Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets

List of datasets used in the paper

Contains extracted meta-features and source links for the datasets.

	data_set_name	num_users	num_items	num_interactions	density	user_item_ratio	item_user_ratio	highest_num_rating_by_single_user	lowest_num_rating_by_single_user	highest_num_rating_on_single_item	lowest_num_rating_on_single_item	mean_num_ratings_by_user	mean_num_ratings_on_item	link
0	Amazon2014-Amazon-Instant-Video	5130	1685	37126	0.429498	3.04451	0.32846	123	5	455	5	7.23704	22.0332	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
1	Amazon2014-Apps-For-Android	87271	13209	752937	0.0653159	6.60693	0.151356	565	5	6282	5	8.62757	57.0018	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
2	Amazon2014-Automotive	2928	1835	20473	0.381043	1.59564	0.626708	51	5	169	5	6.99214	11.1569	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
3	Amazon2014-Baby	19445	7050	160792	0.117292	2.75816	0.362561	125	5	780	5	8.26907	22.8074	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
4	Amazon2014-Beauty	22363	12101	198502	0.0733523	1.84803	0.541117	204	5	431	5	8.87636	16.4038	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
5	Amazon2014-Cell-Phones-And-Accessories	27879	10429	194439	0.066875	2.67322	0.374081	152	5	837	5	6.97439	18.6441	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
6	Amazon2014-Clothing-Shoes-And-Jewelry	39387	23033	278677	0.0307183	1.71002	0.584787	136	5	441	5	7.07535	12.099	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
7	Amazon2014-Digital-Music	5541	3568	64706	0.327289	1.55297	0.643927	578	5	272	5	11.6777	18.1351	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
8	Amazon2014-Grocery-And-Gourmet	14681	8713	151254	0.118245	1.68495	0.593488	204	5	742	5	10.3027	17.3596	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
9	Amazon2014-Health-And-Personal-Care	38609	18534	346355	0.048402	2.08314	0.480044	292	5	1089	5	8.97084	18.6875	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
10	Amazon2014-Home-And-Kitchen	66519	28237	551682	0.0293714	2.35574	0.424495	277	5	1064	5	8.2936	19.5376	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
11	Amazon2014-Musical-Instruments	1429	900	10261	0.797838	1.58778	0.629811	42	5	163	5	7.18055	11.4011	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
12	Amazon2014-Office-Products	4905	2420	53258	0.448674	2.02686	0.493374	94	5	311	5	10.8579	22.0074	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
13	Amazon2014-Patio-Lawn-And-Garden	1686	962	13272	0.818283	1.7526	0.570581	66	5	296	5	7.87189	13.7963	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
14	Amazon2014-Pet-Supplies	19856	8510	157836	0.0934081	2.33325	0.428586	147	5	520	5	7.94903	18.5471	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
15	Amazon2014-Sports-And-Outdoors	35598	18357	296337	0.045348	1.93921	0.515675	296	5	1042	5	8.32454	16.143	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
16	Amazon2014-Tools-And-Home-Improvement	16638	10217	134476	0.079108	1.62846	0.614076	142	5	504	5	8.08246	13.162	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
17	Amazon2014-Toys-And-Games	19412	11924	167597	0.0724059	1.62798	0.614259	550	5	309	5	8.63368	14.0554	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
18	Amazon2014-Video-Games	24303	10672	231780	0.0893656	2.27727	0.439123	773	5	802	5	9.53709	21.7185	https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html
19	Amazon2018-Digital-Music	9906	12381	123518	0.100711	0.800097	1.24985	509	5	529	5	12.469	9.97642	https://cseweb.ucsd.edu//~jmcauley/datasets/amazon_v2/index.html
20	Amazon2018-Gift-Cards	147	453	2941	4.41651	0.324503	3.08163	93	5	31	5	20.0068	6.49227	https://cseweb.ucsd.edu//~jmcauley/datasets/amazon_v2/index.html
21	Amazon2018-Industrial-And-Scientific	4353	8342	58664	0.161552	0.521817	1.91638	489	5	78	5	13.4767	7.03237	https://cseweb.ucsd.edu//~jmcauley/datasets/amazon_v2/index.html
22	Amazon2018-Luxury-Beauty	936	2028	20050	1.05626	0.461538	2.16667	440	5	87	5	21.4209	9.88659	https://cseweb.ucsd.edu//~jmcauley/datasets/amazon_v2/index.html
23	Amazon2018-Magazine-Subscriptions	132	294	2027	5.22315	0.44898	2.22727	66	5	29	5	15.3561	6.89456	https://cseweb.ucsd.edu//~jmcauley/datasets/amazon_v2/index.html
24	Amazon2018-Musical-Instruments	9930	24780	206241	0.0838155	0.400726	2.49547	1747	5	218	5	20.7695	8.32288	https://cseweb.ucsd.edu//~jmcauley/datasets/amazon_v2/index.html
25	Amazon2018-Prime-Pantry	4898	13073	126702	0.197874	0.374665	2.66905	554	5	183	5	25.8681	9.69188	https://cseweb.ucsd.edu//~jmcauley/datasets/amazon_v2/index.html
26	Amazon2018-Software	643	1339	9596	1.11455	0.480209	2.08243	89	5	49	5	14.9238	7.16654	https://cseweb.ucsd.edu//~jmcauley/datasets/amazon_v2/index.html
27	Behance	23724	29794	687070	0.097204	0.796268	1.25586	1763	5	1340	5	28.961	23.0607	https://cseweb.ucsd.edu/~jmcauley/datasets.html#behance
28	BookCrossing	7025	9432	118668	0.179095	0.744805	1.34263	2499	5	380	5	16.8922	12.5814	http://www.informatik.uni-freiburg.de/~cziegler/BX/
29	CiaoDVD	1807	2062	28059	0.753053	0.876334	1.14112	460	5	202	5	15.5279	13.6077	https://guoguibing.github.io/librec/datasets.html
30	CiteULike-A	5536	15429	200180	0.234362	0.358805	2.78703	390	5	321	5	36.1597	12.9743	https://github.com/js05212/citeulike-a
31	CiteULike-T	3527	6339	77546	0.346843	0.556397	1.79728	1024	5	356	5	21.9864	12.2332	https://github.com/js05212/citeulike-t
32	DeliveryHero-SE	36088	17932	347987	0.0537739	2.01249	0.496896	148	5	405	5	9.64273	19.4059	https://github.com/deliveryhero/dh-reco-dataset
33	Diginetica	6459	3905	46115	0.182834	1.65403	0.604583	38	5	124	5	7.13965	11.8092	https://competitions.codalab.org/competitions/11161
34	Docear-Mind-Maps	1769	578	17271	1.68913	3.06055	0.326738	370	5	1399	5	9.76314	29.8806	https://docear.org/labs/
35	Epinions	20397	21901	446892	0.10004	0.931327	1.07374	611	5	1869	5	21.9097	20.4051	http://www.trustlet.org/downloaded_epinions.html
36	Escorts	1474	1021	15887	1.05565	1.44368	0.692673	103	5	182	5	10.7782	15.5602	https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1001109
37	FilmTrust	1208	406	31668	6.45695	2.97537	0.336093	145	5	989	5	26.2152	78	https://guoguibing.github.io/librec/datasets.html
38	Foursquare-NYC1	547	547	4524	1.51199	1	1	40	5	50	5	8.27057	8.27057	https://sites.google.com/site/yangdingqi/home/foursquare-dataset
39	Foursquare-NYC2	1062	3895	40825	0.986948	0.272657	3.66761	318	5	273	5	38.4416	10.4814	https://sites.google.com/site/yangdingqi/home/foursquare-dataset
40	Foursquare-Tokyo	2287	7055	128530	0.796602	0.324167	3.08483	348	5	1274	5	56.2003	18.2183	https://sites.google.com/site/yangdingqi/home/foursquare-dataset
41	Frappe	576	550	13116	4.14015	1.04727	0.954861	146	5	352	5	22.7708	23.8473	https://www.baltrunas.info/context-aware
42	GoogleLocal2021-Alaska	42382	8738	678297	0.183158	4.85031	0.206172	433	5	4152	5	16.0044	77.6261	https://datarepo.eng.ucsd.edu/mcauley_group/gdrive/googlelocal/
43	GoogleLocal2021-District-Of-Columbia	73064	7711	870531	0.154515	9.4753	0.105538	970	5	4411	5	11.9146	112.895	https://datarepo.eng.ucsd.edu/mcauley_group/gdrive/googlelocal/
44	GoogleLocal2021-North-Dakota	43536	8655	714773	0.189694	5.03016	0.198801	419	5	3790	5	16.418	82.585	https://datarepo.eng.ucsd.edu/mcauley_group/gdrive/googlelocal/
45	GoogleLocal2021-South-Dakota	57728	10291	890388	0.149877	5.60956	0.178267	417	5	4686	5	15.4238	86.521	https://datarepo.eng.ucsd.edu/mcauley_group/gdrive/googlelocal/
46	GoogleLocal2021-Vermont	32987	7604	459769	0.183297	4.33811	0.230515	396	5	3309	5	13.9379	60.4641	https://datarepo.eng.ucsd.edu/mcauley_group/gdrive/googlelocal/
47	GoogleLocal2021-Wyoming	44081	8254	606353	0.166652	5.34056	0.187246	381	5	3023	5	13.7554	73.4617	https://datarepo.eng.ucsd.edu/mcauley_group/gdrive/googlelocal/
48	Hetrec-LastFM	1090	3646	52551	1.32232	0.298958	3.34495	899	5	177	5	48.2119	14.4133	https://grouplens.org/datasets/hetrec-2011/
49	Jester-4	4096	136	97879	17.5708	30.1176	0.0332031	130	5	4094	163	23.8962	719.699	https://eigentaste.berkeley.edu/dataset/
50	KGRec-Music	5199	8640	751531	1.67307	0.601736	1.66186	636	50	1424	10	144.553	86.9828	https://www.upf.edu/web/mtg/kgrec
51	LearningFromSets	854	8870	450123	5.94223	0.0962796	10.3864	4085	22	730	5	527.076	50.7467	https://grouplens.org/datasets/learning-from-sets-of-items-2019/
52	MarketBias-ModCloth	763	2628	39652	1.97749	0.290335	3.4443	595	5	243	5	51.9685	15.0883	https://github.com/MengtingWan/marketBias
53	ModCloth-Clothing-Fit	2238	301	15798	2.34518	7.43522	0.134495	26	5	427	5	7.05898	52.485	https://cseweb.ucsd.edu/~jmcauley/datasets.html#clothing_fit
54	MovieLens-100K	943	1349	99287	7.80493	0.699036	1.43054	648	19	583	5	105.288	73.6004	https://grouplens.org/datasets/movielens/
55	MovieLens-1M	6040	3416	999611	4.8448	1.76815	0.565563	2277	18	3428	5	165.499	292.626	https://grouplens.org/datasets/movielens/
56	MovieLens-Latest-Small	610	3650	90274	4.05453	0.167123	5.98361	2132	12	329	5	147.99	24.7326	https://grouplens.org/datasets/movielens/
57	MovieTweetings	23421	11888	802784	0.288326	1.97014	0.507579	2389	5	2629	5	34.2762	67.5289	https://github.com/sidooms/MovieTweetings
58	Myket-Android	9983	7814	545591	0.699411	1.27758	0.782731	663	5	3846	5	54.652	69.8222	https://github.com/erfanloghmani/myket-android-application-market-dataset
59	Personality	1819	14868	984499	3.64024	0.122343	8.17372	7025	15	1541	5	541.231	66.216	https://grouplens.org/datasets/personality-2018/
60	Rekko	24523	4305	291882	0.276478	5.6964	0.175549	810	5	3746	5	11.9024	67.8007	https://boosters.pro/championship/rekko_challenge/data
61	RentTheRunway	4911	3166	42380	0.272571	1.55117	0.644675	359	5	152	5	8.62961	13.386	https://cseweb.ucsd.edu/~jmcauley/datasets.html#clothing_fit
62	Retailrocket	22178	17803	240938	0.0610225	1.24575	0.802732	2767	5	300	5	10.8638	13.5336	https://www.kaggle.com/datasets/retailrocket/ecommerce-dataset
63	Sketchfab	25587	15254	546349	0.13998	1.6774	0.596162	1214	5	8026	5	21.3526	35.8168	https://github.com/EthanRosenthal/rec-a-sketch/tree/master
64	StackOverflow	34151	23098	470966	0.0597051	1.47853	0.676349	3544	5	2544	5	13.7907	20.3899	http://konect.cc/networks/stackexchange-stackoverflow/
65	Steam-Australian-Reviews	1761	443	10730	1.37542	3.97517	0.251562	10	5	565	5	6.09313	24.2212	https://cseweb.ucsd.edu/~jmcauley/datasets.html#steam_data
66	TaFeng	26039	15483	709356	0.175948	1.68178	0.594608	1009	5	5427	5	27.2421	45.8152	https://www.kaggle.com/datasets/chiranjivdas09/ta-feng-grocery-dataset
67	Twitch-Full	2067	967	11267	0.563691	2.13754	0.467828	16	5	49	5	5.4509	11.6515	https://cseweb.ucsd.edu/~jmcauley/datasets.html#twitch
68	WikiLens	241	1594	20539	5.34655	0.151192	6.61411	702	5	77	5	85.2241	12.8852	http://konect.cc/networks/wikilens-ratings/
69	Yahoo-Movies	7620	3783	207771	0.720765	2.01427	0.496457	1450	5	4294	5	27.2665	54.9223	https://webscope.sandbox.yahoo.com/catalog.php?datatype=r
70	Yahoo-Music3	15400	1000	365704	2.3747	15.4	0.0649351	648	10	5587	66	23.747	365.704	https://webscope.sandbox.yahoo.com/catalog.php?datatype=r
71	Yahoo-Semi-Synthetic	7597	3675	197095	0.705954	2.06721	0.483744	1440	5	4225	5	25.9438	53.6313	https://www.baltrunas.info/context-aware

