data:image/png;base64,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data:image/png;base64,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Slides 6 - 12 Part 1: Exploring MotionEXPERIMENT! Change the inputs (arguments) to the repeat, move, and turn blocks. Observe the impact each change has on the drawings on the stage.To make more of these scripts, right click (CTRL+CLICK on Mac) on the top-most block and select duplicate.1random position--EPIC CHALLENGE-- Slides 19 - 20Slides 7 - 18 Part 2: Angles & TurningFIRST: Make a triangle, square, pentagon, and hexagon NEXT: Look for the pattern. Write an algorithm that would work for any sized polygon with any number of sides, then code the custom procedure in Snap!

1random positionThis 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), color number, crayon, or X11/W3C color name. See Appendix A in the Snap! Reference Manual for details.

color color number crayon fair hue ~1 size transparency X11/W3C name ~2 (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(A) vector RGB(A) hex } }function () { // add/edit menus but don't forget to edit other slot manual menu options to match var color_number=[ "0 black=0", "14 white=14", "20 spectral red=20", "25 darkest red=25", "30 saddle brown=30", "35 darkest brown=35", "40 spectral orange=40", "45 darkest orange=45", "50 spectral yellow=50", "55 darkest yellow=55", "60 spectral green=60", "65 darkest green=65", "70 spectral cyan=70", "75 darkest cyan=75", "80 spectral blue=80", "85 darkest blue=85", "90 spectral violet=90", "95 magenta=95"]; var fair_hue=[ "0 red=0", "12.5 brown=12.5", "25 orange=25", "37.5 yellow=37.5", "50 green=50", "62.5 cyan=62.5", "75 blue=75", "87.5 violet=87.5"]; var crayon=[ "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"]]; function makeMenuHelper(items, output) { // in an array, walk through the items in pairs var i = 0; while (i < items.length) { var label = items[i]; var possiblyNested = items[i+1]; // if possiblyNested is array, it is a nest under label // if possiblyNested is string, it is just a sibling if (possiblyNested === undefined) { // label is actually the last element of the list var hasEquals = label.split("="); if (hasEquals.length == 2) { output[hasEquals[0]] = hasEquals[1]; i += 1; } else if (hasEquals.length == 3) { output[hasEquals[0]+"\u00A0"+"="+"\u00A0"+hasEquals[2]] = hasEquals[0]+"\u00A0"+"="+"\u00A0"+hasEquals[2]; i += 1; } else { output[label] = label; i += 1; } } else if (typeof possiblyNested == "string") { var hasEquals = label.split("="); if (hasEquals.length == 2) { output[hasEquals[0]] = hasEquals[1]; i += 1; } else if (hasEquals.length == 3) { output[hasEquals[0]+"\u00A0"+"="+"\u00A0"+hasEquals[2]] = hasEquals[0]+"\u00A0"+"="+"\u00A0"+hasEquals[2]; i += 1; } else { output[label] = label; i += 1; } } else if (Array.isArray(possiblyNested)) { var nestingOutput = {}; makeMenuHelper(possiblyNested, nestingOutput); output[label] = nestingOutput; i += 2 } else { throw new Error("Bad value at index " + i); } } } var ide = world.children[0]; var menuVarName = this.parent.blockSpec; try { menuVarName = this.parent.cachedInputs[0].children[0].text; } catch(err) { menuPoss = this.parent.children; menuPoss = menuPoss.filter(function (e) { return (e instanceof InputSlotMorph)}); menuVarName = menuPoss[0].children[0].text; } menuVarName = menuVarName.replace(" ","_"); try { var menu = eval(menuVarName); var output = {}; makeMenuHelper(menu, output); return output; } catch(err) { } }Note to myself: When the user sets a fair dimension, say fair HSL, variable HSL contains the corresponding "unfair" values, and "raw HSL" contains the numbers the user actually gave. It has to be this way because in the case of HSV, there is no "HSV" variable; rather, we use the pen's actual remembered-by-Javascript color's HSV coordinates. So our HSL variable has to be analogous to that. In both cases "raw" means the numbers the user gave us.

