{"version":3,"sources":["node_modules/@arcgis/core/layers/support/ExpressionInfo.js","node_modules/@arcgis/core/layers/support/AggregateField.js","node_modules/@arcgis/core/layers/support/FeatureReductionBinning.js","node_modules/@arcgis/core/layers/support/FeatureReductionCluster.js","node_modules/@arcgis/core/layers/support/featureReductionUtils.js","node_modules/@arcgis/core/views/2d/layers/support/clusterUtils.js","node_modules/@arcgis/core/layers/mixins/FeatureReductionLayer.js"],"sourcesContent":["/*\nAll material copyright ESRI, All Rights Reserved, unless otherwise specified.\nSee https://js.arcgis.com/4.31/esri/copyright.txt for details.\n*/\nimport { _ as r } from \"../../chunks/tslib.es6.js\";\nimport { ClonableMixin as o } from \"../../core/Clonable.js\";\nimport { JSONSupport as t } from \"../../core/JSONSupport.js\";\nimport { property as s } from \"../../core/accessorSupport/decorators/property.js\";\nimport \"../../core/has.js\";\nimport \"../../core/Logger.js\";\nimport \"../../core/RandomLCG.js\";\nimport { subclass as e } from \"../../core/accessorSupport/decorators/subclass.js\";\nlet p = class extends o(t) {\n  constructor(r) {\n    super(r), this.expression = null, this.title = null, this.returnType = null;\n  }\n};\nr([s({\n  type: String,\n  json: {\n    write: !0\n  }\n})], p.prototype, \"expression\", void 0), r([s({\n  type: String,\n  json: {\n    write: !0\n  }\n})], p.prototype, \"title\", void 0), r([s({\n  type: String,\n  json: {\n    write: !0\n  }\n})], p.prototype, \"returnType\", void 0), p = r([e(\"esri.layers.support.ExpressionInfo\")], p);\nconst i = p;\nexport { i as default };","/*\nAll material copyright ESRI, All Rights Reserved, unless otherwise specified.\nSee https://js.arcgis.com/4.31/esri/copyright.txt for details.\n*/\nimport { _ as t } from \"../../chunks/tslib.es6.js\";\nimport { JSONSupport as s } from \"../../core/JSONSupport.js\";\nimport { clone as o } from \"../../core/lang.js\";\nimport { property as i } from \"../../core/accessorSupport/decorators/property.js\";\nimport \"../../core/has.js\";\nimport \"../../core/Logger.js\";\nimport { subclass as e } from \"../../core/accessorSupport/decorators/subclass.js\";\nimport r from \"./ExpressionInfo.js\";\nvar p;\nlet n = p = class extends s {\n  constructor(t) {\n    super(t), this.isAutoGenerated = !1, this.name = null, this.alias = null, this.onStatisticField = null, this.onStatisticExpression = null, this.statisticType = null;\n  }\n  clone() {\n    return new p({\n      name: this.name,\n      alias: this.alias,\n      isAutoGenerated: this.isAutoGenerated,\n      onStatisticExpression: o(this.onStatisticExpression),\n      onStatisticField: this.onStatisticField,\n      statisticType: this.statisticType\n    });\n  }\n};\nt([i({\n  type: Boolean,\n  json: {\n    write: !0\n  }\n})], n.prototype, \"isAutoGenerated\", void 0), t([i({\n  type: String,\n  json: {\n    write: !0\n  }\n})], n.prototype, \"name\", void 0), t([i({\n  type: String,\n  json: {\n    write: !0\n  }\n})], n.prototype, \"alias\", void 0), t([i({\n  type: String,\n  json: {\n    write: !0\n  }\n})], n.prototype, \"onStatisticField\", void 0), t([i({\n  type: r,\n  json: {\n    write: !0\n  }\n})], n.prototype, \"onStatisticExpression\", void 0), t([i({\n  type: String,\n  json: {\n    write: !0\n  }\n})], n.prototype, \"statisticType\", void 0), n = p = t([e(\"esri.layers.support.AggregateField\")], n);\nconst a = n;\nexport { a as default };","/*\nAll material copyright ESRI, All Rights Reserved, unless otherwise specified.