data:image/png;base64,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:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAOhUlEQVR4Xu3VwQkAAAjEMN1/abewn7jAQRC64wgQIECAAIF3gX1fNEiAAAECBAiMAHsCAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQIHLFxAWmhEwHPAAAAAElFTkSuQmCCWhere. Going?2Warsong? Arathi? Alterac?destinationwarsongde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
pt:lança _ _
catchtagThis is a breakpoint block, to be used in debugging.
The Boolean input specifies the condition under which
the program should pause. (Use True for an unconditional breakpoint.) The intent is that the script should have
SHOW VARIABLE blocks for the process's local variables.
After the pause, this block automatically hides all temporary variables.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
This block does nothing.
Use it when you are calling a reporter
for its side effect and don't care about
its return value.de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
pt:ignora _
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 x↦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
The primitive FOR block uses an implicit step of ±1 depending on which of the starting and ending values is larger. This version allows you to provide an explicit step value. If the sign of the step input is incompatible with the ordering of the starting and ending values, the script will not be run at all.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 valueThe inputs are a starting value and one or more monadic functions.
The first function is called with the starting value as its input.
The second function is called with the value reported by the first function as its input, and so on. PIPE reports the value reported by the last function. PIPE provides an alternative notation for function composition instead of the usual nesting.
nested acronym:
report (combine (keep items (capital-letter? ( )) from
(map (letter (1) of ( )) over
(sentence→list (phrase)))) using (join ( ) ( )))
piped acronym:
report (pipe (phrase) → (sentence→list ( ))
(map (letter (1) of ( )) over ( ))
(keep items (capital-letter? ( )) from ( ))
(combine ( ) using (join ( ) ( )))
Some people find PIPE easier to read because the functions are called in the same order in which you read them, whereas in nested composition the innermost function is called first. pt:a aplicação a _ de _
1Multi-branched conditional.
If the first (Boolean) input is True, then the script in
the second (C-slot) input is run, and this block stops.
Additional tests can be added by putting one or more
ELSE IF blocks in the third (variadic) Boolean slot.
Use the arrowheads to get the number of Boolean
slots you need. Each ELSE IF block provides a Boolean
slot for a condition to test and a script slot for what to do
if the condition is True. You can put an ELSE block in
the last Boolean input to CASES for a script to run if
all the tests turn out False.
As soon as a condition is True, no further tests are done
and no further scripts are run.pt:se _ , então _ _
pt:captura _ _
contpt:lança _
catchtagFor use with the CASES block.
See its help message.pt:senão, se _ , então _
For use with the CASES block.
See its help message.pt:senão, _
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 _
501de:Grad _
ca:graus de _ radians
pt:_ radianos em graus
0.5de: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 _
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
}
elasticde:animiere _ um _ in _ Sek. beschleunigt: _
ca:modifica _ amb _ en _ segons de forma _
pt:anima _ de _ em _ s de forma _
x positionx 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
}
elasticy positiondirectionsizetempovolumebalance112de:Beschleunigung _
ca:de forma _
pt:a forma _
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
}
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 _ _
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
}
elasticgoblinmagewarsongnohawaii0noyes