This program generates complex figures made from squares, rectangles, and triangles. Practice finding the area through composition.data:image/png;base64,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:image/png;base64,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4,04,40,40,0-4,4-4,08,4-8,08,0160-8,41208,84,8408Infinity4-Infinity4-InfinityGood Job!2Now can you find the area of this complex shape?Good Job!215,4,44undefinedundefinedpoint11point22offsetX1offsetY2magnitudeundefined3changeX11changeY22slopeangle1000point4point3111222111point11point22offsetX1offsetY2magnitudeundefinedchangeX11changeY22slopeangle1000point4Badundefinedundefinedundefinedfalsepoint11point22offsetX1offsetY2magnitudeundefinedchangeX11changeY22slopeangle1000point41103undefined47undefinedundefinedundefinedundefinedundefinedundefinedundefined00undefinedsimplified listundefinedsimplified figurescalar503#itemundefinedundefinedTake any number of input lists, and create a new list containing the items of the input lists. So
APPEND [A B] [C D]
where the [,,,] are lists reports the list
[A B C D]
not [[A B] [C D]].11111undefinedReports a new list containing the items of the input list, but in the opposite order.1inputresultReports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.1undefinedLABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.de:drucke _ in Größe _
Hello!12de:ist _ leer?
de:behalte Elemente, die _ aus _
1de:für jedes _ von _ _
de:Zahlen von _ bis _
1101undefinedde:wende _ an auf _
1undefinedThat's not quite right. Try breaking the shape into smaller bits.total correct1next1undefined1undefined-160-95practice area5,0,40