diff --git a/.circleci/config.yml b/.circleci/config.yml deleted file mode 100644 index 4b050d42..00000000 --- a/.circleci/config.yml +++ /dev/null @@ -1,34 +0,0 @@ -version: 2.1 - - -jobs: - build-docs: - docker: - - image: cimg/python:3.13-node - steps: - - checkout - - - run: - name: Install Python dependencies - command: | - python -m pip install --upgrade pip tox - - - run: - name: Build documentation - no_output_timeout: 5m - environment: - # Ensure this is same as store_artifacts path below - DOCS_PATH: _build/html - command: | - export BASE_URL="/output/job/$CIRCLE_WORKFLOW_JOB_ID/artifacts/0/$DOCS_PATH" - export OMP_NUM_THREADS=1 - python -m tox -e py313-buildhtml - - - store_artifacts: - path: _build/html - -workflows: - version: 2 - build-and-docs: - jobs: - - build-docs diff --git a/.github/dependabot.yml b/.github/dependabot.yml deleted file mode 100644 index 8db2976b..00000000 --- a/.github/dependabot.yml +++ /dev/null @@ -1,12 +0,0 @@ -version: 2 -updates: - - package-ecosystem: "github-actions" - directory: ".github/workflows" - schedule: - interval: "monthly" - groups: - actions: - patterns: - - "*" - labels: - - "infrastructure" diff --git a/.github/workflows/ci_publish.yml b/.github/workflows/ci_publish.yml deleted file mode 100644 index 80f86dea..00000000 --- a/.github/workflows/ci_publish.yml +++ /dev/null @@ -1,46 +0,0 @@ -name: Build and Publish HTML and deployed_notebooks - -on: - push: - branches: - - main - schedule: - - cron: '0 5 * * 1' - workflow_dispatch: - -concurrency: - group: ${{ github.workflow }}-${{ github.ref }} - cancel-in-progress: true - -env: - # `BASE_URL` determines, relative to the root of the domain, the URL that your site is served from. - # E.g., if your site lives at `https://mydomain.org/myproject`, set `BASE_URL=/myproject`. - # If, instead, your site lives at the root of the domain, at `https://mydomain.org`, set `BASE_URL=''`. - BASE_URL: /${{ github.event.repository.name }} - -jobs: - - publish_html: - if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/main' }} - name: Publish HTML - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd #v6.0.2 - - - name: Setup Python - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 #v6.2.0 - with: - python-version: '3.12' - - - name: Install dependencies - run: python -m pip install --upgrade tox - - - name: Execute notebooks while building HTMLs - run: tox -e py312-buildhtml - - - name: Publish - uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e # v4.0.0 - with: - github_token: ${{ secrets.GITHUB_TOKEN }} - publish_dir: ./_build/html/ - commit_message: ${{ github.event.head_commit.message }} diff --git a/.github/workflows/ci_tests_run_notebooks.yml b/.github/workflows/ci_tests_run_notebooks.yml deleted file mode 100644 index b2b6dafb..00000000 --- a/.github/workflows/ci_tests_run_notebooks.yml +++ /dev/null @@ -1,59 +0,0 @@ -name: Test notebooks - -on: - push: - branches: - - main - pull_request: - branches: - - main - schedule: - - cron: '0 5 * * 1' - workflow_dispatch: - -jobs: - tests: - name: ${{ matrix.os }} ${{ matrix.name }} - runs-on: ${{ matrix.os }} - strategy: - fail-fast: false - matrix: - # Run all supported OS for one Python version, then add a few extra scenarios - os: [ubuntu-latest, macos-latest, windows-latest] - python-version: ['3.13'] - toxenv: [py313-test] - name: ['with Python 3.13',] - - include: - - python-version: '3.10' - toxenv: py310-test-oldestdeps - name: with Python 3.10 and oldest versioned dependencies - os: ubuntu-latest - - - python-version: '3.11' - toxenv: py311-test - name: with Python 3.11 and latest released version of dependencies - os: ubuntu-latest - - - python-version: '3.12' - toxenv: py312-test-predeps - name: with Python 3.12 and latest or pre-release version of dependencies - os: ubuntu-latest - - - python-version: '3.14-dev' - toxenv: py314-test-devdeps - name: with Python 3.14 and developer versioned dependencies - os: ubuntu-latest - - steps: - - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 #v6.2.0 - with: - python-version: ${{ matrix.python-version }} - - - name: Install dependencies - run: python -m pip install --upgrade tox - - - name: Test with nbval - run: tox ${{ matrix.toxargs }} -e ${{ matrix.toxenv }} -- ${{ matrix.toxposargs }} diff --git a/.github/workflows/circleci-artifacts-redirector.yml b/.github/workflows/circleci-artifacts-redirector.yml deleted file mode 100644 index f24efe72..00000000 --- a/.github/workflows/circleci-artifacts-redirector.yml +++ /dev/null @@ -1,16 +0,0 @@ -name: Run CircleCI artifacts redirector for rendered HTML -on: [status] -jobs: - circleci_artifacts_redirector_job: - runs-on: ubuntu-latest - name: Run CircleCI artifacts redirector - steps: - - name: GitHub 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[ MetaItem self Metavariable super crate Identifier ScopedIdentifier :: QualifiedScope AbstractType impl SelfType MetaType TypeIdentifier ScopedTypeIdentifier ScopeIdentifier TypeArgList TypeBinding = Lifetime String Escape Char Boolean Integer } { Block ; ConstItem Vis pub ( in ) const BoundIdentifier : UnsafeBlock unsafe AsyncBlock async move IfExpression if LetDeclaration let LiteralPattern ArithOp MetaPattern SelfPattern ScopedIdentifier TuplePattern ScopedTypeIdentifier , StructPattern FieldPatternList FieldPattern ref mut FieldIdentifier .. RefPattern SlicePattern CapturedPattern ReferencePattern & MutPattern RangePattern ... OrPattern MacroPattern ParenthesizedTokens TokenBinding Identifier TokenRepetition ArithOp BitOp LogicOp UpdateOp CompareOp -> => ArithOp BracketedTokens BracedTokens _ else MatchExpression match MatchBlock MatchArm Attribute Guard UnaryExpression ArithOp DerefOp LogicOp ReferenceExpression TryExpression BinaryExpression ArithOp ArithOp BitOp BitOp BitOp BitOp LogicOp LogicOp AssignmentExpression TypeCastExpression as ReturnExpression return RangeExpression CallExpression ArgList AwaitExpression await FieldExpression GenericFunction BreakExpression break LoopLabel ContinueExpression continue IndexExpression ArrayExpression TupleExpression MacroInvocation UnitExpression ClosureExpression ParamList Parameter Parameter ParenthesizedExpression StructExpression FieldInitializerList ShorthandFieldInitializer FieldInitializer BaseFieldInitializer MatchArm WhileExpression while LoopExpression loop ForExpression for MacroInvocation MacroDefinition macro_rules MacroRule EmptyStatement ModItem mod DeclarationList AttributeItem ForeignModItem extern StructItem struct TypeParamList ConstrainedTypeParameter TraitBounds HigherRankedTraitBound RemovedTraitBound OptionalTypeParameter ConstParameter WhereClause where LifetimeClause TypeBoundClause FieldDeclarationList FieldDeclaration OrderedFieldDeclarationList UnionItem union EnumItem enum EnumVariantList EnumVariant TypeItem type FunctionItem default fn ParamList Parameter SelfParameter VariadicParameter VariadicParameter ImplItem TraitItem trait AssociatedType LetDeclaration UseDeclaration use ScopedIdentifier UseAsClause ScopedIdentifier UseList ScopedUseList UseWildcard ExternCrateDeclaration StaticItem static ExpressionStatement ExpressionStatement GenericType FunctionType ForLifetimes ParamList VariadicParameter Parameter VariadicParameter Parameter ReferenceType PointerType TupleType UnitType ArrayType MacroInvocation EmptyType DynamicType dyn 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nt{constructor(e){this.search=e.search,this.caseSensitive=!!e.caseSensitive,this.literal=!!e.literal,this.regexp=!!e.regexp,this.replace=e.replace||"",this.valid=!!this.search&&(!this.regexp||function(e){try{return new RegExp(e,Je),!0}catch(e){return!1}}(this.search)),this.unquoted=this.unquote(this.search),this.wholeWord=!!e.wholeWord}unquote(e){return this.literal?e:e.replace(/\\([nrt\\])/g,((e,t)=>"n"==t?"\n":"r"==t?"\r":"t"==t?"\t":"\\"))}eq(e){return this.search==e.search&&this.replace==e.replace&&this.caseSensitive==e.caseSensitive&&this.regexp==e.regexp&&this.wholeWord==e.wholeWord}create(){return this.regexp?new ht(this):new rt(this)}getCursor(e,t=0,n){let s=e.doc?e:i.$t.create({doc:e});return null==n&&(n=s.doc.length),this.regexp?ot(this,s,t,n):st(this,s,t,n)}}class it{constructor(e){this.spec=e}}function st(e,t,n,s){return new Ue(t.doc,e.unquoted,n,s,e.caseSensitive?void 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e.dispatch({selection:r,effects:[Rt(e,s),o.scrollToMatch(r.main,e)],userEvent:"select.search"}),Mt(e),!0})),vt=bt(((e,{query:t})=>{let{state:n}=e,{from:s}=n.selection.main,r=t.prevMatch(n,s,s);if(!r)return!1;let o=i.OF.single(r.from,r.to),a=e.state.facet(tt);return e.dispatch({selection:o,effects:[Rt(e,r),a.scrollToMatch(o.main,e)],userEvent:"select.search"}),Mt(e),!0})),xt=bt(((e,{query:t})=>{let n=t.matchAll(e.state,1e3);return!(!n||!n.length||(e.dispatch({selection:i.OF.create(n.map((e=>i.OF.range(e.from,e.to)))),userEvent:"select.search.matches"}),0))})),wt=({state:e,dispatch:t})=>{let n=e.selection;if(n.ranges.length>1||n.main.empty)return!1;let{from:s,to:r}=n.main,o=[],a=0;for(let t=new Ue(e.doc,e.sliceDoc(s,r));!t.next().done;){if(o.length>1e3)return!1;t.value.from==s&&(a=o.length),o.push(i.OF.range(t.value.from,t.value.to))}return t(e.update({selection:i.OF.create(o,a),userEvent:"select.search.matches"})),!0},kt=bt(((e,{query:t})=>{let{state:n}=e,{from:r,to:o}=n.selection.main;if(n.readOnly)return!1;let a=t.nextMatch(n,r,r);if(!a)return!1;let l,h,c=[],u=[];if(a.from==r&&a.to==o&&(h=n.toText(t.getReplacement(a)),c.push({from:a.from,to:a.to,insert:h}),a=t.nextMatch(n,a.from,a.to),u.push(s.Lz.announce.of(n.phrase("replaced match on line $",n.doc.lineAt(r).number)+"."))),a){let t=0==c.length||c[0].from>=a.to?0:a.to-a.from-h.length;l=i.OF.single(a.from-t,a.to-t),u.push(Rt(e,a)),u.push(n.facet(tt).scrollToMatch(l.main,e))}return e.dispatch({changes:c,selection:l,effects:u,userEvent:"input.replace"}),!0})),St=bt(((e,{query:t})=>{if(e.state.readOnly)return!1;let n=t.matchAll(e.state,1e9).map((e=>{let{from:n,to:i}=e;return{from:n,to:i,insert:t.getReplacement(e)}}));if(!n.length)return!1;let i=e.state.phrase("replaced $ matches",n.length)+".";return e.dispatch({changes:n,effects:s.Lz.announce.of(i),userEvent:"input.replace.all"}),!0}));function Ct(e){return e.state.facet(tt).createPanel(e)}function At(e,t){var n,i,s,r,o;let a=e.selection.main,l=a.empty||a.to>a.from+100?"":e.sliceDoc(a.from,a.to);if(t&&!l)return t;let h=e.facet(tt);return new nt({search:(null!==(n=null==t?void 0:t.literal)&&void 0!==n?n:h.literal)?l:l.replace(/\n/g,"\\n"),caseSensitive:null!==(i=null==t?void 0:t.caseSensitive)&&void 0!==i?i:h.caseSensitive,literal:null!==(s=null==t?void 0:t.literal)&&void 0!==s?s:h.literal,regexp:null!==(r=null==t?void 0:t.regexp)&&void 0!==r?r:h.regexp,wholeWord:null!==(o=null==t?void 0:t.wholeWord)&&void 0!==o?o:h.wholeWord})}function Ot(e){let t=(0,s.ld)(e,Ct);return t&&t.dom.querySelector("[main-field]")}function Mt(e){let t=Ot(e);t&&t==e.root.activeElement&&t.select()}const _t=e=>{let t=e.state.field(ft,!1);if(t&&t.panel){let n=Ot(e);if(n&&n!=e.root.activeElement){let i=At(e.state,t.query.spec);i.valid&&e.dispatch({effects:ct.of(i)}),n.focus(),n.select()}}else e.dispatch({effects:[ut.of(!0),t?ct.of(At(e.state,t.query.spec)):i.Pe.appendConfig.of(Lt)]});return!0},Tt=e=>{let t=e.state.field(ft,!1);if(!t||!t.panel)return!1;let n=(0,s.ld)(e,Ct);return n&&n.dom.contains(e.root.activeElement)&&e.focus(),e.dispatch({effects:ut.of(!1)}),!0};class Et{constructor(e){this.view=e;let t=this.query=e.state.field(ft).query.spec;function n(e,t,n){return Ve("button",{class:"cm-button",name:e,onclick:t,type:"button"},n)}this.commit=this.commit.bind(this),this.searchField=Ve("input",{value:t.search,placeholder:Nt(e,"Find"),"aria-label":Nt(e,"Find"),class:"cm-textfield",name:"search",form:"","main-field":"true",onchange:this.commit,onkeyup:this.commit}),this.replaceField=Ve("input",{value:t.replace,placeholder:Nt(e,"Replace"),"aria-label":Nt(e,"Replace"),class:"cm-textfield",name:"replace",form:"",onchange:this.commit,onkeyup:this.commit}),this.caseField=Ve("input",{type:"checkbox",name:"case",form:"",checked:t.caseSensitive,onchange:this.commit}),this.reField=Ve("input",{type:"checkbox",name:"re",form:"",checked:t.regexp,onchange:this.commit}),this.wordField=Ve("input",{type:"checkbox",name:"word",form:"",checked:t.wholeWord,onchange:this.commit}),this.dom=Ve("div",{onkeydown:e=>this.keydown(e),class:"cm-search"},[this.searchField,n("next",(()=>yt(e)),[Nt(e,"next")]),n("prev",(()=>vt(e)),[Nt(e,"previous")]),n("select",(()=>xt(e)),[Nt(e,"all")]),Ve("label",null,[this.caseField,Nt(e,"match case")]),Ve("label",null,[this.reField,Nt(e,"regexp")]),Ve("label",null,[this.wordField,Nt(e,"by word")]),...e.state.readOnly?[]:[Ve("br"),this.replaceField,n("replace",(()=>kt(e)),[Nt(e,"replace")]),n("replaceAll",(()=>St(e)),[Nt(e,"replace all")])],Ve("button",{name:"close",onclick:()=>Tt(e),"aria-label":Nt(e,"close"),type:"button"},["×"])])}commit(){let e=new nt({search:this.searchField.value,caseSensitive:this.caseField.checked,regexp:this.reField.checked,wholeWord:this.wordField.checked,replace:this.replaceField.value});e.eq(this.query)||(this.query=e,this.view.dispatch({effects:ct.of(e)}))}keydown(e){(0,s.TS)(this.view,e,"search-panel")?e.preventDefault():13==e.keyCode&&e.target==this.searchField?(e.preventDefault(),(e.shiftKey?vt:yt)(this.view)):13==e.keyCode&&e.target==this.replaceField&&(e.preventDefault(),kt(this.view))}update(e){for(let t of e.transactions)for(let e of t.effects)e.is(ct)&&!e.value.eq(this.query)&&this.setQuery(e.value)}setQuery(e){this.query=e,this.searchField.value=e.search,this.replaceField.value=e.replace,this.caseField.checked=e.caseSensitive,this.reField.checked=e.regexp,this.wordField.checked=e.wholeWord}mount(){this.searchField.select()}get pos(){return 80}get top(){return this.view.state.facet(tt).top}}function Nt(e,t){return e.state.phrase(t)}const Dt=30,Pt=/[\s\.,:;?!]/;function Rt(e,{from:t,to:n}){let i=e.state.doc.lineAt(t),r=e.state.doc.lineAt(n).to,o=Math.max(i.from,t-Dt),a=Math.min(r,n+Dt),l=e.state.sliceDoc(o,a);if(o!=i.from)for(let e=0;el.length-Dt;e--)if(!Pt.test(l[e-1])&&Pt.test(l[e])){l=l.slice(0,e);break}return s.Lz.announce.of(`${e.state.phrase("current match")}. ${l} ${e.state.phrase("on line")} ${i.number}.`)}const jt=s.Lz.baseTheme({".cm-panel.cm-search":{padding:"2px 6px 4px",position:"relative","& [name=close]":{position:"absolute",top:"0",right:"4px",backgroundColor:"inherit",border:"none",font:"inherit",padding:0,margin:0},"& input, & button, & label":{margin:".2em .6em .2em 0"},"& input[type=checkbox]":{marginRight:".2em"},"& label":{fontSize:"80%",whiteSpace:"pre"}},"&light .cm-searchMatch":{backgroundColor:"#ffff0054"},"&dark .cm-searchMatch":{backgroundColor:"#00ffff8a"},"&light .cm-searchMatch-selected":{backgroundColor:"#ff6a0054"},"&dark .cm-searchMatch-selected":{backgroundColor:"#ff00ff8a"}}),Lt=[ft,i.Nb.low(gt),jt];class Bt{constructor({baseConfiguration:e,config:t,defaultExtensions:n}={}){this._configChanged=new Me.Signal(this),this._disposed=new Me.Signal(this),this._isDisposed=!1,this._immutables=new Set,this._baseConfig=null!=e?e:{},this._config=null!=t?t:{},this._configurableBuilderMap=new Map(n);const i=Object.keys(this._config).concat(Object.keys(this._baseConfig));this._immutables=new Set([...this._configurableBuilderMap.keys()].filter((e=>!i.includes(e))))}get configChanged(){return this._configChanged}get disposed(){return this._disposed}get isDisposed(){return this._isDisposed}dispose(){this.isDisposed||(this._isDisposed=!0,this._disposed.emit(),Me.Signal.clearData(this))}getOption(e){var t;return null!==(t=this._config[e])&&void 0!==t?t:this._baseConfig[e]}hasOption(e){return Object.keys(this._config).includes(e)||Object.keys(this._baseConfig).includes(e)}setOption(e,t){this._config[e]!==t&&(this._config[e]=t,this._configChanged.emit({[e]:t}))}setBaseOptions(e){const t=this._getChangedOptions(e,this._baseConfig);if(t.length>0){this._baseConfig=e;const n=Object.keys(this._config),i=t.filter((e=>!n.includes(e)));i.length>0&&this._configChanged.emit(i.reduce(((e,t)=>(e[t]=this._baseConfig[t],e)),{}))}}setOptions(e){const t=this._getChangedOptions(e,this._config);t.length>0&&(this._config={...e},this._configChanged.emit(t.reduce(((e,t)=>{var n;return e[t]=null!==(n=this._config[t])&&void 0!==n?n:this._baseConfig[t],e}),{})))}reconfigureExtension(e,t,n){const i=this.getEffect(e.state,t,n);i&&e.dispatch({effects:[i]})}reconfigureExtensions(e,t){const n=Object.keys(t).filter((e=>this.has(e))).map((n=>this.getEffect(e.state,n,t[n])));e.dispatch({effects:n.filter((e=>null!==e))})}injectExtension(e,t){e.dispatch({effects:i.Pe.appendConfig.of(t)})}getInitialExtensions(){const e={...this._baseConfig,...this._config},t=[...this._immutables].map((e=>{var t;return null===(t=this.get(e))||void 0===t?void 0:t.instance(void 0)})).filter((e=>e));for(const n of Object.keys(e)){const i=this.get(n);if(i){const s=e[n];t.push(i.instance(s))}}return t}get(e){return this._configurableBuilderMap.get(e)}has(e){return this._configurableBuilderMap.has(e)}getEffect(e,t,n){var i;const s=this.get(t);return null!==(i=null==s?void 0:s.reconfigure(n))&&void 0!==i?i:null}_getChangedOptions(e,t){const n=new Array,i=new Array;for(const[s,r]of 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0!==e.default&&(this.defaultOptions[e.name]=e.default),e.schema&&(this.configurationSchema[e.name]={default:null!==(t=e.default)&&void 0!==t?t:null,...e.schema},this.defaultOptions[e.name]=this.configurationSchema[e.name].default)}createNew(e){const t=new Array;for(const[n,i]of this.configurationBuilder.entries()){const s=i.factory(e);s&&t.push([n,s])}const n=new Bt({baseConfiguration:this.baseConfiguration,config:e.config,defaultExtensions:t});return this.handlers.add(n),n.disposed.connect((()=>{this.handlers.delete(n)})),n}}var Ft;!function(e){class t{constructor(e){this._compartment=new i.xx,this._builder=e}instance(e){return this._compartment.of(this._builder(e))}reconfigure(e){return this._compartment.reconfigure(this._builder(e))}}class n{constructor(e){this._extension=e}instance(){return this._extension}reconfigure(){return null}}function o(e){return new t(e)}function a(e,n=[]){return new t((t=>t?e:n))}function l(e){return new n(e)}e.createConfigurableExtension=o,e.createConditionalExtension=a,e.createImmutableExtension=l,e.getDefaultExtensions=function(e={}){const{themes:t,translator:n}=e,h=(null!=n?n:Te.wK).load("jupyterlab"),c=[Object.freeze({name:"autoClosingBrackets",default:!1,factory:()=>a((0,_e.wm)()),schema:{type:"boolean",title:h.__("Auto Closing Brackets")}}),Object.freeze({name:"codeFolding",default:!1,factory:()=>a((0,r.Lv)()),schema:{type:"boolean",title:h.__("Code Folding")}}),Object.freeze({name:"cursorBlinkRate",default:1200,factory:()=>o((e=>(0,s.VH)({cursorBlinkRate:e}))),schema:{type:"number",title:h.__("Cursor blinking rate"),description:h.__("Half-period in milliseconds used for cursor blinking. The default blink rate is 1200ms. By setting this to zero, blinking can be disabled.")}}),Object.freeze({name:"highlightActiveLine",default:!1,factory:()=>a((0,s.dz)()),schema:{type:"boolean",title:h.__("Highlight the active line")}}),Object.freeze({name:"highlightSpecialCharacters",default:!0,factory:()=>a((0,s.N$)()),schema:{type:"boolean",title:h.__("Highlight special characters")}}),Object.freeze({name:"highlightTrailingWhitespace",default:!1,factory:()=>a((0,s.wu)()),schema:{type:"boolean",title:h.__("Highlight trailing white spaces")}}),Object.freeze({name:"highlightWhitespace",default:!1,factory:()=>a((0,s.Yq)()),schema:{type:"boolean",title:h.__("Highlight white spaces")}}),Object.freeze({name:"indentUnit",default:"4",factory:()=>o((e=>"Tab"==e?r.Xt.of("\t"):r.Xt.of(" ".repeat(parseInt(e,10))))),schema:{type:"string",title:h.__("Indentation unit"),description:h.__("The indentation is a `Tab` or the number of spaces. This defaults to 4 spaces."),enum:["Tab","1","2","4","8"]}}),Object.freeze({name:"keymap",default:[{key:"Mod-Enter",run:Oe.insertBlankLineOnRun},{key:"Enter",run:Oe.completerOrInsertNewLine},{key:"Escape",run:Oe.simplifySelectionAndMaybeSwitchToCommandMode},...Se.filter((e=>!["Mod-Enter","Shift-Mod-k","Mod-/","Alt-A","Escape","Enter"].includes(e.key))),{key:"Tab",run:Oe.indentMoreOrInsertTab,shift:Oe.dedentIfNotLaunchingTooltip}],factory:()=>o((e=>s.w4.of(e)))}),Object.freeze({name:"lineNumbers",default:!0,factory:()=>a((0,s.$K)()),schema:{type:"boolean",title:h.__("Line Numbers")}}),Object.freeze({name:"lineWrap",factory:()=>a(s.Lz.lineWrapping),default:!0,schema:{type:"boolean",title:h.__("Line Wrap")}}),Object.freeze({name:"matchBrackets",default:!0,factory:()=>a([(0,r.SG)(),i.Nb.high(s.w4.of(_e.Bc))]),schema:{type:"boolean",title:h.__("Match Brackets")}}),Object.freeze({name:"rectangularSelection",default:!0,factory:()=>a([(0,s.D4)(),(0,s.HJ)()]),schema:{type:"boolean",title:h.__("Rectangular selection"),description:h.__("Rectangular (block) selection can be created by dragging the mouse pointer while holding the left mouse button and the Alt key. 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styles"),type:"object",properties:{fontFamily:{type:["string","null"],title:h.__("Font Family")},fontSize:{type:["number","null"],minimum:1,maximum:100,title:h.__("Font Size")},lineHeight:{type:["number","null"],title:h.__("Line Height")}},additionalProperties:!1}})];return t&&c.push(Object.freeze({name:"theme",default:"jupyter",factory:()=>o((e=>t.getTheme(e))),schema:{type:"string",title:h.__("Theme"),description:h.__("CodeMirror theme")}})),n&&c.push(Object.freeze({name:"translation",default:{"Control character":h.__("Control character"),"Selection deleted":h.__("Selection deleted"),"Folded lines":h.__("Folded lines"),"Unfolded lines":h.__("Unfolded lines"),to:h.__("to"),"folded code":h.__("folded code"),unfold:h.__("unfold"),"Fold line":h.__("Fold line"),"Unfold line":h.__("Unfold line"),"Go to line":h.__("Go to line"),go:h.__("go"),Find:h.__("Find"),Replace:h.__("Replace"),next:h.__("next"),previous:h.__("previous"),all:h.__("all"),"match case":h.__("match case"),replace:h.__("replace"),"replace all":h.__("replace all"),close:h.__("close"),"current match":h.__("current match"),"replaced $ matches":h.__("replaced $ matches"),"replaced match on line $":h.__("replaced match on line $"),"on line":h.__("on line"),Completions:h.__("Completions"),Diagnostics:h.__("Diagnostics"),"No diagnostics":h.__("No diagnostics")},factory:()=>o((e=>i.$t.phrases.of(e)))})),c}}(It||(It={})),(Ft||(Ft={})).defaultMimeType="text/plain";var $t=n(88925),zt=n(73643);class Ht{constructor(e){this.start=e}}class qt extends Ht{constructor(e,t,n,i,s,r,o,a,l,h,c,u,f,d,p){super(e),this.rules=t,this.topRules=n,this.tokens=i,this.localTokens=s,this.context=r,this.externalTokens=o,this.externalSpecializers=a,this.externalPropSources=l,this.precedences=h,this.mainSkip=c,this.scopedSkip=u,this.dialects=f,this.externalProps=d,this.autoDelim=p}toString(){return Object.values(this.rules).join("\n")}}class Vt extends Ht{constructor(e,t,n,i,s){super(e),this.id=t,this.props=n,this.params=i,this.expr=s}toString(){return this.id.name+(this.params.length?`<${this.params.join()}>`:"")+" -> "+this.expr}}class Wt extends Ht{constructor(e,t){super(e),this.items=t}}class Gt extends Ht{constructor(e,t){super(e),this.items=t}}class Ut extends Ht{constructor(e,t,n){super(e),this.a=t,this.b=n}}class Kt extends Ht{constructor(e,t,n,i,s){super(e),this.precedences=t,this.conflicts=n,this.rules=i,this.literals=s}}class Jt extends Ht{constructor(e,t,n,i){super(e),this.precedences=t,this.rules=n,this.fallback=i}}class Yt extends Ht{constructor(e,t,n){super(e),this.literal=t,this.props=n}}class Xt extends Ht{constructor(e,t,n){super(e),this.id=t,this.source=n}}class Qt extends Ht{constructor(e,t,n,i){super(e),this.id=t,this.source=n,this.tokens=i}}class Zt extends Ht{constructor(e,t,n,i,s,r){super(e),this.type=t,this.token=n,this.id=i,this.source=s,this.tokens=r}}class en extends Ht{constructor(e,t,n){super(e),this.id=t,this.source=n}}class tn extends Ht{constructor(e,t,n,i){super(e),this.id=t,this.externalID=n,this.source=i}}class nn extends Ht{constructor(e,t){super(e),this.name=t}toString(){return this.name}}class sn extends Ht{walk(e){return e(this)}eq(e){return!1}}sn.prototype.prec=10;class rn extends sn{constructor(e,t,n){super(e),this.id=t,this.args=n}toString(){return this.id.name+(this.args.length?`<${this.args.join()}>`:"")}eq(e){return this.id.name==e.id.name&&vn(this.args,e.args)}walk(e){let t=mn(this.args,e);return e(t==this.args?this:new rn(this.start,this.id,t))}}class on extends sn{constructor(e,t,n,i,s){super(e),this.type=t,this.props=n,this.token=i,this.content=s}toString(){return`@${this.type}[${this.props.join(",")}]<${this.token}, ${this.content}>`}eq(e){return this.type==e.type&&xn.eqProps(this.props,e.props)&&yn(this.token,e.token)&&yn(this.content,e.content)}walk(e){let t=this.token.walk(e),n=this.content.walk(e);return e(t==this.token&&n==this.content?this:new on(this.start,this.type,this.props,t,n))}}class an extends sn{constructor(e,t){super(e),this.rule=t}toString(){let e=this.rule;return`${e.id}${e.props.length?`[${e.props.join(",")}]`:""} { ${e.expr} }`}eq(e){let t=this.rule,n=e.rule;return yn(t.expr,n.expr)&&t.id.name==n.id.name&&xn.eqProps(t.props,n.props)}walk(e){let t=this.rule,n=t.expr.walk(e);return e(n==t.expr?this:new an(this.start,new Vt(t.start,t.id,t.props,[],n)))}}class ln extends sn{constructor(e,t){super(e),this.exprs=t}toString(){return this.exprs.map((e=>kn(e,this))).join(" | ")}eq(e){return vn(this.exprs,e.exprs)}walk(e){let t=mn(this.exprs,e);return e(t==this.exprs?this:new ln(this.start,t))}}ln.prototype.prec=1;class hn extends sn{constructor(e,t,n,i=!1){super(e),this.exprs=t,this.markers=n,this.empty=i}toString(){return this.empty?"()":this.exprs.map((e=>kn(e,this))).join(" ")}eq(e){return vn(this.exprs,e.exprs)&&this.markers.every(((t,n)=>{let i=e.markers[n];return t.length==i.length&&t.every(((e,t)=>e.eq(i[t])))}))}walk(e){let t=mn(this.exprs,e);return e(t==this.exprs?this:new hn(this.start,t,this.markers,this.empty&&!t.length))}}hn.prototype.prec=2;class cn extends Ht{constructor(e,t,n){super(e),this.id=t,this.type=n}toString(){return("ambig"==this.type?"~":"!")+this.id.name}eq(e){return this.id.name==e.id.name&&this.type==e.type}}class un extends sn{constructor(e,t,n){super(e),this.expr=t,this.kind=n}toString(){return kn(this.expr,this)+this.kind}eq(e){return yn(this.expr,e.expr)&&this.kind==e.kind}walk(e){let t=this.expr.walk(e);return e(t==this.expr?this:new un(this.start,t,this.kind))}}un.prototype.prec=3;class fn extends sn{constructor(e,t){super(e),this.value=t}toString(){return JSON.stringify(this.value)}eq(e){return this.value==e.value}}class dn extends sn{constructor(e,t,n){super(e),this.ranges=t,this.inverted=n}toString(){return`[${this.inverted?"^":""}${this.ranges.map((([e,t])=>String.fromCodePoint(e)+(t==e+1?"":"-"+String.fromCodePoint(t))))}]`}eq(e){return this.inverted==e.inverted&&this.ranges.length==e.ranges.length&&this.ranges.every((([t,n],i)=>{let[s,r]=e.ranges[i];return t==s&&n==r}))}}class pn extends sn{constructor(e){super(e)}toString(){return"_"}eq(){return!0}}function mn(e,t){let n=null;for(let i=0;iyn(e,t[n])))}class xn extends Ht{constructor(e,t,n,i){super(e),this.at=t,this.name=n,this.value=i}eq(e){return this.name==e.name&&this.value.length==e.value.length&&this.value.every(((t,n)=>t.value==e.value[n].value&&t.name==e.value[n].name))}toString(){let e=(this.at?"@":"")+this.name;if(this.value.length){e+="=";for(let{name:t,value:n}of this.value)e+=t?`{${t}}`:/[^\w-]/.test(n)?JSON.stringify(n):n}return e}static eqProps(e,t){return e.length==t.length&&e.every(((e,n)=>e.eq(t[n])))}}class wn extends Ht{constructor(e,t,n){super(e),this.value=t,this.name=n}}function kn(e,t){return e.prec0}get eof(){return(4&this.flags)>0}get error(){return"error"in this.props}get top(){return(2&this.flags)>0}get interesting(){return this.flags>0||null!=this.nodeName}get repeated(){return(16&this.flags)>0}set preserve(e){this.flags=e?8|this.flags:-9&this.flags}get preserve(){return(8&this.flags)>0}set inline(e){this.flags=e?32|this.flags:-33&this.flags}get inline(){return(32&this.flags)>0}cmp(e){return this.hash-e.hash}}class Mn{constructor(){this.terms=[],this.names=Object.create(null),this.tops=[],this.eof=this.term("␄",null,5),this.error=this.term("⚠","⚠",8)}term(e,t,n=0,i={}){let s=new On(e,n,t,i);return this.terms.push(s),this.names[e]=s,s}makeTop(e,t){const n=this.term("@top",e,2,t);return this.tops.push(n),n}makeTerminal(e,t,n={}){return this.term(e,t,1,n)}makeNonTerminal(e,t,n={}){return this.term(e,t,0,n)}makeRepeat(e){return this.term(e,null,16)}uniqueName(e){for(let t=0;;t++){let n=t?`${e}-${t}`:e;if(!this.names[n])return n}}finish(e){for(let t of e)t.name.rules.push(t);this.terms=this.terms.filter((t=>t.terminal||t.preserve||e.some((e=>e.name==t||e.parts.includes(t)))));let t={},n=[this.error];this.error.id=0;let i=1;for(let e of this.terms)e.id<0&&e.nodeType&&!e.repeated&&(e.id=i++,n.push(e));let s=i;for(let e of this.terms)e.repeated&&(e.id=i++,n.push(e));this.eof.id=i++;for(let e of this.terms)e.id<0&&(e.id=i++),e.name&&(t[e.id]=e.name);if(i>=65534)throw new Sn("Too many terms");return{nodeTypes:n,names:t,minRepeatTerm:s,maxTerm:i-1}}}function _n(e,t,n){if(e.length!=t.length)return e.length-t.length;for(let i=0;iet?1:0))||this.cut-e.cut}}function Nn(e,t){if(0==e.length||e==t)return t;if(0==t.length)return e;let n=e.slice();for(let i of t)e.includes(i)||n.push(i);return n.sort()}En.none=new En(0);let Dn=0;class Pn{constructor(e,t,n,i){this.name=e,this.parts=t,this.conflicts=n,this.skip=i,this.id=Dn++}cmp(e){return this.id-e.id}cmpNoName(e){return 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e)t.includes(n.from)||t.push(n.from),t.includes(n.to)||t.push(n.to);t.sort(((e,t)=>e-t));for(let i=1;is&&t.from65535==e.from&&65535==e.to));if(i.length){let e=[];for(let t of i)for(let n of t.target.closure())e.includes(n)||e.push(n);e.length&&n.push(new qn(65535,65535,e))}return n}(o);for(let e of a){let n=e.targets.sort(((e,t)=>e.id-t.id));r.edge(e.from,e.to,t[Hn(n)]||i(n))}return r}(this.closure().sort(((e,t)=>e.id-t.id)));return function(e,t){let n=Object.create(null),i=Object.create(null);for(let t of e){let e=Hn(t.accepting),s=i[e]||(i[e]=[]);s.push(t),n[t.id]=s}for(;;){let i=!1,s=Object.create(null);for(let t of e){if(s[t.id])continue;let e=n[t.id];if(1==e.length){s[e[0].id]=e;continue}let r=[];e:for(let t of e){for(let e of r)if(Ln(t,e[0],n)){e.push(t);continue e}r.push([t])}r.length>1&&(i=!0);for(let e of r)for(let t of e)s[t.id]=e}if(!i)return Bn(e,t,n);n=s}}(Object.values(t),i)}closure(){let e=[],t=Object.create(null);return function n(i){if(!t[i.id]){t[i.id]=!0,(i.edges.some((e=>e.from>=0))||i.accepting.length>0&&!i.edges.some((e=>function(e,t){if(e.length!=t.length)return!1;for(let n=0;nt.a==e&&t.b==n));o?o.soft!=i&&(o.soft=0):t.push(new $n(e,n,i,zn(s),r&&zn(r)))}return this.reachable(((t,s)=>{if(0!=t.accepting.length){for(let e=0;e{if(r!=t)for(let a of r.accepting){let r=n.includes(a);for(let l of t.accepting)a!=l&&i(a,l,r||n.includes(l)||!e(a,l)?0:1,s,s.concat(o))}}))}})),t}cycleTerms(){let e=[];this.reachable((t=>{for(let{target:n}of t.edges)e.push(t,n)}));let t=new Map,n=[];for(let i=0;i{t.accepting.length&&(e+=` ${t.id} [label=${JSON.stringify(t.accepting.join())}];\n`);for(let n of t.edges)e+=` ${t.id} ${n};\n`})),e+"}"}toArray(e,t){let n=[],i=[];this.reachable((s=>{let r=i.length,o=r+3+2*s.accepting.length;n[s.id]=r,i.push(s.stateMask(e),o,s.edges.length),s.accepting.sort(((e,n)=>t.indexOf(e.id)-t.indexOf(n.id)));for(let t of s.accepting)i.push(t.id,e[t.id]||65535);for(let e of 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ji{constructor(e,t){this.error=e,this.rules=t}}function Li(e){let t=null,n=1;for(let i of e){let e=i.rule.conflicts[i.pos-1].cut;en)&&(n=e,t=[]),t.push(i))}return t||e}function Bi(e,t,n){for(let i of e.goto)for(let e of t.goto)if(i.term==e.term&&n[i.target.id]!=n[e.target.id])return!1;let i=t.actionsByTerm();for(let t of e.actions){let s=i[t.term.id];if(s&&s.some((e=>!e.matches(t,n)))){if(1==s.length)return!1;let i=e.actionsByTerm()[t.term.id];if(i.length!=s.length||i.some((e=>!s.some((t=>e.matches(t,n))))))return!1}}return!0}function Ii(e,t){let n=[];for(let i of e){let e=t[i.id];n[e]||(n[e]=new Di(e,i.set,0,i.skip,i.hash,i.startRule),n[e].tokenGroup=i.tokenGroup,n[e].defaultReduce=i.defaultReduce)}for(let i of e){let e=n[t[i.id]];e.flags|=i.flags;for(let s=0;se.eq(r)))||(e.actions.push(r),e.actionPositions.push(i.actionPositions[s]))}for(let s of i.goto){let i=s.map(t,n);e.goto.some((e=>e.eq(i)))||e.goto.push(i)}}return n}class Fi{constructor(e,t){this.origin=e,this.members=[t]}}function $i(e,t){if(e.length!=t.length)return!1;for(let n=0;n=34&&t++,t>=92&&t++,String.fromCharCode(t)}function qi(e,t=65535){if(e>t)throw new Error("Trying to encode a number that's too big: "+e);if(65535==e)return String.fromCharCode(126);let n="";for(let t=46;;t=0){let i=e%46,s=e-i;if(n=Hi(i+t)+n,0==s)break;e=s/46}return n}function Vi(e,t=65535){let n='"'+qi(e.length,4294967295);for(let i=0;i{this.input=new Gn(e,t.fileName),this.ast=this.input.parse()}));let n=o.uY;for(let e in n)n[e]instanceof o.uY&&!n[e].perNode&&(this.knownProps[e]={prop:n[e],source:{name:e,from:null}});for(let e of this.ast.externalProps)this.knownProps[e.id.name]={prop:this.options.externalProp?this.options.externalProp(e.id.name):new o.uY,source:{name:e.externalID.name,from:e.source}};this.dialects=this.ast.dialects.map((e=>e.name)),this.tokens=new ls(this,this.ast.tokens),this.localTokens=this.ast.localTokens.map((e=>new hs(this,e))),this.externalTokens=this.ast.externalTokens.map((e=>new ws(this,e))),this.externalSpecializers=this.ast.externalSpecializers.map((e=>new ks(this,e))),xi("Build rules",(()=>{let e=this.newName("%noskip",!0);this.defineRule(e,[]);let t=this.ast.mainSkip?this.newName("%mainskip",!0):e,n=[],i=[];for(let e of this.ast.rules)this.astRules.push({skip:t,rule:e});for(let e of this.ast.topRules)i.push({skip:t,rule:e});for(let s of this.ast.scopedSkip){let r=e,o=this.ast.scopedSkip.findIndex(((e,t)=>t-1?r=n[o]:this.ast.mainSkip&&yn(s.expr,this.ast.mainSkip)?r=t:bs(s.expr)||(r=this.newName("%skip",!0)),n.push(r);for(let e of s.rules)this.astRules.push({skip:r,rule:e});for(let e of s.topRules)i.push({skip:r,rule:e})}for(let{rule:e}of this.astRules)this.unique(e.id);this.currentSkip.push(e),this.skipRules=t==e?[t]:[e,t],t!=e&&this.defineRule(t,this.normalizeExpr(this.ast.mainSkip));for(let t=0;te.rule.start-t.rule.start))){this.unique(e.id),this.used(e.id.name),this.currentSkip.push(t);let{name:n,props:i}=this.nodeInfo(e.props,"a",e.id.name,Wi,Wi,e.expr),s=this.terms.makeTop(n,i);this.namedTerms[n]=s,this.defineRule(s,this.normalizeExpr(e.expr)),this.currentSkip.pop()}for(let e of this.externalSpecializers)e.finish();for(let{skip:e,rule:t}of this.astRules)this.ruleNames[t.id.name]&&As(t)&&!t.params.length&&(this.buildRule(t,[],e,!1),t.expr instanceof hn&&0==t.expr.exprs.length&&this.used(t.id.name))}));for(let e in this.ruleNames){let t=this.ruleNames[e];t&&this.warn(`Unused rule '${t.name}'`,t.start)}this.tokens.takePrecedences(),this.tokens.takeConflicts();for(let e of this.localTokens)e.takePrecedences();for(let{name:e,group:t,rule:n}of this.definedGroups)this.defineGroup(e,t,n);this.checkGroups()}unique(e){e.name in this.ruleNames&&this.raise(`Duplicate definition of rule '${e.name}'`,e.start),this.ruleNames[e.name]=e}used(e){this.ruleNames[e]=null}newName(e,t=null,n={}){for(let i=t?0:1;;i++){let s=i?`${e}-${i}`:e;if(!this.terms.names[s])return this.terms.makeNonTerminal(s,!0===t?null:t,n)}}prepareParser(){let e=xi("Simplify rules",(()=>function(e,t){return function(e){let t,n=Object.create(null);for(let i=0;i!n[e.name]))?t:new Pn(t.name,t.parts.map((e=>n[e.name]||e)),t.conflicts,t.skip));return i}(function(e,t){for(let n=0;;n++){let i,s=Object.create(null);if(0==n)for(let o of e)if(o.name.inline&&!s[o.name.name]){let a=e.filter((e=>e.name==o.name));if(a.some((e=>e.parts.includes(o.name))))continue;i=s[o.name.name]=a}for(let l=0;le.skip==h.skip||!e.parts.includes(h.name)))||h.parts.some((e=>!!s[e.name]))||e.some(((e,t)=>t!=l&&e.name==h.name))||(i=s[h.name.name]=[h])}if(!i)return e;let r=[];for(let c of e){function u(e,t,n){if(e==c.parts.length)return void r.push(new Pn(c.name,n,t,c.skip));let i=c.parts[e],o=s[i.name];if(o)for(let i of o)u(e+1,t.slice(0,t.length-1).concat(t[e].join(i.conflicts[0])).concat(i.conflicts.slice(1,i.conflicts.length-1)).concat(c.conflicts[e+1].join(i.conflicts[i.conflicts.length-1])),n.concat(i.parts));else u(e+1,t.concat(c.conflicts[e+1]),n.concat(i))}s[c.name.name]||(c.parts.some((e=>!!s[e.name]))?u(0,[c.conflicts[0]],[]):r.push(c))}e=r}}(e,t))}(this.rules,[...this.skipRules,...this.terms.tops]))),{nodeTypes:t,names:n,minRepeatTerm:i,maxTerm:s}=this.terms.finish(e);for(let e in this.namedTerms)this.termTable[e]=this.namedTerms[e].id;/\bgrammar\b/.test(yi)&&console.log(e.join("\n"));let r=this.terms.tops.slice(),o=function(e){let t=Object.create(null);for(let n of e.terms)n.terminal||(t[n.name]=[]);for(;;){let n=!1;for(let i of e.terms)if(!i.terminal)for(let e of i.rules){let s=t[i.name],r=!1,o=s.length;for(let n of e.parts){if(r=!0,n.terminal)Pi(n,s);else for(let e of t[n.name])null==e?r=!1:Pi(e,s);if(r)break}r||Pi(null,s),s.length>o&&(n=!0)}if(!n)return 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wi(l,0,[],zi,o,a),n.push(t)}if(t.skipAhead!=o)throw new Sn("Inconsistent skip sets after "+a.trail());t.ambigAhead=Nn(t.ambigAhead,r);for(let e of s)t.ahead.includes(e)||(t.ahead.push(e),t.rule.parts.length&&!t.rule.parts[0].terminal&&Pi(t,i))}}for(let n of e){let e=n.next;e&&!e.terminal&&s(e,Ai(n.rule,n.pos,n.ahead,t),n.conflicts(n.pos+1).ambigGroups,n.pos==n.rule.parts.length-1?n.skipAhead:n.rule.skip,n)}for(;i.length;){let e=i.pop();s(e.rule.parts[0],Ai(e.rule,0,e.ahead,t),Nn(e.rule.conflicts[1].ambigGroups,1==e.rule.parts.length?e.ambigAhead:zi),1==e.rule.parts.length?e.skipAhead:e.rule.skip,e)}let r=e.slice();for(let t of n){t.ahead.sort(((e,t)=>e.hash-t.hash)),t.finish();let n=e.findIndex((e=>0==e.pos&&e.rule==t.rule));n>-1?r[n]=t:r.push(t)}return r.sort(((e,t)=>e.cmp(t)))}(e,n),f=Ei(u),d=s[f]||(s[f]=[]);if(!t)for(let e of d)e.hasSet(u)&&(c=e);return c||(c=new Di(i.length,u,0,a,f,t),d.push(c),i.push(c),vi&&i.length%500==0&&console.log(`${i.length} states after 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instanceof ws?e.ast.start:this.tokens.ast?this.tokens.ast.start:-1,b=c.concat(this.externalTokens).sort(((e,t)=>g(e)-g(t))).concat(h),y=new es,v=a.map((e=>{let t=[];for(let n of e.skip)t.push(n.id,0,4);if(e.rule){let n=d.find((t=>t.startRule==e.rule));for(let e of n.actions)t.push(e.term.id,n.id,2)}return t.push(65535,0),y.storeArray(t)})),x=xi("Finish states",(()=>{let e=new Uint32Array(6*d.length),t=this.computeForceReductions(d,a),n=new Yi(b,y,e,v,a,d,this);for(let e of d)n.finish(e,p(e.id),t[e.id]);return e})),w=Object.create(null);for(let e=0;ee.id)).concat(65535));let k=null;if(this.dynamicRulePrecedences.length){k=Object.create(null);for(let{rule:e,prec:t}of this.dynamicRulePrecedences)k[e.id]=t}let S=Object.create(null);for(let e of this.terms.tops)S[e.nodeName]=[d.find((t=>t.startRule==e)).id,e.id];let C=y.storeArray(u.concat(65535)),{nodeProps:A,skippedTypes:O}=this.gatherNodeProps(t);return{states:x,stateData:y.finish(),goto:ts(d),nodeNames:t.filter((e=>e.ide.nodeName)).join(" "),nodeProps:A,skippedTypes:O,maxTerm:s,repeatNodeCount:t.length-i,tokenizers:b,tokenData:f,topRules:S,dialects:w,dynamicPrecedences:k,specialized:m,tokenPrec:C,termNames:n}}getParser(){let{states:e,stateData:t,goto:n,nodeNames:i,nodeProps:s,skippedTypes:r,maxTerm:o,repeatNodeCount:a,tokenizers:l,tokenData:h,topRules:c,dialects:u,dynamicPrecedences:f,specialized:d,tokenPrec:p,termNames:m}=this.prepareParser(),g=d.map((e=>{if(e instanceof ks){let t=this.options.externalSpecializer(e.ast.id.name,this.termTable);return{term:e.term.id,get:(n,i)=>t(n,i)<<1|("extend"==e.ast.type?1:0),external:t,extend:"extend"==e.ast.type}}return{term:e.token.id,get:t=>e.table[t]||-1}}));return zt.U1.deserialize({version:14,states:e,stateData:t,goto:n,nodeNames:i,maxTerm:o,repeatNodeCount:a,nodeProps:s.map((({prop:e,terms:t})=>[this.knownProps[e].prop,...t])),propSources:this.options.externalPropSource?this.ast.externalPropSources.map((e=>this.options.externalPropSource(e.id.name))):void 0,skippedNodes:r,tokenData:h,tokenizers:l.map((e=>e.create())),context:this.ast.context?"function"==typeof this.options.contextTracker?this.options.contextTracker(this.termTable):this.options.contextTracker:void 0,topRules:c,dialects:u,dynamicPrecedences:f,specialized:g,tokenPrec:p,termNames:m})}getParserFile(){let{states:e,stateData:t,goto:n,nodeNames:i,nodeProps:s,skippedTypes:r,maxTerm:o,repeatNodeCount:a,tokenizers:l,tokenData:h,topRules:c,dialects:u,dynamicPrecedences:f,specialized:d,tokenPrec:p,termNames:m}=this.prepareParser(),g=this.options.moduleStyle||"es",b="// This file was generated by lezer-generator. 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n=S("spec_"+e.token.name.replace(/\W/g,""));w[n]=!0,T+=`const ${n} = ${t=e.table,"{__proto__:null,"+Object.keys(t).map((e=>`${/^(\d+|[a-zA-Z_]\w*)$/.test(e)?e:JSON.stringify(e)}:${t[e]}`)).join(", ")+"}"}\n`;let i=this.options.typeScript?`: keyof typeof ${n}`:"";return`{term: ${e.token.id}, get: (value${i}) => ${n}[value] || -1}`}var t})),N=this.ast.externalPropSources.map((e=>C(e.id.name,e.source)));for(let e in v)y+="cjs"==g?`const {${v[e].join(", ")}} = require(${e})\n`:`import {${v[e].join(", ")}} from ${e}\n`;function D(e){return"string"!=typeof e||/^(true|false|\d+(\.\d+)?|\.\d+)$/.test(e)?e:JSON.stringify(e)}y+=T;let P=Object.keys(u).map((e=>`${e}: ${u[e]}`)),R=`${A}.deserialize({\n version: 14,\n states: ${Vi(e,4294967295)},\n stateData: ${Vi(t)},\n goto: ${Vi(n)},\n nodeNames: ${JSON.stringify(i)},\n maxTerm: ${o}${M?`,\n context: ${M}`:""}${_.length?`,\n nodeProps: [\n ${_.join(",\n ")}\n ]`:""}${N.length?`,\n propSources: [${N.join()}]`:""}${r.length?`,\n skippedNodes: 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i)n.push(e);n.push(e)}}return{prop:e,terms:n}})),skippedTypes:n}}makeTerminal(e,t,n){return this.terms.makeTerminal(this.terms.uniqueName(e),t,n)}computeForceReductions(e,t){let n=[],i=[],s=Object.create(null);for(let t of e){n.push(0);for(let e of t.goto){let n=s[e.term.id]||(s[e.term.id]=[]),i=n.find((t=>t.target==e.target.id));i?i.parents.push(t.id):n.push({parents:[t.id],target:e.target.id})}i[t.id]=t.set.filter((e=>e.pos>0&&!e.rule.name.top)).sort(((e,t)=>t.pos-e.pos||e.rule.parts.length-t.rule.parts.length))}let r=Object.create(null);function o(e,t,n=null){let i=s[e];return!!i&&i.some((e=>{let i=n?n.filter((t=>e.parents.includes(t))):e.parents;if(0==i.length)return!1;if(e.target==t)return!0;let s=r[e.target];return null!=s&&o(s,t,i)}))}for(let i of e)i.defaultReduce&&i.defaultReduce.parts.length>0&&(n[i.id]=Zi(i.defaultReduce,t),1==i.defaultReduce.parts.length&&(r[i.id]=i.defaultReduce.name.id));for(let s=1;;s++){let a=!0;for(let l of e){if(l.defaultReduce)continue;let e=i[l.id];if(e.length==s){for(let i of e)if(1!=i.pos||!o(i.rule.name.id,l.id)){n[l.id]=Zi(i.rule,t,i.pos),1==i.pos&&(r[l.id]=i.rule.name.id);break}}else e.length>s&&(a=!1)}if(a)break}return n}substituteArgs(e,t,n){return 0==t.length?e:e.walk((e=>{let i;if(e instanceof rn&&(i=n.findIndex((t=>t.name==e.id.name)))>-1){let n=t[i];if(e.args.length){if(n instanceof rn&&!n.args.length)return new rn(e.start,n.id,e.args);this.raise("Passing arguments to a parameter that already has arguments",e.start)}return n}if(e instanceof an){let i=e.rule,s=this.substituteArgsInProps(i.props,t,n);return s==i.props?e:new an(e.start,new Vt(i.start,i.id,s,i.params,i.expr))}if(e instanceof on){let i=this.substituteArgsInProps(e.props,t,n);return i==e.props?e:new on(e.start,e.type,i,e.token,e.content)}return e}))}substituteArgsInProps(e,t,n){let i=e=>{let i=e;for(let s=0;se.name==r.name));if(o<0)continue;i==e&&(i=e.slice());let a=t[o];a instanceof rn&&!a.args.length?i[s]=new wn(r.start,a.id.name,null):a instanceof fn?i[s]=new wn(r.start,a.value,null):this.raise(`Trying to interpolate expression '${a}' into a prop`,r.start)}return i},s=e;for(let t=0;te.id.name==i.id.name)):-1;s<0&&this.raise(`Reference to unknown precedence: '${i.id.name}'`,i.id.start);let r=e.items[s],o=e.items.length-s;"cut"==r.type?t=t.join(new En(0,Wi,o)):(t=t.join(new En(o<<2)),n=n.join(new En((o<<2)+("left"==r.type?1:"right"==r.type?-1:0))))}return{here:t,atEnd:n}}raise(e,t=1){return this.input.raise(e,t)}warn(e,t=-1){let n=this.input.message(e,t);this.options.warn?this.options.warn(n):console.warn(n)}defineRule(e,t){let n=this.currentSkip[this.currentSkip.length-1];for(let i of t)this.rules.push(new Pn(e,i.terms,i.ensureConflicts(),n))}resolve(e){for(let t of this.built)if(t.matches(e))return[Ui(t.term)];let t=this.tokens.getToken(e);if(t)return[Ui(t)];for(let t of this.localTokens){let n=t.getToken(e);if(n)return[Ui(n)]}for(let t of this.externalTokens){let n=t.getToken(e);if(n)return[Ui(n)]}for(let t of this.externalSpecializers){let n=t.getToken(e);if(n)return[Ui(n)]}let n=this.astRules.find((t=>t.rule.id.name==e.id.name));return n?(n.rule.params.length!=e.args.length&&this.raise(`Wrong number or arguments for '${e.id.name}'`,e.start),this.used(n.rule.id.name),[Ui(this.buildRule(n.rule,e.args,n.skip))]):this.raise(`Reference to undefined rule '${e.id.name}'`,e.start)}normalizeRepeat(e){let t=this.built.find((t=>t.matchesRepeat(e)));if(t)return Ui(t.term);let n=e.expr.precthis.normalizeExpr(e))),n=this;return function i(s,r,o){let{here:a,atEnd:l}=n.conflictsFor(e.markers[r]);if(r==t.length)return[s.withConflicts(s.terms.length,a.join(o))];let h=[];for(let e of t[r])for(let t of i(s.concat(e).withConflicts(s.terms.length,a),r+1,o.join(l)))h.push(t);return h}(Gi.none,0,En.none)}normalizeExpr(e){if(e instanceof un&&"?"==e.kind)return[Gi.none,...this.normalizeExpr(e.expr)];if(e instanceof un){let t=this.normalizeRepeat(e);return"+"==e.kind?[t]:[Gi.none,t]}return e instanceof ln?e.exprs.reduce(((e,t)=>e.concat(this.normalizeExpr(t))),[]):e instanceof hn?this.normalizeSequence(e):e instanceof fn?[Ui(this.tokens.getLiteral(e))]:e instanceof rn?this.resolve(e):e instanceof on?[Ui(this.resolveSpecialization(e))]:e instanceof an?[Ui(this.buildRule(e.rule,Wi,this.currentSkip[this.currentSkip.length-1],!0))]:this.raise(`This type of expression ('${e}') may not occur in non-token rules`,e.start)}buildRule(e,t,n,i=!1){let s=this.substituteArgs(e.expr,t,e.params),{name:r,props:o,dynamicPrec:a,inline:l,group:h,exported:c}=this.nodeInfo(e.props||Wi,i?"pg":"pgi",e.id.name,t,e.params,e.expr);c&&e.params.length&&this.warn("Can't export parameterized rules",e.start),c&&i&&this.warn("Can't export inline rule",e.start);let u=this.newName(e.id.name+(t.length?"<"+t.join(",")+">":""),r||!0,o);l&&(u.inline=!0),a&&this.registerDynamicPrec(u,a),(u.nodeType||c)&&0==e.params.length&&(r||(u.preserve=!0),i||(this.namedTerms[c||e.id.name]=u)),i||this.built.push(new Ki(e.id.name,t,u)),this.currentSkip.push(n);let f=this.normalizeExpr(s);return f.length>100*(s instanceof ln?s.exprs.length:1)&&this.warn(`Rule ${e.id.name} is generating a lot (${f.length}) of choices.\n Consider splitting it up or reducing the amount of ? or | operator uses.`,e.start),/\brulesize\b/.test(yi)&&f.length>10&&console.log(`Rule ${e.id.name}: ${f.length} variants`),this.defineRule(u,f),this.currentSkip.pop(),h&&this.definedGroups.push({name:u,group:h,rule:e}),u}nodeInfo(e,t,n=null,i=Wi,s=Wi,r,o){let a={},l=n&&(t.indexOf("a")>-1||!function(e){let t=e[0];return"_"==t||t.toUpperCase()!=t}(n))&&!/ /.test(n)?n:null,h=null,c=0,u=!1,f=null,d=null;for(let r of e)if(r.at)if("name"==r.name)l=this.finishProp(r,i,s),/ /.test(l)&&this.raise(`Node names cannot have spaces ('${l}')`,r.start);else if("dialect"==r.name){t.indexOf("d")<0&&this.raise("Can't specify a dialect on non-token rules",e[0].start),1==r.value.length||r.value[0].value||this.raise("The '@dialect' rule prop must hold a plain string value");let n=this.dialects.indexOf(r.value[0].value);n<0&&this.raise(`Unknown dialect '${r.value[0].value}'`,r.value[0].start),h=n}else"dynamicPrecedence"==r.name?(t.indexOf("p")<0&&this.raise("Dynamic precedence can only be specified on nonterminals"),1==r.value.length&&/^-?(?:10|\d)$/.test(r.value[0].value)||this.raise("The '@dynamicPrecedence' rule prop must hold an integer between -10 and 10"),c=+r.value[0].value):"inline"==r.name?(r.value.length&&this.raise("'@inline' doesn't take a value",r.value[0].start),t.indexOf("i")<0&&this.raise("Inline can only be specified on nonterminals"),u=!0):"isGroup"==r.name?(t.indexOf("g")<0&&this.raise("'@isGroup' can only be specified on nonterminals"),f=r.value.length?this.finishProp(r,i,s):n):"export"==r.name?d=r.value.length?this.finishProp(r,i,s):n:this.raise(`Unknown built-in prop name '@${r.name}'`,r.start);else{if(!this.knownProps[r.name]){let e=["name","dialect","dynamicPrecedence","export","isGroup"].includes(r.name)?` (did you mean '@${r.name}'?)`:"";this.raise(`Unknown prop name '${r.name}'${e}`,r.start)}a[r.name]=this.finishProp(r,i,s)}if(r&&this.ast.autoDelim&&(l||Cn(a))){let e=this.findDelimiters(r);e&&(Xi(e[0],"closedBy",e[1].nodeName),Xi(e[1],"openedBy",e[0].nodeName))}if(o&&Cn(o))for(let e in o)e in a||(a[e]=o[e]);return Cn(a)&&!l&&this.raise("Node has properties but no name",e.length?e[0].start:r.start),u&&(Cn(a)||h||c)&&this.raise("Inline nodes can't have props, dynamic precedence, or a dialect",e[0].start),u&&l&&(l=null),{name:l,props:a,dialect:h,dynamicPrec:c,inline:u,group:f,exported:d}}finishProp(e,t,n){return e.value.map((e=>{if(e.value)return e.value;let i=n.findIndex((t=>t.name==e.name));i<0&&this.raise(`Property refers to '${e.name}', but no parameter by that name is in scope`,e.start);let s=t[i];return s instanceof rn&&!s.args.length?s.id.name:s instanceof fn?s.value:this.raise(`Expression '${s}' can not be used as part of a property value`,e.start)})).join("")}resolveSpecialization(e){let t,n=e.type,{name:i,props:s,dialect:r,exported:o}=this.nodeInfo(e.props,"d"),a=this.normalizeExpr(e.token);if(1==a.length&&1==a[0].terms.length&&a[0].terms[0].terminal||this.raise(`The first argument to '${n}' must resolve to a token`,e.token.start),e.content instanceof fn)t=[e.content.value];else{if(!(e.content instanceof ln&&e.content.exprs.every((e=>e instanceof fn))))return this.raise(`The second argument to '${e.type}' must be a literal or choice of literals`,e.content.start);t=e.content.exprs.map((e=>e.value))}let l=a[0].terms[0],h=null,c=this.specialized[l.name]||(this.specialized[l.name]=[]);for(let a of t){let t=c.find((e=>e.value==a));null==t?(h||(h=this.makeTerminal(l.name+"/"+JSON.stringify(a),i,s),null!=r&&(this.tokens.byDialect[r]||(this.tokens.byDialect[r]=[])).push(h)),c.push({value:a,term:h,type:n,dialect:r,name:i}),this.tokenOrigins[h.name]={spec:l},(i||o)&&(i||(h.preserve=!0),this.namedTerms[o||i]=h)):(t.type!=n&&this.raise(`Conflicting specialization types for ${JSON.stringify(a)} of ${l.name} (${n} vs ${t.type})`,e.start),t.dialect!=r&&this.raise(`Conflicting dialects for specialization ${JSON.stringify(a)} of ${l.name}`,e.start),t.name!=i&&this.raise(`Conflicting names for specialization ${JSON.stringify(a)} of ${l.name}`,e.start),h&&t.term!=h&&this.raise(`Conflicting specialization tokens for ${JSON.stringify(a)} of ${l.name}`,e.start),h=t.term)}return h}findDelimiters(e){if(!(e instanceof hn)||e.exprs.length<2)return null;let t=e=>{if(e instanceof fn)return{term:this.tokens.getLiteral(e),str:e.value};if(e instanceof rn&&0==e.args.length){let n=this.ast.rules.find((t=>t.id.name==e.id.name));if(n)return t(n.expr);let i=this.tokens.rules.find((t=>t.id.name==e.id.name));if(i&&i.expr instanceof fn)return{term:this.tokens.getToken(e),str:i.expr.value}}return null},n=t(e.exprs[e.exprs.length-1]);if(!n||!n.term.nodeName)return null;let i=["()","[]","{}","<>"].find((e=>n.str.indexOf(e[1])>-1&&n.str.indexOf(e[0])<0));if(!i)return null;let s=t(e.exprs[0]);return!s||!s.term.nodeName||s.str.indexOf(i[0])<0||s.str.indexOf(i[1])>-1?null:[s.term,n.term]}registerDynamicPrec(e,t){this.dynamicRulePrecedences.push({rule:e,prec:t}),e.preserve=!0}defineGroup(e,t,n){var i;let s=[],r=e=>{if(e.nodeName)return[e];s.includes(e)&&this.raise(`Rule '${n.id.name}' cannot define a group because it contains a non-named recursive rule ('${e.name}')`,n.start);let t=[];s.push(e);for(let i of this.rules)if(i.name==e){let e=i.parts.map(r).filter((e=>e.length));if(e.length>1&&this.raise(`Rule '${n.id.name}' cannot define a group because some choices produce multiple named nodes`,n.start),1==e.length)for(let n of e[0])t.push(n)}return s.pop(),t};for(let n of r(e))n.props.group=((null===(i=n.props.group)||void 0===i?void 0:i.split(" "))||[]).concat(t).sort().join(" ")}checkGroups(){let e=Object.create(null),t=Object.create(null);for(let n of this.terms.terms)if(n.nodeName&&(t[n.nodeName]=!0,n.props.group))for(let t of n.props.group.split(" "))(e[t]||(e[t]=[])).push(n);let n=Object.keys(e);for(let i=0;ii.includes(e)))&&(r.length>i.length?i.some((e=>!r.includes(e))):r.some((e=>!i.includes(e))))&&this.warn(`Groups '${s}' and '${n[t]}' overlap without one being a superset of the other`)}}}}class Yi{constructor(e,t,n,i,s,r,o){this.tokenizers=e,this.data=t,this.stateArray=n,this.skipData=i,this.skipInfo=s,this.states=r,this.builder=o,this.sharedActions=[]}findSharedActions(e){if(e.actions.length<5)return null;let t=null;for(let n of this.sharedActions)(!t||n.actions.length>t.actions.length)&&n.actions.every((t=>e.actions.some((e=>e.eq(t)))))&&(t=n);if(t)return t;let n=null,i=[];for(let t=e.id+1;t=5&&(!n||n.lengthe.eq(s))))if(s instanceof _i)i.push(s.term.id,s.target.id,0);else{let e=Zi(s.rule,this.skipInfo);e!=t&&i.push(s.term.id,65535&e,e>>16)}return i.push(65535),t>-1?i.push(2,65535&t,t>>16):n?i.push(1,65535&n.addr,n.addr>>16):i.push(0),this.data.storeArray(i)}finish(e,t,n){let i=this.builder,s=i.skipRules.indexOf(e.skip),r=this.skipData[s],o=this.skipInfo[s].startTokens,a=e.defaultReduce?Zi(e.defaultReduce,this.skipInfo):0,l=t?1:0,h=-1,c=null;if(0==a){if(t)for(const t of e.actions)t instanceof Ti&&t.term.eof&&(h=Zi(t.rule,this.skipInfo));h<0&&(c=this.findSharedActions(e))}e.set.some((e=>e.rule.name.top&&e.pos==e.rule.parts.length))&&(l|=2);let u=[];for(let t=0;tt.rule==e.name))?262144:0)|n<<19}class es{constructor(){this.data=[]}storeArray(e){let t=function(e,t){e:for(let n=0;;){let i=e.indexOf(t[0],n);if(-1==i||i+t.length>e.length)break;for(let s=1;s-1)return t;let n=this.data.length;for(let t of e)this.data.push(t);return n}finish(){return Uint16Array.from(this.data)}}function ts(e){let t={},n=0;for(let i of e)for(let e of i.goto){n=Math.max(e.term.id,n);let s=t[e.term.id]||(t[e.term.id]={});(s[e.target.id]||(s[e.target.id]=[])).push(i.id)}let i=new es,s=[],r=n+2;for(let e=0;e<=n;e++){let n=t[e];if(!n){s.push(1);continue}let o=[],a=Object.keys(n);for(let e of a){let t=n[e];o.push((e==a[a.length-1]?1:0)+(t.length<<1)),o.push(+e);for(let e of t)o.push(e)}s.push(i.storeArray(o)+r)}if(s.some((e=>e>65535)))throw new Sn("Goto table too large");return Uint16Array.from([n+1,...s,...i.data])}class ns{constructor(e,t){this.tokens=e,this.groupID=t}create(){return this.groupID}createSource(){return String(this.groupID)}}function is(e,t){e.includes(t)||e.push(t)}function ss(e){let t=Object.create(null);for(let n of e){let e=1<e.id.name==t));if(!n)return null;let{name:i,props:s,dialect:r,exported:o}=this.b.nodeInfo(n.props,"d",t,e.args,n.params.length!=e.args.length?Wi:n.params),a=this.b.makeTerminal(e.toString(),i,s);return null!=r&&(this.byDialect[r]||(this.byDialect[r]=[])).push(a),(a.nodeType||o)&&0==n.params.length&&(a.nodeType||(a.preserve=!0),this.b.namedTerms[o||t]=a),this.buildRule(n,e,this.startState,new Fn([a])),this.built.push(new Ki(t,e.args,a)),a}buildRule(e,t,n,i,s=Wi){let r=t.id.name;e.params.length!=t.args.length&&this.b.raise(`Incorrect number of arguments for token '${r}'`,t.start);let o=this.building.find((e=>e.name==r&&vn(t.args,e.args)));if(o){if(o.to==i)return void n.nullEdge(o.start);let e=this.building.length-1;for(;this.building[e].name!=r;)e--;this.b.raise(`Invalid (non-tail) recursion in token rules: ${this.building.slice(e).map((e=>e.name)).join(" -> ")}`,t.start)}this.b.used(e.id.name);let a=new Fn;n.nullEdge(a),this.building.push(new os(r,a,i,t.args)),this.build(this.b.substituteArgs(e.expr,t.args,e.params),a,i,t.args.map(((t,n)=>new rs(e.params[n].name,t,s)))),this.building.pop()}build(e,t,n,i){if(e instanceof rn){let s,r=e.id.name,o=i.find((e=>e.name==r));if(o)return this.build(o.expr,t,n,o.scope);for(let e=0,t=this.b.localTokens;e<=t.length&&(s=(e==t.length?this.b.tokens:t[e]).rules.find((e=>e.id.name==r)),!s);e++);if(!s)return this.b.raise(`Reference to token rule '${r}', which isn't found`,e.start);this.buildRule(s,e,t,n,i)}else if(e instanceof bn)for(let[i,s]of gn[e.type])t.edge(i,s,n);else if(e instanceof ln)for(let s of e.exprs)this.build(s,t,n,i);else if(bs(e))t.nullEdge(n);else if(e instanceof hn){let s=e.markers.find((e=>e.length>0));s&&this.b.raise("Conflict marker in token expression",s[0].start);for(let s=0;st&&n.push([t,i]),t=s;return t<=ds&&n.push([t,ds+1]),n}(e.ranges):e.ranges)gs(t,n,i,s);else if(e instanceof fn)for(let i=0;it.id==e));n&&t.push(n.term)}t.length||this.b.warn(`Precedence specified for unknown token ${i}`,i.start);for(let i of t)xs(e,i,n);n=n.concat(t)}}}precededBy(e,t){let n=this.precedenceRelations.find((t=>t.term==e));return n&&n.after.includes(t)}buildPrecTable(e){let t=[],n=this.precedenceRelations.slice();for(let{a:t,b:i,soft:s}of e)if(s){if(!n.some((e=>e.term==t))||!n.some((e=>e.term==i)))continue;s<0&&([t,i]=[i,t]),xs(n,i,[t]),xs(n,t,[])}e:for(;n.length;){for(let e=0;et.includes(e.id)))){if(t.push(i.term.id),1==n.length)break e;n[e]=n.pop();continue e}}this.b.raise(`Cyclic token precedence relation between ${n.map((e=>e.term)).join(", ")}`)}return t}}class ls extends as{constructor(){super(...arguments),this.explicitConflicts=[]}getLiteral(e){let t=JSON.stringify(e.value);for(let e of this.built)if(e.id==t)return e.term;let n=null,i={},s=null,r=null,o=this.ast?this.ast.literals.find((t=>t.literal==e.value)):null;o&&({name:n,props:i,dialect:s,exported:r}=this.b.nodeInfo(o.props,"da",e.value));let a=this.b.makeTerminal(t,n,i);return null!=s&&(this.byDialect[s]||(this.byDialect[s]=[])).push(a),r&&(this.b.namedTerms[r]=a),this.build(e,this.startState,new Fn([a]),Wi),this.built.push(new Ki(t,Wi,a)),a}takeConflicts(){var e;let t=e=>{if(e instanceof rn){for(let t of this.built)if(t.matches(e))return t.term}else{let t=JSON.stringify(e.value),n=this.built.find((e=>e.id==t));if(n)return n.term}return this.b.warn(`Precedence specified for unknown token ${e}`,e.start),null};for(let n of(null===(e=this.ast)||void 0===e?void 0:e.conflicts)||[]){let e=t(n.a),i=t(n.b);e&&i&&(e.ide.id.name==i.accepting[0].name)).start),/\btokens\b/.test(yi)&&console.log(i.toString());let s=i.findConflicts(function(e,t,n){let i=Object.create(null);function s(e,i){return e.actions.some((e=>e.term==i))||n[t.skipRules.indexOf(e.skip)].startTokens.includes(i)}return(t,n)=>{t.ids(e,t)&&s(e,n)))}}(e,this.b,t)).filter((({a:e,b:t})=>!this.precededBy(e,t)&&!this.precededBy(t,e)));for(let{a:e,b:t}of this.explicitConflicts)s.some((n=>n.a==e&&n.b==t))||s.push(new $n(e,t,0,"",""));let r=s.filter((e=>e.soft)),o=s.filter((e=>!e.soft)),a=[],l=[];for(let i of e){if(i.defaultReduce||i.tokenGroup>-1)continue;let e=[],s=[],r=t[this.b.skipRules.indexOf(i.skip)].startTokens;for(let e of r)i.actions.some((t=>t.term==e))&&this.b.raise(`Use of token ${e.name} conflicts with skip rule`);let h=[];for(let e=0;ee.conflict==n))){let e=n.exampleA?` (example: ${JSON.stringify(n.exampleA)}${n.exampleB?` vs ${JSON.stringify(n.exampleB)}`:""})`:"";a.push({error:`Overlapping tokens ${t.name} and ${r.name} used in same context${e}\nAfter: ${i.set[0].trail()}`,conflict:n})}is(e,t),is(s,r)}}let c=null;for(let t of l)if(!s.some((e=>t.tokens.includes(e)))){for(let n of e)is(t.tokens,n);c=t;break}c||(c=new ns(e,l.length+n),l.push(c)),i.tokenGroup=c.groupID}a.length&&this.b.raise(a.map((e=>e.error)).join("\n\n")),l.length+n>16&&this.b.raise(`Too many different token groups (${l.length}) to represent them as a 16-bit bitfield`);let h=this.buildPrecTable(r);return{tokenGroups:l,tokenPrec:h,tokenData:i.toArray(ss(l),h)}}}class hs extends as{constructor(e,t){super(e,t),this.fallback=null,t.fallback&&e.unique(t.fallback.id)}getToken(e){let t=null;if(this.ast.fallback&&this.ast.fallback.id.name==e.id.name){if(e.args.length&&this.b.raise(`Incorrect number of arguments for ${e.id.name}`,e.start),!this.fallback){let{name:t,props:n,exported:i}=this.b.nodeInfo(this.ast.fallback.props,"",e.id.name,Wi,Wi),s=this.fallback=this.b.makeTerminal(e.id.name,t,n);(s.nodeType||i)&&(s.nodeType||(s.preserve=!0),this.b.namedTerms[i||e.id.name]=s),this.b.used(e.id.name)}t=this.fallback}else t=super.getToken(e);return t&&!this.b.tokenOrigins[t.name]&&(this.b.tokenOrigins[t.name]={group:this}),t}buildLocalGroup(e,t,n){let i=this.startState.compile();i.accepting.length&&this.b.raise(`Grammar contains zero-length tokens (in '${i.accepting[0].name}')`,this.rules.find((e=>e.id.name==i.accepting[0].name)).start);for(let{a:e,b:t,exampleA:n}of i.findConflicts((()=>!0)))this.precededBy(e,t)||this.precededBy(t,e)||this.b.raise(`Overlapping tokens ${e.name} and ${t.name} in local token group${n?` (example: ${JSON.stringify(n)})`:""}`);for(let i of e){if(i.defaultReduce)continue;let e=null,s=t[this.b.skipRules.indexOf(i.skip)].startTokens[0];for(let{term:t}of i.actions){let n=this.b.tokenOrigins[t.name];(null==n?void 0:n.group)==this?e=t:s=t}e&&(s&&this.b.raise(`Tokens from a local token group used together with other tokens (${e.name} with ${s.name})`),i.tokenGroup=n)}let s=this.buildPrecTable(Wi),r=i.toArray({[n]:65535},s),o=r.length,a=new Uint16Array(r.length+s.length+1);return a.set(r,0),a.set(s,o),a[a.length-1]=65535,{groupID:n,create:()=>new zt.uC(a,o,this.fallback?this.fallback.id:void 0),createSource:e=>`new ${e("LocalTokenGroup","@lezer/lr")}(${Vi(a)}, ${o}${this.fallback?`, ${this.fallback.id}`:""})`}}}const cs=65536,us=55296,fs=57344,ds=1114111,ps=56320,ms=57343;function gs(e,t,n,i){if(nfs&&e.edge(Math.max(n,fs),Math.min(i,65536),t),n=cs),i<=cs)return;let s=String.fromCodePoint(n),r=String.fromCodePoint(i-1),o=s.charCodeAt(0),a=s.charCodeAt(1),l=r.charCodeAt(0),h=r.charCodeAt(1);if(o==l){let n=new Fn;e.edge(o,o+1,n),n.edge(a,h+1,t)}else{let n=o,i=l;if(a>ps){n++;let i=new Fn;e.edge(o,o+1,i),i.edge(a,ms+1,t)}if(he.term==t));i<0?e.push({term:t,after:n}):e[i]={term:t,after:e[i].after.concat(n)}}class ws{constructor(e,t){this.b=e,this.ast=t,this.tokens=ys(e,t.tokens);for(let e in this.tokens)this.b.tokenOrigins[this.tokens[e].name]={external:this}}getToken(e){return vs(this.b,this.tokens,e)}create(){return this.b.options.externalTokenizer(this.ast.id.name,this.b.termTable)}createSource(e){let{source:t,id:{name:n}}=this.ast;return e(n,t)}}class ks{constructor(e,t){this.b=e,this.ast=t,this.term=null,this.tokens=ys(e,t.tokens)}finish(){let e=this.b.normalizeExpr(this.ast.token);1==e.length&&1==e[0].terms.length&&e[0].terms[0].terminal||this.b.raise(`The token expression to '@external ${this.ast.type}' must resolve to a token`,this.ast.token.start),this.term=e[0].terms[0];for(let e in this.tokens)this.b.tokenOrigins[this.tokens[e].name]={spec:this.term,external:this}}getToken(e){return vs(this.b,this.tokens,e)}}function Ss(e,t={}){let n=new Ji(e,t),i=n.getParser();return i.termTable=n.termTable,i}const Cs=["await","break","case","catch","continue","debugger","default","do","else","finally","for","function","if","return","switch","throw","try","var","while","with","null","true","false","instanceof","typeof","void","delete","new","in","this","const","class","extends","export","import","super","enum","implements","interface","let","package","private","protected","public","static","yield","require"];function As(e){return e.props.some((e=>e.at&&"export"==e.name))}const 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decoration");if(!this.isReplace&&t!=e)throw new RangeError("Widget decorations can only have zero-length ranges");return super.range(e,t)}}function ge(e,t=!1){let{inclusiveStart:n,inclusiveEnd:i}=e;return null==n&&(n=e.inclusive),null==i&&(i=e.inclusive),{start:null!=n?n:t,end:null!=i?i:t}}function be(e,t,n,i=0){let s=n.length-1;s>=0&&n[s]+i>=e?n[s]=Math.max(n[s],t):n.push(e,t)}me.prototype.point=!0;class ye extends j{constructor(){super(...arguments),this.children=[],this.length=0,this.prevAttrs=void 0,this.attrs=null,this.breakAfter=0}merge(e,t,n,i,s,r){if(n){if(!(n instanceof ye))return!1;this.dom||n.transferDOM(this)}return i&&this.setDeco(n?n.attrs:null),F(this,e,t,n?n.children.slice():[],s,r),!0}split(e){let t=new ye;if(t.breakAfter=this.breakAfter,0==this.length)return t;let{i:n,off:i}=this.childPos(e);i&&(t.append(this.children[n].split(i),0),this.children[n].merge(i,this.children[n].length,null,!1,0,0),n++);for(let e=n;e0&&0==this.children[n-1].length;)this.children[--n].destroy();return this.children.length=n,this.markDirty(),this.length=e,t}transferDOM(e){this.dom&&(this.markDirty(),e.setDOM(this.dom),e.prevAttrs=void 0===this.prevAttrs?this.attrs:this.prevAttrs,this.prevAttrs=void 0,this.dom=null)}setDeco(e){ae(this.attrs,e)||(this.dom&&(this.prevAttrs=this.attrs,this.markDirty()),this.attrs=e)}append(e,t){ie(this,e,t)}addLineDeco(e){let t=e.spec.attributes,n=e.spec.class;t&&(this.attrs=re(t,this.attrs||{})),n&&(this.attrs=re({class:n},this.attrs||{}))}domAtPos(e){return ne(this,e)}reuseDOM(e){"DIV"==e.nodeName&&(this.setDOM(e),this.flags|=6)}sync(e,t){var n;this.dom?4&this.flags&&(T(this.dom),this.dom.className="cm-line",this.prevAttrs=this.attrs?null:void 0):(this.setDOM(document.createElement("div")),this.dom.className="cm-line",this.prevAttrs=this.attrs?null:void 0),void 0!==this.prevAttrs&&(le(this.dom,this.prevAttrs,this.attrs),this.dom.classList.add("cm-line"),this.prevAttrs=void 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j{constructor(e,t,n){super(),this.widget=e,this.length=t,this.deco=n,this.breakAfter=0,this.prevWidget=null}merge(e,t,n,i,s,r){return!(n&&(!(n instanceof ve&&this.widget.compare(n.widget))||e>0&&s<=0||t0)}}class xe extends ce{constructor(e){super(),this.height=e}toDOM(){let e=document.createElement("div");return e.className="cm-gap",this.updateDOM(e),e}eq(e){return e.height==this.height}updateDOM(e){return e.style.height=this.height+"px",!0}get editable(){return!0}get estimatedHeight(){return this.height}ignoreEvent(){return!1}}class we{constructor(e,t,n,i){this.doc=e,this.pos=t,this.end=n,this.disallowBlockEffectsFor=i,this.content=[],this.curLine=null,this.breakAtStart=0,this.pendingBuffer=0,this.bufferMarks=[],this.atCursorPos=!0,this.openStart=-1,this.openEnd=-1,this.text="",this.textOff=0,this.cursor=e.iter(),this.skip=t}posCovered(){if(0==this.content.length)return!this.breakAtStart&&this.doc.lineAt(this.pos).from!=this.pos;let e=this.content[this.content.length-1];return!(e.breakAfter||e instanceof ve&&e.deco.endSide<0)}getLine(){return this.curLine||(this.content.push(this.curLine=new ye),this.atCursorPos=!0),this.curLine}flushBuffer(e=this.bufferMarks){this.pendingBuffer&&(this.curLine.append(ke(new te(-1),e),e.length),this.pendingBuffer=0)}addBlockWidget(e){this.flushBuffer(),this.curLine=null,this.content.push(e)}finish(e){this.pendingBuffer&&e<=this.bufferMarks.length?this.flushBuffer():this.pendingBuffer=0,this.posCovered()||e&&this.content.length&&this.content[this.content.length-1]instanceof ve||this.getLine()}buildText(e,t,n){for(;e>0;){if(this.textOff==this.text.length){let{value:t,lineBreak:n,done:i}=this.cursor.next(this.skip);if(this.skip=0,i)throw new Error("Ran out of text content when drawing inline 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r=ee.create(n.widget||Se.inline,o,o?0:n.startSide),a=this.atCursorPos&&!r.isEditable&&s<=i.length&&(e0),l=!r.isEditable&&(ei.length||n.startSide<=0),h=this.getLine();2!=this.pendingBuffer||a||r.isEditable||(this.pendingBuffer=0),this.flushBuffer(i),a&&(h.append(ke(new te(1),i),s),s=i.length+Math.max(0,s-i.length)),h.append(ke(r,i),s),this.atCursorPos=l,this.pendingBuffer=l?ei.length?1:2:0,this.pendingBuffer&&(this.bufferMarks=i.slice())}else this.doc.lineAt(this.pos).from==this.pos&&this.getLine().addLineDeco(n);o&&(this.textOff+o<=this.text.length?this.textOff+=o:(this.skip+=o-(this.text.length-this.textOff),this.text="",this.textOff=0),this.pos=t),this.openStart<0&&(this.openStart=s)}static build(e,t,n,s,r){let o=new we(e,t,n,r);return o.openEnd=i.om.spans(s,t,n,o),o.openStart<0&&(o.openStart=o.openEnd),o.finish(o.openEnd),o}}function ke(e,t){for(let n of t)e=new Z(n,[e],e.length);return e}class Se extends ce{constructor(e){super(),this.tag=e}eq(e){return e.tag==this.tag}toDOM(){return document.createElement(this.tag)}updateDOM(e){return e.nodeName.toLowerCase()==this.tag}get isHidden(){return!0}}Se.inline=new Se("span"),Se.block=new Se("div");var Ce=function(e){return e[e.LTR=0]="LTR",e[e.RTL=1]="RTL",e}(Ce||(Ce={}));const Ae=Ce.LTR,Oe=Ce.RTL;function Me(e){let t=[];for(let n=0;n=t){if(o.level==n)return r;(s<0||(0!=i?i<0?o.fromt:e[s].level>o.level))&&(s=r)}}if(s<0)throw new RangeError("Index out of range");return s}}function je(e,t){if(e.length!=t.length)return!1;for(let n=0;nl&&o.push(new Re(l,p.from,f)),Ie(e,p.direction==Ae!=!(f%2)?i+1:i,s,p.inner,p.from,p.to,o),l=p.to),d=p.to}else{if(d==n||(t?Le[d]!=a:Le[d]==a))break;d++}u?Be(e,l,d,i+1,s,u,o):lt;){let n=!0,c=!1;if(!h||l>r[h-1].to){let e=Le[l-1];e!=a&&(n=!1,c=16==e)}let u=n||1!=a?null:[],f=n?i:i+1,d=l;e:for(;;)if(h&&d==r[h-1].to){if(c)break e;let p=r[--h];if(!n)for(let e=p.from,n=h;;){if(e==t)break e;if(!n||r[n-1].to!=e){if(Le[e-1]==a)break e;break}e=r[--n].from}u?u.push(p):(p.to=0;e-=3)if(Ne[e+1]==-n){let t=Ne[e+2],n=2&t?s:4&t?1&t?r:s:0;n&&(Le[o]=Le[Ne[e]]=n),a=e;break}}else{if(189==Ne.length)break;Ne[a++]=o,Ne[a++]=t,Ne[a++]=l}else if(2==(i=Le[o])||1==i){let e=i==s;l=e?0:1;for(let t=a-3;t>=0;t-=3){let n=Ne[t+2];if(2&n)break;if(e)Ne[t+2]|=2;else{if(4&n)break;Ne[t+2]|=4}}}}}(e,s,r,i,a),function(e,t,n,i){for(let s=0,r=i;s<=n.length;s++){let o=s?n[s-1].to:e,a=sl;)t==r&&(t=n[--i].from,r=i?n[i-1].to:e),Le[--t]=c;l=o}else r=o,l++}}}(s,r,i,a),Be(e,s,r,t,n,i,o)}function Fe(e){return[new Re(0,e,0)]}let $e="";function ze(e,t,n,s,r){var o;let a=s.head-e.from,l=Re.find(t,a,null!==(o=s.bidiLevel)&&void 0!==o?o:-1,s.assoc),h=t[l],c=h.side(r,n);if(a==c){let e=l+=r?1:-1;if(e<0||e>=t.length)return null;h=t[l=e],a=h.side(!r,n),c=h.side(r,n)}let u=(0,i.zK)(e.text,a,h.forward(r,n));(uh.to)&&(u=c),$e=e.text.slice(Math.min(a,u),Math.max(a,u));let f=l==(r?t.length-1:0)?null:t[l+(r?1:-1)];return f&&u==c&&f.level+(r?0:1)e.some((e=>e))}),Ze=i.sj.define({combine:e=>e.some((e=>e))}),et=i.sj.define();class tt{constructor(e,t="nearest",n="nearest",i=5,s=5,r=!1){this.range=e,this.y=t,this.x=n,this.yMargin=i,this.xMargin=s,this.isSnapshot=r}map(e){return e.empty?this:new tt(this.range.map(e),this.y,this.x,this.yMargin,this.xMargin,this.isSnapshot)}clip(e){return this.range.to<=e.doc.length?this:new tt(i.OF.cursor(e.doc.length),this.y,this.x,this.yMargin,this.xMargin,this.isSnapshot)}}const nt=i.Pe.define({map:(e,t)=>e.map(t)}),it=i.Pe.define();function st(e,t,n){let i=e.facet(Ge);i.length?i[0](t):window.onerror?window.onerror(String(t),n,void 0,void 0,t):n?console.error(n+":",t):console.error(t)}const rt=i.sj.define({combine:e=>!e.length||e[0]});let ot=0;const at=i.sj.define();class lt{constructor(e,t,n,i,s){this.id=e,this.create=t,this.domEventHandlers=n,this.domEventObservers=i,this.extension=s(this)}static define(e,t){const{eventHandlers:n,eventObservers:i,provide:s,decorations:r}=t||{};return new lt(ot++,e,n,i,(e=>{let t=[at.of(e)];return r&&t.push(ft.of((t=>{let n=t.plugin(e);return n?r(n):fe.none}))),s&&t.push(s(e)),t}))}static fromClass(e,t){return lt.define((t=>new e(t)),t)}}class ht{constructor(e){this.spec=e,this.mustUpdate=null,this.value=null}update(e){if(this.value){if(this.mustUpdate){let e=this.mustUpdate;if(this.mustUpdate=null,this.value.update)try{this.value.update(e)}catch(t){if(st(e.state,t,"CodeMirror plugin crashed"),this.value.destroy)try{this.value.destroy()}catch(e){}this.deactivate()}}}else if(this.spec)try{this.value=this.spec.create(e)}catch(t){st(e.state,t,"CodeMirror plugin crashed"),this.deactivate()}return this}destroy(e){var t;if(null===(t=this.value)||void 0===t?void 0:t.destroy)try{this.value.destroy()}catch(t){st(e.state,t,"CodeMirror plugin crashed")}}deactivate(){this.spec=this.value=null}}const ct=i.sj.define(),ut=i.sj.define(),ft=i.sj.define(),dt=i.sj.define(),pt=i.sj.define(),mt=i.sj.define();function gt(e,t){let n=e.state.facet(mt);if(!n.length)return n;let s=n.map((t=>t instanceof Function?t(e):t)),r=[];return i.om.spans(s,t.from,t.to,{point(){},span(e,n,i,s){let o=e-t.from,a=n-t.from,l=r;for(let e=i.length-1;e>=0;e--,s--){let n,r=i[e].spec.bidiIsolate;if(null==r&&(r=He(t.text,o,a)),s>0&&l.length&&(n=l[l.length-1]).to==o&&n.direction==r)n.to=a,l=n.inner;else{let e={from:o,to:a,direction:r,inner:[]};l.push(e),l=e.inner}}}}),r}const bt=i.sj.define();function yt(e){let t=0,n=0,i=0,s=0;for(let r of e.state.facet(bt)){let o=r(e);o&&(null!=o.left&&(t=Math.max(t,o.left)),null!=o.right&&(n=Math.max(n,o.right)),null!=o.top&&(i=Math.max(i,o.top)),null!=o.bottom&&(s=Math.max(s,o.bottom)))}return{left:t,right:n,top:i,bottom:s}}const vt=i.sj.define();class xt{constructor(e,t,n,i){this.fromA=e,this.toA=t,this.fromB=n,this.toB=i}join(e){return new xt(Math.min(this.fromA,e.fromA),Math.max(this.toA,e.toA),Math.min(this.fromB,e.fromB),Math.max(this.toB,e.toB))}addToSet(e){let t=e.length,n=this;for(;t>0;t--){let i=e[t-1];if(!(i.fromA>n.toA)){if(i.toAh)break;s+=2}if(!a)return n;new xt(a.fromA,a.toA,a.fromB,a.toB).addToSet(n),r=a.toA,o=a.toB}}}class wt{constructor(e,t,n){this.view=e,this.state=t,this.transactions=n,this.flags=0,this.startState=e.state,this.changes=i.VR.empty(this.startState.doc.length);for(let e of n)this.changes=this.changes.compose(e.changes);let s=[];this.changes.iterChangedRanges(((e,t,n,i)=>s.push(new xt(e,t,n,i)))),this.changedRanges=s}static create(e,t,n){return new wt(e,t,n)}get viewportChanged(){return(4&this.flags)>0}get heightChanged(){return(2&this.flags)>0}get geometryChanged(){return this.docChanged||(10&this.flags)>0}get focusChanged(){return(1&this.flags)>0}get docChanged(){return!this.changes.empty}get selectionSet(){return this.transactions.some((e=>e.selection))}get empty(){return 0==this.flags&&0==this.transactions.length}}class kt extends j{get length(){return this.view.state.doc.length}constructor(e){super(),this.view=e,this.decorations=[],this.dynamicDecorationMap=[!1],this.domChanged=null,this.hasComposition=null,this.markedForComposition=new Set,this.editContextFormatting=fe.none,this.lastCompositionAfterCursor=!1,this.minWidth=0,this.minWidthFrom=0,this.minWidthTo=0,this.impreciseAnchor=null,this.impreciseHead=null,this.forceSelection=!1,this.lastUpdate=Date.now(),this.setDOM(e.contentDOM),this.children=[new ye],this.children[0].setParent(this),this.updateDeco(),this.updateInner([new xt(0,0,0,e.state.doc.length)],0,null)}update(e){var t;let n=e.changedRanges;this.minWidth>0&&n.length&&(n.every((({fromA:e,toA:t})=>tthis.minWidthTo))?(this.minWidthFrom=e.changes.mapPos(this.minWidthFrom,1),this.minWidthTo=e.changes.mapPos(this.minWidthTo,1)):this.minWidth=this.minWidthFrom=this.minWidthTo=0),this.updateEditContextFormatting(e);let s=-1;this.view.inputState.composing>=0&&!this.view.observer.editContext&&((null===(t=this.domChanged)||void 0===t?void 0:t.newSel)?s=this.domChanged.newSel.head:function(e,t){let n=!1;return t&&e.iterChangedRanges(((e,i)=>{et.from&&(n=!0)})),n}(e.changes,this.hasComposition)||e.selectionSet||(s=e.state.selection.main.head));let r=s>-1?function(e,t,n){let i=St(e,n);if(!i)return null;let{node:s,from:r,to:o}=i,a=s.nodeValue;if(/[\n\r]/.test(a))return null;if(e.state.doc.sliceString(i.from,i.to)!=a)return null;let l=t.invertedDesc,h=new xt(l.mapPos(r),l.mapPos(o),r,o),c=[];for(let t=s.parentNode;;t=t.parentNode){let n=j.get(t);if(n instanceof Z)c.push({node:t,deco:n.mark});else{if(n instanceof ye||"DIV"==t.nodeName&&t.parentNode==e.contentDOM)return{range:h,text:s,marks:c,line:t};if(t==e.contentDOM)return null;c.push({node:t,deco:new de({inclusive:!0,attributes:he(t),tagName:t.tagName.toLowerCase()})})}}}(this.view,e.changes,s):null;if(this.domChanged=null,this.hasComposition){this.markedForComposition.clear();let{from:t,to:i}=this.hasComposition;n=new xt(t,i,e.changes.mapPos(t,-1),e.changes.mapPos(i,1)).addToSet(n.slice())}this.hasComposition=r?{from:r.range.fromB,to:r.range.toB}:null,(X.ie||X.chrome)&&!r&&e&&e.state.doc.lines!=e.startState.doc.lines&&(this.forceSelection=!0);let o=function(e,t,n){let s=new Ct;return i.om.compare(e,t,n,s),s.changes}(this.decorations,this.updateDeco(),e.changes);return n=xt.extendWithRanges(n,o),!!(7&this.flags||0!=n.length)&&(this.updateInner(n,e.startState.doc.length,r),e.transactions.length&&(this.lastUpdate=Date.now()),!0)}updateInner(e,t,n){this.view.viewState.mustMeasureContent=!0,this.updateChildren(e,t,n);let{observer:i}=this.view;i.ignore((()=>{this.dom.style.height=this.view.viewState.contentHeight/this.view.scaleY+"px",this.dom.style.flexBasis=this.minWidth?this.minWidth+"px":"";let e=X.chrome||X.ios?{node:i.selectionRange.focusNode,written:!1}:void 0;this.sync(this.view,e),this.flags&=-8,e&&(e.written||i.selectionRange.focusNode!=e.node)&&(this.forceSelection=!0),this.dom.style.height=""})),this.markedForComposition.forEach((e=>e.flags&=-9));let s=[];if(this.view.viewport.from||this.view.viewport.to=0?i[e]:null;if(!t)break;let r,o,a,l,{fromA:h,toA:c,fromB:u,toB:f}=t;if(n&&n.range.fromBu){let e=we.build(this.view.state.doc,u,n.range.fromB,this.decorations,this.dynamicDecorationMap),t=we.build(this.view.state.doc,n.range.toB,f,this.decorations,this.dynamicDecorationMap);o=e.breakAtStart,a=e.openStart,l=t.openEnd;let i=this.compositionView(n);t.breakAtStart?i.breakAfter=1:t.content.length&&i.merge(i.length,i.length,t.content[0],!1,t.openStart,0)&&(i.breakAfter=t.content[0].breakAfter,t.content.shift()),e.content.length&&i.merge(0,0,e.content[e.content.length-1],!0,0,e.openEnd)&&e.content.pop(),r=e.content.concat(i).concat(t.content)}else({content:r,breakAtStart:o,openStart:a,openEnd:l}=we.build(this.view.state.doc,u,f,this.decorations,this.dynamicDecorationMap));let{i:d,off:p}=s.findPos(c,1),{i:m,off:g}=s.findPos(h,-1);I(this,m,g,d,p,r,o,a,l)}n&&this.fixCompositionDOM(n)}updateEditContextFormatting(e){this.editContextFormatting=this.editContextFormatting.map(e.changes);for(let t of e.transactions)for(let e of t.effects)e.is(it)&&(this.editContextFormatting=e.value)}compositionView(e){let t=new Q(e.text.nodeValue);t.flags|=8;for(let{deco:n}of e.marks)t=new Z(n,[t],t.length);let n=new ye;return n.append(t,0),n}fixCompositionDOM(e){let t=(e,t)=>{t.flags|=8|(t.children.some((e=>7&e.flags))?1:0),this.markedForComposition.add(t);let n=j.get(e);n&&n!