List of algorithms used in the paper.

Contains the library that the algorithm implementation originates from.

	algorithm_name	library
0	BPR	RecBole
1	CDAE	RecBole
2	DMF	RecBole
3	EASE	RecBole
4	ENMF	RecBole
5	ImplicitMF	LensKit
6	ItemItem	LensKit
7	ItemKNN	RecBole
8	ItemKNNRP	RecPack
9	LightGCN	RecBole
10	LINE	RecBole
11	MacridVAE	RecBole
12	MultiDAE	RecBole
13	MultiVAE	RecBole
14	NCEPLRec	RecBole
15	NeuMF	RecBole
16	NMF	RecPack
17	Pop	RecBole
18	PopScore	LensKit
19	Random	RecBole
20	RecVAE	RecBole
21	SimpleX	RecBole
22	SVD	RecPack
23	UserUser	LensKit

Reproducibility Instructions

Installing requirements

This project was tested with Python 3.10 on Windows and Linux.
There are three options to install the requirements.

1. Build a Docker container with the provided Dockerfile.
2. Build a Singularity container with the provided definition file mtl.def.
3. Install the requirements to your local Python environment with pip install -r requirements.txt.

Meta-Dataset Acquisition

To reproduce the acquisition of the meta-dataset, follow the instructions below.
This includes downloading, pre-processing, training, and evaluating all algorithms on all datasets.
An HPC cluster is recommended for this task as this requires a significant amount of computational resources.
For convenience, the meta-dataset is already included in the repository, so these steps are not necessary to reproduce only the algorithm selection results.

1. Download the source file from the link in the dataset table and place it in the data_sets/<data_set_name>/source/files/ directory and remove the placeholder file in that directory.
2. Convert the raw data to the processed data.
   1. To run on HPC: run hpc_convert_raw_to_processed.py.
   2. To run locally: run convert_raw_to_processed.py --data_set_name <data_set_name> for each data_set_name in hpc_data_set_names.data_set_names.
3. Convert the processed data to the atomic data.
   1. To run on HPC: run hpc_convert_processed_to_atomic.py.
   2. To run locally: run convert_processed_to_atomic.py --data_set_name <data_set_name> for each data_set_name in hpc_data_set_names.data_set_names.
4. Train all algorithms on all datasets.
   1. To run on HPC: run hpc_execute.py --mode fit.
   2. To run locally: run execution_master.py --mode fit --data_set_name <data_set_name> --algorithm_name <algorithm_name> --algorithm_config <algorithm_config> --fold <fold> for each data_set_name in hpc_data_set_names.data_set_names for each algorithm_name in hpc_data_set_names.algorithm_names for each algorithm_config retrieved by calling algorithm_config.retrieve_configurations(algorithm_name) for each fold in [0,1,2,3,4].
5. Create predictions with all algorithms on all datasets.
   1. To run on HPC: run hpc_execute.py --mode predict.
   2. To run locally: run execution_master.py --mode predict --data_set_name <data_set_name> --algorithm_name <algorithm_name> --algorithm_config <algorithm_config> --fold <fold> for each data_set_name in hpc_data_set_names.data_set_names for each algorithm_name in hpc_data_set_names.algorithm_names for each algorithm_config retrieved by calling algorithm_config.retrieve_configurations(algorithm_name) for each fold in [0,1,2,3,4].
6. Evaluate the predictions of all algorithms on all datasets.
   1. To run on HPC: run hpc_execute.py --mode evaluate.
   2. To run locally: run execution_master.py --mode evaluate --data_set_name <data_set_name> --algorithm_name <algorithm_name> --algorithm_config <algorithm_config> --fold <fold> for each data_set_name in hpc_data_set_names.data_set_names for each algorithm_name in hpc_data_set_names.algorithm_names for each algorithm_config retrieved by calling algorithm_config.retrieve_configurations(algorithm_name) for each fold in [0,1,2,3,4].
7. Run aggregate_results.py to aggregate the results of the evaluations of all algorithms on all datasets.
8. Run create_meta_dataset.py to create the meta-dataset from the aggregated results.

Algorithm Selection

These steps involve training and evaluating the meta-learning algorithms on the meta-dataset to select the best-performing algorithms.
An HPC cluster is recommended for this task as this requires a significant amount of computational resources.

1. Make sure that the meta-dataset for the desired target metric is in the algorithm_selection/ directory, e.g., the file [email protected].
2. Train and evaluate the meta-learning algorthms on the meta-dataset.
   1. To run on HPC: run algorithm_selection/hpc_mtl.py
   2. To run locally: run algorithm_selection/process_evaluation.py --metric NDCG@10 --split loo --eval_id <eval_id> --objective <objective> --multi_labels 0 --algo_id <algo_id> --model <model> for each eval_id in range(72) for each objective in ["regression", "ranking"] for each algo_id in range(46) for each model in ["linear_regression", "k_nearest_neighbors", "xgboost", "random_forest", "autogluon", "autogluon_best", "autogluon_best_opt"].
3. Run algorithm_selection/aggregate_results.py to aggregate the results of the evaluations of the meta-learning algorithms on the meta-dataset.
4. Run algorithm_selection/evaluate_meta_learning.py to evaluate the meta-learning algorithms.
5. Run algorithm_selection/plot_meta_learning.py to create the plots presented in the paper.

