<snapdata remixID="10571929"><project name="0.5 Lab Getting to know Cordinates " app="Snap! 6, https://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><stage name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" scheduled="false" id="1"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="2"></list></costumes><sounds><list struct="atomic" id="3"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><sprite name="Sprite" idx="1" x="0" y="-90" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="8"><costumes><list struct="atomic" id="9"></list></costumes><sounds><list struct="atomic" id="10"></list></sounds><blocks></blocks><variables></variables><scripts><script x="278" y="108.16666666666637"><block s="receiveGo"></block><block s="clear"></block><block s="gotoXY"><l>0</l><l>0</l><comment w="521" collapsed="false">Do not change this block. This puts the sprite back to the middle of the screen every time your start the script.</comment></block><block s="down"></block><block s="gotoXY"><l>0</l><l>-80</l></block><block s="gotoXY"><l>70</l><l>0</l></block><block s="gotoXY"><l>-70</l><l>0</l></block><block s="gotoXY"><l>0</l><l>-80</l></block><block s="gotoXY"><l></l><l>100</l></block><block s="gotoXY"><l>70</l><l>0</l></block><block s="gotoXY"><l>-70</l><l>0</l></block><block s="gotoXY"><l>0</l><l>100</l></block><block s="gotoXY"><l>70</l><l>36</l></block><block s="gotoXY"><l>70</l><l></l></block><block s="gotoXY"><l></l><l>-90</l></block><block s="up"></block></script></scripts></sprite></sprites></stage><hidden></hidden><headers></headers><code></code><blocks></blocks><variables></variables></project><media name="0.5 Lab Getting to know Cordinates " app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>