.019587,0.020318,0.020992,0.021787,0.022522,0.023256,0.023918,0.024696,0.025391,0.026116,0.026862,0.027656,0.028274,0.028992,0.029762,0.03049,0.03125,0.032,0.032796,0.033422,0.034274,0.035088,0.035802,0.036678,0.037491,0.038377,0.039216,0.040043,0.041002,0.041667,0.042676,0.043636,0.044611,0.045519,0.046598,0.047619,0.048662,0.04985,0.050734,0.051923,0.05314,0.054414,0.055556,0.056762,0.058138,0.059524,0.060995,0.0625,0.06392,0.065656,0.067046,0.068898,0.070864,0.072553,0.07469,0.076923,0.079167,0.081701,0.083334,0.08603,0.088981,0.091912,0.095238,0.098958,0.101961,0.106197,0.111111,0.115385,0.121117,0.125465,0.133086,0.140651,0.149238,0.160461,0.168792,0.185606,0.204969,0.23596,0.272728,0.351523,1.0
+c4_diff_ros_168h	100	0.070423,0.111111,0.153846,0.2,0.235294,0.268293,0.315789,0.333333,0.387097,0.428571,0.5,0.510638,0.583333,0.642857,0.666667,0.75,0.8,0.875,1.0,1.030864,1.166667,1.25,1.333333,1.416667,1.5,1.538462,1.666667,1.75,1.875,2.0,2.2,2.333333,2.4,2.5,2.6,2.692308,2.846154,3.0,3.181818,3.333333,3.5,3.666667,3.882353,4.0,4.086957,4.333333,4.5,4.6,4.8,5.0,5.138889,5.333333,5.5,5.75,6.0,6.2,6.5,6.666667,7.0,7.25,7.5,7.789474,8.0,8.2,8.5,9.0,9.428571,9.75,11.0,14.0,18.0,24.0,36.0,541.0
+c4_diff_ros_24h	100	0.038462,0.058824,0.076923,0.096774,0.111111,0.12963,0.142857,0.166667,0.181818,0.2,0.214286,0.25,0.266667,0.285714,0.333333,0.363636,0.4,0.421053,0.454545,0.5,0.571429,0.6,0.666667,0.7,0.75,0.8,0.857143,1.0,1.090909,1.2,1.25,1.333333,1.4,1.5,1.6,1.666667,1.8,2.0,2.125,2.285714,2.4,2.5,2.636364,2.777778,3.0,3.222222,3.444444,3.5,3.833333,4.0,4.4,4.666667,5.0,5.142857,5.5,6.0,6.5,7.0,7.8,8.0,9.0,9.333333,11.0,13.0,17.0,25.0,451.0

recommend-server-service/src/main/resources/feeds_score_config_xgb_ros_20250311.conf

@@ -0,0 +1,244 @@
+scorer-config = {
+  rov-score-config = {
+    scorer-name = "com.tzld.piaoquan.recommend.server.service.score.RosXGBRegressionScorer"
+    scorer-priority = 99
+    model-path = "zhangbo/model_xgb_for_ros_reg_v1.tar.gz"
+    param = {
+      localDir = "xgboost/model_xgb_for_ros_reg_v1"
+      features = [
+            "b1_return_1_uv_24h"
+            "b1_return_1_uv_3h"
+            "b1_ros_24h"
+            "b1_ros_3h"
+            "b1_ros_minus_24h"
+            "b1_ros_minus_3h"
+            "b1_ros_one_24h"
+            "b1_ros_one_3h"
+            "b1_rovn_24h"
+            "b1_rovn_3h"
+            "b1_str_one_24h"
+            "b1_str_one_3h"
+            "b2_return_n_uv_24h"
+            "b2_return_n_uv_3h"
+            "b2_ros_24h"
+            "b2_ros_3h"
+            "b2_ros_minus_24h"
+            "b2_ros_minus_3h"
+            "b2_ros_one_24h"
+            "b2_ros_one_3h"
+            "b2_rovn_24h"
+            "b2_rovn_3h"
+            "b2_str_one_24h"
+            "b2_str_one_3h"
+            "b3_return_n_uv_168h"
+            "b3_return_n_uv_24h"
+            "b3_ros_168h"
+            "b3_ros_24h"
+            "b3_ros_minus_168h"
+            "b3_ros_minus_24h"
+            "b3_ros_one_168h"
+            "b3_ros_one_24h"
+            "b3_rovn_168h"
+            "b3_rovn_24h"
