Eine kleine Bibliothek zum Erzeugen von generativer Kunst, die auf sich wiederholenden Muster in einem Raster beruht.data:image/png;base64,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data:image/png;base64,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Dieses Script dient zu Demonstrationszwecken.100001einfärben18,6,0,13Rahmen um Bild zeichnenDieses Script dient zum Experimentieren und zum Erzeugen eigener generativer Kunst.Hier können verschiedene Lemente (draw element 1 ...) eingefügt werden.18,6,0,11000013Hier können bereits bestehende oder selbst geschriebene Blöcke getestet werden.#14000.25Die Grösse der umliegenden Weissfläche kann mit "border" angepasst werden.zeichnet ein Element an einer gegebenen Positionpositioniert Elemente in einem RasterBlöcke zur Generierung von generativer Kunst mit RasternTipps und Tricks zum Erzeugen generativer KunstDem Block "draw grid" kann auch eine Liste von Elementen übergeben werden.Dieses Script generiert zufällige Beispiele aus bis zu vier verschiedenen Elementen.elements in usei11417,3,0,13size600Stage size1step1010000118,6,0,131004520.5100Allows reading global settings programmatically.
Eisenberg's Law: Anything you can do from the user interface you should be able to do in your program, and vice versa. This library is just a beginning; there are many UI controls outside of the Settings menu.pt:o valor da configuração _
Project notes
Project name
User
Presentation mode
Language
Zoom blocks
Stage size
Stage scale
Retina display support
Long form input dialog
Plain prototype labels
Input sliders
Execute on slider change
Clicking sound
Turbo mode
Flat design
Keyboard editing
Visible stepping
Thread safe scripts
Prefer smooth animations
Flat line ends
Codification support
Inheritance support
Hyper blocks support
Visible paletteAllows changing global settings programmatically.
This block is for Boolean (checkbox) settings; use
SET VALUE for numeric or text values.
Eisenberg's Law: Anything you can do from the user interface you should be able to do in your program, and vice versa. This library is just a beginning; there are many UI controls outside of the Settings menu.pt:altera o valor da configuração _ para _
Presentation mode
Retina display support
Long form input dialog
Plain prototype labels
Input sliders
Execute on slider change
Clicking sound
Turbo mode
Flat design
Keyboard editing
Visible stepping
Thread safe scripts
Prefer smooth animations
Flat line ends
Codification support
Inheritance support
Hyper blocks supportAllows changing global settings programmatically.
This block is for numeric or text settings; use
SET FLAG for Boolean (checkbox) values.
Eisenberg's Law: Anything you can do from the user interface you should be able to do in your program, and vice versa. This library is just a beginning; there are many UI controls outside of the Settings menu.pt:altera o valor da configuração _ para _
Project notes
Project name
Language
Zoom blocks
Stage size
Stage scale
Visible palette50020,30,40,50,60,70.8011
2
3
4Reports one of 100 preselected colors, like a box of 100 crayons.
The colors have names that are meant to be evocative.
They are organized in families, more or less corresponding
to spectral (rainbow) colors; the input slot has a two-level menu
in which you can hover over a family name to see the colors
of that family, each including a crayon number and an RGB value.
