Mesure ouverte

Benchmarks

La plupart des logiciels de découpe citent un pourcentage d’utilisation matière. Un pourcentage ne veut rien dire sans savoir ce qui était atteignable — 80 % peut être optimal sur un travail et un gaspillage sur un autre. C’est pourquoi nous mesurons plutôt face au minimum théorique : pour chaque travail de test, nous calculons une borne inférieure du nombre de panneaux ou de barres que n’importe quel plan pourrait utiliser, puis nous indiquons à quelle distance se trouve le nôtre. Les entrées sont des instances académiques publiées, les résultats sont ci-dessous, et vous pouvez tout réexécuter vous-même.

89,3 %

des travaux de panneaux atteignent la borne ou s’en approchent à un panneau près

53,0 %

sont démontrablement optimaux — exactement sur la borne

1,48 %

écart moyen à la borne sur les travaux linéaires

1 259

instances de test, 8 jeux de référence

Les chiffres pour les panneaux portent sur les 553 instances canoniques à kerf 0 avec rotation désactivée — la convention utilisée par la littérature, afin qu’ils soient comparables aux travaux publiés sur les mêmes instances.

Comment la borne est calculée

Une borne inférieure est un nombre de panneaux en dessous duquel aucun plan ne peut descendre. Si notre plan l’égale, il est démontrablement optimal pour ce travail — aucun meilleur n’existe. Deux bornes sont calculées et la plus grande est retenue ; les deux sont indiquées par travail pour que vous voyiez ce que chacune apporte.

LB1 — surface, corrigée du trait de scie (kerf)

Donnez à chaque pièce posée une empreinte agrandie d’un demi-kerf de chaque côté. Dans une disposition guillotine, deux pièces quelconques sont séparées par au moins une coupe, et chaque coupe consomme un kerf ; ces empreintes ne se chevauchent donc jamais — et elles tiennent toutes dans le panneau utile agrandi d’un demi-kerf de chaque côté. Les additionner donne une borne qu’aucune disposition ne peut battre. À kerf 0, c’est la borne de surface classique.

LB1 = ceil( Σ (wᵢ + k)(hᵢ + k) / ((W + k)(H + k)) )

LB2 — fonctions duales réalisables

La borne de surface est aveugle à la forme : cinq pièces de 600 × 600 n’occupent que la surface de 1,8 panneau sur un panneau de 1000 × 1000, et pourtant une seule tient par panneau ; il en faut donc cinq. Une fonction duale réalisable est une transformation des tailles qui préserve la réalisabilité, ce qui permet à l’argument de surface de percevoir cette structure. Deux familles sont utilisées — Martello–Toth et Fekete–Schepers —, appliquées indépendamment aux largeurs et aux hauteurs, et le meilleur résultat sur toute la grille de paramètres est retenu. Sous rotation, chaque pièce est comptée selon la plus petite de ses deux orientations, faute de quoi la borne pourrait dépasser l’optimum réel.

LB2 = max over (f,g) of ceil( Σ f(wᵢ + k)·g(hᵢ + k) / (f(W + k)·g(H + k)) )

Pourquoi les instances sont mises à l’échelle

Les instances publiées utilisent de petits entiers sans unité — certaines ont un bac de 10 × 10. Notre placeur écarte les bandes libres plus fines qu’une unité, ce qui, sur un bac de 10 × 10, représenterait un dixième du panneau. Chaque instance est donc multipliée par un nombre entier jusqu’à ce que son petit côté atteigne au moins 1000 unités. La mise à l’échelle entière est une transformation exacte : le nombre optimal de panneaux ne change pas, l’instance sort simplement de la portée de ce seuil.

Reproductibilité

L’optimiseur est déterministe — une même entrée produit toujours le même plan. L’ensemble du corpus a été exécuté deux fois, cache désactivé, et tous les champs hormis les temps sont revenus identiques au byte près. Les sources des instances sont figées par SHA-256, si bien qu’une réexécution peut prouver qu’elle a mesuré les mêmes bytes. Et chaque travail est vérifié face à l’invariant selon lequel la borne ne dépasse jamais le plan réellement produit ; une seule violation arrête l’exécution au lieu de publier un chiffre.

Ce que ces chiffres ne disent pas

Notre borne n’est pas la plus forte connue. Des bornes plus fortes existent dans la littérature ; l’écart que nous indiquons est donc une estimation majorante de l’écart réel — un travail que nous marquons comme « hors de la borne » peut en réalité être optimal, sans que nous puissions le prouver.
Les écarts relatifs s’exagèrent sur les petits travaux. Le travail médian ici nécessite une douzaine de panneaux ; un panneau de plus se lit alors comme un gros pourcentage. La colonne absolue — combien de panneaux au-dessus de la borne — est l’honnête.
Deux des familles générées sont adverses par construction : leurs pièces pavent les bacs exactement, sans aucune marge, si bien que la moindre imperfection coûte un bac entier. C’est un test de plafond, pas une image du travail habituel.
La limite de 150 pièces dans le tableau des tailles n’est pas arbitraire — c’est là que les deux placeurs changent de stratégie pour la vitesse. Les travaux au-delà suivent un chemin de code différent ; une variation à cet endroit est donc un compromis délibéré, et non une falaise.
La mesure appelle les mêmes fonctions que l’Engine API publique, dans le même processus plutôt qu’en HTTP — la latence réseau fausserait les temps. Cette équivalence n’est pas supposée : un échantillon d’instances est rejoué face à l’API en direct et doit revenir identique champ par champ.

Par taille de travail

Réparti par nombre de pièces. Les deux placeurs abandonnent leur stratégie de recherche la plus coûteuse au-delà de 150 pièces ; cette limite sépare donc deux chemins de code différents.

Pièces	Travaux	Sur la borne	Écart moyen sinon	Temps p95
2D · <50	217	65,0 %	21,0 %	23.32 ms
2D · 50-150	315	47,6 %	9,6 %	77.34 ms
2D · 150+	21	9,5 %	10,1 %	474.53 ms
1D · 50-150	48	35,4 %	3,6 %	7.12 ms
1D · 150+	86	33,7 %	1,5 %	280.55 ms

Ce qui a été mesuré

Deux corpus, jamais fusionnés en un seul chiffre. Les jeux canoniques sont les instances qu’utilise la littérature académique ; ils sont téléchargés et vérifiés par hachage plutôt que recopiés ici, car leur source ne déclare aucune licence autorisant la redistribution. Les jeux générés sont les nôtres et nous pouvons les publier.

Jeu	Instances	Origine	Dans ce dépôt ?
CLASS	500	J	SHA-256 9f5ca94d6a…
BENG	10	M	SHA-256 90536b0527…
A	43	R	SHA-256 dd1804179a…
CLASS-R	500	Générés — construits à partir des paramètres du générateur publié, avec nos propres graines	✓
PERFECT2D	72	Générés — construits à partir des paramètres du générateur publié, avec nos propres graines	✓
UNIF1D	40	Générés — construits à partir des paramètres du générateur publié, avec nos propres graines	✓
TRIPLET1D	40	Générés — construits à partir des paramètres du générateur publié, avec nos propres graines	✓
RAND1D	54	Générés — construits à partir des paramètres du générateur publié, avec nos propres graines	✓

Deux familles générées portent un optimum démontré par construction : leurs pièces pavent les bacs exactement, sans aucune chute, si bien que l’optimum est connu et pas seulement borné.

Les jeux de strip-packing, de sac à dos (knapsack) et de placement orthogonal sont exclus : ce sont des problèmes différents aux objectifs différents, et un chiffre de « bacs utilisés » n’y est pas défini. La collection unidimensionnelle BPPLIB est exclue pour des raisons de licence — ses auteurs la publient sous CC BY-NC-ND, qui n’autorise pas son usage dans le benchmark d’un produit commercial.

Chaque travail

Une ligne par instance avec les réglages de référence. Les autres profils, moteurs et orientations figurent dans le fichier de résultats téléchargeable.

