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30turn3turn3turn3turn902turn1turn1turn1turnde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
cont3de: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 _ _
catchtagde: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
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 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 value111turnturnturnturn200