Margin system collapse in utilities @ top work sheet

58807dda-3b8e-4c9d-bfd7-e80fde192678 6 4 5 decimal

&[DATE] &[TIME] - &[FILENAME]

============ Unary ▼ radius /radials ===============

set 'N' radials

size radials s 1.25 :

r 1 : N 360 : 12 mat step 011 N / range : r θ f r i θ * exp * : 31 sys

step real r 2 π * step * f Re : step imag 12 π * step * f Im : X step real vectorize eval s * : Y step imag vectorize eval s * : 12 mat 31 sys

From here . . .

1. Set N radials

2. Size s radials

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circle X Y augment :

circle

sweep angle ° j 360 :

i 1 j range vx i 2 * el X i el : for

i 1 j range vy i 2 * el Y i el : for

sweep vx vy augment :

pie p1 sweep 1120 range 12 range el : p2 sweep 121180 range 12 range el : p3 sweep 181270 range 12 range el : p4 sweep 271540 range 12 range el : p5 sweep 541720 range 12 range el : 51 sys :

pie 1 1 sys

Adjustable aperture . . . project

for Ω=1 aperture disappears . . . experiment

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clear  previous 'i' range i Clear 1

Solve/plot for a given aperture

svg 0.625 :

imaginary unit

'n' population
'w' aperture  
radius OD svg n 2000 : w 1.56019262501239 : OD 2.5 : 31 sys *

rad svg OD w i π * w /^eval * Re * : 0.976562503

x circle rad 2^x 2^- sqrt ± :

Disk j 1 n range F j el OD w i 2 * π * j w / *^eval * : for F Re F Im augment 21 line :

solve aperture

rad 0 + 200 blue 1 5 mat x circle svg Disk * 4 1 sys

Ω 1.25 : OD 2 : 21 sys

solve aperture here ... bracket wisely.

sol OD w i π * w /^eval * Re Ω - 0 ≡ w 12 solve :

plug in 'w'

sol 1.56019262501239

aperture otherwise

svg 0.75 :

'n' population
'w' aperture  
radius OD n 2000 : w 0.25 : OD 2 : 31 sys

a svg OD w i π * w /^eval * Re * :

x circle a 2^x 2^- sqrt ± :

ring svg OD * a - : 1.2878

Disk j 1 n range F j el OD w i 2 * π * j w / *^eval * : for F Re F Im augment 21 line :

plot 00 + 100 blue 15 mat x circle svg Disk * 41 sys :

plot

a 0.212179660341954

thin ring
circle only
peep hole w 1.125 ≡ w 1 ≡ w 0.25 ≡ 31 sys

adjustable nuclear quadrants + svg

svg 0.625 :

x ∠

∠

∠ rot ∠ cos ∠ sin - ∠ sin ∠ cos 22 mat :

∠1 π - 2 / 22.5 ° * + : ° 67.5 -

∠2 22.5 ° * :

'n' population
'w' aperture  
radius OD n 2000 : w 0.70349 : OD 2 : 31 sys

'w' sytem companion 0.703467417226959 0.70348 0.70349 0.7035 0.703513 0.703536 61 sys

0.70349 45° ≡ 0.703513 90° ≡ 21 mat

peep hole
circle only
thin ring w 0.25 ≡ w 1 ≡ w 1.25 ≡ 31 sys

square 2 svg * 1 - 1 - 1 - 11111 - 1 - 1 - 52 mat * :

Quad_1 svg Nuc * ∠1 rot * : Quad_2 svg Nuc * ∠2 rot * : 21 sys

Nuc j 1 n range F j el OD w i 2 * π * j w / *^eval * : for F Re F Im augment 21 line :

plot square Quad_2 Quad_1 x 41 sys :

plot

Unicolor/colors at will ... all sorts of creations

svg 1 : Xshift 0.125 : Yshift 0 : 12 mat shift Xshift Yshift Xshift Yshift 22 mat : L 1 el 1.5 2.5 1.5 3.3 - 22 mat : j 211 range L j el svg L j 1 - el 1 shift * + (* : for 51 line

