R to rename SPACE to send message S to change rooms <br> for newlines 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data:image/png;base64,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

pt:executa no modo turbo _

10

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250Only for those who are too lazy to use the ring. ;)

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

de:falls _ dann _ und pause $pause-1-255-220-0 ca:si _ fes _ i atura-ho tot $pause-1-255-220-0 es:si _ haz _ y páralo todo $pause-1-255-220-0 fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0 pt:se _ , então _ e faz pausa em tudo $pause-1-255-220-0 Call f(f(f(...(f(x))))) n times where the three input slots are n, f, and x from left to right. The # variable can be used inside f to represent how many times f has been called.

pt:o resultado de _ invocações em cascata de _ com argumento inicial _ _ Call f(f(f(...(f(x))))) until condition is true, where the three input slots are condition, f, and x from left to right. The # variable can be used inside f or condition to indicate how many times f has been called.

pt:o resultado da invocação em cascata até que _ de _ com argumento inicial _ _ Returns the function f(g(x)) where f and g are the two inputs.

pt:a composição de _ com _ 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.

pt:repete _ até que _ $loop-0.7 Run the script repeatedly, as long as the given condition is true. Runs the script at least once before testing the condition.

pt:repete _ enquanto _ $loop-0.7 Runs the script repeatedly, as long as the condition is true. Tests the condition before the first time the script is run. Like the built in REPEAT UNTIL except that in this block the condition must be true, not false.

pt:enquanto _ , repete _ $loop-0.7 Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script. Try REPEAT (200) MOVE (#) STEPS RIGHT 92 with the pen down.

pt:repete _ vezes _ _ $loop-0.7

pt:para _ de _ com passo _ a _ _ $loop-0.7 1110Provides LOOP as a function of one input that runs the body of the LET with A set to the function input, so the body can run itself recursively. See COPY block in Variables for an example of use.

pt:tendo _ o valor inicial _ , executa _ definido como _ new valueTake any number of input lists, and create a new list containing the items of the input lists. So APPEND [A B] [C D] where the [...] are lists reports the list [A B C D] not [[A B] [C D]].

length11111Reports a new list containing the items of the input list, but in the opposite order.

1inputresultReports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.

1Reports 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.

copy of datasplitmerge11#1#2The 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.

11This block applies the given function to each item of the given list, like the primitive MAP block, but with two differences: 1. The # variable provided will contain the item number of the item currently being used in the given function: 1 for item 1, and so on. You read the variable in your function; don't set it. 2. You can provide more than one input list. If so, the lengths of all the lists should be the same, and the function you supply must expect as many inputs as you have lists (i.e., that many empty input slots in the function).

#11datacountmapmany##1#1data listscountThis block makes a new list containing selected items from the given list, like the primitive KEEP block. What's different is that it provides the # variable for use in your predicate function. It will contain the item number (in the original list) of the item being examined by the predicate.

#1datacount1This 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.

pt:a prefixação de _ ao canal _

pt:o primeiro item do canal _

pt:um canal com todos os itens de _ menos o primeiro 423true4

pt:a aplicação de _ aos itens dos canais _

pt:os itens tais que _ do canal _

pt:a aplicação de _ aos itens de _ 1datamapmany1data lists

pt:o canal _ está vazio

pt:uma lista com os itens do canal _ até ao _ º 1001

pt:um canal com _ 1

pt:a crivagem do canal _

pt:um canal com os números a partir de _ 1Takes any number of numbers as inputs (use the left and right arrowheads to adjust the number of input slots) and reports the result of adding them all, so (SUM (4) (100) (8)) reports 112.

pt:a soma de _ 1Takes any number of numbers as inputs (use the left and right arrowheads to adjust the number of input slots) and reports the result of multiplying them all, so (PRODUCT (4) (100) (8)) reports 3200.

pt:o produto de _ 1Takes any number of Boolean (true/false) inputs (use the left and right arrowheads to adjust the number of input slots) and reports TRUE only if all of the inputs are TRUE, otherwise FALSE. Like AND but for multiple inputs.

pt:todas as afirmações _ são verdadeiras 1Takes any number of Boolean (true/false) inputs (use the left and right arrowheads to adjust the number of input slots) and reports TRUE if at least one input is TRUE, otherwise FALSE.

pt:alguma das afirmações _ é verdadeira 1Takes a text string as input, and reports a new text string containing all but the first character of the input.

