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If we do, next iteration should fix it\n          } while (retriesCount > 0 && isSamePosition(oldBody.pos, body.pos));\n\n          if (retriesCount === 0 && isSamePosition(oldBody.pos, body.pos)) {\n            // This is very bad, we ran out of precision.\n            // if we do not return from the method we'll get into\n            // infinite loop here. So we sacrifice correctness of layout, and keep the app running\n            // Next layout iteration should get larger bounding box in the first step and fix this\n            return;\n          }\n        }\n        // Next iteration should subdivide node further.\n        insertStack.push(node, oldBody);\n        insertStack.push(node, body);\n      }\n    }\n  }\n}\nreturn createQuadTree;\n\n`}function Xt(t){let n=Ht(t);return`\n  function isSamePosition(point1, point2) {\n    ${n("var d{var} = Math.abs(point1.{var} - point2.{var});",{indent:2})}\n  \n    return ${n("d{var} < 1e-8",{join:" && "})};\n  }  \n`}function Jt(t){var n=Math.pow(2,t);return`\nfunction setChild(node, idx, child) {\n  ${function(){let t=[];for(let e=0;e<n;++e){let n=0===e?"  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Each quad is presented by number:\n  // 0 | 1\n  // -----\n  // 2 | 3\n${function(t){let n=[];for(let r=0;r<e;++r)n.push(`${t}quad${r} = null;`);return n.join("\n")}("  this.")}\n\n  // Total mass of current node\n  this.mass = 0;\n\n  // Center of mass coordinates\n  ${n("this.mass_{var} = 0;",{indent:2})}\n\n  // bounding box coordinates\n  ${n("this.min_{var} = 0;",{indent:2})}\n  ${n("this.max_{var} = 0;",{indent:2})}\n}\n`}function Zt(){return"\n/**\n * Our implementation of QuadTree is non-recursive to avoid GC hit\n * This data structure represent stack of elements\n * which we are trying to insert into quad tree.\n */\nfunction InsertStack () {\n    this.stack = [];\n    this.popIdx = 0;\n}\n\nInsertStack.prototype = {\n    isEmpty: function() {\n        return this.popIdx === 0;\n    },\n    push: function (node, body) {\n        var item = this.stack[this.popIdx];\n        if (!item) {\n            // we are trying to avoid memory pressure: create new element\n            // 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en=Ft;function rn(t){let n=en(t);return`\n  var boundingBox = {\n    ${n("min_{var}: 0, max_{var}: 0,",{indent:4})}\n  };\n\n  return {\n    box: boundingBox,\n\n    update: updateBoundingBox,\n\n    reset: resetBoundingBox,\n\n    getBestNewPosition: function (neighbors) {\n      var ${n("base_{var} = 0",{join:", "})};\n\n      if (neighbors.length) {\n        for (var i = 0; i < neighbors.length; ++i) {\n          let neighborPos = neighbors[i].pos;\n          ${n("base_{var} += neighborPos.{var};",{indent:10})}\n        }\n\n        ${n("base_{var} /= neighbors.length;",{indent:8})}\n      } else {\n        ${n("base_{var} = (boundingBox.min_{var} + boundingBox.max_{var}) / 2;",{indent:8})}\n      }\n\n      var springLength = settings.springLength;\n      return {\n        ${n("{var}: base_{var} + (random.nextDouble() - 0.5) * springLength,",{indent:8})}\n      };\n    }\n  };\n\n  function updateBoundingBox() {\n    var i = bodies.length;\n    if (i === 0) return; // No bodies - no borders.\n\n    ${n("var max_{var} = -Infinity;",{indent:4})}\n    ${n("var min_{var} = Infinity;",{indent:4})}\n\n    while(i--) {\n      // this is O(n), it could be done faster with quadtree, if we check the root node bounds\n      var bodyPos = bodies[i].pos;\n      ${n("if (bodyPos.{var} < min_{var}) min_{var} = bodyPos.{var};",{indent:6})}\n      ${n("if (bodyPos.{var} > max_{var}) max_{var} = bodyPos.{var};",{indent:6})}\n    }\n\n    ${n("boundingBox.min_{var} = min_{var};",{indent:4})}\n    ${n("boundingBox.max_{var} = max_{var};",{indent:4})}\n  }\n\n  function resetBoundingBox() {\n    ${n("boundingBox.min_{var} = boundingBox.max_{var} = 0;",{indent:4})}\n  }\n`}var on=nn.exports,an={exports:{}};const un=Ft;function sn(t){return`\n  if (!Number.isFinite(options.dragCoefficient)) throw new Error('dragCoefficient is not a finite number');\n\n  return {\n    update: function(body) {\n      ${un(t)("body.force.{var} -= options.dragCoefficient * 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}\n\n    var coeff = timeStep / body.mass;\n\n    ${n("body.velocity.{var} += coeff * body.force.{var};",{indent:4})}\n    ${n("var v{var} = body.velocity.{var};",{indent:4})}\n    var v = Math.sqrt(${n("v{var} * v{var}",{join:" + "})});\n\n    if (v > 1) {\n      // We normalize it so that we move within timeStep range. \n      // for the case when v <= 1 - we let velocity to fade out.\n      ${n("body.velocity.{var} = v{var} / v;",{indent:6})}\n    }\n\n    ${n("d{var} = timeStep * body.velocity.{var};",{indent:4})}\n\n    ${n("body.pos.{var} += d{var};",{indent:4})}\n\n    ${n("t{var} += Math.abs(d{var});",{indent:4})}\n  }\n\n  return (${n("t{var} * t{var}",{join:" + "})})/length;\n`}pn.exports=function(t){let n=vn(t);return new Function("bodies","timeStep","adaptiveTimeStepWeight",n)},pn.exports.generateIntegratorFunctionBody=vn;var yn,bn,mn,_n,xn=pn.exports;var wn,kn={exports:{}};var On=function(t){var 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h=Math.cbrt(Math.max(0,o(f)||1))*t.nodeRelSize,d=Math.cbrt(Math.max(0,o(c)||1))*t.nodeRelSize,g=r(i),v=n(i),y=i.__curve?function(t){return i.__curve.getPoint(t)}:function(t){var n=function(t,n,e,r){return n[t]+(e[t]-n[t])*r||0};return{x:n("x",f,c,t),y:n("y",f,c,t),z:n("z",f,c,t)}},b=i.__curve?i.__curve.getLength():Math.sqrt(["x","y","z"].map((function(t){return Math.pow((c[t]||0)-(f[t]||0),2)})).reduce((function(t,n){return t+n}),0)),m=h+g+(b-h-d-g)*v,_=y(m/b),x=y((m-g)/b);["x","y","z"].forEach((function(t){return u.position[t]=x[t]}));var w=function(t,n,r){if(e())return Reflect.construct.apply(null,arguments);var o=[null];o.push.apply(o,n);var i=new(t.bind.apply(t,o));return r&&l(i,r.prototype),i}(Hr.Vector3,p(["x","y","z"].map((function(t){return _[t]}))));u.parent.localToWorld(w),u.lookAt(w)}}})),i=ve(t.linkDirectionalParticleSpeed),t.graphData.links.forEach((function(n){var 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