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

10

10

00

1

1

hello world

true

String

0§_pianoKeyboardMenu

§_directionDialMenu

xx y

false

10

upup down10

100

1100

upup down left right10

0

dayday week month year lustrum decade lifetime century millennium myriad/decamillennium aeon eon

toptop bottomleftleft right10

00

truetrue false

1

1secondsseconds minutes millisecondsmicrosecondsseconds

1

$_mouse-pointer§_destinationsMenu

φφ e ℵ₀ℵ₀

ghost0

1

1

1

1

1

§_getVarNamesDictThe identity function reports its input.

${replacer}world

Text

pl:jÄ…dro _ _ _ _ _ _ _ _ _ _ _ _

1

0

loglog warn errorHello!warnerror

Hello!!

comment

00

1

RightRight left15RightRight Left5True

comment

The factorial function, to make very large numbers, to demo bignums.

§_dynamicMenu even odd

905

005

0

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 _

err_resetReports 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 _ 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 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 _

RedRed Green Blue Hue

10

440

90

🟦🟥 🟧 🟨 🟩 🟪 🟦 🏳️ 🏴

🟦🟥 🟧 🟨 🟩 🟪 🟦 🏳️ 🏴

§_objectsMenu

§_objectsMenu

0000

§_locationMenu§_objectsMenu

§_objectsMenu

Alert!

0time in milliseconds1000Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time. So the script is run at least once.

pt:repete _ até que _ $loop-0.7 ca:repeteix _ fins _ pl:powtarzaj _ aż _

φφ e ℵ₀ℵ₀

§_objectsMenu§_objectsMenu

comment

3

Letter§_getVarNamesDictIndexBanana

§_objectsMenu

§_attributesMenu§_objectsMenu

§_objectsMenu

130.5

130.5

hide showshow

saysay thinkthink

pt:repete _ até que _ $loop-0.7 ca:repeteix _ fins _ pl:powtarzaj _ aż _ Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time. So the script is run at least once.

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ ca:vestit amb el text _ i mida _ A72

§_costumesMenu2002Use this block to make "clickable" buttons:

Snap!10220010036

Snap!10220010036

lowercaseuppercase lowercase Both uppercase and lowercaseLowercaseb

6b

82 4 8 16 32 64 128 256 512 1024This 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.

ca:$brush fixa el _ del llapis a _ _ 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 } }§_ext_clr_numbersNote 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.

1This 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.

ca:$brush _ del llapis 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.

ca:$brush augmenta _ del llapis en _ 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 hexnumberlist

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.

ca:$brush barreja colors _ amb criteri _ 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-06newRGB vector255max255RGB vectorThis 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.

ca:$brush color amb _ _ _ 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 hex§_ext_clr_numberscolor numbercolor300indexfloor15scale1515255fromto122crayon132X11/W3C nameRGB hexcolorRGB vectorHSV vectorHSL vectorfair HSV vectorindex-1scale1index1color100fair HSL vectorindex-1scale1index1color110050

ca:$brush _ del color _ 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 numberrgbhslhsvrgb0transparencyRGB vectorRGBA vectorRGB hexredgreenbluehsvfalseHSV vectorhuesaturation (HSV)value (brightness)hsltrueHSL vectorsaturation (HSL)lightnessfair 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 somethingThis block reports the pen color (as a color, not as a list of numbers).

ca:✐ color de llapis actual Sets 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.

ca:✐ fixa el llapis de color _ _ 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) ca:fixa el llapis al color r: _ g: _ b: _ 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) ca:fixa el llapis al color h: _ s: _ v: _ 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

11

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

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 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 asHSL✐ HSL11000100✐ raw HSL

✐ last set asHSV✐ fair?false✐ raw HSV13100length31number

hue100if USED TO BE fairHSL✐ fair?false1number

pt:o texto multilinha _ 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 _ 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_resetThe factorial function, to make very large numbers, to demo bignums.

