Datasets:

Zeyu-Zhang
/

TSP_EXECUTION_RUNS

instance stringlengths 2 36	split stringclasses 1 value	family stringclasses 4 values	n int64 11 5k	angle_initialization_costs float64 0 0.85	angles_mean float64 1.14 1.69	angles_sd float64 0.71 1.27	angles_var float64 0.51 1.62	angles_median float64 0.8 1.77	angles_varcoeff float64 0.53 0.86	angles_min float64 0 0.14	angles_max float64 2.28 3.14	angles_span float64 2.14 3.14	angles_skew float64 -0.13 0.52	angle_costs float64 0 0.18	angles_cos_mean float64 -0.09 0.32	angles_cos_sd float64 0.57 0.86	angles_cos_var float64 0.33 0.75	angles_cos_median float64 -0.2 0.69	angles_cos_varcoeff float64 -6,888,419.8 69.1k	angles_cos_min float64 -1 -0.65	angles_cos_max float64 0.99 1	angles_cos_span float64 1.64 2	angles_cos_skew float64 -0.63 0.16	angle_cos_costs float64 0 0.03	fraction_of_nodes_outside_near_bounding_box_0.1 float64 0 1	bounding_box_0.1_costs float64 0 0	fraction_of_nodes_outside_near_bounding_box_0.2 float64 0.01 1	bounding_box_0.2_costs float64 0 0	fraction_of_nodes_outside_near_bounding_box_0.3 float64 0.03 1	bounding_box_0.3_costs float64 0 0	centroid_x float64 0.09 0.75	centroid_y float64 0.1 0.76	centroid_mean float64 0.04 0.6	centroid_sd float64 0.02 0.23	centroid_var float64 0 0.05	centroid_median float64 0.02 0.6	centroid_varcoeff float64 0.04 1.82	centroid_min float64 0 0.48	centroid_max float64 0.51 0.95	centroid_span float64 0.1 0.95	centroid_skew float64 -1.43 10.9	centroid_costs float64 0 0.05	cluster_01pct_n_clusters int64 0 94	cluster_01pct_mean_distance float64 0 0.4 ⌀	cluster_0.01_costs float64 0.01 3.88	cluster_05pct_n_clusters int64 0 15	cluster_05pct_mean_distance float64 0.01 0.4 ⌀	cluster_0.05_costs float64 0 2.98	cluster_10pct_n_clusters int64 0 9	cluster_10pct_mean_distance float64 0.02 0.4 ⌀	cluster_0.1_costs float64 0 3.06	hull_initialization_costs float64 0 0.01	hull_points_ratio float64 0 0.36	hull_points_costs float64 0 0	hull_area float64 0.12 1	hull_area_costs float64 0 0.01	hull_edges_mean float64 0.11 0.78	hull_edges_sd float64 0.08 0.46	hull_edges_var float64 0.01 0.21	hull_edges_median float64 0 0.96	hull_edges_varcoeff float64 0.16 2.45	hull_edges_min float64 0 0.48	hull_edges_max float64 0.33 1.23	hull_edges_span float64 0.22 1.21	hull_edges_skew float64 -1.17 3	hull_edges_costs float64 0 0.01	hull_dists_mean float64 0.02 0.35	hull_dists_sd float64 0.01 0.15	hull_dists_var float64 0 0.02	hull_dists_median float64 0.02 0.36	hull_dists_varcoeff float64 0.16 1.38	hull_dists_max float64 0.06 0.5	hull_dists_span float64 0.06 0.5	hull_dists_skew float64 -2.57 2.38	hull_dists_point_ratio float64 0 0.36	hull_dists_costs float64 0 0.45	fraction_shorter_mean_distance float64 0.3 0.78	fraction_of_distinct_distances float64 0.8 1	mode_frequency int64 1 5.58k	mode_quantity int64 1 1.12M	mode_mean float64 0 1.13	mean_tour_length float64 5.33 1.6k	sum_of_lowest_edge_values float64 0 24.9	distance_mean float64 0.06 0.63	distance_sd float64 0.05 0.57	distance_var float64 0 0.32	distance_median float64 0.04 1.05	distance_varcoeff float64 0.47 1.55	distance_min float64 0 0.05	distance_max float64 1 1.41	distance_span float64 0.99 1.41	distance_skew float64 -0.58 8.5	distance_costs float64 0 39.9	modes_number int64 1 14	modes_costs float64 0 2.41	mst_depth_mean float64 2.45 121	mst_depth_sd float64 1.44 177	mst_depth_var float64 2.07 31.2k	mst_depth_median float64 2 23	mst_depth_varcoeff float64 0.59 1.96	mst_depth_min int64 1 1	mst_depth_max int64 5 638	mst_depth_span int64 4 637	mst_depth_skew float64 0.35 2.66	mst_dists_mean float64 0 0.23	mst_dists_sd float64 0 0.19	mst_dists_var float64 0 0.04	mst_dists_median float64 0 0.16	mst_dists_varcoeff float64 0.42 7.19	mst_dists_min float64 0 0.05	mst_dists_max float64 0.03 0.97	mst_dists_span float64 0.03 0.97	mst_dists_skew float64 0.03 50.9	mst_dists_sum float64 0 0.04	mst_costs float64 0 2.15	nearest_neighbour_mean float64 0 0.2	nearest_neighbour_sd float64 0 0.19	nearest_neighbour_var float64 0 0.04	nearest_neighbour_median float64 0 0.14	nearest_neighbour_varcoeff float64 0.47 8.81	nearest_neighbour_min float64 0 0.05	nearest_neighbour_max float64 0.02 0.89	nearest_neighbour_span float64 0.02 0.89	nearest_neighbour_skew float64 0.39 61.4	nearest_neighbor_costs float64 0 0.14	nng_3_n_weak int64 1 96	nng_3_n_strong int64 3 1.24k	nng_3_strong_weak_ratio float64 3 238	nng_3_weak_components_mean float64 11 2k	nng_3_weak_components_sd float64 0 1.41k ⌀	nng_3_weak_components_var float64 0 1.98M ⌀	nng_3_weak_components_median float64 4 2k	nng_3_weak_components_varcoeff float64 0 6.32 ⌀	nng_3_weak_components_min int64 4 2k	nng_3_weak_components_max int64 11 4.58k	nng_3_weak_components_span int64 0 4.58k	nng_3_weak_components_skew float64 -2.46 9.41 ⌀	nng_3_strong_components_mean float64 2.55 13.7	nng_3_strong_components_sd float64 1.75 54.6	nng_3_strong_components_var float64 3.06 2.98k	nng_3_strong_components_median float64 1 6	nng_3_strong_components_varcoeff float64 0.55 4.07	nng_3_strong_components_min int64 1 1	nng_3_strong_components_max int64 5 534	nng_3_strong_components_span int64 4 533	nng_3_strong_components_skew float64 0.01 25.8	nng_5_n_weak int64 1 15	nng_5_n_strong int64 1 579	nng_5_strong_weak_ratio float64 1 422	