=t&&(n.dom=null),t.setDOM(e)},n=this.childPos(e.range.fromB,1),i=this.children[n.i];t(e.line,i);for(let s=e.marks.length-1;s>=-1;s--)n=i.childPos(n.off,1),i=i.children[n.i],t(s>=0?e.marks[s].node:e.text,i)}updateSelection(e=!1,t=!1){!e&&this.view.observer.selectionRange.focusNode||this.view.observer.readSelectionRange();let n=this.view.root.activeElement,i=n==this.dom,s=!i&&d(this.dom,this.view.observer.selectionRange)&&!(n&&this.dom.contains(n));if(!(i||t||s))return;let r=this.forceSelection;this.forceSelection=!1;let o=this.view.state.selection.main,a=this.moveToLine(this.domAtPos(o.anchor)),l=o.empty?a:this.moveToLine(this.domAtPos(o.head));if(X.gecko&&o.empty&&!this.hasComposition&&1==(h=a).node.nodeType&&h.node.firstChild&&(0==h.offset||"false"==h.node.childNodes[h.offset-1].contentEditable)&&(h.offset==h.node.childNodes.length||"false"==h.node.childNodes[h.offset].contentEditable)){let e=document.createTextNode("");this.view.observer.ignore((()=>a.node.insertBefore(e,a.node.childNodes[a.offset]||null))),a=l=new P(e,0),r=!0}var h;let c=this.view.observer.selectionRange;!r&&c.focusNode&&(m(a.node,a.offset,c.anchorNode,c.anchorOffset)&&m(l.node,l.offset,c.focusNode,c.focusOffset)||this.suppressWidgetCursorChange(c,o))||(this.view.observer.ignore((()=>{X.android&&X.chrome&&this.dom.contains(c.focusNode)&&function(e,t){for(let n=e;n&&n!=t;n=n.assignedSlot||n.parentNode)if(1==n.nodeType&&"false"==n.contentEditable)return!0;return!1}(c.focusNode,this.dom)&&(this.dom.blur(),this.dom.focus({preventScroll:!0}));let e=u(this.view.root);if(e)if(o.empty){if(X.gecko){let e=(t=a.node,i=a.offset,1!=t.nodeType?0:(i&&"false"==t.childNodes[i-1].contentEditable?1:0)|(io.head&&([a,l]=[l,a]),t.setEnd(l.node,l.offset),t.setStart(a.node,a.offset),e.removeAllRanges(),e.addRange(t)}var t,i;s&&this.view.root.activeElement==this.dom&&(this.dom.blur(),n&&n.focus())})),this.view.observer.setSelectionRange(a,l)),this.impreciseAnchor=a.precise?null:new P(c.anchorNode,c.anchorOffset),this.impreciseHead=l.precise?null:new P(c.focusNode,c.focusOffset)}suppressWidgetCursorChange(e,t){return 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P(t.node,t.offset,!0):e}nearest(e){for(let t=e;t;){let e=j.get(t);if(e&&e.rootView==this)return e;t=t.parentNode}return null}posFromDOM(e,t){let n=this.nearest(e);if(!n)throw new RangeError("Trying to find position for a DOM position outside of the document");return n.localPosFromDOM(e,t)+n.posAtStart}domAtPos(e){let{i:t,off:n}=this.childCursor().findPos(e,-1);for(;t=0;r--){let o=this.children[r],a=s-o.breakAfter,l=a-o.length;if(ae||o.covers(1))&&(!n||o instanceof ye&&!(n instanceof ye&&t>=0)))n=o,i=l;else if(n&&l==e&&a==e&&o instanceof ve&&Math.abs(t)<2){if(o.deco.startSide<0)break;r&&(n=null)}s=l}return n?n.coordsAt(e-i,t):null}coordsForChar(e){let{i:t,off:n}=this.childPos(e,1),s=this.children[t];if(!(s instanceof ye))return null;for(;s.children.length;){let{i:e,off:t}=s.childPos(n,1);for(;;e++){if(e==s.children.length)return null;if((s=s.children[e]).length)break}n=t}if(!(s instanceof Q))return null;let r=(0,i.zK)(s.text,n);if(r==n)return null;let o=M(s.dom,n,r).getClientRects();for(let e=0;eMath.max(this.view.scrollDOM.clientWidth,this.minWidth)+1,o=-1,a=this.view.textDirection==Ce.LTR;for(let e=0,l=0;li)break;if(e>=n){let n=h.dom.getBoundingClientRect();if(t.push(n.height),r){let t=h.dom.lastChild,i=t?p(t):[];if(i.length){let t=i[i.length-1],r=a?t.right-n.left:n.right-t.left;r>o&&(o=r,this.minWidth=s,this.minWidthFrom=e,this.minWidthTo=c)}}}e=c+h.breakAfter}return t}textDirectionAt(e){let{i:t}=this.childPos(e,1);return"rtl"==getComputedStyle(this.children[t].dom).direction?Ce.RTL:Ce.LTR}measureTextSize(){for(let e of this.children)if(e instanceof ye){let t=e.measureTextSize();if(t)return t}let e,t,n,i=document.createElement("div");return i.className="cm-line",i.style.width="99999px",i.style.position="absolute",i.textContent="abc def ghi jkl mno pqr stu",this.view.observer.ignore((()=>{this.dom.appendChild(i);let s=p(i.firstChild)[0];e=i.getBoundingClientRect().height,t=s?s.width/27:7,n=s?s.height:e,i.remove()})),{lineHeight:e,charWidth:t,textHeight:n}}childCursor(e=this.length){let t=this.children.length;return t&&(e-=this.children[--t].length),new B(this.children,e,t)}computeBlockGapDeco(){let e=[],t=this.view.viewState;for(let n=0,i=0;;i++){let s=i==t.viewports.length?null:t.viewports[i],r=s?s.from-1:this.length;if(r>n){let i=(t.lineBlockAt(r).bottom-t.lineBlockAt(n).top)/this.view.scaleY;e.push(fe.replace({widget:new xe(i),block:!0,inclusive:!0,isBlockGap:!0}).range(n,r))}if(!s)break;n=s.to+1}return fe.set(e)}updateDeco(){let e=1,t=this.view.state.facet(ft).map((t=>(this.dynamicDecorationMap[e++]="function"==typeof t)?t(this.view):t)),n=!1,s=this.view.state.facet(dt).map(((e,t)=>{let i="function"==typeof e;return i&&(n=!0),i?e(this.view):e}));for(s.length&&(this.dynamicDecorationMap[e++]=n,t.push(i.om.join(s))),this.decorations=[this.editContextFormatting,...t,this.computeBlockGapDeco(),this.view.viewState.lineGapDeco];en.anchor?-1:1);if(!i)return;!n.empty&&(t=this.coordsAt(n.anchor,n.anchor>n.head?-1:1))&&(i={left:Math.min(i.left,t.left),top:Math.min(i.top,t.top),right:Math.max(i.right,t.right),bottom:Math.max(i.bottom,t.bottom)});let s=yt(this.view),r={left:i.left-s.left,top:i.top-s.top,right:i.right+s.right,bottom:i.bottom+s.bottom},{offsetWidth:o,offsetHeight:a}=this.view.scrollDOM;!function(e,t,n,i,s,r,o,a){let l=e.ownerDocument,h=l.defaultView||window;for(let c=e,u=!1;c&&!u;)if(1==c.nodeType){let e,f=c==l.body,d=1,p=1;if(f)e=w(h);else{if(/^(fixed|sticky)$/.test(getComputedStyle(c).position)&&(u=!0),c.scrollHeight<=c.clientHeight&&c.scrollWidth<=c.clientWidth){c=c.assignedSlot||c.parentNode;continue}let t=c.getBoundingClientRect();({scaleX:d,scaleY:p}=k(c,t)),e={left:t.left,right:t.left+c.clientWidth*d,top:t.top,bottom:t.top+c.clientHeight*p}}let m=0,g=0;if("nearest"==s)t.top0&&t.bottom>e.bottom+g&&(g=t.bottom-e.bottom+g+o)):t.bottom>e.bottom&&(g=t.bottom-e.bottom+o,n<0&&t.top-g0&&t.right>e.right+m&&(m=t.right-e.right+m+r)):t.right>e.right&&(m=t.right-e.right+r,n<0&&t.lefte?t.left-e:Math.max(0,e-t.right)}function Ot(e,t){return t.top>e?t.top-e:Math.max(0,e-t.bottom)}function Mt(e,t){return e.topt.top+1}function _t(e,t){return te.bottom?{top:e.top,left:e.left,right:e.right,bottom:t}:e}function Et(e,t,n){let i,s,r,o,a,l,h,c,u=!1;for(let f=e.firstChild;f;f=f.nextSibling){let e=p(f);for(let d=0;dg||o==g&&r>m){i=f,s=p,r=m,o=g;let a=g?n0?d0)}0==m?n>p.bottom&&(!h||h.bottomp.top)&&(l=f,c=p):h&&Mt(h,p)?h=Tt(h,p.bottom):c&&Mt(c,p)&&(c=_t(c,p.top))}}if(h&&h.bottom>=n?(i=a,s=h):c&&c.top<=n&&(i=l,s=c),!i)return{node:e,offset:0};let f=Math.max(s.left,Math.min(s.right,t));return 3==i.nodeType?Nt(i,f,n):u&&"false"!=i.contentEditable?Et(i,f,n):{node:e,offset:Array.prototype.indexOf.call(e.childNodes,i)+(t>=(s.left+s.right)/2?1:0)}}function Nt(e,t,n){let i=e.nodeValue.length,s=-1,r=1e9,o=0;for(let a=0;an?h.top-n:n-h.bottom)-1;if(h.left-1<=t&&h.right+1>=t&&c=(h.left+h.right)/2,i=n;if((X.chrome||X.gecko)&&M(e,a).getBoundingClientRect().left==h.right&&(i=!n),c<=0)return{node:e,offset:a+(i?1:0)};s=a+(i?1:0),r=c}}}return{node:e,offset:s>-1?s:o>0?e.nodeValue.length:0}}function Dt(e,t,n,i=-1){var s,r;let o,a=e.contentDOM.getBoundingClientRect(),l=a.top+e.viewState.paddingTop,{docHeight:h}=e.viewState,{x:c,y:u}=t,f=u-l;if(f<0)return 0;if(f>h)return e.state.doc.length;for(let t=e.viewState.heightOracle.textHeight/2,s=!1;o=e.elementAtHeight(f),o.type!=ue.Text;)for(;f=i>0?o.bottom+t:o.top-t,!(f>=0&&f<=h);){if(s)return n?null:0;s=!0,i=-i}u=l+f;let d=o.from;if(de.viewport.to)return e.viewport.to==e.state.doc.length?e.state.doc.length:n?null:Pt(e,a,o,c,u);let p=e.dom.ownerDocument,m=e.root.elementFromPoint?e.root:p,g=m.elementFromPoint(c,u);g&&!e.contentDOM.contains(g)&&(g=null),g||(c=Math.max(a.left+1,Math.min(a.right-1,c)),g=m.elementFromPoint(c,u),g&&!e.contentDOM.contains(g)&&(g=null));let b,y=-1;if(g&&0!=(null===(s=e.docView.nearest(g))||void 0===s?void 0:s.isEditable))if(p.caretPositionFromPoint){let e=p.caretPositionFromPoint(c,u);e&&({offsetNode:b,offset:y}=e)}else if(p.caretRangeFromPoint){let t=p.caretRangeFromPoint(c,u);t&&(({startContainer:b,startOffset:y}=t),(!e.contentDOM.contains(b)||X.safari&&function(e,t,n){let i;if(3!=e.nodeType||t!=(i=e.nodeValue.length))return!1;for(let t=e.nextSibling;t;t=t.nextSibling)if(1!=t.nodeType||"BR"!=t.nodeName)return!1;return M(e,i-1,i).getBoundingClientRect().left>n}(b,y,c)||X.chrome&&function(e,t,n){if(0!=t)return!1;for(let t=e;;){let e=t.parentNode;if(!e||1!=e.nodeType||e.firstChild!=t)return!1;if(e.classList.contains("cm-line"))break;t=e}return n-(1==e.nodeType?e.getBoundingClientRect():M(e,0,Math.max(e.nodeValue.length,1)).getBoundingClientRect()).left>5}(b,y,c))&&(b=void 0))}if(!b||!e.docView.dom.contains(b)){let t=ye.find(e.docView,d);if(!t)return f>o.top+o.height/2?o.to:o.from;({node:b,offset:y}=Et(t.dom,c,u))}let v=e.docView.nearest(b);if(!v)return null;if(v.isWidget&&1==(null===(r=v.dom)||void 0===r?void 0:r.nodeType)){let e=v.dom.getBoundingClientRect();return t.y1.5*e.defaultLineHeight){let t=e.viewState.heightOracle.textHeight;o+=Math.floor((r-n.top-.5*(e.defaultLineHeight-t))/t)*e.viewState.heightOracle.lineLength}let a=e.state.sliceDoc(n.from,n.to);return n.from+(0,i.kn)(a,o,e.state.tabSize)}function Rt(e,t){let n=e.lineBlockAt(t);if(Array.isArray(n.type))for(let e of n.type)if(e.to>t||e.to==t&&(e.to==n.to||e.type==ue.Text))return e;return n}function jt(e,t,n,i){let s=e.state.doc.lineAt(t.head),r=e.bidiSpans(s),o=e.textDirectionAt(s.from);for(let a=t,l=null;;){let 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t=j.get(e),n=t&&t.overrideDOMText;if(null!=n){this.findPointInside(e,n.length);for(let e=n.iter();!e.next().done;)e.lineBreak?this.lineBreak():this.append(e.value)}else 3==e.nodeType?this.readTextNode(e):"BR"==e.nodeName?e.nextSibling&&this.lineBreak():1==e.nodeType&&this.readRange(e.firstChild,null)}findPointBefore(e,t){for(let n of this.points)n.node==e&&e.childNodes[n.offset]==t&&(n.pos=this.text.length)}findPointInside(e,t){for(let n of this.points)(3==e.nodeType?n.node==e:e.contains(n.node))&&(n.pos=this.text.length+($t(e,n.node,n.offset)?t:0))}}function $t(e,t,n){for(;;){if(!t||n-1;let{impreciseHead:r,impreciseAnchor:o}=e.docView;if(e.state.readOnly&&t>-1)this.newSel=null;else if(t>-1&&(this.bounds=e.docView.domBoundsAround(t,n,0))){let t=r||o?[]:function(e){let t=[];if(e.root.activeElement!=e.contentDOM)return t;let{anchorNode:n,anchorOffset:i,focusNode:s,focusOffset:r}=e.observer.selectionRange;return n&&(t.push(new zt(n,i)),s==n&&r==i||t.push(new zt(s,r))),t}(e),n=new 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t=e.observer.selectionRange,n=r&&r.node==t.focusNode&&r.offset==t.focusOffset||!f(e.contentDOM,t.focusNode)?e.state.selection.main.head:e.docView.posFromDOM(t.focusNode,t.focusOffset),s=o&&o.node==t.anchorNode&&o.offset==t.anchorOffset||!f(e.contentDOM,t.anchorNode)?e.state.selection.main.anchor:e.docView.posFromDOM(t.anchorNode,t.anchorOffset),a=e.viewport;if((X.ios||X.chrome)&&e.state.selection.main.empty&&n!=s&&(a.from>0||a.toDate.now()-100?e.inputState.lastKeyCode:-1;if(t.bounds){let{from:s,to:a}=t.bounds,l=r.from,h=null;(8===o||X.android&&t.text.length0&&a>0&&e.charCodeAt(o-1)==t.charCodeAt(a-1);)o--,a--;return"end"==i&&(n-=o+Math.max(0,r-Math.min(o,a))-r),o=o?r-n:0,a=r+(a-o),o=r):a=a?r-n:0,o=r+(o-a),a=r),{from:r,toA:o,toB:a}}(e.state.doc.sliceString(s,a,It),t.text,l-s,h);c&&(X.chrome&&13==o&&c.toB==c.from+2&&t.text.slice(c.from,c.toB)==It+It&&c.toB--,n={from:s+c.from,to:s+c.toA,insert:i.EY.of(t.text.slice(c.from,c.toB).split(It))})}else s&&(!e.hasFocus&&e.state.facet(rt)||s.main.eq(r))&&(s=null);if(!n&&!s)return!1;if(!n&&t.typeOver&&!r.empty&&s&&s.main.empty?n={from:r.from,to:r.to,insert:e.state.doc.slice(r.from,r.to)}:n&&n.from>=r.from&&n.to<=r.to&&(n.from!=r.from||n.to!=r.to)&&r.to-r.from-(n.to-n.from)<=4?n={from:r.from,to:r.to,insert:e.state.doc.slice(r.from,n.from).append(n.insert).append(e.state.doc.slice(n.to,r.to))}:(X.mac||X.android)&&n&&n.from==n.to&&n.from==r.head-1&&/^\. ?$/.test(n.insert.toString())&&"off"==e.contentDOM.getAttribute("autocorrect")?(s&&2==n.insert.length&&(s=i.OF.single(s.main.anchor-1,s.main.head-1)),n={from:r.from,to:r.to,insert:i.EY.of([" "])}):X.chrome&&n&&n.from==n.to&&n.from==r.head&&"\n "==n.insert.toString()&&e.lineWrapping&&(s&&(s=i.OF.single(s.main.anchor-1,s.main.head-1)),n={from:r.from,to:r.to,insert:i.EY.of([" "])}),n)return Vt(e,n,s,o);if(s&&!s.main.eq(r)){let t=!1,n="select";return e.inputState.lastSelectionTime>Date.now()-50&&("select"==e.inputState.lastSelectionOrigin&&(t=!0),n=e.inputState.lastSelectionOrigin),e.dispatch({selection:s,scrollIntoView:t,userEvent:n}),!0}return!1}function Vt(e,t,n,s=-1){if(X.ios&&e.inputState.flushIOSKey(t))return!0;let r=e.state.selection.main;if(X.android&&(t.to==r.to&&(t.from==r.from||t.from==r.from-1&&" "==e.state.sliceDoc(t.from,r.from))&&1==t.insert.length&&2==t.insert.lines&&_(e.contentDOM,"Enter",13)||(t.from==r.from-1&&t.to==r.to&&0==t.insert.length||8==s&&t.insert.lengthr.head)&&_(e.contentDOM,"Backspace",8)||t.from==r.from&&t.to==r.to+1&&0==t.insert.length&&_(e.contentDOM,"Delete",46)))return!0;let o,a=t.insert.toString();e.inputState.composing>=0&&e.inputState.composing++;let l=()=>o||(o=function(e,t,n){let s,r=e.state,o=r.selection.main;if(t.from>=o.from&&t.to<=o.to&&t.to-t.from>=(o.to-o.from)/3&&(!n||n.main.empty&&n.main.from==t.from+t.insert.length)&&e.inputState.composing<0){let n=o.fromt.to?r.sliceDoc(t.to,o.to):"";s=r.replaceSelection(e.state.toText(n+t.insert.sliceString(0,void 0,e.state.lineBreak)+i))}else{let a=r.changes(t),l=n&&n.main.to<=a.newLength?n.main:void 0;if(r.selection.ranges.length>1&&e.inputState.composing>=0&&t.to<=o.to&&t.to>=o.to-10){let h,c=e.state.sliceDoc(t.from,t.to),u=n&&St(e,n.main.head);if(u){let e=t.insert.length-(t.to-t.from);h={from:u.from,to:u.to-e}}else h=e.state.doc.lineAt(o.head);let f=o.to-t.to,d=o.to-o.from;s=r.changeByRange((n=>{if(n.from==o.from&&n.to==o.to)return{changes:a,range:l||n.map(a)};let s=n.to-f,u=s-c.length;if(n.to-n.from!=d||e.state.sliceDoc(u,s)!=c||n.to>=h.from&&n.from<=h.to)return{range:n};let p=r.changes({from:u,to:s,insert:t.insert}),m=n.to-o.to;return{changes:p,range:l?i.OF.range(Math.max(0,l.anchor+m),Math.max(0,l.head+m)):n.map(p)}}))}else s={changes:a,selection:l&&r.selection.replaceRange(l)}}let a="input.type";return(e.composing||e.inputState.compositionPendingChange&&e.inputState.compositionEndedAt>Date.now()-50)&&(e.inputState.compositionPendingChange=!1,a+=".compose",e.inputState.compositionFirstChange&&(a+=".start",e.inputState.compositionFirstChange=!1)),r.update(s,{userEvent:a,scrollIntoView:!0})}(e,t,n));return e.state.facet(Ke).some((n=>n(e,t.from,t.to,a,l)))||e.dispatch(l()),!0}class Wt{setSelectionOrigin(e){this.lastSelectionOrigin=e,this.lastSelectionTime=Date.now()}constructor(e){this.view=e,this.lastKeyCode=0,this.lastKeyTime=0,this.lastTouchTime=0,this.lastFocusTime=0,this.lastScrollTop=0,this.lastScrollLeft=0,this.pendingIOSKey=void 0,this.tabFocusMode=-1,this.lastSelectionOrigin=null,this.lastSelectionTime=0,this.lastContextMenu=0,this.scrollHandlers=[],this.handlers=Object.create(null),this.composing=-1,this.compositionFirstChange=null,this.compositionEndedAt=0,this.compositionPendingKey=!1,this.compositionPendingChange=!1,this.mouseSelection=null,this.draggedContent=null,this.handleEvent=this.handleEvent.bind(this),this.notifiedFocused=e.hasFocus,X.safari&&e.contentDOM.addEventListener("input",(()=>null)),X.gecko&&function(e){vn.has(e)||(vn.add(e),e.addEventListener("copy",(()=>{})),e.addEventListener("cut",(()=>{})))}(e.contentDOM.ownerDocument)}handleEvent(e){(function(e,t){if(!t.bubbles)return!0;if(t.defaultPrevented)return!1;for(let n,i=t.target;i!=e.contentDOM;i=i.parentNode)if(!i||11==i.nodeType||(n=j.get(i))&&n.ignoreEvent(t))return!1;return!0})(this.view,e)&&!this.ignoreDuringComposition(e)&&("keydown"==e.type&&this.keydown(e)||this.runHandlers(e.type,e))}runHandlers(e,t){let n=this.handlers[e];if(n){for(let e of n.observers)e(this.view,t);for(let e of n.handlers){if(t.defaultPrevented)break;if(e(this.view,t)){t.preventDefault();break}}}}ensureHandlers(e){let t=Ut(e),n=this.handlers,i=this.view.contentDOM;for(let e in t)if("scroll"!=e){let s=!t[e].handlers.length,r=n[e];r&&s!=!r.handlers.length&&(i.removeEventListener(e,this.handleEvent),r=null),r||i.addEventListener(e,this.handleEvent,{passive:s})}for(let e in n)"scroll"==e||t[e]||i.removeEventListener(e,this.handleEvent);this.handlers=t}keydown(e){if(this.lastKeyCode=e.keyCode,this.lastKeyTime=Date.now(),9==e.keyCode&&this.tabFocusMode>-1&&(!this.tabFocusMode||Date.now()<=this.tabFocusMode))return!0;if(this.tabFocusMode>0&&27!=e.keyCode&&Yt.indexOf(e.keyCode)<0&&(this.tabFocusMode=-1),X.android&&X.chrome&&!e.synthetic&&(13==e.keyCode||8==e.keyCode))return this.view.observer.delayAndroidKey(e.key,e.keyCode),!0;let t;return!X.ios||e.synthetic||e.altKey||e.metaKey||!((t=Kt.find((t=>t.keyCode==e.keyCode)))&&!e.ctrlKey||Jt.indexOf(e.key)>-1&&e.ctrlKey&&!e.shiftKey)?(229!=e.keyCode&&this.view.observer.forceFlush(),!1):(this.pendingIOSKey=t||e,setTimeout((()=>this.flushIOSKey()),250),!0)}flushIOSKey(e){let t=this.pendingIOSKey;return!!t&&!("Enter"==t.key&&e&&e.from0||!!(X.safari&&!X.ios&&this.compositionPendingKey&&Date.now()-this.compositionEndedAt<100)&&(this.compositionPendingKey=!1,!0))}startMouseSelection(e){this.mouseSelection&&this.mouseSelection.destroy(),this.mouseSelection=e}update(e){this.view.observer.update(e),this.mouseSelection&&this.mouseSelection.update(e),this.draggedContent&&e.docChanged&&(this.draggedContent=this.draggedContent.map(e.changes)),e.transactions.length&&(this.lastKeyCode=this.lastSelectionTime=0)}destroy(){this.mouseSelection&&this.mouseSelection.destroy()}}function Gt(e,t){return(n,i)=>{try{return t.call(e,i,n)}catch(e){st(n.state,e)}}}function Ut(e){let t=Object.create(null);function n(e){return t[e]||(t[e]={observers:[],handlers:[]})}for(let t of e){let e=t.spec;if(e&&e.domEventHandlers)for(let i in e.domEventHandlers){let s=e.domEventHandlers[i];s&&n(i).handlers.push(Gt(t.value,s))}if(e&&e.domEventObservers)for(let i in e.domEventObservers){let s=e.domEventObservers[i];s&&n(i).observers.push(Gt(t.value,s))}}for(let e in Zt)n(e).handlers.push(Zt[e]);for(let e in en)n(e).observers.push(en[e]);return t}const Kt=[{key:"Backspace",keyCode:8,inputType:"deleteContentBackward"},{key:"Enter",keyCode:13,inputType:"insertParagraph"},{key:"Enter",keyCode:13,inputType:"insertLineBreak"},{key:"Delete",keyCode:46,inputType:"deleteContentForward"}],Jt="dthko",Yt=[16,17,18,20,91,92,224,225];function Xt(e){return.7*Math.max(0,e)+8}class Qt{constructor(e,t,n,s){this.view=e,this.startEvent=t,this.style=n,this.mustSelect=s,this.scrollSpeed={x:0,y:0},this.scrolling=-1,this.lastEvent=t,this.scrollParents=function(e){let t,n,i=e.ownerDocument;for(let s=e.parentNode;s&&!(s==i.body||t&&n);)if(1==s.nodeType)!n&&s.scrollHeight>s.clientHeight&&(n=s),!t&&s.scrollWidth>s.clientWidth&&(t=s),s=s.assignedSlot||s.parentNode;else{if(11!=s.nodeType)break;s=s.host}return{x:t,y:n}}(e.contentDOM),this.atoms=e.state.facet(pt).map((t=>t(e)));let r=e.contentDOM.ownerDocument;r.addEventListener("mousemove",this.move=this.move.bind(this)),r.addEventListener("mouseup",this.up=this.up.bind(this)),this.extend=t.shiftKey,this.multiple=e.state.facet(i.$t.allowMultipleSelections)&&function(e,t){let n=e.state.facet(qe);return n.length?n[0](t):X.mac?t.metaKey:t.ctrlKey}(e,t),this.dragging=!(!function(e,t){let{main:n}=e.state.selection;if(n.empty)return!1;let i=u(e.root);if(!i||0==i.rangeCount)return!0;let s=i.getRangeAt(0).getClientRects();for(let e=0;e=t.clientX&&n.top<=t.clientY&&n.bottom>=t.clientY)return!0}return!1}(e,t)||1!=dn(t))&&null}start(e){!1===this.dragging&&this.select(e)}move(e){if(0==e.buttons)return this.destroy();if(this.dragging||null==this.dragging&&(t=this.startEvent,n=e,Math.max(Math.abs(t.clientX-n.clientX),Math.abs(t.clientY-n.clientY))<10))return;var t,n;this.select(this.lastEvent=e);let i=0,s=0,r=0,o=0,a=this.view.win.innerWidth,l=this.view.win.innerHeight;this.scrollParents.x&&({left:r,right:a}=this.scrollParents.x.getBoundingClientRect()),this.scrollParents.y&&({top:o,bottom:l}=this.scrollParents.y.getBoundingClientRect());let h=yt(this.view);e.clientX-h.left<=r+6?i=-Xt(r-e.clientX):e.clientX+h.right>=a-6&&(i=Xt(e.clientX-a)),e.clientY-h.top<=o+6?s=-Xt(o-e.clientY):e.clientY+h.bottom>=l-6&&(s=Xt(e.clientY-l)),this.setScrollSpeed(i,s)}up(e){null==this.dragging&&this.select(this.lastEvent),this.dragging||e.preventDefault(),this.destroy()}destroy(){this.setScrollSpeed(0,0);let e=this.view.contentDOM.ownerDocument;e.removeEventListener("mousemove",this.move),e.removeEventListener("mouseup",this.up),this.view.inputState.mouseSelection=this.view.inputState.draggedContent=null}setScrollSpeed(e,t){this.scrollSpeed={x:e,y:t},e||t?this.scrolling<0&&(this.scrolling=setInterval((()=>this.scroll()),50)):this.scrolling>-1&&(clearInterval(this.scrolling),this.scrolling=-1)}scroll(){let{x:e,y:t}=this.scrollSpeed;e&&this.scrollParents.x&&(this.scrollParents.x.scrollLeft+=e,e=0),t&&this.scrollParents.y&&(this.scrollParents.y.scrollTop+=t,t=0),(e||t)&&this.view.win.scrollBy(e,t),!1===this.dragging&&this.select(this.lastEvent)}skipAtoms(e){let t=null;for(let n=0;ne.isUserEvent("input.type")))?this.destroy():this.style.update(e)&&setTimeout((()=>this.select(this.lastEvent)),20)}}const Zt=Object.create(null),en=Object.create(null),tn=X.ie&&X.ie_version<15||X.ios&&X.webkit_version<604;function nn(e,t,n){for(let i of e.facet(t))n=i(n,e);return n}function sn(e,t){t=nn(e.state,Ye,t);let n,{state:s}=e,r=1,o=s.toText(t),a=o.lines==s.selection.ranges.length;if(null!=mn&&s.selection.ranges.every((e=>e.empty))&&mn==o.toString()){let e=-1;n=s.changeByRange((n=>{let l=s.doc.lineAt(n.from);if(l.from==e)return{range:n};e=l.from;let h=s.toText((a?o.line(r++).text:t)+s.lineBreak);return{changes:{from:l.from,insert:h},range:i.OF.cursor(n.from+h.length)}}))}else n=a?s.changeByRange((e=>{let t=o.line(r++);return{changes:{from:e.from,to:e.to,insert:t.text},range:i.OF.cursor(e.from+t.length)}})):s.replaceSelection(o);e.dispatch(n,{userEvent:"input.paste",scrollIntoView:!0})}function rn(e,t,n,s){if(1==s)return i.OF.cursor(t,n);if(2==s)return function(e,t,n=1){let s=e.charCategorizer(t),r=e.doc.lineAt(t),o=t-r.from;if(0==r.length)return i.OF.cursor(t);0==o?n=1:o==r.length&&(n=-1);let a=o,l=o;n<0?a=(0,i.zK)(r.text,o,!1):l=(0,i.zK)(r.text,o);let h=s(r.text.slice(a,l));for(;a>0;){let e=(0,i.zK)(r.text,a,!1);if(s(r.text.slice(e,a))!=h)break;a=e}for(;l{e.inputState.lastScrollTop=e.scrollDOM.scrollTop,e.inputState.lastScrollLeft=e.scrollDOM.scrollLeft},Zt.keydown=(e,t)=>(e.inputState.setSelectionOrigin("select"),27==t.keyCode&&0!=e.inputState.tabFocusMode&&(e.inputState.tabFocusMode=Date.now()+2e3),!1),en.touchstart=(e,t)=>{e.inputState.lastTouchTime=Date.now(),e.inputState.setSelectionOrigin("select.pointer")},en.touchmove=e=>{e.inputState.setSelectionOrigin("select.pointer")},Zt.mousedown=(e,t)=>{if(e.observer.flush(),e.inputState.lastTouchTime>Date.now()-2e3)return!1;let n=null;for(let i of e.state.facet(We))if(n=i(e,t),n)break;if(n||0!=t.button||(n=function(e,t){let n=ln(e,t),s=dn(t),r=e.state.selection;return{update(e){e.docChanged&&(n.pos=e.changes.mapPos(n.pos),r=r.map(e.changes))},get(t,o,a){let l,h=ln(e,t),c=rn(e,h.pos,h.bias,s);if(n.pos!=h.pos&&!o){let t=rn(e,n.pos,n.bias,s),r=Math.min(t.from,c.from),o=Math.max(t.to,c.to);c=r1&&(l=function(e,t){for(let n=0;n=t)return i.OF.create(e.ranges.slice(0,n).concat(e.ranges.slice(n+1)),e.mainIndex==n?0:e.mainIndex-(e.mainIndex>n?1:0))}return null}(r,h.pos))?l:a?r.addRange(c):i.OF.create([c])}}}(e,t)),n){let i=!e.hasFocus;e.inputState.startMouseSelection(new Qt(e,t,n,i)),i&&e.observer.ignore((()=>{O(e.contentDOM);let t=e.root.activeElement;t&&!t.contains(e.contentDOM)&&t.blur()}));let s=e.inputState.mouseSelection;if(s)return s.start(t),!1===s.dragging}return!1};let on=(e,t,n)=>t>=n.top&&t<=n.bottom&&e>=n.left&&e<=n.right;function an(e,t,n,i){let s=ye.find(e.docView,t);if(!s)return 1;let r=t-s.posAtStart;if(0==r)return 1;if(r==s.length)return-1;let o=s.coordsAt(r,-1);if(o&&on(n,i,o))return-1;let a=s.coordsAt(r,1);return a&&on(n,i,a)?1:o&&o.bottom>=i?-1:1}function ln(e,t){let n=e.posAtCoords({x:t.clientX,y:t.clientY},!1);return{pos:n,bias:an(e,n,t.clientX,t.clientY)}}const hn=X.ie&&X.ie_version<=11;let cn=null,un=0,fn=0;function dn(e){if(!hn)return e.detail;let t=cn,n=fn;return cn=e,fn=Date.now(),un=!t||n>Date.now()-400&&Math.abs(t.clientX-e.clientX)<2&&Math.abs(t.clientY-e.clientY)<2?(un+1)%3:1}function pn(e,t,n,i){if(!(n=nn(e.state,Ye,n)))return;let s=e.posAtCoords({x:t.clientX,y:t.clientY},!1),{draggedContent:r}=e.inputState,o=i&&r&&function(e,t){let n=e.state.facet(Ve);return n.length?n[0](t):X.mac?!t.altKey:!t.ctrlKey}(e,t)?{from:r.from,to:r.to}:null,a={from:s,insert:n},l=e.state.changes(o?[o,a]:a);e.focus(),e.dispatch({changes:l,selection:{anchor:l.mapPos(s,-1),head:l.mapPos(s,1)},userEvent:o?"move.drop":"input.drop"}),e.inputState.draggedContent=null}Zt.dragstart=(e,t)=>{let{selection:{main:n}}=e.state;if(t.target.draggable){let s=e.docView.nearest(t.target);if(s&&s.isWidget){let e=s.posAtStart,t=e+s.length;(e>=n.to||t<=n.from)&&(n=i.OF.range(e,t))}}let{inputState:s}=e;return s.mouseSelection&&(s.mouseSelection.dragging=!0),s.draggedContent=n,t.dataTransfer&&(t.dataTransfer.setData("Text",nn(e.state,Xe,e.state.sliceDoc(n.from,n.to))),t.dataTransfer.effectAllowed="copyMove"),!1},Zt.dragend=e=>(e.inputState.draggedContent=null,!1),Zt.drop=(e,t)=>{if(!t.dataTransfer)return!1;if(e.state.readOnly)return!0;let n=t.dataTransfer.files;if(n&&n.length){let i=Array(n.length),s=0,r=()=>{++s==n.length&&pn(e,t,i.filter((e=>null!=e)).join(e.state.lineBreak),!1)};for(let e=0;e{/[\x00-\x08\x0e-\x1f]{2}/.test(t.result)||(i[e]=t.result),r()},t.readAsText(n[e])}return!0}{let n=t.dataTransfer.getData("Text");if(n)return pn(e,t,n,!0),!0}return!1},Zt.paste=(e,t)=>{if(e.state.readOnly)return!0;e.observer.flush();let n=tn?null:t.clipboardData;return n?(sn(e,n.getData("text/plain")||n.getData("text/uri-list")),!0):(function(e){let t=e.dom.parentNode;if(!t)return;let n=t.appendChild(document.createElement("textarea"));n.style.cssText="position: fixed; left: -10000px; top: 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10px",i.value=t,i.focus(),i.selectionEnd=t.length,i.selectionStart=0,setTimeout((()=>{i.remove(),e.focus()}),50)}(e,n),!1)};const gn=i.YH.define();function bn(e,t){let n=[];for(let i of e.facet(Je)){let s=i(e,t);s&&n.push(s)}return n?e.update({effects:n,annotations:gn.of(!0)}):null}function yn(e){setTimeout((()=>{let t=e.hasFocus;if(t!=e.inputState.notifiedFocused){let n=bn(e.state,t);n?e.dispatch(n):e.update([])}}),10)}en.focus=e=>{e.inputState.lastFocusTime=Date.now(),e.scrollDOM.scrollTop||!e.inputState.lastScrollTop&&!e.inputState.lastScrollLeft||(e.scrollDOM.scrollTop=e.inputState.lastScrollTop,e.scrollDOM.scrollLeft=e.inputState.lastScrollLeft),yn(e)},en.blur=e=>{e.observer.clearSelectionRange(),yn(e)},en.compositionstart=en.compositionupdate=e=>{e.observer.editContext||(null==e.inputState.compositionFirstChange&&(e.inputState.compositionFirstChange=!0),e.inputState.composing<0&&(e.inputState.composing=0))},en.compositionend=e=>{e.observer.editContext||(e.inputState.composing=-1,e.inputState.compositionEndedAt=Date.now(),e.inputState.compositionPendingKey=!0,e.inputState.compositionPendingChange=e.observer.pendingRecords().length>0,e.inputState.compositionFirstChange=null,X.chrome&&X.android?e.observer.flushSoon():e.inputState.compositionPendingChange?Promise.resolve().then((()=>e.observer.flush())):setTimeout((()=>{e.inputState.composing<0&&e.docView.hasComposition&&e.update([])}),50))},en.contextmenu=e=>{e.inputState.lastContextMenu=Date.now()},Zt.beforeinput=(e,t)=>{var n,i;if("insertReplacementText"==t.inputType&&e.observer.editContext){let i=null===(n=t.dataTransfer)||void 0===n?void 0:n.getData("text/plain"),s=t.getTargetRanges();if(i&&s.length){let t=s[0],n=e.posAtDOM(t.startContainer,t.startOffset),r=e.posAtDOM(t.endContainer,t.endOffset);return Vt(e,{from:n,to:r,insert:e.state.toText(i)},null),!0}}let s;if(X.chrome&&X.android&&(s=Kt.find((e=>e.inputType==t.inputType)))&&(e.observer.delayAndroidKey(s.key,s.keyCode),"Backspace"==s.key||"Delete"==s.key)){let t=(null===(i=window.visualViewport)||void 0===i?void 0:i.height)||0;setTimeout((()=>{var n;((null===(n=window.visualViewport)||void 0===n?void 0:n.height)||0)>t+10&&e.hasFocus&&(e.contentDOM.blur(),e.focus())}),100)}return X.ios&&"deleteContentForward"==t.inputType&&e.observer.flushSoon(),X.safari&&"insertText"==t.inputType&&e.inputState.composing>=0&&setTimeout((()=>en.compositionend(e,t)),20),!1};const vn=new Set,xn=["pre-wrap","normal","pre-line","break-spaces"];let wn=!1;function kn(){wn=!1}class Sn{constructor(e){this.lineWrapping=e,this.doc=i.EY.empty,this.heightSamples={},this.lineHeight=14,this.charWidth=7,this.textHeight=14,this.lineLength=30}heightForGap(e,t){let n=this.doc.lineAt(t).number-this.doc.lineAt(e).number+1;return this.lineWrapping&&(n+=Math.max(0,Math.ceil((t-e-n*this.lineLength*.5)/this.lineLength))),this.lineHeight*n}heightForLine(e){return this.lineWrapping?(1+Math.max(0,Math.ceil((e-this.lineLength)/(this.lineLength-5))))*this.lineHeight:this.lineHeight}setDoc(e){return this.doc=e,this}mustRefreshForWrapping(e){return xn.indexOf(e)>-1!=this.lineWrapping}mustRefreshForHeights(e){let t=!1;for(let n=0;n-1,a=Math.round(t)!=Math.round(this.lineHeight)||this.lineWrapping!=o;if(this.lineWrapping=o,this.lineHeight=t,this.charWidth=n,this.textHeight=i,this.lineLength=s,a){this.heightSamples={};for(let e=0;e0}set outdated(e){this.flags=(e?2:0)|-3&this.flags}setHeight(e){this.height!=e&&(Math.abs(this.height-e)>Mn&&(wn=!0),this.height=e)}replace(e,t,n){return _n.of(n)}decomposeLeft(e,t){t.push(this)}decomposeRight(e,t){t.push(this)}applyChanges(e,t,n,i){let s=this,r=n.doc;for(let o=i.length-1;o>=0;o--){let{fromA:a,toA:l,fromB:h,toB:c}=i[o],u=s.lineAt(a,On.ByPosNoHeight,n.setDoc(t),0,0),f=u.to>=l?u:s.lineAt(l,On.ByPosNoHeight,n,0,0);for(c+=f.to-l,l=f.to;o>0&&u.from<=i[o-1].toA;)a=i[o-1].fromA,h=i[o-1].fromB,o--,a2*s){let s=e[t-1];s.break?e.splice(--t,1,s.left,null,s.right):e.splice(--t,1,s.left,s.right),n+=1+s.break,i-=s.size}else{if(!(s>2*i))break;{let t=e[n];t.break?e.splice(n,1,t.left,null,t.right):e.splice(n,1,t.left,t.right),n+=2+t.break,s-=t.size}}else if(i=s&&r(this.blockAt(0,n,i,s))}updateHeight(e,t=0,n=!1,i){return i&&i.from<=t&&i.more&&this.setHeight(i.heights[i.index++]),this.outdated=!1,this}toString(){return`block(${this.length})`}}class Nn extends En{constructor(e,t){super(e,t,null),this.collapsed=0,this.widgetHeight=0,this.breaks=0}blockAt(e,t,n,i){return new An(i,this.length,n,this.height,this.breaks)}replace(e,t,n){let i=n[0];return 1==n.length&&(i instanceof Nn||i instanceof Dn&&4&i.flags)&&Math.abs(this.length-i.length)<10?(i instanceof Dn?i=new Nn(i.length,this.height):i.height=this.height,this.outdated||(i.outdated=!1),i):_n.of(n)}updateHeight(e,t=0,n=!1,i){return i&&i.from<=t&&i.more?this.setHeight(i.heights[i.index++]):(n||this.outdated)&&this.setHeight(Math.max(this.widgetHeight,e.heightForLine(this.length-this.collapsed))+this.breaks*e.lineHeight),this.outdated=!1,this}toString(){return`line(${this.length}${this.collapsed?-this.collapsed:""}${this.widgetHeight?":"+this.widgetHeight:""})`}}class Dn extends _n{constructor(e){super(e,0)}heightMetrics(e,t){let n,i=e.doc.lineAt(t).number,s=e.doc.lineAt(t+this.length).number,r=s-i+1,o=0;if(e.lineWrapping){let t=Math.min(this.height,e.lineHeight*r);n=t/r,this.length>r+1&&(o=(this.height-t)/(this.length-r-1))}else n=this.height/r;return{firstLine:i,lastLine:s,perLine:n,perChar:o}}blockAt(e,t,n,i){let{firstLine:s,lastLine:r,perLine:o,perChar:a}=this.heightMetrics(t,i);if(t.lineWrapping){let s=i+(e0){let e=n[n.length-1];e instanceof Dn?n[n.length-1]=new Dn(e.length+i):n.push(null,new Dn(i-1))}if(e>0){let t=n[0];t instanceof Dn?n[0]=new Dn(e+t.length):n.unshift(new Dn(e-1),null)}return _n.of(n)}decomposeLeft(e,t){t.push(new Dn(e-1),null)}decomposeRight(e,t){t.push(null,new Dn(this.length-e-1))}updateHeight(e,t=0,n=!1,i){let s=t+this.length;if(i&&i.from<=t+this.length&&i.more){let n=[],r=Math.max(t,i.from),o=-1;for(i.from>t&&n.push(new Dn(i.from-t-1).updateHeight(e,t));r<=s&&i.more;){let t=e.doc.lineAt(r).length;n.length&&n.push(null);let s=i.heights[i.index++];-1==o?o=s:Math.abs(s-o)>=Mn&&(o=-2);let a=new Nn(t,s);a.outdated=!1,n.push(a),r+=t+1}r<=s&&n.push(null,new Dn(s-r).updateHeight(e,r));let a=_n.of(n);return(o<0||Math.abs(a.height-this.height)>=Mn||Math.abs(o-this.heightMetrics(e,t).perLine)>=Mn)&&(wn=!0),Tn(this,a)}return(n||this.outdated)&&(this.setHeight(e.heightForGap(t,t+this.length)),this.outdated=!1),this}toString(){return`gap(${this.length})`}}class Pn extends _n{constructor(e,t,n){super(e.length+t+n.length,e.height+n.height,t|(e.outdated||n.outdated?2:0)),this.left=e,this.right=n,this.size=e.size+n.size}get break(){return 1&this.flags}blockAt(e,t,n,i){let s=n+this.left.height;return eo))return l;let h=t==On.ByPosNoHeight?On.ByPosNoHeight:On.ByPos;return a?l.join(this.right.lineAt(o,h,n,r,o)):this.left.lineAt(o,h,n,i,s).join(l)}forEachLine(e,t,n,i,s,r){let o=i+this.left.height,a=s+this.left.length+this.break;if(this.break)e=a&&this.right.forEachLine(e,t,n,o,a,r);else{let l=this.lineAt(a,On.ByPos,n,i,s);e=e&&l.from<=t&&r(l),t>l.to&&this.right.forEachLine(l.to+1,t,n,o,a,r)}}replace(e,t,n){let i=this.left.length+this.break;if(tthis.left.length)return this.balanced(this.left,this.right.replace(e-i,t-i,n));let s=[];e>0&&this.decomposeLeft(e,s);let r=s.length;for(let e of n)s.push(e);if(e>0&&Rn(s,r-1),t=n&&t.push(null)),e>n&&this.right.decomposeLeft(e-n,t)}decomposeRight(e,t){let n=this.left.length,i=n+this.break;if(e>=i)return this.right.decomposeRight(e-i,t);e2*t.size||t.size>2*e.size?_n.of(this.break?[e,null,t]:[e,t]):(this.left=Tn(this.left,e),this.right=Tn(this.right,t),this.setHeight(e.height+t.height),this.outdated=e.outdated||t.outdated,this.size=e.size+t.size,this.length=e.length+this.break+t.length,this)}updateHeight(e,t=0,n=!1,i){let{left:s,right:r}=this,o=t+s.length+this.break,a=null;return i&&i.from<=t+s.length&&i.more?a=s=s.updateHeight(e,t,n,i):s.updateHeight(e,t,n),i&&i.from<=o+r.length&&i.more?a=r=r.updateHeight(e,o,n,i):r.updateHeight(e,o,n),a?this.balanced(s,r):(this.height=this.left.height+this.right.height,this.outdated=!1,this)}toString(){return this.left+(this.break?" ":"-")+this.right}}function Rn(e,t){let n,i;null==e[t]&&(n=e[t-1])instanceof Dn&&(i=e[t+1])instanceof Dn&&e.splice(t-1,3,new Dn(n.length+1+i.length))}class jn{constructor(e,t){this.pos=e,this.oracle=t,this.nodes=[],this.lineStart=-1,this.lineEnd=-1,this.covering=null,this.writtenTo=e}get isCovered(){return this.covering&&this.nodes[this.nodes.length-1]==this.covering}span(e,t){if(this.lineStart>-1){let e=Math.min(t,this.lineEnd),n=this.nodes[this.nodes.length-1];n instanceof Nn?n.length+=e-this.pos:(e>this.pos||!this.isCovered)&&this.nodes.push(new Nn(e-this.pos,-1)),this.writtenTo=e,t>e&&(this.nodes.push(null),this.writtenTo++,this.lineStart=-1)}this.pos=t}point(e,t,n){if(e=5)&&this.addLineDeco(i,s,r)}else t>e&&this.span(e,t);this.lineEnd>-1&&this.lineEnd-1)return;let{from:e,to:t}=this.oracle.doc.lineAt(this.pos);this.lineStart=e,this.lineEnd=t,this.writtenToe&&this.nodes.push(new Nn(this.pos-e,-1)),this.writtenTo=this.pos}blankContent(e,t){let n=new Dn(t-e);return this.oracle.doc.lineAt(e).to==t&&(n.flags|=4),n}ensureLine(){this.enterLine();let e=this.nodes.length?this.nodes[this.nodes.length-1]:null;if(e instanceof Nn)return e;let t=new Nn(0,-1);return this.nodes.push(t),t}addBlock(e){this.enterLine();let t=e.deco;t&&t.startSide>0&&!this.isCovered&&this.ensureLine(),this.nodes.push(e),this.writtenTo=this.pos=this.pos+e.length,t&&t.endSide>0&&(this.covering=e)}addLineDeco(e,t,n){let i=this.ensureLine();i.length+=n,i.collapsed+=n,i.widgetHeight=Math.max(i.widgetHeight,e),i.breaks+=t,this.writtenTo=this.pos=this.pos+n}finish(e){let t=0==this.nodes.length?null:this.nodes[this.nodes.length-1];!(this.lineStart>-1)||t instanceof Nn||this.isCovered?(this.writtenTon.clientHeight||n.scrollWidth>n.clientWidth)&&"visible"!=i.overflow){let i=n.getBoundingClientRect();r=Math.max(r,i.left),o=Math.min(o,i.right),a=Math.max(a,i.top),l=Math.min(t==e.parentNode?s.innerHeight:l,i.bottom)}t="absolute"==i.position||"fixed"==i.position?n.offsetParent:n.parentNode}else{if(11!=t.nodeType)break;t=t.host}return{left:r-n.left,right:Math.max(r,o)-n.left,top:a-(n.top+t),bottom:Math.max(a,l)-(n.top+t)}}function In(e,t){let n=e.getBoundingClientRect();return{left:0,right:n.right-n.left,top:t,bottom:n.bottom-(n.top+t)}}class Fn{constructor(e,t,n){this.from=e,this.to=t,this.size=n}static same(e,t){if(e.length!=t.length)return!1;for(let n=0;n"function"!=typeof e&&"cm-lineWrapping"==e.class));this.heightOracle=new Sn(t),this.stateDeco=e.facet(ft).filter((e=>"function"!=typeof e)),this.heightMap=_n.empty().applyChanges(this.stateDeco,i.EY.empty,this.heightOracle.setDoc(e.doc),[new xt(0,0,0,e.doc.length)]);for(let e=0;e<2&&(this.viewport=this.getViewport(0,null),this.updateForViewport());e++);this.updateViewportLines(),this.lineGaps=this.ensureLineGaps([]),this.lineGapDeco=fe.set(this.lineGaps.map((e=>e.draw(this,!1)))),this.computeVisibleRanges()}updateForViewport(){let e=[this.viewport],{main:t}=this.state.selection;for(let n=0;n<=1;n++){let i=n?t.head:t.anchor;if(!e.some((({from:e,to:t})=>i>=e&&i<=t))){let{from:t,to:n}=this.lineBlockAt(i);e.push(new Hn(t,n))}}return this.viewports=e.sort(((e,t)=>e.from-t.from)),this.updateScaler()}updateScaler(){let e=this.scaler;return this.scaler=this.heightMap.height<=7e6?Wn:new Gn(this.heightOracle,this.heightMap,this.viewports),e.eq(this.scaler)?0:2}updateViewportLines(){this.viewportLines=[],this.heightMap.forEachLine(this.viewport.from,this.viewport.to,this.heightOracle.setDoc(this.state.doc),0,0,(e=>{this.viewportLines.push(Un(e,this.scaler))}))}update(e,t=null){this.state=e.state;let n=this.stateDeco;this.stateDeco=this.state.facet(ft).filter((e=>"function"!=typeof e));let s=e.changedRanges,r=xt.extendWithRanges(s,function(e,t,n){let s=new Ln;return i.om.compare(e,t,n,s,0),s.changes}(n,this.stateDeco,e?e.changes:i.VR.empty(this.state.doc.length))),o=this.heightMap.height,a=this.scrolledToBottom?null:this.scrollAnchorAt(this.scrollTop);kn(),this.heightMap=this.heightMap.applyChanges(this.stateDeco,e.startState.doc,this.heightOracle.setDoc(this.state.doc),r),(this.heightMap.height!=o||wn)&&(e.flags|=2),a?(this.scrollAnchorPos=e.changes.mapPos(a.from,-1),this.scrollAnchorHeight=a.top):(this.scrollAnchorPos=-1,this.scrollAnchorHeight=this.heightMap.height);let l=r.length?this.mapViewport(this.viewport,e.changes):this.viewport;(t&&(t.range.headl.to)||!this.viewportIsAppropriate(l))&&(l=this.getViewport(0,t));let h=l.from!=this.viewport.from||l.to!=this.viewport.to;this.viewport=l,e.flags|=this.updateForViewport(),(h||!e.changes.empty||2&e.flags)&&this.updateViewportLines(),(this.lineGaps.length||this.viewport.to-this.viewport.from>4e3)&&this.updateLineGaps(this.ensureLineGaps(this.mapLineGaps(this.lineGaps,e.changes))),e.flags|=this.computeVisibleRanges(),t&&(this.scrollTarget=t),!this.mustEnforceCursorAssoc&&e.selectionSet&&e.view.lineWrapping&&e.state.selection.main.empty&&e.state.selection.main.assoc&&!e.state.facet(Ze)&&(this.mustEnforceCursorAssoc=!0)}measure(e){let t=e.contentDOM,n=window.getComputedStyle(t),s=this.heightOracle,r=n.whiteSpace;this.defaultTextDirection="rtl"==n.direction?Ce.RTL:Ce.LTR;let o=this.heightOracle.mustRefreshForWrapping(r),a=t.getBoundingClientRect(),l=o||this.mustMeasureContent||this.contentDOMHeight!=a.height;this.contentDOMHeight=a.height,this.mustMeasureContent=!1;let h=0,c=0;if(a.width&&a.height){let{scaleX:e,scaleY:n}=k(t,a);(e>.005&&Math.abs(this.scaleX-e)>.005||n>.005&&Math.abs(this.scaleY-n)>.005)&&(this.scaleX=e,this.scaleY=n,h|=8,o=l=!0)}let u=(parseInt(n.paddingTop)||0)*this.scaleY,f=(parseInt(n.paddingBottom)||0)*this.scaleY;this.paddingTop==u&&this.paddingBottom==f||(this.paddingTop=u,this.paddingBottom=f,h|=10),this.editorWidth!=e.scrollDOM.clientWidth&&(s.lineWrapping&&(l=!0),this.editorWidth=e.scrollDOM.clientWidth,h|=8);let d=e.scrollDOM.scrollTop*this.scaleY;this.scrollTop!=d&&(this.scrollAnchorHeight=-1,this.scrollTop=d),this.scrolledToBottom=E(e.scrollDOM);let p=(this.printing?In:Bn)(t,this.paddingTop),m=p.top-this.pixelViewport.top,g=p.bottom-this.pixelViewport.bottom;this.pixelViewport=p;let b=this.pixelViewport.bottom>this.pixelViewport.top&&this.pixelViewport.right>this.pixelViewport.left;if(b!=this.inView&&(this.inView=b,b&&(l=!0)),!this.inView&&!this.scrollTarget)return 0;let y=a.width;if(this.contentDOMWidth==y&&this.editorHeight==e.scrollDOM.clientHeight||(this.contentDOMWidth=a.width,this.editorHeight=e.scrollDOM.clientHeight,h|=8),l){let t=e.docView.measureVisibleLineHeights(this.viewport);if(s.mustRefreshForHeights(t)&&(o=!0),o||s.lineWrapping&&Math.abs(y-this.contentDOMWidth)>s.charWidth){let{lineHeight:n,charWidth:i,textHeight:a}=e.docView.measureTextSize();o=n>0&&s.refresh(r,n,i,a,y/i,t),o&&(e.docView.minWidth=0,h|=8)}m>0&&g>0?c=Math.max(m,g):m<0&&g<0&&(c=Math.min(m,g)),kn();for(let n of this.viewports){let r=n.from==this.viewport.from?t:e.docView.measureVisibleLineHeights(n);this.heightMap=(o?_n.empty().applyChanges(this.stateDeco,i.EY.empty,this.heightOracle,[new xt(0,0,0,e.state.doc.length)]):this.heightMap).updateHeight(s,0,o,new Cn(n.from,r))}wn&&(h|=2)}let v=!this.viewportIsAppropriate(this.viewport,c)||this.scrollTarget&&(this.scrollTarget.range.headthis.viewport.to);return v&&(2&h&&(h|=this.updateScaler()),this.viewport=this.getViewport(c,this.scrollTarget),h|=this.updateForViewport()),(2&h||v)&&this.updateViewportLines(),(this.lineGaps.length||this.viewport.to-this.viewport.from>4e3)&&this.updateLineGaps(this.ensureLineGaps(o?[]:this.lineGaps,e)),h|=this.computeVisibleRanges(),this.mustEnforceCursorAssoc&&(this.mustEnforceCursorAssoc=!1,e.docView.enforceCursorAssoc()),h}get visibleTop(){return this.scaler.fromDOM(this.pixelViewport.top)}get visibleBottom(){return this.scaler.fromDOM(this.pixelViewport.bottom)}getViewport(e,t){let n=.5-Math.max(-.5,Math.min(.5,e/1e3/2)),i=this.heightMap,s=this.heightOracle,{visibleTop:r,visibleBottom:o}=this,a=new Hn(i.lineAt(r-1e3*n,On.ByHeight,s,0,0).from,i.lineAt(o+1e3*(1-n),On.ByHeight,s,0,0).to);if(t){let{head:e}=t.range;if(ea.to){let n,r=Math.min(this.editorHeight,this.pixelViewport.bottom-this.pixelViewport.top),o=i.lineAt(e,On.ByPos,s,0,0);n="center"==t.y?(o.top+o.bottom)/2-r/2:"start"==t.y||"nearest"==t.y&&e=o+Math.max(10,Math.min(n,250)))&&i>r-2e3&&s>1,o=s<<1;if(this.defaultTextDirection!=Ce.LTR&&!n)return[];let a=[],l=(s,o,h,c)=>{if(o-ss&&ee.from>=h.from&&e.to<=h.to&&Math.abs(e.from-s)e.fromt))));if(!d){if(oe.from<=o&&e.to>=o))){let e=t.moveToLineBoundary(i.OF.cursor(o),!1,!0).head;e>s&&(o=e)}d=new Fn(s,o,this.gapSize(h,s,o,c))}a.push(d)},h=e=>{if(e.lengthr&&(s.push({from:r,to:e}),o+=e-r),r=t}},20),re.from&&l(e.from,r,e,t),ae.draw(this,this.heightOracle.lineWrapping)))))}computeVisibleRanges(){let e=this.stateDeco;this.lineGaps.length&&(e=e.concat(this.lineGapDeco));let t=[];i.om.spans(e,this.viewport.from,this.viewport.to,{span(e,n){t.push({from:e,to:n})},point(){}},20);let n=t.length!=this.visibleRanges.length||this.visibleRanges.some(((e,n)=>e.from!=t[n].from||e.to!=t[n].to));return this.visibleRanges=t,n?4:0}lineBlockAt(e){return e>=this.viewport.from&&e<=this.viewport.to&&this.viewportLines.find((t=>t.from<=e&&t.to>=e))||Un(this.heightMap.lineAt(e,On.ByPos,this.heightOracle,0,0),this.scaler)}lineBlockAtHeight(e){return e>=this.viewportLines[0].top&&e<=this.viewportLines[this.viewportLines.length-1].bottom&&this.viewportLines.find((t=>t.top<=e&&t.bottom>=e))||Un(this.heightMap.lineAt(this.scaler.fromDOM(e),On.ByHeight,this.heightOracle,0,0),this.scaler)}scrollAnchorAt(e){let t=this.lineBlockAtHeight(e+8);return t.from>=this.viewport.from||this.viewportLines[0].top-e>200?t:this.viewportLines[0]}elementAtHeight(e){return Un(this.heightMap.blockAt(this.scaler.fromDOM(e),this.heightOracle,0,0),this.scaler)}get docHeight(){return this.scaler.toDOM(this.heightMap.height)}get contentHeight(){return this.docHeight+this.paddingTop+this.paddingBottom}}class Hn{constructor(e,t){this.from=e,this.to=t}}function qn({total:e,ranges:t},n){if(n<=0)return t[0].from;if(n>=1)return t[t.length-1].to;let i=Math.floor(e*n);for(let e=0;;e++){let{from:n,to:s}=t[e],r=s-n;if(i<=r)return n+i;i-=r}}function Vn(e,t){let n=0;for(let{from:i,to:s}of e.ranges){if(t<=s){n+=t-i;break}n+=s-i}return n/e.total}const Wn={toDOM:e=>e,fromDOM:e=>e,scale:1,eq(e){return e==this}};class Gn{constructor(e,t,n){let i=0,s=0,r=0;this.viewports=n.map((({from:n,to:s})=>{let r=t.lineAt(n,On.ByPos,e,0,0).top,o=t.lineAt(s,On.ByPos,e,0,0).bottom;return i+=o-r,{from:n,to:s,top:r,bottom:o,domTop:0,domBottom:0}})),this.scale=(7e6-i)/(t.height-i);for(let e of this.viewports)e.domTop=r+(e.top-s)*this.scale,r=e.domBottom=e.domTop+(e.bottom-e.top),s=e.bottom}toDOM(e){for(let t=0,n=0,i=0;;t++){let s=tt.from==e.viewports[n].from&&t.to==e.viewports[n].to))}}function Un(e,t){if(1==t.scale)return e;let n=t.toDOM(e.top),i=t.toDOM(e.bottom);return new An(e.from,e.length,n,i-n,Array.isArray(e._content)?e._content.map((e=>Un(e,t))):e._content)}const Kn=i.sj.define({combine:e=>e.join(" 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cm-blink2":{"0%":{},"50%":{opacity:0},"100%":{}},".cm-cursor, .cm-dropCursor":{borderLeft:"1.2px solid black",marginLeft:"-0.6px",pointerEvents:"none"},".cm-cursor":{display:"none"},"&dark .cm-cursor":{borderLeftColor:"#444"},".cm-dropCursor":{position:"absolute"},"&.cm-focused > .cm-scroller > .cm-cursorLayer .cm-cursor":{display:"block"},".cm-iso":{unicodeBidi:"isolate"},".cm-announced":{position:"fixed",top:"-10000px"},"@media print":{".cm-announced":{display:"none"}},"&light .cm-activeLine":{backgroundColor:"#cceeff44"},"&dark .cm-activeLine":{backgroundColor:"#99eeff33"},"&light .cm-specialChar":{color:"red"},"&dark .cm-specialChar":{color:"#f78"},".cm-gutters":{flexShrink:0,display:"flex",height:"100%",boxSizing:"border-box",insetInlineStart:0,zIndex:200},"&light .cm-gutters":{backgroundColor:"#f5f5f5",color:"#6c6c6c",borderRight:"1px solid #ddd"},"&dark .cm-gutters":{backgroundColor:"#333338",color:"#ccc"},".cm-gutter":{display:"flex 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.cm-panels":{backgroundColor:"#333338",color:"white"},".cm-tab":{display:"inline-block",overflow:"hidden",verticalAlign:"bottom"},".cm-widgetBuffer":{verticalAlign:"text-top",height:"1em",width:0,display:"inline"},".cm-placeholder":{color:"#888",display:"inline-block",verticalAlign:"top"},".cm-highlightSpace:before":{content:"attr(data-display)",position:"absolute",pointerEvents:"none",color:"#888"},".cm-highlightTab":{backgroundImage:'url(\'data:image/svg+xml,\')',backgroundSize:"auto 100%",backgroundPosition:"right 90%",backgroundRepeat:"no-repeat"},".cm-trailingSpace":{backgroundColor:"#ff332255"},".cm-button":{verticalAlign:"middle",color:"inherit",fontSize:"70%",padding:".2em 1em",borderRadius:"1px"},"&light .cm-button":{backgroundImage:"linear-gradient(#eff1f5, #d9d9df)",border:"1px solid #888","&:active":{backgroundImage:"linear-gradient(#b4b4b4, #d0d3d6)"}},"&dark .cm-button":{backgroundImage:"linear-gradient(#393939, #111)",border:"1px solid #888","&:active":{backgroundImage:"linear-gradient(#111, #333)"}},".cm-textfield":{verticalAlign:"middle",color:"inherit",fontSize:"70%",border:"1px solid silver",padding:".2em .5em"},"&light .cm-textfield":{backgroundColor:"white"},"&dark .cm-textfield":{border:"1px solid #555",backgroundColor:"inherit"}},Zn),ni={childList:!0,characterData:!0,subtree:!0,attributes:!0,characterDataOldValue:!0},ii=X.ie&&X.ie_version<=11;class si{constructor(e){this.view=e,this.active=!1,this.editContext=null,this.selectionRange=new S,this.selectionChanged=!1,this.delayedFlush=-1,this.resizeTimeout=-1,this.queue=[],this.delayedAndroidKey=null,this.flushingAndroidKey=-1,this.lastChange=0,this.scrollTargets=[],this.intersection=null,this.resizeScroll=null,this.intersecting=!1,this.gapIntersection=null,this.gaps=[],this.printQuery=null,this.parentCheck=-1,this.dom=e.contentDOM,this.observer=new MutationObserver((t=>{for(let e of t)this.queue.push(e);(X.ie&&X.ie_version<=11||X.ios&&e.composing)&&t.some((e=>"childList"==e.type&&e.removedNodes.length||"characterData"==e.type&&e.oldValue.length>e.target.nodeValue.length))?this.flushSoon():this.flush()})),!window.EditContext||!1===e.constructor.EDIT_CONTEXT||X.chrome&&X.chrome_version<126||(this.editContext=new ai(e),e.state.facet(rt)&&(e.contentDOM.editContext=this.editContext.editContext)),ii&&(this.onCharData=e=>{this.queue.push({target:e.target,type:"characterData",oldValue:e.prevValue}),this.flushSoon()}),this.onSelectionChange=this.onSelectionChange.bind(this),this.onResize=this.onResize.bind(this),this.onPrint=this.onPrint.bind(this),this.onScroll=this.onScroll.bind(this),window.matchMedia&&(this.printQuery=window.matchMedia("print")),"function"==typeof ResizeObserver&&(this.resizeScroll=new ResizeObserver((()=>{var e;(null===(e=this.view.docView)||void 0===e?void 0:e.lastUpdate){this.parentCheck<0&&(this.parentCheck=setTimeout(this.listenForScroll.bind(this),1e3)),e.length>0&&e[e.length-1].intersectionRatio>0!=this.intersecting&&(this.intersecting=!this.intersecting,this.intersecting!=this.view.inView&&this.onScrollChanged(document.createEvent("Event")))}),{threshold:[0,.001]}),this.intersection.observe(this.dom),this.gapIntersection=new IntersectionObserver((e=>{e.length>0&&e[e.length-1].intersectionRatio>0&&this.onScrollChanged(document.createEvent("Event"))}),{})),this.listenForScroll(),this.readSelectionRange()}onScrollChanged(e){this.view.inputState.runHandlers("scroll",e),this.intersecting&&this.view.measure()}onScroll(e){this.intersecting&&this.flush(!1),this.editContext&&this.view.requestMeasure(this.editContext.measureReq),this.onScrollChanged(e)}onResize(){this.resizeTimeout<0&&(this.resizeTimeout=setTimeout((()=>{this.resizeTimeout=-1,this.view.requestMeasure()}),50))}onPrint(e){("change"!=e.type&&e.type||e.matches)&&(this.view.viewState.printing=!0,this.view.measure(),setTimeout((()=>{this.view.viewState.printing=!1,this.view.requestMeasure()}),500))}updateGaps(e){if(this.gapIntersection&&(e.length!=this.gaps.length||this.gaps.some(((t,n)=>t!=e[n])))){this.gapIntersection.disconnect();for(let t of e)this.gapIntersection.observe(t);this.gaps=e}}onSelectionChange(e){let t=this.selectionChanged;if(!this.readSelectionRange()||this.delayedAndroidKey)return;let{view:n}=this,i=this.selectionRange;if(n.state.facet(rt)?n.root.activeElement!=this.dom:!d(n.dom,i))return;let s=i.anchorNode&&n.docView.nearest(i.anchorNode);s&&s.ignoreEvent(e)?t||(this.selectionChanged=!1):(X.ie&&X.ie_version<=11||X.android&&X.chrome)&&!n.state.selection.main.empty&&i.focusNode&&m(i.focusNode,i.focusOffset,i.anchorNode,i.anchorOffset)?this.flushSoon():this.flush(!1)}readSelectionRange(){let{view:e}=this,t=u(e.root);if(!t)return!1;let n=X.safari&&11==e.root.nodeType&&function(e){let t=e.activeElement;for(;t&&t.shadowRoot;)t=t.shadowRoot.activeElement;return t}(this.dom.ownerDocument)==this.dom&&function(e,t){if(t.getComposedRanges){let n=t.getComposedRanges(e.root)[0];if(n)return oi(e,n)}let n=null;function i(e){e.preventDefault(),e.stopImmediatePropagation(),n=e.getTargetRanges()[0]}return e.contentDOM.addEventListener("beforeinput",i,!0),e.dom.ownerDocument.execCommand("indent"),e.contentDOM.removeEventListener("beforeinput",i,!0),n?oi(e,n):null}(this.view,t)||t;if(!n||this.selectionRange.eq(n))return!1;let i=d(this.dom,n);return i&&!this.selectionChanged&&e.inputState.lastFocusTime>Date.now()-200&&e.inputState.lastTouchTime{let e=this.delayedAndroidKey;e&&(this.clearDelayedAndroidKey(),this.view.inputState.lastKeyCode=e.keyCode,this.view.inputState.lastKeyTime=Date.now(),!this.flush()&&e.force&&_(this.dom,e.key,e.keyCode))};this.flushingAndroidKey=this.view.win.requestAnimationFrame(e)}this.delayedAndroidKey&&"Enter"!=e||(this.delayedAndroidKey={key:e,keyCode:t,force:this.lastChange{this.delayedFlush=-1,this.flush()})))}forceFlush(){this.delayedFlush>=0&&(this.view.win.cancelAnimationFrame(this.delayedFlush),this.delayedFlush=-1),this.flush()}pendingRecords(){for(let e of this.observer.takeRecords())this.queue.push(e);return this.queue}processRecords(){let e=this.pendingRecords();e.length&&(this.queue=[]);let t=-1,n=-1,i=!1;for(let s of e){let e=this.readMutation(s);e&&(e.typeOver&&(i=!0),-1==t?({from:t,to:n}=e):(t=Math.min(e.from,t),n=Math.max(e.to,n)))}return{from:t,to:n,typeOver:i}}readChange(){let{from:e,to:t,typeOver:n}=this.processRecords(),i=this.selectionChanged&&d(this.dom,this.selectionRange);if(e<0&&!i)return null;e>-1&&(this.lastChange=Date.now()),this.view.inputState.lastFocusTime=0,this.selectionChanged=!1;let s=new Ht(this.view,e,t,n);return this.view.docView.domChanged={newSel:s.newSel?s.newSel.main:null},s}flush(e=!0){if(this.delayedFlush>=0||this.delayedAndroidKey)return!1;e&&this.readSelectionRange();let t=this.readChange();if(!t)return this.view.requestMeasure(),!1;let n=this.view.state,i=qt(this.view,t);return this.view.state==n&&(t.domChanged||t.newSel&&!t.newSel.main.eq(this.view.state.selection.main))&&this.view.update([]),i}readMutation(e){let t=this.view.docView.nearest(e.target);if(!t||t.ignoreMutation(e))return null;if(t.markDirty("attributes"==e.type),"attributes"==e.type&&(t.flags|=4),"childList"==e.type){let n=ri(t,e.previousSibling||e.target.previousSibling,-1),i=ri(t,e.nextSibling||e.target.nextSibling,1);return{from:n?t.posAfter(n):t.posAtStart,to:i?t.posBefore(i):t.posAtEnd,typeOver:!1}}return"characterData"==e.type?{from:t.posAtStart,to:t.posAtEnd,typeOver:e.target.nodeValue==e.oldValue}:null}setWindow(e){e!=this.win&&(this.removeWindowListeners(this.win),this.win=e,this.addWindowListeners(this.win))}addWindowListeners(e){e.addEventListener("resize",this.onResize),this.printQuery?this.printQuery.addEventListener?this.printQuery.addEventListener("change",this.onPrint):this.printQuery.addListener(this.onPrint):e.addEventListener("beforeprint",this.onPrint),e.addEventListener("scroll",this.onScroll),e.document.addEventListener("selectionchange",this.onSelectionChange)}removeWindowListeners(e){e.removeEventListener("scroll",this.onScroll),e.removeEventListener("resize",this.onResize),this.printQuery?this.printQuery.removeEventListener?this.printQuery.removeEventListener("change",this.onPrint):this.printQuery.removeListener(this.onPrint):e.removeEventListener("beforeprint",this.onPrint),e.document.removeEventListener("selectionchange",this.onSelectionChange)}update(e){this.editContext&&(this.editContext.update(e),e.startState.facet(rt)!=e.state.facet(rt)&&(e.view.contentDOM.editContext=e.state.facet(rt)?this.editContext.editContext:null))}destroy(){var e,t,n;this.stop(),null===(e=this.intersection)||void 0===e||e.disconnect(),null===(t=this.gapIntersection)||void 0===t||t.disconnect(),null===(n=this.resizeScroll)||void 0===n||n.disconnect();for(let e of this.scrollTargets)e.removeEventListener("scroll",this.onScroll);this.removeWindowListeners(this.win),clearTimeout(this.parentCheck),clearTimeout(this.resizeTimeout),this.win.cancelAnimationFrame(this.delayedFlush),this.win.cancelAnimationFrame(this.flushingAndroidKey),this.editContext&&(this.view.contentDOM.editContext=null,this.editContext.destroy())}}function ri(e,t,n){for(;t;){let i=j.get(t);if(i&&i.parent==e)return i;let s=t.parentNode;t=s!=e.dom?s:n>0?t.nextSibling:t.previousSibling}return null}function oi(e,t){let n=t.startContainer,i=t.startOffset,s=t.endContainer,r=t.endOffset,o=e.docView.domAtPos(e.state.selection.main.anchor);return m(o.node,o.offset,s,r)&&([n,i,s,r]=[s,r,n,i]),{anchorNode:n,anchorOffset:i,focusNode:s,focusOffset:r}}class ai{constructor(e){this.from=0,this.to=0,this.pendingContextChange=null,this.handlers=Object.create(null),this.resetRange(e.state);let t=this.editContext=new window.EditContext({text:e.state.doc.sliceString(this.from,this.to),selectionStart:this.toContextPos(Math.max(this.from,Math.min(this.to,e.state.selection.main.anchor))),selectionEnd:this.toContextPos(e.state.selection.main.head)});this.handlers.textupdate=t=>{let{anchor:n}=e.state.selection.main,s={from:this.toEditorPos(t.updateRangeStart),to:this.toEditorPos(t.updateRangeEnd),insert:i.EY.of(t.text.split("\n"))};s.from==this.from&&nthis.to&&(s.to=n),(s.from!=s.to||s.insert.length)&&(this.pendingContextChange=s,e.state.readOnly||Vt(e,s,i.OF.single(this.toEditorPos(t.selectionStart),this.toEditorPos(t.selectionEnd))),this.pendingContextChange&&(this.revertPending(e.state),this.setSelection(e.state)))},this.handlers.characterboundsupdate=n=>{let i=[],s=null;for(let t=this.toEditorPos(n.rangeStart),r=this.toEditorPos(n.rangeEnd);t{let n=[];for(let e of t.getTextFormats()){let t=e.underlineStyle,i=e.underlineThickness;if("None"!=t&&"None"!=i){let s=`text-decoration: underline ${"Dashed"==t?"dashed ":"Squiggle"==t?"wavy ":""}${"Thin"==i?1:2}px`;n.push(fe.mark({attributes:{style:s}}).range(this.toEditorPos(e.rangeStart),this.toEditorPos(e.rangeEnd)))}}e.dispatch({effects:it.of(fe.set(n))})},this.handlers.compositionstart=()=>{e.inputState.composing<0&&(e.inputState.composing=0,e.inputState.compositionFirstChange=!0)},this.handlers.compositionend=()=>{e.inputState.composing=-1,e.inputState.compositionFirstChange=null};for(let e in this.handlers)t.addEventListener(e,this.handlers[e]);this.measureReq={read:e=>{this.editContext.updateControlBounds(e.contentDOM.getBoundingClientRect());let t=u(e.root);t&&t.rangeCount&&this.editContext.updateSelectionBounds(t.getRangeAt(0).getBoundingClientRect())}}}applyEdits(e){let t=0,n=!1,i=this.pendingContextChange;return e.changes.iterChanges(((s,r,o,a,l)=>{if(n)return;let h=l.length-(r-s);if(i&&r>=i.to){if(i.from==s&&i.to==r&&i.insert.eq(l))return i=this.pendingContextChange=null,t+=h,void(this.to+=h);i=null,this.revertPending(e.state)}if(s+=t,(r+=t)<=this.from)this.from+=h,this.to+=h;else if(sthis.to||this.to-this.from+l.length>3e4)return void(n=!0);this.editContext.updateText(this.toContextPos(s),this.toContextPos(r),l.toString()),this.to+=h}t+=h})),i&&!n&&this.revertPending(e.state),!n}update(e){let t=this.pendingContextChange;this.applyEdits(e)&&this.rangeIsValid(e.state)?(e.docChanged||e.selectionSet||t)&&this.setSelection(e.state):(this.pendingContextChange=null,this.resetRange(e.state),this.editContext.updateText(0,this.editContext.text.length,e.state.doc.sliceString(this.from,this.to)),this.setSelection(e.state)),(e.geometryChanged||e.docChanged||e.selectionSet)&&e.view.requestMeasure(this.measureReq)}resetRange(e){let{head:t}=e.selection.main;this.from=Math.max(0,t-1e4),this.to=Math.min(e.doc.length,t+1e4)}revertPending(e){let t=this.pendingContextChange;this.pendingContextChange=null,this.editContext.updateText(this.toContextPos(t.from),this.toContextPos(t.from+t.insert.length),e.doc.sliceString(t.from,t.to))}setSelection(e){let{main:t}=e.selection,n=this.toContextPos(Math.max(this.from,Math.min(this.to,t.anchor))),i=this.toContextPos(t.head);this.editContext.selectionStart==n&&this.editContext.selectionEnd==i||this.editContext.updateSelection(n,i)}rangeIsValid(e){let{head:t}=e.selection.main;return!(this.from>0&&t-this.from<500||this.to3e4)}toEditorPos(e){return e+this.from}toContextPos(e){return e-this.from}destroy(){for(let e in this.handlers)this.editContext.removeEventListener(e,this.handlers[e])}}class li{get state(){return this.viewState.state}get viewport(){return this.viewState.viewport}get visibleRanges(){return this.viewState.visibleRanges}get inView(){return this.viewState.inView}get composing(){return this.inputState.composing>0}get compositionStarted(){return this.inputState.composing>=0}get root(){return this._root}get win(){return this.dom.ownerDocument.defaultView||window}constructor(e={}){var t;this.plugins=[],this.pluginMap=new Map,this.editorAttrs={},this.contentAttrs={},this.bidiCache=[],this.destroyed=!1,this.updateState=2,this.measureScheduled=-1,this.measureRequests=[],this.contentDOM=document.createElement("div"),this.scrollDOM=document.createElement("div"),this.scrollDOM.tabIndex=-1,this.scrollDOM.className="cm-scroller",this.scrollDOM.appendChild(this.contentDOM),this.announceDOM=document.createElement("div"),this.announceDOM.className="cm-announced",this.announceDOM.setAttribute("aria-live","polite"),this.dom=document.createElement("div"),this.dom.appendChild(this.announceDOM),this.dom.appendChild(this.scrollDOM),e.parent&&e.parent.appendChild(this.dom);let{dispatch:n}=e;this.dispatchTransactions=e.dispatchTransactions||n&&(e=>e.forEach((e=>n(e,this))))||(e=>this.update(e)),this.dispatch=this.dispatch.bind(this),this._root=e.root||function(e){for(;e;){if(e&&(9==e.nodeType||11==e.nodeType&&e.host))return e;e=e.assignedSlot||e.parentNode}return null}(e.parent)||document,this.viewState=new zn(e.state||i.$t.create(e)),e.scrollTo&&e.scrollTo.is(nt)&&(this.viewState.scrollTarget=e.scrollTo.value.clip(this.viewState.state)),this.plugins=this.state.facet(at).map((e=>new ht(e)));for(let e of this.plugins)e.update(this);this.observer=new si(this),this.inputState=new Wt(this),this.inputState.ensureHandlers(this.plugins),this.docView=new kt(this),this.mountStyles(),this.updateAttrs(),this.updateState=0,this.requestMeasure(),(null===(t=document.fonts)||void 0===t?void 0:t.ready)&&document.fonts.ready.then((()=>this.requestMeasure()))}dispatch(...e){let t=1==e.length&&e[0]instanceof i.ZX?e:1==e.length&&Array.isArray(e[0])?e[0]:[this.state.update(...e)];this.dispatchTransactions(t,this)}update(e){if(0!=this.updateState)throw new Error("Calls to EditorView.update are not allowed while an update is in progress");let t,n=!1,s=!1,r=this.state;for(let t of e){if(t.startState!=r)throw new RangeError("Trying to update state with a transaction that doesn't start from the previous state.");r=t.state}if(this.destroyed)return void(this.viewState.state=r);let o=this.hasFocus,a=0,l=null;e.some((e=>e.annotation(gn)))?(this.inputState.notifiedFocused=o,a=1):o!=this.inputState.notifiedFocused&&(this.inputState.notifiedFocused=o,l=bn(r,o),l||(a=1));let h=this.observer.delayedAndroidKey,c=null;if(h?(this.observer.clearDelayedAndroidKey(),c=this.observer.readChange(),(c&&!this.state.doc.eq(r.doc)||!this.state.selection.eq(r.selection))&&(c=null)):this.observer.clear(),r.facet(i.$t.phrases)!=this.state.facet(i.$t.phrases))return this.setState(r);t=wt.create(this,r,e),t.flags|=a;let u=this.viewState.scrollTarget;try{this.updateState=2;for(let t of e){if(u&&(u=u.map(t.changes)),t.scrollIntoView){let{main:e}=t.state.selection;u=new tt(e.empty?e:i.OF.cursor(e.head,e.head>e.anchor?-1:1))}for(let e of t.effects)e.is(nt)&&(u=e.value.clip(this.state))}this.viewState.update(t,u),this.bidiCache=ui.update(this.bidiCache,t.changes),t.empty||(this.updatePlugins(t),this.inputState.update(t)),n=this.docView.update(t),this.state.facet(vt)!=this.styleModules&&this.mountStyles(),s=this.updateAttrs(),this.showAnnouncements(e),this.docView.updateSelection(n,e.some((e=>e.isUserEvent("select.pointer"))))}finally{this.updateState=0}if(t.startState.facet(Kn)!=t.state.facet(Kn)&&(this.viewState.mustMeasureContent=!0),(n||s||u||this.viewState.mustEnforceCursorAssoc||this.viewState.mustMeasureContent)&&this.requestMeasure(),n&&this.docViewUpdate(),!t.empty)for(let e of this.state.facet(Ue))try{e(t)}catch(e){st(this.state,e,"update listener")}(l||c)&&Promise.resolve().then((()=>{l&&this.state==l.startState&&this.dispatch(l),c&&!qt(this,c)&&h.force&&_(this.contentDOM,h.key,h.keyCode)}))}setState(e){if(0!=this.updateState)throw new Error("Calls to EditorView.setState are not allowed while an update is in progress");if(this.destroyed)return void(this.viewState.state=e);this.updateState=2;let t=this.hasFocus;try{for(let e of this.plugins)e.destroy(this);this.viewState=new zn(e),this.plugins=e.facet(at).map((e=>new ht(e))),this.pluginMap.clear();for(let e of this.plugins)e.update(this);this.docView.destroy(),this.docView=new kt(this),this.inputState.ensureHandlers(this.plugins),this.mountStyles(),this.updateAttrs(),this.bidiCache=[]}finally{this.updateState=0}t&&this.focus(),this.requestMeasure()}updatePlugins(e){let t=e.startState.facet(at),n=e.state.facet(at);if(t!=n){let i=[];for(let s of n){let n=t.indexOf(s);if(n<0)i.push(new ht(s));else{let t=this.plugins[n];t.mustUpdate=e,i.push(t)}}for(let t of this.plugins)t.mustUpdate!=e&&t.destroy(this);this.plugins=i,this.pluginMap.clear()}else for(let t of this.plugins)t.mustUpdate=e;for(let e=0;e-1&&this.win.cancelAnimationFrame(this.measureScheduled),this.observer.delayedAndroidKey)return this.measureScheduled=-1,void this.requestMeasure();this.measureScheduled=0,e&&this.observer.forceFlush();let t=null,n=this.scrollDOM,i=n.scrollTop*this.scaleY,{scrollAnchorPos:s,scrollAnchorHeight:r}=this.viewState;Math.abs(i-this.viewState.scrollTop)>1&&(r=-1),this.viewState.scrollAnchorHeight=-1;try{for(let e=0;;e++){if(r<0)if(E(n))s=-1,r=this.viewState.heightMap.height;else{let e=this.viewState.scrollAnchorAt(i);s=e.from,r=e.top}this.updateState=1;let o=this.viewState.measure(this);if(!o&&!this.measureRequests.length&&null==this.viewState.scrollTarget)break;if(e>5){console.warn(this.measureRequests.length?"Measure loop restarted more than 5 times":"Viewport failed to stabilize");break}let a=[];4&o||([this.measureRequests,a]=[a,this.measureRequests]);let l=a.map((e=>{try{return e.read(this)}catch(e){return st(this.state,e),ci}})),h=wt.create(this,this.state,[]),c=!1;h.flags|=o,t?t.flags|=o:t=h,this.updateState=2,h.empty||(this.updatePlugins(h),this.inputState.update(h),this.updateAttrs(),c=this.docView.update(h),c&&this.docViewUpdate());for(let e=0;e1||e<-1){i+=e,n.scrollTop=i/this.scaleY,r=-1;continue}}}break}}}finally{this.updateState=0,this.measureScheduled=-1}if(t&&!t.empty)for(let e of this.state.facet(Ue))e(t)}get themeClasses(){return Yn+" "+(this.state.facet(Jn)?Qn:Xn)+" "+this.state.facet(Kn)}updateAttrs(){let e=fi(this,ct,{class:"cm-editor"+(this.hasFocus?" cm-focused ":" ")+this.themeClasses}),t={spellcheck:"false",autocorrect:"off",autocapitalize:"off",translate:"no",contenteditable:this.state.facet(rt)?"true":"false",class:"cm-content",style:`${X.tabSize}: ${this.state.tabSize}`,role:"textbox","aria-multiline":"true"};this.state.readOnly&&(t["aria-readonly"]="true"),fi(this,ut,t);let n=this.observer.ignore((()=>{let n=le(this.contentDOM,this.contentAttrs,t),i=le(this.dom,this.editorAttrs,e);return n||i}));return this.editorAttrs=e,this.contentAttrs=t,n}showAnnouncements(e){let t=!0;for(let n of e)for(let e of n.effects)e.is(li.announce)&&(t&&(this.announceDOM.textContent=""),t=!1,this.announceDOM.appendChild(document.createElement("div")).textContent=e.value)}mountStyles(){this.styleModules=this.state.facet(vt);let e=this.state.facet(li.cspNonce);s.G.mount(this.root,this.styleModules.concat(ti).reverse(),e?{nonce:e}:void 0)}readMeasured(){if(2==this.updateState)throw new Error("Reading the editor layout isn't allowed during an update");0==this.updateState&&this.measureScheduled>-1&&this.measure(!1)}requestMeasure(e){if(this.measureScheduled<0&&(this.measureScheduled=this.win.requestAnimationFrame((()=>this.measure()))),e){if(this.measureRequests.indexOf(e)>-1)return;if(null!=e.key)for(let t=0;tt.spec==e))||null),t&&t.update(this).value}get documentTop(){return this.contentDOM.getBoundingClientRect().top+this.viewState.paddingTop}get documentPadding(){return{top:this.viewState.paddingTop,bottom:this.viewState.paddingBottom}}get scaleX(){return this.viewState.scaleX}get scaleY(){return this.viewState.scaleY}elementAtHeight(e){return this.readMeasured(),this.viewState.elementAtHeight(e)}lineBlockAtHeight(e){return this.readMeasured(),this.viewState.lineBlockAtHeight(e)}get viewportLineBlocks(){return this.viewState.viewportLines}lineBlockAt(e){return this.viewState.lineBlockAt(e)}get contentHeight(){return this.viewState.contentHeight}moveByChar(e,t,n){return Bt(this,e,jt(this,e,t,n))}moveByGroup(e,t){return Bt(this,e,jt(this,e,t,(t=>function(e,t,n){let s=e.state.charCategorizer(t),r=s(n);return e=>{let t=s(e);return r==i.Je.Space&&(r=t),r==t}}(this,e.head,t))))}visualLineSide(e,t){let n=this.bidiSpans(e),s=this.textDirectionAt(e.from),r=n[t?n.length-1:0];return i.OF.cursor(r.side(t,s)+e.from,r.forward(!t,s)?1:-1)}moveToLineBoundary(e,t,n=!0){return function(e,t,n,s){let r=Rt(e,t.head),o=s&&r.type==ue.Text&&(e.lineWrapping||r.widgetLineBreaks)?e.coordsAtPos(t.assoc<0&&t.head>r.from?t.head-1:t.head):null;if(o){let t=e.dom.getBoundingClientRect(),s=e.textDirectionAt(r.from),a=e.posAtCoords({x:n==(s==Ce.LTR)?t.right-1:t.left+1,y:(o.top+o.bottom)/2});if(null!=a)return i.OF.cursor(a,n?-1:1)}return i.OF.cursor(n?r.to:r.from,n?-1:1)}(this,e,t,n)}moveVertically(e,t,n){return Bt(this,e,function(e,t,n,s){let r=t.head,o=n?1:-1;if(r==(n?e.state.doc.length:0))return i.OF.cursor(r,t.assoc);let a,l=t.goalColumn,h=e.contentDOM.getBoundingClientRect(),c=e.coordsAtPos(r,t.assoc||-1),u=e.documentTop;if(c)null==l&&(l=c.left-h.left),a=o<0?c.top:c.bottom;else{let t=e.viewState.lineBlockAt(r);null==l&&(l=Math.min(h.right-h.left,e.defaultCharacterWidth*(r-t.from))),a=(o<0?t.top:t.bottom)+u}let f=h.left+l,d=null!=s?s:e.viewState.heightOracle.textHeight>>1;for(let t=0;;t+=10){let n=a+(d+t)*o,s=Dt(e,{x:f,y:n},!1,o);if(nh.bottom||(o<0?sr)){let t=e.docView.coordsForChar(s),r=!t||n0)}coordsForChar(e){return this.readMeasured(),this.docView.coordsForChar(e)}get defaultCharacterWidth(){return this.viewState.heightOracle.charWidth}get defaultLineHeight(){return this.viewState.heightOracle.lineHeight}get textDirection(){return this.viewState.defaultTextDirection}textDirectionAt(e){return!this.state.facet(Qe)||ethis.viewport.to?this.textDirection:(this.readMeasured(),this.docView.textDirectionAt(e))}get lineWrapping(){return this.viewState.heightOracle.lineWrapping}bidiSpans(e){if(e.length>hi)return Fe(e.length);let t,n=this.textDirectionAt(e.from);for(let i of this.bidiCache)if(i.from==e.from&&i.dir==n&&(i.fresh||je(i.isolates,t=gt(this,e))))return i.order;t||(t=gt(this,e));let i=function(e,t,n){if(!e)return[new Re(0,0,t==Oe?1:0)];if(t==Ae&&!n.length&&!Pe.test(e))return Fe(e.length);if(n.length)for(;e.length>Le.length;)Le[Le.length]=256;let i=[],s=t==Ae?0:1;return Ie(e,s,s,n,0,e.length,i),i}(e.text,n,t);return this.bidiCache.push(new ui(e.from,e.to,n,t,!0,i)),i}get hasFocus(){var e;return(this.dom.ownerDocument.hasFocus()||X.safari&&(null===(e=this.inputState)||void 0===e?void 0:e.lastContextMenu)>Date.now()-3e4)&&this.root.activeElement==this.contentDOM}focus(){this.observer.ignore((()=>{O(this.contentDOM),this.docView.updateSelection()}))}setRoot(e){this._root!=e&&(this._root=e,this.observer.setWindow((9==e.nodeType?e:e.ownerDocument).defaultView||window),this.mountStyles())}destroy(){this.root.activeElement==this.contentDOM&&this.contentDOM.blur();for(let e of this.plugins)e.destroy(this);this.plugins=[],this.inputState.destroy(),this.docView.destroy(),this.dom.remove(),this.observer.destroy(),this.measureScheduled>-1&&this.win.cancelAnimationFrame(this.measureScheduled),this.destroyed=!0}static scrollIntoView(e,t={}){return nt.of(new tt("number"==typeof e?i.OF.cursor(e):e,t.y,t.x,t.yMargin,t.xMargin))}scrollSnapshot(){let{scrollTop:e,scrollLeft:t}=this.scrollDOM,n=this.viewState.scrollAnchorAt(e);return nt.of(new tt(i.OF.cursor(n.from),"start","start",n.top-e,t,!0))}setTabFocusMode(e){null==e?this.inputState.tabFocusMode=this.inputState.tabFocusMode<0?0:-1:"boolean"==typeof e?this.inputState.tabFocusMode=e?0:-1:0!=this.inputState.tabFocusMode&&(this.inputState.tabFocusMode=Date.now()+e)}static domEventHandlers(e){return lt.define((()=>({})),{eventHandlers:e})}static domEventObservers(e){return lt.define((()=>({})),{eventObservers:e})}static theme(e,t){let n=s.G.newName(),i=[Kn.of(n),vt.of(ei(`.${n}`,e))];return t&&t.dark&&i.push(Jn.of(!0)),i}static baseTheme(e){return i.Nb.lowest(vt.of(ei("."+Yn,e,Zn)))}static findFromDOM(e){var t;let n=e.querySelector(".cm-content"),i=n&&j.get(n)||j.get(e);return(null===(t=null==i?void 0:i.rootView)||void 0===t?void 0:t.view)||null}}li.styleModule=vt,li.inputHandler=Ke,li.clipboardInputFilter=Ye,li.clipboardOutputFilter=Xe,li.scrollHandler=et,li.focusChangeEffect=Je,li.perLineTextDirection=Qe,li.exceptionSink=Ge,li.updateListener=Ue,li.editable=rt,li.mouseSelectionStyle=We,li.dragMovesSelection=Ve,li.clickAddsSelectionRange=qe,li.decorations=ft,li.outerDecorations=dt,li.atomicRanges=pt,li.bidiIsolatedRanges=mt,li.scrollMargins=bt,li.darkTheme=Jn,li.cspNonce=i.sj.define({combine:e=>e.length?e[0]:""}),li.contentAttributes=ut,li.editorAttributes=ct,li.lineWrapping=li.contentAttributes.of({class:"cm-lineWrapping"}),li.announce=i.Pe.define();const hi=4096,ci={};class ui{constructor(e,t,n,i,s,r){this.from=e,this.to=t,this.dir=n,this.isolates=i,this.fresh=s,this.order=r}static update(e,t){if(t.empty&&!e.some((e=>e.fresh)))return e;let n=[],i=e.length?e[e.length-1].dir:Ce.LTR;for(let s=Math.max(0,e.length-10);s=0;s--){let t=i[s],r="function"==typeof t?t(e):t;r&&re(r,n)}return n}const di=X.mac?"mac":X.windows?"win":X.linux?"linux":"key";function pi(e,t,n){return t.altKey&&(e="Alt-"+e),t.ctrlKey&&(e="Ctrl-"+e),t.metaKey&&(e="Meta-"+e),!1!==n&&t.shiftKey&&(e="Shift-"+e),e}const mi=i.Nb.default(li.domEventHandlers({keydown:(e,t)=>Si(yi(t.state),e,t,"editor")})),gi=i.sj.define({enables:mi}),bi=new WeakMap;function yi(e){let t=e.facet(gi),n=bi.get(t);return n||bi.set(t,n=function(e,t=di){let n=Object.create(null),i=Object.create(null),s=(e,t)=>{let n=i[e];if(null==n)i[e]=t;else if(n!=t)throw new Error("Key binding "+e+" is used both as a regular binding and as a multi-stroke prefix")},r=(e,i,r,o,a)=>{var l,h;let c=n[e]||(n[e]=Object.create(null)),u=i.split(/ (?!$)/).map((e=>function(e,t){const n=e.split(/-(?!$)/);let i,s,r,o,a=n[n.length-1];"Space"==a&&(a=" ");for(let e=0;e{let i=xi={view:t,prefix:n,scope:e};return setTimeout((()=>{xi==i&&(xi=null)}),wi),!0}]})}let f=u.join(" ");s(f,!1);let d=c[f]||(c[f]={preventDefault:!1,stopPropagation:!1,run:(null===(h=null===(l=c._any)||void 0===l?void 0:l.run)||void 0===h?void 0:h.slice())||[]});r&&d.run.push(r),o&&(d.preventDefault=!0),a&&(d.stopPropagation=!0)};for(let i of e){let e=i.scope?i.scope.split(" "):["editor"];if(i.any)for(let t of e){let e=n[t]||(n[t]=Object.create(null));e._any||(e._any={preventDefault:!1,stopPropagation:!1,run:[]});let{any:s}=i;for(let t in e)e[t].run.push((e=>s(e,ki)))}let s=i[t]||i.key;if(s)for(let t of e)r(t,s,i.run,i.preventDefault,i.stopPropagation),i.shift&&r(t,"Shift-"+s,i.shift,i.preventDefault,i.stopPropagation)}return n}(t.reduce(((e,t)=>e.concat(t)),[]))),n}function vi(e,t,n){return Si(yi(e.state),t,e,n)}let xi=null;const wi=4e3;let ki=null;function Si(e,t,n,s){ki=t;let h=function(e){var t=!(a&&e.metaKey&&e.shiftKey&&!e.ctrlKey&&!e.altKey||l&&e.shiftKey&&e.key&&1==e.key.length||"Unidentified"==e.key)&&e.key||(e.shiftKey?o:r)[e.keyCode]||e.key||"Unidentified";return"Esc"==t&&(t="Escape"),"Del"==t&&(t="Delete"),"Left"==t&&(t="ArrowLeft"),"Up"==t&&(t="ArrowUp"),"Right"==t&&(t="ArrowRight"),"Down"==t&&(t="ArrowDown"),t}(t),c=(0,i.vS)(h,0),u=(0,i.Fh)(c)==h.length&&" "!=h,f="",d=!1,p=!1,m=!1;xi&&xi.view==n&&xi.scope==s&&(f=xi.prefix+" ",Yt.indexOf(t.keyCode)<0&&(p=!0,xi=null));let g,b,y=new Set,v=e=>{if(e){for(let t of e.run)if(!y.has(t)&&(y.add(t),t(n)))return e.stopPropagation&&(m=!0),!0;e.preventDefault&&(e.stopPropagation&&(m=!0),p=!0)}return!1},x=e[s];return x&&(v(x[f+pi(h,t,!u)])?d=!0:u&&(t.altKey||t.metaKey||t.ctrlKey)&&!(X.windows&&t.ctrlKey&&t.altKey)&&(g=r[t.keyCode])&&g!=h?(v(x[f+pi(g,t,!0)])||t.shiftKey&&(b=o[t.keyCode])!=h&&b!=g&&v(x[f+pi(b,t,!1)]))&&(d=!0):u&&t.shiftKey&&v(x[f+pi(h,t,!0)])&&(d=!0),!d&&v(x._any)&&(d=!0)),p&&(d=!0),d&&m&&t.stopPropagation(),ki=null,d}class Ci{constructor(e,t,n,i,s){this.className=e,this.left=t,this.top=n,this.width=i,this.height=s}draw(){let e=document.createElement("div");return e.className=this.className,this.adjust(e),e}update(e,t){return t.className==this.className&&(this.adjust(e),!0)}adjust(e){e.style.left=this.left+"px",e.style.top=this.top+"px",null!=this.width&&(e.style.width=this.width+"px"),e.style.height=this.height+"px"}eq(e){return this.left==e.left&&this.top==e.top&&this.width==e.width&&this.height==e.height&&this.className==e.className}static forRange(e,t,n){if(n.empty){let i=e.coordsAtPos(n.head,n.assoc||1);if(!i)return[];let s=Ai(e);return[new Ci(t,i.left-s.left,i.top-s.top,null,i.bottom-i.top)]}return function(e,t,n){if(n.to<=e.viewport.from||n.from>=e.viewport.to)return[];let i=Math.max(n.from,e.viewport.from),s=Math.min(n.to,e.viewport.to),r=e.textDirection==Ce.LTR,o=e.contentDOM,a=o.getBoundingClientRect(),l=Ai(e),h=o.querySelector(".cm-line"),c=h&&window.getComputedStyle(h),u=a.left+(c?parseInt(c.paddingLeft)+Math.min(0,parseInt(c.textIndent)):0),f=a.right-(c?parseInt(c.paddingRight):0),d=Rt(e,i),p=Rt(e,s),m=d.type==ue.Text?d:null,g=p.type==ue.Text?p:null;if(m&&(e.lineWrapping||d.widgetLineBreaks)&&(m=Oi(e,i,1,m)),g&&(e.lineWrapping||p.widgetLineBreaks)&&(g=Oi(e,s,-1,g)),m&&g&&m.from==g.from&&m.to==g.to)return y(v(n.from,n.to,m));{let t=m?v(n.from,null,m):x(d,!1),i=g?v(null,n.to,g):x(p,!0),s=[];return(m||d).to<(g||p).from-(m&&g?1:0)||d.widgetLineBreaks>1&&t.bottom+e.defaultLineHeight/2h&&i.from=r)break;a>s&&l(Math.max(e,s),null==t&&e<=h,Math.min(a,r),null==n&&a>=c,o.dir)}if(s=i.to+1,s>=r)break}return 0==a.length&&l(h,null==t,c,null==n,e.textDirection),{top:s,bottom:o,horizontal:a}}function x(e,t){let n=a.top+(t?e.top:e.bottom);return{top:n,bottom:n,horizontal:[]}}}(e,t,n)}}function Ai(e){let t=e.scrollDOM.getBoundingClientRect();return{left:(e.textDirection==Ce.LTR?t.left:t.right-e.scrollDOM.clientWidth*e.scaleX)-e.scrollDOM.scrollLeft*e.scaleX,top:t.top-e.scrollDOM.scrollTop*e.scaleY}}function Oi(e,t,n,i){let s=e.coordsAtPos(t,2*n);if(!s)return i;let r=e.dom.getBoundingClientRect(),o=(s.top+s.bottom)/2,a=e.posAtCoords({x:r.left+1,y:o}),l=e.posAtCoords({x:r.right-1,y:o});return null==a||null==l?i:{from:Math.max(i.from,Math.min(a,l)),to:Math.min(i.to,Math.max(a,l))}}class Mi{constructor(e,t){this.view=e,this.layer=t,this.drawn=[],this.scaleX=1,this.scaleY=1,this.measureReq={read:this.measure.bind(this),write:this.draw.bind(this)},this.dom=e.scrollDOM.appendChild(document.createElement("div")),this.dom.classList.add("cm-layer"),t.above&&this.dom.classList.add("cm-layer-above"),t.class&&this.dom.classList.add(t.class),this.scale(),this.dom.setAttribute("aria-hidden","true"),this.setOrder(e.state),e.requestMeasure(this.measureReq),t.mount&&t.mount(this.dom,e)}update(e){e.startState.facet(_i)!