1

HSV✐ raw HSL100HSV100

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.

color color number crayon fair hue ~1 size transparency X11/W3C name ~2 (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 RGBA vector RGB(A) hex } }huesaturation (HSV)value (brightness)transparencyRGB vectorRGBA vectorredgreenblueRGB(A) hexfloor1616HSV vectorHSL vectorsaturation (HSL)lightnesscolor numbercolorfair huenot setfair saturation (HSL)not setfair lightnessnot setfair HSL vectornot setfair saturation (HSV)2not setfair value (brightness)3not setfair HSV vectornot setcrayonX11/W3C nameChanges 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.

color number crayon fair hue ~1 size transparency ~2 (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 RGBA vector } }crayonRGB hexnumberlistI don't know how to handle

pt:lança o erro _

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 _

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 _ ?

combines any number of colors, reporting the result of mixing them, either additively (like colored light beams) or subtractively (like paints). If the result is too bright (additive) or too dark (subtractive), try the "averaged" versions, which will make the brightness more like the brightnesses of the input colors.

additive (light) additive (averaged) subtractive (ideal) subtractive (averaged) simulated paint paint (sRGB corrected)waveformssum of weightscombined waveformweighted geometric mean of waveformssum of weightscombined waveformTback to RGBTword5.47813E-05 0.000184722 0.000935514 0.003096265 0.009507714 0.017351596 0.022073595 0.016353161 0.002002407 -0.016177731 -0.033929391 -0.046158952 -0.06381706 -0.083911194 -0.091832385 -0.08258148 -0.052950086 -0.012727224 0.037413037 0.091701812 0.147964686 0.181542886 0.210684154 0.210058081 0.181312094 0.132064724 0.093723787 0.057159281 0.033469657 0.018235464 0.009298756 0.004023687 0.002068643 0.00109484 0.000454231 0.000255925-4.65552E-05 -0.000157894 -0.000806935 -0.002707449 -0.008477628 -0.016058258 -0.02200529 -0.020027434 -0.011137726 0.003784809 0.022138944 0.038965605 0.063361718 0.095981626 0.126280277 0.148575844 0.149044804 0.14239936 0.122084916 0.09544734 0.067421931 0.035691251 0.01313278 -0.002384996 -0.009409573 -0.009888983 -0.008379513 -0.005606153 -0.003444663 -0.001921041 -0.000995333 -0.000435322 -0.000224537 -0.000118838 -4.93038E-05 -2.77789E-050.00032594 0.001107914 0.005677477 0.01918448 0.060978641 0.121348231 0.184875618 0.208804428 0.197318551 0.147233899 0.091819086 0.046485543 0.022982618 0.00665036 -0.005816014 -0.012450334 -0.015524259 -0.016712927 -0.01570093 -0.013647887 -0.011317812 -0.008077223 -0.005863171 -0.003943485 -0.002490472 -0.001440876 -0.000852895 -0.000458929 -0.000248389 -0.000129773 -6.41985E-05 -2.71982E-05 -1.38913E-05 -7.35203E-06 -3.05024E-06 -1.71858E-06newsRGBRGB vector255addmax255RGB vector

pt:o texto multilinha _ 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 _ Reports the portion of the first input string starting after the first occurrence of the second string. If the second string isn't found in the first string, reports an empty string.

pt:o texto de _ depois de _ Reports the character position (starting from 1) of the beginning of the first input string inside the second input string. If it's not found, reports 0.

pt:a posição de _ em _ 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 _ Reports the portion of the first input (string) starting at the position given by the second input (counting from 1, like LETTER n OF) and ending at the position given by the third input (also counting from 1). If the third input is empty, reports the portion from the first position to the end of the string. If a position number is negative, counts from the end backward, so -1 is the last character, -2 is the next to last, etc.

pt:o texto de _ entre as posições _ e _ , inclusive Reports True if the first input string contains the second input string, otherwise false. Comparison is case-independent by default; use USE CASE-INDEPENDENT COMPARISONS to change that.

pt:o texto de _ antes de _ Reports the input text with lower case letters instead of capital letters in the input. Uses the user's locale's rules for case conversion.

