Misurazione aperta

Benchmark

La maggior parte dei software di taglio dichiara una percentuale di resa. Una percentuale non significa nulla senza sapere che cosa era realizzabile — l’80 % può essere ottimale su un lavoro e uno spreco su un altro. Per questo misuriamo invece rispetto al minimo teorico: per ogni lavoro di prova calcoliamo un limite inferiore sul numero di pannelli o barre che qualsiasi piano potrebbe utilizzare, poi indichiamo quanto il nostro piano se ne discosta. Gli input sono istanze accademiche pubblicate, i risultati sono qui sotto, e puoi rieseguire l’intero processo tu stesso.

89,3 %

dei lavori su pannello cadono sul limite o entro un pannello da esso

53,0 %

sono dimostrabilmente ottimali — esattamente sul limite

1,48 %

scarto medio rispetto al limite nei lavori lineari

1259

istanze di prova, 8 insiemi di benchmark

Le cifre sui pannelli sono le 553 istanze canoniche a kerf 0 con rotazione disattivata — la convenzione usata dalla letteratura, così da essere confrontabili con i lavori pubblicati sulle stesse istanze.

Come si calcola il limite

Un limite inferiore è un numero di pannelli sotto il quale nessun piano può scendere. Se il nostro piano lo eguaglia, il piano è dimostrabilmente ottimale per quel lavoro — non ne esiste uno migliore. Si calcolano due limiti e si usa il maggiore; entrambi vengono riportati per ogni lavoro, così da vedere che cosa contribuisce ciascuno.

LB1 — area, corretta per lo spessore della lama (kerf)

Assegna a ogni pezzo posizionato un ingombro ampliato di mezzo kerf su ciascun lato. In uno schema a ghigliottina due pezzi qualsiasi sono separati da almeno un taglio, e ogni taglio consuma un kerf, quindi quegli ingombri non si sovrappongono mai — e stanno tutti all’interno del pannello utile accresciuto di mezzo kerf su ciascun lato. Sommandoli si ottiene un limite che nessuno schema può battere. A kerf 0 questo è il classico limite d’area.

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

LB2 — funzioni dualmente ammissibili

Il limite d’area è cieco alla forma: cinque pezzi da 600 × 600 usano soltanto l’area di 1.8 pannelli su un pannello da 1000 × 1000, eppure ne entra uno solo per pannello, quindi ne servono cinque. Una funzione dualmente ammissibile è una trasformazione delle dimensioni che preserva l’ammissibilità, e permette all’argomento dell’area di vedere quella struttura. Si usano due famiglie — Martello–Toth e Fekete–Schepers — applicate in modo indipendente a larghezze e altezze, e si prende il miglior risultato sull’intera griglia di parametri. Sotto rotazione a ogni pezzo si imputa la minore delle sue due orientazioni, altrimenti il limite potrebbe superare l’ottimo reale.

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

Perché le istanze vengono scalate

Le istanze pubblicate usano piccoli interi senza unità — alcune hanno un contenitore da 10 × 10. Il nostro algoritmo di posizionamento scarta le strisce libere più sottili di un’unità, che su un contenitore da 10 × 10 sarebbe un decimo del pannello. Ogni istanza viene quindi moltiplicata per un numero intero finché il suo lato corto non raggiunge almeno 1000 unità. Lo scalamento intero è una trasformazione esatta: il numero ottimale di pannelli non cambia, l’istanza si allontana soltanto dalla portata di quella soglia.

Riproducibilità

L’ottimizzatore è deterministico — lo stesso input produce sempre lo stesso piano. L’intero corpus è stato eseguito due volte con la cache disattivata e ogni campo tranne i tempi è tornato identico byte per byte. Le fonti delle istanze sono fissate tramite SHA-256, così una nuova esecuzione può dimostrare di aver misurato gli stessi byte. E ogni lavoro viene verificato rispetto all’invariante secondo cui il limite non supera mai il piano effettivamente prodotto; una sola violazione ferma l’esecuzione anziché pubblicare un numero.

