data:image/png;base64,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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 ca:executa en paral·lel _ i espera each scripttestAccepts 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 ca:executa en paral·lel _ 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