Open measurement

Benchmarks

Most cutting software quotes a yield percentage. A percentage is meaningless without knowing what was achievable — 80 % can be optimal on one job and wasteful on another. So we measure against the theoretical minimum instead: for every test job we compute a lower bound on the number of sheets or bars any plan could possibly use, then report how far our plan is from it. The inputs are published academic instances, the results are below, and you can re-run the whole thing yourself.

89.3 %

of panel jobs land on the bound or within one sheet of it

53.0 %

are provably optimal — exactly on the bound

1.48 %

average gap to the bound on linear jobs

1,259

test instances, 8 benchmark sets

Panel figures are the 553 canonical instances at kerf 0 with rotation disabled — the convention the literature uses, so they are comparable to published work on the same instances.

How the bound is computed

A lower bound is a number of sheets no plan can go below. If our plan matches it, the plan is provably optimal for that job — no better one exists. Two bounds are computed and the larger is used; both are reported per job so you can see what each contributes.

LB1 — area, corrected for the saw kerf

Give every placed piece a footprint enlarged by half a kerf on each side. In a guillotine layout any two pieces are separated by at least one cut, and every cut consumes a kerf, so those footprints never overlap — and they all fit inside the usable sheet grown by half a kerf on each side. Summing them gives a bound that no layout can beat. At kerf 0 this is the classical area bound.

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

LB2 — dual feasible functions

The area bound is blind to shape: five pieces of 600 × 600 use only 1.8 sheets’ worth of area on a 1000 × 1000 sheet, yet only one fits per sheet, so five sheets are needed. A dual feasible function is a transformation of the sizes that preserves feasibility, which lets the area argument see that structure. Two families are used — Martello–Toth and Fekete–Schepers — applied independently to widths and heights, and the best result over the whole parameter grid is taken. Under rotation each piece is charged the smaller of its two orientations, otherwise the bound could exceed the true optimum.

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

Why the instances are scaled

The published instances use small unit-less integers — some have a 10 × 10 bin. Our packer discards free strips thinner than one unit, which on a 10 × 10 bin would be a tenth of the sheet. Every instance is therefore multiplied by a whole number until its short side is at least 1000 units. Integer scaling is an exact transformation: the optimal number of sheets does not change, the instance just moves out of the reach of that floor.

Reproducibility

The optimizer is deterministic — the same input always produces the same plan. The whole corpus was run twice with caching disabled and every field except the timings came back byte-identical. The instance sources are pinned by SHA-256, so a re-run can prove it measured the same bytes. And every job is checked against the invariant that the bound never exceeds the plan actually produced; a single violation stops the run rather than publishing a number.

What these numbers do not say

Our bound is not the strongest one known. Stronger bounds exist in the literature, so the gap we report is an upper estimate of the real gap — a job we mark as “not on the bound” may in fact be optimal, and we simply cannot prove it.
Relative gaps exaggerate on small jobs. The median job here needs about a dozen sheets, so one extra sheet reads as a large percentage. The absolute column — how many sheets over the bound — is the honest one.
Two of the generated families are adversarial by construction: their pieces tile the bins exactly, leaving zero slack, so any imperfection costs a whole bin. They are a ceiling test, not a picture of typical work.
The 150-part boundary in the size table is not arbitrary — it is where both packers change strategy for speed. Jobs above it run a different code path, so a change there is a deliberate trade-off rather than a cliff.
The measurement calls the same functions the public Engine API runs, in-process rather than over HTTP — network latency would corrupt the timings. That equivalence is not assumed: a sample of instances is replayed against the live API and required to come back identical field for field.

By job size

Split by part count. Both packers drop their most expensive search strategy above 150 parts, so that boundary separates two different code paths.

Parts	Jobs	On the bound	Avg gap when not	p95 time
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

What was measured

Two corpora, never mixed into one number. The canonical sets are the instances the academic literature uses; they are downloaded and verified by hash rather than copied here, because their source states no licence that permits redistribution. The generated sets are ours to publish.