Meta-Dataset for NDCG@10

This is the meta-dataset for the NDCG@10 metric.
The first twelve columns contain the meta-features and the remaining columns contain the algorithm performances in NDCG@10.
The integer in the name of each algorithm is the ID of the hyperparameter configuration of that algorithm.
Refer to algorithm_config.py for the hyperparameters.
The content of this file is stored in algorithm_selection/metaset_NDCG@10.
The meta-datasets for other metrics are also stored there.

	num_users	num_items	num_interactions	density	user_item_ratio	item_user_ratio	highest_num_rating_by_single_user	lowest_num_rating_by_single_user	highest_num_rating_on_single_item	lowest_num_rating_on_single_item	mean_num_ratings_by_user	mean_num_ratings_on_item	BPR_0	BPR_1	CDAE_0	CDAE_1	DMF_0	DMF_1	EASE_0	EASE_1	ENMF_0	ENMF_1	ImplicitMF_0	ImplicitMF_1	ItemItem_0	ItemItem_1	ItemKNNRP_0	ItemKNNRP_1	ItemKNN_0	ItemKNN_1	LINE_0	LINE_1	LightGCN_0	LightGCN_1	MacridVAE_0	MacridVAE_1	MultiDAE_0	MultiDAE_1	MultiVAE_0	MultiVAE_1	NCEPLRec_0	NCEPLRec_1	NMF_0	NMF_1	NeuMF_0	NeuMF_1	PopScore_0	PopScore_1	Pop_0	Random_0	RecVAE_0	RecVAE_1	SVD_0	SVD_1	SimpleX_0	SimpleX_1	UserUser_0	UserUser_1
0	5130	1685	37126	0.429498	3.04451	0.32846	123	5	455	5	7.23704	22.0332	0.02425	0.0424356	0.0313322	0.0241582	0.0123626	0.0273587	0.0559661	0.0538546	0.0411646	0.0441404	0.0437053	0.0497425	0.0536996	0.0536975	0.0512569	0.0522324	0.0523874	0.0525874	0.011842	0.0368853	0.0362898	0.0480111	0.0520537	0.0536881	0.0242335	0.0438581	0.0253536	0.041367	0.0364672	0.0301286	0.0230696	0.0222851	0.0158267	0.0350131	0.0135585	0.0135322	0.0136133	0.0009643	0.0426781	0.044914	0.0401516	0.0465227	0.0506278	0.0510195	0.0471966	0.0474802
1	87271	13209	752937	0.0653159	6.60693	0.151356	565	5	6282	5	8.62757	57.0018	0.0120346	0.0180502	0.00702397	0.00961683	0.00592101	0.00796855	0.0296521	0.0291448	0.0160117	0.0164892	0.023019	0.0240017	0.0236733	0.023681	0.0204474	0.0212977	0.0209543	0.0216519	0.00377996	0.00787287	0.0107426	0.019268	0.0297816	0.0296568	0.0163569	0.0222992	0.015219	0.0220876	0.0139829	0.0111958	0.0145375	0.0136689	0.0106611	0.0100129	0.00957794	0.00957794	0.00956282	0.000120487	0.0203759	0.0198151	0.0190139	0.0209801	0.0223691	0.0223273	0.023858	0.0232765
2	2928	1835	20473	0.381043	1.59564	0.626708	51	5	169	5	6.99214	11.1569	0.00852434	0.0147179	0.0123575	0.00652071	0.0106931	0.0146502	0.0232037	0.023439	0.0181416	0.0184004	0.0190173	0.0193367	0.0189664	0.0189664	0.0178616	0.0186705	0.0169555	0.0180795	0.00542343	0.0128142	0.0143944	0.0209628	0.0200697	0.0215762	0.0136673	0.0160961	0.0141309	0.0176762	0.0156362	0.012668	0.0143327	0.01232	0.00580741	0.0133894	0.00634894	0.0062786	0.00567149	0.000670307	0.0126282	0.0141954	0.0174938	0.0183425	0.0181831	0.0186543	0.0233328	0.0233328
3	19445	7050	160792	0.117292	2.75816	0.362561	125	5	780	5	8.26907	22.8074	0.00266762	0.00450848	0.00262699	0.00724885	0.00390634	0.00456026	0.0120218	0.0119448	0.00740345	0.00728133	0.00828438	0.00839761	0.00687671	0.00687699	0.00497555	0.00531108	0.00495796	0.00514848	0.00160425	0.00322965	0.00333818	0.00749577	0.0116712	0.0114578	0.00512711	0.00636613	0.00523335	0.00658222	0.00677078	0.00612343	0.00659974	0.00672952	0.00300909	0.0033852	0.00530618	0.00531122	0.00520935	0.000220003	0.00391302	0.00550625	0.00703267	0.00761774	0.00867997	0.00847636	0.0111924	0.0111752
4	22363	12101	198502	0.0733523	1.84803	0.541117	204	5	431	5	8.87636	16.4038	0.00862803	0.0146034	0.00888278	0.0135534	0.00284668	0.0107114	0.0261833	0.0252927	0.017121	0.0169575	0.0169796	0.0191491	0.0194821	0.0194735	0.017821	0.0182382	0.0192573	0.0190828	0.00719363	0.0121313	0.0100629	0.0187015	0.0265315	0.026861	0.0136693	0.0154759	0.0139042	0.0162903	0.0184772	0.0188235	0.0135162	0.0150742	0.0110031	0.0117065	0.00315489	0.00314502	0.00306538	0.000136631	0.0125193	0.0155474	0.0152766	0.0175097	0.0173735	0.0168326	0.0229044	0.0224624
5	27879	10429	194439	0.066875	2.67322	0.374081	152	5	837	5	6.97439	18.6441	0.00576843	0.0106691	0.00499954	0.0140746	0.0027724	0.00748095	0.0197258	0.0192938	0.0118373	0.0120467	0.0154528	0.0168753	0.0119012	0.0119047	0.0104545	0.0109093	0.0106302	0.0109448	0.00329726	0.00735478	0.00597052	0.0154295	0.0200678	0.0203035	0.0106203	0.0120994	0.0109672	0.0126534	0.0108578	0.0105319	0.00975808	0.00976822	0.0065166	0.00790453	0.00428623	0.00428281	0.00423602	0.000128167	0.00800334	0.0110741	0.011707	0.0128408	0.0156143	0.014739	0.0181068	0.0180917
6	39387	23033	278677	0.0307183	1.71002	0.584787	136	5	441	5	7.07535	12.099	0.00127303	0.00290703	0.00134165	0.00442653	0.00099524	0.00233878	0.00891547	0.00885482	0.00463567	0.00496011	0.00563318	0.00671929	0.00452617	0.00452617	0.00405611	0.00427636	0.00409947	0.0042928	0.000836596	0.00224049	0.00188066	0.00544145	0.0087568	0.00869772	0.00291515	0.00357328	0.00300955	0.00386118	0.00505878	0.00534057	0.00386336	0.00402537	0.001534	0.00167964	0.00122787	0.00122823	0.00122096	5.08378e-05	0.00225522	0.0030142	0.00406091	0.0045431	0.00636595	0.00586619	0.00866364	0.00866272
7	5541	3568	64706	0.327289	1.55297	0.643927	578	5	272	5	11.6777	18.1351	0.0245069	0.0459529	0.0340739	0.0140115	0.0100489	0.0305683	0.0600979	0.057389	0.0485438	0.0485175	0.0460824	0.0525419	0.0492411	0.0495292	0.0454627	0.0449574	0.0542058	0.0529273	0.0183068	0.0454763	0.034707	0.0512744	0.0609918	0.0627108	0.0363046	0.0446316	0.0384632	0.0445016	0.0515003	0.0480722	0.0357048	0.0386181	0.0231537	0.0369421	0.00839159	0.00839562	0.00822949	0.000607883	0.0378738	0.0423456	0.042679	0.0479656	0.0543699	0.054939	0.0509289	0.0503666
8	14681	8713	151254	0.118245	1.68495	0.593488	204	5	742	5	10.3027	17.3596	0.0100631	0.0175219	0.0105825	0.0166233	0.00669617	0.0143808	0.0291648	0.0284457	0.0192997	0.0206894	0.0207458	0.022406	0.0222882	0.0222942	0.0201448	0.0209666	0.0224817	0.0222906	0.00627239	0.0128303	0.0118783	0.022218	0.0295253	0.0295167	0.0161512	0.018286	0.0167579	0.0191031	0.0179961	0.0160164	0.016845	0.0151695	0.0114471	0.0125257	0.0086887	0.00869081	0.00854678	0.000240657	0.0142217	0.0173138	0.0199807	0.0209178	0.0189682	0.0188713	0.0257096	0.0246616
9	38609	18534	346355	0.048402	2.08314	0.480044	292	5	1089	5	8.97084	18.6875	0.0060556	0.0107693	0.00518995	0.0135942	0.00112652	0.00692061	0.0208718	0.0204001	0.0124921	0.0127222	0.0121739	0.0139889	0.0146679	0.0146519	0.0133293	0.0135842	0.0142243	0.0142859	0.00469555	0.00822243	0.00642423	0.0137173	0.0209388	0.020941	0.00964504	0.0110026	0.0100153	0.0115951	0.0128096	0.0128906	0.0105289	0.0113284	0.00762327	0.00763745	0.00333838	0.00333838	0.00334378	9.00546e-05	0.00891789	0.0114162	0.0116195	0.0126357	0.0136223	0.0134703	0.0189609	0.0186877
