data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAC2JJREFUeF7tnVlwFNcVhv/RgiQk0GIJLQghtKAIgWSzIyyMbHYRYxMqLkNsnKRIXEme8pRKKpWq5DHPiavykFhJiOOKY2NAZjGL0QZiEYyE9hUkgXaB9mVmOnVuRTLSjKTumdHcmdbpJyh197n36696uvuee65BURQFvDEBSQQMLKAk8hxWEGABWQSpBFhAqfg5OAvIDkglwAJKxc/BWUB2QCoBFlAqfg7OArIDUgmwgFLxc3AWkB2QSsAhAU0jo2i/X4PYzAypneDgnkvAIQErP72EhH074B+63HMJcMulErBbwP7WDrTfrcTat7KldoCDezYBuwUsyz2L9T/IgZe3t8MExgeHsSRoqcPn4RN4HgG7BHxy+yEsEybE7nzZoR4Ptnfj8Y1ShCauRPTmNIfOxQd7JgHNAlL6YPnHZ5H+wyN299g8NoGGi0Xw8vVB4oFMGLy87D4XH+jZBDQLWHc+HxFpiQhZs9Kunj/65i6Gu3qRsC8TfsFBdp2DD9IPAU0Cjg8MofbsDaw/cUgzge6qJnQaaxC1aR3CkuM0H88H6JOAJgEfnv4Ka4/s1vTCMNLzHE1XS7AsJgKrXn1FnxS5V3YTUC3gs8ZWdFU2IvnwLlXBLCazeM6jLXF/pnje440JzCSgWkDjX88g40dvqSLYWmzEQGsHVmdvwdKIUFXH8E6Lk4AqAVsK78PHf8m8n0roLtlWUo4V6cmISEtanES515oIzCsg/ZQ+/Gce0j94c9YTj/UPofFyMQLCghH/+lZNDeCdFzeBaQKW5Bfiz+/9Eqd+9iHawn3wzo/fR93Zb8Sb67KVK6xI0TfBxovFMI+NI+HATnGX5I0JaCFgdQdsuHEHecd/Lc5hUixoj/HHwXe+h+F1kcjJyZk699O7FehraEVc1kYExURoicn7MoEpAjZ/gj/6xW8w8cVtK0x95lGE7M5A1N4t2BqXAovFAsxRWGG4sxf+YcHw8nF8vHhmY/yWByI207GhQPZAPgErAY1GI3L3nEL8kuCp1tX7jeL4z0/hQdcjnPr9r+C9xFdVy+nDdWuREQEvBSN6C4/1qoK2yHayEvCjXe+hrqoGWe8fRX9UIN7+6UkMVDRjbGAQcbs2wcffTzOiZ01t6KluQlhKPEITYjUfzwfol8A0AUsLbmJZVDgCOofEOC19PKbnvMiMtTZfQrRioefG4e5niN2RwePAWuHpdH+rO6B5fAL3/vQpXkpdg6DoCCGfMzf6rNNSUAp4GcQLDGfCOJOu553LSsDq/16Bt68Pkg7vWlA5Rnr70VJYioDQ5ViVtdHzyHGLnUJgmoCUOEAjGUmHXnXKydWcpPAPf0FochxWbttgd4qXmji8j3sSmCZg9edXsfbN3Qvy2WS27ndVNGBieATj/cMY6XuOxAM7NWXbuCdWbpVaAlMCdlc2Yqx/ECu3p6s91mn71ZD4R7JBz5+UQeMT4IeE/ZkwGAxOi8Enck8CUwJWf/Y1vnNsr5RWDnf1ob20SkhH20BbJygBIjRxFaI3r5PSJg7qGgJCwMf597AsNlLqN7r6vAIxyck/ZNlUz5/eq0RffYtIZLU1Fu0aRBxlIQkYTKPjSsOFQunze80TJtSfz0fK269P76+ioOFSMUwjY+L5kH6eedMPAUPtuRvK6t2b3eLBv7XwPpauCEPY2tVWhGnucOOlYnGHjH9jm36uwCLviaHxcrGyZu8Ot8FQ9dkVpB7bM2t7aFiv7VY5ItYnYsWGZLdpNzfEPgIGxaIocKOXzdaiB+JtPPHg3N8iW28a0d/SAbp7B64Is6/3fJR0AvNmRLu6hZ3ldaj41wVk/e7DeRNcLWYzGi8UibQwEpZGcHjzLAJuKeDY80EMPulC6vf3qaI52tuPpiu3EBgVjrhdPKynCpqb7OSWAlICK01kj92erinbuqemGd6+vghJsK9qg5tck0XVDLcVkKonPDx9Aeknv7uoLshi66zbChiemiDStnyW+iN6E4+G6FVMtxaQoGuZEK/Xi6Tnfrm9gH0NLaBnu6RDWXq+Dou2b24vIF2ZitNfIVljUaRFe0U9rOMeISBVXqjPy0fauwc9DC83dz4ChpG+fuXFDJT5Dljov9d+eR2hSXGiCOaLW925G2LoLTg+ZqGbwOd3IQFDzZnrCtX8c4fNNDqOW3/MRcrRbOviRgpgzP0SGR/YXxrYHfrIbZhOwNB606hQUSFbGSiuhkXpWFRJwS840GZ1LVEc3WTmhXFcfWEWMJ54Bqz54pp1Ht4CBrV16sGn3aD5IVRP0MvHa9bybmV/P4cNJ3Jg8ObC5i6+RAsSTghIWcdDHT0OL7vgSAtrz1xD8pFsdJbVzSkgL5DjCGX3O3bqLZjKsFGJNbV1X5zZlQ5jrShyFPlyCujfc90BKa5YImx/5rT0fWe2h8/lOgKGB387o8RnbxUXk3LxEl04J3iymzQrLuXoG+K/agSk9Pzqz69g/Ylvy8W5DhlHciYBg8VsUWjtj4mhYfgG+IsHfEqLd9XWfO02wv9fBkStgLQfpefTWiXu8PLkKlZ6jDP1E0wfe+kb3PPmJ3j1tz9xSV8p74+mXyblfDvMpuYOONm4MlqxaY7SwS7pBAdxiIDVSAjNuaAqVpSNErF+YQqNU2nfR9fvoPFikch89g0MmOqEFgHphWWk97lIy+fNMwnMOhRH39z6W9pF4SBnzrnoNNaCEgzoZ54KWM6c+6FFQELedqtMSjUHz7zc7tfqOceCFbNFpLorZjNo5pwji83Qd762m0aEJMYiMiMF5bnnsMFGsqlWAd0PKbdICwFVyQijzwbETybdCbUu0UoV9JuulIgJ5bRwDdV7aSm6L154ojamWrWVBdRy+Tx/X8PT0ipFbTf66h6jp/aREEnNAtNUpNw0OjZtf5rJVvnJRbHYta2NBVR7NfSxn6Grol61gFNdNhjmrFzV8aAGvXWPRfpUaNKqaaRqz1xHzLYNCIoOZwH14ZBDvVD1E6w2Aq2A3vT1LQSvjrE5PZLeWJuv3Zmz8gHfAdXS1sd+ThGQ6vpRvh7Ve6bVNGd7WXl4Og+px/bC22/2FZVYQH2IpbYXDgtIIxk0iZzGkZeGh8wat6eqCf1tHVizZ/ucbWMB1V46fexnt4Dd1U14UlKOmM1pCJ+RvWwLTVnuWaSfnH3Bw8ljWEB9iKW2F5oFpOe4hgtFCIwMm/duNtmI5qslomzGzDR7fgtWe5n0u59qAenzSd25fCgmE5IOvzZv4aBJZOaxCVT95/Ksn11mouU7oH5ls9UzVQJSwgCNEa/Zs00sXqNlo3VH4l7bPOfz4YvnYwG10PX8fecUkFZAf1xQKmaj2Rq1mK/79Fmm7WaZpnR/FnA+qvr6u00BKUmg7nwB/IODHEpQLf/HeaS9ewBePurr9tEHbJrvwYsa6ku02XozXUBFQV1eASaGRsT3vBfTpLTiaL9fLbJdaIVN3pjAvAIqFouoTLoq6xUxkuHoZvyY5/A6ynAxHK/qJUQrCFr2ISx5tdU4sNbz8P76J+B0Aennm1L7044f0j897qHDBJwuYOW/L4oXF7/lQQ43jk+gfwJOF5C+F9JsNd6YgBoCThdQTVDehwlMEmAB2QWpBFhAqfg5OAvIDkglwAJKxc/BWUB2QCoBFlAqfg7OArIDUgmwgFLxc3AWkB2QSoAFlIqfg7OA7IBUAiygVPwcnAVkB6QSYAGl4ufgLCA7IJUACygVPwdnAdkBqQRYQKn4OTgLyA5IJcACSsXPwVlAdkAqARZQKn4OzgKyA1IJsIBS8XNwFpAdkEqABZSKn4OzgOyAVAIsoFT8HJwFZAekEmABpeLn4CwgOyCVAAsoFT8HZwHZAakEWECp+Dk4C8gOSCXAAkrFz8FZQHZAKgEWUCp+Ds4CsgNSCfwPsBgf5MvCk0wAAAAASUVORK5CYII=0100-100360100-100color10grays={
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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