Ciò che questi numeri non dicono

Il nostro limite non è il più forte che si conosca. In letteratura esistono limiti più forti, quindi lo scarto che riportiamo è una stima superiore dello scarto reale — un lavoro che segnaliamo come «non sul limite» può in realtà essere ottimale, e semplicemente non possiamo dimostrarlo.
Gli scarti relativi si esagerano nei lavori piccoli. Il lavoro mediano qui necessita di circa una dozzina di pannelli, quindi un pannello in più si legge come una percentuale elevata. La colonna assoluta — quanti pannelli oltre il limite — è quella onesta.
Due delle famiglie generate sono avverse per costruzione: i loro pezzi ricoprono esattamente i contenitori, senza lasciare alcun margine, quindi qualsiasi imperfezione costa un contenitore intero. Sono una prova di soffitto, non un ritratto del lavoro tipico.
Il confine dei 150 pezzi nella tabella delle dimensioni non è arbitrario — è il punto in cui entrambi gli algoritmi di posizionamento cambiano strategia per velocità. I lavori al di sopra seguono un percorso di codice diverso, quindi un cambiamento lì è un compromesso deliberato, non un precipizio.
La misurazione richiama le stesse funzioni che esegue la Engine API pubblica, nello stesso processo anziché via HTTP — la latenza di rete corromperebbe i tempi. Questa equivalenza non è data per scontata: un campione di istanze viene rieseguito contro l’API dal vivo e deve tornare identico campo per campo.

Per dimensione del lavoro

Suddiviso per numero di pezzi. Entrambi gli algoritmi di posizionamento abbandonano la loro strategia di ricerca più costosa oltre i 150 pezzi, quindi quel confine separa due percorsi di codice diversi.

Pezzi	Lavori	Sul limite	Scarto medio quando no	Tempo 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

Che cosa è stato misurato

Due corpora, mai mescolati in un unico numero. Gli insiemi canonici sono le istanze usate dalla letteratura accademica; vengono scaricati e verificati tramite hash anziché copiati qui, perché la loro fonte non dichiara alcuna licenza che ne permetta la ridistribuzione. Gli insiemi generati sono nostri e possiamo pubblicarli.

Insieme	Istanze	Origine	In questo repository?
CLASS	500	J	SHA-256 9f5ca94d6a…
BENG	10	M	SHA-256 90536b0527…
A	43	R	SHA-256 dd1804179a…
CLASS-R	500	Generati — costruiti a partire dai parametri del generatore pubblicato, con i nostri semi	✓
PERFECT2D	72	Generati — costruiti a partire dai parametri del generatore pubblicato, con i nostri semi	✓
UNIF1D	40	Generati — costruiti a partire dai parametri del generatore pubblicato, con i nostri semi	✓
TRIPLET1D	40	Generati — costruiti a partire dai parametri del generatore pubblicato, con i nostri semi	✓
RAND1D	54	Generati — costruiti a partire dai parametri del generatore pubblicato, con i nostri semi	✓

Due famiglie generate portano un ottimo dimostrato per costruzione: i loro pezzi ricoprono esattamente i contenitori con zero sfrido, quindi l’ottimo è noto e non semplicemente limitato.

Gli insiemi di strip-packing, knapsack e packing ortogonale sono esclusi: sono problemi diversi con obiettivi diversi, e per essi una cifra di «contenitori usati» non è definita. La collezione unidimensionale BPPLIB è esclusa per motivi di licenza — i suoi autori la pubblicano sotto CC BY-NC-ND, che non ne permette l’uso nel benchmark di un prodotto commerciale.

Ogni lavoro

Una riga per istanza con le impostazioni principali. Gli altri profili, motori e orientazioni sono nel file dei risultati scaricabile.

Solo lavori sopra il limite

Mostrati 1259 di 1259

Istanza	Insieme	Pezzi	Materiale	Limite	Usati	Eccedenza	Resa	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

Nesting a forma reale

I numeri qui sopra sono del packer a ghigliottina, che taglia rettangoli. Il nesting a forma reale è un motore diverso per un problema diverso: dispone POLIGONI ARBITRARI — per taglio laser, plasma e getto d’acqua — facendo incastrare i pezzi nelle tasche concave gli uni degli altri. Su un lavoro rappresentativo da 272 pezzi usa 6 lastre, là dove gli stessi identici pezzi passati a un packer rettangolare tramite il loro bounding box ne richiedono 9 — un terzo di materiale in meno, solo grazie alla forma.

lastre · forma reale

lastre · motore max, 60 s

lastre · bounding box

lastre · minimo teorico

Perché riportiamo il numero di lastre, non la densità

Un packer a bounding box conta l’aria degli intagli dentro il rettangolo di ogni pezzo come piena, quindi la sua «resa» appare più alta per un risultato peggiore — il piano da 9 lastre sembra più denso di quello da 6. L’unica metrica onesta e confrontabile è il numero di lastre di cui gli stessi pezzi fisici hanno realmente bisogno. È il numero qui sopra.