See Appendix A of the Snap! Reference Manual for more details.grays={
0 black #000000=0
1 gray7 #121212=1
2 gray14 #242424=2
3 gray21 #363636=3
4 gray28 #484848=4
5 gray36 #5c5c5c=5
6 gray43 #6d6d6d=6
7 gray50 #7f7f7f=7
8 gray57 #919191=8
9 gray64 #a3a3a3=9
10 gray71 #b5b5b5=10
11 gray78 #c8c8c8=11
12 gray85 #dadada=12
13 gray92 #ececec=13
14 white #ffffff=14
}
pinks={
15 deep pink #ff1493=15
16 hot pink #ff69b4=16
17 bright pink #ff007f=17
18 raspberry #e30b5d=18
19 amaranth #e52b50=19
}
reds={
20 red #ff0000=20
21 burgundy #900020=21
22 cherry #990000=22
23 dark candy apple red #a40000=23
24 sanguine #c00000=24
25 maroon #800000=25
26 crimson #c90016=26
27 Lists #d94d11=27
28 candy apple red #ff0800=28
29 coquelicot #ff3800=29
}
browns={
30 saddle brown #8b4513=30
31 chocolate #7b3f00=31
32 kobicha #6b4423=32
33 sepia #704214=33
34 chestnut #954535=34
35 dark brown #654321=35
36 brown #964b00=36
37 golden brown #996515=37
38 cinnamon #b87333=38
39 copper #d2691e=39
}
oranges={
40 orange #ff7f00=40
41 Pantone orange #ff5800=41
42 pumpkin #ff7518=42
43 Variables #f3761d=43
44 Spanish orange #e86100=44
45 burnt orange #cc5500=45
46 sinopia #cb410b=46
47 ochre #cc7722=47
48 carrot #ed9121=48
49 tangerine #f28500=49
}
yellows={
50 yellow #ffff00=50
51 Control #e6a822=51
52 dark goldenrod #b8860b=52
53 goldenrod #daa520=53
54 saffron #f4c430=54
55 sandstorm #ecd540=55
56 mustard #ffdb58=56
57 gold #ffd700=57
58 egg yolk #fee33e=58
59 rubber duck #fbe108=59
}
greens={
60 lime #00ff00=60
61 apple green #8db600=61
62 Operators #62c213=62
63 forest green #228b22=63
64 green #008000=64
65 dark green #006400=65
66 dark pastel green #03c03c=66
67 emerald #50c878=67
68 mint #3eb489=68
69 Pen #00a178=69
}
cyans={
70 aqua (cyan) #00ffff=70
71 dark cyan #008b8b=71
72 cerulean #007ba7=72
73 iceberg #71a6d2=73
74 Sensing #0494dc=74
75 teal #008080=75
76 light sky blue #87cefa=76
77 deep sky blue #00bfff=77
78 dodger blue #1e90ff=78
79 azure #007fff=79
}
blues={
80 blue #0000ff=80
81 midnight blue #191970=81
82 dark powder blue #003399=82
83 cobalt #0047ab=83
84 denim #1560bd=84
85 navy blue #000080=85
86 steel blue #4682b4=86
87 Motion #4a6cd4=87
88 cornflower #6495ed=88
89 slate blue #6a5acd=89
}
purples={
90 violet #8000ff=90
91 Looks #8f56e3=91
92 grape #6f2da8=92
93 indigo #4b0082=93
94 x11 purple #a020f0=94
95 magenta (fuchia) #ff00ff=95
96 dark orchid #9932cc=96
97 Sound #cf4ad9=97
98 purple #7f007f=98
99 dark magenta #8b008b=99
}Takes three inputs for red, green, and blue
values, each between 0 and 255. 0,0,0 is black; 255,255,255 is white. 255,255,0 is yellow, and so on.
The SET PEN block in this library lets you set individual red, green, or blue without changing the others, lets you provide a list of three RGB color components, and lets you provide a six-digit hexadecimal number, the form in which RGB color values are usually found online.
See Appendix A of the Snap! Reference Manual for details.pt:altera a cor da tua caneta para vermelho _ , verde _ e azul _ (0 a 255)
25500Takes three inputs for hue, saturation, and value ("brightness")
values, each between 0 and 1. 0,0,0 is black; 0,0,1 is white. 0.15,1,1 is yellow, and so on.
The SET PEN block in this library lets you set individual hue, saturation, or value without changing the others, lets you provide a list of three HSV color components, and lets you
use the very much superior HSL (hue, saturation, lightness)
color space.
See Appendix A of the Snap! Reference Manual for details.pt:altera a cor da caneta para matiz _ , saturação _ e brilho _ (0 a 1)
0.30.70.6Reports the current pen color as a list of three RGB values in the range 0-255. The PEN block in this library provides a large set of ways to examine the color.
See Appendix A in the Snap! Reference Manual for details.pt:a cor da caneta em RGB (vermelho, verde e azul; 0 a 255)
Reports the current pen color as a list of three HSV values
in the range 0-1.
See Appendix A in the Snap! Reference Manual for details.pt:a cor da caneta em HSV (matiz, saturação e brilho, 0 a 1)
This block allows you to set the pen's color, transparency (on a scale from 0=opaque to 100=invisible), or size (in pixels). The color can be set in many ways, including RGB values, HSV values, HSL values, fair HSV or HSL (based on a modified spectrum that gives each spectral color equal space and promotes brown to a color), or X11/W3C color name.