\nSee https://js.arcgis.com/4.31/esri/copyright.txt for details.\n*/\nimport { _ as e } from \"../../chunks/tslib.es6.js\";\nimport r from \"../../PopupTemplate.js\";\nimport \"../../renderers/ClassBreaksRenderer.js\";\nimport \"../../renderers/DictionaryRenderer.js\";\nimport \"../../renderers/DotDensityRenderer.js\";\nimport \"../../renderers/HeatmapRenderer.js\";\nimport \"../../renderers/PieChartRenderer.js\";\nimport \"../../renderers/Renderer.js\";\nimport \"../../renderers/SimpleRenderer.js\";\nimport \"../../renderers/UniqueValueRenderer.js\";\nimport { read as o } from \"../../renderers/support/jsonUtils.js\";\nimport { rendererTypes as t } from \"../../renderers/support/types.js\";\nimport { clone as s } from \"../../core/lang.js\";\nimport { setDeepValue as i } from \"../../core/object.js\";\nimport { toPt as p } from \"../../core/screenUtils.js\";\nimport { property as n } from \"../../core/accessorSupport/decorators/property.js\";\nimport { ensureNumber as a } from \"../../core/accessorSupport/ensureType.js\";\nimport { enumeration as l } from \"../../core/accessorSupport/decorators/enumeration.js\";\nimport { reader as d } from \"../../core/accessorSupport/decorators/reader.js\";\nimport { subclass as m } from \"../../core/accessorSupport/decorators/subclass.js\";\nimport { writer as c } from \"../../core/accessorSupport/decorators/writer.js\";\nimport u from \"./AggregateField.js\";\nimport { labelsVisible as f, popupEnabled as y } from \"./commonProperties.js\";\nimport { createDefaultRenderer as j } from \"./featureLayerUtils.js\";\nimport { FeatureReduction as b } from \"./FeatureReduction.js\";\nimport h from \"./LabelClass.js\";\nvar g;\nlet v = g = class extends b {\n  constructor(e) {\n    super(e), this.type = \"binning\", this.binType = \"geohash\", this.fixedBinLevel = null, this.labelingInfo = null, this.labelsVisible = !0, this.maxScale = 0, this.popupEnabled = !0, this.popupTemplate = null, this.size = p(\"12px\"), this.fields = [], this.renderer = null;\n  }\n  writeFields(e, r, o) {\n    const t = e.filter(e => \"avg_angle\" !== e.statisticType).map(e => e.toJSON());\n    i(o, t, r);\n  }\n  readRenderer(e, r, t) {\n    const s = r.drawingInfo?.renderer;\n    return s ? o(s, r, t) ?? void 0 : j(r, t);\n  }\n  clone() {\n    return new g({\n      fields: s(this.fields),\n      fixedBinLevel: this.fixedBinLevel,\n      labelingInfo: s(this.labelingInfo),\n      labelsVisible: this.labelsVisible,\n      maxScale: this.maxScale,\n      popupEnabled: this.popupEnabled,\n      popupTemplate: s(this.popupTemplate),\n      renderer: s(this.renderer),\n      binType: s(this.binType),\n      size: this.size\n    });\n  }\n};\ne([l({\n  binning: \"binning\"\n})], v.prototype, \"type\", void 0), e([l({\n  geohash: \"geohash\",\n  square: \"square\"\n}), n({\n  type: [\"geohash\", \"square\"]\n})], v.prototype, \"binType\", void 0), e([n({\n  type: Number,\n  json: {\n    write: !0\n  }\n})], v.prototype, \"fixedBinLevel\", void 0), e([n({\n  type: [h],\n  json: {\n    read: {\n      source: \"drawingInfo.labelingInfo\"\n    },\n    write: {\n      target: \"drawingInfo.labelingInfo\"\n    }\n  }\n})], v.prototype, \"labelingInfo\", void 0), e([n(f)], v.prototype, \"labelsVisible\", void 0), e([n({\n  type: Number,\n  json: {\n    default: 0,\n    name: \"visibilityInfo.maxScale\"\n  }\n})], v.prototype, \"maxScale\", void 0), e([n(y)], v.prototype, \"popupEnabled\", void 0), e([n({\n  type: r,\n  json: {\n    name: \"popupInfo\",\n    write: !0\n  }\n})], v.prototype, \"popupTemplate\", void 0), e([n({\n  cast: e => \"auto\" === e ? e : a(p(e))\n})], v.prototype, \"size\", void 0), e([n({\n  type: [u],\n  json: {\n    write: !0\n  }\n})], v.prototype, \"fields\", void 0), e([c(\"fields\")], v.prototype, \"writeFields\", null), e([n({\n  types: t,\n  json: {\n    write: {\n      target: \"drawingInfo.renderer\"\n    }\n  }\n})], v.prototype, \"renderer\", void 0), e([d(\"renderer\", [\"drawingInfo.renderer\"])], v.prototype, \"readRenderer\", null), v = g = e([m(\"esri.layers.support.FeatureReductionBinning\")], v);\nconst w = v;\nexport { w as default };","/*\nAll material copyright ESRI, All Rights Reserved, unless otherwise specified.\nSee https://js.arcgis.com/4.31/esri/copyright.txt for details.\n*/\nimport { _ as e } from \"../../chunks/tslib.es6.js\";\nimport r from \"../../PopupTemplate.js\";\nimport \"../../renderers/ClassBreaksRenderer.js\";\nimport \"../../renderers/DictionaryRenderer.js\";\nimport \"../../renderers/DotDensityRenderer.js\";\nimport \"../../renderers/HeatmapRenderer.js\";\nimport \"../../renderers/PieChartRenderer.js\";\nimport \"../../renderers/Renderer.js\";\nimport t from \"../../renderers/SimpleRenderer.js\";\nimport \"../../renderers/UniqueValueRenderer.js\";\nimport { read as o } from \"../../renderers/support/jsonUtils.js\";\nimport { rendererTypes as s } from \"../../renderers/support/types.js\";\nimport { symbolTypesCluster as i } from \"../../symbols.js\";\nimport { JSONSupport as p } from \"../../core/JSONSupport.js\";\nimport { clone as n } from \"../../core/lang.js\";\nimport { setDeepValue as l } from \"../../core/object.js\";\nimport { toPt as a } from \"../../core/screenUtils.js\";\nimport { property as d } from \"../../core/accessorSupport/decorators/property.js\";\nimport { ensureNumber as u } from \"../../core/accessorSupport/ensureType.js\";\nimport { reader as m } from \"../../core/accessorSupport/decorators/reader.js\";\nimport { subclass as c } from \"../../core/accessorSupport/decorators/subclass.js\";\nimport { writer as f } from \"../../core/accessorSupport/decorators/writer.js\";\nimport y from \"./AggregateField.js\";\nimport { popupEnabled as b, labelsVisible as j } from \"./commonProperties.js\";\nimport { createDefaultRenderer as h } from \"./featureLayerUtils.js\";\nimport g from \"./LabelClass.js\";\nvar S;\nfunction w(e) {\n  return \"simple\" === e.type && !e.visualVariables?.length;\n}\nlet I = S = class extends p {\n  constructor(e) {\n    super(e), this.type = \"cluster\", this.clusterRadius = a(\"80px\"), this.clusterMinSize = a(\"12px\"), this.clusterMaxSize = a(\"50px\"), this.maxScale = 0, this.popupEnabled = !0, this.popupTemplate = null, this.renderer = null, this.symbol = null, this.labelingInfo = null, this.labelsVisible = !0, this.fields = [];\n  }\n  readRenderer(e, r, t) {\n    const s = r.drawingInfo?.renderer;\n    return s?.authoringInfo?.isAutoGenerated ? null : s ? w(s) ? null : o(s, r, t) ?? void 0 : h(r, t);\n  }\n  readSymbol(e, r, t) {\n    const s = r.drawingInfo?.renderer;\n    if (s?.authoringInfo?.isAutoGenerated) return null;\n    if (s && w(s)) {\n      const e = o(s, r, t);\n      return e?.symbol;\n    }\n    return null;\n  }\n  writeSymbol(e, r, o, s) {\n    const i = this.renderer?.authoringInfo?.isAutoGenerated;\n    if (!this.renderer || i) {\n      const o = new t({\n        symbol: e\n      });\n      r.drawingInfo = {\n        renderer: o.write({}, s)\n      };\n    }\n  }\n  writeFields(e, r, t) {\n    const o = e.filter(e => \"avg_angle\" !