nng_5_weak_components_mean float64 11 5k	nng_5_weak_components_sd float64 0 3.52k ⌀	nng_5_weak_components_var float64 0 12.4M ⌀	nng_5_weak_components_median float64 7 5k	nng_5_weak_components_varcoeff float64 0 3.46 ⌀	nng_5_weak_components_min int64 6 5k	nng_5_weak_components_max int64 11 5k	nng_5_weak_components_span int64 0 4.98k	nng_5_weak_components_skew float64 -2.46 3.13 ⌀	nng_5_strong_components_mean float64 3.67 2k	nng_5_strong_components_sd float64 0 1.41k ⌀	nng_5_strong_components_var float64 0 2M ⌀	nng_5_strong_components_median float64 1 2k	nng_5_strong_components_varcoeff float64 0 10.9 ⌀	nng_5_strong_components_min int64 1 2k	nng_5_strong_components_max int64 9 3.85k	nng_5_strong_components_span int64 0 3.85k	nng_5_strong_components_skew float64 -2.46 22.9 ⌀	nng_7_n_weak int64 1 10	nng_7_n_strong int64 1 386	nng_7_strong_weak_ratio float64 1 259	nng_7_weak_components_mean float64 11 5k	nng_7_weak_components_sd float64 0 3.35k ⌀	nng_7_weak_components_var float64 0 11.2M ⌀	nng_7_weak_components_median float64 10 5k	nng_7_weak_components_varcoeff float64 0 2.17 ⌀	nng_7_weak_components_min int64 8 5k	nng_7_weak_components_max int64 11 5k	nng_7_weak_components_span int64 0 4.87k	nng_7_weak_components_skew float64 -1.34 2.07 ⌀	nng_7_strong_components_mean float64 5.5 2k	nng_7_strong_components_sd float64 0 1.41k ⌀	nng_7_strong_components_var float64 0 2M ⌀	nng_7_strong_components_median float64 1 2k	nng_7_strong_components_varcoeff float64 0 11.2 ⌀	nng_7_strong_components_min int64 1 2k	nng_7_strong_components_max int64 10 4.75k	nng_7_strong_components_span int64 0 4.75k	nng_7_strong_components_skew float64 -2.47 19.1 ⌀	nng_costs float64 0.03 0.39
1000---1000-10-1.tsp---1000-819.tsp	train	NETGENM	1,000	0.005	1.505767	0.898918	0.808054	1.516406	0.596983	0.007122	3.140503	3.133381	0.085825	0.001	0.050238	0.704317	0.496062	0.054363	14.019527	-0.999999	0.999975	1.999974	-0.082101	0	0.358	0.001	0.658	0	0.836	0	0.485797	0.503748	0.376819	0.132033	0.017433	0.399474	0.350388	0.027971	0.661597	0.633625	-0.559772	0	10	0.076389	0.108	5	0.156276	0.101	1	0.376819	0.094	0	0.02	0	0.78754	0.001	0.168579	0.184848	0.034169	0.086829	1.096511	0.013978	0.719705	0.705727	1.479695	0	0.125171	0.10238	0.010482	0.098117	0.817919	0.413486	0.413486	0.944895	0.02	0.069	0.5041	0.999996	2	2	0.517598	507.996323	10.445763	0.507996	0.247133	0.061075	0.505011	0.486485	0.000553	1.186473	1.18592	0.017841	0.698	5	0.081	22.154	35.052089	1,228.648933	5	1.582201	1	136	135	1.841652	0.013666	0.010699	0.000114	0.012495	0.782865	0.000553	0.152868	0.152315	6.290557	0.000027	0.238	0.00988	0.005512	0.00003	0.009041	0.557887	0.000553	0.038253	0.037699	1.021816	0.001	12	145	12.083333	83.333333	36.214847	1,311.515152	100	0.434578	4	100	96	-1.556456	6.896552	7.434645	55.273946	4	1.078024	1	57	56	2.999991	10	19	1.9	100	0	0	100	0	100	100	0	null	52.631579	45.177687	2,041.023392	76	0.858376	1	100	99	-0.089253	10	11	1.1	100	0	0	100	0	100	100	0	null	90.909091	29.170034	850.890909	100	0.32087	3	100	97	-2.462678	0.039
1000---1000-10-10.tsp---1000-440.tsp	train	NETGENM	1,000	0.005	1.523758	0.91478	0.836822	1.489416	0.600345	0.001071	3.138588	3.137517	0.069016	0.001	0.036957	0.71325	0.508726	0.081291	19.299367	-0.999995	0.999999	1.999995	-0.072168	0	0.366	0	0.675	0	0.838	0	0.486313	0.469484	0.379088	0.136577	0.018653	0.418742	0.360277	0.052334	0.638904	0.586571	-0.619957	0.001	10	0.083036	0.106	5	0.147637	0.104	3	0.198008	0.093	0	0.019	0	0.844873	0.001	0.181588	0.160528	0.025769	0.120031	0.884022	0.018726	0.483375	0.464649	0.751426	0	0.139239	0.114604	0.013134	0.103334	0.823075	0.44372	0.44372	0.846747	0.019	0.076	0.495161	1	1	499,500	0.512503	512.503236	10.289514	0.512503	0.249702	0.062351	0.515892	0.48722	0.000461	1.209708	1.209247	0.009798	0.696	4	0.076	15.745	24.020636	576.990966	5	1.525604	1	103	102	2.027902	0.013671	0.011917	0.000142	0.012483	0.871731	0.000461	0.18976	0.189299	8.341963	0.000027	0.061	0.009882	0.005516	0.00003	0.009276	0.558152	0.000461	0.034634	0.034174	0.944021	0.001	14	118	8.428571	71.428571	38.765001	1,502.725275	100	0.54271	5	100	95	-0.706552	8.474576	10.562562	111.567724	5	1.246382	1	66	65	2.708569	10	20	2	100	42.363506	1,794.666667	100	0.423635	26	200	174	0.75919	50	55.308703	3,059.052632	20.5	1.106174	1	185	184	0.64332	9	10	1.111111	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	100	46.67619	2,178.666667	100	0.466762	2	200	198	0.057822	0.043
1000---1000-10-11.tsp---1000-564.tsp	train	NETGENM	1,000	0.005	1.518875	0.899685	0.809433	1.493215	0.592337	0.007882	3.13548	3.127598	0.089225	0.001	0.042474	0.702249	0.493154	0.077503	16.533516	-0.999981	0.999969	1.99995	-0.097882	0	0.381	0.001	0.595	0	0.817	0	0.495612	0.469421	0.374086	0.150585	0.022676	0.399348	0.402543	0.007401	0.656505	0.649104	-0.367879	0	10	0.076609	0.102	7	0.130284	0.098	1	0.374086	0.1	0	0.017	0	0.857785	0	0.209687	0.240378	0.057781	0.080623	1.146364	0.02711	0.728672	0.701563	1.112659	0.001	0.14804	0.119625	0.01431	0.10442	0.808057	0.457501	0.457501	0.62362	0.017	0.053	0.510272	0.999996	2	2	0.578776	512.511035	10.409442	0.512511	0.250688	0.062845	0.504917	0.489138	0.001007	1.259819	1.258812	0.146238	0.592	5	0.079	15.373	21.548276	464.328199	5	1.401696	1	91	90	1.83169	0.013673	0.011666	0.000136	0.012361	0.85316	0.001007	0.171101	0.170095	7.521806	0.000027	0.227	0.009828	0.005108	0.000026	0.008982	0.519721	0.001007	0.033053	0.032047	0.867451	0.001	14	142	10.142857	71.428571	41.252905	1,701.802198	100	0.577541	5	100	95	-0.789396	7.042254	8.799479	77.430826	5	1.249526	1	58	57	3.373167	10	14	1.4	100	0	0	100	0	100	100	0	null	71.428571	45.155653	2,039.032967	99.5	0.632179	1	100	99	-0.846766	10	10	1	100	0	0	100	0	100	100	0	null	100	0	0	100	0	100	100	0	null	0.042
