data:image/png;base64,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:image/png;base64,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. Going?2Warsong? Arathi? Alterac?destinationwarsongde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
contde:wirf _
ca:llança _
es:lanzar _
fr:lance _
pt:lança _
catchtagde: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 _
1Reports a new list containing the items of the input list, but in the opposite order.ca:capgira _
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.ca:elimina els duplicats de _
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.ca:ordena _ segons criteri _
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.ca:associació _ _
11This 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 _ _
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.)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.1The identity function reports its input.aFightera