== e.statisticType).map(e => e.toJSON());\n    l(t, o, r);\n  }\n  readFields(e, r, t) {\n    return e.filter(e => !e.isAutoGenerated).map(e => y.fromJSON(e));\n  }\n  clone() {\n    return new S({\n      clusterRadius: this.clusterRadius,\n      clusterMinSize: this.clusterMinSize,\n      clusterMaxSize: this.clusterMaxSize,\n      labelingInfo: n(this.labelingInfo),\n      labelsVisible: this.labelsVisible,\n      fields: n(this.fields),\n      maxScale: this.maxScale,\n      renderer: n(this.renderer),\n      symbol: n(this.symbol),\n      popupEnabled: this.popupEnabled,\n      popupTemplate: n(this.popupTemplate)\n    });\n  }\n};\ne([d({\n  type: [\"cluster\"],\n  readOnly: !0,\n  json: {\n    write: !0\n  }\n})], I.prototype, \"type\", void 0), e([d({\n  cast: e => \"auto\" === e ? e : u(a(e)),\n  json: {\n    write: !0\n  }\n})], I.prototype, \"clusterRadius\", void 0), e([d({\n  type: Number,\n  cast: a,\n  json: {\n    write: !0\n  }\n})], I.prototype, \"clusterMinSize\", void 0), e([d({\n  type: Number,\n  cast: a,\n  json: {\n    write: !0\n  }\n})], I.prototype, \"clusterMaxSize\", void 0), e([d({\n  type: Number,\n  json: {\n    default: 0,\n    name: \"visibilityInfo.maxScale\"\n  }\n})], I.prototype, \"maxScale\", void 0), e([d(b)], I.prototype, \"popupEnabled\", void 0), e([d({\n  type: r,\n  json: {\n    read: {\n      source: \"popupInfo\"\n    },\n    write: {\n      target: \"popupInfo\"\n    }\n  }\n})], I.prototype, \"popupTemplate\", void 0), e([d({\n  types: s,\n  json: {\n    write: {\n      target: \"drawingInfo.renderer\"\n    }\n  }\n})], I.prototype, \"renderer\", void 0), e([m(\"renderer\", [\"drawingInfo.renderer\"])], I.prototype, \"readRenderer\", null), e([d({\n  types: i\n})], I.prototype, \"symbol\", void 0), e([m(\"symbol\", [\"drawingInfo.renderer\"])], I.prototype, \"readSymbol\", null), e([f(\"symbol\")], I.prototype, \"writeSymbol\", null), e([d({\n  type: [g],\n  json: {\n    read: {\n      source: \"drawingInfo.labelingInfo\"\n    },\n    write: {\n      target: \"drawingInfo.labelingInfo\"\n    }\n  }\n})], I.prototype, \"labelingInfo\", void 0), e([d(j)], I.prototype, \"labelsVisible\", void 0), e([d({\n  type: [y],\n  json: {\n    write: !0\n  }\n})], I.prototype, \"fields\", void 0), e([f(\"fields\")], I.prototype, \"writeFields\", null), e([m(\"fields\")], I.prototype, \"readFields\", null), I = S = e([c(\"esri.layers.support.FeatureReductionCluster\")], I);\nconst v = I;\nexport { v as default };","/*\nAll material copyright ESRI, All Rights Reserved, unless otherwise specified.\nSee https://js.arcgis.com/4.31/esri/copyright.txt for details.\n*/\nimport { excludeTables as e } from \"../../core/accessorSupport/layerContainerType.js\";\nimport { FeatureReduction as t } from \"./FeatureReduction.js\";\nimport i from \"./FeatureReductionBinning.js\";\nimport r from \"./FeatureReductionCluster.js\";\nimport n from \"./FeatureReductionSelection.js\";\nconst o = {\n    key: \"type\",\n    base: t,\n    typeMap: {\n      cluster: r,\n      binning: i\n    }\n  },\n  p = {\n    types: {\n      key: \"type\",\n      base: t,\n      typeMap: {\n        selection: n,\n        cluster: r,\n        binning: i\n      }\n    },\n    json: {\n      name: \"layerDefinition.featureReduction\",\n      write: {\n        allowNull: !0\n      },\n      origins: {\n        \"web-map\": {\n          types: o\n        },\n        \"portal-item\": {\n          types: o\n        },\n        \"web-scene\": {\n          types: {\n            key: \"type\",\n            base: t,\n            typeMap: {\n              selection: n\n            }\n          },\n          name: \"layerDefinition.featureReduction\",\n          write: {\n            layerContainerTypes: e\n          }\n        }\n      }\n    }\n  };\nexport { p as featureReductionProperty };","/*\nAll material copyright ESRI, All Rights Reserved, unless otherwise specified.