1000---1000-10-12.tsp---1000-276.tsp	train	NETGENM	1,000	0.005	1.519135	0.953619	0.909389	1.520141	0.627738	0.001248	3.14051	3.139261	0.056535	0.001	0.037637	0.73604	0.541755	0.050632	19.556467	-0.999999	0.999999	1.999999	-0.063727	0	0.341	0.001	0.669	0	0.867	0	0.5065	0.505019	0.387397	0.130799	0.017108	0.414788	0.337635	0.050078	0.654638	0.604559	-0.502814	0	10	0.078264	0.108	7	0.100905	0.11	5	0.141169	0.108	0	0.017	0	0.832914	0.001	0.202963	0.188325	0.035466	0.132849	0.927879	0.009937	0.538643	0.528706	0.678406	0	0.131517	0.1062	0.011278	0.107654	0.807496	0.453522	0.453522	1.008388	0.017	0.06	0.489852	0.999998	2	1	0.644661	520.013202	9.917186	0.520013	0.253487	0.064256	0.527352	0.487462	0.000564	1.288444	1.287879	0.040076	0.663	3	0.086	14.765	22.331647	498.702477	5	1.512472	1	98	97	2.11007	0.013346	0.013039	0.00017	0.011951	0.976976	0.000564	0.185469	0.184904	8.869626	0.000026	0.25	0.00943	0.00539	0.000029	0.008409	0.571595	0.000564	0.041861	0.041297	1.212755	0.003	17	148	8.705882	58.823529	46.994993	2,208.529412	77	0.798915	4	136	132	-0.044372	6.756757	8.401993	70.593491	4	1.243495	1	57	56	3.274573	9	22	2.444444	111.111111	58.722748	3,448.361111	100	0.528505	7	200	193	0.144524	45.454545	54.348722	2,953.78355	8	1.195672	1	186	185	0.809291	8	11	1.375	125	46.291005	2,142.857143	100	0.370328	100	200	100	0.945108	90.909091	68.798916	4,733.290909	100	0.756788	1	200	199	0.123967	0.039
1000---1000-10-13.tsp---1000-946.tsp	train	NETGENM	1,000	0.005	1.481549	0.900085	0.810152	1.478394	0.607529	0.000389	3.135922	3.135533	0.132838	0.001	0.070537	0.704	0.495615	0.09227	9.980538	-0.999984	1	1.999984	-0.134933	0	0.346	0.001	0.688	0	0.801	0	0.487607	0.499751	0.376688	0.133385	0.017792	0.415163	0.3541	0.064525	0.622737	0.558212	-0.643921	0	10	0.072215	0.102	10	0.07233	0.103	1	0.376688	0.1	0.001	0.017	0	0.843312	0	0.200892	0.167471	0.028047	0.166381	0.83364	0.035605	0.625164	0.589559	1.099288	0.001	0.137604	0.119578	0.014299	0.098365	0.869002	0.442819	0.442819	0.930304	0.017	0.067	0.509606	0.999996	2	2	0.433939	510.591544	10.143759	0.510592	0.2428	0.058952	0.503412	0.475527	0.001231	1.22562	1.22439	0.052489	0.632	4	0.075	12.87	17.854128	318.76987	4	1.387267	1	81	80	1.945787	0.013661	0.013133	0.000172	0.0121	0.961317	0.001231	0.174969	0.173739	7.771336	0.000027	0.068	0.009894	0.005129	0.000026	0.009137	0.518424	0.001231	0.03349	0.032259	0.813687	0.001	11	149	13.545455	90.909091	24.776822	613.890909	100	0.272545	18	100	82	-2.280223	6.711409	7.423752	55.112099	4	1.106139	1	42	41	2.222025	10	25	2.5	100	0	0	100	0	100	100	0	null	40	45.872105	2,104.25	7	1.146803	1	100	99	0.399974	10	11	1.1	100	0	0	100	0	100	100	0	null	90.909091	29.820981	889.290909	100	0.328031	1	100	99	-2.466456	0.04
1000---1000-10-14.tsp---1000-326.tsp	train	NETGENM	1,000	0.005	1.551854	0.915736	0.838572	1.523481	0.590091	0.00732	3.132906	3.125586	0.037441	0.001	0.016102	0.711577	0.506341	0.047297	44.190819	-0.999962	0.999973	1.999935	-0.048308	0	0.419	0.001	0.699	0	0.891	0	0.500736	0.495165	0.388813	0.129913	0.016877	0.412565	0.334127	0.019862	0.621727	0.601865	-0.900602	0.001	10	0.077332	0.1	7	0.104408	0.097	3	0.242501	0.092	0.001	0.022	0	0.841784	0	0.15587	0.166021	0.027563	0.069167	1.065126	0.001924	0.583657	0.581733	1.123227	0	0.132183	0.115695	0.013385	0.093808	0.875266	0.469822	0.469822	1.1102	0.022	0.087	0.501389	1	1	499,500	0.523399	523.398911	9.979054	0.523399	0.249925	0.062463	0.522395	0.477504	0.000858	1.194756	1.193899	-0.032987	0.683	4	0.074	18.897	29.310433	859.101492	5	1.551063	1	120	119	1.970877	0.013428	0.01252	0.000157	0.011982	0.93241	0.000858	0.178754	0.177896	8.17358	0.000026	0.251	0.009529	0.005304	0.000028	0.008869	0.556588	0.000858	0.034953	0.034095	1.032896	0.001	21	146	6.952381	47.619048	43.557406	1,897.247619	43	0.914706	4	100	96	0.091726	6.849315	7.608836	57.894379	4	1.11089	1	46	45	2.428284	11	26	2.363636	90.909091	27.602371	761.890909	100	0.303626	8	100	92	-2.434389	38.461538	40.492202	1,639.618462	11.5	1.052797	1	100	99	0.497085	10	12	1.2	100	0	0	100	0	100	100	0	null	83.333333	36.943036	1,364.787879	100	0.443316	1	100	99	-1.559464	0.039
