<snapdata remixID="13905721"><project name="Using abstraction to Nest Triangle" app="Snap! 10.1-dev, https://snap.berkeley.edu" 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select="1"><scene name="Using abstraction to Nest Triangle"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Nested triangle, size: %&apos;size#&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input></inputs><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="size#"/><l>9</l></list></block><script><block s="doRepeat"><l>3</l><script><block s="forward"><block var="size#"/></block><custom-block s="Nested triangle, size: %s"><block s="reportQuotient"><block var="size#"/><l>2</l></block></custom-block><block s="turn"><l>120</l></block></script></block></script><list></list></block></script></block-definition></blocks><primitives></primitives><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" 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