Seulement les travaux au-dessus de la borne

Affichage de 1 259 sur 1 259

Instance	Jeu	Pièces	Stock	Borne	Utilisés	Excédent	Util. mat.	ms
CLASS/cl_01_020_01	CLASS	20	1000×1000	8	8	—	81	19.53
CLASS/cl_01_020_02	CLASS	20	1000×1000	5	5	—	86.6	6.46
CLASS/cl_01_020_03	CLASS	20	1000×1000	8	9	+1	72.22	9.33
CLASS/cl_01_020_04	CLASS	20	1000×1000	5	6	+1	78.33	5.02
CLASS/cl_01_020_05	CLASS	20	1000×1000	6	6	—	89	6.03
CLASS/cl_01_020_06	CLASS	20	1000×1000	9	9	—	81.78	6.3
CLASS/cl_01_020_07	CLASS	20	1000×1000	6	6	—	88.33	5.78
CLASS/cl_01_020_08	CLASS	20	1000×1000	6	6	—	84.5	6
CLASS/cl_01_020_09	CLASS	20	1000×1000	8	8	—	76.88	5.9
CLASS/cl_01_020_10	CLASS	20	1000×1000	8	8	—	83	7.38
CLASS/cl_01_040_01	CLASS	40	1000×1000	10	10	—	89.5	13.33
CLASS/cl_01_040_02	CLASS	40	1000×1000	11	12	+1	89.17	14.37
CLASS/cl_01_040_03	CLASS	40	1000×1000	16	17	+1	81.76	16.15
CLASS/cl_01_040_04	CLASS	40	1000×1000	14	14	—	89.07	17.8
CLASS/cl_01_040_05	CLASS	40	1000×1000	15	15	—	91.73	13.51
CLASS/cl_01_040_06	CLASS	40	1000×1000	14	14	—	75.79	16.6
CLASS/cl_01_040_07	CLASS	40	1000×1000	11	12	+1	89.5	13.19
CLASS/cl_01_040_08	CLASS	40	1000×1000	18	19	+1	76.53	18.11
CLASS/cl_01_040_09	CLASS	40	1000×1000	11	11	—	91.64	10.99
CLASS/cl_01_040_10	CLASS	40	1000×1000	11	12	+1	85.5	12.96
CLASS/cl_01_060_01	CLASS	60	1000×1000	22	23	+1	87.26	29.24
CLASS/cl_01_060_02	CLASS	60	1000×1000	19	19	—	92.95	20.99
CLASS/cl_01_060_03	CLASS	60	1000×1000	21	21	—	86.52	23.26
CLASS/cl_01_060_04	CLASS	60	1000×1000	22	22	—	82.86	25.76
CLASS/cl_01_060_05	CLASS	60	1000×1000	19	19	—	86.79	27.32
CLASS/cl_01_060_06	CLASS	60	1000×1000	17	18	+1	92.17	24.27
CLASS/cl_01_060_07	CLASS	60	1000×1000	16	16	—	92.5	24.47
CLASS/cl_01_060_08	CLASS	60	1000×1000	21	21	—	89.67	31.67
CLASS/cl_01_060_09	CLASS	60	1000×1000	18	19	+1	91.42	23.52
CLASS/cl_01_060_10	CLASS	60	1000×1000	24	24	—	87.83	30.44
CLASS/cl_01_080_01	CLASS	80	1000×1000	25	25	—	90.96	38.28
CLASS/cl_01_080_02	CLASS	80	1000×1000	26	26	—	92.58	37.88
CLASS/cl_01_080_03	CLASS	80	1000×1000	27	27	—	85.11	31.04
CLASS/cl_01_080_04	CLASS	80	1000×1000	27	27	—	90.3	29.38
CLASS/cl_01_080_05	CLASS	80	1000×1000	26	26	—	90.46	36.19
CLASS/cl_01_080_06	CLASS	80	1000×1000	28	28	—	90.04	37
CLASS/cl_01_080_07	CLASS	80	1000×1000	31	31	—	85.81	38.29
CLASS/cl_01_080_08	CLASS	80	1000×1000	29	29	—	91.17	32.01
CLASS/cl_01_080_09	CLASS	80	1000×1000	30	31	+1	89.9	34.21
CLASS/cl_01_080_10	CLASS	80	1000×1000	26	26	—	93.31	32.58
CLASS/cl_01_100_01	CLASS	100	1000×1000	28	29	+1	94.24	48.5
CLASS/cl_01_100_02	CLASS	100	1000×1000	31	32	+1	95	44.88
CLASS/cl_01_100_03	CLASS	100	1000×1000	29	29	—	92	46.75
CLASS/cl_01_100_04	CLASS	100	1000×1000	30	31	+1	92.94	46.07
CLASS/cl_01_100_05	CLASS	100	1000×1000	32	32	—	94.22	48.57
CLASS/cl_01_100_06	CLASS	100	1000×1000	37	37	—	91.3	49.75
CLASS/cl_01_100_07	CLASS	100	1000×1000	28	29	+1	94.38	44.77
CLASS/cl_01_100_08	CLASS	100	1000×1000	33	34	+1	91.79	49.86
CLASS/cl_01_100_09	CLASS	100	1000×1000	31	32	+1	93.31	50.22
CLASS/cl_01_100_10	CLASS	100	1000×1000	38	38	—	89.92	57.65
CLASS/cl_02_020_01	CLASS	20	1020×1020	1	1	—	72	6.31
CLASS/cl_02_020_02	CLASS	20	1020×1020	1	1	—	48.11	8.85
CLASS/cl_02_020_03	CLASS	20	1020×1020	1	1	—	72.22	5.54
CLASS/cl_02_020_04	CLASS	20	1020×1020	1	1	—	52.22	8.84
CLASS/cl_02_020_05	CLASS	20	1020×1020	1	1	—	59.33	8.18
CLASS/cl_02_020_06	CLASS	20	1020×1020	1	1	—	81.78	4.56
CLASS/cl_02_020_07	CLASS	20	1020×1020	1	1	—	58.89	8.36
CLASS/cl_02_020_08	CLASS	20	1020×1020	1	1	—	56.33	8.29
CLASS/cl_02_020_09	CLASS	20	1020×1020	1	1	—	68.33	7.28
CLASS/cl_02_020_10	CLASS	20	1020×1020	1	1	—	73.78	6.94
CLASS/cl_02_040_01	CLASS	40	1020×1020	1	2	+1	49.72	20.98
CLASS/cl_02_040_02	CLASS	40	1020×1020	2	2	—	59.44	18.45
CLASS/cl_02_040_03	CLASS	40	1020×1020	2	2	—	77.22	13.63
CLASS/cl_02_040_04	CLASS	40	1020×1020	2	2	—	69.28	18.39
CLASS/cl_02_040_05	CLASS	40	1020×1020	2	2	—	76.44	11.72
CLASS/cl_02_040_06	CLASS	40	1020×1020	2	2	—	58.94	16.79
CLASS/cl_02_040_07	CLASS	40	1020×1020	2	2	—	59.67	16.32
CLASS/cl_02_040_08	CLASS	40	1020×1020	2	2	—	80.78	14.09
CLASS/cl_02_040_09	CLASS	40	1020×1020	2	2	—	56	19.51
CLASS/cl_02_040_10	CLASS	40	1020×1020	2	2	—	57	20.12
CLASS/cl_02_060_01	CLASS	60	1020×1020	3	3	—	74.33	28.33
CLASS/cl_02_060_02	CLASS	60	1020×1020	2	3	+1	65.41	30
CLASS/cl_02_060_03	CLASS	60	1020×1020	3	3	—	67.3	29.32
CLASS/cl_02_060_04	CLASS	60	1020×1020	3	3	—	67.52	30.34
CLASS/cl_02_060_05	CLASS	60	1020×1020	2	2	—	91.61	15.38
CLASS/cl_02_060_06	CLASS	60	1020×1020	2	2	—	92.17	25.69
CLASS/cl_02_060_07	CLASS	60	1020×1020	2	2	—	82.22	20
CLASS/cl_02_060_08	CLASS	60	1020×1020	3	3	—	69.74	27.39
CLASS/cl_02_060_09	CLASS	60	1020×1020	2	2	—	96.5	27.17
CLASS/cl_02_060_10	CLASS	60	1020×1020	3	3	—	78.07	22.72
CLASS/cl_02_080_01	CLASS	80	1020×1020	3	3	—	84.22	26.88
CLASS/cl_02_080_02	CLASS	80	1020×1020	3	3	—	89.15	27.56
CLASS/cl_02_080_03	CLASS	80	1020×1020	3	3	—	85.11	26.09
CLASS/cl_02_080_04	CLASS	80	1020×1020	3	3	—	90.3	24.9
CLASS/cl_02_080_05	CLASS	80	1020×1020	3	3	—	87.11	26.33
CLASS/cl_02_080_06	CLASS	80	1020×1020	3	3	—	93.37	38.74
CLASS/cl_02_080_07	CLASS	80	1020×1020	3	3	—	98.52	36.5
CLASS/cl_02_080_08	CLASS	80	1020×1020	3	3	—	97.93	35.12
CLASS/cl_02_080_09	CLASS	80	1020×1020	4	4	—	77.42	35.06
CLASS/cl_02_080_10	CLASS	80	1020×1020	3	3	—	89.85	28.08
CLASS/cl_02_100_01	CLASS	100	1020×1020	4	4	—	75.92	46.31
CLASS/cl_02_100_02	CLASS	100	1020×1020	4	4	—	84.44	37.91
CLASS/cl_02_100_03	CLASS	100	1020×1020	3	4	+1	74.11	47.32
CLASS/cl_02_100_04	CLASS	100	1020×1020	4	4	—	80.03	36.11
CLASS/cl_02_100_05	CLASS	100	1020×1020	4	4	—	83.75	34.85
CLASS/cl_02_100_06	CLASS	100	1020×1020	4	4	—	93.83	33.74
CLASS/cl_02_100_07	CLASS	100	1020×1020	4	4	—	76.03	45.32
CLASS/cl_02_100_08	CLASS	100	1020×1020	4	4	—	86.69	36.84
CLASS/cl_02_100_09	CLASS	100	1020×1020	4	4	—	82.94	38.86
CLASS/cl_02_100_10	CLASS	100	1020×1020	4	4	—	94.92	39.09
CLASS/cl_03_020_01	CLASS	20	1000×1000	5	6	+1	71.57	6.48
CLASS/cl_03_020_02	CLASS	20	1000×1000	3	4	+1	65.14	6.35
CLASS/cl_03_020_03	CLASS	20	1000×1000	5	6	+1	73.49	5.17
CLASS/cl_03_020_04	CLASS	20	1000×1000	4	4	—	77.56	3.39
CLASS/cl_03_020_05	CLASS	20	1000×1000	4	5	+1	69	7.62
CLASS/cl_03_020_06	CLASS	20	1000×1000	6	7	+1	67.9	8.58
CLASS/cl_03_020_07	CLASS	20	1000×1000	4	5	+1	68.09	8.69
CLASS/cl_03_020_08	CLASS	20	1000×1000	4	4	—	80.61	3.76
CLASS/cl_03_020_09	CLASS	20	1000×1000	5	6	+1	70.1	7.23
CLASS/cl_03_020_10	CLASS	20	1000×1000	7	7	—	66.05	7.29
CLASS/cl_03_040_01	CLASS	40	1000×1000	6	7	+1	80.01	13.92
CLASS/cl_03_040_02	CLASS	40	1000×1000	8	9	+1	79.17	10.84
CLASS/cl_03_040_03	CLASS	40	1000×1000	11	11	—	82.55	12.91
CLASS/cl_03_040_04	CLASS	40	1000×1000	10	10	—	82.35	10.25
CLASS/cl_03_040_05	CLASS	40	1000×1000	12	12	—	78.66	17.34
CLASS/cl_03_040_06	CLASS	40	1000×1000	10	10	—	69.73	12.43
CLASS/cl_03_040_07	CLASS	40	1000×1000	8	9	+1	80.7	14.89
CLASS/cl_03_040_08	CLASS	40	1000×1000	13	14	+1	70.99	13.62
CLASS/cl_03_040_09	CLASS	40	1000×1000	7	8	+1	83.67	12.84
CLASS/cl_03_040_10	CLASS	40	1000×1000	7	9	+2	74.76	14.18
CLASS/cl_03_060_01	CLASS	60	1000×1000	16	17	+1	79.29	25.75
CLASS/cl_03_060_02	CLASS	60	1000×1000	12	14	+2	81.34	25.16
CLASS/cl_03_060_03	CLASS	60	1000×1000	13	15	+2	81.93	24.44
CLASS/cl_03_060_04	CLASS	60	1000×1000	14	16	+2	76.81	21
CLASS/cl_03_060_05	CLASS	60	1000×1000	11	13	+2	83.69	24.03
CLASS/cl_03_060_06	CLASS	60	1000×1000	12	13	+1	85.11	20.5
CLASS/cl_03_060_07	CLASS	60	1000×1000	11	12	+1	83.01	26.61
CLASS/cl_03_060_08	CLASS	60	1000×1000	15	15	—	85.22	23.83
CLASS/cl_03_060_09	CLASS	60	1000×1000	13	14	+1	82.64	24.61
CLASS/cl_03_060_10	CLASS	60	1000×1000	17	18	+1	80.88	30.46
CLASS/cl_03_080_01	CLASS	80	1000×1000	17	18	+1	84.23	35.53
CLASS/cl_03_080_02	CLASS	80	1000×1000	18	19	+1	83.7	38.77
CLASS/cl_03_080_03	CLASS	80	1000×1000	17	19	+2	81.68	32.44
CLASS/cl_03_080_04	CLASS	80	1000×1000	18	19	+1	85.95	38.77
CLASS/cl_03_080_05	CLASS	80	1000×1000	16	18	+2	86.66	38.81
CLASS/cl_03_080_06	CLASS	80	1000×1000	20	21	+1	81.74	36.88
CLASS/cl_03_080_07	CLASS	80	1000×1000	20	21	+1	86.42	41.99
CLASS/cl_03_080_08	CLASS	80	1000×1000	22	22	—	82	36.07
CLASS/cl_03_080_09	CLASS	80	1000×1000	21	23	+2	80.86	42.56
CLASS/cl_03_080_10	CLASS	80	1000×1000	18	20	+2	81.07	38.16
CLASS/cl_03_100_01	CLASS	100	1000×1000	19	20	+1	89.76	44.22
CLASS/cl_03_100_02	CLASS	100	1000×1000	22	23	+1	90.33	56.03
CLASS/cl_03_100_03	CLASS	100	1000×1000	18	20	+2	88.2	52.97
CLASS/cl_03_100_04	CLASS	100	1000×1000	20	22	+2	86.72	52.01
CLASS/cl_03_100_05	CLASS	100	1000×1000	22	24	+2	84.18	59.79
CLASS/cl_03_100_06	CLASS	100	1000×1000	26	27	+1	85.09	55.79
CLASS/cl_03_100_07	CLASS	100	1000×1000	20	21	+1	87.63	51.69
CLASS/cl_03_100_08	CLASS	100	1000×1000	23	24	+1	87.04	52.84
CLASS/cl_03_100_09	CLASS	100	1000×1000	21	23	+2	85.6	64.27
CLASS/cl_03_100_10	CLASS	100	1000×1000	29	30	+1	77.48	55.58
CLASS/cl_04_020_01	CLASS	20	1000×1000	1	1	—	68.71	8.06
CLASS/cl_04_020_02	CLASS	20	1000×1000	1	1	—	41.69	9.41
CLASS/cl_04_020_03	CLASS	20	1000×1000	1	1	—	70.55	6.23
CLASS/cl_04_020_04	CLASS	20	1000×1000	1	1	—	49.64	9.82
CLASS/cl_04_020_05	CLASS	20	1000×1000	1	1	—	55.2	8.52
CLASS/cl_04_020_06	CLASS	20	1000×1000	1	1	—	76.05	6.87
CLASS/cl_04_020_07	CLASS	20	1000×1000	1	1	—	54.47	8.55
CLASS/cl_04_020_08	CLASS	20	1000×1000	1	1	—	51.59	9.62
CLASS/cl_04_020_09	CLASS	20	1000×1000	1	1	—	67.3	7.84
CLASS/cl_04_020_10	CLASS	20	1000×1000	1	1	—	73.98	6.01
CLASS/cl_04_040_01	CLASS	40	1000×1000	1	1	—	89.68	23.94
CLASS/cl_04_040_02	CLASS	40	1000×1000	2	2	—	57	20.45
CLASS/cl_04_040_03	CLASS	40	1000×1000	2	2	—	72.64	18.08
CLASS/cl_04_040_04	CLASS	40	1000×1000	2	2	—	65.88	18.43
CLASS/cl_04_040_05	CLASS	40	1000×1000	2	2	—	75.51	16.86
CLASS/cl_04_040_06	CLASS	40	1000×1000	2	2	—	55.78	17.08
CLASS/cl_04_040_07	CLASS	40	1000×1000	2	2	—	58.1	21.85
CLASS/cl_04_040_08	CLASS	40	1000×1000	2	2	—	79.51	13.79
CLASS/cl_04_040_09	CLASS	40	1000×1000	2	2	—	53.55	20.45
CLASS/cl_04_040_10	CLASS	40	1000×1000	2	2	—	53.83	23.66
CLASS/cl_04_060_01	CLASS	60	1000×1000	3	3	—	71.89	27.23
CLASS/cl_04_060_02	CLASS	60	1000×1000	2	2	—	91.1	26.98
CLASS/cl_04_060_03	CLASS	60	1000×1000	2	3	+1	65.55	31.43
CLASS/cl_04_060_04	CLASS	60	1000×1000	2	3	+1	65.54	32.1
CLASS/cl_04_060_05	CLASS	60	1000×1000	2	2	—	87.03	25.09
CLASS/cl_04_060_06	CLASS	60	1000×1000	2	2	—	88.52	26.21
CLASS/cl_04_060_07	CLASS	60	1000×1000	2	2	—	79.68	27.66
CLASS/cl_04_060_08	CLASS	60	1000×1000	3	3	—	68.18	28.24
CLASS/cl_04_060_09	CLASS	60	1000×1000	2	2	—	92.55	30.54
CLASS/cl_04_060_10	CLASS	60	1000×1000	3	3	—	77.65	25.23
CLASS/cl_04_080_01	CLASS	80	1000×1000	3	3	—	80.86	35.47
CLASS/cl_04_080_02	CLASS	80	1000×1000	3	3	—	84.82	34.84
CLASS/cl_04_080_03	CLASS	80	1000×1000	3	3	—	82.77	35.16
CLASS/cl_04_080_04	CLASS	80	1000×1000	3	3	—	87.09	32.84
CLASS/cl_04_080_05	CLASS	80	1000×1000	3	3	—	83.19	36.69
CLASS/cl_04_080_06	CLASS	80	1000×1000	3	3	—	91.55	37.72
CLASS/cl_04_080_07	CLASS	80	1000×1000	3	4	+1	72.59	44.26
CLASS/cl_04_080_08	CLASS	80	1000×1000	3	4	+1	72.16	47.62
CLASS/cl_04_080_09	CLASS	80	1000×1000	3	4	+1	74.39	36.31
CLASS/cl_04_080_10	CLASS	80	1000×1000	3	3	—	86.48	31.45
CLASS/cl_04_100_01	CLASS	100	1000×1000	3	4	+1	71.81	57.1
CLASS/cl_04_100_02	CLASS	100	1000×1000	4	4	—	83.1	49.72
CLASS/cl_04_100_03	CLASS	100	1000×1000	3	3	—	94.08	49.28
CLASS/cl_04_100_04	CLASS	100	1000×1000	4	4	—	76.31	52.56
CLASS/cl_04_100_05	CLASS	100	1000×1000	4	4	—	80.82	47
CLASS/cl_04_100_06	CLASS	100	1000×1000	4	4	—	91.9	34.17
CLASS/cl_04_100_07	CLASS	100	1000×1000	3	4	+1	73.61	56.27
CLASS/cl_04_100_08	CLASS	100	1000×1000	4	4	—	83.56	46.1
CLASS/cl_04_100_09	CLASS	100	1000×1000	4	4	—	78.75	52.47
CLASS/cl_04_100_10	CLASS	100	1000×1000	4	4	—	92.97	53.37
CLASS/cl_05_020_01	CLASS	20	1000×1000	7	8	+1	67.14	8.28
CLASS/cl_05_020_02	CLASS	20	1000×1000	4	5	+1	64.73	8.93
CLASS/cl_05_020_03	CLASS	20	1000×1000	7	7	—	78.91	4.89
CLASS/cl_05_020_04	CLASS	20	1000×1000	5	5	—	77.78	4.29
CLASS/cl_05_020_05	CLASS	20	1000×1000	5	6	+1	72.68	7.9
CLASS/cl_05_020_06	CLASS	20	1000×1000	8	9	+1	66.88	10.2
CLASS/cl_05_020_07	CLASS	20	1000×1000	5	6	+1	71.09	7.23
CLASS/cl_05_020_08	CLASS	20	1000×1000	5	5	—	80.93	7.2
CLASS/cl_05_020_09	CLASS	20	1000×1000	7	7	—	75.38	6.2
CLASS/cl_05_020_10	CLASS	20	1000×1000	7	8	+1	73.02	9.76
CLASS/cl_05_040_01	CLASS	40	1000×1000	8	9	+1	77.24	15.04
CLASS/cl_05_040_02	CLASS	40	1000×1000	10	11	+1	81.03	14.13
CLASS/cl_05_040_03	CLASS	40	1000×1000	15	15	—	76.91	18.46
CLASS/cl_05_040_04	CLASS	40	1000×1000	12	13	+1	80.22	20.7
CLASS/cl_05_040_05	CLASS	40	1000×1000	13	15	+2	79.34	17.86
CLASS/cl_05_040_06	CLASS	40	1000×1000	12	12	—	73.14	12.04
CLASS/cl_05_040_07	CLASS	40	1000×1000	10	11	+1	82.4	13.62
CLASS/cl_05_040_08	CLASS	40	1000×1000	17	17	—	73.54	14.19
