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data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAACtUlEQVR4nO3BMQEAAADCoPVPbQwfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA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Accepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then waits for them all to complete. This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.

pt:executa _ em paralelo e espera each scripttest

Accepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then continues with the current script while they all run. This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.

pt:executa _ em paralelo