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flex-direction: column;\n  justify-content: center;\n}\n</style>\n","import mod from \"-!../node_modules/thread-loader/dist/cjs.js!../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./App.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../node_modules/thread-loader/dist/cjs.js!../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./App.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./App.vue?vue&type=template&id=62cdd86e&\"\nimport script from \"./App.vue?vue&type=script&lang=js&\"\nexport * from \"./App.vue?vue&type=script&lang=js&\"\nimport style0 from \"./App.vue?vue&type=style&index=0&lang=scss&\"\n\n\n/* normalize component */\nimport normalizer from \"!../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  \n)\n\nexport default component.exports","import Vue from 'vue'\nimport VueRouter from 'vue-router'\n\nVue.use(VueRouter)\n\nconst router = new VueRouter({\n  mode: 'hash',\n  base: process.env.BASE_URL,\n  routes: [{ path: '/', redirect: '/topic' }]\n})\n\nexport default router\n","const SAVE_METADATA = 'saveMetadata'\n\nexport function commitMetadata (commit, metadata) {\n  commit(SAVE_METADATA, metadata)\n}\n\nfunction saveMetadata (state, metadata) {\n  const modules = {}\n\n  for (const key in metadata) {\n    const m = metadata[key].group\n\n    if (m != null) {\n      if (modules[m] == null) {\n        modules[m] = { key: m, members: [] }\n      }\n\n      modules[m].members.push(key)\n    }\n  }\n\n  state.modules = modules\n  state.metadata = metadata\n}\n\nconst mutators = {\n  [SAVE_METADATA]: saveMetadata\n}\n\nexport default mutators\n","import Vue from 'vue'\nimport Vuex from 'vuex'\nimport { Hs } from '@rtidatascience/harness'\n\nimport SelectedParameterMutations from './mutations/selectedParameters'\n\nVue.use(Vuex)\n\nexport default new Vuex.Store({\n  state: {\n    selectedYear: 2022,\n    isLoadingYear: false,\n    metadata: {},\n    modules: {},\n    buildingFilter: {},\n    selectedRowParameters: null,\n    selectedColumnParameters: null,\n    selectedFilter: null\n  },\n  getters: {\n    getQuestion: (state) => (id) => state.metadata[id],\n    buildingFilter: (state) => state.buildingFilter,\n    year: (state) => state.selectedYear,\n    rowId: (state) => state.selectedRowParameters && state.selectedRowParameters.id,\n    rowQuestion: (state) => state.selectedRowParameters != null ? state.metadata[state.selectedRowParameters.id] : null,\n    filteredRowQuestion: (state) => {\n      if (state.selectedRowParameters == null) {\n        return null\n      }\n\n      const question = state.metadata[state.selectedRowParameters.id]\n      return filterQuestionBySelection(question, state.selectedRowParameters)\n    },\n    columnId: (state) => state.selectedColumnParameters && state.selectedColumnParameters.id,\n    columnQuestion: (state) => state.selectedColumnParameters != null ? state.metadata[state.selectedColumnParameters.id] : null,\n    filteredColumnQuestion: (state) => {\n      if (state.selectedColumnParameters == null) {\n        return null\n      }\n\n      const question = state.metadata[state.selectedColumnParameters.id]\n      return filterQuestionBySelection(question, state.selectedColumnParameters)\n    },\n    filterId: (state) => state.selectedFilter && state.selectedFilter.id,\n    filterQuestion: (state) => state.selectedFilter != null ? state.metadata[state.selectedFilter.id] : null,\n    filterByQuestion: (state) => {\n      if (state.selectedFilter == null) {\n        return null\n      }\n\n      const question = state.metadata[state.selectedFilter.id]\n      return filterQuestionBySelection(question, state.selectedFilter)\n    }\n  },\n  mutations: {\n    ...SelectedParameterMutations,\n    buildFilter (state, payload) {\n      if (payload == null) {\n        state.buildingFilter = null\n      } else {\n        const hs = new Hs('topic', this)\n        state.buildingFilter = {\n          id: hs.getFilter('accordion'),\n          values: payload\n        }\n      }\n    },\n    setYear (state, year) {\n      state.selectedYear = year\n    },\n    setIsLoadingYear (state, isLoading) {\n      state.isLoadingYear = isLoading\n    },\n    setRowQuestion (state) {\n      state.selectedRowParameters = state.buildingFilter\n    },\n    clearRowQuestion (state) {\n      state.selectedRowParameters = null\n    },\n    setColumnQuestion (state) {\n      state.selectedColumnParameters = state.buildingFilter\n    },\n    clearColumnQuestion (state) {\n      state.selectedColumnParameters = null\n    },\n    setFilterQuestion (state, filter) {\n      if (filter.id == null) {\n        state.selectedFilter = null\n      } else {\n        state.selectedFilter = filter\n      }\n    },\n    clearFilterQuestion (state) {\n      state.selectedFilter = null\n    },\n    swapSelectedQuestions (state) {\n      if (state.selectedRowParameters != null && state.selectedColumnParameters != null) {\n        const temp = state.selectedRowParameters\n        state.selectedRowParameters = state.selectedColumnParameters\n        state.selectedColumnParameters = temp\n      }\n    }\n  }\n})\n\nfunction filterQuestionBySelection (question, selection) {\n  const copy = { ...question, id: selection.id }\n  copy.levels = copy.levels.filter(l => selection.values.find(v => v === l.value) != null)\n\n  return copy\n}\n","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{staticClass:\"container\"},[_c('div',{staticClass:\"year-banner\"},[_c('p',[_c('label',{attrs:{\"for\":\"year-select\"}},[_vm._v(\"Data Year:\")]),_c('select',{directives:[{name:\"model\",rawName:\"v-model\",value:(_vm.dataYear),expression:\"dataYear\"}],staticClass:\"hcps-year-select\",attrs:{\"id\":\"year-select\"},on:{\"change\":function($event){var $$selectedVal = Array.prototype.filter.call($event.target.options,function(o){return o.selected}).map(function(o){var val = \"_value\" in o ? o._value : o.value;return val}); _vm.dataYear=$event.target.multiple ? $$selectedVal : $$selectedVal[0]}}},[_c('option',[_vm._v(\"2014\")]),_c('option',[_vm._v(\"2022\")])])]),_c('p',{staticClass:\"year-description\"},[_vm._v(\" Changing the year will clear the selected questions and filters. \")])]),_c('div',{staticClass:\"options\"},[_c('div',{staticClass:\"topics\"},[_c('sidebar-component')],1),_c('div',{staticClass:\"hcps-parameters\"},[(!_vm.isLoadingYear && _vm.chartData != null && _vm.chartData.data.length > 0)?_c('div',{staticClass:\"topbar clip-required\"},[_c('div',{staticClass:\"row\"},[_c('div',{staticClass:\"col-12 col-sm-6 col-md-3 topbar-option\"},[_c('filterGrid',{attrs:{\"only\":['showPercentage'],\"label-position\":'vertical',\"clear-button\":false}})],1),_c('div',{staticClass:\"col-12 col-sm-6 col-md-3 topbar-option\"},[_c('filterGrid',{attrs:{\"only\":['confidenceInterval'],\"label-position\":'vertical',\"clear-button\":false}})],1),_c('div',{staticClass:\"col-12 col-sm-6 col-md-3 topbar-option\"},[_c('filterGrid',{attrs:{\"only\":['showGraph'],\"label-position\":'vertical',\"clear-button\":false}})],1),_c('div',{staticClass:\"col-12 col-sm-6 col-md-3 topbar-option harness-ui-filtergrid-row\"},[_c('fieldset',[_c('legend',{staticClass:\"col-form-label harness-ui-radiogroup-legend\"},[_vm._v(\" Download: \")]),_c('div',{staticClass:\"topbar-option-value\"},[_c('button',{staticClass:\"download-button\",attrs:{\"aria-label\":\"Download chart as PNG\"},on:{\"click\":_vm.exportToPNG}},[_vm._v(\" Chart \"),_c('span',{staticClass:\"badge\"},[_vm._v(\"PNG\")])])]),_c('div',{staticClass:\"topbar-option-value\"},[_c('button',{staticClass:\"download-button\",attrs:{\"aria-label\":\"Download table as CSV\"},on:{\"click\":_vm.exportToCSV}},[_vm._v(\" Table \"),_c('span',{staticClass:\"badge\"},[_vm._v(\"CSV\")])])])])])])]):_vm._e(),_c('div',{attrs:{\"id\":\"dashboard-chart-container\"}},[(_vm.isLoadingYear || _vm.chartData == null || _vm.chartData.data.length === 0)?[_vm._m(0)]:(_vm.isChartNoResults())?[_vm._m(1)]:[_c('chartGrid',{class:(\"clip-required \" + (!_vm.showGraph && 'hidden')),attrs:{\"columns\":1,\"only\":['graphChart'],\"aria-hidden\":!_vm.showGraph}}),_c('chartGrid',{class:(\"clip-required \" + (_vm.showGraph && 'hidden')),attrs:{\"columns\":1,\"only\":['tableChart'],\"aria-hidden\":_vm.showGraph}}),(_vm.chartData != null && _vm.chartData.data.length > 0)?_c('div',{staticClass:\"table-footnotes clip-required\",attrs:{\"id\":\"dashboard-footnotes-container\"}},[_c('p',{staticClass:\"table-footnotes-header\"},[_vm._v(\" Notes: \")]),(_vm.chartData.footnotes.benchmark.hasBenchmark)?_c('div',{staticClass:\"table-footnotes-item\"},[_c('span',{staticClass:\"table-footnotes-benchmark-symbol\"},[_vm._v(_vm._s(_vm.chartData.footnotes.benchmark.symbol))]),_vm._v(\" \"+_vm._s(_vm.chartData.footnotes.benchmark.text)+\" \")]):_vm._e(),(_vm.chartData.footnotes.subpops)?_c('div',{staticClass:\"table-footnotes-item\"},[_c('p',[_vm._v(\" \"+_vm._s(_vm.chartData.footnotes.subpops.text)+\" \")]),(_vm.chartData.footnotes.subpops && _vm.chartData.footnotes.subpops.items)?_c('ul',_vm._l((_vm.chartData.footnotes.subpops.items),function(subpop){return _c('li',{key:subpop.id},[_vm._v(\" \"+_vm._s(subpop.text)+\" \")])}),0):_vm._e()]):_vm._e(),(_vm.chartData.footnotes.suppressed)?_c('div',{staticClass:\"table-footnotes-item\"},[_c('span',{staticClass:\"table-footnotes-suppressed-symbol\"},[_vm._v(_vm._s(_vm.chartData.footnotes.suppressed.symbol))]),_vm._v(\" \"+_vm._s(_vm.chartData.footnotes.suppressed.text)+\" \")]):_vm._e(),_c('div',{staticClass:\"table-footnotes-item\"},[_vm._v(\" \"+_vm._s(_vm.chartData.footnotes.variableName)+\" \")]),_c('div',{staticClass:\"table-footnotes-item\"},[_vm._v(\" \"+_vm._s(_vm.chartData.footnotes.weighting)+\" \")]),_c('div',{staticClass:\"table-footnotes-item\"},[_vm._v(\" \"+_vm._s(_vm.chartData.footnotes.compare2014)+\" \")])]):_vm._e()]],2)])])])}\nvar staticRenderFns = [function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{staticClass:\"alert-message alert-initial-state\"},[_c('p',[_vm._v(\" Select a Primary Question to get started. \")]),_c('p',[_vm._v(\" After you select a Primary Question, a chart or table will appear in this space. The chart or table will be updated as you make additional selections. \")])])},function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{staticClass:\"alert-message alert-no-results\"},[_c('p',[_vm._v(\" No survey responses are available for the selected analysis. As a result, no results can be produced. \")]),_c('p',[_vm._v(\" Please adjust the selected questions or filters. \")])])}]\n\nexport { render, staticRenderFns }","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{staticClass:\"sidebar-container\"},[_c('div',{staticClass:\"clear-questions\",class:{ disabled: _vm.needsFirstSelection }},[_c('button',{attrs:{\"disabled\":_vm.needsFirstSelection},on:{\"click\":function($event){return _vm.clearQuestions()}}},[_vm._v(\" Clear all selections \"),_c('i',{staticClass:\"bi bi-x-circle-fill\"})])]),_c('sidebar-topic',{attrs:{\"step\":1,\"title\":\"Primary Question\",\"description\":\"Select the primary survey question for the analysis. The results will show the distribution of this question's response categories.\",\"disabled\":_vm.isQuestionDisabled,\"selection-required\":true,\"selected-topic\":_vm.selectedRowQuestion},on:{\"onSelectTopic\":function($event){return _vm.selectFirst($event)}}}),_c('div',{staticClass:\"swap-questions\",class:{ disabled: _vm.needsFirstSelection || _vm.needsSecondSelection }},[_c('button',{attrs:{\"disabled\":_vm.needsFirstSelection || _vm.needsSecondSelection},on:{\"click\":function($event){return _vm.swapQuestions()}}},[_vm._v(\" Swap primary/comparison questions \"),_c('svg',{staticClass:\"swap-icon\",attrs:{\"xmlns\":\"http://www.w3.org/2000/svg\",\"viewBox\":\"0 0 16 16\",\"fill\":\"currentColor\"}},[_c('path',{attrs:{\"d\":\"m8 0c-4.418 0-8 3.582-8 8 0 4.418 3.582 8 8 8 4.418 0 8-3.582 8-8 0-4.418-3.582-8-8-8zm-2.162 4.004c0.25 0 0.5 0.1667 0.5 0.5v5.783l1.398-1.396c0.472-0.472 1.181 0.2374 0.709 0.709l-2.254 2.248c-0.1954 0.1959-0.5117 0.1959-0.707 0l-2.227-2.275c-0.472-0.472 0.235-1.179 0.707-0.707l1.373 1.422v-5.783c0-0.3333 0.25-0.5 0.5-0.5zm4.299 0c0.1282 0 0.2558 0.04856 0.3535 0.1465l2.254 2.25c0.4725 0.4715-0.237 1.179-0.709 0.707l-1.398-1.396v5.783c0 0.6667-1 0.6667-1 0v-5.783l-1.373 1.422c-0.472 0.472-1.179-0.235-0.707-0.707l2.227-2.275c0.09768-0.09793 0.2254-0.1465 0.3535-0.1465z\"}})])])]),_c('sidebar-topic',{attrs:{\"step\":2,\"title\":\"Comparison Question\",\"description\":\"To compare the results by another survey question, select the comparison question. The results will show the distribution of this question's response categories within each response category of the primary question.\",\"disabled\":_vm.isComparisonDisabled,\"selected-topic\":_vm.selectedColumnQuestion},on:{\"onSelectTopic\":function($event){return _vm.selectSecond($event)}}}),_c('sidebar-topic',{attrs:{\"step\":3,\"title\":\"Population Filter\",\"description\":\"To narrow the analysis to a subpopulation, select a survey question and one or more of its response categories. The results will be filtered to include only the patients in one of these categories. The filter is limited to one question at a time; you cannot combine categories from multiple questions into a single filter.\",\"disabled\":_vm.isFilterDisabled,\"selected-topic\":_vm.selectedFilterQuestion,\"selected-levels\":_vm.filterByQuestion,\"use-sub-selection\":true},on:{\"onSelectTopic\":function($event){return _vm.selectFilter($event)}}})],1)}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{ref:\"container\",staticClass:\"sidebar-topic\",class:{ disabled: _vm.disabled }},[_c('div',{staticClass:\"sidebar-topic-header\"},[_c('h3',[_vm._v(_vm._s(_vm.step)+\" - \"+_vm._s(_vm.title))])]),_c('div',{staticClass:\"sidebar-topic-help-text\"},[_c('p',[_vm._v(\" \"+_vm._s(_vm.description)+\" \")])]),_c('div',{staticClass:\"sidebar-topic-action-zone\"},[_c('button',{staticClass:\"call-to-action\",attrs:{\"aria-label\":(\"Select the \" + _vm.title),\"disabled\":_vm.disabled},on:{\"click\":function($event){return _vm.openQuestions()}}},[_vm._v(\" Select \"),_c('i',{staticClass:\"bi bi-chevron-down\"})]),(_vm.selectedTopic)?_c('button',{attrs:{\"aria-label\":(\"Clear the \" + _vm.title),\"disabled\":_vm.disabled},on:{\"click\":function($event){return _vm.clearSelection()}}},[_vm._v(\" Clear \"),_c('i',{staticClass:\"bi bi-x-circle-fill\"})]):_vm._e()]),(_vm.disabled)?_c('div',{staticClass:\"sidebar-topic-disabled-message\"},[_c('i',[_vm._v(\"Selecting a \"+_vm._s(_vm.title)+\" is unavailable until a Primary Question is selected.\")])]):_vm._e(),(_vm.areQuestionsOpen)?_c('question-list',{attrs:{\"use-sub-selection\":_vm.useSubSelection,\"selected-levels\":_vm.selectedLevels,\"selected-question\":_vm.selectedTopic},on:{\"onSelectQuestion\":function($event){return _vm.selectQuestion($event)},\"onClosePopup\":function($event){return _vm.closeQuestions()},\"onListOpen\":function($event){return _vm.listOpened()}}}):_vm._e(),_c('div',{staticClass:\"sidebar-topic-selection\"},[(_vm.selectedTopic)?_c('dl',[_c('div',[_c('dt',[_vm._v(\"Selected question:\")]),_c('dd',[_vm._v(\" \"+_vm._s(_vm.selectedTopic.label)+\" \")])]),(_vm.useSubSelection && _vm.selectedLevels)?[_c('div',[_c('dt',[_vm._v(\"Selected categories:\")]),_c('dd',[_c('ul',_vm._l((_vm.selectedLevels.levels),function(level){return _c('li',{key:level.value},[_vm._v(\" \"+_vm._s(level.label)+\" \")])}),0)])])]:_vm._e(),(_vm.selectedTopic)?[_c('div',[_c('dt',{staticClass:\"detail-label\"},[_vm._v(\" Question group: \")]),_c('dd',{staticClass:\"detail-value\"},[_vm._v(\" \"+_vm._s(_vm.selectedTopic.group)+\" \")])]),_c('div',[_c('dt',{staticClass:\"detail-label\"},[_vm._v(\" PUF variable name: \")]),_c('dd',{staticClass:\"detail-value\"},[_vm._v(\" [\"+_vm._s(_vm.selectedTopic.id)+\"] \")])])]:_vm._e()],2):_c('p',{staticClass:\"no-selection\"},[_vm._v(\" No \"+_vm._s(_vm.title)+\" is selected.\"),_c('br'),_c('span',{class:{ 'selection-required-message': _vm.selectionRequired }},[_c('i',[_vm._v(\"This selection is \"+_vm._s(_vm.selectionRequired ? \"required\" : \"optional\")+\".\")])])])])],1)}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{staticClass:\"question-modal\"},[_c('question-list',{attrs:{\"use-sub-selection\":_vm.useSubSelection,\"selected-question\":_vm.selectedQuestion,\"selected-levels\":_vm.selectedLevels},on:{\"onSelectQuestion\":function($event){return _vm.$emit('onSelectQuestion', $event)}}}),_c('div',{staticClass:\"mouse-capture\",on:{\"click\":function($event){return _vm.$emit('onClosePopup')}}})],1)}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function () {\nvar this$1 = this;\nvar _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{staticClass:\"question-list\"},[_c('FilterGrid',{attrs:{\"only\":['accordion'],\"clear-button\":false,\"on-accordion-select\":function (value) { return this$1.onSelectFilter(value); },\"use-sub-selection\":_vm.useSubSelection,\"selected-levels\":_vm.selectedLevels,\"selected-question\":_vm.selectedQuestion}})],1)}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\n  <div class=\"question-list\">\n    <FilterGrid\n      :only=\"['accordion']\"\n      :clear-button=\"false\"\n      :on-accordion-select=\"value => this.onSelectFilter(value)\"\n      :use-sub-selection=\"useSubSelection\"\n      :selected-levels=\"selectedLevels\"\n      :selected-question=\"selectedQuestion\"\n    />\n  </div>\n</template>\n\n<script>\nexport default {\n  name: 'QuestionList',\n  props: {\n    useSubSelection: {\n      type: Boolean,\n      default: false\n    },\n    selectedQuestion: {\n      type: Object,\n      default: null\n    },\n    selectedLevels: {\n      type: Object,\n      default: null\n    }\n  },\n  methods: {\n    onSelectFilter (value) {\n      this.$emit('onSelectQuestion', value)\n    }\n  }\n}\n</script>\n\n<style lang=\"scss\" scoped>\n.question-list {\n  background-color: #edf1f7;\n  border-radius: 4px;\n  padding: 8px;\n}\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./QuestionList.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./QuestionList.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./QuestionList.vue?vue&type=template&id=09fdb78c&scoped=true&\"\nimport script from \"./QuestionList.vue?vue&type=script&lang=js&\"\nexport * from \"./QuestionList.vue?vue&type=script&lang=js&\"\nimport style0 from \"./QuestionList.vue?vue&type=style&index=0&id=09fdb78c&lang=scss&scoped=true&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"09fdb78c\",\n  null\n  \n)\n\nexport default component.exports","<template>\n  <div\n    class=\"question-modal\"\n  >\n    <question-list\n      @onSelectQuestion=\"$emit('onSelectQuestion', $event)\"\n      :use-sub-selection=\"useSubSelection\"\n      :selected-question=\"selectedQuestion\"\n      :selected-levels=\"selectedLevels\"\n    />\n    <div\n      class=\"mouse-capture\"\n      @click=\"$emit('onClosePopup')\"\n    />\n  </div>\n</template>\n\n<script>\nimport QuestionList from './QuestionList.vue'\nexport default {\n  name: 'QuestionModal',\n  components: { QuestionList },\n  emits: ['onSelectQuestion', 'onClosePopup', 'onListOpen'],\n  props: {\n    useSubSelection: {\n      type: Boolean,\n      default: false\n    },\n    selectedQuestion: {\n      type: Object,\n      default: null\n    },\n    selectedLevels: {\n      type: Object,\n      default: null\n    }\n  },\n  mounted () {\n    this.$emit('onListOpen')\n  }\n}\n</script>\n\n<style lang=\"scss\" scoped>\n  .question-modal {\n    box-shadow: 3px 5px 10px rgb(118 136 147 / 50%);\n    position: absolute;\n    z-index: 100;\n    width: 60rem;\n    max-width: 90%;\n\n    .question-list {\n      z-index: 10;\n    }\n\n    .mouse-capture {\n      position: fixed;\n      left: 0px;\n      right: 0px;\n      top: 0px;\n      bottom: 0px;\n      background-color: rgba(0, 0, 0, 0.0);\n      z-index: -10;\n    }\n  }\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./QuestionPopup.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./QuestionPopup.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./QuestionPopup.vue?vue&type=template&id=451e6436&scoped=true&\"\nimport script from \"./QuestionPopup.vue?vue&type=script&lang=js&\"\nexport * from \"./QuestionPopup.vue?vue&type=script&lang=js&\"\nimport style0 from \"./QuestionPopup.vue?vue&type=style&index=0&id=451e6436&lang=scss&scoped=true&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"451e6436\",\n  null\n  \n)\n\nexport default component.exports","<template>\n  <div\n    class=\"sidebar-topic\"\n    :class=\"{ disabled: disabled }\"\n    ref=\"container\"\n  >\n    <div class=\"sidebar-topic-header\">\n      <h3>{{ step }} - {{ title }}</h3>\n    </div>\n\n    <div class=\"sidebar-topic-help-text\">\n      <p>\n        {{ description }}\n      </p>\n    </div>\n\n    <div class=\"sidebar-topic-action-zone\">\n      <button\n        class=\"call-to-action\"\n        :aria-label=\"`Select the ${title}`\"\n        :disabled=\"disabled\"\n        @click=\"openQuestions()\"\n      >\n        Select <i class=\"bi bi-chevron-down\" />\n      </button>\n      <button\n        v-if=\"selectedTopic\"\n        :aria-label=\"`Clear the ${title}`\"\n        :disabled=\"disabled\"\n        @click=\"clearSelection()\"\n      >\n        Clear <i class=\"bi bi-x-circle-fill\" />\n      </button>\n    </div>\n    <div\n      v-if=\"disabled\"\n      class=\"sidebar-topic-disabled-message\"\n    >\n      <i>Selecting a {{ title }} is unavailable until a Primary Question is selected.</i>\n    </div>\n    <question-list\n      v-if=\"areQuestionsOpen\"\n      :use-sub-selection=\"useSubSelection\"\n      :selected-levels=\"selectedLevels\"\n      :selected-question=\"selectedTopic\"\n      @onSelectQuestion=\"selectQuestion($event)\"\n      @onClosePopup=\"closeQuestions()\"\n      @onListOpen=\"listOpened()\"\n    />\n\n    <div class=\"sidebar-topic-selection\">\n      <dl v-if=\"selectedTopic\">\n        <div>\n          <dt>Selected question:</dt>\n          <dd>\n            {{ selectedTopic.label }}\n          </dd>\n        </div>\n        <template v-if=\"useSubSelection && selectedLevels\">\n          <div>\n            <dt>Selected categories:</dt>\n            <dd>\n              <ul>\n                <li\n                  v-for=\"level in selectedLevels.levels\"\n                  :key=\"level.value\"\n                >\n                  {{ level.label }}\n                </li>\n              </ul>\n            </dd>\n          </div>\n        </template>\n        <template v-if=\"selectedTopic\">\n          <div>\n            <dt class=\"detail-label\">\n              Question group:\n            </dt>\n            <dd class=\"detail-value\">\n              {{ selectedTopic.group }}\n            </dd>\n          </div>\n          <div>\n            <dt class=\"detail-label\">\n              PUF variable name:\n            </dt>\n            <dd class=\"detail-value\">\n              [{{ selectedTopic.id }}]\n            </dd>\n          </div>\n        </template>\n      </dl>\n      <p\n        v-else\n        class=\"no-selection\"\n      >\n        No {{ title }} is selected.<br>\n        <span :class=\"{ 'selection-required-message': selectionRequired }\">\n          <i>This selection is {{ selectionRequired ? \"required\" : \"optional\" }}.</i>\n        </span>\n      </p>\n    </div>\n  </div>\n</template>\n\n<script>\nimport QuestionList from './QuestionPopup.vue'\nexport default {\n  name: 'SidebarTopic',\n  components: { QuestionList },\n  props: {\n    step: {\n      type: Number,\n      required: true\n    },\n    title: {\n      type: String,\n      required: true\n    },\n    description: {\n      type: String,\n      required: true\n    },\n    disabled: {\n      type: Boolean,\n      default: false\n    },\n    selectionRequired: {\n      type: Boolean,\n      default: false\n    },\n    selectedTopic: {\n      type: Object,\n      default: null\n    },\n    selectedLevels: {\n      type: Object,\n      default: null\n    },\n    useSubSelection: {\n      type: Boolean,\n      default: false\n    }\n  },\n  data () {\n    return {\n      areQuestionsOpen: false\n    }\n  },\n  methods: {\n    selectQuestion (value) {\n      this.$emit('onSelectTopic', value)\n      this.closeQuestions()\n    },\n    openQuestions () {\n      this.areQuestionsOpen = true\n    },\n    closeQuestions () {\n      this.areQuestionsOpen = false\n    },\n    clearSelection () {\n      this.$emit('onSelectTopic', { id: null, levels: null })\n      this.closeQuestions()\n    },\n    listOpened () {\n      const y = this.$refs.container.getBoundingClientRect().top\n      const height = window.visualViewport.height\n\n      if (y / height > 0.4) {\n        window.scrollTo({\n          left: 0,\n          top: this.