grad-noise-175k
Gradient noise, 175k (run of 2026-09-23) · A complete batch run over 175,797 lattice-noise expressions, with 32 texture diagnostics and a frame of each.
About this collection
This collection is complete and closed. Every expression in the space below was rendered and measured once, in a single batch run. Each row is one expression, and its coordinate links to it running live on uto.run.
The purpose is exploratory. There is no target texture and no attempt to resemble Perlin noise. A constant field, a strongly directional pattern or an odd value distribution is an observation, not a failure. The measurements describe textures so they can be sorted, filtered and compared. They are a lossy fingerprint, not a judgement of quality and not a substitute for looking.
The space
An ither formula with two layers:
- topo: expression trees of up to 64 nodes, built from unary (
o1), binary (o2) and leaf (x) slots - expr: fills those slots
- leaves:
P,D,R - unary:
sqt log frc flr cil sgn nrm - binary:
add sub mlt div pow mod lrg eql min dot dst
- leaves:
A coordinate t·x·u·b follows the formula's projection: t the topology,
x the leaf choices, u the unary choices, b the binary choices.
Points outside the space were omitted from the run. Two orderings ride along:
ordinal is the point's position in ither's whole enumeration (gaps where
points were omitted), and batch index is its place in the batch run's
sequence, 0 to 175,796 (the run's inputs.expr, and the number in its
frame's file name).
The apparatus
Each expression is evaluated at the corners of a rectangular lattice with
quintic blending (LATT.RECT.QUINTIC), over coordinates mlt(C, 8), in a
256 × 256 field #A. One configuration per expression: the dimension and
coordinate scale were fixed for the whole run.
Measurements are taken from #A's x channel, its stored values (not a
screenshot), at step 7, after which the run moves to the next expression. The
frame in each row is that field, remapped for display.
The measurements
Notation: f is the field value, E averages the whole field, and E_I
averages the interior (C-space [-0.98, 0.98]², which keeps wrapped edges out
of the spatial measures).
Value distribution
| key | meaning |
|---|---|
value_mean, value_abs_mean |
E[f] and E[|f|]: signed offset, typical distance from zero |
value_positive_fraction |
share of values above 0 (field tolerance 0.0001) |
value_variance, value_stddev |
population variance and SD: contrast |
value_min, value_max, value_range |
sampled extrema and their difference |
histogram_entropy_bits |
entropy of a 32-bin histogram over [−1, 1], 0 (one bin) to 5 (uniform) bits |
histogram_probability_sum |
consistency check, ≈ 1 |
Local roughness (one-pixel differences dx, dy, and g = √(dx² + dy²))
| key | meaning |
|---|---|
gradient_energy_x, gradient_energy_y |
E_I[dx²], E_I[dy²] |
gradient_magnitude_mean |
E_I[g]: roughness |
gradient_magnitude_variance, _stddev, _max |
how unevenly that roughness is spread, and its peak |
gradient_magnitude_cv |
SD / mean of g: uneven activity (quiet areas interrupted by edges), independent of amplitude |
gradient_axis_bias |
(Ex − Ey) / (Ex + Ey), −1 to 1: horizontal vs vertical preference. Zero does not mean isotropic (diagonals balance too) |
gradient_nonzero_flag |
1 if there is any gradient energy at all |
Change of slope (four-neighbour Laplacian L)
| key | meaning |
|---|---|
laplacian_mean, laplacian_energy, laplacian_abs_mean |
E_I[L], E_I[L²], E_I[|L|]. Sharp or high-frequency structure responds; a linear ramp does not |
Normalised by contrast (comparable across amplitudes)
| key | meaning |
|---|---|
gradient_energy_over_variance |
(Ex + Ey) / variance |
laplacian_energy_over_variance |
E_I[L²] / variance |
variance_normalization_valid_flag, gradient_cv_valid_flag |
whether the denominators above are meaningful (> 10⁻¹²). Filter on these before trusting a ratio |
Three spatial scales (mean squared difference at a distance, over the
central [-0.74, 0.74]²: 2, 8 and 32 pixels at this resolution)
| key | meaning |
|---|---|
scale_diff2_near, _mid, _far |
raw difference energy at each distance |
scale_diff2_near_over_variance, _mid_…, _far_… |
the same, normalised. Low near and rising far suggests smooth structure; a dip at a longer distance can hint at repetition |
Each record's json also holds value_histogram (the 32 bin probabilities)
and scale_curve (the three scales with their distances).
Reading them, and their limits
- Clipping.
#Akept its default signed domain, so values outside [−1, 1] were clipped before measuring. The diagnostics describe the clipped texture. - Combinations say more than any one key. A large range with modest SD and a high gradient peak suggests a few strong excursions. A broad histogram with low normalised detail suggests smooth variation. Similar roughness with a different CV means the activity is concentrated differently.
- Entropy is about values, not space. A smooth ramp can have high entropy, and shuffling the pixels would not change it.
- Raw spatial measures depend on resolution and amplitude. Prefer the normalised keys for detail independent of contrast, after checking the validity flags.
- Not measured: full orientation, spectra or periodicity, lacunarity, tileability, colour, novelty, aesthetic merit.