=e.state.facet(_i)&&this.setOrder(e.state),(this.layer.update(e,this.dom)||e.geometryChanged)&&(this.scale(),e.view.requestMeasure(this.measureReq))}docViewUpdate(e){!1!==this.layer.updateOnDocViewUpdate&&e.requestMeasure(this.measureReq)}setOrder(e){let t=0,n=e.facet(_i);for(;t{return n=e,i=this.drawn[t],!(n.constructor==i.constructor&&n.eq(i));var n,i}))){let t=this.dom.firstChild,n=0;for(let i of e)i.update&&t&&i.constructor&&this.drawn[n].constructor&&i.update(t,this.drawn[n])?(t=t.nextSibling,n++):this.dom.insertBefore(i.draw(),t);for(;t;){let e=t.nextSibling;t.remove(),t=e}this.drawn=e}}destroy(){this.layer.destroy&&this.layer.destroy(this.dom,this.view),this.dom.remove()}}const _i=i.sj.define();function Ti(e){return[lt.define((t=>new Mi(t,e))),_i.of(e)]}const Ei=!X.ios,Ni=i.sj.define({combine:e=>(0,i.QR)(e,{cursorBlinkRate:1200,drawRangeCursor:!0},{cursorBlinkRate:(e,t)=>Math.min(e,t),drawRangeCursor:(e,t)=>e||t})});function Di(e={}){return[Ni.of(e),Ri,Li,Ii,Ze.of(!0)]}function Pi(e){return e.startState.facet(Ni)!=e.state.facet(Ni)}const Ri=Ti({above:!0,markers(e){let{state:t}=e,n=t.facet(Ni),s=[];for(let r of t.selection.ranges){let o=r==t.selection.main;if(r.empty?!o||Ei:n.drawRangeCursor){let t=o?"cm-cursor cm-cursor-primary":"cm-cursor cm-cursor-secondary",n=r.empty?r:i.OF.cursor(r.head,r.head>r.anchor?-1:1);for(let i of Ci.forRange(e,t,n))s.push(i)}}return s},update(e,t){e.transactions.some((e=>e.selection))&&(t.style.animationName="cm-blink"==t.style.animationName?"cm-blink2":"cm-blink");let n=Pi(e);return n&&ji(e.state,t),e.docChanged||e.selectionSet||n},mount(e,t){ji(t.state,e)},class:"cm-cursorLayer"});function ji(e,t){t.style.animationDuration=e.facet(Ni).cursorBlinkRate+"ms"}const Li=Ti({above:!1,markers:e=>e.state.selection.ranges.map((t=>t.empty?[]:Ci.forRange(e,"cm-selectionBackground",t))).reduce(((e,t)=>e.concat(t))),update:(e,t)=>e.docChanged||e.selectionSet||e.viewportChanged||Pi(e),class:"cm-selectionLayer"}),Bi={".cm-line":{"& ::selection, &::selection":{backgroundColor:"transparent !important"}},".cm-content":{"& :focus":{caretColor:"initial !important","&::selection, & ::selection":{backgroundColor:"Highlight !important"}}}};Ei&&(Bi[".cm-line"].caretColor=Bi[".cm-content"].caretColor="transparent !important");const Ii=i.Nb.highest(li.theme(Bi));function Fi(e,t,n,i,s){t.lastIndex=0;for(let r,o=e.iterRange(n,i),a=n;!o.next().done;a+=o.value.length)if(!o.lineBreak)for(;r=t.exec(o.value);)s(a+r.index,r)}class $i{constructor(e){const{regexp:t,decoration:n,decorate:i,boundary:s,maxLength:r=1e3}=e;if(!t.global)throw new RangeError("The regular expression given to MatchDecorator should have its 'g' flag set");if(this.regexp=t,i)this.addMatch=(e,t,n,s)=>i(s,n,n+e[0].length,e,t);else if("function"==typeof n)this.addMatch=(e,t,i,s)=>{let r=n(e,t,i);r&&s(i,i+e[0].length,r)};else{if(!n)throw new RangeError("Either 'decorate' or 'decoration' should be provided to MatchDecorator");this.addMatch=(e,t,i,s)=>s(i,i+e[0].length,n)}this.boundary=s,this.maxLength=r}createDeco(e){let t=new i.vB,n=t.add.bind(t);for(let{from:t,to:i}of function(e,t){let n=e.visibleRanges;if(1==n.length&&n[0].from==e.viewport.from&&n[0].to==e.viewport.to)return n;let i=[];for(let{from:s,to:r}of n)s=Math.max(e.state.doc.lineAt(s).from,s-t),r=Math.min(e.state.doc.lineAt(r).to,r+t),i.length&&i[i.length-1].to>=s?i[i.length-1].to=r:i.push({from:s,to:r});return i}(e,this.maxLength))Fi(e.state.doc,this.regexp,t,i,((t,i)=>this.addMatch(i,e,t,n)));return t.finish()}updateDeco(e,t){let n=1e9,i=-1;return e.docChanged&&e.changes.iterChanges(((t,s,r,o)=>{o>e.view.viewport.from&&r1e3?this.createDeco(e.view):i>-1?this.updateRange(e.view,t.map(e.changes),n,i):t}updateRange(e,t,n,i){for(let s of e.visibleRanges){let r=Math.max(s.from,n),o=Math.min(s.to,i);if(o>r){let n=e.state.doc.lineAt(r),i=n.ton.from;r--)if(this.boundary.test(n.text[r-1-n.from])){a=r;break}for(;oc.push(n.range(e,t));if(n==i)for(this.regexp.lastIndex=a-n.from;(h=this.regexp.exec(n.text))&&h.indexthis.addMatch(n,e,t,u)));t=t.update({filterFrom:a,filterTo:l,filter:(e,t)=>el,add:c})}}return t}}const zi=null!=/x/.unicode?"gu":"g",Hi=new RegExp("[\0-\b\n--Ÿ­؜​‎‏\u2028\u2029‭‮⁦⁧⁩\ufeff-]",zi),qi={0:"null",7:"bell",8:"backspace",10:"newline",11:"vertical tab",13:"carriage return",27:"escape",8203:"zero width space",8204:"zero width non-joiner",8205:"zero width joiner",8206:"left-to-right mark",8207:"right-to-left mark",8232:"line separator",8237:"left-to-right override",8238:"right-to-left override",8294:"left-to-right isolate",8295:"right-to-left isolate",8297:"pop directional isolate",8233:"paragraph separator",65279:"zero width no-break space",65532:"object replacement"};let Vi=null;const Wi=i.sj.define({combine(e){let t=(0,i.QR)(e,{render:null,specialChars:Hi,addSpecialChars:null});return(t.replaceTabs=!function(){var e;if(null==Vi&&"undefined"!=typeof document&&document.body){let t=document.body.style;Vi=null!=(null!==(e=t.tabSize)&&void 0!==e?e:t.MozTabSize)}return Vi||!1}())&&(t.specialChars=new RegExp("\t|"+t.specialChars.source,zi)),t.addSpecialChars&&(t.specialChars=new RegExp(t.specialChars.source+"|"+t.addSpecialChars.source,zi)),t}});function Gi(e={}){return[Wi.of(e),Ui||(Ui=lt.fromClass(class{constructor(e){this.view=e,this.decorations=fe.none,this.decorationCache=Object.create(null),this.decorator=this.makeDecorator(e.state.facet(Wi)),this.decorations=this.decorator.createDeco(e)}makeDecorator(e){return new $i({regexp:e.specialChars,decoration:(t,n,s)=>{let{doc:r}=n.state,o=(0,i.vS)(t[0],0);if(9==o){let e=r.lineAt(s),t=n.state.tabSize,o=(0,i.y$)(e.text,t,s-e.from);return fe.replace({widget:new Ji((t-o%t)*this.view.defaultCharacterWidth/this.view.scaleX)})}return this.decorationCache[o]||(this.decorationCache[o]=fe.replace({widget:new Ki(e,o)}))},boundary:e.replaceTabs?void 0:/[^]/})}update(e){let t=e.state.facet(Wi);e.startState.facet(Wi)!=t?(this.decorator=this.makeDecorator(t),this.decorations=this.decorator.createDeco(e.view)):this.decorations=this.decorator.updateDeco(e,this.decorations)}},{decorations:e=>e.decorations}))]}let Ui=null;class Ki extends ce{constructor(e,t){super(),this.options=e,this.code=t}eq(e){return e.code==this.code}toDOM(e){let t=function(e){return e>=32?"•":10==e?"␤":String.fromCharCode(9216+e)}(this.code),n=e.state.phrase("Control character")+" "+(qi[this.code]||"0x"+this.code.toString(16)),i=this.options.render&&this.options.render(this.code,n,t);if(i)return i;let s=document.createElement("span");return s.textContent=t,s.title=n,s.setAttribute("aria-label",n),s.className="cm-specialChar",s}ignoreEvent(){return!1}}class Ji extends ce{constructor(e){super(),this.width=e}eq(e){return e.width==this.width}toDOM(){let e=document.createElement("span");return e.textContent="\t",e.className="cm-tab",e.style.width=this.width+"px",e}ignoreEvent(){return!1}}const Yi=lt.fromClass(class{constructor(){this.height=1e3,this.attrs={style:"padding-bottom: 1000px"}}update(e){let{view:t}=e,n=t.viewState.editorHeight-t.defaultLineHeight-t.documentPadding.top-.5;n>=0&&n!=this.height&&(this.height=n,this.attrs={style:`padding-bottom: ${n}px`})}});function Xi(){return[Yi,ut.of((e=>{var t;return(null===(t=e.plugin(Yi))||void 0===t?void 0:t.attrs)||null}))]}function Qi(){return es}const Zi=fe.line({class:"cm-activeLine"}),es=lt.fromClass(class{constructor(e){this.decorations=this.getDeco(e)}update(e){(e.docChanged||e.selectionSet)&&(this.decorations=this.getDeco(e.view))}getDeco(e){let t=-1,n=[];for(let i of e.state.selection.ranges){let s=e.lineBlockAt(i.head);s.from>t&&(n.push(Zi.range(s.from)),t=s.from)}return fe.set(n)}},{decorations:e=>e.decorations}),ts=2e3;function ns(e,t){let n=e.posAtCoords({x:t.clientX,y:t.clientY},!1),s=e.state.doc.lineAt(n),r=n-s.from,o=r>ts?-1:r==s.length?function(e,t){let n=e.coordsAtPos(e.viewport.from);return n?Math.round(Math.abs((n.left-t)/e.defaultCharacterWidth)):-1}(e,t.clientX):(0,i.y$)(s.text,e.state.tabSize,n-s.from);return{line:s.number,col:o,off:r}}function is(e){let t=(null==e?void 0:e.eventFilter)||(e=>e.altKey&&0==e.button);return li.mouseSelectionStyle.of(((e,n)=>t(n)?function(e,t){let n=ns(e,t),s=e.state.selection;return n?{update(e){if(e.docChanged){let t=e.changes.mapPos(e.startState.doc.line(n.line).from),i=e.state.doc.lineAt(t);n={line:i.number,col:n.col,off:Math.min(n.off,i.length)},s=s.map(e.changes)}},get(t,r,o){let a=ns(e,t);if(!a)return s;let l=function(e,t,n){let s=Math.min(t.line,n.line),r=Math.max(t.line,n.line),o=[];if(t.off>ts||n.off>ts||t.col<0||n.col<0){let a=Math.min(t.off,n.off),l=Math.max(t.off,n.off);for(let t=s;t<=r;t++){let n=e.doc.line(t);n.length<=l&&o.push(i.OF.range(n.from+a,n.to+l))}}else{let a=Math.min(t.col,n.col),l=Math.max(t.col,n.col);for(let t=s;t<=r;t++){let n=e.doc.line(t),s=(0,i.kn)(n.text,a,e.tabSize,!0);if(s<0)o.push(i.OF.cursor(n.to));else{let t=(0,i.kn)(n.text,l,e.tabSize);o.push(i.OF.range(n.from+s,n.from+t))}}}return o}(e.state,n,a);return l.length?o?i.OF.create(l.concat(s.ranges)):i.OF.create(l):s}}:null}(e,n):null))}const ss={Alt:[18,e=>!!e.altKey],Control:[17,e=>!!e.ctrlKey],Shift:[16,e=>!!e.shiftKey],Meta:[91,e=>!!e.metaKey]},rs={style:"cursor: crosshair"};function os(e={}){let[t,n]=ss[e.key||"Alt"],i=lt.fromClass(class{constructor(e){this.view=e,this.isDown=!1}set(e){this.isDown!=e&&(this.isDown=e,this.view.update([]))}},{eventObservers:{keydown(e){this.set(e.keyCode==t||n(e))},keyup(e){e.keyCode!=t&&n(e)||this.set(!1)},mousemove(e){this.set(n(e))}}});return[i,li.contentAttributes.of((e=>{var t;return(null===(t=e.plugin(i))||void 0===t?void 0:t.isDown)?rs:null}))]}const as="-10000px";class ls{constructor(e,t,n,i){this.facet=t,this.createTooltipView=n,this.removeTooltipView=i,this.input=e.state.facet(t),this.tooltips=this.input.filter((e=>e));let s=null;this.tooltipViews=this.tooltips.map((e=>s=n(e,s)))}update(e,t){var n;let i=e.state.facet(this.facet),s=i.filter((e=>e));if(i===this.input){for(let t of this.tooltipViews)t.update&&t.update(e);return!1}let r=[],o=t?[]:null;for(let n=0;nt[n]=e)),t.length=o.length),this.input=i,this.tooltips=s,this.tooltipViews=r,!0}}function hs(e={}){return us.of(e)}function cs(e){let{win:t}=e;return{top:0,left:0,bottom:t.innerHeight,right:t.innerWidth}}const us=i.sj.define({combine:e=>{var t,n,i;return{position:X.ios?"absolute":(null===(t=e.find((e=>e.position)))||void 0===t?void 0:t.position)||"fixed",parent:(null===(n=e.find((e=>e.parent)))||void 0===n?void 0:n.parent)||null,tooltipSpace:(null===(i=e.find((e=>e.tooltipSpace)))||void 0===i?void 0:i.tooltipSpace)||cs}}}),fs=new WeakMap,ds=lt.fromClass(class{constructor(e){this.view=e,this.above=[],this.inView=!0,this.madeAbsolute=!1,this.lastTransaction=0,this.measureTimeout=-1;let t=e.state.facet(us);this.position=t.position,this.parent=t.parent,this.classes=e.themeClasses,this.createContainer(),this.measureReq={read:this.readMeasure.bind(this),write:this.writeMeasure.bind(this),key:this},this.resizeObserver="function"==typeof ResizeObserver?new ResizeObserver((()=>this.measureSoon())):null,this.manager=new ls(e,gs,((e,t)=>this.createTooltip(e,t)),(e=>{this.resizeObserver&&this.resizeObserver.unobserve(e.dom),e.dom.remove()})),this.above=this.manager.tooltips.map((e=>!!e.above)),this.intersectionObserver="function"==typeof IntersectionObserver?new 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n=t||e.geometryChanged,i=e.state.facet(us);if(i.position!=this.position&&!this.madeAbsolute){this.position=i.position;for(let e of this.manager.tooltipViews)e.dom.style.position=this.position;n=!0}if(i.parent!=this.parent){this.parent&&this.container.remove(),this.parent=i.parent,this.createContainer();for(let e of this.manager.tooltipViews)this.container.appendChild(e.dom);n=!0}else this.parent&&this.view.themeClasses!=this.classes&&(this.classes=this.container.className=this.view.themeClasses);n&&this.maybeMeasure()}createTooltip(e,t){let n=e.create(this.view),i=t?t.dom:null;if(n.dom.classList.add("cm-tooltip"),e.arrow&&!n.dom.querySelector(".cm-tooltip > .cm-tooltip-arrow")){let e=document.createElement("div");e.className="cm-tooltip-arrow",n.dom.appendChild(e)}return n.dom.style.position=this.position,n.dom.style.top=as,n.dom.style.left="0px",this.container.insertBefore(n.dom,i),n.mount&&n.mount(this.view),this.resizeObserver&&this.resizeObserver.observe(n.dom),n}destroy(){var e,t,n;this.view.win.removeEventListener("resize",this.measureSoon);for(let t of this.manager.tooltipViews)t.dom.remove(),null===(e=t.destroy)||void 0===e||e.call(t);this.parent&&this.container.remove(),null===(t=this.resizeObserver)||void 0===t||t.disconnect(),null===(n=this.intersectionObserver)||void 0===n||n.disconnect(),clearTimeout(this.measureTimeout)}readMeasure(){let e=this.view.dom.getBoundingClientRect(),t=1,n=1,i=!1;if("fixed"==this.position&&this.manager.tooltipViews.length){let{dom:e}=this.manager.tooltipViews[0];if(X.gecko)i=e.offsetParent!=this.container.ownerDocument.body;else if(e.style.top==as&&"0px"==e.style.left){let t=e.getBoundingClientRect();i=Math.abs(t.top+1e4)>1||Math.abs(t.left)>1}}if(i||"absolute"==this.position)if(this.parent){let e=this.parent.getBoundingClientRect();e.width&&e.height&&(t=e.width/this.parent.offsetWidth,n=e.height/this.parent.offsetHeight)}else({scaleX:t,scaleY:n}=this.view.viewState);return{editor:e,parent:this.parent?this.container.getBoundingClientRect():e,pos:this.manager.tooltips.map(((e,t)=>{let n=this.manager.tooltipViews[t];return n.getCoords?n.getCoords(e.pos):this.view.coordsAtPos(e.pos)})),size:this.manager.tooltipViews.map((({dom:e})=>e.getBoundingClientRect())),space:this.view.state.facet(us).tooltipSpace(this.view),scaleX:t,scaleY:n,makeAbsolute:i}}writeMeasure(e){var t;if(e.makeAbsolute){this.madeAbsolute=!0,this.position="absolute";for(let e of this.manager.tooltipViews)e.dom.style.position="absolute"}let{editor:n,space:i,scaleX:s,scaleY:r}=e,o=[];for(let a=0;a=Math.min(n.bottom,i.bottom)||u.rightMath.min(n.right,i.right)+.1){c.style.top=as;continue}let d=l.arrow?h.dom.querySelector(".cm-tooltip-arrow"):null,p=d?7:0,m=f.right-f.left,g=null!==(t=fs.get(h))&&void 0!==t?t:f.bottom-f.top,b=h.offset||ms,y=this.view.textDirection==Ce.LTR,v=f.width>i.right-i.left?y?i.left:i.right-f.width:y?Math.max(i.left,Math.min(u.left-(d?14:0)+b.x,i.right-m)):Math.min(Math.max(i.left,u.left-m+(d?14:0)-b.x),i.right-m),x=this.above[a];!l.strictSide&&(x?u.top-(f.bottom-f.top)-b.yi.bottom)&&x==i.bottom-u.bottom>u.top-i.top&&(x=this.above[a]=!x);let w=(x?u.top-i.top:i.bottom-u.bottom)-p;if(wv&&e.topk&&(k=x?e.top-g-2-p:e.bottom+p+2);if("absolute"==this.position?(c.style.top=(k-e.parent.top)/r+"px",c.style.left=(v-e.parent.left)/s+"px"):(c.style.top=k/r+"px",c.style.left=v/s+"px"),d){let e=u.left+(y?b.x:-b.x)-(v+14-7);d.style.left=e/s+"px"}!0!==h.overlap&&o.push({left:v,top:k,right:S,bottom:k+g}),c.classList.toggle("cm-tooltip-above",x),c.classList.toggle("cm-tooltip-below",!x),h.positioned&&h.positioned(e.space)}}maybeMeasure(){if(this.manager.tooltips.length&&(this.view.inView&&this.view.requestMeasure(this.measureReq),this.inView!=this.view.inView&&(this.inView=this.view.inView,!this.inView)))for(let e of this.manager.tooltipViews)e.dom.style.top=as}},{eventObservers:{scroll(){this.maybeMeasure()}}}),ps=li.baseTheme({".cm-tooltip":{zIndex:100,boxSizing:"border-box"},"&light .cm-tooltip":{border:"1px solid #bbb",backgroundColor:"#f5f5f5"},"&light .cm-tooltip-section:not(:first-child)":{borderTop:"1px solid #bbb"},"&dark .cm-tooltip":{backgroundColor:"#333338",color:"white"},".cm-tooltip-arrow":{height:"7px",width:"14px",position:"absolute",zIndex:-1,overflow:"hidden","&:before, &:after":{content:"''",position:"absolute",width:0,height:0,borderLeft:"7px solid 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this.curContext?this.curContext.context:null}pushState(e,t){this.stack.push(this.state,t,this.bufferBase+this.buffer.length),this.state=e}reduce(e){var t;let n=e>>19,i=65535&e,{parser:s}=this.p,r=this.reducePos=2e3&&!(null===(t=this.p.parser.nodeSet.types[i])||void 0===t?void 0:t.isAnonymous)&&(l==this.p.lastBigReductionStart?(this.p.bigReductionCount++,this.p.lastBigReductionSize=h):this.p.lastBigReductionSizea;)this.stack.pop();this.reduceContext(i,l)}storeNode(e,t,n,i=4,s=!1){if(0==e&&(!this.stack.length||this.stack[this.stack.length-1]0&&0==e.buffer[i-4]&&e.buffer[i-1]>-1){if(t==n)return;if(e.buffer[i-2]>=t)return void(e.buffer[i-2]=n)}}if(s&&this.pos!=n){let s=this.buffer.length;if(s>0&&0!=this.buffer[s-4]){let e=!1;for(let t=s;t>0&&this.buffer[t-2]>n;t-=4)if(this.buffer[t-1]>=0){e=!0;break}if(e)for(;s>0&&this.buffer[s-2]>n;)this.buffer[s]=this.buffer[s-4],this.buffer[s+1]=this.buffer[s-3],this.buffer[s+2]=this.buffer[s-2],this.buffer[s+3]=this.buffer[s-1],s-=4,i>4&&(i-=4)}this.buffer[s]=e,this.buffer[s+1]=t,this.buffer[s+2]=n,this.buffer[s+3]=i}else this.buffer.push(e,t,n,i)}shift(e,t,n,i){if(131072&e)this.pushState(65535&e,this.pos);else if(262144&e)this.pos=i,this.shiftContext(t,n),t<=this.p.parser.maxNode&&this.buffer.push(t,n,i,4);else{let s=e,{parser:r}=this.p;(i>this.pos||t<=r.maxNode)&&(this.pos=i,r.stateFlag(s,1)||(this.reducePos=i)),this.pushState(s,n),this.shiftContext(t,n),t<=r.maxNode&&this.buffer.push(t,n,i,4)}}apply(e,t,n,i){65536&e?this.reduce(e):this.shift(e,t,n,i)}useNode(e,t){let n=this.p.reused.length-1;(n<0||this.p.reused[n]!=e)&&(this.p.reused.push(e),n++);let i=this.pos;this.reducePos=this.pos=i+e.length,this.pushState(t,i),this.buffer.push(n,i,this.reducePos,-1),this.curContext&&this.updateContext(this.curContext.tracker.reuse(this.curContext.context,e,this,this.p.stream.reset(this.pos-e.length)))}split(){let e=this,t=e.buffer.length;for(;t>0&&e.buffer[t-2]>e.reducePos;)t-=4;let n=e.buffer.slice(t),i=e.bufferBase+t;for(;e&&i==e.bufferBase;)e=e.parent;return new s(this.p,this.stack.slice(),this.state,this.reducePos,this.pos,this.score,n,i,this.curContext,this.lookAhead,e)}recoverByDelete(e,t){let n=e<=this.p.parser.maxNode;n&&this.storeNode(e,this.pos,t,4),this.storeNode(0,this.pos,t,n?8:4),this.pos=this.reducePos=t,this.score-=190}canShift(e){for(let t=new o(this);;){let n=this.p.parser.stateSlot(t.state,4)||this.p.parser.hasAction(t.state,e);if(0==n)return!1;if(!(65536&n))return!0;t.reduce(n)}}recoverByInsert(e){if(this.stack.length>=300)return[];let t=this.p.parser.nextStates(this.state);if(t.length>8||this.stack.length>=120){let n=[];for(let i,s=0;s1&t&&e==i))||n.push(t[e],i)}t=n}let n=[];for(let e=0;e>19,i=65535&t,s=this.stack.length-3*n;if(s<0||e.getGoto(this.stack[s],i,!1)<0){let e=this.findForcedReduction();if(null==e)return!1;t=e}this.storeNode(0,this.pos,this.pos,4,!0),this.score-=100}return this.reducePos=this.pos,this.reduce(t),!0}findForcedReduction(){let{parser:e}=this.p,t=[],n=(i,s)=>{if(!t.includes(i))return t.push(i),e.allActions(i,(t=>{if(393216&t);else if(65536&t){let n=(t>>19)-s;if(n>1){let i=65535&t,s=this.stack.length-3*n;if(s>=0&&e.getGoto(this.stack[s],i,!1)>=0)return n<<19|65536|i}}else{let e=n(t,s+1);if(null!=e)return e}}))};return n(this.state,0)}forceAll(){for(;!this.p.parser.stateFlag(this.state,2);)if(!this.forceReduce()){this.storeNode(0,this.pos,this.pos,4,!0);break}return this}get deadEnd(){if(3!=this.stack.length)return!1;let{parser:e}=this.p;return 65535==e.data[e.stateSlot(this.state,1)]&&!e.stateSlot(this.state,4)}restart(){this.storeNode(0,this.pos,this.pos,4,!0),this.state=this.stack[0],this.stack.length=0}sameState(e){if(this.state!=e.state||this.stack.length!=e.stack.length)return!1;for(let t=0;tthis.lookAhead&&(this.emitLookAhead(),this.lookAhead=e)}close(){this.curContext&&this.curContext.tracker.strict&&this.emitContext(),this.lookAhead>0&&this.emitLookAhead()}}class r{constructor(e,t){this.tracker=e,this.context=t,this.hash=e.strict?e.hash(t):0}}class o{constructor(e){this.start=e,this.state=e.state,this.stack=e.stack,this.base=this.stack.length}reduce(e){let t=65535&e,n=e>>19;0==n?(this.stack==this.start.stack&&(this.stack=this.stack.slice()),this.stack.push(this.state,0,0),this.base+=3):this.base-=3*(n-1);let i=this.start.p.parser.getGoto(this.stack[this.base-3],t,!0);this.state=i}}class a{constructor(e,t,n){this.stack=e,this.pos=t,this.index=n,this.buffer=e.buffer,0==this.index&&this.maybeNext()}static 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u{constructor(e,t){this.input=e,this.ranges=t,this.chunk="",this.chunkOff=0,this.chunk2="",this.chunk2Pos=0,this.next=-1,this.token=c,this.rangeIndex=0,this.pos=this.chunkPos=t[0].from,this.range=t[0],this.end=t[t.length-1].to,this.readNext()}resolveOffset(e,t){let n=this.range,i=this.rangeIndex,s=this.pos+e;for(;sn.to:s>=n.to;){if(i==this.ranges.length-1)return null;let e=this.ranges[++i];s+=e.from-n.to,n=e}return s}clipPos(e){if(e>=this.range.from&&ee)return Math.max(e,t.from);return this.end}peek(e){let t,n,i=this.chunkOff+e;if(i>=0&&i=this.chunk2Pos&&ti.to&&(this.chunk2=this.chunk2.slice(0,i.to-t)),n=this.chunk2.charCodeAt(0)}}return t>=this.token.lookAhead&&(this.token.lookAhead=t+1),n}acceptToken(e,t=0){let n=t?this.resolveOffset(t,-1):this.pos;if(null==n||n=this.chunk2Pos&&this.posthis.range.to?e.slice(0,this.range.to-this.pos):e,this.chunkPos=this.pos,this.chunkOff=0}}readNext(){return 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this.chunk.slice(e-this.chunkPos,t-this.chunkPos);if(e>=this.chunk2Pos&&t<=this.chunk2Pos+this.chunk2.length)return this.chunk2.slice(e-this.chunk2Pos,t-this.chunk2Pos);if(e>=this.range.from&&t<=this.range.to)return this.input.read(e,t);let n="";for(let i of this.ranges){if(i.from>=t)break;i.to>e&&(n+=this.input.read(Math.max(i.from,e),Math.min(i.to,t)))}return n}}class f{constructor(e,t){this.data=e,this.id=t}token(e,t){let{parser:n}=t.p;m(this.data,e,t,this.id,n.data,n.tokenPrecTable)}}f.prototype.contextual=f.prototype.fallback=f.prototype.extend=!1;class d{constructor(e,t,n){this.precTable=t,this.elseToken=n,this.data="string"==typeof e?l(e):e}token(e,t){let n=e.pos,i=0;for(;;){let n=e.next<0,s=e.resolveOffset(1,1);if(m(this.data,e,t,0,this.data,this.precTable),e.token.value>-1)break;if(null==this.elseToken)return;if(n||i++,null==s)break;e.reset(s,e.token)}i&&(e.reset(n,e.token),e.acceptToken(this.elseToken,i))}}d.prototype.contextual=f.prototype.fallback=f.prototype.extend=!1;class p{constructor(e,t={}){this.token=e,this.contextual=!!t.contextual,this.fallback=!!t.fallback,this.extend=!!t.extend}}function m(e,t,n,i,s,r){let o=0,a=1<0){let n=e[i];if(l.allows(n)&&(-1==t.token.value||t.token.value==n||b(n,t.token.value,s,r))){t.acceptToken(n);break}}let i=t.next,h=0,c=e[o+2];if(!(t.next<0&&c>h&&65535==e[n+3*c-3])){for(;h>1,r=n+s+(s<<1),a=e[r],l=e[r+1]||65536;if(i=l)){o=e[r+2],t.advance();continue e}h=s+1}}break}o=e[n+3*c-1]}}function g(e,t,n){for(let i,s=t;65535!=(i=e[s]);s++)if(i==n)return s-t;return-1}function b(e,t,n,i){let s=g(n,i,t);return s<0||g(n,i,e)t)&&!s.type.isError)return n<0?Math.max(0,Math.min(s.to-1,t-25)):Math.min(e.length,Math.max(s.from+1,t+25));if(n<0?s.prevSibling():s.nextSibling())break;if(!s.parent())return n<0?0:e.length}}class w{constructor(e,t){this.fragments=e,this.nodeSet=t,this.i=0,this.fragment=null,this.safeFrom=-1,this.safeTo=-1,this.trees=[],this.start=[],this.index=[],this.nextFragment()}nextFragment(){let e=this.fragment=this.i==this.fragments.length?null:this.fragments[this.i++];if(e){for(this.safeFrom=e.openStart?x(e.tree,e.from+e.offset,1)-e.offset:e.from,this.safeTo=e.openEnd?x(e.tree,e.to+e.offset,-1)-e.offset:e.to;this.trees.length;)this.trees.pop(),this.start.pop(),this.index.pop();this.trees.push(e.tree),this.start.push(-e.offset),this.index.push(0),this.nextStart=this.safeFrom}else this.nextStart=1e9}nodeAt(e){if(ee)return this.nextStart=o,null;if(r instanceof i.PH){if(o==e){if(o=Math.max(this.safeFrom,e)&&(this.trees.push(r),this.start.push(o),this.index.push(0))}else this.index[t]++,this.nextStart=o+r.length}}}class k{constructor(e,t){this.stream=t,this.tokens=[],this.mainToken=null,this.actions=[],this.tokens=e.tokenizers.map((e=>new h))}getActions(e){let t=0,n=null,{parser:i}=e.p,{tokenizers:s}=i,r=i.stateSlot(e.state,3),o=e.curContext?e.curContext.hash:0,a=0;for(let i=0;ih.end+25&&(a=Math.max(h.lookAhead,a)),0!=h.value)){let i=t;if(h.extended>-1&&(t=this.addActions(e,h.extended,h.end,t)),t=this.addActions(e,h.value,h.end,t),!l.extend&&(n=h,t>i))break}}for(;this.actions.length>t;)this.actions.pop();return a&&e.setLookAhead(a),n||e.pos!=this.stream.end||(n=new h,n.value=e.p.parser.eofTerm,n.start=n.end=e.pos,t=this.addActions(e,n.value,n.end,t)),this.mainToken=n,this.actions}getMainToken(e){if(this.mainToken)return this.mainToken;let t=new h,{pos:n,p:i}=e;return t.start=n,t.end=Math.min(n+1,i.stream.end),t.value=n==i.stream.end?i.parser.eofTerm:0,t}updateCachedToken(e,t,n){let i=this.stream.clipPos(n.pos);if(t.token(this.stream.reset(i,e),n),e.value>-1){let{parser:t}=n.p;for(let i=0;i=0&&n.p.parser.dialect.allows(s>>1)){1&s?e.extended=s>>1:e.value=s>>1;break}}}else e.value=0,e.end=this.stream.clipPos(i+1)}putAction(e,t,n,i){for(let t=0;t4*e.bufferLength?new w(n,e.nodeSet):null}get parsedPos(){return this.minStackPos}advance(){let e,t,n=this.stacks,i=this.minStackPos,s=this.stacks=[];if(this.bigReductionCount>300&&1==n.length){let[e]=n;for(;e.forceReduce()&&e.stack.length&&e.stack[e.stack.length-2]>=this.lastBigReductionStart;);this.bigReductionCount=this.lastBigReductionSize=0}for(let r=0;ri)s.push(o);else{if(this.advanceStack(o,s,n))continue;{e||(e=[],t=[]),e.push(o);let n=this.tokens.getMainToken(o);t.push(n.value,n.end)}}break}}if(!s.length){let t=e&&function(e){let t=null;for(let n of e){let e=n.p.stoppedAt;(n.pos==n.p.stream.end||null!=e&&n.pos>e)&&n.p.parser.stateFlag(n.state,2)&&(!t||t.scorethis.stoppedAt?e[0]:this.runRecovery(e,t,s);if(n)return y&&console.log("Force-finish "+this.stackID(n)),this.stackToTree(n.forceAll())}if(this.recovering){let 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MacroName LineComment BlockComment PreprocDirective #include String EscapeSequence SystemLibString Identifier ArgumentList ( ConditionalExpression AssignmentExpression CallExpression PrimitiveType FieldExpression FieldIdentifier DestructorName TemplateMethod ScopedFieldIdentifier NamespaceIdentifier TemplateType TypeIdentifier ScopedTypeIdentifier ScopedNamespaceIdentifier :: NamespaceIdentifier TypeIdentifier TemplateArgumentList < TypeDescriptor const volatile restrict _Atomic mutable constexpr constinit consteval StructSpecifier struct MsDeclspecModifier __declspec ) Attribute AttributeName Identifier AttributeArgs { } [ ] UpdateOp ArithOp ArithOp ArithOp LogicOp BitOp BitOp BitOp CompareOp CompareOp CompareOp > CompareOp BitOp UpdateOp , Number CharLiteral AttributeArgs VirtualSpecifier BaseClassClause Access virtual FieldDeclarationList FieldDeclaration extern static register inline thread_local AttributeSpecifier __attribute__ PointerDeclarator MsBasedModifier __based MsPointerModifier FunctionDeclarator ParameterList ParameterDeclaration PointerDeclarator FunctionDeclarator Noexcept noexcept RequiresClause requires True False ParenthesizedExpression CommaExpression LambdaExpression LambdaCaptureSpecifier TemplateParameterList OptionalParameterDeclaration TypeParameterDeclaration typename class VariadicParameterDeclaration VariadicDeclarator ReferenceDeclarator OptionalTypeParameterDeclaration VariadicTypeParameterDeclaration TemplateTemplateParameterDeclaration template AbstractFunctionDeclarator AbstractPointerDeclarator AbstractArrayDeclarator AbstractParenthesizedDeclarator AbstractReferenceDeclarator ThrowSpecifier throw TrailingReturnType CompoundStatement FunctionDefinition MsCallModifier TryStatement try CatchClause catch LinkageSpecification Declaration InitDeclarator InitializerList InitializerPair SubscriptDesignator FieldDesignator ExportDeclaration export ImportDeclaration import ModuleName PartitionName HeaderName CaseStatement case default LabeledStatement StatementIdentifier ExpressionStatement IfStatement if ConditionClause Declaration else SwitchStatement switch DoStatement do while WhileStatement ForStatement for ReturnStatement return BreakStatement break ContinueStatement continue GotoStatement goto CoReturnStatement co_return CoYieldStatement co_yield AttributeStatement ForRangeLoop AliasDeclaration using TypeDefinition typedef PointerDeclarator FunctionDeclarator ArrayDeclarator ParenthesizedDeclarator ThrowStatement NamespaceDefinition namespace ScopedIdentifier Identifier OperatorName operator ArithOp BitOp CompareOp LogicOp new delete co_await ConceptDefinition concept UsingDeclaration enum StaticAssertDeclaration static_assert ConcatenatedString TemplateDeclaration FriendDeclaration friend union FunctionDefinition ExplicitFunctionSpecifier explicit FieldInitializerList FieldInitializer DefaultMethodClause DeleteMethodClause FunctionDefinition OperatorCast operator TemplateInstantiation FunctionDefinition FunctionDefinition Declaration ModuleDeclaration module RequiresExpression RequirementList SimpleRequirement TypeRequirement CompoundRequirement ReturnTypeRequirement ConstraintConjuction LogicOp ConstraintDisjunction LogicOp ArrayDeclarator ParenthesizedDeclarator ReferenceDeclarator TemplateFunction OperatorName StructuredBindingDeclarator ArrayDeclarator ParenthesizedDeclarator ReferenceDeclarator BitfieldClause FunctionDefinition FunctionDefinition Declaration FunctionDefinition Declaration AccessSpecifier UnionSpecifier ClassSpecifier EnumSpecifier SizedTypeSpecifier TypeSize EnumeratorList Enumerator DependentType Decltype decltype auto PlaceholderTypeSpecifier ParameterPackExpansion ParameterPackExpansion FieldIdentifier PointerExpression SubscriptExpression BinaryExpression ArithOp LogicOp LogicOp BitOp UnaryExpression LogicOp BitOp UpdateExpression CastExpression SizeofExpression sizeof CoAwaitExpression CompoundLiteralExpression NULL NewExpression new NewDeclarator DeleteExpression delete ParameterPackExpansion nullptr this UserDefinedLiteral ParamPack #define PreprocArg #if #ifdef #ifndef #else #endif #elif PreprocDirectiveName Macro 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If you have an idea or proposal for a new -tutorial, please [open an issue](https://github.com/numpy/numpy-tutorials/issues) -with an outline. - -Don’t worry if English is not your first language, or if you can only come up -with a rough draft. Open source is a community effort. Do your best – we’ll help -fix issues. - -Images and real-life data make text more engaging and powerful, but be sure what -you use is appropriately licensed and available. Here again, even a rough idea -for artwork can be polished by others. - -## Building the website - -```{note} -The NumPy tutorials are powered by [`jupyter-book`][jb-docs] and the -[`MyST` document engine][mystmd]. -See the linked documentation for further details. -``` - -[jb-docs]: https://jupyterbook.org/stable/ -[mystmd]: https://mystmd.org/ - -### Quickstart - -Set up a development environment with the dependencies listed in -`requirements.txt`. -For example, using the built-in [`venv`][venv] module: - -```bash -python -m venv np-tutorials -source np-tutorials/bin/activate -python -m pip install -r requirements.txt -``` - -[venv]: https://docs.python.org/3/library/venv.html - -The site can then be built with: - -```bash -jupyter-book start --execute -``` - -This will execute all the notebooks and start a web server to view the rendered -content locally. -View the rendered site by opening the ``localhost:30xy`` in your preferred browser (the exact port number will be printed in your terminal). - -## Adding your own tutorials - -If you have your own tutorial in the form of a Jupyter notebook (an `.ipynb` -file) and you'd like to try add it out to the repository, follow the steps below. - -### Create an issue - -Go to and create a new issue -with your proposal. -Give as much detail as you can about what kind of content you would like to -write (tutorial, how-to) and what you plan to cover. -We will try to respond as quickly as possible with comments, if applicable. - -### Check out our suggested template - -You can use this template to make your content consistent with our existing -tutorials. - -### Open a pull request - -For more information about GitHub and its workflow, you can see -[this document][collab]. - -[collab]: https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests diff --git a/LICENSE.txt b/LICENSE.txt deleted file mode 100644 index 014d51c9..00000000 --- a/LICENSE.txt +++ /dev/null @@ -1,30 +0,0 @@ -Copyright (c) 2005-2023, NumPy Developers. -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted provided that the following conditions are -met: - - * Redistributions of source code must retain the above copyright - notice, this list of conditions and the following disclaimer. - - * Redistributions in binary form must reproduce the above - copyright notice, this list of conditions and the following - disclaimer in the documentation and/or other materials provided - with the distribution. - - * Neither the name of the NumPy Developers nor the names of any - contributors may be used to endorse or promote products derived - from this software without specific prior written permission. - -THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS -"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT -LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR -A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT -OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, -SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT -LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, -DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY -THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT -(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE -OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/README.md b/README.md deleted file mode 100644 index 5109e2c9..00000000 --- a/README.md +++ /dev/null @@ -1,46 +0,0 @@ -# NumPy tutorials - -_For the rendered tutorials, see https://numpy.org/numpy-tutorials/._ - -The goal of this repository is to provide high-quality resources by the -NumPy project, both for self-learning and for teaching classes with. If you're -interested in adding your own content, check the [Contributing](#contributing) -section. This set of tutorials and educational materials is not a part of the -NumPy source tree. - -To download a local copy of the `.ipynb` files, you can either -[clone this repository](https://docs.github.com/en/github/creating-cloning-and-archiving-repositories/cloning-a-repository) -or navigate to any of the documents listed below and download it individually. - -## Content - -0. [Learn to write a NumPy tutorial](content/tutorial-style-guide.md): our style guide for writing tutorials. -1. [Tutorial: Linear algebra on n-dimensional arrays](content/tutorial-svd.md) -2. [Tutorial: Determining Moore's Law with real data in NumPy](content/mooreslaw-tutorial.md) -3. [Tutorial: Saving and sharing your NumPy arrays](content/save-load-arrays.md) -4. [Tutorial: NumPy deep learning on MNIST from scratch](content/tutorial-deep-learning-on-mnist.md) -5. [Tutorial: X-ray image processing](content/tutorial-x-ray-image-processing.md) -6. [Tutorial: Masked Arrays](content/tutorial-ma.md) -7. [Tutorial: Static Equilibrium](content/tutorial-static_equilibrium.md) -8. [Tutorial: Plotting Fractals](content/tutorial-plotting-fractals.ipynb) -9. [Tutorial: Analysing the impact of the lockdown on air quality in Delhi, India](content/tutorial-air-quality-analysis.md) - -## Translations - -While we don't have the capacity to translate and maintain translated versions -of these tutorials, you are free to use and translate them to other languages. - -## Useful links and resources - -The following links may be useful: - -- [NumPy Code of Conduct](https://numpy.org/doc/stable/dev/conduct/code_of_conduct.html) -- [Main NumPy documentation](https://numpy.org/doc/stable/) -- [NumPy documentation team meeting notes](https://hackmd.io/oB_boakvRqKR-_2jRV-Qjg?both) -- [NEP 44 - Restructuring the NumPy documentation](https://numpy.org/neps/nep-0044-restructuring-numpy-docs.html) -- [Blog post - Documentation as a way to build Community](https://labs.quansight.org/blog/2020/03/documentation-as-a-way-to-build-community/) - -Note that regular documentation issues for NumPy can be found in the [main NumPy -repository](https://github.com/numpy/numpy/issues) (see the `Documentation` -labels there). - diff --git a/content/_static/01-mooreslaw-tutorial-intro.png b/build/01-mooreslaw-tutoria-68d0ad466c300d347c517c09cd29d0d9.png similarity index 100% rename from content/_static/01-mooreslaw-tutorial-intro.png rename to build/01-mooreslaw-tutoria-68d0ad466c300d347c517c09cd29d0d9.png diff --git a/build/0731d9ff394c572db56e83187ed9a359.png b/build/0731d9ff394c572db56e83187ed9a359.png new file mode 100644 index 00000000..a0de37bd Binary files /dev/null and b/build/0731d9ff394c572db56e83187ed9a359.png differ diff --git a/build/097761922f88943bda1d623b56078c43.png b/build/097761922f88943bda1d623b56078c43.png new file mode 100644 index 00000000..98aa9e0e Binary files /dev/null and b/build/097761922f88943bda1d623b56078c43.png differ diff --git a/build/0af5964dc0b4e30f177f4bb98384bc83.png b/build/0af5964dc0b4e30f177f4bb98384bc83.png new file mode 100644 index 00000000..436ff889 Binary files /dev/null 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1rem [body-inset-start] minmax(8ch,10ch) [middle-start] minmax(8ch,10ch) [gutter-left-end] minmax(8ch,10ch) minmax(8ch,10ch) [gutter-right-start] minmax(8ch,10ch) [middle-end] minmax(8ch,10ch) [body-inset-end] 1rem [body-end gutter-right-end] 3rem [body-outset-end] minmax(5rem,13rem) [page-inset-end] 3rem [page-end] 1fr [screen-inset-end] .25rem [screen-end]}}@media (min-width:1280px){.article-grid{grid-template-columns:[screen-start] .25rem [screen-inset-start] 1fr [page-start] 3rem [page-inset-start] minmax(4rem,9rem) [body-outset-start] 3rem [body-start gutter-left-start] 1rem [body-inset-start] minmax(8ch,10ch) [middle-start] minmax(8ch,10ch) [gutter-left-end] minmax(8ch,10ch) minmax(8ch,10ch) [gutter-right-start] minmax(8ch,10ch) [middle-end] minmax(8ch,10ch) [body-inset-end] 1rem [body-end gutter-right-end] 3rem [body-outset-end] minmax(5rem,13rem) [page-inset-end] 3rem [page-end] 1fr [screen-inset-end] .25rem [screen-end]}}@media (min-width:1536px){.article-grid{grid-template-columns:[screen-start] .5rem [screen-inset-start] 1fr [page-start] 3rem [page-inset-start] minmax(4rem,9rem) [body-outset-start] 3rem [body-start gutter-left-start] 1rem [body-inset-start] minmax(8ch,10ch) [middle-start] minmax(8ch,10ch) [gutter-left-end] minmax(8ch,10ch) minmax(8ch,10ch) [gutter-right-start] minmax(8ch,10ch) [middle-end] minmax(8ch,10ch) [body-inset-end] 1rem [body-end gutter-right-end] 3rem [body-outset-end] minmax(5rem,13rem) [page-inset-end] 3rem [page-end] 1fr [screen-inset-end] .5rem [screen-end]}}.article-left-grid{display:grid;grid-template-columns:[screen-start screen-inset-start] .5rem [page-start page-inset-start body-outset-start body-start gutter-left-start body-inset-start middle-start] 1fr 1fr [gutter-left-end] 1fr 1fr [gutter-right-start] 1fr 1fr [middle-end body-inset-end body-end gutter-right-end body-outset-end page-inset-end page-end] .5rem [screen-inset-end screen-end];align-content:flex-start}@media (min-width:768px){.article-left-grid{grid-template-columns:[screen-start] .5rem [screen-inset-start page-start page-inset-start body-outset-start] 1rem [body-start gutter-left-start] 1rem [body-inset-start] minmax(5ch,15ch) [middle-start] minmax(5ch,15ch) [gutter-left-end] minmax(5ch,15ch) minmax(5ch,15ch) [gutter-right-start] minmax(5ch,15ch) [middle-end] minmax(5ch,15ch) [body-inset-end] 1rem [body-end gutter-right-end body-outset-end page-inset-end] 1rem [page-end screen-inset-end] .5rem [screen-end]}}@media (min-width:1024px){.article-left-grid{grid-template-columns:[screen-start] .5rem [screen-inset-start page-start page-inset-start body-outset-start] 1rem [body-start gutter-left-start] 1rem [body-inset-start] minmax(5ch,12ch) [middle-start] minmax(5ch,12ch) [gutter-left-end] minmax(5ch,12ch) minmax(5ch,12ch) [gutter-right-start] minmax(5ch,12ch) [middle-end] minmax(5ch,12ch) [body-inset-end] 1rem [body-end] 1fr [gutter-right-end] 1rem [body-outset-end] minmax(10rem,18rem) [page-inset-end] 1rem [page-end] 1fr [screen-inset-end] .5rem [screen-end]}}@media (min-width:1280px){.article-left-grid{grid-template-columns:[screen-start] .5rem [screen-inset-start page-start page-inset-start body-outset-start] 3rem [body-start gutter-left-start] 1rem [body-inset-start] minmax(8ch,12ch) [middle-start] minmax(8ch,12ch) [gutter-left-end] minmax(8ch,12ch) minmax(8ch,12ch) [gutter-right-start] minmax(8ch,12ch) [middle-end] minmax(8ch,12ch) [body-inset-end] 1rem [body-end] 1fr [gutter-right-end] 1rem [body-outset-end] minmax(10rem,18rem) [page-inset-end] 1rem [page-end] 1fr [screen-inset-end] .5rem [screen-end]}}@media (min-width:1536px){.article-left-grid{grid-template-columns:[screen-start] .5rem [screen-inset-start] 1fr [page-start page-inset-start body-outset-start] 3rem [body-start gutter-left-start] 1rem [body-inset-start] minmax(8ch,12ch) [middle-start] minmax(8ch,12ch) [gutter-left-end] minmax(8ch,12ch) minmax(8ch,12ch) [gutter-right-start] minmax(8ch,12ch) [middle-end] minmax(8ch,12ch) [body-inset-end] 1rem [body-end] 1fr [gutter-right-end] 1rem [body-outset-end] minmax(10rem,18rem) [page-inset-end] 1rem [page-end] 1fr [screen-inset-end] .5rem [screen-end]}}.article-center-grid{display:grid;grid-template-columns:[screen-start screen-inset-start] .5rem [page-start page-inset-start body-outset-start body-start gutter-left-start body-inset-start middle-start] 1fr 1fr [gutter-left-end] 1fr 1fr [gutter-right-start] 1fr 1fr [middle-end body-inset-end body-end gutter-right-end body-outset-end page-inset-end page-end] .5rem [screen-inset-end screen-end];align-content:flex-start}@media (min-width:768px){.article-center-grid{grid-template-columns:[screen-start] .25rem [screen-inset-start page-start page-inset-start body-outset-start] 1fr [body-start gutter-left-start] 1rem [body-inset-start] minmax(2ch,10ch) [middle-start] minmax(2ch,10ch) [gutter-left-end] minmax(2ch,10ch) minmax(2ch,10ch) [gutter-right-start] minmax(2ch,10ch) [middle-end] minmax(2ch,10ch) [body-inset-end] 1rem [body-end gutter-right-end] 1fr [body-outset-end page-inset-end page-end screen-inset-end] .25rem [screen-end]}}@media (min-width:1024px){.article-center-grid{grid-template-columns:[screen-start] .5rem [screen-inset-start page-start] 2rem [page-inset-start] 2fr [body-outset-start gutter-outset-left-start] 1rem [body-start gutter-left-start] 2rem [body-inset-start gutter-left-start] minmax(8ch,10ch) [gutter-left-end middle-start] minmax(8ch,10ch) minmax(8ch,10ch) [] minmax(8ch,10ch) [] minmax(8ch,10ch) [middle-end gutter-right-start gutter-page-right-start] minmax(8ch,10ch) [body-inset-end gutter-right-end] 2rem [body-end] 1rem [body-outset-end] 2fr [page-inset-end] 2rem [page-end screen-inset-end] .5rem [screen-end]}}@media (min-width:1280px){.article-center-grid{grid-template-columns:[screen-start] .25rem [screen-inset-start] 1fr [page-start] 3rem [page-inset-start] minmax(4rem,9rem) [body-outset-start] 3rem [body-start gutter-left-start] 1rem [body-inset-start] minmax(8ch,10ch) [middle-start] minmax(8ch,10ch) [gutter-left-end] minmax(8ch,10ch) minmax(8ch,10ch) [gutter-right-start] minmax(8ch,10ch) [middle-end] minmax(8ch,10ch) [body-inset-end] 1rem [body-end gutter-right-end] 3rem [body-outset-end] minmax(4rem,9rem) [page-inset-end] 3rem [page-end] 1fr [screen-inset-end] .25rem [screen-end]}}@media (min-width:1536px){.article-center-grid{grid-template-columns:[screen-start] .5rem [screen-inset-start] 1fr [page-start] 3rem [page-inset-start] minmax(4rem,9rem) [body-outset-start] 3rem [body-start gutter-left-start] 1rem [body-inset-start] minmax(8ch,10ch) [middle-start] minmax(8ch,10ch) [gutter-left-end] minmax(8ch,10ch) minmax(8ch,10ch) [gutter-right-start] minmax(8ch,10ch) [middle-end] minmax(8ch,10ch) [body-inset-end] 1rem [body-end gutter-right-end] 3rem [body-outset-end] minmax(4rem,9rem) [page-inset-end] 3rem [page-end] 1fr [screen-inset-end] .5rem [screen-end]}}.article-center-grid>*,.article-grid>*,.article-left-grid>*{grid-column:body;margin-top:0!important}.grid-gap{gap:.25rem}@media (min-width:768px){.grid-gap{gap:.5rem}}@media (min-width:1280px){.grid-gap{gap:.75rem}}@media (min-width:1536px){.grid-gap{gap:1rem}}.subgrid-gap{-moz-column-gap:.25rem;column-gap:.25rem}@media (min-width:768px){.subgrid-gap{-moz-column-gap:.5rem;column-gap:.5rem}}@media (min-width:1280px){.subgrid-gap{-moz-column-gap:.75rem;column-gap:.75rem}}@media (min-width:1536px){.subgrid-gap{-moz-column-gap:1rem;column-gap:1rem}}.col-margin-left{grid-column:body}@media (min-width:1280px){.col-margin-left{grid-column:page/body-start}}.col-margin,.col-margin-right{grid-column:body}@media (min-width:1024px){.col-margin,.col-margin-right{grid-column:body-end/page-end}}.col-margin-right-inset{grid-column:body}@media (min-width:1024px){.col-margin-right-inset{grid-column:body-end/page-inset}}.col-gutter-page-right{grid-column:body}@media (min-width:768px){.col-gutter-page-right{grid-column:gutter-right/body-outset}}@media (min-width:1024px){.col-gutter-page-right{grid-column:middle-end/page}}.col-gutter-page-left{grid-column:body}@media (min-width:768px){.col-gutter-page-left{grid-column:body-outset/gutter-left}}@media (min-width:1024px){.col-gutter-page-left{grid-column:page/middle-start}}.col-body-inset-right{grid-column:body/gutter-right-start}@media (min-width:1024px){.col-body-inset-right{grid-column:body/middle}}.col-body-inset-left{grid-column:gutter-left-end/body}@media (min-width:1024px){.col-body-inset-left{grid-column:middle/body}}.col-page-middle{grid-column:body}@media (min-width:1024px){.col-page-middle{grid-column:middle}}.shaded{margin-top:1.25rem;margin-bottom:1.25rem;--tw-bg-opacity:1;background-color:rgb(241 245 249/var(--tw-bg-opacity,1));padding-top:1.25rem}.shaded:is(.dark *){--tw-bg-opacity:1;background-color:rgb(30 41 59/var(--tw-bg-opacity,1))}.framed{margin-top:1.25rem;margin-bottom:1.25rem;border-width:1px;--tw-bg-opacity:1;background-color:rgb(248 250 252/var(--tw-bg-opacity,1));padding:1.25rem;--tw-shadow:0 1px 3px 0 rgba(0,0,0,.1),0 1px 2px -1px rgba(0,0,0,.1);--tw-shadow-colored:0 1px 3px 0 var(--tw-shadow-color),0 1px 2px -1px var(--tw-shadow-color);box-shadow:var(--tw-ring-offset-shadow,0 0 #0000),var(--tw-ring-shadow,0 0 #0000),var(--tw-shadow)}.framed:is(.dark *){--tw-bg-opacity:1;background-color:rgb(30 41 59/var(--tw-bg-opacity,1))}.shaded-children>*{--tw-bg-opacity:1;background-color:rgb(248 250 252/var(--tw-bg-opacity,1));padding:.5rem}.shaded-children>:is(.dark *){--tw-bg-opacity:1;background-color:rgb(30 41 59/var(--tw-bg-opacity,1))}.rounded-children>*{border-radius:.25rem}.task-list-item{list-style-type:none}.task-list-item-checkbox{margin-left:-29px;margin-right:14px;height:1rem;width:1rem;--tw-translate-y:1px;transform:translate(var(--tw-translate-x),var(--tw-translate-y)) rotate(var(--tw-rotate)) skew(var(--tw-skew-x)) skewY(var(--tw-skew-y)) scaleX(var(--tw-scale-x)) scaleY(var(--tw-scale-y));border-radius:.25rem;--tw-border-opacity:1;border-color:rgb(209 213 219/var(--tw-border-opacity,1));--tw-bg-opacity:1;background-color:rgb(243 244 246/var(--tw-bg-opacity,1));--tw-text-opacity:1;color:rgb(37 99 235/var(--tw-text-opacity,1))}.task-list-item-checkbox:focus{--tw-border-opacity:1;border-color:rgb(59 130 246/var(--tw-border-opacity,1))}.task-list-item-checkbox:is(.dark *){--tw-border-opacity:1;border-color:rgb(75 85 99/var(--tw-border-opacity,1));--tw-bg-opacity:1;background-color:rgb(55 65 81/var(--tw-bg-opacity,1));--tw-ring-offset-color:#1f2937}.task-list-item-checkbox:focus:is(.dark *){--tw-border-opacity:1;border-color:rgb(37 99 235/var(--tw-border-opacity,1))}.prose .task-list-item>p{margin-top:0;margin-bottom:0;display:inline}#footnotes p{margin:.25rem}:where(footer).article-center-grid>*,:where(footer).article-grid>*,:where(footer).article-left-grid>*{grid-column:page}.\!container{width:100%!important}.container{width:100%}@media (min-width:640px){.\!container{max-width:640px!important}.container{max-width:640px}}@media (min-width:768px){.\!container{max-width:768px!important}.container{max-width:768px}}@media (min-width:1024px){.\!container{max-width:1024px!important}.container{max-width:1024px}}@media (min-width:1280px){.\!container{max-width:1280px!important}.container{max-width:1280px}}@media (min-width:1536px){.\!container{max-width:1536px!important}.container{max-width:1536px}}.prose{color:var(--tw-prose-body);max-width:65ch}.prose :where(p):not(:where([class~=not-prose],[class~=not-prose] *)){margin-top:1.25em;margin-bottom:1.25em}.prose :where([class~=lead]):not(:where([class~=not-prose],[class~=not-prose] *)){color:var(--tw-prose-lead);font-size:1.25em;line-height:1.6;margin-top:1.2em;margin-bottom:1.2em}.prose :where(a):not(:where([class~=not-prose],[class~=not-prose] *)){color:var(--tw-prose-links);text-decoration:underline;font-weight:500}.prose :where(strong):not(:where([class~=not-prose],[class~=not-prose] *)){color:var(--tw-prose-bold);font-weight:600}.prose :where(a strong):not(:where([class~=not-prose],[class~=not-prose] *)){color:inherit}.prose :where(blockquote strong):not(:where([class~=not-prose],[class~=not-prose] *)){color:inherit}.prose :where(thead th strong):not(:where([class~=not-prose],[class~=not-prose] *)){color:inherit}.prose :where(ol):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:decimal;margin-top:1.25em;margin-bottom:1.25em;padding-inline-start:1.625em}.prose :where(ol[type=A]):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:upper-alpha}.prose :where(ol[type=a]):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:lower-alpha}.prose :where(ol[type=A s]):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:upper-alpha}.prose :where(ol[type=a s]):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:lower-alpha}.prose :where(ol[type=I]):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:upper-roman}.prose :where(ol[type=i]):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:lower-roman}.prose :where(ol[type=I s]):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:upper-roman}.prose :where(ol[type=i s]):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:lower-roman}.prose :where(ol[type="1"]):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:decimal}.prose :where(ul):not(:where([class~=not-prose],[class~=not-prose] *)){list-style-type:disc;margin-top:1.25em;margin-bottom:1.25em;padding-inline-start:1.625em}.prose :where(ol>li):not(:where([class~=not-prose],[class~=not-prose] *))::marker{font-weight:400;color:var(--tw-prose-counters)}.prose :where(ul>li):not(:where([class~=not-prose],[class~=not-prose] *))::marker{color:var(--tw-prose-bullets)}.prose :where(dt):not(:where([class~=not-prose],[class~=not-prose] *)){color:var(--tw-prose-headings);font-weight:600;margin-top:1.25em}.prose :where(hr):not(:where([class~=not-prose],[class~=not-prose] *)){border-color:var(--tw-prose-hr);border-top-width:1px;margin-top:3em;margin-bottom:3em}.prose :where(blockquote):not(:where([class~=not-prose],[class~=not-prose] *)){font-weight:500;font-style:italic;color:var(--tw-prose-quotes);border-inline-start-width:.25rem;border-inline-start-color:var(--tw-prose-quote-borders);quotes:"\201c""\201d""\2018""\2019";margin-top:1.6em;margin-bottom:1.6em;padding-inline-start:1em}.prose :where(blockquote p:first-of-type):not(:where([class~=not-prose],[class~=not-prose] *)):before{content:none}.prose :where(blockquote p:last-of-type):not(:where([class~=not-prose],[class~=not-prose] *)):after{content:close-quote}.prose :where(h1):not(:where([class~=not-prose],[class~=not-prose] *)){color:var(--tw-prose-headings);font-weight:800;font-size:2.25em;margin-top:0;margin-bottom:.8888889em;line-height:1.1111111}.prose :where(h1 strong):not(:where([class~=not-prose],[class~=not-prose] *)){font-weight:900;color:inherit}.prose :where(h2):not(:where([class~=not-prose],[class~=not-prose] *)){color:var(--tw-prose-headings);font-weight:700;font-size:1.5em;margin-top:2em;margin-bottom:1em;line-height:1.3333333}.prose :where(h2 strong):not(:where([class~=not-prose],[class~=not-prose] *)){font-weight:800;color:inherit}.prose :where(h3):not(:where([class~=not-prose],[class~=not-prose] *)){color:var(--tw-prose-headings);font-weight:600;font-size:1.25em;margin-top:1.6em;margin-bottom:.6em;line-height:1.6}.prose :where(h3 strong):not(:where([class~=not-prose],[class~=not-prose] *)){font-weight:700;color:inherit}.prose :where(h4):not(:where([class~=not-prose],[class~=not-prose] *)){color:var(--tw-prose-headings);font-weight:600;margin-top:1.5em;margin-bottom:.5em;line-height:1.5}.prose :where(h4 strong):not(:where([class~=not-prose],[class~=not-prose] *)){font-weight:700;color:inherit}.prose :where(img):not(:where([class~=not-prose],[class~=not-prose] *)){margin-top:2em;margin-bottom:2em}.prose :where(picture):not(:where([class~=not-prose],[class~=not-prose] *)){display:block;margin-top:2em;margin-bottom:2em}.prose :where(video):not(:where([class~=not-prose],[class~=not-prose] *)){margin-top:2em;margin-bottom:2em}.prose :where(kbd):not(:where([class~=not-prose],[class~=not-prose] *)){font-weight:500;font-family:inherit;color:var(--tw-prose-kbd);box-shadow:0 0 0 1px var(--tw-prose-kbd-shadows),0 3px 0 var(--tw-prose-kbd-shadows);font-size:.875em;border-radius:.3125rem;padding-top:.1875em;padding-inline-end:.375em;padding-bottom:.1875em;padding-inline-start:.375em}.prose 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+import{a}from"/numpy-tutorials/build/_shared/chunk-NC6A5YVW.js";import"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";export default a(); diff --git a/build/_shared/al-GIFXZXG4.js b/build/_shared/al-GIFXZXG4.js new file mode 100644 index 00000000..3b3e62ce --- /dev/null +++ b/build/_shared/al-GIFXZXG4.js @@ -0,0 +1 @@ +import{a}from"/numpy-tutorials/build/_shared/chunk-YVYPYS6Q.js";import"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";export default a(); diff --git a/build/_shared/angelscript-X3F5DTJS.js b/build/_shared/angelscript-X3F5DTJS.js new file mode 100644 index 00000000..8c91f308 --- /dev/null +++ b/build/_shared/angelscript-X3F5DTJS.js @@ -0,0 +1 @@ +import{c as t}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var c=t((r,s)=>{function l(e){var 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b/build/_shared/antlr4-ANMXYIJ5.js new file mode 100644 index 00000000..705ef6dc --- /dev/null +++ b/build/_shared/antlr4-ANMXYIJ5.js @@ -0,0 +1 @@ +import{a}from"/numpy-tutorials/build/_shared/chunk-PL7JLSOT.js";import"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";export default a(); diff --git a/build/_shared/apache-Q7NGZMNH.js b/build/_shared/apache-Q7NGZMNH.js new file mode 100644 index 00000000..ef8f3876 --- /dev/null +++ b/build/_shared/apache-Q7NGZMNH.js @@ -0,0 +1 @@ +import{c as t}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var c=t((l,a)=>{function i(e){let s={className:"number",begin:/[$%]\d+/},r={className:"number",begin:/\d+/},n={className:"number",begin:/\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}(:\d{1,5})?/},o={className:"number",begin:/:\d{1,5}/};return{name:"Apache 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this.ldeviceOrgY},o.prototype.setDeviceOrgY=function(n){this.ldeviceOrgY=n},o.prototype.getDeviceExtX=function(){return this.ldeviceExtX},o.prototype.setDeviceExtX=function(n){this.ldeviceExtX=n},o.prototype.getDeviceExtY=function(){return this.ldeviceExtY},o.prototype.setDeviceExtY=function(n){this.ldeviceExtY=n},o.prototype.transformX=function(n){var e=0,a=this.lworldExtX;return a!=0&&(e=this.ldeviceOrgX+(n-this.lworldOrgX)*this.ldeviceExtX/a),e},o.prototype.transformY=function(n){var e=0,a=this.lworldExtY;return a!=0&&(e=this.ldeviceOrgY+(n-this.lworldOrgY)*this.ldeviceExtY/a),e},o.prototype.inverseTransformX=function(n){var e=0,a=this.ldeviceExtX;return a!=0&&(e=this.lworldOrgX+(n-this.ldeviceOrgX)*this.lworldExtX/a),e},o.prototype.inverseTransformY=function(n){var e=0,a=this.ldeviceExtY;return a!=0&&(e=this.lworldOrgY+(n-this.ldeviceOrgY)*this.lworldExtY/a),e},o.prototype.inverseTransformPoint=function(n){var e=new u(this.inverseTransformX(n.x),this.inverseTransformY(n.y));return e},m.exports=o},function(m,w,N){"use strict";function u(i){if(Array.isArray(i)){for(var r=0,h=Array(i.length);rn.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*n.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(i-n.ADAPTATION_LOWER_NODE_LIMIT)/(n.ADAPTATION_UPPER_NODE_LIMIT-n.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-n.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=n.MAX_NODE_DISPLACEMENT_INCREMENTAL):(i>n.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(n.COOLING_ADAPTATION_FACTOR,1-(i-n.ADAPTATION_LOWER_NODE_LIMIT)/(n.ADAPTATION_UPPER_NODE_LIMIT-n.ADAPTATION_LOWER_NODE_LIMIT)*(1-n.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=n.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(this.getAllNodes().length*5,this.maxIterations),this.displacementThresholdPerNode=3*n.DEFAULT_EDGE_LENGTH/100,this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},t.prototype.calcSpringForces=function(){for(var i=this.getAllEdges(),r,h=0;h0&&arguments[0]!==void 0?arguments[0]:!0,r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,h,f,l,L,y=this.getAllNodes(),p;if(this.useFRGridVariant)for(this.totalIterations%n.GRID_CALCULATION_CHECK_PERIOD==1&&i&&this.updateGrid(),p=new Set,h=0;hC||p>C)&&(i.gravitationForceX=-this.gravityConstant*l,i.gravitationForceY=-this.gravityConstant*L)):(C=r.getEstimatedSize()*this.compoundGravityRangeFactor,(y>C||p>C)&&(i.gravitationForceX=-this.gravityConstant*l*this.compoundGravityConstant,i.gravitationForceY=-this.gravityConstant*L*this.compoundGravityConstant))},t.prototype.isConverged=function(){var i,r=!1;return this.totalIterations>this.maxIterations/3&&(r=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),i=this.totalDisplacement=y.length||C>=y[0].length)){for(var R=0;Rt}}]),a}();m.exports=e},function(m,w,N){"use strict";function u(){}u.svd=function(o){this.U=null,this.V=null,this.s=null,this.m=0,this.n=0,this.m=o.length,this.n=o[0].length;var n=Math.min(this.m,this.n);this.s=function(Dt){for(var Nt=[];Dt-- >0;)Nt.push(0);return Nt}(Math.min(this.m+1,this.n)),this.U=function(Dt){var Nt=function $t(Rt){if(Rt.length==0)return 0;for(var Xt=[],zt=0;zt0;)Nt.push(0);return Nt}(this.n),a=function(Dt){for(var Nt=[];Dt-- >0;)Nt.push(0);return Nt}(this.m),c=!0,t=!0,g=Math.min(this.m-1,this.n),i=Math.max(0,Math.min(this.n-2,this.m)),r=0;r=0;d--)if(this.s[d]!==0){for(var D=d+1;D=0;b--){if(function(Dt,Nt){return Dt&&Nt}(b0;){var Q=void 0,Ut=void 0;for(Q=E-2;Q>=-1&&Q!==-1;Q--)if(Math.abs(e[Q])<=St+Lt*(Math.abs(this.s[Q])+Math.abs(this.s[Q+1]))){e[Q]=0;break}if(Q===E-2)Ut=4;else{var wt=void 0;for(wt=E-1;wt>=Q&&wt!==Q;wt--){var nt=(wt!==E?Math.abs(e[wt]):0)+(wt!==Q+1?Math.abs(e[wt-1]):0);if(Math.abs(this.s[wt])<=St+Lt*nt){this.s[wt]=0;break}}wt===Q?Ut=3:wt===E-1?Ut=1:(Ut=2,Q=wt)}switch(Q++,Ut){case 1:{var et=e[E-2];e[E-2]=0;for(var pt=E-2;pt>=Q;pt--){var Et=u.hypot(this.s[pt],et),Ct=this.s[pt]/Et,mt=et/Et;if(this.s[pt]=Et,pt!==Q&&(et=-mt*e[pt-1],e[pt-1]=Ct*e[pt-1]),t)for(var Tt=0;Tt=this.s[Q+1]);){var lt=this.s[Q];if(this.s[Q]=this.s[Q+1],this.s[Q+1]=lt,t&&QMath.abs(n)?(e=n/o,e=Math.abs(o)*Math.sqrt(1+e*e)):n!=0?(e=o/n,e=Math.abs(n)*Math.sqrt(1+e*e)):e=0,e},m.exports=u},function(m,w,N){"use strict";var u=function(){function e(a,c){for(var t=0;t2&&arguments[2]!==void 0?arguments[2]:1,g=arguments.length>3&&arguments[3]!==void 0?arguments[3]:-1,i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:-1;o(this,e),this.sequence1=a,this.sequence2=c,this.match_score=t,this.mismatch_penalty=g,this.gap_penalty=i,this.iMax=a.length+1,this.jMax=c.length+1,this.grid=new Array(this.iMax);for(var r=0;r=0;a--){var c=this.listeners[a];c.event===n&&c.callback===e&&this.listeners.splice(a,1)}},o.emit=function(n,e){for(var a=0;a{(function(w,N){typeof ie=="object"&&typeof Ne=="object"?Ne.exports=N(Te()):typeof define=="function"&&define.amd?define(["layout-base"],N):typeof ie=="object"?ie.coseBase=N(Te()):w.coseBase=N(w.layoutBase)})(ie,function(m){return(()=>{"use strict";var w={45:(n,e,a)=>{var c={};c.layoutBase=a(551),c.CoSEConstants=a(806),c.CoSEEdge=a(767),c.CoSEGraph=a(880),c.CoSEGraphManager=a(578),c.CoSELayout=a(765),c.CoSENode=a(991),c.ConstraintHandler=a(902),n.exports=c},806:(n,e,a)=>{var c=a(551).FDLayoutConstants;function t(){}for(var g in c)t[g]=c[g];t.DEFAULT_USE_MULTI_LEVEL_SCALING=!1,t.DEFAULT_RADIAL_SEPARATION=c.DEFAULT_EDGE_LENGTH,t.DEFAULT_COMPONENT_SEPERATION=60,t.TILE=!0,t.TILING_PADDING_VERTICAL=10,t.TILING_PADDING_HORIZONTAL=10,t.TRANSFORM_ON_CONSTRAINT_HANDLING=!0,t.ENFORCE_CONSTRAINTS=!0,t.APPLY_LAYOUT=!0,t.RELAX_MOVEMENT_ON_CONSTRAINTS=!0,t.TREE_REDUCTION_ON_INCREMENTAL=!0,t.PURE_INCREMENTAL=t.DEFAULT_INCREMENTAL,n.exports=t},767:(n,e,a)=>{var c=a(551).FDLayoutEdge;function t(i,r,h){c.call(this,i,r,h)}t.prototype=Object.create(c.prototype);for(var g in c)t[g]=c[g];n.exports=t},880:(n,e,a)=>{var c=a(551).LGraph;function t(i,r,h){c.call(this,i,r,h)}t.prototype=Object.create(c.prototype);for(var g in c)t[g]=c[g];n.exports=t},578:(n,e,a)=>{var c=a(551).LGraphManager;function t(i){c.call(this,i)}t.prototype=Object.create(c.prototype);for(var g in c)t[g]=c[g];n.exports=t},765:(n,e,a)=>{var c=a(551).FDLayout,t=a(578),g=a(880),i=a(991),r=a(767),h=a(806),f=a(902),l=a(551).FDLayoutConstants,L=a(551).LayoutConstants,y=a(551).Point,p=a(551).PointD,C=a(551).DimensionD,R=a(551).Layout,A=a(551).Integer,S=a(551).IGeometry,B=a(551).LGraph,Y=a(551).Transform,tt=a(551).LinkedList;function x(){c.call(this),this.toBeTiled={},this.constraints={}}x.prototype=Object.create(c.prototype);for(var k in c)x[k]=c[k];x.prototype.newGraphManager=function(){var s=new t(this);return this.graphManager=s,s},x.prototype.newGraph=function(s){return new g(null,this.graphManager,s)},x.prototype.newNode=function(s){return new i(this.graphManager,s)},x.prototype.newEdge=function(s){return new r(null,null,s)},x.prototype.initParameters=function(){c.prototype.initParameters.call(this,arguments),this.isSubLayout||(h.DEFAULT_EDGE_LENGTH<10?this.idealEdgeLength=10:this.idealEdgeLength=h.DEFAULT_EDGE_LENGTH,this.useSmartIdealEdgeLengthCalculation=h.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION,this.gravityConstant=l.DEFAULT_GRAVITY_STRENGTH,this.compoundGravityConstant=l.DEFAULT_COMPOUND_GRAVITY_STRENGTH,this.gravityRangeFactor=l.DEFAULT_GRAVITY_RANGE_FACTOR,this.compoundGravityRangeFactor=l.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR,this.prunedNodesAll=[],this.growTreeIterations=0,this.afterGrowthIterations=0,this.isTreeGrowing=!1,this.isGrowthFinished=!1)},x.prototype.initSpringEmbedder=function(){c.prototype.initSpringEmbedder.call(this),this.coolingCycle=0,this.maxCoolingCycle=this.maxIterations/l.CONVERGENCE_CHECK_PERIOD,this.finalTemperature=.04,this.coolingAdjuster=1},x.prototype.layout=function(){var s=L.DEFAULT_CREATE_BENDS_AS_NEEDED;return s&&(this.createBendpoints(),this.graphManager.resetAllEdges()),this.level=0,this.classicLayout()},x.prototype.classicLayout=function(){if(this.nodesWithGravity=this.calculateNodesToApplyGravitationTo(),this.graphManager.setAllNodesToApplyGravitation(this.nodesWithGravity),this.calcNoOfChildrenForAllNodes(),this.graphManager.calcLowestCommonAncestors(),this.graphManager.calcInclusionTreeDepths(),this.graphManager.getRoot().calcEstimatedSize(),this.calcIdealEdgeLengths(),this.incremental){if(h.TREE_REDUCTION_ON_INCREMENTAL){this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var E=new Set(this.getAllNodes()),v=this.nodesWithGravity.filter(function(D){return E.has(D)});this.graphManager.setAllNodesToApplyGravitation(v)}}else{var s=this.getFlatForest();if(s.length>0)this.positionNodesRadially(s);else{this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var E=new Set(this.getAllNodes()),v=this.nodesWithGravity.filter(function(T){return E.has(T)});this.graphManager.setAllNodesToApplyGravitation(v),this.positionNodesRandomly()}}return Object.keys(this.constraints).length>0&&(f.handleConstraints(this),this.initConstraintVariables()),this.initSpringEmbedder(),h.APPLY_LAYOUT&&this.runSpringEmbedder(),!0},x.prototype.tick=function(){if(this.totalIterations++,this.totalIterations===this.maxIterations&&!this.isTreeGrowing&&!this.isGrowthFinished)if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;if(this.totalIterations%l.CONVERGENCE_CHECK_PERIOD==0&&!this.isTreeGrowing&&!this.isGrowthFinished){if(this.isConverged())if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;this.coolingCycle++,this.layoutQuality==0?this.coolingAdjuster=this.coolingCycle:this.layoutQuality==1&&(this.coolingAdjuster=this.coolingCycle/3),this.coolingFactor=Math.max(this.initialCoolingFactor-Math.pow(this.coolingCycle,Math.log(100*(this.initialCoolingFactor-this.finalTemperature))/Math.log(this.maxCoolingCycle))/100*this.coolingAdjuster,this.finalTemperature),this.animationPeriod=Math.ceil(this.initialAnimationPeriod*Math.sqrt(this.coolingFactor))}if(this.isTreeGrowing){if(this.growTreeIterations%10==0)if(this.prunedNodesAll.length>0){this.graphManager.updateBounds(),this.updateGrid(),this.growTree(this.prunedNodesAll),this.graphManager.resetAllNodesToApplyGravitation();var s=new Set(this.getAllNodes()),E=this.nodesWithGravity.filter(function(d){return s.has(d)});this.graphManager.setAllNodesToApplyGravitation(E),this.graphManager.updateBounds(),this.updateGrid(),h.PURE_INCREMENTAL?this.coolingFactor=l.DEFAULT_COOLING_FACTOR_INCREMENTAL/2:this.coolingFactor=l.DEFAULT_COOLING_FACTOR_INCREMENTAL}else this.isTreeGrowing=!1,this.isGrowthFinished=!0;this.growTreeIterations++}if(this.isGrowthFinished){if(this.isConverged())return!0;this.afterGrowthIterations%10==0&&(this.graphManager.updateBounds(),this.updateGrid()),h.PURE_INCREMENTAL?this.coolingFactor=l.DEFAULT_COOLING_FACTOR_INCREMENTAL/2*((100-this.afterGrowthIterations)/100):this.coolingFactor=l.DEFAULT_COOLING_FACTOR_INCREMENTAL*((100-this.afterGrowthIterations)/100),this.afterGrowthIterations++}var v=!this.isTreeGrowing&&!this.isGrowthFinished,T=this.growTreeIterations%10==1&&this.isTreeGrowing||this.afterGrowthIterations%10==1&&this.isGrowthFinished;return this.totalDisplacement=0,this.graphManager.updateBounds(),this.calcSpringForces(),this.calcRepulsionForces(v,T),this.calcGravitationalForces(),this.moveNodes(),this.animate(),!1},x.prototype.getPositionsData=function(){for(var s=this.graphManager.getAllNodes(),E={},v=0;v0&&this.updateDisplacements();for(var v=0;v0&&(T.fixedNodeWeight=D)}}if(this.constraints.relativePlacementConstraint){var O=new Map,P=new Map;if(this.dummyToNodeForVerticalAlignment=new Map,this.dummyToNodeForHorizontalAlignment=new Map,this.fixedNodesOnHorizontal=new Set,this.fixedNodesOnVertical=new Set,this.fixedNodeSet.forEach(function(M){s.fixedNodesOnHorizontal.add(M),s.fixedNodesOnVertical.add(M)}),this.constraints.alignmentConstraint){if(this.constraints.alignmentConstraint.vertical)for(var F=this.constraints.alignmentConstraint.vertical,v=0;v=2*M.length/3;J--)U=Math.floor(Math.random()*(J+1)),X=M[J],M[J]=M[U],M[U]=X;return M},this.nodesInRelativeHorizontal=[],this.nodesInRelativeVertical=[],this.nodeToRelativeConstraintMapHorizontal=new Map,this.nodeToRelativeConstraintMapVertical=new Map,this.nodeToTempPositionMapHorizontal=new Map,this.nodeToTempPositionMapVertical=new Map,this.constraints.relativePlacementConstraint.forEach(function(M){if(M.left){var U=O.has(M.left)?O.get(M.left):M.left,X=O.has(M.right)?O.get(M.right):M.right;s.nodesInRelativeHorizontal.includes(U)||(s.nodesInRelativeHorizontal.push(U),s.nodeToRelativeConstraintMapHorizontal.set(U,[]),s.dummyToNodeForVerticalAlignment.has(U)?s.nodeToTempPositionMapHorizontal.set(U,s.idToNodeMap.get(s.dummyToNodeForVerticalAlignment.get(U)[0]).getCenterX()):s.nodeToTempPositionMapHorizontal.set(U,s.idToNodeMap.get(U).getCenterX())),s.nodesInRelativeHorizontal.includes(X)||(s.nodesInRelativeHorizontal.push(X),s.nodeToRelativeConstraintMapHorizontal.set(X,[]),s.dummyToNodeForVerticalAlignment.has(X)?s.nodeToTempPositionMapHorizontal.set(X,s.idToNodeMap.get(s.dummyToNodeForVerticalAlignment.get(X)[0]).getCenterX()):s.nodeToTempPositionMapHorizontal.set(X,s.idToNodeMap.get(X).getCenterX())),s.nodeToRelativeConstraintMapHorizontal.get(U).push({right:X,gap:M.gap}),s.nodeToRelativeConstraintMapHorizontal.get(X).push({left:U,gap:M.gap})}else{var J=P.has(M.top)?P.get(M.top):M.top,st=P.has(M.bottom)?P.get(M.bottom):M.bottom;s.nodesInRelativeVertical.includes(J)||(s.nodesInRelativeVertical.push(J),s.nodeToRelativeConstraintMapVertical.set(J,[]),s.dummyToNodeForHorizontalAlignment.has(J)?s.nodeToTempPositionMapVertical.set(J,s.idToNodeMap.get(s.dummyToNodeForHorizontalAlignment.get(J)[0]).getCenterY()):s.nodeToTempPositionMapVertical.set(J,s.idToNodeMap.get(J).getCenterY())),s.nodesInRelativeVertical.includes(st)||(s.nodesInRelativeVertical.push(st),s.nodeToRelativeConstraintMapVertical.set(st,[]),s.dummyToNodeForHorizontalAlignment.has(st)?s.nodeToTempPositionMapVertical.set(st,s.idToNodeMap.get(s.dummyToNodeForHorizontalAlignment.get(st)[0]).getCenterY()):s.nodeToTempPositionMapVertical.set(st,s.idToNodeMap.get(st).getCenterY())),s.nodeToRelativeConstraintMapVertical.get(J).push({bottom:st,gap:M.gap}),s.nodeToRelativeConstraintMapVertical.get(st).push({top:J,gap:M.gap})}});else{var Z=new Map,_=new Map;this.constraints.relativePlacementConstraint.forEach(function(M){if(M.left){var U=O.has(M.left)?O.get(M.left):M.left,X=O.has(M.right)?O.get(M.right):M.right;Z.has(U)?Z.get(U).push(X):Z.set(U,[X]),Z.has(X)?Z.get(X).push(U):Z.set(X,[U])}else{var J=P.has(M.top)?P.get(M.top):M.top,st=P.has(M.bottom)?P.get(M.bottom):M.bottom;_.has(J)?_.get(J).push(st):_.set(J,[st]),_.has(st)?_.get(st).push(J):_.set(st,[J])}});var b=function(U,X){var J=[],st=[],Lt=new tt,St=new Set,Q=0;return U.forEach(function(Ut,wt){if(!St.has(wt)){J[Q]=[],st[Q]=!1;var nt=wt;for(Lt.push(nt),St.add(nt),J[Q].push(nt);Lt.length!=0;){nt=Lt.shift(),X.has(nt)&&(st[Q]=!0);var et=U.get(nt);et.forEach(function(pt){St.has(pt)||(Lt.push(pt),St.add(pt),J[Q].push(pt))})}Q++}}),{components:J,isFixed:st}},j=b(Z,s.fixedNodesOnHorizontal);this.componentsOnHorizontal=j.components,this.fixedComponentsOnHorizontal=j.isFixed;var V=b(_,s.fixedNodesOnVertical);this.componentsOnVertical=V.components,this.fixedComponentsOnVertical=V.isFixed}}},x.prototype.updateDisplacements=function(){var s=this;if(this.constraints.fixedNodeConstraint&&this.constraints.fixedNodeConstraint.forEach(function(V){var M=s.idToNodeMap.get(V.nodeId);M.displacementX=0,M.displacementY=0}),this.constraints.alignmentConstraint){if(this.constraints.alignmentConstraint.vertical)for(var E=this.constraints.alignmentConstraint.vertical,v=0;v1){var P;for(P=0;PT&&(T=Math.floor(O.y)),D=Math.floor(O.x+h.DEFAULT_COMPONENT_SEPERATION)}this.transform(new p(L.WORLD_CENTER_X-O.x/2,L.WORLD_CENTER_Y-O.y/2))},x.radialLayout=function(s,E,v){var T=Math.max(this.maxDiagonalInTree(s),h.DEFAULT_RADIAL_SEPARATION);x.branchRadialLayout(E,null,0,359,0,T);var d=B.calculateBounds(s),D=new Y;D.setDeviceOrgX(d.getMinX()),D.setDeviceOrgY(d.getMinY()),D.setWorldOrgX(v.x),D.setWorldOrgY(v.y);for(var O=0;O1;){var J=X[0];X.splice(0,1);var st=b.indexOf(J);st>=0&&b.splice(st,1),M--,j--}E!=null?U=(b.indexOf(X[0])+1)%M:U=0;for(var Lt=Math.abs(T-v)/j,St=U;V!=j;St=++St%M){var Q=b[St].getOtherEnd(s);if(Q!=E){var Ut=(v+V*Lt)%360,wt=(Ut+Lt)%360;x.branchRadialLayout(Q,s,Ut,wt,d+D,D),V++}}},x.maxDiagonalInTree=function(s){for(var E=A.MIN_VALUE,v=0;vE&&(E=d)}return E},x.prototype.calcRepulsionRange=function(){return 2*(this.level+1)*this.idealEdgeLength},x.prototype.groupZeroDegreeMembers=function(){var s=this,E={};this.memberGroups={},this.idToDummyNode={};for(var v=[],T=this.graphManager.getAllNodes(),d=0;d"u"&&(E[P]=[]),E[P]=E[P].concat(D)}Object.keys(E).forEach(function(F){if(E[F].length>1){var I="DummyCompound_"+F;s.memberGroups[I]=E[F];var Z=E[F][0].getParent(),_=new i(s.graphManager);_.id=I,_.paddingLeft=Z.paddingLeft||0,_.paddingRight=Z.paddingRight||0,_.paddingBottom=Z.paddingBottom||0,_.paddingTop=Z.paddingTop||0,s.idToDummyNode[I]=_;var b=s.getGraphManager().add(s.newGraph(),_),j=Z.getChild();j.add(_);for(var V=0;Vd?(T.rect.x-=(T.labelWidth-d)/2,T.setWidth(T.labelWidth),T.labelMarginLeft=(T.labelWidth-d)/2):T.labelPosHorizontal=="right"&&T.setWidth(d+T.labelWidth)),T.labelHeight&&(T.labelPosVertical=="top"?(T.rect.y-=T.labelHeight,T.setHeight(D+T.labelHeight),T.labelMarginTop=T.labelHeight):T.labelPosVertical=="center"&&T.labelHeight>D?(T.rect.y-=(T.labelHeight-D)/2,T.setHeight(T.labelHeight),T.labelMarginTop=(T.labelHeight-D)/2):T.labelPosVertical=="bottom"&&T.setHeight(D+T.labelHeight))}})},x.prototype.repopulateCompounds=function(){for(var s=this.compoundOrder.length-1;s>=0;s--){var E=this.compoundOrder[s],v=E.id,T=E.paddingLeft,d=E.paddingTop,D=E.labelMarginLeft,O=E.labelMarginTop;this.adjustLocations(this.tiledMemberPack[v],E.rect.x,E.rect.y,T,d,D,O)}},x.prototype.repopulateZeroDegreeMembers=function(){var s=this,E=this.tiledZeroDegreePack;Object.keys(E).forEach(function(v){var T=s.idToDummyNode[v],d=T.paddingLeft,D=T.paddingTop,O=T.labelMarginLeft,P=T.labelMarginTop;s.adjustLocations(E[v],T.rect.x,T.rect.y,d,D,O,P)})},x.prototype.getToBeTiled=function(s){var E=s.id;if(this.toBeTiled[E]!=null)return this.toBeTiled[E];var v=s.getChild();if(v==null)return this.toBeTiled[E]=!1,!1;for(var T=v.getNodes(),d=0;d0)return this.toBeTiled[E]=!1,!1;if(D.getChild()==null){this.toBeTiled[D.id]=!1;continue}if(!this.getToBeTiled(D))return this.toBeTiled[E]=!1,!1}return this.toBeTiled[E]=!0,!0},x.prototype.getNodeDegree=function(s){for(var E=s.id,v=s.getEdges(),T=0,d=0;dZ&&(Z=b.rect.height)}v+=Z+s.verticalPadding}},x.prototype.tileCompoundMembers=function(s,E){var v=this;this.tiledMemberPack=[],Object.keys(s).forEach(function(T){var d=E[T];if(v.tiledMemberPack[T]=v.tileNodes(s[T],d.paddingLeft+d.paddingRight),d.rect.width=v.tiledMemberPack[T].width,d.rect.height=v.tiledMemberPack[T].height,d.setCenter(v.tiledMemberPack[T].centerX,v.tiledMemberPack[T].centerY),d.labelMarginLeft=0,d.labelMarginTop=0,h.NODE_DIMENSIONS_INCLUDE_LABELS){var D=d.rect.width,O=d.rect.height;d.labelWidth&&(d.labelPosHorizontal=="left"?(d.rect.x-=d.labelWidth,d.setWidth(D+d.labelWidth),d.labelMarginLeft=d.labelWidth):d.labelPosHorizontal=="center"&&d.labelWidth>D?(d.rect.x-=(d.labelWidth-D)/2,d.setWidth(d.labelWidth),d.labelMarginLeft=(d.labelWidth-D)/2):d.labelPosHorizontal=="right"&&d.setWidth(D+d.labelWidth)),d.labelHeight&&(d.labelPosVertical=="top"?(d.rect.y-=d.labelHeight,d.setHeight(O+d.labelHeight),d.labelMarginTop=d.labelHeight):d.labelPosVertical=="center"&&d.labelHeight>O?(d.rect.y-=(d.labelHeight-O)/2,d.setHeight(d.labelHeight),d.labelMarginTop=(d.labelHeight-O)/2):d.labelPosVertical=="bottom"&&d.setHeight(O+d.labelHeight))}})},x.prototype.tileNodes=function(s,E){var v=this.tileNodesByFavoringDim(s,E,!0),T=this.tileNodesByFavoringDim(s,E,!1),d=this.getOrgRatio(v),D=this.getOrgRatio(T),O;return DP&&(P=V.getWidth())});var F=D/d,I=O/d,Z=Math.pow(v-T,2)+4*(F+T)*(I+v)*d,_=(T-v+Math.sqrt(Z))/(2*(F+T)),b;E?(b=Math.ceil(_),b==_&&b++):b=Math.floor(_);var j=b*(F+T)-T;return P>j&&(j=P),j+=T*2,j},x.prototype.tileNodesByFavoringDim=function(s,E,v){var T=h.TILING_PADDING_VERTICAL,d=h.TILING_PADDING_HORIZONTAL,D=h.TILING_COMPARE_BY,O={rows:[],rowWidth:[],rowHeight:[],width:0,height:E,verticalPadding:T,horizontalPadding:d,centerX:0,centerY:0};D&&(O.idealRowWidth=this.calcIdealRowWidth(s,v));var P=function(M){return M.rect.width*M.rect.height},F=function(M,U){return P(U)-P(M)};s.sort(function(V,M){var U=F;return O.idealRowWidth?(U=D,U(V.id,M.id)):U(V,M)});for(var I=0,Z=0,_=0;_0&&(O+=s.horizontalPadding),s.rowWidth[v]=O,s.width0&&(P+=s.verticalPadding);var F=0;P>s.rowHeight[v]&&(F=s.rowHeight[v],s.rowHeight[v]=P,F=s.rowHeight[v]-F),s.height+=F,s.rows[v].push(E)},x.prototype.getShortestRowIndex=function(s){for(var E=-1,v=Number.MAX_VALUE,T=0;Tv&&(E=T,v=s.rowWidth[T]);return E},x.prototype.canAddHorizontal=function(s,E,v){if(s.idealRowWidth){var T=s.rows.length-1,d=s.rowWidth[T];return d+E+s.horizontalPadding<=s.idealRowWidth}var D=this.getShortestRowIndex(s);if(D<0)return!0;var O=s.rowWidth[D];if(O+s.horizontalPadding+E<=s.width)return!0;var P=0;s.rowHeight[D]0&&(P=v+s.verticalPadding-s.rowHeight[D]);var F;s.width-O>=E+s.horizontalPadding?F=(s.height+P)/(O+E+s.horizontalPadding):F=(s.height+P)/s.width,P=v+s.verticalPadding;var I;return s.widthD&&E!=v){T.splice(-1,1),s.rows[v].push(d),s.rowWidth[E]=s.rowWidth[E]-D,s.rowWidth[v]=s.rowWidth[v]+D,s.width=s.rowWidth[instance.getLongestRowIndex(s)];for(var O=Number.MIN_VALUE,P=0;PO&&(O=T[P].height);E>0&&(O+=s.verticalPadding);var F=s.rowHeight[E]+s.rowHeight[v];s.rowHeight[E]=O,s.rowHeight[v]0)for(var j=d;j<=D;j++)b[0]+=this.grid[j][O-1].length+this.grid[j][O].length-1;if(D0)for(var j=O;j<=P;j++)b[3]+=this.grid[d-1][j].length+this.grid[d][j].length-1;for(var V=A.MAX_VALUE,M,U,X=0;X{var c=a(551).FDLayoutNode,t=a(551).IMath;function g(r,h,f,l){c.call(this,r,h,f,l)}g.prototype=Object.create(c.prototype);for(var i in c)g[i]=c[i];g.prototype.calculateDisplacement=function(){var r=this.graphManager.getLayout();this.getChild()!