\nSee https://js.arcgis.com/4.31/esri/copyright.txt for details.\n*/\nimport \"../../../../renderers/ClassBreaksRenderer.js\";\nimport \"../../../../renderers/DictionaryRenderer.js\";\nimport \"../../../../renderers/DotDensityRenderer.js\";\nimport \"../../../../renderers/HeatmapRenderer.js\";\nimport \"../../../../renderers/PieChartRenderer.js\";\nimport \"../../../../renderers/Renderer.js\";\nimport e from \"../../../../renderers/SimpleRenderer.js\";\nimport \"../../../../renderers/UniqueValueRenderer.js\";\nimport \"../../../../renderers/support/jsonUtils.js\";\nimport r from \"../../../../core/Logger.js\";\nimport \"../../../../symbols.js\";\nimport s from \"../../../../core/Error.js\";\nimport has from \"../../../../core/has.js\";\nimport { createMD5Hash as i } from \"../../../../core/MD5.js\";\nimport n from \"../../../../layers/support/AggregateField.js\";\nimport t from \"../../../../layers/support/ExpressionInfo.js\";\nimport o from \"../../../../renderers/support/AuthoringInfo.js\";\nimport a from \"../../../../symbols/SimpleMarkerSymbol.js\";\nconst l = () => r.getLogger(\"esri.views.2d.layers.support.clusterUtils\");\nhas.add(\"esri-cluster-arcade-enabled\", !0);\nconst u = has(\"esri-cluster-arcade-enabled\"),\n  p = new Set([\"simple-line\", \"simple-fill\", \"picture-fill\"]);\nfunction d(r, s) {\n  let i = s.clone();\n  if (!f(i)) return i;\n  if (s.getSymbols().some(e => p.has(e.type)) && (i = new e({\n    symbol: new a()\n  })), i.authoringInfo || (i.authoringInfo = new o()), i.authoringInfo.isAutoGenerated = !0, \"visualVariables\" in i) {\n    const e = (i.visualVariables || []).filter(e => \"$view.scale\" !== e.valueExpression);\n    e.forEach(e => {\n      \"rotation\" === e.type ? e.field ? e.field = g(r, e.field, \"avg_angle\", \"number\") : e.valueExpression && (e.field = b(r, e.valueExpression, \"avg_angle\", \"number\"), e.valueExpression = null) : e.normalizationField ? (e.field = g(r, e.field, \"avg_norm\", \"number\", e.normalizationField), e.normalizationField = null) : e.field ? e.field = g(r, e.field, \"avg\", \"number\") : e.valueExpression && (e.field = b(r, e.valueExpression, \"avg\", \"number\"), e.valueExpression = null);\n    }), i.visualVariables = e;\n  }\n  switch (i.type) {\n    case \"simple\":\n      break;\n    case \"pie-chart\":\n      for (const e of i.attributes) e.field ? e.field = g(r, e.field, \"sum\", \"number\") : e.valueExpression && (e.field = b(r, e.valueExpression, \"sum\", \"number\"), e.valueExpression = null);\n      break;\n    case \"unique-value\":\n      i.field ? i.field = g(r, i.field, \"mode\", \"string\") : i.valueExpression && (i.field = b(r, i.valueExpression, \"mode\", \"string\"), i.valueExpression = null);\n      break;\n    case \"class-breaks\":\n      i.normalizationField ? (i.field = g(r, i.field, \"avg_norm\", \"number\", i.normalizationField), i.normalizationField = null) : i.field ? i.field = g(r, i.field, \"avg\", \"number\") : i.valueExpression && (i.field = b(r, i.valueExpression, \"avg\", \"number\"), i.valueExpression = null);\n  }\n  return i;\n}\nconst m = e => e?.find(({\n    type: e\n  }) => \"size\" === e) ?? null,\n  c = e => !!e?.some(({\n    field: e\n  }) => \"cluster_count\" === e),\n  f = e => {\n    const r = r => l().error(new s(\"Unsupported-renderer\", r, {\n      renderer: e\n    }));\n    if (!e) return !1;\n    switch (e.type) {\n      case \"unique-value\":\n        if (e.field2 || e.field3) return r(\"FeatureReductionCluster does not support multi-field UniqueValueRenderers\"), !1;\n        break;\n      case \"class-breaks\":\n        if (e.normalizationField) {\n          const s = e.normalizationType;\n          if (\"field\" !== s) return r(`FeatureReductionCluster does not support a normalizationType of ${s}`), !1;\n        }\n        break;\n      case \"simple\":\n      case \"pie-chart\":\n        break;\n      default:\n        return r(`FeatureReductionCluster does not support renderers of type ${e.type}`), !1;\n    }\n    if (!u) {\n      if (\"valueExpression\" in e && e.valueExpression) return r(\"FeatureReductionCluster does not currently support renderer.valueExpression. Support will be added in a future release\"), !1;\n      if ((\"visualVariables\" in e && e.visualVariables || []).some(e => !(!(\"valueExpression\" in e) || !e.valueExpression))) return r(\"FeatureReductionCluster does not currently support visualVariables with a valueExpression. Support will be added in a future release\"), !1;\n    }\n    return !0;\n  };\nfunction v(e, r, s) {\n  switch (e) {\n    case \"sum\":\n      return `cluster_sum_${r}`;\n    case \"avg\":\n    case \"avg_angle\":\n      return `cluster_avg_${r}`;\n    case \"mode\":\n      return `cluster_type_${r}`;\n    case \"avg_norm\":\n      {\n        const e = s,\n          n = \"field\",\n          t = r.toLowerCase() + \",norm:\" + n + \",\" + e.toLowerCase();\n        return \"cluster_avg_\" + i(t);\n      }\n  }\n}\nfunction b(e, r, s, o) {\n  const a = i(r),\n    l = \"mode\" === s ? `cluster_type_${a}` : \"sum\" === s ? `cluster_sum_${a}` : `cluster_avg_${a}`;\n  return e.some(e => e.name === l) || e.push(new n({\n    name: l,\n    isAutoGenerated: !0,\n    onStatisticExpression: new t({\n      expression: r,\n      returnType: o\n    }),\n    statisticType: s\n  })), l;\n}\nfunction g(e, r, s, i, o) {\n  if (\"cluster_count\" === r || e.some(e => e.name === r)) return r;\n  const a = v(s, r, o);\n  return e.some(e => e.name === a) || (\"avg_norm\" === s ? e.push(new n({\n    name: a,\n    isAutoGenerated: !0,\n    onStatisticExpression: new t({\n      expression: `$feature.${r} / $feature.${o}`,\n      returnType: i\n    }),\n    statisticType: \"avg\"\n  })) : e.push(new n({\n    name: a,\n    isAutoGenerated: !0,\n    onStatisticField: r,\n    statisticType: s\n  }))), a;\n}\nexport { d as createInferredClusterRenderer, m as findSizeVV, c as hasClusterCountVV, f as isClusterCompatibleRenderer };","/*\nAll material copyright ESRI, All Rights Reserved, unless otherwise specified.\nSee https://js.arcgis.com/4.31/esri/copyright.txt for details.