Block Block (including the defaults) Category’s Category’s (including the defaults)Block (including the defaults)Category’sCategory’s (including the defaults)

Saves costume as a PNG By pumpkinhead

§_costumesMenu

§_soundsMenuSaves costume as a PNG By pumpkinhead

§_costumesMenunormalnormal invertedinvertedOpens the file select dialog. When the user has submitted at least one file, it will run the ring with the file list as the input. To make it accept only a certain file extension, write the file extension, including the dot, or the MIME type (e.g. ".txt", "text/plain") in the text field. You can make it accept multiple file extension types by adding more text fields. Remove all input fields to make it accept all files.

Gets an attribute of a file. The last modified attribute reports the time the file was last modified in milliseconds since the Unix epoch (Jan 1, 1970, 12:00 AM)

namename size type last modifiedsizetypelast modifiedReads a file as a certain type. The binary string type is the file's actual contents in binary (I think). So can someone please make a MIDI player with my library.

texttext binary string costume vector costume sound

textimage audio video text SVG MIDI anyanyMIDISVG1type/

Catch errors in a reporter. Evaluates its first input. If that expression successfully reports a value, this block reports that value. If the expression causes a Snap! error, then the final input slot is evaluated with the text of what would have been the error message in variable ERROR. SAFELY TRY then reports the value of that final expression. Sometimes you'll want to throw an error in the final expression. You can put an ERROR block inside a CALL block to do that.

ca:prova de forma segura reportant _ i si _ reportant _ pl:bezpiecznie spróbuj zgłosić _ a jeśli _ zgłoś _ errCatch errors. Runs the first script. If it succeeds, nothing else happens. But if it has an error (something that would otherwise result in a red halo around the block), then the second script is run, with the text of the error message that would have been shown in the variable ERROR.

pt:tenta executar _ e, em caso de erro _ , executa _ ca:prova de forma segura _ i si _ _ pl:bezpiecznie spróbuj _ a jeśli _ _

1

1

myself§_clonablesMenu00

§_getVarNamesDict

§_getVarNamesDicterrorcall with True to turn on the entire Scheme numeric tower, including infinite-precision integers, exact rationals, and complex numbers; call with False to restore native JavaScript arithmetic.

pt:altera utilização de aritmética do Scheme para _ ca:sistema numèric d'Scheme _ pl:system liczbowy Scheme _

15Left Right10

saysay think10SecondsSeconds Minutes millisecondsthink

blocksblocks inputs blocks and inputscommenthue10Snap!10220010036movement0.5what's your name?10101thingvariableinputsSnap!102200100360000Spriteghostblocks and inputshueSnap!102200100Snap!10220010036movement0000Spriteghostthingvariable

last state

de:hat _ sich ereignet? last state

de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ und warte pt:fala _ na língua _ _ com tom _ e velocidade _ , e espera ca:digues _ amb accent _ _ to _ velocitat _ i espera pl:powiedz _ z akcentem _ _ wysokość _ szybkość _ i czekaj Hello, World!en-USالعربية=ar Български=bg বাংলা=bn Català=ca Català - Valencià=ca-VA Česky=cs Deutsch=de Dansk=dk Ελληνικά=el English-American=en-US English-British=en-GB Esperanto=eo Español=es Eesti=et Euskara=eu suomi=fi Français=fr Galego=gl Hrvatski=hr Magyar=hu Interlingua=ia Bahasa Indonesia=id Italiano=it 日本語=ja にほんご=ja-HIRA ಕನ್ನಡ=kn 한국어=ko Malayalam=ml Nederlands=nl Norsk=no Polski=pl Português=pt Português do Brasil=pt-BR Român=ro Русский=ru Slovenščina=si svenska=sv Tamil=ta Telagu=te Türkçe=tr Українська=ua 简体中文=zh-CN 繁體中文=zh-TW11

de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ pt:fala _ na língua _ _ com tom _ e velocidade _ ca:digues _ amb accent _ _ to _ i velocitat _ pl:powiedz _ z akcentem _ _ wysokość _ szybkość _ Hello, World!en-USالعربية=ar Български=bg বাংলা=bn Català=ca Català - Valencià=ca-VA Česky=cs Deutsch=de Dansk=dk Ελληνικά=el English-American=en-US English-British=en-GB Esperanto=eo Español=es Eesti=et Euskara=eu suomi=fi Français=fr Galego=gl Hrvatski=hr Magyar=hu Interlingua=ia Bahasa Indonesia=id Italiano=it 日本語=ja にほんご=ja-HIRA ಕನ್ನಡ=kn 한국어=ko Malayalam=ml Nederlands=nl Norsk=no Polski=pl Português=pt Português do Brasil=pt-BR Român=ro Русский=ru Slovenščina=si svenska=sv Tamil=ta Telagu=te Türkçe=tr Українська=ua 简体中文=zh-CN 繁體中文=zh-TW11