=null&&this.fixedNodeWeight?(this.displacementX+=r.coolingFactor*(this.springForceX+this.repulsionForceX+this.gravitationForceX)/this.fixedNodeWeight,this.displacementY+=r.coolingFactor*(this.springForceY+this.repulsionForceY+this.gravitationForceY)/this.fixedNodeWeight):(this.displacementX+=r.coolingFactor*(this.springForceX+this.repulsionForceX+this.gravitationForceX)/this.noOfChildren,this.displacementY+=r.coolingFactor*(this.springForceY+this.repulsionForceY+this.gravitationForceY)/this.noOfChildren),Math.abs(this.displacementX)>r.coolingFactor*r.maxNodeDisplacement&&(this.displacementX=r.coolingFactor*r.maxNodeDisplacement*t.sign(this.displacementX)),Math.abs(this.displacementY)>r.coolingFactor*r.maxNodeDisplacement&&(this.displacementY=r.coolingFactor*r.maxNodeDisplacement*t.sign(this.displacementY)),this.child&&this.child.getNodes().length>0&&this.propogateDisplacementToChildren(this.displacementX,this.displacementY)},g.prototype.propogateDisplacementToChildren=function(r,h){for(var f=this.getChild().getNodes(),l,L=0;L{function c(f){if(Array.isArray(f)){for(var l=0,L=Array(f.length);l0){var dt=0;it.forEach(function(lt){W=="horizontal"?(q.set(lt,y.has(lt)?p[y.get(lt)]:$.get(lt)),dt+=q.get(lt)):(q.set(lt,y.has(lt)?C[y.get(lt)]:$.get(lt)),dt+=q.get(lt))}),dt=dt/it.length,ot.forEach(function(lt){z.has(lt)||q.set(lt,dt)})}else{var at=0;ot.forEach(function(lt){W=="horizontal"?at+=y.has(lt)?p[y.get(lt)]:$.get(lt):at+=y.has(lt)?C[y.get(lt)]:$.get(lt)}),at=at/ot.length,ot.forEach(function(lt){q.set(lt,at)})}});for(var rt=function(){var it=gt.shift(),dt=H.get(it);dt.forEach(function(at){if(q.get(at.id)lt&&(lt=Xt),ztFt&&(Ft=zt)}}catch(_t){Vt=!0,Dt=_t}finally{try{!xt&&Nt.return&&Nt.return()}finally{if(Vt)throw Dt}}var ce=(dt+lt)/2-(at+Ft)/2,qt=!0,Jt=!1,Kt=void 0;try{for(var Qt=ot[Symbol.iterator](),oe;!(qt=(oe=Qt.next()).done);qt=!0){var jt=oe.value;q.set(jt,q.get(jt)+ce)}}catch(_t){Jt=!0,Kt=_t}finally{try{!qt&&Qt.return&&Qt.return()}finally{if(Jt)throw Kt}}})}return q},k=function(H){var W=0,z=0,$=0,K=0;if(H.forEach(function(ht){ht.left?p[y.get(ht.left)]-p[y.get(ht.right)]>=0?W++:z++:C[y.get(ht.top)]-C[y.get(ht.bottom)]>=0?$++:K++}),W>z&&$>K)for(var ut=0;utz)for(var ft=0;ftK)for(var q=0;q1)l.fixedNodeConstraint.forEach(function(G,H){T[H]=[G.position.x,G.position.y],d[H]=[p[y.get(G.nodeId)],C[y.get(G.nodeId)]]}),D=!0;else if(l.alignmentConstraint)(function(){var G=0;if(l.alignmentConstraint.vertical){for(var H=l.alignmentConstraint.vertical,W=function(q){var ht=new Set;H[q].forEach(function(vt){ht.add(vt)});var gt=new Set([].concat(c(ht)).filter(function(vt){return P.has(vt)})),rt=void 0;gt.size>0?rt=p[y.get(gt.values().next().value)]:rt=tt(ht).x,H[q].forEach(function(vt){T[G]=[rt,C[y.get(vt)]],d[G]=[p[y.get(vt)],C[y.get(vt)]],G++})},z=0;z0?rt=p[y.get(gt.values().next().value)]:rt=tt(ht).y,$[q].forEach(function(vt){T[G]=[p[y.get(vt)],rt],d[G]=[p[y.get(vt)],C[y.get(vt)]],G++})},ut=0;ut<$.length;ut++)K(ut);D=!0}l.relativePlacementConstraint&&(O=!0)})();else if(l.relativePlacementConstraint){for(var _=0,b=0,j=0;j_&&(_=Z[j].length,b=j);if(_0){var Ct={x:0,y:0};l.fixedNodeConstraint.forEach(function(G,H){var W={x:p[y.get(G.nodeId)],y:C[y.get(G.nodeId)]},z=G.position,$=Y(z,W);Ct.x+=$.x,Ct.y+=$.y}),Ct.x/=l.fixedNodeConstraint.length,Ct.y/=l.fixedNodeConstraint.length,p.forEach(function(G,H){p[H]+=Ct.x}),C.forEach(function(G,H){C[H]+=Ct.y}),l.fixedNodeConstraint.forEach(function(G){p[y.get(G.nodeId)]=G.position.x,C[y.get(G.nodeId)]=G.position.y})}if(l.alignmentConstraint){if(l.alignmentConstraint.vertical)for(var mt=l.alignmentConstraint.vertical,Tt=function(H){var W=new Set;mt[H].forEach(function(K){W.add(K)});var z=new Set([].concat(c(W)).filter(function(K){return P.has(K)})),$=void 0;z.size>0?$=p[y.get(z.values().next().value)]:$=tt(W).x,W.forEach(function(K){P.has(K)||(p[y.get(K)]=$)})},Ot=0;Ot0?$=C[y.get(z.values().next().value)]:$=tt(W).y,W.forEach(function(K){P.has(K)||(C[y.get(K)]=$)})},Pt=0;Pt{n.exports=m}},N={};function u(n){var e=N[n];if(e!==void 0)return e.exports;var a=N[n]={exports:{}};return w[n](a,a.exports,u),a.exports}var o=u(45);return o})()})});var Je=pe((ae,Ce)=>{(function(w,N){typeof ae=="object"&&typeof Ce=="object"?Ce.exports=N(Le()):typeof define=="function"&&define.amd?define(["cose-base"],N):typeof ae=="object"?ae.cytoscapeFcose=N(Le()):w.cytoscapeFcose=N(w.coseBase)})(ae,function(m){return(()=>{"use strict";var w={658:n=>{n.exports=Object.assign!=null?Object.assign.bind(Object):function(e){for(var a=arguments.length,c=Array(a>1?a-1:0),t=1;t{var c=function(){function i(r,h){var f=[],l=!0,L=!1,y=void 0;try{for(var p=r[Symbol.iterator](),C;!(l=(C=p.next()).done)&&(f.push(C.value),!(h&&f.length===h));l=!0);}catch(R){L=!0,y=R}finally{try{!l&&p.return&&p.return()}finally{if(L)throw y}}return f}return function(r,h){if(Array.isArray(r))return r;if(Symbol.iterator in Object(r))return i(r,h);throw new TypeError("Invalid attempt to destructure non-iterable instance")}}(),t=a(140).layoutBase.LinkedList,g={};g.getTopMostNodes=function(i){for(var r={},h=0;h0&&D.merge(I)});for(var O=0;O1){C=y[0],R=C.connectedEdges().length,y.forEach(function(d){d.connectedEdges().length0&&f.set("dummy"+(f.size+1),B),Y},g.relocateComponent=function(i,r,h){if(!h.fixedNodeConstraint){var f=Number.POSITIVE_INFINITY,l=Number.NEGATIVE_INFINITY,L=Number.POSITIVE_INFINITY,y=Number.NEGATIVE_INFINITY;if(h.quality=="draft"){var p=!0,C=!1,R=void 0;try{for(var A=r.nodeIndexes[Symbol.iterator](),S;!(p=(S=A.next()).done);p=!0){var B=S.value,Y=c(B,2),tt=Y[0],x=Y[1],k=h.cy.getElementById(tt);if(k){var s=k.boundingBox(),E=r.xCoords[x]-s.w/2,v=r.xCoords[x]+s.w/2,T=r.yCoords[x]-s.h/2,d=r.yCoords[x]+s.h/2;El&&(l=v),Ty&&(y=d)}}}catch(I){C=!0,R=I}finally{try{!p&&A.return&&A.return()}finally{if(C)throw R}}var D=i.x-(l+f)/2,O=i.y-(y+L)/2;r.xCoords=r.xCoords.map(function(I){return I+D}),r.yCoords=r.yCoords.map(function(I){return I+O})}else{Object.keys(r).forEach(function(I){var Z=r[I],_=Z.getRect().x,b=Z.getRect().x+Z.getRect().width,j=Z.getRect().y,V=Z.getRect().y+Z.getRect().height;_l&&(l=b),jy&&(y=V)});var P=i.x-(l+f)/2,F=i.y-(y+L)/2;Object.keys(r).forEach(function(I){var Z=r[I];Z.setCenter(Z.getCenterX()+P,Z.getCenterY()+F)})}}},g.calcBoundingBox=function(i,r,h,f){for(var l=Number.MAX_SAFE_INTEGER,L=Number.MIN_SAFE_INTEGER,y=Number.MAX_SAFE_INTEGER,p=Number.MIN_SAFE_INTEGER,C=void 0,R=void 0,A=void 0,S=void 0,B=i.descendants().not(":parent"),Y=B.length,tt=0;ttC&&(l=C),LA&&(y=A),p{var c=a(548),t=a(140).CoSELayout,g=a(140).CoSENode,i=a(140).layoutBase.PointD,r=a(140).layoutBase.DimensionD,h=a(140).layoutBase.LayoutConstants,f=a(140).layoutBase.FDLayoutConstants,l=a(140).CoSEConstants,L=function(p,C){var R=p.cy,A=p.eles,S=A.nodes(),B=A.edges(),Y=void 0,tt=void 0,x=void 0,k={};p.randomize&&(Y=C.nodeIndexes,tt=C.xCoords,x=C.yCoords);var s=function(I){return typeof I=="function"},E=function(I,Z){return s(I)?I(Z):I},v=c.calcParentsWithoutChildren(R,A),T=function F(I,Z,_,b){for(var j=Z.length,V=0;V0){var Lt=void 0;Lt=_.getGraphManager().add(_.newGraph(),X),F(Lt,U,_,b)}}},d=function(I,Z,_){for(var b=0,j=0,V=0;V<_.length;V++){var M=_[V],U=k[M.data("source")],X=k[M.data("target")];if(U&&X&&U!==X&&U.getEdgesBetween(X).length==0){var J=Z.add(I.newEdge(),U,X);J.id=M.id(),J.idealLength=E(p.idealEdgeLength,M),J.edgeElasticity=E(p.edgeElasticity,M),b+=J.idealLength,j++}}p.idealEdgeLength!=null&&(j>0?l.DEFAULT_EDGE_LENGTH=f.DEFAULT_EDGE_LENGTH=b/j:s(p.idealEdgeLength)?l.DEFAULT_EDGE_LENGTH=f.DEFAULT_EDGE_LENGTH=50:l.DEFAULT_EDGE_LENGTH=f.DEFAULT_EDGE_LENGTH=p.idealEdgeLength,l.MIN_REPULSION_DIST=f.MIN_REPULSION_DIST=f.DEFAULT_EDGE_LENGTH/10,l.DEFAULT_RADIAL_SEPARATION=f.DEFAULT_EDGE_LENGTH)},D=function(I,Z){Z.fixedNodeConstraint&&(I.constraints.fixedNodeConstraint=Z.fixedNodeConstraint),Z.alignmentConstraint&&(I.constraints.alignmentConstraint=Z.alignmentConstraint),Z.relativePlacementConstraint&&(I.constraints.relativePlacementConstraint=Z.relativePlacementConstraint)};p.nestingFactor!=null&&(l.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=f.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=p.nestingFactor),p.gravity!=null&&(l.DEFAULT_GRAVITY_STRENGTH=f.DEFAULT_GRAVITY_STRENGTH=p.gravity),p.numIter!=null&&(l.MAX_ITERATIONS=f.MAX_ITERATIONS=p.numIter),p.gravityRange!=null&&(l.DEFAULT_GRAVITY_RANGE_FACTOR=f.DEFAULT_GRAVITY_RANGE_FACTOR=p.gravityRange),p.gravityCompound!=null&&(l.DEFAULT_COMPOUND_GRAVITY_STRENGTH=f.DEFAULT_COMPOUND_GRAVITY_STRENGTH=p.gravityCompound),p.gravityRangeCompound!=null&&(l.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=f.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=p.gravityRangeCompound),p.initialEnergyOnIncremental!=null&&(l.DEFAULT_COOLING_FACTOR_INCREMENTAL=f.DEFAULT_COOLING_FACTOR_INCREMENTAL=p.initialEnergyOnIncremental),p.tilingCompareBy!=null&&(l.TILING_COMPARE_BY=p.tilingCompareBy),p.quality=="proof"?h.QUALITY=2:h.QUALITY=0,l.NODE_DIMENSIONS_INCLUDE_LABELS=f.NODE_DIMENSIONS_INCLUDE_LABELS=h.NODE_DIMENSIONS_INCLUDE_LABELS=p.nodeDimensionsIncludeLabels,l.DEFAULT_INCREMENTAL=f.DEFAULT_INCREMENTAL=h.DEFAULT_INCREMENTAL=!p.randomize,l.ANIMATE=f.ANIMATE=h.ANIMATE=p.animate,l.TILE=p.tile,l.TILING_PADDING_VERTICAL=typeof p.tilingPaddingVertical=="function"?p.tilingPaddingVertical.call():p.tilingPaddingVertical,l.TILING_PADDING_HORIZONTAL=typeof p.tilingPaddingHorizontal=="function"?p.tilingPaddingHorizontal.call():p.tilingPaddingHorizontal,l.DEFAULT_INCREMENTAL=f.DEFAULT_INCREMENTAL=h.DEFAULT_INCREMENTAL=!0,l.PURE_INCREMENTAL=!p.randomize,h.DEFAULT_UNIFORM_LEAF_NODE_SIZES=p.uniformNodeDimensions,p.step=="transformed"&&(l.TRANSFORM_ON_CONSTRAINT_HANDLING=!0,l.ENFORCE_CONSTRAINTS=!1,l.APPLY_LAYOUT=!1),p.step=="enforced"&&(l.TRANSFORM_ON_CONSTRAINT_HANDLING=!1,l.ENFORCE_CONSTRAINTS=!0,l.APPLY_LAYOUT=!1),p.step=="cose"&&(l.TRANSFORM_ON_CONSTRAINT_HANDLING=!1,l.ENFORCE_CONSTRAINTS=!1,l.APPLY_LAYOUT=!0),p.step=="all"&&(p.randomize?l.TRANSFORM_ON_CONSTRAINT_HANDLING=!0:l.TRANSFORM_ON_CONSTRAINT_HANDLING=!1,l.ENFORCE_CONSTRAINTS=!0,l.APPLY_LAYOUT=!0),p.fixedNodeConstraint||p.alignmentConstraint||p.relativePlacementConstraint?l.TREE_REDUCTION_ON_INCREMENTAL=!1:l.TREE_REDUCTION_ON_INCREMENTAL=!0;var O=new t,P=O.newGraphManager();return T(P.addRoot(),c.getTopMostNodes(S),O,p),d(O,P,B),D(O,p),O.runLayout(),k};n.exports={coseLayout:L}},212:(n,e,a)=>{var c=function(){function p(C,R){for(var A=0;A0)if(d){var P=i.getTopMostNodes(A.eles.nodes());if(s=i.connectComponents(S,A.eles,P),s.forEach(function(nt){var et=nt.boundingBox();E.push({x:et.x1+et.w/2,y:et.y1+et.h/2})}),A.randomize&&s.forEach(function(nt){A.eles=nt,Y.push(h(A))}),A.quality=="default"||A.quality=="proof"){var F=S.collection();if(A.tile){var I=new Map,Z=[],_=[],b=0,j={nodeIndexes:I,xCoords:Z,yCoords:_},V=[];if(s.forEach(function(nt,et){nt.edges().length==0&&(nt.nodes().forEach(function(pt,Et){F.merge(nt.nodes()[Et]),pt.isParent()||(j.nodeIndexes.set(nt.nodes()[Et].id(),b++),j.xCoords.push(nt.nodes()[0].position().x),j.yCoords.push(nt.nodes()[0].position().y))}),V.push(et))}),F.length>1){var M=F.boundingBox();E.push({x:M.x1+M.w/2,y:M.y1+M.h/2}),s.push(F),Y.push(j);for(var U=V.length-1;U>=0;U--)s.splice(V[U],1),Y.splice(V[U],1),E.splice(V[U],1)}}s.forEach(function(nt,et){A.eles=nt,k.push(l(A,Y[et])),i.relocateComponent(E[et],k[et],A)})}else s.forEach(function(nt,et){i.relocateComponent(E[et],Y[et],A)});var X=new Set;if(s.length>1){var J=[],st=B.filter(function(nt){return nt.css("display")=="none"});s.forEach(function(nt,et){var pt=void 0;if(A.quality=="draft"&&(pt=Y[et].nodeIndexes),nt.nodes().not(st).length>0){var Et={};Et.edges=[],Et.nodes=[];var Ct=void 0;nt.nodes().not(st).forEach(function(mt){if(A.quality=="draft")if(!mt.isParent())Ct=pt.get(mt.id()),Et.nodes.push({x:Y[et].xCoords[Ct]-mt.boundingbox().w/2,y:Y[et].yCoords[Ct]-mt.boundingbox().h/2,width:mt.boundingbox().w,height:mt.boundingbox().h});else{var Tt=i.calcBoundingBox(mt,Y[et].xCoords,Y[et].yCoords,pt);Et.nodes.push({x:Tt.topLeftX,y:Tt.topLeftY,width:Tt.width,height:Tt.height})}else k[et][mt.id()]&&Et.nodes.push({x:k[et][mt.id()].getLeft(),y:k[et][mt.id()].getTop(),width:k[et][mt.id()].getWidth(),height:k[et][mt.id()].getHeight()})}),nt.edges().forEach(function(mt){var Tt=mt.source(),Ot=mt.target();if(Tt.css("display")!="none"&&Ot.css("display")!="none")if(A.quality=="draft"){var It=pt.get(Tt.id()),Wt=pt.get(Ot.id()),Pt=[],Yt=[];if(Tt.isParent()){var bt=i.calcBoundingBox(Tt,Y[et].xCoords,Y[et].yCoords,pt);Pt.push(bt.topLeftX+bt.width/2),Pt.push(bt.topLeftY+bt.height/2)}else Pt.push(Y[et].xCoords[It]),Pt.push(Y[et].yCoords[It]);if(Ot.isParent()){var G=i.calcBoundingBox(Ot,Y[et].xCoords,Y[et].yCoords,pt);Yt.push(G.topLeftX+G.width/2),Yt.push(G.topLeftY+G.height/2)}else Yt.push(Y[et].xCoords[Wt]),Yt.push(Y[et].yCoords[Wt]);Et.edges.push({startX:Pt[0],startY:Pt[1],endX:Yt[0],endY:Yt[1]})}else k[et][Tt.id()]&&k[et][Ot.id()]&&Et.edges.push({startX:k[et][Tt.id()].getCenterX(),startY:k[et][Tt.id()].getCenterY(),endX:k[et][Ot.id()].getCenterX(),endY:k[et][Ot.id()].getCenterY()})}),Et.nodes.length>0&&(J.push(Et),X.add(et))}});var Lt=T.packComponents(J,A.randomize).shifts;if(A.quality=="draft")Y.forEach(function(nt,et){var pt=nt.xCoords.map(function(Ct){return Ct+Lt[et].dx}),Et=nt.yCoords.map(function(Ct){return Ct+Lt[et].dy});nt.xCoords=pt,nt.yCoords=Et});else{var St=0;X.forEach(function(nt){Object.keys(k[nt]).forEach(function(et){var pt=k[nt][et];pt.setCenter(pt.getCenterX()+Lt[St].dx,pt.getCenterY()+Lt[St].dy)}),St++})}}}else{var D=A.eles.boundingBox();if(E.push({x:D.x1+D.w/2,y:D.y1+D.h/2}),A.randomize){var O=h(A);Y.push(O)}A.quality=="default"||A.quality=="proof"?(k.push(l(A,Y[0])),i.relocateComponent(E[0],k[0],A)):i.relocateComponent(E[0],Y[0],A)}var Q=function(et,pt){if(A.quality=="default"||A.quality=="proof"){typeof et=="number"&&(et=pt);var Et=void 0,Ct=void 0,mt=et.data("id");return k.forEach(function(Ot){mt in Ot&&(Et={x:Ot[mt].getRect().getCenterX(),y:Ot[mt].getRect().getCenterY()},Ct=Ot[mt])}),A.nodeDimensionsIncludeLabels&&(Ct.labelWidth&&(Ct.labelPosHorizontal=="left"?Et.x+=Ct.labelWidth/2:Ct.labelPosHorizontal=="right"&&(Et.x-=Ct.labelWidth/2)),Ct.labelHeight&&(Ct.labelPosVertical=="top"?Et.y+=Ct.labelHeight/2:Ct.labelPosVertical=="bottom"&&(Et.y-=Ct.labelHeight/2))),Et==null&&(Et={x:et.position("x"),y:et.position("y")}),{x:Et.x,y:Et.y}}else{var Tt=void 0;return Y.forEach(function(Ot){var It=Ot.nodeIndexes.get(et.id());It!=null&&(Tt={x:Ot.xCoords[It],y:Ot.yCoords[It]})}),Tt==null&&(Tt={x:et.position("x"),y:et.position("y")}),{x:Tt.x,y:Tt.y}}};if(A.quality=="default"||A.quality=="proof"||A.randomize){var Ut=i.calcParentsWithoutChildren(S,B),wt=B.filter(function(nt){return nt.css("display")=="none"});A.eles=B.not(wt),B.nodes().not(":parent").not(wt).layoutPositions(R,A,Q),Ut.length>0&&Ut.forEach(function(nt){nt.position(Q(nt))})}else 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new file mode 100644 index 00000000..7c71bb03 --- /dev/null +++ b/build/_shared/basic-R4W3MPHH.js @@ -0,0 +1 @@ +import{a}from"/numpy-tutorials/build/_shared/chunk-TEESLJ7F.js";import"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";export default a(); diff --git a/build/_shared/basic-RFD4FF33.js b/build/_shared/basic-RFD4FF33.js new file mode 100644 index 00000000..37b87072 --- /dev/null +++ b/build/_shared/basic-RFD4FF33.js @@ -0,0 +1 @@ +import{c as R}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var I=R((O,T)=>{function N(E){return{name:"BASIC",case_insensitive:!0,illegal:"^.",keywords:{$pattern:"[a-zA-Z][a-zA-Z0-9_$%!#]*",keyword:"ABS ASC AND ATN AUTO|0 BEEP BLOAD|10 BSAVE|10 CALL CALLS CDBL CHAIN CHDIR CHR$|10 CINT CIRCLE CLEAR CLOSE CLS COLOR COM COMMON CONT COS CSNG CSRLIN CVD CVI CVS DATA DATE$ DEFDBL DEFINT DEFSNG DEFSTR DEF|0 SEG USR DELETE DIM DRAW EDIT END ENVIRON ENVIRON$ EOF EQV ERASE ERDEV ERDEV$ ERL ERR ERROR EXP FIELD FILES FIX FOR|0 FRE GET GOSUB|10 GOTO 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You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},"reject"),less:d(function(a){this.unput(this.match.slice(a))},"less"),pastInput:d(function(){var a=this.matched.substr(0,this.matched.length-this.match.length);return(a.length>20?"...":"")+a.substr(-20).replace(/\n/g,"")},"pastInput"),upcomingInput:d(function(){var a=this.match;return a.length<20&&(a+=this._input.substr(0,20-a.length)),(a.substr(0,20)+(a.length>20?"...":"")).replace(/\n/g,"")},"upcomingInput"),showPosition:d(function(){var a=this.pastInput(),c=new Array(a.length+1).join("-");return a+this.upcomingInput()+` +`+c+"^"},"showPosition"),test_match:d(function(a,c){var r,y,E;if(this.options.backtrack_lexer&&(E={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(E.yylloc.range=this.yylloc.range.slice(0))),y=a[0].match(/(?:\r\n?|\n).*/g),y&&(this.yylineno+=y.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:y?y[y.length-1].length-y[y.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+a[0].length},this.yytext+=a[0],this.match+=a[0],this.matches=a,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(a[0].length),this.matched+=a[0],r=this.performAction.call(this,this.yy,this,c,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),r)return r;if(this._backtrack){for(var i in E)this[i]=E[i];return!1}return!1},"test_match"),next:d(function(){if(this.done)return this.EOF;this._input||(this.done=!0);var a,c,r,y;this._more||(this.yytext="",this.match="");for(var E=this._currentRules(),i=0;ic[0].length)){if(c=r,y=i,this.options.backtrack_lexer){if(a=this.test_match(r,E[i]),a!==!1)return a;if(this._backtrack){c=!1;continue}else return!1}else if(!this.options.flex)break}return c?(a=this.test_match(c,E[y]),a!==!1?a:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},"next"),lex:d(function(){var c=this.next();return c||this.lex()},"lex"),begin:d(function(c){this.conditionStack.push(c)},"begin"),popState:d(function(){var c=this.conditionStack.length-1;return c>0?this.conditionStack.pop():this.conditionStack[0]},"popState"),_currentRules:d(function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},"_currentRules"),topState:d(function(c){return c=this.conditionStack.length-1-Math.abs(c||0),c>=0?this.conditionStack[c]:"INITIAL"},"topState"),pushState:d(function(c){this.begin(c)},"pushState"),stateStackSize:d(function(){return this.conditionStack.length},"stateStackSize"),options:{"case-insensitive":!0},performAction:d(function(c,r,y,E){var i=E;switch(y){case 0:return 38;case 1:return 40;case 2:return 39;case 3:return 44;case 4:return 51;case 5:return 52;case 6:return 53;case 7:return 54;case 8:break;case 9:break;case 10:return 5;case 11:break;case 12:break;case 13:break;case 14:break;case 15:return this.pushState("SCALE"),17;break;case 16:return 18;case 17:this.popState();break;case 18:return this.begin("acc_title"),33;break;case 19:return this.popState(),"acc_title_value";break;case 20:return this.begin("acc_descr"),35;break;case 21:return this.popState(),"acc_descr_value";break;case 22:this.begin("acc_descr_multiline");break;case 23:this.popState();break;case 24:return"acc_descr_multiline_value";case 25:return this.pushState("CLASSDEF"),41;break;case 26:return this.popState(),this.pushState("CLASSDEFID"),"DEFAULT_CLASSDEF_ID";break;case 27:return this.popState(),this.pushState("CLASSDEFID"),42;break;case 28:return this.popState(),43;break;case 29:return this.pushState("CLASS"),48;break;case 30:return this.popState(),this.pushState("CLASS_STYLE"),49;break;case 31:return this.popState(),50;break;case 32:return this.pushState("STYLE"),45;break;case 33:return this.popState(),this.pushState("STYLEDEF_STYLES"),46;break;case 34:return this.popState(),47;break;case 35:return this.pushState("SCALE"),17;break;case 36:return 18;case 37:this.popState();break;case 38:this.pushState("STATE");break;case 39:return this.popState(),r.yytext=r.yytext.slice(0,-8).trim(),25;break;case 40:return this.popState(),r.yytext=r.yytext.slice(0,-8).trim(),26;break;case 41:return this.popState(),r.yytext=r.yytext.slice(0,-10).trim(),27;break;case 42:return this.popState(),r.yytext=r.yytext.slice(0,-8).trim(),25;break;case 43:return this.popState(),r.yytext=r.yytext.slice(0,-8).trim(),26;break;case 44:return this.popState(),r.yytext=r.yytext.slice(0,-10).trim(),27;break;case 45:return 51;case 46:return 52;case 47:return 53;case 48:return 54;case 49:this.pushState("STATE_STRING");break;case 50:return this.pushState("STATE_ID"),"AS";break;case 51:return this.popState(),"ID";break;case 52:this.popState();break;case 53:return"STATE_DESCR";case 54:return 19;case 55:this.popState();break;case 56:return this.popState(),this.pushState("struct"),20;break;case 57:break;case 58:return this.popState(),21;break;case 59:break;case 60:return this.begin("NOTE"),29;break;case 61:return this.popState(),this.pushState("NOTE_ID"),59;break;case 62:return this.popState(),this.pushState("NOTE_ID"),60;break;case 63:this.popState(),this.pushState("FLOATING_NOTE");break;case 64:return this.popState(),this.pushState("FLOATING_NOTE_ID"),"AS";break;case 65:break;case 66:return"NOTE_TEXT";case 67:return this.popState(),"ID";break;case 68:return this.popState(),this.pushState("NOTE_TEXT"),24;break;case 69:return this.popState(),r.yytext=r.yytext.substr(2).trim(),31;break;case 70:return this.popState(),r.yytext=r.yytext.slice(0,-8).trim(),31;break;case 71:return 6;case 72:return 6;case 73:return 16;case 74:return 57;case 75:return 24;case 76:return r.yytext=r.yytext.trim(),14;break;case 77:return 15;case 78:return 28;case 79:return 58;case 80:return 5;case 81:return"INVALID"}},"anonymous"),rules:[/^(?:click\b)/i,/^(?:href\b)/i,/^(?:"[^"]*")/i,/^(?:default\b)/i,/^(?:.*direction\s+TB[^\n]*)/i,/^(?:.*direction\s+BT[^\n]*)/i,/^(?:.*direction\s+RL[^\n]*)/i,/^(?:.*direction\s+LR[^\n]*)/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n]+)/i,/^(?:[\s]+)/i,/^(?:((?!\n)\s)+)/i,/^(?:#[^\n]*)/i,/^(?:%[^\n]*)/i,/^(?:scale\s+)/i,/^(?:\d+)/i,/^(?:\s+width\b)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:classDef\s+)/i,/^(?:DEFAULT\s+)/i,/^(?:\w+\s+)/i,/^(?:[^\n]*)/i,/^(?:class\s+)/i,/^(?:(\w+)+((,\s*\w+)*))/i,/^(?:[^\n]*)/i,/^(?:style\s+)/i,/^(?:[\w,]+\s+)/i,/^(?:[^\n]*)/i,/^(?:scale\s+)/i,/^(?:\d+)/i,/^(?:\s+width\b)/i,/^(?:state\s+)/i,/^(?:.*<>)/i,/^(?:.*<>)/i,/^(?:.*<>)/i,/^(?:.*\[\[fork\]\])/i,/^(?:.*\[\[join\]\])/i,/^(?:.*\[\[choice\]\])/i,/^(?:.*direction\s+TB[^\n]*)/i,/^(?:.*direction\s+BT[^\n]*)/i,/^(?:.*direction\s+RL[^\n]*)/i,/^(?:.*direction\s+LR[^\n]*)/i,/^(?:["])/i,/^(?:\s*as\s+)/i,/^(?:[^\n\{]*)/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:[^\n\s\{]+)/i,/^(?:\n)/i,/^(?:\{)/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:\})/i,/^(?:[\n])/i,/^(?:note\s+)/i,/^(?:left of\b)/i,/^(?:right of\b)/i,/^(?:")/i,/^(?:\s*as\s*)/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:[^\n]*)/i,/^(?:\s*[^:\n\s\-]+)/i,/^(?:\s*:[^:\n;]+)/i,/^(?:[\s\S]*?end note\b)/i,/^(?:stateDiagram\s+)/i,/^(?:stateDiagram-v2\s+)/i,/^(?:hide empty description\b)/i,/^(?:\[\*\])/i,/^(?:[^:\n\s\-\{]+)/i,/^(?:\s*:[^:\n;]+)/i,/^(?:-->)/i,/^(?:--)/i,/^(?::::)/i,/^(?:$)/i,/^(?:.)/i],conditions:{LINE:{rules:[12,13],inclusive:!1},struct:{rules:[12,13,25,29,32,38,45,46,47,48,57,58,59,60,74,75,76,77,78],inclusive:!1},FLOATING_NOTE_ID:{rules:[67],inclusive:!1},FLOATING_NOTE:{rules:[64,65,66],inclusive:!1},NOTE_TEXT:{rules:[69,70],inclusive:!1},NOTE_ID:{rules:[68],inclusive:!1},NOTE:{rules:[61,62,63],inclusive:!1},STYLEDEF_STYLEOPTS:{rules:[],inclusive:!1},STYLEDEF_STYLES:{rules:[34],inclusive:!1},STYLE_IDS:{rules:[],inclusive:!1},STYLE:{rules:[33],inclusive:!1},CLASS_STYLE:{rules:[31],inclusive:!1},CLASS:{rules:[30],inclusive:!1},CLASSDEFID:{rules:[28],inclusive:!1},CLASSDEF:{rules:[26,27],inclusive:!1},acc_descr_multiline:{rules:[23,24],inclusive:!1},acc_descr:{rules:[21],inclusive:!1},acc_title:{rules:[19],inclusive:!1},SCALE:{rules:[16,17,36,37],inclusive:!1},ALIAS:{rules:[],inclusive:!1},STATE_ID:{rules:[51],inclusive:!1},STATE_STRING:{rules:[52,53],inclusive:!1},FORK_STATE:{rules:[],inclusive:!1},STATE:{rules:[12,13,39,40,41,42,43,44,49,50,54,55,56],inclusive:!1},ID:{rules:[12,13],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,15,18,20,22,25,29,32,35,38,56,60,71,72,73,74,75,76,77,79,80,81],inclusive:!0}}};return Y}();gt.lexer=ce;function ct(){this.yy={}}return d(ct,"Parser"),ct.prototype=gt,gt.Parser=ct,new ct}();vt.parser=vt;var He=vt,fe="TB",Jt="TB",Ut="dir",K="state",z="root",Ct="relation",pe="classDef",Se="style",ye="applyClass",Z="default",qt="divider",Qt="fill:none",Zt="fill: #333",te="c",ee="text",se="normal",mt="rect",Dt="rectWithTitle",ge="stateStart",Te="stateEnd",jt="divider",Ht="roundedWithTitle",Ee="note",be="noteGroup",tt="statediagram",_e="state",ke=`${tt}-${_e}`,ie="transition",me="note",De="note-edge",ve=`${ie} ${De}`,Ce=`${tt}-${me}`,Ae="cluster",xe=`${tt}-${Ae}`,Le="cluster-alt",Ie=`${tt}-${Le}`,re="parent",ae="note",Oe="state",At="----",Re=`${At}${ae}`,Wt=`${At}${re}`,ne=d((t,e=Jt)=>{if(!t.doc)return e;let o=e;for(let s of t.doc)s.stmt==="dir"&&(o=s.value);return o},"getDir"),Ne=d(function(t,e){return e.db.getClasses()},"getClasses"),we=d(async function(t,e,o,s){b.info("REF0:"),b.info("Drawing state diagram (v2)",e);let{securityLevel:h,state:u,layout:S}=w();s.db.extract(s.db.getRootDocV2());let g=s.db.getData(),n=Vt(e,h);g.type=s.type,g.layoutAlgorithm=S,g.nodeSpacing=u?.nodeSpacing||50,g.rankSpacing=u?.rankSpacing||50,g.markers=["barb"],g.diagramId=e,await Bt(g,n);let T=8;try{(typeof s.db.getLinks=="function"?s.db.getLinks():new Map).forEach((A,x)=>{let D=typeof x=="string"?x:typeof x?.id=="string"?x.id:"";if(!D){b.warn("\u26A0\uFE0F Invalid or missing stateId from key:",JSON.stringify(x));return}let f=n.node()?.querySelectorAll("g"),m;if(f?.forEach(I=>{I.textContent?.trim()===D&&(m=I)}),!m){b.warn("\u26A0\uFE0F Could not find node matching text:",D);return}let R=m.parentNode;if(!R){b.warn("\u26A0\uFE0F Node has no parent, cannot wrap:",D);return}let L=document.createElementNS("http://www.w3.org/2000/svg","a"),$=A.url.replace(/^"+|"+$/g,"");if(L.setAttributeNS("http://www.w3.org/1999/xlink","xlink:href",$),L.setAttribute("target","_blank"),A.tooltip){let I=A.tooltip.replace(/^"+|"+$/g,"");L.setAttribute("title",I)}R.replaceChild(L,m),L.appendChild(m),b.info("\u{1F517} Wrapped node in tag for:",D,A.url)})}catch(k){b.error("\u274C Error injecting clickable links:",k)}Gt.insertTitle(n,"statediagramTitleText",u?.titleTopMargin??25,s.db.getDiagramTitle()),Mt(n,T,tt,u?.useMaxWidth??!0)},"draw"),We={getClasses:Ne,draw:we,getDir:ne},St=new Map,B=0;function yt(t="",e=0,o="",s=At){let h=o!==null&&o.length>0?`${s}${o}`:"";return`${Oe}-${t}${h}-${e}`}d(yt,"stateDomId");var $e=d((t,e,o,s,h,u,S,g)=>{b.trace("items",e),e.forEach(n=>{switch(n.stmt){case K:Q(t,n,o,s,h,u,S,g);break;case Z:Q(t,n,o,s,h,u,S,g);break;case Ct:{Q(t,n.state1,o,s,h,u,S,g),Q(t,n.state2,o,s,h,u,S,g);let T={id:"edge"+B,start:n.state1.id,end:n.state2.id,arrowhead:"normal",arrowTypeEnd:"arrow_barb",style:Qt,labelStyle:"",label:G.sanitizeText(n.description??"",w()),arrowheadStyle:Zt,labelpos:te,labelType:ee,thickness:se,classes:ie,look:S};h.push(T),B++}break}})},"setupDoc"),zt=d((t,e=Jt)=>{let o=e;if(t.doc)for(let s of t.doc)s.stmt==="dir"&&(o=s.value);return o},"getDir");function q(t,e,o){if(!e.id||e.id===""||e.id==="")return;e.cssClasses&&(Array.isArray(e.cssCompiledStyles)||(e.cssCompiledStyles=[]),e.cssClasses.split(" ").forEach(h=>{let u=o.get(h);u&&(e.cssCompiledStyles=[...e.cssCompiledStyles??[],...u.styles])}));let s=t.find(h=>h.id===e.id);s?Object.assign(s,e):t.push(e)}d(q,"insertOrUpdateNode");function oe(t){return t?.classes?.join(" ")??""}d(oe,"getClassesFromDbInfo");function le(t){return t?.styles??[]}d(le,"getStylesFromDbInfo");var Q=d((t,e,o,s,h,u,S,g)=>{let n=e.id,T=o.get(n),k=oe(T),A=le(T),x=w();if(b.info("dataFetcher parsedItem",e,T,A),n!=="root"){let D=mt;e.start===!0?D=ge:e.start===!1&&(D=Te),e.type!==Z&&(D=e.type),St.get(n)||St.set(n,{id:n,shape:D,description:G.sanitizeText(n,x),cssClasses:`${k} ${ke}`,cssStyles:A});let f=St.get(n);e.description&&(Array.isArray(f.description)?(f.shape=Dt,f.description.push(e.description)):f.description?.length&&f.description.length>0?(f.shape=Dt,f.description===n?f.description=[e.description]:f.description=[f.description,e.description]):(f.shape=mt,f.description=e.description),f.description=G.sanitizeTextOrArray(f.description,x)),f.description?.length===1&&f.shape===Dt&&(f.type==="group"?f.shape=Ht:f.shape=mt),!f.type&&e.doc&&(b.info("Setting cluster for XCX",n,zt(e)),f.type="group",f.isGroup=!0,f.dir=zt(e),f.shape=e.type===qt?jt:Ht,f.cssClasses=`${f.cssClasses} ${xe} ${u?Ie:""}`);let m={labelStyle:"",shape:f.shape,label:f.description,cssClasses:f.cssClasses,cssCompiledStyles:[],cssStyles:f.cssStyles,id:n,dir:f.dir,domId:yt(n,B),type:f.type,isGroup:f.type==="group",padding:8,rx:10,ry:10,look:S};if(m.shape===jt&&(m.label=""),t&&t.id!=="root"&&(b.trace("Setting node ",n," to be child of its parent ",t.id),m.parentId=t.id),m.centerLabel=!0,e.note){let R={labelStyle:"",shape:Ee,label:e.note.text,cssClasses:Ce,cssStyles:[],cssCompiledStyles:[],id:n+Re+"-"+B,domId:yt(n,B,ae),type:f.type,isGroup:f.type==="group",padding:x.flowchart?.padding,look:S,position:e.note.position},L=n+Wt,$={labelStyle:"",shape:be,label:e.note.text,cssClasses:f.cssClasses,cssStyles:[],id:n+Wt,domId:yt(n,B,re),type:"group",isGroup:!0,padding:16,look:S,position:e.note.position};B++,$.id=L,R.parentId=L,q(s,$,g),q(s,R,g),q(s,m,g);let I=n,P=R.id;e.note.position==="left of"&&(I=R.id,P=n),h.push({id:I+"-"+P,start:I,end:P,arrowhead:"none",arrowTypeEnd:"",style:Qt,labelStyle:"",classes:ve,arrowheadStyle:Zt,labelpos:te,labelType:ee,thickness:se,look:S})}else q(s,m,g)}e.doc&&(b.trace("Adding nodes children "),$e(e,e.doc,o,s,h,!u,S,g))},"dataFetcher"),Pe=d(()=>{St.clear(),B=0},"reset"),C={START_NODE:"[*]",START_TYPE:"start",END_NODE:"[*]",END_TYPE:"end",COLOR_KEYWORD:"color",FILL_KEYWORD:"fill",BG_FILL:"bgFill",STYLECLASS_SEP:","},Kt=d(()=>new Map,"newClassesList"),Xt=d(()=>({relations:[],states:new Map,documents:{}}),"newDoc"),pt=d(t=>JSON.parse(JSON.stringify(t)),"clone"),ze=class{constructor(t){this.version=t,this.nodes=[],this.edges=[],this.rootDoc=[],this.classes=Kt(),this.documents={root:Xt()},this.currentDocument=this.documents.root,this.startEndCount=0,this.dividerCnt=0,this.links=new Map,this.getAccTitle=Nt,this.setAccTitle=Rt,this.getAccDescription=$t,this.setAccDescription=wt,this.setDiagramTitle=Pt,this.getDiagramTitle=Ft,this.clear(),this.setRootDoc=this.setRootDoc.bind(this),this.getDividerId=this.getDividerId.bind(this),this.setDirection=this.setDirection.bind(this),this.trimColon=this.trimColon.bind(this)}static{d(this,"StateDB")}static{this.relationType={AGGREGATION:0,EXTENSION:1,COMPOSITION:2,DEPENDENCY:3}}extract(t){this.clear(!0);for(let s of Array.isArray(t)?t:t.doc)switch(s.stmt){case K:this.addState(s.id.trim(),s.type,s.doc,s.description,s.note);break;case Ct:this.addRelation(s.state1,s.state2,s.description);break;case pe:this.addStyleClass(s.id.trim(),s.classes);break;case Se:this.handleStyleDef(s);break;case ye:this.setCssClass(s.id.trim(),s.styleClass);break;case"click":this.addLink(s.id,s.url,s.tooltip);break}let e=this.getStates(),o=w();Pe(),Q(void 0,this.getRootDocV2(),e,this.nodes,this.edges,!0,o.look,this.classes);for(let s of 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e=this.getDirectionStatement();e?e.value=t:this.rootDoc.unshift({stmt:Ut,value:t})}trimColon(t){return t.startsWith(":")?t.slice(1).trim():t.trim()}getData(){let t=w();return{nodes:this.nodes,edges:this.edges,other:{},config:t,direction:ne(this.getRootDocV2())}}getConfig(){return w().state}},Fe=d(t=>` +defs #statediagram-barbEnd { + fill: ${t.transitionColor}; + stroke: ${t.transitionColor}; + } +g.stateGroup text { + fill: ${t.nodeBorder}; + stroke: none; + font-size: 10px; +} +g.stateGroup text { + fill: ${t.textColor}; + stroke: none; + font-size: 10px; + +} +g.stateGroup .state-title { + font-weight: bolder; + fill: ${t.stateLabelColor}; +} + +g.stateGroup rect { + fill: ${t.mainBkg}; + stroke: ${t.nodeBorder}; +} + +g.stateGroup line { + stroke: ${t.lineColor}; + stroke-width: 1; +} + +.transition { + stroke: ${t.transitionColor}; + stroke-width: 1; + fill: none; +} + +.stateGroup .composit { + fill: ${t.background}; + border-bottom: 1px +} + +.stateGroup .alt-composit { + fill: #e0e0e0; + border-bottom: 1px +} + +.state-note { + stroke: ${t.noteBorderColor}; + fill: ${t.noteBkgColor}; + + text { + fill: ${t.noteTextColor}; + stroke: none; + font-size: 10px; + } +} + +.stateLabel .box { + stroke: none; + stroke-width: 0; + fill: ${t.mainBkg}; + opacity: 0.5; +} + +.edgeLabel .label rect { + fill: ${t.labelBackgroundColor}; + opacity: 0.5; +} +.edgeLabel { + background-color: ${t.edgeLabelBackground}; + p { + background-color: ${t.edgeLabelBackground}; + } + rect { + opacity: 0.5; + background-color: ${t.edgeLabelBackground}; + fill: ${t.edgeLabelBackground}; + } + text-align: center; +} +.edgeLabel .label text { + fill: ${t.transitionLabelColor||t.tertiaryTextColor}; +} +.label div .edgeLabel { + color: ${t.transitionLabelColor||t.tertiaryTextColor}; +} + +.stateLabel text { + fill: ${t.stateLabelColor}; + font-size: 10px; + font-weight: bold; +} + +.node circle.state-start { + fill: ${t.specialStateColor}; + stroke: ${t.specialStateColor}; +} + +.node .fork-join { + fill: ${t.specialStateColor}; + stroke: ${t.specialStateColor}; +} + +.node circle.state-end { + fill: ${t.innerEndBackground}; + stroke: ${t.background}; + stroke-width: 1.5 +} +.end-state-inner { + fill: ${t.compositeBackground||t.background}; + // stroke: ${t.background}; + stroke-width: 1.5 +} + +.node rect { + fill: ${t.stateBkg||t.mainBkg}; + stroke: ${t.stateBorder||t.nodeBorder}; + stroke-width: 1px; +} +.node polygon { + fill: ${t.mainBkg}; + stroke: ${t.stateBorder||t.nodeBorder};; + stroke-width: 1px; +} +#statediagram-barbEnd { + fill: ${t.lineColor}; +} + +.statediagram-cluster rect { + fill: ${t.compositeTitleBackground}; + stroke: ${t.stateBorder||t.nodeBorder}; + stroke-width: 1px; +} + +.cluster-label, .nodeLabel { + color: ${t.stateLabelColor}; + // line-height: 1; +} + +.statediagram-cluster rect.outer { + rx: 5px; + ry: 5px; +} +.statediagram-state .divider { + stroke: ${t.stateBorder||t.nodeBorder}; +} + +.statediagram-state .title-state { + rx: 5px; + ry: 5px; +} +.statediagram-cluster.statediagram-cluster .inner { + fill: ${t.compositeBackground||t.background}; +} +.statediagram-cluster.statediagram-cluster-alt .inner { + fill: ${t.altBackground?t.altBackground:"#efefef"}; +} + +.statediagram-cluster .inner { + rx:0; + ry:0; +} + +.statediagram-state rect.basic { + rx: 5px; + ry: 5px; +} +.statediagram-state rect.divider { + stroke-dasharray: 10,10; + fill: ${t.altBackground?t.altBackground:"#efefef"}; +} + +.note-edge { + stroke-dasharray: 5; +} + +.statediagram-note rect { + fill: ${t.noteBkgColor}; + stroke: ${t.noteBorderColor}; + stroke-width: 1px; + rx: 0; + ry: 0; +} +.statediagram-note rect { + fill: ${t.noteBkgColor}; + stroke: ${t.noteBorderColor}; + stroke-width: 1px; + rx: 0; + ry: 0; +} + +.statediagram-note text { + fill: ${t.noteTextColor}; +} + +.statediagram-note .nodeLabel { + color: ${t.noteTextColor}; +} +.statediagram .edgeLabel { + color: red; // ${t.noteTextColor}; +} + +#dependencyStart, #dependencyEnd { + fill: ${t.lineColor}; + stroke: ${t.lineColor}; + stroke-width: 1; +} + +.statediagramTitleText { + text-anchor: middle; + font-size: 18px; + fill: ${t.textColor}; +} +`,"getStyles"),Ke=Fe;export{He as a,We as b,ze as c,Ke as d}; diff --git a/build/_shared/chunk-5736WJYA.js b/build/_shared/chunk-5736WJYA.js new file mode 100644 index 00000000..8e912c86 --- /dev/null +++ b/build/_shared/chunk-5736WJYA.js @@ -0,0 +1 @@ +import{a as g}from"/numpy-tutorials/build/_shared/chunk-I232HDZP.js";import{c as t}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var l=t((s,r)=>{var n=g();r.exports=a;a.displayName="racket";a.aliases=["rkt"];function a(e){e.register(n),e.languages.racket=e.languages.extend("scheme",{"lambda-parameter":{pattern:/([(\[]lambda\s+[(\[])[^()\[\]'\s]+/,lookbehind:!0}}),e.languages.insertBefore("racket","string",{lang:{pattern:/^#lang.+/m,greedy:!0,alias:"keyword"}}),e.languages.rkt=e.languages.racket}});export{l as a}; diff --git a/build/_shared/chunk-5BDQQ53J.js b/build/_shared/chunk-5BDQQ53J.js new file mode 100644 index 00000000..2138c762 --- /dev/null +++ b/build/_shared/chunk-5BDQQ53J.js @@ -0,0 +1 @@ +import{a as n}from"/numpy-tutorials/build/_shared/chunk-C2LAERNE.js";import{a as g}from"/numpy-tutorials/build/_shared/chunk-SWM73M5L.js";import{c as a}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var l=a((u,r)=>{var i=g(),s=n();r.exports=t;t.displayName="t4Vb";t.aliases=[];function t(e){e.register(i),e.register(s),e.languages["t4-vb"]=e.languages["t4-templating"].createT4("vbnet")}});export{l as a}; diff --git a/build/_shared/chunk-5E4MRVCJ.js b/build/_shared/chunk-5E4MRVCJ.js new file mode 100644 index 00000000..c6571ff0 --- /dev/null +++ b/build/_shared/chunk-5E4MRVCJ.js @@ -0,0 +1 @@ +import{c as a}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var o=a((r,n)=>{n.exports=t;t.displayName="moonscript";t.aliases=["moon"];function 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as a}; diff --git a/build/_shared/chunk-5GONE7L7.js b/build/_shared/chunk-5GONE7L7.js new file mode 100644 index 00000000..73ece535 --- /dev/null +++ b/build/_shared/chunk-5GONE7L7.js @@ -0,0 +1 @@ +import{a as n,b as s,c as i,d as l,e as f,f as o,g as d,n as m,o as c,q as p}from"/numpy-tutorials/build/_shared/chunk-ILONG3JM.js";var u=class extends p{static{o(this,"TreemapTokenBuilder")}constructor(){super(["treemap"])}},v=/classDef\s+([A-Z_a-z]\w+)(?:\s+([^\n\r;]*))?;?/,g=class extends c{static{o(this,"TreemapValueConverter")}runCustomConverter(r,e,t){if(r.name==="NUMBER2")return parseFloat(e.replace(/,/g,""));if(r.name==="SEPARATOR")return e.substring(1,e.length-1);if(r.name==="STRING2")return e.substring(1,e.length-1);if(r.name==="INDENTATION")return e.length;if(r.name==="ClassDef"){if(typeof e!="string")return e;let a=v.exec(e);if(a)return{$type:"ClassDefStatement",className:a[1],styleText:a[2]||void 0}}}};function T(r){let e=r.validation.TreemapValidator,t=r.validation.ValidationRegistry;if(t){let a={Treemap:e.checkSingleRoot.bind(e)};t.register(a,e)}}o(T,"registerValidationChecks");var h=class{static{o(this,"TreemapValidator")}checkSingleRoot(r,e){let t;for(let a of r.TreemapRows)a.item&&(t===void 0&&a.indent===void 0?t=0:a.indent===void 0?e("error","Multiple root nodes are not allowed in a treemap.",{node:a,property:"item"}):t!==void 0&&t>=parseInt(a.indent,10)&&e("error","Multiple root nodes are not allowed in a treemap.",{node:a,property:"item"}))}},C={parser:{TokenBuilder:o(()=>new u,"TokenBuilder"),ValueConverter:o(()=>new g,"ValueConverter")},validation:{TreemapValidator:o(()=>new h,"TreemapValidator")}};function V(r=l){let e=i(s(r),d),t=i(n({shared:e}),m,C);return e.ServiceRegistry.register(t),T(t),{shared:e,Treemap:t}}o(V,"createTreemapServices");export{C as a,V as b}; diff --git a/build/_shared/chunk-5LDMESXP.js b/build/_shared/chunk-5LDMESXP.js new file mode 100644 index 00000000..b18135c9 --- /dev/null +++ b/build/_shared/chunk-5LDMESXP.js @@ -0,0 +1 @@ +import{a as i}from"/numpy-tutorials/build/_shared/chunk-CBDDV5MN.js";import{c as t}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var r=t((o,a)=>{var s=i();a.exports=n;n.displayName="bison";n.aliases=[];function n(e){e.register(s),e.languages.bison=e.languages.extend("c",{}),e.languages.insertBefore("bison","comment",{bison:{pattern:/^(?:[^%]|%(?!%))*%%[\s\S]*?%%/,inside:{c:{pattern:/%\{[\s\S]*?%\}|\{(?:\{[^}]*\}|[^{}])*\}/,inside:{delimiter:{pattern:/^%?\{|%?\}$/,alias:"punctuation"},"bison-variable":{pattern:/[$@](?:<[^\s>]+>)?[\w$]+/,alias:"variable",inside:{punctuation:/<|>/}},rest:e.languages.c}},comment:e.languages.c.comment,string:e.languages.c.string,property:/\S+(?=:)/,keyword:/%\w+/,number:{pattern:/(^|[^@])\b(?:0x[\da-f]+|\d+)/i,lookbehind:!0},punctuation:/%[%?]|[|:;\[\]<>]/}}})}});export{r as a}; diff --git a/build/_shared/chunk-5MJ7SY2U.js b/build/_shared/chunk-5MJ7SY2U.js new file mode 100644 index 00000000..abd88317 --- /dev/null +++ b/build/_shared/chunk-5MJ7SY2U.js @@ -0,0 +1 @@ +import{c as b}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var k=b((g,l)=>{l.exports=s;s.displayName="robotframework";s.aliases=[];function s(p){(function(n){var u={pattern:/(^[ \t]*| {2}|\t)#.*/m,lookbehind:!0,greedy:!0},r={pattern:/((?:^|[^\\])(?:\\{2})*)[$@&%]\{(?:[^{}\r\n]|\{[^{}\r\n]*\})*\}/,lookbehind:!0,inside:{punctuation:/^[$@&%]\{|\}$/}};function e(m,c){var t={};t["section-header"]={pattern:/^ ?\*{3}.+?\*{3}/,alias:"keyword"};for(var d in c)t[d]=c[d];return t.tag={pattern:/([\r\n](?: {2}|\t)[ \t]*)\[[-\w]+\]/,lookbehind:!0,inside:{punctuation:/\[|\]/}},t.variable=r,t.comment=u,{pattern:RegExp(/^ ?\*{3}[ \t]*[ \t]*\*{3}(?:.|[\r\n](?!\*{3}))*/.source.replace(//g,function(){return m}),"im"),alias:"section",inside:t}}var a={pattern:/(\[Documentation\](?: {2}|\t)[ \t]*)(?![ \t]|#)(?:.|(?:\r\n?|\n)[ \t]*\.{3})+/,lookbehind:!0,alias:"string"},o={pattern:/([\r\n] ?)(?!#)(?:\S(?:[ 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b/build/_shared/chunk-5RAPCLNV.js new file mode 100644 index 00000000..e7b2e5e3 --- /dev/null +++ b/build/_shared/chunk-5RAPCLNV.js @@ -0,0 +1 @@ +import{c as n}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var r=n((o,t)=>{t.exports=e;e.displayName="erlang";e.aliases=[];function 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K;if(S!==-1&&this.info.records>=S){this.state.stop=!0,o();return}}this.state.commenting=!1,p+=A-1;continue}if(this.state.commenting)continue;if(b!==null&&(c===!1||this.state.record.length===0&&this.state.field.length===0)&&this.__compareBytes(b,v,p,O)!==0){this.state.commenting=!0;continue}let z=this.__isDelimiter(v,p,O);if(z!==0){this.info.bytes=this.state.bufBytesStart+p;let M=this.__onField();if(M!==void 0)return M;p+=z-1;continue}}}if(this.state.commenting===!1&&_!==0&&this.state.record_length+this.state.field.length>_)return this.__error(new w("CSV_MAX_RECORD_SIZE",["Max Record Size:","record exceed the maximum number of tolerated bytes",`of ${_}`,`at line ${this.info.lines}`],this.options,this.__infoField()));let V=d===!1||this.state.quoting===!0||this.state.field.length!==0||!this.__isCharTrimable(v,p),xt=g===!1||this.state.wasQuoting===!1;if(V===!0&&xt===!0)this.state.field.append(O);else{if(g===!0&&!this.__isCharTrimable(v,p))return this.__error(new w("CSV_NON_TRIMABLE_CHAR_AFTER_CLOSING_QUOTE",["Invalid Closing Quote:","found non trimable byte after quote",`at line ${this.info.lines}`],this.options,this.__infoField()));V===!1&&(p+=this.__isCharTrimable(v,p)-1);continue}}if(r===!0)if(this.state.quoting===!0){let O=this.__error(new w("CSV_QUOTE_NOT_CLOSED",["Quote Not Closed:",`the parsing is finished with an opening quote at line ${this.info.lines}`],this.options,this.__infoField()));if(O!==void 0)return O}else if(this.state.wasQuoting===!0||this.state.record.length!==0||this.state.field.length!==0){this.info.bytes=this.state.bufBytesStart+p;let O=this.__onField();if(O!==void 0)return O;let V=this.__onRecord(s);if(V!==void 0)return V}else this.state.wasRowDelimiter===!0?this.info.empty_lines++:this.state.commenting===!0&&this.info.comment_lines++;else this.state.bufBytesStart+=p,this.state.previousBuf=v.slice(p);this.state.wasRowDelimiter===!0&&(this.info.lines++,this.state.wasRowDelimiter=!1)},__onRecord:function(n){let{columns:r,group_columns_by_name:s,encoding:o,info:l,from:c,relax_column_count:u,relax_column_count_less:f,relax_column_count_more:d,raw:_,skip_records_with_empty_values:y}=this.options,{enabled:x,record:g}=this.state;if(x===!1)return this.__resetRecord();let D=g.length;if(r===!0){if(y===!0&&Ve(g)){this.__resetRecord();return}return this.__firstLineToColumns(g)}if(r===!1&&this.info.records===0&&(this.state.expectedRecordLength=D),D!==this.state.expectedRecordLength){let S=r===!1?new w("CSV_RECORD_INCONSISTENT_FIELDS_LENGTH",["Invalid Record Length:",`expect ${this.state.expectedRecordLength},`,`got ${D} on line ${this.info.lines}`],this.options,this.__infoField(),{record:g}):new w("CSV_RECORD_INCONSISTENT_COLUMNS",["Invalid Record Length:",`columns length is ${r.length},`,`got ${D} on line 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st={name:"table",arg:{type:"myst",doc:"An optional table caption"},options:{...m("table"),class:{type:String,doc:"CSS classes to add to your table. 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":o==="space"?" ":o,ltrim:!t?.keepspace,escape:(r=t?.escape)!==null&&r!==void 0?r:'"',quote:(s=t?.quote)!==null&&s!==void 0?s:'"'}).map((c,u)=>c.map(f=>{let d=e.parseMyst(f,u);return U("*:root > paragraph:only-child",d)}))}var at={name:"csv-table",doc:'The "csv-table" directive is used to create a table from CSV (comma-separated values) data.',arg:{type:"myst",doc:"An optional table caption"},options:{...m("CSV table"),header:{type:String,doc:"Supplemental data for the table header, added independently of and before any header-rows from the main CSV data. Must use the same CSV format as the main CSV data."},"header-rows":{type:Number,doc:"The number of rows of CSV data to use in the table header. Defaults to 0."},class:{type:String,doc:"CSS classes to add to your table. Special classes include:\n\n- `full-width`: changes the table environment to cover two columns in LaTeX"},align:{type:String},delim:{type:String,doc:'The character used to separate data fields. 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If not provided, LaTeX content will be converted to Typst."}},body:{type:String,required:!0},run(i){var e;let t=h(i,{type:"math",value:i.body});return i.node.tight&&(t.tight=i.node.tight),!((e=i.options)===null||e===void 0)&&e.typst&&(t.typst=i.options.typst),[t]}};var dt={name:"mdast",arg:{type:String,required:!0},options:{...m("mdast")},run(i){let e={type:"mdast",id:i.arg};return h(i,e),[e]}};var ht={name:"mermaid",options:{...m("mermaid")},body:{type:String,required:!0},run(i){return[h(i,{type:"mermaid",value:i.body})]}};var pt={name:"myst",doc:"Demonstrate some MyST code in an editable code block that displays its output/result interactively. Limited to built-in functionality, as parsing and rendering is done in the browser without access to plugin code or project configuration.",options:{...m("myst"),numbering:{type:String}},body:{type:String,required:!0},run(i){var e;let t;if(!((e=i.options)===null||e===void 0)&&e.numbering)try{t=te.load(i.options.numbering)}catch{}let n={type:"myst",numbering:t,value:i.body};return h(i,n),[n]}};var mt=St(It(),1);var gt={name:"blockquote",alias:["epigraph","pull-quote"],doc:"Block quotes are used to indicate that the enclosed content forms an extended quotation. They may be followed by an inscription or attribution formed of a paragraph beginning with `--`, `---`, or an em-dash.",options:{...m("blockquote"),class:{type:String,doc:"CSS classes to add to your blockquote. Special classes include:\n\n- `pull-quote`: used for a blockquote node which should attract attention\n- `epigraph`: used for a blockquote node that are usually found at the beginning of a document"}},body:{type:"myst",doc:"The body of the quote, which may contain a special attribution paragraph that is turned into a caption"},run(i){var e;let t=[];i.body&&t.push(...i.body);let n={type:"container",kind:"quote",children:[{type:"blockquote",children:t}]};h(i,n);let r=(e=i.options)===null||e===void 0?void 0:e.class;return n.class=(0,mt.default)({[r]:r,[i.name]:i.name!=="blockquote"}),[n]}};var _t={name:"raw",doc:'Allows you to include non-markdown text in your document. If the argument "latex" is provided, the text will be parsed as latex; otherwise, it will be included as raw text.',arg:{type:String,doc:'Format of directive content - for now, only "latex" is valid'},body:{type:String,doc:"Raw content to be parsed"},run(i){var e,t;let n=(e=i.arg)!==null&&e!==void 0?e:"",r=(t=i.body)!==null&&t!==void 0?t:"",s=["tex","latex"].includes(n)?` +${r} +`:void 0,o=["typst","typ"].includes(n)?` +${r} +`:void 0;return[{type:"raw",lang:n,tex:s,typst:o,value:r}]}},yt={name:"raw:latex",alias:["raw:tex"],doc:"Allows you to include tex in your document that will only be included in tex exports",body:{type:String,doc:"Raw tex content"},run(i){let e="tex",t=i.body,n=t?` +${t} +`:"";return[{type:"raw",lang:e,tex:n}]}},vt={name:"raw:typst",alias:["raw:typ"],doc:"Allows you to include typst in your document that will only be included in typst exports",body:{type:String,doc:"Raw typst content"},run(i){let e="typst",t=i.body,n=t?` +${t} +`:"";return[{type:"raw",lang:e,typst:n}]}};var wt={name:"div",options:{...m("div")},body:{type:"myst"},run(i){let e={type:"div"};return i.body&&(e.children=i.body),h(i,e),[e]}};var bi=["project","page","section"],bt={name:"toc",doc:"Inserts table of contents in the page. 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B.set(t)}updateDeco(){let t=1,e=this.view.state.facet(Ai).map(r=>(this.dynamicDecorationMap[t++]=typeof r=="function")?r(this.view):r),i=!1,s=this.view.state.facet(_l).map((r,o)=>{let l=typeof r=="function";return l&&(i=!0),l?r(this.view):r});for(s.length&&(this.dynamicDecorationMap[t++]=i,e.push(L.join(s))),this.decorations=[this.editContextFormatting,...e,this.computeBlockGapDeco(),this.view.viewState.lineGapDeco];te.anchor?-1:1),s;if(!i)return;!e.empty&&(s=this.coordsAt(e.anchor,e.anchor>e.head?-1:1))&&(i={left:Math.min(i.left,s.left),top:Math.min(i.top,s.top),right:Math.max(i.right,s.right),bottom:Math.max(i.bottom,s.bottom)});let r=Xl(this.view),o={left:i.left-r.left,top:i.top-r.top,right:i.right+r.right,bottom:i.bottom+r.bottom},{offsetWidth:l,offsetHeight:h}=this.view.scrollDOM;Va(this.view.scrollDOM,o,e.heads instanceof Kt||s.children.some(i);return i(this.children[e])}};ff=class{constructor(){this.changes=[]}compareRange(t,e){hs(t,e,this.changes)}comparePoint(t,e){hs(t,e,this.changes)}boundChange(t){hs(t,t,this.changes)}};di="\uFFFF",Ln=class{constructor(t,e){this.points=t,this.text="",this.lineSeparator=e.facet(I.lineSeparator)}append(t){this.text+=t}lineBreak(){this.text+=di}readRange(t,e){if(!t)return this;let i=t.parentNode;for(let s=t;;){this.findPointBefore(i,s);let r=this.text.length;this.readNode(s);let o=s.nextSibling;if(o==e)break;let l=W.get(s),h=W.get(o);(l&&h?l.breakAfter:(l?l.breakAfter:us(s))||us(o)&&(s.nodeName!="BR"||s.cmIgnore)&&this.text.length>r)&&!Sf(o,e)&&this.lineBreak(),s=o}return this.findPointBefore(i,e),this}readTextNode(t){let e=t.nodeValue;for(let i of this.points)i.node==t&&(i.pos=this.text.length+Math.min(i.offset,e.length));for(let i=0,s=this.lineSeparator?null:/\r\n?|\n/g;;){let r=-1,o=1,l;if(this.lineSeparator?(r=e.indexOf(this.lineSeparator,i),o=this.lineSeparator.length):(l=s.exec(e))&&(r=l.index,o=l[0].length),this.append(e.slice(i,r<0?e.length:r)),r<0)break;if(this.lineBreak(),o>1)for(let h of this.points)h.node==t&&h.pos>this.text.length&&(h.pos-=o-1);i=r+o}}readNode(t){if(t.cmIgnore)return;let e=W.get(t),i=e&&e.overrideDOMText;if(i!=null){this.findPointInside(t,i.length);for(let s=i.iter();!s.next().done;)s.lineBreak?this.lineBreak():this.append(s.value)}else t.nodeType==3?this.readTextNode(t):t.nodeName=="BR"?t.nextSibling&&this.lineBreak():t.nodeType==1&&this.readRange(t.firstChild,null)}findPointBefore(t,e){for(let i of this.points)i.node==t&&t.childNodes[i.offset]==e&&(i.pos=this.text.length)}findPointInside(t,e){for(let i of this.points)(t.nodeType==3?i.node==t:t.contains(i.node))&&(i.pos=this.text.length+(vf(t,i.node,i.offset)?e:0))}};ms=class{constructor(t,e){this.node=t,this.offset=e,this.pos=-1}},In=class{constructor(t,e,i,s){this.typeOver=s,this.bounds=null,this.text="",this.domChanged=e>-1;let{impreciseHead:r,impreciseAnchor:o}=t.docView;if(t.state.readOnly&&e>-1)this.newSel=null;else if(e>-1&&(this.bounds=t.docView.domBoundsAround(e,i,0))){let l=r||o?[]:Af(t),h=new Ln(l,t.state);h.readRange(this.bounds.startDOM,this.bounds.endDOM),this.text=h.text,this.newSel=Mf(l,this.bounds.from)}else{let l=t.observer.selectionRange,h=r&&r.node==l.focusNode&&r.offset==l.focusOffset||!An(t.contentDOM,l.focusNode)?t.state.selection.main.head:t.docView.posFromDOM(l.focusNode,l.focusOffset),a=o&&o.node==l.anchorNode&&o.offset==l.anchorOffset||!An(t.contentDOM,l.anchorNode)?t.state.selection.main.anchor:t.docView.posFromDOM(l.anchorNode,l.anchorOffset),f=t.viewport;if((v.ios||v.chrome)&&t.state.selection.main.empty&&h!=a&&(f.from>0||f.to-1&&t.state.selection.ranges.length>1?this.newSel=t.state.selection.replaceRange(A.range(a,h)):this.newSel=A.single(a,h)}}};Fn=class{setSelectionOrigin(t){this.lastSelectionOrigin=t,this.lastSelectionTime=Date.now()}constructor(t){this.view=t,this.lastKeyCode=0,this.lastKeyTime=0,this.lastTouchTime=0,this.lastFocusTime=0,this.lastScrollTop=0,this.lastScrollLeft=0,this.pendingIOSKey=void 0,this.tabFocusMode=-1,this.lastSelectionOrigin=null,this.lastSelectionTime=0,this.lastContextMenu=0,this.scrollHandlers=[],this.handlers=Object.create(null),this.composing=-1,this.compositionFirstChange=null,this.compositionEndedAt=0,this.compositionPendingKey=!1,this.compositionPendingChange=!1,this.insertingText="",this.insertingTextAt=0,this.mouseSelection=null,this.draggedContent=null,this.handleEvent=this.handleEvent.bind(this),this.notifiedFocused=t.hasFocus,v.safari&&t.contentDOM.addEventListener("input",()=>null),v.gecko&&Wf(t.contentDOM.ownerDocument)}handleEvent(t){!Bf(this.view,t)||this.ignoreDuringComposition(t)||t.type=="keydown"&&this.keydown(t)||(this.view.updateState!=0?Promise.resolve().then(()=>this.runHandlers(t.type,t)):this.runHandlers(t.type,t))}runHandlers(t,e){let i=this.handlers[t];if(i){for(let s of i.observers)s(this.view,e);for(let s of i.handlers){if(e.defaultPrevented)break;if(s(this.view,e)){e.preventDefault();break}}}}ensureHandlers(t){let e=Tf(t),i=this.handlers,s=this.view.contentDOM;for(let r in e)if(r!="scroll"){let o=!e[r].handlers.length,l=i[r];l&&o!=!l.handlers.length&&(s.removeEventListener(r,this.handleEvent),l=null),l||s.addEventListener(r,this.handleEvent,{passive:o})}for(let r in i)r!="scroll"&&!e[r]&&s.removeEventListener(r,this.handleEvent);this.handlers=e}keydown(t){if(this.lastKeyCode=t.keyCode,this.lastKeyTime=Date.now(),t.keyCode==9&&this.tabFocusMode>-1&&(!this.tabFocusMode||Date.now()<=this.tabFocusMode))return!0;if(this.tabFocusMode>0&&t.keyCode!=27&&nh.indexOf(t.keyCode)<0&&(this.tabFocusMode=-1),v.android&&v.chrome&&!t.synthetic&&(t.keyCode==13||t.keyCode==8))return this.view.observer.delayAndroidKey(t.key,t.keyCode),!0;let e;return v.ios&&!t.synthetic&&!t.altKey&&!t.metaKey&&((e=sh.find(i=>i.keyCode==t.keyCode))&&!t.ctrlKey||Df.indexOf(t.key)>-1&&t.ctrlKey&&!t.shiftKey)?(this.pendingIOSKey=e||t,setTimeout(()=>this.flushIOSKey(),250),!0):(t.keyCode!=229&&this.view.observer.forceFlush(),!1)}flushIOSKey(t){let e=this.pendingIOSKey;return!e||e.key=="Enter"&&t&&t.from0?!0:v.safari&&!v.ios&&this.compositionPendingKey&&Date.now()-this.compositionEndedAt<100?(this.compositionPendingKey=!1,!0):!1}startMouseSelection(t){this.mouseSelection&&this.mouseSelection.destroy(),this.mouseSelection=t}update(t){this.view.observer.update(t),this.mouseSelection&&this.mouseSelection.update(t),this.draggedContent&&t.docChanged&&(this.draggedContent=this.draggedContent.map(t.changes)),t.transactions.length&&(this.lastKeyCode=this.lastSelectionTime=0)}destroy(){this.mouseSelection&&this.mouseSelection.destroy()}};sh=[{key:"Backspace",keyCode:8,inputType:"deleteContentBackward"},{key:"Enter",keyCode:13,inputType:"insertParagraph"},{key:"Enter",keyCode:13,inputType:"insertLineBreak"},{key:"Delete",keyCode:46,inputType:"deleteContentForward"}],Df="dthko",nh=[16,17,18,20,91,92,224,225],es=6;Hn=class{constructor(t,e,i,s){this.view=t,this.startEvent=e,this.style=i,this.mustSelect=s,this.scrollSpeed={x:0,y:0},this.scrolling=-1,this.lastEvent=e,this.scrollParents=Wa(t.contentDOM),this.atoms=t.state.facet(Pi).map(o=>o(t));let r=t.contentDOM.ownerDocument;r.addEventListener("mousemove",this.move=this.move.bind(this)),r.addEventListener("mouseup",this.up=this.up.bind(this)),this.extend=e.shiftKey,this.multiple=t.state.facet(I.allowMultipleSelections)&&Pf(t,e),this.dragging=Ef(t,e)&&lh(e)==1?null:!1}start(t){this.dragging===!1&&this.select(t)}move(t){if(t.buttons==0)return this.destroy();if(this.dragging||this.dragging==null&&Of(this.startEvent,t)<10)return;this.select(this.lastEvent=t);let e=0,i=0,s=0,r=0,o=this.view.win.innerWidth,l=this.view.win.innerHeight;this.scrollParents.x&&({left:s,right:o}=this.scrollParents.x.getBoundingClientRect()),this.scrollParents.y&&({top:r,bottom:l}=this.scrollParents.y.getBoundingClientRect());let h=Xl(this.view);t.clientX-h.left<=s+es?e=-is(s-t.clientX):t.clientX+h.right>=o-es&&(e=is(t.clientX-o)),t.clientY-h.top<=r+es?i=-is(r-t.clientY):t.clientY+h.bottom>=l-es&&(i=is(t.clientY-l)),this.setScrollSpeed(e,i)}up(t){this.dragging==null&&this.select(this.lastEvent),this.dragging||t.preventDefault(),this.destroy()}destroy(){this.setScrollSpeed(0,0);let t=this.view.contentDOM.ownerDocument;t.removeEventListener("mousemove",this.move),t.removeEventListener("mouseup",this.up),this.view.inputState.mouseSelection=this.view.inputState.draggedContent=null}setScrollSpeed(t,e){this.scrollSpeed={x:t,y:e},t||e?this.scrolling<0&&(this.scrolling=setInterval(()=>this.scroll(),50)):this.scrolling>-1&&(clearInterval(this.scrolling),this.scrolling=-1)}scroll(){let{x:t,y:e}=this.scrollSpeed;t&&this.scrollParents.x&&(this.scrollParents.x.scrollLeft+=t,t=0),e&&this.scrollParents.y&&(this.scrollParents.y.scrollTop+=e,e=0),(t||e)&&this.view.win.scrollBy(t,e),this.dragging===!1&&this.select(this.lastEvent)}select(t){let{view:e}=this,i=th(this.atoms,this.style.get(t,this.extend,this.multiple));(this.mustSelect||!i.eq(e.state.selection,this.dragging===!1))&&this.view.dispatch({selection:i,userEvent:"select.pointer"}),this.mustSelect=!1}update(t){t.transactions.some(e=>e.isUserEvent("input.type"))?this.destroy():this.style.update(t)&&setTimeout(()=>this.select(this.lastEvent),20)}};It=Object.create(null),Tt=Object.create(null),rh=v.ie&&v.ie_version<15||v.ios&&v.webkit_version<604;Tt.scroll=n=>{n.inputState.lastScrollTop=n.scrollDOM.scrollTop,n.inputState.lastScrollLeft=n.scrollDOM.scrollLeft};It.keydown=(n,t)=>(n.inputState.setSelectionOrigin("select"),t.keyCode==27&&n.inputState.tabFocusMode!=0&&(n.inputState.tabFocusMode=Date.now()+2e3),!1);Tt.touchstart=(n,t)=>{n.inputState.lastTouchTime=Date.now(),n.inputState.setSelectionOrigin("select.pointer")};Tt.touchmove=n=>{n.inputState.setSelectionOrigin("select.pointer")};It.mousedown=(n,t)=>{if(n.observer.flush(),n.inputState.lastTouchTime>Date.now()-2e3)return!1;let e=null;for(let i of n.state.facet(Hl))if(e=i(n,t),e)break;if(!e&&t.button==0&&(e=Ff(n,t)),e){let i=!n.hasFocus;n.inputState.startMouseSelection(new Hn(n,t,e,i)),i&&n.observer.ignore(()=>{wl(n.contentDOM);let r=n.root.activeElement;r&&!r.contains(n.contentDOM)&&r.blur()});let s=n.inputState.mouseSelection;if(s)return s.start(t),s.dragging===!1}else n.inputState.setSelectionOrigin("select.pointer");return!1};$o=(n,t,e)=>t>=e.top&&t<=e.bottom&&n>=e.left&&n<=e.right;If=v.ie&&v.ie_version<=11,_o=null,Yo=0,Go=0;It.dragstart=(n,t)=>{let{selection:{main:e}}=n.state;if(t.target.draggable){let s=n.docView.nearest(t.target);if(s&&s.isWidget){let r=s.posAtStart,o=r+s.length;(r>=e.to||o<=e.from)&&(e=A.range(r,o))}}let{inputState:i}=n;return i.mouseSelection&&(i.mouseSelection.dragging=!0),i.draggedContent=e,t.dataTransfer&&(t.dataTransfer.setData("Text",As(n.state,hr,n.state.sliceDoc(e.from,e.to))),t.dataTransfer.effectAllowed="copyMove"),!1};It.dragend=n=>(n.inputState.draggedContent=null,!1);It.drop=(n,t)=>{if(!t.dataTransfer)return!1;if(n.state.readOnly)return!0;let e=t.dataTransfer.files;if(e&&e.length){let i=Array(e.length),s=0,r=()=>{++s==e.length&&Xo(n,t,i.filter(o=>o!=null).join(n.state.lineBreak),!1)};for(let o=0;o{/[\x00-\x08\x0e-\x1f]{2}/.test(l.result)||(i[o]=l.result),r()},l.readAsText(e[o])}return!0}else{let i=t.dataTransfer.getData("Text");if(i)return Xo(n,t,i,!0),!0}return!1};It.paste=(n,t)=>{if(n.state.readOnly)return!0;n.observer.flush();let e=rh?null:t.clipboardData;return e?(oh(n,e.getData("text/plain")||e.getData("text/uri-list")),!0):(Nf(n),!1)};zn=null;It.copy=It.cut=(n,t)=>{let{text:e,ranges:i,linewise:s}=Vf(n.state);if(!e&&!s)return!1;zn=s?e:null,t.type=="cut"&&!n.state.readOnly&&n.dispatch({changes:i,scrollIntoView:!0,userEvent:"delete.cut"});let r=rh?null:t.clipboardData;return r?(r.clearData(),r.setData("text/plain",e),!0):(zf(n,e),!1)};hh=ee.define();Tt.focus=n=>{n.inputState.lastFocusTime=Date.now(),!n.scrollDOM.scrollTop&&(n.inputState.lastScrollTop||n.inputState.lastScrollLeft)&&(n.scrollDOM.scrollTop=n.inputState.lastScrollTop,n.scrollDOM.scrollLeft=n.inputState.lastScrollLeft),fh(n)};Tt.blur=n=>{n.observer.clearSelectionRange(),fh(n)};Tt.compositionstart=Tt.compositionupdate=n=>{n.observer.editContext||(n.inputState.compositionFirstChange==null&&(n.inputState.compositionFirstChange=!0),n.inputState.composing<0&&(n.inputState.composing=0))};Tt.compositionend=n=>{n.observer.editContext||(n.inputState.composing=-1,n.inputState.compositionEndedAt=Date.now(),n.inputState.compositionPendingKey=!0,n.inputState.compositionPendingChange=n.observer.pendingRecords().length>0,n.inputState.compositionFirstChange=null,v.chrome&&v.android?n.observer.flushSoon():n.inputState.compositionPendingChange?Promise.resolve().then(()=>n.observer.flush()):setTimeout(()=>{n.inputState.composing<0&&n.docView.hasComposition&&n.update([])},50))};Tt.contextmenu=n=>{n.inputState.lastContextMenu=Date.now()};It.beforeinput=(n,t)=>{var e,i;if((t.inputType=="insertText"||t.inputType=="insertCompositionText")&&(n.inputState.insertingText=t.data,n.inputState.insertingTextAt=Date.now()),t.inputType=="insertReplacementText"&&n.observer.editContext){let r=(e=t.dataTransfer)===null||e===void 0?void 0:e.getData("text/plain"),o=t.getTargetRanges();if(r&&o.length){let l=o[0],h=n.posAtDOM(l.startContainer,l.startOffset),a=n.posAtDOM(l.endContainer,l.endOffset);return ar(n,{from:h,to:a,insert:n.state.toText(r)},null),!0}}let s;if(v.chrome&&v.android&&(s=sh.find(r=>r.inputType==t.inputType))&&(n.observer.delayAndroidKey(s.key,s.keyCode),s.key=="Backspace"||s.key=="Delete")){let r=((i=window.visualViewport)===null||i===void 0?void 0:i.height)||0;setTimeout(()=>{var o;(((o=window.visualViewport)===null||o===void 0?void 0:o.height)||0)>r+10&&n.hasFocus&&(n.contentDOM.blur(),n.focus())},100)}return v.ios&&t.inputType=="deleteContentForward"&&n.observer.flushSoon(),v.safari&&t.inputType=="insertText"&&n.inputState.composing>=0&&setTimeout(()=>Tt.compositionend(n,t),20),!1};Jo=new Set;Qo=["pre-wrap","normal","pre-line","break-spaces"],Ze=!1;Vn=class{constructor(t){this.lineWrapping=t,this.doc=F.empty,this.heightSamples={},this.lineHeight=14,this.charWidth=7,this.textHeight=14,this.lineLength=30}heightForGap(t,e){let i=this.doc.lineAt(e).number-this.doc.lineAt(t).number+1;return this.lineWrapping&&(i+=Math.max(0,Math.ceil((e-t-i*this.lineLength*.5)/this.lineLength))),this.lineHeight*i}heightForLine(t){return this.lineWrapping?(1+Math.max(0,Math.ceil((t-this.lineLength)/Math.max(1,this.lineLength-5))))*this.lineHeight:this.lineHeight}setDoc(t){return this.doc=t,this}mustRefreshForWrapping(t){return Qo.indexOf(t)>-1!=this.lineWrapping}mustRefreshForHeights(t){let e=!1;for(let i=0;i-1,h=Math.round(e)!=Math.round(this.lineHeight)||this.lineWrapping!=l;if(this.lineWrapping=l,this.lineHeight=e,this.charWidth=i,this.textHeight=s,this.lineLength=r,h){this.heightSamples={};for(let a=0;a0}set outdated(t){this.flags=(t?2:0)|this.flags&-3}setHeight(t){this.height!=t&&(Math.abs(this.height-t)>as&&(Ze=!0),this.height=t)}replace(t,e,i){return lt.of(i)}decomposeLeft(t,e){e.push(this)}decomposeRight(t,e){e.push(this)}applyChanges(t,e,i,s){let r=this,o=i.doc;for(let l=s.length-1;l>=0;l--){let{fromA:h,toA:a,fromB:f,toB:c}=s[l],u=r.lineAt(h,Y.ByPosNoHeight,i.setDoc(e),0,0),d=u.to>=a?u:r.lineAt(a,Y.ByPosNoHeight,i,0,0);for(c+=d.to-a,a=d.to;l>0&&u.from<=s[l-1].toA;)h=s[l-1].fromA,f=s[l-1].fromB,l--,hr*2){let l=t[e-1];l.break?t.splice(--e,1,l.left,null,l.right):t.splice(--e,1,l.left,l.right),i+=1+l.break,s-=l.size}else if(r>s*2){let l=t[i];l.break?t.splice(i,1,l.left,null,l.right):t.splice(i,1,l.left,l.right),i+=2+l.break,r-=l.size}else break;else if(s=r&&o(this.blockAt(0,i,s,r))}updateHeight(t,e=0,i=!1,s){return s&&s.from<=e&&s.more&&this.setHeight(s.heights[s.index++]),this.outdated=!1,this}toString(){return`block(${this.length})`}},ft=class extends ys{constructor(t,e){super(t,e,null),this.collapsed=0,this.widgetHeight=0,this.breaks=0}blockAt(t,e,i,s){return new Mt(s,this.length,i,this.height,this.breaks)}replace(t,e,i){let s=i[0];return i.length==1&&(s instanceof ft||s instanceof st&&s.flags&4)&&Math.abs(this.length-s.length)<10?(s instanceof st?s=new ft(s.length,this.height):s.height=this.height,this.outdated||(s.outdated=!1),s):lt.of(i)}updateHeight(t,e=0,i=!1,s){return s&&s.from<=e&&s.more?this.setHeight(s.heights[s.index++]):(i||this.outdated)&&this.setHeight(Math.max(this.widgetHeight,t.heightForLine(this.length-this.collapsed))+this.breaks*t.lineHeight),this.outdated=!1,this}toString(){return`line(${this.length}${this.collapsed?-this.collapsed:""}${this.widgetHeight?":"+this.widgetHeight:""})`}},st=class extends lt{constructor(t){super(t,0)}heightMetrics(t,e){let i=t.doc.lineAt(e).number,s=t.doc.lineAt(e+this.length).number,r=s-i+1,o,l=0;if(t.lineWrapping){let h=Math.min(this.height,t.lineHeight*r);o=h/r,this.length>r+1&&(l=(this.height-h)/(this.length-r-1))}else o=this.height/r;return{firstLine:i,lastLine:s,perLine:o,perChar:l}}blockAt(t,e,i,s){let{firstLine:r,lastLine:o,perLine:l,perChar:h}=this.heightMetrics(e,s);if(e.lineWrapping){let a=s+(t0){let r=i[i.length-1];r instanceof st?i[i.length-1]=new st(r.length+s):i.push(null,new st(s-1))}if(t>0){let r=i[0];r instanceof st?i[0]=new st(t+r.length):i.unshift(new st(t-1),null)}return lt.of(i)}decomposeLeft(t,e){e.push(new st(t-1),null)}decomposeRight(t,e){e.push(null,new st(this.length-t-1))}updateHeight(t,e=0,i=!1,s){let r=e+this.length;if(s&&s.from<=e+this.length&&s.more){let o=[],l=Math.max(e,s.from),h=-1;for(s.from>e&&o.push(new st(s.from-e-1).updateHeight(t,e));l<=r&&s.more;){let f=t.doc.lineAt(l).length;o.length&&o.push(null);let c=s.heights[s.index++];h==-1?h=c:Math.abs(c-h)>=as&&(h=-2);let u=new ft(f,c);u.outdated=!1,o.push(u),l+=f+1}l<=r&&o.push(null,new st(r-l).updateHeight(t,l));let a=lt.of(o);return(h<0||Math.abs(a.height-this.height)>=as||Math.abs(h-this.heightMetrics(t,e).perLine)>=as)&&(Ze=!0),bs(this,a)}else(i||this.outdated)&&(this.setHeight(t.heightForGap(e,e+this.length)),this.outdated=!1);return this}toString(){return`gap(${this.length})`}},qn=class extends lt{constructor(t,e,i){super(t.length+e+i.length,t.height+i.height,e|(t.outdated||i.outdated?2:0)),this.left=t,this.right=i,this.size=t.size+i.size}get break(){return this.flags&1}blockAt(t,e,i,s){let r=i+this.left.height;return tl))return a;let f=e==Y.ByPosNoHeight?Y.ByPosNoHeight:Y.ByPos;return h?a.join(this.right.lineAt(l,f,i,o,l)):this.left.lineAt(l,f,i,s,r).join(a)}forEachLine(t,e,i,s,r,o){let l=s+this.left.height,h=r+this.left.length+this.break;if(this.break)t=h&&this.right.forEachLine(t,e,i,l,h,o);else{let a=this.lineAt(h,Y.ByPos,i,s,r);t=t&&a.from<=e&&o(a),e>a.to&&this.right.forEachLine(a.to+1,e,i,l,h,o)}}replace(t,e,i){let s=this.left.length+this.break;if(ethis.left.length)return this.balanced(this.left,this.right.replace(t-s,e-s,i));let r=[];t>0&&this.decomposeLeft(t,r);let o=r.length;for(let l of i)r.push(l);if(t>0&&tl(r,o-1),e=i&&e.push(null)),t>i&&this.right.decomposeLeft(t-i,e)}decomposeRight(t,e){let i=this.left.length,s=i+this.break;if(t>=s)return this.right.decomposeRight(t-s,e);t2*e.size||e.size>2*t.size?lt.of(this.break?[t,null,e]:[t,e]):(this.left=bs(this.left,t),this.right=bs(this.right,e),this.setHeight(t.height+e.height),this.outdated=t.outdated||e.outdated,this.size=t.size+e.size,this.length=t.length+this.break+e.length,this)}updateHeight(t,e=0,i=!1,s){let{left:r,right:o}=this,l=e+r.length+this.break,h=null;return s&&s.from<=e+r.length&&s.more?h=r=r.updateHeight(t,e,i,s):r.updateHeight(t,e,i),s&&s.from<=l+o.length&&s.more?h=o=o.updateHeight(t,l,i,s):o.updateHeight(t,l,i),h?this.balanced(r,o):(this.height=this.left.height+this.right.height,this.outdated=!1,this)}toString(){return this.left+(this.break?" ":"-")+this.right}};qf=5,Mi=class{constructor(t,e){this.pos=t,this.oracle=e,this.nodes=[],this.lineStart=-1,this.lineEnd=-1,this.covering=null,this.writtenTo=t}get isCovered(){return this.covering&&this.nodes[this.nodes.length-1]==this.covering}span(t,e){if(this.lineStart>-1){let i=Math.min(e,this.lineEnd),s=this.nodes[this.nodes.length-1];s instanceof ft?s.length+=i-this.pos:(i>this.pos||!this.isCovered)&&this.nodes.push(new ft(i-this.pos,-1)),this.writtenTo=i,e>i&&(this.nodes.push(null),this.writtenTo++,this.lineStart=-1)}this.pos=e}point(t,e,i){if(t=qf)&&this.addLineDeco(s,r,o)}else e>t&&this.span(t,e);this.lineEnd>-1&&this.lineEnd-1)return;let{from:t,to:e}=this.oracle.doc.lineAt(this.pos);this.lineStart=t,this.lineEnd=e,this.writtenTot&&this.nodes.push(new ft(this.pos-t,-1)),this.writtenTo=this.pos}blankContent(t,e){let i=new st(e-t);return this.oracle.doc.lineAt(t).to==e&&(i.flags|=4),i}ensureLine(){this.enterLine();let t=this.nodes.length?this.nodes[this.nodes.length-1]:null;if(t instanceof ft)return t;let e=new ft(0,-1);return this.nodes.push(e),e}addBlock(t){this.enterLine();let e=t.deco;e&&e.startSide>0&&!this.isCovered&&this.ensureLine(),this.nodes.push(t),this.writtenTo=this.pos=this.pos+t.length,e&&e.endSide>0&&(this.covering=t)}addLineDeco(t,e,i){let s=this.ensureLine();s.length+=i,s.collapsed+=i,s.widgetHeight=Math.max(s.widgetHeight,t),s.breaks+=e,this.writtenTo=this.pos=this.pos+i}finish(t){let e=this.nodes.length==0?null:this.nodes[this.nodes.length-1];this.lineStart>-1&&!(e instanceof ft)&&!this.isCovered?this.nodes.push(new ft(0,-1)):(this.writtenTotypeof i!="function"&&i.class=="cm-lineWrapping");this.heightOracle=new Vn(e),this.stateDeco=t.facet(Ai).filter(i=>typeof i!="function"),this.heightMap=lt.empty().applyChanges(this.stateDeco,F.empty,this.heightOracle.setDoc(t.doc),[new gt(0,0,0,t.doc.length)]);for(let i=0;i<2&&(this.viewport=this.getViewport(0,null),!!this.updateForViewport());i++);this.updateViewportLines(),this.lineGaps=this.ensureLineGaps([]),this.lineGapDeco=B.set(this.lineGaps.map(i=>i.draw(this,!1))),this.computeVisibleRanges()}updateForViewport(){let t=[this.viewport],{main:e}=this.state.selection;for(let i=0;i<=1;i++){let s=i?e.head:e.anchor;if(!t.some(({from:r,to:o})=>s>=r&&s<=o)){let{from:r,to:o}=this.lineBlockAt(s);t.push(new Ye(r,o))}}return this.viewports=t.sort((i,s)=>i.from-s.from),this.updateScaler()}updateScaler(){let t=this.scaler;return this.scaler=this.heightMap.height<=7e6?el:new Ti(this.heightOracle,this.heightMap,this.viewports),t.eq(this.scaler)?0:2}updateViewportLines(){this.viewportLines=[],this.heightMap.forEachLine(this.viewport.from,this.viewport.to,this.heightOracle.setDoc(this.state.doc),0,0,t=>{this.viewportLines.push(pi(t,this.scaler))})}update(t,e=null){this.state=t.state;let i=this.stateDeco;this.stateDeco=this.state.facet(Ai).filter(f=>typeof f!="function");let s=t.changedRanges,r=gt.extendWithRanges(s,Kf(i,this.stateDeco,t?t.changes:Q.empty(this.state.doc.length))),o=this.heightMap.height,l=this.scrolledToBottom?null:this.scrollAnchorAt(this.scrollTop);Zo(),this.heightMap=this.heightMap.applyChanges(this.stateDeco,t.startState.doc,this.heightOracle.setDoc(this.state.doc),r),(this.heightMap.height!=o||Ze)&&(t.flags|=2),l?(this.scrollAnchorPos=t.changes.mapPos(l.from,-1),this.scrollAnchorHeight=l.top):(this.scrollAnchorPos=-1,this.scrollAnchorHeight=o);let h=r.length?this.mapViewport(this.viewport,t.changes):this.viewport;(e&&(e.range.headh.to)||!this.viewportIsAppropriate(h))&&(h=this.getViewport(0,e));let a=h.from!=this.viewport.from||h.to!=this.viewport.to;this.viewport=h,t.flags|=this.updateForViewport(),(a||!t.changes.empty||t.flags&2)&&this.updateViewportLines(),(this.lineGaps.length||this.viewport.to-this.viewport.from>2e3<<1)&&this.updateLineGaps(this.ensureLineGaps(this.mapLineGaps(this.lineGaps,t.changes))),t.flags|=this.computeVisibleRanges(t.changes),e&&(this.scrollTarget=e),!this.mustEnforceCursorAssoc&&t.selectionSet&&t.view.lineWrapping&&t.state.selection.main.empty&&t.state.selection.main.assoc&&!t.state.facet(Kl)&&(this.mustEnforceCursorAssoc=!0)}measure(t){let e=t.contentDOM,i=window.getComputedStyle(e),s=this.heightOracle,r=i.whiteSpace;this.defaultTextDirection=i.direction=="rtl"?J.RTL:J.LTR;let o=this.heightOracle.mustRefreshForWrapping(r),l=e.getBoundingClientRect(),h=o||this.mustMeasureContent||this.contentDOMHeight!=l.height;this.contentDOMHeight=l.height,this.mustMeasureContent=!1;let a=0,f=0;if(l.width&&l.height){let{scaleX:D,scaleY:y}=xl(e,l);(D>.005&&Math.abs(this.scaleX-D)>.005||y>.005&&Math.abs(this.scaleY-y)>.005)&&(this.scaleX=D,this.scaleY=y,a|=16,o=h=!0)}let c=(parseInt(i.paddingTop)||0)*this.scaleY,u=(parseInt(i.paddingBottom)||0)*this.scaleY;(this.paddingTop!=c||this.paddingBottom!=u)&&(this.paddingTop=c,this.paddingBottom=u,a|=18),this.editorWidth!=t.scrollDOM.clientWidth&&(s.lineWrapping&&(h=!0),this.editorWidth=t.scrollDOM.clientWidth,a|=16);let d=t.scrollDOM.scrollTop*this.scaleY;this.scrollTop!=d&&(this.scrollAnchorHeight=-1,this.scrollTop=d),this.scrolledToBottom=vl(t.scrollDOM);let p=(this.printing?Uf:jf)(e,this.paddingTop),g=p.top-this.pixelViewport.top,m=p.bottom-this.pixelViewport.bottom;this.pixelViewport=p;let b=this.pixelViewport.bottom>this.pixelViewport.top&&this.pixelViewport.right>this.pixelViewport.left;if(b!=this.inView&&(this.inView=b,b&&(h=!0)),!this.inView&&!this.scrollTarget&&!$f(t.dom))return 0;let x=l.width;if((this.contentDOMWidth!=x||this.editorHeight!=t.scrollDOM.clientHeight)&&(this.contentDOMWidth=l.width,this.editorHeight=t.scrollDOM.clientHeight,a|=16),h){let D=t.docView.measureVisibleLineHeights(this.viewport);if(s.mustRefreshForHeights(D)&&(o=!0),o||s.lineWrapping&&Math.abs(x-this.contentDOMWidth)>s.charWidth){let{lineHeight:y,charWidth:M,textHeight:C}=t.docView.measureTextSize();o=y>0&&s.refresh(r,y,M,C,Math.max(5,x/M),D),o&&(t.docView.minWidth=0,a|=16)}g>0&&m>0?f=Math.max(g,m):g<0&&m<0&&(f=Math.min(g,m)),Zo();for(let y of this.viewports){let M=y.from==this.viewport.from?D:t.docView.measureVisibleLineHeights(y);this.heightMap=(o?lt.empty().applyChanges(this.stateDeco,F.empty,this.heightOracle,[new gt(0,0,0,t.state.doc.length)]):this.heightMap).updateHeight(s,0,o,new Wn(y.from,M))}Ze&&(a|=2)}let S=!this.viewportIsAppropriate(this.viewport,f)||this.scrollTarget&&(this.scrollTarget.range.headthis.viewport.to);return S&&(a&2&&(a|=this.updateScaler()),this.viewport=this.getViewport(f,this.scrollTarget),a|=this.updateForViewport()),(a&2||S)&&this.updateViewportLines(),(this.lineGaps.length||this.viewport.to-this.viewport.from>2e3<<1)&&this.updateLineGaps(this.ensureLineGaps(o?[]:this.lineGaps,t)),a|=this.computeVisibleRanges(),this.mustEnforceCursorAssoc&&(this.mustEnforceCursorAssoc=!1,t.docView.enforceCursorAssoc()),a}get visibleTop(){return this.scaler.fromDOM(this.pixelViewport.top)}get visibleBottom(){return this.scaler.fromDOM(this.pixelViewport.bottom)}getViewport(t,e){let i=.5-Math.max(-.5,Math.min(.5,t/1e3/2)),s=this.heightMap,r=this.heightOracle,{visibleTop:o,visibleBottom:l}=this,h=new Ye(s.lineAt(o-i*1e3,Y.ByHeight,r,0,0).from,s.lineAt(l+(1-i)*1e3,Y.ByHeight,r,0,0).to);if(e){let{head:a}=e.range;if(ah.to){let f=Math.min(this.editorHeight,this.pixelViewport.bottom-this.pixelViewport.top),c=s.lineAt(a,Y.ByPos,r,0,0),u;e.y=="center"?u=(c.top+c.bottom)/2-f/2:e.y=="start"||e.y=="nearest"&&a=l+Math.max(10,Math.min(i,250)))&&s>o-2*1e3&&r>1,o=s<<1;if(this.defaultTextDirection!=J.LTR&&!i)return[];let l=[],h=(f,c,u,d)=>{if(c-ff&&bb.from>=u.from&&b.to<=u.to&&Math.abs(b.from-f)b.fromx));if(!m){if(cS.from<=c&&S.to>=c)){let S=e.moveToLineBoundary(A.cursor(c),!1,!0).head;S>f&&(c=S)}let b=this.gapSize(u,f,c,d),x=i||b<2e6?b:2e6;m=new xi(f,c,b,x)}l.push(m)},a=f=>{if(f.length2e6)for(let M of t)M.from>=f.from&&M.fromf.from&&h(f.from,d,f,c),pe.draw(this,this.heightOracle.lineWrapping))))}computeVisibleRanges(t){let e=this.stateDeco;this.lineGaps.length&&(e=e.concat(this.lineGapDeco));let i=[];L.spans(e,this.viewport.from,this.viewport.to,{span(r,o){i.push({from:r,to:o})},point(){}},20);let s=0;if(i.length!=this.visibleRanges.length)s=12;else for(let r=0;r=this.viewport.from&&t<=this.viewport.to&&this.viewportLines.find(e=>e.from<=t&&e.to>=t)||pi(this.heightMap.lineAt(t,Y.ByPos,this.heightOracle,0,0),this.scaler)}lineBlockAtHeight(t){return t>=this.viewportLines[0].top&&t<=this.viewportLines[this.viewportLines.length-1].bottom&&this.viewportLines.find(e=>e.top<=t&&e.bottom>=t)||pi(this.heightMap.lineAt(this.scaler.fromDOM(t),Y.ByHeight,this.heightOracle,0,0),this.scaler)}scrollAnchorAt(t){let e=this.lineBlockAtHeight(t+8);return e.from>=this.viewport.from||this.viewportLines[0].top-t>200?e:this.viewportLines[0]}elementAtHeight(t){return pi(this.heightMap.blockAt(this.scaler.fromDOM(t),this.heightOracle,0,0),this.scaler)}get docHeight(){return this.scaler.toDOM(this.heightMap.height)}get contentHeight(){return this.docHeight+this.paddingTop+this.paddingBottom}},Ye=class{constructor(t,e){this.from=t,this.to=e}};el={toDOM(n){return n},fromDOM(n){return n},scale:1,eq(n){return n==this}},Ti=class{constructor(t,e,i){let s=0,r=0,o=0;this.viewports=i.map(({from:l,to:h})=>{let a=e.lineAt(l,Y.ByPos,t,0,0).top,f=e.lineAt(h,Y.ByPos,t,0,0).bottom;return s+=f-a,{from:l,to:h,top:a,bottom:f,domTop:0,domBottom:0}}),this.scale=(7e6-s)/(e.height-s);for(let l of this.viewports)l.domTop=o+(l.top-r)*this.scale,o=l.domBottom=l.domTop+(l.bottom-l.top),r=l.bottom}toDOM(t){for(let e=0,i=0,s=0;;e++){let r=ee.from==t.viewports[i].from&&e.to==t.viewports[i].to):!1}};rs=T.define({combine:n=>n.join(" ")}),$n=T.define({combine:n=>n.indexOf(!0)>-1}),Un=At.newName(),ch=At.newName(),uh=At.newName(),dh={"&light":"."+ch,"&dark":"."+uh};Gf=_n("."