Experiment 1 ± little

baclward incline
rescale X_Y 1.5 2.5 1.5 - 3.3 22 mat

vertical plot 1.5 2.5 1.5 3.3 - 22 mat

L 1.5 2.5 1.5 3.3 - 22 mat 1.625 2.5 1.625 3.3 - 22 mat 1.75 2.5 1.75 3.3 - 22 mat 1.875 2.5 1.875 3.3 - 22 mat 2 2.5 2 3.3 - 22 mat 2.125 2.5 2.125 3.3 - 22 mat 2.25 2.5 2.25 3.3 - 22 mat 2.375 2.5 2.375 3.3 - 22 mat 2.5 2.5 2.5 3.3 - 22 mat 2.625 2.5 2.625 3.3 - 22 mat 2.75 2.5 2.75 3.3 - 22 mat 111 mat

right inclined
rescale plot 1.5 2.5 2.5 3.3 22 mat

λ η m i 1 λ range j 1 η range M i j el 255 : for for M 21 line :

'λ' length, 'η' thickness
margin(λ,η)... slide  ◄ ►  ... ▲ ▼
color scheme λ 32 : η 32 : 12 mat ω λ η m : SQ ω 1 ω * 1 ω * 13 mat : 41 sys

λ 32 : η 32 : 12 mat ω λ η m : SQ 0 ω * 0 ω * 0 ω * 13 mat : 31 line

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The Delta Matrix

n s Δ i 1 n range j 1 n range Δ i j el i j + s 1 + ≤ : for for Δ 21 line :

M mirror M 1 M rows range M cols 1 range el :

M 2354848 Δ (* :

M tr 5640

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gray 2001632 Δ (* : white 2551632 Δ (* : 21 mat

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D M M mirror augment :

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λ η m M 0 : i 1 λ range j 1 η range M i j el 255 : for for M 31 line :

collapse @ top of work sheet. creates matrix η pixels thick of 'λ' length 'η' pixels thick adjusted in-situ

▼ in-situ length/thickness ▼ .. hide/collapse after use ..

In-Situ user MarginLine ... collapse after use

'λ' length, 'η' thickness
margin(λ,η)... slide  ◄ ►  ... ▲ ▼
color scheme λ 256 : η 2 : 12 mat ω λ η m : L 0 ω * 0 ω * 1 ω * 13 mat : 31 sys

Dead memo ID a Peter ≡ b Joseph ≡ c Art ≡ d Maya ≡ e Unknown ≡ 51 line

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purely decorative user. Of much different system Smath has rainbow λ 256 thickness at will. Fixed thickness demo.

NEXT ... 1. Insert image from memnu 2. on that immense rectangle ► define argument L [type L] 3. Click on that big rectangle ► reset to original size ► switch border OFF ................... Every new 'λ' and/or augment(,,,) ► reset to original size

valued + description ...
can front end program a 1.23456789 : (Peter ≡ b 2 ln : (Joseph ≡ c 2 sqrt : (Art ≡ d 9.87654321 : (Maya ≡ e ∞ : (Unknown ≡ 51 line

web colors
as well. ω ω ω 13 mat white ≡ 1 ω * 0 ω * 0 ω * 13 mat Red ≡ 0 ω * ω 0 ω * 13 mat Green ≡ 0 ω * 0 ω * ω 13 mat Blue ≡ ω ω 0 ω * 13 mat Yellow ≡ 0 ω * ω ω 13 mat Cyan ≡ ω 0 ω * ω 13 mat Magenta ≡ 0 ω * 0 ω * 0 ω * 13 mat black ≡ 81 sys

λ η m M 0 : i 1 λ range j 1 η range M i j el 255 : for for M 31 line :

'λ' length, 'η' thickness
margin(λ,η)... slide  ◄ ►  ... ▲ ▼
color scheme ω 0 : λ 32 : η 64 : 12 mat ω λ η m : SQ 0 ω * 0 ω * 0 ω * 13 mat : 41 sys

