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 number for number of branches

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