+Un,{"&":{position:"relative !important",boxSizing:"border-box","&.cm-focused":{outline:"1px dotted #212121"},display:"flex !important",flexDirection:"column"},".cm-scroller":{display:"flex !important",alignItems:"flex-start !important",fontFamily:"monospace",lineHeight:1.4,height:"100%",overflowX:"auto",position:"relative",zIndex:0,overflowAnchor:"none"},".cm-content":{margin:0,flexGrow:2,flexShrink:0,display:"block",whiteSpace:"pre",wordWrap:"normal",boxSizing:"border-box",minHeight:"100%",padding:"4px 0",outline:"none","&[contenteditable=true]":{WebkitUserModify:"read-write-plaintext-only"}},".cm-lineWrapping":{whiteSpace_fallback:"pre-wrap",whiteSpace:"break-spaces",wordBreak:"break-word",overflowWrap:"anywhere",flexShrink:1},"&light .cm-content":{caretColor:"black"},"&dark .cm-content":{caretColor:"white"},".cm-line":{display:"block",padding:"0 2px 0 6px"},".cm-layer":{position:"absolute",left:0,top:0,contain:"size style","& > *":{position:"absolute"}},"&light .cm-selectionBackground":{background:"#d9d9d9"},"&dark .cm-selectionBackground":{background:"#222"},"&light.cm-focused > .cm-scroller > .cm-selectionLayer .cm-selectionBackground":{background:"#d7d4f0"},"&dark.cm-focused > .cm-scroller > .cm-selectionLayer .cm-selectionBackground":{background:"#233"},".cm-cursorLayer":{pointerEvents:"none"},"&.cm-focused > .cm-scroller > .cm-cursorLayer":{animation:"steps(1) cm-blink 1.2s infinite"},"@keyframes cm-blink":{"0%":{},"50%":{opacity:0},"100%":{}},"@keyframes cm-blink2":{"0%":{},"50%":{opacity:0},"100%":{}},".cm-cursor, .cm-dropCursor":{borderLeft:"1.2px solid black",marginLeft:"-0.6px",pointerEvents:"none"},".cm-cursor":{display:"none"},"&dark .cm-cursor":{borderLeftColor:"#ddd"},".cm-dropCursor":{position:"absolute"},"&.cm-focused > .cm-scroller > .cm-cursorLayer .cm-cursor":{display:"block"},".cm-iso":{unicodeBidi:"isolate"},".cm-announced":{position:"fixed",top:"-10000px"},"@media print":{".cm-announced":{display:"none"}},"&light .cm-activeLine":{backgroundColor:"#cceeff44"},"&dark .cm-activeLine":{backgroundColor:"#99eeff33"},"&light .cm-specialChar":{color:"red"},"&dark .cm-specialChar":{color:"#f78"},".cm-gutters":{flexShrink:0,display:"flex",height:"100%",boxSizing:"border-box",zIndex:200},".cm-gutters-before":{insetInlineStart:0},".cm-gutters-after":{insetInlineEnd:0},"&light .cm-gutters":{backgroundColor:"#f5f5f5",color:"#6c6c6c",border:"0px solid #ddd","&.cm-gutters-before":{borderRightWidth:"1px"},"&.cm-gutters-after":{borderLeftWidth:"1px"}},"&dark .cm-gutters":{backgroundColor:"#333338",color:"#ccc"},".cm-gutter":{display:"flex !important",flexDirection:"column",flexShrink:0,boxSizing:"border-box",minHeight:"100%",overflow:"hidden"},".cm-gutterElement":{boxSizing:"border-box"},".cm-lineNumbers .cm-gutterElement":{padding:"0 3px 0 5px",minWidth:"20px",textAlign:"right",whiteSpace:"nowrap"},"&light .cm-activeLineGutter":{backgroundColor:"#e2f2ff"},"&dark .cm-activeLineGutter":{backgroundColor:"#222227"},".cm-panels":{boxSizing:"border-box",position:"sticky",left:0,right:0,zIndex:300},"&light .cm-panels":{backgroundColor:"#f5f5f5",color:"black"},"&light .cm-panels-top":{borderBottom:"1px solid #ddd"},"&light .cm-panels-bottom":{borderTop:"1px solid #ddd"},"&dark .cm-panels":{backgroundColor:"#333338",color:"white"},".cm-dialog":{padding:"2px 19px 4px 6px",position:"relative","& label":{fontSize:"80%"}},".cm-dialog-close":{position:"absolute",top:"3px",right:"4px",backgroundColor:"inherit",border:"none",font:"inherit",fontSize:"14px",padding:"0"},".cm-tab":{display:"inline-block",overflow:"hidden",verticalAlign:"bottom"},".cm-widgetBuffer":{verticalAlign:"text-top",height:"1em",width:0,display:"inline"},".cm-placeholder":{color:"#888",display:"inline-block",verticalAlign:"top",userSelect:"none"},".cm-highlightSpace":{backgroundImage:"radial-gradient(circle at 50% 55%, #aaa 20%, transparent 5%)",backgroundPosition:"center"},".cm-highlightTab":{backgroundImage:`url('data:image/svg+xml,')`,backgroundSize:"auto 100%",backgroundPosition:"right 90%",backgroundRepeat:"no-repeat"},".cm-trailingSpace":{backgroundColor:"#ff332255"},".cm-button":{verticalAlign:"middle",color:"inherit",fontSize:"70%",padding:".2em 1em",borderRadius:"1px"},"&light .cm-button":{backgroundImage:"linear-gradient(#eff1f5, #d9d9df)",border:"1px solid #888","&:active":{backgroundImage:"linear-gradient(#b4b4b4, #d0d3d6)"}},"&dark .cm-button":{backgroundImage:"linear-gradient(#393939, #111)",border:"1px solid #888","&:active":{backgroundImage:"linear-gradient(#111, #333)"}},".cm-textfield":{verticalAlign:"middle",color:"inherit",fontSize:"70%",border:"1px solid silver",padding:".2em .5em"},"&light .cm-textfield":{backgroundColor:"white"},"&dark .cm-textfield":{border:"1px solid #555",backgroundColor:"inherit"}},dh),Xf={childList:!0,characterData:!0,subtree:!0,attributes:!0,characterDataOldValue:!0},bn=v.ie&&v.ie_version<=11,Yn=class{constructor(t){this.view=t,this.active=!1,this.editContext=null,this.selectionRange=new Mn,this.selectionChanged=!1,this.delayedFlush=-1,this.resizeTimeout=-1,this.queue=[],this.delayedAndroidKey=null,this.flushingAndroidKey=-1,this.lastChange=0,this.scrollTargets=[],this.intersection=null,this.resizeScroll=null,this.intersecting=!1,this.gapIntersection=null,this.gaps=[],this.printQuery=null,this.parentCheck=-1,this.dom=t.contentDOM,this.observer=new MutationObserver(e=>{for(let i of e)this.queue.push(i);(v.ie&&v.ie_version<=11||v.ios&&t.composing)&&e.some(i=>i.type=="childList"&&i.removedNodes.length||i.type=="characterData"&&i.oldValue.length>i.target.nodeValue.length)?this.flushSoon():this.flush()}),window.EditContext&&v.android&&t.constructor.EDIT_CONTEXT!==!1&&!(v.chrome&&v.chrome_version<126)&&(this.editContext=new Gn(t),t.state.facet(ne)&&(t.contentDOM.editContext=this.editContext.editContext)),bn&&(this.onCharData=e=>{this.queue.push({target:e.target,type:"characterData",oldValue:e.prevValue}),this.flushSoon()}),this.onSelectionChange=this.onSelectionChange.bind(this),this.onResize=this.onResize.bind(this),this.onPrint=this.onPrint.bind(this),this.onScroll=this.onScroll.bind(this),window.matchMedia&&(this.printQuery=window.matchMedia("print")),typeof ResizeObserver=="function"&&(this.resizeScroll=new ResizeObserver(()=>{var e;((e=this.view.docView)===null||e===void 0?void 0:e.lastUpdate){this.parentCheck<0&&(this.parentCheck=setTimeout(this.listenForScroll.bind(this),1e3)),e.length>0&&e[e.length-1].intersectionRatio>0!=this.intersecting&&(this.intersecting=!this.intersecting,this.intersecting!=this.view.inView&&this.onScrollChanged(document.createEvent("Event")))},{threshold:[0,.001]}),this.intersection.observe(this.dom),this.gapIntersection=new IntersectionObserver(e=>{e.length>0&&e[e.length-1].intersectionRatio>0&&this.onScrollChanged(document.createEvent("Event"))},{})),this.listenForScroll(),this.readSelectionRange()}onScrollChanged(t){this.view.inputState.runHandlers("scroll",t),this.intersecting&&this.view.measure()}onScroll(t){this.intersecting&&this.flush(!1),this.editContext&&this.view.requestMeasure(this.editContext.measureReq),this.onScrollChanged(t)}onResize(){this.resizeTimeout<0&&(this.resizeTimeout=setTimeout(()=>{this.resizeTimeout=-1,this.view.requestMeasure()},50))}onPrint(t){(t.type=="change"||!t.type)&&!t.matches||(this.view.viewState.printing=!0,this.view.measure(),setTimeout(()=>{this.view.viewState.printing=!1,this.view.requestMeasure()},500))}updateGaps(t){if(this.gapIntersection&&(t.length!=this.gaps.length||this.gaps.some((e,i)=>e!=t[i]))){this.gapIntersection.disconnect();for(let e of t)this.gapIntersection.observe(e);this.gaps=t}}onSelectionChange(t){let e=this.selectionChanged;if(!this.readSelectionRange()||this.delayedAndroidKey)return;let{view:i}=this,s=this.selectionRange;if(i.state.facet(ne)?i.root.activeElement!=this.dom:!ls(this.dom,s))return;let r=s.anchorNode&&i.docView.nearest(s.anchorNode);if(r&&r.ignoreEvent(t)){e||(this.selectionChanged=!1);return}(v.ie&&v.ie_version<=11||v.android&&v.chrome)&&!i.state.selection.main.empty&&s.focusNode&&mi(s.focusNode,s.focusOffset,s.anchorNode,s.anchorOffset)?this.flushSoon():this.flush(!1)}readSelectionRange(){let{view:t}=this,e=vi(t.root);if(!e)return!1;let i=v.safari&&t.root.nodeType==11&&t.root.activeElement==this.dom&&Jf(this.view,e)||e;if(!i||this.selectionRange.eq(i))return!1;let s=ls(this.dom,i);return s&&!this.selectionChanged&&t.inputState.lastFocusTime>Date.now()-200&&t.inputState.lastTouchTime{let r=this.delayedAndroidKey;r&&(this.clearDelayedAndroidKey(),this.view.inputState.lastKeyCode=r.keyCode,this.view.inputState.lastKeyTime=Date.now(),!this.flush()&&r.force&&Je(this.dom,r.key,r.keyCode))};this.flushingAndroidKey=this.view.win.requestAnimationFrame(s)}(!this.delayedAndroidKey||t=="Enter")&&(this.delayedAndroidKey={key:t,keyCode:e,force:this.lastChange{this.delayedFlush=-1,this.flush()}))}forceFlush(){this.delayedFlush>=0&&(this.view.win.cancelAnimationFrame(this.delayedFlush),this.delayedFlush=-1),this.flush()}pendingRecords(){for(let t of this.observer.takeRecords())this.queue.push(t);return this.queue}processRecords(){let t=this.pendingRecords();t.length&&(this.queue=[]);let e=-1,i=-1,s=!1;for(let r of t){let o=this.readMutation(r);o&&(o.typeOver&&(s=!0),e==-1?{from:e,to:i}=o:(e=Math.min(o.from,e),i=Math.max(o.to,i)))}return{from:e,to:i,typeOver:s}}readChange(){let{from:t,to:e,typeOver:i}=this.processRecords(),s=this.selectionChanged&&ls(this.dom,this.selectionRange);if(t<0&&!s)return null;t>-1&&(this.lastChange=Date.now()),this.view.inputState.lastFocusTime=0,this.selectionChanged=!1;let r=new In(this.view,t,e,i);return this.view.docView.domChanged={newSel:r.newSel?r.newSel.main:null},r}flush(t=!0){if(this.delayedFlush>=0||this.delayedAndroidKey)return!1;t&&this.readSelectionRange();let e=this.readChange();if(!e)return this.view.requestMeasure(),!1;let i=this.view.state,s=eh(this.view,e);return this.view.state==i&&(e.domChanged||e.newSel&&!e.newSel.main.eq(this.view.state.selection.main))&&this.view.update([]),s}readMutation(t){let e=this.view.docView.nearest(t.target);if(!e||e.ignoreMutation(t))return null;if(e.markDirty(t.type=="attributes"),t.type=="attributes"&&(e.flags|=4),t.type=="childList"){let i=il(e,t.previousSibling||t.target.previousSibling,-1),s=il(e,t.nextSibling||t.target.nextSibling,1);return{from:i?e.posAfter(i):e.posAtStart,to:s?e.posBefore(s):e.posAtEnd,typeOver:!1}}else return t.type=="characterData"?{from:e.posAtStart,to:e.posAtEnd,typeOver:t.target.nodeValue==t.oldValue}:null}setWindow(t){t!=this.win&&(this.removeWindowListeners(this.win),this.win=t,this.addWindowListeners(this.win))}addWindowListeners(t){t.addEventListener("resize",this.onResize),this.printQuery?this.printQuery.addEventListener?this.printQuery.addEventListener("change",this.onPrint):this.printQuery.addListener(this.onPrint):t.addEventListener("beforeprint",this.onPrint),t.addEventListener("scroll",this.onScroll),t.document.addEventListener("selectionchange",this.onSelectionChange)}removeWindowListeners(t){t.removeEventListener("scroll",this.onScroll),t.removeEventListener("resize",this.onResize),this.printQuery?this.printQuery.removeEventListener?this.printQuery.removeEventListener("change",this.onPrint):this.printQuery.removeListener(this.onPrint):t.removeEventListener("beforeprint",this.onPrint),t.document.removeEventListener("selectionchange",this.onSelectionChange)}update(t){this.editContext&&(this.editContext.update(t),t.startState.facet(ne)!=t.state.facet(ne)&&(t.view.contentDOM.editContext=t.state.facet(ne)?this.editContext.editContext:null))}destroy(){var t,e,i;this.stop(),(t=this.intersection)===null||t===void 0||t.disconnect(),(e=this.gapIntersection)===null||e===void 0||e.disconnect(),(i=this.resizeScroll)===null||i===void 0||i.disconnect();for(let s of this.scrollTargets)s.removeEventListener("scroll",this.onScroll);this.removeWindowListeners(this.win),clearTimeout(this.parentCheck),clearTimeout(this.resizeTimeout),this.win.cancelAnimationFrame(this.delayedFlush),this.win.cancelAnimationFrame(this.flushingAndroidKey),this.editContext&&(this.view.contentDOM.editContext=null,this.editContext.destroy())}};Gn=class{constructor(t){this.from=0,this.to=0,this.pendingContextChange=null,this.handlers=Object.create(null),this.composing=null,this.resetRange(t.state);let e=this.editContext=new window.EditContext({text:t.state.doc.sliceString(this.from,this.to),selectionStart:this.toContextPos(Math.max(this.from,Math.min(this.to,t.state.selection.main.anchor))),selectionEnd:this.toContextPos(t.state.selection.main.head)});this.handlers.textupdate=i=>{let s=t.state.selection.main,{anchor:r,head:o}=s,l=this.toEditorPos(i.updateRangeStart),h=this.toEditorPos(i.updateRangeEnd);t.inputState.composing>=0&&!this.composing&&(this.composing={contextBase:i.updateRangeStart,editorBase:l,drifted:!1});let a=h-l>i.text.length;l==this.from&&rthis.to&&(h=r);let f=ih(t.state.sliceDoc(l,h),i.text,(a?s.from:s.to)-l,a?"end":null);if(!f){let u=A.single(this.toEditorPos(i.selectionStart),this.toEditorPos(i.selectionEnd));u.main.eq(s)||t.dispatch({selection:u,userEvent:"select"});return}let c={from:f.from+l,to:f.toA+l,insert:F.of(i.text.slice(f.from,f.toB).split(` +`))};if((v.mac||v.android)&&c.from==o-1&&/^\. ?$/.test(i.text)&&t.contentDOM.getAttribute("autocorrect")=="off"&&(c={from:l,to:h,insert:F.of([i.text.replace("."," ")])}),this.pendingContextChange=c,!t.state.readOnly){let u=this.to-this.from+(c.to-c.from+c.insert.length);ar(t,c,A.single(this.toEditorPos(i.selectionStart,u),this.toEditorPos(i.selectionEnd,u)))}this.pendingContextChange&&(this.revertPending(t.state),this.setSelection(t.state)),c.from=0&&!/[\\p{Alphabetic}\\p{Number}_]/.test(e.text.slice(Math.max(0,i.updateRangeStart-1),Math.min(e.text.length,i.updateRangeStart+1)))&&this.handlers.compositionend(i)},this.handlers.characterboundsupdate=i=>{let s=[],r=null;for(let o=this.toEditorPos(i.rangeStart),l=this.toEditorPos(i.rangeEnd);o{let s=[];for(let r of i.getTextFormats()){let o=r.underlineStyle,l=r.underlineThickness;if(!/none/i.test(o)&&!/none/i.test(l)){let h=this.toEditorPos(r.rangeStart),a=this.toEditorPos(r.rangeEnd);if(h{t.inputState.composing<0&&(t.inputState.composing=0,t.inputState.compositionFirstChange=!0)},this.handlers.compositionend=()=>{if(t.inputState.composing=-1,t.inputState.compositionFirstChange=null,this.composing){let{drifted:i}=this.composing;this.composing=null,i&&this.reset(t.state)}};for(let i in this.handlers)e.addEventListener(i,this.handlers[i]);this.measureReq={read:i=>{this.editContext.updateControlBounds(i.contentDOM.getBoundingClientRect());let s=vi(i.root);s&&s.rangeCount&&this.editContext.updateSelectionBounds(s.getRangeAt(0).getBoundingClientRect())}}}applyEdits(t){let e=0,i=!1,s=this.pendingContextChange;return t.changes.iterChanges((r,o,l,h,a)=>{if(i)return;let f=a.length-(o-r);if(s&&o>=s.to)if(s.from==r&&s.to==o&&s.insert.eq(a)){s=this.pendingContextChange=null,e+=f,this.to+=f;return}else s=null,this.revertPending(t.state);if(r+=e,o+=e,o<=this.from)this.from+=f,this.to+=f;else if(rthis.to||this.to-this.from+a.length>3e4){i=!0;return}this.editContext.updateText(this.toContextPos(r),this.toContextPos(o),a.toString()),this.to+=f}e+=f}),s&&!i&&this.revertPending(t.state),!i}update(t){let e=this.pendingContextChange,i=t.startState.selection.main;this.composing&&(this.composing.drifted||!t.changes.touchesRange(i.from,i.to)&&t.transactions.some(s=>!s.isUserEvent("input.type")&&s.changes.touchesRange(this.from,this.to)))?(this.composing.drifted=!0,this.composing.editorBase=t.changes.mapPos(this.composing.editorBase)):!this.applyEdits(t)||!this.rangeIsValid(t.state)?(this.pendingContextChange=null,this.reset(t.state)):(t.docChanged||t.selectionSet||e)&&this.setSelection(t.state),(t.geometryChanged||t.docChanged||t.selectionSet)&&t.view.requestMeasure(this.measureReq)}resetRange(t){let{head:e}=t.selection.main;this.from=Math.max(0,e-1e4),this.to=Math.min(t.doc.length,e+1e4)}reset(t){this.resetRange(t),this.editContext.updateText(0,this.editContext.text.length,t.doc.sliceString(this.from,this.to)),this.setSelection(t)}revertPending(t){let e=this.pendingContextChange;this.pendingContextChange=null,this.editContext.updateText(this.toContextPos(e.from),this.toContextPos(e.from+e.insert.length),t.doc.sliceString(e.from,e.to))}setSelection(t){let{main:e}=t.selection,i=this.toContextPos(Math.max(this.from,Math.min(this.to,e.anchor))),s=this.toContextPos(e.head);(this.editContext.selectionStart!=i||this.editContext.selectionEnd!=s)&&this.editContext.updateSelection(i,s)}rangeIsValid(t){let{head:e}=t.selection.main;return!(this.from>0&&e-this.from<500||this.to1e4*3)}toEditorPos(t,e=this.to-this.from){t=Math.min(t,e);let i=this.composing;return i&&i.drifted?i.editorBase+(t-i.contextBase):t+this.from}toContextPos(t){let e=this.composing;return e&&e.drifted?e.contextBase+(t-e.editorBase):t-this.from}destroy(){for(let t in this.handlers)this.editContext.removeEventListener(t,this.handlers[t])}},P=class{get state(){return this.viewState.state}get viewport(){return this.viewState.viewport}get visibleRanges(){return this.viewState.visibleRanges}get inView(){return this.viewState.inView}get composing(){return!!this.inputState&&this.inputState.composing>0}get compositionStarted(){return!!this.inputState&&this.inputState.composing>=0}get root(){return this._root}get win(){return this.dom.ownerDocument.defaultView||window}constructor(t={}){var e;this.plugins=[],this.pluginMap=new Map,this.editorAttrs={},this.contentAttrs={},this.bidiCache=[],this.destroyed=!1,this.updateState=2,this.measureScheduled=-1,this.measureRequests=[],this.contentDOM=document.createElement("div"),this.scrollDOM=document.createElement("div"),this.scrollDOM.tabIndex=-1,this.scrollDOM.className="cm-scroller",this.scrollDOM.appendChild(this.contentDOM),this.announceDOM=document.createElement("div"),this.announceDOM.className="cm-announced",this.announceDOM.setAttribute("aria-live","polite"),this.dom=document.createElement("div"),this.dom.appendChild(this.announceDOM),this.dom.appendChild(this.scrollDOM),t.parent&&t.parent.appendChild(this.dom);let{dispatch:i}=t;this.dispatchTransactions=t.dispatchTransactions||i&&(s=>s.forEach(r=>i(r,this)))||(s=>this.update(s)),this.dispatch=this.dispatch.bind(this),this._root=t.root||qa(t.parent)||document,this.viewState=new xs(t.state||I.create(t)),t.scrollTo&&t.scrollTo.is(ts)&&(this.viewState.scrollTarget=t.scrollTo.value.clip(this.viewState.state)),this.plugins=this.state.facet(_e).map(s=>new bi(s));for(let s of this.plugins)s.update(this);this.observer=new Yn(this),this.inputState=new Fn(this),this.inputState.ensureHandlers(this.plugins),this.docView=new gs(this),this.mountStyles(),this.updateAttrs(),this.updateState=0,this.requestMeasure(),!((e=document.fonts)===null||e===void 0)&&e.ready&&document.fonts.ready.then(()=>this.requestMeasure())}dispatch(...t){let e=t.length==1&&t[0]instanceof it?t:t.length==1&&Array.isArray(t[0])?t[0]:[this.state.update(...t)];this.dispatchTransactions(e,this)}update(t){if(this.updateState!=0)throw new Error("Calls to EditorView.update are not allowed while an update is in progress");let e=!1,i=!1,s,r=this.state;for(let u of t){if(u.startState!=r)throw new RangeError("Trying to update state with a transaction that doesn't start from the previous state.");r=u.state}if(this.destroyed){this.viewState.state=r;return}let o=this.hasFocus,l=0,h=null;t.some(u=>u.annotation(hh))?(this.inputState.notifiedFocused=o,l=1):o!=this.inputState.notifiedFocused&&(this.inputState.notifiedFocused=o,h=ah(r,o),h||(l=1));let a=this.observer.delayedAndroidKey,f=null;if(a?(this.observer.clearDelayedAndroidKey(),f=this.observer.readChange(),(f&&!this.state.doc.eq(r.doc)||!this.state.selection.eq(r.selection))&&(f=null)):this.observer.clear(),r.facet(I.phrases)!=this.state.facet(I.phrases))return this.setState(r);s=Qe.create(this,r,t),s.flags|=l;let c=this.viewState.scrollTarget;try{this.updateState=2;for(let u of t){if(c&&(c=c.map(u.changes)),u.scrollIntoView){let{main:d}=u.state.selection;c=new he(d.empty?d:A.cursor(d.head,d.head>d.anchor?-1:1))}for(let d of u.effects)d.is(ts)&&(c=d.value.clip(this.state))}this.viewState.update(s,c),this.bidiCache=ti.update(this.bidiCache,s.changes),s.empty||(this.updatePlugins(s),this.inputState.update(s)),e=this.docView.update(s),this.state.facet(ui)!=this.styleModules&&this.mountStyles(),i=this.updateAttrs(),this.showAnnouncements(t),this.docView.updateSelection(e,t.some(u=>u.isUserEvent("select.pointer")))}finally{this.updateState=0}if(s.startState.facet(rs)!=s.state.facet(rs)&&(this.viewState.mustMeasureContent=!0),(e||i||c||this.viewState.mustEnforceCursorAssoc||this.viewState.mustMeasureContent)&&this.requestMeasure(),e&&this.docViewUpdate(),!s.empty)for(let u of this.state.facet(En))try{u(s)}catch(d){Bt(this.state,d,"update listener")}(h||f)&&Promise.resolve().then(()=>{h&&this.state==h.startState&&this.dispatch(h),f&&!eh(this,f)&&a.force&&Je(this.contentDOM,a.key,a.keyCode)})}setState(t){if(this.updateState!=0)throw new Error("Calls to EditorView.setState are not allowed while an update is in progress");if(this.destroyed){this.viewState.state=t;return}this.updateState=2;let e=this.hasFocus;try{for(let i of this.plugins)i.destroy(this);this.viewState=new xs(t),this.plugins=t.facet(_e).map(i=>new bi(i)),this.pluginMap.clear();for(let i of this.plugins)i.update(this);this.docView.destroy(),this.docView=new gs(this),this.inputState.ensureHandlers(this.plugins),this.mountStyles(),this.updateAttrs(),this.bidiCache=[]}finally{this.updateState=0}e&&this.focus(),this.requestMeasure()}updatePlugins(t){let e=t.startState.facet(_e),i=t.state.facet(_e);if(e!=i){let s=[];for(let r of i){let o=e.indexOf(r);if(o<0)s.push(new bi(r));else{let l=this.plugins[o];l.mustUpdate=t,s.push(l)}}for(let r of this.plugins)r.mustUpdate!=t&&r.destroy(this);this.plugins=s,this.pluginMap.clear()}else for(let s of this.plugins)s.mustUpdate=t;for(let s=0;s-1&&this.win.cancelAnimationFrame(this.measureScheduled),this.observer.delayedAndroidKey){this.measureScheduled=-1,this.requestMeasure();return}this.measureScheduled=0,t&&this.observer.forceFlush();let e=null,i=this.scrollDOM,s=i.scrollTop*this.scaleY,{scrollAnchorPos:r,scrollAnchorHeight:o}=this.viewState;Math.abs(s-this.viewState.scrollTop)>1&&(o=-1),this.viewState.scrollAnchorHeight=-1;try{for(let l=0;;l++){if(o<0)if(vl(i))r=-1,o=this.viewState.heightMap.height;else{let d=this.viewState.scrollAnchorAt(s);r=d.from,o=d.top}this.updateState=1;let h=this.viewState.measure(this);if(!h&&!this.measureRequests.length&&this.viewState.scrollTarget==null)break;if(l>5){console.warn(this.measureRequests.length?"Measure loop restarted more than 5 times":"Viewport failed to stabilize");break}let a=[];h&4||([this.measureRequests,a]=[a,this.measureRequests]);let f=a.map(d=>{try{return d.read(this)}catch(p){return Bt(this.state,p),nl}}),c=Qe.create(this,this.state,[]),u=!1;c.flags|=h,e?e.flags|=h:e=c,this.updateState=2,c.empty||(this.updatePlugins(c),this.inputState.update(c),this.updateAttrs(),u=this.docView.update(c),u&&this.docViewUpdate());for(let d=0;d1||p<-1){s=s+p,i.scrollTop=s/this.scaleY,o=-1;continue}}break}}}finally{this.updateState=0,this.measureScheduled=-1}if(e&&!e.empty)for(let l of this.state.facet(En))l(e)}get themeClasses(){return Un+" "+(this.state.facet($n)?uh:ch)+" "+this.state.facet(rs)}updateAttrs(){let t=rl(this,Ul,{class:"cm-editor"+(this.hasFocus?" cm-focused ":" ")+this.themeClasses}),e={spellcheck:"false",autocorrect:"off",autocapitalize:"off",writingsuggestions:"false",translate:"no",contenteditable:this.state.facet(ne)?"true":"false",class:"cm-content",style:`${v.tabSize}: ${this.state.tabSize}`,role:"textbox","aria-multiline":"true"};this.state.readOnly&&(e["aria-readonly"]="true"),rl(this,Cs,e);let i=this.observer.ignore(()=>{let s=Dn(this.contentDOM,this.contentAttrs,e),r=Dn(this.dom,this.editorAttrs,t);return s||r});return this.editorAttrs=t,this.contentAttrs=e,i}showAnnouncements(t){let e=!0;for(let i of t)for(let s of i.effects)if(s.is(P.announce)){e&&(this.announceDOM.textContent=""),e=!1;let r=this.announceDOM.appendChild(document.createElement("div"));r.textContent=s.value}}mountStyles(){this.styleModules=this.state.facet(ui);let t=this.state.facet(P.cspNonce);At.mount(this.root,this.styleModules.concat(Gf).reverse(),t?{nonce:t}:void 0)}readMeasured(){if(this.updateState==2)throw new Error("Reading the editor layout isn't allowed during an update");this.updateState==0&&this.measureScheduled>-1&&this.measure(!1)}requestMeasure(t){if(this.measureScheduled<0&&(this.measureScheduled=this.win.requestAnimationFrame(()=>this.measure())),t){if(this.measureRequests.indexOf(t)>-1)return;if(t.key!=null){for(let e=0;ei.plugin==t)||null),e&&e.update(this).value}get documentTop(){return this.contentDOM.getBoundingClientRect().top+this.viewState.paddingTop}get documentPadding(){return{top:this.viewState.paddingTop,bottom:this.viewState.paddingBottom}}get scaleX(){return this.viewState.scaleX}get scaleY(){return this.viewState.scaleY}elementAtHeight(t){return this.readMeasured(),this.viewState.elementAtHeight(t)}lineBlockAtHeight(t){return this.readMeasured(),this.viewState.lineBlockAtHeight(t)}get viewportLineBlocks(){return this.viewState.viewportLines}lineBlockAt(t){return this.viewState.lineBlockAt(t)}get contentHeight(){return this.viewState.contentHeight}moveByChar(t,e,i){return mn(this,t,qo(this,t,e,i))}moveByGroup(t,e){return mn(this,t,qo(this,t,e,i=>wf(this,t.head,i)))}visualLineSide(t,e){let i=this.bidiSpans(t),s=this.textDirectionAt(t.from),r=i[e?i.length-1:0];return A.cursor(r.side(e,s)+t.from,r.forward(!e,s)?1:-1)}moveToLineBoundary(t,e,i=!0){return xf(this,t,e,i)}moveVertically(t,e,i){return mn(this,t,kf(this,t,e,i))}domAtPos(t){return this.docView.domAtPos(t)}posAtDOM(t,e=0){return this.docView.posFromDOM(t,e)}posAtCoords(t,e=!0){return this.readMeasured(),Ql(this,t,e)}coordsAtPos(t,e=1){this.readMeasured();let i=this.docView.coordsAt(t,e);if(!i||i.left==i.right)return i;let s=this.state.doc.lineAt(t),r=this.bidiSpans(s),o=r[jt.find(r,t-s.from,-1,e)];return Ss(i,o.dir==J.LTR==e>0)}coordsForChar(t){return this.readMeasured(),this.docView.coordsForChar(t)}get defaultCharacterWidth(){return this.viewState.heightOracle.charWidth}get defaultLineHeight(){return this.viewState.heightOracle.lineHeight}get textDirection(){return this.viewState.defaultTextDirection}textDirectionAt(t){return!this.state.facet(ql)||tthis.viewport.to?this.textDirection:(this.readMeasured(),this.docView.textDirectionAt(t))}get lineWrapping(){return this.viewState.heightOracle.lineWrapping}bidiSpans(t){if(t.length>Qf)return Nl(t.length);let e=this.textDirectionAt(t.from),i;for(let r of this.bidiCache)if(r.from==t.from&&r.dir==e&&(r.fresh||Bl(r.isolates,i=Fo(this,t))))return r.order;i||(i=Fo(this,t));let s=sf(t.text,e,i);return this.bidiCache.push(new ti(t.from,t.to,e,i,!0,s)),s}get hasFocus(){var t;return(this.dom.ownerDocument.hasFocus()||v.safari&&((t=this.inputState)===null||t===void 0?void 0:t.lastContextMenu)>Date.now()-3e4)&&this.root.activeElement==this.contentDOM}focus(){this.observer.ignore(()=>{wl(this.contentDOM),this.docView.updateSelection()})}setRoot(t){this._root!=t&&(this._root=t,this.observer.setWindow((t.nodeType==9?t:t.ownerDocument).defaultView||window),this.mountStyles())}destroy(){this.root.activeElement==this.contentDOM&&this.contentDOM.blur();for(let t of this.plugins)t.destroy(this);this.plugins=[],this.inputState.destroy(),this.docView.destroy(),this.dom.remove(),this.observer.destroy(),this.measureScheduled>-1&&this.win.cancelAnimationFrame(this.measureScheduled),this.destroyed=!0}static scrollIntoView(t,e={}){return ts.of(new he(typeof 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t=Ae(n,{render:null,specialChars:uc,addSpecialChars:null});return(t.replaceTabs=!pc())&&(t.specialChars=new RegExp(" |"+t.specialChars.source,Qn)),t.addSpecialChars&&(t.specialChars=new RegExp(t.specialChars.source+"|"+t.addSpecialChars.source,Qn)),t}});fl=null;mc="\u2022";Zn=class extends Ut{constructor(t,e){super(),this.options=t,this.code=e}eq(t){return t.code==this.code}toDOM(t){let e=bc(this.code),i=t.state.phrase("Control character")+" "+(dc[this.code]||"0x"+this.code.toString(16)),s=this.options.render&&this.options.render(this.code,i,e);if(s)return s;let r=document.createElement("span");return r.textContent=e,r.title=i,r.setAttribute("aria-label",i),r.className="cm-specialChar",r}ignoreEvent(){return!1}},tr=class extends Ut{constructor(t){super(),this.width=t}eq(t){return t.width==this.width}toDOM(){let t=document.createElement("span");return t.textContent=" 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ws(n,t)),this.fixed=!n.state.facet(ir);for(let t of this.gutters)t.config.side=="after"?this.getDOMAfter().appendChild(t.dom):this.dom.appendChild(t.dom);this.fixed&&(this.dom.style.position="sticky"),this.syncGutters(!1),n.scrollDOM.insertBefore(this.dom,n.contentDOM)}getDOMAfter(){return this.domAfter||(this.domAfter=document.createElement("div"),this.domAfter.className="cm-gutters cm-gutters-after",this.domAfter.setAttribute("aria-hidden","true"),this.domAfter.style.minHeight=this.view.contentHeight/this.view.scaleY+"px",this.domAfter.style.position=this.fixed?"sticky":"",this.view.scrollDOM.appendChild(this.domAfter)),this.domAfter}update(n){if(this.updateGutters(n)){let t=this.prevViewport,e=n.view.viewport,i=Math.min(t.to,e.to)-Math.max(t.from,e.from);this.syncGutters(i<(e.to-e.from)*.8)}if(n.geometryChanged){let 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e(a){a.languages.matlab={comment:[/%\{[\s\S]*?\}%/,/%.+/],string:{pattern:/\B'(?:''|[^'\r\n])*'/,greedy:!0},number:/(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:[eE][+-]?\d+)?(?:[ij])?|\b[ij]\b/,keyword:/\b(?:NaN|break|case|catch|continue|else|elseif|end|for|function|if|inf|otherwise|parfor|pause|pi|return|switch|try|while)\b/,function:/\b(?!\d)\w+(?=\s*\()/,operator:/\.?[*^\/\\']|[+\-:@]|[<>=~]=?|&&?|\|\|?/,punctuation:/\.{3}|[.,;\[\](){}!]/}}});export{r as a}; diff --git a/build/_shared/chunk-AMSYD6KQ.js b/build/_shared/chunk-AMSYD6KQ.js new file mode 100644 index 00000000..d5d79465 --- /dev/null +++ b/build/_shared/chunk-AMSYD6KQ.js @@ -0,0 +1 @@ +import{c as r}from"/numpy-tutorials/build/_shared/chunk-OZE3FFNP.js";var n=r((d,a)=>{a.exports=e;e.displayName="j";e.aliases=[];function e(t){t.languages.j={comment:{pattern:/\bNB\..*/,greedy:!0},string:{pattern:/'(?:''|[^'\r\n])*'/,greedy:!0},keyword:/\b(?:(?:CR|LF|adverb|conjunction|def|define|dyad|monad|noun|verb)\b|(?:assert|break|case|catch[dt]?|continue|do|else|elseif|end|fcase|for|for_\w+|goto_\w+|if|label_\w+|return|select|throw|try|while|whilst)\.)/,verb:{pattern:/(?!\^:|;\.|[=!][.:])(?:\{(?:\.|::?)?|p(?:\.\.?|:)|[=!\]]|[<>+*\-%$|,#][.:]?|[?^]\.?|[;\[]:?|[~}"i][.:]|[ACeEIjLor]\.|(?:[_\/\\qsux]|_?\d):)/,alias:"keyword"},number:/\b_?(?:(?!\d:)\d+(?:\.\d+)?(?:(?:ad|ar|[ejpx])_?\d+(?:\.\d+)?)*(?:b_?[\da-z]+(?:\.[\da-z]+)?)?|_\b(?!\.))/,adverb:{pattern:/[~}]|[\/\\]\.?|[bfM]\.|t[.:]/,alias:"builtin"},operator:/[=a][.:]|_\./,conjunction:{pattern:/&(?:\.:?|:)?|[.:@][.:]?|[!D][.:]|[;dHT]\.|`:?|[\^LS]:|"/,alias:"variable"},punctuation:/[()]/}}});export{n as a}; diff --git a/build/_shared/chunk-AOSFOWX6.js b/build/_shared/chunk-AOSFOWX6.js new file mode 100644 index 00000000..5bd23b56 --- /dev/null +++ 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e}getDate(e=this.date,t={weekday:this.weekdayFormat,month:this.monthFormat,day:this.dayFormat,year:this.yearFormat},r=this.locale){let n=this.getDateObject(e);if(!n.getTime())return"";let s=Object.assign({timeZone:Intl.DateTimeFormat().resolvedOptions().timeZone},t);return new Intl.DateTimeFormat(r,s).format(n)}getDay(e=this.date.getDate(),t=this.dayFormat,r=this.locale){return this.getDate({month:1,day:e,year:2020},{day:t},r)}getMonth(e=this.date.getMonth()+1,t=this.monthFormat,r=this.locale){return this.getDate({month:e,day:2,year:2020},{month:t},r)}getYear(e=this.date.getFullYear(),t=this.yearFormat,r=this.locale){return this.getDate({month:2,day:2,year:e},{year:t},r)}getWeekday(e=0,t=this.weekdayFormat,r=this.locale){let n=`1-${e+1}-2017`;return this.getDate(n,{weekday:t},r)}getWeekdays(e=this.weekdayFormat,t=this.locale){return Array(7).fill(null).map((r,n)=>this.getWeekday(n,e,t))}}});var $n,pj=b(()=>{Le();B();ye();Pe();u3();$n=class extends ee{constructor(){super(...arguments),this.dateFormatter=new e1,this.readonly=!1,this.locale="en-US",this.month=new Date().getMonth()+1,this.year=new Date().getFullYear(),this.dayFormat="numeric",this.weekdayFormat="short",this.monthFormat="long",this.yearFormat="numeric",this.minWeeks=0,this.disabledDates="",this.selectedDates="",this.oneDayInMs=864e5}localeChanged(){this.dateFormatter.locale=this.locale}dayFormatChanged(){this.dateFormatter.dayFormat=this.dayFormat}weekdayFormatChanged(){this.dateFormatter.weekdayFormat=this.weekdayFormat}monthFormatChanged(){this.dateFormatter.monthFormat=this.monthFormat}yearFormatChanged(){this.dateFormatter.yearFormat=this.yearFormat}getMonthInfo(e=this.month,t=this.year){let r=l=>new Date(l.getFullYear(),l.getMonth(),1).getDay(),n=l=>{let u=new Date(l.getFullYear(),l.getMonth()+1,1);return new Date(u.getTime()-this.oneDayInMs).getDate()},s=new Date(t,e-1),o=new Date(t,e),a=new Date(t,e-2);return{length:n(s),month:e,start:r(s),year:t,previous:{length:n(a),month:a.getMonth()+1,start:r(a),year:a.getFullYear()},next:{length:n(o),month:o.getMonth()+1,start:r(o),year:o.getFullYear()}}}getDays(e=this.getMonthInfo(),t=this.minWeeks){t=t>10?10:t;let{start:r,length:n,previous:s,next:o}=e,a=[],l=1-r;for(;ln?o:e,d=l<1?s.length+l:l>n?l-n:l,h=`${u}-${d}-${c}`,f=this.dateInString(h,this.disabledDates),p=this.dateInString(h,this.selectedDates),g={day:d,month:u,year:c,disabled:f,selected:p},v=a[a.length-1];a.length===0||v.length%7===0?a.push([g]):v.push(g),l++}return a}dateInString(e,t){let r=t.split(",").map(n=>n.trim());return e=typeof e=="string"?e:`${e.getMonth()+1}-${e.getDate()}-${e.getFullYear()}`,r.some(n=>n===e)}getDayClassNames(e,t){let{day:r,month:n,year:s,disabled:o,selected:a}=e,l=t===`${n}-${r}-${s}`,u=this.month!==n;return["day",l&&"today",u&&"inactive",o&&"disabled",a&&"selected"].filter(Boolean).join(" ")}getWeekdayText(){let e=this.dateFormatter.getWeekdays().map(t=>({text:t}));if(this.weekdayFormat!=="long"){let t=this.dateFormatter.getWeekdays("long");e.forEach((r,n)=>{r.abbr=t[n]})}return e}handleDateSelect(e,t){e.preventDefault,this.$emit("dateselected",t)}handleKeydown(e,t){return e.key===ni&&this.handleDateSelect(e,t),!0}};T([A({mode:"boolean"})],$n.prototype,"readonly",void 0);T([A],$n.prototype,"locale",void 0);T([A({converter:me})],$n.prototype,"month",void 0);T([A({converter:me})],$n.prototype,"year",void 0);T([A({attribute:"day-format",mode:"fromView"})],$n.prototype,"dayFormat",void 0);T([A({attribute:"weekday-format",mode:"fromView"})],$n.prototype,"weekdayFormat",void 0);T([A({attribute:"month-format",mode:"fromView"})],$n.prototype,"monthFormat",void 0);T([A({attribute:"year-format",mode:"fromView"})],$n.prototype,"yearFormat",void 0);T([A({attribute:"min-weeks",converter:me})],$n.prototype,"minWeeks",void 0);T([A({attribute:"disabled-dates"})],$n.prototype,"disabledDates",void 0);T([A({attribute:"selected-dates"})],$n.prototype,"selectedDates",void 0)});var qp,da,zc,t1=b(()=>{qp={none:"none",default:"default",sticky:"sticky"},da={default:"default",columnHeader:"columnheader",rowHeader:"rowheader"},zc={default:"default",header:"header",stickyHeader:"sticky-header"}});var Ei,c3=b(()=>{Le();B();ye();Pe();t1();Ei=class extends ee{constructor(){super(...arguments),this.rowType=zc.default,this.rowData=null,this.columnDefinitions=null,this.isActiveRow=!1,this.cellsRepeatBehavior=null,this.cellsPlaceholder=null,this.focusColumnIndex=0,this.refocusOnLoad=!1,this.updateRowStyle=()=>{this.style.gridTemplateColumns=this.gridTemplateColumns}}gridTemplateColumnsChanged(){this.$fastController.isConnected&&this.updateRowStyle()}rowTypeChanged(){this.$fastController.isConnected&&this.updateItemTemplate()}rowDataChanged(){if(this.rowData!==null&&this.isActiveRow){this.refocusOnLoad=!0;return}}cellItemTemplateChanged(){this.updateItemTemplate()}headerCellItemTemplateChanged(){this.updateItemTemplate()}connectedCallback(){super.connectedCallback(),this.cellsRepeatBehavior===null&&(this.cellsPlaceholder=document.createComment(""),this.appendChild(this.cellsPlaceholder),this.updateItemTemplate(),this.cellsRepeatBehavior=new aa(e=>e.columnDefinitions,e=>e.activeCellItemTemplate,{positioning:!0}).createBehavior(this.cellsPlaceholder),this.$fastController.addBehaviors([this.cellsRepeatBehavior])),this.addEventListener("cell-focused",this.handleCellFocus),this.addEventListener(la,this.handleFocusout),this.addEventListener(ua,this.handleKeydown),this.updateRowStyle(),this.refocusOnLoad&&(this.refocusOnLoad=!1,this.cellElements.length>this.focusColumnIndex&&this.cellElements[this.focusColumnIndex].focus())}disconnectedCallback(){super.disconnectedCallback(),this.removeEventListener("cell-focused",this.handleCellFocus),this.removeEventListener(la,this.handleFocusout),this.removeEventListener(ua,this.handleKeydown)}handleFocusout(e){this.contains(e.target)||(this.isActiveRow=!1,this.focusColumnIndex=0)}handleCellFocus(e){this.isActiveRow=!0,this.focusColumnIndex=this.cellElements.indexOf(e.target),this.$emit("row-focused",this)}handleKeydown(e){if(e.defaultPrevented)return;let t=0;switch(e.key){case Er:t=Math.max(0,this.focusColumnIndex-1),this.cellElements[t].focus(),e.preventDefault();break;case kr:t=Math.min(this.cellElements.length-1,this.focusColumnIndex+1),this.cellElements[t].focus(),e.preventDefault();break;case Ci:e.ctrlKey||(this.cellElements[0].focus(),e.preventDefault());break;case Ii:e.ctrlKey||(this.cellElements[this.cellElements.length-1].focus(),e.preventDefault());break}}updateItemTemplate(){this.activeCellItemTemplate=this.rowType===zc.default&&this.cellItemTemplate!==void 0?this.cellItemTemplate:this.rowType===zc.default&&this.cellItemTemplate===void 0?this.defaultCellItemTemplate:this.headerCellItemTemplate!==void 0?this.headerCellItemTemplate:this.defaultHeaderCellItemTemplate}};T([A({attribute:"grid-template-columns"})],Ei.prototype,"gridTemplateColumns",void 0);T([A({attribute:"row-type"})],Ei.prototype,"rowType",void 0);T([P],Ei.prototype,"rowData",void 0);T([P],Ei.prototype,"columnDefinitions",void 0);T([P],Ei.prototype,"cellItemTemplate",void 0);T([P],Ei.prototype,"headerCellItemTemplate",void 0);T([P],Ei.prototype,"rowIndex",void 0);T([P],Ei.prototype,"isActiveRow",void 0);T([P],Ei.prototype,"activeCellItemTemplate",void 0);T([P],Ei.prototype,"defaultCellItemTemplate",void 0);T([P],Ei.prototype,"defaultHeaderCellItemTemplate",void 0);T([P],Ei.prototype,"cellElements",void 0)});function S3e(i){let e=i.tagFor(Ei);return H` + <${e} + :rowData="${t=>t}" + :cellItemTemplate="${(t,r)=>r.parent.cellItemTemplate}" + :headerCellItemTemplate="${(t,r)=>r.parent.headerCellItemTemplate}" + > +`}var mj,gj=b(()=>{B();c3();mj=(i,e)=>{let t=S3e(i),r=i.tagFor(Ei);return H` + + `}});var si,bj=b(()=>{Le();B();ye();Pe();t1();si=class extends ee{constructor(){super(),this.noTabbing=!1,this.generateHeader=qp.default,this.rowsData=[],this.columnDefinitions=null,this.focusRowIndex=0,this.focusColumnIndex=0,this.rowsPlaceholder=null,this.generatedHeader=null,this.isUpdatingFocus=!1,this.pendingFocusUpdate=!1,this.rowindexUpdateQueued=!1,this.columnDefinitionsStale=!0,this.generatedGridTemplateColumns="",this.focusOnCell=(e,t,r)=>{if(this.rowElements.length===0){this.focusRowIndex=0,this.focusColumnIndex=0;return}let n=Math.max(0,Math.min(this.rowElements.length-1,e)),o=this.rowElements[n].querySelectorAll('[role="cell"], [role="gridcell"], [role="columnheader"], [role="rowheader"]'),a=Math.max(0,Math.min(o.length-1,t)),l=o[a];r&&this.scrollHeight!==this.clientHeight&&(n0||n>this.focusRowIndex&&this.scrollTop{e&&e.length&&(e.forEach(r=>{r.addedNodes.forEach(n=>{n.nodeType===1&&n.getAttribute("role")==="row"&&(n.columnDefinitions=this.columnDefinitions)})}),this.queueRowIndexUpdate())},this.queueRowIndexUpdate=()=>{this.rowindexUpdateQueued||(this.rowindexUpdateQueued=!0,ce.queueUpdate(this.updateRowIndexes))},this.updateRowIndexes=()=>{let e=this.gridTemplateColumns;if(e===void 0){if(this.generatedGridTemplateColumns===""&&this.rowElements.length>0){let t=this.rowElements[0];this.generatedGridTemplateColumns=new Array(t.cellElements.length).fill("1fr").join(" ")}e=this.generatedGridTemplateColumns}this.rowElements.forEach((t,r)=>{let n=t;n.rowIndex=r,n.gridTemplateColumns=e,this.columnDefinitionsStale&&(n.columnDefinitions=this.columnDefinitions)}),this.rowindexUpdateQueued=!1,this.columnDefinitionsStale=!1}}static generateTemplateColumns(e){let t="";return e.forEach(r=>{t=`${t}${t===""?"":" "}1fr`}),t}noTabbingChanged(){this.$fastController.isConnected&&(this.noTabbing?this.setAttribute("tabIndex","-1"):this.setAttribute("tabIndex",this.contains(document.activeElement)||this===document.activeElement?"-1":"0"))}generateHeaderChanged(){this.$fastController.isConnected&&this.toggleGeneratedHeader()}gridTemplateColumnsChanged(){this.$fastController.isConnected&&this.updateRowIndexes()}rowsDataChanged(){this.columnDefinitions===null&&this.rowsData.length>0&&(this.columnDefinitions=si.generateColumns(this.rowsData[0])),this.$fastController.isConnected&&this.toggleGeneratedHeader()}columnDefinitionsChanged(){if(this.columnDefinitions===null){this.generatedGridTemplateColumns="";return}this.generatedGridTemplateColumns=si.generateTemplateColumns(this.columnDefinitions),this.$fastController.isConnected&&(this.columnDefinitionsStale=!0,this.queueRowIndexUpdate())}headerCellItemTemplateChanged(){this.$fastController.isConnected&&this.generatedHeader!==null&&(this.generatedHeader.headerCellItemTemplate=this.headerCellItemTemplate)}focusRowIndexChanged(){this.$fastController.isConnected&&this.queueFocusUpdate()}focusColumnIndexChanged(){this.$fastController.isConnected&&this.queueFocusUpdate()}connectedCallback(){super.connectedCallback(),this.rowItemTemplate===void 0&&(this.rowItemTemplate=this.defaultRowItemTemplate),this.rowsPlaceholder=document.createComment(""),this.appendChild(this.rowsPlaceholder),this.toggleGeneratedHeader(),this.rowsRepeatBehavior=new aa(e=>e.rowsData,e=>e.rowItemTemplate,{positioning:!0}).createBehavior(this.rowsPlaceholder),this.$fastController.addBehaviors([this.rowsRepeatBehavior]),this.addEventListener("row-focused",this.handleRowFocus),this.addEventListener(K2,this.handleFocus),this.addEventListener(ua,this.handleKeydown),this.addEventListener(la,this.handleFocusOut),this.observer=new MutationObserver(this.onChildListChange),this.observer.observe(this,{childList:!0}),this.noTabbing&&this.setAttribute("tabindex","-1"),ce.queueUpdate(this.queueRowIndexUpdate)}disconnectedCallback(){super.disconnectedCallback(),this.removeEventListener("row-focused",this.handleRowFocus),this.removeEventListener(K2,this.handleFocus),this.removeEventListener(ua,this.handleKeydown),this.removeEventListener(la,this.handleFocusOut),this.observer.disconnect(),this.rowsPlaceholder=null,this.generatedHeader=null}handleRowFocus(e){this.isUpdatingFocus=!0;let t=e.target;this.focusRowIndex=this.rowElements.indexOf(t),this.focusColumnIndex=t.focusColumnIndex,this.setAttribute("tabIndex","-1"),this.isUpdatingFocus=!1}handleFocus(e){this.focusOnCell(this.focusRowIndex,this.focusColumnIndex,!0)}handleFocusOut(e){(e.relatedTarget===null||!this.contains(e.relatedTarget))&&this.setAttribute("tabIndex",this.noTabbing?"-1":"0")}handleKeydown(e){if(e.defaultPrevented)return;let t,r=this.rowElements.length-1,n=this.offsetHeight+this.scrollTop,s=this.rowElements[r];switch(e.key){case Ot:e.preventDefault(),this.focusOnCell(this.focusRowIndex-1,this.focusColumnIndex,!0);break;case Dt:e.preventDefault(),this.focusOnCell(this.focusRowIndex+1,this.focusColumnIndex,!0);break;case CH:if(e.preventDefault(),this.rowElements.length===0){this.focusOnCell(0,0,!1);break}if(this.focusRowIndex===0){this.focusOnCell(0,this.focusColumnIndex,!1);return}for(t=this.focusRowIndex-1,t;t>=0;t--){let o=this.rowElements[t];if(o.offsetTop=r||s.offsetTop+s.offsetHeight<=n){this.focusOnCell(r,this.focusColumnIndex,!1);return}for(t=this.focusRowIndex+1,t;t<=r;t++){let o=this.rowElements[t];if(o.offsetTop+o.offsetHeight>n){let a=0;this.generateHeader===qp.sticky&&this.generatedHeader!==null&&(a=this.generatedHeader.clientHeight),this.scrollTop=o.offsetTop-a;break}}this.focusOnCell(t,this.focusColumnIndex,!1);break;case Ci:e.ctrlKey&&(e.preventDefault(),this.focusOnCell(0,0,!0));break;case Ii:e.ctrlKey&&this.columnDefinitions!==null&&(e.preventDefault(),this.focusOnCell(this.rowElements.length-1,this.columnDefinitions.length-1,!0));break}}queueFocusUpdate(){this.isUpdatingFocus&&(this.contains(document.activeElement)||this===document.activeElement)||this.pendingFocusUpdate===!1&&(this.pendingFocusUpdate=!0,ce.queueUpdate(()=>this.updateFocus()))}updateFocus(){this.pendingFocusUpdate=!1,this.focusOnCell(this.focusRowIndex,this.focusColumnIndex,!0)}toggleGeneratedHeader(){if(this.generatedHeader!==null&&(this.removeChild(this.generatedHeader),this.generatedHeader=null),this.generateHeader!==qp.none&&this.rowsData.length>0){let e=document.createElement(this.rowElementTag);this.generatedHeader=e,this.generatedHeader.columnDefinitions=this.columnDefinitions,this.generatedHeader.gridTemplateColumns=this.gridTemplateColumns,this.generatedHeader.rowType=this.generateHeader===qp.sticky?zc.stickyHeader:zc.header,(this.firstChild!==null||this.rowsPlaceholder!==null)&&this.insertBefore(e,this.firstChild!==null?this.firstChild:this.rowsPlaceholder);return}}};si.generateColumns=i=>Object.getOwnPropertyNames(i).map((e,t)=>({columnDataKey:e,gridColumn:`${t}`}));T([A({attribute:"no-tabbing",mode:"boolean"})],si.prototype,"noTabbing",void 0);T([A({attribute:"generate-header"})],si.prototype,"generateHeader",void 0);T([A({attribute:"grid-template-columns"})],si.prototype,"gridTemplateColumns",void 0);T([P],si.prototype,"rowsData",void 0);T([P],si.prototype,"columnDefinitions",void 0);T([P],si.prototype,"rowItemTemplate",void 0);T([P],si.prototype,"cellItemTemplate",void 0);T([P],si.prototype,"headerCellItemTemplate",void 0);T([P],si.prototype,"focusRowIndex",void 0);T([P],si.prototype,"focusColumnIndex",void 0);T([P],si.prototype,"defaultRowItemTemplate",void 0);T([P],si.prototype,"rowElementTag",void 0);T([P],si.prototype,"rowElements",void 0)});var C3e,I3e,cs,d3=b(()=>{Le();B();ye();Pe();t1();C3e=H` + +`,I3e=H` + +`,cs=class extends ee{constructor(){super(...arguments),this.cellType=da.default,this.rowData=null,this.columnDefinition=null,this.isActiveCell=!1,this.customCellView=null,this.updateCellStyle=()=>{this.style.gridColumn=this.gridColumn}}cellTypeChanged(){this.$fastController.isConnected&&this.updateCellView()}gridColumnChanged(){this.$fastController.isConnected&&this.updateCellStyle()}columnDefinitionChanged(e,t){this.$fastController.isConnected&&this.updateCellView()}connectedCallback(){var e;super.connectedCallback(),this.addEventListener(Y2,this.handleFocusin),this.addEventListener(la,this.handleFocusout),this.addEventListener(ua,this.handleKeydown),this.style.gridColumn=`${((e=this.columnDefinition)===null||e===void 0?void 0:e.gridColumn)===void 0?0:this.columnDefinition.gridColumn}`,this.updateCellView(),this.updateCellStyle()}disconnectedCallback(){super.disconnectedCallback(),this.removeEventListener(Y2,this.handleFocusin),this.removeEventListener(la,this.handleFocusout),this.removeEventListener(ua,this.handleKeydown),this.disconnectCellView()}handleFocusin(e){if(!this.isActiveCell){switch(this.isActiveCell=!0,this.cellType){case da.columnHeader:if(this.columnDefinition!==null&&this.columnDefinition.headerCellInternalFocusQueue!==!0&&typeof this.columnDefinition.headerCellFocusTargetCallback=="function"){let t=this.columnDefinition.headerCellFocusTargetCallback(this);t!==null&&t.focus()}break;default:if(this.columnDefinition!==null&&this.columnDefinition.cellInternalFocusQueue!==!0&&typeof this.columnDefinition.cellFocusTargetCallback=="function"){let t=this.columnDefinition.cellFocusTargetCallback(this);t!==null&&t.focus()}break}this.$emit("cell-focused",this)}}handleFocusout(e){this!==document.activeElement&&!this.contains(document.activeElement)&&(this.isActiveCell=!1)}handleKeydown(e){if(!(e.defaultPrevented||this.columnDefinition===null||this.cellType===da.default&&this.columnDefinition.cellInternalFocusQueue!==!0||this.cellType===da.columnHeader&&this.columnDefinition.headerCellInternalFocusQueue!==!0))switch(e.key){case ni:case wH:if(this.contains(document.activeElement)&&document.activeElement!==this)return;switch(this.cellType){case da.columnHeader:if(this.columnDefinition.headerCellFocusTargetCallback!==void 0){let t=this.columnDefinition.headerCellFocusTargetCallback(this);t!==null&&t.focus(),e.preventDefault()}break;default:if(this.columnDefinition.cellFocusTargetCallback!==void 0){let t=this.columnDefinition.cellFocusTargetCallback(this);t!==null&&t.focus(),e.preventDefault()}break}break;case cn:this.contains(document.activeElement)&&document.activeElement!==this&&(this.focus(),e.preventDefault());break}}updateCellView(){if(this.disconnectCellView(),this.columnDefinition!==null)switch(this.cellType){case da.columnHeader:this.columnDefinition.headerCellTemplate!==void 0?this.customCellView=this.columnDefinition.headerCellTemplate.render(this,this):this.customCellView=I3e.render(this,this);break;case void 0:case da.rowHeader:case da.default:this.columnDefinition.cellTemplate!==void 0?this.customCellView=this.columnDefinition.cellTemplate.render(this,this):this.customCellView=C3e.render(this,this);break}}disconnectCellView(){this.customCellView!==null&&(this.customCellView.dispose(),this.customCellView=null)}};T([A({attribute:"cell-type"})],cs.prototype,"cellType",void 0);T([A({attribute:"grid-column"})],cs.prototype,"gridColumn",void 0);T([P],cs.prototype,"rowData",void 0);T([P],cs.prototype,"columnDefinition",void 0)});function E3e(i){let e=i.tagFor(cs);return H` + <${e} + cell-type="${t=>t.isRowHeader?"rowheader":void 0}" + grid-column="${(t,r)=>r.index+1}" + :rowData="${(t,r)=>r.parent.rowData}" + :columnDefinition="${t=>t}" + > +`}function k3e(i){let e=i.tagFor(cs);return H` + <${e} + cell-type="columnheader" + grid-column="${(t,r)=>r.index+1}" + :columnDefinition="${t=>t}" + > +`}var vj,_j=b(()=>{B();d3();vj=(i,e)=>{let t=E3e(i),r=k3e(i);return H` + + `}});var yj,xj=b(()=>{B();yj=(i,e)=>H` + + `});var wj=b(()=>{gj();bj();_j();c3();xj();d3()});var GZe,Sj=b(()=>{B();GZe=H` +
+ + ${i=>i.dateFormatter.getMonth(i.month)} + + ${i=>i.dateFormatter.getYear(i.year)} +
+`});var Cj=b(()=>{pj();Sj();u3()});var Ij,Ej=b(()=>{B();Ij=(i,e)=>H` + +`});var Hp,kj=b(()=>{Pe();Hp=class extends ee{}});var Tj=b(()=>{Ej();kj()});var Aj=b(()=>{});var h3,i1,Mj=b(()=>{fn();Pe();h3=class extends ee{},i1=class extends ch(h3){constructor(){super(...arguments),this.proxy=document.createElement("input")}}});var El,Rj=b(()=>{Le();B();ye();Mj();El=class extends i1{constructor(){super(),this.initialValue="on",this.indeterminate=!1,this.keypressHandler=e=>{if(!this.readOnly)switch(e.key){case dn:this.indeterminate&&(this.indeterminate=!1),this.checked=!this.checked;break}},this.clickHandler=e=>{!this.disabled&&!this.readOnly&&(this.indeterminate&&(this.indeterminate=!1),this.checked=!this.checked)},this.proxy.setAttribute("type","checkbox")}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly)}};T([A({attribute:"readonly",mode:"boolean"})],El.prototype,"readOnly",void 0);T([P],El.prototype,"defaultSlottedNodes",void 0);T([P],El.prototype,"indeterminate",void 0)});var Dj=b(()=>{Aj();Rj()});function f3(i){return vo(i)&&(i.getAttribute("role")==="option"||i instanceof HTMLOptionElement)}var dr,kl,p3=b(()=>{Le();B();ye();Pe();Bp();Ht();Xi();dr=class extends ee{constructor(e,t,r,n){super(),this.defaultSelected=!1,this.dirtySelected=!1,this.selected=this.defaultSelected,this.dirtyValue=!1,e&&(this.textContent=e),t&&(this.initialValue=t),r&&(this.defaultSelected=r),n&&(this.selected=n),this.proxy=new Option(`${this.textContent}`,this.initialValue,this.defaultSelected,this.selected),this.proxy.disabled=this.disabled}checkedChanged(e,t){if(typeof t=="boolean"){this.ariaChecked=t?"true":"false";return}this.ariaChecked=null}contentChanged(e,t){this.proxy instanceof HTMLOptionElement&&(this.proxy.textContent=this.textContent),this.$emit("contentchange",null,{bubbles:!0})}defaultSelectedChanged(){this.dirtySelected||(this.selected=this.defaultSelected,this.proxy instanceof 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this.selectedIndex=this.options.indexOf(t),!0}focusAndScrollOptionIntoView(e=this.firstSelectedOption){this.contains(document.activeElement)&&e!==null&&(e.focus(),requestAnimationFrame(()=>{e.scrollIntoView({block:"nearest"})}))}focusinHandler(e){!this.shouldSkipFocus&&e.target===e.currentTarget&&(this.setSelectedOptions(),this.focusAndScrollOptionIntoView()),this.shouldSkipFocus=!1}getTypeaheadMatches(){let e=this.typeaheadBuffer.replace(/[.*+\-?^${}()|[\]\\]/g,"\\$&"),t=new RegExp(`^${e}`,"gi");return this.options.filter(r=>r.text.trim().match(t))}getSelectableIndex(e=this.selectedIndex,t){let r=e>t?-1:e!o&&!a.disabled&&l!o&&!a.disabled&&l>n?a:o,s);break}}return 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t.length===1&&this.handleTypeAhead(`${t}`),!0}}mousedownHandler(e){return this.shouldSkipFocus=!this.contains(document.activeElement),!0}multipleChanged(e,t){this.ariaMultiSelectable=t?"true":null}selectedIndexChanged(e,t){var r;if(!this.hasSelectableOptions){this.selectedIndex=-1;return}if(!((r=this.options[this.selectedIndex])===null||r===void 0)&&r.disabled&&typeof e=="number"){let n=this.getSelectableIndex(e,t),s=n>-1?n:e;this.selectedIndex=s,t===s&&this.selectedIndexChanged(t,s);return}this.setSelectedOptions()}selectedOptionsChanged(e,t){var r;let n=t.filter(Ut.slottedOptionFilter);(r=this.options)===null||r===void 0||r.forEach(s=>{let o=_e.getNotifier(s);o.unsubscribe(this,"selected"),s.selected=n.includes(s),o.subscribe(this,"selected")})}selectFirstOption(){var e,t;this.disabled||(this.selectedIndex=(t=(e=this.options)===null||e===void 0?void 0:e.findIndex(r=>!r.disabled))!==null&&t!==void 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r;r=r.parent?r.parent:r.target!==xo?Jt.getOrCreate(xo):null}while(r!==null);return null}get parent(){return Wp.get(this)||null}updateCSSTokenReflection(e,t){if(hr.isCSSDesignToken(t)){let r=this.parent,n=this.isReflecting(t);if(r){let s=r.get(t),o=e.get(t);s!==o&&!n?this.reflectToCSS(t):s===o&&n&&this.stopReflectToCSS(t)}else n||this.reflectToCSS(t)}}has(e){return this.assignedValues.has(e)}get(e){let t=this.store.get(e);if(t!==void 0)return t;let r=this.getRaw(e);if(r!==void 0)return this.hydrate(e,r),this.get(e)}getRaw(e){var t;return this.assignedValues.has(e)?this.assignedValues.get(e):(t=Jt.findClosestAssignedNode(e,this))===null||t===void 0?void 0:t.getRaw(e)}set(e,t){hr.isDerivedDesignTokenValue(this.assignedValues.get(e))&&this.tearDownBindingObserver(e),this.assignedValues.set(e,t),hr.isDerivedDesignTokenValue(t)?this.setupBindingObserver(e,t):this.store.set(e,t)}delete(e){this.assignedValues.delete(e),this.tearDownBindingObserver(e);let t=this.getRaw(e);t?this.hydrate(e,t):this.store.delete(e)}bind(){let e=Jt.findParent(this);e&&e.appendChild(this);for(let t of this.assignedValues.keys())t.notify(this.target)}unbind(){this.parent&&Wp.get(this).removeChild(this);for(let e of this.bindingObservers.keys())this.tearDownBindingObserver(e)}appendChild(e){e.parent&&Wp.get(e).removeChild(e);let t=this.children.filter(r=>e.contains(r));Wp.set(e,this),this.children.push(e),t.forEach(r=>e.appendChild(r)),_e.getNotifier(this.store).subscribe(e);for(let[r,n]of this.store.all())e.hydrate(r,this.bindingObservers.has(r)?this.getRaw(r):n),e.updateCSSTokenReflection(e.store,r)}removeChild(e){let t=this.children.indexOf(e);if(t!==-1&&this.children.splice(t,1),_e.getNotifier(this.store).unsubscribe(e),e.parent!==this)return!1;let r=Wp.delete(e);for(let[n]of this.store.all())e.hydrate(n,e.getRaw(n)),e.updateCSSTokenReflection(e.store,n);return r}contains(e){return Nj(this.target,e.target)}reflectToCSS(e){this.isReflecting(e)||(this.reflecting.add(e),Jt.cssCustomPropertyReflector.startReflection(e,this.target))}stopReflectToCSS(e){this.isReflecting(e)&&(this.reflecting.delete(e),Jt.cssCustomPropertyReflector.stopReflection(e,this.target))}isReflecting(e){return this.reflecting.has(e)}handleChange(e,t){let r=hr.getTokenById(t);r&&(this.hydrate(r,this.getRaw(r)),this.updateCSSTokenReflection(this.store,r))}hydrate(e,t){if(!this.has(e)){let r=this.bindingObservers.get(e);hr.isDerivedDesignTokenValue(t)?r?r.source!==t&&(this.tearDownBindingObserver(e),this.setupBindingObserver(e,t)):this.setupBindingObserver(e,t):(r&&this.tearDownBindingObserver(e),this.store.set(e,t))}}setupBindingObserver(e,t){let r=new C3(t,e,this);return this.bindingObservers.set(e,r),r}tearDownBindingObserver(e){return this.bindingObservers.has(e)?(this.bindingObservers.get(e).disconnect(),this.bindingObservers.delete(e),!0):!1}};Jt.cssCustomPropertyReflector=new 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t.get(Gp);{let r=new l1(i,t);return t.register($c.instance(Gp,r)),r}}});l1=class{constructor(e,t){this.owner=e,this.container=t,this.designTokensInitialized=!1,this.prefix="fast",this.shadowRootMode=void 0,this.disambiguate=()=>k3.definitionCallbackOnly,e!==null&&(e.$$designSystem$$=this)}withPrefix(e){return this.prefix=e,this}withShadowRootMode(e){return this.shadowRootMode=e,this}withElementDisambiguation(e){return this.disambiguate=e,this}withDesignTokenRoot(e){return this.designTokenRoot=e,this}register(...e){let t=this.container,r=[],n=this.disambiguate,s=this.shadowRootMode,o={elementPrefix:this.prefix,tryDefineElement(a,l,u){let c=R3e(a,l,u),{name:d,callback:h,baseClass:f}=c,{type:p}=c,g=d,v=T3.get(g),_=!0;for(;v;){let x=n(g,p,v);switch(x){case k3.ignoreDuplicate:return;case k3.definitionCallbackOnly:_=!1,v=void 0;break;default:g=x,v=T3.get(g);break}}_&&((a1.has(p)||p===ee)&&(p=class extends p{}),T3.set(g,p),a1.set(p,g),f&&a1.set(f,g)),r.push(new 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+ ${Xe(t=>t.modal,H` + + `)} + +
+`});var Gj,D3e,Kj,Kp,R3,O3e,Yj,L3e,$3e,P3e,F3e,N3e,B3e,Wj,z3e,q3e,Xj,H3e,D3,j3e,ph,u1=b(()=>{Gj=["input","select","textarea","a[href]","button","[tabindex]:not(slot)","audio[controls]","video[controls]",'[contenteditable]:not([contenteditable="false"])',"details>summary:first-of-type","details"],D3e=Gj.join(","),Kj=typeof Element>"u",Kp=Kj?function(){}:Element.prototype.matches||Element.prototype.msMatchesSelector||Element.prototype.webkitMatchesSelector,R3=!Kj&&Element.prototype.getRootNode?function(i){return i.getRootNode()}:function(i){return i.ownerDocument},O3e=function(e,t){return e.tabIndex<0&&(t||/^(AUDIO|VIDEO|DETAILS)$/.test(e.tagName)||e.isContentEditable)&&isNaN(parseInt(e.getAttribute("tabindex"),10))?0:e.tabIndex},Yj=function(e){return e.tagName==="INPUT"},L3e=function(e){return Yj(e)&&e.type==="hidden"},$3e=function(e){var t=e.tagName==="DETAILS"&&Array.prototype.slice.apply(e.children).some(function(r){return r.tagName==="SUMMARY"});return t},P3e=function(e,t){for(var r=0;rsummary:first-of-type"),o=s?e.parentElement:e;if(Kp.call(o,"details:not([open]) *"))return!0;var a=R3(e).host,l=a?.ownerDocument.contains(a)||e.ownerDocument.contains(e);if(!r||r==="full"){if(typeof n=="function"){for(var u=e;e;){var c=e.parentElement,d=R3(e);if(c&&!c.shadowRoot&&n(c)===!0)return Wj(e);e.assignedSlot?e=e.assignedSlot:!c&&d!==e.ownerDocument?e=d.host:e=c}e=u}if(l)return!e.getClientRects().length}else if(r==="non-zero-area")return Wj(e);return!1},q3e=function(e){if(/^(INPUT|BUTTON|SELECT|TEXTAREA)$/.test(e.tagName))for(var t=e.parentElement;t;){if(t.tagName==="FIELDSET"&&t.disabled){for(var r=0;r{Le();B();ye();u1();Pe();Tr=class extends ee{constructor(){super(...arguments),this.modal=!0,this.hidden=!1,this.trapFocus=!0,this.trapFocusChanged=()=>{this.$fastController.isConnected&&this.updateTrapFocus()},this.isTrappingFocus=!1,this.handleDocumentKeydown=e=>{if(!e.defaultPrevented&&!this.hidden)switch(e.key){case cn:this.dismiss(),e.preventDefault();break;case Cl:this.handleTabKeyDown(e);break}},this.handleDocumentFocus=e=>{!e.defaultPrevented&&this.shouldForceFocus(e.target)&&(this.focusFirstElement(),e.preventDefault())},this.handleTabKeyDown=e=>{if(!this.trapFocus||this.hidden)return;let t=this.getTabQueueBounds();if(t.length!==0){if(t.length===1){t[0].focus(),e.preventDefault();return}e.shiftKey&&e.target===t[0]?(t[t.length-1].focus(),e.preventDefault()):!e.shiftKey&&e.target===t[t.length-1]&&(t[0].focus(),e.preventDefault())}},this.getTabQueueBounds=()=>{let e=[];return Tr.reduceTabbableItems(e,this)},this.focusFirstElement=()=>{let e=this.getTabQueueBounds();e.length>0?e[0].focus():this.dialog instanceof HTMLElement&&this.dialog.focus()},this.shouldForceFocus=e=>this.isTrappingFocus&&!this.contains(e),this.shouldTrapFocus=()=>this.trapFocus&&!this.hidden,this.updateTrapFocus=e=>{let t=e===void 0?this.shouldTrapFocus():e;t&&!this.isTrappingFocus?(this.isTrappingFocus=!0,document.addEventListener("focusin",this.handleDocumentFocus),ce.queueUpdate(()=>{this.shouldForceFocus(document.activeElement)&&this.focusFirstElement()})):!t&&this.isTrappingFocus&&(this.isTrappingFocus=!1,document.removeEventListener("focusin",this.handleDocumentFocus))}}dismiss(){this.$emit("dismiss"),this.$emit("cancel")}show(){this.hidden=!1}hide(){this.hidden=!0,this.$emit("close")}connectedCallback(){super.connectedCallback(),document.addEventListener("keydown",this.handleDocumentKeydown),this.notifier=_e.getNotifier(this),this.notifier.subscribe(this,"hidden"),this.updateTrapFocus()}disconnectedCallback(){super.disconnectedCallback(),document.removeEventListener("keydown",this.handleDocumentKeydown),this.updateTrapFocus(!1),this.notifier.unsubscribe(this,"hidden")}handleChange(e,t){switch(t){case"hidden":this.updateTrapFocus();break;default:break}}static reduceTabbableItems(e,t){return t.getAttribute("tabindex")==="-1"?e:D3(t)||Tr.isFocusableFastElement(t)&&Tr.hasTabbableShadow(t)?(e.push(t),e):t.childElementCount?e.concat(Array.from(t.children).reduce(Tr.reduceTabbableItems,[])):e}static isFocusableFastElement(e){var t,r;return!!(!((r=(t=e.$fastController)===null||t===void 0?void 0:t.definition.shadowOptions)===null||r===void 0)&&r.delegatesFocus)}static hasTabbableShadow(e){var t,r;return Array.from((r=(t=e.shadowRoot)===null||t===void 0?void 0:t.querySelectorAll("*"))!==null&&r!==void 0?r:[]).some(n=>D3(n))}};T([A({mode:"boolean"})],Tr.prototype,"modal",void 0);T([A({mode:"boolean"})],Tr.prototype,"hidden",void 0);T([A({attribute:"trap-focus",mode:"boolean"})],Tr.prototype,"trapFocus",void 0);T([A({attribute:"aria-describedby"})],Tr.prototype,"ariaDescribedby",void 0);T([A({attribute:"aria-labelledby"})],Tr.prototype,"ariaLabelledby",void 0);T([A({attribute:"aria-label"})],Tr.prototype,"ariaLabel",void 0)});var Zj=b(()=>{Uj();Jj()});var Qj,eV=b(()=>{B();Qj=(i,e)=>H` +
+ + + ${t=>t.title} + + +
+
+`});var Hc,tV=b(()=>{Le();B();Pe();Hc=class extends ee{connectedCallback(){super.connectedCallback(),this.setup()}disconnectedCallback(){super.disconnectedCallback(),this.details.removeEventListener("toggle",this.onToggle)}show(){this.details.open=!0}hide(){this.details.open=!1}toggle(){this.details.open=!this.details.open}setup(){this.onToggle=this.onToggle.bind(this),this.details.addEventListener("toggle",this.onToggle),this.expanded&&this.show()}onToggle(){this.expanded=this.details.open,this.$emit("toggle")}};T([A({mode:"boolean"})],Hc.prototype,"expanded",void 0);T([A],Hc.prototype,"title",void 0)});var iV=b(()=>{eV();tV()});var rV,nV=b(()=>{B();rV=(i,e)=>H` + +`});var sV,oV=b(()=>{sV={separator:"separator",presentation:"presentation"}});var jc,aV=b(()=>{Le();B();ye();Pe();oV();jc=class extends ee{constructor(){super(...arguments),this.role=sV.separator,this.orientation=it.horizontal}};T([A],jc.prototype,"role",void 0);T([A],jc.prototype,"orientation",void 0)});var lV=b(()=>{nV();aV()});var uV,cV=b(()=>{uV={next:"next",previous:"previous"}});var dV=b(()=>{});var Yp,hV=b(()=>{Le();B();Pe();cV();Yp=class extends ee{constructor(){super(...arguments),this.hiddenFromAT=!0,this.direction=uV.next}keyupHandler(e){if(!this.hiddenFromAT){let t=e.key;(t==="Enter"||t==="Space")&&this.$emit("click",e),t==="Escape"&&this.blur()}}};T([A({mode:"boolean"})],Yp.prototype,"disabled",void 0);T([A({attribute:"aria-hidden",converter:Oc})],Yp.prototype,"hiddenFromAT",void 0);T([A],Yp.prototype,"direction",void 0)});var fV=b(()=>{dV();hV()});var pV=b(()=>{fn()});var mV=b(()=>{Pe()});var gV,bV=b(()=>{B();Ht();gV=(i,e)=>H` + +`});var vV=b(()=>{p3();bV()});var pn,c1=b(()=>{Le();B();ye();Tl();pn=class extends Ut{constructor(){super(...arguments),this.activeIndex=-1,this.rangeStartIndex=-1}get activeOption(){return this.options[this.activeIndex]}get checkedOptions(){var e;return(e=this.options)===null||e===void 0?void 0:e.filter(t=>t.checked)}get firstSelectedOptionIndex(){return this.options.indexOf(this.firstSelectedOption)}activeIndexChanged(e,t){var r,n;this.ariaActiveDescendant=(n=(r=this.options[t])===null||r===void 0?void 0:r.id)!==null&&n!==void 0?n:"",this.focusAndScrollOptionIntoView()}checkActiveIndex(){if(!this.multiple)return;let e=this.activeOption;e&&(e.checked=!0)}checkFirstOption(e=!1){e?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex+1),this.options.forEach((t,r)=>{t.checked=Np(r,this.rangeStartIndex)})):this.uncheckAllOptions(),this.activeIndex=0,this.checkActiveIndex()}checkLastOption(e=!1){e?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex),this.options.forEach((t,r)=>{t.checked=Np(r,this.rangeStartIndex,this.options.length)})):this.uncheckAllOptions(),this.activeIndex=this.options.length-1,this.checkActiveIndex()}connectedCallback(){super.connectedCallback(),this.addEventListener("focusout",this.focusoutHandler)}disconnectedCallback(){this.removeEventListener("focusout",this.focusoutHandler),super.disconnectedCallback()}checkNextOption(e=!1){e?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex),this.options.forEach((t,r)=>{t.checked=Np(r,this.rangeStartIndex,this.activeIndex+1)})):this.uncheckAllOptions(),this.activeIndex+=this.activeIndex{t.checked=Np(r,this.activeIndex,this.rangeStartIndex)})):this.uncheckAllOptions(),this.activeIndex-=this.activeIndex>0?1:0,this.checkActiveIndex()}clickHandler(e){var t;if(!this.multiple)return super.clickHandler(e);let r=(t=e.target)===null||t===void 0?void 0:t.closest("[role=option]");if(!(!r||r.disabled))return this.uncheckAllOptions(),this.activeIndex=this.options.indexOf(r),this.checkActiveIndex(),this.toggleSelectedForAllCheckedOptions(),!0}focusAndScrollOptionIntoView(){super.focusAndScrollOptionIntoView(this.activeOption)}focusinHandler(e){if(!this.multiple)return super.focusinHandler(e);!this.shouldSkipFocus&&e.target===e.currentTarget&&(this.uncheckAllOptions(),this.activeIndex===-1&&(this.activeIndex=this.firstSelectedOptionIndex!==-1?this.firstSelectedOptionIndex:0),this.checkActiveIndex(),this.setSelectedOptions(),this.focusAndScrollOptionIntoView()),this.shouldSkipFocus=!1}focusoutHandler(e){this.multiple&&this.uncheckAllOptions()}keydownHandler(e){if(!this.multiple)return super.keydownHandler(e);if(this.disabled)return!0;let{key:t,shiftKey:r}=e;switch(this.shouldSkipFocus=!1,t){case Ci:{this.checkFirstOption(r);return}case 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ee{contentsTemplateChanged(){this.$fastController.isConnected&&this.updateView()}connectedCallback(){super.connectedCallback(),this.updateView()}disconnectedCallback(){super.disconnectedCallback(),this.disconnectView()}handleClick(e){return e.defaultPrevented||this.handleInvoked(),!1}handleInvoked(){this.$emit("pickeroptioninvoked")}updateView(){var e,t;this.disconnectView(),this.customView=(t=(e=this.contentsTemplate)===null||e===void 0?void 0:e.render(this,this))!==null&&t!==void 0?t:V3e.render(this,this)}disconnectView(){var e;(e=this.customView)===null||e===void 0||e.dispose(),this.customView=void 0}};T([A({attribute:"value"})],Bs.prototype,"value",void 0);T([P],Bs.prototype,"contentsTemplate",void 0)});var Ml,L3=b(()=>{Pe();Ml=class extends ee{}});var U3e,zs,h1=b(()=>{Le();B();ye();Pe();U3e=H` + +`,zs=class extends ee{contentsTemplateChanged(){this.$fastController.isConnected&&this.updateView()}connectedCallback(){super.connectedCallback(),this.updateView()}disconnectedCallback(){this.disconnectView(),super.disconnectedCallback()}handleKeyDown(e){return e.defaultPrevented?!1:e.key===ni?(this.handleInvoke(),!1):!0}handleClick(e){return e.defaultPrevented||this.handleInvoke(),!1}handleInvoke(){this.$emit("pickeriteminvoked")}updateView(){var e,t;this.disconnectView(),this.customView=(t=(e=this.contentsTemplate)===null||e===void 0?void 0:e.render(this,this))!==null&&t!==void 0?t:U3e.render(this,this)}disconnectView(){var e;(e=this.customView)===null||e===void 0||e.dispose(),this.customView=void 0}};T([A({attribute:"value"})],zs.prototype,"value",void 0);T([P],zs.prototype,"contentsTemplate",void 0)});function W3e(i){let e=i.tagFor(zs);return H` + <${e} + value="${t=>t}" + :contentsTemplate="${(t,r)=>r.parent.listItemContentsTemplate}" + > + + `}function G3e(i){let e=i.tagFor(Bs);return H` + <${e} + value="${t=>t}" + :contentsTemplate="${(t,r)=>r.parent.menuOptionContentsTemplate}" + > + + `}var wV,SV=b(()=>{B();zp();O3();d1();L3();h1();wV=(i,e)=>{let t=i.tagFor(We),r=i.tagFor(Ns),n=i.tagFor(Ml),s=i.tagFor(Ml),o=W3e(i),a=G3e(i);return H` + + `}});var $3,f1,CV=b(()=>{fn();Pe();$3=class extends ee{},f1=class extends vi($3){constructor(){super(...arguments),this.proxy=document.createElement("input")}}});var K3e,rt,IV=b(()=>{Le();B();ye();o3();d1();h1();CV();K3e=H` + +`,rt=class extends f1{constructor(){super(...arguments),this.selection="",this.filterSelected=!0,this.filterQuery=!0,this.noSuggestionsText="No suggestions available",this.suggestionsAvailableText="Suggestions available",this.loadingText="Loading suggestions",this.menuPlacement="bottom-fill",this.showLoading=!1,this.optionsList=[],this.filteredOptionsList=[],this.flyoutOpen=!1,this.menuFocusIndex=-1,this.showNoOptions=!1,this.selectedItems=[],this.inputElementView=null,this.handleTextInput=e=>{this.query=this.inputElement.value},this.handleInputClick=e=>{e.preventDefault(),this.toggleFlyout(!0)},this.setRegionProps=()=>{if(this.flyoutOpen){if(this.region===null||this.region===void 0){ce.queueUpdate(this.setRegionProps);return}this.region.anchorElement=this.inputElement}},this.configLookup={top:i3,bottom:r3,tallest:n3,"top-fill":qH,"bottom-fill":s3,"tallest-fill":HH}}selectionChanged(){this.$fastController.isConnected&&(this.handleSelectionChange(),this.proxy instanceof HTMLInputElement&&(this.proxy.value=this.selection,this.validate()))}optionsChanged(){this.optionsList=this.options.split(",").map(e=>e.trim()).filter(e=>e!=="")}menuPlacementChanged(){this.$fastController.isConnected&&this.updateMenuConfig()}showLoadingChanged(){this.$fastController.isConnected&&ce.queueUpdate(()=>{this.setFocusedOption(0)})}listItemTemplateChanged(){this.updateListItemTemplate()}defaultListItemTemplateChanged(){this.updateListItemTemplate()}menuOptionTemplateChanged(){this.updateOptionTemplate()}defaultMenuOptionTemplateChanged(){this.updateOptionTemplate()}optionsListChanged(){this.updateFilteredOptions()}queryChanged(){this.$fastController.isConnected&&(this.inputElement.value!==this.query&&(this.inputElement.value=this.query),this.updateFilteredOptions(),this.$emit("querychange",{bubbles:!1}))}filteredOptionsListChanged(){this.$fastController.isConnected&&(this.showNoOptions=this.filteredOptionsList.length===0&&this.menuElement.querySelectorAll('[role="listitem"]').length===0,this.setFocusedOption(this.showNoOptions?-1:0))}flyoutOpenChanged(){this.flyoutOpen?(ce.queueUpdate(this.setRegionProps),this.$emit("menuopening",{bubbles:!1})):this.$emit("menuclosing",{bubbles:!1})}showNoOptionsChanged(){this.$fastController.isConnected&&ce.queueUpdate(()=>{this.setFocusedOption(0)})}connectedCallback(){super.connectedCallback(),this.listElement=document.createElement(this.selectedListTag),this.appendChild(this.listElement),this.itemsPlaceholderElement=document.createComment(""),this.listElement.append(this.itemsPlaceholderElement),this.inputElementView=K3e.render(this,this.listElement);let e=this.menuTag.toUpperCase();this.menuElement=Array.from(this.children).find(t=>t.tagName===e),this.menuElement===void 0&&(this.menuElement=document.createElement(this.menuTag),this.appendChild(this.menuElement)),this.menuElement.id===""&&(this.menuElement.id=Ln("listbox-")),this.menuId=this.menuElement.id,this.optionsPlaceholder=document.createComment(""),this.menuElement.append(this.optionsPlaceholder),this.updateMenuConfig(),ce.queueUpdate(()=>this.initialize())}disconnectedCallback(){super.disconnectedCallback(),this.toggleFlyout(!1),this.inputElement.removeEventListener("input",this.handleTextInput),this.inputElement.removeEventListener("click",this.handleInputClick),this.inputElementView!==null&&(this.inputElementView.dispose(),this.inputElementView=null)}focus(){this.inputElement.focus()}initialize(){this.updateListItemTemplate(),this.updateOptionTemplate(),this.itemsRepeatBehavior=new aa(e=>e.selectedItems,e=>e.activeListItemTemplate,{positioning:!0}).createBehavior(this.itemsPlaceholderElement),this.inputElement.addEventListener("input",this.handleTextInput),this.inputElement.addEventListener("click",this.handleInputClick),this.$fastController.addBehaviors([this.itemsRepeatBehavior]),this.menuElement.suggestionsAvailableText=this.suggestionsAvailableText,this.menuElement.addEventListener("optionsupdated",this.handleMenuOptionsUpdated),this.optionsRepeatBehavior=new aa(e=>e.filteredOptionsList,e=>e.activeMenuOptionTemplate,{positioning:!0}).createBehavior(this.optionsPlaceholder),this.$fastController.addBehaviors([this.optionsRepeatBehavior]),this.handleSelectionChange()}toggleFlyout(e){if(this.flyoutOpen!==e){if(e&&document.activeElement===this.inputElement){this.flyoutOpen=e,ce.queueUpdate(()=>{this.menuElement!==void 0?this.setFocusedOption(0):this.disableMenu()});return}this.flyoutOpen=!1,this.disableMenu()}}handleMenuOptionsUpdated(e){e.preventDefault(),this.flyoutOpen&&this.setFocusedOption(0)}handleKeyDown(e){if(e.defaultPrevented)return!1;switch(e.key){case Dt:{if(!this.flyoutOpen)this.toggleFlyout(!0);else{let t=this.flyoutOpen?Math.min(this.menuFocusIndex+1,this.menuElement.optionElements.length-1):0;this.setFocusedOption(t)}return!1}case Ot:{if(!this.flyoutOpen)this.toggleFlyout(!0);else{let t=this.flyoutOpen?Math.max(this.menuFocusIndex-1,0):0;this.setFocusedOption(t)}return!1}case cn:return this.toggleFlyout(!1),!1;case ni:return this.menuFocusIndex!==-1&&this.menuElement.optionElements.length>this.menuFocusIndex&&this.menuElement.optionElements[this.menuFocusIndex].click(),!1;case kr:return document.activeElement!==this.inputElement?(this.incrementFocusedItem(1),!1):!0;case Er:return this.inputElement.selectionStart===0?(this.incrementFocusedItem(-1),!1):!0;case EH:case IH:{if(document.activeElement===null)return!0;if(document.activeElement===this.inputElement)return this.inputElement.selectionStart===0?(this.selection=this.selectedItems.slice(0,this.selectedItems.length-1).toString(),this.toggleFlyout(!1),!1):!0;let t=Array.from(this.listElement.children),r=t.indexOf(document.activeElement);return r>-1?(this.selection=this.selectedItems.splice(r,1).toString(),ce.queueUpdate(()=>{t[Math.min(t.length,r)].focus()}),!1):!0}}return this.toggleFlyout(!0),!0}handleFocusIn(e){return!1}handleFocusOut(e){return(this.menuElement===void 0||!this.menuElement.contains(e.relatedTarget))&&this.toggleFlyout(!1),!1}handleSelectionChange(){this.selectedItems.toString()!==this.selection&&(this.selectedItems=this.selection===""?[]:this.selection.split(","),this.updateFilteredOptions(),ce.queueUpdate(()=>{this.checkMaxItems()}),this.$emit("selectionchange",{bubbles:!1}))}handleRegionLoaded(e){ce.queueUpdate(()=>{this.setFocusedOption(0),this.$emit("menuloaded",{bubbles:!1})})}checkMaxItems(){if(this.inputElement!==void 0)if(this.maxSelected!==void 0&&this.selectedItems.length>=this.maxSelected){if(document.activeElement===this.inputElement){let e=Array.from(this.listElement.querySelectorAll("[role='listitem']"));e[e.length-1].focus()}this.inputElement.hidden=!0}else this.inputElement.hidden=!1}handleItemInvoke(e){if(e.defaultPrevented)return!1;if(e.target instanceof zs){let r=Array.from(this.listElement.querySelectorAll("[role='listitem']")).indexOf(e.target);if(r!==-1){let n=this.selectedItems.slice();n.splice(r,1),this.selection=n.toString(),ce.queueUpdate(()=>this.incrementFocusedItem(0))}return!1}return!0}handleOptionInvoke(e){return e.defaultPrevented?!1:e.target instanceof Bs?(e.target.value!==void 0&&(this.selection=`${this.selection}${this.selection===""?"":","}${e.target.value}`),this.inputElement.value="",this.query="",this.inputElement.focus(),this.toggleFlyout(!1),!1):!0}incrementFocusedItem(e){if(this.selectedItems.length===0){this.inputElement.focus();return}let t=Array.from(this.listElement.querySelectorAll("[role='listitem']"));if(document.activeElement!==null){let r=t.indexOf(document.activeElement);r===-1&&(r=t.length);let n=Math.min(t.length,Math.max(0,r+e));n===t.length?this.maxSelected!==void 0&&this.selectedItems.length>=this.maxSelected?t[n-1].focus():this.inputElement.focus():t[n].focus()}}disableMenu(){var e,t,r;this.menuFocusIndex=-1,this.menuFocusOptionId=void 0,(e=this.inputElement)===null||e===void 0||e.removeAttribute("aria-activedescendant"),(t=this.inputElement)===null||t===void 0||t.removeAttribute("aria-owns"),(r=this.inputElement)===null||r===void 0||r.removeAttribute("aria-expanded")}setFocusedOption(e){if(!this.flyoutOpen||e===-1||this.showNoOptions||this.showLoading){this.disableMenu();return}if(this.menuElement.optionElements.length===0)return;this.menuElement.optionElements.forEach(r=>{r.setAttribute("aria-selected","false")}),this.menuFocusIndex=e,this.menuFocusIndex>this.menuElement.optionElements.length-1&&(this.menuFocusIndex=this.menuElement.optionElements.length-1),this.menuFocusOptionId=this.menuElement.optionElements[this.menuFocusIndex].id,this.inputElement.setAttribute("aria-owns",this.menuId),this.inputElement.setAttribute("aria-expanded","true"),this.inputElement.setAttribute("aria-activedescendant",this.menuFocusOptionId);let t=this.menuElement.optionElements[this.menuFocusIndex];t.setAttribute("aria-selected","true"),this.menuElement.scrollTo(0,t.offsetTop)}updateListItemTemplate(){var e;this.activeListItemTemplate=(e=this.listItemTemplate)!