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 _
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B. It's easier to see what's happening if the script waits between steps.
Remember, you can use Visible Stepping instead
of adding WAIT blocks.D. Instead of clicking twice, you can use REPEAT to automate.