CLASS/cl_05_040_09	CLASS	40	1000×1000	9	10	+1	83.98	14.93
CLASS/cl_05_040_10	CLASS	40	1000×1000	10	11	+1	76.84	16.6
CLASS/cl_05_060_01	CLASS	60	1000×1000	19	21	+2	81.27	24.76
CLASS/cl_05_060_02	CLASS	60	1000×1000	16	18	+2	80.12	30.37
CLASS/cl_05_060_03	CLASS	60	1000×1000	18	20	+2	77.34	31.61
CLASS/cl_05_060_04	CLASS	60	1000×1000	20	20	—	77.46	28
CLASS/cl_05_060_05	CLASS	60	1000×1000	15	16	+1	85.41	31.02
CLASS/cl_05_060_06	CLASS	60	1000×1000	15	17	+2	81.56	27.1
CLASS/cl_05_060_07	CLASS	60	1000×1000	14	15	+1	83.06	31.52
CLASS/cl_05_060_08	CLASS	60	1000×1000	19	19	—	84.78	30.86
CLASS/cl_05_060_09	CLASS	60	1000×1000	16	17	+1	85.38	32.27
CLASS/cl_05_060_10	CLASS	60	1000×1000	23	24	+1	76.49	29.53
CLASS/cl_05_080_01	CLASS	80	1000×1000	22	24	+2	79.27	37.27
CLASS/cl_05_080_02	CLASS	80	1000×1000	22	24	+2	83.66	43.15
CLASS/cl_05_080_03	CLASS	80	1000×1000	24	25	+1	78.08	43.26
CLASS/cl_05_080_04	CLASS	80	1000×1000	24	25	+1	81.8	39.72
CLASS/cl_05_080_05	CLASS	80	1000×1000	22	24	+2	81.76	37.58
CLASS/cl_05_080_06	CLASS	80	1000×1000	25	26	+1	82.97	46.66
CLASS/cl_05_080_07	CLASS	80	1000×1000	27	28	+1	81.27	45.66
CLASS/cl_05_080_08	CLASS	80	1000×1000	26	27	+1	84.7	53.7
CLASS/cl_05_080_09	CLASS	80	1000×1000	26	28	+2	83.77	43.29
CLASS/cl_05_080_10	CLASS	80	1000×1000	22	24	+2	84.88	45
CLASS/cl_05_100_01	CLASS	100	1000×1000	23	26	+3	86.8	62.24
CLASS/cl_05_100_02	CLASS	100	1000×1000	28	30	+2	87.26	72.72
CLASS/cl_05_100_03	CLASS	100	1000×1000	23	26	+3	85.41	65.61
CLASS/cl_05_100_04	CLASS	100	1000×1000	26	28	+2	85.72	57.85
CLASS/cl_05_100_05	CLASS	100	1000×1000	27	30	+3	84.74	64.41
CLASS/cl_05_100_06	CLASS	100	1000×1000	33	35	+2	82.85	68.83
CLASS/cl_05_100_07	CLASS	100	1000×1000	24	27	+3	85.61	61.84
CLASS/cl_05_100_08	CLASS	100	1000×1000	29	31	+2	84.8	68.72
CLASS/cl_05_100_09	CLASS	100	1000×1000	27	29	+2	85.9	60.19
CLASS/cl_05_100_10	CLASS	100	1000×1000	35	36	+1	81.26	67.84
CLASS/cl_06_020_01	CLASS	20	1200×1200	1	1	—	59.68	9.38
CLASS/cl_06_020_02	CLASS	20	1200×1200	1	1	—	35.96	9.17
CLASS/cl_06_020_03	CLASS	20	1200×1200	1	1	—	61.37	8.35
CLASS/cl_06_020_04	CLASS	20	1200×1200	1	1	—	43.21	9.71
CLASS/cl_06_020_05	CLASS	20	1200×1200	1	1	—	48.45	10.37
CLASS/cl_06_020_06	CLASS	20	1200×1200	1	1	—	66.88	6.02
CLASS/cl_06_020_07	CLASS	20	1200×1200	1	1	—	47.4	9.67
CLASS/cl_06_020_08	CLASS	20	1200×1200	1	1	—	44.96	9.67
CLASS/cl_06_020_09	CLASS	20	1200×1200	1	1	—	58.63	9.44
CLASS/cl_06_020_10	CLASS	20	1200×1200	1	1	—	64.9	8.44
CLASS/cl_06_040_01	CLASS	40	1200×1200	1	1	—	77.24	16.02
CLASS/cl_06_040_02	CLASS	40	1200×1200	1	2	+1	49.52	22.73
CLASS/cl_06_040_03	CLASS	40	1200×1200	2	2	—	64.1	19.12
CLASS/cl_06_040_04	CLASS	40	1200×1200	2	2	—	57.93	24.41
CLASS/cl_06_040_05	CLASS	40	1200×1200	2	2	—	66.12	17.83
CLASS/cl_06_040_06	CLASS	40	1200×1200	1	2	+1	48.76	22.31
CLASS/cl_06_040_07	CLASS	40	1200×1200	2	2	—	50.35	22.49
CLASS/cl_06_040_08	CLASS	40	1200×1200	2	2	—	69.45	16.84
CLASS/cl_06_040_09	CLASS	40	1200×1200	1	2	+1	46.66	19.81
CLASS/cl_06_040_10	CLASS	40	1200×1200	1	2	+1	46.96	28.71
CLASS/cl_06_060_01	CLASS	60	1200×1200	2	3	+1	63.21	39.24
CLASS/cl_06_060_02	CLASS	60	1200×1200	2	2	—	80.12	28.41
CLASS/cl_06_060_03	CLASS	60	1200×1200	2	2	—	85.93	32.26
CLASS/cl_06_060_04	CLASS	60	1200×1200	2	2	—	86.07	26.31
CLASS/cl_06_060_05	CLASS	60	1200×1200	2	2	—	75.92	30.93
CLASS/cl_06_060_06	CLASS	60	1200×1200	2	2	—	77.03	27.52
CLASS/cl_06_060_07	CLASS	60	1200×1200	2	2	—	69.22	33.6
CLASS/cl_06_060_08	CLASS	60	1200×1200	2	2	—	89.49	23.14
CLASS/cl_06_060_09	CLASS	60	1200×1200	2	2	—	80.64	27.32
CLASS/cl_06_060_10	CLASS	60	1200×1200	3	3	—	67.99	30.13
CLASS/cl_06_080_01	CLASS	80	1200×1200	3	3	—	70.46	41.97
CLASS/cl_06_080_02	CLASS	80	1200×1200	3	3	—	74.37	43.48
CLASS/cl_06_080_03	CLASS	80	1200×1200	3	3	—	72.29	44.83
CLASS/cl_06_080_04	CLASS	80	1200×1200	3	3	—	75.74	40.08
CLASS/cl_06_080_05	CLASS	80	1200×1200	3	3	—	72.68	41.89
CLASS/cl_06_080_06	CLASS	80	1200×1200	3	3	—	79.89	41.11
CLASS/cl_06_080_07	CLASS	80	1200×1200	3	3	—	84.28	37.5
CLASS/cl_06_080_08	CLASS	80	1200×1200	3	3	—	84.7	41.71
CLASS/cl_06_080_09	CLASS	80	1200×1200	3	3	—	86.87	33.21
CLASS/cl_06_080_10	CLASS	80	1200×1200	3	3	—	75.45	41.36
CLASS/cl_06_100_01	CLASS	100	1200×1200	3	3	—	83.58	54.44
CLASS/cl_06_100_02	CLASS	100	1200×1200	3	4	+1	72.72	61.23
CLASS/cl_06_100_03	CLASS	100	1200×1200	3	3	—	82.24	55.16
CLASS/cl_06_100_04	CLASS	100	1200×1200	3	3	—	88.9	49.85
CLASS/cl_06_100_05	CLASS	100	1200×1200	3	4	+1	70.62	64.28
CLASS/cl_06_100_06	CLASS	100	1200×1200	4	4	—	80.55	56.04
CLASS/cl_06_100_07	CLASS	100	1200×1200	3	3	—	85.61	56.34
CLASS/cl_06_100_08	CLASS	100	1200×1200	3	4	+1	73.02	60.61
CLASS/cl_06_100_09	CLASS	100	1200×1200	3	3	—	92.26	61.11
CLASS/cl_06_100_10	CLASS	100	1200×1200	4	4	—	81.26	54.99
CLASS/cl_07_020_01	CLASS	20	1000×1000	5	5	—	87.73	7.79
CLASS/cl_07_020_02	CLASS	20	1000×1000	5	5	—	75.99	3.66
CLASS/cl_07_020_03	CLASS	20	1000×1000	5	5	—	78.54	6.2
CLASS/cl_07_020_04	CLASS	20	1000×1000	7	7	—	72.92	5.26
CLASS/cl_07_020_05	CLASS	20	1000×1000	6	6	—	77	7.84
CLASS/cl_07_020_06	CLASS	20	1000×1000	5	6	+1	73.23	6.6
CLASS/cl_07_020_07	CLASS	20	1000×1000	4	4	—	81.86	3.75
CLASS/cl_07_020_08	CLASS	20	1000×1000	6	7	+1	66.57	9.16
CLASS/cl_07_020_09	CLASS	20	1000×1000	6	7	+1	68.72	7.64
CLASS/cl_07_020_10	CLASS	20	1000×1000	4	5	+1	68.43	7.2
CLASS/cl_07_040_01	CLASS	40	1000×1000	10	10	—	83.54	13.77
CLASS/cl_07_040_02	CLASS	40	1000×1000	12	13	+1	79.35	14.81
CLASS/cl_07_040_03	CLASS	40	1000×1000	9	10	+1	83.21	13.36
CLASS/cl_07_040_04	CLASS	40	1000×1000	14	15	+1	74.56	18.16
CLASS/cl_07_040_05	CLASS	40	1000×1000	9	10	+1	78.66	9.9
CLASS/cl_07_040_06	CLASS	40	1000×1000	11	12	+1	79.65	15.17
CLASS/cl_07_040_07	CLASS	40	1000×1000	11	12	+1	75.75	11.83
CLASS/cl_07_040_08	CLASS	40	1000×1000	11	12	+1	79.6	13.38
CLASS/cl_07_040_09	CLASS	40	1000×1000	8	9	+1	77.22	16.11
CLASS/cl_07_040_10	CLASS	40	1000×1000	13	13	—	78.49	10.89
CLASS/cl_07_060_01	CLASS	60	1000×1000	17	18	+1	81.52	28.03
CLASS/cl_07_060_02	CLASS	60	1000×1000	14	15	+1	82.51	28.49
CLASS/cl_07_060_03	CLASS	60	1000×1000	17	17	—	82.76	22.36
CLASS/cl_07_060_04	CLASS	60	1000×1000	14	16	+2	80.09	27.99
CLASS/cl_07_060_05	CLASS	60	1000×1000	14	15	+1	80.79	23.84
CLASS/cl_07_060_06	CLASS	60	1000×1000	15	15	—	80.85	23.28
CLASS/cl_07_060_07	CLASS	60	1000×1000	15	15	—	82.92	27
CLASS/cl_07_060_08	CLASS	60	1000×1000	17	18	+1	80.73	23.38
CLASS/cl_07_060_09	CLASS	60	1000×1000	14	15	+1	84.79	27.94
CLASS/cl_07_060_10	CLASS	60	1000×1000	18	20	+2	81.02	31.32
CLASS/cl_07_080_01	CLASS	80	1000×1000	20	22	+2	81.57	43.69
CLASS/cl_07_080_02	CLASS	80	1000×1000	25	26	+1	80.46	43.57
CLASS/cl_07_080_03	CLASS	80	1000×1000	20	21	+1	84.4	35.56
CLASS/cl_07_080_04	CLASS	80	1000×1000	21	22	+1	83.78	34.56
CLASS/cl_07_080_05	CLASS	80	1000×1000	23	24	+1	81.9	34.93
CLASS/cl_07_080_06	CLASS	80	1000×1000	22	23	+1	83.33	34.68
CLASS/cl_07_080_07	CLASS	80	1000×1000	24	25	+1	82.54	38.77
CLASS/cl_07_080_08	CLASS	80	1000×1000	22	23	+1	82.15	36.97
CLASS/cl_07_080_09	CLASS	80	1000×1000	23	24	+1	82.26	38.67
CLASS/cl_07_080_10	CLASS	80	1000×1000	24	24	—	84.85	39.13
CLASS/cl_07_100_01	CLASS	100	1000×1000	27	28	+1	84.27	52.97
CLASS/cl_07_100_02	CLASS	100	1000×1000	27	28	+1	82.92	54.16
CLASS/cl_07_100_03	CLASS	100	1000×1000	24	25	+1	83.07	51.77
CLASS/cl_07_100_04	CLASS	100	1000×1000	26	27	+1	83.53	50.6
CLASS/cl_07_100_05	CLASS	100	1000×1000	25	25	—	86.17	48.53
CLASS/cl_07_100_06	CLASS	100	1000×1000	28	31	+3	79.93	58.5
CLASS/cl_07_100_07	CLASS	100	1000×1000	27	28	+1	81.47	57.67
CLASS/cl_07_100_08	CLASS	100	1000×1000	28	29	+1	84.01	55.69
CLASS/cl_07_100_09	CLASS	100	1000×1000	25	26	+1	86.89	63.7
CLASS/cl_07_100_10	CLASS	100	1000×1000	31	33	+2	82.45	61.11
CLASS/cl_08_020_01	CLASS	20	1000×1000	6	6	—	80.61	8.51
CLASS/cl_08_020_02	CLASS	20	1000×1000	6	7	+1	66.29	6.81
CLASS/cl_08_020_03	CLASS	20	1000×1000	5	6	+1	73.5	7.5
CLASS/cl_08_020_04	CLASS	20	1000×1000	7	7	—	71.13	7.35
CLASS/cl_08_020_05	CLASS	20	1000×1000	6	6	—	69.53	8.66
CLASS/cl_08_020_06	CLASS	20	1000×1000	6	6	—	78.84	7.97
CLASS/cl_08_020_07	CLASS	20	1000×1000	4	5	+1	67.71	6.87
CLASS/cl_08_020_08	CLASS	20	1000×1000	5	5	—	83.84	5.25
CLASS/cl_08_020_09	CLASS	20	1000×1000	6	7	+1	70.45	8.27
CLASS/cl_08_020_10	CLASS	20	1000×1000	4	4	—	77.66	8.3
CLASS/cl_08_040_01	CLASS	40	1000×1000	11	12	+1	79.38	14.83
CLASS/cl_08_040_02	CLASS	40	1000×1000	13	14	+1	76.04	18.96
CLASS/cl_08_040_03	CLASS	40	1000×1000	11	11	—	81.13	14.95
CLASS/cl_08_040_04	CLASS	40	1000×1000	12	12	—	83.12	16.06
CLASS/cl_08_040_05	CLASS	40	1000×1000	9	9	—	80.68	16.5
CLASS/cl_08_040_06	CLASS	40	1000×1000	12	12	—	79	15.37
CLASS/cl_08_040_07	CLASS	40	1000×1000	11	12	+1	73.85	16.07
CLASS/cl_08_040_08	CLASS	40	1000×1000	11	11	—	83.46	15
CLASS/cl_08_040_09	CLASS	40	1000×1000	9	10	+1	77.08	15.3
CLASS/cl_08_040_10	CLASS	40	1000×1000	13	14	+1	75.26	18.42
CLASS/cl_08_060_01	CLASS	60	1000×1000	17	18	+1	81	32.23
CLASS/cl_08_060_02	CLASS	60	1000×1000	17	17	—	84.45	28.61
CLASS/cl_08_060_03	CLASS	60	1000×1000	16	17	+1	82.62	26.81
CLASS/cl_08_060_04	CLASS	60	1000×1000	15	16	+1	77.84	27.9
CLASS/cl_08_060_05	CLASS	60	1000×1000	14	15	+1	81.26	26.44
CLASS/cl_08_060_06	CLASS	60	1000×1000	15	15	—	86.15	27.32
CLASS/cl_08_060_07	CLASS	60	1000×1000	14	14	—	86.76	26.72
CLASS/cl_08_060_08	CLASS	60	1000×1000	17	18	+1	81.66	32.44
CLASS/cl_08_060_09	CLASS	60	1000×1000	16	17	+1	80.4	30.63
CLASS/cl_08_060_10	CLASS	60	1000×1000	18	18	—	83.25	32
CLASS/cl_08_080_01	CLASS	80	1000×1000	22	22	—	83.42	45.7
CLASS/cl_08_080_02	CLASS	80	1000×1000	24	24	—	80.74	47.18
CLASS/cl_08_080_03	CLASS	80	1000×1000	20	21	+1	82.45	42.52
CLASS/cl_08_080_04	CLASS	80	1000×1000	19	21	+2	81.81	43.36
CLASS/cl_08_080_05	CLASS	80	1000×1000	26	26	—	84.23	46.89
CLASS/cl_08_080_06	CLASS	80	1000×1000	22	22	—	85.07	44.25
CLASS/cl_08_080_07	CLASS	80	1000×1000	22	22	—	86.13	44.35
CLASS/cl_08_080_08	CLASS	80	1000×1000	22	23	+1	84.44	50.84
CLASS/cl_08_080_09	CLASS	80	1000×1000	21	22	+1	85.62	41.15
CLASS/cl_08_080_10	CLASS	80	1000×1000	24	25	+1	83.31	42.96
CLASS/cl_08_100_01	CLASS	100	1000×1000	26	27	+1	84.05	61.98
CLASS/cl_08_100_02	CLASS	100	1000×1000	27	28	+1	81.59	64.62
CLASS/cl_08_100_03	CLASS	100	1000×1000	24	25	+1	82.53	65.46
CLASS/cl_08_100_04	CLASS	100	1000×1000	30	31	+1	82.11	77
CLASS/cl_08_100_05	CLASS	100	1000×1000	29	30	+1	80.26	72
CLASS/cl_08_100_06	CLASS	100	1000×1000	26	27	+1	83.7	61.2
CLASS/cl_08_100_07	CLASS	100	1000×1000	25	27	+2	83.64	63.52
CLASS/cl_08_100_08	CLASS	100	1000×1000	28	29	+1	84.53	65.39
CLASS/cl_08_100_09	CLASS	100	1000×1000	26	27	+1	86.79	66.66
CLASS/cl_08_100_10	CLASS	100	1000×1000	32	33	+1	82.91	71.35
CLASS/cl_09_020_01	CLASS	20	1000×1000	19	19	—	58.57	11.46
CLASS/cl_09_020_02	CLASS	20	1000×1000	13	13	—	58.37	10.66
CLASS/cl_09_020_03	CLASS	20	1000×1000	14	14	—	65.55	8.91
CLASS/cl_09_020_04	CLASS	20	1000×1000	16	16	—	54.69	10.48
CLASS/cl_09_020_05	CLASS	20	1000×1000	16	16	—	61.61	10.92
CLASS/cl_09_020_06	CLASS	20	1000×1000	14	14	—	69.81	9.88
CLASS/cl_09_020_07	CLASS	20	1000×1000	9	9	—	72.2	8.38
CLASS/cl_09_020_08	CLASS	20	1000×1000	14	14	—	60.09	9.74
CLASS/cl_09_020_09	CLASS	20	1000×1000	15	15	—	67.74	10.76
CLASS/cl_09_020_10	CLASS	20	1000×1000	13	13	—	59.5	10.95
CLASS/cl_09_040_01	CLASS	40	1000×1000	24	25	+1	64.75	19.44
CLASS/cl_09_040_02	CLASS	40	1000×1000	32	32	—	57.89	29.47
CLASS/cl_09_040_03	CLASS	40	1000×1000	28	29	+1	63.84	24.82
CLASS/cl_09_040_04	CLASS	40	1000×1000	31	31	—	60.33	25.76
CLASS/cl_09_040_05	CLASS	40	1000×1000	27	27	—	61.57	24.37
CLASS/cl_09_040_06	CLASS	40	1000×1000	29	29	—	63.35	17.64
CLASS/cl_09_040_07	CLASS	40	1000×1000	24	24	—	65.69	21.58
CLASS/cl_09_040_08	CLASS	40	1000×1000	26	26	—	69.07	17.19
CLASS/cl_09_040_09	CLASS	40	1000×1000	21	21	—	70.96	22.35
CLASS/cl_09_040_10	CLASS	40	1000×1000	33	34	+1	59.14	32.63
CLASS/cl_09_060_01	CLASS	60	1000×1000	46	46	—	63.67	43.61
CLASS/cl_09_060_02	CLASS	60	1000×1000	44	45	+1	65.07	46.72
CLASS/cl_09_060_03	CLASS	60	1000×1000	46	46	—	64.46	43.93
CLASS/cl_09_060_04	CLASS	60	1000×1000	44	44	—	59.58	44.51
CLASS/cl_09_060_05	CLASS	60	1000×1000	41	41	—	60.19	42.97
CLASS/cl_09_060_06	CLASS	60	1000×1000	37	37	—	65.29	44.45
CLASS/cl_09_060_07	CLASS	60	1000×1000	40	41	+1	60.34	48.76
CLASS/cl_09_060_08	CLASS	60	1000×1000	47	47	—	59.45	49.26
CLASS/cl_09_060_09	CLASS	60	1000×1000	45	45	—	59.92	39.83
CLASS/cl_09_060_10	CLASS	60	1000×1000	45	45	—	64.2	45.75
CLASS/cl_09_080_01	CLASS	80	1000×1000	58	59	+1	59.48	77.34
CLASS/cl_09_080_02	CLASS	80	1000×1000	58	58	—	62.11	72.18
CLASS/cl_09_080_03	CLASS	80	1000×1000	57	57	—	61.57	71.55
CLASS/cl_09_080_04	CLASS	80	1000×1000	52	53	+1	67.13	73.83
CLASS/cl_09_080_05	CLASS	80	1000×1000	61	62	+1	62.34	79.93