==null&&e!==void 0?e:this.defaultListItemTemplate}updateOptionTemplate(){var e;this.activeMenuOptionTemplate=(e=this.menuOptionTemplate)!==null&&e!==void 0?e:this.defaultMenuOptionTemplate}updateFilteredOptions(){this.filteredOptionsList=this.optionsList.slice(0),this.filterSelected&&(this.filteredOptionsList=this.filteredOptionsList.filter(e=>this.selectedItems.indexOf(e)===-1)),this.filterQuery&&this.query!==""&&this.query!==void 0&&(this.filteredOptionsList=this.filteredOptionsList.filter(e=>e.indexOf(this.query)!==-1))}updateMenuConfig(){let e=this.configLookup[this.menuPlacement];e===null&&(e=s3),this.menuConfig=Object.assign(Object.assign({},e),{autoUpdateMode:"auto",fixedPlacement:!0,horizontalViewportLock:!1,verticalViewportLock:!1})}};T([A({attribute:"selection"})],rt.prototype,"selection",void 0);T([A({attribute:"options"})],rt.prototype,"options",void 0);T([A({attribute:"filter-selected",mode:"boolean"})],rt.prototype,"filterSelected",void 0);T([A({attribute:"filter-query",mode:"boolean"})],rt.prototype,"filterQuery",void 0);T([A({attribute:"max-selected"})],rt.prototype,"maxSelected",void 0);T([A({attribute:"no-suggestions-text"})],rt.prototype,"noSuggestionsText",void 0);T([A({attribute:"suggestions-available-text"})],rt.prototype,"suggestionsAvailableText",void 0);T([A({attribute:"loading-text"})],rt.prototype,"loadingText",void 0);T([A({attribute:"label"})],rt.prototype,"label",void 0);T([A({attribute:"labelledby"})],rt.prototype,"labelledBy",void 0);T([A({attribute:"placeholder"})],rt.prototype,"placeholder",void 0);T([A({attribute:"menu-placement"})],rt.prototype,"menuPlacement",void 0);T([P],rt.prototype,"showLoading",void 0);T([P],rt.prototype,"listItemTemplate",void 0);T([P],rt.prototype,"defaultListItemTemplate",void 0);T([P],rt.prototype,"activeListItemTemplate",void 0);T([P],rt.prototype,"menuOptionTemplate",void 0);T([P],rt.prototype,"defaultMenuOptionTemplate",void 0);T([P],rt.prototype,"activeMenuOptionTemplate",void 0);T([P],rt.prototype,"listItemContentsTemplate",void 0);T([P],rt.prototype,"menuOptionContentsTemplate",void 0);T([P],rt.prototype,"optionsList",void 0);T([P],rt.prototype,"query",void 0);T([P],rt.prototype,"filteredOptionsList",void 0);T([P],rt.prototype,"flyoutOpen",void 0);T([P],rt.prototype,"menuId",void 0);T([P],rt.prototype,"selectedListTag",void 0);T([P],rt.prototype,"menuTag",void 0);T([P],rt.prototype,"menuFocusIndex",void 0);T([P],rt.prototype,"menuFocusOptionId",void 0);T([P],rt.prototype,"showNoOptions",void 0);T([P],rt.prototype,"menuConfig",void 0);T([P],rt.prototype,"selectedItems",void 0)});var EV,kV=b(()=>{B();EV=(i,e)=>H` + + `});var TV,AV=b(()=>{B();TV=(i,e)=>H` + + `});var MV,RV=b(()=>{B();MV=(i,e)=>H` + + `});var DV,OV=b(()=>{B();DV=(i,e)=>H` + + `});var LV=b(()=>{SV();IV();kV();O3();AV();d1();RV();L3();OV();h1()});var Ji,P3,$V=b(()=>{Ji={menuitem:"menuitem",menuitemcheckbox:"menuitemcheckbox",menuitemradio:"menuitemradio"},P3={[Ji.menuitem]:"menuitem",[Ji.menuitemcheckbox]:"menuitemcheckbox",[Ji.menuitemradio]:"menuitemradio"}});var fr,F3=b(()=>{Le();B();ye();Pe();Ht();Il();Xi();$V();fr=class extends ee{constructor(){super(...arguments),this.role=Ji.menuitem,this.hasSubmenu=!1,this.currentDirection=je.ltr,this.focusSubmenuOnLoad=!1,this.handleMenuItemKeyDown=e=>{if(e.defaultPrevented)return!1;switch(e.key){case ni:case dn:return this.invoke(),!1;case kr:return this.expandAndFocus(),!1;case Er:if(this.expanded)return this.expanded=!1,this.focus(),!1}return!0},this.handleMenuItemClick=e=>(e.defaultPrevented||this.disabled||this.invoke(),!1),this.submenuLoaded=()=>{this.focusSubmenuOnLoad&&(this.focusSubmenuOnLoad=!1,this.hasSubmenu&&(this.submenu.focus(),this.setAttribute("tabindex","-1")))},this.handleMouseOver=e=>(this.disabled||!this.hasSubmenu||this.expanded||(this.expanded=!0),!1),this.handleMouseOut=e=>(!this.expanded||this.contains(document.activeElement)||(this.expanded=!1),!1),this.expandAndFocus=()=>{this.hasSubmenu&&(this.focusSubmenuOnLoad=!0,this.expanded=!0)},this.invoke=()=>{if(!this.disabled)switch(this.role){case Ji.menuitemcheckbox:this.checked=!this.checked;break;case Ji.menuitem:this.updateSubmenu(),this.hasSubmenu?this.expandAndFocus():this.$emit("change");break;case Ji.menuitemradio:this.checked||(this.checked=!0);break}},this.updateSubmenu=()=>{this.submenu=this.domChildren().find(e=>e.getAttribute("role")==="menu"),this.hasSubmenu=this.submenu!==void 0}}expandedChanged(e){if(this.$fastController.isConnected){if(this.submenu===void 0)return;this.expanded===!1?this.submenu.collapseExpandedItem():this.currentDirection=Yr(this),this.$emit("expanded-change",this,{bubbles:!1})}}checkedChanged(e,t){this.$fastController.isConnected&&this.$emit("change")}connectedCallback(){super.connectedCallback(),ce.queueUpdate(()=>{this.updateSubmenu()}),this.startColumnCount||(this.startColumnCount=1),this.observer=new MutationObserver(this.updateSubmenu)}disconnectedCallback(){super.disconnectedCallback(),this.submenu=void 0,this.observer!==void 0&&(this.observer.disconnect(),this.observer=void 0)}domChildren(){return Array.from(this.children).filter(e=>!e.hasAttribute("hidden"))}};T([A({mode:"boolean"})],fr.prototype,"disabled",void 0);T([A({mode:"boolean"})],fr.prototype,"expanded",void 0);T([P],fr.prototype,"startColumnCount",void 0);T([A],fr.prototype,"role",void 0);T([A({mode:"boolean"})],fr.prototype,"checked",void 0);T([P],fr.prototype,"submenuRegion",void 0);T([P],fr.prototype,"hasSubmenu",void 0);T([P],fr.prototype,"currentDirection",void 0);T([P],fr.prototype,"submenu",void 0);He(fr,ht)});var PV,FV=b(()=>{B();zp();Ht();F3();PV=(i,e)=>H` + +`});var N3=b(()=>{FV();F3()});var NV,BV=b(()=>{B();NV=(i,e)=>H` + +`});var fa,zV=b(()=>{Le();B();ye();N3();Pe();fa=class extends ee{constructor(){super(...arguments),this.expandedItem=null,this.focusIndex=-1,this.isNestedMenu=()=>this.parentElement!==null&&vo(this.parentElement)&&this.parentElement.getAttribute("role")==="menuitem",this.handleFocusOut=e=>{if(!this.contains(e.relatedTarget)&&this.menuItems!==void 0){this.collapseExpandedItem();let t=this.menuItems.findIndex(this.isFocusableElement);this.menuItems[this.focusIndex].setAttribute("tabindex","-1"),this.menuItems[t].setAttribute("tabindex","0"),this.focusIndex=t}},this.handleItemFocus=e=>{let t=e.target;this.menuItems!==void 0&&t!==this.menuItems[this.focusIndex]&&(this.menuItems[this.focusIndex].setAttribute("tabindex","-1"),this.focusIndex=this.menuItems.indexOf(t),t.setAttribute("tabindex","0"))},this.handleExpandedChanged=e=>{if(e.defaultPrevented||e.target===null||this.menuItems===void 0||this.menuItems.indexOf(e.target)<0)return;e.preventDefault();let t=e.target;if(this.expandedItem!==null&&t===this.expandedItem&&t.expanded===!1){this.expandedItem=null;return}t.expanded&&(this.expandedItem!==null&&this.expandedItem!==t&&(this.expandedItem.expanded=!1),this.menuItems[this.focusIndex].setAttribute("tabindex","-1"),this.expandedItem=t,this.focusIndex=this.menuItems.indexOf(t),t.setAttribute("tabindex","0"))},this.removeItemListeners=()=>{this.menuItems!==void 0&&this.menuItems.forEach(e=>{e.removeEventListener("expanded-change",this.handleExpandedChanged),e.removeEventListener("focus",this.handleItemFocus)})},this.setItems=()=>{let e=this.domChildren();this.removeItemListeners(),this.menuItems=e;let t=this.menuItems.filter(this.isMenuItemElement);t.length&&(this.focusIndex=0);function r(s){let o=s.getAttribute("role"),a=s.querySelector("[slot=start]");return o!==Ji.menuitem&&a===null||o===Ji.menuitem&&a!==null?1:o!==Ji.menuitem&&a!==null?2:0}let n=t.reduce((s,o)=>{let a=r(o);return s>a?s:a},0);t.forEach((s,o)=>{s.setAttribute("tabindex",o===0?"0":"-1"),s.addEventListener("expanded-change",this.handleExpandedChanged),s.addEventListener("focus",this.handleItemFocus),(s instanceof fr||"startColumnCount"in s)&&(s.startColumnCount=n)})},this.changeHandler=e=>{if(this.menuItems===void 0)return;let t=e.target,r=this.menuItems.indexOf(t);if(r!==-1&&t.role==="menuitemradio"&&t.checked===!0){for(let s=r-1;s>=0;--s){let o=this.menuItems[s],a=o.getAttribute("role");if(a===Ji.menuitemradio&&(o.checked=!1),a==="separator")break}let n=this.menuItems.length-1;for(let s=r+1;s<=n;++s){let o=this.menuItems[s],a=o.getAttribute("role");if(a===Ji.menuitemradio&&(o.checked=!1),a==="separator")break}}},this.isMenuItemElement=e=>vo(e)&&fa.focusableElementRoles.hasOwnProperty(e.getAttribute("role")),this.isFocusableElement=e=>this.isMenuItemElement(e)}itemsChanged(e,t){this.$fastController.isConnected&&this.menuItems!==void 0&&this.setItems()}connectedCallback(){super.connectedCallback(),ce.queueUpdate(()=>{this.setItems()}),this.addEventListener("change",this.changeHandler)}disconnectedCallback(){super.disconnectedCallback(),this.removeItemListeners(),this.menuItems=void 0,this.removeEventListener("change",this.changeHandler)}focus(){this.setFocus(0,1)}collapseExpandedItem(){this.expandedItem!==null&&(this.expandedItem.expanded=!1,this.expandedItem=null)}handleMenuKeyDown(e){if(!(e.defaultPrevented||this.menuItems===void 0))switch(e.key){case Dt:this.setFocus(this.focusIndex+1,1);return;case Ot:this.setFocus(this.focusIndex-1,-1);return;case Ii:this.setFocus(this.menuItems.length-1,-1);return;case Ci:this.setFocus(0,1);return;default:return!0}}domChildren(){return Array.from(this.children).filter(e=>!e.hasAttribute("hidden"))}setFocus(e,t){if(this.menuItems!==void 0)for(;e>=0&&e-1&&this.menuItems.length>=this.focusIndex-1&&this.menuItems[this.focusIndex].setAttribute("tabindex","-1"),this.focusIndex=e,r.setAttribute("tabindex","0"),r.focus();break}e+=t}}};fa.focusableElementRoles=P3;T([P],fa.prototype,"items",void 0)});var qV=b(()=>{BV();zV()});var HV,jV=b(()=>{B();Ht();HV=(i,e)=>H` + +`});var B3,p1,VV=b(()=>{fn();Pe();B3=class extends ee{},p1=class extends vi(B3){constructor(){super(...arguments),this.proxy=document.createElement("input")}}});var UV,WV=b(()=>{UV={email:"email",password:"password",tel:"tel",text:"text",url:"url"}});var pr,wo,m1=b(()=>{Le();B();Nc();Xi();VV();WV();pr=class extends p1{constructor(){super(...arguments),this.type=UV.text}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly,this.validate())}autofocusChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.autofocus=this.autofocus,this.validate())}placeholderChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.placeholder=this.placeholder)}typeChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.type=this.type,this.validate())}listChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.setAttribute("list",this.list),this.validate())}maxlengthChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.maxLength=this.maxlength,this.validate())}minlengthChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.minLength=this.minlength,this.validate())}patternChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.pattern=this.pattern,this.validate())}sizeChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.size=this.size)}spellcheckChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.spellcheck=this.spellcheck)}connectedCallback(){super.connectedCallback(),this.proxy.setAttribute("type",this.type),this.validate(),this.autofocus&&ce.queueUpdate(()=>{this.focus()})}select(){this.control.select(),this.$emit("select")}handleTextInput(){this.value=this.control.value}handleChange(){this.$emit("change")}validate(){super.validate(this.control)}};T([A({attribute:"readonly",mode:"boolean"})],pr.prototype,"readOnly",void 0);T([A({mode:"boolean"})],pr.prototype,"autofocus",void 0);T([A],pr.prototype,"placeholder",void 0);T([A],pr.prototype,"type",void 0);T([A],pr.prototype,"list",void 0);T([A({converter:me})],pr.prototype,"maxlength",void 0);T([A({converter:me})],pr.prototype,"minlength",void 0);T([A],pr.prototype,"pattern",void 0);T([A({converter:me})],pr.prototype,"size",void 0);T([A({mode:"boolean"})],pr.prototype,"spellcheck",void 0);T([P],pr.prototype,"defaultSlottedNodes",void 0);wo=class{};He(wo,at);He(pr,ht,wo)});var 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0);T([A({converter:me})],Zi.prototype,"maxlength",void 0);T([A({converter:me})],Zi.prototype,"minlength",void 0);T([A({converter:me})],Zi.prototype,"size",void 0);T([A({converter:me})],Zi.prototype,"step",void 0);T([A({converter:me})],Zi.prototype,"max",void 0);T([A({converter:me})],Zi.prototype,"min",void 0);T([P],Zi.prototype,"defaultSlottedNodes",void 0);He(Zi,ht,wo)});var YV=b(()=>{jV();KV()});var XV,JV,ZV=b(()=>{B();XV=44,JV=(i,e)=>H` + +`});var QV=b(()=>{ZV()});var Fn,eU=b(()=>{Le();B();Pe();Fn=class extends ee{constructor(){super(...arguments),this.percentComplete=0}valueChanged(){this.$fastController.isConnected&&this.updatePercentComplete()}minChanged(){this.$fastController.isConnected&&this.updatePercentComplete()}maxChanged(){this.$fastController.isConnected&&this.updatePercentComplete()}connectedCallback(){super.connectedCallback(),this.updatePercentComplete()}updatePercentComplete(){let e=typeof this.min=="number"?this.min:0,t=typeof 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a=this.scrollContainer.scrollWidth-this.scrollContainer.clientWidth,l=this.scrollContainer.scrollLeft-Math.min(e,a);this.isRtl&&(l=this.scrollContainer.scrollLeft+Math.min(Math.abs(e),a)),this.content.style.setProperty("transition-property","transform"),this.content.style.setProperty("transition-timing-function",this.easing),this.content.style.setProperty("transform",`translateX(${l}px)`)}resized(){this.resizeTimeout&&(this.resizeTimeout=clearTimeout(this.resizeTimeout)),this.resizeTimeout=setTimeout(()=>{this.width=this.scrollContainer.offsetWidth,this.setFlippers()},this.frameTime)}scrolled(){this.scrollTimeout&&(this.scrollTimeout=clearTimeout(this.scrollTimeout)),this.scrollTimeout=setTimeout(()=>{this.setFlippers()},this.frameTime)}};T([A({converter:me})],pa.prototype,"speed",void 0);T([A],pa.prototype,"duration",void 0);T([A],pa.prototype,"easing",void 0);T([A({attribute:"flippers-hidden-from-at",converter:Oc})],pa.prototype,"flippersHiddenFromAT",void 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x1{constructor(){super(...arguments),this.open=!1,this.forcedPosition=!1,this.listboxId=Ln("listbox-"),this.maxHeight=0}openChanged(e,t){if(this.collapsible){if(this.open){this.ariaControls=this.listboxId,this.ariaExpanded="true",this.setPositioning(),this.focusAndScrollOptionIntoView(),this.indexWhenOpened=this.selectedIndex,ce.queueUpdate(()=>this.focus());return}this.ariaControls="",this.ariaExpanded="false"}}get collapsible(){return!(this.multiple||typeof this.size=="number")}get value(){return _e.track(this,"value"),this._value}set value(e){var t,r,n,s,o,a,l;let u=`${this._value}`;if(!((t=this._options)===null||t===void 0)&&t.length){let c=this._options.findIndex(f=>f.value===e),d=(n=(r=this._options[this.selectedIndex])===null||r===void 0?void 0:r.value)!==null&&n!==void 0?n:null,h=(o=(s=this._options[c])===null||s===void 0?void 0:s.value)!==null&&o!==void 0?o:null;(c===-1||d!==h)&&(e="",this.selectedIndex=c),e=(l=(a=this.firstSelectedOption)===null||a===void 0?void 0:a.value)!==null&&l!==void 0?l:e}u!==e&&(this._value=e,super.valueChanged(u,e),_e.notify(this,"value"),this.updateDisplayValue())}updateValue(e){var t,r;this.$fastController.isConnected&&(this.value=(r=(t=this.firstSelectedOption)===null||t===void 0?void 0:t.value)!==null&&r!==void 0?r:""),e&&(this.$emit("input"),this.$emit("change",this,{bubbles:!0,composed:void 0}))}selectedIndexChanged(e,t){super.selectedIndexChanged(e,t),this.updateValue()}positionChanged(e,t){this.positionAttribute=t,this.setPositioning()}setPositioning(){let e=this.getBoundingClientRect(),r=window.innerHeight-e.bottom;this.position=this.forcedPosition?this.positionAttribute:e.top>r?Al.above:Al.below,this.positionAttribute=this.forcedPosition?this.positionAttribute:this.position,this.maxHeight=this.position===Al.above?~~e.top:~~r}get displayValue(){var e,t;return _e.track(this,"displayValue"),(t=(e=this.firstSelectedOption)===null||e===void 0?void 0:e.text)!==null&&t!==void 0?t:""}disabledChanged(e,t){super.disabledChanged&&super.disabledChanged(e,t),this.ariaDisabled=this.disabled?"true":"false"}formResetCallback(){this.setProxyOptions(),super.setDefaultSelectedOption(),this.selectedIndex===-1&&(this.selectedIndex=0)}clickHandler(e){if(!this.disabled){if(this.open){let t=e.target.closest("option,[role=option]");if(t&&t.disabled)return}return super.clickHandler(e),this.open=this.collapsible&&!this.open,!this.open&&this.indexWhenOpened!==this.selectedIndex&&this.updateValue(!0),!0}}focusoutHandler(e){var t;if(super.focusoutHandler(e),!this.open)return!0;let r=e.relatedTarget;if(this.isSameNode(r)){this.focus();return}!((t=this.options)===null||t===void 0)&&t.includes(r)||(this.open=!1,this.indexWhenOpened!==this.selectedIndex&&this.updateValue(!0))}handleChange(e,t){super.handleChange(e,t),t==="value"&&this.updateValue()}slottedOptionsChanged(e,t){this.options.forEach(r=>{_e.getNotifier(r).unsubscribe(this,"value")}),super.slottedOptionsChanged(e,t),this.options.forEach(r=>{_e.getNotifier(r).subscribe(this,"value")}),this.setProxyOptions(),this.updateValue()}mousedownHandler(e){var t;return e.offsetX>=0&&e.offsetX<=((t=this.listbox)===null||t===void 0?void 0:t.scrollWidth)?super.mousedownHandler(e):this.collapsible}multipleChanged(e,t){super.multipleChanged(e,t),this.proxy&&(this.proxy.multiple=t)}selectedOptionsChanged(e,t){var r;super.selectedOptionsChanged(e,t),(r=this.options)===null||r===void 0||r.forEach((n,s)=>{var o;let a=(o=this.proxy)===null||o===void 0?void 0:o.options.item(s);a&&(a.selected=n.selected)})}setDefaultSelectedOption(){var e;let t=(e=this.options)!==null&&e!==void 0?e:Array.from(this.children).filter(Ut.slottedOptionFilter),r=t?.findIndex(n=>n.hasAttribute("selected")||n.selected||n.value===this.value);if(r!==-1){this.selectedIndex=r;return}this.selectedIndex=0}setProxyOptions(){this.proxy instanceof HTMLSelectElement&&this.options&&(this.proxy.options.length=0,this.options.forEach(e=>{let t=e.proxy||(e instanceof HTMLOptionElement?e.cloneNode():null);t&&this.proxy.options.add(t)}))}keydownHandler(e){super.keydownHandler(e);let t=e.key||e.key.charCodeAt(0);switch(t){case dn:{e.preventDefault(),this.collapsible&&this.typeAheadExpired&&(this.open=!this.open);break}case Ci:case Ii:{e.preventDefault();break}case ni:{e.preventDefault(),this.open=!this.open;break}case cn:{this.collapsible&&this.open&&(e.preventDefault(),this.open=!1);break}case Cl:return this.collapsible&&this.open&&(e.preventDefault(),this.open=!1),!0}return!this.open&&this.indexWhenOpened!==this.selectedIndex&&(this.updateValue(!0),this.indexWhenOpened=this.selectedIndex),!(t===Dt||t===Ot)}connectedCallback(){super.connectedCallback(),this.forcedPosition=!!this.positionAttribute,this.addEventListener("contentchange",this.updateDisplayValue)}disconnectedCallback(){this.removeEventListener("contentchange",this.updateDisplayValue),super.disconnectedCallback()}sizeChanged(e,t){super.sizeChanged(e,t),this.proxy&&(this.proxy.size=t)}updateDisplayValue(){this.collapsible&&_e.notify(this,"displayValue")}};T([A({attribute:"open",mode:"boolean"})],mn.prototype,"open",void 0);T([fq],mn.prototype,"collapsible",null);T([P],mn.prototype,"control",void 0);T([A({attribute:"position"})],mn.prototype,"positionAttribute",void 0);T([P],mn.prototype,"position",void 0);T([P],mn.prototype,"maxHeight",void 0);Xp=class{};T([P],Xp.prototype,"ariaControls",void 0);He(Xp,ds);He(mn,ht,Xp)});var wU,SU=b(()=>{B();Tl();Ht();wU=(i,e)=>H` + +`});var CU=b(()=>{xU();r1();SU()});var IU,EU=b(()=>{B();IU=(i,e)=>H` + +`});var ma,kU=b(()=>{Le();B();Pe();ma=class extends ee{constructor(){super(...arguments),this.shape="rect"}};T([A],ma.prototype,"fill",void 0);T([A],ma.prototype,"shape",void 0);T([A],ma.prototype,"pattern",void 0);T([A({mode:"boolean"})],ma.prototype,"shimmer",void 0)});var TU=b(()=>{EU();kU()});var AU,MU=b(()=>{B();ye();AU=(i,e)=>H` + +`});function Jp(i,e,t,r){let n=_o(0,1,(i-e)/(t-e));return r===je.rtl&&(n=1-n),n}var V3=b(()=>{ye()});var w1,Nn,RU=b(()=>{Le();B();ye();V3();Pe();w1={min:0,max:0,direction:je.ltr,orientation:it.horizontal,disabled:!1},Nn=class extends ee{constructor(){super(...arguments),this.hideMark=!1,this.sliderDirection=je.ltr,this.getSliderConfiguration=()=>{if(!this.isSliderConfig(this.parentNode))this.sliderDirection=w1.direction||je.ltr,this.sliderOrientation=w1.orientation||it.horizontal,this.sliderMaxPosition=w1.max,this.sliderMinPosition=w1.min;else{let e=this.parentNode,{min:t,max:r,direction:n,orientation:s,disabled:o}=e;o!==void 0&&(this.disabled=o),this.sliderDirection=n||je.ltr,this.sliderOrientation=s||it.horizontal,this.sliderMaxPosition=r,this.sliderMinPosition=t}},this.positionAsStyle=()=>{let e=this.sliderDirection?this.sliderDirection:je.ltr,t=Jp(Number(this.position),Number(this.sliderMinPosition),Number(this.sliderMaxPosition)),r=Math.round((1-t)*100),n=Math.round(t*100);return Number.isNaN(n)&&Number.isNaN(r)&&(r=50,n=50),this.sliderOrientation===it.horizontal?e===je.rtl?`right: ${n}%; left: ${r}%;`:`left: ${n}%; right: ${r}%;`:`top: ${n}%; bottom: ${r}%;`}}positionChanged(){this.positionStyle=this.positionAsStyle()}sliderOrientationChanged(){}connectedCallback(){super.connectedCallback(),this.getSliderConfiguration(),this.positionStyle=this.positionAsStyle(),this.notifier=_e.getNotifier(this.parentNode),this.notifier.subscribe(this,"orientation"),this.notifier.subscribe(this,"direction"),this.notifier.subscribe(this,"max"),this.notifier.subscribe(this,"min")}disconnectedCallback(){super.disconnectedCallback(),this.notifier.unsubscribe(this,"orientation"),this.notifier.unsubscribe(this,"direction"),this.notifier.unsubscribe(this,"max"),this.notifier.unsubscribe(this,"min")}handleChange(e,t){switch(t){case"direction":this.sliderDirection=e.direction;break;case"orientation":this.sliderOrientation=e.orientation;break;case"max":this.sliderMaxPosition=e.max;break;case"min":this.sliderMinPosition=e.min;break;default:break}this.positionStyle=this.positionAsStyle()}isSliderConfig(e){return e.max!==void 0&&e.min!==void 0}};T([P],Nn.prototype,"positionStyle",void 0);T([A],Nn.prototype,"position",void 0);T([A({attribute:"hide-mark",mode:"boolean"})],Nn.prototype,"hideMark",void 0);T([A({attribute:"disabled",mode:"boolean"})],Nn.prototype,"disabled",void 0);T([P],Nn.prototype,"sliderOrientation",void 0);T([P],Nn.prototype,"sliderMinPosition",void 0);T([P],Nn.prototype,"sliderMaxPosition",void 0);T([P],Nn.prototype,"sliderDirection",void 0)});var DU=b(()=>{MU();RU()});var OU,LU=b(()=>{B();ye();OU=(i,e)=>H` + +`});var U3,S1,$U=b(()=>{fn();Pe();U3=class extends ee{},S1=class extends vi(U3){constructor(){super(...arguments),this.proxy=document.createElement("input")}}});var Y3e,ki,PU=b(()=>{Le();B();ye();Il();V3();$U();Y3e={singleValue:"single-value"},ki=class extends S1{constructor(){super(...arguments),this.direction=je.ltr,this.isDragging=!1,this.trackWidth=0,this.trackMinWidth=0,this.trackHeight=0,this.trackLeft=0,this.trackMinHeight=0,this.valueTextFormatter=()=>null,this.min=0,this.max=10,this.step=1,this.orientation=it.horizontal,this.mode=Y3e.singleValue,this.keypressHandler=e=>{if(!this.readOnly){if(e.key===Ci)e.preventDefault(),this.value=`${this.min}`;else if(e.key===Ii)e.preventDefault(),this.value=`${this.max}`;else if(!e.shiftKey)switch(e.key){case kr:case Ot:e.preventDefault(),this.increment();break;case Er:case Dt:e.preventDefault(),this.decrement();break}}},this.setupTrackConstraints=()=>{let e=this.track.getBoundingClientRect();this.trackWidth=this.track.clientWidth,this.trackMinWidth=this.track.clientLeft,this.trackHeight=e.bottom,this.trackMinHeight=e.top,this.trackLeft=this.getBoundingClientRect().left,this.trackWidth===0&&(this.trackWidth=1)},this.setupListeners=(e=!1)=>{let t=`${e?"remove":"add"}EventListener`;this[t]("keydown",this.keypressHandler),this[t]("mousedown",this.handleMouseDown),this.thumb[t]("mousedown",this.handleThumbMouseDown,{passive:!0}),this.thumb[t]("touchstart",this.handleThumbMouseDown,{passive:!0}),e&&(this.handleMouseDown(null),this.handleThumbMouseDown(null))},this.initialValue="",this.handleThumbMouseDown=e=>{if(e){if(this.readOnly||this.disabled||e.defaultPrevented)return;e.target.focus()}let t=`${e!==null?"add":"remove"}EventListener`;window[t]("mouseup",this.handleWindowMouseUp),window[t]("mousemove",this.handleMouseMove,{passive:!0}),window[t]("touchmove",this.handleMouseMove,{passive:!0}),window[t]("touchend",this.handleWindowMouseUp),this.isDragging=e!==null},this.handleMouseMove=e=>{if(this.readOnly||this.disabled||e.defaultPrevented)return;let t=window.TouchEvent&&e instanceof TouchEvent?e.touches[0]:e,r=this.orientation===it.horizontal?t.pageX-document.documentElement.scrollLeft-this.trackLeft:t.pageY-document.documentElement.scrollTop;this.value=`${this.calculateNewValue(r)}`},this.calculateNewValue=e=>{let t=Jp(e,this.orientation===it.horizontal?this.trackMinWidth:this.trackMinHeight,this.orientation===it.horizontal?this.trackWidth:this.trackHeight,this.direction),r=(this.max-this.min)*t+this.min;return this.convertToConstrainedValue(r)},this.handleWindowMouseUp=e=>{this.stopDragging()},this.stopDragging=()=>{this.isDragging=!1,this.handleMouseDown(null),this.handleThumbMouseDown(null)},this.handleMouseDown=e=>{let t=`${e!==null?"add":"remove"}EventListener`;if((e===null||!this.disabled&&!this.readOnly)&&(window[t]("mouseup",this.handleWindowMouseUp),window.document[t]("mouseleave",this.handleWindowMouseUp),window[t]("mousemove",this.handleMouseMove),e)){e.preventDefault(),this.setupTrackConstraints(),e.target.focus();let r=this.orientation===it.horizontal?e.pageX-document.documentElement.scrollLeft-this.trackLeft:e.pageY-document.documentElement.scrollTop;this.value=`${this.calculateNewValue(r)}`}},this.convertToConstrainedValue=e=>{isNaN(e)&&(e=this.min);let t=e-this.min,r=Math.round(t/this.step),n=t-r*(this.stepMultiplier*this.step)/this.stepMultiplier;return t=n>=Number(this.step)/2?t-n+Number(this.step):t-n,t+this.min}}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly)}get valueAsNumber(){return parseFloat(super.value)}set valueAsNumber(e){this.value=e.toString()}valueChanged(e,t){super.valueChanged(e,t),this.$fastController.isConnected&&this.setThumbPositionForOrientation(this.direction),this.$emit("change")}minChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.min=`${this.min}`),this.validate()}maxChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.max=`${this.max}`),this.validate()}stepChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.step=`${this.step}`),this.updateStepMultiplier(),this.validate()}orientationChanged(){this.$fastController.isConnected&&this.setThumbPositionForOrientation(this.direction)}connectedCallback(){super.connectedCallback(),this.proxy.setAttribute("type","range"),this.direction=Yr(this),this.updateStepMultiplier(),this.setupTrackConstraints(),this.setupListeners(),this.setupDefaultValue(),this.setThumbPositionForOrientation(this.direction)}disconnectedCallback(){this.setupListeners(!0)}increment(){let e=this.direction!==je.rtl&&this.orientation!==it.vertical?Number(this.value)+Number(this.step):Number(this.value)-Number(this.step),t=this.convertToConstrainedValue(e),r=tNumber(this.min)?`${t}`:`${this.min}`;this.value=r}setThumbPositionForOrientation(e){let r=(1-Jp(Number(this.value),Number(this.min),Number(this.max),e))*100;this.orientation===it.horizontal?this.position=this.isDragging?`right: ${r}%; transition: none;`:`right: ${r}%; transition: all 0.2s ease;`:this.position=this.isDragging?`bottom: ${r}%; transition: none;`:`bottom: ${r}%; transition: all 0.2s ease;`}updateStepMultiplier(){let e=this.step+"",t=this.step%1?e.length-e.indexOf(".")-1:0;this.stepMultiplier=Math.pow(10,t)}get midpoint(){return`${this.convertToConstrainedValue((this.max+this.min)/2)}`}setupDefaultValue(){if(typeof this.value=="string")if(this.value.length===0)this.initialValue=this.midpoint;else{let e=parseFloat(this.value);!Number.isNaN(e)&&(ethis.max)&&(this.value=this.midpoint)}}};T([A({attribute:"readonly",mode:"boolean"})],ki.prototype,"readOnly",void 0);T([P],ki.prototype,"direction",void 0);T([P],ki.prototype,"isDragging",void 0);T([P],ki.prototype,"position",void 0);T([P],ki.prototype,"trackWidth",void 0);T([P],ki.prototype,"trackMinWidth",void 0);T([P],ki.prototype,"trackHeight",void 0);T([P],ki.prototype,"trackLeft",void 0);T([P],ki.prototype,"trackMinHeight",void 0);T([P],ki.prototype,"valueTextFormatter",void 0);T([A({converter:me})],ki.prototype,"min",void 0);T([A({converter:me})],ki.prototype,"max",void 0);T([A({converter:me})],ki.prototype,"step",void 0);T([A],ki.prototype,"orientation",void 0);T([A],ki.prototype,"mode",void 0)});var FU=b(()=>{LU();PU()});var NU,BU=b(()=>{B();NU=(i,e)=>H` + +`});var W3,C1,zU=b(()=>{fn();Pe();W3=class extends ee{},C1=class extends ch(W3){constructor(){super(...arguments),this.proxy=document.createElement("input")}}});var Vc,qU=b(()=>{Le();B();ye();zU();Vc=class extends C1{constructor(){super(),this.initialValue="on",this.keypressHandler=e=>{if(!this.readOnly)switch(e.key){case ni:case dn:this.checked=!this.checked;break}},this.clickHandler=e=>{!this.disabled&&!this.readOnly&&(this.checked=!this.checked)},this.proxy.setAttribute("type","checkbox")}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly),this.readOnly?this.classList.add("readonly"):this.classList.remove("readonly")}checkedChanged(e,t){super.checkedChanged(e,t),this.checked?this.classList.add("checked"):this.classList.remove("checked")}};T([A({attribute:"readonly",mode:"boolean"})],Vc.prototype,"readOnly",void 0);T([P],Vc.prototype,"defaultSlottedNodes",void 0)});var HU=b(()=>{BU();qU()});var jU,VU=b(()=>{B();jU=(i,e)=>H` + +`});var Zp,UU=b(()=>{Pe();Zp=class extends ee{}});var WU=b(()=>{VU();UU()});var GU,KU=b(()=>{B();GU=(i,e)=>H` + +`});var gh,YU=b(()=>{Le();B();Pe();gh=class extends ee{};T([A({mode:"boolean"})],gh.prototype,"disabled",void 0)});var XU=b(()=>{KU();YU()});var JU,ZU=b(()=>{B();Ht();JU=(i,e)=>H` + +`});var QU,Bn,eW=b(()=>{Le();B();ye();Ht();Xi();Pe();QU={vertical:"vertical",horizontal:"horizontal"},Bn=class extends ee{constructor(){super(...arguments),this.orientation=QU.horizontal,this.activeindicator=!0,this.showActiveIndicator=!0,this.prevActiveTabIndex=0,this.activeTabIndex=0,this.ticking=!1,this.change=()=>{this.$emit("change",this.activetab)},this.isDisabledElement=e=>e.getAttribute("aria-disabled")==="true",this.isHiddenElement=e=>e.hasAttribute("hidden"),this.isFocusableElement=e=>!this.isDisabledElement(e)&&!this.isHiddenElement(e),this.setTabs=()=>{let e="gridColumn",t="gridRow",r=this.isHorizontal()?e:t;this.activeTabIndex=this.getActiveIndex(),this.showActiveIndicator=!1,this.tabs.forEach((n,s)=>{if(n.slot==="tab"){let o=this.activeTabIndex===s&&this.isFocusableElement(n);this.activeindicator&&this.isFocusableElement(n)&&(this.showActiveIndicator=!0);let a=this.tabIds[s],l=this.tabpanelIds[s];n.setAttribute("id",a),n.setAttribute("aria-selected",o?"true":"false"),n.setAttribute("aria-controls",l),n.addEventListener("click",this.handleTabClick),n.addEventListener("keydown",this.handleTabKeyDown),n.setAttribute("tabindex",o?"0":"-1"),o&&(this.activetab=n,this.activeid=a)}n.style[e]="",n.style[t]="",n.style[r]=`${s+1}`,this.isHorizontal()?n.classList.remove("vertical"):n.classList.add("vertical")})},this.setTabPanels=()=>{this.tabpanels.forEach((e,t)=>{let r=this.tabIds[t],n=this.tabpanelIds[t];e.setAttribute("id",n),e.setAttribute("aria-labelledby",r),this.activeTabIndex!==t?e.setAttribute("hidden",""):e.removeAttribute("hidden")})},this.handleTabClick=e=>{let t=e.currentTarget;t.nodeType===1&&this.isFocusableElement(t)&&(this.prevActiveTabIndex=this.activeTabIndex,this.activeTabIndex=this.tabs.indexOf(t),this.setComponent())},this.handleTabKeyDown=e=>{if(this.isHorizontal())switch(e.key){case Er:e.preventDefault(),this.adjustBackward(e);break;case kr:e.preventDefault(),this.adjustForward(e);break}else switch(e.key){case Ot:e.preventDefault(),this.adjustBackward(e);break;case Dt:e.preventDefault(),this.adjustForward(e);break}switch(e.key){case Ci:e.preventDefault(),this.adjust(-this.activeTabIndex);break;case Ii:e.preventDefault(),this.adjust(this.tabs.length-this.activeTabIndex-1);break}},this.adjustForward=e=>{let t=this.tabs,r=0;for(r=this.activetab?t.indexOf(this.activetab)+1:1,r===t.length&&(r=0);r1;)if(this.isFocusableElement(t[r])){this.moveToTabByIndex(t,r);break}else{if(this.activetab&&r===t.indexOf(this.activetab))break;r+1>=t.length?r=0:r+=1}},this.adjustBackward=e=>{let t=this.tabs,r=0;for(r=this.activetab?t.indexOf(this.activetab)-1:0,r=r<0?t.length-1:r;r>=0&&t.length>1;)if(this.isFocusableElement(t[r])){this.moveToTabByIndex(t,r);break}else r-1<0?r=t.length-1:r-=1},this.moveToTabByIndex=(e,t)=>{let r=e[t];this.activetab=r,this.prevActiveTabIndex=this.activeTabIndex,this.activeTabIndex=t,r.focus(),this.setComponent()}}orientationChanged(){this.$fastController.isConnected&&(this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}activeidChanged(e,t){this.$fastController.isConnected&&this.tabs.length<=this.tabpanels.length&&(this.prevActiveTabIndex=this.tabs.findIndex(r=>r.id===e),this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}tabsChanged(){this.$fastController.isConnected&&this.tabs.length<=this.tabpanels.length&&(this.tabIds=this.getTabIds(),this.tabpanelIds=this.getTabPanelIds(),this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}tabpanelsChanged(){this.$fastController.isConnected&&this.tabpanels.length<=this.tabs.length&&(this.tabIds=this.getTabIds(),this.tabpanelIds=this.getTabPanelIds(),this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}getActiveIndex(){return this.activeid!==void 0?this.tabIds.indexOf(this.activeid)===-1?0:this.tabIds.indexOf(this.activeid):0}getTabIds(){return this.tabs.map(e=>{var t;return(t=e.getAttribute("id"))!==null&&t!==void 0?t:`tab-${Ln()}`})}getTabPanelIds(){return this.tabpanels.map(e=>{var t;return(t=e.getAttribute("id"))!==null&&t!==void 0?t:`panel-${Ln()}`})}setComponent(){this.activeTabIndex!==this.prevActiveTabIndex&&(this.activeid=this.tabIds[this.activeTabIndex],this.focusTab(),this.change())}isHorizontal(){return this.orientation===QU.horizontal}handleActiveIndicatorPosition(){this.showActiveIndicator&&this.activeindicator&&this.activeTabIndex!==this.prevActiveTabIndex&&(this.ticking?this.ticking=!1:(this.ticking=!0,this.animateActiveIndicator()))}animateActiveIndicator(){this.ticking=!0;let e=this.isHorizontal()?"gridColumn":"gridRow",t=this.isHorizontal()?"translateX":"translateY",r=this.isHorizontal()?"offsetLeft":"offsetTop",n=this.activeIndicatorRef[r];this.activeIndicatorRef.style[e]=`${this.activeTabIndex+1}`;let s=this.activeIndicatorRef[r];this.activeIndicatorRef.style[e]=`${this.prevActiveTabIndex+1}`;let o=s-n;this.activeIndicatorRef.style.transform=`${t}(${o}px)`,this.activeIndicatorRef.classList.add("activeIndicatorTransition"),this.activeIndicatorRef.addEventListener("transitionend",()=>{this.ticking=!1,this.activeIndicatorRef.style[e]=`${this.activeTabIndex+1}`,this.activeIndicatorRef.style.transform=`${t}(0px)`,this.activeIndicatorRef.classList.remove("activeIndicatorTransition")})}adjust(e){let t=this.tabs.filter(o=>this.isFocusableElement(o)),r=t.indexOf(this.activetab),n=_o(0,t.length-1,r+e),s=this.tabs.indexOf(t[n]);s>-1&&this.moveToTabByIndex(this.tabs,s)}focusTab(){this.tabs[this.activeTabIndex].focus()}connectedCallback(){super.connectedCallback(),this.tabIds=this.getTabIds(),this.tabpanelIds=this.getTabPanelIds(),this.activeTabIndex=this.getActiveIndex()}};T([A],Bn.prototype,"orientation",void 0);T([A],Bn.prototype,"activeid",void 0);T([P],Bn.prototype,"tabs",void 0);T([P],Bn.prototype,"tabpanels",void 0);T([A({mode:"boolean"})],Bn.prototype,"activeindicator",void 0);T([P],Bn.prototype,"activeIndicatorRef",void 0);T([P],Bn.prototype,"showActiveIndicator",void 0);He(Bn,ht)});var tW=b(()=>{ZU();eW()});var G3,I1,iW=b(()=>{fn();Pe();G3=class extends ee{},I1=class extends vi(G3){constructor(){super(...arguments),this.proxy=document.createElement("textarea")}}});var E1,rW=b(()=>{E1={none:"none",both:"both",horizontal:"horizontal",vertical:"vertical"}});var Ni,K3=b(()=>{Le();B();m1();Xi();iW();rW();Ni=class extends I1{constructor(){super(...arguments),this.resize=E1.none,this.cols=20,this.handleTextInput=()=>{this.value=this.control.value}}readOnlyChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.readOnly=this.readOnly)}autofocusChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.autofocus=this.autofocus)}listChanged(){this.proxy instanceof HTMLTextAreaElement&&this.proxy.setAttribute("list",this.list)}maxlengthChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.maxLength=this.maxlength)}minlengthChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.minLength=this.minlength)}spellcheckChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.spellcheck=this.spellcheck)}select(){this.control.select(),this.$emit("select")}handleChange(){this.$emit("change")}validate(){super.validate(this.control)}};T([A({mode:"boolean"})],Ni.prototype,"readOnly",void 0);T([A],Ni.prototype,"resize",void 0);T([A({mode:"boolean"})],Ni.prototype,"autofocus",void 0);T([A({attribute:"form"})],Ni.prototype,"formId",void 0);T([A],Ni.prototype,"list",void 0);T([A({converter:me})],Ni.prototype,"maxlength",void 0);T([A({converter:me})],Ni.prototype,"minlength",void 0);T([A],Ni.prototype,"name",void 0);T([A],Ni.prototype,"placeholder",void 0);T([A({converter:me,mode:"fromView"})],Ni.prototype,"cols",void 0);T([A({converter:me,mode:"fromView"})],Ni.prototype,"rows",void 0);T([A({mode:"boolean"})],Ni.prototype,"spellcheck",void 0);T([P],Ni.prototype,"defaultSlottedNodes",void 0);He(Ni,wo)});var nW,sW=b(()=>{B();K3();nW=(i,e)=>H` + +`});var oW=b(()=>{sW();K3()});var aW,lW=b(()=>{B();Ht();v1();aW=(i,e)=>H` + +`});var uW=b(()=>{lW();m1()});var cW,dW=b(()=>{B();Ht();cW=(i,e)=>H` + +`});function hW(i){let e=i.getRootNode();return e instanceof ShadowRoot?e.activeElement:document.activeElement}var fW=b(()=>{});var pW,qs,bh,mW=b(()=>{Le();B();ye();u1();Pe();Bp();Ht();Xi();Il();fW();pW=Object.freeze({[hn.ArrowUp]:{[it.vertical]:-1},[hn.ArrowDown]:{[it.vertical]:1},[hn.ArrowLeft]:{[it.horizontal]:{[je.ltr]:-1,[je.rtl]:1}},[hn.ArrowRight]:{[it.horizontal]:{[je.ltr]:1,[je.rtl]:-1}}}),qs=class extends ee{constructor(){super(...arguments),this._activeIndex=0,this.direction=je.ltr,this.orientation=it.horizontal}get activeIndex(){return _e.track(this,"activeIndex"),this._activeIndex}set activeIndex(e){this.$fastController.isConnected&&(this._activeIndex=_o(0,this.focusableElements.length-1,e),_e.notify(this,"activeIndex"))}slottedItemsChanged(){this.$fastController.isConnected&&this.reduceFocusableElements()}mouseDownHandler(e){var t;let r=(t=this.focusableElements)===null||t===void 0?void 0:t.findIndex(n=>n.contains(e.target));return r>-1&&this.activeIndex!==r&&this.setFocusedElement(r),!0}childItemsChanged(e,t){this.$fastController.isConnected&&this.reduceFocusableElements()}connectedCallback(){super.connectedCallback(),this.direction=Yr(this)}focusinHandler(e){let t=e.relatedTarget;!t||this.contains(t)||this.setFocusedElement()}getDirectionalIncrementer(e){var t,r,n,s,o;return(o=(n=(r=(t=pW[e])===null||t===void 0?void 0:t[this.orientation])===null||r===void 0?void 0:r[this.direction])!==null&&n!==void 0?n:(s=pW[e])===null||s===void 0?void 0:s[this.orientation])!==null&&o!==void 0?o:0}keydownHandler(e){let t=e.key;if(!(t in hn)||e.defaultPrevented||e.shiftKey)return!0;let r=this.getDirectionalIncrementer(t);if(!r)return!e.target.closest("[role=radiogroup]");let n=this.activeIndex+r;return this.focusableElements[n]&&e.preventDefault(),this.setFocusedElement(n),!0}get allSlottedItems(){return[...this.start.assignedElements(),...this.slottedItems,...this.end.assignedElements()]}reduceFocusableElements(){var e;let t=(e=this.focusableElements)===null||e===void 0?void 0:e[this.activeIndex];this.focusableElements=this.allSlottedItems.reduce(qs.reduceFocusableItems,[]);let r=this.focusableElements.indexOf(t);this.activeIndex=Math.max(0,r),this.setFocusableElements()}setFocusedElement(e=this.activeIndex){this.activeIndex=e,this.setFocusableElements(),this.focusableElements[this.activeIndex]&&this.contains(hW(this))&&this.focusableElements[this.activeIndex].focus()}static reduceFocusableItems(e,t){var r,n,s,o;let a=t.getAttribute("role")==="radio",l=(n=(r=t.$fastController)===null||r===void 0?void 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${Xe(t=>t.tooltipVisible,H` + <${i.tagFor(We)} + fixed-placement="true" + auto-update-mode="${t=>t.autoUpdateMode}" + vertical-positioning-mode="${t=>t.verticalPositioningMode}" + vertical-default-position="${t=>t.verticalDefaultPosition}" + vertical-inset="${t=>t.verticalInset}" + vertical-scaling="${t=>t.verticalScaling}" + horizontal-positioning-mode="${t=>t.horizontalPositioningMode}" + horizontal-default-position="${t=>t.horizontalDefaultPosition}" + horizontal-scaling="${t=>t.horizontalScaling}" + horizontal-inset="${t=>t.horizontalInset}" + vertical-viewport-lock="${t=>t.horizontalViewportLock}" + horizontal-viewport-lock="${t=>t.verticalViewportLock}" + dir="${t=>t.currentDirection}" + ${Ae("region")} + > + + + `)} + `});var Jr,_W=b(()=>{Jr={top:"top",right:"right",bottom:"bottom",left:"left",start:"start",end:"end",topLeft:"top-left",topRight:"top-right",bottomLeft:"bottom-left",bottomRight:"bottom-right",topStart:"top-start",topEnd:"top-end",bottomStart:"bottom-start",bottomEnd:"bottom-end"}});var Wt,yW=b(()=>{Le();B();ye();Il();Pe();_W();Wt=class extends ee{constructor(){super(...arguments),this.anchor="",this.delay=300,this.autoUpdateMode="anchor",this.anchorElement=null,this.viewportElement=null,this.verticalPositioningMode="dynamic",this.horizontalPositioningMode="dynamic",this.horizontalInset="false",this.verticalInset="false",this.horizontalScaling="content",this.verticalScaling="content",this.verticalDefaultPosition=void 0,this.horizontalDefaultPosition=void 0,this.tooltipVisible=!1,this.currentDirection=je.ltr,this.showDelayTimer=null,this.hideDelayTimer=null,this.isAnchorHoveredFocused=!1,this.isRegionHovered=!1,this.handlePositionChange=e=>{this.classList.toggle("top",this.region.verticalPosition==="start"),this.classList.toggle("bottom",this.region.verticalPosition==="end"),this.classList.toggle("inset-top",this.region.verticalPosition==="insetStart"),this.classList.toggle("inset-bottom",this.region.verticalPosition==="insetEnd"),this.classList.toggle("center-vertical",this.region.verticalPosition==="center"),this.classList.toggle("left",this.region.horizontalPosition==="start"),this.classList.toggle("right",this.region.horizontalPosition==="end"),this.classList.toggle("inset-left",this.region.horizontalPosition==="insetStart"),this.classList.toggle("inset-right",this.region.horizontalPosition==="insetEnd"),this.classList.toggle("center-horizontal",this.region.horizontalPosition==="center")},this.handleRegionMouseOver=e=>{this.isRegionHovered=!0},this.handleRegionMouseOut=e=>{this.isRegionHovered=!1,this.startHideDelayTimer()},this.handleAnchorMouseOver=e=>{if(this.tooltipVisible){this.isAnchorHoveredFocused=!0;return}this.startShowDelayTimer()},this.handleAnchorMouseOut=e=>{this.isAnchorHoveredFocused=!1,this.clearShowDelayTimer(),this.startHideDelayTimer()},this.handleAnchorFocusIn=e=>{this.startShowDelayTimer()},this.handleAnchorFocusOut=e=>{this.isAnchorHoveredFocused=!1,this.clearShowDelayTimer(),this.startHideDelayTimer()},this.startHideDelayTimer=()=>{this.clearHideDelayTimer(),this.tooltipVisible&&(this.hideDelayTimer=window.setTimeout(()=>{this.updateTooltipVisibility()},60))},this.clearHideDelayTimer=()=>{this.hideDelayTimer!==null&&(clearTimeout(this.hideDelayTimer),this.hideDelayTimer=null)},this.startShowDelayTimer=()=>{if(!this.isAnchorHoveredFocused){if(this.delay>1){this.showDelayTimer===null&&(this.showDelayTimer=window.setTimeout(()=>{this.startHover()},this.delay));return}this.startHover()}},this.startHover=()=>{this.isAnchorHoveredFocused=!0,this.updateTooltipVisibility()},this.clearShowDelayTimer=()=>{this.showDelayTimer!==null&&(clearTimeout(this.showDelayTimer),this.showDelayTimer=null)},this.getAnchor=()=>{let e=this.getRootNode();return e instanceof ShadowRoot?e.getElementById(this.anchor):document.getElementById(this.anchor)},this.handleDocumentKeydown=e=>{if(!e.defaultPrevented&&this.tooltipVisible)switch(e.key){case cn:this.isAnchorHoveredFocused=!1,this.updateTooltipVisibility(),this.$emit("dismiss");break}},this.updateTooltipVisibility=()=>{if(this.visible===!1)this.hideTooltip();else if(this.visible===!0){this.showTooltip();return}else{if(this.isAnchorHoveredFocused||this.isRegionHovered){this.showTooltip();return}this.hideTooltip()}},this.showTooltip=()=>{this.tooltipVisible||(this.currentDirection=Yr(this),this.tooltipVisible=!0,document.addEventListener("keydown",this.handleDocumentKeydown),ce.queueUpdate(this.setRegionProps))},this.hideTooltip=()=>{this.tooltipVisible&&(this.clearHideDelayTimer(),this.region!==null&&this.region!==void 0&&(this.region.removeEventListener("positionchange",this.handlePositionChange),this.region.viewportElement=null,this.region.anchorElement=null,this.region.removeEventListener("mouseover",this.handleRegionMouseOver),this.region.removeEventListener("mouseout",this.handleRegionMouseOut)),document.removeEventListener("keydown",this.handleDocumentKeydown),this.tooltipVisible=!1)},this.setRegionProps=()=>{this.tooltipVisible&&(this.region.viewportElement=this.viewportElement,this.region.anchorElement=this.anchorElement,this.region.addEventListener("positionchange",this.handlePositionChange),this.region.addEventListener("mouseover",this.handleRegionMouseOver,{passive:!0}),this.region.addEventListener("mouseout",this.handleRegionMouseOut,{passive:!0}))}}visibleChanged(){this.$fastController.isConnected&&(this.updateTooltipVisibility(),this.updateLayout())}anchorChanged(){this.$fastController.isConnected&&(this.anchorElement=this.getAnchor())}positionChanged(){this.$fastController.isConnected&&this.updateLayout()}anchorElementChanged(e){if(this.$fastController.isConnected){if(e!=null&&(e.removeEventListener("mouseover",this.handleAnchorMouseOver),e.removeEventListener("mouseout",this.handleAnchorMouseOut),e.removeEventListener("focusin",this.handleAnchorFocusIn),e.removeEventListener("focusout",this.handleAnchorFocusOut)),this.anchorElement!==null&&this.anchorElement!==void 0){this.anchorElement.addEventListener("mouseover",this.handleAnchorMouseOver,{passive:!0}),this.anchorElement.addEventListener("mouseout",this.handleAnchorMouseOut,{passive:!0}),this.anchorElement.addEventListener("focusin",this.handleAnchorFocusIn,{passive:!0}),this.anchorElement.addEventListener("focusout",this.handleAnchorFocusOut,{passive:!0});let t=this.anchorElement.id;this.anchorElement.parentElement!==null&&this.anchorElement.parentElement.querySelectorAll(":hover").forEach(r=>{r.id===t&&this.startShowDelayTimer()})}this.region!==null&&this.region!==void 0&&this.tooltipVisible&&(this.region.anchorElement=this.anchorElement),this.updateLayout()}}viewportElementChanged(){this.region!==null&&this.region!==void 0&&(this.region.viewportElement=this.viewportElement),this.updateLayout()}connectedCallback(){super.connectedCallback(),this.anchorElement=this.getAnchor(),this.updateTooltipVisibility()}disconnectedCallback(){this.hideTooltip(),this.clearShowDelayTimer(),this.clearHideDelayTimer(),super.disconnectedCallback()}updateLayout(){switch(this.verticalPositioningMode="locktodefault",this.horizontalPositioningMode="locktodefault",this.position){case Jr.top:case Jr.bottom:this.verticalDefaultPosition=this.position,this.horizontalDefaultPosition="center";break;case Jr.right:case Jr.left:case Jr.start:case Jr.end:this.verticalDefaultPosition="center",this.horizontalDefaultPosition=this.position;break;case Jr.topLeft:this.verticalDefaultPosition="top",this.horizontalDefaultPosition="left";break;case Jr.topRight:this.verticalDefaultPosition="top",this.horizontalDefaultPosition="right";break;case Jr.bottomLeft:this.verticalDefaultPosition="bottom",this.horizontalDefaultPosition="left";break;case 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0);T([A({attribute:"vertical-viewport-lock"})],Wt.prototype,"verticalViewportLock",void 0);T([P],Wt.prototype,"anchorElement",void 0);T([P],Wt.prototype,"viewportElement",void 0);T([P],Wt.prototype,"verticalPositioningMode",void 0);T([P],Wt.prototype,"horizontalPositioningMode",void 0);T([P],Wt.prototype,"horizontalInset",void 0);T([P],Wt.prototype,"verticalInset",void 0);T([P],Wt.prototype,"horizontalScaling",void 0);T([P],Wt.prototype,"verticalScaling",void 0);T([P],Wt.prototype,"verticalDefaultPosition",void 0);T([P],Wt.prototype,"horizontalDefaultPosition",void 0);T([P],Wt.prototype,"tooltipVisible",void 0);T([P],Wt.prototype,"currentDirection",void 0)});var xW=b(()=>{vW();yW()});var wW,SW=b(()=>{B();Ht();wW=(i,e)=>H` + +`});function Hs(i){return vo(i)&&i.getAttribute("role")==="treeitem"}var Lt,Y3=b(()=>{Le();B();ye();Ht();Xi();Pe();Lt=class extends ee{constructor(){super(...arguments),this.expanded=!1,this.focusable=!1,this.isNestedItem=()=>Hs(this.parentElement),this.handleExpandCollapseButtonClick=e=>{!this.disabled&&!e.defaultPrevented&&(this.expanded=!this.expanded)},this.handleFocus=e=>{this.setAttribute("tabindex","0")},this.handleBlur=e=>{this.setAttribute("tabindex","-1")}}expandedChanged(){this.$fastController.isConnected&&this.$emit("expanded-change",this)}selectedChanged(){this.$fastController.isConnected&&this.$emit("selected-change",this)}itemsChanged(e,t){this.$fastController.isConnected&&this.items.forEach(r=>{Hs(r)&&(r.nested=!0)})}static focusItem(e){e.focusable=!0,e.focus()}childItemLength(){let e=this.childItems.filter(t=>Hs(t));return e?e.length:0}};T([A({mode:"boolean"})],Lt.prototype,"expanded",void 0);T([A({mode:"boolean"})],Lt.prototype,"selected",void 0);T([A({mode:"boolean"})],Lt.prototype,"disabled",void 0);T([P],Lt.prototype,"focusable",void 0);T([P],Lt.prototype,"childItems",void 0);T([P],Lt.prototype,"items",void 0);T([P],Lt.prototype,"nested",void 0);T([P],Lt.prototype,"renderCollapsedChildren",void 0);He(Lt,ht)});var CW=b(()=>{SW();Y3()});var IW,EW=b(()=>{B();IW=(i,e)=>H` + +`});var Dl,kW=b(()=>{Le();B();ye();Y3();Pe();Dl=class extends ee{constructor(){super(...arguments),this.currentFocused=null,this.handleFocus=e=>{if(!(this.slottedTreeItems.length<1)){if(e.target===this){this.currentFocused===null&&(this.currentFocused=this.getValidFocusableItem()),this.currentFocused!==null&&Lt.focusItem(this.currentFocused);return}this.contains(e.target)&&(this.setAttribute("tabindex","-1"),this.currentFocused=e.target)}},this.handleBlur=e=>{e.target instanceof HTMLElement&&(e.relatedTarget===null||!this.contains(e.relatedTarget))&&this.setAttribute("tabindex","0")},this.handleKeyDown=e=>{if(e.defaultPrevented)return;if(this.slottedTreeItems.length<1)return!0;let t=this.getVisibleNodes();switch(e.key){case Ci:t.length&&Lt.focusItem(t[0]);return;case Ii:t.length&&Lt.focusItem(t[t.length-1]);return;case Er:if(e.target&&this.isFocusableElement(e.target)){let r=e.target;r instanceof Lt&&r.childItemLength()>0&&r.expanded?r.expanded=!1:r instanceof Lt&&r.parentElement instanceof Lt&&Lt.focusItem(r.parentElement)}return!1;case kr:if(e.target&&this.isFocusableElement(e.target)){let r=e.target;r instanceof Lt&&r.childItemLength()>0&&!r.expanded?r.expanded=!0:r instanceof Lt&&r.childItemLength()>0&&this.focusNextNode(1,e.target)}return;case Dt:e.target&&this.isFocusableElement(e.target)&&this.focusNextNode(1,e.target);return;case Ot:e.target&&this.isFocusableElement(e.target)&&this.focusNextNode(-1,e.target);return;case ni:this.handleClick(e);return}return!0},this.handleSelectedChange=e=>{if(e.defaultPrevented)return;if(!(e.target instanceof Element)||!Hs(e.target))return!0;let t=e.target;t.selected?(this.currentSelected&&this.currentSelected!==t&&(this.currentSelected.selected=!1),this.currentSelected=t):!t.selected&&this.currentSelected===t&&(this.currentSelected=null)},this.setItems=()=>{let e=this.treeView.querySelector("[aria-selected='true']");this.currentSelected=e,(this.currentFocused===null||!this.contains(this.currentFocused))&&(this.currentFocused=this.getValidFocusableItem()),this.nested=this.checkForNestedItems(),this.getVisibleNodes().forEach(r=>{Hs(r)&&(r.nested=this.nested)})},this.isFocusableElement=e=>Hs(e),this.isSelectedElement=e=>e.selected}slottedTreeItemsChanged(){this.$fastController.isConnected&&this.setItems()}connectedCallback(){super.connectedCallback(),this.setAttribute("tabindex","0"),ce.queueUpdate(()=>{this.setItems()})}handleClick(e){if(e.defaultPrevented)return;if(!(e.target instanceof Element)||!Hs(e.target))return!0;let t=e.target;t.disabled||(t.selected=!t.selected)}focusNextNode(e,t){let r=this.getVisibleNodes();if(!r)return;let n=r[r.indexOf(t)+e];vo(n)&&Lt.focusItem(n)}getValidFocusableItem(){let e=this.getVisibleNodes(),t=e.findIndex(this.isSelectedElement);return t===-1&&(t=e.findIndex(this.isFocusableElement)),t!==-1?e[t]:null}checkForNestedItems(){return this.slottedTreeItems.some(e=>Hs(e)&&e.querySelector("[role='treeitem']"))}getVisibleNodes(){return gH(this,"[role='treeitem']")||[]}};T([A({attribute:"render-collapsed-nodes"})],Dl.prototype,"renderCollapsedNodes",void 0);T([P],Dl.prototype,"currentSelected",void 0);T([P],Dl.prototype,"slottedTreeItems",void 0)});var TW=b(()=>{EW();kW()});var X3,Uc,ve,blt,vlt,AW=b(()=>{X3=class{constructor(e){this.listenerCache=new WeakMap,this.query=e}bind(e){let{query:t}=this,r=this.constructListener(e);r.bind(t)(),t.addListener(r),this.listenerCache.set(e,r)}unbind(e){let t=this.listenerCache.get(e);t&&(this.query.removeListener(t),this.listenerCache.delete(e))}},Uc=class extends 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cursor: pointer; + margin: calc((${be} + 2) * 1px); + } + + .control { + background: transparent; + height: inherit; + flex-grow: 1; + box-sizing: border-box; + display: inline-flex; + justify-content: center; + align-items: center; + padding: 0 + max( + 1px, + calc((10 + (${K} * 2 * (${_t} + ${$l})))) * 1px + ); + white-space: nowrap; + outline: none; + text-decoration: none; + border: calc(${de} * 1px) solid transparent; + color: inherit; + border-radius: inherit; + fill: inherit; + cursor: inherit; + font-family: inherit; + font-size: inherit; + line-height: inherit; + } + + :host(:hover) { + background-color: ${ps}; + } + + :host(:active) { + background-color: ${zl}; + } + + :host([aria-pressed='true']) { + box-shadow: inset 0px 0px 2px 2px ${Eh}; + } + + :host([minimal]), + :host([scale='xsmall']) { + --element-scale: -4; + } + + :host([scale='small']) { + --element-scale: -2; + } + + :host([scale='medium']) { + --element-scale: 0; + } + + :host([scale='large']) { + --element-scale: 2; + } + + :host([scale='xlarge']) { + --element-scale: 4; + } + + /* prettier-ignore */ + .control:${X} { + outline: calc(${be} * 1px) solid ${KG}; + outline-offset: 2px; + -moz-outline-radius: 0px; + } + + .control::-moz-focus-inner { + border: 0; + } + + .start, + .end { + display: flex; + } + + .control.icon-only { + padding: 0; + line-height: 0; + } + + ::slotted(svg) { + ${""} width: 16px; + height: 16px; + pointer-events: none; + } + + .start { + margin-inline-end: 11px; + } + + .end { + margin-inline-start: 11px; + } +`.withBehaviors(ve(F` + :host .control { + background-color: ${D.ButtonFace}; + border-color: ${D.ButtonText}; + color: ${D.ButtonText}; + fill: currentColor; + } + + :host(:hover) .control { + forced-color-adjust: none; + background-color: ${D.Highlight}; + color: ${D.HighlightText}; + } + + /* prettier-ignore */ + .control:${X} { + forced-color-adjust: none; + background-color: ${D.Highlight}; + outline-color: ${D.ButtonText}; + color: ${D.HighlightText}; + } + + .control:hover, + :host([appearance='outline']) .control:hover { + border-color: ${D.ButtonText}; + } + + :host([href]) .control { + border-color: ${D.LinkText}; + color: ${D.LinkText}; + } + + :host([href]) .control:hover, + :host([href]) .control:${X} { + forced-color-adjust: none; + background: ${D.ButtonFace}; + outline-color: ${D.LinkText}; + color: ${D.LinkText}; + fill: currentColor; + } + `)),iv=F` + :host([appearance='accent']) { + background: ${ut}; + color: ${Ai}; + } + + :host([appearance='accent']:hover) { + background: ${Ti}; + color: ${mr}; + } + + :host([appearance='accent'][aria-pressed='true']) { + box-shadow: inset 0px 0px 2px 2px ${Co}; + } + + :host([appearance='accent']:active) .control:active { + background: ${Gt}; + color: ${Bi}; + } + + :host([appearance="accent"]) .control:${X} { + outline-color: ${qe}; + } +`.withBehaviors(ve(F` + :host([appearance='accent']) .control { + forced-color-adjust: none; + background: ${D.Highlight}; + color: ${D.HighlightText}; + } + + :host([appearance='accent']) .control:hover, + :host([appearance='accent']:active) .control:active { + background: ${D.HighlightText}; + border-color: ${D.Highlight}; + color: ${D.Highlight}; + } + + :host([appearance="accent"]) .control:${X} { + outline-color: ${D.Highlight}; + } + + :host([appearance='accent'][href]) .control { + background: ${D.LinkText}; + color: ${D.HighlightText}; + } + + :host([appearance='accent'][href]) .control:hover { + background: ${D.ButtonFace}; + border-color: ${D.LinkText}; + box-shadow: none; + color: ${D.LinkText}; + fill: currentColor; + } + + :host([appearance="accent"][href]) .control:${X} { + outline-color: ${D.HighlightText}; + } + `)),OK=F` + :host([appearance='error']) { + background: ${$t}; + color: ${Ai}; + } + + :host([appearance='error']:hover) { + background: ${ai}; + color: ${mr}; + } + + :host([appearance='error'][aria-pressed='true']) { + box-shadow: inset 0px 0px 2px 2px ${ZG}; + } + + :host([appearance='error']:active) .control:active { + background: ${Mi}; + color: ${Bi}; + } + + :host([appearance="error"]) .control:${X} { + outline-color: ${At}; + } +`.withBehaviors(ve(F` + :host([appearance='error']) .control { + forced-color-adjust: none; + background: ${D.Highlight}; + color: ${D.HighlightText}; + } + + :host([appearance='error']) .control:hover, + :host([appearance='error']:active) .control:active { + background: ${D.HighlightText}; + border-color: ${D.Highlight}; + color: ${D.Highlight}; + } + + :host([appearance="error"]) .control:${X} { + outline-color: ${D.Highlight}; + } + + :host([appearance='error'][href]) .control { + background: ${D.LinkText}; + color: ${D.HighlightText}; + } + + :host([appearance='error'][href]) .control:hover { + background: ${D.ButtonFace}; + border-color: ${D.LinkText}; + box-shadow: none; + color: ${D.LinkText}; + fill: currentColor; + } + + :host([appearance="error"][href]) .control:${X} { + outline-color: ${D.HighlightText}; + } + `)),LK=F` + :host([appearance='hypertext']) { + font-size: inherit; + line-height: inherit; + height: auto; + min-width: 0; + background: transparent; + } + + :host([appearance='hypertext']) .control { + display: inline; + padding: 0; + border: none; + box-shadow: none; + border-radius: 0; + line-height: 1; + } + + :host a.control:not(:link) { + background-color: transparent; + cursor: default; + } + :host([appearance='hypertext']) .control:link, + :host([appearance='hypertext']) .control:visited { + background: transparent; + color: ${oi}; + border-bottom: calc(${de} * 1px) solid ${oi}; + } + + :host([appearance='hypertext']:hover), + :host([appearance='hypertext']) .control:hover { + background: transparent; + border-bottom-color: ${_a}; + } + + :host([appearance='hypertext']:active), + :host([appearance='hypertext']) .control:active { + background: transparent; + border-bottom-color: ${Co}; + } + + :host([appearance="hypertext"]) .control:${X} { + outline-color: transparent; + border-bottom: calc(${be} * 1px) solid ${zi}; + margin-bottom: calc(calc(${de} - ${be}) * 1px); + } +`.withBehaviors(ve(F` + :host([appearance='hypertext']:hover) { + background-color: ${D.ButtonFace}; + color: ${D.ButtonText}; + } + :host([appearance="hypertext"][href]) .control:hover, + :host([appearance="hypertext"][href]) .control:active, + :host([appearance="hypertext"][href]) .control:${X} { + color: ${D.LinkText}; + border-bottom-color: ${D.LinkText}; + box-shadow: none; + } + `)),rv=F` + :host([appearance='lightweight']) { + background: transparent; + color: ${oi}; + } + + :host([appearance='lightweight']) .control { + padding: 0; + height: initial; + border: none; + box-shadow: none; + border-radius: 0; + } + + :host([appearance='lightweight']:hover) { + background: transparent; + color: ${_a}; + } + + :host([appearance='lightweight']:active) { + background: transparent; + color: ${Co}; + } + + :host([appearance='lightweight']) .content { + position: relative; + } + + :host([appearance='lightweight']) .content::before { + content: ''; + display: block; + height: calc(${de} * 1px); + position: absolute; + top: calc(1em + 4px); + width: 100%; + } + + :host([appearance='lightweight']:hover) .content::before { + background: ${_a}; + } + + :host([appearance='lightweight']:active) .content::before { + background: ${Co}; + } + + :host([appearance="lightweight"]) .control:${X} { + outline-color: transparent; + } + + :host([appearance="lightweight"]) .control:${X} .content::before { + background: ${fe}; + height: calc(${be} * 1px); + } +`.withBehaviors(ve(F` + :host([appearance="lightweight"]) .control:hover, + :host([appearance="lightweight"]) .control:${X} { + forced-color-adjust: none; + background: ${D.ButtonFace}; + color: ${D.Highlight}; + } + :host([appearance="lightweight"]) .control:hover .content::before, + :host([appearance="lightweight"]) .control:${X} .content::before { + background: ${D.Highlight}; + } + + :host([appearance="lightweight"][href]) .control:hover, + :host([appearance="lightweight"][href]) .control:${X} { + background: ${D.ButtonFace}; + box-shadow: none; + color: ${D.LinkText}; + } + + :host([appearance="lightweight"][href]) .control:hover .content::before, + :host([appearance="lightweight"][href]) .control:${X} .content::before { + background: ${D.LinkText}; + } + `)),nv=F` + :host([appearance='outline']) { + background: transparent; + border-color: ${ut}; + } + + :host([appearance='outline']:hover) { + border-color: ${Ti}; + } + + :host([appearance='outline']:active) { + border-color: ${Gt}; + } + + :host([appearance='outline']) .control { + border-color: inherit; + } + + :host([appearance="outline"]) .control:${X} { + outline-color: ${qe}; + } +`.withBehaviors(ve(F` + :host([appearance='outline']) .control { + border-color: ${D.ButtonText}; + } + :host([appearance="outline"]) .control:${X} { + forced-color-adjust: none; + background-color: ${D.Highlight}; + outline-color: ${D.ButtonText}; + color: ${D.HighlightText}; + fill: currentColor; + } + :host([appearance='outline'][href]) .control { + background: ${D.ButtonFace}; + border-color: ${D.LinkText}; + color: ${D.LinkText}; + fill: currentColor; + } + :host([appearance="outline"][href]) .control:hover, + :host([appearance="outline"][href]) .control:${X} { + forced-color-adjust: none; + outline-color: ${D.LinkText}; + } + `)),sv=F` + :host([appearance='stealth']), + :host([appearance='stealth'][disabled]:active), + :host([appearance='stealth'][disabled]:hover) { + background: transparent; + } + + :host([appearance='stealth']:hover) { + background: ${vn}; + } + + :host([appearance='stealth']:active) { + background: ${_n}; + } + + :host([appearance='stealth']) .control:${X} { + outline-color: ${qe}; + } + + /* Make the focus outline displayed within the button if + it is in a start or end slot; e.g. in a tree item + This will make the focus outline bounded within the container. + */ + :host([appearance='stealth'][slot="end"]) .control:${X}, + :host([appearance='stealth'][slot="start"]) .control:${X} { + outline-offset: -2px; + } +`.withBehaviors(ve(F` + :host([appearance='stealth']), + :host([appearance='stealth']) .control { + forced-color-adjust: none; + background: ${D.ButtonFace}; + border-color: transparent; + color: ${D.ButtonText}; + fill: currentColor; + } + + :host([appearance='stealth']:hover) .control { + background: ${D.Highlight}; + border-color: ${D.Highlight}; + color: ${D.HighlightText}; + fill: currentColor; + } + + :host([appearance="stealth"]:${X}) .control { + outline-color: ${D.Highlight}; + color: ${D.HighlightText}; + fill: currentColor; + } + + :host([appearance='stealth'][href]) .control { + color: ${D.LinkText}; + } + + :host([appearance="stealth"][href]:hover) .control, + :host([appearance="stealth"][href]:${X}) .control { + background: ${D.LinkText}; + border-color: ${D.LinkText}; + color: ${D.HighlightText}; + fill: currentColor; + } + + :host([appearance="stealth"][href]:${X}) .control { + forced-color-adjust: none; + box-shadow: 0 0 0 1px ${D.LinkText}; + } + `))});var ql,$K=b(()=>{B();oe();ye();Te();ko();ql=F` + ${we("inline-block")} :host { + font-family: ${Me}; + outline: none; + user-select: none; + /* Ensure to display focus highlight */ + margin: calc((${be} - ${de}) * 1px); + } + + .root { + box-sizing: border-box; + position: relative; + display: flex; + flex-direction: row; + color: ${fe}; + background: ${bn}; + border-radius: calc(${ge} * 1px); + border: calc(${de} * 1px) solid ${Ch}; + height: calc(${xe} * 1px); + } + + :host([aria-invalid='true']) .root { + border-color: ${$t}; + } + + .control { + -webkit-appearance: none; + font: inherit; + background: transparent; + border: 0; + color: inherit; + height: calc(100% - 4px); + width: 100%; + margin-top: auto; + margin-bottom: auto; + border: none; + padding: 0 calc(${K} * 2px + 1px); + font-size: ${ke}; + line-height: ${Fe}; + } + + .control:placeholder-shown { + text-overflow: ellipsis; + } + + .control:hover, + .control:${X}, + .control:disabled, + .control:active { + outline: none; + } + + .label { + display: block; + color: ${fe}; + cursor: pointer; + font-size: ${ke}; + line-height: ${Fe}; + margin-bottom: 4px; + } + + .label__hidden { + display: none; + visibility: hidden; + } + + .start, + .end { + margin: auto; + fill: currentcolor; + } + + ::slotted(svg) { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + width: 16px; + height: 16px; + } + + .start { + margin-inline-start: 11px; + } + + .end { + margin-inline-end: 11px; + } + + :host(:hover:not([disabled])) .root { + background: ${Mr}; + border-color: ${Ih}; + } + + :host([aria-invalid='true']:hover:not([disabled])) .root { + border-color: ${ai}; + } + + :host(:active:not([disabled])) .root { + background: ${Mr}; + border-color: ${Eh}; + } + + :host([aria-invalid='true']:active:not([disabled])) .root { + border-color: ${Mi}; + } + + :host(:focus-within:not([disabled])) .root { + border-color: ${qe}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${qe}; + } + + :host([aria-invalid='true']:focus-within:not([disabled])) .root { + border-color: ${At}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${At}; + } + + :host([appearance='filled']) .root { + background: ${Tt}; + } + + :host([appearance='filled']:hover:not([disabled])) .root { + background: ${ps}; + } + + :host([disabled]) .label, + :host([readonly]) .label, + :host([readonly]) .control, + :host([disabled]) .control { + cursor: ${mt}; + } + + :host([disabled]) { + opacity: ${wt}; + } + + :host([disabled]) .control { + border-color: ${Dr}; + } +`.withBehaviors(ve(F` + .root, + :host([appearance='filled']) .root { + forced-color-adjust: none; + background: ${D.Field}; + border-color: ${D.FieldText}; + } + :host([aria-invalid='true']) .root { + border-style: dashed; + } + :host(:hover:not([disabled])) .root, + :host([appearance='filled']:hover:not([disabled])) .root, + :host([appearance='filled']:hover) .root { + background: ${D.Field}; + border-color: ${D.Highlight}; + } + .start, + .end { + fill: currentcolor; + } + :host([disabled]) { + opacity: 1; + } + :host([disabled]) .root, + :host([appearance='filled']:hover[disabled]) .root { + border-color: ${D.GrayText}; + background: ${D.Field}; + } + :host(:focus-within:enabled) .root { + border-color: ${D.Highlight}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${D.Highlight}; + } + input::placeholder { + color: ${D.GrayText}; + } + `))});var PK=b(()=>{ES();$K()});var ms,kS,ov=b(()=>{Te();ms=class{constructor(e,t){this.cache=new WeakMap,this.ltr=e,this.rtl=t}bind(e){this.attach(e)}unbind(e){let t=this.cache.get(e);t&&xh.unsubscribe(t)}attach(e){let t=this.cache.get(e)||new kS(this.ltr,this.rtl,e),r=xh.getValueFor(e);xh.subscribe(t),t.attach(r),this.cache.set(e,t)}},kS=class{constructor(e,t,r){this.ltr=e,this.rtl=t,this.source=r,this.attached=null}handleChange({target:e,token:t}){this.attach(t.getValueFor(e))}attach(e){this.attached!==this[e]&&(this.attached!==null&&this.source.$fastController.removeStyles(this.attached),this.attached=this[e],this.attached!==null&&this.source.$fastController.addStyles(this.attached))}}});var Kt=b(()=>{ev();PK();ko();ov()});function gs(i,e){return new k1("appearance",i,e)}var TS=b(()=>{oe()});var FK,NK=b(()=>{B();Kt();TS();FK=(i,e)=>F` + ${tv} + `.withBehaviors(gs("accent",iv),gs("hypertext",LK),gs("lightweight",rv),gs("outline",nv),gs("stealth",sv))});var av,AS,MS=b(()=>{yn();B();oe();NK();av=class extends cr{appearanceChanged(e,t){this.$fastController.isConnected&&(this.classList.remove(e),this.classList.add(t))}connectedCallback(){super.connectedCallback(),this.appearance||(this.appearance="neutral")}defaultSlottedContentChanged(e,t){let r=this.defaultSlottedContent.filter(n=>n.nodeType===Node.ELEMENT_NODE);r.length===1&&r[0]instanceof SVGElement?this.control.classList.add("icon-only"):this.control.classList.remove("icon-only")}};Z([A],av.prototype,"appearance",void 0);AS=av.compose({baseName:"anchor",baseClass:cr,template:Jb,styles:FK,shadowOptions:{delegatesFocus:!0}})});var BK,zK=b(()=>{B();BK=(i,e)=>F` + :host { + contain: layout; + display: block; + } +`});var RS,DS,OS=b(()=>{oe();zK();RS=class extends We{},DS=RS.compose({baseName:"anchored-region",baseClass:We,template:NH,styles:BK})});var SSe,CSe,qK,HK=b(()=>{B();oe();Te();ov();SSe=(i,e)=>F` + ::slotted(${i.tagFor(us)}) { + left: 0; + } +`,CSe=(i,e)=>F` + ::slotted(${i.tagFor(us)}) { + right: 0; + } +`,qK=(i,e)=>F` + ${we("flex")} :host { + position: relative; + height: var(--avatar-size, var(--avatar-size-default)); + width: var(--avatar-size, var(--avatar-size-default)); + --avatar-size-default: calc( + ( + (${zn} + ${_t}) * ${K} + + ((${K} * 8) - 40) + ) * 1px + ); + --avatar-text-size: ${ke}; + --avatar-text-ratio: ${K}; + } + + .link { + text-decoration: none; + color: ${fe}; + display: flex; + flex-direction: row; + justify-content: center; + align-items: center; + min-width: 100%; + } + + .square { + border-radius: calc(${ge} * 1px); + min-width: 100%; + overflow: hidden; + } + + .circle { + border-radius: 100%; + min-width: 100%; + overflow: hidden; + } + + .backplate { + position: relative; + display: flex; + background-color: ${ut}; + } + + .media, + ::slotted(img) { + max-width: 100%; + position: absolute; + display: block; + } + + .content { + font-size: calc( + ( + var(--avatar-text-size) + + var(--avatar-size, var(--avatar-size-default)) + ) / var(--avatar-text-ratio) + ); + line-height: var(--avatar-size, var(--avatar-size-default)); + display: block; + min-height: var(--avatar-size, var(--avatar-size-default)); + } + + ::slotted(${i.tagFor(us)}) { + position: absolute; + display: block; + } + `.withBehaviors(new ms(CSe(i,e),SSe(i,e)))});var nm,ISe,LS,$S=b(()=>{yn();B();oe();HK();nm=class extends ca{};Z([A({attribute:"src"})],nm.prototype,"imgSrc",void 0);Z([A],nm.prototype,"alt",void 0);ISe=H` + ${Xe(i=>i.imgSrc,H` + ${i=>i.alt} + `)} +`,LS=nm.compose({baseName:"avatar",baseClass:ca,template:VH,styles:qK,media:ISe,shadowOptions:{delegatesFocus:!0}})});var jK,VK=b(()=>{B();oe();Te();Kt();jK=(i,e)=>F` + ${we("inline-block")} :host { + box-sizing: border-box; + font-family: ${Me}; + font-size: ${Pl}; + line-height: ${Fl}; + } + + .control { + border-radius: calc(${ge} * 1px); + padding: calc(((${K} * 0.5) - ${de}) * 1px) + calc((${K} - ${de}) * 1px); + color: ${fe}; + font-weight: 600; + border: calc(${de} * 1px) solid transparent; + background-color: ${Tt}; + } + + .control[style] { + font-weight: 400; + } + + :host([circular]) .control { + border-radius: 100px; + padding: 0 calc(${K} * 1px); + height: calc((${xe} - (${K} * 3)) * 1px); + min-width: calc((${xe} - (${K} * 3)) * 1px); + display: flex; + align-items: center; + justify-content: center; + box-sizing: border-box; + } +`});var PS,FS,NS=b(()=>{oe();VK();PS=class extends us{},FS=PS.compose({baseName:"badge",baseClass:us,template:KH,styles:jK})});var UK,WK=b(()=>{B();oe();Te();UK=(i,e)=>F` + ${we("inline-block")} :host { + box-sizing: border-box; + font-family: ${Me}; + font-size: ${ke}; + line-height: ${Fe}; + } + + .list { + display: flex; + flex-wrap: wrap; + } +`});var BS,zS,qS=b(()=>{oe();WK();BS=class extends uh{},zS=BS.compose({baseName:"breadcrumb",baseClass:uh,template:tj,styles:UK})});var GK,KK=b(()=>{B();oe();ye();Te();Kt();GK=(i,e)=>F` + ${we("inline-flex")} :host { + background: transparent; + box-sizing: border-box; + font-family: ${Me}; + font-size: ${ke}; + fill: currentColor; + line-height: ${Fe}; + min-width: calc(${xe} * 1px); + outline: none; + color: ${fe} + } + + .listitem { + display: flex; + align-items: center; + width: max-content; + } + + .separator { + margin: 0 6px; + display: flex; + } + + .control { + align-items: center; + box-sizing: border-box; + color: ${oi}; + cursor: pointer; + display: flex; + fill: inherit; + outline: none; + text-decoration: none; + white-space: nowrap; + } + + .control:hover { + color: ${_a}; + } + + .control:active { + color: ${Co}; + } + + .control .content { + position: relative; + } + + .control .content::before { + content: ""; + display: block; + height: calc(${de} * 1px); + left: 0; + position: absolute; + right: 0; + top: calc(1em + 4px); + width: 100%; + } + + .control:hover .content::before { + background: ${_a}; + } + + .control:active .content::before { + background: ${Co}; + } + + .control:${X} .content::before { + background: ${GG}; + height: calc(${be} * 1px); + } + + .control:not([href]) { + color: ${fe}; + cursor: default; + } + + .control:not([href]) .content::before { + background: none; + } + + .start, + .end { + display: flex; + } + + ::slotted(svg) { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + width: 16px; + height: 16px; + } + + .start { + margin-inline-end: 6px; + } + + .end { + margin-inline-start: 6px; + } +`.withBehaviors(ve(F` + .control:hover .content::before, + .control:${X} .content::before { + background: ${D.LinkText}; + } + .start, + .end { + fill: ${D.ButtonText}; + } + `))});var HS,jS,VS=b(()=>{oe();KK();HS=class extends yo{},jS=HS.compose({baseName:"breadcrumb-item",baseClass:yo,template:ZH,styles:GK,separator:"/",shadowOptions:{delegatesFocus:!0}})});var YK,XK=b(()=>{B();oe();ye();Te();ES();TS();YK=(i,e)=>F` + :host([disabled]), + :host([disabled]:hover), + :host([disabled]:active) { + opacity: ${wt}; + background-color: ${Tt}; + cursor: ${mt}; + } + + ${tv} + `.withBehaviors(ve(F` + :host([disabled]), + :host([disabled]) .control, + :host([disabled]:hover), + :host([disabled]:active) { + forced-color-adjust: none; + background-color: ${D.ButtonFace}; + outline-color: ${D.GrayText}; + color: ${D.GrayText}; + cursor: ${mt}; + opacity: 1; + } + `),gs("accent",F` + :host([appearance='accent'][disabled]), + :host([appearance='accent'][disabled]:hover), + :host([appearance='accent'][disabled]:active) { + background: ${ut}; + } + + ${iv} + `.withBehaviors(ve(F` + :host([appearance='accent'][disabled]) .control, + :host([appearance='accent'][disabled]) .control:hover { + background: ${D.ButtonFace}; + border-color: ${D.GrayText}; + color: ${D.GrayText}; + } + `))),gs("error",F` + :host([appearance='error'][disabled]), + :host([appearance='error'][disabled]:hover), + :host([appearance='error'][disabled]:active) { + background: ${$t}; + } + + ${OK} + `.withBehaviors(ve(F` + :host([appearance='error'][disabled]) .control, + :host([appearance='error'][disabled]) .control:hover { + background: ${D.ButtonFace}; + border-color: ${D.GrayText}; + color: ${D.GrayText}; + } + `))),gs("lightweight",F` + :host([appearance='lightweight'][disabled]:hover), + :host([appearance='lightweight'][disabled]:active) { + background-color: transparent; + color: ${oi}; + } + + :host([appearance='lightweight'][disabled]) .content::before, + :host([appearance='lightweight'][disabled]:hover) .content::before, + :host([appearance='lightweight'][disabled]:active) .content::before { + background: transparent; + } + + ${rv} + `.withBehaviors(ve(F` + :host([appearance='lightweight'].disabled) .control { + forced-color-adjust: none; + color: ${D.GrayText}; + } + + :host([appearance='lightweight'].disabled) + .control:hover + .content::before { + background: none; + } + `))),gs("outline",F` + :host([appearance='outline'][disabled]), + :host([appearance='outline'][disabled]:hover), + :host([appearance='outline'][disabled]:active) { + background: transparent; + border-color: ${ut}; + } + + ${nv} + `.withBehaviors(ve(F` + :host([appearance='outline'][disabled]) .control { + border-color: ${D.GrayText}; + } + `))),gs("stealth",F` + ${sv} + `.withBehaviors(ve(F` + :host([appearance='stealth'][disabled]) { + background: ${D.ButtonFace}; + } + + :host([appearance='stealth'][disabled]) .control { + background: ${D.ButtonFace}; + border-color: transparent; + color: ${D.GrayText}; + } + `))))});var Ah,sm,US=b(()=>{yn();B();oe();XK();Ah=class extends Xr{constructor(){super(...arguments),this.appearance="neutral"}defaultSlottedContentChanged(e,t){let r=this.defaultSlottedContent.filter(n=>n.nodeType===Node.ELEMENT_NODE);r.length===1&&(r[0]instanceof SVGElement||r[0].classList.contains("fa")||r[0].classList.contains("fas"))?this.control.classList.add("icon-only"):this.control.classList.remove("icon-only")}};Z([A],Ah.prototype,"appearance",void 0);Z([A({attribute:"minimal",mode:"boolean"})],Ah.prototype,"minimal",void 0);Z([A],Ah.prototype,"scale",void 0);sm=Ah.compose({baseName:"button",baseClass:Xr,template:sj,styles:YK,shadowOptions:{delegatesFocus:!0}})});var JK,ZK=b(()=>{B();oe();ye();Te();Kt();JK=(i,e)=>F` + ${we("block")} :host { + --elevation: 4; + display: block; + contain: content; + height: var(--card-height, 100%); + width: var(--card-width, 100%); + box-sizing: border-box; + background: ${ze}; + border-radius: calc(${ge} * 1px); + ${Vs} + } + `.withBehaviors(ve(F` + :host { + forced-color-adjust: none; + background: ${D.Canvas}; + box-shadow: 0 0 0 1px ${D.CanvasText}; + } + `))});var WS,GS,KS=b(()=>{oe();Te();ZK();WS=class extends Hp{connectedCallback(){super.connectedCallback();let e=ha(this);e&&ze.setValueFor(this,t=>im.getValueFor(t).evaluate(t,ze.getValueFor(e)))}},GS=WS.compose({baseName:"card",baseClass:Hp,template:Ij,styles:JK})});var QK,eY=b(()=>{B();oe();ye();Te();Kt();QK=(i,e)=>F` + ${we("inline-flex")} :host { + align-items: center; + outline: none; + margin: calc(${K} * 1px) 0; + /* Chromium likes to select label text or the default slot when the checkbox is + clicked. Maybe there is a better solution here? */ + user-select: none; + } + + .control { + position: relative; + width: calc((${xe} / 2 + ${K}) * 1px); + height: calc((${xe} / 2 + ${K}) * 1px); + box-sizing: border-box; + border-radius: calc(${ge} * 1px); + border: calc(${de} * 1px) solid ${Dr}; + background: ${bn}; + outline: none; + cursor: pointer; + } + + :host([aria-invalid='true']) .control { + border-color: ${$t}; + } + + .label { + font-family: ${Me}; + color: ${fe}; + /* Need to discuss with Brian how HorizontalSpacingNumber can work. + https://github.com/microsoft/fast/issues/2766 */ + padding-inline-start: calc(${K} * 2px + 2px); + margin-inline-end: calc(${K} * 2px + 2px); + cursor: pointer; + font-size: ${ke}; + line-height: ${Fe}; + } + + .label__hidden { + display: none; + visibility: hidden; + } + + .checked-indicator { + width: 100%; + height: 100%; + display: block; + fill: ${Ai}; + opacity: 0; + pointer-events: none; + } + + .indeterminate-indicator { + border-radius: calc(${ge} * 1px); + background: ${Ai}; + position: absolute; + top: 50%; + left: 50%; + width: 50%; + height: 50%; + transform: translate(-50%, -50%); + opacity: 0; + } + + :host(:not([disabled])) .control:hover { + background: ${Mr}; + border-color: ${wa}; + } + + :host(:not([disabled])) .control:active { + background: ${Io}; + border-color: ${kh}; + } + + :host([aria-invalid='true']:not([disabled])) .control:hover { + border-color: ${ai}; + } + + :host([aria-invalid='true']:not([disabled])) .control:active { + border-color: ${Mi}; + } + + :host(:${X}) .control { + outline: calc(${be} * 1px) solid ${qe}; + outline-offset: 2px; + } + + :host([aria-invalid='true']:${X}) .control { + outline-color: ${At}; + } + + :host([aria-checked='true']) .control { + background: ${ut}; + border: calc(${de} * 1px) solid ${ut}; + } + + :host([aria-checked='true']:not([disabled])) .control:hover { + background: ${Ti}; + border: calc(${de} * 1px) solid ${Ti}; + } + + :host([aria-invalid='true'][aria-checked='true']) .control { + background-color: ${$t}; + border-color: ${$t}; + } + + :host([aria-invalid='true'][aria-checked='true']:not([disabled])) + .control:hover { + background-color: ${ai}; + border-color: ${ai}; + } + + :host([aria-checked='true']:not([disabled])) + .control:hover + .checked-indicator { + fill: ${mr}; + } + + :host([aria-checked='true']:not([disabled])) + .control:hover + .indeterminate-indicator { + background: ${mr}; + } + + :host([aria-checked='true']:not([disabled])) .control:active { + background: ${Gt}; + border: calc(${de} * 1px) solid ${Gt}; + } + + :host([aria-invalid='true'][aria-checked='true']:not([disabled])) + .control:active { + background-color: ${Mi}; + border-color: ${Mi}; + } + + :host([aria-checked='true']:not([disabled])) + .control:active + .checked-indicator { + fill: ${Bi}; + } + + :host([aria-checked='true']:not([disabled])) + .control:active + .indeterminate-indicator { + background: ${Bi}; + } + + :host([aria-checked="true"]:${X}:not([disabled])) .control { + outline: calc(${be} * 1px) solid ${qe}; + outline-offset: 2px; + } + + :host([aria-invalid='true'][aria-checked="true"]:${X}:not([disabled])) .control { + outline-color: ${At}; + } + + :host([disabled]) .label, + :host([readonly]) .label, + :host([readonly]) .control, + :host([disabled]) .control { + cursor: ${mt}; + } + + :host([aria-checked='true']:not(.indeterminate)) .checked-indicator, + :host(.indeterminate) .indeterminate-indicator { + opacity: 1; + } + + :host([disabled]) { + opacity: ${wt}; + } + `.withBehaviors(ve(F` + .control { + forced-color-adjust: none; + border-color: ${D.FieldText}; + background: ${D.Field}; + } + :host([aria-invalid='true']) .control { + border-style: dashed; + } + .checked-indicator { + fill: ${D.FieldText}; + } + .indeterminate-indicator { + background: ${D.FieldText}; + } + :host(:not([disabled])) .control:hover, + .control:active { + border-color: ${D.Highlight}; + background: ${D.Field}; + } + :host(:${X}) .control { + outline: calc(${be} * 1px) solid ${D.FieldText}; + outline-offset: 2px; + } + :host([aria-checked="true"]:${X}:not([disabled])) .control { + outline: calc(${be} * 1px) solid ${D.FieldText}; + outline-offset: 2px; + } + :host([aria-checked='true']) .control { + background: ${D.Highlight}; + border-color: ${D.Highlight}; + } + :host([aria-checked='true']:not([disabled])) .control:hover, + .control:active { + border-color: ${D.Highlight}; + background: ${D.HighlightText}; + } + :host([aria-checked='true']) .checked-indicator { + fill: ${D.HighlightText}; + } + :host([aria-checked='true']:not([disabled])) + .control:hover + .checked-indicator { + fill: ${D.Highlight}; + } + :host([aria-checked='true']) .indeterminate-indicator { + background: ${D.HighlightText}; + } + :host([aria-checked='true']) .control:hover .indeterminate-indicator { + background: ${D.Highlight}; + } + :host([disabled]) { + opacity: 1; + } + :host([disabled]) .control { + forced-color-adjust: none; + border-color: ${D.GrayText}; + background: ${D.Field}; + } + :host([disabled]) .indeterminate-indicator, + :host([aria-checked='true'][disabled]) + .control:hover + .indeterminate-indicator { + forced-color-adjust: none; + background: ${D.GrayText}; + } + :host([disabled]) .checked-indicator, + :host([aria-checked='true'][disabled]) .control:hover .checked-indicator { + forced-color-adjust: none; + fill: ${D.GrayText}; + } + `))});var ESe,YS,XS,JS=b(()=>{oe();eY();B();ESe=(i,e)=>H` + +`,YS=class extends El{indeterminateChanged(e,t){this.indeterminate?this.classList.add("indeterminate"):this.classList.remove("indeterminate")}},XS=YS.compose({baseName:"checkbox",baseClass:El,template:ESe,styles:QK,checkedIndicator:` + + + + `,indeterminateIndicator:` +
