<snapdata remixID="11863346"><project name="3.1: abstraction and generalization" app="Snap! 7, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="3.1: abstraction and generalization"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Make a square" type="command" category="motion"><header></header><code></code><translations></translations><inputs></inputs><script><block s="down"></block><block s="doRepeat"><l>4</l><script><block s="forward"><l>40</l></block><block s="turn"><l>90</l></block></script></block><block s="up"></block></script></block-definition><block-definition s="Make a Equilateral Triangle" type="command" category="motion"><header></header><code></code><translations></translations><inputs></inputs><script><block s="down"></block><block s="doRepeat"><l>4</l><script><block s="forward"><l>40</l></block><block s="turn"><l>120</l></block></script></block></script></block-definition></blocks><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" id="28"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="29"></list></costumes><sounds><list struct="atomic" id="30"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite(2)" idx="1" x="-45" y="-94.64101615137741" heading="330" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="158.1,0,37.94400000000003,1" pen="tip" id="35"><costumes><list struct="atomic" id="36"></list></costumes><sounds><list struct="atomic" id="37"></list></sounds><blocks></blocks><variables></variables><scripts><script x="175" y="154.33333333333337"><block s="receiveGo"></block><custom-block s="Make a square"></custom-block><custom-block s="Make a Equilateral Triangle"></custom-block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="3.1: abstraction and generalization" app="Snap! 7, https://snap.berkeley.edu" version="2"></media></snapdata>