1000---1000-10-15.tsp---1000-520.tsp	train	NETGENM	1,000	0.005	1.558672	0.916583	0.840124	1.566301	0.588054	0.002116	3.141152	3.139037	0.00122	0.001	0.007736	0.717211	0.514392	0.004495	92.713761	-1	0.999998	1.999998	-0.00891	0	0.374	0	0.651	0	0.859	0	0.498663	0.508378	0.390591	0.142663	0.020353	0.414954	0.365249	0.05136	0.650794	0.599434	-0.345769	0.001	10	0.075778	0.102	6	0.126677	0.12	3	0.273327	0.106	0.001	0.019	0	0.882472	0	0.189406	0.213421	0.045548	0.093738	1.126792	0.025745	0.677496	0.651751	1.27477	0	0.140932	0.108944	0.011869	0.114968	0.773029	0.442759	0.442759	0.630838	0.019	0.072	0.501898	0.999998	2	1	0.323237	528.373473	10.480858	0.528373	0.258758	0.066956	0.526801	0.489726	0.000717	1.272867	1.272149	0.047627	0.606	3	0.071	12.781	17.219801	296.521561	5	1.347297	1	77	76	1.920987	0.013727	0.012935	0.000167	0.012574	0.942321	0.000717	0.218252	0.217535	9.194851	0.000026	0.064	0.009967	0.00545	0.00003	0.009219	0.546793	0.000717	0.041294	0.040577	1.042236	0.002	11	128	11.636364	90.909091	50.290068	2,529.090909	100	0.553191	6	194	188	-0.058027	7.8125	11.237416	126.279528	4	1.438389	1	63	62	2.684212	9	20	2.222222	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	50	48.408351	2,343.368421	49.5	0.968167	1	100	99	0.002322	9	12	1.333333	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	83.333333	36.923344	1,363.333333	100	0.44308	1	100	99	-1.562927	0.04
1000---1000-10-16.tsp---1000-824.tsp	train	NETGENM	1,000	0.006	1.513295	0.903381	0.816097	1.506633	0.596963	0.000349	3.140689	3.14034	0.086994	0.001	0.045553	0.702564	0.493597	0.064119	15.422991	-1	1	2	-0.083836	0	0.347	0.001	0.64	0	0.812	0	0.48779	0.51904	0.385932	0.143787	0.020675	0.395878	0.372569	0.074488	0.687389	0.612901	-0.187415	0.001	8	0.089919	0.101	6	0.1188	0.098	5	0.151012	0.111	0.001	0.021	0	0.866013	0	0.170707	0.228715	0.052311	0.071556	1.339811	0.003195	0.888039	0.884843	1.954321	0	0.141586	0.108284	0.011725	0.109913	0.764793	0.413021	0.413021	0.619621	0.021	0.072	0.507003	0.999996	2	2	0.614945	521.654847	10.442381	0.521655	0.259637	0.067411	0.516718	0.497718	0.000293	1.264444	1.264151	0.080596	0.642	4	0.077	17.889	26.28573	690.939619	5	1.46938	1	109	108	1.874564	0.013995	0.012807	0.000164	0.012678	0.915117	0.000293	0.191291	0.190998	9.191664	0.000027	0.23	0.01025	0.00562	0.000032	0.009205	0.548297	0.000293	0.034753	0.03446	0.952845	0.002	14	143	10.214286	71.428571	51.738565	2,676.879121	94.5	0.72434	4	172	168	-0.035927	6.993007	10.020048	100.401359	4	1.432867	1	71	70	3.418935	8	16	2	125	46.291005	2,142.857143	100	0.370328	100	200	100	0.945108	62.5	70.781353	5,010	49.5	1.132502	1	200	199	0.633199	8	9	1.125	125	46.291005	2,142.857143	100	0.370328	100	200	100	0.945108	111.111111	59.484125	3,538.361111	100	0.535357	3	200	197	0.069362	0.039
1000---1000-10-17.tsp---1000-461.tsp	train	NETGENM	1,000	0.005	1.501398	0.893006	0.79746	1.480073	0.594783	0.000479	3.140603	3.140124	0.057669	0.001	0.050599	0.699162	0.488828	0.090598	13.817772	-1	1	1.999999	-0.094821	0.001	0.263	0	0.555	0.001	0.839	0	0.489863	0.497524	0.374759	0.145538	0.021181	0.367416	0.388351	0.06893	0.68608	0.61715	0.015008	0	10	0.085397	0.103	7	0.110825	0.106	1	0.374759	0.09	0	0.022	0	0.806279	0	0.159138	0.214195	0.045879	0.066511	1.345971	0.016155	0.731383	0.715228	1.722928	0.001	0.138073	0.101779	0.010359	0.118964	0.737137	0.397824	0.397824	0.561321	0.022	0.083	0.508276	1	1	499,500	0.508101	508.10127	10.231882	0.508101	0.255667	0.065366	0.502073	0.503181	0.000503	1.305219	1.304716	0.175568	0.671	5	0.071	17.071	23.493785	551.957917	6	1.37624	1	94	93	1.677398	0.013352	0.010821	0.000117	0.012361	0.810493	0.000503	0.149955	0.149452	7.076201	0.000026	0.257	0.009862	0.005236	0.000027	0.009077	0.530927	0.000503	0.033025	0.032522	0.785968	0.002	16	158	9.875	62.5	53.870214	2,902	68	0.861923	4	200	196	0.775129	6.329114	7.045298	49.636217	4	1.113157	1	31	30	1.785827	10	12	1.2	100	44.394694	1,970.888889	100	0.443947	13	200	187	0.387785	83.333333	52.798646	2,787.69697	99.5	0.633584	1	200	199	0.27691	9	9	1	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	0.038
1000---1000-10-18.tsp---1000-625.tsp	train	NETGENM	1,000	0.006	1.546254	0.928237	0.861624	1.526161	0.600313	0.00072	3.139306	3.138587	0.051885	0	0.021081	0.722588	0.522133	0.044621	34.277073	-0.999997	1	1.999997	-0.054704	0.001	0.309	0	0.641	0	0.811	0	0.482971	0.485418	0.378584	0.155644	0.024225	0.380745	0.411122	0.006848	0.70978	0.702932	-0.385997	0	9	0.08216	0.099	6	0.111595	0.099	3	0.230911	0.1	0	0.02	0	0.866123	0.001	0.180566	0.208785	0.043591	0.058624	1.156277	0.002458	0.613286	0.610828	0.994641	0	0.150751	0.119514	0.014284	0.118983	0.79279	0.455198	0.455198	0.77778	0.02	0.068	0.504545	0.999998	2	1	0.547133	518.78448	10.307913	0.518784	0.257394	0.066252	0.515716	0.496149	0.000678	1.337221	1.336544	0.10272	0.799	3	0.084	13.635	19.222312	369.497272	5	1.409777	1	82	81	1.906141	0.013782	0.012895	0.000166	0.012332	0.935645	0.000678	0.255914	0.255236	10.430625	0.000027	0.395	0.009975	0.005329	0.000028	0.009146	0.534225	0.000678	0.032048	0.03137	0.777909	0.003	17	127	7.470588	58.823529	55.691376	3,101.529412	85	0.946753	4	191	187	0.528144	7.874016	12.464548	155.364954	4	1.582998	1	79	78	3.535524	8	18	2.25	125	46.291005	2,142.857143	100	0.370328	100	200	100	0.945108	55.555556	56.938793	3,242.026144	49	1.024898	1	194	193	0.60087	8	11	1.375	125	46.291005	2,142.857143	100	0.370328	100	200	100	0.945108	90.909091	53.010291	2,810.090909	100	0.583113	1	198	197	-0.119399	0.047