1005

scratch.mit.edu

redgrayscale ={ white ivory ecru cream champagne navajo alabaster gainsboro beige thistle very bright grey bright grey medium grey grey lead grey raw umber quartz dark grey jet black black } reds ={ aubergine burgundy plum mahogany merlot falu red ketchup blood ruby maroon garnet cochineal fire brick fresh red red candy apple red red velvet scarlet } oranges ={ vermillion outrageous orange orange red international orange orange blaze orange pumpkin orange tangerine shake flush orange shallow orange picante chinese orange saffron cinnamon ochre spanish orange tangerine } yellows ={ marigold yellow orange warm yellow orange yellow goldenrod macaroni and cheese streamin' yellow amber citrine sandstorm hot mustard sharp yellow green yellow golden yellow cadmium yellow dandelion lemon yellow yellow laser lemon } greens ={ electric lime inchworm spring green olivine apple green lime green yellow green lime chartreuse kiwi green fresh green kelly green screamin' green granny smith apple malachite green lawn green grass green fern shamrock olive army green asparagus moss green sage green forest green clover green xanadu mallard hunter green bottle green } teals ={ emerald green tropical rain forest pine green blue green teal jungle green green blue caribbean green aqua green mint } aquas ={ aquamarine aruba cyan turquoise brilliant blue slate blue blue grey steel blue cornflower turquoise blue pacific blue cerulean azure dodger blue } blues ={ denim ultramarine absolute zero blue peacock blue sapphire cobalt blue admiral blue midnight blue navy blue prussian blue indigo blue violet blue bell cadet blue frostmuel } violets ={ iris violet blue royal purple seance byznatium violet grape purple boysenberry rose purple petunia orchid heliotrope } magentas ={ red violet magenta hibiscus violet red rouge mulberry eggplant amethyst purple fuchsia cranberry taffy pink hot magenta french pink persian rose rose raspberry razzmatazz cerise amaranth strawberry pink crimson crimson torch red blush cardinal carmine cherry rebel brick red fuzzy wuzzy } browns ={ terracotta raw sienna burnt orange rust red bronze copper burnt sienna burnt umber earth tone chocolate coffee kobicha sepia hoed rebel brown bistre chestnut auburn } harvest ={ yam brass gold nugget jaune brilliant } pastel ={ coral butterscotch peach apricot cappuccino burlywood tan taupe desert yellow honey tumbleweed nude almond banana mania flax buff canary maize khaki celery sea green robin's egg blue cool mint iceberg baby blue sky blue royal blue periwinkle amethyst wisteria lavender lilac mauve sakura hot pink bubblegum shallow pink melon carnation salmon indian red bittersweet coral red red orange }jet blackdark greyquartzraw umberlead greygreymedium greybright greyvery bright greythistlebeigegainsboroalabasternavajochampagnecreamecruivorywhiteaubergineburgundyplummahoganymerlotfalu redketchupbloodrubymaroongarnetcochinealfire brickfresh redredcandy apple redred velvetscarletvermillionoutrageous orangeorange redinternational orangeorangeblaze orangepumpkin orangetangerine shakeflush orangeshallow orangepicantechinese orangesaffroncinnamonochrespanish orangetangerinemarigoldyellow orangewarm yelloworange yellowgoldenrodmacaroni and cheesestreamin' yellowambercitrinesandstormhot mustardsharp yellowgreen yellowgolden yellowcadmium yellowdandelionlemon yellowyellowlaser lemonelectric limeinchwormspring greenolivineapple greenlime greenyellow greenlimechartreusekiwi greenfresh greenkelly greenscreamin' greengranny smith applemalachitegreenlawn greengrass greenfernshamrockolivearmy greenasparagusmoss greensage greenforest greenclover greenxanadumallardhunter greenbottle greenemerald greentropical rain forestblue greenpine greentealjungle greengreen bluecaribbean greenaqua greenmintaquamarinearubacyanturquoisebrilliant blueslate blueblue greysteel bluecornflowerturquoise bluepacific blueceruleanazuredodger bluedenimultramarineabsolute zerobluepeacock bluesapphirecobalt blueadmiral bluemidnight blueprussian blueindigonavy blueblue violetblue bellcadet bluefrostmuelirisviolet blueroyal purpleseancebyznatiumvioletgrapepurpleboysenberryrose purplepetuniaorchidheliotropered violetmagentahibiscusviolet redrougemulberryeggplantamethyst purplefuchsiacranberrytaffypinkhot magentafrench pinkpersian roseroseraspberryrazzmatazzceriseamaranthstrawberrypink crimsoncrimsontorch redblushcardinalcarminecherryrebelbrick redfuzzy wuzzyterracottaraw siennaburnt orangerust redbronzecopperburnt siennaburnt umberearth tonechocolatecoffeekobichasepiahoed rebelbrownbistrechestnutauburnyambrassgoldnuggetjaune brilliantcoralbutterscotchpeachapricotcappuccinoburlywoodtantaupedesert yellowhoneytumbleweednudealmondbanana maniaflaxbuffcanarymaizekhakicelerysea greenrobin's egg bluecool minticebergbaby bluesky blueroyal blueperiwinkleamethystwisterialavenderlilacmauvesakurahot pinkbubblegumshallow pinkmeloncarnationsalmonindian redbittersweetcoral redred orange