pt:_ sem o primeiro caractere resulti2Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a primeira palavra Takes a text string as input, and reports a new text string containing all but the last letter of the input.

pt:_ sem o último caractere resulti1Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a última palavra 11111Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing only the first word, with no spaces before or after it.

pt:a primeira palavra de _ Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing only the last word of the input, with no spaces before or after it.

pt:a última palavra de _ 11Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.

pt:a palavra _ está vazia Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.

pt:a frase _ está vazia

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ pt:uma frase com as palavras _ 121

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

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _ report a list in which each item is one letter from the input word

de:Wort $arrowRight Liste _ ca:paraula $arrowRight llista _ es:palabra $arrowRight lista _ fr:mot $arrowRight liste _ pt:uma lista com os caracteres da palavra _ join all the items of the input list into a single word, and report it

de:Liste $arrowRight Wort _ ca:llista $arrowRight paraula _ es:lista $arrowRight palabra _ fr:liste $arrowRight mot _ pt:uma palavra com os caracteres em _

pt:se _ , então _ _ test

pt:captura _ _ cont

pt:lança _ catchtag

pt:senão, se _ , então _

pt:senão, _

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ A72

pt:altera a cor da caneta para matiz _ , saturação _ e brilho _ (0 a 1) 0.30.70.6

pt:a cor da caneta em HSV (matiz, saturação e brilho, 0 a 1)

pt:altera utilização de aritmética do Scheme para _

Provides Scheme arithmetic functions not in JavaScript

pt:_ de _ number? complex? real? rational? integer? exact? inexact? exact inexact finite? infinite? nan? numerator denominator real-part imag-part magnitude angle

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 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 }

distanceabs11abs22abs33index11

25500

de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ pt:fala _ na língua _ _ com tom _ e velocidade _ Hello, World!en-US العربية=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 _ und warte pt:fala _ na língua _ _ com tom _ e velocidade _ , e espera Hello, World!en-US العربية=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-TW11display the given bitmap in a copy of the current costume (so you can switch back to the original costume again)

pt:mostra a imagem _

pt:executa no modo turbo _

de:$flash sortiere _ nach _ pt:$flash uma ordenação de _ com critério _

de:$flash umgekehrt _ pt:$flash uma lista inversa de _ returns a frequency analysis of the argument list, represented as a two-column table, where the first column contains the unique values and the second column their occurrences

pt:$flash as frequências dos itens de _

pt:o agrupamento dos itens de _ de acordo com _

pt:uma ordenação de _ com critério _

pt:o histograma de _ entre _ e _ com intervalo _ 1

pt:o histograma de _ agrupado de acordo com _ entre _ e _ com passo _ add missing entries to a sorted list. Used for histograms

pt:os itens de _ com a chave _ entre _ e _ com passo _ completados por _ 11

pt:a aplicação a _ de _ 1

pt:_ em minúsculas

pt:desenha gráfico de barras de _ em (x: _ , y: _ ) com largura _ e altura _ -200-100400200ratio1steplength20.52flagSpriteMorph.prototype.useFlatLineEnds = flag;

de:$globe zeige aktuellen Standort pt:mostra a localização corrente do dispositivo no $globe

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

de:setze $globe Zoom auf _ pt:altera o zoom do $globe para _ 10

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

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

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

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

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

de:ändere $globe um x: _ y: _ Pixel pt:desloca a posição do mapa de (x: _ , y: _ ) 1010

de:$globe Entfernung in km zu _ pt:a tua distância em km a _ no $globo §_objectsMenustagelat1lng1lat2lng2return stage.worldMap.distanceInKm(lat1, lng1, lat2, lng2)stagey positionx position

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

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

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

de:aktualisiere $globe pt:actualiza o $globe

de:$globe als Kostüm pt:a parte visível do $globe na forma de traje

de:setze $globe Stil auf _ pt:altera o estilo do $globe para _ Wikimedia OpenStreetMap Wikimedia Watercolor Toner Terrain Topographic Satellite Streets Shading Mapbox (experimental)

pt:cria as variáveis globais _ var ide = this.parentThatIsA(IDE_Morph); ide.flushBlocksCache('variables'); // b/c of inheritance ide.refreshPalette();

pt:cria as variáveis de objecto _ var ide = this.parentThatIsA(IDE_Morph); ide.flushBlocksCache('variables'); // b/c of inheritance ide.refreshPalette();