$refs.container.offsetTop,\n          behavior: 'smooth'\n        })\n      }\n    }\n  }\n}\n</script>\n\n<style lang=\"scss\" scoped>\n.sidebar-topic {\n  margin: 24px 0;\n  padding: 4px;\n  background-color: #edf1f7;\n}\n\n.sidebar-topic:first-child {\n  margin-top: 0;\n}\n\n.sidebar-topic-header {\n  padding: 8px 8px;\n\n  h3 {\n    font-family: Merriweather;\n    font-size: 16px;\n    font-weight: bold;\n    margin-top: 0;\n    color: #323a45;\n  }\n}\n\n.sidebar-topic-help-text {\n  padding: 0px 8px;\n  font-size: 14px;\n\n  p {\n    margin-bottom: 0;\n  }\n}\n\n.sidebar-topic-selection {\n  padding: 12px 8px;\n  background-color: #fff;\n\n  dl {\n    margin-bottom: 0;\n  }\n\n  p {\n    margin-bottom: 0;\n  }\n\n  .no-selection {\n    font-size: 16px;\n  }\n\n  .selection-required-message {\n    color: #981b1e;\n  }\n}\n\ndt {\n  font-family: Merriweather;\n  font-weight: bold;\n}\n\ndd {\n  margin-left: 1rem;\n  font-size: 16px;\n}\n\ndd > ul {\n  list-style-position: inside;\n  padding-left: 0;\n}\n\n.detail-label,\n.detail-value {\n  display: inline-block;\n  margin-left: 0;\n  margin-bottom: 0;\n}\n\n.detail-label {\n  font-size: 12px;\n}\n\n.detail-value {\n  margin-left: 0.5rem;\n  font-size: 14px;\n}\n\n.sidebar-topic-action-zone {\n  padding: 12px 8px;\n  display: flex;\n  flex-direction: row;\n  justify-content: space-between;\n}\n\n.sidebar-topic-disabled-message {\n  padding: 0px 8px 12px 8px;\n}\n\n.disabled {\n  background-color: #f8f9fc;\n  color: #737373;\n\n  h3 {\n    color: #737373;\n  }\n}\n\nbutton {\n  border: 0px;\n  color: #313a45;\n  background: none;\n  transition: 300ms ease all;\n  font-size: 1.1em;\n\n  i {\n    color: #267cb8;\n    transform: scale(1.2);\n    transform-origin: left;\n    display: inline-block;\n    transition: 300ms ease all;\n  }\n\n  &:hover {\n    color: #267cb8;\n    i {\n      color: #205492;\n      transform: scale(1.45);\n    }\n  }\n\n  &:disabled {\n    color: #737373;\n\n    i {\n      color: #aaa;\n      transform: scale(1.2);\n    }\n  }\n\n  &.call-to-action {\n    padding: 4px 12px;\n    color: #fff;\n    background-color: #267cb8;\n    transition: 300ms ease all;\n\n    i {\n      color: #fff;\n      transform: scale(1.0);\n      transform-origin: left;\n      display: inline-block;\n      transition: 300ms ease all;\n    }\n\n    &:hover {\n      background-color: #205492;\n      i {\n        transform: scale(1.0);\n      }\n    }\n\n    &:disabled {\n      color: #fff;\n      background-color: #aaa;\n\n      i {\n        color: #fff;\n      }\n    }\n  }\n}\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./SidebarTopic.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./SidebarTopic.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./SidebarTopic.vue?vue&type=template&id=ae98023a&scoped=true&\"\nimport script from \"./SidebarTopic.vue?vue&type=script&lang=js&\"\nexport * from \"./SidebarTopic.vue?vue&type=script&lang=js&\"\nimport style0 from \"./SidebarTopic.vue?vue&type=style&index=0&id=ae98023a&lang=scss&scoped=true&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"ae98023a\",\n  null\n  \n)\n\nexport default component.exports","<template>\n  <div class=\"sidebar-container\">\n    <div\n      class=\"clear-questions\"\n      :class=\"{ disabled: needsFirstSelection }\"\n    >\n      <button\n        :disabled=\"needsFirstSelection\"\n        @click=\"clearQuestions()\"\n      >\n        Clear all selections <i class=\"bi bi-x-circle-fill\" />\n      </button>\n    </div>\n    <sidebar-topic\n      :step=\"1\"\n      title=\"Primary Question\"\n      description=\"Select the primary survey question for the analysis. The results will show the distribution of this question's response categories.\"\n      :disabled=\"isQuestionDisabled\"\n      :selection-required=\"true\"\n      :selected-topic=\"selectedRowQuestion\"\n      @onSelectTopic=\"selectFirst($event)\"\n    />\n    <div\n      class=\"swap-questions\"\n      :class=\"{ disabled: needsFirstSelection || needsSecondSelection }\"\n    >\n      <button\n        :disabled=\"needsFirstSelection || needsSecondSelection\"\n        @click=\"swapQuestions()\"\n      >\n        Swap primary/comparison questions\n        <svg\n          xmlns=\"http://www.w3.org/2000/svg\"\n          class=\"swap-icon\"\n          viewBox=\"0 0 16 16\"\n          fill=\"currentColor\"\n        >\n          <path d=\"m8 0c-4.418 0-8 3.582-8 8 0 4.418 3.582 8 8 8 4.418 0 8-3.582 8-8 0-4.418-3.582-8-8-8zm-2.162 4.004c0.25 0 0.5 0.1667 0.5 0.5v5.783l1.398-1.396c0.472-0.472 1.181 0.2374 0.709 0.709l-2.254 2.248c-0.1954 0.1959-0.5117 0.1959-0.707 0l-2.227-2.275c-0.472-0.472 0.235-1.179 0.707-0.707l1.373 1.422v-5.783c0-0.3333 0.25-0.5 0.5-0.5zm4.299 0c0.1282 0 0.2558 0.04856 0.3535 0.1465l2.254 2.25c0.4725 0.4715-0.237 1.179-0.709 0.707l-1.398-1.396v5.783c0 0.6667-1 0.6667-1 0v-5.783l-1.373 1.422c-0.472 0.472-1.179-0.235-0.707-0.707l2.227-2.275c0.09768-0.09793 0.2254-0.1465 0.3535-0.1465z\" />\n        </svg>\n      </button>\n    </div>\n    <sidebar-topic\n      :step=\"2\"\n      title=\"Comparison Question\"\n      description=\"To compare the results by another survey question, select the comparison question. The results will show the distribution of this question's response categories within each response category of the primary question.\"\n      :disabled=\"isComparisonDisabled\"\n      :selected-topic=\"selectedColumnQuestion\"\n      @onSelectTopic=\"selectSecond($event)\"\n    />\n    <sidebar-topic\n      :step=\"3\"\n      title=\"Population Filter\"\n      description=\"To narrow the analysis to a subpopulation, select a survey question and one or more of its response categories. The results will be filtered to include only the patients in one of these categories. The filter is limited to one question at a time; you cannot combine categories from multiple questions into a single filter.\"\n      :disabled=\"isFilterDisabled\"\n      :selected-topic=\"selectedFilterQuestion\"\n      :selected-levels=\"filterByQuestion\"\n      :use-sub-selection=\"true\"\n      @onSelectTopic=\"selectFilter($event)\"\n    />\n  </div>\n</template>\n\n<script>\nimport SidebarTopic from './SidebarTopic.vue'\nimport { Hs } from '@rtidatascience/harness'\nimport { mapGetters } from 'vuex'\n\nexport default {\n  name: 'SidebarComponent',\n  components: { SidebarTopic },\n  methods: {\n    selectFirst ({ id, levels }) {\n      this.$store.commit('buildFilter', levels)\n      this.$store.commit('setRowQuestion')\n\n      const hs = new Hs('topic', this.$store)\n      hs.loadData()\n    },\n    selectSecond ({ id, levels }) {\n      this.$store.commit('buildFilter', levels)\n      this.$store.commit('setColumnQuestion')\n\n      const hs = new Hs('topic', this.$store)\n      hs.loadData()\n    },\n    selectFilter ({ id, levels }) {\n      this.$store.commit('setFilterQuestion', { id, values: levels })\n\n      const hs = new Hs('topic', this.$store)\n      hs.loadData()\n    },\n    swapQuestions () {\n      this.$store.commit('swapSelectedQuestions')\n\n      const hs = new Hs('topic', this.$store)\n      hs.loadData()\n    },\n    clearQuestions () {\n      this.selectFirst({ id: null, levels: null })\n      this.selectSecond({ id: null, levels: null })\n      this.selectFilter({ id: null, levels: null })\n    }\n  },\n  computed: {\n    ...mapGetters(['rowQuestion', 'columnQuestion', 'filterQuestion', 'filterByQuestion', 'getQuestion']),\n    selectedRowQuestion () {\n      return this.rowQuestion\n    },\n    selectedColumnQuestion () {\n      return this.columnQuestion\n    },\n    selectedFilterQuestion () {\n      return this.filterQuestion\n    },\n    selectedFilterValues () {\n      return this.filterByQuestion\n    },\n    needsFirstSelection () {\n      return this.selectedRowQuestion == null\n    },\n    needsSecondSelection () {\n      return this.selectedColumnQuestion == null\n    },\n    isQuestionDisabled () {\n      return false\n    },\n    isComparisonDisabled () {\n      return this.needsFirstSelection\n    },\n    isFilterDisabled () {\n      return this.needsFirstSelection\n    }\n  }\n}\n</script>\n\n<style lang=\"scss\" scoped>\n.sidebar-container {\n  width: 100%;\n  height: 100%;\n}\n\n.swap-questions, .clear-questions {\n  text-align: right;\n  padding: 4px 12px;\n  background-color: #edf1f7;\n  font-size: 1.1em;\n\n  &.disabled {\n    background-color: #f8f9fc;\n  }\n\n  button {\n    border: 0;\n    background: #edf1f7;\n    transition: 300ms ease all;\n\n    i, .swap-icon {\n      color: #267cb8;\n      transform: scale(1.2);\n      transform-origin: left;\n      display: inline-block;\n      transition: 300ms ease all;\n    }\n\n    .swap-icon {\n      position: relative;\n      top: -0.15em;\n      width: 1em;\n      height: 1em;\n    }\n\n    &:hover {\n      color: #267cb8;\n\n      i, .swap-icon {\n        color: #205492;\n        transform: scale(1.45);\n      }\n    }\n\n    &:disabled {\n      background-color: #f8f9fc;\n      color: #737373;\n\n      i, .swap-icon {\n        color: #aaa;\n        transform: scale(1);\n      }\n    }\n  }\n}\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Sidebar.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Sidebar.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./Sidebar.vue?vue&type=template&id=0256618e&scoped=true&\"\nimport script from \"./Sidebar.vue?vue&type=script&lang=js&\"\nexport * from \"./Sidebar.vue?vue&type=script&lang=js&\"\nimport style0 from \"./Sidebar.vue?vue&type=style&index=0&id=0256618e&lang=scss&scoped=true&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"0256618e\",\n  null\n  \n)\n\nexport default component.exports","/**\n * Nicely formats a proportion as a percentage.\n *\n * A proportion is in the range [0, 1], while a percentage is in the range [0,\n * 100]. In the typical case, this function multiplies the proportion by 100\n * and rounds to the desired number of decimal places.\n * It also handles the following edge cases:\n *\n * - Null proportions are formatted as \"n/a\".\n * - Suppose the number of decimal places is 1. Percentages smaller than 0.1 are\n *   formatted as \"<0.1\". The exception is 0, which is formatted as \"0.0\".\n *   Similar logic is applied to percentages greater than 99.9.\n *\n * @param {number} proportion Proportion value to be formatted.\n * @param {number} decimals Number of decimal places to round the percentage to.\n *\n * @return {String} The formatted percentage value.\n */\nexport function formatAsPercentage (proportion, decimals) {\n  if (proportion === null) {\n    return 'n/a'\n  }\n  const pct = 100 * proportion\n  if (pct === 0 || pct === 100) {\n    return `${pct.toFixed(decimals)}`\n  }\n  const minValue = Math.pow(10, -decimals)\n  const maxValue = 100 - minValue\n  if (pct < minValue) {\n    return `<${minValue}`\n  }\n  if (pct > maxValue) {\n    return `>${maxValue}`\n  }\n  return `${pct.toFixed(decimals)}`\n}\n\n/**\n * Nicely formats a count rounded to the nearest thousand.\n *\n * In the typical case, this function rounds the count to the nearest thousand\n * and formats it using the user's locale. It also handles the following edge\n * cases:\n *\n * - Null counts are formatted as \"n/a\".\n * - Counts less than 1,000 are formatted as \"<1,000\". The exception is 0, which\n *   is formatted as \"0\".\n *\n * @param {number} count Count value to be formatted.\n *\n * @return {String} The formatted count.\n */\nexport function formatAsThousands (count) {\n  if (count === null) {\n    return 'n/a'\n  }\n  if (count === 0) {\n    return '0'\n  }\n  if (count < 1000) {\n    return `<${(1000).toLocaleString()}`\n  }\n  return (Math.round(count / 1000) * 1000).toLocaleString()\n}\n\n/**\n * Nicely formats a proportion.\n *\n * Examples:\n *   0.1234 => \"12.3\"\n *   0.0008 => \"<0.1\"\n *   0.0 => \"0.0\"\n *   null => \"n/a\"\n */\nexport function prettyPrintProportion (x) {\n  return x === null ? 'n/a' : formatAsPercentage(x, 1)\n}\n\n/**\n * Nicely formats the confidence interval of a proportion.\n *\n * Examples:\n *   (0.1234, 0.2345) => \"12.3 – 23.4\"\n *   (0.0008, 0.2345) => \"<0.1 – 23.4\"\n *   (0.0, 0.2345) => \"0.0 – 23.4\"\n *   (null, null) => \"n/a\"\n */\nexport function prettyPrintProportionCI (x) {\n  return x.lower === null\n    ? 'n/a'\n    : `${formatAsPercentage(x.lower, 1)} – ${formatAsPercentage(x.upper, 1)}`\n}\n\n/**\n * Nicely formats the sample size.\n *\n * Examples:\n *   55 => \"55\"\n *   1234 => \"1,234\"\n */\nexport function prettyPrintSampleSize (x) {\n  return x === null ? 'n/a' : x.toLocaleString()\n}\n\n/**\n * Nicely formats the estimated population size.\n *\n * Examples:\n *   0.0 => \"0\"\n *   55.0 => \"<1,000\"\n *   1567.89 => \"2,000\"\n *   1234567.89 => \"1,234,000\"\n *   null => \"n/a\"\n */\nexport function prettyPrintPopulationSize (x) {\n  return formatAsThousands(x)\n}\n\n/**\n * Nicely formats the confidence interval of an estimated population size.\n *\n * Examples:\n *   (890123.45, 1234567.89) => \"890,100 – 1,234,000\"\n *   (55.0, 1567.89) => \"<1,000 - 2,000\"\n *   (0.0, 1567.89) => \"0 - 2,000\"\n *   (null, null) => \"n/a\"\n */\nexport function prettyPrintPopulationSizeCI (x) {\n  return x.lower === null\n    ? 'n/a'\n    : `${formatAsThousands(x.lower)} – ${formatAsThousands(x.upper)}`\n}\n\nexport function safeStringForCSV (value) {\n  return `\"${csvSafeDoubleQuotes(value)}\"`\n}\n\nexport function csvSafeDoubleQuotes (value) {\n  if (value.replace === undefined) {\n    return value\n  }\n\n  return value.replace(/\"/g, '\"\"')\n}\n","export default `\n/* latin-ext */\n@font-face {\n  font-family: 'Merriweather';\n  font-style: normal;\n  font-weight: 400;\n  src: url(data:font/woff2;base64,d09GMgABAAAAAC4kAA4AAAAAZkwAAC3KAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGoMEGx4cgQ4GYACGWBEICoGUDPtpC4UGAAE2AiQDiVIEIAWEcgeWEhuoViV482DldkDSHvX2KIoSTnqLKGrF4AQG/39CgpIx9gO930AMrYSFMDLRgaQ0ssYAOdG8VqrQ0LSS+65ZmrUcuDwbhT+ODvSm3UC0bUdH36mt2hlGAMSDsg7nwLfHJ3tXeCORBt3fRm1V1kI7zO6Ue58z0/414X/U7j5GQyOJCR/ffvzuzOz7qogmUlNNNKppqZREbFA/pxOpO8Pz2/w/F4ucorMQaZO8F9ogBAmhBRNErJ5rM2ZN3+aqXdSrWr7XP17vvV5Ev/Lh+VP/3PdqZbXTDnb6ZqbbBwsw7eb8wsqUl/ZLqTgo/PPPDe/7nTCPUgokoKTEpjIf4Ogh7tO3mVA8n5Jg6DhBQ5LxCEWgXrBip1qutcC1W9sIgH/bYbSMnuhcu8BTzGd/t+pasplJu3Yj7eYqxACx7/LAmpEpcQjrB/K1D2gIEnjtyyMWDVn/aztL/6iNUtxC8x3iziPmK8UMCIVqDf+FIH9ruagSiXAMuZarydYstyhsU6Ded43/eeGr7Q75xv+fbn6nMdfpu0xBRLoFCGIPS23yGpiOdIqVX30dJqtZBXzCpsZSUfnpyTSbwgrr2yVrxafE17rMU1S0xkPFwjmLV1Y+TwHJxs9vcc5jMlbyBMLPmBR4RPNvW9b+2ZmfEJ8fYkZy6vXAierrrxzm/w8ZZv4KsgZrsLwssE42okAMopyIdapr0RPzSisx6a67d6UXRWlWXX1F10t38P//9ybPP3NocNIKZYUisMEuDnErN61oLBGLvWcfHyIGYhY2B65aGpINEtxsLlgfX7vNpUHRmCbLQYHDPn49fDcfSWHiIfRiRnKtw/b3RIdHAGzh0JiRjTzCAAGzRRBwIQgELDIoAl0UjQGKwwiRMEVUrFEydigVNwTDRSIWqQoQQaZIkG0FqaxFOhuQ0RZkthu57EVuh9USRAKvFVTmBKpwATW7iZa6i1b7CnX5HvUbReMm0bQ5tM46NG8D2mQr2m472mkP2ucwOuooOu5N9I530Qc+RCedRmd9pH6CCOELK+i//oe+9g36zo/qz6wcwq/Og3BRhHDZCrrqOrrpDrpvEj3yRnwRehOKyCNFoiZqEG0rJsAGyAsj625u2wclBANAZdDQELOz6Fu36PWqm5fh/ab89lXoAbz90TYLRk9t2y1opYsEyJJbMaXRvvz+1GXoGaYxQyMXjUIoQgG5AG0NrTwYNa4b9+S2BKPKNaMek6NiFE0IgEN9CHDPtiYGriwAlifXr90wP3zreXautdAAXD+kf5xvwHAU8RpIEgDs7GuPZfSGS+QIGpBFcvS6J/8rq8iDDNgGTQIZtFvfKkqxuq8CvZJUs5KNLjrNqpaiiighFAKFTkmiSClqip5SQKmgNFGGKNOUOco2ygsajbaTtoe2QDtEO0p7jfYm7T3ah/So3vGUZQOIC5mg/EXtgI5BH0FXoQfkPWWESj0rRVGwlFtXh0WRULIpWoqH4qfUU3opU5RZ+Iem3bR9tAOLv0p7gwZc0UCy327Yo/mvH3ttfqYLOX9/x6Wvf34Czl79GQ47u/7UfsGX/lKZi+4vmnKoaGhVqtZouc7NLVmtV6BwkaIlSpfhkSwlygLav5yqOoPi5f+vJierWCsE09CYFUGqSNJFIUAkTRyZ4rmHSRYqTzD4CYtsNJ5iUySNAlxKcCgGU0FAOQWNZNQTU0NOAyne1MmkRTZtPqXWKUc3jS5aPfRELF6xYVmJOQ0o8ie3XxX6Q5n/lRvkJ1VhWLUxVUZVGtFi1lUzrpj2VQA/fHLbO1+S4buPvvDZt9HoTxEDxtPARFqEpYkCv1vuAwNMeURlgz5me/0sFDMk1PL4zTLvOVEoGhMeSkUZc3BYp8TfaoxrNccSIQLmLcIGJO5L4IFk8vAohVBJp5fRcyYv2Ek49PP6V60JdSbd8NpNb3yfPLqi0JMcBlPCZNoEpoKhlDGSKkZTIwaKF1M0LVaiYhWnSNFFFQkCSPZvFwC0BoD9AfwBDm4A534B1vsBSwvgo+uy7JafEeQ5Za/U2cYxxj5KER5Al/FBmpfIFk+Q68RmkH0fv4ZbZD94Hdt0+1pUJsMknDnJUyfQ2YljaezGmXKgAKXjW9Ghq4RVMb24AQ0SMqU7iyJl06KR+F0Ogu5IoUgIghDctoYyLNTjIB6K29mvJm2/C1Fymw+WYzmAHMg2+UnMWrW02cR5ZyLQb0xDQOzHQYYuknWJpuHyd1g4TpPWeNfLeeIubmd9g7pdmlJul3Zpc9s5+Gy8JoAGVK/3elAeEag/xuuAFpI1HWofvruBDv3labK9tAc8UWujxyRSb/f8ny/LQpT7Wi+Vfs3rKCtmwYOt4JsjZdczQEYpRVon8m3RixQDoQJ1rzbgW4JRCTLTbZN8zeqrYl82YnQZz4yAh2o9MUDYucxKlHcfKTpJQGqYRtg6JaUI9hzxfygtnanjfcR3p5qd0Y1jnyBNlVr1/z29GhD1sioYxoP6vAegTWGZIWsdVQb6lszTZ6QHapgkyimL/OHZCUwZhEjpECLVFCme/bWqms8Q0hKqanOeyuz8kfo5eon5MkLI5rTrQAogcsBc9NOIbFUdJaReuBEukJ5e1wwCT4k1h2Mr8sDn6RLyHHKOyTgch2foRxP1Y9mg2VAKzmBe4aGG+V20K8BJ6zpW2rq8WALg6anstZ2bY0CNyUEi0iLrhxZ9mO5sPb5qMALi+C6thVS4XU8V4TGCj+XAQO2F6gGN86AaW3JKh501GXgZPpC0bmDoGl80pEldoSADP6U2R4t9BRo+nO0sIsCtyCnZBOLyEUAGCudpJKcJmK39XgcdzBaQJn8VKIjD5XZFrixmNHFpM62F41aShEGb9wFeYMKm/SFaaONI0DpXJ03GnyXTB5Z0j5KPBamm6HDUT7QKh/4Rdg4z9nK0cOL9CAicBZ9HLMYSruoTHSEByvzSod9vG5uQOo0iOjF5CvPG1Qi0MHKPKxKnfp3tKCyapmE46S/hXbI51MvjGB9QW2R7frB1KfXf5biNFrPYD2jHdkHZbAtiWL/47O0AC0ds4+tIm3sd7N0zgRNTT0zxJr9u47LFdATX0XHjuis+whiQLH8rPi8dmfPLnZ09Bizq/TqucAgDus7vUvqTkse6vcXqDu2NSlVEEqbeSrS3sBehRFmMrK3PGHbEYSBoq0ZCTvHS/pesfbWdQNZ4bkArl1zmTLcy9oXGZ90ffpfZH4XTHZ2K/OQpmYH0k4IMGgFKvRZbi4xCZHgdGvUc0y6Kd5x3RyHGsWZLh/oDFgvuxxi4rCRR7MqXonz00DzLUnMOw9YhaRzaOx30R6wflqrwkyMXJi3I2jzt19iuL3jHbbcr6hd/Msndwbv8deIccIEqN2nJG3a0Aaazh+5N7nW+A2RLt+otYuhHvYNyu7NHktbBGmhF2P76qrfjpEK7YzSSs9Wdx648r4h9sVk1WlRuDzFsLQYM9srZ08+tSq/Mez4AqcSbpIqOQcjfSOIgJxFToL8GxtHM4GtQ1nTEt7FyJBfnkorm/Xorqk/LTLNe3bxzSuM9+zs7uP4JiR64h3FnJdBQqQlCVXsum5Abk3ZhvNaelq7BaYjBuNu2y27yC/bp+5QXajLJnW0gK20gvsjxkYLaGXuCaCPRuXW20cc5ZFIuzRkG/W4XPe8XZuZ1ptIs29fimagwIX+fHrYzUk4j8nofx5MTLArmW5n/zCOZLmcWpY2DBJqtSQvFWU9oyEbEE51vRqk24rnPadIZxxmL+Bmw0gwOE5/2A4RL8ZLo0EKs0d9Ws5MMT2pYwyQOdA2CgieOxlbkMxBmYTtEA8cWx5lSmsSIa8pW4cFPhdM6XQOu+qrspgy4FG06Z7Qu5zQQIp5QkDATQZXRKSpTFlqylUTFixDMU0ym43MmwxzqBYjHQNmYNYMbI5W+4l2yerILa2SkFp8K+yS236lRIPIY3YbfU5y7p2n0sKf6AZLyGh5YuypCILzm2xfFQy6MNIHz0qzMfEe05892Ot+xKcxQYFmeqqnbp53apHQkcnBAzHYr0onTE9lo0mUCmaqmZ/wUH8kNJg5Uk4zmlnyhS5iviHnlGlbJhoGctCuEyXrVD1+JeBzwnvI5uAmYD75wbpwMVYfcSobPlSRrjuvGK3+Ms89OfFpHJTvT8tLF3c+t6zPIdVuLKALlneigh3DrqnGtRa233SyAxDAjEbH57PypHZd1j3iKzOR50jU9utDzUryjzKAUZkrxka92aH63R+ExFvWF0B8wfyKt9AYu0jl5H1OV5dhoxDG8tqkej0yeYDcPpcOF3r79cHuZJ4GJfwcmL0eJbyt546De5AL9QANW5JBuJF2u0c0lXsy0FDNH0wcrZ5wsr/u9H+bGY0099FPaWBryRcmVR/0QYaEkpbpEt08psNZROuqZqchwLYrcEODQXFqcWMsQg0n4WHuMD7CF/pPJIYdUfeHboT0xGDRxz0C97/Zm8K5MwGdLdxqRTHHjKKE+Xsv6SK5e84BVcZdHeh97CVTZgfALnHWNFeFnj497PsxBFDqL9jUMh8pDOCGo+L6IQVf14YCpqSqay2h4eA+sZo65ICYjDsUJxsFmwVgC35IxZBbRzgpuFHTHPYdcQv6Z/cfg/4CVPA+EHCTBVUAk0fWc9nSgOCb1A4UH/hqoBAzLes3LJHdFTqYgUh77OpxXue/9BboLjznRFPqbqbUtZUD3NvkbyYxjrCmXGttHAC0brJsitytdRiZE4SWouU4uO+lUCfthDr0OPdCIkFYFuWXzKKY0y+WwpVZxKZwgZPserzyLjd94gs5/cs4gFKW4KaFkyhojSyLDqNnMay3DlXauh/hHSOGPrOu3To1cZP/As9c2ZC1dewErNLrPXcGaKMX1u8k7may49kWZ72mxRs14mqVmLxlODRqt+srOWzSrYgOEopZXASFVb5vRVsZqWMcI2XHf9abGRE7z6z6Z3435v4bcqCkYp/OZg25h8Hha2uP6m751aru7QpgZ5TNrP0jre7vDSKNWbmzKQ/87O1jEvAMijnSjZQfmJ0h0YyuXAcLTd20odEQeU55JAjHx24BUkSmM6JOxGNB+8dqalA+ZyT8t0b/XJzWj38qA+nbvnahzjjR04e3k/4jnrfKgnLU99AoWCDCtN+P/Y7Y9TK80dkMC+G3cmMs6euj/9yar2au79ghkNgct0ADtR3oJJp84Ja+/8aa0+sDCgV3z2w/uOrRyYc++TXL11kOAPtr88NUBGA07Mbw5Fm/OjYHvwD/xiXEFsUWVqn+BMdrE91EVXcrW0yhHGEwHkv2AJjXxBGm24qpJaS6Wq/ronfrp4tDIeUbq4/zswiJG9H70J+0p9JMrLg9ZvA4Rj0JGk1N+i4n7PSX5btynxFqN/e9gMCMJyt5ixgoeCwzYyOZBHPx++FY5pepJsPFuFH4vuyrDe3ZD7DhsRtcp1lGewI1dppH0t8XfAr1CBw4ZYQgfxY4vd7v0jqpcfBnU5HVUTfXsZaEsqPBH2IlZEWBLc/UWQ65eVcByqWNimh1VxU6rxaorrN6ZDnAqzz7boaWt3kO7fdWWhtgQzCUnrvsXbQSiqjDIJit88Maq4jxxnyCt/FrspGpCocEjBVg+zw9Q5+YS33vjvQPLS99aqGqKm3udMgY7MRNYKcUElhiVs3XbRnePJ7ajCGfB88/LE+XFCY/BKfLu+bFQr8LfhFQ52f8sZN4+FGEvvSoluBejp8djRF07yUfYtGCAn7zzHdDOzWFSSZx49w6gzUqz/EX5wpVmTpWp+GpT4+GfvrvpUyfpuAA6U7qj8JNPrV8A99M4FnNAndgMQq3eQEU4xTdFRM8bQYmbMXABbMOAeJUtZY79DR3+Y4eKm6sGKOjD+tgVP2uiZMYWffZklRfZWFtqFrhjAn90YTJYGRsIdr6yhCgD/UIrDolA3DjCFcGOQ/CIFddsxcAE2IFh+pkeDBwF2zHcojBcKHYHukUhTrjA7iZh0wdWLIyDbVjw8PIY4SJvzof1wvo6ZDIwCWaFpTgkGSnFNZdiBUlwCUbJKAFe4G0G/lZtoFC3Mllw1EAfTrUXFRzlbzTpK53m/sdhlXUflOFj90Ixfh3fFlRWTrStqrERDgCpt13gKZb4ebqoyrbTxRg4vhxKOEtx4nxJXtfVeYaYcececK1tsiKBmaM6cxOebgu04xAqEsA1Q2i38BnjYjQ+Ga0v7AtiDpn6LpUSnEDbT3s+9e8+9mR+7C4T+JEX1XPk9VywW9iIQzATp2ndid1rTochTThbowcL0+BiDOfU4lNp0/uw6p2/Kz4gnk45FcDAIXA+BvQJbTjkPfM1ad1iDw65jdhwB2yuh+aBTB8GfgTbsGAgy4Hnfyi/bhyCPXj4NmzHP7uRtCS6oyBdPOIn8fVxY8o7ur7sEqzgocCBBU8n4V79wbZ2z5F5X9mWPR8dXVZ4fJPf7/q4Zf/u9Y1HA/7WI7vnG/ZXAG4x2lTyz78vsz7O5Gr5yyvQ0ipWvxO3KPhADSUK6aKsXNVwYLkq/7UOiUcqg5dSfS+t1pHqOtKxrPD4Zn9AkM1pCOc3q3e3LuwpTB8dPqeoFf7vevrQyDlFvUjpzRPON4H+fvpPTkMshkswA1bUNdiNy/qz3Imv+X8dxcJ62IkZXqS1BcqaPG5TCU3oCKsAXzkxzRY8PEB+FEWe6/RV663LtIvvS5wpxmtBF+vg8YgULU3PtIpKtzQI8AEMTF/aYXS5jCZzKe0RHCo5z5eDO1gHcdHP58PeUEX0hZvjeGZrTmbKQm7KzyudwkxPllThaYZNvFzCl5KvQxayolZvvJCky5VLU/c+0dFUFAessMvEivKV2R6g+2G3MBgurlIawjwMYzDrLyVxPDHMDn6fstnJR+8bIyg/nwdmRX+Ba80rVq/WT7rOGTgdOPeBQ5JZrFSJKivlOWmqcK9jxB98KDOya1s/HcnSW41DdXZa0tC3i4plhTKkwfi/BRhcxrbnaAYgr6XhxyCfeLzUlJmto24kmnNBcLz/fZyLoCgZK8k70Nqef3xdmbcxq24UNdlMZ8mY1Ra1AtALD4UwvtJE4FpwuJ721eGQFZMYuBvuw4C0woMco4TjHrC4SP3KHlGvzFr5gqugF/NCOgSg/y8cPuhMM6cNfyRixysj51gkz9FdcB9mha3PanAjbHzL3pZcHIJD8vGrRv0rSkqKe1b3uPDIDcSA69gyt7EDxP4PCpQoEth1Wg+o1ZZN/XB9TuEUaf73YXXxrD3+VlZuInWaxnIg1gs0iY6DJOtdaDseRP4fjnhxo1+Tx2njSzpJ+bk4JB4pxw1/TV+XsK7r6wAOuYuocZ8cCWx4PDdb9t1hNR5EWJwf/gAJQay4CRw1j5k3iHPgkMuICvfV8NUWLGyGGzHgj7dSsMjgSPR7V+o7lBpjEVG45XDMD4sPDeQAzsz7h6ZRZL4YzRXayUsHvtAxSxJ4emcy021QZ3BEn8eSBYn03zyw1OBzWm+V5lDfPNzUrJFINFywRsXntPr07G0+uXLgPT3Te2lX96i1ZCqHmdB7Es4X2IRlLJipNL+kfx2vu1qyXMMlkT93YEzFb7f63i2eQuX82w0jTvK5/l9NLB+Jp7EwYlilKRJfdTWqLKulCAoUrHSkeshL0v/bylboq6UXP69Taf9y4ylqkUmm0LmCA28SLTA1RuWqBY06qUTNBcDaYnskqpn7qzNJmBmQK1Z5PblrBhwFujbSe185sIRRZIhbvb0si7djRYOjTg1op1VD3dYi9h9Hgjaqo6tKcnPtrbXLi1cb003xO1MO1XIkzlajrNcJPsNWZCg6Sty6Nf32IuGm96tw7NeJQWX3Fbyn10gkRyLt1WKu2Jqbwwht7thFt5Yu72x01KjB3qEqHPsNIqplmUFk0Atx5TVFXElm4KmJQtF43oBowNWmUSOZbfGASvfWwQL1wHK92ZueNoWfNO3s/7axM6rcrBigEpnkCq0rOADSr8jkH6pOk0pohqBx4U3uwaaSOCknq3H1m1Z5hcpeWU++zgKeqTF7ObR6y4ATH+a/zPvXNjOVmskkfbMVejwoqMjaHojLxBH82HZe9/G8kfxsVU1tZgZjtHLESuPvyLSNq8ePN4fBHDgfDTarL7HrORKj8ycFa3tEtMghU6jc9dzMqrG7vzAZhc1L4QxFcS2sYcf9RoxgvcxuK/catXKHb1ziWIkZyTmaIf0rR5lpzEb+7yEXJnOf65anVk7IZDlyBwjccGHZuyJRvutB+X+1COVKHT8hkB+rQ8P3YBU6LiNcc5zDcjCvdWjR8A34beCXe5mDfF0D4gFJcD5edj2n2PNZkBeJi0B/5CMyrY7BmD5yjBomlHI8jyjeFIkqv2MLgzGwHQ1W/9ZilzQEJzTOglCX/hyYk6rMT+lqyXsOb1Y9K9cnJlISSb0nkYEXAotlLGhFXfvEc1Bd/FaHWJhSYW298mTSor74wzwiSLOBPCXKb1iw7G2RkO8G6epdE4H3kGclzE59mHwOfgRfn7hWXRVpy0XDd+HrYNlvRqJkPRHV9jnku33Pgec/5+vRWzaeoj6Fbwukk+dr/TRbXpgABZtDwbIbdix7RyTKdys/DF4U66ch5FT2jvVa2bFO87T7jj20yR7G3hnVsscdCodLfVw6L/+im0VB0//QWMKx4SwSKToqmJKWLDDOXzJ/Rv2cQl1gZXbB6vLaxJo2YZf5HgyHHWh7LT+rFgbHO/boiZIpIrkgnL9SJJComSEvb/KQbB2PHHDF64O96T/GKCK0Fzh0I3lu2BCbi4Yfwmp0XOYi9QybZWee69BQ4Aao/U1dE0Hq9DDlMqFEqa2NMeJ0ocgd+Fw8mrh08VlHTu3b8HXQ/rsxtJJpIkqdgi1bepuydbyEcpeps7jfHbzDgQj8rN1HaPVFSkW46jiigGaBt+DnYHXdOLBSq+vu3t5fIvA5jemvG9taW3L68nSmuVLXZwKp8A8gV/5TmiEpPPhIDc3K9Gg05nHhnCXVZ7JOgW3XYhqaUXaQVqGhacZ9YtcsKTa5+tfk2hxazhrfEllC1Yez893Mp/zv7huHR8dIydy6bXRg/FY30ecoiFsRgjpU1WDhWFiPfcVAlEwSUeqMrwq50oyAPGOVN/ULNTVyVUM/w+Jb1dHorFOD86aQBb0fjD2ZHZEoS9CM2MERLP6otfJ6lCsXqe0OEyBgbOc2VSxLXpKSEPu/ITM5167hiNSlLDlPS9ha3pkVZSwR0Lg1DMonb5dJl+lSeCq+aUlBJVxPSuxVg7P3R1p0S4TaMX+t/bMq/s7rgUq0KH7905Tk29G59ByWTCVQOXY5Xxh+cc9CxJAfYmMIx9ajGcjfty6vDyJTFfTEaBJNzoSW5YZ+V21Tblf2GriqX5Y+H78Z7YrNgKYXNAtCeVMTOUFFiL3dVk/ngOrrzt18s0ZzY6y6b1/WvmXc7zzodn89jQPJ2pVnDFkGQNFXO3ainuTRsXKT5Asy+zXsF6bof3Yer8juNYBz6L3xDBCAEa+lop3Rw1mDh/ICRYTqaFqqjr6+Qx/OmcdD188z8W+NJIADKuBFrcKjz9zw4BM1VCHL1fxfjJEtEPHJfr7u54IzVIn0XxjxN0z0kAsGtonPT1WY6qJT9PzFFup0g5+HcyaRu8k9ZWWBQBm5l9pjZ+Xh+V/yzZue+ur88R2LOyr93u3P2KDxedCpAhczQmDQ0H2CD+/+yn/AN+PKk7lr02cLkzQ4/uf8hNnTW+huqT8PkYG1w0Rf1vYDiqQxbRYenbasJx44nZc+pFaCekxv+MDZje3Gg6OBUkzoU1boUMT7RUY85j0jsvZgNsRcI8iJYSS5NuK6aJZGdfh9xQRlUNCxGOPdvS52Lg2wlMuZtW/2rB85u4yOmZGgBweTwlvRvVLM8FvxhRjMuyK87tenaT3x7zOcY/hOgWXuCnZKghnjrMCuleLbLadJCcz0VXzYv+zfyF27j7v2ObifLA3hHYhAcZZ7xJ6zWZyqm6Q4QTxTrffx7XzYl1O7uqOJfdI9L5533r8su11/kinXu4ryss081ul70nvATqyO1YfkKmvKxELRSkz+sjEqRxyiDcuZD9ZukM1WSGcrwPxDF15CRh/JpbQ8DNH4gCL1GecyIi0LqMG+nD7vSpxYLbbivLU5tUDYX3hgY3kZutnQ1F8agQ37zYld+YU+Uv6lA5gAwl8hJRbEFeU4vxyTGZ2ZilfxD+dFnAHtetDuD11TYdxdBV5TaS/Up/naCpD1M5ljgOBl+VorfKwQGKIuRhYpsetmb/xkQCva/QWq7FKLcOCtrtceIRLdl2m8vyxFk2lleyPHzhdHbzNFIODUQ5NmSWt2DuKMe0uYV+wdorUt0PaI9pRuFG4kK6i2DyNzCI5IQdYdEfm7A80r303kC50lsJxjIEZMlh4PEyy+FB1FdH41E+5OSa8V1pZ6RV7wruWUSj2l7J3TaObUn1dsfdelfvbqPWZT/VDhusCSVdgRH56MCdhWz2esdIImvgv7SZ+4r2ulaOUZFx7+YPe/V8+U4uEHsAt/ZrloeVeduA4q2wtufeLHCp7dvVo4v+Gz47bOVV2vgs6PbJ1LRe789WCb0IqHh6Jfw7kEw6CzNqiyROQlBDa3LKd8478wihUYBC7s8RpRTbe1yOiGxXOx0Fc2XcCEdkRvAPNCi45bgHXBX6dvqRP6WTG0nkphO8U46fQRLwoOj+3rOrG6emF9Qz+qs3pQIC7H4zf+q9mw2EYJ+sEi9Qi0IeVA5cI0tYhaCukHWm3BIb0MVJRgsrW6Ik/X1CV3GB4UvCN6p7EfCyvLako9VVarriAxCkYbHhjADh+6jq7n26cH1QpWodacG6qLki3mZmpNQYMg2kT6/y5U4bBsbKvR135SkKsMY6Dk8Cj47GqGOiExL291aSc77Aj31HzxtcKrGRoy1ZK3sqSDLfsf58x8yTWw7/8Mf8azs7vRrC2ayJ/9+J+VjC270dfHMXAn3IcBZwR9mL4tKbItKW3HGxR9KITxqibidgv2lpJ6/HDI03Q7KY9jx83rTQHfLj4m3iY83CmqT+pU4xEIycczOxedI+UbloiAeL8HQyidfjxyD1HhWZ11olX8w/PiBUd8ZX58f368r9cqOnxbcJjIPXyZe7iMvTWMu7WqBlVxkT51fOqb2odJm0DPsqlOwZgDGt1uQ6Ra5cgCeU33D/8kwHnecC2Gf2kbV8s376DnijWEticNVHUE4t6NPGwgACvN8kow5tZWZEM3zQVb5oIwDxG9MmIvthXMRF9KoJJo5CckWhzjs8skwl05JBMwVpj/fQJ0vEtpMX6sz97xsQoCliPbP8lTqseWlYFtBVvOqiXOjpbCk9TdJ7/n97bWgkBhiidLuV/tGRMkRhZ8AlB+pWvOdKyZnpkunjoL/js1Y1pzxj5xugPwY83sFBM3JlaMC+VCiUTOSgwSUQmc1DwTRwDsPQ5zVvpfFirb5DBmqrwmXSnPk/Yaj0tOTX3MA29KbwsoI8O05kUJH2tTj2zmJ1YP06bD4w/cZt0EY5lR+igQx/8PDvP32Y0HBKMPyGQs5R+67Boc39CDE1YvxqdzQXygNCnp19xZiLjg/AQA9O5gMi2PTolOoBczIaA9OJ2PiSkWfkeiYWhQHku+ZQzo1+aZCjX/J6kMgNLNQiVQZfTExSSqngnAS7jautaGDM//DcbFWUPzduS1gMUBoH92n/bkjM4NTSaLdxTnrH9lag1Axf0wPD0xVD1S3TA8A4Auv9tf3znq7B7ZDELoRZFbTQg1YSFbmrQ8womThOKzNJ05RQiC/YJKEDHil+ssLolE6BHajsqpGSUcDJ3MSQWoGff8gUVT4fFTm2/+uoJNrVq2yEuI2bnp5t1oDsCsdacaUgHWi6FRyPSt+ckfFtX+zld6lXqrS5NhYJzj8v6XkvQplx1CA8AKwQCgSYAKgDCX4ijs2EL/FT5qyGNSeLRQG4Xeult8jTHqqaxnNa/BVcNF6aCjpRB7Kb10SdWsesqMMQaTktJF6RYKtWMmIadSWgvNwEChjwwtqXUkI+JHD+0dE7S9E04gg8xNkgC+oFAzulfG2IOzmbWuJvbKuT1qtVwTC96/q0hyFP9f2TQv9RzTvMxnhoY+9ATrLu8CGTR1kSi3QIkMzdSapMi82meU3waoQSl0jlm8ktqzdK6q0hcp/UoZM9SvQLSQnkIfGUqrNaZs1LJYyNQmtccAjVDoGLlyX3e+xHPoqWzUFz1kpKKOBGlKE/lSJC0PH+A+xxYsW4RCndS5ptoSIkJk47VeGafQp1ofAVo1JihKG2MKUYksDLntY6j35twA2CO7N0XSOcez0a2sZxNHQWu1ty0hFkSCm8GRHwUCFYZdHquSdC5EFuwIbnZvnd6vByOQs0Amvd+WYAHj/r0Pfx+yROom4Xp3lnEB9urj5DfP/rOuR9Da/WdLvIJD+neSvmpT6KFryG+lVEKMDFlrAHSOM6gN+qUtIRgiMze64LS+NDevSAkJcczgrG7EFPxNZGHKB71qez6oLq/pLYC3UG/K5ydd8l0iMzashvUbgShfhQWXThQaC4hDiAQdqZNI3eJahJhCLCJBTg8cQdEAKBo8/fvBy3G2ZGULK/7lzJ23g3NB7THw8eWu3X1kHc2v+PCd4tZ4nQFujMhCdsGCCgGJjBher0PSbAGjeAJ65QtjigUWx8VaGEL7sJ0tVlSB1lI/d3wUQ5jlAftGBFnYjASwxW1pXl7l5xFDkYQ1TG5PYM+NKgABUaZZMZSVUVIkdQ+vnAZ0OyKYphthkRh5aTYxERBT4ZfqvidHt2IhwWRJPiyo57kuD/h8xJqb8OcZZFsQOSgE0x8xtZtB6sMXvJ6qMCYKWMNkA8d1/MupDXWag1XlwojUEssJwKRrses9qo1KFLCGqcwTZEuRS75H8oOVLJcYd1bDDxGBBXBEVaBEZAFEjBb3MjORtcRCAZSsvrpj/ZAPEUM2q2ZsmgWOJcAa0GwoHkuh8U6DU1QN42UhClnQjBl/GG5lo7gRfB5f88VzpC0ty7OsnwvmR0gGyts9KEn4QAbyCjg45UAxht8C6alxS2Rw7q832Q8ZgbNAS6ECCXICx3nvjxMgA3nwuMDxW9qBj0utoYlw2YmrHS8oAO3I/k4DHQ2DU81LcyYzIC8gvRo6H9tG1XU4PPQmX89zto5Q6VOECkoPvUC6qGRwnP7GxwDGMHm8CMDpWHrVEoh7Ztz+Idd4NHzE9bWCYTdCpu3ekgu5A5X6xALGMJV6CQslqJ7wgQzHAzTqhZg3lRw3zPEGudoXg+LXoQxlgfsllme6Hg5f6ZOOWYwsxbanFciHPDiv7u1+avNSCEJ8R7PtMegdPwkzYAWaD2QAx1Dk/K2CAGAMfPsz/9Jc9n+K9CAAfu/XbK77MfhN4+ePJXKYA1aBAgAE8DkNOUtbCDwfEgi3lin7+DlA/3fcvks6o+dZf1IqZKBz4W3xJPTFnuK2DCpeQjoutI3iNdyEsQHntXG5dzLhMo6unKs5JIlggUqDY0IJJx0co66+72sWAVjtzjPssP+N+bdrjPI7oQwyhzu2KJoYsNgwSnfc38CA3xrHEGz+FLyt7mTF6N9D9EY4fgPjWUgJ2VqXidvBXO/YTrd/Z7c4EsaWwrj2SRWOA13Wz1tMQDc24VTciIPnHvPsVNNwHuyoGag7zWU41p4jnEoDrc4OSJBsx0kAFei0Q9HNRg0q1fJKhoQPobfyeVJlwVZWaNFvSDuPj1iFfi5BZ6N4Q2gn6fmeEj+uHKIQRzBdl2K6fX0Bf4tfsDD5Xw7XPFR2lldis4PR991O87L+LXbC7Kf8PNUzxZGJwz3KsEw4Ar/E250s8DVgL5CcbahnDJnvwvMYJO8jf8liaAYR+THeIwNdz8AzATbortb2SIt6ognd3K09Wp+u6p1mt6m17erG1vVmS3uwe3q4B8rrtl6uDwRAazhAEZXkgYKIDcIAfm5XkAMEwBqq0YDklAGkQigWhxDH8OIoLMKviwchm4zFg5GK7+IhIMFTQ8fQW110GbrOO5y33TFN/jw3tsotGpNN0ZNV7e21AYvKM5vEYKKWuHq6ihCbehB65KFSwPRD4yJSqt5pYIS8efLixdvOAopNvtb88wV4yP8a8e7kpaN5YHIJaFUvysJjv3j1BQnCM4sWVx1TAFrR8govxkIadFCC3HTN1r230gQLmEwWnQODZ6IMNfIL1C56+EbP8xveeoCcCkl/2hoIHVGFalL7ymIRCzGczMzt91F7T9BRuLVnLQXhbztaA0QBhSCwFETkiDxRIIqYSQlJwhAVJPOJjGwSNaSIQDRwI02iJaIiFaXFOChaMYpVnOJFwlEJNETp5J6boqCiocdmYGLFSZIspZcO0qTHZcfjxOfi4ROAIYRdzENEHCwhJSOnkCFTVkg2JRU1TWutTahNrJNLn8TQ5T5sZpLHzMKa1MbOwcklP5mbR4FCRYqVKE3h5VPGX2Z57zupQqUq1WXVdBVQl1a9Bo2aNLfDtXRatZXbP1iiPb2lIMK33AorM1hltQ6dunTryag3Uy9+8CM//gLKMyxIcObOgUKFCRchMotp0VmtFZvNnHgJEiVJ7lK7bJSaw2bpBDJkuud+Trs89MhjT9rpaS77czsgS3Yeh7vSx1x58hVU4FVFipUoVVaht1WoVKVajVp1FTupAYLjOYtiOEHm4/OkNMNyvJ70TCQQisQSqUyuUKrUmn70m1anNxhNZovVZnc4XW6P1+efmp6ZnXv95u2bKKywLAFnvZwlstHeqDbEA/G+qRGDbmrpE7zYWhOfRolYtNbHBO/dMYfUh/9lurZ/AF6R8EUzhpWvHyTFnkETQgohp262jjJ7aFTCMs2qFGSvQXRPHrEwbj0Zc7xFM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) 