10	66519	28237	551682	0.0293714	2.35574	0.424495	277	5	1064	5	8.2936	19.5376	0.0015293	0.00268931	0.00144741	0.00352513	0.00116424	0.00193804	0.0103108	0.00996761	0.0039095	0.00428258	0.00436766	0.00520116	0.0058488	0.00585069	0.00508935	0.00523347	0.00535006	0.00536834	0.0011152	0.00202278	0.00179704	0.00412502	0.00984102	0.00987012	0.00283618	0.00362764	0.00291091	0.00360074	0.00462647	0.00515202	0.00411007	0.00408368	0.00166406	0.00167227	0.00194288	0.00194288	0.00193152	6.01606e-05	0.00301588	0.00352906	0.00419493	0.00428159	0.00592901	0.0059008	0.00906088	0.00905334
11	1429	900	10261	0.797838	1.58778	0.629811	42	5	163	5	7.18055	11.4011	0.00995747	0.0150713	0.0127074	0.014561	0.0143104	0.0163407	0.0247177	0.0246673	0.0161702	0.0162565	0.0177309	0.0167465	0.0177811	0.0177811	0.0158844	0.0175635	0.0142321	0.0156073	0.00625928	0.0108025	0.0156591	0.0233868	0.0208831	0.0219427	0.0139656	0.018627	0.0153389	0.0185622	0.0124179	0.0102162	0.0126257	0.00952438	0.00520541	0.0147822	0.014531	0.014476	0.0102209	0.00164287	0.0135168	0.0150513	0.0204843	0.0206599	0.0181039	0.0184733	0.024018	0.024018
12	4905	2420	53258	0.448674	2.02686	0.493374	94	5	311	5	10.8579	22.0074	0.00837316	0.0141611	0.010983	0.0113337	0.010598	0.0127246	0.026918	0.0262463	0.0181112	0.0179995	0.0161763	0.0176217	0.0248464	0.024846	0.0236104	0.023839	0.0238814	0.0240173	0.00607421	0.0119977	0.0120685	0.0206579	0.0259312	0.0260317	0.0131863	0.0166841	0.0138541	0.0162267	0.0180803	0.0164063	0.0150499	0.0163523	0.00790182	0.0118705	0.00937648	0.00937149	0.009161	0.000859437	0.0123013	0.0150652	0.0173834	0.0207636	0.0214294	0.0220872	0.023364	0.0227925
13	1686	962	13272	0.818283	1.7526	0.570581	66	5	296	5	7.87189	13.7963	0.0156265	0.0234304	0.0204616	0.0191423	0.0187653	0.0201362	0.03306	0.0329849	0.0222438	0.0240208	0.0237303	0.0248055	0.0298666	0.0298666	0.0280008	0.0291696	0.0258841	0.027355	0.0104443	0.0177551	0.022521	0.0306136	0.0316629	0.0321668	0.0229315	0.0270897	0.023687	0.0274177	0.021789	0.0183949	0.0184477	0.0193064	0.00881368	0.0221578	0.0186782	0.0186952	0.0129225	0.00168676	0.0208948	0.024331	0.025275	0.0284278	0.0279567	0.0286282	0.0320461	0.0320519
14	19856	8510	157836	0.0934081	2.33325	0.428586	147	5	520	5	7.94903	18.5471	0.00593294	0.0110822	0.00524511	0.0114064	0.00377105	0.00806678	0.0215618	0.0208639	0.0139929	0.0141115	0.0150628	0.0164501	0.0154355	0.0154355	0.012876	0.0135961	0.0130293	0.0133481	0.00343836	0.00833659	0.00676751	0.015243	0.021115	0.021306	0.0103295	0.0121075	0.0107914	0.0124622	0.0140444	0.0128267	0.0116355	0.011586	0.00683116	0.00800416	0.00382522	0.0038432	0.00380416	0.000174615	0.00908084	0.0115436	0.0132222	0.0146681	0.0157272	0.0152349	0.0189891	0.0189371
15	35598	18357	296337	0.045348	1.93921	0.515675	296	5	1042	5	8.32454	16.143	0.00344116	0.00655391	0.00264553	0.00976255	0.00268583	0.00533289	0.015111	0.0147437	0.00801543	0.00864773	0.0103489	0.0114888	0.00883789	0.00884026	0.00699146	0.00733647	0.00723893	0.00739114	0.00211231	0.00467554	0.00382978	0.00943575	0.0152209	0.0152191	0.00557949	0.00701973	0.0058224	0.0074453	0.00875179	0.00883773	0.0069613	0.0075597	0.00421292	0.00463256	0.00343981	0.00344313	0.00346833	9.57061e-05	0.004969	0.00669749	0.00776841	0.00890407	0.011676	0.010938	0.0138419	0.013836
16	16638	10217	134476	0.079108	1.62846	0.614076	142	5	504	5	8.08246	13.162	0.00275733	0.00540219	0.00314835	0.00426586	0.00232729	0.00422191	0.0142234	0.0139465	0.00844311	0.00843112	0.00899382	0.0101812	0.00843754	0.00843754	0.00734513	0.0076903	0.00771426	0.00766885	0.00187225	0.00427037	0.00380355	0.00898054	0.0133149	0.0134609	0.00506499	0.0061102	0.00530172	0.00680504	0.00878281	0.0090119	0.00669234	0.00707662	0.00317055	0.00381434	0.00382723	0.00382743	0.00378699	0.000166045	0.00426883	0.00582532	0.00774698	0.00862316	0.00893509	0.00861806	0.0135822	0.0135812
17	19412	11924	167597	0.0724059	1.62798	0.614259	550	5	309	5	8.63368	14.0554	0.00591986	0.0119869	0.00774412	0.00405909	0.001698	0.00534266	0.0224506	0.0218119	0.0103316	0.0109	0.011692	0.0143406	0.017433	0.0174342	0.0159323	0.016308	0.0170028	0.0169211	0.00543184	0.0112682	0.00795819	0.0160748	0.0228461	0.0229535	0.0100145	0.0121821	0.0102719	0.0123873	0.0131545	0.0156199	0.00851238	0.00926304	0.00812587	0.00935372	0.00214902	0.00214894	0.00211829	0.000161963	0.00899166	0.0119521	0.00918009	0.010323	0.0164658	0.0161696	0.0214678	0.021482
18	24303	10672	231780	0.0893656	2.27727	0.439123	773	5	802	5	9.53709	21.7185	0.0106277	0.0200908	0.00873714	0.0195022	0.00309596	0.0135791	0.0305225	0.0296525	0.019892	0.0210868	0.0241755	0.0267533	0.0222249	0.0222596	0.0184475	0.0189526	0.022257	0.022198	0.00685192	0.0156216	0.0111917	0.0255427	0.0316596	0.0317175	0.0162584	0.0186852	0.0163397	0.0201886	0.0217848	0.0208604	0.0155712	0.0161223	0.0133331	0.0144762	0.00431078	0.00431009	0.00423782	0.00016925	0.0134689	0.0182641	0.01834	0.0202808	0.0259655	0.0255052	0.0268735	0.0266668
19	9906	12381	123518	0.100711	0.800097	1.24985	509	5	529	5	12.469	9.97642	0.00891908	0.0186939	0.0182251	0.00556018	0.00229607	0.0099715	0.0340761	0.0322743	0.0146724	0.0160241	0.0180476	0.0222748	0.0257292	0.0257396	0.0212377	0.0230188	0.0224969	0.0238216	0.00950849	0.0188555	0.0138109	0.0249601	0.0304845	0.0304481	0.0187345	0.0257587	0.0212758	0.0277486	0.0183504	0.0234644	0.0100528	0.0116932	0.0120141	0.0152134	0.00511908	0.00511731	0.00508505	0.000214911	0.0200725	0.0227442	0.0123286	0.0147891	0.024522	0.0248793	0.0310079	0.0310023
20	147	453	2941	4.41651	0.324503	3.08163	93	5	31	5	20.0068	6.49227	0.0307227	0.0381414	0.0349023	0.0413241	0.0428806	0.0373216	0.0518529	0.0504684	0.02905	0.0209201	0.0341759	0.0297404	0.0421188	0.0420743	0.0458748	0.0447149	0.0428619	0.0459187	0.0255148	0.0382698	0.0360682	0.0458627	0.0394672	0.0390486	0.0377063	0.0376705	0.0389064	0.0405892	0.0394214	0.0394214	0.0288718	0.0179601	0.0244698	0.0406736	0.0299125	0.0290475	0.00869292	0.00699172	0.0331894	0.0371384	0.0455857	0.0478173	0.0375055	0.0360439	0.0534999	0.0534999
21	4353	8342	58664	0.161552	0.521817	1.91638	489	5	78	5	13.4767	7.03237	0.00545109	0.0126901	0.0129341	0.00251626	0.00199905	0.00634887	0.0221051	0.0213314	0.0117988	0.0123992	0.00900362	0.0138009	0.0205209	0.020512	0.0178221	0.0197629	0.0196004	0.0205335	0.00670079	0.0142819	0.0110356	0.0161127	0.0194816	0.0200337	0.0134225	0.0164267	0.0140804	0.0171164	0.0128071	0.0162322	0.007488	0.00976972	0.00583386	0.0105086	0.0022903	0.00225902	0.00225043	0.000398427	0.0161226	0.0157821	0.00847517	0.0112137	0.0169537	0.0177849	0.0225155	0.0225155