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λ η m M 0 : i 1 λ range j 1 η range M i j el 255 : for for M 31 line :

'λ' length, 'η' thickness
margin(λ,η)... slide  ◄ ►  ... ▲ ▼
color scheme ω 0 : λ 64 : η 32 : 12 mat ω λ η m : SQ 0 ω * 1 ω * 1 ω * 13 mat : 41 sys

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M 0 :

You need that one for scaling grayscale image M lo hi Scale hi lo - (M M Min - M Max M Min - / (* lo + :

Mesh U, V  within the bounds L, H L H N xd U 0 : dx H L - N / : i 1 N 1 + (range U i el L dx i * dx - (+ : for U 41 line :

Generate the symmetric square matrix x y f U V Sym r 1 : i 1 U rows range c 1 : j 1 V rows range M r c el U i el V j el f eval : c c 1 + : 21 line for r r 1 + : 31 line for M 31 line :

t0 1 time :

Discrete compactor L 1 - : H 1 : N 24 : 13 mat U L H N xd : V U : 31 sys

x y f 255 x 2^y 2^+ (- 0.875 / exp * : M x y f U V Sym : 21 sys

R 1 M * 0 M * 0 M * 31 mat transpose :

G 0 M * 1 M * 0 M * 31 mat transpose :

B 0 M * 0 M * 1 M * 31 mat transpose :

Yw 1 M * 1 M * 0 M * 31 mat transpose :

Cy 0 M * 1 M * 1 M * 31 mat transpose :

Ma 1 M * 0 M * 1 M * 31 mat transpose :

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R 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 G 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 B 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 Yw 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 Cy 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 Ma

1 time t0 - 4 s *

n 48 :

square white matrix

Create white 'M' i 1 n range j 1 n range M i j el 255 : for for

fg 0 : r 16 : cx 24 : cy 24 : 14 mat

ε 0.625 : (ε=1 circle ≡

M M :

centered spot
black ... white cx 0.5 n * ≡ cy 0.5 n * ≡ fg 0 ≡ fg 255 ≡ 22 mat

W i 1 M rows range j 1 M cols range m i j el fg i cx - (2^ε j cy - (2^(* + r 2^≥ M i j el cases : for for m 21 line :

iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAIAAADYYG7QAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAC2SURBVFhH7c5BDsMwCATA/P/T7WVObmLZscGqxFyBXa5SSvk3nxlugiiZ534jwWtkLRK2j9x3ZOwmfZbrGDrGuYukaYSLePr67GbR2mExi9YntnLpvmUll+5bVnLp/mV+gg8ahif4oGF4gg8ahif4oGF4gg9+mefSfctKLt23rOTS/cRWFq0dFrNo7bMbT98IF5E0jXMXQ8cs17tJf0fGPnIXCVsjayPB89wHUTLGTSmllNeu6wvMr83NtZ4WEwAAAABJRU5ErkJggg== W

stuff orange

R 1 W * 0 W * 0 W * 31 mat transpose :

G 0 W * 1 W * 0 W * 31 mat transpose :

B 0 W * 0 W * 1 W * 31 mat transpose :

Yw 1 W * 1 W * 0 W * 31 mat transpose :

Ma 1 W * 0 W * 1 W * 31 mat transpose :

Cy 0 W * 1 W * 1 W * 31 mat transpose :

Or 1 W * 0.5 W * 0 W * 31 mat transpose :