pt:a variável _ existe

pt:os dados JSON _ em formato de lista

pt:o valor com chave _ em _

pt:executa _ em paralelo e espera each scripttest

pt:executa _ em paralelo 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

x x y z1

yaw yaw pitch roll1

x x y z1

1

1

testtestvar leapScript, done = false; leapScript = document.createElement('script'), leapScript.onload = function () { done = true; console.log('leap is ready'); }; document.head.appendChild(leapScript); leapScript.src = 'https://js.leapmotion.com/leap-0.6.4.min.js'; return function () {return done; }window.controller = new Leap.Controller({enableGestures: true, background: true}); window.controller.connect();

error

pt:a resposta a _ de _ enviando _ e cabeçalhos _ GET GET POST PUT DELETEhttps://snap.berkeley.edu

pt:um par (chave: _ , valor: _ ) Reports a three-item list containing the latitude and longitude of the user, and the precision of the measurements. Works only if the user allows snap.berkeley.edu access to location data. Some browsers also require an HTTPS connection to Snap!.

pt:a localização actual do dispositivo generate a list of samples representing a sine wave at the given frequency, duration and sample rate

pt:as amostras de som com _ Hz de _ s amostrado a _ Hz 440 a 55=55 a 110=110 a 220=220 a 440=440 a 880=880 a 1760=1760 a 3520=3520144100 22.05 kHz=22050 44.1 kHz=44100 88.2 kHz=88200 96 kHz=96000

pt:π

pt:o som _ §_soundsMenuquickly plot the samples of a sound, a list of samples (single channel), or a list of lists (multiple channels) to the stage at a lower resolution.

pt:desenha o gráfico do som _ §_soundsMenu1listoffsetwidthStage-2

pt:a nota com _ Hz 440

pt:a frequência da nota _ 69

pt:o nome da nota _ 69

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 _ 501

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

de:Fehler _ pt:assinala o erro _

de:gleite _ in _ Sek. beschleunigt: _ ca:llisca _ en _ segons de forma _ fr:glisser _ en _ sec. accélérer _ pt:desliza _ em _ s de forma _ 501linear linear 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 } elastictime in milliseconds

de:animiere _ um _ in _ Sek. beschleunigt: _ ca:modifica _ amb _ en _ segons de forma _ pt:anima _ de _ em _ s de forma _ x position 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 balance501linear linear 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 } elasticy positiondirectionsizetempovolumebalance1reporter12

de:Beschleunigung _ ca:de forma _ pt:a forma _ linear linear 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 } elasticquadratic-inquadratic-outquadratic-in-outcubic-incubic-outcubic-in-outquart-inquart-outquart-in-outsine-insine-outsine-in-outelasticunknown easing function ""

de:für _ = _ bis _ _ in _ Sek. beschleunigt: _ _ ca:per _ = _ fins _ _ en _ segons de forma _ _ pt:para _ de _ a _ _ em _ s de forma _ _ 01001linear linear 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

auto display={ default=auto hidden=none } crosshairs={ crosshair cell } system={ loading={ progress wait } hands={ grabbers={ movable=grab moving=grabbing } link=pointer } resize={ up-down resize=n-resize upright-downleft resize=ne-resize upleft-downright resize=nw-resize expand=all-scroll extrude=col-resize extend=row-resize } }

false

Reports the value previously stored under the input key in the browser's local storage. Reports False if the key is not found.

Opens a website in a new tab or window. Make sure it starts with https:// or http://

https://www.google.comPopup with text.

Creates a desktop notification. Any or all of the inputs can be filled. NB: Will ask user for permission first.

Popup with 'Ok' or 'Cancel'

Popup with an input.

Creates a new window with text in.

TextCreates a browser cookie with the value, title, and expire date.

Returns the value of the specified cookie.

pngsb2xmlrtfhtmlSets cursor to a specific image. See https://www.w3schools.com/CSSref/playit.asp?filename=playcss_cursor&preval=alias for a list of keywords

"Help! I don't know how to change the cursor back!"

Opens a new window with a website.

https://www.google.comGet html contents from anywhere on the internet.

https://en.wikipedia.org/wiki/Main_pageReads 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 soundOpens 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.

Hello worldHello

Hello worldworld

80100

§_soundsMenu50

saysay thinkHello!0.04§_soundsMenutrue2saycurrentnextsay

what's your name?0.04§_soundsMenutruecurrentnext

Reports the currently pressed mouse button's ID (i.e. middle click is 1, right-click is 2). If no buttons are currently being pressed, it will report -1. If multiple are pressed at once, it will report the ID of the button most recently pressed. This doesn't work for left clicks, however. For that you need to use 'mouse down?'.