- Validation. The suite compiled and ran on every expression. Systematic numerical controls (constants, ramps, stripes, checkerboards, random pixels) and a comparison against longer settling times were not done before this run. Treat the values as exploratory.
Provenance
- Apparatus:
noiseBatch/one.uto, project SHA-256b6fc8f27…be04d0 - Expression corpus: SHA-256
7d3ec029…d72266 - Run files (canonical), in
~/lab/data/grad-noise-175k/: the enumeration (grad-noise-175k.jsonl), the measurements (grad-noise-175k-output.jsonl, joined oninputs.expr), the formula (grad-noise-175k.manifest.json) and the frames (png/)
| coordinate ▲ | t | x | u | b | expression | batch index | ordinal | topo | measured | step | globalStep | value_mean | value_positive_fraction | value_abs_mean | value_variance | value_stddev | value_min | value_max | value_range | histogram_probability_sum | histogram_entropy_bits | gradient_energy_x | gradient_energy_y | gradient_magnitude_mean | gradient_axis_bias | gradient_nonzero_flag | laplacian_mean | laplacian_energy | laplacian_abs_mean | gradient_magnitude_variance | gradient_magnitude_stddev | gradient_magnitude_cv | gradient_magnitude_max | gradient_energy_over_variance | laplacian_energy_over_variance | variance_normalization_valid_flag | gradient_cv_valid_flag | scale_diff2_near | scale_diff2_mid | scale_diff2_far | scale_diff2_near_over_variance | scale_diff2_mid_over_variance | scale_diff2_far_over_variance | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| t6_x6_u0_b118 | 6 | 6 | 0 | 118 | ![]() |
dst(P,min(R,P)) | 2500 | 48966130 | o2(x,o2(x,x)) | true | 20007 | 20007 | 0.7898 | 0.9889 | 0.7898 | 0.1251 | 0.3537 | 0 | 1 | 1 | 1 | 1.925 | 0.0004395 | 0.0004672 | 0.01246 | -0.03053 | 1 | 0.000009531 | 0.0001315 | 0.003597 | 0.0007521 | 0.02742 | 2.202 | 0.2204 | 0.007248 | 0.001051 | 1 | 1 | 0 | 0 | 0.002264 | 0 | 0 | 0.0181 | json |
| t6_x6_u0_b119 | 6 | 6 | 0 | 119 | ![]() |
dst(P,dot(R,P)) | 2501 | 48966131 | o2(x,o2(x,x)) | true | 20015 | 20015 | 0.9969 | 1 | 0.9969 | 0.002021 | 0.04496 | 0.0005898 | 1 | 0.9994 | 1 | 0.08275 | 0.00005688 | 0.00003575 | 0.0007891 | 0.2281 | 0 | -5.068e-11 | 0.00002142 | 0.0003187 | 0.00009194 | 0.009589 | 12.15 | 0.183 | 0.04583 | 0.0106 | 1 | 1 | 0 | 0 | 0.000312 | 0 | 0 | 0.1543 | json |
| t6_x6_u0_b120 | 6 | 6 | 0 | 120 | ![]() |
dst(P,dst(R,P)) | 2502 | 48966132 | o2(x,o2(x,x)) | true | 20023 | 20023 | 0.9999 | 1 | 0.9999 | 0.00001403 | 0.003746 | 0.8271 | 1 | 0.1729 | 1 | 0.0108 | 0.00000171 | 0.000001907 | 0.00006153 | -0.05446 | 0 | 0 | 0.000003443 | 0.00006412 | 0.000003612 | 0.001901 | 30.89 | 0.0994 | 0.2578 | 0.2454 | 1 | 1 | 0 | 0 | 0.00001033 | 0 | 0 | 0.736 | json |
| t6_x7_u0_b0 | 6 | 7 | 0 | 0 | ![]() |
add(P,add(R,D)) | 2503 | 49006413 | o2(x,o2(x,x)) | true | 20031 | 20031 | 0.003852 | 0.4978 | 0.9422 | 0.9215 | 0.96 | -1 | 1 | 2 | 1 | 1.954 | 0.0009658 | 0.0003588 | 0.01129 | 0.4583 | 1 | -0.00002006 | 0.0001888 | 0.003032 | 0.001197 | 0.03459 | 3.063 | 0.2576 | 0.001437 | 0.0002049 | 1 | 1 | 0 | 0 | 0.003245 | 0 | 0 | 0.003522 | json |
| t6_x7_u0_b1 | 6 | 7 | 0 | 1 | ![]() |
add(P,sub(R,D)) | 2504 | 49006414 | o2(x,o2(x,x)) | true | 20039 | 20039 | 0.003751 | 0.4968 | 0.9428 | 0.9205 | 0.9594 | -1 | 1 | 2 | 1 | 1.948 | 0.001763 | 0.0003585 | 0.01342 | 0.662 | 1 | -0.00002081 | 0.0004781 | 0.005567 | 0.001942 | 0.04407 | 3.284 | 0.3664 | 0.002304 | 0.0005194 | 1 | 1 | 0 | 0 | 0.00519 | 0 | 0 | 0.005638 | json |
| t6_x7_u0_b2 | 6 | 7 | 0 | 2 | ![]() |
add(P,mlt(R,D)) | 2505 | 49006415 | o2(x,o2(x,x)) | true | 20047 | 20047 | -0.0008696 | 0.4994 | 0.9335 | 0.9194 | 0.9588 | -1 | 1 | 2 | 1 | 1.854 | 0.0008079 | 0.00003104 | 0.008944 | 0.926 | 1 | -2.484e-7 | 0.00005599 | 0.002301 | 0.000759 | 0.02755 | 3.08 | 0.1653 | 0.0009125 | 0.0000609 | 1 | 1 | 0 | 0 | 0.00218 | 0 | 0 | 0.002372 | json |
| t6_x7_u0_b3 | 6 | 7 | 0 | 3 | ![]() |
add(P,div(R,D)) | 2506 | 49006416 | o2(x,o2(x,x)) | true | 20055 | 20055 | 0.0007881 | 0.4995 | 0.9522 | 0.9354 | 0.9672 | -1 | 1 | 2 | 1 | 1.818 | 0.3159 | 0.0206 | 0.2106 | 0.8776 | 1 | 0.0001196 | 0.7878 | 0.3563 | 0.292 | 0.5404 | 2.566 | 2.828 | 0.3597 | 0.8422 | 1 | 1 | 0 | 0 | 0.3389 | 0 | 0 | 0.3623 | json |
| t6_x7_u0_b4 | 6 | 7 | 0 | 4 | ![]() |
add(P,pow(R,D)) | 2507 | 49006417 | o2(x,o2(x,x)) | true | 20063 | 20063 | -0.9742 | 0.01297 | 0.9944 | 0.04433 | 0.2106 | -1 | 1 | 2 | 1 | 0.1813 | 0.002878 | 0.00538 | 0.005556 | -0.3029 | 1 | -3.004e-11 | 0.01696 | 0.009774 | 0.008229 | 0.09072 | 16.33 | 2.828 | 0.1863 | 0.3825 | 1 | 1 | 0 | 0 | 0.003094 | 0 | 0 | 0.06979 | json |
| t6_x7_u0_b5 | 6 | 7 | 0 | 5 | ![]() |
add(P,mod(R,D)) | 2508 | 49006418 | o2(x,o2(x,x)) | true | 20071 | 20071 | -0.000003474 | 0.4992 | 0.9383 | 0.9246 | 0.9616 | -1 | 1 | 2 | 1 | 1.829 | 0.001593 | 0.00002811 | 0.01059 | 0.9653 | 1 | -0.00000483 | 0.002353 | 0.01287 | 0.001509 | 0.03884 | 3.666 | 0.5032 | 0.001753 | 0.002545 | 1 | 1 | 0 | 0 | 0.002805 | 0 | 0 | 0.003034 | json |
| t6_x7_u0_b6 | 6 | 7 | 0 | 6 | ![]() |
add(P,lrg(R,D)) | 2509 | 49006419 | o2(x,o2(x,x)) | true | 20079 | 20079 | 0.06314 | 0.5275 | 0.9321 | 0.9133 | 0.9557 | -1 | 1 | 2 | 1 | 1.872 | 0.002589 | 0.0002254 | 0.01394 | 0.8398 | 1 | -0.00001332 | 0.003498 | 0.009582 | 0.00262 | 0.05118 | 3.673 | 0.9986 | 0.003081 | 0.00383 | 1 | 1 | 0 | 0 | 0.005541 | 0 | 0 | 0.006067 | json |