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 R iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAADrSURBVGhD7ZhBDsMwCASd/P/PbVwVKYdIMexibMFIVU9ZPN5wydFa+1y/bTn//9uyvYDPK/SU2Cc5wBPQpBBlcAHkaYIItgNod4Tu7QKE4T/AHJsA6/ACkKcXYB9eMObqBLwOLxjysSVegHEB79sXlHOSNDDr9gXFvAQNzL59YXBukh1YmBKIpgSiKYFoSiCaEoimBKJ5F3D6pvnK4Nwkr9DsFhTzEi3xrBaUcxI10PFuwZCvb8BLwphre4XYEkCefQdYEmAOtsSoBOESegTn25smhdXeBU/gzlMi8dB3fAQmgu3AApRALK19AYR/HFP29LgAAAAAAElFTkSuQmCCQ8F53QC4HMApWxCe0w2AywK0bwEwX34DWhGguZhXUBsCOA93B7QgwHOwlzCNUPAQsAA76hBKNpAH2KUPo+Twd3uUro8Hr5ym6OCnPoDpk1MVHvzUC/DaOxMWH/prZwB8cR2X8D9OADgB4ASAEwBOADgB4ASAEwBOADgB4ASAEwBOADgB4ASAEwBOADgB4ASAEwBOADgB4ARAW+sXfqYkrwXG03gAAAAASUVORK5CYIIojbrjBN69ciJA1B0zsH71fgbrXwwMZ2A4A8MZGM7AcAaGMzCcgeEMDGdgOAPDGRjOwHAGhjMwnIHhDAxnYDgDwxkYzsBwBoYzMJyB4QwMZ2A4A8MZGG2tb2YYLNvQHHfPAAAAAElFTkSuQmCCIZyPqO4jFE4GWs8m9K+QG3yTcMEt3DjFUHBe4323oB7q7LrniwEsXuBNpGpEcZ5X0TnnJHtRhwnNZxOGGyuywYhKzNZ6RdWfQPfaBPHGrVhBAc6rtYo9fQvGJjSqdcGCt/KMe/NEo1pf0G310AYP57nG9a1865oGcw2uezCPMTahN2weznON61v51jUN5hpc92AeY74USDSqdaF3o3vzjHvzRKNaXxibyOZVrNDb7MyrtYo9fQvWJrRxCwnYg54V/ma9oupPoPtsghe40cWygZ/KiB9uOK+ic85J9qIOE5rn1SJvMlWjhEKJnrwYCe+7BfVQZ9d9NuFF5r7JuGCKwWPiH/MR1X2kEi8GWs8mvGBcgMIdCYUIPgP7OZgxr5Gszb6CukzXfjVRGXGhxI0pJkUKP9znQ76p6lT9aMRA97y6IEbi3cS4saJE/iusw/oiNVRmFq4mvMEGmAsXVjNTiTJfBnEE66aJSpe4mODLiBtcQLioYcMUI7EUXs25X7Be9qIO6rPmRf9BPgE8xGexh/hU/BDfTxzim6JDfGd3iG9PD/E99iF+UXCI33Yc4lc2//3vnVq7Bxh1joLg0P91AAAAAElFTkSuQmCCttoYMS6wEp0GqHUDihppQkPC8zTSDCJ9XuXEQ2v/AGE1hndJg5a4AAAAAElFTkSuQmCC G 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Cy 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Ma iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAADtSURBVGhD7ZndCsMwCEbTvfjYk3cLRCgjo9HPn2TxQGlvqh6NN+1RSjk/17I82n1ZlhcwOULnsz1cOF7tQRk1gV7Rv9CUgQU4hX+jIQLtAFJ8BX2/IhbQSF5B44gEtIonkHhsAe3iCWlcloBV8YQkPrTEMzAsYN19gptnjwl4dZ/g5Pv/CXh3nxjNu8cOzEwKRJMC0aRANCkQTQpEkwLR3ApYfdO8YzTvHkfIewqcfPsssdcUuHn2mUDFegqS+OwJWElI44qOkLYEEk+8A1oSaBxoidHkGk3Iv5Q9ejKaRV8xEfAE2oEZSIFYSnkDB0AxU4jI0DYAAAAASUVORK5CYII= Or

M Low High Scale High Low - (M M Min - M Max M Min - 106 -^+ / (* Low + :

n s Δ i 1 n range j 1 n range Δ i j el i j + s 1 + ≤ : for for Δ 21 line :