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) 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) 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) 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format('woff2');\n  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;\n}\n/* greek-ext */\n@font-face {\n  font-family: 'Source Sans Pro';\n  font-style: normal;\n  font-weight: 700;\n  src: url(data:font/woff2;base64,d09GMgABAAAAABc8AA0AAAAASNgAABboAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGjQbiHYcNAZgAIUACtR4yyALhFwAATYCJAOJCgQgBYR8B5djG8BAZYYYbByAwf5mesE4ZgEbh+chdij7/zMS1Biij7EHoJrErhPWcWygVNSYa9dgDJUiyRGpdHIOZUKqjE9tS61978fGpaANhgto0+d9q6psGnSEWxA0UOBCS5xw8eg8VXXtG37Sch+bJrqvDjNbfz+/33P2XG360+Gerfu/6f772Pi0EZLMwsf/fv/bM3PuN8M0idefUEuEKl4SixyJZJXQqG+OaM5m7y6meAqxC3wcGgMiQAxNUA9mFdJSMaFqTvXf6Yv4T/urhUo0OnRwAlTy5UtoUEmS5sOz/60Wban8z1YYL4QoOykw35d9ZYKtc4eRePq42NvtIA7kziDRqJmSOJDIQ8qiEkv6PED37o/G2C8KdC2wAAdYlnvKd4ObW4maip33nx+wOXDOgQ4Qq+uZBv/QuQ5sBAk2jaQRz3Skkf2Zvt1ernKSo0oRmi44d5jZx98b3OapLF5EM4kSbk1rQKNK4qLu//+pmePdl08QsJyQrdE1ePKkckFrFegpWL2j28DzFRONnaFzeu+4GMOYoNMWoAIEIgDGHDgwO391pXCqTkO08hfHhj/hU0HpptZa3UOlfeQTpb53QoHSmH0xX0x0F/EsnghJ0/MJ0QjpQ6eTzaYTGkPohESshJKoBZ7///NTk7dzKGto+jF9t0Bj3O9HJ/UCFTyxIle0JvW/ljXb7+b+xZ6qG1JuYhCSJmR7kugQamd606e32e0LaUgpO2TWFMKjYhAWhY3Gg/AenldO4qb5aXwCw4HeA5vhwTIrw3i+Wjmb47/cLf1am00xrrlHyEiER4KpNO2dA6NiNHlr3k8O+LJXrU/qGk4XHw7ZmKhUh8Xo+r/1JSIAVgAAMFABAxwQKPwDg//8h0CAAAaiIioQiIEYQAACYAmKBRGeG6wKUs6/uQWG6zdrQNzttfZAhACAggAfGTFGBMDe+Wie6eJFD6CEwA8ZBgDB52gabECAAbAAGKxHACiN0yjAhUHXGDOongeVPxi6J2zYGWJhp4Gwkg5s81+1MrUiXfSAEQbhMMCAAwo6DNCLx4QatWjQrh0TOozAgPHGY8MMSyBYajUM1tiGBdvtQMBOO+Gwyy4E7HYMDsedQ4HzLqAnOboOHnqghdd+KOFTPBb86B+Uyor0CS6ECyVBwVg/pb3RKNR+Wvkg5qDbVqFKWxG7weTtct6IiKLp2GkQChFJcslWqbwzl5KWoVkomiA/dSULtykrCn74LwYKKCQCHigVqs4FMR4qmmDquO8prK7YGBAGNhYcgYKKiYqJBmOgp0ZBUwX1a7mgEA9BgkQ45CrBgFKlblSn7cl201F6CgQf26w/7oKwNUgGREAvU3oiQqB+GrChfqGzAkvSW+gtpl93r5gnJgumMD3jMqX9aHBAHWR3iPEDAMDBN05fA0MgDkQkAuS/UcCHg6l9HgqA57kP4K7726rFEBVgFg3HCRzDiDQgMHz15SMsACnpGrLvqgN5JcHRBG2iQj+4PzoKhxHe+WsRRwTWxRe8bgLE/FNdNq+goamlOwyFIzFYHJ7dn8AQKAxWb7ney59GgKOcNq+A5GBiZu2BRBPJsd8z8EMSmUKl0dZXZfTFEfPpZruBn4/1ss4A/Lyv1I8XPn69Dl/+W6ZMAAB+fPEWr8vPnRxt00NCwVtX+T3xqSv+1fYPGyZSSK9ClQK8MdMcc80z3wILKcRSUlHT0NJZapk11tpgo00222KrJMnsHFKkSuO03Q677bHXPvsd4OKWLkOmLNlyHHdCtYfOXbl249ade53qNWrSrEWrNrPMtly/ddbbaZeTTrls04VLT569effh05dvf/6RKDQGiyP62W9+94c//eVviyz2nkevJrzlFy/OO9r9b2YBxEQc+MIvwoIfGBhZ2YwMgaiIDgcdcsRRhx3j4+fhDQXREAPuOHLsxIoLbjvVrla5CqVhITbC4Bc/+tUrRfkKBDQYHxwhAJAOAFcCvABzLcDCGmCFD8zvBoAJAAMOCBAgwAAD9P8gCOkQ/PMA/U8GPkv+HwK9EPO9+596WDEjMSPGhEJBaH0w6odh7wSViuNMunCRzmYT/BUOnX+sIF3RHxjUCiErsvObNmQjtz+N2N0q14zbUQhZX0gYbmGQEw9ZRNZxuUcZbIItLI6wFfYOAzf0jha6pi60nn8ECsF7JcocOKtPitHm3oFRQDvy0/ihT99QHMy/d0QrGt/vsPvkwvZmy298ABp3pp84N2Wo4LYtWt3BDRA4uENrQ0CGFm7mptrSMlz9fjD9//MI6Jsw/veaP64+sPseVyDn4WA+kh82AGn/NxwP/iMl9p2Mw87Er5cIANzYx6O0aoNcSCIVoMvCKf2hz6FMXSAvbbOl5S2CfxPGO1IGi95T/ruA3Vhdg962ot4PX2AApaifBak3yo6x/D6F7n2G/3z4Z7oFq0nJxM36LwIJL05oAwqp2w9mTqSQz7qdr4nMG4V3sKcw+fA3euAuwalbqrrTFExev5u9ZsFuCi4cQl6eIP4FHRn0SEhgl4zritjHqMzLzB/p8vEZ4EuRzS99jGukyTqkjxC5dzoWryYk3Dg9SfpLujaYJjVdo6G7B9WeNUqHdE3P8NAkS35CE6XMiJuSpYGU1Msn94hq1ZNqPu6qPzoXXVct9Slv3aFJPUJR4pSQmNO+E1H0gGS0LYTeKI6hU63MtE/d+Fx1uqmThhlkYCsIJmAGlg8zsDCYgXOOGTibQx06T0McOgOZQ4Skp7ChSI00rd+h+IQh+qH63ShJ34ohzB24vFX9hNw93dHPg7ETL2+IJsu5J0wOQ8Mf5IvpIWqEymNgDB27QYb9yRfMJGK4jQ5ApKhBhUBGKetUxUhdYv3Rt2wYykfrDj161ewUzMF09ATwmLakYC13l6TeVcGx+w+dD5vollegGUPilFIB5Q3RKLkgyknZulrFDY3qpBwBcQo6+4X9lZXb43zKAKEMKH8tRO1fu37zA7Wna8/4RvbWnIFD09/G/5Fo8lXL1aCuPxe8NS6/aPsS1t66SODXfVjbGZ3qTdVoCycR0a5sp9tdNEKZUTvLa2GQcRJT+u6iseWa446itm1WL6JM/7Xwgx2eixY7LP//8e1nt3l9zD/xvQ4kLJ9RkL26ozO7f0Z7eXlB2Ss6OizcblE2ye3vbWjwd7uV6pb39gb8o8ZgnLcqz+cN9Oq9Be93Z45pM/558sD0/GzbgaIVA8G1Nyzf57XXi7evfXb0N6yRewivxhNdYanKmjOjraKiQO6tyhJTofaUED19rA6xYYSvxNfl8eAXXOIbOkLckXWqmj9kYIIA/jiga87YQkewMSVZna4LErzSpbfDXaGj4qK2hfF/7XbevB1hGngPzyow9cl6hlBLxKVWeZIrO1PrAoBpbbIUt9GQeI5oqRYbLtTHJGkrRBnmGkBj1kZo0/kG6KuOhL5jEYkchshDNwoH/SgDILuEtRH7TfuLLKtkom29icvLY/DC1ukMIv6kCkx5zo6aT+E9FtyObDGU9DMsU8yz1ZHOUKpwJL/rt3HgxNRuuytYWOTq7banpnXZ3b1Fhe5glz11dLzal+ZU58Tr1TnONLUP0Esbhzj6OpPcXeNm9JVY+2pSTBJXxEEl0RmeFx1r8vpmlapMWamtrY/AjNnVZnVdColnKpR88l2U6SAllHaDcrZEqfL6ErhdAtdCMSt0Ysrk4BK4YH/b7KlJIZXyssK5xpy47hSTOE3irJE3Z6/LbpabXonDZBkeJcspcs2alRmmGuOfUj+/WpurMhLGDBW8S/W03XTgtPV4gDBxKz+rGmUnaVVFX8EpAZ3xwEj5HpU2O6kaXTfs1gxh+AkKLKVrdtQp27MJgiEDMGza8bzHz/zM8RF+5eZn5WAZSQlkQvVRTIi3Q8v/d20zKYFMEF0Odm3h/srHx31rkYV4KzA2XbQ+TvRA6tqfAbH5xVwVC95++TuSnBghOcTld/15L1dE8ja747mMPz6ucdsXff5De/Z1venC0qSSWE+srM20/ZdvFCtxSr/S7ZvnOYb72yT1UDWsQkelj9IfTgSwClnkiDCqsOHzqyl/8xB99+JSzY5b0rqa2EYkjW0r0glNQhpbctIJBRyeI+UYlufs7u4sOb5+RP2aEwAn+59vCJS+u9FlZCR45RMFBLJ3cQhISyNdX7rcPBnaKgL5UrOty6bwUu8sgIk1yhogkyH6WkCpoBI5izh5k5TKRakKq+/8ShgyBV6qK4/Ts0wuX9YDCGj3BYWCM+RGvtB0lN4fQHlOs7zzs+0lun6bqBnybAGMXrDVI+RvJOFERnBFIk5EJEck4o7jp3HId1tCtdciz6IiI+4ImH86sjxWeQeTQgvx84n8ek5u//NJqJafOZBmyd8twODL9SbqOMWHI/P81hAYJ1vxvsnoWb9ZlM8Xh5JRInLIEFIURV46ex+QlF8fbSO1fksBohY4EY/vf3o3+t3R4ekD0LQZ6S3egVgofRe0bMMTxE7Znu4+zjLs9CvNmdGe47zAUdnU8ljVO+a6x7uEO3HmaRuf96NkKyhAfouWtLU8Dujiyd4dFU6Gs+HiQDJx0Xcp48ytTUHb2323O0omhvqfEg8KACOzGBQDXiSMwxh4kCw2wF4QKKho6APjNyaGIAskCf6dH+dwbqOnHjse9J1JQMAL0KXI2L0wLkatesUTPzI+Ld0YNiRH+JP1F4Hnjwh9nxDfPYdym7AOG5/Cs3hivTwxg/chbNtyvWsVczi3gfDzkKVfgjdC9oSwCd1Sgko9iahUqdJF5LcNg/Atklf0EFlRUVFRcYU7w3GwzxnOXzHwovMD4AmizpklX5KkCMkSspYiEd65gM9tF97eEe0Fm/oiZH0JxXkK/9xM4ieiQsynDfjOO+1DwiU4maKwILHGT8o5xqgYoqaKhnLSzt5WdeHb+JIUw7lNRuzexmEwKd4k1eukmVidqVOYeqlp9Hua/JZm36bFN2nV0bUNW/QJl6xEmOUDimpJU9iG0xHrmPuKqCuqJc2gxfeVXldUS5rCNmItOZd5ePmAolrSFLbhdGged25LzxUVs3xAUS1pBitL1UVkXax8e8uR/8pfIdWSprANzenwuHOXzK3/kH8MRbWkKWwj1tHHn+H7+vvK1w8U1ZKmsI1Yi4/fvP1UY/UvygcU1ZKmsI3Yklb2lx/rf1E+FNWSprCNskcP8Z867vUplKAFc+zdjPv8wAmmIinAxflY/39Yjf9RF7l+/NcHHAX0AHYnHofngwAUb0WmTrbstoFegL/0PUmX1PPjaP1gT/JqiATfLBCGggp6YzG1VN9vUFk8494QbnMO6Qpv9nmmOiE2LyFAxt4eG5MBQwXa4QPez/lcCrkB3DLphG8lNbkWIjOZSAM1wP0RS3/QfbpP62gtLcWSmHUx5V3CbZouJTVdqkyqrN1xcLE+RZeGkNSlxOVrVajd0VAKG1ttMf8lIG/5wnKzr3TKD3OSNrmNKdyzXGkwuF1wYVa6BblBbmrfnnyK4kvz7zg9X0rAC5rDmuOSMbBNQMuoQgxUAlyBj3yBKrnHPNXjT296QYhtl0jIQE5sObHkhMkJybHDAFAaZ03daDWhJHHiWAqjUFoWSx2Koc4LSQKddU6iNPmhP6cDVYMtugYDEgRWup7fd1WMs0ydfiOBzjonUZr853qQ4GDFhkTlegt6HFlxiqzWHtD6qO4j8aHBJdRgN8YlH/hURn9eWcX6QE9Upgd72j8jMryn5mRY4yjWE4UoRCHKVWlKx9RZELJLgAZeX1pDBZA1jzmJ0uSHHqTPqw8sLLKmDJRDfTUkCXTWOYnS5Jve2ed0nv5BGJIEOuucRGnyvQchnG36B2FIEuiscxKlyR/gQZxDfFX/hCFJoLPOSdRM+caa3SstVJ+XJ5zg4dy9vinyWf6IWKqKq9N+FLl9wCnU4OTucTXqqORpd3kdGsDJzU3Us8jw43XWpivJ6LILCeyiQACYNXPWPk8BZP9fQfgXKODDSUEBfL3gt7DV/747P4IABwwAEEBezV4UC6sdsb0XBMNXKdJHyXebwo7mXYO/iiK2+uhE7Uff4pTzv+yLOUA6UEsz47WFndrTgtcVJ5Je21Uw6n35W5OlXYQiL7HWgCU6nFWhaDKOhqLpVzi7uDlPLnZPBYnDYinEPMdasobprqKnnJaKbx3V+1a6rmQ67ujhdnC9og4eeFRkyUTy5xaf8QfAez1Tip4G6HHBaGUSGRR7rfdIRTvaetj/F07yzmATCLcd1UW5JeElc/N5ZfGWH1I88P692HdztmTevIiYkYqK7InhU9In3JVo/MQWn78s/uQfFN+n3UVPb29sPieay47iUV0YVUAhF/h4kNDu29QsnVvRWZm49BNHQQi8MnaifuxU3+JdxqMdMkgQgXD0i/6kNjf0aQnycqnUgGVgdCQIle+xwCkOwu7j0rHAJ2Sc0Kl976VrQb7P8r1286hZvsJ5Y+18fAYsaLavcG7VN/hzt17DeeAE1uMjFLsihxo3Diinijd12j7AlsH0Dan0WievIeHYyoeD6GsVtR3vVo+a7FiH29j2LnfmEqW6f3p9yxppX6PpH/SBAKRjCTY0ogGC09MH4AAsQIucjwgGAO+SP45BII5hDAZ0pB6DQ7q3YwhQOj+GAk3Kx1BBwXQ6F0yAp4KihrOKP7xXo5HaLQcZ6fVyl/KwA271Ds+TzqfI8qjc3ai5dgf09HC+vHsYHZdhujQp1WxkbIy395Ay0EtgYmbTBg6mZCuPzsFQ1mt3gmTv6G4BnZoDuIXrx2iOZjO7LcxE8mUaytILJ72olV6W9tk7ebjksWWQDeW8vNa7fj0J7R6VNiGPjJR1HpLYObl+mIYYHps4WG03p1l6zEhHGv5iA9u5Kd1JWR/bt2C9mxey+ijuPu5W0XZHfdq57Z8LHdtbBTdayKYbjuCeXAHdOu7aJvkcvV0TPQyGVTUR1iQdLr+Vnmpof1tbvaeTIzjzfwWNzmCy2Bwujw+AEIygFCqNzmCy2Bwujy8QisQSqUyuUKrUGq1ObzCazBarze5wutweLwQjKIYTJEUzLMcLoiQrqqYbpmU7rucHYRQnaZYXZVU3bdcP4zQv63Z/PF/vz3c/zh8EIyiGEyRFMyzHC6IkK6qmG6ZlO67nB2EUJ2mWF2VVN23XD+M0L+tmu9sfjqfz5Xq7q5pumJbtuJ4fhFGcpFlelFXdtF0/jNO8rNtufziezpfr7f54vt59TFq85Tv3/YqqYTGtNrvD6XJ7vD5/EEZxklaqtXqj2Wp3ur3+IKFi3tnl5XI2NaB4WW9rk1o+29z6Pkaq6X+Vv9HExlU/nk1VbM01alhnJXR9udwnlzNT22Gdw4rrv/WzlRdqltgaMMz2VG5fbmp2ydzkUHQO2+r2gGz90qO3lW2zXWXYztk+9SFi1fsUARfMxSsjWRBSaZOttHijD9Vr7ROdUOlJxiNWJBFCBzLZyYZ4N3Szf2ClTS9YvAXEvu4+0QmVNnW8wyUPR2drLF5qQ4PoZDFYaZPtxDRzXEilTbYL0w1cSKVNthczDFxIpU22AIJ1oRGoGcShuZUAXzARMFKgMIQQTgKMWJKDEDoQze3yJwMNSZqLMcYYzwZAinBuCYzULE4IIT2+6YPXIyWSzvY8iDg019QARDi3lQ6q0pRSSqm9JU8DF6ykSBlh4tBceSsuh2AVRcoJE4fmqttyBQRrKVJBmDh0SH7d10/f8/35+8+mh3X2tvM6froLrw1jrB1doEfIxCflqqOfdGNceWDlX9CPbctZznIfWPkHGODl5vu7Bo/YjJLXfH9Ajxp/Ir2/dxve/0wRup7fb7CUfx5v8hN5r0tcAt7yEg+wqgU=) 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format('woff2');\n  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;\n}\n/* includes only the double-dagger glyph (‡) */\n@font-face {\n  font-family: \"Roboto Mono Dagger\";\n  font-weight: 400;\n  font-style: normal;\n  src: url(data:application/octet-stream;base64,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);\n}\n`\n","<template>\n  <div class=\"container\">\n    <div class=\"year-banner\">\n      <p>\n        <label for=\"year-select\">Data Year:</label>\n        <select\n          id=\"year-select\"\n          class=\"hcps-year-select\"\n          v-model=\"dataYear\"\n        >\n          <option>2014</option>\n          <option>2022</option>\n        </select>\n      </p>\n      <p class=\"year-description\">\n        Changing the year will clear the selected questions and filters.\n      </p>\n    </div>\n\n    <div class=\"options\">\n      <div class=\"topics\">\n        <sidebar-component />\n      </div>\n\n      <div class=\"hcps-parameters\">\n        <div\n          v-if=\"!isLoadingYear && chartData != null && chartData.data.length > 0\"\n          class=\"topbar clip-required\"\n        >\n          <div class=\"row\">\n            <div class=\"col-12 col-sm-6 col-md-3 topbar-option\">\n              <filterGrid\n                :only=\"['showPercentage']\"\n                :label-position=\"'vertical'\"\n                :clear-button=\"false\"\n              />\n            </div>\n            <div class=\"col-12 col-sm-6 col-md-3 topbar-option\">\n              <filterGrid\n                :only=\"['confidenceInterval']\"\n                :label-position=\"'vertical'\"\n                :clear-button=\"false\"\n              />\n            </div>\n            <div class=\"col-12 col-sm-6 col-md-3 topbar-option\">\n              <filterGrid\n                :only=\"['showGraph']\"\n                :label-position=\"'vertical'\"\n                :clear-button=\"false\"\n              />\n            </div>\n            <div class=\"col-12 col-sm-6 col-md-3 topbar-option harness-ui-filtergrid-row\">\n              <fieldset>\n                <legend class=\"col-form-label harness-ui-radiogroup-legend\">\n                  Download:\n                </legend>\n                <div class=\"topbar-option-value\">\n                  <button\n                    aria-label=\"Download chart as PNG\"\n                    class=\"download-button\"\n                    @click=\"exportToPNG\"\n                  >\n                    Chart <span class=\"badge\">PNG</span>\n                  </button>\n                </div>\n                <div class=\"topbar-option-value\">\n                  <button\n                    aria-label=\"Download table as CSV\"\n                    class=\"download-button\"\n                    @click=\"exportToCSV\"\n                  >\n                    Table <span class=\"badge\">CSV</span>\n                  </button>\n                </div>\n              </fieldset>\n            </div>\n          </div>\n        </div>\n        <div id=\"dashboard-chart-container\">\n          <template v-if=\"isLoadingYear || chartData == null || chartData.data.length === 0\">\n            <div class=\"alert-message alert-initial-state\">\n              <p>\n                Select a Primary Question to get started.\n              </p>\n              <p>\n                After you select a Primary Question, a chart or table will appear in\n                this space. The chart or table will be updated as you make additional\n                selections.\n              </p>\n            </div>\n          </template>\n          <template v-else-if=\"isChartNoResults()\">\n            <div class=\"alert-message alert-no-results\">\n              <p>\n                No survey responses are available for the selected analysis. As a\n                result, no results can be produced.\n              </p>\n              <p>\n                Please adjust the selected questions or filters.\n              </p>\n            </div>\n          </template>\n          <template v-else>\n            <chartGrid\n              :columns=\"1\"\n              :only=\"['graphChart']\"\n              :class=\"`clip-required ${!showGraph && 'hidden'}`\"\n              :aria-hidden=\"!showGraph\"\n            />\n            <chartGrid\n              :columns=\"1\"\n              :only=\"['tableChart']\"\n              :class=\"`clip-required ${showGraph && 'hidden'}`\"\n              :aria-hidden=\"showGraph\"\n            />\n            <div\n              v-if=\"chartData != null && chartData.data.length > 0\"\n              id=\"dashboard-footnotes-container\"\n              class=\"table-footnotes clip-required\"\n            >\n              <p class=\"table-footnotes-header\">\n                Notes:\n              </p>\n              <div\n                v-if=\"chartData.footnotes.benchmark.hasBenchmark\"\n                class=\"table-footnotes-item\"\n              >\n                <span class=\"table-footnotes-benchmark-symbol\">{{ chartData.footnotes.benchmark.symbol }}</span> {{ chartData.footnotes.benchmark.text }}\n              </div>\n              <div\n                v-if=\"chartData.footnotes.subpops\"\n                class=\"table-footnotes-item\"\n              >\n                <p>\n                  {{ chartData.footnotes.subpops.text }}\n                </p>\n                <ul v-if=\"chartData.footnotes.subpops && chartData.footnotes.subpops.items\">\n                  <li\n                    v-for=\"subpop in chartData.footnotes.subpops.items\"\n                    :key=\"subpop.id\"\n                  >\n                    {{ subpop.text }}\n                  </li>\n                </ul>\n              </div>\n              <div\n                v-if=\"chartData.footnotes.suppressed\"\n                class=\"table-footnotes-item\"\n              >\n                <span class=\"table-footnotes-suppressed-symbol\">{{ chartData.footnotes.suppressed.symbol }}</span> {{ chartData.footnotes.suppressed.text }}\n              </div>\n              <div class=\"table-footnotes-item\">\n                {{ chartData.footnotes.variableName }}\n              </div>\n              <div class=\"table-footnotes-item\">\n                {{ chartData.footnotes.weighting }}\n              </div>\n              <div class=\"table-footnotes-item\">\n                {{ chartData.footnotes.compare2014 }}\n              </div>\n            </div>\n          </template>\n        </div>\n      </div>\n    </div>\n  </div>\n</template>\n\n<script>\nimport { Hs } from '@rtidatascience/harness'\nimport SidebarComponent from './Sidebar.vue'\nimport { mapGetters, mapState } from 'vuex'\nimport { saveAs } from 'file-saver'\nimport { prettyPrintPopulationSize, prettyPrintProportion, prettyPrintSampleSize, safeStringForCSV } from '../utils'\nimport webFonts from '../webFonts'\n\nexport default {\n  components: { SidebarComponent },\n  name: 'TopicPage',\n  computed: {\n    ...mapState(['isLoadingYear']),\n    ...mapGetters(['rowQuestion', 'columnQuestion', 'filterQuestion', 'filteredRowQuestion', 'filteredColumnQuestion']),\n    dataYear: {\n      get () {\n        return this.$store.state.selectedYear\n      },\n      set (value) {\n        this.$store.commit('clearRowQuestion')\n        this.$store.commit('clearColumnQuestion')\n        this.$store.commit('clearFilterQuestion')\n        this.$store.commit('setYear', value)\n        this.$store.commit('setIsLoadingYear', true)\n\n        setTimeout(() => {\n          const hs = new Hs('topic', this.$store)\n          hs.loadData()\n        }, 100)\n      }\n    },\n    selectedQuestion () {\n      const hs = new Hs('topic', this.$store)\n      return hs.getFilter('accordion')\n    },\n    chartData () {\n      const hs = new Hs('topic', this.$store)\n      return hs.getChartData('graphChart')\n    },\n    showGraph () {\n      const hs = new Hs('topic', this.$store)\n      return hs.getFilter('showGraph')\n    }\n  },\n  methods: {\n    exportToPNG () {\n      const ns = 'http://www.w3.org/2000/svg'\n\n      const svgElement = document.querySelector('#dashboard-chart-container svg').cloneNode(true)\n      svgElement.setAttribute('aria-hidden', true)\n      document.getElementById('dashboard-chart-container').appendChild(svgElement)\n\n      const { width: chartWidth, height: chartHeight } = svgElement.getBoundingClientRect()\n\n      const existingFootnotesElement = document.getElementById('dashboard-footnotes-container')\n      // I found that using the exact height tended to cut off the bottom line,\n      // so add some extra pixels just to be safe.\n      const footnotesHeight = existingFootnotesElement.getBoundingClientRect().height + 50\n      const combinedHeight = chartHeight + footnotesHeight\n\n      svgElement.setAttribute('height', combinedHeight)\n      svgElement.setAttribute('viewbox', `0 0 ${chartWidth} ${combinedHeight}`)\n\n      const foreignElement = document.createElementNS(ns, 'foreignObject')\n      foreignElement.setAttribute('width', chartWidth)\n      foreignElement.setAttribute('height', footnotesHeight)\n      foreignElement.setAttribute('x', 0)\n      foreignElement.setAttribute('y', chartHeight)\n\n      const styleElement = document.createElementNS(ns, 'style')\n      styleElement.append(`\n        ${webFonts}\n\n        .table-footnotes {\n          font-family: Source Sans Pro, sans-serif;\n          font-size: 14px;\n          line-height: 1.5;\n          color: #323a45;\n        }\n        .table-footnotes-header {\n          font-weight: bold;\n          margin-bottom: 1em;\n        }\n        .table-footnotes-item {\n          margin-bottom: 1em;\n        }\n        .table-footnotes-item p {\n          margin-bottom: 0.5em;\n        }\n        .table-footnotes-suppressed-symbol {\n          font-family: Merriweather, serif;\n        }\n        .table-footnotes-benchmark-symbol {\n          font-family: Roboto Mono Dagger, sans-serif;\n        }\n      `)\n      svgElement.prepend(styleElement)\n\n      const footnotesElement = existingFootnotesElement.cloneNode(true)\n      foreignElement.append(footnotesElement)\n      svgElement.append(foreignElement)\n\n      const canvas = document.createElement('canvas')\n      const context = canvas.getContext('2d')\n\n      // Add a few pixels to the width and height so that we don't run the svg\n      // right up to the edge of the canvas.\n      const canvasMargin = 4\n      canvas.width = chartWidth + (2 * canvasMargin)\n      canvas.height = combinedHeight + (2 * canvasMargin)\n\n      const xml = (new XMLSerializer()).serializeToString(svgElement)\n\n      const image = new Image()\n      image.onload = () => {\n        context.fillStyle = 'white'\n        context.fillRect(0, 0, canvas.width, canvas.height)\n        context.drawImage(image, canvasMargin, canvasMargin)\n        canvas.toBlob(blob => {\n          saveAs(blob, 'hcps_export_chart.png')\n        })\n      }\n      image.src = 'data:image/svg+xml;base64,' + btoa(unescape(encodeURIComponent(xml)))\n\n      svgElement.remove()\n    },\n    exportToCSV () {\n      const hs = new Hs('topic', this.$store)\n      const data = hs.getChartData('tableChart')\n      const table = this.buildExport(\n        data.table,\n        data.footnotes.suppressed.symbol,\n        data.footnotes.benchmark.hasBenchmark\n      )\n\n      const output = [\n        [safeStringForCSV(data.title)],\n        [safeStringForCSV(data.subtitle)],\n        [''],\n        ...table,\n        [''],\n        ['Notes:'],\n        ...this.buildFooter(data.footnotes)\n      ]\n\n      const csv = output\n        .map(r => r.join(','))\n        .join('\\n')\n\n      const blob = new Blob([csv], { type: 'text/csv;charset=utf-8' })\n      saveAs(blob, 'hcps_export_table.csv')\n    },\n    buildExport (data, suppressedSymbol, hasBenchmark) {\n      const majorId = this.rowQuestion.id\n      const minorId = this.columnQuestion?.id\n      const showCI = this.getFilter('confidenceInterval')\n      const include = [\n        true,\n        minorId != null,\n        true,\n        showCI,\n        showCI,\n        hasBenchmark,\n        true,\n        true,\n        showCI,\n        showCI\n      ]\n      const head = [\n        `[${majorId}]`,\n        `[${this.columnQuestion ? minorId : null}]`,\n        minorId == null ? 