1000---1000-10-19.tsp---1000-833.tsp	train	NETGENM	1,000	0.005	1.456347	0.88862	0.789646	1.383927	0.61017	0.006764	3.137392	3.130629	0.172226	0	0.091211	0.699132	0.488786	0.185783	7.664998	-0.999991	0.999977	1.999968	-0.201155	0.001	0.373	0	0.62	0	0.855	0.001	0.509112	0.47727	0.384697	0.133107	0.017718	0.39668	0.346005	0.087491	0.662011	0.57452	-0.200487	0	10	0.078179	0.104	7	0.115617	0.099	1	0.384697	0.097	0	0.026	0.001	0.837774	0	0.135011	0.156023	0.024343	0.070054	1.155637	0.009047	0.574273	0.565225	1.542792	0	0.129181	0.099172	0.009835	0.103167	0.767701	0.400916	0.400916	0.671233	0.026	0.1	0.49421	0.999998	2	1	0.6342	517.893848	10.365753	0.517894	0.251993	0.063501	0.52214	0.486573	0.000835	1.298494	1.29766	0.076145	0.59	2	0.071	16.969	23.74076	563.623663	5	1.399067	1	100	99	1.78621	0.013802	0.011434	0.000131	0.012662	0.828415	0.000835	0.155356	0.154521	6.74422	0.000027	0.063	0.010048	0.005477	0.00003	0.009407	0.545142	0.000835	0.04799	0.047155	1.011867	0.002	16	150	9.375	62.5	43.104524	1,858	92.5	0.689672	4	100	96	-0.422827	6.666667	7.328044	53.700224	4.5	1.099207	1	49	48	2.596392	10	22	2.2	100	0	0	100	0	100	100	0	null	45.454545	45.504293	2,070.640693	16	1.001094	1	100	99	0.197997	10	11	1.1	100	0	0	100	0	100	100	0	null	90.909091	29.820981	889.290909	100	0.328031	1	100	99	-2.466456	0.041
1000---1000-10-2.tsp---1000-659.tsp	train	NETGENM	1,000	0.005	1.52476	0.91932	0.84515	1.463414	0.602928	0.002214	3.141181	3.138967	0.044607	0.001	0.033666	0.712455	0.507592	0.107176	21.16224	-1	0.999998	1.999997	-0.063534	0	0.421	0	0.758	0	0.892	0	0.511489	0.473409	0.396685	0.143055	0.020465	0.42754	0.360627	0.009377	0.689304	0.679927	-0.855764	0.001	10	0.077357	0.095	6	0.134968	0.101	3	0.237978	0.095	0	0.019	0	0.873636	0.001	0.184937	0.181868	0.033076	0.164828	0.983402	0.005106	0.569636	0.56453	1.015846	0	0.127697	0.119136	0.014193	0.092504	0.93296	0.478316	0.478316	1.334049	0.019	0.068	0.50356	1	1	499,500	0.53735	537.349583	10.595922	0.53735	0.259265	0.067218	0.53488	0.482488	0.00048	1.301047	1.300567	-0.005401	0.667	3	0.084	13.928	21.655756	468.971788	5	1.554836	1	97	96	2.258423	0.01391	0.013694	0.000188	0.012597	0.984537	0.00048	0.258994	0.258514	10.534648	0.000026	0.219	0.009987	0.005246	0.000028	0.009195	0.525341	0.00048	0.030194	0.029714	0.755479	0.002	17	124	7.294118	58.823529	40.832333	1,667.279412	77	0.69415	4	100	96	-0.279209	8.064516	11.22913	126.093365	4	1.392412	1	72	71	3.139772	10	19	1.9	100	0	0	100	0	100	100	0	null	52.631579	45.955547	2,111.912281	70	0.873155	1	100	99	-0.057775	10	10	1	100	0	0	100	0	100	100	0	null	100	0	0	100	0	100	100	0	null	0.039
1000---1000-10-20.tsp---1000-827.tsp	train	NETGENM	1,000	0.005	1.53219	0.899141	0.808455	1.524901	0.586834	0.000155	3.141199	3.141044	0.074841	0.001	0.03233	0.701074	0.491505	0.04588	21.685065	-1	1	2	-0.066802	0	0.407	0.001	0.658	0	0.877	0	0.495312	0.485373	0.383972	0.127193	0.016178	0.408967	0.331256	0.040422	0.648632	0.60821	-0.417965	0.001	10	0.076061	0.103	6	0.137742	0.116	2	0.339785	0.112	0	0.021	0	0.853602	0.001	0.165478	0.170116	0.02894	0.077415	1.028031	0.017306	0.544338	0.527033	0.997901	0	0.133238	0.106548	0.011352	0.100689	0.79968	0.440386	0.440386	0.722078	0.021	0.073	0.507299	0.999998	2	1	0.324001	516.222221	10.22557	0.516222	0.247051	0.061034	0.511279	0.478575	0.000377	1.27878	1.278404	0.049037	0.585	3	0.084	15.489	21.352841	455.943823	6	1.378581	1	94	93	1.943875	0.013719	0.012361	0.000153	0.012182	0.901007	0.000377	0.178053	0.177677	7.76006	0.000027	0.071	0.009831	0.005498	0.00003	0.009111	0.559239	0.000377	0.048836	0.048459	1.123239	0.002	19	148	7.789474	52.631579	43.593081	1,900.356725	37	0.828269	4	100	96	0.038112	6.756757	8.795192	77.355396	4	1.301688	1	68	67	3.687282	10	22	2.2	100	0	0	100	0	100	100	0	null	45.454545	44.559994	1,985.593074	29	0.98032	1	100	99	0.224236	10	15	1.5	100	0	0	100	0	100	100	0	null	66.666667	45.184806	2,041.666667	99	0.677772	1	100	99	-0.627648	0.043
1000---1000-10-21.tsp---1000-762.tsp	train	NETGENM	1,000	0.005	1.548417	0.915052	0.837321	1.519165	0.59096	0.002403	3.132658	3.130255	0.062043	0	0.020782	0.711369	0.506046	0.051608	34.22943	-0.99996	0.999997	1.999957	-0.053485	0.001	0.363	0	0.656	0	0.873	0	0.502558	0.502689	0.381682	0.123843	0.015337	0.381458	0.324467	0.051085	0.706323	0.655237	-0.106852	0	11	0.075269	0.099	6	0.128885	0.099	2	0.324337	0.105	0	0.019	0	0.822271	0.001	0.179024	0.155549	0.024196	0.152122	0.868874	0.020213	0.6099	0.589687	1.372489	0	0.128468	0.101533	0.010309	0.096941	0.790341	0.409199	0.409199	0.626609	0.019	0.064	0.490112	0.999998	2	1	0.603701	510.65954	9.922382	0.51066	0.248103	0.061555	0.517451	0.485849	0.000504	1.226639	1.226135	0.043245	0.609	3	0.083	15.355	23.6439	559.034009	5	1.539818	1	103	102	2.140293	0.013411	0.011453	0.000131	0.012205	0.854038	0.000504	0.184125	0.183621	7.56876	0.000026	0.238	0.009676	0.005414	0.000029	0.008692	0.559512	0.000504	0.04551	0.045006	1.161179	0.002	19	158	8.315789	52.631579	54.334571	2,952.245614	33	1.032357	4	200	196	0.916289	6.329114	6.427888	41.317746	4	1.015606	1	37	36	2.107774	8	28	3.5	125	46.291005	2,142.857143	100	0.370328	100	200	100	0.945108	35.714286	37.232858	1,386.285714	15	1.04252	1	100	99	0.642433	8	11	1.375	125	46.291005	2,142.857143	100	0.370328	100	200	100	0.945108	90.909091	53.380623	2,849.490909	100	0.587187	1	199	198	-0.110509	0.038
