data:image/png;base64,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Sets the pen color
to 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.ca:fixa el llapis de color _
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
}123Takes 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)
25500Creates a bunch of global variables.
For internal use by Color library.global✐ last crayon✐ crayon colorsca:canvia de llapis de color saltant _
pt:lança o erro _
This 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
scriptThis 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 _ ?
err_resetpt:o texto multilinha _
ca:llapis de color
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