pt:em minúsculas _ This block reports a color. 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), color number, crayon, or X11/W3C color name. See Appendix A in the Snap! Reference Manual for details.

color color number crayon fair hue X11/W3C name ~ fair HSL=fair HSL vector fair HSV=fair HSV vector HSL=HSL vector HSV=HSV vector RGB (0-255)=RGB vector RGB hexfunction () { // add/edit menus but don't forget to edit 2nd slot manual menu options as well to match var color_number=[ "0 black=0", "14 white=14", "20 spectral red=20", "25 darkest red=25", "30 saddle brown=30", "35 darkest brown=35", "40 spectral orange=40", "45 darkest orange=45", "50 spectral yellow=50", "55 darkest yellow=55", "60 spectral green=60", "65 darkest green=65", "70 spectral cyan=70", "75 darkest cyan=75", "80 spectral blue=80", "85 darkest blue=85", "90 spectral violet=90", "95 magenta=95"]; var fair_hue=[ "0 red=0", "12.5 brown=12.5", "25 orange=25", "37.5 yellow=37.5", "50 green=50", "62.5 cyan=62.5", "75 blue=75", "87.5 violet=87.5"]; var crayon=[ "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"]]; function makeMenuHelper(items, output) { // in an array, walk through the items in pairs var i = 0; while (i < items.length) { var label = items[i]; var possiblyNested = items[i+1]; // if possiblyNested is array, it is a nest under label // if possiblyNested is string, it is just a sibling if (possiblyNested === undefined) { // label is actually the last element of the list var hasEquals = label.split("="); if (hasEquals.length == 2) { output[hasEquals[0]] = hasEquals[1]; i += 1; } else if (hasEquals.length == 3) { output[hasEquals[0]+"\u00A0"+"="+"\u00A0"+hasEquals[2]] = hasEquals[0]+"\u00A0"+"="+"\u00A0"+hasEquals[2]; i += 1; } else { output[label] = label; i += 1; } } else if (typeof possiblyNested == "string") { var hasEquals = label.split("="); if (hasEquals.length == 2) { output[hasEquals[0]] = hasEquals[1]; i += 1; } else if (hasEquals.length == 3) { output[hasEquals[0]+"\u00A0"+"="+"\u00A0"+hasEquals[2]] = hasEquals[0]+"\u00A0"+"="+"\u00A0"+hasEquals[2]; i += 1; } else { output[label] = label; i += 1; } } else if (Array.isArray(possiblyNested)) { var nestingOutput = {}; makeMenuHelper(possiblyNested, nestingOutput); output[label] = nestingOutput; i += 2 } else { throw new Error("Bad value at index " + i); } } } var ide = world.children[0]; var menuVarName = this.parent.blockSpec; try { menuVarName = this.parent.cachedInputs[0].children[0].text; } catch(err) { menuPoss = this.parent.children; menuPoss = menuPoss.filter(function (e) { return (e instanceof InputSlotMorph)}); menuVarName = menuPoss[0].children[0].text; } menuVarName = menuVarName.replace(" ","_"); try { var menu = eval(menuVarName); var output = {}; makeMenuHelper(menu, output); return output; } catch(err) { } }color numbercolor300indexfloor15scale1515255fromto122crayon132X11/W3C nameRGB hexcolorRGB vectorHSV vectorHSL vectorfair HSV vectorindex-1scale1index1color100fair HSL vectorindex-1scale1index1color110050