CLASS/cl_09_080_06	CLASS	80	1000×1000	62	62	—	60.14	83.74
CLASS/cl_09_080_07	CLASS	80	1000×1000	59	59	—	65.24	70.87
CLASS/cl_09_080_08	CLASS	80	1000×1000	58	58	—	63.59	78.4
CLASS/cl_09_080_09	CLASS	80	1000×1000	49	49	—	67.69	59.96
CLASS/cl_09_080_10	CLASS	80	1000×1000	60	60	—	64.93	74.4
CLASS/cl_09_100_01	CLASS	100	1000×1000	71	71	—	63.9	91.46
CLASS/cl_09_100_02	CLASS	100	1000×1000	64	64	—	67.27	98.02
CLASS/cl_09_100_03	CLASS	100	1000×1000	68	68	—	61.54	102.93
CLASS/cl_09_100_04	CLASS	100	1000×1000	78	78	—	60.91	120.71
CLASS/cl_09_100_05	CLASS	100	1000×1000	65	65	—	63.49	109.07
CLASS/cl_09_100_06	CLASS	100	1000×1000	71	71	—	64.71	109.05
CLASS/cl_09_100_07	CLASS	100	1000×1000	66	66	—	62.98	101.4
CLASS/cl_09_100_08	CLASS	100	1000×1000	73	74	+1	63.02	115.94
CLASS/cl_09_100_09	CLASS	100	1000×1000	65	66	+1	65.86	100.46
CLASS/cl_09_100_10	CLASS	100	1000×1000	72	72	—	67.51	109.42
CLASS/cl_10_020_01	CLASS	20	1000×1000	6	6	—	83.47	9.89
CLASS/cl_10_020_02	CLASS	20	1000×1000	3	3	—	78.6	4.28
CLASS/cl_10_020_03	CLASS	20	1000×1000	4	5	+1	70.92	10.31
CLASS/cl_10_020_04	CLASS	20	1000×1000	4	5	+1	67.89	8.62
CLASS/cl_10_020_05	CLASS	20	1000×1000	4	4	—	78.85	7.6
CLASS/cl_10_020_06	CLASS	20	1000×1000	4	4	—	75.84	6.8
CLASS/cl_10_020_07	CLASS	20	1000×1000	5	5	—	78.6	4.2
CLASS/cl_10_020_08	CLASS	20	1000×1000	3	3	—	64.71	8.85
CLASS/cl_10_020_09	CLASS	20	1000×1000	5	6	+1	73.25	9.33
CLASS/cl_10_020_10	CLASS	20	1000×1000	2	3	+1	65.49	9.02
CLASS/cl_10_040_01	CLASS	40	1000×1000	8	8	—	87.85	15.75
CLASS/cl_10_040_02	CLASS	40	1000×1000	7	8	+1	82.57	14.18
CLASS/cl_10_040_03	CLASS	40	1000×1000	9	10	+1	79.64	16.61
CLASS/cl_10_040_04	CLASS	40	1000×1000	6	7	+1	78.38	17.59
CLASS/cl_10_040_05	CLASS	40	1000×1000	6	6	—	84.32	13.16
CLASS/cl_10_040_06	CLASS	40	1000×1000	5	6	+1	82.7	14.17
CLASS/cl_10_040_07	CLASS	40	1000×1000	7	8	+1	76.04	17.95
CLASS/cl_10_040_08	CLASS	40	1000×1000	7	7	—	87.14	10.7
CLASS/cl_10_040_09	CLASS	40	1000×1000	8	8	—	84.53	18.19
CLASS/cl_10_040_10	CLASS	40	1000×1000	9	9	—	79.6	18.33
CLASS/cl_10_060_01	CLASS	60	1000×1000	11	12	+1	85.99	30.52
CLASS/cl_10_060_02	CLASS	60	1000×1000	12	13	+1	83.82	29.27
CLASS/cl_10_060_03	CLASS	60	1000×1000	11	12	+1	85.49	25.28
CLASS/cl_10_060_04	CLASS	60	1000×1000	7	8	+1	86.76	24.84
CLASS/cl_10_060_05	CLASS	60	1000×1000	8	8	—	90.13	22.14
CLASS/cl_10_060_06	CLASS	60	1000×1000	12	13	+1	85.68	27.98
CLASS/cl_10_060_07	CLASS	60	1000×1000	10	10	—	89.75	29.54
CLASS/cl_10_060_08	CLASS	60	1000×1000	10	11	+1	81.44	29.55
CLASS/cl_10_060_09	CLASS	60	1000×1000	8	9	+1	87.9	25.45
CLASS/cl_10_060_10	CLASS	60	1000×1000	8	9	+1	81.19	25.33
CLASS/cl_10_080_01	CLASS	80	1000×1000	12	13	+1	90.3	39.3
CLASS/cl_10_080_02	CLASS	80	1000×1000	10	11	+1	88.91	35.87
CLASS/cl_10_080_03	CLASS	80	1000×1000	11	12	+1	84.2	41.33
CLASS/cl_10_080_04	CLASS	80	1000×1000	13	15	+2	86.27	37.41
CLASS/cl_10_080_05	CLASS	80	1000×1000	14	14	—	90.87	37.17
CLASS/cl_10_080_06	CLASS	80	1000×1000	13	14	+1	87.22	40.01
CLASS/cl_10_080_07	CLASS	80	1000×1000	14	15	+1	89.02	45.91
CLASS/cl_10_080_08	CLASS	80	1000×1000	10	11	+1	85.22	41.17
CLASS/cl_10_080_09	CLASS	80	1000×1000	12	13	+1	89.07	36.55
CLASS/cl_10_080_10	CLASS	80	1000×1000	14	15	+1	89.11	40.25
CLASS/cl_10_100_01	CLASS	100	1000×1000	14	15	+1	90.66	61.45
CLASS/cl_10_100_02	CLASS	100	1000×1000	15	16	+1	91.26	55.11
CLASS/cl_10_100_03	CLASS	100	1000×1000	15	17	+2	87.86	56.94
CLASS/cl_10_100_04	CLASS	100	1000×1000	17	18	+1	89.97	50.35
CLASS/cl_10_100_05	CLASS	100	1000×1000	17	18	+1	91.59	61.01
CLASS/cl_10_100_06	CLASS	100	1000×1000	13	14	+1	86.85	52.41
CLASS/cl_10_100_07	CLASS	100	1000×1000	13	15	+2	85.69	54.31
CLASS/cl_10_100_08	CLASS	100	1000×1000	18	19	+1	89.74	57.19
CLASS/cl_10_100_09	CLASS	100	1000×1000	16	17	+1	88.62	58.97
CLASS/cl_10_100_10	CLASS	100	1000×1000	15	16	+1	88.13	55.63
BENG/BENG01	BENG	20	2500×1000	4	4	—	74.1	7.22
BENG/BENG02	BENG	40	2500×1000	6	7	+1	81.14	14.97
BENG/BENG03	BENG	60	2500×1000	9	9	—	92.89	19.8
BENG/BENG04	BENG	80	2500×1000	11	11	—	97.2	27.61
BENG/BENG05	BENG	100	2500×1000	14	14	—	95.14	31.92
BENG/BENG06	BENG	40	1600×1000	2	2	—	71	17.68
BENG/BENG07	BENG	80	1600×1000	3	3	—	89.1	27.01
BENG/BENG08	BENG	120	1600×1000	5	5	—	80.54	67.09
BENG/BENG09	BENG	160	1600×1000	6	6	—	83.47	44.74
BENG/BENG10	BENG	200	1600×1000	7	7	—	88.81	49.61
A/A1	A	24	2750×1220	3	3	—	74.02	12.31
A/A10	A	44	2550×2100	2	2	—	92.21	23.32
A/A11	A	724	2550×2100	44	50	+6	86.66	364.37
A/A12	A	44	2550×2100	14	14	—	77.58	22.07
A/A13	A	304	2550×2100	12	15	+3	79.09	119.5
A/A14	A	809	2550×2100	65	70	+5	90.12	592.97
A/A15	A	339	2550×2100	38	41	+3	85.42	144.33
A/A16	A	744	2550×2100	81	85	+4	91.69	431.93
A/A17	A	135	2550×2100	5	5	—	89.15	30.45
A/A18	A	559	2550×2100	62	69	+7	85.59	372.53
A/A19	A	507	2550×2100	53	57	+4	89.35	284.11
A/A2	A	38	2750×1220	36	36	—	62.18	28.26
A/A20	A	215	2550×2100	25	26	+1	86.21	67.3
A/A21	A	450	2550×2100	26	29	+3	87.34	185.34
A/A22	A	24	2550×2100	3	3	—	64.45	8.37
A/A23	A	248	2550×2100	12	14	+2	84.29	80.48
A/A24	A	217	2550×2100	33	36	+3	85.83	84.8
A/A25	A	156	2550×2100	17	18	+1	88.59	50.33
A/A26	A	61	2550×2100	7	8	+1	79.85	24.72
A/A27	A	180	2550×2100	19	20	+1	89.78	60.96
A/A28	A	106	2550×2100	11	12	+1	82.55	61.31
A/A29	A	218	2550×2100	26	29	+3	87.22	84.68
A/A3	A	17	2750×1220	8	8	—	60.61	7.17
A/A30	A	39	2550×2100	4	4	—	82.15	11.3
A/A31	A	64	2550×2100	8	8	—	84.99	32.83
A/A32	A	184	2550×2100	26	28	+2	86.53	69.6
A/A33	A	309	2550×2100	34	36	+2	90.68	136.84
A/A34	A	46	2550×2100	5	6	+1	76.56	20.99
A/A35	A	144	2550×2100	16	17	+1	88.89	97.49
A/A36	A	52	2550×2100	9	9	—	72.11	24.89
A/A37	A	78	2550×2100	5	5	—	82.8	40.59
A/A38	A	160	2550×2100	21	24	+3	84.04	41.63
A/A39	A	22	2550×2100	3	4	+1	68.3	10.45
A/A4	A	16	2750×1220	3	3	—	72.59	6.88
A/A40	A	163	2750×1220	15	17	+2	84.31	43.33
A/A41	A	71	2750×1220	16	18	+2	78.39	36.73
A/A42	A	13	2750×1220	7	8	+1	55.17	6.32
A/A43	A	22	2750×1220	6	7	+1	67.69	7.58
A/A5	A	138	2470×2080	12	13	+1	85.81	90.09
A/A6	A	17	2750×1220	2	2	—	58.96	6.69
A/A7	A	58	2750×1220	13	14	+1	67.06	31.67
A/A8	A	16	2750×1220	2	2	—	35.92	5.97
A/A9	A	770	2550×2100	57	62	+5	88.29	474.53
CLASS-R/rcl_01_020_01	CLASS-R	20	1000×1000	7	7	—	79.86	3.27
CLASS-R/rcl_01_020_02	CLASS-R	20	1000×1000	7	7	—	88.14	3.62
CLASS-R/rcl_01_020_03	CLASS-R	20	1000×1000	7	7	—	78.71	6.77
CLASS-R/rcl_01_020_04	CLASS-R	20	1000×1000	7	8	+1	80.13	6.26
CLASS-R/rcl_01_020_05	CLASS-R	20	1000×1000	7	7	—	80.86	3.9
CLASS-R/rcl_01_020_06	CLASS-R	20	1000×1000	7	7	—	71	8.07
CLASS-R/rcl_01_020_07	CLASS-R	20	1000×1000	7	7	—	80.14	6.12
CLASS-R/rcl_01_020_08	CLASS-R	20	1000×1000	6	7	+1	69.14	7.51
CLASS-R/rcl_01_020_09	CLASS-R	20	1000×1000	6	6	—	85.83	5.88
CLASS-R/rcl_01_020_10	CLASS-R	20	1000×1000	10	10	—	69.4	8.4
CLASS-R/rcl_01_040_01	CLASS-R	40	1000×1000	16	16	—	87.25	16.18
CLASS-R/rcl_01_040_02	CLASS-R	40	1000×1000	13	13	—	92.23	14.43
CLASS-R/rcl_01_040_03	CLASS-R	40	1000×1000	14	15	+1	86.53	14.65
CLASS-R/rcl_01_040_04	CLASS-R	40	1000×1000	11	11	—	94.82	13.09
CLASS-R/rcl_01_040_05	CLASS-R	40	1000×1000	16	16	—	84	14.31
CLASS-R/rcl_01_040_06	CLASS-R	40	1000×1000	14	14	—	83.14	14.72
CLASS-R/rcl_01_040_07	CLASS-R	40	1000×1000	16	16	—	85.06	15.92
CLASS-R/rcl_01_040_08	CLASS-R	40	1000×1000	13	13	—	91.15	9.17
CLASS-R/rcl_01_040_09	CLASS-R	40	1000×1000	12	12	—	85.5	14.9
CLASS-R/rcl_01_040_10	CLASS-R	40	1000×1000	10	10	—	90.4	10.7
CLASS-R/rcl_01_060_01	CLASS-R	60	1000×1000	23	23	—	83.3	20.96
CLASS-R/rcl_01_060_02	CLASS-R	60	1000×1000	19	20	+1	88.75	20.59
CLASS-R/rcl_01_060_03	CLASS-R	60	1000×1000	17	18	+1	88.67	25.12
CLASS-R/rcl_01_060_04	CLASS-R	60	1000×1000	19	20	+1	88.85	24.1
CLASS-R/rcl_01_060_05	CLASS-R	60	1000×1000	21	22	+1	90.59	24.2
CLASS-R/rcl_01_060_06	CLASS-R	60	1000×1000	19	19	—	91.47	22.3
CLASS-R/rcl_01_060_07	CLASS-R	60	1000×1000	18	18	—	94.44	22.09
CLASS-R/rcl_01_060_08	CLASS-R	60	1000×1000	21	21	—	88.62	25.73
CLASS-R/rcl_01_060_09	CLASS-R	60	1000×1000	20	20	—	93.55	22.06
CLASS-R/rcl_01_060_10	CLASS-R	60	1000×1000	18	19	+1	90.89	25
CLASS-R/rcl_01_080_01	CLASS-R	80	1000×1000	27	28	+1	91.39	34.92
CLASS-R/rcl_01_080_02	CLASS-R	80	1000×1000	28	28	—	93.07	39.4
CLASS-R/rcl_01_080_03	CLASS-R	80	1000×1000	29	29	—	91.93	33.96
CLASS-R/rcl_01_080_04	CLASS-R	80	1000×1000	23	24	+1	94.46	28.13
CLASS-R/rcl_01_080_05	CLASS-R	80	1000×1000	28	29	+1	89.97	36.92
CLASS-R/rcl_01_080_06	CLASS-R	80	1000×1000	24	24	—	94.92	34.06
CLASS-R/rcl_01_080_07	CLASS-R	80	1000×1000	24	25	+1	91.04	36.82
CLASS-R/rcl_01_080_08	CLASS-R	80	1000×1000	28	28	—	93.64	33.12
CLASS-R/rcl_01_080_09	CLASS-R	80	1000×1000	22	23	+1	95.61	34.77
CLASS-R/rcl_01_080_10	CLASS-R	80	1000×1000	32	32	—	86.09	43.45
CLASS-R/rcl_01_100_01	CLASS-R	100	1000×1000	33	34	+1	91.79	54.39
CLASS-R/rcl_01_100_02	CLASS-R	100	1000×1000	35	35	—	89.6	51.58
CLASS-R/rcl_01_100_03	CLASS-R	100	1000×1000	29	29	—	93.97	42.75
CLASS-R/rcl_01_100_04	CLASS-R	100	1000×1000	37	37	—	90.3	51.16
CLASS-R/rcl_01_100_05	CLASS-R	100	1000×1000	32	32	—	95.5	44.43
CLASS-R/rcl_01_100_06	CLASS-R	100	1000×1000	32	32	—	93.31	51.71
CLASS-R/rcl_01_100_07	CLASS-R	100	1000×1000	38	38	—	86.61	50.43
CLASS-R/rcl_01_100_08	CLASS-R	100	1000×1000	40	40	—	85.22	69.04
CLASS-R/rcl_01_100_09	CLASS-R	100	1000×1000	30	31	+1	94.52	48.25
CLASS-R/rcl_01_100_10	CLASS-R	100	1000×1000	33	33	—	89.97	54.76
CLASS-R/rcl_02_020_01	CLASS-R	20	1020×1020	1	1	—	64.89	8.38
CLASS-R/rcl_02_020_02	CLASS-R	20	1020×1020	1	1	—	71.44	6.88
CLASS-R/rcl_02_020_03	CLASS-R	20	1020×1020	1	1	—	53.78	11.22
CLASS-R/rcl_02_020_04	CLASS-R	20	1020×1020	1	1	—	55	8.29
CLASS-R/rcl_02_020_05	CLASS-R	20	1020×1020	1	1	—	55.22	9.61
CLASS-R/rcl_02_020_06	CLASS-R	20	1020×1020	1	1	—	59.22	8.07
CLASS-R/rcl_02_020_07	CLASS-R	20	1020×1020	1	1	—	82.11	6.9
CLASS-R/rcl_02_020_08	CLASS-R	20	1020×1020	1	1	—	55.33	8.85
CLASS-R/rcl_02_020_09	CLASS-R	20	1020×1020	1	1	—	77.67	4.74
CLASS-R/rcl_02_020_10	CLASS-R	20	1020×1020	1	1	—	72.78	7.44
CLASS-R/rcl_02_040_01	CLASS-R	40	1020×1020	2	2	—	71.89	17.02
CLASS-R/rcl_02_040_02	CLASS-R	40	1020×1020	2	2	—	60.94	19.14
CLASS-R/rcl_02_040_03	CLASS-R	40	1020×1020	2	2	—	66.83	15.21
CLASS-R/rcl_02_040_04	CLASS-R	40	1020×1020	2	2	—	70.44	17.16
CLASS-R/rcl_02_040_05	CLASS-R	40	1020×1020	2	2	—	73.44	13.79
CLASS-R/rcl_02_040_06	CLASS-R	40	1020×1020	2	2	—	73.33	14.66
CLASS-R/rcl_02_040_07	CLASS-R	40	1020×1020	2	2	—	74.39	14.6
CLASS-R/rcl_02_040_08	CLASS-R	40	1020×1020	2	2	—	62.22	18.52
CLASS-R/rcl_02_040_09	CLASS-R	40	1020×1020	2	2	—	63.28	16.38
CLASS-R/rcl_02_040_10	CLASS-R	40	1020×1020	2	2	—	65	17.16
CLASS-R/rcl_02_060_01	CLASS-R	60	1020×1020	3	3	—	68.26	26.32
CLASS-R/rcl_02_060_02	CLASS-R	60	1020×1020	3	3	—	77.59	23.1
CLASS-R/rcl_02_060_03	CLASS-R	60	1020×1020	3	3	—	76.7	25.5
CLASS-R/rcl_02_060_04	CLASS-R	60	1020×1020	3	3	—	69.3	27.31
CLASS-R/rcl_02_060_05	CLASS-R	60	1020×1020	2	2	—	94.39	27.53
CLASS-R/rcl_02_060_06	CLASS-R	60	1020×1020	3	3	—	69.26	29.64
CLASS-R/rcl_02_060_07	CLASS-R	60	1020×1020	3	3	—	75.19	26.76
CLASS-R/rcl_02_060_08	CLASS-R	60	1020×1020	2	2	—	89.72	19.74
CLASS-R/rcl_02_060_09	CLASS-R	60	1020×1020	3	3	—	67.19	29.37
CLASS-R/rcl_02_060_10	CLASS-R	60	1020×1020	3	3	—	77.78	22.39
CLASS-R/rcl_02_080_01	CLASS-R	80	1020×1020	3	3	—	86	26.81
CLASS-R/rcl_02_080_02	CLASS-R	80	1020×1020	4	4	—	76.31	38.44
CLASS-R/rcl_02_080_03	CLASS-R	80	1020×1020	3	3	—	78.19	28.26
CLASS-R/rcl_02_080_04	CLASS-R	80	1020×1020	4	4	—	79.03	35.31
CLASS-R/rcl_02_080_05	CLASS-R	80	1020×1020	3	3	—	95.19	37.08
CLASS-R/rcl_02_080_06	CLASS-R	80	1020×1020	3	3	—	90.81	27.03
CLASS-R/rcl_02_080_07	CLASS-R	80	1020×1020	3	3	—	85.11	27.1
CLASS-R/rcl_02_080_08	CLASS-R	80	1020×1020	3	3	—	96.81	28.06
CLASS-R/rcl_02_080_09	CLASS-R	80	1020×1020	3	3	—	95	34.97
CLASS-R/rcl_02_080_10	CLASS-R	80	1020×1020	3	4	+1	74.89	35
CLASS-R/rcl_02_100_01	CLASS-R	100	1020×1020	4	4	—	81.94	39.68
CLASS-R/rcl_02_100_02	CLASS-R	100	1020×1020	4	4	—	80.64	34.3
CLASS-R/rcl_02_100_03	CLASS-R	100	1020×1020	5	5	—	85.6	34.79
CLASS-R/rcl_02_100_04	CLASS-R	100	1020×1020	4	4	—	78.56	44.61
CLASS-R/rcl_02_100_05	CLASS-R	100	1020×1020	5	5	—	80.31	51.71
CLASS-R/rcl_02_100_06	CLASS-R	100	1020×1020	4	4	—	79.19	45.82
CLASS-R/rcl_02_100_07	CLASS-R	100	1020×1020	4	4	—	88.75	35.2
CLASS-R/rcl_02_100_08	CLASS-R	100	1020×1020	3	3	—	96.33	42.57
CLASS-R/rcl_02_100_09	CLASS-R	100	1020×1020	4	4	—	83.72	39.44
CLASS-R/rcl_02_100_10	CLASS-R	100	1020×1020	4	4	—	86.17	35.15
CLASS-R/rcl_03_020_01	CLASS-R	20	1000×1000	8	8	—	64.97	8.99
CLASS-R/rcl_03_020_02	CLASS-R	20	1000×1000	6	6	—	69.77	4.46
CLASS-R/rcl_03_020_03	CLASS-R	20	1000×1000	4	5	+1	63.65	6.14
CLASS-R/rcl_03_020_04	CLASS-R	20	1000×1000	4	4	—	79.47	4.81
CLASS-R/rcl_03_020_05	CLASS-R	20	1000×1000	8	8	—	68.3	9.16