§_costumesMenucostume

§_soundsMenusoundAllows reading global settings programmatically.

pt:o valor da configuração _ project notes project name user presentation mode language zoom blocks stage size stage scale retina display support long form input dialog plain prototype labels input sliders execute on slider change clicking sound turbo mode flat design keyboard editing visible stepping thread safe scripts prefer smooth animations flat line ends codification support inheritance support hyper blocks support visible paletteAllows changing global settings programmatically. This block is for Boolean settings; use 'set value' for non-Boolean values.

pt:altera o valor da configuração _ para _ presentation mode retina display support long form input dialog plain prototype labels input sliders execute on slider change clicking sound turbo mode flat design keyboard editing visible stepping thread safe scripts prefer smooth animations flat line ends codification support inheritance support hyper blocks supportAllows changing global settings programmatically. This block is for numeric or text settings; use 'set flag' for Boolean values.

pt:altera o valor da configuração _ para _ project notes project name language zoom blocks stage size stage scale visible paletteReports all the current sprite's scripts in a list.

§_costumesMenuDownloads a file onto the user's computer. URLs are supported, and required for PNG images and possibly other extensions. Update: Now supports backslashing of URLs to instead get a file with the URL as its binary contents.

filenamebody.txt.txt .xml .html

horizontalhorizontal verticalcurrent§_costumesMenuverticalcstncst.name = n;name

Sends a notification to the user's device. The icon/image parameters take a costume as input and the onclick parameter takes a JavaScript or Snap! function.

Hi there!How are you today?current§_costumesMenu§_costumesMenuthis.close();Update: Now accepts URLs!

defaultauto cell copy crosshair default grab grabbing help move not-allowed pointer progress text n-resize s-resize e-resize w-resize ne-resize se-resize nw-resize sw-resize

comment...

Credit to @programmer_user

Costumes/alonzo.pngfunction () { var obj = {}; world.children[0].getMediaList('Costumes').forEach(image => { obj[image.name] = 'Costumes/' + image.fileName; }) return obj; }

titleurl=href hash title origin

titletitle locationSnap!Catch 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 _ returnInforms something AND waits until the user has pressed OK.

This is some content!!

Asks the user a yes/no question, then reports true or false based on whether they clicked yes.

Are you sure??Waits for user input, then reports the thing they typed. If you press cancel, however, it reports false instead.

What's your name?John Doe

Hello! How are you? Are you okay?

uppercaseuppercase lowercase capitalize line capitalize full capitalizePink girluppercaselowercasecapitalizeline capitalizefull capitalize

firstfirst lastletterletter wordworldlast

,

PINK GIRLuppercaseduppercased lowercased capitalized line capitalized full capitalized

Returns the roman number as actual number e.g. IV = 4 XL = 40 CD = 400 CLM = 1050 MMMM = 4000

el:λατίνα _ ως νούμερο de:Latein _ als zahl MDCLXVIIVXLCDMlettertrue11each pairI1V5X10L50C100D500M1000each letterletter111#1#2indexlistReturns the actual number as roman number, Can be slow for large operations. e.g. 4 = IV 40 = XL 400 = CD 1050 = CLM 4000 = MMMM

el:νούμερο _ ως λατίνα de:Zahl _ als Latein 16660symbolsoutputsymbolsI1V5X10L50C100D500M1000M̅1000000output0falseThrow 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 _ el:σφάλμα _ de:Error _ Error

raincoatcontainscontains starts with ends withcoatstarts withends with

13world

world

world

50

x

Hello! How are you? Are you okay?12xsbllineindexlinelength length2

Sprites: All the sprites (not including the stage). Clones: Every clone from every sprite. Objects: Both sprites and clones.

spritessprites clones objectsmyselfother spritesclonesobjects

11110

minmin max

ohello worldx

11 last randomdata

Pause a selected range of processes.

allall this script all but this scriptUnpause each paused process.

thing

score365

score

score

1102

score

acat

pie pi phi weekdays months latin alphabet

takes a snapshot with the webcam and reports it as a new costume, or zero if the user cancels

pt:$camera a imagem actual do vídeo records an audio snippet and reports it as a new sound, or zero if the user cancels

pt:$circleSolid-1-255-0-0 uma nova gravação Supplimental version of the primitive pen getter block.

el:στυλό _ de:Stift _ RGBRGB RGBA HSV HSVA red green blue hue saturation value alpha

2552200255

Returns the current FPS the project is running at.