+            "b3_str_one_168h"
+            "b3_str_one_24h"
+            "b5_return_n_uv_24h"
+            "b5_ros_24h"
+            "b5_ros_minus_24h"
+            "b5_ros_one_24h"
+            "b5_rovn_24h"
+            "b5_str_one_24h"
+            "b6_return_n_uv_24h"
+            "b6_ros_24h"
+            "b6_ros_minus_24h"
+            "b6_ros_one_24h"
+            "b6_rovn_24h"
+            "b6_str_one_24h"
+            "b7_return_n_uv_24h"
+            "b7_ros_24h"
+            "b7_ros_minus_24h"
+            "b7_ros_one_24h"
+            "b7_rovn_24h"
+            "b7_str_one_24h"
+            "b8_return_n_uv_24h"
+            "b8_ros_24h"
+            "b8_ros_minus_24h"
+            "b8_ros_one_24h"
+            "b8_rovn_24h"
+            "b8_str_one_24h"
+            "b9_return_n_uv_24h"
+            "b9_ros_24h"
+            "b9_ros_minus_24h"
+            "b9_ros_one_24h"
+            "b9_rovn_24h"
+            "b9_str_one_24h"
+            "b11_return_n_uv_24h"
+            "b11_ros_24h"
+            "b11_ros_minus_24h"
+            "b11_ros_one_24h"
+            "b11_rovn_24h"
+            "b11_str_one_24h"
+            "b12_return_n_uv_14d"
+            "b12_ros_14d"
+            "b12_ros_minus_14d"
+            "b12_ros_one_14d"
+            "b12_rovn_14d"
+            "b12_str_one_14d"
+            "b13_return_n_uv_24h"
+            "b13_return_n_uv_3h"
+            "b13_ros_24h"
+            "b13_ros_3h"
+            "b13_ros_minus_24h"
+            "b13_ros_minus_3h"
+            "b13_ros_one_24h"
+            "b13_ros_one_3h"
+            "b13_rovn_24h"
+            "b13_rovn_3h"
+            "b13_str_one_24h"
+            "b13_str_one_3h"
+            "c1_click_12h"
+            "c1_click_168h"
+            "c1_click_24h"
+            "c1_click_72h"
+            "c1_return_1_uv_12h"
+            "c1_return_1_uv_168h"
+            "c1_return_1_uv_24h"
+            "c1_return_1_uv_72h"
+            "c1_ros_12h"
+            "c1_ros_168h"
+            "c1_ros_24h"
+            "c1_ros_72h"
+            "c1_ros_minus_12h"
+            "c1_ros_minus_168h"
+            "c1_ros_minus_24h"
+            "c1_ros_minus_72h"
+            "c1_ros_one_12h"
+            "c1_ros_one_168h"
+            "c1_ros_one_24h"
+            "c1_ros_one_72h"
+            "c1_rovn_12h"
+            "c1_rovn_168h"
+            "c1_rovn_24h"
+            "c1_rovn_72h"
+            "c1_str_one_12h"
+            "c1_str_one_168h"
+            "c1_str_one_24h"
+            "c1_str_one_72h"
+            "c2_click_12h"
+            "c2_click_168h"
+            "c2_click_24h"
+            "c2_click_72h"
+            "c2_is_return_1_12h"
+            "c2_is_return_1_168h"
+            "c2_is_return_1_24h"
+            "c2_is_return_1_72h"
+            "c2_is_share_12h"
+            "c2_is_share_168h"
+            "c2_is_share_24h"
+            "c2_is_share_72h"
+            "c2_return_n_uv_12h"
+            "c2_return_n_uv_168h"
+            "c2_return_n_uv_24h"
+            "c2_return_n_uv_72h"
+            "c2_share_cnt_12h"
+            "c2_share_cnt_168h"