'Percentage' : `Percentage within [${majorId}] category`,\n        'Lower bound of 95% confidence interval for percentage',\n        'Upper bound of 95% confidence interval for percentage',\n        'CG-CAHPS benchmark for percentage',\n        'Sample Size',\n        'Population size',\n        'Lower bound of 95% confidence interval for population size',\n        'Upper bound of 95% confidence interval for population size'\n      ]\n\n      const map = data.flatMap((d, i) => {\n        return d.map((dd, ddi) => {\n          return this.compressArray(\n            [\n              safeStringForCSV(this.filteredRowQuestion.levels[i].label),\n              this.filteredColumnQuestion && safeStringForCSV(this.filteredColumnQuestion?.levels[ddi].label),\n              dd.suppressed ? suppressedSymbol : prettyPrintProportion(dd.proportion),\n              dd.suppressed ? suppressedSymbol : prettyPrintProportion(dd.ciProportion.lower),\n              dd.suppressed ? suppressedSymbol : prettyPrintProportion(dd.ciProportion.upper),\n              hasBenchmark && dd.benchmark != null ? dd.benchmark : 'n/a',\n              dd.suppressed ? suppressedSymbol : safeStringForCSV(prettyPrintSampleSize(dd.sampleSize)),\n              dd.suppressed ? suppressedSymbol : safeStringForCSV(prettyPrintPopulationSize(dd.numerator)),\n              dd.suppressed ? suppressedSymbol : safeStringForCSV(prettyPrintPopulationSize(dd.ciNumerator.lower)),\n              dd.suppressed ? suppressedSymbol : safeStringForCSV(prettyPrintPopulationSize(dd.ciNumerator.upper))\n            ],\n            include\n          )\n        })\n      })\n\n      const out = [this.compressArray(head, include), ...map]\n      return out\n    },\n    compressArray (data, include) {\n      return data.reduce((out, d, i) => {\n        if (include[i]) {\n          out.push(d)\n        }\n\n        return out\n      }, [])\n    },\n    buildFooter (footnotes) {\n      if (footnotes == null) {\n        return []\n      }\n\n      const { weighting, subpops, suppressed, variableName, benchmark, compare2014 } = footnotes\n      const parts = []\n\n      benchmark.hasBenchmark && parts.push([safeStringForCSV(`${benchmark.symbol} ${benchmark.text}`)])\n\n      if (subpops) {\n        parts.push([safeStringForCSV(subpops.text)])\n        subpops.items.forEach(i => i && parts.push([safeStringForCSV(i.text)]))\n      }\n\n      suppressed && parts.push([safeStringForCSV(`${suppressed.symbol} ${suppressed.text}`)])\n      variableName && parts.push([safeStringForCSV(variableName)])\n\n      parts.push([safeStringForCSV(weighting)])\n      parts.push([safeStringForCSV(compare2014)])\n\n      return parts\n    },\n    isChartNoResults () {\n      const data = this.chartData.data\n\n      return !!data\n        .every(d => d.every(r => r.noResult))\n    }\n  }\n}\n</script>\n\n<style lang=\"scss\">\n/* Unscoped because these apply to elements generated by HarnessUI. */\n.topbar-option .col-form-label {\n    font-weight: bold;\n    padding-bottom: 0;\n}\n.topbar-option .form-check {\n    margin-left: 7px;\n}\n\n.hcps-parameters {\n  .harness-ui-filtergrid-row {\n    .harness-ui-radiogroup-legend {\n      border-bottom: 0;\n      color: #323a45;\n    }\n\n    .form-check-input {\n      margin-left: -1.25rem;\n    }\n\n    .harness-ui-radiogroup-label {\n      margin-left: 0.5rem;\n    }\n  }\n\n  /* The HarnessUI default would pass a 508 contrast audit on a white background,\n   * but our background isn't white, so make the color darker.\n   */\n  .form-check-input[disabled] ~ .form-check-label,\n  .form-check-input:disabled ~ .form-check-label {\n    color: #666f77 !important;\n  }\n}\n</style>\n\n<style lang=\"scss\" scoped>\n.container {\n    width: 100%;\n    height: 100%;\n    background-color: #fff;\n\n    padding: 0px;\n\n    .options {\n        width: 100%;\n        height: 100%;\n        display: flex;\n\n        .topics {\n            flex: 0 0 300px;\n        }\n\n        .hcps-parameters {\n            flex: 1 1 auto;\n            padding-left: 16px;\n            display: flex;\n            flex-direction: column;\n            overflow-x: auto;\n\n            .topbar {\n              background-color: #edf1f7;\n              padding: 12px;\n              padding-top: 4px;\n              margin-bottom: 24px;\n            }\n        }\n\n        @media screen and (max-width: 768px)  {\n          & {\n            flex-direction: column;\n\n            .topics, .hcps-parameters {\n              flex: 0 0 100%;\n            }\n\n            .hcps-parameters {\n              padding-left: 0px;\n            }\n          }\n        }\n    }\n\n    .clip-required {\n      overflow-x: clip;\n    }\n\n    /* Be sure to copy any footnote styles to the exportToPng function. */\n    .table-footnotes-header {\n      font-weight: bold;\n      margin-bottom: 1em;\n    }\n    .table-footnotes-item {\n      margin-bottom: 1em;\n    }\n    .table-footnotes-item p {\n      margin-bottom: 0.5em;\n    }\n    .table-footnotes-suppressed-symbol {\n      font-family: Merriweather, serif;\n    }\n    .table-footnotes-benchmark-symbol {\n      font-family: Roboto Mono Dagger, sans-serif;\n    }\n}\n\n.topbar-option-value {\n    margin-left: 7px;\n}\n\n.download-button {\n    padding: 0;\n    border: 0;\n    background: none;\n    transition: 300ms ease all;\n\n    .badge {\n        background-color: #267cb8;\n        transition: 300ms ease all;\n    }\n\n    &:hover {\n        color: #267cb8;\n\n        .badge {\n            background-color: #205492;\n        }\n    }\n}\n\n.alert-message {\n  width: 60%;\n  margin: 80px auto;\n  padding: 8px;\n  font-size: 16px;\n  text-align: center;\n\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @media screen and (max-width: 576px) {\n    & {\n      width: 100%;\n    }\n  }\n}\n\n.hidden {\n  height: 1px;\n  overflow: hidden;\n}\n\n.year-banner {\n    padding: 8px;\n    margin-bottom: 24px;\n    background-color: #267cb8;\n    color: #fff;\n    text-align: center;\n\n    p {\n        margin: 0;\n    }\n\n    label {\n        margin-right: 0.5rem;\n        font-family: Merriweather;\n        font-weight: bold;\n        font-size: 1.25rem;\n    }\n\n  .hcps-year-select {\n    color: #000;\n  }\n}\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Topic.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Topic.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./Topic.vue?vue&type=template&id=206e8b60&scoped=true&\"\nimport script from \"./Topic.vue?vue&type=script&lang=js&\"\nexport * from \"./Topic.vue?vue&type=script&lang=js&\"\nimport style0 from \"./Topic.vue?vue&type=style&index=0&lang=scss&\"\nimport style1 from \"./Topic.vue?vue&type=style&index=1&id=206e8b60&lang=scss&scoped=true&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"206e8b60\",\n  null\n  \n)\n\nexport default component.exports","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{staticClass:\"inlinechart-container\"},[(_vm.hasChart)?[_c('div',{staticClass:\"table-container\"},[_c('div',{staticClass:\"table-header\",attrs:{\"id\":\"hcps-table-header\"}},[_c('p',{staticClass:\"table-title\"},[_vm._v(\" \"+_vm._s(_vm.chartData.title)+\" \")]),_c('p',{staticClass:\"table-subtitle\"},[_vm._v(\" \"+_vm._s(_vm.chartData.subtitle)+\" \")])]),_c('div',{staticClass:\"chart\"},[_c('table',{attrs:{\"aria-labelledby\":\"hcps-table-header\"}},[_c('thead',[_c('tr',[_c('th',{attrs:{\"scope\":\"col\"}},[_vm._v(\" \"+_vm._s((\"[\" + _vm.rowId + \"]\"))+\" \")]),(_vm.columnQuestion)?_c('th',{attrs:{\"scope\":\"col\"}},[_vm._v(\" \"+_vm._s((\"[\" + _vm.columnId + \"]\"))+\" \")]):_vm._e(),_c('th',{staticClass:\"numeric\",attrs:{\"scope\":\"col\"}},[_vm._v(\" \"+_vm._s(_vm.columnQuestion ? (\"Percentage within [\" + _vm.rowId + \"] category\") : 'Percentage')+\" \")]),(_vm.showCI())?_c('th',{staticClass:\"numeric\",attrs:{\"scope\":\"col\"}},[_vm._v(\" Lower bound of 95% confidence interval for percentage \")]):_vm._e(),(_vm.showCI())?_c('th',{staticClass:\"numeric\",attrs:{\"scope\":\"col\"}},[_vm._v(\" Upper bound of 95% confidence interval for percentage \")]):_vm._e(),(_vm.hasBenchmark())?_c('th',{staticClass:\"numeric benchmark\",attrs:{\"scope\":\"col\"}},[_vm._v(\" CG-CAHPS benchmark for percentage \"),_c('sup',[_vm._v(_vm._s(_vm.chartData.footnotes.benchmark.symbol))])]):_vm._e(),_c('th',{staticClass:\"numeric\",attrs:{\"scope\":\"col\"}},[_vm._v(\" Sample size \")]),_c('th',{staticClass:\"numeric\",attrs:{\"scope\":\"col\"}},[_vm._v(\" Population size \")]),(_vm.showCI())?_c('th',{staticClass:\"numeric\",attrs:{\"scope\":\"col\"}},[_vm._v(\" Lower bound of 95% confidence interval for population size \")]):_vm._e(),(_vm.showCI())?_c('th',{staticClass:\"numeric\",attrs:{\"scope\":\"col\"}},[_vm._v(\" Upper bound of 95% confidence interval for population size \")]):_vm._e()])]),(_vm.columnQuestion)?_vm._l((_vm.tableData.rows),function(r,ri){return _c('tbody',{key:r},_vm._l((_vm.tableData.columns),function(c,ci){return _c('tr',{key:(r + \"_\" + c)},[(_vm.chartData.table && _vm.chartData.table[ri] && _vm.chartData.table[ri][ci])?[(ci === 0)?_c('th',{attrs:{\"rowspan\":_vm.tableData.columns.length,\"scope\":\"rowgroup\"}},[_vm._v(\" \"+_vm._s(r)+\" \")]):_vm._e(),_c('th',{attrs:{\"scope\":\"row\"}},[_vm._v(\" \"+_vm._s(c)+\" \")]),_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][ci].suppressed }},[_vm._v(\" \"+_vm._s((_vm.chartData.table[ri][ci].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintProportion(_vm.chartData.table[ri][ci].proportion)))+\" \")]),(_vm.showCI())?_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][ci].suppressed }},[_vm._v(\" \"+_vm._s((_vm.chartData.table[ri][ci].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintProportion(_vm.chartData.table[ri][ci].ciProportion.lower)))+\" \")]):_vm._e(),(_vm.showCI())?_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][ci].suppressed }},[_vm._v(\" \"+_vm._s((_vm.chartData.table[ri][ci].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintProportion(_vm.chartData.table[ri][ci].ciProportion.upper)))+\" \")]):_vm._e(),(_vm.hasBenchmark())?_c('td',{staticClass:\"numeric\"},[_vm._v(\" \"+_vm._s(_vm.chartData.table[ri][ci].benchmark != null ? _vm.chartData.table[ri][ci].benchmark : 'n/a')+\" \")]):_vm._e(),_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][ci].suppressed }},[_vm._v(\" \"+_vm._s((_vm.chartData.table[ri][ci].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintSampleSize(_vm.chartData.table[ri][ci].sampleSize)))+\" \")]),_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][ci].suppressed }},[_vm._v(\" \"+_vm._s((_vm.chartData.table[ri][ci].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintPopulationSize(_vm.chartData.table[ri][ci].numerator)))+\" \")]),(_vm.showCI())?_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][ci].suppressed }},[_vm._v(\" \"+_vm._s((_vm.chartData.table[ri][ci].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintPopulationSize(_vm.chartData.table[ri][ci].ciNumerator.lower)))+\" \")]):_vm._e(),(_vm.showCI())?_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][ci].suppressed }},[_vm._v(\" \"+_vm._s((_vm.chartData.table[ri][ci].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintPopulationSize(_vm.chartData.table[ri][ci].ciNumerator.upper)))+\" \")]):_vm._e()]:_vm._e()],2)}),0)}):[_c('tbody',_vm._l((_vm.tableData.rows),function(r,ri){return _c('tr',{key:r},[(_vm.chartData.table[ri] && _vm.chartData.table[ri].length > 0)?[_c('th',{attrs:{\"scope\":\"row\"}},[_vm._v(\" \"+_vm._s(r)+\" \")]),_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][0].suppressed }},[_vm._v(\" \"+_vm._s(_vm.chartData.table[ri][0].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintProportion(_vm.chartData.table[ri][0].proportion))+\" \")]),(_vm.showCI())?_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][0].suppressed }},[_vm._v(\" \"+_vm._s(_vm.chartData.table[ri][0].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintProportion(_vm.chartData.table[ri][0].ciProportion.lower))+\" \")]):_vm._e(),(_vm.showCI())?_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][0].suppressed }},[_vm._v(\" \"+_vm._s(_vm.chartData.table[ri][0].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintProportion(_vm.chartData.table[ri][0].ciProportion.upper))+\" \")]):_vm._e(),(_vm.hasBenchmark())?_c('td',{staticClass:\"numeric\"},[_vm._v(\" \"+_vm._s(_vm.chartData.table[ri][0].benchmark != null ? _vm.chartData.table[ri][0].benchmark : 'n/a')+\" \")]):_vm._e(),_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][0].suppressed }},[_vm._v(\" \"+_vm._s(_vm.chartData.table[ri][0].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintSampleSize(_vm.chartData.table[ri][0].sampleSize))+\" \")]),_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][0].suppressed }},[_vm._v(\" \"+_vm._s(_vm.chartData.table[ri][0].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintPopulationSize(_vm.chartData.table[ri][0].numerator))+\" \")]),(_vm.showCI())?_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][0].suppressed }},[_vm._v(\" \"+_vm._s(_vm.chartData.table[ri][0].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintPopulationSize(_vm.chartData.table[ri][0].ciNumerator.lower))+\" \")]):_vm._e(),(_vm.showCI())?_c('td',{staticClass:\"numeric\",class:{ suppressed: _vm.chartData.table[ri][0].suppressed }},[_vm._v(\" \"+_vm._s(_vm.chartData.table[ri][0].suppressed ? _vm.suppressedSymbol : _vm.prettyPrintPopulationSize(_vm.chartData.table[ri][0].ciNumerator.upper))+\" \")]):_vm._e()]:_vm._e()],2)}),0)]],2)])])]:_vm._e()],2)}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\n  <div class=\"inlinechart-container\">\n    <template v-if=\"hasChart\">\n      <div class=\"table-container\">\n        <div\n          id=\"hcps-table-header\"\n          class=\"table-header\"\n        >\n          <p class=\"table-title\">\n            {{ chartData.title }}\n          </p>\n          <p class=\"table-subtitle\">\n            {{ chartData.subtitle }}\n          </p>\n        </div>\n        <div class=\"chart\">\n          <table aria-labelledby=\"hcps-table-header\">\n            <thead>\n              <tr>\n                <th scope=\"col\">\n                  {{ `[${rowId}]` }}\n                </th>\n                <th\n                  v-if=\"columnQuestion\"\n                  scope=\"col\"\n                >\n                  {{ `[${columnId}]` }}\n                </th>\n                <th\n                  scope=\"col\"\n                  class=\"numeric\"\n                >\n                  {{ columnQuestion ? `Percentage within [${rowId}] category` : 'Percentage' }}\n                </th>\n                <th\n                  scope=\"col\"\n                  class=\"numeric\"\n                  v-if=\"showCI()\"\n                >\n                  Lower bound of 95% confidence interval for percentage\n                </th>\n                <th\n                  scope=\"col\"\n                  class=\"numeric\"\n                  v-if=\"showCI()\"\n                >\n                  Upper bound of 95% confidence interval for percentage\n                </th>\n                <th\n                  scope=\"col\"\n                  class=\"numeric benchmark\"\n                  v-if=\"hasBenchmark()\"\n                >\n                  CG-CAHPS benchmark for percentage <sup>{{ chartData.footnotes.benchmark.symbol }}</sup>\n                </th>\n                <th\n                  scope=\"col\"\n                  class=\"numeric\"\n                >\n                  Sample size\n                </th>\n                <th\n                  scope=\"col\"\n                  class=\"numeric\"\n                >\n                  Population size\n                </th>\n                <th\n                  scope=\"col\"\n                  class=\"numeric\"\n                  v-if=\"showCI()\"\n                >\n                  Lower bound of 95% confidence interval for population size\n                </th>\n                <th\n                  scope=\"col\"\n                  class=\"numeric\"\n                  v-if=\"showCI()\"\n                >\n                  Upper bound of 95% confidence interval for population size\n                </th>\n              </tr>\n            </thead>\n            <template v-if=\"columnQuestion\">\n              <tbody\n                v-for=\"(r, ri) in tableData.rows\"\n                :key=\"r\"\n              >\n                <tr\n                  v-for=\"(c, ci) in tableData.columns\"\n                  :key=\"`${r}_${c}`\"\n                >\n                  <template v-if=\"chartData.table && chartData.table[ri] && chartData.table[ri][ci]\">\n                    <th\n                      v-if=\"ci === 0\"\n                      :rowspan=\"tableData.columns.length\"\n                      scope=\"rowgroup\"\n                    >\n                      {{ r }}\n                    </th>\n                    <th scope=\"row\">\n                      {{ c }}\n                    </th>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][ci].suppressed }\"\n                    >\n                      {{ (chartData.table[ri][ci].suppressed ? suppressedSymbol : prettyPrintProportion(chartData.table[ri][ci].proportion)) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][ci].suppressed }\"\n                      v-if=\"showCI()\"\n                    >\n                      {{ (chartData.table[ri][ci].suppressed ? suppressedSymbol : prettyPrintProportion(chartData.table[ri][ci].ciProportion.lower)) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][ci].suppressed }\"\n                      v-if=\"showCI()\"\n                    >\n                      {{ (chartData.table[ri][ci].suppressed ? suppressedSymbol : prettyPrintProportion(chartData.table[ri][ci].ciProportion.upper)) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      v-if=\"hasBenchmark()\"\n                    >\n                      {{ chartData.table[ri][ci].benchmark != null ? chartData.table[ri][ci].benchmark : 'n/a' }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][ci].suppressed }\"\n                    >\n                      {{ (chartData.table[ri][ci].suppressed ? suppressedSymbol : prettyPrintSampleSize(chartData.table[ri][ci].sampleSize)) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][ci].suppressed }\"\n                    >\n                      {{ (chartData.table[ri][ci].suppressed ? suppressedSymbol : prettyPrintPopulationSize(chartData.table[ri][ci].numerator)) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][ci].suppressed }\"\n                      v-if=\"showCI()\"\n                    >\n                      {{ (chartData.table[ri][ci].suppressed ? suppressedSymbol : prettyPrintPopulationSize(chartData.table[ri][ci].ciNumerator.lower)) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][ci].suppressed }\"\n                      v-if=\"showCI()\"\n                    >\n                      {{ (chartData.table[ri][ci].suppressed ? suppressedSymbol : prettyPrintPopulationSize(chartData.table[ri][ci].ciNumerator.upper)) }}\n                    </td>\n                  </template>\n                </tr>\n              </tbody>\n            </template>\n            <template v-else>\n              <tbody>\n                <tr\n                  v-for=\"(r, ri) in tableData.rows\"\n                  :key=\"r\"\n                >\n                  <template v-if=\"chartData.table[ri] && chartData.table[ri].length > 0\">\n                    <th scope=\"row\">\n                      {{ r }}\n                    </th>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][0].suppressed }\"\n                    >\n                      {{ chartData.table[ri][0].suppressed ? suppressedSymbol : prettyPrintProportion(chartData.table[ri][0].proportion) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][0].suppressed }\"\n                      v-if=\"showCI()\"\n                    >\n                      {{ chartData.table[ri][0].suppressed ? suppressedSymbol : prettyPrintProportion(chartData.table[ri][0].ciProportion.lower) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][0].suppressed }\"\n                      v-if=\"showCI()\"\n                    >\n                      {{ chartData.table[ri][0].suppressed ? suppressedSymbol : prettyPrintProportion(chartData.table[ri][0].ciProportion.upper) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      v-if=\"hasBenchmark()\"\n                    >\n                      {{ chartData.table[ri][0].benchmark != null ? chartData.table[ri][0].benchmark : 'n/a' }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][0].suppressed }\"\n                    >\n                      {{ chartData.table[ri][0].suppressed ? suppressedSymbol : prettyPrintSampleSize(chartData.table[ri][0].sampleSize) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][0].suppressed }\"\n                    >\n                      {{ chartData.table[ri][0].suppressed ? suppressedSymbol : prettyPrintPopulationSize(chartData.table[ri][0].numerator) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][0].suppressed }\"\n                      v-if=\"showCI()\"\n                    >\n                      {{ chartData.table[ri][0].suppressed ? suppressedSymbol : prettyPrintPopulationSize(chartData.table[ri][0].ciNumerator.lower) }}\n                    </td>\n                    <td\n                      class=\"numeric\"\n                      :class=\"{ suppressed: chartData.table[ri][0].suppressed }\"\n                      v-if=\"showCI()\"\n                    >\n                      {{ chartData.table[ri][0].suppressed ? suppressedSymbol : prettyPrintPopulationSize(chartData.table[ri][0].ciNumerator.upper) }}\n                    </td>\n                  </template>\n                </tr>\n              </tbody>\n            </template>\n          </table>\n        </div>\n      </div>\n    </template>\n  </div>\n</template>\n\n<script>\nimport { mapGetters } from 'vuex'\nimport {\n  prettyPrintProportion,\n  prettyPrintSampleSize,\n  prettyPrintPopulationSize\n} from '../utils.js'\n\nexport default {\n  name: 'TableChart',\n  data () {\n    return {\n      localChart: null\n    }\n  },\n  props: {\n    chart: {\n      type: Object,\n      default: null\n    }\n  },\n  methods: {\n    prettyPrintProportion,\n    prettyPrintSampleSize,\n    prettyPrintPopulationSize,\n    showCI () {\n      return this.getFilter('confidenceInterval')\n    },\n    hasBenchmark () {\n      return this.chartData.footnotes.benchmark.hasBenchmark\n    }\n  },\n  computed: {\n    doesRowHaveSubpop () {\n      return this.rowQuestion && this.rowQuestion.pop !== 'all patients'\n    },\n    rowPopulation () {\n      return this.rowQuestion && this.rowQuestion.pop\n    },\n    doesColumnHaveSubpop () {\n      return this.columnQuestion && this.columnQuestion.pop !== 'all patients'\n    },\n    columnPopulation () {\n      return this.columnQuestion && this.columnQuestion.pop\n    },\n    doesFilterHaveSubpop () {\n      return this.filterQuestion && this.filterQuestion.pop !== 'all patients'\n    },\n    filterPopulation () {\n      return this.filterQuestion && this.filterQuestion.pop\n    },\n    anySubpops () {\n      return this.doesRowHaveSubpop || this.doesColumnHaveSubpop || this.doesFilterHaveSubpop\n    },\n    hasChart () {\n      return this.tableData != null\n    },\n    chartData () {\n      return this.getChartData('tableChart')\n    },\n    tableData () {\n      if (this.rowQuestion == null && this.columnQuestion == null) {\n        return null\n      }\n\n      const chart = { rows: [], columns: [] }\n\n      if (this.rowQuestion != null) {\n        const rowLevels = this.filteredRowQuestion.levels\n        chart.rows = rowLevels\n          .map(l => l.label)\n      } else {\n        chart.rows = ['']\n      }\n\n      if (this.columnQuestion != null) {\n        const levels = this.filteredColumnQuestion.levels\n        chart.columns = levels\n          .map(l => l.label)\n      } else {\n        chart.columns = ['']\n      }\n\n      return chart\n    },\n    suppressedSymbol () {\n      return this.chartData.footnotes.suppressed ? this.chartData.footnotes.suppressed.symbol : ''\n    },\n    anySuppressed () {\n      return this.chartData.table.some(row => {\n        return row.some(cell => cell.suppressed)\n      })\n    },\n    ...mapGetters(['rowId', 'columnId', 'filterId', 'rowQuestion', 'filteredRowQuestion', 'columnQuestion', 'filteredColumnQuestion', 'filterQuestion'])\n  }\n}\n</script>\n\n<style lang=\"scss\" scoped>\n.inlinechart-container {\n    flex: 1 1 auto;\n\n    .controls {\n      display: flex;\n      width: 100%;\n\n      .row-selector, .col-selector {\n        flex: 0 0 50%;\n        display: flex;\n        flex-direction: column;\n        align-items: center;\n        justify-content: center;\n\n        .button-row {\n          display: flex;\n        }\n      }\n    }\n\n    .table-header {\n      text-align: center;\n      font-family: Merriweather, serif;\n      line-height: 1.2;\n      color: #112e51;\n\n      .table-title {\n        font-size: 18px;\n        margin-bottom: 16px;\n     }\n\n      .table-subtitle {\n        font-size: 12px;\n        margin-bottom: 24px;\n      }\n    }\n\n    .chart {\n      width: 100%;\n      margin-bottom: 12px;\n      overflow-x: auto;\n\n      table {\n        width: 100%;\n\n        th, td {\n          padding: 4px;\n        }\n\n        th {\n          background-color: #112d4e;\n          color: #fff;\n          font-weight: bold;\n          border: 1px solid #aaa;\n\n          &.numeric {\n            text-align: right;\n          }\n\n          &.benchmark sup {\n            font-family: Roboto Mono Dagger, sans-serif;\n          }\n        }\n\n        td {\n          border: 1px solid #ddd;\n          color: #333;\n\n          &.numeric {\n            text-align: right;\n          }\n        }\n\n        td.suppressed {\n          font-family: Merriweather, serif;\n        }\n\n        tbody {\n          border-top: 2px solid #888;\n          border-bottom: 2px solid #888;\n        }\n\n        tr:nth-child(even) {\n          background-color: #f5f5f5;\n        }\n      }\n    }\n}\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TableChart.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TableChart.