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