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:image/png;base64,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Reports 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 }colorcolor1001123Takes 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?falsethis blocksaturation (HSV)value (brightness)transparencyred✐ last set asRGB✐ fair?falsethis blockgreen✐ last set asRGB✐ fair?falsethis blockblue✐ last set asRGB✐ fair?falsethis blockfair huevalue100color3.6index1index-1scale1255fromto1newHSVHSL✐ fair?truethis blockfair huecolorColorcolor300indexfloor15scale15grayscale15255fromto12✐ last set ascolor✐ fair?falsethis blocksaturation (HSL)lightnessfair saturation (HSV)saturationsaturation22✐ last set asHSV✐ fair?truethis blockfair value (brightness)brightnessbrightness33✐ last set asHSV✐ fair?truethis blockfair saturation (HSL)✐ last set asHSL2222✐ fair?truethis blockfair lightness✐ last set asHSL3333✐ fair?truethis blockfair HSL vectorthis blockfair HSV vectorthis blockHSL vectorthis blockHSV vectorthis blockRGB vectorthis blockRGB hex015number66red1612green1634blue1656this blockX11/W3C nameX11/W3C namelistvaluetruex11w3c44partial matches4matchhead matchesSUBSET throws here if it handles a unique match

1

HSVHSV100

The 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 hexnumberlistI don't know how to handle

pt:lança o erro _

Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.

pt:o texto de _ antes de _ If input is TRUE, comparisons made by functions in the string library will be case-independent (so "FOO" = "foo"). This is the default. If input is FALSE, comparisons will be exact.

pt:altera comparações ignorando distinção minúsculas/maiúsculas para _

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ pt:captura _ _ cont3

de:wirf _ ca:llança _ es:lanzar _ fr:lance _ pt:lança _ catchtag

de:ignoriere _ ca:ignora _ es:ignorar _ fr:ignore _ pt:ignora _ Don't ask. Only for internal use by the SET PEN block.

true

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 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✐ last set asRGB✐ fair?false✐ raw HSV0100100