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

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

de:wirf _ ca:llança _ es:lanzar _ fr:lance _ pt:lança _ catchtag

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

de:wirf _ _ ca:llança _ _ es:lanzar _ _ fr:lance _ _ pt:lança _ _ catchtag

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

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 1110

Provides 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 value