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./TableChart.vue?vue&type=template&id=ab89fc68&scoped=true&\"\nimport script from \"./TableChart.vue?vue&type=script&lang=js&\"\nexport * from \"./TableChart.vue?vue&type=script&lang=js&\"\nimport style0 from \"./TableChart.vue?vue&type=style&index=0&id=ab89fc68&lang=scss&scoped=true&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"ab89fc68\",\n  null\n  \n)\n\nexport default component.exports","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',[_c('svg',{attrs:{\"version\":\"1.1\",\"width\":_vm.width,\"height\":_vm.height,\"viewbox\":_vm.viewbox}},[_c('MultilineText',{attrs:{\"lines\":_vm.wrappedChartTitle.lines,\"x\":_vm.width/2,\"y\":0,\"x-align\":\"center\",\"font\":_vm.chartTitleFont}}),_c('MultilineText',{attrs:{\"lines\":_vm.wrappedChartSubtitle.lines,\"x\":_vm.width/2,\"y\":_vm.wrappedChartTitle.height + _vm.space.belowTitle,\"x-align\":\"center\",\"font\":_vm.chartSubtitleFont}}),_c('g',{attrs:{\"transform\":(\"translate(\" + _vm.bufferLeft + \", \" + _vm.bufferTop + \")\")}},[_vm._l((_vm.xTicks),function(tick){return _c('line',{key:(\"grid-\" + tick),attrs:{\"x1\":_vm.xScale(tick),\"x2\":_vm.xScale(tick),\"y1\":0,\"y2\":_vm.plotHeight,\"stroke-width\":\"1\",\"stroke\":\"#e6e6e6\"}})}),_vm._l((_vm.xTicks),function(tick){return _c('text',{key:(\"top-tick-label-\" + tick),attrs:{\"x\":_vm.xScale(tick),\"y\":\"-0.5em\",\"font-size\":_vm.xAxisTickLabelFont.size,\"font-family\":_vm.xAxisTickLabelFont.family,\"fill\":_vm.xAxisTickLabelFont.color,\"text-anchor\":\"middle\"}},[_vm._v(\" \"+_vm._s(_vm.xTickFormatter(tick))+\" \")])}),_c('text',{attrs:{\"x\":_vm.plotWidth / 2,\"y\":\"-2em\",\"font-size\":_vm.xAxisTitleFont.size,\"font-family\":_vm.xAxisTitleFont.family,\"fill\":_vm.xAxisTitleFont.color,\"text-anchor\":\"middle\"}},[_vm._v(\" \"+_vm._s(_vm.xAxisTitle)+\" \")]),_vm._l((_vm.xTicks),function(tick){return _c('text',{key:(\"bottom-tick-label-\" + tick),attrs:{\"x\":_vm.xScale(tick),\"y\":_vm.plotHeight,\"dy\":\"0.5em\",\"font-size\":_vm.xAxisTickLabelFont.size,\"font-family\":_vm.xAxisTickLabelFont.family,\"fill\":_vm.xAxisTickLabelFont.color,\"dominant-baseline\":\"hanging\",\"text-anchor\":\"middle\"}},[_vm._v(\" \"+_vm._s(_vm.xTickFormatter(tick))+\" \")])}),_c('text',{attrs:{\"x\":_vm.plotWidth / 2,\"y\":_vm.plotHeight,\"dy\":\"2em\",\"font-size\":_vm.xAxisTitleFont.size,\"font-family\":_vm.xAxisTitleFont.family,\"fill\":_vm.xAxisTitleFont.color,\"dominant-baseline\":\"hanging\",\"text-anchor\":\"middle\"}},[_vm._v(\" \"+_vm._s(_vm.xAxisTitle)+\" \")]),_c('text',{attrs:{\"x\":_vm.majorLabelX,\"y\":\"-2em\",\"font-size\":_vm.yAxisHeaderFont.size,\"font-family\":_vm.yAxisHeaderFont.family,\"fill\":_vm.yAxisHeaderFont.color,\"text-anchor\":\"end\"}},[_vm._v(\" [\"+_vm._s(_vm.majorQuestionId)+\"] \")]),_vm._l((_vm.wrappedCategories),function(category,i){return _c('MultilineText',{key:(\"category-axis-label-\" + i),attrs:{\"lines\":category.lines,\"x\":_vm.majorLabelX,\"y\":_vm.yScaleMajor(i) - (category.height/2),\"x-align\":\"right\",\"font\":_vm.categoryFont}})}),(_vm.hasMinorLabels)?[_c('text',{attrs:{\"x\":_vm.minorLabelX,\"y\":\"-2em\",\"font-size\":_vm.yAxisHeaderFont.size,\"font-family\":_vm.yAxisHeaderFont.family,\"fill\":_vm.yAxisHeaderFont.color,\"text-anchor\":\"end\"}},[_vm._v(\" [\"+_vm._s(_vm.minorQuestionId)+\"] \")]),_vm._l((_vm.chartData.categories.slice(0, -1)),function(category,i){return _c('line',{key:(\"major-separator-\" + i),attrs:{\"x1\":-_vm.bufferLeft,\"y1\":_vm.yScaleMajor(i) + _vm.majorGroupHeight/2 + _vm.space.betweenMajorGroups/2,\"x2\":_vm.plotWidth + _vm.bufferRight,\"y2\":_vm.yScaleMajor(i) + _vm.majorGroupHeight/2 + _vm.space.betweenMajorGroups/2,\"stroke-width\":\"1\",\"stroke\":\"#e6e6e6\"}})}),_vm._l((_vm.chartData.categories),function(category,i){return _c('g',{key:(\"major-bar-group-\" + i),attrs:{\"transform\":(\"translate(0, \" + (_vm.yScaleMajor(i) - _vm.majorGroupHeight/2) + \")\")}},[_vm._l((_vm.wrappedSubCategories),function(subCategory,j){return _c('MultilineText',{key:(\"subCategory-axis-label-\" + i + \"-\" + j),attrs:{\"lines\":subCategory.lines,\"x\":_vm.minorLabelX,\"y\":_vm.yScaleMinor(j) - subCategory.height/2,\"x-align\":\"right\",\"font\":_vm.subCategoryFont}})}),_vm._l((_vm.chartData.data[i]),function(d,j){return _c('GraphChartBar',{key:(\"bar-\" + i + \"-\" + j),attrs:{\"cell\":d,\"x-scale\":_vm.xScale,\"y\":_vm.yScaleMinor(j),\"height\":_vm.space.barHeight,\"color\":_vm.colorScale(_vm.chartData.subCategories[j]),\"show-confidence-interval\":_vm.showConfidenceInterval,\"show-percentages\":_vm.showPercentages,\"suppression-symbol\":_vm.suppressionSymbol,\"suppression-symbol-font\":_vm.suppressionSymbolFont,\"benchmark-symbol\":_vm.benchmarkSymbol,\"benchmark-symbol-font\":_vm.benchmarkSymbolFont},on:{\"onMouseEnter\":function($event){return _vm.onMouseEnterBar($event.coords, i, j)},\"onMouseLeave\":function($event){return _vm.onMouseLeaveBar()}}})})],2)})]:_vm._l((_vm.chartData.data),function(d,i){return _c('GraphChartBar',{key:(\"bar-\" + i),attrs:{\"cell\":d[0],\"x-scale\":_vm.xScale,\"y\":_vm.yScaleMajor(i),\"height\":_vm.space.barHeight,\"color\":_vm.colorScale(_vm.chartData.categories[i]),\"show-confidence-interval\":_vm.showConfidenceInterval,\"show-percentages\":_vm.showPercentages,\"suppression-symbol\":_vm.suppressionSymbol,\"suppression-symbol-font\":_vm.suppressionSymbolFont,\"benchmark-symbol\":_vm.benchmarkSymbol,\"benchmark-symbol-font\":_vm.benchmarkSymbolFont},on:{\"onMouseEnter\":function($event){return _vm.onMouseEnterBar($event.coords, i, 0)},\"onMouseLeave\":function($event){return _vm.onMouseLeaveBar()}}})})],2)],1),(_vm.showTooltip)?_c('div',{staticClass:\"dashboard-chart-tooltip\",style:(_vm.tooltipStyle),attrs:{\"id\":\"dashboard-chart-tooltip\"}},[_c('p',[_c('b',[_vm._v(_vm._s(_vm.tooltipHeader))])]),(_vm.tooltipCell.suppressed)?[_c('p',[_vm._v(\"Results have been suppressed.\")])]:[_c('dl',[_c('div',[_c('dt',[_vm._v(_vm._s(_vm.tooltipPercentageLabel)+\":\")]),_c('dd',[_vm._v(_vm._s(_vm.prettyPrintProportion(_vm.tooltipCell.proportion)))])]),_c('div',[_c('dt',[_vm._v(\"95% CI for percentage:\")]),_c('dd',[_vm._v(_vm._s(_vm.prettyPrintProportionCI(_vm.tooltipCell.ciProportion)))])]),(_vm.tooltipCell.benchmark)?_c('div',[_c('dt',[_vm._v(\"CG-CAHPS benchmark for percentage:\")]),_c('dd',[_vm._v(_vm._s(_vm.tooltipCell.benchmark))])]):_vm._e(),_c('div',[_c('dt',[_vm._v(\"Sample size:\")]),_c('dd',[_vm._v(_vm._s(_vm.prettyPrintSampleSize(_vm.tooltipCell.sampleSize)))])]),_c('div',[_c('dt',[_vm._v(\"Population size:\")]),_c('dd',[_vm._v(_vm._s(_vm.prettyPrintPopulationSize(_vm.tooltipCell.numerator)))])]),_c('div',[_c('dt',[_vm._v(\"95% CI for population size:\")]),_c('dd',[_vm._v(_vm._s(_vm.prettyPrintPopulationSizeCI(_vm.tooltipCell.ciNumerator)))])])])]],2):_vm._e()])}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('g',[_c('rect',{attrs:{\"x\":\"0\",\"y\":_vm.y - _vm.hoverTargetHeight / 2,\"width\":_vm.hoverTargetWidth,\"height\":_vm.hoverTargetHeight,\"visibility\":\"hidden\",\"pointer-events\":\"painted\"},on:{\"mouseenter\":_vm.onMouseEnter,\"mouseleave\":_vm.onMouseLeave}}),(_vm.isSuppressed)?[_c('text',{attrs:{\"x\":\"4\",\"y\":_vm.y,\"dy\":\"0.15em\",\"font-size\":_vm.suppressionSymbolFont.size,\"font-family\":_vm.suppressionSymbolFont.family,\"dominant-baseline\":\"central\",\"fill\":_vm.suppressionSymbolColor,\"pointer-events\":\"none\"}},[_vm._v(\" \"+_vm._s(_vm.suppressionSymbol)+\" \")])]:[(_vm.hasConfidenceInterval)?_c('rect',{attrs:{\"x\":_vm.confidenceIntervalX.lower,\"y\":_vm.y - (_vm.ciBandHeight / 2),\"width\":_vm.confidenceIntervalX.upper - _vm.confidenceIntervalX.lower,\"height\":_vm.ciBandHeight,\"fill\":\"#d0e5f4\",\"pointer-events\":\"none\"}}):_vm._e(),_c('line',{attrs:{\"x1\":\"0\",\"x2\":_vm.pointEstimateX,\"y1\":_vm.y,\"y2\":_vm.y,\"stroke-width\":_vm.lineThickness,\"stroke\":_vm.color,\"pointer-events\":\"none\"}}),_c('circle',{attrs:{\"cx\":_vm.pointEstimateX,\"cy\":_vm.y,\"r\":_vm.circleRadius,\"fill\":_vm.color,\"pointer-events\":\"none\"}}),(_vm.isHovered)?_c('circle',{attrs:{\"cx\":_vm.pointEstimateX,\"cy\":_vm.y,\"r\":_vm.highlightCircleRadius,\"fill\":\"#ffffff\",\"pointer-events\":\"none\"}}):_vm._e(),(_vm.hasBenchmark)?_c('text',{attrs:{\"x\":_vm.benchmarkX,\"y\":_vm.y,\"dy\":\"-0.12em\",\"font-size\":_vm.benchmarkSymbolFont.size,\"font-family\":_vm.benchmarkSymbolFont.family,\"text-align\":\"middle\",\"dominant-baseline\":\"central\",\"fill\":_vm.benchmarkSymbolColor,\"pointer-events\":\"none\"}},[_vm._v(\" \"+_vm._s(_vm.benchmarkSymbol)+\" \")]):_vm._e()]],2)}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\n  <g>\n    <rect\n      x=\"0\"\n      :y=\"y - hoverTargetHeight / 2\"\n      :width=\"hoverTargetWidth\"\n      :height=\"hoverTargetHeight\"\n      visibility=\"hidden\"\n      pointer-events=\"painted\"\n      @mouseenter=\"onMouseEnter\"\n      @mouseleave=\"onMouseLeave\"\n    />\n    <template v-if=\"isSuppressed\">\n      <text\n        x=\"4\"\n        :y=\"y\"\n        dy=\"0.15em\"\n        :font-size=\"suppressionSymbolFont.size\"\n        :font-family=\"suppressionSymbolFont.family\"\n        dominant-baseline=\"central\"\n        :fill=\"suppressionSymbolColor\"\n        pointer-events=\"none\"\n      >\n        {{ suppressionSymbol }}\n      </text>\n    </template>\n    <template v-else>\n      <rect\n        v-if=\"hasConfidenceInterval\"\n        :x=\"confidenceIntervalX.lower\"\n        :y=\"y - (ciBandHeight / 2)\"\n        :width=\"confidenceIntervalX.upper - confidenceIntervalX.lower\"\n        :height=\"ciBandHeight\"\n        fill=\"#d0e5f4\"\n        pointer-events=\"none\"\n      />\n      <line\n        x1=\"0\"\n        :x2=\"pointEstimateX\"\n        :y1=\"y\"\n        :y2=\"y\"\n        :stroke-width=\"lineThickness\"\n        :stroke=\"color\"\n        pointer-events=\"none\"\n      />\n      <circle\n        :cx=\"pointEstimateX\"\n        :cy=\"y\"\n        :r=\"circleRadius\"\n        :fill=\"color\"\n        pointer-events=\"none\"\n      />\n      <circle\n        v-if=\"isHovered\"\n        :cx=\"pointEstimateX\"\n        :cy=\"y\"\n        :r=\"highlightCircleRadius\"\n        fill=\"#ffffff\"\n        pointer-events=\"none\"\n      />\n      <text\n        v-if=\"hasBenchmark\"\n        :x=\"benchmarkX\"\n        :y=\"y\"\n        dy=\"-0.12em\"\n        :font-size=\"benchmarkSymbolFont.size\"\n        :font-family=\"benchmarkSymbolFont.family\"\n        text-align=\"middle\"\n        dominant-baseline=\"central\"\n        :fill=\"benchmarkSymbolColor\"\n        pointer-events=\"none\"\n      >\n        {{ benchmarkSymbol }}\n      </text>\n    </template>\n  </g>\n</template>\n\n<script>\nexport default {\n  name: 'GraphChartBar',\n  props: {\n    cell: {\n      type: Object,\n      required: true\n    },\n    xScale: {\n      type: Function,\n      required: true\n    },\n    y: {\n      type: Number,\n      required: true\n    },\n    height: {\n      type: Number,\n      required: true\n    },\n    color: {\n      type: String,\n      required: true\n    },\n    showConfidenceInterval: {\n      type: Boolean,\n      required: true\n    },\n    showPercentages: {\n      type: Boolean,\n      required: true\n    },\n    suppressionSymbol: {\n      type: String,\n      required: true\n    },\n    suppressionSymbolFont: {\n      type: Object,\n      required: true\n    },\n    benchmarkSymbol: {\n      type: String,\n      required: true\n    },\n    benchmarkSymbolFont: {\n      type: Object,\n      required: true\n    }\n  },\n  data () {\n    return {\n      isHovered: false\n    }\n  },\n  computed: {\n    isSuppressed () {\n      return this.cell.suppressed\n    },\n    hasConfidenceInterval () {\n      return (\n        this.showConfidenceInterval &&\n        !isNaN(this.confidenceInterval.lower) &&\n        !isNaN(this.confidenceInterval.upper) &&\n        this.confidenceInterval.lower !== null &&\n        this.confidenceInterval.upper !== null\n      )\n    },\n    pointEstimate () {\n      if (this.showPercentages) {\n        return this.safeProduct(100, this.cell.proportion)\n      } else {\n        return this.cell.numerator\n      }\n    },\n    pointEstimateX () {\n      return this.xScale(this.pointEstimate)\n    },\n    confidenceInterval () {\n      if (this.showPercentages) {\n        return {\n          lower: this.safeProduct(100, this.cell.ciProportion.lower),\n          upper: this.safeProduct(100, this.cell.ciProportion.upper)\n        }\n      } else {\n        return this.cell.ciNumerator\n      }\n    },\n    confidenceIntervalX () {\n      if (this.hasConfidenceInterval) {\n        return {\n          lower: this.xScale(this.confidenceInterval.lower),\n          upper: this.xScale(this.confidenceInterval.upper)\n        }\n      } else {\n        return { lower: null, upper: null }\n      }\n    },\n    lineThickness () {\n      return this.isHovered ? 5 : 4\n    },\n    circleRadius () {\n      return this.isHovered ? 8 : 5\n    },\n    highlightCircleRadius () {\n      return 3\n    },\n    ciBandHeight () {\n      return this.isHovered ? 16 : 12\n    },\n    suppressionSymbolColor () {\n      return this.isHovered ? '#000000' : this.suppressionSymbolFont.color\n    },\n    hasBenchmark () {\n      return this.showPercentages && this.cell.benchmark\n    },\n    benchmarkX () {\n      return this.xScale(this.cell.benchmark)\n    },\n    benchmarkSymbolColor () {\n      return this.isHovered ? '#464646' : this.benchmarkSymbolFont.color\n    },\n    hoverTargetHeight () {\n      return this.height\n    },\n    hoverTargetWidth () {\n      const xValues = [0]\n      if (!this.isSuppressed) {\n        xValues.push(this.pointEstimateX)\n        if (this.hasConfidenceInterval) {\n          xValues.push(this.confidenceIntervalX.upper)\n        }\n        if (this.hasBenchmark) {\n          xValues.push(this.benchmarkX)\n        }\n      }\n      return 16 + Math.max(...xValues)\n    }\n  },\n  methods: {\n    onMouseEnter (event) {\n      this.isHovered = true\n      this.$emit('onMouseEnter', {\n        coords: {\n          x: event.x,\n          y: event.y,\n          bbox: event.target.getBoundingClientRect()\n        }\n      })\n    },\n    onMouseLeave () {\n      this.isHovered = false\n      this.$emit('onMouseLeave')\n    },\n    safeProduct (a, b) {\n      if (a == null || b == null) {\n        return null\n      } else {\n        return a * b\n      }\n    }\n  }\n}\n</script>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./GraphChartBar.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./GraphChartBar.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./GraphChartBar.vue?vue&type=template&id=2cab0902&\"\nimport script from \"./GraphChartBar.vue?vue&type=script&lang=js&\"\nexport * from \"./GraphChartBar.vue?vue&type=script&lang=js&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  \n)\n\nexport default component.exports","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('text',{attrs:{\"x\":_vm.x,\"y\":_vm.y,\"text-anchor\":_vm.textAnchor,\"font-size\":_vm.font.size,\"font-family\":_vm.font.family,\"fill\":_vm.font.color}},_vm._l((_vm.lines),function(line,i){return _c('tspan',{key:(\"line-\" + i),attrs:{\"x\":_vm.x,\"dy\":i > 0 ? _vm.font.lineHeight : 0,\"dominant-baseline\":\"text-before-edge\"}},[_vm._v(_vm._s(line))])}),0)}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\n  <text\n    :x=\"x\"\n    :y=\"y\"\n    :text-anchor=\"textAnchor\"\n    :font-size=\"font.size\"\n    :font-family=\"font.family\"\n    :fill=\"font.color\"\n  >\n    <tspan\n      v-for=\"(line, i) in lines\"\n      :key=\"`line-${i}`\"\n      :x=\"x\"\n      :dy=\"i > 0 ? font.lineHeight : 0\"\n      dominant-baseline=\"text-before-edge\"\n    >{{ line }}</tspan> <!-- eslint-disable-line vue/multiline-html-element-content-newline -->\n  </text>\n</template>\n\n<script>\nexport default {\n  name: 'MultilineText',\n  props: {\n    lines: {\n      type: Array,\n      required: true\n    },\n    x: {\n      type: Number,\n      required: true\n    },\n    y: {\n      type: Number,\n      required: true\n    },\n    xAlign: {\n      type: String,\n      required: true,\n      validator: function (value) {\n        return ['left', 'center', 'right'].includes(value)\n      }\n    },\n    font: {\n      type: Object,\n      required: true\n    },\n    height: {\n      type: Number,\n      required: false,\n      default: 0\n    }\n  },\n  computed: {\n    textAnchor () {\n      return {\n        left: 'start',\n        center: 'middle',\n        right: 'end'\n      }[this.xAlign]\n    }\n  }\n}\n</script>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./MultilineText.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./MultilineText.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./MultilineText.vue?vue&type=template&id=6b689792&\"\nimport script from \"./MultilineText.vue?vue&type=script&lang=js&\"\nexport * from \"./MultilineText.vue?vue&type=script&lang=js&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  \n)\n\nexport default component.exports","<template>\n  <div>\n    <svg\n      version=\"1.1\"\n      :width=\"width\"\n      :height=\"height\"\n      :viewbox=\"viewbox\"\n    >\n      <MultilineText\n        :lines=\"wrappedChartTitle.lines\"\n        :x=\"width/2\"\n        :y=\"0\"\n        x-align=\"center\"\n        :font=\"chartTitleFont\"\n      />\n      <MultilineText\n        :lines=\"wrappedChartSubtitle.lines\"\n        :x=\"width/2\"\n        :y=\"wrappedChartTitle.height + space.belowTitle\"\n        x-align=\"center\"\n        :font=\"chartSubtitleFont\"\n      />\n      <g :transform=\"`translate(${bufferLeft}, ${bufferTop})`\">\n        <line\n          v-for=\"tick in xTicks\"\n          :key=\"`grid-${tick}`\"\n          :x1=\"xScale(tick)\"\n          :x2=\"xScale(tick)\"\n          :y1=\"0\"\n          :y2=\"plotHeight\"\n          stroke-width=\"1\"\n          stroke=\"#e6e6e6\"\n        />\n        <text\n          v-for=\"tick in xTicks\"\n          :key=\"`top-tick-label-${tick}`\"\n          :x=\"xScale(tick)\"\n          y=\"-0.5em\"\n          :font-size=\"xAxisTickLabelFont.size\"\n          :font-family=\"xAxisTickLabelFont.family\"\n          :fill=\"xAxisTickLabelFont.color\"\n          text-anchor=\"middle\"\n        >\n          {{ xTickFormatter(tick) }}\n        </text>\n        <text\n          :x=\"plotWidth / 2\"\n          y=\"-2em\"\n          :font-size=\"xAxisTitleFont.size\"\n          :font-family=\"xAxisTitleFont.family\"\n          :fill=\"xAxisTitleFont.color\"\n          text-anchor=\"middle\"\n        >\n          {{ xAxisTitle }}\n        </text>\n        <text\n          v-for=\"tick in xTicks\"\n          :key=\"`bottom-tick-label-${tick}`\"\n          :x=\"xScale(tick)\"\n          :y=\"plotHeight\"\n          dy=\"0.5em\"\n          :font-size=\"xAxisTickLabelFont.size\"\n          :font-family=\"xAxisTickLabelFont.family\"\n          :fill=\"xAxisTickLabelFont.color\"\n          dominant-baseline=\"hanging\"\n          text-anchor=\"middle\"\n        >\n          {{ xTickFormatter(tick) }}\n        </text>\n        <text\n          :x=\"plotWidth / 2\"\n          :y=\"plotHeight\"\n          dy=\"2em\"\n          :font-size=\"xAxisTitleFont.size\"\n          :font-family=\"xAxisTitleFont.family\"\n          :fill=\"xAxisTitleFont.color\"\n          dominant-baseline=\"hanging\"\n          text-anchor=\"middle\"\n        >\n          {{ xAxisTitle }}\n        </text>\n        <text\n          :x=\"majorLabelX\"\n          y=\"-2em\"\n          :font-size=\"yAxisHeaderFont.size\"\n          :font-family=\"yAxisHeaderFont.family\"\n          :fill=\"yAxisHeaderFont.color\"\n          text-anchor=\"end\"\n        >\n          [{{ majorQuestionId }}]\n        </text>\n        <MultilineText\n          v-for=\"(category, i) in wrappedCategories\"\n          :key=\"`category-axis-label-${i}`\"\n          :lines=\"category.lines\"\n          :x=\"majorLabelX\"\n          :y=\"yScaleMajor(i) - (category.height/2)\"\n          x-align=\"right\"\n          :font=\"categoryFont\"\n        />\n        <template v-if=\"hasMinorLabels\">\n          <text\n            :x=\"minorLabelX\"\n            y=\"-2em\"\n            :font-size=\"yAxisHeaderFont.size\"\n            :font-family=\"yAxisHeaderFont.family\"\n            :fill=\"yAxisHeaderFont.color\"\n            text-anchor=\"end\"\n          >\n            [{{ minorQuestionId }}]\n          </text>\n          <line\n            v-for=\"(category, i) in chartData.categories.slice(0, -1)\"\n            :key=\"`major-separator-${i}`\"\n            :x1=\"-bufferLeft\"\n            :y1=\"yScaleMajor(i) + majorGroupHeight/2 + space.betweenMajorGroups/2\"\n            :x2=\"plotWidth + bufferRight\"\n            :y2=\"yScaleMajor(i) + majorGroupHeight/2 + space.betweenMajorGroups/2\"\n            stroke-width=\"1\"\n            stroke=\"#e6e6e6\"\n          />\n          <g\n            v-for=\"(category, i) in chartData.categories\"\n            :key=\"`major-bar-group-${i}`\"\n            :transform=\"`translate(0, ${yScaleMajor(i) - majorGroupHeight/2})`\"\n          >\n            <MultilineText\n              v-for=\"(subCategory, j) in wrappedSubCategories\"\n              :key=\"`subCategory-axis-label-${i}-${j}`\"\n              :lines=\"subCategory.lines\"\n              :x=\"minorLabelX\"\n              :y=\"yScaleMinor(j) - subCategory.height/2\"\n              x-align=\"right\"\n              :font=\"subCategoryFont\"\n            />\n            <GraphChartBar\n              v-for=\"(d, j) in chartData.data[i]\"\n              :key=\"`bar-${i}-${j}`\"\n              :cell=\"d\"\n              :x-scale=\"xScale\"\n              :y=\"yScaleMinor(j)\"\n              :height=\"space.barHeight\"\n              :color=\"colorScale(chartData.subCategories[j])\"\n              :show-confidence-interval=\"showConfidenceInterval\"\n              :show-percentages=\"showPercentages\"\n              :suppression-symbol=\"suppressionSymbol\"\n              :suppression-symbol-font=\"suppressionSymbolFont\"\n              :benchmark-symbol=\"benchmarkSymbol\"\n              :benchmark-symbol-font=\"benchmarkSymbolFont\"\n              @onMouseEnter=\"onMouseEnterBar($event.coords, i, j)\"\n              @onMouseLeave=\"onMouseLeaveBar()\"\n            />\n          </g>\n        </template>\n        <template v-else>\n          <GraphChartBar\n            v-for=\"(d, i) in chartData.data\"\n            :key=\"`bar-${i}`\"\n            :cell=\"d[0]\"\n            :x-scale=\"xScale\"\n            :y=\"yScaleMajor(i)\"\n            :height=\"space.barHeight\"\n            :color=\"colorScale(chartData.categories[i])\"\n            :show-confidence-interval=\"showConfidenceInterval\"\n            :show-percentages=\"showPercentages\"\n            :suppression-symbol=\"suppressionSymbol\"\n            :suppression-symbol-font=\"suppressionSymbolFont\"\n            :benchmark-symbol=\"benchmarkSymbol\"\n            :benchmark-symbol-font=\"benchmarkSymbolFont\"\n            @onMouseEnter=\"onMouseEnterBar($event.coords, i, 0)\"\n            @onMouseLeave=\"onMouseLeaveBar()\"\n          />\n        </template>\n      </g>\n    </svg>\n    <div\n      id=\"dashboard-chart-tooltip\"\n      class=\"dashboard-chart-tooltip\"\n      v-if=\"showTooltip\"\n      :style=\"tooltipStyle\"\n    >\n      <p><b>{{ tooltipHeader }}</b></p>\n      <template v-if=\"tooltipCell.suppressed\">\n        <p>Results have been suppressed.