CLASS-R/rcl_03_020_06	CLASS-R	20	1000×1000	6	6	—	79.19	7.85
CLASS-R/rcl_03_020_07	CLASS-R	20	1000×1000	6	6	—	78.29	7.76
CLASS-R/rcl_03_020_08	CLASS-R	20	1000×1000	6	6	—	61.79	8
CLASS-R/rcl_03_020_09	CLASS-R	20	1000×1000	6	6	—	70.28	6.82
CLASS-R/rcl_03_020_10	CLASS-R	20	1000×1000	6	6	—	72.46	6.49
CLASS-R/rcl_03_040_01	CLASS-R	40	1000×1000	7	8	+1	77.16	14.02
CLASS-R/rcl_03_040_02	CLASS-R	40	1000×1000	8	9	+1	77.56	16.89
CLASS-R/rcl_03_040_03	CLASS-R	40	1000×1000	11	11	—	70.98	13.25
CLASS-R/rcl_03_040_04	CLASS-R	40	1000×1000	11	12	+1	76.86	16.77
CLASS-R/rcl_03_040_05	CLASS-R	40	1000×1000	13	14	+1	74.15	15.64
CLASS-R/rcl_03_040_06	CLASS-R	40	1000×1000	11	11	—	83.61	17.04
CLASS-R/rcl_03_040_07	CLASS-R	40	1000×1000	11	12	+1	78.7	12.62
CLASS-R/rcl_03_040_08	CLASS-R	40	1000×1000	9	9	—	79.33	15.82
CLASS-R/rcl_03_040_09	CLASS-R	40	1000×1000	7	8	+1	84.51	9.85
CLASS-R/rcl_03_040_10	CLASS-R	40	1000×1000	10	11	+1	74.55	14.88
CLASS-R/rcl_03_060_01	CLASS-R	60	1000×1000	12	13	+1	83.92	24.99
CLASS-R/rcl_03_060_02	CLASS-R	60	1000×1000	16	17	+1	79.96	25.42
CLASS-R/rcl_03_060_03	CLASS-R	60	1000×1000	12	13	+1	83.97	27.53
CLASS-R/rcl_03_060_04	CLASS-R	60	1000×1000	19	19	—	76.8	26.09
CLASS-R/rcl_03_060_05	CLASS-R	60	1000×1000	14	15	+1	79.28	25.82
CLASS-R/rcl_03_060_06	CLASS-R	60	1000×1000	14	14	—	83.34	23.73
CLASS-R/rcl_03_060_07	CLASS-R	60	1000×1000	14	15	+1	79.37	27.11
CLASS-R/rcl_03_060_08	CLASS-R	60	1000×1000	15	16	+1	77.75	25.13
CLASS-R/rcl_03_060_09	CLASS-R	60	1000×1000	13	14	+1	82.56	21.63
CLASS-R/rcl_03_060_10	CLASS-R	60	1000×1000	14	15	+1	81.99	24.99
CLASS-R/rcl_03_080_01	CLASS-R	80	1000×1000	23	23	—	75.25	40.75
CLASS-R/rcl_03_080_02	CLASS-R	80	1000×1000	21	22	+1	76.22	39.6
CLASS-R/rcl_03_080_03	CLASS-R	80	1000×1000	21	22	+1	81.46	39.87
CLASS-R/rcl_03_080_04	CLASS-R	80	1000×1000	23	24	+1	79.73	43.88
CLASS-R/rcl_03_080_05	CLASS-R	80	1000×1000	21	21	—	87.36	35.38
CLASS-R/rcl_03_080_06	CLASS-R	80	1000×1000	17	19	+2	85.5	46.14
CLASS-R/rcl_03_080_07	CLASS-R	80	1000×1000	19	19	—	84.85	42.24
CLASS-R/rcl_03_080_08	CLASS-R	80	1000×1000	16	16	—	84.88	33.61
CLASS-R/rcl_03_080_09	CLASS-R	80	1000×1000	19	20	+1	83.05	37.52
CLASS-R/rcl_03_080_10	CLASS-R	80	1000×1000	19	20	+1	86.71	34.12
CLASS-R/rcl_03_100_01	CLASS-R	100	1000×1000	23	23	—	85.1	46.62
CLASS-R/rcl_03_100_02	CLASS-R	100	1000×1000	22	23	+1	86.33	46.54
CLASS-R/rcl_03_100_03	CLASS-R	100	1000×1000	30	31	+1	79.85	61.1
CLASS-R/rcl_03_100_04	CLASS-R	100	1000×1000	22	23	+1	89.49	57.27
CLASS-R/rcl_03_100_05	CLASS-R	100	1000×1000	23	24	+1	85.5	50.7
CLASS-R/rcl_03_100_06	CLASS-R	100	1000×1000	21	24	+3	83	52.87
CLASS-R/rcl_03_100_07	CLASS-R	100	1000×1000	22	24	+2	86.23	52.4
CLASS-R/rcl_03_100_08	CLASS-R	100	1000×1000	22	24	+2	83.91	48.85
CLASS-R/rcl_03_100_09	CLASS-R	100	1000×1000	23	24	+1	86.9	58.32
CLASS-R/rcl_03_100_10	CLASS-R	100	1000×1000	18	20	+2	86.99	47.61
CLASS-R/rcl_04_020_01	CLASS-R	20	1000×1000	1	1	—	67.01	7.97
CLASS-R/rcl_04_020_02	CLASS-R	20	1000×1000	1	1	—	60.14	7.42
CLASS-R/rcl_04_020_03	CLASS-R	20	1000×1000	1	1	—	67.11	7.72
CLASS-R/rcl_04_020_04	CLASS-R	20	1000×1000	1	1	—	57.74	8.55
CLASS-R/rcl_04_020_05	CLASS-R	20	1000×1000	1	2	+1	43.84	10.98
CLASS-R/rcl_04_020_06	CLASS-R	20	1000×1000	1	1	—	42.75	9.7
CLASS-R/rcl_04_020_07	CLASS-R	20	1000×1000	1	1	—	47.78	9.66
CLASS-R/rcl_04_020_08	CLASS-R	20	1000×1000	1	1	—	69.64	7.83
CLASS-R/rcl_04_020_09	CLASS-R	20	1000×1000	1	1	—	67.49	7.38
CLASS-R/rcl_04_020_10	CLASS-R	20	1000×1000	1	1	—	71.1	7.13
CLASS-R/rcl_04_040_01	CLASS-R	40	1000×1000	2	2	—	79.32	14.3
CLASS-R/rcl_04_040_02	CLASS-R	40	1000×1000	2	2	—	63.68	19.16
CLASS-R/rcl_04_040_03	CLASS-R	40	1000×1000	2	2	—	62.73	20.16
CLASS-R/rcl_04_040_04	CLASS-R	40	1000×1000	2	2	—	57.52	18.86
CLASS-R/rcl_04_040_05	CLASS-R	40	1000×1000	2	2	—	73.39	15.99
CLASS-R/rcl_04_040_06	CLASS-R	40	1000×1000	2	2	—	60.87	20.53
CLASS-R/rcl_04_040_07	CLASS-R	40	1000×1000	2	2	—	57.55	22.6
CLASS-R/rcl_04_040_08	CLASS-R	40	1000×1000	2	2	—	71	14.22
CLASS-R/rcl_04_040_09	CLASS-R	40	1000×1000	2	2	—	50.53	23.8
CLASS-R/rcl_04_040_10	CLASS-R	40	1000×1000	2	2	—	72.31	18.6
CLASS-R/rcl_04_060_01	CLASS-R	60	1000×1000	2	2	—	90.66	31.76
CLASS-R/rcl_04_060_02	CLASS-R	60	1000×1000	3	3	—	67.39	34.42
CLASS-R/rcl_04_060_03	CLASS-R	60	1000×1000	2	3	+1	61.68	35.48
CLASS-R/rcl_04_060_04	CLASS-R	60	1000×1000	3	3	—	67.61	29.28
CLASS-R/rcl_04_060_05	CLASS-R	60	1000×1000	2	3	+1	63.62	37.6
CLASS-R/rcl_04_060_06	CLASS-R	60	1000×1000	3	3	—	70.01	31.32
CLASS-R/rcl_04_060_07	CLASS-R	60	1000×1000	2	2	—	89.83	31.68
CLASS-R/rcl_04_060_08	CLASS-R	60	1000×1000	3	3	—	76.21	29.69
CLASS-R/rcl_04_060_09	CLASS-R	60	1000×1000	3	3	—	69.69	28.87
CLASS-R/rcl_04_060_10	CLASS-R	60	1000×1000	2	2	—	88.49	33.19
CLASS-R/rcl_04_080_01	CLASS-R	80	1000×1000	3	3	—	86.85	28.66
CLASS-R/rcl_04_080_02	CLASS-R	80	1000×1000	3	3	—	92.49	38.31
CLASS-R/rcl_04_080_03	CLASS-R	80	1000×1000	3	3	—	77.37	36.87
CLASS-R/rcl_04_080_04	CLASS-R	80	1000×1000	3	3	—	86.56	33.61
CLASS-R/rcl_04_080_05	CLASS-R	80	1000×1000	3	3	—	92.54	38.74
CLASS-R/rcl_04_080_06	CLASS-R	80	1000×1000	3	3	—	77.9	37.81
CLASS-R/rcl_04_080_07	CLASS-R	80	1000×1000	3	3	—	75.46	40.93
CLASS-R/rcl_04_080_08	CLASS-R	80	1000×1000	3	3	—	90.18	42.49
CLASS-R/rcl_04_080_09	CLASS-R	80	1000×1000	3	3	—	74.3	37.05
CLASS-R/rcl_04_080_10	CLASS-R	80	1000×1000	4	4	—	75.05	40.4
CLASS-R/rcl_04_100_01	CLASS-R	100	1000×1000	4	4	—	85.3	45.58
CLASS-R/rcl_04_100_02	CLASS-R	100	1000×1000	4	4	—	83.3	47.88
CLASS-R/rcl_04_100_03	CLASS-R	100	1000×1000	4	4	—	90.62	54.97
CLASS-R/rcl_04_100_04	CLASS-R	100	1000×1000	4	4	—	83.77	47.24
CLASS-R/rcl_04_100_05	CLASS-R	100	1000×1000	4	4	—	81.93	46.21
CLASS-R/rcl_04_100_06	CLASS-R	100	1000×1000	4	4	—	79.29	46.51
CLASS-R/rcl_04_100_07	CLASS-R	100	1000×1000	4	4	—	84.1	44.72
CLASS-R/rcl_04_100_08	CLASS-R	100	1000×1000	4	4	—	80.95	46.98
CLASS-R/rcl_04_100_09	CLASS-R	100	1000×1000	4	4	—	94.26	41.6
CLASS-R/rcl_04_100_10	CLASS-R	100	1000×1000	4	4	—	81.66	48.15
CLASS-R/rcl_05_020_01	CLASS-R	20	1000×1000	8	8	—	65.92	8.36
CLASS-R/rcl_05_020_02	CLASS-R	20	1000×1000	7	8	+1	69.77	7.92
CLASS-R/rcl_05_020_03	CLASS-R	20	1000×1000	7	7	—	66.65	5.46
CLASS-R/rcl_05_020_04	CLASS-R	20	1000×1000	8	8	—	80.06	6.38
CLASS-R/rcl_05_020_05	CLASS-R	20	1000×1000	7	7	—	78.01	7.25
CLASS-R/rcl_05_020_06	CLASS-R	20	1000×1000	10	10	—	72.83	7.75
CLASS-R/rcl_05_020_07	CLASS-R	20	1000×1000	6	6	—	72.78	6.48
CLASS-R/rcl_05_020_08	CLASS-R	20	1000×1000	7	8	+1	72.89	4.61
CLASS-R/rcl_05_020_09	CLASS-R	20	1000×1000	6	6	—	78.71	8.23
CLASS-R/rcl_05_020_10	CLASS-R	20	1000×1000	6	6	—	77.7	6.78
CLASS-R/rcl_05_040_01	CLASS-R	40	1000×1000	11	12	+1	80.35	12.93
CLASS-R/rcl_05_040_02	CLASS-R	40	1000×1000	11	11	—	80.58	17.9
CLASS-R/rcl_05_040_03	CLASS-R	40	1000×1000	11	12	+1	75.5	14.61
CLASS-R/rcl_05_040_04	CLASS-R	40	1000×1000	15	15	—	81.78	16.44
CLASS-R/rcl_05_040_05	CLASS-R	40	1000×1000	10	11	+1	79.42	13.87
CLASS-R/rcl_05_040_06	CLASS-R	40	1000×1000	12	13	+1	68.65	21.32
CLASS-R/rcl_05_040_07	CLASS-R	40	1000×1000	12	13	+1	80.57	16.22
CLASS-R/rcl_05_040_08	CLASS-R	40	1000×1000	12	13	+1	76.06	19.57
CLASS-R/rcl_05_040_09	CLASS-R	40	1000×1000	12	12	—	81.32	13.72
CLASS-R/rcl_05_040_10	CLASS-R	40	1000×1000	11	11	—	81.18	12.21
CLASS-R/rcl_05_060_01	CLASS-R	60	1000×1000	17	18	+1	86.07	26.56
CLASS-R/rcl_05_060_02	CLASS-R	60	1000×1000	13	14	+1	85.47	22.31
CLASS-R/rcl_05_060_03	CLASS-R	60	1000×1000	21	22	+1	79.29	29.85
CLASS-R/rcl_05_060_04	CLASS-R	60	1000×1000	17	19	+2	79.25	31.01
CLASS-R/rcl_05_060_05	CLASS-R	60	1000×1000	13	15	+2	82.5	28.44
CLASS-R/rcl_05_060_06	CLASS-R	60	1000×1000	18	19	+1	81.84	29.58
CLASS-R/rcl_05_060_07	CLASS-R	60	1000×1000	19	20	+1	84.97	33.26
CLASS-R/rcl_05_060_08	CLASS-R	60	1000×1000	18	20	+2	80.2	24.75
CLASS-R/rcl_05_060_09	CLASS-R	60	1000×1000	21	23	+2	73.46	32.21
CLASS-R/rcl_05_060_10	CLASS-R	60	1000×1000	18	18	—	82.42	29.91
CLASS-R/rcl_05_080_01	CLASS-R	80	1000×1000	24	25	+1	77.2	43.73
CLASS-R/rcl_05_080_02	CLASS-R	80	1000×1000	21	22	+1	83.31	45.91
CLASS-R/rcl_05_080_03	CLASS-R	80	1000×1000	27	27	—	81.48	41.52
CLASS-R/rcl_05_080_04	CLASS-R	80	1000×1000	24	26	+2	80.72	46.57
CLASS-R/rcl_05_080_05	CLASS-R	80	1000×1000	27	28	+1	81.91	51.57
CLASS-R/rcl_05_080_06	CLASS-R	80	1000×1000	18	19	+1	89.36	50.1
CLASS-R/rcl_05_080_07	CLASS-R	80	1000×1000	19	22	+3	83.23	41.14
CLASS-R/rcl_05_080_08	CLASS-R	80	1000×1000	18	19	+1	82.42	43.48
CLASS-R/rcl_05_080_09	CLASS-R	80	1000×1000	21	21	—	89.58	41.21
CLASS-R/rcl_05_080_10	CLASS-R	80	1000×1000	29	29	—	83.69	62.14
CLASS-R/rcl_05_100_01	CLASS-R	100	1000×1000	38	39	+1	79.2	68.74
CLASS-R/rcl_05_100_02	CLASS-R	100	1000×1000	27	30	+3	86.34	64.18
CLASS-R/rcl_05_100_03	CLASS-R	100	1000×1000	24	26	+2	86.46	59.72
CLASS-R/rcl_05_100_04	CLASS-R	100	1000×1000	24	27	+3	83.97	62.95
CLASS-R/rcl_05_100_05	CLASS-R	100	1000×1000	30	33	+3	84.5	66.98
CLASS-R/rcl_05_100_06	CLASS-R	100	1000×1000	37	38	+1	79.34	64.81
CLASS-R/rcl_05_100_07	CLASS-R	100	1000×1000	31	33	+2	83.91	72.84
CLASS-R/rcl_05_100_08	CLASS-R	100	1000×1000	24	26	+2	87.37	56.8
CLASS-R/rcl_05_100_09	CLASS-R	100	1000×1000	29	30	+1	88.37	66.81
CLASS-R/rcl_05_100_10	CLASS-R	100	1000×1000	28	30	+2	84.47	58.08
CLASS-R/rcl_06_020_01	CLASS-R	20	1200×1200	1	1	—	57.43	7.43
CLASS-R/rcl_06_020_02	CLASS-R	20	1200×1200	1	1	—	57.48	9.76
CLASS-R/rcl_06_020_03	CLASS-R	20	1200×1200	1	1	—	56.36	8.6
CLASS-R/rcl_06_020_04	CLASS-R	20	1200×1200	1	1	—	81.74	7.25
CLASS-R/rcl_06_020_05	CLASS-R	20	1200×1200	1	1	—	57.58	9.69
CLASS-R/rcl_06_020_06	CLASS-R	20	1200×1200	1	1	—	50.63	9.65
CLASS-R/rcl_06_020_07	CLASS-R	20	1200×1200	1	1	—	74.96	6.85
CLASS-R/rcl_06_020_08	CLASS-R	20	1200×1200	1	1	—	40.94	10.18
CLASS-R/rcl_06_020_09	CLASS-R	20	1200×1200	1	1	—	53.08	10.17
CLASS-R/rcl_06_020_10	CLASS-R	20	1200×1200	1	1	—	65.58	7.11
CLASS-R/rcl_06_040_01	CLASS-R	40	1200×1200	2	2	—	63.81	20.55
CLASS-R/rcl_06_040_02	CLASS-R	40	1200×1200	2	2	—	64.23	25.45
CLASS-R/rcl_06_040_03	CLASS-R	40	1200×1200	2	2	—	63.83	21.51
CLASS-R/rcl_06_040_04	CLASS-R	40	1200×1200	2	2	—	63.14	20.62
CLASS-R/rcl_06_040_05	CLASS-R	40	1200×1200	2	2	—	61.73	20.98
CLASS-R/rcl_06_040_06	CLASS-R	40	1200×1200	2	2	—	54.45	26.28
CLASS-R/rcl_06_040_07	CLASS-R	40	1200×1200	2	2	—	57.82	21.07
CLASS-R/rcl_06_040_08	CLASS-R	40	1200×1200	2	2	—	62.85	19.06
CLASS-R/rcl_06_040_09	CLASS-R	40	1200×1200	2	2	—	65.03	18.95
CLASS-R/rcl_06_040_10	CLASS-R	40	1200×1200	1	1	—	80.94	21.62
CLASS-R/rcl_06_060_01	CLASS-R	60	1200×1200	2	2	—	81.65	25.93
CLASS-R/rcl_06_060_02	CLASS-R	60	1200×1200	2	3	+1	62.73	34.14
CLASS-R/rcl_06_060_03	CLASS-R	60	1200×1200	3	3	—	69.88	35.79
CLASS-R/rcl_06_060_04	CLASS-R	60	1200×1200	2	2	—	80.03	31.96
CLASS-R/rcl_06_060_05	CLASS-R	60	1200×1200	3	3	—	68.97	34.23
CLASS-R/rcl_06_060_06	CLASS-R	60	1200×1200	2	2	—	72	50.81
CLASS-R/rcl_06_060_07	CLASS-R	60	1200×1200	2	2	—	75.9	29.93
CLASS-R/rcl_06_060_08	CLASS-R	60	1200×1200	3	3	—	69.45	31.59
CLASS-R/rcl_06_060_09	CLASS-R	60	1200×1200	2	2	—	64.4	33.45
CLASS-R/rcl_06_060_10	CLASS-R	60	1200×1200	2	2	—	84.05	25.63
CLASS-R/rcl_06_080_01	CLASS-R	80	1200×1200	3	3	—	80.68	41.31
CLASS-R/rcl_06_080_02	CLASS-R	80	1200×1200	3	3	—	82.9	40.21
CLASS-R/rcl_06_080_03	CLASS-R	80	1200×1200	3	3	—	81	41.05
CLASS-R/rcl_06_080_04	CLASS-R	80	1200×1200	3	3	—	82.92	43.31
CLASS-R/rcl_06_080_05	CLASS-R	80	1200×1200	2	2	—	72.81	41.79
CLASS-R/rcl_06_080_06	CLASS-R	80	1200×1200	3	3	—	76.32	41.32
CLASS-R/rcl_06_080_07	CLASS-R	80	1200×1200	2	3	+1	65.81	51.43
CLASS-R/rcl_06_080_08	CLASS-R	80	1200×1200	3	3	—	80.68	42.56
CLASS-R/rcl_06_080_09	CLASS-R	80	1200×1200	3	3	—	70.56	47.65
CLASS-R/rcl_06_080_10	CLASS-R	80	1200×1200	3	3	—	82.22	40.05
CLASS-R/rcl_06_100_01	CLASS-R	100	1200×1200	3	3	—	91.08	61.98
CLASS-R/rcl_06_100_02	CLASS-R	100	1200×1200	3	3	—	77.08	56.5
CLASS-R/rcl_06_100_03	CLASS-R	100	1200×1200	3	3	—	80.77	57.26
CLASS-R/rcl_06_100_04	CLASS-R	100	1200×1200	4	4	—	78.79	56.16
CLASS-R/rcl_06_100_05	CLASS-R	100	1200×1200	3	3	—	81.93	53.71
CLASS-R/rcl_06_100_06	CLASS-R	100	1200×1200	3	3	—	88.28	41.92
CLASS-R/rcl_06_100_07	CLASS-R	100	1200×1200	4	4	—	78.69	56.22
CLASS-R/rcl_06_100_08	CLASS-R	100	1200×1200	3	3	—	77.9	54.52
CLASS-R/rcl_06_100_09	CLASS-R	100	1200×1200	4	4	—	84.69	54.77
CLASS-R/rcl_06_100_10	CLASS-R	100	1200×1200	3	3	—	91.03	58.92
CLASS-R/rcl_07_020_01	CLASS-R	20	1000×1000	7	7	—	79.81	5.19
CLASS-R/rcl_07_020_02	CLASS-R	20	1000×1000	6	6	—	84.77	4.42
CLASS-R/rcl_07_020_03	CLASS-R	20	1000×1000	7	8	+1	65.66	8.88
CLASS-R/rcl_07_020_04	CLASS-R	20	1000×1000	6	7	+1	70.75	8.03
CLASS-R/rcl_07_020_05	CLASS-R	20	1000×1000	5	6	+1	67.88	6.95
CLASS-R/rcl_07_020_06	CLASS-R	20	1000×1000	6	6	—	76.86	6.07
CLASS-R/rcl_07_020_07	CLASS-R	20	1000×1000	5	6	+1	76.17	5.84
