data:image/png;base64,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-100360100-100color10grays={
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 copper #b87333=38
39 cinnamon #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=55
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
}
violets={
90 violet #8f00ff=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
}distance112233index11050-50360100-100color10Sets 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.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 colorspt: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 _
D. Instead of clicking twice, you can use REPEAT to automate.data:image/png;base64,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0012100