{"version":3,"sources":["node_modules/@arcgis/core/layers/support/ExpressionInfo.js","node_modules/@arcgis/core/layers/support/AggregateField.js","node_modules/@arcgis/core/views/2d/engine/LevelDependentSizeVariable.js","node_modules/@arcgis/core/views/2d/layers/support/clusterUtils.js"],"sourcesContent":["/*\nAll material copyright ESRI, All Rights Reserved, unless otherwise specified.\nSee https://js.arcgis.com/4.28/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/accessorSupport/ensureType.js\";\nimport \"../../core/arrayUtils.js\";\nimport \"../../core/has.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/4.28/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/accessorSupport/ensureType.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/4.28/esri/copyright.txt for details.\n*/\nimport { _ as e } from \"../../../chunks/tslib.es6.js\";\nimport { clone as s } from \"../../../core/lang.js\";\nimport { property as i } from \"../../../core/accessorSupport/decorators/property.js\";\nimport \"../../../core/accessorSupport/ensureType.js\";\nimport { subclass as t } from \"../../../core/accessorSupport/decorators/subclass.js\";\nimport { writer as r } from \"../../../core/accessorSupport/decorators/writer.js\";\nimport o from \"../../../renderers/visualVariables/SizeVariable.js\";\nimport { isSizeVariable as a } from \"../../../renderers/visualVariables/support/sizeVariableUtils.js\";\nvar l;\nlet n = l = class extends o {\n  writeLevels(e, s, i) {\n    for (const t in e) {\n      const e = this.levels[t];\n      return void (s.stops = e);\n    }\n  }\n  clone() {\n    return new l({\n      axis: this.axis,\n      field: this.field,\n      valueExpression: this.valueExpression,\n      valueExpressionTitle: this.valueExpressionTitle,\n      maxDataValue: this.maxDataValue,\n      maxSize: a(this.maxSize) ? this.maxSize.clone() : this.maxSize,\n      minDataValue: this.minDataValue,\n      minSize: a(this.minSize) ? this.minSize.clone() : this.minSize,\n      normalizationField: this.normalizationField,\n      stops: this.stops?.map(e => e.clone()),\n      target: this.target,\n      useSymbolValue: this.useSymbolValue,\n      valueRepresentation: this.valueRepresentation,\n      valueUnit: this.valueUnit,\n      legendOptions: this.legendOptions?.clone(),\n      levels: s(this.levels)\n    });\n  }\n};\ne([i()], n.prototype, \"levels\", void 0), e([r(\"levels\")], n.prototype, \"writeLevels\", null), n = l = e([t(\"esri.views.2d.engine.LevelDependentSizeVariable\")], n);\nexport { n as LevelDependentSizeVariable };","/*\nAll material copyright ESRI, All Rights Reserved, unless otherwise specified.\nSee https://js.arcgis.com/4.28/esri/copyright.txt for details.\n*/\nimport e from \"../../../../core/Error.js\";\nimport has from \"../../../../core/has.js\";\nimport r from \"../../../../core/Logger.js\";\nimport { createMD5Hash as s } from \"../../../../core/MD5.js\";\nimport i from \"../../../../layers/support/AggregateField.js\";\nimport n from \"../../../../layers/support/ExpressionInfo.js\";\nimport a from \"../../../../renderers/support/AuthoringInfo.js\";\nimport t from \"../../../../renderers/visualVariables/SizeVariable.js\";\nimport l from \"../../../../renderers/visualVariables/support/SizeStop.js\";\nimport { LevelDependentSizeVariable as u } from \"../../engine/LevelDependentSizeVariable.js\";\nconst o = r.getLogger(\"esri.views.2d.layers.support.clusterUtils\");\nhas.add(\"esri-cluster-arcade-enabled\", !0);\nconst p = has(\"esri-cluster-arcade-enabled\"),\n  c = (e, r, s, i, n) => {\n    const t = r.clone();\n    if (!b(t)) return t;\n    if (t.authoringInfo || (t.authoringInfo = new a()), t.authoringInfo.isAutoGenerated = !0, \"visualVariables\" in t) {\n      const r = (t.visualVariables || []).filter(e => \"$view.scale\" !