1000---1000-10-22.tsp---1000-184.tsp	train	NETGENM	1,000	0.005	1.513602	0.913185	0.833907	1.455191	0.603319	0.009179	3.132675	3.123496	0.106205	0.001	0.047684	0.709129	0.502863	0.115348	14.871374	-0.99996	0.999958	1.999918	-0.127727	0	0.342	0.001	0.666	0	0.821	0	0.533304	0.494557	0.384684	0.147545	0.02177	0.403632	0.383549	0.076973	0.689591	0.612619	-0.23619	0	11	0.07535	0.102	6	0.128546	0.099	2	0.33181	0.095	0.001	0.02	0	0.872826	0	0.181667	0.25771	0.066414	0.066596	1.418584	0.009518	0.753566	0.744049	1.392634	0.001	0.141936	0.109803	0.012057	0.113402	0.773609	0.400611	0.400611	0.620385	0.02	0.068	0.50989	0.999998	2	1	0.743105	522.578991	10.307516	0.522579	0.258284	0.066711	0.514571	0.494249	0.000756	1.278042	1.277287	0.109936	0.571	6	0.08	15.766	20.90072	436.840084	5	1.325683	1	86	85	1.631114	0.013753	0.012281	0.000151	0.01239	0.893008	0.000756	0.188329	0.187573	8.117802	0.000026	0.064	0.009778	0.005377	0.000029	0.00888	0.549884	0.000756	0.033853	0.033098	0.945786	0.002	17	143	8.411765	58.823529	43.772473	1,916.029412	87	0.744132	4	100	96	-0.269981	6.993007	7.594008	57.668965	4	1.085943	1	48	47	2.497665	9	17	1.888889	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	58.823529	43.418365	1,885.154412	70	0.738112	1	100	99	-0.252569	9	13	1.444444	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	76.923077	37.752398	1,425.24359	100	0.490781	4	100	96	-1.004571	0.044
1000---1000-10-23.tsp---1000-247.tsp	train	NETGENM	1,000	0.005	1.576119	0.896182	0.803142	1.579843	0.5686	0.002229	3.140932	3.138703	-0.003351	0.001	-0.003806	0.704567	0.496415	-0.009046	-185.134213	-1	0.999998	1.999997	0.009481	0	0.306	0.001	0.657	0	0.827	0	0.502343	0.476551	0.377665	0.143999	0.020736	0.392113	0.381286	0.028339	0.703576	0.675237	-0.347502	0.001	10	0.075852	0.098	6	0.135629	0.095	2	0.325387	0.105	0.001	0.019	0	0.819096	0	0.184087	0.244331	0.059698	0.061049	1.327256	0.003538	0.731357	0.727819	1.226312	0	0.127595	0.106638	0.011372	0.09539	0.835754	0.420692	0.420692	0.960114	0.019	0.066	0.504198	0.999996	2	2	0.370324	513.01669	10.063414	0.513017	0.252651	0.063833	0.510175	0.492481	0.00041	1.273003	1.272594	0.084224	0.608	4	0.084	18.028	25.170275	633.542759	6	1.396177	1	100	99	1.68409	0.0133	0.012086	0.000146	0.012061	0.908752	0.00041	0.222088	0.221678	9.068472	0.000026	0.231	0.009607	0.005408	0.000029	0.008869	0.562876	0.00041	0.030679	0.030269	0.942231	0.003	13	127	9.769231	76.923077	37.261378	1,388.410256	100	0.484398	4	100	96	-1.077088	7.874016	9.600754	92.174478	5	1.219296	1	50	49	2.309925	10	17	1.7	100	0	0	100	0	100	100	0	null	58.823529	46.129214	2,127.904412	97	0.784197	1	100	99	-0.268602	10	11	1.1	100	0	0	100	0	100	100	0	null	90.909091	29.820981	889.290909	100	0.328031	1	100	99	-2.466456	0.039
1000---1000-10-24.tsp---1000-710.tsp	train	NETGENM	1,000	0.005	1.519616	0.909186	0.826619	1.525877	0.598299	0.000186	3.140383	3.140197	0.04997	0.001	0.03752	0.711379	0.50606	0.044904	18.960016	-0.999999	1	1.999999	-0.057574	0	0.413	0	0.625	0	0.816	0	0.496898	0.499348	0.376739	0.154621	0.023908	0.401874	0.410419	0.004399	0.694652	0.690253	-0.425915	0.001	9	0.083089	0.122	7	0.105184	0.316	4	0.198982	0.119	0.001	0.021	0	0.858583	0	0.169079	0.175251	0.030713	0.117532	1.036505	0.004423	0.704486	0.700063	1.55424	0.001	0.146733	0.12555	0.015763	0.098007	0.855634	0.458547	0.458547	0.730436	0.021	0.072	0.509347	1	1	499,500	0.516655	516.654975	10.102158	0.516655	0.255014	0.065032	0.510852	0.493587	0.00063	1.284285	1.283654	0.144939	1.009	2	0.074	14.527	19.679903	387.29857	5	1.354712	1	83	82	1.724967	0.013502	0.013797	0.00019	0.012139	1.021869	0.00063	0.207038	0.206408	9.394918	0.000026	0.588	0.009581	0.005376	0.000029	0.008604	0.561065	0.00063	0.033543	0.032912	0.841307	0.002	14	150	10.714286	71.428571	45.843738	2,101.648352	92.5	0.641812	4	157	153	-0.120807	6.666667	7.524159	56.612975	4	1.128624	1	48	47	2.423718	9	16	1.777778	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	62.5	49.265268	2,427.066667	95	0.788244	1	132	131	-0.301394	9	9	1	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	0.048
1000---1000-10-25.tsp---1000-513.tsp	train	NETGENM	1,000	0.005	1.528477	0.889804	0.791751	1.478655	0.582151	0.002488	3.129939	3.127451	0.077045	0.001	0.035176	0.699034	0.488648	0.092011	19.872505	-0.999932	0.999997	1.999929	-0.08856	0	0.38	0	0.732	0	0.82	0	0.516016	0.491504	0.383021	0.13912	0.019354	0.410543	0.363217	0.006609	0.619032	0.612423	-0.79271	0.001	10	0.07807	0.121	6	0.140247	0.103	3	0.295472	0.096	0.001	0.019	0	0.857992	0	0.182704	0.15897	0.025272	0.126211	0.8701	0.003957	0.558486	0.554528	0.918827	0.001	0.136172	0.116902	0.013666	0.099038	0.858489	0.461903	0.461903	1.027709	0.019	0.072	0.496597	1	1	499,500	0.519309	519.308744	10.040904	0.519309	0.250462	0.062731	0.521545	0.482299	0.000556	1.216314	1.215758	0.012249	0.69	3	0.069	17.506	26.112177	681.84581	5	1.491613	1	110	109	1.970249	0.013669	0.012944	0.000168	0.011929	0.94698	0.000556	0.213196	0.21264	8.948042	0.000026	0.058	0.009823	0.005407	0.000029	0.009097	0.550448	0.000556	0.033805	0.033249	1.027255	0.002	16	143	8.9375	62.5	43.650124	1,905.333333	87	0.698402	4	100	96	-0.413357	6.993007	10.0095	100.190092	4	1.431359	1	65	64	3.379251	10	25	2.5	100	0	0	100	0	100	100	0	null	40	44.461594	1,976.833333	10	1.11154	1	100	99	0.445321	10	12	1.2	100	0	0	100	0	100	100	0	null	83.333333	35.985687	1,294.969697	100	0.431828	5	100	95	-1.553834	0.043