22	936	2028	20050	1.05626	0.461538	2.16667	440	5	87	5	21.4209	9.88659	0.0231964	0.0386201	0.0427373	0.0250488	0.0146347	0.0275726	0.054007	0.0517775	0.0436567	0.0226988	0.0326952	0.0395196	0.0418864	0.0418969	0.0357672	0.0383552	0.0439638	0.043567	0.0190171	0.0379779	0.0376129	0.0456038	0.0457277	0.0487825	0.0385686	0.0433983	0.0414635	0.0430386	0.0446758	0.0417578	0.0362802	0.0376736	0.012749	0.0339076	0.0165969	0.0165818	0.0152103	0.00220769	0.0418007	0.0451104	0.0402681	0.0470686	0.0466888	0.0465009	0.0488041	0.0488008
23	132	294	2027	5.22315	0.44898	2.22727	66	5	29	5	15.3561	6.89456	0.0705118	0.0616006	0.0742731	0.0395118	0.0328645	0.0286914	0.0847429	0.0826027	0.0672282	0.0261535	0.0713773	0.0674361	0.0810248	0.0810248	0.0775511	0.0803713	0.0817396	0.0828137	0.0626061	0.0589545	0.0802813	0.0766317	0.0827451	0.0807179	0.0731335	0.0811392	0.0749589	0.0805591	0.0865856	0.0865856	0.0527987	0.0369518	0.0421271	0.0717977	0.0247779	0.0243647	0.0133102	0.0130453	0.0759842	0.0753071	0.085846	0.0857292	0.0650544	0.0648616	0.0783497	0.0783497
24	9930	24780	206241	0.0838155	0.400726	2.49547	1747	5	218	5	20.7695	8.32288	0.00326035	0.00678793	0.00659289	0.00357779	0.000414183	0.00507664	0.0156428	0.0150142	0.00479188	0.00637259	0.00688773	0.00774507	0.00989458	0.0100254	0.00674141	0.00818429	0.00979509	0.0106535	0.00352134	0.00706442	0.00455803	0.00944513	0.0121281	0.0113812	0.00694253	0.0108299	0.00400296	0.0116311	0.00675352	0.00850485	0.00317096	0.0051018	0.00482568	0.0058843	0.00285217	0.00283965	0.00285167	0.000167198	0.00936887	0.00974302	0.00443819	0.00644086	0.0107871	0.0112282	0.0152771	0.0152443
25	4898	13073	126702	0.197874	0.374665	2.66905	554	5	183	5	25.8681	9.69188	0.00346938	0.00542165	0.00576933	0.00686452	0.00222764	0.00572814	0.0177049	0.0161785	0.00830599	0.00815566	0.00841229	0.00982774	0.0123207	0.0126312	0.00994829	0.0104862	0.0105796	0.0115226	0.00325811	0.00554037	0.00448038	0.0107816	0.0105782	0.0103933	0.00600973	0.00851125	0.00739544	0.0103327	0.00864647	0.00981957	0.00589197	0.00637483	0.0038831	0.00433527	0.00632834	0.00631548	0.00628969	0.000439205	0.00737919	0.00754322	0.00776743	0.00850141	0.0133108	0.0137128	0.0148926	0.0148114
26	643	1339	9596	1.11455	0.480209	2.08243	89	5	49	5	14.9238	7.16654	0.0254884	0.032707	0.0350368	0.00927403	0.0112597	0.0147588	0.0449281	0.0437906	0.0381186	0.0182575	0.0336019	0.0407289	0.0429057	0.0429057	0.0410452	0.0407467	0.0426145	0.0419609	0.0235007	0.0301259	0.0372805	0.0439358	0.0413791	0.0445193	0.0321166	0.0381452	0.0357527	0.0371036	0.0396129	0.0431408	0.0312854	0.0297617	0.0116175	0.0300588	0.00923684	0.00928235	0.00664641	0.00258926	0.0346699	0.0385217	0.0349125	0.0380231	0.0392163	0.0412302	0.0459076	0.0459076
27	23724	29794	687070	0.097204	0.796268	1.25586	1763	5	1340	5	28.961	23.0607	0.0149913	0.0220604	0.0194897	0.0241836	0.0076332	0.0132509	0.0545246	0.0506477	0.0256365	0.0259784	0.0282675	0.0311286	0.0407454	0.0410135	0.0376385	0.0363181	0.050012	0.0485983	0.00689464	0.0184951	0.0171006	0.0315092	0.0555079	0.0565048	0.0202786	0.0226181	0.0178962	0.0259963	0.0312307	0.0343298	0.0210509	0.0225787	0.0149935	0.0147809	0.010524	0.0105251	0.010509	0.000186349	0.0226508	0.0283007	0.0254562	0.0282464	0.0377677	0.0378057	0.0343499	0.0318276
28	7025	9432	118668	0.179095	0.744805	1.34263	2499	5	380	5	16.8922	12.5814	0.00868305	0.0162385	0.0121864	0.00751535	0.00217537	0.00994752	0.034463	0.0328962	0.0176141	0.0199425	0.0164745	0.0193118	0.0189094	0.0188908	0.0193099	0.0178471	0.0293308	0.0280188	0.00692062	0.0156841	0.0120565	0.0227306	0.0337033	0.0341586	0.0107681	0.0158265	0.0108149	0.0159935	0.0255763	0.0275413	0.0178768	0.0204704	0.0103	0.0125639	0.00706452	0.00706134	0.00703603	0.000335278	0.0142273	0.0158931	0.0200353	0.0233185	0.0271257	0.028417	0.0282561	0.0278883
29	1807	2062	28059	0.753053	0.876334	1.14112	460	5	202	5	15.5279	13.6077	0.0144558	0.0269358	0.0233275	0.0185127	0.0195465	0.0246682	0.0371476	0.0356033	0.0293129	0.0244713	0.0276786	0.0294997	0.024039	0.024261	0.0218685	0.021557	0.0297295	0.029213	0.00989289	0.0234135	0.0243116	0.0353719	0.0365874	0.0370801	0.0224014	0.028905	0.0238665	0.0295697	0.0268508	0.0206517	0.0225214	0.0213179	0.0109612	0.0218369	0.0170036	0.016941	0.0151085	0.00163559	0.0242194	0.0274407	0.0298265	0.0322903	0.034627	0.034812	0.0317791	0.0315502
30	5536	15429	200180	0.234362	0.358805	2.78703	390	5	321	5	36.1597	12.9743	0.0565822	0.104495	0.0849015	0.0293415	0.00622757	0.0377608	0.161806	0.147556	0.0815313	0.0844878	0.0707619	0.088908	0.136345	0.138328	0.104267	0.113504	0.129857	0.131417	0.0640477	0.110122	0.0744569	0.109069	0.147607	0.148212	0.0908353	0.115853	0.103444	0.117703	0.100596	0.12565	0.0592258	0.0700585	0.0838148	0.0908841	0.00876978	0.00877714	0.00865501	0.00040266	0.119691	0.117883	0.0643959	0.0781728	0.106027	0.107722	0.112721	0.110123
31	3527	6339	77546	0.346843	0.556397	1.79728	1024	5	356	5	21.9864	12.2332	0.0292985	0.0576104	0.0438748	0.0219785	0.0142735	0.0411611	0.0739533	0.0695399	0.0568977	0.0583569	0.0577797	0.0642255	0.0497383	0.0502489	0.0459723	0.0453243	0.0600887	0.059043	0.0219775	0.0538536	0.0407759	0.0663685	0.07489	0.0773338	0.0439116	0.0558045	0.0481166	0.0558393	0.0584127	0.0579557	0.0419042	0.0444591	0.0297921	0.0457417	0.0137067	0.0137283	0.0135423	0.000774205	0.0516229	0.0488962	0.0476364	0.0542338	0.0651433	0.0665209	0.0588332	0.0579656
32	36088	17932	347987	0.0537739	2.01249	0.496896	148	5	405	5	9.64273	19.4059	0.0253539	0.0471589	0.017979	0.0464704	0.00129474	0.0138079	0.0607353	0.0599492	0.0366982	0.037991	0.0327645	0.0446139	0.0537134	0.0537134	0.0513459	0.0521356	0.0517204	0.0518778	0.0221731	0.0406791	0.0248882	0.051691	0.0609662	0.0610508	0.0345092	0.0364068	0.0358973	0.038228	0.0491641	0.0523823	0.0256279	0.035184	0.0352062	0.03592	0.00192868	0.00192629	0.00190402	0.000113723	0.0310026	0.037391	0.0292607	0.0383097	0.0419233	0.040966	0.0577463	0.0577442
33	6459	3905	46115	0.182834	1.65403	0.604583	38	5	124	5	7.13965	11.8092	0.0351248	0.0568233	0.0484194	0.00234786	0.00630845	0.0216991	0.0612199	0.0604594	0.0470583	0.0487093	0.0398735	0.0507656	0.0610931	0.0610931	0.0602595	0.060805	0.0596794	0.0608959	0.0324876	0.0568953	0.0455343	0.0541865	0.0613711	0.0629747	0.0479772	0.0528953	0.0500462	0.0539397	0.0570354	0.0565471	0.0347949	0.0437562	0.0318554	0.0528856	0.00216169	0.00207234	0.00194035	0.000344148	0.0499455	0.0492408	0.0370875	0.0468921	0.050393	0.0500994	0.0593805	0.0593805