+ `})});var lv,ZS=b(()=>{B();oe();ye();Te();ko();lv=(i,e)=>{let t=i.tagFor(dr),r=i.name===i.tagFor(pn)?"":".listbox";return F` + ${r?"":we("inline-flex")} + + :host ${r} { + background: ${ze}; + border: calc(${de} * 1px) solid ${Dr}; + border-radius: calc(${ge} * 1px); + box-sizing: border-box; + flex-direction: column; + padding: calc(${K} * 1px) 0; + } + + ${r?"":F` +:host(:${X}:not([disabled])) { + outline: none; + } + + :host(:focus-within:not([disabled])) { + border-color: ${zi}; + box-shadow: 0 0 0 + calc((${be} - ${de}) * 1px) + ${zi} inset; + } + + :host([disabled]) ::slotted(*) { + cursor: ${mt}; + opacity: ${wt}; + pointer-events: none; + } + `} + + ${r||":host([size])"} { + max-height: calc( + (var(--size) * ${xe} + (${K} * ${de} * 2)) * 1px + ); + overflow-y: auto; + } + + :host([size="0"]) ${r} { + max-height: none; + } + `.withBehaviors(ve(F` + :host(:not([multiple]):${X}) ::slotted(${t}[aria-selected="true"]), + :host([multiple]:${X}) ::slotted(${t}[aria-checked="true"]) { + border-color: ${D.ButtonText}; + box-shadow: 0 0 0 calc(${be} * 1px) inset ${D.HighlightText}; + } + + :host(:not([multiple]):${X}) ::slotted(${t}[aria-selected="true"]) { + background: ${D.Highlight}; + color: ${D.HighlightText}; + fill: currentcolor; + } + + ::slotted(${t}[aria-selected="true"]:not([aria-checked="true"])) { + background: ${D.Highlight}; + border-color: ${D.HighlightText}; + color: ${D.HighlightText}; + } + `))}});var uv,QS=b(()=>{B();oe();ye();Te();ZS();ev();ko();uv=(i,e)=>{let t=i.name===i.tagFor(mn);return F` + ${we("inline-flex")} + + :host { + --elevation: 14; + background: ${bn}; + border-radius: calc(${ge} * 1px); + border: calc(${de} * 1px) solid ${Ch}; + box-sizing: border-box; + color: ${fe}; + font-family: ${Me}; + height: calc(${xe} * 1px); + position: relative; + user-select: none; + min-width: 250px; + outline: none; + vertical-align: top; + } + + :host([aria-invalid='true']) { + border-color: ${$t}; + } + + :host(:not([autowidth])) { + min-width: 250px; + } + + ${t?F` + :host(:not([aria-haspopup])) { + --elevation: 0; + border: 0; + height: auto; + min-width: 0; + } + `:""} + + ${lv(i,e)} + + :host .listbox { + ${Vs} + border: none; + display: flex; + left: 0; + position: absolute; + width: 100%; + z-index: 1; + } + + .control + .listbox { + --stroke-size: calc(${K} * ${de} * 2); + max-height: calc( + (var(--listbox-max-height) * ${xe} + var(--stroke-size)) * 1px + ); + } + + ${t?F` + :host(:not([aria-haspopup])) .listbox { + left: auto; + position: static; + z-index: auto; + } + `:""} + + :host(:not([autowidth])) .listbox { + width: 100%; + } + + :host([autowidth]) ::slotted([role='option']), + :host([autowidth]) ::slotted(option) { + padding: 0 calc(1em + ${K} * 1.25px + 1px); + } + + .listbox[hidden] { + display: none; + } + + .control { + align-items: center; + box-sizing: border-box; + cursor: pointer; + display: flex; + font-size: ${ke}; + font-family: inherit; + line-height: ${Fe}; + min-height: 100%; + padding: 0 calc(${K} * 2.25px); + width: 100%; + } + + :host([minimal]), + :host([scale='xsmall']) { + --element-scale: -4; + } + + :host([scale='small']) { + --element-scale: -2; + } + + :host([scale='medium']) { + --element-scale: 0; + } + + :host([scale='large']) { + --element-scale: 2; + } + + :host([scale='xlarge']) { + --element-scale: 4; + } + + :host(:not([disabled]):hover) { + background: ${Mr}; + border-color: ${Ih}; + } + + :host([aria-invalid='true']:not([disabled]):hover) { + border-color: ${ai}; + } + + :host(:${X}) { + border-color: ${qe}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${qe}; + } + + :host([aria-invalid='true']:${X}) { + border-color: ${At}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${At}; + } + + :host(:not([size]):not([multiple]):not([open]):${X}), + :host([multiple]:${X}), + :host([size]:${X}) { + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${qe}; + } + + :host([aria-invalid='true']:not([size]):not([multiple]):not([open]):${X}), + :host([aria-invalid='true'][multiple]:${X}), + :host([aria-invalid='true'][size]:${X}) { + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${At}; + } + + :host(:not([multiple]):not([size]):${X}) ::slotted(${i.tagFor(dr)}[aria-selected="true"]:not([disabled])) { + box-shadow: 0 0 0 calc(${be} * 1px) inset ${qe}; + border-color: ${qe}; + background: ${qe}; + color: ${WG}; + } + + :host([disabled]) { + cursor: ${mt}; + opacity: ${wt}; + } + + :host([disabled]) .control { + cursor: ${mt}; + user-select: none; + } + + :host([disabled]:hover) { + background: ${Rr}; + color: ${fe}; + fill: currentcolor; + } + + :host(:not([disabled])) .control:active { + background: ${Io}; + border-color: ${Gt}; + border-radius: calc(${ge} * 1px); + } + + :host([open][position="above"]) .listbox { + border-bottom-left-radius: 0; + border-bottom-right-radius: 0; + border-bottom: 0; + bottom: calc(${xe} * 1px); + } + + :host([open][position="below"]) .listbox { + border-top-left-radius: 0; + border-top-right-radius: 0; + border-top: 0; + top: calc(${xe} * 1px); + } + + .selected-value { + flex: 1 1 auto; + font-family: inherit; + overflow: hidden; + text-align: start; + text-overflow: ellipsis; + white-space: nowrap; + } + + .indicator { + flex: 0 0 auto; + margin-inline-start: 1em; + } + + slot[name="listbox"] { + display: none; + width: 100%; + } + + :host([open]) slot[name="listbox"] { + display: flex; + position: absolute; + ${Vs} + } + + .end { + margin-inline-start: auto; + } + + .start, + .end, + .indicator, + .select-indicator, + ::slotted(svg) { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + fill: currentcolor; + height: 1em; + min-height: calc(${K} * 4px); + min-width: calc(${K} * 4px); + width: 1em; + } + + ::slotted([role="option"]), + ::slotted(option) { + flex: 0 0 auto; + } + `.withBehaviors(ve(F` + :host(:not([disabled]):hover), + :host(:not([disabled]):active) { + border-color: ${D.Highlight}; + } + + :host([aria-invalid='true']) { + border-style: dashed; + } + + :host(:not([disabled]):${X}) { + background-color: ${D.ButtonFace}; + box-shadow: 0 0 0 calc(${be} * 1px) ${D.Highlight}; + color: ${D.ButtonText}; + fill: currentcolor; + forced-color-adjust: none; + } + + :host(:not([disabled]):${X}) .listbox { + background: ${D.ButtonFace}; + } + + :host([disabled]) { + border-color: ${D.GrayText}; + background-color: ${D.ButtonFace}; + color: ${D.GrayText}; + fill: currentcolor; + opacity: 1; + forced-color-adjust: none; + } + + :host([disabled]:hover) { + background: ${D.ButtonFace}; + } + + :host([disabled]) .control { + color: ${D.GrayText}; + border-color: ${D.GrayText}; + } + + :host([disabled]) .control .select-indicator { + fill: ${D.GrayText}; + } + + :host(:${X}) ::slotted([aria-selected="true"][role="option"]), + :host(:${X}) ::slotted(option[aria-selected="true"]), + :host(:${X}) ::slotted([aria-selected="true"][role="option"]:not([disabled])) { + background: ${D.Highlight}; + border-color: ${D.ButtonText}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${D.HighlightText}; + color: ${D.HighlightText}; + fill: currentcolor; + } + + .start, + .end, + .indicator, + .select-indicator, + ::slotted(svg) { + color: ${D.ButtonText}; + fill: currentcolor; + } + `))}});var tY,iY=b(()=>{B();oe();Te();QS();tY=(i,e)=>F` + ${uv(i,e)} + + :host(:empty) .listbox { + display: none; + } + + :host([disabled]) *, + :host([disabled]) { + cursor: ${mt}; + user-select: none; + } + + :host(:focus-within:not([disabled])) { + border-color: ${qe}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${qe}; + } + + :host([aria-invalid='true']:focus-within:not([disabled])) { + border-color: ${At}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${At}; + } + + .selected-value { + -webkit-appearance: none; + background: transparent; + border: none; + color: inherit; + font-size: ${ke}; + line-height: ${Fe}; + height: calc(100% - (${de} * 1px)); + margin: auto 0; + width: 100%; + } + + 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e=Math.floor(this.maxHeight/W1.getValueFor(this)).toString();this.computedStylesheet=F` + :host { + --listbox-max-height: ${e}; + } + `,this.$fastController.addStyles(this.computedStylesheet)}};Z([A({attribute:"autowidth",mode:"boolean"})],Mh.prototype,"autoWidth",void 0);Z([A({attribute:"minimal",mode:"boolean"})],Mh.prototype,"minimal",void 0);Z([A],Mh.prototype,"scale",void 0);eC=Mh.compose({baseName:"combobox",baseClass:hs,template:$j,styles:tY,shadowOptions:{delegatesFocus:!0},indicator:` + + + + `})});var rY,nY=b(()=>{B();rY=(i,e)=>F` + :host { + display: flex; + position: relative; + flex-direction: column; + } +`});var sY,oY=b(()=>{B();Te();sY=(i,e)=>F` + :host { + display: grid; + padding: 1px 0; + box-sizing: border-box; + width: 100%; + border-bottom: calc(${de} * 1px) solid ${js}; + } + + :host(.header) { + } + + :host(.sticky-header) { + background: ${Tt}; + position: sticky; + top: 0; + } +`});var aY,lY=b(()=>{B();ye();oe();Te();aY=(i,e)=>F` + :host { + padding: calc(${K} * 1px) calc(${K} * 3px); + color: ${fe}; + box-sizing: border-box; + font-family: ${Me}; + font-size: ${ke}; + line-height: ${Fe}; + font-weight: 400; + border: transparent calc(${be} * 1px) solid; + overflow: hidden; + white-space: nowrap; + border-radius: calc(${ge} * 1px); + } + + :host(.column-header) { + font-weight: 600; + } + + :host(:${X}) { + outline: calc(${be} * 1px) solid ${qe}; + color: ${fe}; + } + `.withBehaviors(ve(F` + :host { + forced-color-adjust: none; + border-color: transparent; + background: ${D.Field}; + color: ${D.FieldText}; + } + + :host(:${X}) { + border-color: ${D.FieldText}; + box-shadow: 0 0 0 2px inset ${D.Field}; + color: ${D.FieldText}; + } + `))});var iC,sC,rC,oC,nC,aC,lC=b(()=>{oe();nY();oY();lY();iC=class extends cs{},sC=iC.compose({baseName:"data-grid-cell",baseClass:cs,template:yj,styles:aY}),rC=class extends Ei{},oC=rC.compose({baseName:"data-grid-row",baseClass:Ei,template:vj,styles:sY}),nC=class extends 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position: fixed; + top: 0; + bottom: 0; + left: 0; + right: 0; + overflow: auto; + } + + .control { + ${Vs} + margin-top: auto; + margin-bottom: auto; + width: var(--dialog-width); + height: var(--dialog-height); + background-color: ${ze}; + z-index: 1; + border-radius: calc(${ge} * 1px); + border: calc(${de} * 1px) solid transparent; + } +`});var bC,vC,_C=b(()=>{oe();gY();bC=class extends Tr{},vC=bC.compose({baseName:"dialog",baseClass:Tr,template:Vj,styles:mY})});var bY,vY=b(()=>{B();Te();bY=(i,e)=>F` + .disclosure { + transition: height 0.35s; + } + + .disclosure .invoker::-webkit-details-marker { + display: none; + } + + .disclosure .invoker { + list-style-type: none; + } + + :host([appearance='accent']) .invoker { + background: ${ut}; + color: ${Ai}; + font-family: ${Me}; + font-size: ${ke}; + border-radius: calc(${ge} * 1px); + outline: none; + cursor: pointer; + margin: 16px 0; + padding: 12px; + max-width: max-content; + } + + :host([appearance='accent']) .invoker:active { + background: ${Gt}; + color: ${Bi}; + } + + :host([appearance='accent']) .invoker:hover { + background: ${Ti}; + color: ${mr}; + } + + :host([appearance='lightweight']) .invoker { + background: transparent; + color: ${oi}; + border-bottom: calc(${de} * 1px) solid ${oi}; + cursor: pointer; + width: max-content; + margin: 16px 0; + } + + :host([appearance='lightweight']) .invoker:active { + border-bottom-color: ${Co}; + } + + :host([appearance='lightweight']) .invoker:hover { + border-bottom-color: ${_a}; + } + + .disclosure[open] .invoker ~ * { + animation: fadeIn 0.5s ease-in-out; + } + + @keyframes fadeIn { + 0% { + opacity: 0; + } + 100% { + opacity: 1; + } + } +`});var hv,yC,xC=b(()=>{yn();B();oe();vY();hv=class extends Hc{constructor(){super(...arguments),this.height=0,this.totalHeight=0}connectedCallback(){super.connectedCallback(),this.appearance||(this.appearance="accent")}appearanceChanged(e,t){e!==t&&(this.classList.add(t),this.classList.remove(e))}onToggle(){super.onToggle(),this.details.style.setProperty("height",`${this.disclosureHeight}px`)}setup(){super.setup();let e=()=>this.details.getBoundingClientRect().height;this.show(),this.totalHeight=e(),this.hide(),this.height=e(),this.expanded&&this.show()}get disclosureHeight(){return this.expanded?this.totalHeight:this.height}};Z([A],hv.prototype,"appearance",void 0);yC=hv.compose({baseName:"disclosure",baseClass:Hc,template:Qj,styles:bY})});var _Y,yY=b(()=>{B();oe();Te();_Y=(i,e)=>F` + ${we("block")} :host { + box-sizing: content-box; + height: 0; + margin: calc(${K} * 1px) 0; + border-top: calc(${de} * 1px) solid ${js}; + border-left: none; + } + + :host([orientation='vertical']) { + height: 100%; + margin: 0 calc(${K} * 1px); + border-top: none; + border-left: calc(${de} * 1px) solid ${js}; + } +`});var wC,SC,CC=b(()=>{oe();yY();wC=class extends jc{},SC=wC.compose({baseName:"divider",baseClass:jc,template:rV,styles:_Y})});var IC,EC,kC=b(()=>{B();oe();ZS();IC=class extends pn{sizeChanged(e,t){super.sizeChanged(e,t),this.updateComputedStylesheet()}updateComputedStylesheet(){this.computedStylesheet&&this.$fastController.removeStyles(this.computedStylesheet);let e=`${this.size}`;this.computedStylesheet=F` + :host { + --size: ${e}; + } + `,this.$fastController.addStyles(this.computedStylesheet)}},EC=IC.compose({baseName:"listbox",baseClass:pn,template:_V,styles:lv})});var xY,wY=b(()=>{B();oe();ye();Te();Kt();xY=(i,e)=>F` + ${we("block")} :host { + --elevation: 11; + background: ${ze}; + border: calc(${de} * 1px) solid transparent; + ${Vs} + margin: 0; + border-radius: calc(${ge} * 1px); + padding: calc(${K} * 1px) 0; + max-width: 368px; + min-width: 64px; + } + + :host([slot='submenu']) { + width: max-content; + margin: 0 calc(${K} * 1px); + } + + ::slotted(hr) { + box-sizing: content-box; + height: 0; + margin: 0; + border: none; + border-top: calc(${de} * 1px) solid ${js}; + } + `.withBehaviors(ve(F` + :host { + background: ${D.Canvas}; + border-color: ${D.CanvasText}; + } + `))});var TC,AC,MC=b(()=>{oe();Te();wY();TC=class extends fa{connectedCallback(){super.connectedCallback(),ze.setValueFor(this,wh)}},AC=TC.compose({baseName:"menu",baseClass:fa,template:NV,styles:xY})});var SY,CY=b(()=>{B();oe();ye();Te();Kt();SY=(i,e)=>F` + ${we("grid")} :host { + contain: layout; + overflow: visible; + font-family: ${Me}; + outline: none; + box-sizing: border-box; + height: calc(${xe} * 1px); + grid-template-columns: minmax(42px, auto) 1fr minmax(42px, auto); + grid-template-rows: auto; + justify-items: center; + align-items: center; + padding: 0; + margin: 0 calc(${K} * 1px); + white-space: nowrap; + background: ${Rr}; + color: ${fe}; + fill: currentcolor; + cursor: pointer; + font-size: ${ke}; + line-height: ${Fe}; + border-radius: calc(${ge} * 1px); + border: calc(${be} * 1px) solid transparent; + } + + :host(:hover) { + position: relative; + z-index: 1; + } + + :host(.indent-0) { + grid-template-columns: auto 1fr minmax(42px, auto); + } + :host(.indent-0) .content { + grid-column: 1; + grid-row: 1; + margin-inline-start: 10px; + } + :host(.indent-0) .expand-collapse-glyph-container { + grid-column: 5; + grid-row: 1; + } + :host(.indent-2) { + grid-template-columns: + minmax(42px, auto) minmax(42px, auto) 1fr minmax(42px, auto) + minmax(42px, auto); + } + :host(.indent-2) .content { + grid-column: 3; + grid-row: 1; + margin-inline-start: 10px; + } + :host(.indent-2) .expand-collapse-glyph-container { + grid-column: 5; + grid-row: 1; + } + :host(.indent-2) .start { + grid-column: 2; + } + :host(.indent-2) .end { + grid-column: 4; + } + + :host(:${X}) { + border-color: ${qe}; + background: ${Sh}; + color: ${fe}; + } + + :host(:hover) { + background: ${vn}; + color: ${fe}; + } + + :host(:active) { + background: ${_n}; + } + + :host([aria-checked='true']), + :host(.expanded) { + background: ${Tt}; + color: ${fe}; + } + + :host([disabled]) { + cursor: ${mt}; + opacity: ${wt}; + } + + :host([disabled]:hover) { + color: ${fe}; + fill: currentcolor; + background: ${Rr}; + } + + :host([disabled]:hover) .start, + :host([disabled]:hover) .end, + :host([disabled]:hover)::slotted(svg) { + fill: ${fe}; + } + + .expand-collapse-glyph { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + width: calc((16 + ${_t}) * 1px); + height: calc((16 + ${_t}) * 1px); + fill: currentcolor; + } + + .content { + grid-column-start: 2; + justify-self: start; + overflow: hidden; + text-overflow: ellipsis; + } + + .start, + .end { + display: flex; + justify-content: center; + } + + ::slotted(svg) { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + width: 16px; + height: 16px; + + /* Something like that would do if the typography is adaptive + font-size: inherit; + width: ${Nl}; + height: ${Nl}; + */ + } + + :host(:hover) .start, + :host(:hover) .end, + :host(:hover)::slotted(svg), + :host(:active) .start, + :host(:active) .end, + :host(:active)::slotted(svg) { + fill: ${fe}; + } + + :host(.indent-0[aria-haspopup='menu']) { + display: grid; + grid-template-columns: minmax(42px, auto) auto 1fr minmax(42px, auto) minmax( + 42px, + auto + ); + align-items: center; + min-height: 32px; + } + + :host(.indent-1[aria-haspopup='menu']), + :host(.indent-1[role='menuitemcheckbox']), + :host(.indent-1[role='menuitemradio']) { + display: grid; + grid-template-columns: minmax(42px, auto) auto 1fr minmax(42px, auto) minmax( + 42px, + auto + ); + align-items: center; + min-height: 32px; + } + + :host(.indent-2:not([aria-haspopup='menu'])) .end { + grid-column: 5; + } + + :host .input-container, + :host .expand-collapse-glyph-container { + display: none; + } + + :host([aria-haspopup='menu']) .expand-collapse-glyph-container, + :host([role='menuitemcheckbox']) .input-container, + :host([role='menuitemradio']) .input-container { + display: grid; + margin-inline-end: 10px; + } + + :host([aria-haspopup='menu']) .content, + :host([role='menuitemcheckbox']) .content, + :host([role='menuitemradio']) .content { + grid-column-start: 3; + } + + :host([aria-haspopup='menu'].indent-0) .content { + grid-column-start: 1; + } + + :host([aria-haspopup='menu']) .end, + :host([role='menuitemcheckbox']) .end, + :host([role='menuitemradio']) .end { + grid-column-start: 4; + } + + :host .expand-collapse, + :host .checkbox, + :host .radio { + display: flex; + align-items: center; + justify-content: center; + position: relative; + width: 20px; + height: 20px; + box-sizing: border-box; + outline: none; + margin-inline-start: 10px; + } + + :host .checkbox, + :host .radio { + border: calc(${de} * 1px) solid ${fe}; + } + + :host([aria-checked='true']) .checkbox, + :host([aria-checked='true']) .radio { + background: ${ut}; + border-color: ${ut}; + } + + :host .checkbox { + border-radius: calc(${ge} * 1px); + } + + :host .radio { + border-radius: 999px; + } + + :host .checkbox-indicator, + :host .radio-indicator, + :host .expand-collapse-indicator, + ::slotted([slot='checkbox-indicator']), + ::slotted([slot='radio-indicator']), + ::slotted([slot='expand-collapse-indicator']) { + display: none; + } + + ::slotted([slot='end']:not(svg)) { + margin-inline-end: 10px; + color: ${xa}; + } + + :host([aria-checked='true']) .checkbox-indicator, + :host([aria-checked='true']) ::slotted([slot='checkbox-indicator']) { + width: 100%; + height: 100%; + display: block; + fill: ${Ai}; + pointer-events: none; + } + + :host([aria-checked='true']) .radio-indicator { + position: absolute; + top: 4px; + left: 4px; + right: 4px; + bottom: 4px; + border-radius: 999px; + display: block; + background: ${Ai}; + pointer-events: none; + } + + :host([aria-checked='true']) ::slotted([slot='radio-indicator']) { + display: block; + pointer-events: none; + } + `.withBehaviors(ve(F` + :host { + border-color: transparent; + color: ${D.ButtonText}; + forced-color-adjust: none; + } + + :host(:hover) { + background: ${D.Highlight}; + color: ${D.HighlightText}; + } + + :host(:hover) .start, + :host(:hover) .end, + :host(:hover)::slotted(svg), + :host(:active) .start, + :host(:active) .end, + :host(:active)::slotted(svg) { + fill: ${D.HighlightText}; + } + + :host(.expanded) { + background: ${D.Highlight}; + border-color: ${D.Highlight}; + color: ${D.HighlightText}; + } + + :host(:${X}) { + background: ${D.Highlight}; + border-color: ${D.ButtonText}; + box-shadow: 0 0 0 calc(${be} * 1px) inset + ${D.HighlightText}; + color: ${D.HighlightText}; + fill: currentcolor; + } + + :host([disabled]), + :host([disabled]:hover), + :host([disabled]:hover) .start, + :host([disabled]:hover) .end, + :host([disabled]:hover)::slotted(svg) { + background: ${D.Canvas}; + color: ${D.GrayText}; + fill: currentcolor; + opacity: 1; + } + + :host .expanded-toggle, + :host .checkbox, + :host .radio { + border-color: ${D.ButtonText}; + background: ${D.HighlightText}; + } + + :host([checked='true']) .checkbox, + :host([checked='true']) .radio { + background: ${D.HighlightText}; + border-color: ${D.HighlightText}; + } + + :host(:hover) .expanded-toggle, + :host(:hover) .checkbox, + :host(:hover) .radio, + :host(:${X}) .expanded-toggle, + :host(:${X}) .checkbox, + :host(:${X}) .radio, + :host([checked="true"]:hover) .checkbox, + :host([checked="true"]:hover) .radio, + :host([checked="true"]:${X}) .checkbox, + :host([checked="true"]:${X}) .radio { + border-color: ${D.HighlightText}; + } + + :host([aria-checked='true']) { + background: ${D.Highlight}; + color: ${D.HighlightText}; + } + + :host([aria-checked='true']) .checkbox-indicator, + :host([aria-checked='true']) ::slotted([slot='checkbox-indicator']), + :host([aria-checked='true']) ::slotted([slot='radio-indicator']) { + fill: ${D.Highlight}; + } + + :host([aria-checked='true']) .radio-indicator { + background: ${D.Highlight}; + } + + ::slotted([slot='end']:not(svg)) { + color: ${D.ButtonText}; + } + + :host(:hover) ::slotted([slot="end"]:not(svg)), + :host(:${X}) ::slotted([slot="end"]:not(svg)) { + color: ${D.HighlightText}; + } + `),new ms(F` + .expand-collapse-glyph { + transform: rotate(0deg); + } + `,F` + .expand-collapse-glyph { + transform: rotate(180deg); + } + `))});var RC,DC,OC=b(()=>{oe();CY();RC=class extends fr{},DC=RC.compose({baseName:"menu-item",baseClass:fr,template:PV,styles:SY,checkboxIndicator:` + + + + `,expandCollapseGlyph:` + + + + `,radioIndicator:` + + `})});var IY,EY=b(()=>{B();Te();Kt();IY=(i,e)=>F` + ${ql} + + .controls { + opacity: 0; + margin: auto 0; + } + + .step-up-glyph, + .step-down-glyph { + display: block; + padding: calc( + (${K} + 0.5 * ${_t} + 0.5 * ${$l}) * 1px + ) + calc((2 + 2 * ${K} + ${_t} + ${$l}) * 1px); + cursor: pointer; + } + + .step-up-glyph:before, + .step-down-glyph:before { + content: ''; + display: block; + border: solid transparent + calc((2 + ${K} + 0.5 * ${_t} + 0.5 * ${$l}) * 1px); + } + + .step-up-glyph:hover:before, + .step-down-glyph:hover:before { + background-color: ${ps}; + } + + .step-up-glyph:active:before, + .step-down-glyph:active:before { + background-color: ${zl}; + } + + .step-up-glyph:before { + border-bottom-color: ${fe}; + } + + .step-down-glyph:before { + border-top-color: ${fe}; + } + + :host(:hover:not([disabled])) .controls, + :host(:focus-within:not([disabled])) .controls { + opacity: 1; + } +`});var fv,LC,$C=b(()=>{yn();B();oe();EY();fv=class extends Zi{constructor(){super(...arguments),this.appearance="outline"}};Z([A],fv.prototype,"appearance",void 0);LC=fv.compose({baseName:"number-field",baseClass:Zi,styles:IY,template:HV,shadowOptions:{delegatesFocus:!0},stepDownGlyph:` + + `,stepUpGlyph:` + + `})});var kY,TY=b(()=>{B();oe();ye();Te();ko();kY=(i,e)=>F` + ${we("inline-flex")} :host { + align-items: center; + font-family: ${Me}; + border-radius: calc(${ge} * 1px); + border: calc(${be} * 1px) solid transparent; + box-sizing: border-box; + background: ${Rr}; + color: ${fe}; + cursor: pointer; + flex: 0 0 auto; + fill: currentcolor; + font-size: ${ke}; + height: calc(${xe} * 1px); + line-height: ${Fe}; + margin: 0 calc((${K} - ${be}) * 1px); + outline: none; + overflow: hidden; + padding: 0 1ch; + user-select: none; + white-space: nowrap; + } + + :host(:not([disabled]):not([aria-selected='true']):hover) { + background: ${vn}; + } + + :host(:not([disabled]):not([aria-selected='true']):active) { + background: ${_n}; + } + + :host([aria-selected='true']) { + background: ${ut}; + color: ${Ai}; + } + + :host(:not([disabled])[aria-selected='true']:hover) { + background: ${Ti}; + color: ${mr}; + } + + :host(:not([disabled])[aria-selected='true']:active) { + background: ${Gt}; + color: ${Bi}; + } + + :host([disabled]) { + cursor: ${mt}; + opacity: ${wt}; + } + + .content { + grid-column-start: 2; + justify-self: start; + overflow: hidden; + text-overflow: ellipsis; + } + + .start, + .end, + ::slotted(svg) { + display: flex; + } + + ::slotted(svg) { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + height: calc(${K} * 4px); + width: calc(${K} * 4px); + } + + ::slotted([slot='end']) { + margin-inline-start: 1ch; + } + + ::slotted([slot='start']) { + margin-inline-end: 1ch; + } + + :host([aria-checked='true'][aria-selected='false']) { + border-color: ${zi}; + } + + :host([aria-checked='true'][aria-selected='true']) { + border-color: ${zi}; + box-shadow: 0 0 0 calc(${be} * 2 * 1px) inset + ${YG}; + } + `.withBehaviors(ve(F` + :host { + border-color: transparent; + forced-color-adjust: none; + color: ${D.ButtonText}; + fill: currentcolor; + } + + :host(:not([aria-selected='true']):hover), + :host([aria-selected='true']) { + background: ${D.Highlight}; + color: ${D.HighlightText}; + } + + :host([disabled]), + :host([disabled][aria-selected='false']:hover) { + background: ${D.Canvas}; + color: ${D.GrayText}; + fill: currentcolor; + opacity: 1; + } + + :host([aria-checked='true'][aria-selected='false']) { + background: ${D.ButtonFace}; + color: ${D.ButtonText}; + border-color: ${D.ButtonText}; + } + + :host([aria-checked='true'][aria-selected='true']), + :host([aria-checked='true'][aria-selected='true']:hover) { + background: ${D.Highlight}; + color: ${D.HighlightText}; + border-color: ${D.ButtonText}; + } + `))});var PC,FC,NC=b(()=>{oe();TY();PC=class extends dr{},FC=PC.compose({baseName:"option",baseClass:dr,template:gV,styles:kY})});var AY,MY=b(()=>{B();oe();ye();Te();AY=(i,e)=>F` + ${we("flex")} :host { + align-items: center; + outline: none; + height: calc(${K} * 1px); + margin: calc(${K} * 1px) 0; + } + + .progress { + background-color: ${Tt}; + border-radius: calc(${K} * 1px); + width: 100%; + height: 100%; + display: flex; + align-items: center; + position: relative; + } + + .determinate { + background-color: ${oi}; + border-radius: calc(${K} * 1px); + height: 100%; + transition: all 0.2s ease-in-out; + display: flex; + } + + .indeterminate { + height: 100%; + border-radius: calc(${K} * 1px); + display: flex; + width: 100%; + position: relative; + overflow: hidden; + } + + .indeterminate-indicator-1 { + position: absolute; + opacity: 0; + height: 100%; + background-color: ${oi}; + border-radius: calc(${K} * 1px); + animation-timing-function: cubic-bezier(0.4, 0, 0.6, 1); + width: 40%; + animation: indeterminate-1 2s infinite; + } + + .indeterminate-indicator-2 { + position: absolute; + opacity: 0; + height: 100%; + background-color: ${oi}; + border-radius: calc(${K} * 1px); + animation-timing-function: cubic-bezier(0.4, 0, 0.6, 1); + width: 60%; + animation: indeterminate-2 2s infinite; + } + + :host([paused]) .indeterminate-indicator-1, + :host([paused]) .indeterminate-indicator-2 { + animation-play-state: paused; + background-color: ${Tt}; + } + + :host([paused]) .determinate { + background-color: ${xa}; + } + + @keyframes indeterminate-1 { + 0% { + opacity: 1; + transform: translateX(-100%); + } + 70% { + opacity: 1; + transform: translateX(300%); + } + 70.01% { + opacity: 0; + } + 100% { + opacity: 0; + transform: translateX(300%); + } + } + + @keyframes indeterminate-2 { + 0% { + opacity: 0; + transform: translateX(-150%); + } + 29.99% { + opacity: 0; + } + 30% { + opacity: 1; + transform: translateX(-150%); + } + 100% { + transform: translateX(166.66%); + opacity: 1; + } + } + `.withBehaviors(ve(F` + .progress { + forced-color-adjust: none; + background-color: ${D.Field}; + box-shadow: 0 0 0 1px inset ${D.FieldText}; + } + .determinate, + .indeterminate-indicator-1, + .indeterminate-indicator-2 { + forced-color-adjust: none; + background-color: ${D.FieldText}; + } + :host([paused]) .determinate, + :host([paused]) .indeterminate-indicator-1, + :host([paused]) .indeterminate-indicator-2 { + background-color: ${D.GrayText}; + } + `))});var BC,zC,qC=b(()=>{oe();MY();BC=class extends Fn{},zC=BC.compose({baseName:"progress",baseClass:Fn,template:tU,styles:AY,indeterminateIndicator1:` + + `,indeterminateIndicator2:` + + `})});var RY,DY=b(()=>{B();oe();ye();Te();ko();RY=(i,e)=>F` + ${we("flex")} :host { + align-items: center; + outline: none; + height: calc(${xe} * 1px); + width: calc(${xe} * 1px); + margin: calc(${xe} * 1px) 0; + } + + .progress { + height: 100%; + width: 100%; + } + + .background { + stroke: ${Tt}; + fill: none; + stroke-width: 2px; + } + + .determinate { + stroke: ${oi}; + fill: none; + stroke-width: 2px; + stroke-linecap: round; + transform-origin: 50% 50%; + transform: rotate(-90deg); + transition: all 0.2s ease-in-out; + } + + .indeterminate-indicator-1 { + stroke: ${oi}; + fill: none; + stroke-width: 2px; + stroke-linecap: round; + transform-origin: 50% 50%; + transform: rotate(-90deg); + transition: all 0.2s ease-in-out; + animation: spin-infinite 2s linear infinite; + } + + :host([paused]) .indeterminate-indicator-1 { + animation-play-state: paused; + stroke: ${Tt}; + } + + :host([paused]) .determinate { + stroke: ${xa}; + } + + @keyframes spin-infinite { + 0% { + stroke-dasharray: 0.01px 43.97px; + transform: rotate(0deg); + } + 50% { + stroke-dasharray: 21.99px 21.99px; + transform: rotate(450deg); + } + 100% { + stroke-dasharray: 0.01px 43.97px; + transform: rotate(1080deg); + } + } + `.withBehaviors(ve(F` + .indeterminate-indicator-1, + .determinate { + stroke: ${D.FieldText}; + } + .background { + stroke: ${D.Field}; + } + :host([paused]) .indeterminate-indicator-1 { + stroke: ${D.Field}; + } + :host([paused]) .determinate { + stroke: ${D.GrayText}; + } + `))});var HC,jC,VC=b(()=>{oe();DY();HC=class extends Fn{},jC=HC.compose({baseName:"progress-ring",baseClass:Fn,template:JV,styles:RY,indeterminateIndicator:` + + + + + `})});var OY,LY=b(()=>{B();oe();ye();Te();Kt();OY=(i,e)=>F` + ${we("inline-flex")} :host { + --input-size: calc((${xe} / 2) + ${K}); + align-items: center; + outline: none; + margin: calc(${K} * 1px) 0; + /* Chromium likes to select label text or the default slot when + the radio is clicked. Maybe there is a better solution here? */ + user-select: none; + position: relative; + flex-direction: row; + transition: all 0.2s ease-in-out; + } + + .control { + position: relative; + width: calc((${xe} / 2 + ${K}) * 1px); + height: calc((${xe} / 2 + ${K}) * 1px); + box-sizing: border-box; + border-radius: 999px; + border: calc(${de} * 1px) solid ${Dr}; + background: ${bn}; + outline: none; + cursor: pointer; + } + + :host([aria-invalid='true']) .control { + border-color: ${$t}; + } + + .label { + font-family: ${Me}; + color: ${fe}; + padding-inline-start: calc(${K} * 2px + 2px); + margin-inline-end: calc(${K} * 2px + 2px); + cursor: pointer; + font-size: ${ke}; + line-height: ${Fe}; + } + + .label__hidden { + display: none; + visibility: hidden; + } + + .control, + .checked-indicator { + flex-shrink: 0; + } + + .checked-indicator { + position: absolute; + top: 5px; + left: 5px; + right: 5px; + bottom: 5px; + border-radius: 999px; + display: inline-block; + background: ${Ai}; + fill: ${Ai}; + opacity: 0; + pointer-events: none; + } + + :host(:not([disabled])) .control:hover { + background: ${Mr}; + border-color: ${wa}; + } + + :host([aria-invalid='true']:not([disabled])) .control:hover { + border-color: ${ai}; + } + + :host(:not([disabled])) .control:active { + background: ${Io}; + border-color: ${kh}; + } + + :host([aria-invalid='true']:not([disabled])) .control:active { + border-color: ${Mi}; + } + + :host(:${X}) .control { + outline: solid calc(${be} * 1px) ${qe}; + } + + :host([aria-invalid='true']:${X}) .control { + outline-color: ${At}; + } + + :host([aria-checked='true']) .control { + background: ${ut}; + border: calc(${de} * 1px) solid ${ut}; + } + + :host([aria-invalid='true'][aria-checked='true']) .control { + background-color: ${$t}; + border-color: ${$t}; + } + + :host([aria-checked='true']:not([disabled])) .control:hover { + background: ${Ti}; + border: calc(${de} * 1px) solid ${Ti}; + } + + :host([aria-invalid='true'][aria-checked='true']:not([disabled])) + .control:hover { + background-color: ${ai}; + border-color: ${ai}; + } + + :host([aria-checked='true']:not([disabled])) + .control:hover + .checked-indicator { + background: ${mr}; + fill: ${mr}; + } + + :host([aria-checked='true']:not([disabled])) .control:active { + background: ${Gt}; + border: calc(${de} * 1px) solid ${Gt}; + } + + :host([aria-invalid='true'][aria-checked='true']:not([disabled])) + .control:active { + background-color: ${Mi}; + border-color: ${Mi}; + } + + :host([aria-checked='true']:not([disabled])) + .control:active + .checked-indicator { + background: ${Bi}; + fill: ${Bi}; + } + + :host([aria-checked="true"]:${X}:not([disabled])) .control { + outline-offset: 2px; + outline: solid calc(${be} * 1px) ${qe}; + } + + :host([aria-invalid='true'][aria-checked="true"]:${X}:not([disabled])) .control { + outline-color: ${At}; + } + + :host([disabled]) .label, + :host([readonly]) .label, + :host([readonly]) .control, + :host([disabled]) .control { + cursor: ${mt}; + } + + :host([aria-checked='true']) .checked-indicator { + opacity: 1; + } + + :host([disabled]) { + opacity: ${wt}; + } + `.withBehaviors(ve(F` + .control, + :host([aria-checked='true']:not([disabled])) .control { + forced-color-adjust: none; + border-color: ${D.FieldText}; + background: ${D.Field}; + } + :host([aria-invalid='true']) { + border-style: dashed; + } + :host(:not([disabled])) .control:hover { + border-color: ${D.Highlight}; + background: ${D.Field}; + } + :host([aria-checked='true']:not([disabled])) .control:hover, + :host([aria-checked='true']:not([disabled])) .control:active { + border-color: ${D.Highlight}; + background: ${D.Highlight}; + } + :host([aria-checked='true']) .checked-indicator { + background: ${D.Highlight}; + fill: ${D.Highlight}; + } + :host([aria-checked='true']:not([disabled])) + .control:hover + .checked-indicator, + :host([aria-checked='true']:not([disabled])) + .control:active + .checked-indicator { + background: ${D.HighlightText}; + fill: ${D.HighlightText}; + } + :host(:${X}) .control { + border-color: ${D.Highlight}; + outline-offset: 2px; + outline: solid calc(${be} * 1px) ${D.FieldText}; + } + :host([aria-checked="true"]:${X}:not([disabled])) .control { + border-color: ${D.Highlight}; + outline: solid calc(${be} * 1px) ${D.FieldText}; + } + :host([disabled]) { + forced-color-adjust: none; + opacity: 1; + } + :host([disabled]) .label { + color: ${D.GrayText}; + } + :host([disabled]) .control, + :host([aria-checked='true'][disabled]) .control:hover, + .control:active { + background: ${D.Field}; + border-color: ${D.GrayText}; + } + :host([disabled]) .checked-indicator, + :host([aria-checked='true'][disabled]) .control:hover .checked-indicator { + fill: ${D.GrayText}; + background: ${D.GrayText}; + } + `))});var ASe,UC,WC,GC=b(()=>{oe();LY();B();ASe=(i,e)=>H` + +`,UC=class extends Rl{},WC=UC.compose({baseName:"radio",baseClass:Rl,template:ASe,styles:OY,checkedIndicator:` +
+ `})});var $Y,PY=b(()=>{B();oe();Te();$Y=(i,e)=>F` + ${we("flex")} :host { + align-items: flex-start; + margin: calc(${K} * 1px) 0; + flex-direction: column; + } + .positioning-region { + display: flex; + flex-wrap: wrap; + } + :host([orientation='vertical']) .positioning-region { + flex-direction: column; + } + :host([orientation='horizontal']) .positioning-region { + flex-direction: row; + } +`});var KC,YC,XC=b(()=>{oe();PY();B();KC=class extends fs{constructor(){super();let e=_e.getNotifier(this),t={handleChange(r,n){n==="slottedRadioButtons"&&r.ariaInvalidChanged()}};e.subscribe(t,"slottedRadioButtons")}ariaInvalidChanged(){this.slottedRadioButtons&&this.slottedRadioButtons.forEach(e=>{var t;e.setAttribute("aria-invalid",(t=this.getAttribute("aria-invalid"))!==null&&t!==void 0?t:"false")})}},YC=KC.compose({baseName:"radio-group",baseClass:fs,template:nU,styles:$Y})});var MSe,RSe,FY,NY=b(()=>{B();oe();Te();Kt();MSe=Pn.create("clear-button-hover").withDefault(i=>{let e=Eo.getValueFor(i),t=ya.getValueFor(i);return e.evaluate(i,t.evaluate(i).hover).hover}),RSe=Pn.create("clear-button-active").withDefault(i=>{let e=Eo.getValueFor(i),t=ya.getValueFor(i);return e.evaluate(i,t.evaluate(i).hover).active}),FY=(i,e)=>F` + ${ql} + + .control::-webkit-search-cancel-button { + -webkit-appearance: none; + } + + .control:hover, + .control:${X}, + .control:disabled, + .control:active { + outline: none; + } + + .clear-button { + height: calc(100% - 2px); + opacity: 0; + margin: 1px; + background: transparent; + color: ${fe}; + fill: currentcolor; + border: none; + border-radius: calc(${ge} * 1px); + min-width: calc(${xe} * 1px); + font-size: ${ke}; + line-height: ${Fe}; + outline: none; + font-family: ${Me}; + padding: 0 calc((10 + (${K} * 2 * ${_t})) * 1px); + } + + .clear-button:hover { + background: ${vn}; + } + + .clear-button:active { + background: ${_n}; + } + + :host([appearance='filled']) .clear-button:hover { + background: ${MSe}; + } + + :host([appearance='filled']) .clear-button:active { + background: ${RSe}; + } + + .input-wrapper { + display: flex; + position: relative; + width: 100%; + } + + .start, + .end { + display: flex; + margin: 1px; + fill: currentcolor; + } + + ::slotted([slot='end']) { + height: 100%; + } + + .end { + margin-inline-end: 1px; + height: calc(100% - 2px); + } + + ::slotted(svg) { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + width: 16px; + height: 16px; + margin-inline-end: 11px; + margin-inline-start: 11px; + margin-top: auto; + margin-bottom: auto; + } + + .clear-button__hidden { + opacity: 0; + } + + :host(:hover:not([disabled], [readOnly])) .clear-button, + :host(:active:not([disabled], [readOnly])) .clear-button, + :host(:focus-within:not([disabled], [readOnly])) .clear-button { + opacity: 1; + } + + :host(:hover:not([disabled], [readOnly])) .clear-button__hidden, + :host(:active:not([disabled], [readOnly])) .clear-button__hidden, + :host(:focus-within:not([disabled], [readOnly])) .clear-button__hidden { + opacity: 0; + } +`});var pv,JC,ZC=b(()=>{yn();B();oe();NY();pv=class extends Ar{constructor(){super(...arguments),this.appearance="outline"}};Z([A],pv.prototype,"appearance",void 0);JC=pv.compose({baseName:"search",baseClass:Ar,template:mU,styles:FY,shadowOptions:{delegatesFocus:!0}})});var Gc,QC,e6=b(()=>{yn();B();oe();Te();QS();Gc=class extends mn{constructor(){super(...arguments),this.listboxScrollWidth=""}autoWidthChanged(e,t){t?this.setAutoWidth():this.style.removeProperty("width")}setAutoWidth(){if(!this.autoWidth||!this.isConnected)return;let e=this.listbox.getBoundingClientRect().width;e===0&&this.listbox.hidden&&(Object.assign(this.listbox.style,{visibility:"hidden"}),this.listbox.removeAttribute("hidden"),e=this.listbox.getBoundingClientRect().width,this.listbox.setAttribute("hidden",""),this.listbox.style.removeProperty("visibility")),e>0&&Object.assign(this.style,{width:`${e}px`})}connectedCallback(){super.connectedCallback(),this.setAutoWidth(),this.listbox&&ze.setValueFor(this.listbox,wh)}slottedOptionsChanged(e,t){super.slottedOptionsChanged(e,t),this.setAutoWidth()}get listboxMaxHeight(){return Math.floor(this.maxHeight/W1.getValueFor(this)).toString()}listboxScrollWidthChanged(){this.updateComputedStylesheet()}get selectSize(){var e;return`${(e=this.size)!==null&&e!==void 0?e:this.multiple?4:0}`}multipleChanged(e,t){super.multipleChanged(e,t),this.updateComputedStylesheet()}maxHeightChanged(e,t){this.collapsible&&this.updateComputedStylesheet()}setPositioning(){super.setPositioning(),this.updateComputedStylesheet()}sizeChanged(e,t){if(super.sizeChanged(e,t),this.updateComputedStylesheet(),this.collapsible){requestAnimationFrame(()=>{this.listbox.style.setProperty("display","flex"),this.listbox.style.setProperty("overflow","visible"),this.listbox.style.setProperty("visibility","hidden"),this.listbox.style.setProperty("width","auto"),this.listbox.hidden=!1,this.listboxScrollWidth=`${this.listbox.scrollWidth}`,this.listbox.hidden=!0,this.listbox.style.removeProperty("display"),this.listbox.style.removeProperty("overflow"),this.listbox.style.removeProperty("visibility"),this.listbox.style.removeProperty("width")});return}this.listboxScrollWidth=""}updateComputedStylesheet(){this.computedStylesheet&&this.$fastController.removeStyles(this.computedStylesheet),this.computedStylesheet=F` + :host { + --listbox-max-height: ${this.listboxMaxHeight}; + --listbox-scroll-width: ${this.listboxScrollWidth}; + --size: ${this.selectSize}; + } + `,this.$fastController.addStyles(this.computedStylesheet)}};Z([A({attribute:"autowidth",mode:"boolean"})],Gc.prototype,"autoWidth",void 0);Z([A({attribute:"minimal",mode:"boolean"})],Gc.prototype,"minimal",void 0);Z([A],Gc.prototype,"scale",void 0);Z([P],Gc.prototype,"listboxScrollWidth",void 0);QC=Gc.compose({baseName:"select",baseClass:mn,template:wU,styles:uv,indicator:` + + + + `})});var BY,zY=b(()=>{B();oe();ye();oe();Te();BY=(i,e)=>F` + ${we("block")} :host { + --skeleton-fill-default: #e1dfdd; + overflow: hidden; + width: 100%; + position: relative; + background-color: var(--skeleton-fill, var(--skeleton-fill-default)); + --skeleton-animation-gradient-default: linear-gradient( + 270deg, + var(--skeleton-fill, var(--skeleton-fill-default)) 0%, + #f3f2f1 51.13%, + var(--skeleton-fill, var(--skeleton-fill-default)) 100% + ); + --skeleton-animation-timing-default: ease-in-out; + } + + :host([shape='rect']) { + border-radius: calc(${ge} * 1px); + } + + :host([shape='circle']) { + border-radius: 100%; + overflow: hidden; + } + + object { + position: absolute; + width: 100%; + height: auto; + z-index: 2; + } + + object img { + width: 100%; + height: auto; + } + + ${we("block")} span.shimmer { + position: absolute; + width: 100%; + height: 100%; + background-image: var( + --skeleton-animation-gradient, + var(--skeleton-animation-gradient-default) + ); + background-size: 0px 0px / 90% 100%; + background-repeat: no-repeat; + background-color: var(--skeleton-animation-fill, ${Tt}); + animation: shimmer 2s infinite; + animation-timing-function: var( + --skeleton-animation-timing, + var(--skeleton-timing-default) + ); + animation-direction: normal; + z-index: 1; + } + + ::slotted(svg) { + z-index: 2; + } + + ::slotted(.pattern) { + width: 100%; + height: 100%; + } + + @keyframes shimmer { + 0% { + transform: translateX(-100%); + } + 100% { + transform: translateX(100%); + } + } + `.withBehaviors(ve(F` + :host { + forced-color-adjust: none; + background-color: ${D.ButtonFace}; + box-shadow: 0 0 0 1px ${D.ButtonText}; + } + + ${we("block")} span.shimmer { + display: none; + } + `))});var t6,i6,r6=b(()=>{oe();zY();t6=class extends ma{},i6=t6.compose({baseName:"skeleton",baseClass:ma,template:IU,styles:BY})});var DSe,OSe,qY,HY=b(()=>{B();oe();ye();Te();Kt();DSe=F` + .track-start { + left: 0; + } +`,OSe=F` + .track-start { + right: 0; + } +`,qY=(i,e)=>F` + :host([hidden]) { + display: none; + } + + ${we("inline-grid")} :host { + --thumb-size: calc(${xe} * 0.5 - ${K}); + --thumb-translate: calc( + var(--thumb-size) * -0.5 + var(--track-width) / 2 + ); + --track-overhang: calc((${K} / 2) * -1); + --track-width: ${K}; + --jp-slider-height: calc(var(--thumb-size) * 10); + align-items: center; + width: 100%; + margin: calc(${K} * 1px) 0; + user-select: none; + box-sizing: border-box; + border-radius: calc(${ge} * 1px); + outline: none; + cursor: pointer; + } + :host([orientation='horizontal']) .positioning-region { + position: relative; + margin: 0 8px; + display: grid; + grid-template-rows: calc(var(--thumb-size) * 1px) 1fr; + } + :host([orientation='vertical']) .positioning-region { + position: relative; + margin: 0 8px; + display: grid; + height: 100%; + grid-template-columns: calc(var(--thumb-size) * 1px) 1fr; + } + + :host(:${X}) .thumb-cursor { + box-shadow: + 0 0 0 2px ${ze}, + 0 0 0 calc((2 + ${be}) * 1px) ${qe}; + } + + :host([aria-invalid='true']:${X}) .thumb-cursor { + box-shadow: + 0 0 0 2px ${ze}, + 0 0 0 calc((2 + ${be}) * 1px) ${At}; + } + + .thumb-container { + position: absolute; + height: calc(var(--thumb-size) * 1px); + width: calc(var(--thumb-size) * 1px); + transition: all 0.2s ease; + color: ${fe}; + fill: currentcolor; + } + .thumb-cursor { + border: none; + width: calc(var(--thumb-size) * 1px); + height: calc(var(--thumb-size) * 1px); + background: ${fe}; + border-radius: calc(${ge} * 1px); + } + .thumb-cursor:hover { + background: ${fe}; + border-color: ${wa}; + } + .thumb-cursor:active { + background: ${fe}; + } + .track-start { + background: ${oi}; + position: absolute; + height: 100%; + left: 0; + border-radius: calc(${ge} * 1px); + } + :host([aria-invalid='true']) .track-start { + background-color: ${$t}; + } + :host([orientation='horizontal']) .thumb-container { + transform: translateX(calc(var(--thumb-size) * 0.5px)) + translateY(calc(var(--thumb-translate) * 1px)); + } + :host([orientation='vertical']) .thumb-container { + transform: translateX(calc(var(--thumb-translate) * 1px)) + translateY(calc(var(--thumb-size) * 0.5px)); + } + :host([orientation='horizontal']) { + min-width: calc(var(--thumb-size) * 1px); + } + :host([orientation='horizontal']) .track { + right: calc(var(--track-overhang) * 1px); + left: calc(var(--track-overhang) * 1px); + align-self: start; + height: calc(var(--track-width) * 1px); + } + :host([orientation='vertical']) .track { + top: calc(var(--track-overhang) * 1px); + bottom: calc(var(--track-overhang) * 1px); + width: calc(var(--track-width) * 1px); + height: 100%; + } + .track { + background: ${Dr}; + position: absolute; + border-radius: calc(${ge} * 1px); + } + :host([orientation='vertical']) { + height: calc(var(--fast-slider-height) * 1px); + min-height: calc(var(--thumb-size) * 1px); + min-width: calc(${K} * 20px); + } + :host([orientation='vertical']) .track-start { + height: auto; + width: 100%; + top: 0; + } + :host([disabled]), + :host([readonly]) { + cursor: ${mt}; + } + :host([disabled]) { + opacity: ${wt}; + } + `.withBehaviors(new ms(DSe,OSe),ve(F` + .thumb-cursor { + forced-color-adjust: none; + border-color: ${D.FieldText}; + background: ${D.FieldText}; + } + .thumb-cursor:hover, + .thumb-cursor:active { + background: ${D.Highlight}; + } + .track { + forced-color-adjust: none; + background: ${D.FieldText}; + } + :host(:${X}) .thumb-cursor { + border-color: ${D.Highlight}; + } + :host([disabled]) { + opacity: 1; + } + :host([disabled]) .track, + :host([disabled]) .thumb-cursor { + forced-color-adjust: none; + background: ${D.GrayText}; + } + + :host(:${X}) .thumb-cursor { + background: ${D.Highlight}; + border-color: ${D.Highlight}; + box-shadow: + 0 0 0 2px ${D.Field}, + 0 0 0 4px ${D.FieldText}; + } + `))});var n6,s6,o6=b(()=>{oe();HY();n6=class extends ki{},s6=n6.compose({baseName:"slider",baseClass:ki,template:OU,styles:qY,thumb:` +
+ `})});var a6,l6,jY,VY=b(()=>{B();oe();ye();Te();Kt();a6=F` + :host { + align-self: start; + grid-row: 2; + margin-top: -2px; + height: calc((${xe} / 2 + ${K}) * 1px); + width: auto; + } + .container { + grid-template-rows: auto auto; + grid-template-columns: 0; + } + .label { + margin: 2px 0; + } +`,l6=F` + :host { + justify-self: start; + grid-column: 2; + margin-left: 2px; + height: auto; + width: calc((${xe} / 2 + ${K}) * 1px); + } + .container { + grid-template-columns: auto auto; + grid-template-rows: 0; + min-width: calc(var(--thumb-size) * 1px); + height: calc(var(--thumb-size) * 1px); + } + .mark { + transform: rotate(90deg); + align-self: center; + } + .label { + margin-left: calc((${K} / 2) * 3px); + align-self: center; + } +`,jY=(i,e)=>F` + ${we("block")} :host { + font-family: ${Me}; + color: ${fe}; + fill: currentcolor; + } + .root { + position: absolute; + display: grid; + } + .container { + display: grid; + justify-self: center; + } + .label { + justify-self: center; + align-self: center; + white-space: nowrap; + max-width: 30px; + } + .mark { + width: calc((${K} / 4) * 1px); + height: calc(${xe} * 0.25 * 1px); + background: ${Dr}; + justify-self: center; + } + :host(.disabled) { + opacity: ${wt}; + } + `.withBehaviors(ve(F` + .mark { + forced-color-adjust: none; + background: ${D.FieldText}; + } + :host(.disabled) { + forced-color-adjust: none; + opacity: 1; + } + :host(.disabled) .label { + color: ${D.GrayText}; + } + :host(.disabled) .mark { + background: ${D.GrayText}; + } + `))});var u6,c6,d6=b(()=>{oe();ye();VY();u6=class extends Nn{sliderOrientationChanged(){this.sliderOrientation===it.horizontal?(this.$fastController.addStyles(a6),this.$fastController.removeStyles(l6)):(this.$fastController.addStyles(l6),this.$fastController.removeStyles(a6))}},c6=u6.compose({baseName:"slider-label",baseClass:Nn,template:AU,styles:jY})});var UY,WY=b(()=>{B();oe();ye();Te();Kt();UY=(i,e)=>F` + :host([hidden]) { + display: none; + } + + ${we("inline-flex")} :host { + align-items: center; + outline: none; + font-family: ${Me}; + margin: calc(${K} * 1px) 0; + ${""} user-select: none; + } + + :host([disabled]) { + opacity: ${wt}; + } + + :host([disabled]) .label, + :host([readonly]) .label, + :host([readonly]) .switch, + :host([disabled]) .switch { + cursor: ${mt}; + } + + .switch { + position: relative; + outline: none; + box-sizing: border-box; + width: calc(${xe} * 1px); + height: calc((${xe} / 2 + ${K}) * 1px); + background: ${bn}; + border-radius: calc(${ge} * 1px); + border: calc(${de} * 1px) solid ${Dr}; + } + + :host([aria-invalid='true']) .switch { + border-color: ${$t}; + } + + .switch:hover { + background: ${Mr}; + border-color: ${wa}; + cursor: pointer; + } + + :host([disabled]) .switch:hover, + :host([readonly]) .switch:hover { + background: ${Mr}; + border-color: ${wa}; + cursor: ${mt}; + } + + :host([aria-invalid='true'][disabled]) .switch:hover, + :host([aria-invalid='true'][readonly]) .switch:hover { + border-color: ${ai}; + } + + :host(:not([disabled])) .switch:active { + background: ${Io}; + border-color: ${kh}; + } + + :host([aria-invalid='true']:not([disabled])) .switch:active { + border-color: ${Mi}; + } + + :host(:${X}) .switch { + outline-offset: 2px; + outline: solid calc(${be} * 1px) ${qe}; + } + + :host([aria-invalid='true']:${X}) .switch { + outline-color: ${At}; + } + + .checked-indicator { + position: absolute; + top: 5px; + bottom: 5px; + background: ${fe}; + border-radius: calc(${ge} * 1px); + transition: all 0.2s ease-in-out; + } + + .status-message { + color: ${fe}; + cursor: pointer; + font-size: ${ke}; + line-height: ${Fe}; + } + + :host([disabled]) .status-message, + :host([readonly]) .status-message { + cursor: ${mt}; + } + + .label { + color: ${fe}; + margin-inline-end: calc(${K} * 2px + 2px); + font-size: ${ke}; + line-height: ${Fe}; + cursor: pointer; + } + + .label__hidden { + display: none; + visibility: hidden; + } + + ::slotted([slot='checked-message']), + ::slotted([slot='unchecked-message']) { + margin-inline-start: calc(${K} * 2px + 2px); + } + + :host([aria-checked='true']) .checked-indicator { + background: ${Ai}; + } + + :host([aria-checked='true']) .switch { + background: ${ut}; + border-color: ${ut}; + } + + :host([aria-checked='true']:not([disabled])) .switch:hover { + background: ${Ti}; + border-color: ${Ti}; + } + + :host([aria-invalid='true'][aria-checked='true']) .switch { + background-color: ${$t}; + border-color: ${$t}; + } + + :host([aria-invalid='true'][aria-checked='true']:not([disabled])) + .switch:hover { + background-color: ${ai}; + border-color: ${ai}; + } + + :host([aria-checked='true']:not([disabled])) + .switch:hover + .checked-indicator { + background: ${mr}; + } + + :host([aria-checked='true']:not([disabled])) .switch:active { + background: ${Gt}; + border-color: ${Gt}; + } + + :host([aria-invalid='true'][aria-checked='true']:not([disabled])) + .switch:active { + background-color: ${Mi}; + border-color: ${Mi}; + } + + :host([aria-checked='true']:not([disabled])) + .switch:active + .checked-indicator { + background: ${Bi}; + } + + :host([aria-checked="true"]:${X}:not([disabled])) .switch { + outline: solid calc(${be} * 1px) ${qe}; + } + + :host([aria-invalid='true'][aria-checked="true"]:${X}:not([disabled])) .switch { + outline-color: ${At}; + } + + .unchecked-message { + display: block; + } + + .checked-message { + display: none; + } + + :host([aria-checked='true']) .unchecked-message { + display: none; + } + + :host([aria-checked='true']) .checked-message { + display: block; + } + `.withBehaviors(ve(F` + .checked-indicator, + :host(:not([disabled])) .switch:active .checked-indicator { + forced-color-adjust: none; + background: ${D.FieldText}; + } + .switch { + forced-color-adjust: none; + background: ${D.Field}; + border-color: ${D.FieldText}; + } + :host([aria-invalid='true']) .switch { + border-style: dashed; + } + :host(:not([disabled])) .switch:hover { + background: ${D.HighlightText}; + border-color: ${D.Highlight}; + } + :host([aria-checked='true']) .switch { + background: ${D.Highlight}; + border-color: ${D.Highlight}; + } + :host([aria-checked='true']:not([disabled])) .switch:hover, + :host(:not([disabled])) .switch:active { + background: ${D.HighlightText}; + border-color: ${D.Highlight}; + } + :host([aria-checked='true']) .checked-indicator { + background: ${D.HighlightText}; + } + :host([aria-checked='true']:not([disabled])) + .switch:hover + .checked-indicator { + background: ${D.Highlight}; + } + :host([disabled]) { + opacity: 1; + } + :host(:${X}) .switch { + border-color: ${D.Highlight}; + outline-offset: 2px; + outline: solid calc(${be} * 1px) ${D.FieldText}; + } + :host([aria-checked="true"]:${X}:not([disabled])) .switch { + outline: solid calc(${be} * 1px) ${D.FieldText}; + } + :host([disabled]) .checked-indicator { + background: ${D.GrayText}; + } + :host([disabled]) .switch { + background: ${D.Field}; + border-color: ${D.GrayText}; + } + `),new ms(F` + .checked-indicator { + left: 5px; + right: calc(((${xe} / 2) + 1) * 1px); + } + + :host([aria-checked='true']) .checked-indicator { + left: calc(((${xe} / 2) + 1) * 1px); + right: 5px; + } + `,F` + .checked-indicator { + right: 5px; + left: calc(((${xe} / 2) + 1) * 1px); + } + + :host([aria-checked='true']) .checked-indicator { + right: calc(((${xe} / 2) + 1) * 1px); + left: 5px; + } + `))});var h6,f6,p6=b(()=>{oe();WY();h6=class extends Vc{},f6=h6.compose({baseName:"switch",baseClass:Vc,template:NU,styles:UY,switch:` + + `})});var GY,KY=b(()=>{B();oe();Te();GY=(i,e)=>F` + ${we("block")} :host { + box-sizing: border-box; + font-size: ${ke}; + line-height: ${Fe}; + padding: 0 calc((6 + (${K} * 2 * ${_t})) * 1px); + } +`});var m6,g6,b6=b(()=>{oe();KY();m6=class extends Zp{},g6=m6.compose({baseName:"tab-panel",baseClass:Zp,template:jU,styles:GY})});var YY,XY=b(()=>{B();oe();ye();Te();ko();YY=(i,e)=>F` + ${we("inline-flex")} :host { + box-sizing: border-box; + font-family: ${Me}; + font-size: ${ke}; + line-height: ${Fe}; + height: calc(${xe} * 1px); + padding: calc(${K} * 5px) calc(${K} * 4px); + color: ${xa}; + fill: currentcolor; + border-radius: 0 0 calc(${ge} * 1px) + calc(${ge} * 1px); + border: calc(${de} * 1px) solid transparent; + align-items: center; + justify-content: center; + grid-row: 2; + cursor: pointer; + } + + :host(:hover) { + color: ${fe}; + fill: currentcolor; + } + + :host(:active) { + color: ${fe}; + fill: currentcolor; + } + + :host([disabled]) { + cursor: ${mt}; + opacity: ${wt}; + } + + :host([disabled]:hover) { + color: ${xa}; + background: ${Rr}; + } + + :host([aria-selected='true']) { + background: ${Tt}; + color: ${fe}; + fill: currentcolor; + } + + :host([aria-selected='true']:hover) { + background: ${ps}; + color: ${fe}; + fill: currentcolor; + } + + :host([aria-selected='true']:active) { + background: ${zl}; + color: ${fe}; + fill: currentcolor; + } + + :host(:${X}) { + outline: none; + border-color: ${qe}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${qe}; + } + + :host(:focus) { + outline: none; + } + + :host(.vertical) { + justify-content: end; + grid-column: 2; + border-bottom-left-radius: 0; + border-top-right-radius: calc(${ge} * 1px); + } + + :host(.vertical[aria-selected='true']) { + z-index: 2; + } + + :host(.vertical:hover) { + color: ${fe}; + } + + :host(.vertical:active) { + color: ${fe}; + } + + :host(.vertical:hover[aria-selected='true']) { + } + `.withBehaviors(ve(F` + :host { + forced-color-adjust: none; + border-color: transparent; + color: ${D.ButtonText}; + fill: currentcolor; + } + :host(:hover), + :host(.vertical:hover), + :host([aria-selected='true']:hover) { + background: ${D.Highlight}; + color: ${D.HighlightText}; + fill: currentcolor; + } + :host([aria-selected='true']) { + background: ${D.HighlightText}; + color: ${D.Highlight}; + fill: currentcolor; + } + :host(:${X}) { + border-color: ${D.ButtonText}; + box-shadow: none; + } + :host([disabled]), + :host([disabled]:hover) { + opacity: 1; + color: ${D.GrayText}; + background: ${D.ButtonFace}; + } + `))});var v6,_6,y6=b(()=>{oe();XY();v6=class extends gh{},_6=v6.compose({baseName:"tab",baseClass:gh,template:GU,styles:YY})});var JY,ZY=b(()=>{B();oe();ye();Te();Kt();JY=(i,e)=>F` + ${we("grid")} :host { + box-sizing: border-box; + font-family: ${Me}; + font-size: ${ke}; + line-height: ${Fe}; + color: ${fe}; + grid-template-columns: auto 1fr auto; + grid-template-rows: auto 1fr; + } + + .tablist { + display: grid; + grid-template-rows: auto auto; + grid-template-columns: auto; + position: relative; + width: max-content; + align-self: end; + padding: calc(${K} * 4px) calc(${K} * 4px) 0; + box-sizing: border-box; + } + + .start, + .end { + align-self: center; + } + + .activeIndicator { + grid-row: 1; + grid-column: 1; + width: 100%; + height: 4px; + justify-self: center; + background: ${ut}; + margin-top: 0; + border-radius: calc(${ge} * 1px) + calc(${ge} * 1px) 0 0; + } + + .activeIndicatorTransition { + transition: transform 0.01s ease-in-out; + } + + .tabpanel { + grid-row: 2; + grid-column-start: 1; + grid-column-end: 4; + position: relative; + } + + :host([orientation='vertical']) { + grid-template-rows: auto 1fr auto; + grid-template-columns: auto 1fr; + } + + :host([orientation='vertical']) .tablist { + grid-row-start: 2; + grid-row-end: 2; + display: grid; + grid-template-rows: auto; + grid-template-columns: auto 1fr; + position: relative; + width: max-content; + justify-self: end; + align-self: flex-start; + width: 100%; + padding: 0 calc(${K} * 4px) + calc((${xe} - ${K}) * 1px) 0; + } + + :host([orientation='vertical']) .tabpanel { + grid-column: 2; + grid-row-start: 1; + grid-row-end: 4; + } + + :host([orientation='vertical']) .end { + grid-row: 3; + } + + :host([orientation='vertical']) .activeIndicator { + grid-column: 1; + grid-row: 1; + width: 4px; + height: 100%; + margin-inline-end: 0px; + align-self: center; + background: ${ut}; + border-radius: calc(${ge} * 1px) 0 0 + calc(${ge} * 1px); + } + + :host([orientation='vertical']) .activeIndicatorTransition { + transition: transform 0.01s ease-in-out; + } + `.withBehaviors(ve(F` + .activeIndicator, + :host([orientation='vertical']) .activeIndicator { + forced-color-adjust: none; + background: ${D.Highlight}; + } + `))});var x6,w6,S6=b(()=>{oe();ZY();y6();b6();x6=class extends Bn{},w6=x6.compose({baseName:"tabs",baseClass:Bn,template:JU,styles:JY})});var QY,eX=b(()=>{B();oe();Te();Kt();QY=(i,e)=>F` + ${we("inline-block")} :host { + font-family: ${Me}; + outline: none; + user-select: none; + } + + .control { + box-sizing: border-box; + position: relative; + color: ${fe}; + background: ${bn}; + border-radius: calc(${ge} * 1px); + border: calc(${de} * 1px) solid ${Ch}; + height: calc(${xe} * 2px); + font: inherit; + font-size: ${ke}; + line-height: ${Fe}; + padding: calc(${K} * 2px + 1px); + width: 100%; + resize: none; + } + + :host([aria-invalid='true']) .control { + border-color: ${$t}; + } + + .control:hover:enabled { + background: ${Mr}; + border-color: ${Ih}; + } + + :host([aria-invalid='true']) .control:hover:enabled { + border-color: ${ai}; + } + + .control:active:enabled { + background: ${Io}; + border-color: ${Eh}; + } + + :host([aria-invalid='true']) .control:active:enabled { + border-color: ${Mi}; + } + + .control:hover, + .control:${X}, + .control:disabled, + .control:active { + outline: none; + } + + :host(:focus-within) .control { + border-color: ${qe}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${qe}; + } + + :host([aria-invalid='true']:focus-within) .control { + border-color: ${At}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${At}; + } + + :host([appearance='filled']) .control { + background: ${Tt}; + } + + :host([appearance='filled']:hover:not([disabled])) .control { + background: ${ps}; + } + + :host([resize='both']) .control { + resize: both; + } + + :host([resize='horizontal']) .control { + resize: horizontal; + } + + :host([resize='vertical']) .control { + resize: vertical; + } + + .label { + display: block; + color: ${fe}; + cursor: pointer; + font-size: ${ke}; + line-height: ${Fe}; + margin-bottom: 4px; + } + + .label__hidden { + display: none; + visibility: hidden; + } + + :host([disabled]) .label, + :host([readonly]) .label, + :host([readonly]) .control, + :host([disabled]) .control { + cursor: ${mt}; + } + :host([disabled]) { + opacity: ${wt}; + } + :host([disabled]) .control { + border-color: ${Dr}; + } + + :host([cols]) { + width: initial; + } + + :host([rows]) .control { + height: initial; + } + `.withBehaviors(ve(F` + :host([disabled]) { + opacity: 1; + } + + :host([aria-invalid='true']) .control { + border-style: dashed; + } + `))});var mv,C6,I6=b(()=>{yn();B();oe();eX();mv=class extends Ni{constructor(){super(...arguments),this.appearance="outline"}};Z([A],mv.prototype,"appearance",void 0);C6=mv.compose({baseName:"text-area",baseClass:Ni,template:nW,styles:QY,shadowOptions:{delegatesFocus:!0}})});var tX,iX=b(()=>{B();Kt();tX=(i,e)=>F` + ${ql} + + .start, + .end { + display: flex; + } +`});var gv,E6,k6=b(()=>{yn();B();oe();iX();gv=class extends pr{constructor(){super(...arguments),this.appearance="outline"}};Z([A],gv.prototype,"appearance",void 0);E6=gv.compose({baseName:"text-field",baseClass:pr,template:aW,styles:tX,shadowOptions:{delegatesFocus:!0}})});var rX,nX=b(()=>{B();oe();ye();Te();rX=(i,e)=>F` + ${we("inline-flex")} :host { + --toolbar-item-gap: calc( + (var(--design-unit) + calc(var(--density) + 2)) * 1px + ); + background-color: ${ze}; + border-radius: calc(${ge} * 1px); + fill: currentcolor; + padding: var(--toolbar-item-gap); + } + + :host(${X}) { + outline: calc(${de} * 1px) solid ${qe}; + } + + .positioning-region { + align-items: flex-start; + display: inline-flex; + flex-flow: row wrap; + justify-content: flex-start; + width: 100%; + height: 100%; + } + + :host([orientation='vertical']) .positioning-region { + flex-direction: column; + } + + ::slotted(:not([slot])) { + flex: 0 0 auto; + margin: 0 var(--toolbar-item-gap); + } + + :host([orientation='vertical']) ::slotted(:not([slot])) { + margin: var(--toolbar-item-gap) 0; + } + + .start, + .end { + display: flex; + margin: auto; + margin-inline: 0; + } + + ::slotted(svg) { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + width: 16px; + height: 16px; + } + `.withBehaviors(ve(F` + :host(:${X}) { + box-shadow: 0 0 0 calc(${be} * 1px) + ${D.Highlight}; + color: ${D.ButtonText}; + forced-color-adjust: none; + } + `))});var sX,Hn,Rh,T6,om,A6=b(()=>{yn();B();oe();ye();u1();Te();nX();sX=Object.freeze({[hn.ArrowUp]:{[it.vertical]:-1},[hn.ArrowDown]:{[it.vertical]:1},[hn.ArrowLeft]:{[it.horizontal]:{[je.ltr]:-1,[je.rtl]:1}},[hn.ArrowRight]:{[it.horizontal]:{[je.ltr]:1,[je.rtl]:-1}}}),Hn=class extends ee{constructor(){super(...arguments),this._activeIndex=0,this.direction=je.ltr,this.orientation=it.horizontal}get activeIndex(){return _e.track(this,"activeIndex"),this._activeIndex}set activeIndex(e){this.$fastController.isConnected&&(this._activeIndex=_o(0,this.focusableElements.length-1,e),_e.notify(this,"activeIndex"))}slottedItemsChanged(){this.$fastController.isConnected&&this.reduceFocusableElements()}mouseDownHandler(e){var t;let r=(t=this.focusableElements)===null||t===void 0?void 0:t.findIndex(n=>n.contains(e.target));return r>-1&&this.activeIndex!==r&&this.setFocusedElement(r),!0}childItemsChanged(e,t){this.$fastController.isConnected&&this.reduceFocusableElements()}connectedCallback(){super.connectedCallback(),this.direction=Yr(this)}focusinHandler(e){let t=e.relatedTarget;!t||this.contains(t)||this.setFocusedElement()}getDirectionalIncrementer(e){var t,r,n,s,o;return(o=(n=(r=(t=sX[e])===null||t===void 0?void 0:t[this.orientation])===null||r===void 0?void 0:r[this.direction])!==null&&n!==void 0?n:(s=sX[e])===null||s===void 0?void 0:s[this.orientation])!==null&&o!==void 0?o:0}keydownHandler(e){let t=e.key;if(!(t in hn)||e.defaultPrevented||e.shiftKey)return!0;let r=this.getDirectionalIncrementer(t);if(!r)return!e.target.closest("[role=radiogroup]");let n=this.activeIndex+r;return this.focusableElements[n]&&e.preventDefault(),this.setFocusedElement(n),!0}get allSlottedItems(){return[...this.start.assignedElements(),...this.slottedItems,...this.end.assignedElements()]}reduceFocusableElements(){var e;let t=(e=this.focusableElements)===null||e===void 0?void 0:e[this.activeIndex];this.focusableElements=this.allSlottedItems.reduce(Hn.reduceFocusableItems,[]);let r=this.focusableElements.indexOf(t);this.activeIndex=Math.max(0,r),this.setFocusableElements()}setFocusedElement(e=this.activeIndex){this.activeIndex=e,this.setFocusableElements(),this.focusableElements[this.activeIndex]&&this.contains(document.activeElement)&&this.focusableElements[this.activeIndex].focus()}static reduceFocusableItems(e,t){var r,n,s,o;let a=t.getAttribute("role")==="radio",l=(n=(r=t.$fastController)===null||r===void 0?void 0:r.definition.shadowOptions)===null||n===void 0?void 0:n.delegatesFocus,u=Array.from((o=(s=t.shadowRoot)===null||s===void 0?void 0:s.querySelectorAll("*"))!==null&&o!==void 0?o:[]).some(c=>ph(c));return!t.hasAttribute("disabled")&&!t.hasAttribute("hidden")&&(ph(t)||a||l||u)?(e.push(t),e):t.childElementCount?e.concat(Array.from(t.children).reduce(Hn.reduceFocusableItems,[])):e}setFocusableElements(){this.$fastController.isConnected&&this.focusableElements.length>0&&this.focusableElements.forEach((e,t)=>{e.tabIndex=this.activeIndex===t?0:-1})}};Z([P],Hn.prototype,"direction",void 0);Z([A],Hn.prototype,"orientation",void 0);Z([P],Hn.prototype,"slottedItems",void 0);Z([P],Hn.prototype,"slottedLabel",void 0);Z([P],Hn.prototype,"childItems",void 0);Rh=class{};Z([A({attribute:"aria-labelledby"})],Rh.prototype,"ariaLabelledby",void 0);Z([A({attribute:"aria-label"})],Rh.prototype,"ariaLabel",void 0);He(Rh,at);He(Hn,ht,Rh);T6=class extends Hn{connectedCallback(){super.connectedCallback();let e=ha(this);e&&ze.setValueFor(this,t=>im.getValueFor(t).evaluate(t,ze.getValueFor(e)))}},om=T6.compose({baseName:"toolbar",baseClass:Hn,template:cW,styles:rX,shadowOptions:{delegatesFocus:!0}})});var oX,aX=b(()=>{B();oe();Te();oX=(i,e)=>{let t=i.tagFor(We);return F` + :host { + contain: size; + overflow: visible; + height: 0; + width: 0; + } + + .tooltip { + box-sizing: border-box; + border-radius: calc(${ge} * 1px); + border: calc(${de} * 1px) solid ${zi}; + box-shadow: 0 0 0 1px ${zi} inset; + background: ${Tt}; + color: ${fe}; + padding: 4px; + height: fit-content; + width: fit-content; + font-family: ${Me}; + font-size: ${ke}; + line-height: ${Fe}; + white-space: nowrap; + /* TODO: a mechanism to manage z-index across components + https://github.com/microsoft/fast/issues/3813 */ + z-index: 10000; + } + + ${t} { + display: flex; + justify-content: center; + align-items: center; + overflow: visible; + flex-direction: row; + } + + ${t}.right, + ${t}.left { + flex-direction: column; + } + + ${t}.top .tooltip { + margin-bottom: 4px; + } + + ${t}.bottom .tooltip { + margin-top: 4px; + } + + ${t}.left .tooltip { + margin-right: 4px; + } + + ${t}.right .tooltip { + margin-left: 4px; + } + + ${t}.top.left .tooltip, + ${t}.top.right .tooltip { + margin-bottom: 0px; + } + + ${t}.bottom.left .tooltip, + ${t}.bottom.right .tooltip { + margin-top: 0px; + } + + ${t}.top.left .tooltip, + ${t}.bottom.left .tooltip { + margin-right: 0px; + } + + ${t}.top.right .tooltip, + ${t}.bottom.right .tooltip { + margin-left: 0px; + } + `.withBehaviors(ve(F` + :host([disabled]) { + opacity: 1; + } + `))}});var M6,R6,D6=b(()=>{oe();aX();M6=class extends Wt{},R6=M6.compose({baseName:"tooltip",baseClass:Wt,template:bW,styles:oX})});var Dh,LSe,$Se,PSe,FSe,lX,uX=b(()=>{B();oe();ye();Te();Kt();Dh=$p`(((${zn} + ${_t}) * 0.5 + 2) * ${K})`,LSe=F` + .expand-collapse-glyph { + transform: rotate(0deg); + } + :host(.nested) .expand-collapse-button { + left: var( + --expand-collapse-button-nested-width, + calc( + ( + ${Dh} + + ((${zn} + ${_t}) * 1.25) + ) * -1px + ) + ); + } + :host([selected])::after { + left: calc(${be} * 1px); + } + :host([expanded]) > .positioning-region .expand-collapse-glyph { + transform: rotate(90deg); + } +`,$Se=F` + .expand-collapse-glyph { + transform: rotate(180deg); + } + :host(.nested) .expand-collapse-button { + right: var( + --expand-collapse-button-nested-width, + calc( + ( + ${Dh} + + ((${zn} + ${_t}) * 1.25) + ) * -1px + ) + ); + } + :host([selected])::after { + right: calc(${be} * 1px); + } + :host([expanded]) > .positioning-region .expand-collapse-glyph { + transform: rotate(90deg); + } +`,PSe=Pn.create("tree-item-expand-collapse-hover").withDefault(i=>{let e=Eo.getValueFor(i);return e.evaluate(i,e.evaluate(i).hover).hover}),FSe=Pn.create("tree-item-expand-collapse-selected-hover").withDefault(i=>{let e=ya.getValueFor(i);return Eo.getValueFor(i).evaluate(i,e.evaluate(i).rest).hover}),lX=(i,e)=>F` + /** + * This animation exists because when tree item children are conditionally loaded + * there is a visual bug where the DOM exists but styles have not yet been applied (essentially FOUC). + * This subtle animation provides a ever so slight timing adjustment for loading that solves the issue. + */ + @keyframes treeItemLoading { + 0% { + opacity: 0; + } + 100% { + opacity: 1; + } + } + + ${we("block")} :host { + contain: content; + position: relative; + outline: none; + color: ${fe}; + background: ${Rr}; + cursor: pointer; + font-family: ${Me}; + --tree-item-nested-width: 0; + } + + :host(:focus) > .positioning-region { + outline: none; + } + + :host(:focus) .content-region { + outline: none; + } + + :host(:${X}) .positioning-region { + border-color: ${qe}; + box-shadow: 0 0 0 calc((${be} - ${de}) * 1px) + ${qe} inset; + color: ${fe}; + } + + .positioning-region { + display: flex; + position: relative; + box-sizing: border-box; + background: ${Rr}; + border: transparent calc(${de} * 1px) solid; + border-radius: calc(${ge} * 1px); + height: calc((${xe} + 1) * 1px); + } + + .positioning-region::before { + content: ''; + display: block; + width: var(--tree-item-nested-width); + flex-shrink: 0; + } + + :host(:not([disabled])) .positioning-region:hover { + background: ${vn}; + } + + :host(:not([disabled])) .positioning-region:active { + background: ${_n}; + } + + .content-region { + display: inline-flex; + align-items: center; + white-space: nowrap; + width: 100%; + min-width: 0; + height: calc(${xe} * 1px); + margin-inline-start: calc(${K} * 2px + 8px); + font-size: ${ke}; + line-height: ${Fe}; + font-weight: 400; + } + + .items { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + font-size: calc(1em + (${K} + 16) * 1px); + } + + .expand-collapse-button { + background: none; + border: none; + outline: none; + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + width: calc(${Dh} * 1px); + height: calc(${Dh} * 1px); + padding: 0; + display: flex; + justify-content: center; + align-items: center; + cursor: pointer; + margin-left: 6px; + margin-right: 6px; + } + + .expand-collapse-glyph { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + width: calc((16 + ${_t}) * 1px); + height: calc((16 + ${_t}) * 1px); + transition: transform 0.1s linear; + + pointer-events: none; + fill: currentcolor; + } + + .start, + .end { + display: flex; + fill: currentcolor; + } + + ::slotted(svg) { + /* TODO: adaptive typography https://github.com/microsoft/fast/issues/2432 */ + width: 16px; + height: 16px; + + /* Something like that would do if the typography is adaptive + font-size: inherit; + width: ${Nl}; + height: ${Nl}; + */ + } + + .start { + /* TODO: horizontalSpacing https://github.com/microsoft/fast/issues/2766 */ + margin-inline-end: calc(${K} * 2px + 2px); + } + + .end { + /* TODO: horizontalSpacing https://github.com/microsoft/fast/issues/2766 */ + margin-inline-start: calc(${K} * 2px + 2px); + } + + :host([expanded]) > .items { + animation: treeItemLoading ease-in 10ms; + animation-iteration-count: 1; + animation-fill-mode: forwards; + } + + :host([disabled]) .content-region { + opacity: ${wt}; + cursor: ${mt}; + } + + :host(.nested) .content-region { + position: relative; + /* Add left margin to collapse button size */ + margin-inline-start: calc( + ( + ${Dh} + + ((${zn} + ${_t}) * 1.25) + ) * 1px + ); + } + + :host(.nested) .expand-collapse-button { + position: absolute; + } + + :host(.nested:not([disabled])) .expand-collapse-button:hover { + background: ${PSe}; + } + + :host([selected]) .positioning-region { + background: ${Tt}; + } + + :host([selected]:not([disabled])) .positioning-region:hover { + background: ${ps}; + } + + :host([selected]:not([disabled])) .positioning-region:active { + background: ${zl}; + } + + :host([selected]:not([disabled])) .expand-collapse-button:hover { + background: ${FSe}; + } + + :host([selected])::after { + /* The background needs to be calculated based on the selected background state + for this control. We currently have no way of changing that, so setting to + accent-foreground-rest for the time being */ + background: ${oi}; + border-radius: calc(${ge} * 1px); + content: ''; + display: block; + position: absolute; + top: calc((${xe} / 4) * 1px); + width: 3px; + height: calc((${xe} / 2) * 1px); + } + + ::slotted(${i.tagFor(Lt)}) { + --tree-item-nested-width: 1em; + --expand-collapse-button-nested-width: calc( + ( + ${Dh} + + ((${zn} + ${_t}) * 1.25) + ) * -1px + ); + } + `.withBehaviors(new ms(LSe,$Se),ve(F` + :host { + forced-color-adjust: none; + border-color: transparent; + background: ${D.Field}; + color: ${D.FieldText}; + } + :host .content-region .expand-collapse-glyph { + fill: ${D.FieldText}; + } + :host .positioning-region:hover, + :host([selected]) .positioning-region { + background: ${D.Highlight}; + } + :host .positioning-region:hover .content-region, + :host([selected]) .positioning-region .content-region { + color: ${D.HighlightText}; + } + :host .positioning-region:hover .content-region .expand-collapse-glyph, + :host .positioning-region:hover .content-region .start, + :host .positioning-region:hover .content-region .end, + :host([selected]) .content-region .expand-collapse-glyph, + :host([selected]) .content-region .start, + :host([selected]) .content-region .end { + fill: ${D.HighlightText}; + } + :host([selected])::after { + background: ${D.Field}; + } + :host(:${X}) .positioning-region { + border-color: ${D.FieldText}; + box-shadow: 0 0 0 2px inset ${D.Field}; + color: ${D.FieldText}; + } + :host([disabled]) .content-region, + :host([disabled]) .positioning-region:hover .content-region { + opacity: 1; + color: ${D.GrayText}; + } + :host([disabled]) .content-region .expand-collapse-glyph, + :host([disabled]) .content-region .start, + :host([disabled]) .content-region .end, + :host([disabled]) + .positioning-region:hover + .content-region + .expand-collapse-glyph, + :host([disabled]) .positioning-region:hover .content-region .start, + :host([disabled]) .positioning-region:hover .content-region .end { + fill: ${D.GrayText}; + } + :host([disabled]) .positioning-region:hover { + background: ${D.Field}; + } + .expand-collapse-glyph, + .start, + .end { + fill: ${D.FieldText}; + } + :host(.nested) .expand-collapse-button:hover { + background: ${D.Field}; + } + :host(.nested) .expand-collapse-button:hover .expand-collapse-glyph { + fill: ${D.FieldText}; + } + `))});var O6,L6,$6=b(()=>{oe();uX();O6=class extends Lt{},L6=O6.compose({baseName:"tree-item",baseClass:Lt,template:wW,styles:lX,expandCollapseGlyph:` + + + + `})});var cX,dX=b(()=>{B();oe();cX=(i,e)=>F` + ${we("flex")} :host { + flex-direction: column; + align-items: stretch; + min-width: fit-content; + font-size: 0; + } + + :host:focus-visible { + outline: none; + } +`});var P6,F6,N6=b(()=>{oe();dX();P6=class extends Dl{handleClick(e){if(e.defaultPrevented)return;if(!