| t6_x7_u0_b7 | 6 | 7 | 0 | 7 | ![]() |
add(P,eql(R,D)) | 2510 | 49006420 | o2(x,o2(x,x)) | true | 20087 | 20087 | 0.00004008 | 0.5 | 0.9375 | 0.924 | 0.9613 | -1 | 1 | 2 | 1 | 1.813 | 0.0007197 | 1.509e-7 | 0.007967 | 0.9996 | 1 | 1.17e-7 | 0.00007637 | 0.001971 | 0.0006566 | 0.02562 | 3.216 | 0.4213 | 0.0007791 | 0.00008264 | 1 | 1 | 0 | 0 | 0.001851 | 0 | 0 | 0.002003 | json |
| t6_x7_u0_b8 | 6 | 7 | 0 | 8 | ![]() |
add(P,min(R,D)) | 2511 | 49006421 | o2(x,o2(x,x)) | true | 20095 | 20095 | -0.0352 | 0.4803 | 0.9449 | 0.9223 | 0.9604 | -1 | 1 | 2 | 1 | 1.948 | 0.0007462 | 0.0001114 | 0.008977 | 0.7402 | 1 | -0.00001048 | 0.00008144 | 0.002162 | 0.0007767 | 0.02787 | 3.104 | 0.2101 | 0.0009299 | 0.00008831 | 1 | 1 | 0 | 0 | 0.002213 | 0 | 0 | 0.002399 | json |
| t6_x7_u0_b9 | 6 | 7 | 0 | 9 | ![]() |
add(P,dot(R,D)) | 2512 | 49006422 | o2(x,o2(x,x)) | true | 20103 | 20103 | -0.0001242 | 0.5012 | 0.9327 | 0.9163 | 0.9572 | -1 | 1 | 2 | 1 | 1.934 | 0.0008357 | 0.0001316 | 0.009891 | 0.7279 | 1 | -0.000007957 | 0.0001188 | 0.002866 | 0.0008698 | 0.02949 | 2.982 | 0.2056 | 0.001056 | 0.0001296 | 1 | 1 | 0 | 0 | 0.002448 | 0 | 0 | 0.002672 | json |
| t6_x7_u0_b10 | 6 | 7 | 0 | 10 | ![]() |
add(P,dst(R,D)) | 2513 | 49006423 | o2(x,o2(x,x)) | true | 20111 | 20111 | 0.1347 | 0.5707 | 0.9351 | 0.8962 | 0.9467 | -1 | 1 | 2 | 1 | 1.979 | 0.0009387 | 0.0002197 | 0.0108 | 0.6207 | 1 | -0.00002407 | 0.0001847 | 0.003471 | 0.001043 | 0.03229 | 2.991 | 0.2751 | 0.001293 | 0.0002061 | 1 | 1 | 0 | 0 | 0.00287 | 0 | 0 | 0.003203 | json |
| t6_x7_u0_b11 | 6 | 7 | 0 | 11 | ![]() |
sub(P,add(R,D)) | 2514 | 49006424 | o2(x,o2(x,x)) | true | 20119 | 20119 | -0.004613 | 0.5034 | 0.9369 | 0.9128 | 0.9554 | -1 | 1 | 2 | 1 | 2.013 | 0.001754 | 0.0003857 | 0.01398 | 0.6395 | 1 | 0.00002058 | 0.0004675 | 0.005718 | 0.001946 | 0.04411 | 3.155 | 0.3876 | 0.002345 | 0.0005122 | 1 | 1 | 0 | 0 | 0.005271 | 0 | 0 | 0.005775 | json |
| t6_x7_u0_b12 | 6 | 7 | 0 | 12 | ![]() |
sub(P,sub(R,D)) | 2515 | 49006425 | o2(x,o2(x,x)) | true | 20127 | 20127 | -0.004594 | 0.5016 | 0.9361 | 0.9137 | 0.9559 | -1 | 1 | 2 | 1 | 2.02 | 0.000956 | 0.0003843 | 0.01199 | 0.4266 | 1 | 0.00001998 | 0.0001835 | 0.003203 | 0.001197 | 0.0346 | 2.886 | 0.2788 | 0.001467 | 0.0002009 | 1 | 1 | 0 | 0 | 0.003317 | 0 | 0 | 0.003631 | json |
| t6_x7_u0_b13 | 6 | 7 | 0 | 13 | ![]() |
sub(P,mlt(R,D)) | 2516 | 49006426 | o2(x,o2(x,x)) | true | 20135 | 20135 | 0.0005545 | 0.5 | 0.942 | 0.9282 | 0.9634 | -1 | 1 | 2 | 1 | 1.822 | 0.0008361 | 0.00003002 | 0.009041 | 0.9307 | 1 | 7.122e-8 | 0.00008062 | 0.002675 | 0.000784 | 0.028 | 3.097 | 0.1585 | 0.0009331 | 0.00008686 | 1 | 1 | 0 | 0 | 0.002224 | 0 | 0 | 0.002397 | json |
| t6_x7_u0_b14 | 6 | 7 | 0 | 14 | ![]() |
sub(P,div(R,D)) | 2517 | 49006427 | o2(x,o2(x,x)) | true | 20143 | 20143 | -0.0006465 | 0.4995 | 0.947 | 0.929 | 0.9639 | -1 | 1 | 2 | 1 | 1.855 | 0.3166 | 0.02057 | 0.2123 | 0.878 | 1 | -0.0007593 | 0.7864 | 0.3564 | 0.292 | 0.5403 | 2.545 | 2.828 | 0.3629 | 0.8465 | 1 | 1 | 0 | 0 | 0.3411 | 0 | 0 | 0.3672 | json |
| t6_x7_u0_b15 | 6 | 7 | 0 | 15 | ![]() |
sub(P,pow(R,D)) | 2518 | 49006428 | o2(x,o2(x,x)) | true | 20151 | 20151 | -0.99 | 0.003906 | 0.9978 | 0.01718 | 0.1311 | -1 | 1 | 2 | 1 | 0.0844 | 0.001274 | 0.001978 | 0.002148 | -0.2167 | 1 | -3.754e-12 | 0.006796 | 0.003879 | 0.003246 | 0.05698 | 26.52 | 2 | 0.1893 | 0.3955 | 1 | 1 | 0 | 0 | 0.00007986 | 0 | 0 | 0.004647 | json |
| t6_x7_u0_b16 | 6 | 7 | 0 | 16 | ![]() |
sub(P,mod(R,D)) | 2519 | 49006429 | o2(x,o2(x,x)) | true | 20159 | 20159 | 0.0002288 | 0.5014 | 0.9374 | 0.9234 | 0.9609 | -1 | 1 | 2 | 1 | 1.834 | 0.001602 | 0.00002798 | 0.01085 | 0.9657 | 1 | 0.000005116 | 0.002465 | 0.01327 | 0.001512 | 0.03888 | 3.585 | 0.5005 | 0.001765 | 0.002669 | 1 | 1 | 0 | 0 | 0.002758 | 0 | 0 | 0.002987 | json |
| t6_x7_u0_b17 | 6 | 7 | 0 | 17 | ![]() |
sub(P,lrg(R,D)) | 2520 | 49006430 | o2(x,o2(x,x)) | true | 20167 | 20167 | -0.067 | 0.4548 | 0.9271 | 0.9111 | 0.9545 | -1 | 1 | 2 | 1 | 1.812 | 0.00248 | 0.000243 | 0.01004 | 0.8215 | 1 | 0.00001554 | 0.003616 | 0.007898 | 0.002622 | 0.05121 | 5.099 | 1.113 | 0.002988 | 0.003969 | 1 | 1 | 0 | 0 | 0.005236 | 0 | 0 | 0.005747 | json |
| t6_x7_u0_b18 | 6 | 7 | 0 | 18 | ![]() |
sub(P,eql(R,D)) | 2521 | 49006431 | o2(x,o2(x,x)) | true | 20175 | 20175 | -0.00004007 | 0.5 | 0.9375 | 0.924 | 0.9612 | -1 | 1 | 2 | 1 | 1.813 | 0.0007211 | 1.509e-7 | 0.007968 | 0.9996 | 1 | -1.171e-7 | 0.00007649 | 0.001967 | 0.0006578 | 0.02565 | 3.219 | 0.4319 | 0.0007805 | 0.00008278 | 1 | 1 | 0 | 0 | 0.001851 | 0 | 0 | 0.002003 | json |
| t6_x7_u0_b19 | 6 | 7 | 0 | 19 | ![]() |
sub(P,min(R,D)) | 2522 | 49006432 | o2(x,o2(x,x)) | true | 20183 | 20183 | 0.03649 | 0.5198 | 0.9442 | 0.9251 | 0.9618 | -1 | 1 | 2 | 1 | 1.933 | 0.001141 | 0.0001245 | 0.01072 | 0.8033 | 1 | 0.00001069 | 0.0001911 | 0.004115 | 0.00115 | 0.03392 | 3.164 | 0.2609 | 0.001368 | 0.0002066 | 1 | 1 | 0 | 0 | 0.003185 | 0 | 0 | 0.003442 | json |
| t6_x7_u0_b20 | 6 | 7 | 0 | 20 | ![]() |
sub(P,dot(R,D)) | 2523 | 49006433 | o2(x,o2(x,x)) | true | 20191 | 20191 | 0.001093 | 0.4992 | 0.9403 | 0.923 | 0.9607 | -1 | 1 | 2 | 1 | 1.923 | 0.00086 | 0.0001394 | 0.01009 | 0.721 | 1 | -8.501e-7 | 0.0001451 | 0.003188 | 0.0008979 | 0.02997 | 2.97 | 0.2082 | 0.001083 | 0.0001572 | 1 | 1 | 0 | 0 | 0.002529 | 0 | 0 | 0.00274 | json |