34	1769	578	17271	1.68913	3.06055	0.326738	370	5	1399	5	9.76314	29.8806	0.27162	0.30468	0.287251	0.285431	0.0340394	0.203076	0.304676	0.304327	0.234302	0.262265	0.275597	0.251124	0.305025	0.305025	0.3033	0.304876	0.305117	0.30505	0.0981141	0.0913774	0.300219	0.304477	0.305081	0.304919	0.304217	0.304366	0.304806	0.304687	0.269237	0.269237	0.0514755	0.0332943	0.0676883	0.264048	0.253861	0.253861	0.115114	0.00328418	0.304486	0.304152	0.304066	0.30381	0.303602	0.303367	0.301911	0.30143
35	20397	21901	446892	0.10004	0.931327	1.07374	611	5	1869	5	21.9097	20.4051	0.0131959	0.0185265	0.0145506	0.0243665	0.00571016	0.0173152	0.0358055	0.0351036	0.0238731	0.0239107	0.0262119	0.0266838	0.0258705	0.026401	0.0195204	0.0197516	0.0268236	0.0265807	0.0055108	0.012544	0.0141968	0.0261478	0.0349574	0.0345779	0.0140998	0.0176213	0.0158458	0.0197358	0.0256164	0.023694	0.0195916	0.0197841	0.0125241	0.0106635	0.0123042	0.0123042	0.0123608	0.000193101	0.0139752	0.0178564	0.0252591	0.0269064	0.0284737	0.0283849	0.0284109	0.02681
36	1474	1021	15887	1.05565	1.44368	0.692673	103	5	182	5	10.7782	15.5602	0.0328419	0.0529237	0.0434453	0.02397	0.0358166	0.0422014	0.0617212	0.0607607	0.0510248	0.0533285	0.0536482	0.0501849	0.0573712	0.0573626	0.0546314	0.0565856	0.0528946	0.0542757	0.0205028	0.0462422	0.0451887	0.0610316	0.0588433	0.0602144	0.0450397	0.0548007	0.049378	0.0549594	0.0399275	0.0287547	0.040809	0.0366486	0.0174924	0.047364	0.0232282	0.0232476	0.0169911	0.00246738	0.0437414	0.0501042	0.054176	0.0592788	0.0562619	0.0571753	0.0578928	0.057456
37	1208	406	31668	6.45695	2.97537	0.336093	145	5	989	5	26.2152	78	0.312851	0.402488	0.333318	0.420392	0.279856	0.400728	0.434226	0.435283	0.402786	0.410205	0.392898	0.334218	0.38864	0.388785	0.384067	0.384563	0.385094	0.387221	0.0806233	0.216458	0.35549	0.421737	0.420555	0.428704	0.414005	0.42227	0.418746	0.424631	0.345387	0.338423	0.117635	0.0157814	0.238678	0.349972	0.410957	0.410982	0.315717	0.0142044	0.428756	0.430165	0.426409	0.4263	0.405842	0.404252	0.406375	0.411706
38	547	547	4524	1.51199	1	1	40	5	50	5	8.27057	8.27057	0.00527319	0.00479669	0.00565519	0.0110094	0.00747457	0.00772557	0.00840571	0.00858663	0.00646112	0.00540811	0.0069468	0.00594264	0.00640505	0.00640505	0.00586792	0.00634628	0.00560317	0.00614486	0.00459182	0.0050366	0.00619252	0.00667368	0.00619458	0.00656928	0.00596222	0.00697609	0.00574326	0.00627214	0.00531677	0.0055832	0.00497545	0.00489084	0.00441365	0.00594542	0.0111879	0.0113265	0.00525795	0.00290452	0.00618899	0.00480517	0.00745345	0.0060763	0.00601575	0.00604407	0.00944737	0.00944737
39	1062	3895	40825	0.986948	0.272657	3.66761	318	5	273	5	38.4416	10.4814	0.0196109	0.0411362	0.0344539	0.046539	0.0415037	0.0411878	0.0704878	0.0674664	0.0541834	0.0506238	0.0446833	0.0470979	0.0680868	0.0683802	0.0392818	0.0417426	0.0494177	0.0474547	0.0111712	0.028179	0.0332584	0.061761	0.0514486	0.0579409	0.0267761	0.0382193	0.0296299	0.0395328	0.0517781	0.0372434	0.0418896	0.0389043	0.0209787	0.0357964	0.0458472	0.0458359	0.0449868	0.00201878	0.0379474	0.0400206	0.0614957	0.0650149	0.0589474	0.0620059	0.0587916	0.0565833
40	2287	7055	128530	0.796602	0.324167	3.08483	348	5	1274	5	56.2003	18.2183	0.072658	0.115479	0.110322	0.127836	0.0562402	0.118078	0.175304	0.17102	0.152982	0.153972	0.100498	0.105896	0.15086	0.150914	0.146903	0.148551	0.158318	0.160191	0.0237239	0.0525356	0.0882109	0.159986	0.153247	0.16024	0.0971426	0.129014	0.111001	0.138431	0.150412	0.116843	0.0906191	0.0824387	0.0889239	0.0773227	0.120499	0.120493	0.118724	0.0014727	0.125071	0.122299	0.149268	0.149026	0.143748	0.144654	0.145319	0.139779
41	576	550	13116	4.14015	1.04727	0.954861	146	5	352	5	22.7708	23.8473	0.126304	0.204655	0.147436	0.187027	0.172622	0.207341	0.231959	0.221166	0.204807	0.121319	0.153015	0.14953	0.221403	0.221272	0.212215	0.214121	0.233206	0.229121	0.0589866	0.142071	0.17012	0.220967	0.219356	0.224093	0.181054	0.207065	0.192605	0.204045	0.178898	0.161277	0.150621	0.118964	0.0613145	0.176324	0.132888	0.132969	0.0617258	0.00801377	0.190893	0.204552	0.214484	0.208739	0.225518	0.227492	0.195041	0.175584
42	42382	8738	678297	0.183158	4.85031	0.206172	433	5	4152	5	16.0044	77.6261	0.0282558	0.0394753	0.0215119	0.0403152	0.00733859	0.0303643	0.0604225	0.0605747	0.0450549	0.0453477	0.047422	0.0474515	0.0525044	0.0525622	0.0502244	0.050877	0.0532396	0.054359	0.00966579	0.0228811	0.0269067	0.0477484	0.0584455	0.0590487	0.0403646	0.044797	0.0426222	0.0466805	0.0395031	0.0319269	0.0362897	0.0326016	0.0263843	0.026368	0.0148549	0.01486	0.0147783	0.000370136	0.0389339	0.0425877	0.0472437	0.0501268	0.042879	0.0429341	0.0544853	0.0532217
43	73064	7711	870531	0.154515	9.4753	0.105538	970	5	4411	5	11.9146	112.895	0.0163394	0.022062	0.012467	0.0164554	0.00684696	0.0128448	0.0381195	0.0377048	0.0247012	0.0248418	0.0300785	0.0308736	0.0350699	0.0350587	0.0324345	0.033234	0.0329961	0.0342797	0.00459418	0.0117309	0.0163052	0.026852	0.0358565	0.0369055	0.018647	0.0290751	0.0233706	0.0291951	0.0197021	0.0152363	0.020748	0.0175809	0.0137205	0.0143449	0.0100882	0.0100882	0.0100618	0.000298934	0.0265957	0.0258646	0.0269264	0.0291633	0.0324353	0.0323454	0.0285401	0.0279115
44	43536	8655	714773	0.189694	5.03016	0.198801	419	5	3790	5	16.418	82.585	0.0294629	0.0391072	0.0232392	0.0393385	0.00782588	0.0354852	0.0593867	0.0596662	0.0468933	0.0467576	0.0488909	0.0483983	0.0534273	0.0534992	0.0510757	0.0517139	0.0528448	0.0540436	0.0109888	0.0246055	0.028644	0.0488386	0.0578813	0.0585672	0.0391422	0.0432931	0.041465	0.0449402	0.0432274	0.0339603	0.0392048	0.0370296	0.0270244	0.028927	0.0132253	0.0132253	0.0132313	0.000399369	0.0370625	0.0411522	0.0496853	0.0507487	0.040226	0.0399381	0.0532821	0.052168
45	57728	10291	890388	0.149877	5.60956	0.178267	417	5	4686	5	15.4238	86.521	0.0294082	0.0384572	0.0219904	0.0344357	0.00675641	0.0295819	0.0588674	0.0588659	0.0427973	0.0431045	0.0468894	0.0471402	0.0504755	0.0505227	0.0478727	0.0486564	0.0511894	0.0519693	0.00938192	0.0223377	0.0273515	0.0491803	0.0566665	0.0575296	0.0387976	0.0432485	0.0412066	0.0447471	0.0396971	0.0331437	0.036429	0.0345765	0.022448	0.0268153	0.0137419	0.0137395	0.0135773	0.000314196	0.0384726	0.0412505	0.045123	0.0483853	0.0397199	0.0394857	0.0516762	0.0503228
46	32987	7604	459769	0.183297	4.33811	0.230515	396	5	3309	5	13.9379	60.4641	0.0267403	0.0406756	0.018519	0.043945	0.00395632	0.0342376	0.0580854	0.0578678	0.0460778	0.0463537	0.0481709	0.0493801	0.0513541	0.0513954	0.0483963	0.0495667	0.0497757	0.0509958	0.0128851	0.0270547	0.024798	0.0497895	0.0580702	0.0581086	0.0379442	0.0418737	0.0398516	0.0439363	0.0448983	0.0378261	0.0378352	0.0370673	0.0278148	0.0271182	0.013132	0.0131051	0.0131028	0.000369005	0.0339019	0.0394974	0.0448975	0.0481382	0.0443532	0.0439451	0.0516057	0.0493751
