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</pentrails><costumes><list 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It could be a geometric drawing but you have the chance to use creatviity here, so it can be any program.&#xD;Your test case should run but have problems for others to correct.   </comment></block><block s="clear"></block><block s="setColor"><color>145,26,68,1</color></block><block s="down"></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="forward"><l>40</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>40</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>40</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>40</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>80</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>40</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>40</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>40</l></block><block s="turnLeft"><l>90</l></block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="testCasesStarterForAssignment" app="Snap! 11.0.4, https://snap.berkeley.edu" version="2"></media></snapdata>