This project was originaly a Scratch project.To get more real effect of the balancing procedure it has been rewritten in Snap!.This Santa could teach a lot of K8 math.Try 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:image/png;base64,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biasbiasnegpoisePans00super0100child角色(2)-180角色(2)-18000super050child角色(2)-180角色(2)-18000super110child角色(2)-180角色(2)-18000super01child角色(2)-180角色(2)-18000super250000child角色(2)-180massmass角色(2)-180200super05child角色(2)-180角色(2)-18000super010000child角色(2)-180角色(2)-180

pt:o valor da configuração _ Project notes Project name User Presentation mode Language Zoom blocks Stage size Stage scale Retina display support Long form input dialog Plain prototype labels Input sliders Execute on slider change Clicking sound Turbo mode Flat design Keyboard editing Visible stepping Thread safe scripts Prefer smooth animations Flat line ends Codification support Inheritance support Visible palette

pt:altera o valor da configuração _ para _ Presentation mode Retina display support Long form input dialog Plain prototype labels Input sliders Execute on slider change Clicking sound Turbo mode Flat design Keyboard editing Visible stepping Thread safe scripts Prefer smooth animations Flat line ends Codification support Inheritance support

pt:altera o valor da configuração _ para _ Project notes Project name Language Zoom blocks Stage size Stage scale Visible palette

1addadd sub hold100weightweight thingaddsubholdcomparePan

1-1comparePanputthings

zh_CN:对每个项目 _ 来自列表 _ 执行 _

zh_CN:连接点集 _ 方式 _ 步长 _ 连接到第一点 _ 回到第一点 _ 10falsefalseitem

zh_CN:列表 _ 为空？

zh_CN:圆形 圆心 _ 直径 _ 201801803clockwise1802

zh_CN:移到 _ 方式 _ 步长 _ no no foldLine randomFoldLine curveLine10distance0.5

zh_CN:折线 _ 步 宽度 _ 方向 _ 方式 _ 1010leftleft rightangleatan2chordsinleft

zh_CN:圆弧 _ 步 角度 _ 分段数 _ 方向 _ 方式 _ 503010clockwiseclockwise anticlockwisedirr2sin2segLengthsqrt21cosclockwise

zh_CN:移动 _ 步 方式 _ 步长 _ 5010dist0.50

zh_CN:入射角 _ 和线段 _ 的反射角 60

zh_CN:倾斜角 起点 _ 终点 _ 0angleatan0

zh_CN:将和线段 _ 产生交点？ 180180true

zh_CN:到线段 _ 的距离，交点为 _ pointangle112angle21angle31angle490360360includedAngle1absincludedAngle2abs180180includeAngle3180edgeLengthsqrt221221111111vDistancesindistanceabscos90hypotenusesqrt2coscrossPoint11cos21sin

zh_CN:线段 _ 的中间点

zh_CN:和线段 _ 的交点，距离为 _

zh_CN:线段长度 _

zh_CN:线段 _ 上的任意一点 translate angle to or from polar coordinates

zh_CN:角度转换 _ 0

zh_CN:线段1 _ 和线段2 _ 的交点 point1angle112angle21angle31angle42includedAngle1absincludedAngle2abs180180includeAngle3180edgeLengthsqrt221221111111vDistancesindistanceabscos90hypotenusesqrt2coscrossPoint11cos21sin

zh_CN:开始跟踪

zh_CN:我的轨迹

zh_CN:重置轨迹

zh_CN:线段1 _ 和线段2 _ 有交点？ 180180true

zh_CN:复制列表 _

de:ist _ leer? ca:_ buida? es:_ vacía? fr:_ vide?

de:wende _ an auf _ ca:mapeja _ sobre _ es:mapear _ sobre _ fr:appliquer _ à _ 1

zh_CN:圆弧 _ 步 角度 _ 方向 _ 方式 _ 5030clockwiseclockwise anticlockwisedirsections3r2sin2segLengthsqrt21cosclockwise

zh_CN:入射角 _ 和线段角度 _ 的反射角 6090

zh_CN:折边线条 _ 步 宽度 _ 方向 _ 1010leftleft right

zh_CN:取消跟踪

zh_CN:方波 _ 步 方向 _ 方式 _ 20leftleft rightsideLength2left

zh_CN:方波 _ 步 宽度 _ 方向 _ 方式 _ 2020leftleft right middleleft

zh_CN:圆形 直径 _ 分段数 _ 方式 _ 100202

leftPan-11000150,750,2000,250,2500,1200,25000,9000,60,2000,1650