| t6_x7_u0_b21 | 6 | 7 | 0 | 21 | ![]() |
sub(P,dst(R,D)) | 2524 | 49006434 | o2(x,o2(x,x)) | true | 20199 | 20199 | -0.1342 | 0.4291 | 0.9403 | 0.903 | 0.9502 | -1 | 1 | 2 | 1 | 1.93 | 0.0008742 | 0.0002173 | 0.01045 | 0.6019 | 1 | 0.000004709 | 0.0001722 | 0.003279 | 0.0009828 | 0.03135 | 3.001 | 0.2227 | 0.001209 | 0.0001907 | 1 | 1 | 0 | 0 | 0.00281 | 0 | 0 | 0.003112 | json |
| t6_x7_u0_b22 | 6 | 7 | 0 | 22 | ![]() |
mlt(P,add(R,D)) | 2525 | 49006435 | o2(x,o2(x,x)) | true | 20207 | 20207 | -0.1164 | 0.419 | 0.725 | 0.6369 | 0.7981 | -1 | 1 | 2 | 1 | 3.727 | 0.02449 | 0.01898 | 0.1072 | 0.1267 | 1 | 0.0003496 | 0.02666 | 0.06168 | 0.03198 | 0.1788 | 1.668 | 1.564 | 0.06826 | 0.04186 | 1 | 1 | 0 | 0 | 0.06047 | 0 | 0 | 0.09495 | json |
| t6_x7_u0_b23 | 6 | 7 | 0 | 23 | ![]() |
mlt(P,sub(R,D)) | 2526 | 49006436 | o2(x,o2(x,x)) | true | 20215 | 20215 | -0.001695 | 0.525 | 0.7265 | 0.6515 | 0.8072 | -1 | 1 | 2 | 1 | 3.739 | 0.02406 | 0.01918 | 0.1067 | 0.1128 | 1 | -0.0004771 | 0.02659 | 0.06058 | 0.03185 | 0.1785 | 1.673 | 1.702 | 0.06637 | 0.04082 | 1 | 1 | 0 | 0 | 0.06017 | 0 | 0 | 0.09235 | json |
| t6_x7_u0_b24 | 6 | 7 | 0 | 24 | ![]() |
mlt(P,mlt(R,D)) | 2527 | 49006437 | o2(x,o2(x,x)) | true | 20223 | 20223 | -0.01717 | 0.4898 | 0.3208 | 0.2038 | 0.4514 | -1 | 1 | 2 | 1 | 4.48 | 0.01205 | 0.003549 | 0.09069 | 0.545 | 1 | 0.0004688 | 0.003459 | 0.03184 | 0.007374 | 0.08587 | 0.9469 | 0.5898 | 0.07655 | 0.01698 | 1 | 1 | 0 | 0 | 0.01974 | 0 | 0 | 0.09686 | json |
| t6_x7_u0_b25 | 6 | 7 | 0 | 25 | ![]() |
mlt(P,div(R,D)) | 2528 | 49006438 | o2(x,o2(x,x)) | true | 20231 | 20231 | -0.01375 | 0.4867 | 0.8779 | 0.8509 | 0.9225 | -1 | 1 | 2 | 1 | 2.374 | 0.276 | 0.06376 | 0.2279 | 0.6247 | 1 | 2.656e-8 | 0.6793 | 0.3591 | 0.2879 | 0.5366 | 2.355 | 2.828 | 0.3993 | 0.7983 | 1 | 1 | 0 | 0 | 0.3634 | 0 | 0 | 0.427 | json |
| t6_x7_u0_b26 | 6 | 7 | 0 | 26 | ![]() |
mlt(P,pow(R,D)) | 2529 | 49006439 | o2(x,o2(x,x)) | true | 20239 | 20239 | -0.9841 | 0.007813 | 0.9961 | 0.02682 | 0.1638 | -1 | 1 | 2 | 1 | 0.1272 | 0.002061 | 0.003241 | 0.003391 | -0.2225 | 1 | -3.754e-11 | 0.01103 | 0.005971 | 0.005291 | 0.07274 | 21.45 | 2.828 | 0.1977 | 0.4112 | 1 | 1 | 0 | 0 | 0.0006593 | 0 | 0 | 0.02458 | json |
| t6_x7_u0_b27 | 6 | 7 | 0 | 27 | ![]() |
mlt(P,mod(R,D)) | 2530 | 49006440 | o2(x,o2(x,x)) | true | 20247 | 20247 | -0.03662 | 0.4711 | 0.325 | 0.2063 | 0.4542 | -1 | 1 | 2 | 1 | 4.507 | 0.09083 | 0.003604 | 0.2092 | 0.9237 | 1 | -0.0005052 | 0.2468 | 0.3195 | 0.05066 | 0.2251 | 1.076 | 1.482 | 0.4579 | 1.197 | 1 | 1 | 0 | 0 | 0.04802 | 0 | 0 | 0.2328 | json |
| t6_x7_u0_b28 | 6 | 7 | 0 | 28 | ![]() |
mlt(P,lrg(R,D)) | 2531 | 49006441 | o2(x,o2(x,x)) | true | 20255 | 20255 | 0.00989 | 0.4662 | 0.6634 | 0.6168 | 0.7854 | -1 | 1 | 2 | 1 | 3.335 | 0.02522 | 0.004964 | 0.07371 | 0.6711 | 1 | 0.00008339 | 0.04829 | 0.08034 | 0.02476 | 0.1574 | 2.135 | 1.099 | 0.04894 | 0.07829 | 1 | 1 | 0 | 0 | 0.03438 | 0 | 0 | 0.05575 | json |
| t6_x7_u0_b29 | 6 | 7 | 0 | 29 | ![]() |
mlt(P,eql(R,D)) | 2532 | 49006442 | o2(x,o2(x,x)) | true | 20263 | 20263 | 0.00004008 | 0.0002289 | 0.00004008 | 0.00001031 | 0.00321 | 0 | 0.3282 | 0.3282 | 1 | 0.002722 | 0.00001454 | 1.509e-7 | 0.00006305 | 0.9795 | 0 | 1.17e-7 | 0.00004407 | 0.0001242 | 0.00001469 | 0.003832 | 60.78 | 0.3186 | 1.425 | 4.276 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b30 | 6 | 7 | 0 | 30 | ![]() |
mlt(P,min(R,D)) | 2533 | 49006443 | o2(x,o2(x,x)) | true | 20271 | 20271 | -0.08391 | 0.4285 | 0.6502 | 0.5514 | 0.7426 | -1 | 1 | 2 | 1 | 4.137 | 0.0177 | 0.004752 | 0.08772 | 0.5767 | 1 | 0.000979 | 0.007868 | 0.04247 | 0.01476 | 0.1215 | 1.385 | 0.9167 | 0.04072 | 0.01427 | 1 | 1 | 0 | 0 | 0.02811 | 0 | 0 | 0.05098 | json |
| t6_x7_u0_b31 | 6 | 7 | 0 | 31 | ![]() |
mlt(P,dot(R,D)) | 2534 | 49006444 | o2(x,o2(x,x)) | true | 20279 | 20279 | -0.01513 | 0.4895 | 0.4521 | 0.3292 | 0.5737 | -1 | 1 | 2 | 1 | 4.66 | 0.01387 | 0.0134 | 0.1182 | 0.0173 | 1 | 0.0003037 | 0.007856 | 0.04478 | 0.0133 | 0.1153 | 0.9762 | 0.8156 | 0.08283 | 0.02387 | 1 | 1 | 0 | 0 | 0.03513 | 0 | 0 | 0.1067 | json |
| t6_x7_u0_b32 | 6 | 7 | 0 | 32 | ![]() |
mlt(P,dst(R,D)) | 2535 | 49006445 | o2(x,o2(x,x)) | true | 20287 | 20287 | 0.003315 | 0.5 | 0.9351 | 0.9189 | 0.9586 | -1 | 1 | 2 | 1 | 1.906 | 0.0008879 | 0.0001458 | 0.009728 | 0.7179 | 1 | 0.000003389 | 0.0002561 | 0.003565 | 0.0009395 | 0.03065 | 3.151 | 0.4649 | 0.001125 | 0.0002787 | 1 | 1 | 0 | 0 | 0.002499 | 0 | 0 | 0.002719 | json |
| t6_x7_u0_b33 | 6 | 7 | 0 | 33 | ![]() |
div(P,add(R,D)) | 2536 | 49006446 | o2(x,o2(x,x)) | true | 20295 | 20295 | -0.0585 | 0.4532 | 0.9201 | 0.8979 | 0.9476 | -1 | 1 | 2 | 1 | 2.004 | 0.4363 | 0.06902 | 0.2972 | 0.7268 | 1 | 0.001166 | 1.288 | 0.5338 | 0.4168 | 0.6456 | 2.172 | 2.828 | 0.5628 | 1.435 | 1 | 1 | 0 | 0 | 0.4402 | 0 | 0 | 0.4902 | json |
| t6_x7_u0_b34 | 6 | 7 | 0 | 34 | ![]() |
div(P,sub(R,D)) | 2537 | 49006447 | o2(x,o2(x,x)) | true | 20303 | 20303 | 0.00978 | 0.5234 | 0.9192 | 0.8999 | 0.9487 | -1 | 1 | 2 | 1 | 2.019 | 0.4313 | 0.06978 | 0.2947 | 0.7215 | 1 | 0.0002774 | 1.278 | 0.5297 | 0.414 | 0.6435 | 2.184 | 2.828 | 0.5568 | 1.421 | 1 | 1 | 0 | 0 | 0.4461 | 0 | 0 | 0.4957 | json |