Provides Scheme arithmetic functions not in JavaScript

pt:_ de _ ca:Scheme _ de _ pl:liczba _ z _ number? complex? real? rational? integer? exact? inexact? exact inexact finite? infinite? nan? numerator denominator real-part imag-part magnitude angleturn LISP syntax text code into blocks

de:verwandle Code _ in Blöcke ca:blocs del codi textual _ (+ 3 4)turn blocks into LISP syntax text code.

de:verwandle Blöcke _ in Code _ formatiert ca:codi textual dels blocs _ formatats _ true

de:animiere Setter _ Getter _ Delta _ über _ Sek. beschleunigt _ ca:modifica setter _ i getter _ amb delta _ en _ segons de forma _ pt:anima com modificador _ e inspector _ de _ em _ s de forma _ pl:animuj setter _ getter _ delta _ przez _ s przyspieszając _ 501

de:Grad _ ca:graus de _ radians pt:_ radianos em graus pl:stopnie _ 0.5

de:Fehler _ pt:assinala o erro _ pl:błąd _

de:gleite _ in _ Sek. beschleunigt: _ ca:llisca _ en _ segons de forma _ fr:glisser _ en _ sec. accélérer _ pt:desliza _ em _ s de forma _ pl:leć _ przez _ s przyspieszając _ 501linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elasticsincos

de:animiere _ um _ in _ Sek. beschleunigt: _ ca:modifica _ amb _ en _ segons de forma _ pt:anima _ de _ em _ s de forma _ pl:animuj _ o _ przez _ s przyspieszajÄ…c _ x positionsteps x position y position direction size ghost effect color effect saturation effect brightness effect fisheye effect whirl effect pixelate effect mosaic effect negative effect tempo volume balance501linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elasticdeltasincosy positiondirectionsizetempovolumebalance1 reporter12

de:Beschleunigung _ ca:de forma _ pt:a forma _ pl:przyspieszenie _ linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } sigmoid elasticquadratic-outquadratic-inquadratic-in-outcubic-outcubic-incubic-in-outquart-outquart-inquart-in-outsine-outsine-insine-in-outsigmoidelasticunknown easing function ""

de:für _ = _ bis _ _ in _ Sek. beschleunigt: _ _ ca:per _ = _ fins _ _ en _ segons de forma _ _ pt:para _ de _ a _ _ em _ s de forma _ _ pl:dla _ = _ do _ _ przez _ s przyspieszając _ _ 01001linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elasticreporter