+            "c2_share_cnt_24h"
+            "c2_share_cnt_72h"
+            "c3_click_12h"
+            "c3_click_168h"
+            "c3_click_24h"
+            "c3_click_72h"
+            "c3_is_return_1_12h"
+            "c3_is_return_1_168h"
+            "c3_is_return_1_24h"
+            "c3_is_return_1_72h"
+            "c3_is_share_12h"
+            "c3_is_share_168h"
+            "c3_is_share_24h"
+            "c3_is_share_72h"
+            "c3_return_n_uv_12h"
+            "c3_return_n_uv_168h"
+            "c3_return_n_uv_24h"
+            "c3_return_n_uv_72h"
+            "c3_share_cnt_12h"
+            "c3_share_cnt_168h"
+            "c3_share_cnt_24h"
+            "c3_share_cnt_72h"
+            "c4_avg_ros_168h"
+            "c4_avg_ros_24h"
+            "c4_avg_ros_72h"
+            "c4_avg_ros_minus_168h"
+            "c4_avg_ros_minus_24h"
+            "c4_avg_ros_minus_72h"
+            "c4_avg_ros_one_168h"
+            "c4_avg_ros_one_24h"
+            "c4_avg_ros_one_72h"
+            "c4_avg_rovn_168h"
+            "c4_avg_rovn_24h"
+            "c4_avg_rovn_72h"
+            "c4_avg_str_one_168h"
+            "c4_avg_str_one_24h"
+            "c4_avg_str_one_72h"
+            "c4_diff_ros_168h"
+            "c4_diff_ros_24h"
+            "c4_diff_ros_72h"
+            "c4_diff_ros_minus_168h"
+            "c4_diff_ros_minus_24h"
+            "c4_diff_ros_minus_72h"
+            "c4_diff_ros_one_168h"
+            "c4_diff_ros_one_24h"
+            "c4_diff_ros_one_72h"
+            "c4_diff_rovn_168h"
+            "c4_diff_rovn_24h"
+            "c4_diff_rovn_72h"
+            "c4_diff_str_one_168h"
+            "c4_diff_str_one_24h"
+            "c4_diff_str_one_72h"
+            "c5_avgscore_tags_1d"
+            "c5_avgscore_tags_3d"
+            "c5_avgscore_tags_7d"
+            "c5_matchnum_tags_1d"
+            "c5_matchnum_tags_3d"
+            "c5_matchnum_tags_7d"
+            "c5_maxscore_tags_1d"
+            "c5_maxscore_tags_3d"
+            "c5_maxscore_tags_7d"
+            "c6_avgscore_tags_1d"
+            "c6_avgscore_tags_3d"
+            "c6_avgscore_tags_7d"
+            "c6_matchnum_tags_1d"
+            "c6_matchnum_tags_3d"
+            "c6_matchnum_tags_7d"
+            "c6_maxscore_tags_1d"
+            "c6_maxscore_tags_3d"
+            "c6_maxscore_tags_7d"
+            "d1_ros_cf_rank"
+            "d1_ros_cf_score"
+            "d1_rov_cf_rank"
+            "d1_rov_cf_score"
+            "d2_rank"
+            "d2_score"
+            "d3_exp"
+            "d3_return_n"
+            "d3_rovn"
+            "festive_sim"
+            "head_title_festive_sim"
+            "head_title_merge1_sim"
+            "head_title_merge2_sim"
+            "merge1_sim"
+            "merge2_sim"
+            "title_sim"
+            "day_of_week"
+            "hour"
+            "create_ts_diff"
+            "is_greeting"
+            "total_time"
+            "width"
+            "height"
+            "width/height"
+            "size"
+            "bit_rate"
+      ]
+    }
+  }
+}