| t6_x7_u0_b35 | 6 | 7 | 0 | 35 | ![]() |
div(P,mlt(R,D)) | 2538 | 49006448 | o2(x,o2(x,x)) | true | 20311 | 20311 | -0.003376 | 0.4951 | 0.9536 | 0.9454 | 0.9723 | -1 | 1 | 2 | 1 | 1.572 | 0.324 | 0.1072 | 0.2313 | 0.503 | 1 | 0.00003806 | 0.979 | 0.4424 | 0.3776 | 0.6145 | 2.657 | 2.828 | 0.4561 | 1.036 | 1 | 1 | 0 | 0 | 0.4427 | 0 | 0 | 0.4683 | json |
| t6_x7_u0_b36 | 6 | 7 | 0 | 36 | ![]() |
div(P,div(R,D)) | 2539 | 49006449 | o2(x,o2(x,x)) | true | 20319 | 20319 | 0.002374 | 0.4928 | 0.7198 | 0.6486 | 0.8054 | -1 | 1 | 2 | 1 | 3.651 | 0.09286 | 0.02917 | 0.1704 | 0.522 | 1 | 0.00007239 | 0.1622 | 0.1574 | 0.09298 | 0.3049 | 1.79 | 2.828 | 0.1881 | 0.25 | 1 | 1 | 0 | 0 | 0.1355 | 0 | 0 | 0.2089 | json |
| t6_x7_u0_b37 | 6 | 7 | 0 | 37 | ![]() |
div(P,pow(R,D)) | 2540 | 49006450 | o2(x,o2(x,x)) | true | 20327 | 20327 | -0.9846 | 0.007813 | 0.9961 | 0.02572 | 0.1604 | -1 | 1 | 2 | 1 | 0.126 | 0.002054 | 0.003097 | 0.003356 | -0.2025 | 1 | 7.884e-11 | 0.01075 | 0.005881 | 0.005139 | 0.07168 | 21.36 | 2.822 | 0.2002 | 0.4179 | 1 | 1 | 0 | 0 | 0.000581 | 0 | 0 | 0.02259 | json |
| t6_x7_u0_b38 | 6 | 7 | 0 | 38 | ![]() |
div(P,mod(R,D)) | 2541 | 49006451 | o2(x,o2(x,x)) | true | 20335 | 20335 | -0.05644 | 0.4729 | 0.9598 | 0.9494 | 0.9744 | -1 | 1 | 2 | 1 | 1.521 | 0.3672 | 0.1146 | 0.2501 | 0.5242 | 1 | 0.0006912 | 1.573 | 0.5031 | 0.4193 | 0.6475 | 2.589 | 2.828 | 0.5076 | 1.657 | 1 | 1 | 0 | 0 | 0.3467 | 0 | 0 | 0.3652 | json |
| t6_x7_u0_b39 | 6 | 7 | 0 | 39 | ![]() |
div(P,lrg(R,D)) | 2542 | 49006452 | o2(x,o2(x,x)) | true | 20343 | 20343 | -0.9358 | 0.03442 | 0.9937 | 0.1171 | 0.3421 | -1 | 1 | 2 | 1 | 0.2841 | 0.0366 | 0.01079 | 0.02541 | 0.5448 | 1 | 2.403e-10 | 0.1034 | 0.05061 | 0.04677 | 0.2163 | 8.511 | 2.828 | 0.4048 | 0.8835 | 1 | 1 | 0 | 0 | 0.04797 | 0 | 0 | 0.4098 | json |
| t6_x7_u0_b40 | 6 | 7 | 0 | 40 | ![]() |
div(P,eql(R,D)) | 2543 | 49006453 | o2(x,o2(x,x)) | true | 20351 | 20351 | -1 | 0 | 1 | 0 | 0 | -1 | -1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b41 | 6 | 7 | 0 | 41 | ![]() |
div(P,min(R,D)) | 2544 | 49006454 | o2(x,o2(x,x)) | true | 20359 | 20359 | -0.0883 | 0.4437 | 0.9392 | 0.919 | 0.9586 | -1 | 1 | 2 | 1 | 1.734 | 0.2402 | 0.04967 | 0.1721 | 0.6573 | 1 | -0.00008354 | 0.6687 | 0.3057 | 0.2601 | 0.51 | 2.963 | 2.828 | 0.3154 | 0.7276 | 1 | 1 | 0 | 0 | 0.2863 | 0 | 0 | 0.3115 | json |
| t6_x7_u0_b42 | 6 | 7 | 0 | 42 | ![]() |
div(P,dot(R,D)) | 2545 | 49006455 | o2(x,o2(x,x)) | true | 20367 | 20367 | -0.009967 | 0.4902 | 0.9498 | 0.94 | 0.9696 | -1 | 1 | 2 | 1 | 1.628 | 0.3853 | 0.3797 | 0.372 | 0.007335 | 1 | 0.0001742 | 2.668 | 0.7828 | 0.6266 | 0.7916 | 2.128 | 2.828 | 0.8138 | 2.838 | 1 | 1 | 0 | 0 | 0.7029 | 0 | 0 | 0.7477 | json |
| t6_x7_u0_b43 | 6 | 7 | 0 | 43 | ![]() |
div(P,dst(R,D)) | 2546 | 49006456 | o2(x,o2(x,x)) | true | 20375 | 20375 | -0.001775 | 0.5 | 0.9292 | 0.9118 | 0.9549 | -1 | 1 | 2 | 1 | 2.001 | 0.0007794 | 0.00007862 | 0.008954 | 0.8167 | 1 | -0.000007569 | 0.0001836 | 0.003061 | 0.0007778 | 0.02789 | 3.115 | 0.4048 | 0.000941 | 0.0002013 | 1 | 1 | 0 | 0 | 0.002301 | 0 | 0 | 0.002523 | json |
| t6_x7_u0_b44 | 6 | 7 | 0 | 44 | ![]() |
pow(P,add(R,D)) | 2547 | 49006457 | o2(x,o2(x,x)) | true | 20383 | 20383 | -0.1397 | 0.4678 | 0.9248 | 0.8671 | 0.9312 | -1 | 1 | 2 | 1 | 2.182 | 0.01162 | 0.003136 | 0.02293 | 0.5749 | 1 | -0.0001729 | 0.02814 | 0.0235 | 0.01424 | 0.1193 | 5.203 | 2.823 | 0.01702 | 0.03245 | 1 | 1 | 0 | 0 | 0.02129 | 0 | 0 | 0.02455 | json |
| t6_x7_u0_b45 | 6 | 7 | 0 | 45 | ![]() |
pow(P,sub(R,D)) | 2548 | 49006458 | o2(x,o2(x,x)) | true | 20391 | 20391 | -0.173 | 0.4436 | 0.9398 | 0.881 | 0.9386 | -1 | 1 | 2 | 1 | 1.961 | 0.01938 | 0.00141 | 0.02328 | 0.8643 | 1 | -0.0001184 | 0.04046 | 0.02955 | 0.02024 | 0.1423 | 6.111 | 2.039 | 0.0236 | 0.04592 | 1 | 1 | 0 | 0 | 0.02764 | 0 | 0 | 0.03138 | json |
| t6_x7_u0_b46 | 6 | 7 | 0 | 46 | ![]() |
pow(P,mlt(R,D)) | 2549 | 49006459 | o2(x,o2(x,x)) | true | 20399 | 20399 | -0.1214 | 0.4531 | 0.9724 | 0.9405 | 0.9698 | -1 | 1 | 2 | 1 | 1.664 | 0.01314 | 0.003703 | 0.01642 | 0.5603 | 1 | 0.00007132 | 0.03398 | 0.02194 | 0.01656 | 0.1287 | 7.839 | 2.828 | 0.01791 | 0.03613 | 1 | 1 | 0 | 0 | 0.02305 | 0 | 0 | 0.02451 | json |
| t6_x7_u0_b47 | 6 | 7 | 0 | 47 | ![]() |
pow(P,div(R,D)) | 2550 | 49006460 | o2(x,o2(x,x)) | true | 20407 | 20407 | -0.1782 | 0.4526 | 0.9155 | 0.865 | 0.93 | -1 | 1 | 2 | 1 | 1.872 | 0.02728 | 0.007208 | 0.04224 | 0.582 | 1 | -0.0001292 | 0.07102 | 0.06168 | 0.03272 | 0.1809 | 4.282 | 2.828 | 0.03988 | 0.0821 | 1 | 1 | 0 | 0 | 0.04291 | 0 | 0 | 0.04961 | json |
| t6_x7_u0_b48 | 6 | 7 | 0 | 48 | ![]() |
pow(P,pow(R,D)) | 2551 | 49006461 | o2(x,o2(x,x)) | true | 20415 | 20415 | -0.9609 | 0.02344 | 0.9922 | 0.06706 | 0.259 | -1 | 1 | 2 | 1 | 0.226 | 0.0079 | 0.006387 | 0.008969 | 0.1059 | 1 | -1.201e-10 | 0.03013 | 0.01633 | 0.01421 | 0.1192 | 13.29 | 2.828 | 0.213 | 0.4493 | 1 | 1 | 0 | 0 | 0.01203 | 0 | 0 | 0.1794 | json |
| t6_x7_u0_b49 | 6 | 7 | 0 | 49 | ![]() |
pow(P,mod(R,D)) | 2552 | 49006462 | o2(x,o2(x,x)) | true | 20423 | 20423 | -0.1261 | 0.4531 | 0.9677 | 0.9312 | 0.965 | -1 | 1 | 2 | 1 | 1.756 | 0.01492 | 0.003693 | 0.0267 | 0.6031 | 1 | 0.00006918 | 0.03942 | 0.04531 | 0.0179 | 0.1338 | 5.011 | 2.828 | 0.01998 | 0.04234 | 1 | 1 | 0 | 0 | 0.02379 | 0 | 0 | 0.02555 | json |