1000---1000-10-26.tsp---1000-392.tsp	train	NETGENM	1,000	0.005	1.538558	0.902912	0.81525	1.499568	0.586856	0.00532	3.130704	3.125384	0.082836	0.001	0.029343	0.703113	0.494368	0.071168	23.961993	-0.999941	0.999986	1.999927	-0.086897	0	0.295	0.001	0.617	0	0.85	0	0.512619	0.497411	0.37632	0.148099	0.021933	0.391009	0.393546	0.018387	0.672474	0.654088	-0.363219	0	10	0.073761	0.099	6	0.1377	0.105	3	0.258294	0.097	0	0.018	0	0.845424	0.001	0.194602	0.229686	0.052756	0.090761	1.180286	0.017159	0.807914	0.790754	1.37458	0	0.142137	0.114412	0.01309	0.113143	0.804945	0.458843	0.458843	0.886214	0.018	0.07	0.496815	1	1	499,500	0.513528	513.527795	9.798009	0.513528	0.252337	0.063674	0.515701	0.491379	0.000622	1.304474	1.303852	0.113924	0.658	4	0.076	17.146	26.809951	718.773457	5	1.563627	1	112	111	2.046938	0.013266	0.012456	0.000155	0.011725	0.938933	0.000622	0.206192	0.20557	8.712903	0.000026	0.057	0.009424	0.005276	0.000028	0.00862	0.559885	0.000622	0.037364	0.036742	0.911487	0.001	14	164	11.714286	71.428571	39.250114	1,540.571429	98	0.549502	4	100	96	-0.77773	6.097561	7.482675	55.990423	4	1.227159	1	55	54	3.045486	10	23	2.3	100	0	0	100	0	100	100	0	null	43.478261	45.443141	2,065.079051	16	1.045192	1	100	99	0.26575	9	12	1.333333	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	83.333333	38.00319	1,444.242424	100	0.456038	1	100	99	-1.568576	0.044
1000---1000-10-27.tsp---1000-492.tsp	train	NETGENM	1,000	0.005	1.545926	0.908798	0.825913	1.559524	0.587866	0.001321	3.141337	3.140015	0.049653	0.001	0.021055	0.705688	0.497995	0.011272	33.516868	-1	0.999999	1.999999	-0.051972	0.001	0.329	0	0.675	0	0.828	0	0.496573	0.480921	0.377758	0.145277	0.021105	0.402459	0.384576	0.019355	0.706605	0.68725	-0.531989	0.001	11	0.074353	0.106	7	0.121779	0.109	1	0.377758	0.098	0	0.021	0	0.830672	0.001	0.162955	0.1757	0.03087	0.097698	1.078209	0.00575	0.6264	0.62065	1.489483	0	0.137811	0.11573	0.013393	0.105685	0.839773	0.449942	0.449942	0.9827	0.021	0.076	0.51411	0.999998	2	1	0.413992	513.53796	10.260134	0.513538	0.253331	0.064177	0.503933	0.493306	0.00105	1.226721	1.225671	0.092062	0.658	4	0.067	16.511	23.992405	575.635515	5	1.453116	1	99	98	1.814623	0.013558	0.011305	0.000128	0.012421	0.833776	0.00105	0.151982	0.150931	6.735556	0.000026	0.245	0.009733	0.005272	0.000028	0.00887	0.541638	0.00105	0.035798	0.034748	0.945213	0.001	25	128	5.12	40	39.339336	1,547.583333	13	0.983483	4	100	96	0.449079	7.8125	12.413322	154.090551	4	1.588905	1	84	83	3.912348	10	19	1.9	100	0	0	100	0	100	100	0	null	52.631579	46.183463	2,132.912281	72	0.877486	1	100	99	-0.082693	10	13	1.3	100	0	0	100	0	100	100	0	null	76.923077	42.17713	1,778.910256	100	0.548303	1	100	99	-1.130709	0.042
1000---1000-10-28.tsp---1000-163.tsp	train	NETGENM	1,000	0.005	1.563614	0.89384	0.798951	1.539771	0.57165	0.002267	3.136487	3.13422	0.019181	0.001	0.006609	0.695437	0.483633	0.03102	105.233054	-0.999987	0.999997	1.999984	-0.019982	0	0.34	0.001	0.686	0	0.857	0	0.501903	0.515819	0.378455	0.142605	0.020336	0.391804	0.376808	0.008899	0.680916	0.672017	-0.539763	0	10	0.073702	0.118	8	0.096775	0.098	3	0.233056	0.1	0	0.017	0	0.819369	0.001	0.207122	0.205423	0.042199	0.110176	0.991797	0.031058	0.582562	0.551504	0.869554	0	0.129646	0.110197	0.012143	0.095675	0.84998	0.449092	0.449092	0.960166	0.017	0.06	0.511225	1	1	499,500	0.514646	514.645999	10.342965	0.514646	0.250109	0.062554	0.507115	0.485982	0.000654	1.305406	1.304753	0.064966	0.689	3	0.086	14.394	19.355914	374.651415	5	1.344721	1	82	81	1.749049	0.013825	0.012819	0.000164	0.012207	0.927248	0.000654	0.195148	0.194495	8.575927	0.000027	0.244	0.010009	0.005209	0.000027	0.009266	0.520495	0.000654	0.034729	0.034076	0.817715	0.002	15	128	8.533333	66.666667	40.640702	1,651.666667	93	0.609611	5	100	95	-0.596511	7.8125	11.085033	122.877953	4	1.418884	1	64	63	2.820649	10	28	2.8	100	0	0	100	0	100	100	0	null	35.714286	40.171721	1,613.767196	9	1.124808	1	100	99	0.569823	10	14	1.4	100	0	0	100	0	100	100	0	null	71.428571	45.027708	2,027.494505	99.5	0.630388	1	100	99	-0.844789	0.039
1000---1000-10-29.tsp---1000-681.tsp	train	NETGENM	1,000	0.005	1.523426	0.915494	0.838129	1.503986	0.600944	0.001676	3.141508	3.139832	0.084339	0.001	0.038927	0.714483	0.510486	0.066761	18.354657	-1	0.999999	1.999999	-0.091438	0.001	0.432	0	0.735	0	0.857	0	0.49624	0.480958	0.393378	0.124308	0.015452	0.425218	0.316002	0.047967	0.628696	0.580729	-0.7804	0.001	10	0.076233	0.1	7	0.117967	0.102	2	0.289409	0.097	0	0.026	0	0.832367	0.001	0.131026	0.135529	0.018368	0.061121	1.034372	0.015837	0.439885	0.424048	1.166586	0	0.120726	0.107889	0.01164	0.084261	0.893665	0.420758	0.420758	1.011505	0.026	0.097	0.494895	0.999998	2	1	0.270566	527.006167	10.669378	0.527006	0.250941	0.062971	0.530766	0.476162	0.000827	1.179268	1.17844	-0.043286	0.596	4	0.068	16.357	22.907866	524.770321	6	1.400493	1	100	99	1.9501	0.013994	0.012176	0.000148	0.012526	0.870145	0.000827	0.187652	0.186825	7.998658	0.000027	0.25	0.010241	0.005449	0.00003	0.009253	0.532038	0.000827	0.034696	0.033868	0.850131	0.001	13	138	10.615385	76.923077	40.882885	1,671.410256	100	0.531478	4	100	96	-1.124239	7.246377	8.562191	73.311118	5	1.181582	1	60	59	2.975376	10	17	1.7	100	0	0	100	0	100	100	0	null	58.823529	42.899935	1,840.404412	58	0.729299	1	100	99	-0.280756	10	11	1.1	100	0	0	100	0	100	100	0	null	90.909091	28.849452	832.290909	100	0.317344	4	100	96	-2.459265	0.041