Il piano da 6 lastre è il motore predefinito veloce, che risponde nella stessa richiesta. Il motore asincrono max (engine:"max") continua poi a cercare meno lastre: misurato sul nostro server di produzione il 22 settembre 2026, ha usato 5 lastre su 4 esecuzioni con il suo budget predefinito di 60 secondi, e 5 su 2 esecuzioni con il massimo di 180 secondi. È limitato nel tempo, quindi un’esecuzione può concludersi diversamente da un’altra — mostriamo l’intervallo su tutte le esecuzioni, non la migliore. Ogni schema è stato verificato in modo indipendente: ogni pezzo posizionato e sulla propria lastra, con non più di 0,01 mm di sovrapposizione tra due pezzi — un margine per le coordinate arrotondate restituite dall’API, perché pezzi che si toccano possono altrimenti sembrare incrociarsi di pochi millesimi di millimetro.

Un limite inferiore teorico su questo lavoro è 4 lastre — l’area totale dei pezzi divisa per una lastra. Nessun piano può usarne meno; con forme irregolari, l’aria tra i pezzi fa sì che un piano lo raggiunga raramente.

Quelle cifre non hanno alcuno spazio tra i pezzi. Con uno spazio di 5 mm tra i pezzi e verso il bordo della lastra, un’impostazione laser comune, lo stesso lavoro richiede 6 lastre con il motore predefinito e 5–6 con max (2 esecuzioni, 60 s ciascuna).

I classici insiemi di nesting ESICUP

Il lavoro qui sopra è uno che abbiamo costruito noi. Per poter verificare il motore anche su problemi che non abbiamo scelto, lo abbiamo eseguito sui 13 classici insiemi di nesting ESICUP, le istanze pubbliche di packing irregolare usate dalla letteratura di ricerca. Sono problemi di strip-packing; li trasformiamo in problemi su lastre come fa la letteratura sul bin-packing, con tre dimensioni di lastra quadrata per insieme, il che dà 39 istanze. Su tutte queste il motore predefinito usa 248 lastre e il motore max 244 (la peggiore di 2 esecuzioni, 60 s ciascuna), contro un limite inferiore di 153. Il motore predefinito raggiunge il limite su 7 istanze e max su 11. Max richiede meno lastre del motore predefinito su 4 istanze, in ogni esecuzione.

Come è stato misurato, sul nostro server di produzione il 22 settembre 2026: ogni lastra è un quadrato il cui lato è 1,1, 1,5 o 2 volte la dimensione massima del pezzo (la convenzione di Martinez-Sykora et al., 2017); ogni insieme mantiene le proprie rotazioni consentite; non c’è alcuno spazio tra i pezzi, come in letteratura; max viene eseguito con il suo budget predefinito di 60 secondi e riportiamo la sua esecuzione peggiore. Il limite inferiore, l’area totale dei pezzi divisa per una lastra, è debole per le forme irregolari, quindi un risultato al di sopra di esso non è necessariamente battuto da nulla. Ogni schema è stato verificato al di fuori del motore: 39 istanze su 39 sono valide, con ogni pezzo posizionato sulla propria lastra e nessuna coppia di pezzi sovrapposta oltre l’arrotondamento delle coordinate restituite. Le istanze provengono dal repository jagua-rs, nella revisione da cui è costruito il nostro motore (la collezione ESICUP è sotto CC0), e lo script che le ha misurate si trova nel nostro repository.

Tutte le 39 istanze

Insieme	Lato della lastra (× pezzo più grande)	Pezzi	Limite inferiore	Predefinito	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

Risultati per istanza (JSON)

Nesting a forma reale sull’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 →

Dati

La misurazione completa, non un suo riassunto.

results.jsonl — Tutti i risultati — ogni lavoro, profilo, motore e orientazione
summary.json — Aggregati — i numeri di questa pagina
table.json — Questa tabella in JSON
corpus.json — Le istanze di input generate — i problemi reali che l’esecutore ha risolto. Gli insiemi accademici canonici vengono ottenuti e verificati tramite hash anziché copiati qui, perché la loro fonte non concede la ridistribuzione.

Per riprodurre: clona il repository, esegui npm run bench:fetch per scaricare le istanze canoniche e verificarne gli hash, poi npm run bench. Il corpus generato non necessita di download.

I file qui sopra sono pubblicati sotto CC BY 4.0 — riutilizzali, uso commerciale incluso, con attribuzione a CutOptim. Questo copre la nostra misurazione e il corpus generato. Le istanze accademiche canoniche non sono nostre da concedere in licenza e non vengono distribuite da qui.

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