CLASS-R/rcl_07_020_08	CLASS-R	20	1000×1000	5	6	+1	69.97	8.09
CLASS-R/rcl_07_020_09	CLASS-R	20	1000×1000	7	7	—	77.7	5.65
CLASS-R/rcl_07_020_10	CLASS-R	20	1000×1000	6	7	+1	72.36	5.87
CLASS-R/rcl_07_040_01	CLASS-R	40	1000×1000	11	12	+1	81.44	19.28
CLASS-R/rcl_07_040_02	CLASS-R	40	1000×1000	9	10	+1	80.23	11.25
CLASS-R/rcl_07_040_03	CLASS-R	40	1000×1000	9	10	+1	82.23	14.36
CLASS-R/rcl_07_040_04	CLASS-R	40	1000×1000	10	10	—	86.42	17.98
CLASS-R/rcl_07_040_05	CLASS-R	40	1000×1000	10	11	+1	77.99	11.83
CLASS-R/rcl_07_040_06	CLASS-R	40	1000×1000	12	12	—	82.42	15.54
CLASS-R/rcl_07_040_07	CLASS-R	40	1000×1000	12	12	—	75.98	15.61
CLASS-R/rcl_07_040_08	CLASS-R	40	1000×1000	10	10	—	83.63	17.41
CLASS-R/rcl_07_040_09	CLASS-R	40	1000×1000	12	12	—	77.26	12.91
CLASS-R/rcl_07_040_10	CLASS-R	40	1000×1000	12	12	—	80.72	12.63
CLASS-R/rcl_07_060_01	CLASS-R	60	1000×1000	16	17	+1	80.01	24.69
CLASS-R/rcl_07_060_02	CLASS-R	60	1000×1000	13	14	+1	83.35	28.5
CLASS-R/rcl_07_060_03	CLASS-R	60	1000×1000	21	21	—	81.99	25.78
CLASS-R/rcl_07_060_04	CLASS-R	60	1000×1000	18	18	—	82.25	23.53
CLASS-R/rcl_07_060_05	CLASS-R	60	1000×1000	17	17	—	78.91	21.88
CLASS-R/rcl_07_060_06	CLASS-R	60	1000×1000	17	17	—	81.63	24.71
CLASS-R/rcl_07_060_07	CLASS-R	60	1000×1000	17	17	—	82.24	25.08
CLASS-R/rcl_07_060_08	CLASS-R	60	1000×1000	18	18	—	80.34	21.54
CLASS-R/rcl_07_060_09	CLASS-R	60	1000×1000	16	17	+1	80.63	24.4
CLASS-R/rcl_07_060_10	CLASS-R	60	1000×1000	14	15	+1	83.77	30.42
CLASS-R/rcl_07_080_01	CLASS-R	80	1000×1000	21	21	—	81.85	40.44
CLASS-R/rcl_07_080_02	CLASS-R	80	1000×1000	23	23	—	84.94	36.41
CLASS-R/rcl_07_080_03	CLASS-R	80	1000×1000	22	23	+1	83.15	42.41
CLASS-R/rcl_07_080_04	CLASS-R	80	1000×1000	19	19	—	85.37	35.23
CLASS-R/rcl_07_080_05	CLASS-R	80	1000×1000	21	22	+1	86.11	36.99
CLASS-R/rcl_07_080_06	CLASS-R	80	1000×1000	22	23	+1	84.57	35.8
CLASS-R/rcl_07_080_07	CLASS-R	80	1000×1000	25	27	+2	81.25	40.19
CLASS-R/rcl_07_080_08	CLASS-R	80	1000×1000	21	22	+1	82.51	43.88
CLASS-R/rcl_07_080_09	CLASS-R	80	1000×1000	20	21	+1	87.62	40.9
CLASS-R/rcl_07_080_10	CLASS-R	80	1000×1000	21	22	+1	89.16	42.2
CLASS-R/rcl_07_100_01	CLASS-R	100	1000×1000	26	27	+1	84.33	61.22
CLASS-R/rcl_07_100_02	CLASS-R	100	1000×1000	23	25	+2	85.4	54.73
CLASS-R/rcl_07_100_03	CLASS-R	100	1000×1000	28	29	+1	82.45	56.49
CLASS-R/rcl_07_100_04	CLASS-R	100	1000×1000	28	30	+2	83.33	61.9
CLASS-R/rcl_07_100_05	CLASS-R	100	1000×1000	24	25	+1	83.56	50.59
CLASS-R/rcl_07_100_06	CLASS-R	100	1000×1000	26	26	—	84.22	56.06
CLASS-R/rcl_07_100_07	CLASS-R	100	1000×1000	26	27	+1	84.54	54.76
CLASS-R/rcl_07_100_08	CLASS-R	100	1000×1000	30	30	—	89.35	59.14
CLASS-R/rcl_07_100_09	CLASS-R	100	1000×1000	28	28	—	81.75	53.54
CLASS-R/rcl_07_100_10	CLASS-R	100	1000×1000	26	27	+1	86.16	51.13
CLASS-R/rcl_08_020_01	CLASS-R	20	1000×1000	5	5	—	77.1	6.83
CLASS-R/rcl_08_020_02	CLASS-R	20	1000×1000	6	6	—	65.75	6.36
CLASS-R/rcl_08_020_03	CLASS-R	20	1000×1000	7	7	—	73.66	5.91
CLASS-R/rcl_08_020_04	CLASS-R	20	1000×1000	7	8	+1	75.23	7.15
CLASS-R/rcl_08_020_05	CLASS-R	20	1000×1000	8	8	—	77.87	6.38
CLASS-R/rcl_08_020_06	CLASS-R	20	1000×1000	6	6	—	75.4	8.36
CLASS-R/rcl_08_020_07	CLASS-R	20	1000×1000	9	9	—	76.31	8.34
CLASS-R/rcl_08_020_08	CLASS-R	20	1000×1000	7	7	—	78.83	7.35
CLASS-R/rcl_08_020_09	CLASS-R	20	1000×1000	5	6	+1	75.82	6.43
CLASS-R/rcl_08_020_10	CLASS-R	20	1000×1000	4	4	—	81.77	7.55
CLASS-R/rcl_08_040_01	CLASS-R	40	1000×1000	10	11	+1	77.92	16.49
CLASS-R/rcl_08_040_02	CLASS-R	40	1000×1000	12	12	—	80	17.89
CLASS-R/rcl_08_040_03	CLASS-R	40	1000×1000	11	11	—	82.67	20.78
CLASS-R/rcl_08_040_04	CLASS-R	40	1000×1000	10	11	+1	74.86	20.41
CLASS-R/rcl_08_040_05	CLASS-R	40	1000×1000	10	11	+1	80.71	16.11
CLASS-R/rcl_08_040_06	CLASS-R	40	1000×1000	11	12	+1	76.83	13.87
CLASS-R/rcl_08_040_07	CLASS-R	40	1000×1000	11	12	+1	80.94	17.78
CLASS-R/rcl_08_040_08	CLASS-R	40	1000×1000	12	13	+1	74.38	21.26
CLASS-R/rcl_08_040_09	CLASS-R	40	1000×1000	10	10	—	85.45	19.99
CLASS-R/rcl_08_040_10	CLASS-R	40	1000×1000	10	11	+1	84.16	16.32
CLASS-R/rcl_08_060_01	CLASS-R	60	1000×1000	17	18	+1	83.44	32.92
CLASS-R/rcl_08_060_02	CLASS-R	60	1000×1000	17	17	—	81.58	31.85
CLASS-R/rcl_08_060_03	CLASS-R	60	1000×1000	17	17	—	84.08	32.89
CLASS-R/rcl_08_060_04	CLASS-R	60	1000×1000	17	17	—	82.05	30.65
CLASS-R/rcl_08_060_05	CLASS-R	60	1000×1000	17	18	+1	81.36	26.92
CLASS-R/rcl_08_060_06	CLASS-R	60	1000×1000	14	15	+1	79.81	30.02
CLASS-R/rcl_08_060_07	CLASS-R	60	1000×1000	18	18	—	81.46	33.99
CLASS-R/rcl_08_060_08	CLASS-R	60	1000×1000	17	18	+1	81.81	29.3
CLASS-R/rcl_08_060_09	CLASS-R	60	1000×1000	15	15	—	86.63	29.68
CLASS-R/rcl_08_060_10	CLASS-R	60	1000×1000	20	20	—	83.1	31.15
CLASS-R/rcl_08_080_01	CLASS-R	80	1000×1000	26	27	+1	81.87	47.71
CLASS-R/rcl_08_080_02	CLASS-R	80	1000×1000	19	20	+1	82.71	45.63
CLASS-R/rcl_08_080_03	CLASS-R	80	1000×1000	24	24	—	85.09	42.09
CLASS-R/rcl_08_080_04	CLASS-R	80	1000×1000	19	20	+1	81.66	41.22
CLASS-R/rcl_08_080_05	CLASS-R	80	1000×1000	22	23	+1	82.7	47.16
CLASS-R/rcl_08_080_06	CLASS-R	80	1000×1000	21	22	+1	83.25	43.03
CLASS-R/rcl_08_080_07	CLASS-R	80	1000×1000	19	19	—	85.7	53.18
CLASS-R/rcl_08_080_08	CLASS-R	80	1000×1000	22	23	+1	83.65	48.02
CLASS-R/rcl_08_080_09	CLASS-R	80	1000×1000	25	26	+1	80.05	46.58
CLASS-R/rcl_08_080_10	CLASS-R	80	1000×1000	21	21	—	84.08	47.44
CLASS-R/rcl_08_100_01	CLASS-R	100	1000×1000	26	27	+1	83.04	73.54
CLASS-R/rcl_08_100_02	CLASS-R	100	1000×1000	27	29	+2	83.13	64.94
CLASS-R/rcl_08_100_03	CLASS-R	100	1000×1000	27	27	—	88.67	63.44
CLASS-R/rcl_08_100_04	CLASS-R	100	1000×1000	29	30	+1	82.08	71.6
CLASS-R/rcl_08_100_05	CLASS-R	100	1000×1000	22	22	—	86.84	65.94
CLASS-R/rcl_08_100_06	CLASS-R	100	1000×1000	28	30	+2	81.23	63.41
CLASS-R/rcl_08_100_07	CLASS-R	100	1000×1000	23	24	+1	82.69	64.03
CLASS-R/rcl_08_100_08	CLASS-R	100	1000×1000	23	24	+1	83.04	60.67
CLASS-R/rcl_08_100_09	CLASS-R	100	1000×1000	26	27	+1	87.52	61.89
CLASS-R/rcl_08_100_10	CLASS-R	100	1000×1000	29	30	+1	82.75	65.08
CLASS-R/rcl_09_020_01	CLASS-R	20	1000×1000	13	13	—	71.03	8.48
CLASS-R/rcl_09_020_02	CLASS-R	20	1000×1000	14	14	—	54.71	10.79
CLASS-R/rcl_09_020_03	CLASS-R	20	1000×1000	15	15	—	65.76	9.01
CLASS-R/rcl_09_020_04	CLASS-R	20	1000×1000	12	12	—	64.81	10.29
CLASS-R/rcl_09_020_05	CLASS-R	20	1000×1000	16	16	—	70.41	8.79
CLASS-R/rcl_09_020_06	CLASS-R	20	1000×1000	12	13	+1	61.84	8.09
CLASS-R/rcl_09_020_07	CLASS-R	20	1000×1000	10	10	—	74.22	9.53
CLASS-R/rcl_09_020_08	CLASS-R	20	1000×1000	15	15	—	60.05	8.35
CLASS-R/rcl_09_020_09	CLASS-R	20	1000×1000	16	16	—	67.09	10.77
CLASS-R/rcl_09_020_10	CLASS-R	20	1000×1000	15	15	—	62.04	9.25
CLASS-R/rcl_09_040_01	CLASS-R	40	1000×1000	29	29	—	67.99	26.61
CLASS-R/rcl_09_040_02	CLASS-R	40	1000×1000	34	35	+1	58.81	26.6
CLASS-R/rcl_09_040_03	CLASS-R	40	1000×1000	24	24	—	73.36	19.28
CLASS-R/rcl_09_040_04	CLASS-R	40	1000×1000	30	30	—	58.16	27.14
CLASS-R/rcl_09_040_05	CLASS-R	40	1000×1000	27	27	—	68.11	26.56
CLASS-R/rcl_09_040_06	CLASS-R	40	1000×1000	31	32	+1	57.66	29.46
CLASS-R/rcl_09_040_07	CLASS-R	40	1000×1000	26	27	+1	66.59	21.61
CLASS-R/rcl_09_040_08	CLASS-R	40	1000×1000	25	26	+1	67.8	20.79
CLASS-R/rcl_09_040_09	CLASS-R	40	1000×1000	21	21	—	67.33	20.24
CLASS-R/rcl_09_040_10	CLASS-R	40	1000×1000	27	27	—	67.58	21.04
CLASS-R/rcl_09_060_01	CLASS-R	60	1000×1000	48	48	—	63.98	51.85
CLASS-R/rcl_09_060_02	CLASS-R	60	1000×1000	47	47	—	60.7	41.33
CLASS-R/rcl_09_060_03	CLASS-R	60	1000×1000	43	43	—	63.46	48.85
CLASS-R/rcl_09_060_04	CLASS-R	60	1000×1000	45	45	—	57.3	46.84
CLASS-R/rcl_09_060_05	CLASS-R	60	1000×1000	42	42	—	66.51	42.76
CLASS-R/rcl_09_060_06	CLASS-R	60	1000×1000	41	41	—	62.88	43.25
CLASS-R/rcl_09_060_07	CLASS-R	60	1000×1000	45	45	—	63.81	35.46
CLASS-R/rcl_09_060_08	CLASS-R	60	1000×1000	36	36	—	62.83	39.24
CLASS-R/rcl_09_060_09	CLASS-R	60	1000×1000	37	37	—	66.06	42.62
CLASS-R/rcl_09_060_10	CLASS-R	60	1000×1000	46	46	—	59.42	51.21
CLASS-R/rcl_09_080_01	CLASS-R	80	1000×1000	56	56	—	64.08	64.06
CLASS-R/rcl_09_080_02	CLASS-R	80	1000×1000	58	58	—	62.37	82.98
CLASS-R/rcl_09_080_03	CLASS-R	80	1000×1000	57	58	+1	65.08	72.67
CLASS-R/rcl_09_080_04	CLASS-R	80	1000×1000	61	61	—	62.89	71.54
CLASS-R/rcl_09_080_05	CLASS-R	80	1000×1000	55	55	—	59.41	69.65
CLASS-R/rcl_09_080_06	CLASS-R	80	1000×1000	52	52	—	65	67.08
CLASS-R/rcl_09_080_07	CLASS-R	80	1000×1000	46	47	+1	66.53	70.81
CLASS-R/rcl_09_080_08	CLASS-R	80	1000×1000	55	56	+1	62.87	67.6
CLASS-R/rcl_09_080_09	CLASS-R	80	1000×1000	51	51	—	65.55	72.84
CLASS-R/rcl_09_080_10	CLASS-R	80	1000×1000	55	55	—	64.55	57.63
CLASS-R/rcl_09_100_01	CLASS-R	100	1000×1000	72	72	—	63.16	103.02
CLASS-R/rcl_09_100_02	CLASS-R	100	1000×1000	62	62	—	65.03	86.7
CLASS-R/rcl_09_100_03	CLASS-R	100	1000×1000	73	73	—	66.51	107.25
CLASS-R/rcl_09_100_04	CLASS-R	100	1000×1000	64	64	—	64.7	96.05
CLASS-R/rcl_09_100_05	CLASS-R	100	1000×1000	69	69	—	60.12	110.26
CLASS-R/rcl_09_100_06	CLASS-R	100	1000×1000	65	65	—	64.55	102.37
CLASS-R/rcl_09_100_07	CLASS-R	100	1000×1000	76	76	—	63.25	94.15
CLASS-R/rcl_09_100_08	CLASS-R	100	1000×1000	68	69	+1	62.24	108.1
CLASS-R/rcl_09_100_09	CLASS-R	100	1000×1000	80	80	—	60.35	123.89
CLASS-R/rcl_09_100_10	CLASS-R	100	1000×1000	76	77	+1	62.55	103.18
CLASS-R/rcl_10_020_01	CLASS-R	20	1000×1000	4	4	—	82.23	6.87
CLASS-R/rcl_10_020_02	CLASS-R	20	1000×1000	3	3	—	77.69	5.49
CLASS-R/rcl_10_020_03	CLASS-R	20	1000×1000	5	6	+1	74.29	8.8
CLASS-R/rcl_10_020_04	CLASS-R	20	1000×1000	4	4	—	86.98	7.03
CLASS-R/rcl_10_020_05	CLASS-R	20	1000×1000	4	4	—	75.26	6.45
CLASS-R/rcl_10_020_06	CLASS-R	20	1000×1000	3	4	+1	65.4	6.77
CLASS-R/rcl_10_020_07	CLASS-R	20	1000×1000	5	6	+1	63.71	9.9
CLASS-R/rcl_10_020_08	CLASS-R	20	1000×1000	3	3	—	89.19	7.43
CLASS-R/rcl_10_020_09	CLASS-R	20	1000×1000	2	2	—	83.38	7.67
CLASS-R/rcl_10_020_10	CLASS-R	20	1000×1000	3	3	—	79.43	6.59
CLASS-R/rcl_10_040_01	CLASS-R	40	1000×1000	6	6	—	88.59	16.7
CLASS-R/rcl_10_040_02	CLASS-R	40	1000×1000	5	6	+1	69.74	17.51
CLASS-R/rcl_10_040_03	CLASS-R	40	1000×1000	5	6	+1	81.77	13.95
CLASS-R/rcl_10_040_04	CLASS-R	40	1000×1000	6	7	+1	79.92	16.76
CLASS-R/rcl_10_040_05	CLASS-R	40	1000×1000	6	6	—	86.58	15.09
CLASS-R/rcl_10_040_06	CLASS-R	40	1000×1000	5	5	—	84.64	19.31
CLASS-R/rcl_10_040_07	CLASS-R	40	1000×1000	7	7	—	86.77	17.17
CLASS-R/rcl_10_040_08	CLASS-R	40	1000×1000	9	10	+1	78.8	16.02
CLASS-R/rcl_10_040_09	CLASS-R	40	1000×1000	7	7	—	85.17	11.25
CLASS-R/rcl_10_040_10	CLASS-R	40	1000×1000	6	7	+1	82.6	16.81
CLASS-R/rcl_10_060_01	CLASS-R	60	1000×1000	10	10	—	89.07	24.99
CLASS-R/rcl_10_060_02	CLASS-R	60	1000×1000	10	11	+1	89.2	25.45
CLASS-R/rcl_10_060_03	CLASS-R	60	1000×1000	9	10	+1	83.86	24.85
CLASS-R/rcl_10_060_04	CLASS-R	60	1000×1000	8	9	+1	82.06	24.38
CLASS-R/rcl_10_060_05	CLASS-R	60	1000×1000	7	8	+1	80.25	26.42
CLASS-R/rcl_10_060_06	CLASS-R	60	1000×1000	11	12	+1	89.18	31.78
CLASS-R/rcl_10_060_07	CLASS-R	60	1000×1000	10	11	+1	84.06	31.21
CLASS-R/rcl_10_060_08	CLASS-R	60	1000×1000	16	16	—	78.76	32.21
CLASS-R/rcl_10_060_09	CLASS-R	60	1000×1000	6	7	+1	83.12	25.15
CLASS-R/rcl_10_060_10	CLASS-R	60	1000×1000	7	8	+1	83.73	24.47
CLASS-R/rcl_10_080_01	CLASS-R	80	1000×1000	9	10	+1	86.97	29.42
CLASS-R/rcl_10_080_02	CLASS-R	80	1000×1000	13	14	+1	89.1	37.24
CLASS-R/rcl_10_080_03	CLASS-R	80	1000×1000	14	15	+1	90.02	42.9
CLASS-R/rcl_10_080_04	CLASS-R	80	1000×1000	12	13	+1	91.08	36.54
CLASS-R/rcl_10_080_05	CLASS-R	80	1000×1000	11	12	+1	85.88	38.98
CLASS-R/rcl_10_080_06	CLASS-R	80	1000×1000	15	16	+1	83.72	36.9
CLASS-R/rcl_10_080_07	CLASS-R	80	1000×1000	12	13	+1	85.48	37.54
CLASS-R/rcl_10_080_08	CLASS-R	80	1000×1000	11	12	+1	85.03	40.2
CLASS-R/rcl_10_080_09	CLASS-R	80	1000×1000	15	16	+1	88.68	39.67
CLASS-R/rcl_10_080_10	CLASS-R	80	1000×1000	11	12	+1	85.54	39
CLASS-R/rcl_10_100_01	CLASS-R	100	1000×1000	20	21	+1	85.89	58.35
CLASS-R/rcl_10_100_02	CLASS-R	100	1000×1000	16	17	+1	90.73	57.87
CLASS-R/rcl_10_100_03	CLASS-R	100	1000×1000	14	15	+1	87.23	54.59
CLASS-R/rcl_10_100_04	CLASS-R	100	1000×1000	14	15	+1	91.48	52.8
CLASS-R/rcl_10_100_05	CLASS-R	100	1000×1000	18	20	+2	85.81	64.95
CLASS-R/rcl_10_100_06	CLASS-R	100	1000×1000	17	19	+2	85.05	60.12
CLASS-R/rcl_10_100_07	CLASS-R	100	1000×1000	16	17	+1	91.29	54.94
CLASS-R/rcl_10_100_08	CLASS-R	100	1000×1000	14	15	+1	86.7	55.61
CLASS-R/rcl_10_100_09	CLASS-R	100	1000×1000	13	14	+1	92.59	49.49
CLASS-R/rcl_10_100_10	CLASS-R	100	1000×1000	14	15	+1	90.92	57.59
PERFECT2D/p_100x100_k2_n8_1	PERFECT2D	16	1000×1000	2	2	—	100	3.8
PERFECT2D/p_100x100_k2_n8_2	PERFECT2D	16	1000×1000	2	3	+1	66.67	4.4
PERFECT2D/p_100x100_k2_n16_1	PERFECT2D	32	1000×1000	2	3	+1	66.67	11.05
PERFECT2D/p_100x100_k2_n16_2	PERFECT2D	32	1000×1000	2	3	+1	66.67	12.75
PERFECT2D/p_100x100_k2_n30_1	PERFECT2D	60	1000×1000	2	3	+1	66.67	26.25