== e.valueExpression),\n        a = d(r);\n      r.forEach(r => {\n        \"rotation\" === r.type ? r.field ? r.field = E(e, r.field, \"avg_angle\", \"number\") : r.valueExpression && (r.field = x(e, r.valueExpression, \"avg_angle\", \"number\"), r.valueExpression = null) : r.normalizationField ? 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(t.field = E(e, t.field, \"avg_norm\", \"number\", t.normalizationField), t.normalizationField = null) : t.field ? t.field = E(e, t.field, \"avg\", \"number\") : t.valueExpression && (t.field = x(e, t.valueExpression, \"avg\", \"number\"), t.valueExpression = null);\n    }\n    return t;\n  },\n  d = e => {\n    for (const r of e) if (\"size\" === r.type) return r;\n    return null;\n  };\nfunction f(e, r, s) {\n  const i = e.clone();\n  let n = !1;\n  if (\"visualVariables\" in i) {\n    const e = (i.visualVariables || []).filter(e => \"$view.scale\" !== e.valueExpression);\n    null == d(e) && (i.visualVariables || (i.visualVariables = []), i.visualVariables.push(v(r, s)), i.dynamicClusterSize = !0, n = !0);\n  }\n  return {\n    renderer: i,\n    didInject: n\n  };\n}\nconst m = e => {\n    for (const r of e) if (\"cluster_count\" === r.field) return !0;\n    return !1;\n  },\n  v = (e, r) => {\n    const s = [new l({\n      value: 0,\n      size: 0\n    }), new l({\n      value: 1\n    })];\n    if (null == r) return new t({\n      field: \"cluster_count\",\n      stops: [...s, new l({\n        value: 2,\n        size: 0\n      })]\n    });\n    const i = Object.keys(r).reduce((i, n) => ({\n      ...i,\n      [n]: [...s, new l({\n        value: Math.max(2, r[n].minValue),\n        size: e.clusterMinSize\n      }), new l({\n        value: Math.max(3, r[n].maxValue),\n        size: e.clusterMaxSize\n      })]\n    }), {});\n    return new u({\n      field: \"cluster_count\",\n      levels: i\n    });\n  },\n  b = r => {\n    const s = s => o.error(new e(\"Unsupported-renderer\", s, {\n      renderer: r\n    }));\n    if (!r) return !1;\n    switch (r.type) {\n      case \"unique-value\":\n        if (r.field2 || r.field3) return s(\"FeatureReductionCluster does not support multi-field UniqueValueRenderers\"), !1;\n        break;\n      case \"class-breaks\":\n        if (r.normalizationField) {\n          const e = r.normalizationType;\n          if (\"field\" !== e) return s(`FeatureReductionCluster does not support a normalizationType of ${e}`), !1;\n        }\n        break;\n      case \"simple\":\n      case \"pie-chart\":\n        break;\n      default:\n        return s(`FeatureReductionCluster does not support renderers of type ${r.type}`), !1;\n    }\n    if (!p) {\n      if (\"valueExpression\" in r && r.valueExpression) return s(\"FeatureReductionCluster does not currently support renderer.valueExpression. Support will be added in a future release\"), !1;\n      if ((\"visualVariables\" in r && r.visualVariables || []).some(e => !(!(\"valueExpression\" in e) || !e.valueExpression))) return s(\"FeatureReductionCluster does not currently support visualVariables with a valueExpression. Support will be added in a future release\"), !1;\n    }\n    return !0;\n  };\nfunction g(e, r, i) {\n  switch (e) {\n    case \"sum\":\n      return `cluster_sum_${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 = i,\n          n = \"field\",\n          a = r.toLowerCase() + \",norm:\" + n + \",\" + e.toLowerCase();\n        return \"cluster_avg_\" + s(a);\n      }\n  }\n}\nfunction x(e, r, a, t) {\n  const l = s(r),\n    u = \"mode\" === a ? `cluster_type_${l}` : \"sum\" === a ? `cluster_sum_${l}` : `cluster_avg_${l}`;\n  return e.some(e => e.name === u) || e.push(new i({\n    name: u,\n    isAutoGenerated: !0,\n    onStatisticExpression: new n({\n      expression: r,\n      returnType: t\n    }),\n    statisticType: a\n  })), u;\n}\nfunction E(e, r, s, a, t) {\n  if (\"cluster_count\" === r || e.some(e => e.name === r)) return r;\n  const l = 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