nearest color number crayon number fair hue ~1 transparency X11/W3C name ~2 (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 RGBA vector RGB hex } }X11/W3C namenearest color numberrgbhslhsvrgbtransparencytransparencyRGB vectorRGBA vectorRGB hexredgreenbluehsvfalseHSV vectorhuesaturation (HSV)value (brightness)hsltrueHSL vectorsaturation (HSL)lightnessHSLlightnessfair lightness310030.9833.333333330.986.9444444516.944444451.96100fair lightnessfair saturation (HSL)210075.9493610075.949366.9444444516.944444451.96100fair saturation (HSL)fair HSL vectorfair lightness310030.9833.333333330.986.9444444516.944444458.823529100fair lightnessfair saturation (HSL)210075.9493610075.949366.9444444516.944444458.823529100fair saturation (HSL)fair HSL vectorfair hue11111111fair huefair saturation (HSL)fair lightnessfair HSL vectorbrownfair value (brightness)310054.5166.66666666754.516.9444444516.944444451.96100fair value (brightness)fair saturation (HSV)210086.3310086.336.9444444516.944444451.96100fair saturation (HSV)fair HSV vectorfair value (brightness)310054.5166.66666666754.516.9444444516.944444451.96100fair value (brightness)fair saturation (HSV)210086.3310086.336.9444444516.944444451.96100fair saturation (HSV)fair HSV vectorfair hue11111111fair huefair saturation (HSV)fair value (brightness)fair HSV vectorbrownfair somethingCan't get here -- please post project and screenshot to forum.This block reports the pen color (as a color, not as a list of numbers).

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

de:wirf _ _ ca:llança _ _ es:lanzar _ _ fr:lance _ _ pt:lança _ _ catchtagSets 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 }✐ last set ascrayon✐ fair?false1231numberTakes 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) Takes a value from 0 to 15 and reports the corresponding hexadecimal digit. For internal use of the color library.

Don't ask. Only for internal use by the SET PEN block.

truetrueCreates 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✐ X11✐ crayon colors✐ fair hue table✐ colors✐ brights✐ pivots✐ HSV brights✐ HSL brights✐ HSV colors✐ HSL colors✐ X11 catch✐ dimension names✐ dimension dispatch✐ last set asRGB✐ fair?false✐ raw HSV0100100✐ HSL010050✐ raw HSL010050listlistlistlistlistlistlistlistlistlistlistlist

not a crayon

not an X11 color

1last1000huescolumns1lengthcolumnsfair hues00hue10110002last1000✐ fair hue table10

11

1number

smallest componentrgb255

smallest component2rgb255

2Red family8.7Brown/orange family17yellow501427.7522.334green52cyan67blue83.33333333purple9550505left of black

falsehue603.61001003.6100100

hue mod 100, other components cut off at [0, 100]

value100color3.6index1index-1scale1255fromto1newHSVHSL✐ fair?truetransparency

color300indexfloor15scale15grayscale15255fromto121number✐ last set ascolor number✐ fair?true✐ raw HSLhue10050✐ raw HSVhue100100

015numberlength8length66length161216341656✐ last set asRGB✐ fair?false1number

44partial matchestrue4matchhead matchestrueSUBSET throws here if it handles a unique match1number

44partial matchesfalse4matchhead matchesfalseSUBSET throws here if it handles a unique match2

015numberlength8length66length161216341656

fair hue transparency ~2 (3D color spaces)={ fair HSL={ fair hue fair saturation (HSL) fair lightness } fair HSV={ fair hue fair saturation (HSV) fair value (brightness) } HSL={ hue saturation (HSL) lightness } HSV={ hue saturation (HSV) value (brightness) } RGB (0-255)={ red green blue } }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.huesaturation (HSV)value (brightness)saturation (HSL)lightnesstransparencyredgreenbluefair huefair saturation (HSV)fair value (brightness)fair saturation (HSL)fair lightness

✐ last set asHSL33✐ fair?false1number

✐ last set asRGB✐ fair?false

✐ last set asRGB✐ fair?false

✐ last set asRGB✐ fair?false

✐ last set asRGB✐ fair?false

0

4numbervalue0255131number✐ last set asRGB✐ fair?false

✐ last set asHSL22✐ fair?false1number

✐ last set asHSL✐ HSL11000100✐ raw HSL✐ fair?false1number

✐ last set asHSV✐ fair?false✐ raw HSV13100length31number

hue100if USED TO BE fairHSL✐ fair?false1number

✐ last set asHSL2222✐ fair?true1number

✐ last set asHSL3333✐ fair?true1number

231length3

saturationsaturation22✐ last set asHSV✐ fair?true1number

brightnessbrightness33✐ last set asHSV✐ fair?true1number

231length31number