PERFECT2D/p_100x100_k2_n30_2	PERFECT2D	60	1000×1000	2	3	+1	66.67	28.59
PERFECT2D/p_100x100_k3_n8_1	PERFECT2D	24	1000×1000	3	4	+1	75	6.56
PERFECT2D/p_100x100_k3_n8_2	PERFECT2D	24	1000×1000	3	4	+1	75	7.41
PERFECT2D/p_100x100_k3_n16_1	PERFECT2D	48	1000×1000	3	4	+1	75	16.58
PERFECT2D/p_100x100_k3_n16_2	PERFECT2D	48	1000×1000	3	4	+1	75	17.28
PERFECT2D/p_100x100_k3_n30_1	PERFECT2D	90	1000×1000	3	4	+1	75	44.03
PERFECT2D/p_100x100_k3_n30_2	PERFECT2D	90	1000×1000	3	4	+1	75	50.94
PERFECT2D/p_100x100_k5_n8_1	PERFECT2D	40	1000×1000	5	6	+1	83.33	10.77
PERFECT2D/p_100x100_k5_n8_2	PERFECT2D	40	1000×1000	5	6	+1	83.33	11.69
PERFECT2D/p_100x100_k5_n16_1	PERFECT2D	80	1000×1000	5	6	+1	83.33	31.95
PERFECT2D/p_100x100_k5_n16_2	PERFECT2D	80	1000×1000	5	6	+1	83.33	40.47
PERFECT2D/p_100x100_k5_n30_1	PERFECT2D	150	1000×1000	5	6	+1	83.33	81.51
PERFECT2D/p_100x100_k5_n30_2	PERFECT2D	150	1000×1000	5	6	+1	83.33	83.66
PERFECT2D/p_120x80_k2_n8_1	PERFECT2D	16	1560×1040	2	3	+1	66.67	3.61
PERFECT2D/p_120x80_k2_n8_2	PERFECT2D	16	1560×1040	2	3	+1	66.67	4.88
PERFECT2D/p_120x80_k2_n16_1	PERFECT2D	32	1560×1040	2	3	+1	66.67	12.55
PERFECT2D/p_120x80_k2_n16_2	PERFECT2D	32	1560×1040	2	3	+1	66.67	11.31
PERFECT2D/p_120x80_k2_n30_1	PERFECT2D	60	1560×1040	2	3	+1	66.67	28.79
PERFECT2D/p_120x80_k2_n30_2	PERFECT2D	60	1560×1040	2	3	+1	66.67	28.06
PERFECT2D/p_120x80_k3_n8_1	PERFECT2D	24	1560×1040	3	4	+1	75	7.43
PERFECT2D/p_120x80_k3_n8_2	PERFECT2D	24	1560×1040	3	4	+1	75	9.02
PERFECT2D/p_120x80_k3_n16_1	PERFECT2D	48	1560×1040	3	4	+1	75	14.88
PERFECT2D/p_120x80_k3_n16_2	PERFECT2D	48	1560×1040	3	4	+1	75	16.36
PERFECT2D/p_120x80_k3_n30_1	PERFECT2D	90	1560×1040	3	4	+1	75	48.19
PERFECT2D/p_120x80_k3_n30_2	PERFECT2D	90	1560×1040	3	4	+1	75	42.48
PERFECT2D/p_120x80_k5_n8_1	PERFECT2D	40	1560×1040	5	6	+1	83.33	8.61
PERFECT2D/p_120x80_k5_n8_2	PERFECT2D	40	1560×1040	5	6	+1	83.33	11.24
PERFECT2D/p_120x80_k5_n16_1	PERFECT2D	80	1560×1040	5	6	+1	83.33	33.04
PERFECT2D/p_120x80_k5_n16_2	PERFECT2D	80	1560×1040	5	6	+1	83.33	32.04
PERFECT2D/p_120x80_k5_n30_1	PERFECT2D	150	1560×1040	5	6	+1	83.33	88
PERFECT2D/p_120x80_k5_n30_2	PERFECT2D	150	1560×1040	5	6	+1	83.33	86.98
PERFECT2D/p_250x150_k2_n8_1	PERFECT2D	16	1750×1050	2	3	+1	66.67	5.5
PERFECT2D/p_250x150_k2_n8_2	PERFECT2D	16	1750×1050	2	3	+1	66.67	4.99
PERFECT2D/p_250x150_k2_n16_1	PERFECT2D	32	1750×1050	2	3	+1	66.67	12.54
PERFECT2D/p_250x150_k2_n16_2	PERFECT2D	32	1750×1050	2	3	+1	66.67	10.63
PERFECT2D/p_250x150_k2_n30_1	PERFECT2D	60	1750×1050	2	3	+1	66.67	29.92
PERFECT2D/p_250x150_k2_n30_2	PERFECT2D	60	1750×1050	2	3	+1	66.67	30.07
PERFECT2D/p_250x150_k3_n8_1	PERFECT2D	24	1750×1050	3	4	+1	75	6.47
PERFECT2D/p_250x150_k3_n8_2	PERFECT2D	24	1750×1050	3	4	+1	75	6.98
PERFECT2D/p_250x150_k3_n16_1	PERFECT2D	48	1750×1050	3	4	+1	75	20.5
PERFECT2D/p_250x150_k3_n16_2	PERFECT2D	48	1750×1050	3	4	+1	75	19.23
PERFECT2D/p_250x150_k3_n30_1	PERFECT2D	90	1750×1050	3	4	+1	75	43.53
PERFECT2D/p_250x150_k3_n30_2	PERFECT2D	90	1750×1050	3	4	+1	75	49.68
PERFECT2D/p_250x150_k5_n8_1	PERFECT2D	40	1750×1050	5	7	+2	71.43	14.81
PERFECT2D/p_250x150_k5_n8_2	PERFECT2D	40	1750×1050	5	6	+1	83.33	8.86
PERFECT2D/p_250x150_k5_n16_1	PERFECT2D	80	1750×1050	5	6	+1	83.33	33.97
PERFECT2D/p_250x150_k5_n16_2	PERFECT2D	80	1750×1050	5	6	+1	83.33	34.59
PERFECT2D/p_250x150_k5_n30_1	PERFECT2D	150	1750×1050	5	6	+1	83.33	95.87
PERFECT2D/p_250x150_k5_n30_2	PERFECT2D	150	1750×1050	5	6	+1	83.33	90.32
PERFECT2D/p_300x300_k2_n8_1	PERFECT2D	16	1200×1200	2	2	—	100	4.19
PERFECT2D/p_300x300_k2_n8_2	PERFECT2D	16	1200×1200	2	3	+1	66.67	3.41
PERFECT2D/p_300x300_k2_n16_1	PERFECT2D	32	1200×1200	2	3	+1	66.67	11.62
PERFECT2D/p_300x300_k2_n16_2	PERFECT2D	32	1200×1200	2	3	+1	66.67	11.9
PERFECT2D/p_300x300_k2_n30_1	PERFECT2D	60	1200×1200	2	3	+1	66.67	29.61
PERFECT2D/p_300x300_k2_n30_2	PERFECT2D	60	1200×1200	2	3	+1	66.67	31.47
PERFECT2D/p_300x300_k3_n8_1	PERFECT2D	24	1200×1200	3	4	+1	75	6.85
PERFECT2D/p_300x300_k3_n8_2	PERFECT2D	24	1200×1200	3	4	+1	75	6.11
PERFECT2D/p_300x300_k3_n16_1	PERFECT2D	48	1200×1200	3	4	+1	75	18.53
PERFECT2D/p_300x300_k3_n16_2	PERFECT2D	48	1200×1200	3	4	+1	75	18.3
PERFECT2D/p_300x300_k3_n30_1	PERFECT2D	90	1200×1200	3	4	+1	75	46.08
PERFECT2D/p_300x300_k3_n30_2	PERFECT2D	90	1200×1200	3	4	+1	75	49.58
PERFECT2D/p_300x300_k5_n8_1	PERFECT2D	40	1200×1200	5	6	+1	83.33	11.55
PERFECT2D/p_300x300_k5_n8_2	PERFECT2D	40	1200×1200	5	6	+1	83.33	13.62
PERFECT2D/p_300x300_k5_n16_1	PERFECT2D	80	1200×1200	5	6	+1	83.33	31.67
PERFECT2D/p_300x300_k5_n16_2	PERFECT2D	80	1200×1200	5	6	+1	83.33	29.66
PERFECT2D/p_300x300_k5_n30_1	PERFECT2D	150	1200×1200	5	6	+1	83.33	94.05
PERFECT2D/p_300x300_k5_n30_2	PERFECT2D	150	1200×1200	5	6	+1	83.33	96.34
UNIF1D/u120_01	UNIF1D	120	1050	47	47	—	98.75	7.75
UNIF1D/u120_02	UNIF1D	120	1050	48	49	+1	97.65	5.49
UNIF1D/u120_03	UNIF1D	120	1050	48	49	+1	96.75	4.99
UNIF1D/u120_04	UNIF1D	120	1050	52	52	—	98.17	11.44
UNIF1D/u120_05	UNIF1D	120	1050	51	51	—	98.07	4.13
UNIF1D/u120_06	UNIF1D	120	1050	50	52	+2	95.91	4.52
UNIF1D/u120_07	UNIF1D	120	1050	51	52	+1	98.05	4.68
UNIF1D/u120_08	UNIF1D	120	1050	49	50	+1	97.43	4.14
UNIF1D/u120_09	UNIF1D	120	1050	51	52	+1	96.82	4.76
UNIF1D/u120_10	UNIF1D	120	1050	45	45	—	98.43	4.42
UNIF1D/u250_01	UNIF1D	250	1050	99	101	+2	97.9	19.47
UNIF1D/u250_02	UNIF1D	250	1050	102	104	+2	97.53	18.79
UNIF1D/u250_03	UNIF1D	250	1050	95	95	—	99.16	19.77
UNIF1D/u250_04	UNIF1D	250	1050	102	103	+1	98.52	22.85
UNIF1D/u250_05	UNIF1D	250	1050	104	106	+2	98.09	19.32
UNIF1D/u250_06	UNIF1D	250	1050	101	103	+2	97.61	19.05
UNIF1D/u250_07	UNIF1D	250	1050	100	100	—	99.25	16.68
UNIF1D/u250_08	UNIF1D	250	1050	105	106	+1	98.41	18.45
UNIF1D/u250_09	UNIF1D	250	1050	102	103	+1	98.43	21.17
UNIF1D/u250_10	UNIF1D	250	1050	98	100	+2	97.61	18.34
UNIF1D/u500_01	UNIF1D	500	1050	199	200	+1	99.44	79.63
UNIF1D/u500_02	UNIF1D	500	1050	196	196	—	99.94	80.92
UNIF1D/u500_03	UNIF1D	500	1050	204	206	+2	98.63	79.14
UNIF1D/u500_04	UNIF1D	500	1050	196	198	+2	98.95	79.26
UNIF1D/u500_05	UNIF1D	500	1050	199	199	—	99.67	78.27
UNIF1D/u500_06	UNIF1D	500	1050	204	204	—	99.72	79.14
UNIF1D/u500_07	UNIF1D	500	1050	202	205	+3	98.53	78.48
UNIF1D/u500_08	UNIF1D	500	1050	200	202	+2	98.59	79
UNIF1D/u500_09	UNIF1D	500	1050	200	200	—	99.74	74
UNIF1D/u500_10	UNIF1D	500	1050	197	197	—	99.7	76.38
UNIF1D/u1000_01	UNIF1D	1000	1050	403	403	—	99.96	292.33
UNIF1D/u1000_02	UNIF1D	1000	1050	398	399	+1	99.52	309.11
UNIF1D/u1000_03	UNIF1D	1000	1050	401	401	—	99.95	303.68
UNIF1D/u1000_04	UNIF1D	1000	1050	392	393	+1	99.66	280.55
UNIF1D/u1000_05	UNIF1D	1000	1050	399	400	+1	99.73	280.16
UNIF1D/u1000_06	UNIF1D	1000	1050	403	404	+1	99.63	278.34
UNIF1D/u1000_07	UNIF1D	1000	1050	409	410	+1	99.65	295.87
UNIF1D/u1000_08	UNIF1D	1000	1050	398	398	—	99.85	277.36
UNIF1D/u1000_09	UNIF1D	1000	1050	399	399	—	99.98	279.3
UNIF1D/u1000_10	UNIF1D	1000	1050	403	405	+2	99.42	271.44
TRIPLET1D/t60_01	TRIPLET1D	60	1000	20	21	+1	95.24	7.12
TRIPLET1D/t60_02	TRIPLET1D	60	1000	20	21	+1	95.24	0.87
TRIPLET1D/t60_03	TRIPLET1D	60	1000	20	21	+1	95.24	0.89
TRIPLET1D/t60_04	TRIPLET1D	60	1000	20	21	+1	95.24	0.84
TRIPLET1D/t60_05	TRIPLET1D	60	1000	20	21	+1	95.24	1.14
TRIPLET1D/t60_06	TRIPLET1D	60	1000	20	21	+1	95.24	0.92
TRIPLET1D/t60_07	TRIPLET1D	60	1000	20	21	+1	95.24	0.82
TRIPLET1D/t60_08	TRIPLET1D	60	1000	20	21	+1	95.24	0.82
TRIPLET1D/t60_09	TRIPLET1D	60	1000	20	21	+1	95.24	0.82
TRIPLET1D/t60_10	TRIPLET1D	60	1000	20	21	+1	95.24	0.82
TRIPLET1D/t120_01	TRIPLET1D	120	1000	40	41	+1	97.56	2.92
TRIPLET1D/t120_02	TRIPLET1D	120	1000	40	41	+1	97.56	3.01
TRIPLET1D/t120_03	TRIPLET1D	120	1000	40	41	+1	97.56	2.96
TRIPLET1D/t120_04	TRIPLET1D	120	1000	40	41	+1	97.56	3.32
TRIPLET1D/t120_05	TRIPLET1D	120	1000	40	41	+1	97.56	3.23
TRIPLET1D/t120_06	TRIPLET1D	120	1000	40	41	+1	97.56	2.88
TRIPLET1D/t120_07	TRIPLET1D	120	1000	40	41	+1	97.56	3
TRIPLET1D/t120_08	TRIPLET1D	120	1000	40	41	+1	97.56	2.9
TRIPLET1D/t120_09	TRIPLET1D	120	1000	40	41	+1	97.56	3.34
TRIPLET1D/t120_10	TRIPLET1D	120	1000	40	41	+1	97.56	2.91
TRIPLET1D/t249_01	TRIPLET1D	249	1000	83	86	+3	96.51	16.84
TRIPLET1D/t249_02	TRIPLET1D	249	1000	83	84	+1	98.81	11.79
TRIPLET1D/t249_03	TRIPLET1D	249	1000	83	85	+2	97.65	12.07
TRIPLET1D/t249_04	TRIPLET1D	249	1000	83	86	+3	96.51	18.21
TRIPLET1D/t249_05	TRIPLET1D	249	1000	83	85	+2	97.65	12.73
TRIPLET1D/t249_06	TRIPLET1D	249	1000	83	85	+2	97.65	12.29
TRIPLET1D/t249_07	TRIPLET1D	249	1000	83	85	+2	97.65	12.18
TRIPLET1D/t249_08	TRIPLET1D	249	1000	83	85	+2	97.65	12.11
TRIPLET1D/t249_09	TRIPLET1D	249	1000	83	85	+2	97.65	12.01
TRIPLET1D/t249_10	TRIPLET1D	249	1000	83	85	+2	97.65	11.76
TRIPLET1D/t501_01	TRIPLET1D	501	1000	167	171	+4	97.66	53.07
TRIPLET1D/t501_02	TRIPLET1D	501	1000	167	171	+4	97.66	46.74
TRIPLET1D/t501_03	TRIPLET1D	501	1000	167	171	+4	97.66	46.6
TRIPLET1D/t501_04	TRIPLET1D	501	1000	167	171	+4	97.66	51.66
TRIPLET1D/t501_05	TRIPLET1D	501	1000	167	171	+4	97.66	55.78
TRIPLET1D/t501_06	TRIPLET1D	501	1000	167	170	+3	98.24	55.08
TRIPLET1D/t501_07	TRIPLET1D	501	1000	167	171	+4	97.66	52.44
TRIPLET1D/t501_08	TRIPLET1D	501	1000	167	171	+4	97.66	46.9
TRIPLET1D/t501_09	TRIPLET1D	501	1000	167	171	+4	97.66	46.52
TRIPLET1D/t501_10	TRIPLET1D	501	1000	167	171	+4	97.66	54.43
RAND1D/r_50_100_0.1_0.7_1	RAND1D	50	1000	21	22	+1	94.59	3.18
RAND1D/r_50_100_0.1_0.7_2	RAND1D	50	1000	21	21	—	96.57	1.62
RAND1D/r_50_100_0.1_0.7_3	RAND1D	50	1000	20	20	—	97	1.49
RAND1D/r_50_100_0.2_0.8_1	RAND1D	50	1000	28	28	—	90.61	1.49
RAND1D/r_50_100_0.2_0.8_2	RAND1D	50	1000	26	26	—	93	1.39
RAND1D/r_50_100_0.2_0.8_3	RAND1D	50	1000	23	24	+1	94.63	1.4
RAND1D/r_50_150_0.1_0.7_1	RAND1D	50	1050	20	20	—	95.83	1.53
RAND1D/r_50_150_0.1_0.7_2	RAND1D	50	1050	20	20	—	95.63	1.39
RAND1D/r_50_150_0.1_0.7_3	RAND1D	50	1050	22	23	+1	94.7	1.5
RAND1D/r_50_150_0.2_0.8_1	RAND1D	50	1050	31	31	—	80.69	1.63
RAND1D/r_50_150_0.2_0.8_2	RAND1D	50	1050	30	30	—	85.18	5.51
RAND1D/r_50_150_0.2_0.8_3	RAND1D	50	1050	25	25	—	95.76	1.23
RAND1D/r_50_1000_0.1_0.7_1	RAND1D	50	1000	21	22	+1	93.1	0.68
RAND1D/r_50_1000_0.1_0.7_2	RAND1D	50	1000	20	21	+1	94.89	0.63
RAND1D/r_50_1000_0.1_0.7_3	RAND1D	50	1000	21	21	—	96.71	0.67
RAND1D/r_50_1000_0.2_0.8_1	RAND1D	50	1000	29	29	—	88.75	0.71
RAND1D/r_50_1000_0.2_0.8_2	RAND1D	50	1000	30	30	—	89.93	0.71
RAND1D/r_50_1000_0.2_0.8_3	RAND1D	50	1000	28	28	—	91.31	0.64
RAND1D/r_200_100_0.1_0.7_1	RAND1D	200	1000	78	79	+1	97.75	9.76
RAND1D/r_200_100_0.1_0.7_2	RAND1D	200	1000	78	79	+1	98.62	11.04
RAND1D/r_200_100_0.1_0.7_3	RAND1D	200	1000	82	82	—	98.99	11.08
RAND1D/r_200_100_0.2_0.8_1	RAND1D	200	1000	101	101	—	98.19	14.01
RAND1D/r_200_100_0.2_0.8_2	RAND1D	200	1000	110	110	—	92.94	9.21
RAND1D/r_200_100_0.2_0.8_3	RAND1D	200	1000	108	108	—	94.88	9.27
RAND1D/r_200_150_0.1_0.7_1	RAND1D	200	1050	82	82	—	98.85	10.62
RAND1D/r_200_150_0.1_0.7_2	RAND1D	200	1050	77	78	+1	98.36	10.73
RAND1D/r_200_150_0.1_0.7_3	RAND1D	200	1050	80	81	+1	98.21	9.84
RAND1D/r_200_150_0.2_0.8_1	RAND1D	200	1050	100	100	—	97.07	9.6
RAND1D/r_200_150_0.2_0.8_2	RAND1D	200	1050	101	102	+1	96.93	14.27
RAND1D/r_200_150_0.2_0.8_3	RAND1D	200	1050	100	100	—	98.06	9.41
RAND1D/r_200_1000_0.1_0.7_1	RAND1D	200	1000	84	85	+1	98.48	9.5
RAND1D/r_200_1000_0.1_0.7_2	RAND1D	200	1000	76	77	+1	98.02	9.56
RAND1D/r_200_1000_0.1_0.7_3	RAND1D	200	1000	80	81	+1	97.85	9.03
RAND1D/r_200_1000_0.2_0.8_1	RAND1D	200	1000	98	99	+1	98.15	8.85
RAND1D/r_200_1000_0.2_0.8_2	RAND1D	200	1000	106	106	—	95.24	8.67
RAND1D/r_200_1000_0.2_0.8_3	RAND1D	200	1000	108	108	—	94.2	9.4
RAND1D/r_500_100_0.1_0.7_1	RAND1D	500	1000	196	197	+1	99.32	64.83
RAND1D/r_500_100_0.1_0.7_2	RAND1D	500	1000	204	204	—	99.9	69.21
RAND1D/r_500_100_0.1_0.7_3	RAND1D	500	1000	200	200	—	99.69	70.26
RAND1D/r_500_100_0.2_0.8_1	RAND1D	500	1000	263	264	+1	96.43	62.33
RAND1D/r_500_100_0.2_0.8_2	RAND1D	500	1000	249	250	+1	98.54	62.99
RAND1D/r_500_100_0.2_0.8_3	RAND1D	500	1000	256	256	—	97.53	64.82
RAND1D/r_500_150_0.1_0.7_1	RAND1D	500	1050	202	202	—	99.89	71.84
RAND1D/r_500_150_0.1_0.7_2	RAND1D	500	1050	204	204	—	99.65	73.46
RAND1D/r_500_150_0.1_0.7_3	RAND1D	500	1050	192	192	—	99.75	75.24
RAND1D/r_500_150_0.2_0.8_1	RAND1D	500	1050	261	261	—	96.72	64.54
RAND1D/r_500_150_0.2_0.8_2	RAND1D	500	1050	250	250	—	98.87	64.97
RAND1D/r_500_150_0.2_0.8_3	RAND1D	500	1050	270	270	—	95.26	63.52
RAND1D/r_500_1000_0.1_0.7_1	RAND1D	500	1000	194	196	+2	98.66	59.23
RAND1D/r_500_1000_0.1_0.7_2	RAND1D	500	1000	198	201	+3	98.44	62.32
RAND1D/r_500_1000_0.1_0.7_3	RAND1D	500	1000	199	200	+1	99.09	57.15
RAND1D/r_500_1000_0.2_0.8_1	RAND1D	500	1000	260	261	+1	96.92	64.69
RAND1D/r_500_1000_0.2_0.8_2	RAND1D	500	1000	261	262	+1	96.2	62.77
RAND1D/r_500_1000_0.2_0.8_3	RAND1D	500	1000	259	262	+3	96.32	58.46