1mouse-pointerfunction () { var object = { "random position" : "random position", "mouse-pointer" : "mouse-pointer", "center" : "center", "~": "~", }; var spritesObj = {}, homeSprite = world.children[0].currentSprite || {name:null}; world.children[0].sprites.itemsArray().map(e=>e.name).forEach( function (spriteName){ if (spriteName != homeSprite.name){ spritesObj[spriteName] = spriteName; }}) if (Object.keys(spritesObj).length < 1){ delete object["~"]; } return Object.assign(object, spritesObj); }12

applesI like applesbananas

asteam

§_soundsMenu

256256horizontallyhorizontally vertically

Sounds/Chord.wavfunction () { var obj = {}; world.children[0].getMediaList('Sounds').forEach(audio => { obj[audio.name] = 'Sounds/' + audio.fileName; }) return obj; }LET (FOO) BE (5) is equivalent to SCRIPT VARIABLES (FOO) SET (FOO) TO (5)

pt:cria a variável de guião _ com valor _ I cant think of a better name for this block lol, please suggest in the forum topic if you have any better ideas

current§_costumesMenu2heightwidthold pixelsheightheightwidthwidthold pixelspixelsfactor4w14h014

430function() { return { "identity": ["identity"] }; }

monospacearial cursive monospacefalsefalse

namename bold? italic?

texttext costumeBoolean

0.2this block

AB82Hello World!BOT

AB82

0<br>[user ¨cardboarddeveloper¨, at 3/7/2021, 19:22] said<br>AMOGUUUUUs<br>[user ¨minecraft herobrine¨, at 3/7/2021, 19:18] said<br><Image> https//:example.com/example.png<br>[user ¨minecraft herobrine¨, at 3/7/2021, 19:19] said<br>ahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh<br>[user ¨cardboarddeveloper¨, at 3/7/2021, 19:24] said<br><Image> https://www.licenseglobal.com/sites/licenseglobal.com/files/trollface.png<br>[user ¨cardboarddeveloper¨, at 3/7/2021, 19:24] said<br>la creatura<br>[user ¨minecraft herobrine¨, at 3/7/2021, 19:22] said<br>suuuuuuuuuuuuuuuus<br>[user ¨minecraft herobrine¨, at 3/7/2021, 19:25] said<br>vuuuuuuuuuuuuvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv<br>[user ¨minecraft herobrine¨, at 3/7/2021, 20:52] said<br>mpgsgncbttg<br>[user ¨minecraft herobrine¨, at 3/7/2021, 20:52] said<br>Message<br>[user ¨minecraft herobrine¨, at 3/7/2021, 20:53] said<br>Message<br>[user ¨minecraft herobrine¨, at 3/7/2021, 20:53] said<br>Message<br>[user ¨cardboarddeveloper¨ connected at 4/7/2021, 0:11]<br>[new user ¨cardboarddeveloper¨ connected at 8/9/2021, 11:17]<br>[user ¨cardboarddeveloper¨, at 8/9/2021, 11:18] said<br>suuus<br>[user ¨cardboarddeveloper¨, at 8/9/2021, 11:19 transferred to room ¨sus¨!]<br>[user ¨cardboarddeveloper¨ connected at 10/9/2021, 10:54]<br>[user ¨cardboarddeveloper¨ connected at 10/9/2021, 10:54]<br>[user ¨cardboarddeveloper" changed their name to ¨herobriner¨, at 10/9/2021, 10:54 ]<br>[user ¨herobriner¨, at 10/9/2021, 10:54] said<br><Image> data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAoHCBUVFRgWFRIYGRgaGBgYGBgYGBgYGBgYGBgaGRgYG<br>[user ¨herobriner¨, at 10/9/2021, 10:55] said<br>nooo<br>[user ¨herobriner¨, at 10/9/2021, 10:55] said<br>not gamer<br>[user ¨herobriner¨, at 10/9/2021, 10:55] said<br>aa<br>[user ¨herobriner¨ connected at 10/9/2021, 10:55]00 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAoHCBUVFRgWFRIYGRgaGBgYGBgYGBgYGBgYGBgaGRgYG