</p>\n      </template>\n      <template v-else>\n        <dl>\n          <div>\n            <dt>{{ tooltipPercentageLabel }}:</dt>\n            <dd>{{ prettyPrintProportion(tooltipCell.proportion) }}</dd>\n          </div>\n          <div>\n            <dt>95% CI for percentage:</dt>\n            <dd>{{ prettyPrintProportionCI(tooltipCell.ciProportion) }}</dd>\n          </div>\n          <div v-if=\"tooltipCell.benchmark\">\n            <dt>CG-CAHPS benchmark for percentage:</dt>\n            <dd>{{ tooltipCell.benchmark }}</dd>\n          </div>\n          <div>\n            <dt>Sample size:</dt>\n            <dd>{{ prettyPrintSampleSize(tooltipCell.sampleSize) }}</dd>\n          </div>\n          <div>\n            <dt>Population size:</dt>\n            <dd>{{ prettyPrintPopulationSize(tooltipCell.numerator) }}</dd>\n          </div>\n          <div>\n            <dt>95% CI for population size:</dt>\n            <dd>{{ prettyPrintPopulationSizeCI(tooltipCell.ciNumerator) }}</dd>\n          </div>\n        </dl>\n      </template>\n    </div>\n  </div>\n</template>\n\n<script>\nimport { scaleLinear, scaleOrdinal } from 'd3-scale'\nimport { debounce } from 'debounce'\nimport GraphChartBar from './GraphChartBar.vue'\nimport MultilineText from './MultilineText.vue'\nimport {\n  prettyPrintProportion,\n  prettyPrintProportionCI,\n  prettyPrintSampleSize,\n  prettyPrintPopulationSize,\n  prettyPrintPopulationSizeCI\n} from '../utils.js'\n\nexport default {\n  name: 'GraphChart',\n  components: { GraphChartBar, MultilineText },\n  props: {\n    chart: {\n      type: Object,\n      default: null\n    }\n  },\n  data () {\n    return {\n      width: 0,\n      showTooltip: false,\n      tooltipCell: null,\n      tooltipCellCategory: null,\n      tooltipCellSubCategory: null,\n      tooltipTargetCoords: null,\n      xAxisTitleFont: { size: '12px', family: 'Source Sans Pro, sans-serif', lineHeight: '1.2em', color: '#666666' },\n      xAxisTickLabelFont: { size: '11px', family: 'Source Sans Pro, sans-serif', lineHeight: '1.2em', color: '#666666' },\n      yAxisHeaderFont: { size: '12px', family: 'Source Sans Pro, sans-serif', lineHeight: '1.2em', color: '#666666' },\n      chartTitleFont: { size: '18px', family: 'Merriweather, serif', lineHeight: '1.2em', color: '#112e51' },\n      chartSubtitleFont: { size: '12px', family: 'Merriweather, serif', lineHeight: '1.2em', color: '#112e51' },\n      categoryFont: { size: '14px', family: 'Source Sans Pro, sans-serif', lineHeight: '1.1em', color: '#272727' },\n      subCategoryFont: { size: '14px', family: 'Source Sans Pro, sans-serif', lineHeight: '1.1em', color: '#272727' },\n      suppressionSymbolFont: { size: '16px', family: 'Merriweather, serif', lineHeight: '1.1em', color: '#323a45' },\n      benchmarkSymbolFont: { size: '20px', family: 'Roboto Mono Dagger, sans-serif', lineHeight: '1.1em', color: '#636363' },\n      space: {\n        belowTitle: 16,\n        belowSubtitle: 24,\n        aboveFootnotes: 12,\n        maxMajorLabelWidth: 125,\n        maxMinorLabelWidth: 125,\n        maxMajorOnlyLabelWidth: 175,\n        betweenYAxisAndLabel: 16,\n        betweenMinorAndMajorLabel: 16,\n        betweenXAxisAndMajorOnlyRow: 8,\n        betweenXAxisAndMajorGroup: 20,\n        betweenMinorRows: 6,\n        betweenMajorGroups: 40,\n        betweenMajorOnlyRows: 8,\n        barHeight: 20,\n        rightOfPlot: 10\n      }\n    }\n  },\n  computed: {\n    height () {\n      return this.plotHeight + this.bufferTop + this.bufferBottom\n    },\n    viewbox () {\n      return `0 0 ${this.width} ${this.height}`\n    },\n    hasMinorLabels () {\n      return this.chartData.subCategories\n    },\n    majorLabelWidth () {\n      const labelWidths = this.chartData.categories.map(c => calculateTextWidth(c, this.categoryFont))\n      const maxLabelWidth = Math.max(...labelWidths)\n      const headerWidth = calculateTextWidth(`[${this.majorQuestionId}]`, this.yAxisHeaderFont)\n      const maxAllowedWidth = this.hasMinorLabels ? this.space.maxMajorLabelWidth : this.space.maxMajorOnlyLabelWidth\n      return Math.max(headerWidth, Math.min(maxLabelWidth, maxAllowedWidth))\n    },\n    minorLabelWidth () {\n      if (this.hasMinorLabels) {\n        const labelWidths = this.chartData.subCategories.map(c => calculateTextWidth(c, this.subCategoryFont))\n        const maxLabelWidth = Math.max(...labelWidths)\n        const headerWidth = calculateTextWidth(`[${this.minorQuestionId}]`, this.yAxisHeaderFont)\n        const maxAllowedWidth = this.space.maxMinorLabelWidth\n        return Math.max(headerWidth, Math.min(maxLabelWidth, maxAllowedWidth))\n      } else {\n        return 0\n      }\n    },\n    maxMajorLabelHeight () {\n      return Math.max(...this.wrappedCategories.map(c => c.height), this.space.barHeight)\n    },\n    majorLabelHeights () {\n      return this.wrappedCategories.map(c => this.maxMajorLabelHeight)\n    },\n    cumulativeMajorLabelHeights () {\n      return this.majorLabelHeights.reduce((arr, height) => {\n        arr.push(arr[arr.length - 1] + height)\n        return arr\n      }, [0])\n    },\n    sumMajorLabelHeights () {\n      return this.cumulativeMajorLabelHeights[this.cumulativeMajorLabelHeights.length - 1]\n    },\n    minorLabelHeights () {\n      if (this.chartData.subCategories) {\n        return this.wrappedSubCategories.map(c => Math.max(this.space.barHeight, c.height))\n      }\n      return []\n    },\n    cumulativeMinorLabelHeights () {\n      if (this.chartData.subCategories) {\n        return this.minorLabelHeights.reduce((arr, height) => {\n          arr.push(arr[arr.length - 1] + height)\n          return arr\n        }, [0])\n      }\n      return [0]\n    },\n    sumMinorLabelHeights () {\n      return this.cumulativeMinorLabelHeights[this.cumulativeMinorLabelHeights.length - 1]\n    },\n    minorGroupHeight () {\n      if (this.hasMinorLabels) {\n        const minorGaps = this.chartData.data[0].length - 1\n        return (\n          this.sumMinorLabelHeights +\n          (minorGaps * this.space.betweenMinorRows)\n        )\n      } else {\n        return 0\n      }\n    },\n    majorGroupHeight () {\n      if (this.hasMinorLabels) {\n        return Math.max(this.minorGroupHeight, this.maxMajorLabelHeight)\n      } else {\n        return 0\n      }\n    },\n    majorLabelX () {\n      if (this.hasMinorLabels) {\n        return -(\n          this.space.betweenMinorAndMajorLabel +\n          this.minorLabelWidth +\n          this.space.betweenYAxisAndLabel\n        )\n      } else {\n        return -this.space.betweenYAxisAndLabel\n      }\n    },\n    minorLabelX () {\n      return -this.space.betweenYAxisAndLabel\n    },\n    bufferTop () {\n      return (\n        this.wrappedChartTitle.height +\n        this.space.belowTitle +\n        this.wrappedChartSubtitle.height +\n        this.space.belowSubtitle +\n        this.xAxisTickAndTitleHeight\n      )\n    },\n    bufferBottom () {\n      return this.xAxisTickAndTitleHeight + this.space.aboveFootnotes\n    },\n    bufferLeft () {\n      if (this.hasMinorLabels) {\n        return (\n          this.majorLabelWidth +\n          this.space.betweenMinorAndMajorLabel +\n          this.minorLabelWidth +\n          this.space.betweenYAxisAndLabel\n        )\n      } else {\n        return this.majorLabelWidth + this.space.betweenYAxisAndLabel\n      }\n    },\n    bufferRight () {\n      return this.space.rightOfPlot\n    },\n    plotWidth () {\n      return this.width - this.bufferLeft - this.bufferRight\n    },\n    plotHeight () {\n      // Insert a major gap between each major label/group.\n      const majorGaps = this.chartData.data.length - 1\n\n      if (this.hasMinorLabels) {\n        return (2 * this.space.betweenXAxisAndMajorGroup) +\n          (this.chartData.data.length * this.majorGroupHeight) +\n          (majorGaps * this.space.betweenMajorGroups)\n      } else {\n        return (2 * this.space.betweenXAxisAndMajorOnlyRow) +\n          this.sumMajorLabelHeights +\n          (majorGaps * this.space.betweenMajorOnlyRows)\n      }\n    },\n    xScale () {\n      let domain\n      if (this.showPercentages) {\n        domain = [0, 100]\n      } else {\n        let maxX = 0\n        this.chartData.data.forEach(byGroup => {\n          byGroup.forEach(cell => {\n            if (cell.isSuppressed) {\n              return\n            }\n            if (!isNaN(cell.ciNumerator.upper)) {\n              maxX = Math.max(maxX, cell.ciNumerator.upper)\n            } else {\n              maxX = Math.max(maxX, cell.numerator)\n            }\n          })\n        })\n        domain = [0, maxX]\n      }\n      return scaleLinear().domain(domain).range([0, this.plotWidth]).nice()\n    },\n    xTickCount () {\n      return this.width > 500 ? 11 : 6\n    },\n    xTicks () {\n      return this.xScale.ticks(this.xTickCount)\n    },\n    xTickFormatter () {\n      return this.xScale.tickFormat(this.xTickCount, 's')\n    },\n    xAxisTickAndTitleHeight () {\n      return 40\n    },\n    yScaleMajor () {\n      if (this.hasMinorLabels) {\n        return i => {\n          return (\n            this.space.betweenXAxisAndMajorGroup +\n            i * this.space.betweenMajorGroups +\n            i * this.majorGroupHeight +\n\n            // Move to the center of this label.\n            this.majorGroupHeight / 2\n          )\n        }\n      } else {\n        return i => {\n          return (\n            this.space.betweenXAxisAndMajorOnlyRow +\n            i * this.space.betweenMajorOnlyRows +\n\n            // Element i of this array is the cumulative height of all labels before\n            // label i.\n            this.cumulativeMajorLabelHeights[i] +\n\n            // Move to the center of this label.\n            this.majorLabelHeights[i] / 2\n          )\n        }\n      }\n    },\n    yScaleMinor () {\n      return i => {\n        return (\n          // Account for the rare case where the major label is so long that it\n          // wraps to a height taller than the combined minor labels. In that\n          // case, we want to center the collection of minor labels within the\n          // space afforded to the major label, so we need to shift the minor\n          // collection down.\n          (this.majorGroupHeight - this.minorGroupHeight) / 2 +\n\n          // Use i instead of i+1 because we don't want to add space above the\n          // first minor row. The space between major groups already gives us that.\n          i * this.space.betweenMinorRows +\n\n          // Element i of this array is the cumulative height of all labels before\n          // label i.\n          this.cumulativeMinorLabelHeights[i] +\n\n          // Move to the center of this label.\n          this.minorLabelHeights[i] / 2\n        )\n      }\n    },\n    colorScale () {\n      const colors = ['#204593', '#2e8540', '#fdb81e', '#b0d324', '#fb6a4a', '#4c2c92', '#981b1e', '#267cb8', '#5dc01d', '#9976ec', '#d62a23']\n      if (this.hasMinorLabels) {\n        return scaleOrdinal().domain(this.chartData.subCategories).range(colors)\n      }\n      return scaleOrdinal().domain(this.chartData.categories).range([colors[0]])\n    },\n    xAxisTitle () {\n      return this.showPercentages\n        ? (this.hasMinorLabels ? `Percentage within [${this.majorQuestionId}] category` : 'Percentage')\n        : 'Population Size'\n    },\n    showPercentages () {\n      return this.getFilter('showPercentage')\n    },\n    showConfidenceInterval () {\n      return this.getFilter('confidenceInterval')\n    },\n    chartData () {\n      return this.getChartData(this.chart.key)\n    },\n    majorQuestionId () {\n      return this.chartData.categoryId\n    },\n    minorQuestionId () {\n      return this.chartData.subCategoryId\n    },\n    wrappedChartTitle () {\n      return wrapText(this.chartData.title, this.width, this.chartTitleFont)\n    },\n    wrappedChartSubtitle () {\n      return wrapText(this.chartData.subtitle, this.width, this.chartSubtitleFont)\n    },\n    wrappedCategories () {\n      return this.chartData.categories.map(category => {\n        return wrapText(category, this.majorLabelWidth, this.categoryFont)\n      })\n    },\n    wrappedSubCategories () {\n      if (this.hasMinorLabels) {\n        return this.chartData.subCategories.map(c => {\n          return wrapText(c, this.minorLabelWidth, this.subCategoryFont)\n        })\n      } else {\n        return null\n      }\n    },\n    tooltipStyle () {\n      const vw = window.visualViewport.width\n      const x = this.tooltipTargetCoords.x\n      const left = Math.min(vw - 400, x)\n\n      return {\n        left: `${left}px`,\n        top: `${this.tooltipTargetCoords.bbox.top}px`,\n        transform: 'translate(0, -100%)'\n      }\n    },\n    tooltipHeader () {\n      const majorCat = this.tooltipCellCategory\n      const minorCat = this.tooltipCellSubCategory\n      if (this.minorQuestionId) {\n        return `[${this.majorQuestionId}] ${majorCat}, [${this.minorQuestionId}] ${minorCat}`\n      } else {\n        return `[${this.majorQuestionId}] ${majorCat}`\n      }\n    },\n    tooltipPercentageLabel () {\n      const majorCat = this.tooltipCellCategory\n      if (this.minorQuestionId) {\n        return `Percentage within [${this.majorQuestionId}] ${majorCat}`\n      } else {\n        return 'Percentage'\n      }\n    },\n    suppressionSymbol () {\n      return this.chartData.footnotes.suppressed ? this.chartData.footnotes.suppressed.symbol : ''\n    },\n    benchmarkSymbol () {\n      return this.chartData.footnotes.benchmark.symbol\n    }\n  },\n  methods: {\n    onMouseEnterBar (coords, i, j) {\n      this.showTooltip = true\n      this.tooltipCell = this.chartData.data[i][j]\n      this.tooltipCellCategory = this.chartData.categories[i]\n      if (this.hasMinorLabels) {\n        this.tooltipCellSubCategory = this.chartData.subCategories[j]\n      }\n      this.tooltipTargetCoords = coords\n    },\n    onMouseLeaveBar () {\n      this.showTooltip = false\n      this.tooltipCell = null\n      this.tooltipCellCategory = null\n      this.tooltipCellSubCategory = null\n      this.tooltipTargetCoords = null\n    },\n    setWidth () {\n      const el = document.getElementById('dashboard-chart-container')\n      const rect = el.getBoundingClientRect()\n      this.width = rect.width\n      this.resizeCounter++\n    },\n    prettyPrintProportion,\n    prettyPrintProportionCI,\n    prettyPrintSampleSize,\n    prettyPrintPopulationSize,\n    prettyPrintPopulationSizeCI\n  },\n  created () {\n    this.setWidth()\n    this.debounceSetWidth = debounce(this.setWidth, 100)\n    window.addEventListener('resize', this.debounceSetWidth)\n  },\n  destroyed () {\n    window.removeEventListener('resize', this.debounceSetWidth)\n  }\n}\n\nfunction calculateTextWidth (text, font) {\n  const ns = 'http://www.w3.org/2000/svg'\n  const svgElement = document.createElementNS(ns, 'svg')\n  const textElement = document.createElementNS(ns, 'text')\n\n  svgElement.setAttribute('width', 0)\n  svgElement.setAttribute('height', 0)\n  svgElement.setAttribute('aria-hidden', true)\n  textElement.setAttribute('font-family', font.family)\n  textElement.setAttribute('font-size', font.size)\n\n  document.getElementById('dashboard-chart-container').append(svgElement)\n  svgElement.append(textElement)\n  textElement.append(text)\n\n  const { width } = textElement.getBBox()\n\n  svgElement.remove()\n\n  return width\n}\n\nfunction wrapText (text, maxWidth, font) {\n  const ns = 'http://www.w3.org/2000/svg'\n  const svgElement = document.createElementNS(ns, 'svg')\n  const textElement = document.createElementNS(ns, 'text')\n  const tspanElement = document.createElementNS(ns, 'tspan')\n  const textNode = document.createTextNode('')\n\n  svgElement.setAttribute('width', 0)\n  svgElement.setAttribute('height', 0)\n  svgElement.setAttribute('aria-hidden', true)\n  textElement.setAttribute('font-family', font.family)\n  textElement.setAttribute('font-size', font.size)\n\n  document.getElementById('dashboard-chart-container').append(svgElement)\n  svgElement.append(textElement)\n  textElement.append(tspanElement)\n  tspanElement.append(textNode)\n\n  // This algorithm's approach is to split the text into words, then try adding\n  // one word at a time to the current line. If the measured length of the line\n  // exceeds the max width, then remove the last word from the current line and\n  // start a new line with that word.\n  //\n  // The naive way to split the text into words is to split on spaces. However,\n  // our text has several instances of slash-separated words like\n  // \"hassle/paperwork/benefit\", which won't fit on a single line without\n  // additional splitting. Therefore, split on spaces, slashes, and hyphens.\n  // The regex is written so that the delimiters are returned as separate\n  // tokens. A positive lookbehind regex (/(?<=[ /-])/g) would have worked as\n  // well, but those aren't supported by Safari at the time of writing.\n  //\n  // Even after splitting on spaces, slashes, and hyphens, if a word is so long\n  // that it won't fit on a line, this algorithm will as a last resort break the\n  // word somewhere in the middle. This part of the algorithm won't handle a\n  // super-long word that must wrap to a third line.\n\n  const words = text.split(/([\\s/-]+)/).filter(w => w !== '')\n  let currentLineWords = []\n  const lines = []\n\n  for (let i = 0; i < words.length; i++) {\n    currentLineWords.push(words[i])\n    textNode.data = currentLineWords.join('').replace(/\\s+$/, '')\n    if (textElement.getBBox().width > maxWidth) {\n      currentLineWords.pop()\n      if (currentLineWords.length > 0) {\n        lines.push(currentLineWords.join('').replace(/\\s+$/, ''))\n        currentLineWords = []\n        i--\n      } else {\n        for (let j = 0; j < words[i].length; j++) {\n          currentLineWords.push(words[i][j])\n          textNode.data = currentLineWords.join('').replace(/\\s+$/, '')\n          if (textElement.getBBox().width > maxWidth) {\n            currentLineWords.pop()\n            lines.push(currentLineWords.join('').replace(/\\s+$/, ''))\n            currentLineWords = []\n            j--\n          }\n        }\n      }\n    }\n  }\n  lines.push(currentLineWords.join('').replace(/\\s+$/, ''))\n\n  tspanElement.remove()\n  lines.forEach((line, i) => {\n    const lineTspanElement = document.createElementNS(ns, 'tspan')\n    lineTspanElement.setAttribute('x', 0)\n    lineTspanElement.setAttribute('dy', i === 0 ? 0 : font.lineHeight)\n    lineTspanElement.append(line)\n    textElement.append(lineTspanElement)\n  })\n  const { width, height } = textElement.getBBox()\n\n  svgElement.remove()\n\n  return { text, lines, width, height }\n}\n</script>\n\n<style lang=\"scss\" scoped>\n.dashboard-chart-tooltip {\n  position: fixed;\n  max-width: 30em;\n  padding: 6px 10px;\n  background-color: #fff;\n  border: solid 1px #b9b9b9;\n  border-radius: 4px;\n  box-shadow: 2px 2px 6px #cccccc;\n\n  p {\n    margin-bottom: 0;\n  }\n\n  dl {\n    margin-bottom: 0;\n  }\n\n  dt {\n    font-weight: normal;\n    display: inline-block;\n  }\n\n  dd {\n    margin: 0 0 0 0.5em;\n    display: inline-block;\n  }\n}\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./GraphChart.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./GraphChart.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./GraphChart.vue?vue&type=template&id=4dbbff44&scoped=true&\"\nimport script from \"./GraphChart.vue?vue&type=script&lang=js&\"\nexport * from \"./GraphChart.vue?vue&type=script&lang=js&\"\nimport style0 from \"./GraphChart.vue?vue&type=style&index=0&id=4dbbff44&lang=scss&scoped=true&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"4dbbff44\",\n  null\n  \n)\n\nexport default component.exports","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{staticClass:\"harness-accordion-menu\"},[_c('div',{staticClass:\"search-box\"},[_c('input',{directives:[{name:\"model\",rawName:\"v-model\",value:(_vm.searchString),expression:\"searchString\"}],attrs:{\"type\":\"text\",\"placeholder\":\"Search...\",\"aria-label\":\"Search the survey questions\"},domProps:{\"value\":(_vm.searchString)},on:{\"input\":[function($event){if($event.target.composing){ return; }_vm.searchString=$event.target.value},_vm.onSearchChange]}}),_c('button',{attrs:{\"aria-label\":\"Clear the search term\"},on:{\"click\":_vm.clearSearch}},[_c('i',{staticClass:\"bi bi-x-circle\"})])]),_vm._l((_vm.accordionData),function(module){return _c('accordion-group',{key:module.key,attrs:{\"group\":module,\"is-selected\":_vm.isGroupExpanded(module.key),\"selected-value\":_vm.getFilter(_vm.filter.key),\"get-value-properties\":_vm.getValueProperties,\"use-sub-selection\":_vm.$attrs['use-sub-selection'],\"selected-question\":_vm.selectedQuestion,\"expanded-question\":_vm.expandedQuestion,\"selected-levels\":_vm.$attrs['selected-levels'],\"search-string\":_vm.searchString},on:{\"onExpandGroup\":function($event){return _vm.expandGroup(module.key)},\"onExpandQuestion\":function($event){return _vm.expandQuestion($event)},\"onSelectQuestion\":function($event){return _vm.selectQuestion($event)}}})})],2)}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',{staticClass:\"harness-accordion-group\",class:{ active: _vm.isSelected }},[_c('button',{staticClass:\"header\",on:{\"click\":_vm.selectGroup}},[_c('accordion-caret',{attrs:{\"is-open\":_vm.isSelected}}),_vm._v(\" \"+_vm._s(_vm.group.key)+\" \")],1),(_vm.isSelected)?_c('ul',_vm._l((_vm.group.members),function(m){return _c('accordion-group-value',{key:m,attrs:{\"id\":m,\"is-selected\":_vm.selectedQuestion != null && _vm.selectedQuestion.id === m,\"would-replace-selection\":_vm.selectedQuestion !== null && _vm.selectedQuestion.id !== m,\"get-value-properties\":_vm.getValueProperties,\"use-sub-selection\":_vm.useSubSelection,\"selected-levels\":_vm.selectedLevels,\"search-string\":_vm.searchString,\"is-expanded\":_vm.expandedQuestion === m},on:{\"onToggleExpansion\":function($event){return _vm.$emit('onExpandQuestion', Object.assign({}, {id: m}, $event))},\"onSelectQuestion\":function($event){return _vm.$emit('onSelectQuestion', Object.assign({}, {id: m}, $event))}}})}),1):_vm._e()])}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('i',{staticClass:\"bi\",class:{ 'bi-chevron-down': _vm.isOpen, 'bi-chevron-right': !_vm.isOpen }})}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\n  <i\n    class=\"bi\"\n    :class=\"{ 'bi-chevron-down': isOpen, 'bi-chevron-right': !isOpen }\"\n  />\n</template>\n\n<script>\nexport default {\n  name: 'AccordionCaret',\n  props: {\n    isOpen: {\n      type: Boolean,\n      default: false\n    }\n  }\n}\n</script>\n\n<style lang=\"scss\" scoped>\n\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./AccordionCaret.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./AccordionCaret.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./AccordionCaret.vue?vue&type=template&id=75db83c4&scoped=true&\"\nimport script from \"./AccordionCaret.vue?vue&type=script&lang=js&\"\nexport * from \"./AccordionCaret.vue?vue&type=script&lang=js&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"75db83c4\",\n  null\n  \n)\n\nexport default component.exports","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('li',{staticClass:\"accordion-group-value\",class:{ active: _vm.isExpanded, selected: _vm.isSelected }},[_c('div',{staticClass:\"header\"},[_c('button',{staticClass:\"header-click-area\",on:{\"click\":function($event){return _vm.toggleExpansion()}}},[_c('accordion-caret',{attrs:{\"is-open\":_vm.isExpanded}}),_c('span',{staticClass:\"accordion-group-value-label\",domProps:{\"innerHTML\":_vm._s(_vm.formattedLabel)}})],1)]),(_vm.isExpanded)?_c('div',{staticClass:\"options row\"},[_c('div',{staticClass:\"options-left col-9\"},[_c('dl',[_c('dt',[_vm._v(\"Possible Categories\")]),_c('dd',[_c('ul',{class:_vm.useSubSelection && 'no-bullet-list'},_vm._l((_vm.allLevels),function(l,i){return _c('li',{key:l.order},[(_vm.useSubSelection)?[_c('input',{attrs:{\"type\":\"checkbox\",\"id\":(\"checkbox-\" + i),\"name\":i},domProps:{\"checked\":_vm.localSelectedLevels[i]},on:{\"click\":function($event){return _vm.toggleLevel(i)}}}),_c('label',{staticClass:\"category-checkbox-label\",attrs:{\"for\":(\"checkbox-\" + i)}},[_vm._v(\" \"+_vm._s(l.label)+\" \")])]:[_vm._v(\" \"+_vm._s(l.label)+\" \")]],2)}),0),(_vm.useSubSelection)?_c('div',[_c('button',{staticClass:\"select-button\",on:{\"click\":_vm.selectAll}},[_vm._v(\" Select All \")]),_c('button',{staticClass:\"select-button\",on:{\"click\":_vm.unselectAll}},[_vm._v(\" Unselect All \")])]):_vm._e()]),_c('dt',[_vm._v(\"PUF Variable Name\")]),_c('dd',[_vm._v(\"[\"+_vm._s(_vm.id)+\"]\")]),_c('dt',[_vm._v(\"Applicable Population\")]),_c('dd',[_vm._v(_vm._s(_vm.applicablePopulation))])])]),_c('div',{staticClass:\"options-right col-3\"},[_c('button',{staticClass:\"apply-button\",attrs:{\"disabled\":_vm.useSubSelection && (!_vm.hasMadeSelection || _vm.hasSelectedAll)},on:{\"click\":function($event){return _vm.onApply()}}},[_vm._v(\" Apply \"),_c('i',{staticClass:\"bi bi-check-circle-fill\"})]),(_vm.useSubSelection && !_vm.hasMadeSelection)?_c('p',{staticClass:\"error-message\"},[_vm._v(\" Please select at least one category. \")]):_vm._e(),(_vm.useSubSelection && _vm.hasSelectedAll)?_c('p',{staticClass:\"error-message\"},[_vm._v(\" Please unselect at least one category. \")]):_vm._e(),(_vm.useSubSelection && _vm.wouldReplaceSelection && _vm.hasMadeSelection && !_vm.hasSelectedAll)?_c('p',{staticClass:\"warning-message\"},[_vm._v(\" This will replace the existing filter. \")]):_vm._e()])]):_vm._e()])}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\n  <li\n    class=\"accordion-group-value\"\n    :class=\"{ active: isExpanded, selected: isSelected }\"\n  >\n    <div class=\"header\">\n      <button\n        class=\"header-click-area\"\n        @click=\"toggleExpansion()\"\n      >\n        <accordion-caret :is-open=\"isExpanded\" />\n        <span\n          class=\"accordion-group-value-label\"\n          v-html=\"formattedLabel\"\n        />\n      </button>\n    </div>\n    <div\n      v-if=\"isExpanded\"\n      class=\"options row\"\n    >\n      <div class=\"options-left col-9\">\n        <dl>\n          <dt>Possible Categories</dt>\n          <dd>\n            <ul :class=\"useSubSelection && 'no-bullet-list'\">\n              <li\n                v-for=\"(l, i) in allLevels\"\n                :key=\"l.order\"\n              >\n                <template v-if=\"useSubSelection\">\n                  <input\n                    type=\"checkbox\"\n                    :id=\"`checkbox-${i}`\"\n                    :name=\"i\"\n                    :checked=\"localSelectedLevels[i]\"\n                    @click=\"toggleLevel(i)\"\n                  >\n                  <label\n                    class=\"category-checkbox-label\"\n                    :for=\"`checkbox-${i}`\"\n                  >\n                    {{ l.label }}\n                  </label>\n                </template>\n                <template v-else>\n                  {{ l.label }}\n                </template>\n              </li>\n            </ul>\n\n            <div v-if=\"useSubSelection\">\n              <button\n                @click=\"selectAll\"\n                class=\"select-button\"\n              >\n                Select All\n              </button>\n              <button\n                @click=\"unselectAll\"\n                class=\"select-button\"\n              >\n                Unselect All\n              </button>\n            </div>\n          </dd>\n\n          <dt>PUF Variable Name</dt>\n          <dd>[{{ id }}]</dd>\n          <dt>Applicable Population</dt>\n          <dd>{{ applicablePopulation }}</dd>\n        </dl>\n      </div>\n      <div class=\"options-right col-3\">\n        <button\n          class=\"apply-button\"\n          :disabled=\"useSubSelection && (!hasMadeSelection || hasSelectedAll)\"\n          @click=\"onApply()\"\n        >\n          Apply <i class=\"bi bi-check-circle-fill\" />\n        </button>\n        <p\n          v-if=\"useSubSelection && !hasMadeSelection\"\n          class=\"error-message\"\n        >\n          Please select at least one category.