See Appendix A in the Snap! Reference Manual for details.size
color
fair hue
transparency
X11/W3C name
(3D color spaces)={
fair HSL={
fair hue
fair saturation (HSL)
fair lightness
fair HSL vector
}
fair HSV={
fair hue
fair saturation (HSV)
fair value (brightness)
fair HSV vector
}
HSL={
hue
saturation (HSL)
lightness
HSL vector
}
HSV={
hue
saturation (HSV)
value (brightness)
HSV vector
}
RGB (0-255)={
red
green
blue
RGB vector
RGB hex
}
}255100We have to do this last test to rule out the vector options, which aren't numbers; their code makes three recursive calls and we catch range issues then.sizehueHSLHSV✐ fair?falsesaturation (HSV)value (brightness)transparencyred✐ last set asRGB✐ fair?falsegreen✐ last set asRGB✐ fair?falseblue✐ last set asRGB✐ fair?falsefair huevalue100color3.6index1index-1scale1255fromto1newHSVHSL✐ fair?truefair huecolorColorcolor300index15scale15grayscale15255fromto12✐ last set ascolor✐ fair?falsesaturation (HSL)lightnessfair saturation (HSV)22✐ last set asHSV✐ fair?truefair value (brightness)33✐ last set asHSV✐ fair?truefair saturation (HSL)✐ last set asHSL2222✐ fair?truefair lightness✐ last set asHSL3333✐ fair?truefair HSL vectorfair HSV vectorHSL vectorHSV vectorRGB vectorRGB hex01566red1612green1634blue1656X11/W3C nameX11/W3C name1HSVHSV100The identity function reports its input.This block reports the pen size, color, or transparency, in all the same ways that the SET PEN block allows you to set those pen properties. (It will also report the current crayon number, if the pen color was most recently set with SET PEN TO CRAYON.)
See Appendix A of the Snap! Reference Manual for details. size
crayon
color
fair hue
transparency
X11/W3C name
(3D color spaces)={
fair HSL={
fair hue
fair saturation (HSL)
fair lightness
fair HSL vector
}
fair HSV={
fair hue
fair saturation (HSV)
fair value (brightness)
fair HSV vector
}
HSL={
hue
saturation (HSL)
lightness
HSL vector
}
HSV={
hue
saturation (HSV)
value (brightness)
HSV vector
}
RGB (0-255)={
red
green
blue
RGB vector
RGB hex
}
}huesaturation (HSV)value (brightness)transparencyRGB vectorredgreenblueRGB hexHSV vectorHSL vectorsaturation (HSL)lightnesscolorfair huenot setfair saturation (HSL)not setfair lightnessnot setfair HSL vectornot setfair saturation (HSV)2not setfair value (brightness)3not setfair HSV vectornot setcrayonnot setX11/W3C namenot setTakes a value from 0 to 15 and reports
the corresponding hexadecimal digit.
For internal use of the color library.Changes any pen property by the specified amount. Some color scales can't be adjusted this way unless the color was first SET using that scale.
Vectors (e.g., RGB color as a list of three numbers) can be incremented
by a vector as the amount. X11/W3C names can't be incremented.size
crayon
color
fair hue
transparency
(3D color spaces)={
fair HSL={
fair hue
fair saturation (HSL)
fair lightness
fair HSL vector
}
fair HSV={
fair hue
fair saturation (HSV)
fair value (brightness)
fair HSV vector
}
HSL={
hue
saturation (HSL)
lightness
HSL vector
}
HSV={
hue
saturation (HSV)
value (brightness)
HSV vector
}
RGB (0-255)={
red
green
blue
RGB vector
RGB hex
}
}crayonRGB hexI don't know how to handle pt:lança o erro _
de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
pt:lança _
catchtagde:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
pt:ignora _
Don't ask.
Only for internal use by the SET PEN block.trueThis block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list).
If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.pt:cria as variáveis _ _
ca:crea les _ variables _
es:crear las _ variables _
de:erstellen _ var _
globalglobal
sprite
scripteach itemvar ide = this.parentThatIsA(IDE_Morph);
ide.flushBlocksCache('variables'); // b/c of inheritance
ide.refreshPalette();This block reports "true" if there is a variable with this given name (input slot) in that context.
It can be a global, sprite or script variable.
Otherwise it reports "false".pt:a variável _ existe
ca:existeix la variable _ ?
es:existe la variable _ ?
de:existiert var _ ?
Creates a bunch of global variables.