| t6_x7_u0_b50 | 6 | 7 | 0 | 50 | ![]() |
pow(P,lrg(R,D)) | 2553 | 49006463 | o2(x,o2(x,x)) | true | 20431 | 20431 | 0.08741 | 0.5537 | 0.98 | 0.9674 | 0.9836 | -1 | 1 | 2 | 1 | 1.3 | 0.05371 | 0.01387 | 0.0378 | 0.5894 | 1 | 0.000002773 | 0.1545 | 0.07187 | 0.06618 | 0.2572 | 6.805 | 2.828 | 0.06986 | 0.1597 | 1 | 1 | 0 | 0 | 0.06436 | 0 | 0 | 0.06653 | json |
| t6_x7_u0_b51 | 6 | 7 | 0 | 51 | ![]() |
pow(P,eql(R,D)) | 2554 | 49006464 | o2(x,o2(x,x)) | true | 20439 | 20439 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b52 | 6 | 7 | 0 | 52 | ![]() |
pow(P,min(R,D)) | 2555 | 49006465 | o2(x,o2(x,x)) | true | 20447 | 20447 | -0.2209 | 0.4531 | 0.8729 | 0.7584 | 0.8709 | -1 | 1 | 2 | 1 | 2.573 | 0.01361 | 0.003981 | 0.02571 | 0.5473 | 1 | 0.00008409 | 0.03419 | 0.02481 | 0.01693 | 0.1301 | 5.062 | 2.828 | 0.02319 | 0.04508 | 1 | 1 | 0 | 0 | 0.0241 | 0 | 0 | 0.03177 | json |
| t6_x7_u0_b53 | 6 | 7 | 0 | 53 | ![]() |
pow(P,dot(R,D)) | 2556 | 49006466 | o2(x,o2(x,x)) | true | 20455 | 20455 | -0.1286 | 0.453 | 0.9655 | 0.9265 | 0.9625 | -1 | 1 | 2 | 1 | 1.791 | 0.01519 | 0.005613 | 0.0206 | 0.4604 | 1 | -0.00003088 | 0.05161 | 0.0279 | 0.02037 | 0.1427 | 6.928 | 2.828 | 0.02245 | 0.05571 | 1 | 1 | 0 | 0 | 0.02938 | 0 | 0 | 0.03172 | json |
| t6_x7_u0_b54 | 6 | 7 | 0 | 54 | ![]() |
pow(P,dst(R,D)) | 2557 | 49006467 | o2(x,o2(x,x)) | true | 20463 | 20463 | -0.03125 | 0.5 | 0.9688 | 0.9603 | 0.98 | -1 | 1 | 2 | 1 | 1.406 | 0.004323 | 0 | 0.007937 | 1 | 1 | -9.386e-13 | 0.007903 | 0.008812 | 0.004259 | 0.06526 | 8.223 | 1 | 0.004502 | 0.008229 | 1 | 1 | 0 | 0 | 0.006228 | 0 | 0 | 0.006485 | json |
| t6_x7_u0_b55 | 6 | 7 | 0 | 55 | ![]() |
mod(P,add(R,D)) | 2558 | 49006468 | o2(x,o2(x,x)) | true | 20471 | 20471 | -0.002551 | 0.4979 | 0.2709 | 0.116 | 0.3406 | -1 | 1 | 2 | 1 | 4.483 | 0.04248 | 0.0005565 | 0.1498 | 0.9741 | 1 | -0.0001932 | 0.1234 | 0.2385 | 0.02059 | 0.1435 | 0.9579 | 0.9706 | 0.3709 | 1.064 | 1 | 1 | 0 | 0 | 0.02506 | 0 | 0 | 0.2159 | json |
| t6_x7_u0_b56 | 6 | 7 | 0 | 56 | ![]() |
mod(P,sub(R,D)) | 2559 | 49006469 | o2(x,o2(x,x)) | true | 20479 | 20479 | 0.001457 | 0.4989 | 0.2699 | 0.115 | 0.3391 | -1 | 1 | 2 | 1 | 4.476 | 0.04137 | 0.0005646 | 0.1475 | 0.9731 | 1 | 0.00007916 | 0.1191 | 0.2334 | 0.02016 | 0.142 | 0.9624 | 0.9674 | 0.3646 | 1.036 | 1 | 1 | 0 | 0 | 0.02492 | 0 | 0 | 0.2167 | json |
| t6_x7_u0_b57 | 6 | 7 | 0 | 57 | ![]() |
mod(P,mlt(R,D)) | 2560 | 49006470 | o2(x,o2(x,x)) | true | 20487 | 20487 | -0.0005417 | 0.4958 | 0.06844 | 0.008622 | 0.09286 | -0.4143 | 0.3745 | 0.7888 | 1 | 2.617 | 0.002681 | 0.00003063 | 0.03639 | 0.9774 | 1 | 0.00007075 | 0.007136 | 0.05757 | 0.001387 | 0.03724 | 1.023 | 0.3029 | 0.3145 | 0.8276 | 1 | 1 | 0 | 0 | 0.001838 | 0 | 0 | 0.2131 | json |
| t6_x7_u0_b58 | 6 | 7 | 0 | 58 | ![]() |
mod(P,div(R,D)) | 2561 | 49006471 | o2(x,o2(x,x)) | true | 20495 | 20495 | -0.0004376 | 0.4959 | 0.6741 | 0.5739 | 0.7576 | -1 | 1 | 2 | 1 | 4.206 | 0.09261 | 0.001707 | 0.1974 | 0.9638 | 1 | -0.0002646 | 0.2712 | 0.3439 | 0.05538 | 0.2353 | 1.192 | 0.9973 | 0.1643 | 0.4725 | 1 | 1 | 0 | 0 | 0.05185 | 0 | 0 | 0.09034 | json |
| t6_x7_u0_b59 | 6 | 7 | 0 | 59 | ![]() |
mod(P,pow(R,D)) | 2562 | 49006472 | o2(x,o2(x,x)) | true | 20503 | 20503 | -0.9703 | 0.007813 | 0.9785 | 0.03053 | 0.1747 | -1 | 0.9997 | 2 | 1 | 0.4164 | 0.005509 | 0.003489 | 0.01267 | 0.2245 | 1 | 0.00008667 | 0.02102 | 0.02005 | 0.008839 | 0.09401 | 7.418 | 2.828 | 0.2947 | 0.6884 | 1 | 1 | 0 | 0 | 0.003559 | 0 | 0 | 0.1166 | json |
| t6_x7_u0_b60 | 6 | 7 | 0 | 60 | ![]() |
mod(P,mod(R,D)) | 2563 | 49006473 | o2(x,o2(x,x)) | true | 20511 | 20511 | 0.001423 | 0.4957 | 0.0643 | 0.007601 | 0.08718 | -0.3439 | 0.3849 | 0.7288 | 1 | 2.538 | 0.003116 | 0.0000273 | 0.0375 | 0.9826 | 1 | -0.00005542 | 0.008397 | 0.06135 | 0.001737 | 0.04168 | 1.111 | 0.2981 | 0.4136 | 1.105 | 1 | 1 | 0 | 0 | 0.002005 | 0 | 0 | 0.2637 | json |
| t6_x7_u0_b61 | 6 | 7 | 0 | 61 | ![]() |
mod(P,lrg(R,D)) | 2564 | 49006474 | o2(x,o2(x,x)) | true | 20519 | 20519 | -0.9312 | 0 | 0.9312 | 0.06407 | 0.2531 | -1 | 0 | 1 | 1 | 0.3616 | 0.02485 | 0.005574 | 0.03011 | 0.6335 | 1 | 0 | 0.068 | 0.06085 | 0.0295 | 0.1717 | 5.704 | 1.414 | 0.4748 | 1.061 | 1 | 1 | 0 | 0 | 0.02749 | 0 | 0 | 0.4291 | json |
| t6_x7_u0_b62 | 6 | 7 | 0 | 62 | ![]() |
mod(P,eql(R,D)) | 2565 | 49006475 | o2(x,o2(x,x)) | true | 20527 | 20527 | -1 | 0 | 1 | 0 | 0 | -1 | -1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b63 | 6 | 7 | 0 | 63 | ![]() |
mod(P,min(R,D)) | 2566 | 49006476 | o2(x,o2(x,x)) | true | 20535 | 20535 | 0.01093 | 0.4857 | 0.1785 | 0.05196 | 0.2279 | -0.8077 | 0.7928 | 1.6 | 1 | 3.871 | 0.004123 | 0.0002095 | 0.04771 | 0.9033 | 1 | 3.423e-7 | 0.01008 | 0.06684 | 0.002057 | 0.04535 | 0.9506 | 0.284 | 0.08339 | 0.194 | 1 | 1 | 0 | 0 | 0.003387 | 0 | 0 | 0.0652 | json |
| t6_x7_u0_b64 | 6 | 7 | 0 | 64 | ![]() |
mod(P,dot(R,D)) | 2567 | 49006477 | o2(x,o2(x,x)) | true | 20543 | 20543 | 0.0001791 | 0.4971 | 0.1032 | 0.01727 | 0.1314 | -0.5336 | 0.5486 | 1.082 | 1 | 3.13 | 0.005487 | 0.005513 | 0.0821 | -0.002374 | 1 | 0.00002183 | 0.05444 | 0.1658 | 0.00426 | 0.06527 | 0.795 | 0.57 | 0.637 | 3.153 | 1 | 1 | 0 | 0 | 0.005907 | 0 | 0 | 0.3421 | json |
| t6_x7_u0_b65 | 6 | 7 | 0 | 65 | ![]() |