Set	Instances	Origin	In this repo?
CLASS	500	J	SHA-256 9f5ca94d6a…
BENG	10	M	SHA-256 90536b0527…
A	43	R	SHA-256 dd1804179a…
CLASS-R	500	Generated — built from the published generator parameters, our own seeds	✓
PERFECT2D	72	Generated — built from the published generator parameters, our own seeds	✓
UNIF1D	40	Generated — built from the published generator parameters, our own seeds	✓
TRIPLET1D	40	Generated — built from the published generator parameters, our own seeds	✓
RAND1D	54	Generated — built from the published generator parameters, our own seeds	✓

Two generated families carry a proven optimum by construction: their pieces tile the bins exactly with zero waste, so the optimum is known and not merely bounded.

Strip-packing, knapsack and orthogonal-packing sets are excluded: they are different problems with different objectives, and a “bins used” figure is undefined for them. The one-dimensional BPPLIB collection is excluded on licence grounds — its authors publish it under CC BY-NC-ND, which does not permit use in a commercial product’s benchmark.

Every job

One row per instance at the headline settings. The other profiles, engines and orientations are in the downloadable results file.

Only jobs above the bound

Showing 1,259 of 1,259

Instance	Set	Parts	Stock	Bound	Used	Over	Yield	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

True-shape nesting

The numbers above are the guillotine packer, which cuts rectangles. True-shape nesting is a different engine for a different problem: it packs ARBITRARY POLYGONS — for laser, plasma and waterjet — letting parts interlock into each other’s concave pockets. On a representative 272-part job it uses 6 sheets, where the exact same parts fed to a rectangular packer by their bounding box need 9 — a third less material, from the shape alone.

sheets · true-shape

sheets · max engine, 60 s

sheets · bounding box

sheets · theoretical minimum

Why we report sheet count, not density

A bounding-box packer counts the notch-air inside each part’s rectangle as solid, so its “yield” reads higher for a worse result — the 9-sheet plan looks denser than the 6-sheet one. The only honest, cross-comparable metric is the number of sheets the same physical parts actually need. That is the number above.

The 6-sheet plan is the fast default engine, which answers in the same request. The asynchronous max engine (engine:"max") then keeps searching for fewer sheets: measured on our production server on September 22, 2026, it used 5 sheets across 4 runs with its default 60-second budget, and 5 across 2 runs with the 180-second maximum. It is time-boxed, so one run can end differently from another — we show the range over every run, not the best one. Each layout was checked independently: every part placed and on its sheet, no two parts overlapping by more than 0.01 mm — a margin for the rounded coordinates the API returns, since parts that touch can otherwise appear to cross by a few thousandths of a millimetre.

A theoretical lower bound on this job is 4 sheets — the total part area divided by one sheet. No plan can use fewer; with irregular shapes, air between the parts means a plan rarely reaches it.

Those figures have no gap between parts. With a 5 mm gap between parts and at the sheet edge, a common laser setting, the same job needs 6 sheets with the default engine and 5–6 with max (2 runs, 60 s each).

The classic ESICUP nesting sets

The job above is one we built. So that the engine can also be checked on problems we did not choose, we ran it on the 13 classic ESICUP nesting sets, the public irregular-packing instances the research literature uses. They are strip-packing problems; we turn them into sheet problems the way the bin-packing literature does, with three square sheet sizes per set, which gives 39 instances. Across all of them the default engine uses 248 sheets and the max engine 236 (the worse of 2 runs, 60 s each), against a lower bound of 153. The default reaches the bound on 7 instances and max on 14. Max needs fewer sheets than the default on 11 instances, in every run.

How it was measured, on our production server on September 22, 2026: each sheet is a square whose side is 1.1, 1.5 or 2 times the largest piece dimension (the convention of Martinez-Sykora et al., 2017); each set keeps its own allowed rotations; there is no gap between parts, as in the literature; max runs with its default 60-second budget and we report its worse run. The lower bound, the total part area divided by one sheet, is weak for irregular shapes, so the distance to it does not show how far a result is from the best possible. Methods published in the research literature use fewer sheets than our engine on many of these instances; this section shows where the engine stands, not that it is optimal. Every layout was checked outside the engine: 39 of 39 are valid, with every part placed on its sheet and no two parts overlapping beyond the rounding of the returned coordinates. The instances come from the jagua-rs repository at the revision our engine is built from (the ESICUP collection is CC0), and the script that measured them is in our repository.