\n        </p>\n\n        <p\n          v-if=\"useSubSelection && hasSelectedAll\"\n          class=\"error-message\"\n        >\n          Please unselect at least one category.\n        </p>\n\n        <p\n          v-if=\"useSubSelection && wouldReplaceSelection && hasMadeSelection && !hasSelectedAll\"\n          class=\"warning-message\"\n        >\n          This will replace the existing filter.\n        </p>\n      </div>\n    </div>\n  </li>\n</template>\n\n<script>\nimport AccordionCaret from './AccordionCaret.vue'\nexport default {\n  components: { AccordionCaret },\n  name: 'AccordionGroupValue',\n  props: {\n    id: {\n      type: String,\n      default: null\n    },\n    isSelected: {\n      type: Boolean,\n      default: null\n    },\n    wouldReplaceSelection: {\n      type: Boolean,\n      default: null\n    },\n    isExpanded: {\n      type: Boolean,\n      default: null\n    },\n    getValueProperties: {\n      type: Function,\n      default: null\n    },\n    useSubSelection: {\n      type: Boolean,\n      default: false\n    },\n    selectedLevels: {\n      type: Object,\n      default: null\n    },\n    searchString: {\n      type: String,\n      default: null\n    }\n  },\n  data () {\n    const allLevels = this.getValueProperties(this.id).levels\n    const levelToggles = allLevels.map(al => {\n      if (this.selectedLevels == null || this.selectedLevels.id !== this.id) {\n        return !this.useSubSelection\n      }\n\n      return this.selectedLevels.levels.find(sl => sl.value === al.value) != null\n    })\n\n    return {\n      allLevels,\n      localSelectedLevels: levelToggles\n    }\n  },\n  computed: {\n    properties () {\n      return this.getValueProperties(this.id)\n    },\n    label () {\n      return this.properties.label || '---'\n    },\n    formattedLabel () {\n      if (this.searchString == null || this.searchString.length === 0) {\n        return this.label\n      }\n\n      const regex = new RegExp(this.searchString, 'gi')\n      const label = this.label.replace(regex, '<span class=\"search-highlight\">$&</span>')\n\n      if (this.id.match(regex)) {\n        return `[${this.id.replace(regex, '<span class=\"search-highlight\">$&</span>')}] ${label}`\n      } else {\n        return label\n      }\n    },\n    applicablePopulation () {\n      return this.properties.pop\n    },\n    hasMadeSelection () {\n      return this.localSelectedLevels.reduce((a, c) => a || c, false)\n    },\n    hasSelectedAll () {\n      return this.localSelectedLevels.reduce((a, c) => a && c, true)\n    }\n  },\n  methods: {\n    toggleExpansion () {\n      this.$emit('onToggleExpansion', { expand: !this.isExpanded })\n    },\n    onApply () {\n      const levels = this.allLevels\n        .filter((l, i) => this.localSelectedLevels[i])\n        .map(l => l.value)\n\n      this.$emit('onSelectQuestion', { levels })\n    },\n    toggleLevel (i) {\n      const levels = [...this.localSelectedLevels]\n      levels[i] = !levels[i]\n      this.localSelectedLevels = levels\n    },\n    selectAll () {\n      this.localSelectedLevels = this.localSelectedLevels.map(l => true)\n    },\n    unselectAll () {\n      this.localSelectedLevels = this.localSelectedLevels.map(l => false)\n    }\n  },\n  emits: ['onToggleExpansion', 'onSelectQuestion']\n}\n</script>\n\n<style lang=\"scss\" scoped>\n.accordion-group-value {\n  padding: 4px;\n  padding-left: 12px;\n  min-height: 1em;\n  color: #575757;\n  transition: background-color 400ms ease;\n  position: relative;\n\n  .header {\n    display: flex;\n    width: 100%;\n    border-bottom: 1px dotted #aaa;\n\n    .header-click-area {\n      flex: 1 1 auto;\n      display: flex;\n      text-align: left;\n      column-gap: 8px;\n    }\n\n    .accordion-caret {\n      margin-top: 5px;\n    }\n\n    .accordion-group-value-label {\n      font-size: 14px;\n      font-weight: bold;\n      flex: 1 1 auto;\n    }\n\n    button {\n      border: 0px;\n    }\n  }\n\n  &:hover {\n /* hrsa dashboard style guide color*/\n    //background-color: #bed8ea;\n\n    //paler alternate\n    background-color: #edf1f7;\n  }\n\n  &.active {\n    border: 2px solid #dce4ef;\n    background-color: #edf1f7;\n\n// this is blue sidebar indicator\n    &:before {\n      content: '';\n      background-color: #69aed8;\n      height: 100%;\n      width: 6px;\n      position: absolute;\n      left: -2px;\n      top: 0;\n    }\n  }\n\n  &.selected {\n    background-color: #edf1f7;\n\n    .accordion-group-value-label {\n      text-decoration: underline;\n    }\n  }\n\n  .options {\n    padding: 4px;\n    padding-left: 2.5rem;\n    background: #fff;\n\n    .options-right {\n      text-align: right;\n    }\n\n    .apply-button {\n      flex: 0 0 auto;\n      transition: 300ms ease all;\n      margin-bottom: 4px;\n      margin-left: 4px;\n      padding-right: 0px;\n      border: 0px;\n      font-size:1em;\n      background: none;\n      color: #575757;\n\n      i {\n        color: #267cb8;\n        transform: scale(1.2);\n        transform-origin: left;\n        display: inline-block;\n        transition: 300ms ease all;\n      }\n\n      &:hover {\n        i{\n          color: #205492;\n          transform: scale(1.45);\n        }\n      }\n\n      &:disabled {\n        color: #aaa;\n\n        i {\n          color: #aaa;\n          transform: scale(1);\n        }\n      }\n    }\n\n    .error-message, .warning-message {\n      font-style: italic;\n      color: #981b1e;\n      line-height: 1.2em;\n      padding-right: 1.2em;\n    }\n  }\n  .accordion-group.active .accordion-group-value.active:hover {\n    background: none;\n  }\n  dt {\n    font-weight: bold;\n  }\n  dt::after {\n    content: \":\";\n  }\n  dd {\n    margin-left: 1rem;\n  }\n  dd > ul {\n    list-style-position: inside;\n    padding-left: 0;\n  }\n\n  .select-button {\n    display: inline-block;\n    transition: 300ms ease all;\n    margin-bottom: 4px;\n    margin-left: 4px;\n    border: 0px;\n    font-size:1em;\n    background: #efefef;\n\n    &:hover {\n      background: #aaa;\n    }\n  }\n\n  .no-bullet-list {\n    list-style-type: none;\n    padding: 0;\n    margin: 0;\n\n    li {\n      display: flex;\n      align-items: baseline;\n    }\n  }\n\n  .category-checkbox-label {\n    margin-bottom: 0;\n    margin-left: 0.5rem;\n  }\n}\n</style>\n\n<style lang=\"scss\">\n.search-highlight {\n  text-decoration: underline;\n  background-color: #edf1f7;\n}\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./AccordionGroupValue.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./AccordionGroupValue.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./AccordionGroupValue.vue?vue&type=template&id=412bafbf&scoped=true&\"\nimport script from \"./AccordionGroupValue.vue?vue&type=script&lang=js&\"\nexport * from \"./AccordionGroupValue.vue?vue&type=script&lang=js&\"\nimport style0 from \"./AccordionGroupValue.vue?vue&type=style&index=0&id=412bafbf&lang=scss&scoped=true&\"\nimport style1 from \"./AccordionGroupValue.vue?vue&type=style&index=1&lang=scss&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"412bafbf\",\n  null\n  \n)\n\nexport default component.exports","<template>\n  <div\n    class=\"harness-accordion-group\"\n    :class=\"{ active: isSelected }\"\n  >\n    <button\n      class=\"header\"\n      @click=\"selectGroup\"\n    >\n      <accordion-caret :is-open=\"isSelected\" />\n      {{ group.key }}\n    </button>\n\n    <ul v-if=\"isSelected\">\n      <accordion-group-value\n        v-for=\"m in group.members\"\n        :key=\"m\"\n        :id=\"m\"\n        :is-selected=\"selectedQuestion != null && selectedQuestion.id === m\"\n        :would-replace-selection=\"selectedQuestion !== null && selectedQuestion.id !== m\"\n        :get-value-properties=\"getValueProperties\"\n        :use-sub-selection=\"useSubSelection\"\n        :selected-levels=\"selectedLevels\"\n        :search-string=\"searchString\"\n        :is-expanded=\"expandedQuestion === m\"\n        @onToggleExpansion=\"$emit('onExpandQuestion', { id: m, ...$event })\"\n        @onSelectQuestion=\"$emit('onSelectQuestion', { id: m, ...$event })\"\n      />\n    </ul>\n  </div>\n</template>\n\n<script>\nimport AccordionCaret from './AccordionCaret.vue'\nimport AccordionGroupValue from './AccordionGroupValue.vue'\nexport default {\n  components: { AccordionGroupValue, AccordionCaret },\n  name: 'AccordionGroup',\n  props: {\n    group: {\n      type: Object,\n      default: () => ({\n        key: null,\n        members: []\n      })\n    },\n    getValueProperties: {\n      type: Function,\n      default: null\n    },\n    isSelected: Boolean,\n    selectedValue: {\n      type: String,\n      default: null\n    },\n    expandedQuestion: {\n      type: String,\n      default: null\n    },\n    useSubSelection: {\n      type: Boolean,\n      default: false\n    },\n    selectedQuestion: {\n      type: Object,\n      default: null\n    },\n    selectedLevels: {\n      type: Object,\n      default: null\n    },\n    searchString: {\n      type: String,\n      default: null\n    }\n  },\n  methods: {\n    selectGroup () {\n      this.$emit('onExpandGroup')\n    }\n  },\n  emits: [\n    'onExpandGroup',\n    'onExpandQuestion',\n    'onSelectQuestion'\n  ]\n}\n</script>\n\n<style lang=\"scss\" scoped>\n.harness-accordion-group {\n    transition: background-color 400ms ease;\n\n    .header {\n      width: 100%;\n      background: #fff;\n\n      font-family: Merriweather, bold;\n      color: #575757;\n      font-size: 14.5px;\n      font-weight: bold;\n\n      border: 0px;\n      border-bottom: 1px dotted #aaa;\n\n      padding: 4px;\n      padding-left: 16px;\n\n      display: flex;\n      align-items: center;\n      letter-spacing: .02em;\n      column-gap: 8px;\n    }\n\n    .header:hover {\n      background-color: #bed8ea;\n    }\n\n    &.active .header {\n        color: #575757;\n    }\n\n    ul {\n        padding: 4px 16px;\n        background-color: #fff;\n\n        list-style: none;\n    }\n}\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./AccordionGroup.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./AccordionGroup.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./AccordionGroup.vue?vue&type=template&id=f96cc6a6&scoped=true&\"\nimport script from \"./AccordionGroup.vue?vue&type=script&lang=js&\"\nexport * from \"./AccordionGroup.vue?vue&type=script&lang=js&\"\nimport style0 from \"./AccordionGroup.vue?vue&type=style&index=0&id=f96cc6a6&lang=scss&scoped=true&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"f96cc6a6\",\n  null\n  \n)\n\nexport default component.exports","<template>\n  <div class=\"harness-accordion-menu\">\n    <div class=\"search-box\">\n      <input\n        type=\"text\"\n        placeholder=\"Search...\"\n        aria-label=\"Search the survey questions\"\n        v-model=\"searchString\"\n        @input=\"onSearchChange\"\n      >\n      <button\n        @click=\"clearSearch\"\n        aria-label=\"Clear the search term\"\n      >\n        <i class=\"bi bi-x-circle\" />\n      </button>\n    </div>\n    <accordion-group\n      v-for=\"module in accordionData\"\n      :key=\"module.key\"\n      :group=\"module\"\n      :is-selected=\"isGroupExpanded(module.key)\"\n      :selected-value=\"getFilter(filter.key)\"\n      :get-value-properties=\"getValueProperties\"\n      :use-sub-selection=\"$attrs['use-sub-selection']\"\n      :selected-question=\"selectedQuestion\"\n      :expanded-question=\"expandedQuestion\"\n      :selected-levels=\"$attrs['selected-levels']\"\n      :search-string=\"searchString\"\n      @onExpandGroup=\"expandGroup(module.key)\"\n      @onExpandQuestion=\"expandQuestion($event)\"\n      @onSelectQuestion=\"selectQuestion($event)\"\n    />\n  </div>\n</template>\n\n<script>\nimport AccordionGroup from './AccordionGroup.vue'\n\nexport default {\n  name: 'AccordionFilter',\n  inheritAttrs: true,\n  props: {\n    filter: {\n      type: Object,\n      default: null\n    },\n    getValueProperties: {\n      type: Function,\n      default: null\n    }\n  },\n  components: { AccordionGroup },\n  data () {\n    return {\n      expandedGroup: [],\n      expandedQuestion: null,\n      searchString: null\n    }\n  },\n  mounted () {\n    if (this.selectedQuestion == null) {\n      return\n    }\n\n    const preSelectGroup = Object.values(this.accordionData).find(g => {\n      return g.members.find(gm => gm === this.selectedQuestion.id) != null\n    })\n\n    if (preSelectGroup) {\n      this.expandedGroup = [preSelectGroup.key]\n      this.expandedQuestion = this.selectedQuestion.id\n    }\n  },\n  computed: {\n    accordionData () {\n      const data = this.getOptionsForFilter(this.filter.key) || {}\n\n      if (this.searchString == null || this.searchString.length < 3) {\n        return data.groups\n      }\n\n      const out = {}\n      Object.keys(data.groups).forEach(k => {\n        const g = data.groups[k]\n        const filtered = g.members.filter(m => this.doesMatchSearch(m))\n\n        if (filtered.length > 0) {\n          out[k] = {\n            ...g,\n            members: filtered\n          }\n        }\n      })\n\n      return out\n    },\n    selectedQuestion () {\n      return this.$attrs['selected-question']\n    }\n  },\n  methods: {\n    expandQuestion ({ id, expand }) {\n      if (expand) {\n        this.expandedQuestion = id\n      } else {\n        this.expandedQuestion = null\n      }\n    },\n    expandGroup (key) {\n      const index = this.expandedGroup.indexOf(key)\n\n      if (index >= 0) {\n        this.expandedGroup.splice(index, 1)\n      } else {\n        this.expandedGroup.push(key)\n      }\n    },\n    selectQuestion ({ id, levels }) {\n      this.setFilter(this.filter.key, id)\n\n      const onSelect = this.$attrs['on-accordion-select']\n      if (onSelect) {\n        onSelect({ id, levels })\n      }\n    },\n    doesMatchSearch (groupValue) {\n      if (this.searchString == null) {\n        return true\n      }\n\n      const properties = this.getValueProperties(groupValue)\n      const regex = new RegExp(this.searchString, 'gi')\n      return properties.label.match(regex) || groupValue.match(regex)\n    },\n    isGroupExpanded (id) {\n      return this.expandedGroup.indexOf(id) > -1\n    },\n    onSearchChange () {\n      if (this.searchString != null && this.searchString.length > 0) {\n        this.expandedGroup = Object.keys(this.accordionData)\n      } else {\n        this.expandedGroup = []\n      }\n    },\n    clearSearch () {\n      this.searchString = null\n      this.onSearchChange()\n    }\n  }\n}\n</script>\n\n<style lang=\"scss\" scoped>\n.harness-accordion-menu {\n  min-width: 300px;\n}\n\n.search-box {\n  padding: 4px;\n  padding-left: 8px;\n  margin-bottom: 8px;\n\n  display: flex;\n\n  background-color: #fff;\n  border-radius: 8px;\n  border: 1px solid #aaa;\n\n  input {\n    flex: 1 1 auto;\n\n    width: 100%;\n    padding: 4px;\n    border: 0;\n    background: none;\n  }\n\n  button {\n    flex: 0 0 auto;\n    border: 0;\n    background: none;\n\n    transition: 300ms ease all;\n\n    &:hover {\n      color: #267cb8;\n      transform: scale(1.2);\n    }\n  }\n}\n</style>\n","import mod from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./AccordionFilter.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../node_modules/thread-loader/dist/cjs.js!../../node_modules/babel-loader/lib/index.js??clonedRuleSet-40[0].rules[0].use[1]!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./AccordionFilter.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./AccordionFilter.vue?vue&type=template&id=fb91b1fc&scoped=true&\"\nimport script from \"./AccordionFilter.vue?vue&type=script&lang=js&\"\nexport * from \"./AccordionFilter.vue?vue&type=script&lang=js&\"\nimport style0 from \"./AccordionFilter.vue?vue&type=style&index=0&id=fb91b1fc&lang=scss&scoped=true&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  \"fb91b1fc\",\n  null\n  \n)\n\nexport default component.exports","/**\n * Computes the inverse of the cumulative density function (CDF) for the\n * Student's t distribution.\n *\n * Instead of bringing in a dependency to compute this for arbitrary parameters,\n * this function hardcodes return values for the small set of parameters we'll\n * need to handle. (The degrees of freedom parameter is static for each survey,\n * and we expect to have 2-4 surveys. The area under the curve is derived from\n * the size of the confidence interval, and we expect to give the user no more\n * than 3 options for the size of the confidence interval.) The hardcoded values\n * can be found using any of several statistical tools, such as:\n *\n * - Python's scipy.stats.t.ppf()\n * - R's qt()\n * - JavaScript's jStat.studentt.inv()\n * - JavaScript's @stdlib/stats-base-dists-t-quantile\n *\n * @param {number} area Area under the CDF curve starting from -infinity.\n * @param {number} dof Degrees of freedom.\n * @return {number} The t value such that the area under the CDF curve in the range\n *     (-infinity, t) is equal to the value of the area parameter.\n */\nfunction tInverse (area, dof) {\n  if (area === 0.975 && dof === 157) {\n    return 1.975189163\n  } else if (area === 0.975 && dof === 95) {\n    return 1.985251004\n  } else if (area === 0.975 && dof === 81) {\n    return 1.989686323\n  } else {\n    throw new Error('Unsupported values for area and dof parameters')\n  }\n}\n\n/**\n * Computes the asymmetric confidence interval (CI) of a proportion.\n *\n * Because a proportion is bounded in [0, 1], its CI should be as well. This\n * function ensures that the CI is bounded in [0, 1] by allowing it be\n * asymmetric. Values close to 0 or 1 will exhibit the greatest asymmetry.\n *\n * If p is exactly 0 or 1, the confidence intervals are undefined and the\n * function returns null for both the lower and upper bounds.\n *\n * @param {number} p Proportion around which to compute the CI.\n * @param {number} v Variance of the proportion.\n * @param {number} dof Degrees of freedom.\n * @param {number} confidence Confidence level for the interval. For a 95% CI,\n *     this parameter should be 0.95.\n *\n * @return {Object} Lower and upper bounds of the confidence interval.\n */\nfunction computeCiProportion (p, v, dof, confidence) {\n  if (p === 0 || p === 1 || p === null) {\n    return { lower: null, upper: null }\n  }\n\n  const pPrime = Math.log(p) - Math.log(1 - p)\n  const sPrime = Math.sqrt(v) / (p * (1 - p))\n\n  const tArea = 1 - ((1 - confidence) / 2)\n  const t = tInverse(tArea, dof)\n\n  const lowerPrime = pPrime - t * sPrime\n  const upperPrime = pPrime + t * sPrime\n\n  const lower = Math.exp(lowerPrime) / (1 + Math.exp(lowerPrime))\n  const upper = Math.exp(upperPrime) / (1 + Math.exp(upperPrime))\n\n  return { lower: lower, upper: upper }\n}\n\n/**\n * Computes the confidence interval (CI) of a count.\n *\n * The returned CI is symmetric around the count, except when the lower CI bound\n * is negative, in which case the lower CI bound is set to 0. (Because a count\n * cannot be negative, its lower CI bound should also not be negative.)\n *\n * If the count is 0, the confidence interval is undefined and the function\n * returns null for both the lower and upper bounds.\n *\n * @param {number} x Count around which to compute the CI.\n * @param {number} v Variance of the count.\n * @param {number} dof Degrees of freedom.\n * @param {number} confidence Confidence level for the interval. For a 95% CI,\n *     this parameter should be 0.95.\n *\n * @return {Object} Lower and upper bounds of the confidence interval.\n */\nfunction computeCiCount (x, v, dof, confidence) {\n  if (x === 0 || x === null) {\n    return { lower: null, upper: null }\n  }\n\n  const s = Math.sqrt(v)\n\n  const tArea = 1 - ((1 - confidence) / 2)\n  const t = tInverse(tArea, dof)\n\n  const lower = Math.max(x - t * s, 0)\n  const upper = x + t * s\n\n  return { lower: lower, upper: upper }\n}\n\n/**\n * Computes the relative standard error (RSE) of a proportion.\n *\n * The general equation for the RSE of an estimate X is SE(X) / X. However,\n * because a proportion's properties are symmetric around 0.5, this method uses\n * a modified equation to compute RSEs that are symmetric around 0.5. For\n * example, RSE(0.1) will equal RSE(0.9), assuming the standard errors are the\n * same.\n *\n * If p is exactly 0 or 1, the RSE is undefined and the function returns null.\n *\n * @param {number} p Proportion for which to compute the RSE.\n * @param {number} v Variance of the proportion.\n */\nfunction computeRseProportion (p, v) {\n  if (p === 0 || p === 1 || p === null) {\n    return null\n  }\n  if (p < 0.5) {\n    return Math.sqrt(v) / p\n  }\n  return Math.sqrt(v) / (1 - p)\n}\n\n/**\n * Initialize a data structure for holding intermediate and output values in the\n * distribution function.\n */\nfunction initDataBuffer (keys1, keys2, value) {\n  const buffer = {}\n  keys1.forEach(k1 => {\n    buffer[k1] = {}\n    keys2.forEach(k2 => {\n      buffer[k1][k2] = value\n    })\n  })\n  return buffer\n}\n\n/**\n * In a Taylor WR Survey, all estimates are computed assuming a weighted,\n * stratified, and clustered design using the Taylor linearization method for\n * variances and assuming clusters were sampled with replacement within each\n * stratum.\n */\nexport class TaylorWRSurvey {\n  /**\n   * @param {Array} data Object of arrays containing all the survey data. The data\n   *     MUST be sorted by the stratum and cluster variables.\n   * @param {string} weightName Name of the survey's weight variable.\n   * @param {string} stratumName Name of the survey's stratum variable.\n   * @param {string} clusterName Name of the survey's cluster variable.\n   * @param {string} ddf Design-based degrees of freedom for the survey.\n   */\n  constructor (data, weightName, stratumName, clusterName, ddf) {\n    this.data = data\n    this.weight = data[weightName]\n    this.stratum = data[stratumName]\n    this.cluster = data[clusterName]\n    this.ddf = ddf\n  }\n\n  /**\n   * Computes the weighted frequency distribution of a variable.\n   *\n   * The distribution is computed within each level of another variable, called\n   * the \"by\" variable. Only those records appearing in the subpopulation of\n   * interest are included.\n   *\n   * Also computes the variance and 95% confidence interval.\n   *\n   * @param {string} xName Name of the variable whose distribution will be\n   *     computed.\n   * @param {Array} xLevels Unique levels of x.\n   * @param {string} byName Name of the variable whose levels form the\n   *     by-groups, within which independent distributions of x will be\n   *     computed.\n   * @param {Array} byLevels Unique levels of the by variable.\n   * @param {Array} subpopName Name of the boolean variable indicating which\n   *     records to include in the analysis.\n   *\n   * @return {Object} Data structure containing all estimates in the distribution.\n   *     Top-level keys are the byLevels. The value for each key is another Object\n   *     whose keys are the variable levels. The value for each of those keys is\n   *     another Object containing the estimates with keys like 'proportion' and\n   *     'ciProportion'.\n   */\n  distribution (xName, xLevels, byName, byLevels, subpopName) {\n    // ---------------------------------------------------------------------------\n    // Initialize objects that will hold intermediate calculations for each\n    // level.\n\n    const N = initDataBuffer(byLevels, xLevels, 0)\n    const n = initDataBuffer(byLevels, xLevels, 0)\n    const denom = initDataBuffer(byLevels, xLevels, 0)\n    const numer = initDataBuffer(byLevels, xLevels, 0)\n    const p = initDataBuffer(byLevels, xLevels, null)\n\n    const zNumer = initDataBuffer(byLevels, xLevels, 0)\n    const rNumer = initDataBuffer(byLevels, xLevels, 0)\n    const r2Numer = initDataBuffer(byLevels, xLevels, 0)\n    const vNumer = initDataBuffer(byLevels, xLevels, 0)\n\n    const zP = initDataBuffer(byLevels, xLevels, 0)\n    const rP = initDataBuffer(byLevels, xLevels, 0)\n    const r2P = initDataBuffer(byLevels, xLevels, 0)\n    const vP = initDataBuffer(byLevels, xLevels, 0)\n\n    // ---------------------------------------------------------------------------\n    // Store data arrays in shorter names for cleaner references later.\n\n    const x = this.data[xName]\n    const by = this.data[byName]\n    const subpop = this.data[subpopName]\n\n    // ---------------------------------------------------------------------------\n    // Pass 1: Compute the proportion for each level.