Q1 2232 Δ 0255 Scale : Q2 Q1 1 Q1 rows range Q1 cols 1 range el : Q3 Q1 Q1 rows 1 range Q1 cols 1 range el : Q4 Q1 Q1 rows 1 range 1 Q1 cols range el : Δ Q1 Q2 + Q3 + Q4 + (0255 Scale : 51 sys

iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAIAAABL1vtsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAABSSURBVDhP7cxBDgAQDETR3v/QgvhBUIqdeKumnam4a/9F8V8Ub7yQgPFI7N+8oB+w2EQ5YbeDZsbajFqNiw2dBkcDCj3uK6SHiEwR1ZDSkdOIeNnj3HFbCNQQAAAAAElFTkSuQmCC Q1 iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAIAAABL1vtsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAABWSURBVDhP7cxBDoAgEANA//9oIsaJGBVc5OKBORG27ZKGzYliThQ/mcg8v9omBldMZD766e/8dVI++O6heeYSpnbhGKNz5x6g8EjkjXSNVJNog2BNSivYeNxxfHmPOAAAAABJRU5ErkJggg== Q2 iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAIAAABL1vtsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAABTSURBVDhP7cxJDgAhCETRvv+hSZP4o8YJCBsXvmVRxWcSC70dWkdUl6hYaM+4OzAYcPRh0+PixqwijmBZkAUxVgRx2b3K7lV2r96L5r1obngh8gO4zdxxdNtY3wAAAABJRU5ErkJggg== Q3 iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAIAAABL1vtsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAABUSURBVDhP7cxJDgAhCERR739oIok/ahwaMC564VtCVSWxJBPBT0R3SFlILxFxoDDj70NnwNONWo9PBM2KcxDlglscfcXhyIUJdWFCvYnmTTR/mBDJujjcccmSHRkAAAAASUVORK5CYII= Q4 iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAIAAABL1vtsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAABtSURBVDhPtcxBDoAgEANA/v9oI8EJMaC4oM6NbUv63VZ4LDj2B6cppieCIKOO+JH6DaUBxSHVSyoBBg1hmFnlPMk4c1jy3ReZwyTjyjnMrCEMMLikMqQ6oHhD6ZF6RxxkdCKYYlo4LXi7D0lpB7ANjvcXeEE7AAAAAElFTkSuQmCC Δ

M Low High Scale High Low - (M M Min - M Max M Min - 0 + / (* Low + :

... suite

In some instances bias small value

n s Δ i 1 n range j 1 n range Δ i j el i j + s 1 + ≤ : for for Δ 21 line :

M mirror M 1 M rows range M cols 1 range el :

M 2354848 Δ (* :

M tr 5640

gray 2001632 Δ (* : white 2551632 Δ (* : 21 mat

D M M mirror augment :

iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAIAAABL1vtsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAB1SURBVDhPzc0xDoAwDARB/8r/73gWJlkhywFxIRRMyWWNbZNsxCIjy1hkZBmLjCxjkZFlLDKyjEXm7pQnFlmcqFdYZP1EoA8sMg40H5wIPzhx9Csn6AOLrPaBRVb7S/0/d3j0iOcDZhFRwjCFtOHTC6u9xGwHSGF+y6CuGysAAAAASUVORK5CYII= gray iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAIAAABL1vtsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAABRSURBVDhP7cshDoBAAMTA+/+nwYzYBFMcgrFNz/XSeVIy21Iy21Iy21Iy21Iy21Iy21Iy21Iy21Iy21Iy21Iy21Iy21Iy21Iy21Iy2++zzrkBkpT9H+IyyQEAAAAASUVORK5CYII= white iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAIAAADYYG7QAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAABESURBVFhH7c4xAQAwDASh+rf6JiqBNcOhgLdjCkkhKSSFpJAUkkJSSApJISkkhaSQFJJCUkgKSSEpJIWkkBSSQnIstH0yMMpp4G47gQAAAABJRU5ErkJggg== 235 48 96 Δ ( * 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 D