Imbrication à forme réelle

Les chiffres ci-dessus concernent l’imbriquateur guillotine, qui découpe des rectangles. L’imbrication à forme réelle est un moteur différent pour un problème différent : elle imbrique des POLYGONES ARBITRAIRES — pour le laser, le plasma et le jet d’eau — en laissant les pièces s’emboîter dans les poches concaves les unes des autres. Sur un travail représentatif de 272 pièces, elle utilise 6 panneaux, là où les mêmes pièces confiées à un imbriquateur rectangulaire par leur rectangle englobant en nécessitent 9 — un tiers de matière en moins, rien que par la forme.

panneaux · forme réelle

panneaux · moteur max, 60 s

panneaux · rectangle englobant

panneaux · minimum théorique

Pourquoi nous rapportons le nombre de panneaux, pas la densité

Un imbriquateur par rectangle englobant compte le vide des encoches à l’intérieur du rectangle de chaque pièce comme plein, si bien que son « rendement » paraît plus élevé pour un moins bon résultat — le plan à 9 panneaux semble plus dense que celui à 6 panneaux. La seule métrique honnête et comparable est le nombre de panneaux dont les mêmes pièces physiques ont réellement besoin. C’est le chiffre ci-dessus.

Le plan à 6 panneaux est le moteur rapide par défaut, qui répond dans la même requête. Le moteur asynchrone max (engine:"max") continue ensuite de chercher moins de panneaux : mesuré sur notre serveur de production le 22 septembre 2026, il a utilisé 5 panneaux sur 4 exécutions avec son budget par défaut de 60 secondes, et 5 sur 2 exécutions avec le maximum de 180 secondes. Il est limité dans le temps, si bien qu’une exécution peut se terminer différemment d’une autre — nous montrons la plage sur l’ensemble des exécutions, pas la meilleure. Chaque disposition a été vérifiée indépendamment : chaque pièce posée et sur son panneau, aucune paire de pièces ne se chevauchant de plus de 0,01 mm — une marge pour les coordonnées arrondies que renvoie l’API, car des pièces qui se touchent peuvent sinon sembler se croiser de quelques millièmes de millimètre.

Une borne inférieure théorique sur ce travail est de 4 panneaux — l’aire totale des pièces divisée par un panneau. Aucun plan ne peut en utiliser moins ; avec des formes irrégulières, l’air entre les pièces fait qu’un plan l’atteint rarement.

Ces chiffres ne comportent aucun espace entre les pièces. Avec un espace de 5 mm entre les pièces et en bord de panneau, un réglage laser courant, le même travail nécessite 6 panneaux avec le moteur par défaut et 5–6 avec max (2 exécutions, 60 s chacune).

Les jeux d’imbrication classiques ESICUP

Le travail ci-dessus est un travail que nous avons construit. Pour que le moteur puisse aussi être vérifié sur des problèmes que nous n’avons pas choisis, nous l’avons exécuté sur les 13 jeux d’imbrication classiques ESICUP, les instances publiques de placement irrégulier utilisées par la littérature de recherche. Ce sont des problèmes de strip-packing ; nous les transformons en problèmes de panneaux comme le fait la littérature du bin-packing, avec trois tailles de panneaux carrés par jeu, ce qui donne 39 instances. Sur l’ensemble, le moteur par défaut utilise 248 panneaux et le moteur max 244 (la moins bonne de 2 exécutions, 60 s chacune), face à une borne inférieure de 153. Le moteur par défaut atteint la borne sur 7 instances et max sur 11. Max nécessite moins de panneaux que le moteur par défaut sur 4 instances, à chaque exécution.

Comment cela a été mesuré, sur notre serveur de production le 22 septembre 2026 : chaque panneau est un carré dont le côté vaut 1,1, 1,5 ou 2 fois la plus grande dimension de pièce (la convention de Martinez-Sykora et al., 2017) ; chaque jeu conserve ses propres rotations autorisées ; il n’y a aucun espace entre les pièces, comme dans la littérature ; max s’exécute avec son budget par défaut de 60 secondes et nous rapportons sa moins bonne exécution. La borne inférieure, l’aire totale des pièces divisée par un panneau, est faible pour les formes irrégulières, si bien qu’un résultat au-dessus d’elle n’est pas nécessairement dépassé par quoi que ce soit. Chaque disposition a été vérifiée en dehors du moteur : 39 instances sur 39 sont valides, chaque pièce étant posée sur son panneau et aucune paire de pièces ne se chevauchant au-delà de l’arrondi des coordonnées renvoyées. Les instances proviennent du dépôt jagua-rs à la révision à partir de laquelle notre moteur est construit (la collection ESICUP est sous CC0), et le script qui les a mesurées se trouve dans notre dépôt.

Les 39 instances

Jeu	Côté du panneau (× plus grande pièce)	Pièces	Borne inférieure	Par défaut	Max · 60 s
albano	1,1	24	4	6	6
albano	1,5	24	3	3	3
albano	2	24	2	2	2
blaz1	1,1	28	11	20	20
blaz1	1,5	28	6	14	14
blaz1	2	28	4	6	6
dagli	1,1	30	3	4	4
dagli	1,5	30	2	2	2
dagli	2	30	1	1	1
fu	1,1	12	5	9	9
fu	1,5	12	3	5	5
fu	2	12	2	3	2
jakobs1	1,1	25	6	9	9
jakobs1	1,5	25	3	4	4
jakobs1	2	25	2	3	3
jakobs2	1,1	25	5	8	8
jakobs2	1,5	25	3	4	4
jakobs2	2	25	2	3	2
mao	1,1	20	3	4	4
mao	1,5	20	2	3	2
mao	2	20	1	2	1
marques	1,1	24	4	6	6
marques	1,5	24	3	3	3
marques	2	24	2	2	2
shapes0	1,1	43	7	17	17
shapes0	1,5	43	4	10	10
shapes0	2	43	3	5	5
shapes1	1,1	43	7	15	15
shapes1	1,5	43	4	8	8
shapes1	2	43	3	4	4
shirts	1,1	99	11	16	16
shirts	1,5	99	6	9	9
shirts	2	99	4	5	5
swim	1,1	48	6	12	12
swim	1,5	48	4	6	6
swim	2	48	2	3	3
trousers	1,1	64	5	6	6
trousers	1,5	64	3	4	4
trousers	2	64	2	2	2

Résultats par instance (JSON)

Imbrication à forme réelle sur l’Engine API →

The max tier — closer to the proven optimum

The figures above are the default engine, which returns instantly. The optional async max engine (engine:"max") runs a tree search instead: on the same public 2DPackLib instances, judged by the same lower bound, it reaches the PROVEN minimum on 12–13 percentage points more jobs than the default, with a smaller gap on the ones that miss. The trade is time — see below.

Corpus	Engine	On the bound	Avg gap (off-bound)
A + BENG · 106	default · heuristic	44,3 %	11,1 %
A + BENG · 106	max · PackingSolver	57,1 %	6,9 %
CLASS (sample) · 168	default · heuristic	57,7 %	12,8 %
CLASS (sample) · 168	max · PackingSolver	69,6 %	10,4 %

Why the max tier is asynchronous

The default engine solves in about 30 ms and runs in your browser. The max engine takes seconds to a minute per job — too long to hold an HTTP request open — so it is asynchronous: POST with engine:"max" returns a job id, and you poll until it finishes. Same public corpus, same lower-bound method, both our own engines — no competitor data.

One honest caveat: the max engine is time-boxed, so on the very hardest instances the search is cut off at the cap — a few jobs may not finish (1 of 274 here) and its figures can move by about a point between runs. The default engine is fully deterministic and always returns a plan.

The max tier on the Engine API →

Données

La mesure complète, pas un résumé.

results.jsonl — Tous les résultats — chaque travail, profil, moteur et orientation
summary.json — Agrégats — les chiffres de cette page
table.json — Ce tableau au format JSON
corpus.json — Les instances d’entrée générées — les problèmes réels que l’exécuteur a résolus. Les jeux académiques canoniques sont récupérés et vérifiés par hachage plutôt que recopiés ici, car leur source n’accorde aucune redistribution.

Pour reproduire : clonez le dépôt, exécutez npm run bench:fetch pour télécharger les instances canoniques et vérifier leurs hachages, puis npm run bench. Le corpus généré ne nécessite aucun téléchargement.

Les fichiers ci-dessus sont publiés sous CC BY 4.0 — réutilisez-les, usage commercial inclus, avec attribution à CutOptim. Cela couvre notre propre mesure et le corpus généré. Les instances académiques canoniques ne sont pas les nôtres pour les licencier et ne sont pas distribuées d’ici.

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