mod(P,dst(R,D)) | 2568 | 49006478 | o2(x,o2(x,x)) | true | 20551 | 20551 | 0.003331 | 0.4995 | 0.5073 | 0.3371 | 0.5806 | -1 | 1 | 2 | 1 | 4.961 | 0.05179 | 0.05142 | 0.2236 | 0.0036 | 1 | 0.0002037 | 0.412 | 0.3923 | 0.05323 | 0.2307 | 1.032 | 1.398 | 0.3061 | 1.222 | 1 | 1 | 0 | 0 | 0.07082 | 0 | 0 | 0.2101 | json |
| t6_x7_u0_b66 | 6 | 7 | 0 | 66 | ![]() |
lrg(P,add(R,D)) | 2569 | 49006479 | o2(x,o2(x,x)) | true | 20559 | 20559 | 0.4983 | 0.5748 | 0.4983 | 0.2332 | 0.4829 | 0 | 1 | 1 | 1 | 1.707 | 0.002579 | 0.0001747 | 0.01255 | 0.8731 | 1 | 0.000009607 | 0.004619 | 0.009851 | 0.002597 | 0.05096 | 4.059 | 0.9926 | 0.01181 | 0.01981 | 1 | 1 | 0 | 0 | 0.003607 | 0 | 0 | 0.01547 | json |
| t6_x7_u0_b67 | 6 | 7 | 0 | 67 | ![]() |
lrg(P,sub(R,D)) | 2570 | 49006480 | o2(x,o2(x,x)) | true | 20567 | 20567 | 0.4983 | 0.5367 | 0.4983 | 0.2404 | 0.4904 | 0 | 1 | 1 | 1 | 1.441 | 0.002564 | 0.000168 | 0.008601 | 0.877 | 1 | 0.000009608 | 0.004735 | 0.008797 | 0.002659 | 0.05157 | 5.995 | 0.9997 | 0.01136 | 0.01969 | 1 | 1 | 0 | 0 | 0.003586 | 0 | 0 | 0.01492 | json |
| t6_x7_u0_b68 | 6 | 7 | 0 | 68 | ![]() |
lrg(P,mlt(R,D)) | 2571 | 49006481 | o2(x,o2(x,x)) | true | 20575 | 20575 | 0.5 | 0.5378 | 0.5 | 0.2421 | 0.492 | 0 | 1 | 1 | 1 | 1.382 | 0.003597 | 0.0001053 | 0.007956 | 0.9431 | 1 | -3.229e-10 | 0.006751 | 0.008078 | 0.003638 | 0.06032 | 7.581 | 1 | 0.01529 | 0.02789 | 1 | 1 | 0 | 0 | 0.005344 | 0 | 0 | 0.02207 | json |
| t6_x7_u0_b69 | 6 | 7 | 0 | 69 | ![]() |
lrg(P,div(R,D)) | 2572 | 49006482 | o2(x,o2(x,x)) | true | 20583 | 20583 | 0.4994 | 0.6639 | 0.4994 | 0.2145 | 0.4631 | 0 | 1 | 1 | 1 | 2.252 | 0.07443 | 0.001095 | 0.1036 | 0.971 | 1 | -0.000505 | 0.1656 | 0.1758 | 0.06478 | 0.2545 | 2.456 | 1 | 0.3522 | 0.7721 | 1 | 1 | 0 | 0 | 0.0765 | 0 | 0 | 0.3567 | json |
| t6_x7_u0_b70 | 6 | 7 | 0 | 70 | ![]() |
lrg(P,pow(R,D)) | 2573 | 49006483 | o2(x,o2(x,x)) | true | 20591 | 20591 | 0.7115 | 0.9524 | 0.7115 | 0.1529 | 0.3911 | 0 | 1 | 1 | 1 | 2.46 | 0.003508 | 0.001328 | 0.03155 | 0.4508 | 1 | 3.482e-8 | 0.005093 | 0.01323 | 0.003839 | 0.06196 | 1.964 | 1 | 0.03162 | 0.0333 | 1 | 1 | 0 | 0 | 0.007741 | 0 | 0 | 0.05061 | json |
| t6_x7_u0_b71 | 6 | 7 | 0 | 71 | ![]() |
lrg(P,mod(R,D)) | 2574 | 49006484 | o2(x,o2(x,x)) | true | 20599 | 20599 | 0.5039 | 0.5456 | 0.5039 | 0.2412 | 0.4911 | 0 | 1 | 1 | 1 | 1.415 | 0.0003238 | 0.0001053 | 0.004981 | 0.5091 | 1 | 0.000005704 | 0.00002256 | 0.001187 | 0.0004044 | 0.02011 | 4.037 | 0.1169 | 0.001779 | 0.00009352 | 1 | 1 | 0 | 0 | 0.001146 | 0 | 0 | 0.004753 | json |
| t6_x7_u0_b72 | 6 | 7 | 0 | 72 | ![]() |
lrg(P,lrg(R,D)) | 2575 | 49006485 | o2(x,o2(x,x)) | true | 20607 | 20607 | 0.4288 | 0.4552 | 0.4288 | 0.2382 | 0.4881 | 0 | 1 | 1 | 1 | 1.313 | 0.001212 | 0.0001361 | 0.005247 | 0.798 | 1 | 0.00001114 | 0.001947 | 0.004038 | 0.001321 | 0.03634 | 6.927 | 0.9997 | 0.005658 | 0.008172 | 1 | 1 | 0 | 0 | 0.002631 | 0 | 0 | 0.01104 | json |
| t6_x7_u0_b73 | 6 | 7 | 0 | 73 | ![]() |
lrg(P,eql(R,D)) | 2576 | 49006486 | o2(x,o2(x,x)) | true | 20615 | 20615 | 0.4687 | 0.5 | 0.4687 | 0.2423 | 0.4922 | 0 | 1 | 1 | 1 | 1.326 | 0.0003681 | 1.509e-7 | 0.004 | 0.9992 | 1 | -1.175e-7 | 0.00006033 | 0.001044 | 0.0003522 | 0.01877 | 4.692 | 0.4319 | 0.00152 | 0.000249 | 1 | 1 | 0 | 0 | 0.0009255 | 0 | 0 | 0.00382 | json |
| t6_x7_u0_b74 | 6 | 7 | 0 | 74 | ![]() |
lrg(P,min(R,D)) | 2577 | 49006487 | o2(x,o2(x,x)) | true | 20623 | 20623 | 0.5176 | 0.5625 | 0.5176 | 0.2389 | 0.4888 | 0 | 1 | 1 | 1 | 1.486 | 0.002093 | 0.00005267 | 0.007983 | 0.9509 | 1 | 0.000002852 | 0.003286 | 0.004977 | 0.002081 | 0.04562 | 5.715 | 0.9994 | 0.008984 | 0.01375 | 1 | 1 | 0 | 0 | 0.003596 | 0 | 0 | 0.01505 | json |
| t6_x7_u0_b75 | 6 | 7 | 0 | 75 | ![]() |
lrg(P,dot(R,D)) | 2578 | 49006488 | o2(x,o2(x,x)) | true | 20631 | 20631 | 0.499 | 0.5445 | 0.499 | 0.2411 | 0.491 | 0 | 1 | 1 | 1 | 1.421 | 0.002838 | 0.001955 | 0.01021 | 0.1843 | 1 | 0.00001934 | 0.01541 | 0.01267 | 0.004689 | 0.06847 | 6.708 | 1.409 | 0.01988 | 0.06391 | 1 | 1 | 0 | 0 | 0.006801 | 0 | 0 | 0.02821 | json |
| t6_x7_u0_b76 | 6 | 7 | 0 | 76 | ![]() |
lrg(P,dst(R,D)) | 2579 | 49006489 | o2(x,o2(x,x)) | true | 20639 | 20639 | 0.4297 | 0.4641 | 0.4297 | 0.2373 | 0.4872 | 0 | 1 | 1 | 1 | 1.36 | 0.001877 | 0.001644 | 0.008279 | 0.06628 | 1 | -0.000001305 | 0.01025 | 0.01037 | 0.003449 | 0.05873 | 7.094 | 1.404 | 0.01484 | 0.04321 | 1 | 1 | 0 | 0 | 0.005235 | 0 | 0 | 0.02206 | json |
| t6_x7_u0_b77 | 6 | 7 | 0 | 77 | ![]() |
eql(P,add(R,D)) | 2580 | 49006490 | o2(x,o2(x,x)) | true | 20647 | 20647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b78 | 6 | 7 | 0 | 78 | ![]() |
eql(P,sub(R,D)) | 2581 | 49006491 | o2(x,o2(x,x)) | true | 20655 | 20655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b79 | 6 | 7 | 0 | 79 | ![]() |
eql(P,mlt(R,D)) | 2582 | 49006492 | o2(x,o2(x,x)) | true | 20663 | 20663 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b80 | 6 | 7 | 0 | 80 | ![]() |
eql(P,div(R,D)) | 2583 | 49006493 | o2(x,o2(x,x)) | true | 20671 | 20671 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b81 | 6 | 7 | 0 | 81 | ![]() |
eql(P,pow(R,D)) | 2584 | 49006494 | o2(x,o2(x,x)) | true | 20679 | 20679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b82 | 6 | 7 | 0 | 82 | ![]() |
eql(P,mod(R,D)) | 2585 | 49006495 | o2(x,o2(x,x)) | true | 20687 | 20687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b83 | 6 | 7 | 0 | 83 | ![]() |