\n*/\nimport { _ as e } from \"../../chunks/tslib.es6.js\";\nimport \"../../renderers/ClassBreaksRenderer.js\";\nimport \"../../renderers/DictionaryRenderer.js\";\nimport \"../../renderers/DotDensityRenderer.js\";\nimport \"../../renderers/HeatmapRenderer.js\";\nimport \"../../renderers/PieChartRenderer.js\";\nimport \"../../renderers/Renderer.js\";\nimport r from \"../../renderers/SimpleRenderer.js\";\nimport \"../../renderers/UniqueValueRenderer.js\";\nimport \"../../renderers/support/jsonUtils.js\";\nimport \"../../core/Logger.js\";\nimport { watch as s, sync as t } from \"../../core/reactiveUtils.js\";\nimport { property as i } from \"../../core/accessorSupport/decorators/property.js\";\nimport \"../../core/has.js\";\nimport \"../../core/RandomLCG.js\";\nimport { subclass as n } from \"../../core/accessorSupport/decorators/subclass.js\";\nimport o from \"../support/AggregateField.js\";\nimport { featureReductionProperty as a } from \"../support/featureReductionUtils.js\";\nimport u from \"../../renderers/visualVariables/SizeVariable.js\";\nimport l from \"../../renderers/visualVariables/support/SizeStop.js\";\nimport { createInferredClusterRenderer as d } from \"../../views/2d/layers/support/clusterUtils.js\";\nconst c = c => {\n  let p = class extends c {\n    constructor(...e) {\n      super(...e), this.addHandles(s(() => this.renderer, () => {\n        if (this.featureReduction) {\n          const e = this._normalizeFeatureReduction(this.featureReduction);\n          this._set(\"featureReduction\", e);\n        }\n      }, t));\n    }\n    set featureReduction(e) {\n      const r = this._normalizeFeatureReduction(e);\n      this._set(\"featureReduction\", r);\n    }\n    set renderer(e) {}\n    _withClusterVariable(e, r, s) {\n      const t = e.clone();\n      if (\"visualVariables\" in t) {\n        t.visualVariables || (t.visualVariables = []);\n        t.visualVariables.some(e => \"size\" === e.type) || t.visualVariables.push(new u({\n          field: \"cluster_count\",\n          stops: [new l({\n            value: 1\n          }), new l({\n            useMinValue: !0,\n            size: r\n          }), new l({\n            useMaxValue: !0,\n            size: s\n          })]\n        }));\n      }\n      return t;\n    }\n    _normalizeFeatureReduction(e) {\n      if (\"cluster\" !== e?.type) return e;\n      const s = e.clone(),\n        t = [new o({\n          name: \"cluster_count\",\n          alias: \"cluster_count\",\n          isAutoGenerated: !0,\n          statisticType: \"count\"\n        })],\n        i = (s.fields ?? []).filter(e => !e.isAutoGenerated),\n        n = e.renderer && !e.renderer.authoringInfo?.isAutoGenerated,\n        {\n          clusterMinSize: a,\n          clusterMaxSize: u\n        } = s;\n      if (n) {\n        s.fields = [...t, ...i];\n        const e = this._withClusterVariable(s.renderer, a, u);\n        return s.effectiveFeatureRenderer = e, s.effectiveClusterRenderer = e, s;\n      }\n      if (e.symbol) {\n        if (s.fields = [...t, ...i], s.renderer = null, !this.renderer) return s.effectiveFeatureRenderer = null, s.effectiveClusterRenderer = null, s;\n        const n = d(t, this.renderer),\n          o = this._withClusterVariable(n, a, u),\n          l = \"visualVariables\" in o && o.visualVariables ? o.visualVariables : [],\n          c = new r({\n            symbol: e.symbol,\n            visualVariables: l\n          });\n        return s.fields = [...t, ...i], s.effectiveFeatureRenderer = o, s.effectiveClusterRenderer = c, s;\n      }\n      if (!this.renderer) return e;\n      const l = d(t, this.renderer);\n      s.fields = [...t, ...i], s.renderer = l;\n      const c = this._withClusterVariable(l, a, u);\n      return s.effectiveFeatureRenderer = c, s.effectiveClusterRenderer = c, s;\n    }\n  };\n  return e([i(a)], p.prototype, \"featureReduction\", null), p = e([n(\"esri.layers.mixins.FeatureReductionLayer\")], p), p;\n};\nexport { c as FeatureReductionLayer 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