ca:reinicia

ca:torna a casa

ca:mou-te _ passos 1

ca:vés a _ bb_goto(x, y, z)

ca:fixa la coordenada _ a _ xx y z3

ca:augmenta la coordenada _ en _ xx y z2

ca:mou-te en la _ pròpia _ passos yx y z2

ca:posició _ xx y z

ca:gira sobre _ propi en _ graus zx y z15

ca:fixa l'angle _ propi a _ zx y z45

ca:apunta cap a _ bb_pointto(x, y, z)

ca:angle _ zx y z

ca:comença a extrudir amb _ de base $_circlecircle=$_circle triangle=$_triangle square=$_square semicircle=$_semicircle line=$_line point=$_point sprite positions=$_sprite positionsbb_startextruding()

ca:deixa d'extrudir

ca:enregistra les posicions de la tortuga _

ca:punts de la base

ca:fixa el desplaçament de la base a _

ca:fixa l'escala de _ a _ $_shapeshape=$_shape movement=$_movement1

ca:augmenta l'escala de _ en _ $_shapeshape=$_shape movement=$_movement0.5

ca:escala de _ $_shapeshape=$_shape movement=$_movement

ca:enregistra posició actual

ca:torna a la posició enregistrada

var_get(name)bb_stack

ca:vista de l'escarbat Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.

ca:ordena _ segons criteri _ pl:$flash sortuj _ za pomocÄ… _ The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.

ca:associació _ _ pl:$flash skojarz _ _ This block carries out the given script for each item of the given list, like the primitive FOR EACH. What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.

ca:_ per cada _ de _ _ pl:_ dla każdego _ z _ _

1Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation). Will not work on circular lists.

ca:notació textual de _ pl:tekstowa _ ( )SENTENCE is the main constructor for sentences, represented as lists of words. It takes zero or more inputs, each of which can be either a list or a text string. If a list, the input is assumed to be a list of words. If a text string, it is converted to a list of words using SENTENCE→LIST. Then all the lists of words are appended to form a new list of words. If the inputs are lists of lists rather than lists of words, SENTENCE, like APPEND, does only one level of flattening, reporting a list of all the items of all the input lists.

ca:frase _ pl:zdanie _ Takes as input a function of N inputs and N lists. The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on. (The lists should all be the same length.)

ca:multi-mapeja _ sobre _ pl:mapuj wielokrotnie _ na _ ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc. Viewing the inputs as the rows of a matrix, ZIP reports its transpose.

pl:$flash spakuj _ Takes a sentence in text string form and reports the sentence as a list of its words.

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _ pl:zdanie $arrowRight lista _

de:$globe zeige aktuellen Standort pt:mostra a localização corrente do dispositivo no $globe ca:$globe centra a la meva ubicació

de:$globe Zoom pt:o zoom do $globe ca:$globe zoom

de:setze $globe Zoom auf _ pt:altera o zoom do $globe para _ ca:$globe fixa el zoom a _ 10

de:$globe Längengrad von x _ pt:a longitude no $globe da coordenada x _ ca:$globe longitud per a x _ 0

de:$globe Breitengrad von y _ pt:a latitude no $globe da coordenada y _ ca:$globe latitud per a y _ 0

de:setze $globe auf Länge: _ Breite: _ pt:altera a posição no $globe para (longitude: _ , latitude: _ ) ca:$globe centra a longitud: _ latitud: _ -122.25785237.872099

de:y von $globe Breitengrad _ pt:a coordenada y da latitude _ no $globe ca:$globe y per a latitud _

de:x von $globe Längengrad _ pt:a coordenada x da longidude _ no $globe ca:$globe x per a longitud _

de:ändere $globe um x: _ y: _ Pixel pt:desloca a posição do mapa de (x: _ , y: _ ) ca:$globe canvia la ubicació en x: _ y: _ píxels 1010

de:$globe Entfernung in km zu _ pt:a tua distância em km a _ no $globo ca:$globe distància en km fins a _ §_objectsMenumap_dist(lat1, lon1, lat2, lon2)y positionx position