1000---1000-10-3.tsp---1000-442.tsp	train	NETGENM	1,000	0.005	1.546303	0.91985	0.846125	1.494813	0.594871	0.001955	3.138465	3.13651	0.043924	0	0.020157	0.716888	0.513928	0.07591	35.564621	-0.999995	0.999998	1.999993	-0.047075	0.001	0.358	0	0.698	0	0.824	0	0.507146	0.482682	0.372128	0.134276	0.01803	0.403987	0.360832	0.050672	0.616986	0.566314	-0.589883	0	10	0.072138	0.104	8	0.096129	0.104	2	0.294396	0.102	0.001	0.023	0	0.817393	0	0.148037	0.162864	0.026525	0.07684	1.100156	0.010354	0.577383	0.567029	1.242427	0	0.136075	0.110914	0.012302	0.103381	0.815099	0.421462	0.421462	0.870189	0.023	0.081	0.505363	0.999998	2	1	0.438648	504.4028	10.102481	0.504403	0.242638	0.058873	0.500438	0.481039	0.000148	1.225621	1.225473	0.062058	0.682	4	0.087	17.059	22.574657	509.615134	5	1.323328	1	88	87	1.520315	0.013538	0.012715	0.000162	0.012074	0.939184	0.000148	0.187318	0.187169	8.012427	0.000027	0.249	0.009725	0.005399	0.000029	0.00902	0.555195	0.000148	0.04213	0.041982	0.983102	0.002	12	146	12.166667	83.333333	34.710054	1,204.787879	100	0.416521	7	100	93	-1.533842	6.849315	9.229893	85.190931	4	1.347564	1	60	59	3.594561	10	21	2.1	100	0	0	100	0	100	100	0	null	47.619048	47.954641	2,299.647619	13	1.007047	1	100	99	0.093357	9	15	1.666667	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	66.666667	45.843938	2,101.666667	97	0.687659	1	100	99	-0.632539	0.041
1000---1000-10-30.tsp---1000-871.tsp	train	NETGENM	1,000	0.005	1.486828	0.906576	0.821881	1.429724	0.609738	0.001626	3.138925	3.137299	0.121318	0.001	0.065999	0.704411	0.496195	0.140604	10.673088	-0.999996	0.999999	1.999995	-0.136375	0	0.416	0	0.686	0	0.843	0	0.50016	0.475609	0.380609	0.13009	0.016923	0.416687	0.341793	0.047045	0.633858	0.586814	-0.606825	0	10	0.076317	0.107	8	0.102154	0.102	3	0.216147	0.108	0.001	0.022	0	0.833538	0	0.154396	0.144856	0.020983	0.091944	0.938208	0.011478	0.48324	0.471762	0.78724	0	0.132928	0.114889	0.0132	0.093612	0.864294	0.44754	0.44754	0.820124	0.022	0.075	0.504242	1	1	499,500	0.512315	512.315002	10.031582	0.512315	0.247784	0.061397	0.509174	0.483655	0.00043	1.17479	1.17436	0.032656	0.695	7	0.072	19.426	28.545496	814.845369	5	1.469448	1	117	116	1.878378	0.013478	0.012414	0.000154	0.012227	0.920994	0.00043	0.193956	0.193526	8.521389	0.000026	0.239	0.009645	0.005283	0.000028	0.008982	0.547821	0.00043	0.031359	0.030929	0.710551	0.001	16	157	9.8125	62.5	43.056552	1,853.866667	89.5	0.688905	4	100	96	-0.416896	6.369427	7.776762	60.478034	4	1.220952	1	75	74	4.904743	10	19	1.9	100	0	0	100	0	100	100	0	null	52.631579	43.577786	1,899.023392	76	0.827978	1	100	99	-0.065196	10	10	1	100	0	0	100	0	100	100	0	null	100	0	0	100	0	100	100	0	null	0.039
1000---1000-10-31.tsp---1000-235.tsp	train	NETGENM	1,000	0.005	1.509035	0.892109	0.795859	1.41422	0.591179	0.014236	3.140094	3.125858	0.126954	0.001	0.052921	0.698992	0.488589	0.155937	13.208283	-0.999999	0.999899	1.999898	-0.149068	0	0.37	0.001	0.67	0	0.822	0	0.509499	0.470038	0.375597	0.149712	0.022414	0.413097	0.398597	0.011015	0.664486	0.653471	-0.549252	0.001	10	0.081852	0.099	7	0.111035	0.101	2	0.300751	0.1	0	0.021	0.001	0.864893	0	0.168387	0.195191	0.0381	0.085388	1.159181	0.010983	0.633664	0.622681	1.394917	0	0.148362	0.120744	0.014579	0.111715	0.813844	0.461429	0.461429	0.898188	0.021	0.077	0.508957	0.999996	2	2	0.279178	513.827039	10.117082	0.513827	0.25147	0.063237	0.508	0.489406	0.000715	1.230789	1.230074	0.081909	0.635	2	0.078	15.538	21.393556	457.68424	5	1.376854	1	89	88	1.746813	0.013572	0.012041	0.000145	0.012172	0.887189	0.000715	0.211821	0.211106	8.568773	0.000026	0.068	0.009831	0.005236	0.000027	0.009265	0.53258	0.000715	0.032721	0.032006	0.807113	0.002	17	153	9	58.823529	35.488088	1,259.404412	52	0.603298	4	100	96	0.006132	6.535948	6.74832	45.539818	4	1.032493	1	34	33	2.052527	9	15	1.666667	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	66.666667	43.228077	1,868.666667	95	0.648421	1	100	99	-0.621967	9	10	1.111111	111.111111	33.333333	1,111.111111	100	0.3	100	200	100	2.074074	100	46.906526	2,200.222222	100	0.469065	1	200	199	0.028778	0.044
1000---1000-10-32.tsp---1000-804.tsp	train	NETGENM	1,000	0.005	1.514748	0.918995	0.844552	1.443328	0.606698	0.000936	3.138743	3.137807	0.116472	0.001	0.047975	0.717136	0.514285	0.12712	14.948011	-0.999996	1	1.999996	-0.126033	0	0.372	0.001	0.682	0	0.926	0	0.498465	0.485781	0.401158	0.113394	0.012858	0.415321	0.282667	0.083184	0.653567	0.570383	-0.297234	0.001	10	0.075878	0.1	5	0.158776	0.099	2	0.334258	0.088	0.001	0.021	0	0.844457	0	0.16369	0.173972	0.030266	0.097659	1.062817	0.008198	0.566992	0.558794	1.158525	0	0.120312	0.092736	0.0086	0.09773	0.770791	0.410015	0.410015	0.702081	0.021	0.076	0.482647	1	1	499,500	0.531341	531.340971	10.148605	0.531341	0.256068	0.065571	0.543209	0.481928	0.000489	1.284291	1.283802	-0.028944	0.678	4	0.075	14.788	20.950417	438.919976	4	1.416717	1	91	90	1.884785	0.013516	0.011904	0.000142	0.012235	0.880726	0.000489	0.180103	0.179614	7.949425	0.000025	0.057	0.009882	0.005475	0.00003	0.009093	0.554011	0.000489	0.048	0.047511	1.041649	0.001	19	153	8.052632	52.631579	43.457784	1,888.578947	40	0.825698	4	100	96	-0.019484	6.535948	8.170088	66.750344	4	1.250024	1	62	61	3.32338	10	19	1.9	100	0	0	100	0	100	100	0	null	52.631579	47.088817	2,217.356725	80	0.894688	1	100	99	-0.078365	10	11	1.1	100	0	0	100	0	100	100	0	null	90.909091	29.820981	889.290909	100	0.328031	1	100	99	-2.466456	0.039

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