47	44081	8254	606353	0.166652	5.34056	0.187246	381	5	3023	5	13.7554	73.4617	0.0309813	0.0438309	0.0202853	0.0400302	0.00242912	0.0389999	0.062487	0.0629024	0.0513548	0.0514505	0.0519757	0.052568	0.0555713	0.0556182	0.0526496	0.0537874	0.0543862	0.0553875	0.0131884	0.0265271	0.0273478	0.0519245	0.0620139	0.062162	0.0307622	0.0459445	0.0424207	0.0479444	0.0465648	0.0368373	0.0425031	0.041645	0.0307596	0.0305117	0.0109223	0.010922	0.0108636	0.000333843	0.0411159	0.0449943	0.0505561	0.0534362	0.0404897	0.0402876	0.0577442	0.0564099
48	1090	3646	52551	1.32232	0.298958	3.34495	899	5	177	5	48.2119	14.4133	0.0414084	0.0857027	0.0643381	0.0646951	0.0435723	0.0791994	0.111439	0.110196	0.0963178	0.0867519	0.0833152	0.0815231	0.0801238	0.0843524	0.0754739	0.0779327	0.0969268	0.0972137	0.0255496	0.0754573	0.0601436	0.109476	0.103164	0.104922	0.059015	0.0862534	0.0705463	0.0879235	0.0766035	0.0546361	0.0849256	0.0781436	0.037963	0.0638566	0.0354964	0.0355146	0.034851	0.00222485	0.0692116	0.0818416	0.0975502	0.0994629	0.108204	0.108479	0.0907788	0.0837472
49	4096	136	97879	17.5708	30.1176	0.0332031	130	5	4094	163	23.8962	719.699	0.148632	0.22573	0.175906	0.324148	0.0428053	0.160538	0.356118	0.360111	0.306914	0.338815	0.271463	0.244653	0.284052	0.280216	0.25154	0.251653	0.325497	0.293726	0.0761379	0.0705534	0.15139	0.257858	0.326918	0.340046	0.268441	0.336919	0.254116	0.343024	0.249927	0.249927	0.130798	0.0694691	0.117568	0.12957	0.315516	0.315436	0.0737714	0.0572894	0.312078	0.323893	0.338685	0.336023	0.313883	0.315439	0.331876	0.337075
50	5199	8640	751531	1.67307	0.601736	1.66186	636	50	1424	10	144.553	86.9828	0.208992	0.281937	0.373272	0.354657	0.0366151	0.19397	0.585922	0.578461	0.384977	0.30678	0.217868	0.221785	0.359725	0.31365	0.30818	0.280427	0.482273	0.452664	0.0938336	0.201719	0.239979	0.329855	0.509295	0.513937	0.259762	0.301373	0.249619	0.254339	0.547323	0.585789	0.385786	0.467562	0.195884	0.209172	0.0675389	0.0675888	0.0676006	0.00350388	0.369736	0.410754	0.334318	0.38283	0.322486	0.325872	0.343019	0.321034
51	854	8870	450123	5.94223	0.0962796	10.3864	4085	22	730	5	527.076	50.7467	0.250953	0.368992	0.481764	0.49818	0.151768	0.448132	0.559996	0.5865	0.517836	0.385871	0.234611	0.218658	0.458431	0.452112	0.431862	0.402543	0.537204	0.541383	0.112272	0.193379	0.30233	0.455327	0.436741	0.514482	0.367337	0.464457	0.430297	0.451947	0.454649	0.324532	0.51184	0.483298	0.259509	0.240971	0.421822	0.421937	0.418184	0.0136306	0.535143	0.546441	0.516527	0.521383	0.488856	0.493695	0.478934	0.502941
52	763	2628	39652	1.97749	0.290335	3.4443	595	5	243	5	51.9685	15.0883	0.0340705	0.0582196	0.062308	0.113664	0.0974456	0.0783879	0.0983602	0.104027	0.0734595	0.0933261	0.0287212	0.0432746	0.088235	0.0862119	0.0846891	0.0817325	0.0879851	0.0890386	0.0136728	0.0368922	0.0457787	0.078595	0.0760588	0.0845324	0.0633391	0.0581666	0.0650875	0.0658377	0.0263903	0.0175256	0.0703729	0.0402223	0.0306362	0.0531474	0.0986667	0.0986003	0.0922395	0.00450013	0.0625239	0.0634739	0.104676	0.102108	0.0999059	0.0994138	0.104567	0.107245
53	2238	301	15798	2.34518	7.43522	0.134495	26	5	427	5	7.05898	52.485	0.0197557	0.0288665	0.0200757	0.0303464	0.0231858	0.0300891	0.0439734	0.0436148	0.0254717	0.0296639	0.029667	0.0275072	0.0450446	0.0450446	0.0433387	0.0441769	0.0427813	0.0440433	0.0102566	0.0223742	0.0295774	0.039131	0.0352211	0.0409208	0.0323516	0.0372566	0.0339576	0.0342495	0.00550302	0.00978054	0.025289	0.0136507	0.0111444	0.0251063	0.0267719	0.0267668	0.0132015	0.00452252	0.0262293	0.0292767	0.0400743	0.042028	0.035023	0.0356514	0.0397011	0.0391699
54	943	1349	99287	7.80493	0.699036	1.43054	648	19	583	5	105.288	73.6004	0.199998	0.298676	0.308721	0.347268	0.209081	0.344699	0.394198	0.410194	0.375062	0.232546	0.206293	0.225107	0.3224	0.329759	0.319476	0.317888	0.358944	0.361603	0.138999	0.19896	0.233307	0.383979	0.350492	0.370584	0.30712	0.367169	0.316256	0.373035	0.285417	0.193164	0.350811	0.304863	0.202544	0.245232	0.20482	0.204762	0.194457	0.0173516	0.397224	0.396603	0.376861	0.372261	0.381152	0.381301	0.368923	0.366647
55	6040	3416	999611	4.8448	1.76815	0.565563	2277	18	3428	5	165.499	292.626	0.210107	0.279203	0.348359	0.36923	0.0778924	0.31524	0.380697	0.400748	0.365562	0.333262	0.244472	0.233552	0.293058	0.30128	0.30948	0.29674	0.348376	0.353944	0.101633	0.197041	0.245127	0.356715	0.350752	0.359136	0.290916	0.333793	0.287823	0.31452	0.383916	0.334946	0.358043	0.327247	0.197303	0.225081	0.195621	0.195639	0.195204	0.0107178	0.385531	0.394256	0.347175	0.349405	0.35998	0.361518	0.35267	0.36221
56	610	3650	90274	4.05453	0.167123	5.98361	2132	12	329	5	147.99	24.7326	0.150179	0.237433	0.22225	0.2458	0.168181	0.234389	0.342147	0.343565	0.29281	0.169935	0.189723	0.208311	0.24887	0.241529	0.248011	0.235072	0.307548	0.304359	0.0853321	0.181838	0.183329	0.294062	0.298383	0.301583	0.24184	0.269327	0.245687	0.271335	0.222902	0.177953	0.263767	0.243307	0.163048	0.199463	0.17676	0.176886	0.172616	0.00938308	0.285764	0.301734	0.294556	0.301231	0.286636	0.283107	0.290018	0.277122
57	23421	11888	802784	0.288326	1.97014	0.507579	2389	5	2629	5	34.2762	67.5289	0.0394855	0.057518	0.0548641	0.0803191	0.0116835	0.0514161	0.0963204	0.0974952	0.0801344	0.079082	0.0696346	0.0674016	0.0792874	0.0793796	0.0770791	0.0761329	0.0862597	0.0859903	0.010876	0.0378832	0.0442453	0.0741607	0.0901485	0.0942547	0.0424695	0.065235	0.0606438	0.0692716	0.0842339	0.0666138	0.0692248	0.0619171	0.0358819	0.0423135	0.0243115	0.0243049	0.0242307	0.000583902	0.0630632	0.068658	0.0810293	0.0837651	0.0646674	0.064707	0.0842437	0.0838641
58	9983	7814	545591	0.699411	1.27758	0.782731	663	5	3846	5	54.652	69.8222	0.0502406	0.0771088	0.0910882	0.134086	0.038718	0.0958179	0.148142	0.150059	0.110991	0.128327	0.0990202	0.09074	0.12655	0.126479	0.123253	0.124223	0.138935	0.139493	0.0119065	0.0370558	0.0584484	0.114395	0.133326	0.13407	0.0920968	0.103887	0.0967918	0.109585	0.126737	0.103818	0.076643	0.0693216	0.0506572	0.0376079	0.0898701	0.0898688	0.089589	0.00151555	0.0992722	0.102994	0.125898	0.122786	0.113654	0.114086	0.126233	0.123022
59	1819	14868	984499	3.64024	0.122343	8.17372	7025	15	1541	5	541.231	66.216	0.244513	0.380344	0.5058	0.518987	0.113524	0.46467	0.557217	0.589967	0.529937	0.434547	0.275512	0.251868	0.458705	0.454049	0.432505	0.397507	0.53289	0.538843	0.0567048	0.133149	0.324433	0.495155	0.510786	0.539427	0.375659	0.485329	0.370346	0.418419	0.520003	0.448243	0.539526	0.541287	0.199912	0.208996	0.422386	0.422329	0.420942	0.00812731	0.557404	0.56724	0.51403	0.522414	0.432054	0.436452	0.47422	0.499456