\n\n    for (let i = 0; i < x.length; i++) {\n      if (by[i] === '' || !subpop[i]) {\n        continue\n      }\n      const byLevel = by[i]\n      xLevels.forEach(xLevel => {\n        if (x[i] !== '') {\n          N[byLevel][xLevel] += 1\n          denom[byLevel][xLevel] += this.weight[i]\n        }\n        if (x[i] === xLevel) {\n          n[byLevel][xLevel] += 1\n          numer[byLevel][xLevel] += this.weight[i]\n        }\n      })\n    }\n\n    byLevels.forEach(byLevel => {\n      xLevels.forEach(xLevel => {\n        if (denom[byLevel][xLevel] > 0) {\n          p[byLevel][xLevel] = numer[byLevel][xLevel] / denom[byLevel][xLevel]\n        }\n      })\n    })\n\n    // ---------------------------------------------------------------------------\n    // Pass 2: Compute the variance of the proportion for each level.\n\n    let h = 0\n    let startData = false\n    let startStratum = false\n    let startCluster = false\n    let endData = false\n    let endStratum = false\n    let endCluster = false\n\n    for (let i = 0; i < x.length; i++) {\n      startData = (i === 0)\n      startStratum = (startData || this.stratum[i] !== this.stratum[i - 1])\n      startCluster = (startStratum || this.cluster[i] !== this.cluster[i - 1])\n      endData = (i === x.length - 1)\n      endStratum = (endData || this.stratum[i] !== this.stratum[i + 1])\n      endCluster = (endStratum || this.cluster[i] !== this.cluster[i + 1])\n\n      if (startStratum) {\n        h = 0\n        byLevels.forEach(byLevel => {\n          xLevels.forEach(xLevel => {\n            rNumer[byLevel][xLevel] = 0\n            r2Numer[byLevel][xLevel] = 0\n            rP[byLevel][xLevel] = 0\n            r2P[byLevel][xLevel] = 0\n          })\n        })\n      }\n\n      if (startCluster) {\n        h += 1\n        byLevels.forEach(byLevel => {\n          xLevels.forEach(xLevel => {\n            zNumer[byLevel][xLevel] = 0\n            zP[byLevel][xLevel] = 0\n          })\n        })\n      }\n\n      if (by[i] !== '' && subpop[i]) {\n        const byLevel = by[i]\n        xLevels.forEach(xLevel => {\n          if (x[i] !== '') {\n            zNumer[byLevel][xLevel] += (\n              this.weight[i] * (x[i] === xLevel ? 1 : 0)\n            )\n            zP[byLevel][xLevel] += (\n              this.weight[i] * (\n                (x[i] === xLevel ? 1 : 0) - p[byLevel][xLevel]\n              ) / denom[byLevel][xLevel]\n            )\n          }\n        })\n      }\n\n      if (endCluster) {\n        byLevels.forEach(byLevel => {\n          xLevels.forEach(xLevel => {\n            rNumer[byLevel][xLevel] += zNumer[byLevel][xLevel]\n            r2Numer[byLevel][xLevel] += Math.pow(zNumer[byLevel][xLevel], 2)\n            rP[byLevel][xLevel] += zP[byLevel][xLevel]\n            r2P[byLevel][xLevel] += Math.pow(zP[byLevel][xLevel], 2)\n          })\n        })\n      }\n\n      if (endStratum) {\n        byLevels.forEach(byLevel => {\n          xLevels.forEach(xLevel => {\n            vNumer[byLevel][xLevel] += (\n              (h * r2Numer[byLevel][xLevel] - Math.pow(rNumer[byLevel][xLevel], 2)) / (h - 1)\n            )\n            vP[byLevel][xLevel] += (\n              (h * r2P[byLevel][xLevel] - Math.pow(rP[byLevel][xLevel], 2)) / (h - 1)\n            )\n          })\n        })\n      }\n    }\n\n    // ---------------------------------------------------------------------------\n    // Create an output object collecting the results from each level.\n\n    const out = initDataBuffer(byLevels, xLevels, null)\n\n    const confidence = 0.95\n\n    byLevels.forEach(byLevel => {\n      xLevels.forEach(xLevel => {\n        out[byLevel][xLevel] = {\n          proportion: p[byLevel][xLevel],\n          ciProportion: computeCiProportion(\n            p[byLevel][xLevel],\n            vP[byLevel][xLevel],\n            this.ddf,\n            confidence\n          ),\n          varianceProportion: N[byLevel][xLevel] === 0 ? null : vP[byLevel][xLevel],\n          sampleSize: n[byLevel][xLevel],\n          unweightedDenominator: N[byLevel][xLevel],\n          numerator: numer[byLevel][xLevel],\n          ciNumerator: computeCiCount(\n            numer[byLevel][xLevel],\n            vNumer[byLevel][xLevel],\n            this.ddf,\n            confidence\n          ),\n          varianceNumerator: N[byLevel][xLevel] === 0 ? null : vNumer[byLevel][xLevel],\n          denominator: denom[byLevel][xLevel],\n          rseProportion: computeRseProportion(\n            p[byLevel][xLevel],\n            vP[byLevel][xLevel]\n          )\n        }\n      })\n    })\n\n    return out\n  }\n}\n","import TopicView from '../components/Topic'\nimport { components } from '@rtidatascience/harness-ui'\nimport TableChart from '../components/TableChart'\nimport GraphChart from '../components/GraphChart'\nimport AccordionFilter from '../components/AccordionFilter'\nimport { json } from 'd3-fetch'\nimport { commitMetadata } from '../store/mutations/selectedParameters'\nimport { TaylorWRSurvey } from '../vest'\n\nconst hashes = {\n  2014: {\n    puf: 'ac55ec37',\n    metadata: 'b809a909',\n    design: '23c821a9'\n  },\n  2022: {\n    puf: '3cc90034',\n    metadata: '70e706f5',\n    design: 'bf9ef903'\n  }\n}\n\nexport default class TopicPage {\n    title = 'Topics'\n    key = 'topic'\n    pageComponent = TopicView\n\n    retrieveData = async (state, pageObject, hs) => {\n      const data = await loadData(hs)\n\n      if (data.metadata !== hs.store.state.metadata) {\n        commitMetadata(hs.store.commit, data.metadata)\n        hs.setOptionsForFilter(\n          'accordion',\n          {\n            groups: hs.store.state.modules,\n            metadata: data.metadata\n          },\n          true\n        )\n      }\n\n      const survey = createSurvey(data.surveyData, data.surveyDesign)\n      const filteredSurvey = filterSurvey(survey, hs.store.state.selectedFilter)\n      const tabledData = buildTable(\n        filteredSurvey,\n        data.metadata,\n        hs.store.state.selectedRowParameters,\n        hs.store.state.selectedColumnParameters,\n        hs.store.state.selectedFilter,\n        hs.store.getters.year\n      )\n      const footnotes = buildFootnotes(\n        tabledData.table,\n        hs.store.getters.rowQuestion,\n        hs.store.getters.columnQuestion,\n        hs.store.getters.filterQuestion,\n        hs.store.getters.year\n      )\n\n      hs.store.commit('setIsLoadingYear', false)\n\n      return {\n        tableChart: {\n          ...tabledData,\n          footnotes\n        },\n        graphChart: {\n          ...buildGraph(\n            tabledData,\n            data.metadata,\n            hs.store.state.selectedRowParameters,\n            hs.store.state.selectedColumnParameters\n          ),\n          footnotes\n        },\n        accordion: {\n          groups: hs.store.state.modules,\n          metadata: data.metadata\n        }\n      }\n    }\n\n    filters = function () {\n      return {\n        year: {\n          key: 'year',\n          label: 'Data Year',\n          component: null,\n          options: []\n        },\n        accordion: {\n          title: 'Accordion',\n          component: AccordionFilter,\n          props: {\n            getValueProperties (id) {\n              return this.$store.getters.getQuestion(id)\n            }\n          },\n          afterSet: (action, hs) => {\n            if (action.type === hs.getFilterActionString('accordion')) {\n              hs.setOptionsForFilter(\n                'questionLevels',\n                extractQuestionLevels(action, hs),\n                true\n              )\n            }\n          }\n        },\n        questionLevels: {\n          key: 'questionLevels',\n          label: 'Levels',\n          component: components.HarnessUiCheckboxGroup,\n          props: {\n            multiple: true,\n            collapse: false\n          },\n          options: [\n            {\n              key: 'q1',\n              label: 'Level 1',\n              default: true\n            }\n          ],\n          afterSet: (action, hs) => {\n            if (action.type === hs.getFilterActionString('questionLevels')) {\n              // hs.store.commit('buildFilter', action.payload)\n            }\n          }\n        },\n        rowFilter: {\n          key: 'rowFilter',\n          label: 'Levels',\n          component: null,\n          options: []\n        },\n        columnFilter: {\n          key: 'columnFilter',\n          label: 'Levels',\n          component: null,\n          options: []\n        },\n        confidenceInterval: {\n          label: 'Confidence Intervals:',\n          component: components.HarnessUiRadioGroup,\n          props: {\n            inline: false\n          },\n          options: [\n            {\n              key: true,\n              label: 'On',\n              disabled: false,\n              default: false\n            },\n            {\n              key: false,\n              label: 'Off',\n              disabled: false,\n              default: true\n            }\n          ]\n        },\n        showGraph: {\n          label: 'View As:',\n          component: components.HarnessUiRadioGroup,\n          props: {\n            inline: false\n          },\n          options: [\n            {\n              key: true,\n              label: 'Chart',\n              disabled: false,\n              default: true\n            },\n            {\n              key: false,\n              label: 'Table',\n              disabled: false,\n              default: false\n            }\n          ],\n          afterSet: (action, hs) => {\n            if (action.payload) {\n              hs.enableOptions('showPercentage', [true, false])\n            } else {\n              hs.disableOptions('showPercentage', [true, false])\n            }\n          }\n        },\n        showPercentage: {\n          label: 'Chart Unit:',\n          component: components.HarnessUiRadioGroup,\n          props: {\n            inline: false\n          },\n          options: [\n            {\n              key: true,\n              label: 'Percentage',\n              disabled: false,\n              default: true\n            },\n            {\n              key: false,\n              label: 'Population Size',\n              disabled: false,\n              default: false\n            }\n          ]\n        }\n      }\n    }\n\n    charts = function () {\n      return {\n        tableChart: {\n          title: 'Table Chart',\n          component: TableChart\n        },\n        graphChart: {\n          title: 'Graph Chart',\n          component: GraphChart\n        }\n      }\n    }\n}\n\nconst dataSource = 'Scripts/hcps/data/'\n\nfunction variableFilePath (id, year) {\n  return `${process.env.BASE_URL}${dataSource}${year}/puf_${hashes[year].puf}/${id}.json`\n}\n\nfunction metadataFilePath (year) {\n  return `${process.env.BASE_URL}${dataSource}${year}/metadata.${hashes[year].metadata}.json`\n}\n\nfunction designFilePath (year) {\n  return `${process.env.BASE_URL}${dataSource}${year}/design.${hashes[year].design}.json`\n}\n\nasync function loadData (hs) {\n  const cache = hs.getRequestCache()\n  const year = hs.store.getters.year\n  const yearCache = cache?.[year]\n\n  const metadata = await loadMetadata(yearCache, year)\n  const surveyDesign = await loadSurveyDesign(yearCache, year)\n  const surveyData = await loadSurveyData(hs, surveyDesign, yearCache, year)\n\n  const data = {\n    metadata,\n    surveyDesign,\n    surveyData\n  }\n\n  const newCache = {\n    ...cache,\n    [year]: data\n  }\n  hs.setRequestCache(newCache)\n\n  return data\n}\n\nasync function loadSurveyData (hs, surveyDesign, cache) {\n  const { rowId, columnId, filterId, year } = hs.store.getters\n\n  const weight = await loadVariableFile(cache?.surveyData, surveyDesign.weight, year)\n  const stratum = await loadVariableFile(cache?.surveyData, surveyDesign.stratum, year)\n  const cluster = await loadVariableFile(cache?.surveyData, surveyDesign.cluster, year)\n  const row = await loadVariableFile(cache?.surveyData, rowId, year)\n  const col = await loadVariableFile(cache?.surveyData, columnId, year)\n  const filter = await loadVariableFile(cache?.surveyData, filterId, year)\n\n  // Add special variables that we'll use when computing estimates.\n  const dataLength = countData(weight)\n  const zero = createConstantVariable('__zero__', '0', dataLength)\n  const subpop = createConstantVariable('__subpop__', true, dataLength)\n\n  return {\n    ...weight,\n    ...stratum,\n    ...cluster,\n    ...row,\n    ...col,\n    ...filter,\n    ...zero,\n    ...subpop\n  }\n}\n\nfunction createConstantVariable (id, value, dataLength) {\n  const values = new Array(dataLength)\n  for (let i = 0; i < dataLength; i++) {\n    values[i] = value\n  }\n  return { [id]: values }\n}\n\nasync function loadVariableFile (cache, id, year) {\n  if (id == null) {\n    return {}\n  }\n\n  if (cache != null && cache[id]) {\n    return { [id]: cache[id] }\n  }\n\n  const file = await json(variableFilePath(id, year))\n  return { [id]: file.data }\n}\n\nfunction countData (data) {\n  const sampleKey = Object.keys(data)[0]\n  return data[sampleKey].length\n}\n\nfunction createSurvey (surveyData, surveyDesign) {\n  const survey = new TaylorWRSurvey(\n    surveyData,\n    surveyDesign.weight,\n    surveyDesign.stratum,\n    surveyDesign.cluster,\n    surveyDesign.ddf\n  )\n\n  return survey\n}\n\nasync function loadMetadata (cache, year) {\n  if (cache != null && cache.metadata != null) {\n    return cache.metadata\n  }\n\n  const metadata = await json(metadataFilePath(year))\n  return processMetadata(metadata)\n}\n\nasync function loadSurveyDesign (cache, year) {\n  if (cache != null && cache.surveyDesign != null) {\n    return cache.surveyDesign\n  }\n\n  const surveyDesign = await json(designFilePath(year))\n  return surveyDesign\n}\n\nfunction processMetadata (metadata) {\n  for (const key in metadata) {\n    metadata[key].id = key\n  }\n\n  return metadata\n}\n\nfunction extractQuestionLevels (action, hs) {\n  if (action.payload == null) {\n    return []\n  } else {\n    return hs.store.getters.getQuestion(action.payload).levels.map(l => ({ key: l.value, label: l.label, default: true }))\n  }\n}\n\nfunction filterSurvey (survey, filter) {\n  // For survey data, it's important not to remove data when filtering. Instead,\n  // we should flag the data to include/exclude.\n  const subpopData = survey.data.__subpop__\n\n  if (filter === null) {\n    for (let i = 0; i < subpopData.length; i++) {\n      subpopData[i] = true\n    }\n  } else {\n    const filterData = survey.data[filter.id]\n    for (let i = 0; i < subpopData.length; i++) {\n      subpopData[i] = filter.values.includes(filterData[i])\n    }\n  }\n\n  return survey\n}\n\nexport function suppressCell (cell) {\n  if (cell.unweightedDenominator < 50 || cell.rseProportion > 0.3) {\n    return {\n      suppressed: true,\n      proportion: null,\n      ciProportion: { lower: null, upper: null },\n      varianceProportion: null,\n      sampleSize: null,\n      unweightedDenominator: null,\n      numerator: null,\n      ciNumerator: { lower: null, upper: null },\n      varianceNumerator: null,\n      denominator: null,\n      rseProportion: null\n    }\n  } else {\n    return {\n      suppressed: false,\n      ...cell\n    }\n  }\n}\n\nfunction setCellHasResult (cell) {\n  return {\n    noResult: cell.unweightedDenominator === 0\n  }\n}\n\nfunction buildTable (survey, metadata, rowFilter, columnFilter, subpopFilter, year) {\n  if (rowFilter == null) {\n    return { table: [], title: '', subtitle: '' }\n  }\n\n  let subpopTitleClause = ''\n  let subpopSubtitleClause = ''\n  if (subpopFilter !== null) {\n    const meta = metadata[subpopFilter.id]\n    const valueLabels = subpopFilter.values.map(value => {\n      const label = meta.levels.find(level => {\n        return level.value === value\n      }).label\n      return `\"${label}\"`\n    })\n    const valueClause = makeNarrativeList(valueLabels, 'or')\n    subpopTitleClause = ` (filtered to include only patients where ${meta.label} is ${valueClause})`\n    subpopSubtitleClause = ` where [${subpopFilter.id}] = ${valueClause}`\n  }\n\n  let table\n  let title\n  let subtitle\n\n  if (columnFilter) {\n    const rowMeta = metadata[rowFilter.id]\n    const colMeta = metadata[columnFilter.id]\n\n    title = `${rowMeta.label}, by ${colMeta.label}${subpopTitleClause}, ${year}`\n    subtitle = `[${rowFilter.id}] by [${columnFilter.id}]${subpopSubtitleClause}`\n\n    const varName = columnFilter.id\n    const varLevels = colMeta.levels.map(l => l.value)\n    const byName = rowFilter.id\n    const byLevels = rowMeta.levels.map(l => l.value)\n\n    const results = survey.distribution(\n      varName,\n      varLevels,\n      byName,\n      byLevels,\n      '__subpop__'\n    )\n\n    const height = rowFilter.values.length\n    const width = columnFilter.values.length\n    table = initializeTable(height, width)\n\n    Object.keys(results).forEach((byLevel) => {\n      Object.keys(results[byLevel]).forEach((varLevel, vi) => {\n        const row = rowFilter.values.indexOf(byLevel)\n        const col = columnFilter.values.indexOf(varLevel)\n        table[row][col] = {\n          ...suppressCell(results[byLevel][varLevel]),\n          ...setCellHasResult(results[byLevel][varLevel]),\n          benchmark: colMeta.levels[vi].benchmark\n        }\n      })\n    })\n  } else {\n    const meta = metadata[rowFilter.id]\n    title = `${meta.label}${subpopTitleClause}, ${year}`\n    subtitle = `[${rowFilter.id}]${subpopSubtitleClause}`\n\n    const varName = rowFilter.id\n    const varLevels = meta.levels.map(l => l.value)\n    const byName = '__zero__'\n    const byLevels = ['0']\n\n    const results = survey.distribution(\n      varName,\n      varLevels,\n      byName,\n      byLevels,\n      '__subpop__'\n    )\n\n    const height = rowFilter.values.length\n    const width = 1\n    table = initializeTable(height, width)\n\n    Object.keys(results['0']).forEach((varLevel, i) => {\n      const row = rowFilter.values.indexOf(varLevel)\n      table[row][0] = {\n        ...suppressCell(results['0'][varLevel]),\n        ...setCellHasResult(results['0'][varLevel]),\n        benchmark: meta.levels[i].benchmark\n      }\n    })\n  }\n\n  return {\n    table,\n    title,\n    subtitle\n  }\n}\n\nfunction initializeTable (rows, columns) {\n  const table = new Array(rows)\n\n  for (let i = 0; i < rows; i++) {\n    table[i] = new Array(columns).fill(0)\n  }\n\n  return table\n}\n\n/**\n * Converts an array to a string as it would appear in a narrative English\n * sentence, such as \"x, y, and z\".\n *\n * @param {Array} arr Array of strings to be converted to a narrative list.\n * @param {String} conjunction Word to use as the conjunction between the last\n *     two items of the list. Typically either \"and\" or \"or\".\n *\n * @return {String} The string containing the narrative list.\n */\nfunction makeNarrativeList (arr, conjunction) {\n  if (arr.length === 1) {\n    return arr[0]\n  } else if (arr.length === 2) {\n    return arr.join(` ${conjunction} `)\n  } else {\n    return [\n      arr.slice(0, -1).join(', '),\n      arr[arr.length - 1]\n    ].join(`, ${conjunction} `)\n  }\n}\n\nfunction buildGraph ({ table: data, title, subtitle }, metadata, rowFilter, columnFilter) {\n  if (data.length === 0) {\n    return { type: 'lollipop', data: [], title: 'Make a selection at left to begin.' }\n  }\n\n  // plot single question\n  if (data[0].length === 1) {\n    const meta = metadata[rowFilter.id]\n    return {\n      type: 'lollipop',\n      categories: meta.levels.map(l => l.label),\n      categoryId: rowFilter.id,\n      data: data,\n      title: title,\n      subtitle: subtitle,\n      dependencies: [meta.pop]\n    }\n  }\n\n  // plot comparison\n  const rowMeta = metadata[rowFilter.id]\n  const colMeta = metadata[columnFilter.id]\n\n  return {\n    type: 'lollipop',\n    categories: rowMeta.levels.map(l => l.label),\n    categoryId: rowFilter.id,\n    subCategories: colMeta.levels.map(l => l.label),\n    subCategoryId: columnFilter.id,\n    data: data,\n    title: title,\n    subtitle: subtitle,\n    dependencies: [\n      rowMeta.pop,\n      colMeta.pop\n    ]\n  }\n}\n\nfunction buildFootnotes (table, rowFilter, columnFilter, subpopFilter, year) {\n  function doesHaveSubPop (filter) {\n    return filter && filter.pop !== 'all patients'\n  }\n\n  function doesHaveBenchmark (row, col) {\n    if (row == null && col == null) {\n      return false\n    }\n\n    if (col) {\n      return col.levels.some(l => l.benchmark != null)\n    } else {\n      return row.levels.some(l => l.benchmark != null)\n    }\n  }\n\n  function buildSubpop (filter) {\n    return doesHaveSubPop(filter) && {\n      id: filter.id,\n      population: filter.pop,\n      text: `[${filter.id}] applies only to: ${filter.pop}`\n    }\n  }\n\n  const rowId = rowFilter?.id\n  const hasSuppressed = table.some(r => r.some(c => c.suppressed))\n\n  const hasRowSubpop = doesHaveSubPop(rowFilter)\n  const hasColSubpop = doesHaveSubPop(columnFilter)\n  const hasFilterSubpop = doesHaveSubPop(subpopFilter)\n  const hasSubpop = hasRowSubpop || hasColSubpop || hasFilterSubpop\n  const hasBenchmark = doesHaveBenchmark(rowFilter, columnFilter)\n\n  const subpopItems = []\n  hasRowSubpop && subpopItems.push(buildSubpop(rowFilter))\n  hasColSubpop && subpopItems.push(buildSubpop(columnFilter))\n  hasFilterSubpop && subpopItems.push(buildSubpop(subpopFilter))\n\n  return {\n    weighting: `All dashboard results are calculated using data from the ${year} HCPS PUF. Individual records in the PUF are weighted so that estimates of percentages, population sizes, and confidence intervals are representative of the health center patient population. Sample sizes are not representative of the health center patient population; instead, they are unweighted counts of the number of survey responses. Population sizes are rounded to the nearest thousand. Confidence intervals are calculated to reflect the complex sample design of the survey.`,\n    subpops: hasSubpop && {\n      text: 'The estimates in this analysis are representative of a subset of the health center patient population, because one or more selected survey questions apply to a subset of the population:',\n      items: subpopItems\n    },\n    suppressed: hasSuppressed && {\n      symbol: '*',\n      text: \"Result has been suppressed. Results are suppressed when the percentage's denominator is based on fewer than 50 survey responses or when the relative standard error of the percentage is greater than 30%. Failure to meet these criteria is an indicator of poor statistical reliability.\"\n    },\n    variableName: rowId && `Text displayed in square brackets, such as [${rowId}], indicates a variable name from the ${year} HCPS PUF. The dashboard interface uses the variable names as an abbreviated way to identify survey questions. Analysts may wish to use the variable names to find the corresponding data in the PUF.`,\n    benchmark: {\n      hasBenchmark,\n      symbol: '‡',\n      text: 'National Benchmark: Corresponding estimate from the 2019 Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Clinician & Group Survey Database (CG-CAHPS Database), where available. This estimate is intended to provide a benchmark for comparing the HCPS estimate to a broader population of U.S. medical practices. However, please be aware of the CG-CAHPS Database\\'s limitations and take them into consideration when making any comparisons between the HCPS and the CG-CAHPS Database: The organizations that contribute data to the CG-CAHPS Database do so voluntarily, and a limited number of practices choose to participate. The organizations contributing data are not representative of all U.S. medical practices. Estimates based on these voluntarily submitted data sets might be biased as it is not possible to compute estimates of precision from them.'\n    },\n    compare2014: 'Comparing estimates from 2022 data to estimates from 2014 data is not recommended. Data collection procedures were changed during the 2022 survey because of the COVID-19 pandemic. These changes are a potential confounding factor in any differences observed between 2014 and 2022.'\n  }\n}\n","import topicPage from './topicPage'\nconst pages = [topicPage] // add pages to this array\nexport default pages\n","import Vue from 'vue'\nimport App from './App.vue'\nimport router from './router'\nimport store from './store'\nimport pages from './harness-pages/manifest'\nimport harness from '@rtidatascience/harness'\nimport { harnessUI } from '@rtidatascience/harness-ui'\n\n// import 'bootstrap' // enable this line for bootstrap javascript features\nimport './styles/main.scss'\n\nVue.use(harness, { store, router, pages })\nVue.use(harnessUI)\nVue.config.productionTip = false\n\nnew Vue({\n  router,\n  store,\n  render: h => h(App)\n}).$mount('#app')\n","// The module cache\nvar __webpack_module_cache__ = {};\n\n// The require function\nfunction __webpack_require__(moduleId) {\n\t// Check if module is in cache\n\tvar cachedModule = __webpack_module_cache__[moduleId];\n\tif 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