de:$globe aktuelle Position pt:a localização corrente do dispositivo no $globe ca:$globe ubicació actual

de:$globe aktueller Breitengrad pt:a latitude corrente do dispositivo no $globe ca:$globe latitud actual

de:$globe aktueller Längengrad pt:a longitude corrente do dispositivo no $globe ca:$globe longitud actual

de:aktualisiere $globe pt:actualiza o $globe ca:$globe força refresc

de:$globe als Kostüm pt:a parte visível do $globe na forma de traje ca:$globe vestit del mapa actual

de:setze $globe Stil auf _ pt:altera o estilo do $globe para _ ca:$globe fixa l'estil de mapa a _ OpenStreetMapOpenStreetMap Wikimedia Watercolor Toner Terrain Topographic Satellite Streets Shading Mapbox (experimental)

de:erkenne Gesprochenes ar:التعرف على الكلام bg:Разпознаване на изговорени думи hr:Prepoznavanje izgovorenih riječi hy:ճանաչել ասված բառերը ca:reconèixer les paraules pronunciades cs:Rozpoznávání mluvených slov dk:At genkende talte ord eu:ahozko hitzak ezagutu el:Αναγνώριση προφορικών λέξεων es:Reconocer palabras habladas fi:Puhuttujen sanojen tunnistaminen fr:Reconnaître les mots parlés he:זיהוי מילים מדוברות hi:बोले गए शब्दों को पहचानना hu:A kimondott szavak felismerése it:Riconoscere le parole pronunciate ja:話し言葉を認識する ko:말한 단어 인식 no:Gjenkjenne talte ord po:Rozpoznawanie wypowiedzianych słów pt_BR:Reconhecendo palavras faladas pt:Reconhecendo palavras faladas ro:Recunoașterea cuvintelor rostite ru:Распознавание произнесенных слов sk:Rozpoznávanie hovorených slov si:Prepoznavanje govorjenih besed sv:Att känna igen talade ord ti:ዝተዛረቡ ቃላት ምልላይ tr:Konuşulan kelimeleri tanıma ua:Розпізнавання вимовлених слів zh_CN:识别口语单词 zh_TW:辨識口語單字 nl:gesproken woorden herkennen et:ära tunda öeldud sõnu Throw an error. Makes a red halo appear around the script that runs it, with the input text shown in a speech balloon next to the script, just like any Snap! error. This is useful to put in the second script of SAFELY TRY after some other instructions to undo the partial work of the first script.

pt:lança o erro _ pl:błąd _ ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc. Viewing the inputs as the rows of a matrix, ZIP reports its transpose.

pl:$flash spakuj _ 2columnsrank

en:say_for_secs 0false0false90false

b

321 2 4 8 16 32 64 128 256falseb-20

0red >> red=0 base colors={ red >> orange=9 red >> yellow=15 red >> green=30 red >> blue=60 red >> purple=80 more={ red >> lime=23 red >> cyan=50 red >> magenta=86 } } extras={ red >> flaming orange=5 red >> teal=43 red >> denim=54 red >> hot pink=93 }100fully saturated=100 desaturated=50 grey-scale=0100standard brightness=100 black=0 white=2000Fully Visible=0 Transparent=50 Invisible=10000001 copy=0 4 copies=1 9 copies=2 16 copies=3 25 copies=4 36 copies=5false

2223

0false0false90false

10

15

$_random position§_destinationsMenu

$_ghostcolor=$_color saturation=$_saturation brightness=$_brightness ghost=$_ghost fisheye=$_fisheye whirl=$_whirl pixelate=$_pixelate mosaic=$_mosaic negative=$_negative25

$_ghostcolor=$_color saturation=$_saturation brightness=$_brightness ghost=$_ghost fisheye=$_fisheye whirl=$_whirl pixelate=$_pixelate mosaic=$_mosaic negative=$_negative0

$_ghostcolor=$_color saturation=$_saturation brightness=$_brightness ghost=$_ghost fisheye=$_fisheye whirl=$_whirl pixelate=$_pixelate mosaic=$_mosaic negative=$_negative

$_next§_scenesMenu

true

§_getVarNamesDict0

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