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E=m.upstream,t=m.config||{},p=t.method||"linear",n=g(p,E.cloneRawData(),{order:t.order,dimensions:S.normalizeExistingDimensions(m,t.dimensions)}),s=n.points,u=t.formulaOn;u==null&&(u="end");var a;if(u!=="none"){for(var f=0;f<s.length;f++)s[f][d]=u==="start"&&f===0||u==="all"||u==="end"&&f===s.length-1?n.expression:"";a=E.cloneAllDimensionInfo(),a[d]={}}return[{dimensions:a,data:s}]}}}).call(o,r,o,v),e!==void 0&&(v.exports=e)},function(v,o,r){var e;e=(function(L){var g=r(3),S=r(4),d=r(20);function l(E,t){if(t==null)return;var p=E.upstream;if(g.isArray(t)){for(var n=[],s=0;s<t.length;s++){var u=p.getDimensionInfo(t[s]);a(u,t[s]),n[s]=u.index}return n}else{var u=p.getDimensionInfo(t);return a(u,t),u.index}function a(f,c){if(!f)throw new Error("Can not find dimension by "+c)}}function m(E){if(g.isArray(E)){for(var t=[],p=[],n=0;n<E.length;n++){var s=u(E[n]);t.push(s.name),p.push(s.index)}return{name:t,index:p}}else if(E!=null)return u(E);function u(a){if(S.isNumber(a))return{index:a};if(d.isObject(a)&&S.isNumber(a.index))return a;throw new Error("Illegle new dimensions config. Expect `{ name: string, index: number }`.")}}return{normalizeExistingDimensions:l,normalizeNewDimensions:m}}).call(o,r,o,v),e!==void 0&&(v.exports=e)},function(v,o,r){var e;e=(function(L){function g(d,l){if(Object.assign)Object.assign(d,l);else for(var m in l)l.hasOwnProperty(m)&&(d[m]=l[m]);return d}function S(d){const l=typeof d;return l==="function"||!!d&&l==="object"}return{extend:g,isObject:S}}).call(o,r,o,v),e!==void 0&&(v.exports=e)},function(v,o,r){var e;e=(function(L){var g=r(15),S=r(19);return{type:"ecStat:histogram",transform:function(l){var m=l.upstream,E=l.config||{},t=g(m.cloneRawData(),{method:E.method,dimensions:S.normalizeExistingDimensions(l,E.dimensions)});return[{dimensions:["MeanOfV0V1","VCount","V0","V1","DisplayableName"],data:t.data},{data:t.customData}]}}}).call(o,r,o,v),e!==void 0&&(v.exports=e)},function(v,o,r){var e;e=(function(L){var g=r(1),S=r(4),d=r(19),l=S.isNumber;return{type:"ecStat:clustering",transform:function(E){var t=E.upstream,p=E.config||{},n=p.clusterCount;if(!l(n)||n<=0)throw new Error('config param "clusterCount" need to be specified as an interger greater than 1.');if(n===1)return[{},{data:[]}];var s=d.normalizeNewDimensions(p.outputClusterIndexDimension),u=d.normalizeNewDimensions(p.outputCentroidDimensions);if(s==null)throw new Error("outputClusterIndexDimension is required as a number.");for(var a=g.hierarchicalKMeans(t.cloneRawData(),{clusterCount:n,stepByStep:!1,dimensions:d.normalizeExistingDimensions(E,p.dimensions),outputType:g.OutputType.SINGLE,outputClusterIndexDimension:s.index,outputCentroidDimensions:(u||{}).index}),f=t.cloneAllDimensionInfo(),c=[],i=0;i<f.length;i++){var h=f[i];c.push(h.name)}if(c[s.index]=s.name,u)for(var i=0;i<u.index.length;i++)u.name[i]!=null&&(c[u.index[i]]=u.name[i]);return[{dimensions:c,data:a.data},{data:a.centroids}]}}}).call(o,r,o,v),e!==void 0&&(v.exports=e)}])})})(or);var cr=or.exports,sr=cr;const hr=fr(sr),gr=lr({__proto__:null,default:hr},[sr]);export{gr as i};
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