Mesh U, V  within the bounds L, H L H N xd N intervals U 0 : dx H L - N / : i 1 N 1 + (range U i el L dx i * dx - (+ : for U 51 line :

L 1 - :

H 1 :

½ size 'M' N 24 :

U L H N xd :

V U :

x y f 255 x 2^y 2^+ (- 0.25 / exp * :

Insert Gaussian spot in 'M Δelta matrix'
... in the module, 'M' is resident to that effect. x y f U V Sym r 1 : i 1 U rows range c 1 : j 1 V rows range M r c el U i el V j el f eval : c c 1 + : 21 line for r r 1 + : 31 line for M 31 line :

N x y f U V Sym :

iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAIAAADYYG7QAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAANeSURBVFhHzZavbiJRFIfZZVsWSrslgYQsBhAkDQmikpCQSiRBEhQGi0bwDkgMgifgETBVvEJd3ao6HPul58dkOi3tDMwM/cTk5tzz5zfnnjuQ8PDjlZ+vJJPJX2/BYlvmppg9/8JAuQyTYjouLi4uLy9TqdTvPayxYHeUeTQp5QkokWFqTAq1M5lMNpu9ubn5s4c1FuzsmiyPJmU9FmUxHDX0IJ1OX19f53K5fD5fLBb/7mGNBTu7+ODp0aTER2EZhKOGV7+6uqIZhUKhVCpVKpVarXZ3d1ev13myxoKdXXzwxN+tSbmDYzKEuzfUuL29pRPlchkF9/f3zWaz3W4/PDzwZI0FO7v44Im/u09KHxDpcCARE8pMcAq8N5Wq1Wqj0Wi1Wp1Op9fr9fv9wWDAkzUW7Ozigyf+RBFLhuMESYQb57CYDM6Ct6ce/eh2u8PhcDweTyaT6XTKkzUW7Ozigyf+RDkHpyK+kQIPJOIVuTtMK/PBidADqo5GI3TMZrPFYrFcLnmyxoKdXXzwxJ8oYskQVJDKv4duMwfcZ24QM8uUcC50gtrz+Xy1Wq3X68fHR56ssWBnFx888SeKWDKQR6V8oNofYufFN4aZ4B4xucwKp0M/ULDZbJ6enp6fn3myxoKdXXzwxJ8oYu3UVO0rVPgQJOIrzHjypeEUmA/ml4nhjOgKOl5eXrbbLU/WWLCziw+e+BNFLBl8ClLVT3AL4nvDDedOcS7MDSdFb1Cz2+14ssaCnV188MQ/kCCV/JzYOqR6X0KiGGZIxfwQwy1TJZ9E/R1SGf+QyE4tii+1agQiut8yFQgKiaxJzEGIv/bKfhyOJppPDd6bs2A+mFnuEQqC/h+ytCfh7hOnwGQwrdwgOsGXxmCNBTu7+Lh7Y0lCU2M4mpgJXp27w33mG0MzDNZYsLOLj0cNhKnGME1MqMmiB9TmK2ywxmJS8PGoiQpqmCxHmRvTAeammHCxgz8R5QoFpTwBJQoLZT0WZQkRJT4KpQgX5Q6O4kNH6QOi4ChQhSAoMiJUxDcKiw7V8YdiIkWlfKCAqFG1r5B3DKjgp8g1HlTzMPKLDZU9gJziRJU/Qh4xo+Lv0Hb8qP5btHcWJMGFNs6FVOyR9YxIyCsynRdp+SZq4Hupge+lJpH4D6MYPJNOn6SPAAAAAElFTkSuQmCC N

up/dn ... open/close Formated Label x pluto x 0 ≡ ▲ white green 13 mat x 1 ≡ ▼ white red 13 mat x 2 ≡ ► black yellow 13 mat ◄ black magenta 13 mat if if if :

X 012 0.5 14 mat transpose :

X 1 el pluto X 2 el pluto X 3 el pluto X 4 el pluto