data:image/png;base64,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data:image/png;base64,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003285020de: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 _
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