eql(P,lrg(R,D)) | 2586 | 49006496 | o2(x,o2(x,x)) | true | 20695 | 20695 | 0.07581 | 0.134 | 0.07581 | 0.05735 | 0.2395 | 0 | 1 | 1 | 1 | 0.878 | 0.002091 | 0.0002371 | 0.009857 | 0.7963 | 1 | -0.000008333 | 0.003172 | 0.007306 | 0.002231 | 0.04724 | 4.792 | 0.9997 | 0.0406 | 0.05531 | 1 | 1 | 0 | 0 | 0.004333 | 0 | 0 | 0.07556 | json |
| t6_x7_u0_b84 | 6 | 7 | 0 | 84 | ![]() |
eql(P,eql(R,D)) | 2587 | 49006497 | o2(x,o2(x,x)) | true | 20703 | 20703 | 0.06254 | 0.125 | 0.06254 | 0.04512 | 0.2124 | 0 | 0.9999 | 0.9999 | 1 | 0.8129 | 0.0007211 | 1.509e-7 | 0.007966 | 0.9996 | 1 | 1.161e-7 | 0.00007655 | 0.001972 | 0.0006579 | 0.02565 | 3.22 | 0.4319 | 0.01598 | 0.001697 | 1 | 1 | 0 | 0 | 0.001851 | 0 | 0 | 0.04102 | json |
| t6_x7_u0_b85 | 6 | 7 | 0 | 85 | ![]() |
eql(P,min(R,D)) | 2588 | 49006498 | o2(x,o2(x,x)) | true | 20711 | 20711 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b86 | 6 | 7 | 0 | 86 | ![]() |
eql(P,dot(R,D)) | 2589 | 49006499 | o2(x,o2(x,x)) | true | 20719 | 20719 | 0.00002339 | 0.00006104 | 0.00002339 | 0.00001388 | 0.003725 | 0 | 0.6669 | 0.6669 | 1 | 0.001004 | 0.00002864 | 0.00002864 | 0.00008242 | 0 | 0 | 0 | 0.0002864 | 0.0001931 | 0.00005727 | 0.007568 | 91.82 | 0.9432 | 4.128 | 20.64 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | json |
| t6_x7_u0_b87 | 6 | 7 | 0 | 87 | ![]() |
eql(P,dst(R,D)) | 2590 | 49006500 | o2(x,o2(x,x)) | true | 20727 | 20727 | 0.00001866 | 0.0001068 | 0.00001866 | 0.00001186 | 0.003444 | 0 | 0.8547 | 0.8547 | 1 | 0.0007985 | 0.00002449 | 0.00002449 | 0.00006575 | 0 | 0 | 0 | 0.0002449 | 0.0001541 | 0.00004897 | 0.006998 | 106.4 | 1.209 | 4.128 | 20.64 | 1 | 1 | 0 | 0 | 0.000002607 | 0 | 0 | 0.2197 | json |
| t6_x7_u0_b88 | 6 | 7 | 0 | 88 | ![]() |
min(P,add(R,D)) | 2591 | 49006501 | o2(x,o2(x,x)) | true | 20735 | 20735 | -0.5049 | 0.2197 | 0.6746 | 0.33 | 0.5745 | -1 | 1 | 2 | 1 | 3.52 | 0.002449 | 0.001448 | 0.04007 | 0.2566 | 1 | 0.0001566 | 0.0003171 | 0.01004 | 0.00229 | 0.04786 | 1.194 | 0.266 | 0.01181 | 0.0009609 | 1 | 1 | 0 | 0 | 0.007771 | 0 | 0 | 0.02354 | json |
| t6_x7_u0_b89 | 6 | 7 | 0 | 89 | ![]() |
min(P,sub(R,D)) | 2592 | 49006502 | o2(x,o2(x,x)) | true | 20743 | 20743 | -0.4886 | 0.2326 | 0.6701 | 0.3384 | 0.5817 | -1 | 1 | 2 | 1 | 3.617 | 0.002619 | 0.001457 | 0.0411 | 0.285 | 1 | -0.0001569 | 0.0003416 | 0.01061 | 0.002388 | 0.04886 | 1.189 | 0.2412 | 0.01205 | 0.00101 | 1 | 1 | 0 | 0 | 0.008053 | 0 | 0 | 0.0238 | json |
| t6_x7_u0_b90 | 6 | 7 | 0 | 90 | ![]() |
min(P,mlt(R,D)) | 2593 | 49006503 | o2(x,o2(x,x)) | true | 20751 | 20751 | -0.4746 | 0.2391 | 0.5174 | 0.2465 | 0.4965 | -1 | 0.4218 | 1.422 | 1 | 2.809 | 0.0007366 | 0.0001178 | 0.018 | 0.7243 | 1 | 0.00001199 | 0.00006815 | 0.004921 | 0.0005303 | 0.02303 | 1.279 | 0.1169 | 0.003467 | 0.0002765 | 1 | 1 | 0 | 0 | 0.001868 | 0 | 0 | 0.007578 | json |
| t6_x7_u0_b91 | 6 | 7 | 0 | 91 | ![]() |
min(P,div(R,D)) | 2594 | 49006504 | o2(x,o2(x,x)) | true | 20759 | 20759 | -0.5286 | 0.2271 | 0.8742 | 0.5576 | 0.7467 | -1 | 1 | 2 | 1 | 2.363 | 0.109 | 0.01328 | 0.1143 | 0.7826 | 1 | -0.000006217 | 0.2313 | 0.1419 | 0.1092 | 0.3305 | 2.892 | 2.828 | 0.2192 | 0.4149 | 1 | 1 | 0 | 0 | 0.1437 | 0 | 0 | 0.2577 | json |
| t6_x7_u0_b92 | 6 | 7 | 0 | 92 | ![]() |
min(P,pow(R,D)) | 2595 | 49006505 | o2(x,o2(x,x)) | true | 20767 | 20767 | -0.002731 | 0.5 | 0.9348 | 0.9192 | 0.9588 | -1 | 1 | 2 | 1 | 1.899 | 0.0007808 | 0.00003904 | 0.009427 | 0.9048 | 1 | 4.617e-7 | 0.0001318 | 0.003291 | 0.0007309 | 0.02704 | 2.868 | 0.249 | 0.0008919 | 0.0001434 | 1 | 1 | 0 | 0 | 0.002054 | 0 | 0 | 0.002235 | json |
| t6_x7_u0_b93 | 6 | 7 | 0 | 93 | ![]() |
min(P,mod(R,D)) | 2596 | 49006506 | o2(x,o2(x,x)) | true | 20775 | 20775 | -0.4796 | 0.214 | 0.5141 | 0.2411 | 0.491 | -1 | 0.4215 | 1.422 | 1 | 2.747 | 0.00379 | 0.0001093 | 0.03542 | 0.9439 | 1 | -0.00004424 | 0.009241 | 0.05021 | 0.002645 | 0.05142 | 1.452 | 0.3836 | 0.01618 | 0.03833 | 1 | 1 | 0 | 0 | 0.003586 | 0 | 0 | 0.01488 | json |
| t6_x7_u0_b94 | 6 | 7 | 0 | 94 | ![]() |
min(P,lrg(R,D)) | 2597 | 49006507 | o2(x,o2(x,x)) | true | 20783 | 20783 | -0.2374 | 0.4651 | 0.7001 | 0.5835 | 0.7638 | -1 | 1 | 2 | 1 | 3.186 | 0.01023 | 0.001034 | 0.04502 | 0.8164 | 1 | 0.00003414 | 0.0183 | 0.03545 | 0.009238 | 0.09612 | 2.135 | 0.9997 | 0.01931 | 0.03136 | 1 | 1 | 0 | 0 | 0.01267 | 0 | 0 | 0.02171 | json |
| t6_x7_u0_b95 | 6 | 7 | 0 | 95 | ![]() |
min(P,eql(R,D)) | 2598 | 49006508 | o2(x,o2(x,x)) | true | 20791 | 20791 | -0.4687 | 0.0002289 | 0.4688 | 0.2423 | 0.4922 | -1 | 0.3282 | 1.328 | 1 | 1.409 | 0.0003675 | 1.509e-7 | 0.004031 | 0.9992 | 1 | 1.175e-7 | 0.00006027 | 0.001052 | 0.0003516 | 0.01875 | 4.651 | 0.3186 | 0.001517 | 0.0002487 | 1 | 1 | 0 | 0 | 0.0009255 | 0 | 0 | 0.003819 | json |
| t6_x7_u0_b96 | 6 | 7 | 0 | 96 | ![]() |
min(P,min(R,D)) | 2599 | 49006509 | o2(x,o2(x,x)) | true | 20799 | 20799 | -0.6345 | 0.06482 | 0.6451 | 0.1545 | 0.393 | -1 | 0.1454 | 1.145 | 1 | 3.174 | 0.001011 | 0.000522 | 0.02506 | 0.3192 | 1 | 0.00008678 | 0.0001427 | 0.007022 | 0.0009058 | 0.0301 | 1.201 | 0.1528 | 0.009926 | 0.0009237 | 1 | 1 | 0 | 0 | 0.00302 | 0 | 0 | 0.01955 | json |



































































































