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YEfDrvHZNIZ9gxIc9Y1bh+C7qsIJPJcWyQhmVZUkDZPgGgABBdnZ1Ye81qtLS08AZFFDimwtOQ6UdNOADHzqFhShTzZ0yDTwMXoCpkxRwb/QMpHO3oQRwqW9BI0MRgOgNd1SArLu+EQEaQyrsGUzmYBnhROm3GlcxYAkDBH9Dd1Ykbr1vDc8BEIsVBZLJu0UCQl1tKjsMB5qqAH3OmTYGpaTyspnNZ5GwXvckUulMWOrq7EQn6eR5IKTeCmGCV7Xz2hNJ5Bs0pacsPGVA0EYgW/IHmgJ1Yt2Ylerq7ueo5lckgl7MYFMpm0JYINIeLmD7Mqa3m0ApVsyRTaXTG40hbOUAxkLNyfA6t+SUAXYnifxJcK8dFDuyLUDhHlnkIp1+LIVggyEPwdatXwEoO5i0XV8HkU2+0dJKWYMq6AX/I5GWaNu3RwREWKtly2btNZXK8b6AuudAkGZKs4PDxbq56yWazXLRKcUJeUeK4MDQFM+unCAAFf+Big7/819MI+BSufqbAMlVCU1otkcsiFk9AVk44FSpVxFByjb5oZkcLlWgRkwQVClSa99FGlgD2H2hFMmuxZSTHxqF6LqpLZUvosqMjLKAgkBWgAPP4W/Hm43gjt9ctLpyXJecCwOI6ihYlVEAAWEJxRdfFFRAAFtdItCihAgLAEoorui6ugACwuEaiRQkVEACWUFzRdXEFBIDFNRItSqiAALCE4oquiysgAASwYsUKVuqDDz4orphoMakKVDyAFP3fuXMnr4NYu3Ytjhw5gtmzZ0+qyKKz8RWoaAAXL16MWbNmYdeuXaxQX18fbyHmJYUkoJocBSoawPw610KeMy/oWD+bHKkn7uWbb77BwoULT8WlzqhrVCyAl1xyCS6++GJs2bJl6IHQEPzee++dFgu4bNky0NcTTzxxRgFS6g9TkQAePXoUc+bMwUcffcT6Pvnkk/jwww9xxx13YPPmzZg2bdpJug+vFFmzZg3effddbkPf7969e0T7RYsW4auvvvpFz64AngDwF8l2djYuwHTFFVfwDSxYsADPPffchDdTGJrplab19fVDVnKsIZsAH+3IEKi0oxQddN3HH398xPUEgGcnS7/qUxM0jz76KN5++23s37+/aB9kFQkqgpS+37t375Dj4mXOSJb2hhtuGDqn8D0NuYVDAFj0MZRHA3rQ6XSaQaK3g7/66qtYvXr1mDdHrzCl9jQ800HfE3AELVlNOrwAOBqu4X8vTAO2bdvGFpIs7PCDXh599913Y/369eXxAEbdRcXNAUfDMBFA+/btw0MPPYSPP/54SDaaJxIshePOO+/E9u3beR64atWqMSEZ65oFiAtWkCwsHcP7pr/TuzRefvllvPHGG2xFd+zYUVYgVjyA9FAp9rd169ZxH2yx4ZEsKlnEpqamMT3ou+66i+ON1M9rr72G++67j2OOw49i16AAOTlLowE922mseAALwyjN6ygsM9bx448/4rzzzisanhnPmi5ZsgSfffbZUNdjBbqLAXi2gzbe5xcAArj//vtZn4k8YbKUZOEKccOCBz1c2ImG82JzRQFguf4TG3Vfv+VBD/daC85DoXsKs9TV1Y07RAoAxwZMWMDf+A+Phu5CVoW+H++ged/nn38+boC6MLcjp6aSjooDsBQPl0InY2VPRl+r4DFT+IegLWRTSvGZzpY+KxpAivMVYnyn8oFRyIXKv7xAeyo/1+m4VsUCSKVYlC576623Tofu4ponFKhIAAV8Zw7/FQeggO/MgY9jsJX2ssJi4ZAz6/GU/6epOAAp6ExZCS/1epQZodDJWJkL8nwpQzI8Nlj+uEz+HVYcgCQh5WYp7vbKK6/g1ltvHVfV8awlDeMEH+WAf+n6EeqTPGC6NmVXKv2oSADpoZMFu/HGGxmisazhPffcg1AohGeeeWYEI1S4QFaPvGf6k6plCiBdf/31eOedd0CAUiUNHZTeoyA0HYVsCZWCDS9qrWQIKxbAwkMnCCkuNxrCsawfpfGobSFrQfBSvV7BChYqrSm2SHBS202bNuH555/nyxX6pCD0ueeeW3aVLb/mH1LFA0iijQXhWABSIQLNH2n4LBzD29H3BN54we3C7ymP/EuH7l/zcM+GcwSAJ54SDY900Kq4N998Exs2bGALNvoYDeZoAGmtx3gLiwoWUsD3s6oCwBNaDB9OJ6qYKRQf0Nxw48aNXM5fyKYQYBMBOHwYPhus06n4jAJAgC0dLdMslMm/8MILuPfee8ccJmkNCYFH54z2or0ASAUJHR0dbGnFUYGB6OEPnaweDb00Jxu+0Ija0M+oWIG27Vi3bt1JrIxVAUPeLsFZbG8ZAvXTTz8FVUpX+lGxFpDWV9BQS2tBJqrBa2hoQFtbGzsXFFIh7/W3HoUSf3qdPcUEK/moSADJAhF0Ey1EGg0FWcTJzHp4XWdS7nBWJIBnykOdbKjPlPv6JZ9DAPhL1BJtJ12B/wfWr009MudIfAAAAABJRU5ErkJggg==

110i

121

The nested FOR loops are the important part of this solution. Details like the starting position of the sprite might be different in student solutions.2000No-offence

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 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 ca:executa en paral·lel _

OOON/A

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==X's turn?

I am the game master!2

Xtrue9X,2,O,X,O,X,O,X,Ofalsetrue20