All 39 instances

Set	Sheet side (× largest piece)	Parts	Lower bound	Default	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	12
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	8
fu	1.5	12	3	5	4
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	2
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	4
swim	1.1	48	6	12	11
swim	1.5	48	4	6	6
swim	2	48	2	3	3
trousers	1.1	64	5	6	5
trousers	1.5	64	3	4	4
trousers	2	64	2	2	2

Per-instance results (JSON)

Rectangular laser plates

Sheet-metal work is mostly rectangles and near-rectangles, and those are where a nesting engine that samples positions falls short: it rarely lands on an exact grid. So both engines also pack the parts’ bounding boxes with an exact rectangle packer and keep the better plan. On 20 rectangular-plate jobs, 1,226 parts in all, the default engine uses 70 sheets against a lower bound of 63 and reaches the bound on 14 jobs. Every exact-grid job (5 of 5) comes out optimal.

How it was measured, on our production server on September 28, 2026: four kinds of job, all synthetic and defined in our script: identical parts that tile the sheet exactly with no gap, the same kind of grid with a laser gap and edge clearance, mixed rectangle orders, and rounded plates with bolt holes. Rotation is left free, the API default; max runs with a 15-second budget and we report its worse run of 2. The lower bound is the total part area divided by one sheet; it ignores the gap, so on the spaced jobs the true minimum can sit above it. Every layout was checked outside the engine: 20 of 20 jobs are valid, with every part placed, none overlapping, and none closer than the gap to another part or than the edge clearance to the sheet edge.

The max engine used exactly the default’s sheets on every job here: on rectangles the exact packer already does the work, and its longer search pays off on irregular shapes like the ones above.

All 20 jobs

Job	Sheet (mm)	Gap / edge (mm)	Parts	Lower bound	Default	Max · 15 s
grid-500	3,000 × 1,500	0 / 0	36	2	2	2
grid-250	3,000 × 1,500	0 / 0	144	2	2	2
grid-1000x500	3,000 × 1,500	0 / 0	27	3	3	3
grid-625x250	2,500 × 1,250	0 / 0	40	2	2	2
grid-mixed	3,000 × 1,500	0 / 0	24	2	2	2
spaced-490	3,000 × 1,500	5 / 10	36	2	2	2
spaced-590	2,500 × 1,250	5 / 10	24	3	3	3
spaced-980x480	3,000 × 1,500	10 / 5	18	2	2	2
orders-1	3,000 × 1,500	5 / 10	92	5	5	5
orders-2	2,500 × 1,250	5 / 10	64	4	5	5
orders-3	3,000 × 1,500	5 / 10	103	6	6	6
orders-4	2,500 × 1,250	5 / 10	75	5	5	5
orders-5	3,000 × 1,500	5 / 10	46	3	3	3
orders-6	2,500 × 1,250	5 / 10	95	6	7	7
orders-7	3,000 × 1,500	5 / 10	39	2	3	3
orders-8	2,500 × 1,250	5 / 10	71	6	8	8
plates-1	3,000 × 1,500	5 / 10	35	1	1	1
plates-2	3,000 × 1,500	5 / 10	104	3	4	4
plates-3	3,000 × 1,500	5 / 10	71	2	3	3
plates-4	3,000 × 1,500	5 / 10	82	2	2	2

Per-job results (JSON)

True-shape nesting on the 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 →

Data

The complete measurement, not a summary of it.

results.jsonl — All results — every job, profile, engine and orientation
summary.json — Aggregates — the numbers on this page
table.json — This table as JSON
corpus.json — The generated input instances — the actual problems the runner solved. The canonical academic sets are fetched and hash-verified rather than copied here, because their source grants no redistribution.

To reproduce: clone the repository, run npm run bench:fetch to download the canonical instances and verify their hashes, then npm run bench. The generated corpus needs no download.

The files above are published under CC BY 4.0 — reuse them, commercially included, with credit to CutOptim. That covers our own measurement and the generated corpus. The canonical academic instances are not ours to license and are not distributed from here.

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