60	24523	4305	291882	0.276478	5.6964	0.175549	810	5	3746	5	11.9024	67.8007	0.0187567	0.0290088	0.0128466	0.0307367	0.0151188	0.0210819	0.0451355	0.0448979	0.0242051	0.0238809	0.0330856	0.0314645	0.0373191	0.0373394	0.0356462	0.0356314	0.0399637	0.0408562	0.00747999	0.0125629	0.0191361	0.0339393	0.0451874	0.0453625	0.0292777	0.0339911	0.0294218	0.0337496	0.0180071	0.0128966	0.0209748	0.018333	0.0178542	0.0188559	0.0237039	0.0237039	0.0234257	0.000552936	0.0265397	0.0287701	0.0353115	0.037449	0.0376369	0.0376235	0.0392301	0.0384285
61	4911	3166	42380	0.272571	1.55117	0.644675	359	5	152	5	8.62961	13.386	0.00190887	0.00292951	0.0026742	0.00473896	0.00454146	0.00359927	0.0056088	0.00581365	0.00478035	0.0043063	0.00566926	0.00488376	0.00196713	0.0019729	0.00129026	0.0013828	0.00152137	0.0016	0.00124142	0.00198893	0.00306269	0.0054109	0.00528649	0.00523593	0.00322228	0.00400087	0.00365752	0.00420009	0.00398912	0.0028004	0.00353737	0.0029628	0.00148258	0.00221403	0.00474149	0.00474164	0.00459571	0.000638148	0.0029589	0.00309255	0.0046267	0.0045915	0.00405828	0.00436506	0.00623095	0.00623095
62	22178	17803	240938	0.0610225	1.24575	0.802732	2767	5	300	5	10.8638	13.5336	0.0183751	0.0392613	0.0303002	0.0112782	0.000619342	0.0149193	0.0587491	0.0572448	0.0173992	0.0231233	0.0249787	0.0349529	0.0439668	0.0439675	0.0407924	0.0409119	0.0470816	0.0475041	0.0200316	0.0403821	0.0202054	0.0440296	0.0598858	0.0604078	0.0270139	0.0416748	0.0254327	0.0449988	0.0269858	0.0411685	0.00929761	0.016218	0.02752	0.0304889	0.00222788	0.00221445	0.00223076	0.000121329	0.0332957	0.0404346	0.0111186	0.0185332	0.0411587	0.0412911	0.055504	0.0553778
63	25587	15254	546349	0.13998	1.6774	0.596162	1214	5	8026	5	21.3526	35.8168	0.0512971	0.0717887	0.0422173	0.0839047	0.0349543	0.0532204	0.106953	0.102019	0.0522638	0.0543544	0.0715407	0.0749972	0.0839956	0.0847552	0.0779809	0.0790649	0.085168	0.0874204	0.016169	0.0340708	0.052769	0.0866595	0.102638	0.1036	0.071061	0.0882551	0.0641222	0.0929461	0.0660684	0.0490295	0.0356673	0.0315335	0.0477201	0.0412769	0.0511001	0.0511049	0.0507838	0.00025241	0.0697536	0.0855036	0.0740004	0.0760434	0.0702254	0.0704786	0.0909787	0.0856463
64	34151	23098	470966	0.0597051	1.47853	0.676349	3544	5	2544	5	13.7907	20.3899	0.0050267	0.00689372	0.00435441	0.0118653	0.00466606	0.00825211	0.0145938	0.0145604	0.00723744	0.00714312	0.0118531	0.0119019	0.00240488	0.00244009	0.00192736	0.00194416	0.00427877	0.00453527	0.00186512	0.00392609	0.00522845	0.01048	0.0133352	0.012819	0.00443049	0.00854263	0.00466176	0.00956531	0.00763227	0.00668256	0.00586613	0.0060982	0.00457325	0.00419425	0.00802544	0.00802506	0.00804266	0.000106855	0.00612387	0.00747701	0.00994953	0.0104901	0.010813	0.0108039	0.0134831	0.0131389
65	1761	443	10730	1.37542	3.97517	0.251562	10	5	565	5	6.09313	24.2212	0.0142072	0.0274725	0.0171247	0.0437388	0.0351263	0.0326034	0.0448288	0.0455756	0.0109214	0.0239409	0.0219863	0.0128468	0.0410714	0.0410714	0.0402035	0.0411821	0.0352774	0.0380195	0.00402193	0.00753989	0.0230629	0.038927	0.0388351	0.0406898	0.0357096	0.0427217	0.037948	0.0425714	0.00521881	0.00481841	0.00841689	0.00656224	0.00732906	0.0252607	0.0434255	0.043368	0.0166463	0.00323322	0.0264924	0.0276451	0.0406362	0.0415018	0.034053	0.0346268	0.0452739	0.0453073
66	26039	15483	709356	0.175948	1.68178	0.594608	1009	5	5427	5	27.2421	45.8152	0.0133411	0.0157971	0.0198633	0.0349343	0.0211078	0.0207722	0.0604303	0.0594433	0.0330678	0.0324234	0.0283614	0.0295545	0.0487966	0.0484915	0.048053	0.0472394	0.0558138	0.0548815	0.00250901	0.00984339	0.0135412	0.0237313	0.0502257	0.0502102	0.0231633	0.0267566	0.0247348	0.0280474	0.0408577	0.0415404	0.0279288	0.0298165	0.00938356	0.00888409	0.0252552	0.0252552	0.0252894	0.000340091	0.0252887	0.0282925	0.0413512	0.0444375	0.0276577	0.0275441	0.0432398	0.0415162
67	2067	967	11267	0.563691	2.13754	0.467828	16	5	49	5	5.4509	11.6515	0.00249471	0.0033191	0.00310724	0.00326259	0.00409612	0.00445654	0.00314763	0.00307792	0.00380732	0.00335932	0.00356932	0.00331713	0.00244943	0.00244943	0.00227224	0.00242735	0.00233545	0.00244682	0.00187294	0.00248894	0.00325573	0.00357371	0.00290758	0.00282977	0.0027044	0.00359952	0.00290344	0.00303341	0.00290257	0.00225162	0.00335472	0.00293187	0.0017594	0.00263198	0.00327525	0.00325097	0.00282818	0.0011872	0.00289528	0.00319316	0.00387818	0.00333213	0.00276653	0.00280824	0.00376577	0.00376577
68	241	1594	20539	5.34655	0.151192	6.61411	702	5	77	5	85.2241	12.8852	0.154686	0.214948	0.155569	0.170222	0.107727	0.163909	0.288211	0.278187	0.236917	0.101574	0.201258	0.215974	0.186613	0.184986	0.20381	0.193433	0.257397	0.247999	0.0858941	0.20271	0.207566	0.240071	0.257599	0.254053	0.193813	0.222113	0.218006	0.233604	0.246308	0.249519	0.179478	0.143203	0.0806819	0.189839	0.101043	0.101212	0.0872542	0.0119667	0.22814	0.235258	0.24452	0.2575	0.242514	0.243504	0.215604	0.215019
69	7620	3783	207771	0.720765	2.01427	0.496457	1450	5	4294	5	27.2665	54.9223	0.102676	0.151472	0.100294	0.161075	0.0770982	0.11785	0.196358	0.19171	0.140464	0.166256	0.141509	0.145426	0.157312	0.157355	0.151219	0.15688	0.169631	0.165882	0.0394624	0.0626521	0.113387	0.167898	0.185506	0.187682	0.149444	0.163245	0.105205	0.161159	0.163634	0.107847	0.0859179	0.0729069	0.106422	0.114917	0.109098	0.109098	0.102382	0.00150601	0.150462	0.166228	0.154517	0.154604	0.132174	0.132613	0.155489	0.151581
70	15400	1000	365704	2.3747	15.4	0.0649351	648	10	5587	66	23.747	365.704	0.0608702	0.0798995	0.0355876	0.0907938	0.017825	0.0742629	0.13257	0.132884	0.0830706	0.0965525	0.0862741	0.0849347	0.113799	0.113806	0.111997	0.111728	0.121874	0.123121	0.0265694	0.0336919	0.0656861	0.095738	0.104769	0.112244	0.103487	0.112768	0.108258	0.112518	0.0756533	0.0392786	0.0550422	0.0495151	0.0561269	0.0606903	0.0733293	0.073331	0.0730305	0.00495795	0.108589	0.10539	0.111246	0.109979	0.120365	0.120481	0.113142	0.112259
71	7597	3675	197095	0.705954	2.06721	0.483744	1440	5	4225	5	25.9438	53.6313	0.101394	0.148736	0.0967257	0.156805	0.0798105	0.114346	0.189231	0.18526	0.135211	0.159434	0.137827	0.14321	0.151992	0.152033	0.146399	0.151407	0.164257	0.160951	0.0384994	0.0609926	0.112045	0.1617	0.180267	0.182811	0.146154	0.159416	0.1203	0.15708	0.156271	0.100462	0.0756558	0.0699198	0.0985953	0.110868	0.108519	0.108519	0.0973964	0.00148126	0.146645	0.161168	0.149992	0.15161	0.130265	0.129885	0.151625	0.148157