For internal use by Color library.global✐ last set as✐ fair?✐ color scale✐ HSL✐ last crayon✐ last X11✐ raw HSL✐ raw HSV✐ X11✐ crayon colors✐ last set asRGB✐ fair?false✐ raw HSV01001001001001001004520.5126,1,0,11001000.851.00
0.95
0.90
0.85
0.80
0.75
0.709010011.00
0.95
0.90
0.85
0.80
0.75
0.7020.5100245i1210011.00
0.95
0.90
0.85
0.80
0.75
0.7090902110010010090290902901100100290290213520.59020.513529021002010022902100290210029090218022702100290902270290240010.00
0.25
0.50
0.75
1.005100360423604Creates a copy of the input60600crayonfalse0059000,100,100255,250,250,snow248,248,255,ghostwhite245,245,245,whitesmoke220,220,220,gainsboro255,250,240,floralwhite253,245,230,oldlace250,240,230,linen250,235,215,antiquewhite255,239,213,papayawhip255,235,205,blanchedalmond255,228,196,bisque255,218,185,peachpuff255,222,173,navajowhite255,228,181,moccasin255,248,220,cornsilk255,255,240,ivory255,250,205,lemonchiffon255,245,238,seashell240,255,240,honeydew245,255,250,mintcream240,255,255,azure240,248,255,aliceblue230,230,250,lavender255,240,245,lavenderblush255,228,225,mistyrose255,255,255,white0,0,0,black47,79,79,darkslategray47,79,79,darkslategrey105,105,105,dimgray105,105,105,dimgrey112,128,144,slategray112,128,144,slategrey119,136,153,lightslategray119,136,153,lightslategrey190,190,190,gray(X11)190,190,190,grey(X11)128,128,128,gray(W3C)128,128,128,grey(W3C)211,211,211,lightgrey211,211,211,lightgray25,25,112,midnightblue0,0,128,navy0,0,128,navyblue100,149,237,cornflowerblue72,61,139,darkslateblue106,90,205,slateblue123,104,238,mediumslateblue132,112,255,lightslateblue0,0,205,mediumblue65,105,225,royalblue0,0,255,blue30,144,255,dodgerblue0,191,255,deepskyblue135,206,235,skyblue135,206,250,lightskyblue70,130,180,steelblue176,196,222,lightsteelblue173,216,230,lightblue176,224,230,powderblue175,238,238,paleturquoise0,206,209,darkturquoise72,209,204,mediumturquoise64,224,208,turquoise0,255,255,cyan0,255,255,aqua224,255,255,lightcyan95,158,160,cadetblue102,205,170,mediumaquamarine127,255,212,aquamarine0,100,0,darkgreen85,107,47,darkolivegreen143,188,143,darkseagreen46,139,87,seagreen60,179,113,mediumseagreen32,178,170,lightseagreen152,251,152,palegreen0,255,127,springgreen124,252,0,lawngreen0,255,0,green(X11)0,128,0,green(W3C)0,255,0,lime127,255,0,chartreuse0,250,154,mediumspringgreen173,255,47,greenyellow50,205,50,limegreen154,205,50,yellowgreen34,139,34,forestgreen107,142,35,olivedrab189,183,107,darkkhaki240,230,140,khaki238,232,170,palegoldenrod250,250,210,lightgoldenrodyellow255,255,224,lightyellow255,255,0,yellow255,215,0,gold238,221,130,lightgoldenrod218,165,32,goldenrod184,134,11,darkgoldenrod188,143,143,rosybrown0,0,018,18,1836,36,3654,54,5472,72,7292,92,92109,109,109127,127,127145,145,145163,163,163181,181,181200,200,200218,218,218236,236,236255,255,255255,20,147255,105,180255,0,127227,11,93229,43,80255,0,0144,0,32153,0,0164,0,0192,0,0128,0,0201,0,22217,77,17255,8,0255,56,0139,69,19123,63,0107,68,35112,66,20149,69,53101,67,33150,75,0153,101,21184,115,51210,105,30255,127,0255,88,0255,117,24243,118,29232,97,0204,85,0203,65,11204,119,34237,145,33242,133,0255,255,0230,168,34184,134,11218,165,32244,196,48236,213,64255,219,88255,215,0254,227,62251,225,80,255,0141,182,098,194,1934,139,340,128,00,100,03,192,6080,200,12062,180,1370,161,1200,255,2550,139,1390,123,167113,166,2104,148,2200,128,128135,206,2500,191,25530,144,2550,127,2550,0,25525,25,1120,51,1530,71,17121,96,1890,0,12870,130,18074,108,212100,149,237106,90,205128,0,255143,86,227111,45,16875,0,130160,32,240255,0,255153,50,204207,74,217127,0,127139,0,1393