(e.target instanceof Element))return!0;let t=e.target;for(;t&&!Hs(t);)t=t.parentElement,t===this&&(t=null);t&&!t.disabled&&(t.selected=!0)}},F6=P6.compose({baseName:"tree-view",baseClass:Dl,template:IW,styles:cX})});var hX,fX=b(()=>{B();Te();Kt();hX=(i,e)=>F` + .region { + z-index: 1000; + overflow: hidden; + display: flex; + font-family: ${Me}; + font-size: ${ke}; + } + + .loaded { + opacity: 1; + pointer-events: none; + } + + .loading-display, + .no-options-display { + background: ${ze}; + width: 100%; + min-height: calc(${xe} * 1px); + display: flex; + flex-direction: column; + align-items: center; + justify-items: center; + padding: calc(${K} * 1px); + } + + .loading-progress { + width: 42px; + height: 42px; + } + + .bottom { + flex-direction: column; + } + + .top { + flex-direction: column-reverse; + } +`});var pX,mX=b(()=>{B();oe();ye();Te();Kt();pX=(i,e)=>F` + :host { + background: ${ze}; + --elevation: 11; + /* TODO: a mechanism to manage z-index across components + https://github.com/microsoft/fast/issues/3813 */ + z-index: 1000; + display: flex; + width: 100%; + max-height: 100%; + min-height: 58px; + box-sizing: border-box; + flex-direction: column; + overflow-y: auto; + overflow-x: hidden; + pointer-events: auto; + border-radius: calc(${ge} * 1px); + padding: calc(${K} * 1px) 0; + border: calc(${de} * 1px) solid transparent; + ${Vs} + } + + .suggestions-available-alert { + height: 0; + opacity: 0; + overflow: hidden; + } + `.withBehaviors(ve(F` + :host { + background: ${D.Canvas}; + border-color: ${D.CanvasText}; + } + `))});var gX,bX=b(()=>{B();oe();ye();Te();Kt();gX=(i,e)=>F` + :host { + display: flex; + align-items: center; + justify-items: center; + font-family: ${Me}; + border-radius: calc(${ge} * 1px); + border: calc(${be} * 1px) solid transparent; + box-sizing: border-box; + background: ${Rr}; + color: ${fe}; + cursor: pointer; + fill: currentcolor; + font-size: ${ke}; + min-height: calc(${xe} * 1px); + line-height: ${Fe}; + margin: 0 calc(${K} * 1px); + outline: none; + overflow: hidden; + padding: 0 calc(${K} * 2.25px); + user-select: none; + white-space: nowrap; + } + + :host(:${X}[role="listitem"]) { + border-color: ${zi}; + background: ${Sh}; + } + + :host(:hover) { + background: ${vn}; + } + + :host(:active) { + background: ${_n}; + } + + :host([aria-selected='true']) { + background: ${ut}; + color: ${Ai}; + } + + :host([aria-selected='true']:hover) { + background: ${Ti}; + color: ${mr}; + } + + :host([aria-selected='true']:active) { + background: ${Gt}; + color: ${Bi}; + } + `.withBehaviors(ve(F` + :host { + border-color: transparent; + forced-color-adjust: none; + color: ${D.ButtonText}; + fill: currentcolor; + } + + :host(:not([aria-selected='true']):hover), + :host([aria-selected='true']) { + background: ${D.Highlight}; + color: ${D.HighlightText}; + } + + :host([disabled]), + :host([disabled]:not([aria-selected='true']):hover) { + background: ${D.Canvas}; + color: ${D.GrayText}; + fill: currentcolor; + opacity: 1; + } + `))});var vX,_X=b(()=>{B();oe();ye();Te();Kt();vX=(i,e)=>F` + :host { + display: flex; + flex-direction: row; + column-gap: calc(${K} * 1px); + row-gap: calc(${K} * 1px); + flex-wrap: wrap; + } + + ::slotted([role="combobox"]) { + min-width: 260px; + width: auto; + box-sizing: border-box; + color: ${fe}; + background: ${bn}; + border-radius: calc(${ge} * 1px); + border: calc(${de} * 1px) solid ${ut}; + height: calc(${xe} * 1px); + font-family: ${Me}; + outline: none; + user-select: none; + font-size: ${ke}; + line-height: ${Fe}; + padding: 0 calc(${K} * 2px + 1px); + } + + ::slotted([role="combobox"]:active) { { + background: ${Mr}; + border-color: ${Gt}; + } + + ::slotted([role="combobox"]:focus-within) { + border-color: ${zi}; + box-shadow: 0 0 0 1px ${zi} inset; + } + `.withBehaviors(ve(F` + ::slotted([role='combobox']:active) { + background: ${D.Field}; + border-color: ${D.Highlight}; + } + ::slotted([role='combobox']:focus-within) { + border-color: ${D.Highlight}; + box-shadow: 0 0 0 1px ${D.Highlight} inset; + } + ::slotted(input:placeholder) { + color: ${D.GrayText}; + } + `))});var yX,xX=b(()=>{B();oe();ye();Te();Kt();yX=(i,e)=>F` + :host { + display: flex; + align-items: center; + justify-items: center; + font-family: ${Me}; + border-radius: calc(${ge} * 1px); + border: calc(${be} * 1px) solid transparent; + box-sizing: border-box; + background: ${Rr}; + color: ${fe}; + cursor: pointer; + fill: currentcolor; + font-size: ${ke}; + height: calc(${xe} * 1px); + line-height: ${Fe}; + outline: none; + overflow: hidden; + padding: 0 calc(${K} * 2.25px); + user-select: none; + white-space: nowrap; + } + + :host(:hover) { + background: ${vn}; + } + + :host(:active) { + background: ${_n}; + } + + :host(:${X}) { + background: ${Sh}; + border-color: ${zi}; + } + + :host([aria-selected='true']) { + background: ${ut}; + color: ${Bi}; + } + `.withBehaviors(ve(F` + :host { + border-color: transparent; + forced-color-adjust: none; + color: ${D.ButtonText}; + fill: currentcolor; + } + + :host(:not([aria-selected='true']):hover), + :host([aria-selected='true']) { + background: ${D.Highlight}; + color: ${D.HighlightText}; + } + + :host([disabled]), + :host([disabled]:not([aria-selected='true']):hover) { + background: ${D.Canvas}; + color: ${D.GrayText}; + fill: currentcolor; + opacity: 1; + } + `))});var B6,V6,z6,U6,q6,W6,H6,G6,j6,K6,Y6=b(()=>{oe();Te();fX();mX();bX();_X();xX();B6=class extends rt{},V6=B6.compose({baseName:"draft-picker",baseClass:rt,template:wV,styles:hX,shadowOptions:{}}),z6=class extends Ns{connectedCallback(){ze.setValueFor(this,wh),super.connectedCallback()}},U6=z6.compose({baseName:"draft-picker-menu",baseClass:Ns,template:EV,styles:pX}),q6=class extends Bs{},W6=q6.compose({baseName:"draft-picker-menu-option",baseClass:Bs,template:TV,styles:gX}),H6=class extends Ml{},G6=H6.compose({baseName:"draft-picker-list",baseClass:Ml,template:MV,styles:vX}),j6=class extends 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className(e){this._className!==e&&(this._className=e,this._changed.emit(void 0))}get closable(){return this._closable}set closable(e){this._closable!==e&&(this._closable=e,this._changed.emit(void 0))}get dataset(){return this._dataset}set dataset(e){this._dataset!==e&&(this._dataset=e,this._changed.emit(void 0))}get isDisposed(){return this._isDisposed}dispose(){this.isDisposed||(this._isDisposed=!0,G.clearData(this))}},W=class{constructor(e={}){this._flags=0,this._layout=null,this._parent=null,this._disposed=new G(this),this._hiddenMode=W.HiddenMode.Display,this.node=Mv.createNode(e),this.addClass("lm-Widget")}dispose(){this.isDisposed||(this.setFlag(W.Flag.IsDisposed),this._disposed.emit(void 0),this.parent?this.parent=null:this.isAttached&&W.detach(this),this._layout&&(this._layout.dispose(),this._layout=null),this.title.dispose(),G.clearData(this),ae.clearData(this),Ye.clearData(this))}get disposed(){return this._disposed}get isDisposed(){return this.testFlag(W.Flag.IsDisposed)}get isAttached(){return this.testFlag(W.Flag.IsAttached)}get isHidden(){return this.testFlag(W.Flag.IsHidden)}get isVisible(){let e=this;do{if(e.isHidden||!e.isAttached)return!1;e=e.parent}while(e!=null);return!0}get title(){return Mv.titleProperty.get(this)}get id(){return this.node.id}set id(e){this.node.id=e}get dataset(){return this.node.dataset}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){this._hiddenMode!==e&&(this.isHidden&&this._toggleHidden(!1),e==W.HiddenMode.Scale?this.node.style.willChange="transform":this.node.style.willChange="auto",this._hiddenMode=e,this.isHidden&&this._toggleHidden(!0))}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(e&&this.contains(e))throw new Error("Invalid parent widget.");if(this._parent&&!this._parent.isDisposed){let t=new W.ChildMessage("child-removed",this);ae.sendMessage(this._parent,t)}if(this._parent=e,this._parent&&!this._parent.isDisposed){let t=new W.ChildMessage("child-added",this);ae.sendMessage(this._parent,t)}this.isDisposed||ae.sendMessage(this,W.Msg.ParentChanged)}}get layout(){return this._layout}set layout(e){if(this._layout!==e){if(this.testFlag(W.Flag.DisallowLayout))throw new Error("Cannot set widget layout.");if(this._layout)throw new Error("Cannot change widget layout.");if(e.parent)throw new Error("Cannot change layout parent.");this._layout=e,e.parent=this}}*children(){this._layout&&(yield*this._layout)}contains(e){for(let t=e;t;t=t._parent)if(t===this)return!0;return!1}hasClass(e){return this.node.classList.contains(e)}addClass(e){this.node.classList.add(e)}removeClass(e){this.node.classList.remove(e)}toggleClass(e,t){return t===!0?(this.node.classList.add(e),!0):t===!1?(this.node.classList.remove(e),!1):this.node.classList.toggle(e)}update(){ae.postMessage(this,W.Msg.UpdateRequest)}fit(){ae.postMessage(this,W.Msg.FitRequest)}activate(){ae.postMessage(this,W.Msg.ActivateRequest)}close(){ae.sendMessage(this,W.Msg.CloseRequest)}show(){if(this.testFlag(W.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&ae.sendMessage(this,W.Msg.BeforeShow),this.clearFlag(W.Flag.IsHidden),this._toggleHidden(!1),this.isAttached&&(!this.parent||this.parent.isVisible)&&ae.sendMessage(this,W.Msg.AfterShow),this.parent)){let e=new W.ChildMessage("child-shown",this);ae.sendMessage(this.parent,e)}}hide(){if(!this.testFlag(W.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&ae.sendMessage(this,W.Msg.BeforeHide),this.setFlag(W.Flag.IsHidden),this._toggleHidden(!0),this.isAttached&&(!this.parent||this.parent.isVisible)&&ae.sendMessage(this,W.Msg.AfterHide),this.parent)){let e=new W.ChildMessage("child-hidden",this);ae.sendMessage(this.parent,e)}}setHidden(e){e?this.hide():this.show()}testFlag(e){return(this._flags&e)!==0}setFlag(e){this._flags|=e}clearFlag(e){this._flags&=~e}processMessage(e){switch(e.type){case"resize":this.notifyLayout(e),this.onResize(e);break;case"update-request":this.notifyLayout(e),this.onUpdateRequest(e);break;case"fit-request":this.notifyLayout(e),this.onFitRequest(e);break;case"before-show":this.notifyLayout(e),this.onBeforeShow(e);break;case"after-show":this.setFlag(W.Flag.IsVisible),this.notifyLayout(e),this.onAfterShow(e);break;case"before-hide":this.notifyLayout(e),this.onBeforeHide(e);break;case"after-hide":this.clearFlag(W.Flag.IsVisible),this.notifyLayout(e),this.onAfterHide(e);break;case"before-attach":this.notifyLayout(e),this.onBeforeAttach(e);break;case"after-attach":!this.isHidden&&(!this.parent||this.parent.isVisible)&&this.setFlag(W.Flag.IsVisible),this.setFlag(W.Flag.IsAttached),this.notifyLayout(e),this.onAfterAttach(e);break;case"before-detach":this.notifyLayout(e),this.onBeforeDetach(e);break;case"after-detach":this.clearFlag(W.Flag.IsVisible),this.clearFlag(W.Flag.IsAttached),this.notifyLayout(e),this.onAfterDetach(e);break;case"activate-request":this.notifyLayout(e),this.onActivateRequest(e);break;case"close-request":this.notifyLayout(e),this.onCloseRequest(e);break;case"child-added":this.notifyLayout(e),this.onChildAdded(e);break;case"child-removed":this.notifyLayout(e),this.onChildRemoved(e);break;default:this.notifyLayout(e);break}}notifyLayout(e){this._layout&&this._layout.processParentMessage(e)}onCloseRequest(e){this.parent?this.parent=null:this.isAttached&&W.detach(this)}onResize(e){}onUpdateRequest(e){}onFitRequest(e){}onActivateRequest(e){}onBeforeShow(e){}onAfterShow(e){}onBeforeHide(e){}onAfterHide(e){}onBeforeAttach(e){}onAfterAttach(e){}onBeforeDetach(e){}onAfterDetach(e){}onChildAdded(e){}onChildRemoved(e){}_toggleHidden(e){if(e)switch(this._hiddenMode){case W.HiddenMode.Display:this.addClass("lm-mod-hidden");break;case W.HiddenMode.Scale:this.node.style.transform="scale(0)",this.node.setAttribute("aria-hidden","true");break;case W.HiddenMode.ContentVisibility:this.node.style.contentVisibility="hidden",this.node.style.zIndex="-1";break}else switch(this._hiddenMode){case W.HiddenMode.Display:this.removeClass("lm-mod-hidden");break;case W.HiddenMode.Scale:this.node.style.transform="",this.node.removeAttribute("aria-hidden");break;case W.HiddenMode.ContentVisibility:this.node.style.contentVisibility="",this.node.style.zIndex="";break}}};(function(i){(function(s){s[s.Display=0]="Display",s[s.Scale=1]="Scale",s[s.ContentVisibility=2]="ContentVisibility"})(i.HiddenMode||(i.HiddenMode={})),function(s){s[s.IsDisposed=1]="IsDisposed",s[s.IsAttached=2]="IsAttached",s[s.IsHidden=4]="IsHidden",s[s.IsVisible=8]="IsVisible",s[s.DisallowLayout=16]="DisallowLayout"}(i.Flag||(i.Flag={})),function(s){s.BeforeShow=new Zr("before-show"),s.AfterShow=new Zr("after-show"),s.BeforeHide=new Zr("before-hide"),s.AfterHide=new Zr("after-hide"),s.BeforeAttach=new Zr("before-attach"),s.AfterAttach=new Zr("after-attach"),s.BeforeDetach=new Zr("before-detach"),s.AfterDetach=new Zr("after-detach"),s.ParentChanged=new Zr("parent-changed"),s.UpdateRequest=new Bu("update-request"),s.FitRequest=new Bu("fit-request"),s.ActivateRequest=new Bu("activate-request"),s.CloseRequest=new Bu("close-request")}(i.Msg||(i.Msg={}));class e extends Zr{constructor(o,a){super(o),this.child=a}}i.ChildMessage=e;class t extends Zr{constructor(o,a){super("resize"),this.width=o,this.height=a}}i.ResizeMessage=t,function(s){s.UnknownSize=new s(-1,-1)}(t=i.ResizeMessage||(i.ResizeMessage={}));function r(s,o,a=null){if(s.parent)throw new Error("Cannot attach a child widget.");if(s.isAttached||s.node.isConnected)throw new Error("Widget is already attached.");if(!o.isConnected)throw new Error("Host is not attached.");ae.sendMessage(s,i.Msg.BeforeAttach),o.insertBefore(s.node,a),ae.sendMessage(s,i.Msg.AfterAttach)}i.attach=r;function n(s){if(s.parent)throw new Error("Cannot detach a child widget.");if(!s.isAttached||!s.node.isConnected)throw new Error("Widget is not attached.");ae.sendMessage(s,i.Msg.BeforeDetach),s.node.parentNode.removeChild(s.node),ae.sendMessage(s,i.Msg.AfterDetach)}i.detach=n})(W||(W={}));(function(i){i.titleProperty=new Ye({name:"title",create:t=>new cm({owner:t})});function e(t){return t.node||document.createElement(t.tag||"div")}i.createNode=e})(Mv||(Mv={}));Oo=class{constructor(e={}){this._disposed=!1,this._parent=null,this._fitPolicy=e.fitPolicy||"set-min-size"}dispose(){this._parent=null,this._disposed=!0,G.clearData(this),Ye.clearData(this)}get isDisposed(){return this._disposed}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(this._parent)throw new Error("Cannot change parent widget.");if(e.layout!==this)throw new Error("Invalid parent widget.");this._parent=e,this.init()}}get fitPolicy(){return this._fitPolicy}set fitPolicy(e){if(this._fitPolicy!==e&&(this._fitPolicy=e,this._parent)){let t=this._parent.node.style;t.minWidth="",t.minHeight="",t.maxWidth="",t.maxHeight="",this._parent.fit()}}processParentMessage(e){switch(e.type){case"resize":this.onResize(e);break;case"update-request":this.onUpdateRequest(e);break;case"fit-request":this.onFitRequest(e);break;case"before-show":this.onBeforeShow(e);break;case"after-show":this.onAfterShow(e);break;case"before-hide":this.onBeforeHide(e);break;case"after-hide":this.onAfterHide(e);break;case"before-attach":this.onBeforeAttach(e);break;case"after-attach":this.onAfterAttach(e);break;case"before-detach":this.onBeforeDetach(e);break;case"after-detach":this.onAfterDetach(e);break;case"child-removed":this.onChildRemoved(e);break;case"child-shown":this.onChildShown(e);break;case"child-hidden":this.onChildHidden(e);break}}init(){for(let e of this)e.parent=this.parent}onResize(e){for(let t of this)ae.sendMessage(t,W.ResizeMessage.UnknownSize)}onUpdateRequest(e){for(let t of this)ae.sendMessage(t,W.ResizeMessage.UnknownSize)}onBeforeAttach(e){for(let t of this)ae.sendMessage(t,e)}onAfterAttach(e){for(let t of this)ae.sendMessage(t,e)}onBeforeDetach(e){for(let t of this)ae.sendMessage(t,e)}onAfterDetach(e){for(let t of this)ae.sendMessage(t,e)}onBeforeShow(e){for(let t of this)t.isHidden||ae.sendMessage(t,e)}onAfterShow(e){for(let t of this)t.isHidden||ae.sendMessage(t,e)}onBeforeHide(e){for(let t of this)t.isHidden||ae.sendMessage(t,e)}onAfterHide(e){for(let t of this)t.isHidden||ae.sendMessage(t,e)}onChildRemoved(e){this.removeWidget(e.child)}onFitRequest(e){}onChildShown(e){}onChildHidden(e){}};(function(i){function e(s){return Ph.horizontalAlignmentProperty.get(s)}i.getHorizontalAlignment=e;function t(s,o){Ph.horizontalAlignmentProperty.set(s,o)}i.setHorizontalAlignment=t;function r(s){return Ph.verticalAlignmentProperty.get(s)}i.getVerticalAlignment=r;function n(s,o){Ph.verticalAlignmentProperty.set(s,o)}i.setVerticalAlignment=n})(Oo||(Oo={}));Xc=class{constructor(e){this._top=NaN,this._left=NaN,this._width=NaN,this._height=NaN,this._minWidth=0,this._minHeight=0,this._maxWidth=1/0,this._maxHeight=1/0,this._disposed=!1,this.widget=e,this.widget.node.style.position="absolute",this.widget.node.style.contain="strict"}dispose(){if(this._disposed)return;this._disposed=!0;let e=this.widget.node.style;e.position="",e.top="",e.left="",e.width="",e.height="",e.contain=""}get minWidth(){return this._minWidth}get minHeight(){return this._minHeight}get maxWidth(){return this._maxWidth}get maxHeight(){return this._maxHeight}get isDisposed(){return this._disposed}get isHidden(){return this.widget.isHidden}get isVisible(){return this.widget.isVisible}get isAttached(){return this.widget.isAttached}fit(){let e=he.sizeLimits(this.widget.node);this._minWidth=e.minWidth,this._minHeight=e.minHeight,this._maxWidth=e.maxWidth,this._maxHeight=e.maxHeight}update(e,t,r,n){let s=Math.max(this._minWidth,Math.min(r,this._maxWidth)),o=Math.max(this._minHeight,Math.min(n,this._maxHeight));if(s"center",changed:e}),i.verticalAlignmentProperty=new Ye({name:"verticalAlignment",create:()=>"top",changed:e});function e(t){t.parent&&t.parent.layout&&t.parent.update()}})(Ph||(Ph={}));Aa=class extends Oo{constructor(){super(...arguments),this._widgets=[]}dispose(){for(;this._widgets.length>0;)this._widgets.pop().dispose();super.dispose()}get widgets(){return this._widgets}*[Symbol.iterator](){yield*this._widgets}addWidget(e){this.insertWidget(this._widgets.length,e)}insertWidget(e,t){t.parent=this.parent;let r=this._widgets.indexOf(t),n=Math.max(0,Math.min(e,this._widgets.length));if(r===-1){L.insert(this._widgets,n,t),this.parent&&this.attachWidget(n,t);return}n===this._widgets.length&&n--,r!==n&&(L.move(this._widgets,r,n),this.parent&&this.moveWidget(r,n,t))}removeWidget(e){this.removeWidgetAt(this._widgets.indexOf(e))}removeWidgetAt(e){let t=L.removeAt(this._widgets,e);t&&this.parent&&this.detachWidget(e,t)}init(){super.init();let e=0;for(let t of this)this.attachWidget(e++,t)}attachWidget(e,t){let r=this.parent.node.children[e];this.parent.isAttached&&ae.sendMessage(t,W.Msg.BeforeAttach),this.parent.node.insertBefore(t.node,r),this.parent.isAttached&&ae.sendMessage(t,W.Msg.AfterAttach)}moveWidget(e,t,r){this.parent.isAttached&&ae.sendMessage(r,W.Msg.BeforeDetach),this.parent.node.removeChild(r.node),this.parent.isAttached&&ae.sendMessage(r,W.Msg.AfterDetach);let n=this.parent.node.children[t];this.parent.isAttached&&ae.sendMessage(r,W.Msg.BeforeAttach),this.parent.node.insertBefore(r.node,n),this.parent.isAttached&&ae.sendMessage(r,W.Msg.AfterAttach)}detachWidget(e,t){this.parent.isAttached&&ae.sendMessage(t,W.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&ae.sendMessage(t,W.Msg.AfterDetach)}};(function(i){function e(t){return Math.max(0,Math.floor(t))}i.clampDimension=e})(dm||(dm={}));hm=dm,Ws=class extends Aa{constructor(e){super(),this.widgetOffset=0,this._fixed=0,this._spacing=4,this._dirty=!1,this._hasNormedSizes=!1,this._sizers=[],this._items=[],this._handles=[],this._box=null,this._alignment="start",this._orientation="horizontal",this.renderer=e.renderer,e.orientation!==void 0&&(this._orientation=e.orientation),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=dm.clampDimension(e.spacing))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,this._handles.length=0,super.dispose()}get orientation(){return this._orientation}set orientation(e){this._orientation!==e&&(this._orientation=e,this.parent&&(this.parent.dataset.orientation=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=dm.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get handles(){return this._handles}absoluteSizes(){return this._sizers.map(e=>e.size)}relativeSizes(){return Ea.normalize(this._sizers.map(e=>e.size))}setRelativeSizes(e,t=!0){let r=this._sizers.length,n=e.slice(0,r);for(;n.length0&&(s.sizeHint=s.size);jn.adjust(this._sizers,e,n),this.parent&&this.parent.update()}}init(){this.parent.dataset.orientation=this.orientation,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){let r=new Xc(t),n=Ea.createHandle(this.renderer),s=Ea.averageSize(this._sizers),o=Ea.createSizer(s);L.insert(this._items,e,r),L.insert(this._sizers,e,o),L.insert(this._handles,e,n),this.parent.isAttached&&ae.sendMessage(t,W.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.node.appendChild(n),this.parent.isAttached&&ae.sendMessage(t,W.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){L.move(this._items,e,t),L.move(this._sizers,e,t),L.move(this._handles,e,t),this.parent.fit()}detachWidget(e,t){let r=L.removeAt(this._items,e),n=L.removeAt(this._handles,e);L.removeAt(this._sizers,e),this.parent.isAttached&&ae.sendMessage(t,W.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.node.removeChild(n),this.parent.isAttached&&ae.sendMessage(t,W.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}updateItemPosition(e,t,r,n,s,o,a){let l=this._items[e];if(l.isHidden)return;let u=this._handles[e].style;t?(r+=this.widgetOffset,l.update(r,n,a,s),r+=a,u.top=`${n}px`,u.left=`${r}px`,u.width=`${this._spacing}px`,u.height=`${s}px`):(n+=this.widgetOffset,l.update(r,n,o,a),n+=a,u.top=`${n}px`,u.left=`${r}px`,u.width=`${o}px`,u.height=`${this._spacing}px`)}_fit(){let e=0,t=-1;for(let l=0,u=this._items.length;l0&&(d.sizeHint=d.size),c.isHidden){d.minSize=0,d.maxSize=0;continue}c.fit(),d.stretch=Ws.getStretch(c.widget),r?(d.minSize=c.minWidth,d.maxSize=c.maxWidth,n+=c.minWidth,s=Math.max(s,c.minHeight)):(d.minSize=c.minHeight,d.maxSize=c.maxHeight,s+=c.minHeight,n=Math.max(n,c.minWidth))}let o=this._box=he.boxSizing(this.parent.node);n+=o.horizontalSum,s+=o.verticalSum;let a=this.parent.node.style;a.minWidth=`${n}px`,a.minHeight=`${s}px`,this._dirty=!0,this.parent.parent&&ae.sendMessage(this.parent.parent,W.Msg.FitRequest),this._dirty&&ae.sendMessage(this.parent,W.Msg.UpdateRequest)}_update(e,t){this._dirty=!1;let r=0;for(let d=0,h=this._items.length;d0){let d;if(c?d=Math.max(0,o-this._fixed):d=Math.max(0,a-this._fixed),this._hasNormedSizes){for(let f of this._sizers)f.sizeHint*=d;this._hasNormedSizes=!1}let h=jn.calc(this._sizers,d);if(h>0)switch(this._alignment){case"start":break;case"center":l=0,u=h/2;break;case"end":l=0,u=h;break;case"justify":l=h/r,u=0;break;default:throw"unreachable"}}for(let d=0,h=this._items.length;d0,coerce:(o,a)=>Math.max(0,Math.floor(a)),changed:s});function e(o){let a=new Ro;return a.sizeHint=Math.floor(o),a}i.createSizer=e;function t(o){let a=o.createHandle();return a.style.position="absolute",a.style.contain="style",a}i.createHandle=t;function r(o){return o.reduce((a,l)=>a+l.size,0)/o.length||0}i.averageSize=r;function n(o){let a=o.length;if(a===0)return[];let l=o.reduce((u,c)=>u+Math.abs(c),0);return l===0?o.map(u=>1/a):o.map(u=>u/l)}i.normalize=n;function s(o){o.parent&&o.parent.layout instanceof Ws&&o.parent.fit()}})(Ea||(Ea={}));u4=class extends Ws{constructor(e){super({...e,orientation:e.orientation||"vertical"}),this._titles=[],this.titleSpace=e.titleSpace||22}get titleSpace(){return this.widgetOffset}set titleSpace(e){e=hm.clampDimension(e),this.widgetOffset!==e&&(this.widgetOffset=e,this.parent&&this.parent.fit())}get titles(){return this._titles}dispose(){this.isDisposed||(this._titles.length=0,super.dispose())}updateTitle(e,t){let r=this._titles[e],n=r.classList.contains("lm-mod-expanded"),s=Rv.createTitle(this.renderer,t.title,n);this._titles[e]=s,this.parent.node.replaceChild(s,r)}insertWidget(e,t){t.id||(t.id=`id-${Ta.UUID.uuid4()}`),super.insertWidget(e,t)}attachWidget(e,t){let r=Rv.createTitle(this.renderer,t.title);L.insert(this._titles,e,r),this.parent.node.appendChild(r),t.node.setAttribute("role","region"),t.node.setAttribute("aria-labelledby",r.id),super.attachWidget(e,t)}moveWidget(e,t,r){L.move(this._titles,e,t),super.moveWidget(e,t,r)}detachWidget(e,t){let r=L.removeAt(this._titles,e);this.parent.node.removeChild(r),super.detachWidget(e,t)}updateItemPosition(e,t,r,n,s,o,a){let l=this._titles[e].style;l.top=`${n}px`,l.left=`${r}px`,l.height=`${this.widgetOffset}px`,t?l.width=`${s}px`:l.width=`${o}px`,super.updateItemPosition(e,t,r,n,s,o,a)}};(function(i){function e(t,r,n=!0){let s=t.createSectionTitle(r);return s.style.position="absolute",s.style.contain="strict",s.setAttribute("aria-label",`${r.label} Section`),s.setAttribute("aria-expanded",n?"true":"false"),s.setAttribute("aria-controls",r.owner.id),n&&s.classList.add("lm-mod-expanded"),s}i.createTitle=e})(Rv||(Rv={}));fm=class extends W{constructor(e={}){super(),this.addClass("lm-Panel"),this.layout=c4.createLayout(e)}get widgets(){return this.layout.widgets}addWidget(e){this.layout.addWidget(e)}insertWidget(e,t){this.layout.insertWidget(e,t)}};(function(i){function e(t){return t.layout||new Aa}i.createLayout=e})(c4||(c4={}));Jc=class extends fm{constructor(e={}){super({layout:d4.createLayout(e)}),this._handleMoved=new G(this),this._pressData=null,this.addClass("lm-SplitPanel")}dispose(){this._releaseMouse(),super.dispose()}get orientation(){return this.layout.orientation}set orientation(e){this.layout.orientation=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get renderer(){return this.layout.renderer}get handleMoved(){return this._handleMoved}get handles(){return this.layout.handles}relativeSizes(){return this.layout.relativeSizes()}setRelativeSizes(e,t=!0){this.layout.setRelativeSizes(e,t)}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){e.child.addClass("lm-SplitPanel-child"),this._releaseMouse()}onChildRemoved(e){e.child.removeClass("lm-SplitPanel-child"),this._releaseMouse()}_evtKeyDown(e){this._pressData&&(e.preventDefault(),e.stopPropagation()),e.keyCode===27&&this._releaseMouse()}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=L.findFirstIndex(t.handles,u=>u.contains(e.target));if(r===-1)return;e.preventDefault(),e.stopPropagation(),document.addEventListener("pointerup",this,!0),document.addEventListener("pointermove",this,!0),document.addEventListener("keydown",this,!0),document.addEventListener("contextmenu",this,!0);let n,s=t.handles[r],o=s.getBoundingClientRect();t.orientation==="horizontal"?n=e.clientX-o.left:n=e.clientY-o.top;let a=window.getComputedStyle(s),l=Ri.overrideCursor(a.cursor);this._pressData={index:r,delta:n,override:l}}_evtPointerMove(e){e.preventDefault(),e.stopPropagation();let t,r=this.layout,n=this.node.getBoundingClientRect();r.orientation==="horizontal"?t=e.clientX-n.left-this._pressData.delta:t=e.clientY-n.top-this._pressData.delta,r.moveHandle(this._pressData.index,t)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse())}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._handleMoved.emit(),document.removeEventListener("keydown",this,!0),document.removeEventListener("pointerup",this,!0),document.removeEventListener("pointermove",this,!0),document.removeEventListener("contextmenu",this,!0))}};(function(i){class e{createHandle(){let s=document.createElement("div");return s.className="lm-SplitPanel-handle",s}}i.Renderer=e,i.defaultRenderer=new e;function t(n){return Ws.getStretch(n)}i.getStretch=t;function r(n,s){Ws.setStretch(n,s)}i.setStretch=r})(Jc||(Jc={}));(function(i){function e(t){return t.layout||new Ws({renderer:t.renderer||Jc.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing})}i.createLayout=e})(d4||(d4={}));pm=class extends Jc{constructor(e={}){super({...e,layout:h4.createLayout(e)}),this._widgetSizesCache=new WeakMap,this._expansionToggled=new G(this),this.addClass("lm-AccordionPanel")}get renderer(){return this.layout.renderer}get titleSpace(){return this.layout.titleSpace}set titleSpace(e){this.layout.titleSpace=e}get titles(){return this.layout.titles}get expansionToggled(){return this._expansionToggled}addWidget(e){super.addWidget(e),e.title.changed.connect(this._onTitleChanged,this)}collapse(e){let t=this.layout.widgets[e];t&&!t.isHidden&&this._toggleExpansion(e)}expand(e){let t=this.layout.widgets[e];t&&t.isHidden&&this._toggleExpansion(e)}insertWidget(e,t){super.insertWidget(e,t),t.title.changed.connect(this._onTitleChanged,this)}handleEvent(e){switch(super.handleEvent(e),e.type){case"click":this._evtClick(e);break;case"keydown":this._eventKeyDown(e);break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),super.onBeforeAttach(e)}onAfterDetach(e){super.onAfterDetach(e),this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this)}_onTitleChanged(e){let t=L.findFirstIndex(this.widgets,r=>r.contains(e.owner));t>=0&&(this.layout.updateTitle(t,e.owner),this.update())}_computeWidgetSize(e){let t=this.layout,r=t.widgets[e];if(!r)return;let n=r.isHidden,s=t.absoluteSizes(),o=(n?-1:1)*this.spacing,a=s.reduce((u,c)=>u+c),l=[...s];if(n){let u=this._widgetSizesCache.get(r);if(!u)return;l[e]+=u;let c=l.map(d=>d-u>0).lastIndexOf(!0);c===-1?l.forEach((d,h)=>{h!==e&&(l[h]-=s[h]/a*(u-o))}):l[c]-=u-o}else{let u=s[e];this._widgetSizesCache.set(r,u),l[e]=0;let c=l.map(d=>d>0).lastIndexOf(!0);if(c===-1)return;l[c]=s[c]+u+o}return l.map(u=>u/(a+o))}_evtClick(e){let t=e.target;if(t){let r=L.findFirstIndex(this.titles,n=>n.contains(t));r>=0&&(e.preventDefault(),e.stopPropagation(),this._toggleExpansion(r))}}_eventKeyDown(e){if(e.defaultPrevented)return;let t=e.target,r=!1;if(t){let n=L.findFirstIndex(this.titles,s=>s.contains(t));if(n>=0){let s=e.keyCode.toString();if(e.key.match(/Space|Enter/)||s.match(/13|32/))t.click(),r=!0;else if(this.orientation==="horizontal"?e.key.match(/ArrowLeft|ArrowRight/)||s.match(/37|39/):e.key.match(/ArrowUp|ArrowDown/)||s.match(/38|40/)){let o=e.key.match(/ArrowLeft|ArrowUp/)||s.match(/37|38/)?-1:1,a=this.titles.length,l=(n+a+o)%a;this.titles[l].focus(),r=!0}else e.key==="End"||s==="35"?(this.titles[this.titles.length-1].focus(),r=!0):(e.key==="Home"||s==="36")&&(this.titles[0].focus(),r=!0)}r&&e.preventDefault()}}_toggleExpansion(e){let t=this.titles[e],r=this.layout.widgets[e],n=this._computeWidgetSize(e);n&&this.setRelativeSizes(n,!1),r.isHidden?(t.classList.add("lm-mod-expanded"),t.setAttribute("aria-expanded","true"),r.show()):(t.classList.remove("lm-mod-expanded"),t.setAttribute("aria-expanded","false"),r.hide()),this._expansionToggled.emit(e)}};(function(i){class e extends Jc.Renderer{constructor(){super(),this.titleClassName="lm-AccordionPanel-title",this._titleID=0,this._titleKeys=new WeakMap,this._uuid=++e._nInstance}createCollapseIcon(r){return document.createElement("span")}createSectionTitle(r){let n=document.createElement("h3");n.setAttribute("tabindex","0"),n.id=this.createTitleKey(r),n.className=this.titleClassName;for(let a in r.dataset)n.dataset[a]=r.dataset[a];let s=n.appendChild(this.createCollapseIcon(r));s.className="lm-AccordionPanel-titleCollapser";let o=n.appendChild(document.createElement("span"));return o.className="lm-AccordionPanel-titleLabel",o.textContent=r.label,o.title=r.caption||r.label,n}createTitleKey(r){let n=this._titleKeys.get(r);return n===void 0&&(n=`title-key-${this._uuid}-${this._titleID++}`,this._titleKeys.set(r,n)),n}}e._nInstance=0,i.Renderer=e,i.defaultRenderer=new e})(pm||(pm={}));(function(i){function e(t){return t.layout||new u4({renderer:t.renderer||pm.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing,titleSpace:t.titleSpace})}i.createLayout=e})(h4||(h4={}));Vn=class extends Aa{constructor(e={}){super(),this._fixed=0,this._spacing=4,this._dirty=!1,this._sizers=[],this._items=[],this._box=null,this._alignment="start",this._direction="top-to-bottom",e.direction!==void 0&&(this._direction=e.direction),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=hm.clampDimension(e.spacing))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,super.dispose()}get direction(){return this._direction}set direction(e){this._direction!==e&&(this._direction=e,this.parent&&(this.parent.dataset.direction=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=hm.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}init(){this.parent.dataset.direction=this.direction,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){L.insert(this._items,e,new Xc(t)),L.insert(this._sizers,e,new Ro),this.parent.isAttached&&ae.sendMessage(t,W.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.isAttached&&ae.sendMessage(t,W.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){L.move(this._items,e,t),L.move(this._sizers,e,t),this.parent.update()}detachWidget(e,t){let r=L.removeAt(this._items,e);L.removeAt(this._sizers,e),this.parent.isAttached&&ae.sendMessage(t,W.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&ae.sendMessage(t,W.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){let e=0;for(let a=0,l=this._items.length;a0)switch(this._alignment){case"start":break;case"center":u=0,c=l/2;break;case"end":u=0,c=l;break;case"justify":u=l/r,c=0;break;default:throw"unreachable"}for(let d=0,h=this._items.length;d0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r}),i.sizeBasisProperty=new Ye({name:"sizeBasis",create:()=>0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r});function e(n){return n==="left-to-right"||n==="right-to-left"}i.isHorizontal=e;function t(n){return Math.max(0,Math.floor(n))}i.clampSpacing=t;function r(n){n.parent&&n.parent.layout instanceof Vn&&n.parent.fit()}})(Yc||(Yc={}));Dv=class extends fm{constructor(e={}){super({layout:f4.createLayout(e)}),this.addClass("lm-BoxPanel")}get direction(){return this.layout.direction}set direction(e){this.layout.direction=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}onChildAdded(e){e.child.addClass("lm-BoxPanel-child")}onChildRemoved(e){e.child.removeClass("lm-BoxPanel-child")}};(function(i){function e(s){return Vn.getStretch(s)}i.getStretch=e;function t(s,o){Vn.setStretch(s,o)}i.setStretch=t;function r(s){return Vn.getSizeBasis(s)}i.getSizeBasis=r;function n(s,o){Vn.setSizeBasis(s,o)}i.setSizeBasis=n})(Dv||(Dv={}));(function(i){function e(t){return t.layout||new Vn(t)}i.createLayout=e})(f4||(f4={}));Fh=class extends W{constructor(e){super({node:Ia.createNode()}),this._activeIndex=-1,this._items=[],this._results=null,this.addClass("lm-CommandPalette"),this.setFlag(W.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||Fh.defaultRenderer,this.commands.commandChanged.connect(this._onGenericChange,this),this.commands.keyBindingChanged.connect(this._onGenericChange,this)}dispose(){this._items.length=0,this._results=null,super.dispose()}get searchNode(){return this.node.getElementsByClassName("lm-CommandPalette-search")[0]}get inputNode(){return this.node.getElementsByClassName("lm-CommandPalette-input")[0]}get contentNode(){return this.node.getElementsByClassName("lm-CommandPalette-content")[0]}get items(){return this._items}addItem(e){let t=Ia.createItem(this.commands,e);return this._items.push(t),this.refresh(),t}addItems(e){let t=e.map(r=>Ia.createItem(this.commands,r));return t.forEach(r=>this._items.push(r)),this.refresh(),t}removeItem(e){this.removeItemAt(this._items.indexOf(e))}removeItemAt(e){L.removeAt(this._items,e)&&this.refresh()}clearItems(){this._items.length!==0&&(this._items.length=0,this.refresh())}refresh(){if(this._results=null,this.inputNode.value!==""){let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="inherit"}else{let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="none"}this.update()}handleEvent(e){switch(e.type){case"click":this._evtClick(e);break;case"keydown":this._evtKeyDown(e);break;case"input":this.refresh();break;case"focus":case"blur":this._toggleFocused();break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),this.node.addEventListener("input",this),this.node.addEventListener("focus",this,!0),this.node.addEventListener("blur",this,!0)}onAfterDetach(e){this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this),this.node.removeEventListener("input",this),this.node.removeEventListener("focus",this,!0),this.node.removeEventListener("blur",this,!0)}onAfterShow(e){this.update(),super.onAfterShow(e)}onActivateRequest(e){if(this.isAttached){let t=this.inputNode;t.focus(),t.select()}}onUpdateRequest(e){if(!this.isVisible){Pt.render(null,this.contentNode);return}let t=this.inputNode.value,r=this.contentNode,n=this._results;if(n||(n=this._results=Ia.search(this._items,t),this._activeIndex=t?L.findFirstIndex(n,Ia.canActivate):-1),!t&&n.length===0){Pt.render(null,r);return}if(t&&n.length===0){let l=this.renderer.renderEmptyMessage({query:t});Pt.render(l,r);return}let s=this.renderer,o=this._activeIndex,a=new Array(n.length);for(let l=0,u=n.length;l=n.length)r.scrollTop=0;else{let l=r.children[o];he.scrollIntoViewIfNeeded(r,l)}}_evtClick(e){if(e.button!==0)return;if(e.target.classList.contains("lm-close-icon")){this.inputNode.value="",this.refresh();return}let t=L.findFirstIndex(this.contentNode.children,r=>r.contains(e.target));t!==-1&&(e.preventDefault(),e.stopPropagation(),this._execute(t))}_evtKeyDown(e){if(!(e.altKey||e.ctrlKey||e.metaKey||e.shiftKey))switch(e.keyCode){case 13:e.preventDefault(),e.stopPropagation(),this._execute(this._activeIndex);break;case 38:e.preventDefault(),e.stopPropagation(),this._activatePreviousItem();break;case 40:e.preventDefault(),e.stopPropagation(),this._activateNextItem();break}}_activateNextItem(){if(!this._results||this._results.length===0)return;let e=this._activeIndex,t=this._results.length,r=eE-w),R=x.slice(0,S),I=x.slice(S);for(let E=0,w=I.length;Eg.command===f&&Ta.JSONExt.deepEqual(g.args,p))||null}}})(Ia||(Ia={}));Do=class extends W{constructor(e){super({node:Qr.createNode()}),this._childIndex=-1,this._activeIndex=-1,this._openTimerID=0,this._closeTimerID=0,this._items=[],this._childMenu=null,this._parentMenu=null,this._aboutToClose=new G(this),this._menuRequested=new G(this),this.addClass("lm-Menu"),this.setFlag(W.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||Do.defaultRenderer}dispose(){this.close(),this._items.length=0,super.dispose()}get aboutToClose(){return this._aboutToClose}get menuRequested(){return this._menuRequested}get parentMenu(){return this._parentMenu}get childMenu(){return this._childMenu}get rootMenu(){let 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r=this._parentMenu;r&&(this._parentMenu=null,r._childIndex=-1,r._childMenu=null,r.activate()),this.isAttached&&this._aboutToClose.emit(void 0),super.onCloseRequest(e)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation();let t=e.keyCode;if(t===13){this.triggerActiveItem();return}if(t===27){this.close();return}if(t===37){this._parentMenu?this.close():this._menuRequested.emit("previous");return}if(t===38){this.activatePreviousItem();return}if(t===39){let o=this.activeItem;o&&o.type==="submenu"?this.triggerActiveItem():this.rootMenu._menuRequested.emit("next");return}if(t===40){this.activateNextItem();return}let r=Qn().keyForKeydownEvent(e);if(!r)return;let n=this._activeIndex+1,s=Qr.findMnemonic(this._items,r,n);s.index!==-1&&!s.multiple?(this.activeIndex=s.index,this.triggerActiveItem()):s.index!==-1?this.activeIndex=s.index:s.auto!==-1&&(this.activeIndex=s.auto)}_evtMouseUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this.triggerActiveItem())}_evtMouseMove(e){let t=L.findFirstIndex(this.contentNode.children,n=>he.hitTest(n,e.clientX,e.clientY));if(t===this._activeIndex)return;if(this.activeIndex=t,t=this.activeIndex,t===this._childIndex){this._cancelOpenTimer(),this._cancelCloseTimer();return}this._childIndex!==-1&&this._startCloseTimer(),this._cancelOpenTimer();let r=this.activeItem;!r||r.type!=="submenu"||!r.submenu||this._startOpenTimer()}_evtMouseEnter(e){for(let t=this._parentMenu;t;t=t._parentMenu)t._cancelOpenTimer(),t._cancelCloseTimer(),t.activeIndex=t._childIndex}_evtMouseLeave(e){if(this._cancelOpenTimer(),!this._childMenu){this.activeIndex=-1;return}let{clientX:t,clientY:r}=e;if(he.hitTest(this._childMenu.node,t,r)){this._cancelCloseTimer();return}this.activeIndex=-1,this._startCloseTimer()}_evtMouseDown(e){this._parentMenu||(Qr.hitTestMenus(this,e.clientX,e.clientY)?(e.preventDefault(),e.stopPropagation()):this.close())}_openChildMenu(e=!1){let t=this.activeItem;if(!t||t.type!=="submenu"||!t.submenu){this._closeChildMenu();return}let r=t.submenu;if(r===this._childMenu)return;Do.saveWindowData(),this._closeChildMenu(),this._childMenu=r,this._childIndex=this._activeIndex,r._parentMenu=this,ae.sendMessage(this,W.Msg.UpdateRequest);let n=this.contentNode.children[this._activeIndex];Qr.openSubmenu(r,n),e&&(r.activeIndex=-1,r.activateNextItem()),r.activate()}_closeChildMenu(){this._childMenu&&this._childMenu.close()}_startOpenTimer(){this._openTimerID===0&&(this._openTimerID=window.setTimeout(()=>{this._openTimerID=0,this._openChildMenu()},Qr.TIMER_DELAY))}_startCloseTimer(){this._closeTimerID===0&&(this._closeTimerID=window.setTimeout(()=>{this._closeTimerID=0,this._closeChildMenu()},Qr.TIMER_DELAY))}_cancelOpenTimer(){this._openTimerID!==0&&(clearTimeout(this._openTimerID),this._openTimerID=0)}_cancelCloseTimer(){this._closeTimerID!==0&&(clearTimeout(this._closeTimerID),this._closeTimerID=0)}static 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g=document.createElement("div"),v=document.createElement("ul");return v.className="lm-Menu-content",g.appendChild(v),v.setAttribute("role","menu"),g.tabIndex=0,g}i.createNode=s;function o(g){return g.type!=="separator"&&g.isEnabled&&g.isVisible}i.canActivate=o;function a(g,v){return new p(g.commands,v)}i.createItem=a;function l(g,v,_){for(let x=g;x;x=x.childMenu)if(he.hitTest(x.node,v,_))return!0;return!1}i.hitTestMenus=l;function u(g){let v=new Array(g.length);L.fill(v,!1);let _=0,x=g.length;for(;_=0;--y){let S=g[y];if(S.isVisible){if(S.type!=="separator")break;v[y]=!0}}let C=!1;for(;++_E+k&&(v=E+k-U),!y&&_+ne>w+O&&(_>w+O?_=w+O-ne:_=_-ne),pe.transform=`translate(${Math.max(0,v)}px, ${Math.max(0,_)}px`,pe.opacity="1"}i.openRootMenu=d;function h(g,v){let _=r(),x=_.pageXOffset,y=_.pageYOffset,C=_.clientWidth,S=_.clientHeight;ae.sendMessage(g,W.Msg.UpdateRequest);let R=S,I=g.node,E=I.style;E.opacity="0",E.maxHeight=`${R}px`,W.attach(g,document.body);let{width:w,height:k}=I.getBoundingClientRect(),O=he.boxSizing(g.node),z=v.getBoundingClientRect(),Y=z.right-i.SUBMENU_OVERLAP;Y+w>x+C&&(Y=z.left+i.SUBMENU_OVERLAP-w);let pe=z.top-O.borderTop-O.paddingTop;pe+k>y+S&&(pe=z.bottom+O.borderBottom+O.paddingBottom-k),E.transform=`translate(${Math.max(0,Y)}px, ${Math.max(0,pe)}px`,E.opacity="1"}i.openSubmenu=h;function f(g,v,_){let x=-1,y=-1,C=!1,S=v.toUpperCase();for(let R=0,I=g.length;R=0&&Ox.command===v&&Ta.JSONExt.deepEqual(x.args,_))||null}return null}}})(Qr||(Qr={}));(function(i){function e(o,a){let l=r(o.selector),u=o.rank!==void 0?o.rank:1/0;return{...o,selector:l,rank:u,id:a}}i.createItem=e;function t(o,a,l,u){let c=a.target;if(!c)return null;let d=a.currentTarget;if(!d||!d.contains(c)&&(c=document.elementFromPoint(a.clientX,a.clientY),!c||!d.contains(c)))return null;let h=[],f=o.slice();for(;c!==null;){let p=[];for(let 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this.node.getElementsByClassName("lm-TabBar-content")[0]}get addButtonNode(){return this.node.getElementsByClassName("lm-TabBar-addButton")[0]}addTab(e){return this.insertTab(this._titles.length,e)}insertTab(e,t){this._releaseMouse();let r=bs.asTitle(t),n=this._titles.indexOf(r),s=Math.max(0,Math.min(e,this._titles.length));return n===-1?(L.insert(this._titles,s,r),r.changed.connect(this._onTitleChanged,this),this.update(),this._adjustCurrentForInsert(s,r),r):(s===this._titles.length&&s--,n===s||(L.move(this._titles,n,s),this.update(),this._adjustCurrentForMove(n,s)),r)}removeTab(e){this.removeTabAt(this._titles.indexOf(e))}removeTabAt(e){this._releaseMouse();let t=L.removeAt(this._titles,e);t&&(t.changed.disconnect(this._onTitleChanged,this),t===this._previousTitle&&(this._previousTitle=null),this.update(),this._adjustCurrentForRemove(e,t))}clearTabs(){if(this._titles.length===0)return;this._releaseMouse();for(let r of this._titles)r.changed.disconnect(this._onTitleChanged,this);let e=this.currentIndex,t=this.currentTitle;this._currentIndex=-1,this._previousTitle=null,this._titles.length=0,this.update(),e!==-1&&this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}releaseMouse(){this._releaseMouse()}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"dblclick":this._evtDblClick(e);break;case"keydown":e.eventPhase===Event.CAPTURING_PHASE?this._evtKeyDownCapturing(e):this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this),this.node.addEventListener("dblclick",this),this.node.addEventListener("keydown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this.node.removeEventListener("dblclick",this),this.node.removeEventListener("keydown",this),this._releaseMouse()}onUpdateRequest(e){var t;let r=this._titles,n=this.renderer,s=this.currentTitle,o=new Array(r.length),a=(t=this._getCurrentTabindex())!==null&&t!==void 0?t:this._currentIndex>-1?this._currentIndex:0;for(let l=0,u=r.length;lhe.hitTest(o,e.clientX,e.clientY));if(r===-1)return;let n=this.titles[r],s=t[r].querySelector(".lm-TabBar-tabLabel");if(s&&s.contains(e.target)){let o=n.label||"",a=s.innerHTML;s.innerHTML="";let l=document.createElement("input");l.classList.add("lm-TabBar-tabInput"),l.value=o,s.appendChild(l);let u=()=>{l.removeEventListener("blur",u),s.innerHTML=a,this.node.addEventListener("keydown",this)};l.addEventListener("dblclick",c=>c.stopPropagation()),l.addEventListener("blur",u),l.addEventListener("keydown",c=>{c.key==="Enter"?(l.value!==""&&(n.label=n.caption=l.value),u()):c.key==="Escape"&&u()}),this.node.removeEventListener("keydown",this),l.select(),l.focus(),s.children.length>0&&s.children[0].focus()}}_evtKeyDownCapturing(e){e.eventPhase===Event.CAPTURING_PHASE&&(e.preventDefault(),e.stopPropagation(),e.key==="Escape"&&this._releaseMouse())}_evtKeyDown(e){var t,r,n;if(!(e.key==="Tab"||e.eventPhase===Event.CAPTURING_PHASE)){if(e.key==="Enter"||e.key==="Spacebar"||e.key===" "){let s=document.activeElement;if(this.addButtonEnabled&&this.addButtonNode.contains(s))e.preventDefault(),e.stopPropagation(),this._addRequested.emit();else{let o=L.findFirstIndex(this.contentNode.children,a=>a.contains(s));o>=0&&(e.preventDefault(),e.stopPropagation(),this.currentIndex=o)}}else 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t=this.addButtonEnabled&&this.addButtonNode.contains(e.target),r=this.contentNode.children,n=L.findFirstIndex(r,o=>he.hitTest(o,e.clientX,e.clientY));if(n===-1&&!t||(e.preventDefault(),e.stopPropagation(),this._dragData={tab:r[n],index:n,pressX:e.clientX,pressY:e.clientY,tabPos:-1,tabSize:-1,tabPressPos:-1,targetIndex:-1,tabLayout:null,contentRect:null,override:null,dragActive:!1,dragAborted:!1,detachRequested:!1},this.document.addEventListener("pointerup",this,!0),e.button===1||t))return;let s=r[n].querySelector(this.renderer.closeIconSelector);s&&s.contains(e.target)||(this.tabsMovable&&(this.document.addEventListener("pointermove",this,!0),this.document.addEventListener("keydown",this,!0),this.document.addEventListener("contextmenu",this,!0)),this.allowDeselect&&this.currentIndex===n?this.currentIndex=-1:this.currentIndex=n,this.currentIndex!==-1&&this._tabActivateRequested.emit({index:this.currentIndex,title:this.currentTitle}))}_evtPointerMove(e){let t=this._dragData;if(!t)return;e.preventDefault(),e.stopPropagation();let r=this.contentNode.children;if(!(!t.dragActive&&!bs.dragExceeded(t,e))){if(!t.dragActive){let n=t.tab.getBoundingClientRect();this._orientation==="horizontal"?(t.tabPos=t.tab.offsetLeft,t.tabSize=n.width,t.tabPressPos=t.pressX-n.left):(t.tabPos=t.tab.offsetTop,t.tabSize=n.height,t.tabPressPos=t.pressY-n.top),t.tabPressOffset={x:t.pressX-n.left,y:t.pressY-n.top},t.tabLayout=bs.snapTabLayout(r,this._orientation),t.contentRect=this.contentNode.getBoundingClientRect(),t.override=Ri.overrideCursor("default"),t.tab.classList.add("lm-mod-dragging"),this.addClass("lm-mod-dragging"),t.dragActive=!0}if(!t.detachRequested&&bs.detachExceeded(t,e)){t.detachRequested=!0;let n=t.index,s=e.clientX,o=e.clientY,a=r[n],l=this._titles[n];if(this._tabDetachRequested.emit({index:n,title:l,tab:a,clientX:s,clientY:o,offset:t.tabPressOffset}),t.dragAborted)return}bs.layoutTabs(r,t,e,this._orientation)}}_evtPointerUp(e){if(e.button!==0&&e.button!==1)return;let t=this._dragData;if(!t)return;if(e.preventDefault(),e.stopPropagation(),this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),!t.dragActive){if(this._dragData=null,this.addButtonEnabled&&this.addButtonNode.contains(e.target)){this._addRequested.emit(void 0);return}let s=this.contentNode.children,o=L.findFirstIndex(s,u=>he.hitTest(u,e.clientX,e.clientY));if(o!==t.index)return;let a=this._titles[o];if(!a.closable)return;if(e.button===1){this._tabCloseRequested.emit({index:o,title:a});return}let l=s[o].querySelector(this.renderer.closeIconSelector);if(l&&l.contains(e.target)){this._tabCloseRequested.emit({index:o,title:a});return}return}if(e.button!==0)return;bs.finalizeTabPosition(t,this._orientation),t.tab.classList.remove("lm-mod-dragging");let r=bs.parseTransitionDuration(t.tab);setTimeout(()=>{if(t.dragAborted)return;this._dragData=null,bs.resetTabPositions(this.contentNode.children,this._orientation),t.override.dispose(),this.removeClass("lm-mod-dragging");let n=t.index,s=t.targetIndex;s===-1||n===s||(L.move(this._titles,n,s),this._adjustCurrentForMove(n,s),this._tabMoved.emit({fromIndex:n,toIndex:s,title:this._titles[s]}),ae.sendMessage(this,W.Msg.UpdateRequest))},r)}_releaseMouse(){let e=this._dragData;e&&(this._dragData=null,this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),e.dragAborted=!0,e.dragActive&&(bs.resetTabPositions(this.contentNode.children,this._orientation),e.override.dispose(),e.tab.classList.remove("lm-mod-dragging"),this.removeClass("lm-mod-dragging")))}_adjustCurrentForInsert(e,t){let r=this.currentTitle,n=this._currentIndex,s=this.insertBehavior;if(s==="select-tab"||s==="select-tab-if-needed"&&n===-1){this._currentIndex=e,this._previousTitle=r,this._currentChanged.emit({previousIndex:n,previousTitle:r,currentIndex:e,currentTitle:t});return}n>=e&&this._currentIndex++}_adjustCurrentForMove(e,t){this._currentIndex===e?this._currentIndex=t:this._currentIndex=t?this._currentIndex++:this._currentIndex>e&&this._currentIndex<=t&&this._currentIndex--}_adjustCurrentForRemove(e,t){let r=this._currentIndex,n=this.removeBehavior;if(r!==e){r>e&&this._currentIndex--;return}if(this._titles.length===0){this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null});return}if(n==="select-tab-after"){this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-tab-before"){this._currentIndex=Math.max(0,e-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-previous-tab"){this._previousTitle?(this._currentIndex=this._titles.indexOf(this._previousTitle),this._previousTitle=null):this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}_onTitleChanged(e){this.update()}};(function(i){class e{constructor(){this.closeIconSelector=".lm-TabBar-tabCloseIcon",this._tabID=0,this._tabKeys=new WeakMap,this._uuid=++e._nInstance}renderTab(r){let n=r.title.caption,s=this.createTabKey(r),o=s,a=this.createTabStyle(r),l=this.createTabClass(r),u=this.createTabDataset(r),c=this.createTabARIA(r);return r.title.closable?re.li({id:o,key:s,className:l,title:n,style:a,dataset:u,...c},this.renderIcon(r),this.renderLabel(r),this.renderCloseIcon(r)):re.li({id:o,key:s,className:l,title:n,style:a,dataset:u,...c},this.renderIcon(r),this.renderLabel(r))}renderIcon(r){let{title:n}=r,s=this.createIconClass(r);return re.div({className:s},n.icon,n.iconLabel)}renderLabel(r){return re.div({className:"lm-TabBar-tabLabel"},r.title.label)}renderCloseIcon(r){return re.div({className:"lm-TabBar-tabCloseIcon"})}createTabKey(r){let n=this._tabKeys.get(r.title);return n===void 0&&(n=`tab-key-${this._uuid}-${this._tabID++}`,this._tabKeys.set(r.title,n)),n}createTabStyle(r){return{zIndex:`${r.zIndex}`}}createTabClass(r){let n="lm-TabBar-tab";return r.title.className&&(n+=` ${r.title.className}`),r.title.closable&&(n+=" lm-mod-closable"),r.current&&(n+=" lm-mod-current"),n}createTabDataset(r){return r.title.dataset}createTabARIA(r){var n;return{role:"tab","aria-selected":r.current.toString(),tabindex:`${(n=r.tabIndex)!==null&&n!==void 0?n:"-1"}`}}createIconClass(r){let n="lm-TabBar-tabIcon",s=r.title.iconClass;return s?`${n} ${s}`:n}}e._nInstance=0,i.Renderer=e,i.defaultRenderer=new e,i.addButtonSelector=".lm-TabBar-addButton"})(zu||(zu={}));(function(i){i.DRAG_THRESHOLD=5,i.DETACH_THRESHOLD=20;function e(){let c=document.createElement("div"),d=document.createElement("ul");d.setAttribute("role","tablist"),d.className="lm-TabBar-content",c.appendChild(d);let h=document.createElement("div");return h.className="lm-TabBar-addButton lm-mod-hidden",h.setAttribute("tabindex","-1"),h.setAttribute("role","button"),c.appendChild(h),c}i.createNode=e;function t(c){return c instanceof cm?c:new cm(c)}i.asTitle=t;function r(c){let d=window.getComputedStyle(c);return 1e3*(parseFloat(d.transitionDuration)||0)}i.parseTransitionDuration=r;function n(c,d){let h=new Array(c.length);for(let f=0,p=c.length;f=i.DRAG_THRESHOLD||f>=i.DRAG_THRESHOLD}i.dragExceeded=s;function o(c,d){let h=c.contentRect;return d.clientX=h.right+i.DETACH_THRESHOLD||d.clientY=h.bottom+i.DETACH_THRESHOLD}i.detachExceeded=o;function a(c,d,h,f){let p,g,v,_;f==="horizontal"?(p=d.pressX,g=h.clientX-d.contentRect.left,v=h.clientX,_=d.contentRect.width):(p=d.pressY,g=h.clientY-d.contentRect.top,v=h.clientY,_=d.contentRect.height);let x=d.index,y=g-d.tabPressPos,C=y+d.tabSize;for(let S=0,R=c.length;S>1);if(Sd.index&&C>w)I=`${-d.tabSize-E.margin}px`,x=Math.max(x,S);else if(S===d.index){let k=v-p,O=_-(d.tabPos+d.tabSize);I=`${Math.max(-d.tabPos,Math.min(k,O))}px`}else I="";f==="horizontal"?c[S].style.left=I:c[S].style.top=I}d.targetIndex=x}i.layoutTabs=a;function l(c,d){let h;d==="horizontal"?h=c.contentRect.width:h=c.contentRect.height;let f;if(c.targetIndex===c.index)f=0;else if(c.targetIndex>c.index){let v=c.tabLayout[c.targetIndex];f=v.pos+v.size-c.tabSize-c.tabPos}else f=c.tabLayout[c.targetIndex].pos-c.tabPos;let p=h-(c.tabPos+c.tabSize),g=Math.max(-c.tabPos,Math.min(f,p));d==="horizontal"?c.tab.style.left=`${g}px`:c.tab.style.top=`${g}px`}i.finalizeTabPosition=l;function u(c,d){for(let h of c)d==="horizontal"?h.style.left="":h.style.top=""}i.resetTabPositions=u})(bs||(bs={}));p4=class extends Oo{constructor(e){super(),this._spacing=4,this._dirty=!1,this._root=null,this._box=null,this._items=new Map,this.renderer=e.renderer,e.spacing!==void 0&&(this._spacing=hm.clampDimension(e.spacing)),this._document=e.document||document,this._hiddenMode=e.hiddenMode!==void 0?e.hiddenMode:W.HiddenMode.Display}dispose(){let e=this[Symbol.iterator]();this._items.forEach(t=>{t.dispose()}),this._box=null,this._root=null,this._items.clear();for(let t of e)t.dispose();super.dispose()}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){if(this._hiddenMode!==e){this._hiddenMode=e;for(let t of this.tabBars())if(t.titles.length>1)for(let r of t.titles)r.owner.hiddenMode=this._hiddenMode}}get spacing(){return this._spacing}set spacing(e){e=hm.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get isEmpty(){return this._root===null}[Symbol.iterator](){return this._root?this._root.iterAllWidgets():Oi()}widgets(){return this._root?this._root.iterUserWidgets():Oi()}selectedWidgets(){return this._root?this._root.iterSelectedWidgets():Oi()}tabBars(){return this._root?this._root.iterTabBars():Oi()}handles(){return this._root?this._root.iterHandles():Oi()}moveHandle(e,t,r){let n=e.classList.contains("lm-mod-hidden");if(!this._root||n)return;let s=this._root.findSplitNode(e);if(!s)return;let o;s.node.orientation==="horizontal"?o=t-e.offsetLeft:o=r-e.offsetTop,o!==0&&(s.node.holdSizes(),jn.adjust(s.node.sizers,s.index,o),this.parent&&this.parent.update())}saveLayout(){return this._root?(this._root.holdAllSizes(),{main:this._root.createConfig()}):{main:null}}restoreLayout(e){let t=new Set,r;e.main?r=yi.normalizeAreaConfig(e.main,t):r=null;let n=this.widgets(),s=this.tabBars(),o=this.handles();this._root=null;for(let a of n)t.has(a)||(a.parent=null);for(let a of s)a.dispose();for(let a of o)a.parentNode&&a.parentNode.removeChild(a);for(let a of t)a.parent=this.parent;r?this._root=yi.realizeAreaConfig(r,{createTabBar:a=>this._createTabBar(),createHandle:()=>this._createHandle()},this._document):this._root=null,this.parent&&(t.forEach(a=>{this.attachWidget(a)}),this.parent.fit())}addWidget(e,t={}){let r=t.ref||null,n=t.mode||"tab-after",s=null;if(this._root&&r&&(s=this._root.findTabNode(r)),r&&!s)throw new Error("Reference widget is not in the layout.");switch(e.parent=this.parent,n){case"tab-after":this._insertTab(e,r,s,!0);break;case"tab-before":this._insertTab(e,r,s,!1);break;case"split-top":this._insertSplit(e,r,s,"vertical",!1);break;case"split-left":this._insertSplit(e,r,s,"horizontal",!1);break;case"split-right":this._insertSplit(e,r,s,"horizontal",!0);break;case"split-bottom":this._insertSplit(e,r,s,"vertical",!0);break;case"merge-top":this._insertSplit(e,r,s,"vertical",!1,!0);break;case"merge-left":this._insertSplit(e,r,s,"horizontal",!1,!0);break;case"merge-right":this._insertSplit(e,r,s,"horizontal",!0,!0);break;case"merge-bottom":this._insertSplit(e,r,s,"vertical",!0,!0);break}this.parent&&(this.attachWidget(e),this.parent.fit())}removeWidget(e){this._removeWidget(e),this.parent&&(this.detachWidget(e),this.parent.fit())}hitTestTabAreas(e,t){if(!this._root||!this.parent||!this.parent.isVisible)return null;this._box||(this._box=he.boxSizing(this.parent.node));let r=this.parent.node.getBoundingClientRect(),n=e-r.left-this._box.borderLeft,s=t-r.top-this._box.borderTop,o=this._root.hitTestTabNodes(n,s);if(!o)return null;let{tabBar:a,top:l,left:u,width:c,height:d}=o,h=this._box.borderLeft+this._box.borderRight,f=this._box.borderTop+this._box.borderBottom,p=r.width-h-(u+c),g=r.height-f-(l+d);return{tabBar:a,x:n,y:s,top:l,left:u,right:p,bottom:g,width:c,height:d}}init(){super.init();for(let e of this)this.attachWidget(e);for(let e of this.handles())this.parent.node.appendChild(e);this.parent.fit()}attachWidget(e){this.parent.node!==e.node.parentNode&&(this._items.set(e,new Xc(e)),this.parent.isAttached&&ae.sendMessage(e,W.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&ae.sendMessage(e,W.Msg.AfterAttach))}detachWidget(e){if(this.parent.node!==e.node.parentNode)return;this.parent.isAttached&&ae.sendMessage(e,W.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&ae.sendMessage(e,W.Msg.AfterDetach);let t=this._items.get(e);t&&(this._items.delete(e),t.dispose())}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_removeWidget(e){if(!this._root)return;let t=this._root.findTabNode(e);if(!t)return;if(yi.removeAria(e),t.tabBar.titles.length>1){if(t.tabBar.removeTab(e.title),this._hiddenMode===W.HiddenMode.Scale&&t.tabBar.titles.length==1){let h=t.tabBar.titles[0].owner;h.hiddenMode=W.HiddenMode.Display}return}if(t.tabBar.dispose(),this._root===t){this._root=null;return}this._root.holdAllSizes();let r=t.parent;t.parent=null;let n=L.removeFirstOf(r.children,t),s=L.removeAt(r.handles,n);if(L.removeAt(r.sizers,n),s.parentNode&&s.parentNode.removeChild(s),r.children.length>1){r.syncHandles();return}let o=r.parent;r.parent=null;let a=r.children[0],l=r.handles[0];if(r.children.length=0,r.handles.length=0,r.sizers.length=0,l.parentNode&&l.parentNode.removeChild(l),this._root===r){a.parent=null,this._root=a;return}let u=o,c=u.children.indexOf(r);if(a instanceof yi.TabLayoutNode){a.parent=u,u.children[c]=a;return}let d=L.removeAt(u.handles,c);L.removeAt(u.children,c),L.removeAt(u.sizers,c),d.parentNode&&d.parentNode.removeChild(d);for(let h=0,f=a.children.length;h=this._left+this._width||p=this._top+this._height?null:this}createConfig(){let f=this.tabBar.titles.map(g=>g.owner),p=this.tabBar.currentIndex;return{type:"tab-area",widgets:f,currentIndex:p}}holdAllSizes(){}fit(f,p){let g=0,v=0,_=1/0,x=1/0,y=p.get(this.tabBar),C=this.tabBar.currentTitle,S=C?p.get(C.owner):void 0,[R,I]=this.sizers;return y&&y.fit(),S&&S.fit(),y&&!y.isHidden?(g=Math.max(g,y.minWidth),v+=y.minHeight,R.minSize=y.minHeight,R.maxSize=y.maxHeight):(R.minSize=0,R.maxSize=0),S&&!S.isHidden?(g=Math.max(g,S.minWidth),v+=S.minHeight,I.minSize=S.minHeight,I.maxSize=1/0):(I.minSize=0,I.maxSize=1/0),{minWidth:g,minHeight:v,maxWidth:_,maxHeight:x}}update(f,p,g,v,_,x){this._top=p,this._left=f,this._width=g,this._height=v;let y=x.get(this.tabBar),C=this.tabBar.currentTitle,S=C?x.get(C.owner):void 0;if(jn.calc(this.sizers,v),y&&!y.isHidden){let R=this.sizers[0].size;y.update(f,p,g,R),p+=R}if(S&&!S.isHidden){let R=this.sizers[1].size;S.update(f,p,g,R)}}}i.TabLayoutNode=n;class s{constructor(f){this.parent=null,this.normalized=!1,this.children=[],this.sizers=[],this.handles=[],this.orientation=f}*iterAllWidgets(){for(let f of this.children)yield*f.iterAllWidgets()}*iterUserWidgets(){for(let f of this.children)yield*f.iterUserWidgets()}*iterSelectedWidgets(){for(let f of this.children)yield*f.iterSelectedWidgets()}*iterTabBars(){for(let f of this.children)yield*f.iterTabBars()}*iterHandles(){yield*this.handles;for(let f of this.children)yield*f.iterHandles()}findTabNode(f){for(let p=0,g=this.children.length;pv.createConfig());return{type:"split-area",orientation:f,children:g,sizes:p}}syncHandles(){this.handles.forEach((f,p)=>{f.setAttribute("data-orientation",this.orientation),p===this.handles.length-1?f.classList.add("lm-mod-hidden"):f.classList.remove("lm-mod-hidden")})}holdSizes(){for(let f of this.sizers)f.sizeHint=f.size}holdAllSizes(){for(let f of this.children)f.holdAllSizes();this.holdSizes()}normalizeSizes(){let f=this.sizers.length;if(f===0)return;this.holdSizes();let p=this.sizers.reduce((g,v)=>g+v.sizeHint,0);if(p===0)for(let g of this.sizers)g.size=g.sizeHint=1/f;else for(let g of this.sizers)g.size=g.sizeHint/=p;this.normalized=!0}createNormalizedSizes(){let f=this.sizers.length;if(f===0)return[];let p=this.sizers.map(v=>v.size),g=p.reduce((v,_)=>v+_,0);if(g===0)for(let v=p.length-1;v>-1;v--)p[v]=1/f;else for(let v=p.length-1;v>-1;v--)p[v]/=g;return p}fit(f,p){let g=this.orientation==="horizontal",v=Math.max(0,this.children.length-1)*f,_=g?v:0,x=g?0:v,y=1/0,C=1/0;for(let S=0,R=this.children.length;S=p.length)&&(g=0),{type:"tab-area",widgets:p,currentIndex:g}}function u(h,f){let p=h.orientation,g=[],v=[];for(let _=0,x=h.children.length;_{let x=r(v,f,p),y=e(h.sizes[_]),C=f.createHandle();g.children.push(x),g.handles.push(C),g.sizers.push(y),x.parent=g}),g.syncHandles(),g.normalizeSizes(),g}})(yi||(yi={}));Zc=class extends W{constructor(e={}){super(),this._drag=null,this._tabsMovable=!0,this._tabsConstrained=!1,this._addButtonEnabled=!1,this._pressData=null,this._layoutModified=new G(this),this._addRequested=new G(this),this.addClass("lm-DockPanel"),this._document=e.document||document,this._mode=e.mode||"multiple-document",this._renderer=e.renderer||Zc.defaultRenderer,this._edges=e.edges||li.DEFAULT_EDGES,e.tabsMovable!==void 0&&(this._tabsMovable=e.tabsMovable),e.tabsConstrained!==void 0&&(this._tabsConstrained=e.tabsConstrained),e.addButtonEnabled!==void 0&&(this._addButtonEnabled=e.addButtonEnabled),this.dataset.mode=this._mode;let t={createTabBar:()=>this._createTabBar(),createHandle:()=>this._createHandle()};this.layout=new p4({document:this._document,renderer:t,spacing:e.spacing,hiddenMode:e.hiddenMode}),this.overlay=e.overlay||new Zc.Overlay,this.node.appendChild(this.overlay.node)}dispose(){this._releaseMouse(),this.overlay.hide(0),this._drag&&this._drag.dispose(),super.dispose()}get hiddenMode(){return this.layout.hiddenMode}set hiddenMode(e){this.layout.hiddenMode=e}get layoutModified(){return this._layoutModified}get addRequested(){return this._addRequested}get renderer(){return this.layout.renderer}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get mode(){return this._mode}set mode(e){if(this._mode===e)return;this._mode=e,this.dataset.mode=e;let t=this.layout;switch(e){case"multiple-document":for(let r of t.tabBars())r.show();break;case"single-document":t.restoreLayout(li.createSingleDocumentConfig(this));break;default:throw"unreachable"}ae.postMessage(this,li.LayoutModified)}get tabsMovable(){return this._tabsMovable}set tabsMovable(e){this._tabsMovable=e;for(let t of this.tabBars())t.tabsMovable=e}get tabsConstrained(){return this._tabsConstrained}set tabsConstrained(e){this._tabsConstrained=e}get addButtonEnabled(){return this._addButtonEnabled}set addButtonEnabled(e){this._addButtonEnabled=e;for(let t of this.tabBars())t.addButtonEnabled=e}get isEmpty(){return this.layout.isEmpty}*widgets(){yield*this.layout.widgets()}*selectedWidgets(){yield*this.layout.selectedWidgets()}*tabBars(){yield*this.layout.tabBars()}*handles(){yield*this.layout.handles()}selectWidget(e){let t=Ui(this.tabBars(),r=>r.titles.indexOf(e.title)!==-1);if(!t)throw new Error("Widget is not contained in the dock panel.");t.currentTitle=e.title}activateWidget(e){this.selectWidget(e),e.activate()}saveLayout(){return this.layout.saveLayout()}restoreLayout(e){this._mode="multiple-document",this.layout.restoreLayout(e),(Ft.IS_EDGE||Ft.IS_IE)&&ae.flush(),ae.postMessage(this,li.LayoutModified)}addWidget(e,t={}){this._mode==="single-document"?this.layout.addWidget(e):this.layout.addWidget(e,t),ae.postMessage(this,li.LayoutModified)}processMessage(e){e.type==="layout-modified"?this._layoutModified.emit(void 0):super.processMessage(e)}handleEvent(e){switch(e.type){case"lm-dragenter":this._evtDragEnter(e);break;case"lm-dragleave":this._evtDragLeave(e);break;case"lm-dragover":this._evtDragOver(e);break;case"lm-drop":this._evtDrop(e);break;case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("lm-dragenter",this),this.node.addEventListener("lm-dragleave",this),this.node.addEventListener("lm-dragover",this),this.node.addEventListener("lm-drop",this),this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("lm-dragenter",this),this.node.removeEventListener("lm-dragleave",this),this.node.removeEventListener("lm-dragover",this),this.node.removeEventListener("lm-drop",this),this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){li.isGeneratedTabBarProperty.get(e.child)||e.child.addClass("lm-DockPanel-widget")}onChildRemoved(e){li.isGeneratedTabBarProperty.get(e.child)||(e.child.removeClass("lm-DockPanel-widget"),ae.postMessage(this,li.LayoutModified))}_evtDragEnter(e){e.mimeData.hasData("application/vnd.lumino.widget-factory")&&(e.preventDefault(),e.stopPropagation())}_evtDragLeave(e){e.preventDefault(),!(this._tabsConstrained&&e.source!==this)&&(e.stopPropagation(),this.overlay.hide(1))}_evtDragOver(e){e.preventDefault(),this._tabsConstrained&&e.source!==this||this._showOverlay(e.clientX,e.clientY)==="invalid"?e.dropAction="none":(e.stopPropagation(),e.dropAction=e.proposedAction)}_evtDrop(e){if(e.preventDefault(),this.overlay.hide(0),e.proposedAction==="none"){e.dropAction="none";return}let{clientX:t,clientY:r}=e,{zone:n,target:s}=li.findDropTarget(this,t,r,this._edges);if(this._tabsConstrained&&e.source!==this||n==="invalid"){e.dropAction="none";return}let a=e.mimeData.getData("application/vnd.lumino.widget-factory");if(typeof a!="function"){e.dropAction="none";return}let l=a();if(!(l instanceof W)){e.dropAction="none";return}if(l.contains(this)){e.dropAction="none";return}let u=s?li.getDropRef(s.tabBar):null;switch(n){case"root-all":this.addWidget(l);break;case"root-top":this.addWidget(l,{mode:"split-top"});break;case"root-left":this.addWidget(l,{mode:"split-left"});break;case"root-right":this.addWidget(l,{mode:"split-right"});break;case"root-bottom":this.addWidget(l,{mode:"split-bottom"});break;case"widget-all":this.addWidget(l,{mode:"tab-after",ref:u});break;case"widget-top":this.addWidget(l,{mode:"split-top",ref:u});break;case"widget-left":this.addWidget(l,{mode:"split-left",ref:u});break;case"widget-right":this.addWidget(l,{mode:"split-right",ref:u});break;case"widget-bottom":this.addWidget(l,{mode:"split-bottom",ref:u});break;case"widget-tab":this.addWidget(l,{mode:"tab-after",ref:u});break;default:throw"unreachable"}e.dropAction=e.proposedAction,e.stopPropagation(),this.activateWidget(l)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation(),e.keyCode===27&&(this._releaseMouse(),ae.postMessage(this,li.LayoutModified))}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=e.target,n=Ui(t.handles(),c=>c.contains(r));if(!n)return;e.preventDefault(),e.stopPropagation(),this._document.addEventListener("keydown",this,!0),this._document.addEventListener("pointerup",this,!0),this._document.addEventListener("pointermove",this,!0),this._document.addEventListener("contextmenu",this,!0);let s=n.getBoundingClientRect(),o=e.clientX-s.left,a=e.clientY-s.top,l=window.getComputedStyle(n),u=Ri.overrideCursor(l.cursor,this._document);this._pressData={handle:n,deltaX:o,deltaY:a,override:u}}_evtPointerMove(e){if(!this._pressData)return;e.preventDefault(),e.stopPropagation();let t=this.node.getBoundingClientRect(),r=e.clientX-t.left-this._pressData.deltaX,n=e.clientY-t.top-this._pressData.deltaY;this.layout.moveHandle(this._pressData.handle,r,n)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse(),ae.postMessage(this,li.LayoutModified))}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._document.removeEventListener("keydown",this,!0),this._document.removeEventListener("pointerup",this,!0),this._document.removeEventListener("pointermove",this,!0),this._document.removeEventListener("contextmenu",this,!0))}_showOverlay(e,t){let{zone:r,target:n}=li.findDropTarget(this,e,t,this._edges);if(r==="invalid")return this.overlay.hide(100),r;let s,o,a,l,u=he.boxSizing(this.node),c=this.node.getBoundingClientRect();switch(r){case"root-all":s=u.paddingTop,o=u.paddingLeft,a=u.paddingRight,l=u.paddingBottom;break;case"root-top":s=u.paddingTop,o=u.paddingLeft,a=u.paddingRight,l=c.height*li.GOLDEN_RATIO;break;case"root-left":s=u.paddingTop,o=u.paddingLeft,a=c.width*li.GOLDEN_RATIO,l=u.paddingBottom;break;case"root-right":s=u.paddingTop,o=c.width*li.GOLDEN_RATIO,a=u.paddingRight,l=u.paddingBottom;break;case"root-bottom":s=c.height*li.GOLDEN_RATIO,o=u.paddingLeft,a=u.paddingRight,l=u.paddingBottom;break;case"widget-all":s=n.top,o=n.left,a=n.right,l=n.bottom;break;case"widget-top":s=n.top,o=n.left,a=n.right,l=n.bottom+n.height/2;break;case"widget-left":s=n.top,o=n.left,a=n.right+n.width/2,l=n.bottom;break;case"widget-right":s=n.top,o=n.left+n.width/2,a=n.right,l=n.bottom;break;case"widget-bottom":s=n.top+n.height/2,o=n.left,a=n.right,l=n.bottom;break;case"widget-tab":{let d=n.tabBar.node.getBoundingClientRect().height;s=n.top,o=n.left,a=n.right,l=n.bottom+n.height-d;break}default:throw"unreachable"}return this.overlay.show({top:s,left:o,right:a,bottom:l}),r}_createTabBar(){let e=this._renderer.createTabBar(this._document);return li.isGeneratedTabBarProperty.set(e,!0),this._mode==="single-document"&&e.hide(),e.tabsMovable=this._tabsMovable,e.allowDeselect=!1,e.addButtonEnabled=this._addButtonEnabled,e.removeBehavior="select-previous-tab",e.insertBehavior="select-tab-if-needed",e.tabMoved.connect(this._onTabMoved,this),e.currentChanged.connect(this._onCurrentChanged,this),e.tabCloseRequested.connect(this._onTabCloseRequested,this),e.tabDetachRequested.connect(this._onTabDetachRequested,this),e.tabActivateRequested.connect(this._onTabActivateRequested,this),e.addRequested.connect(this._onTabAddRequested,this),e}_createHandle(){return this._renderer.createHandle()}_onTabMoved(){ae.postMessage(this,li.LayoutModified)}_onCurrentChanged(e,t){let{previousTitle:r,currentTitle:n}=t;r&&r.owner.hide(),n&&n.owner.show(),(Ft.IS_EDGE||Ft.IS_IE)&&ae.flush(),ae.postMessage(this,li.LayoutModified)}_onTabAddRequested(e){this._addRequested.emit(e)}_onTabActivateRequested(e,t){t.title.owner.activate()}_onTabCloseRequested(e,t){t.title.owner.close()}_onTabDetachRequested(e,t){if(this._drag)return;e.releaseMouse();let{title:r,tab:n,clientX:s,clientY:o,offset:a}=t,l=new Ta.MimeData,u=()=>r.owner;l.setData("application/vnd.lumino.widget-factory",u);let c=n.cloneNode(!0);a&&(c.style.top=`-${a.y}px`,c.style.left=`-${a.x}px`),this._drag=new Ri({document:this._document,mimeData:l,dragImage:c,proposedAction:"move",supportedActions:"move",source:this}),n.classList.add("lm-mod-hidden");let d=()=>{this._drag=null,n.classList.remove("lm-mod-hidden")};this._drag.start(s,o).then(d)}};(function(i){class e{constructor(){this._timer=-1,this._hidden=!0,this.node=document.createElement("div"),this.node.classList.add("lm-DockPanel-overlay"),this.node.classList.add("lm-mod-hidden"),this.node.style.position="absolute",this.node.style.contain="strict"}show(n){let s=this.node.style;s.top=`${n.top}px`,s.left=`${n.left}px`,s.right=`${n.right}px`,s.bottom=`${n.bottom}px`,clearTimeout(this._timer),this._timer=-1,this._hidden&&(this._hidden=!1,this.node.classList.remove("lm-mod-hidden"))}hide(n){if(!this._hidden){if(n<=0){clearTimeout(this._timer),this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden");return}this._timer===-1&&(this._timer=window.setTimeout(()=>{this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden")},n))}}}i.Overlay=e;class t{createTabBar(n){let s=new zu({document:n});return s.addClass("lm-DockPanel-tabBar"),s}createHandle(){let n=document.createElement("div");return n.className="lm-DockPanel-handle",n}}i.Renderer=t,i.defaultRenderer=new t})(Zc||(Zc={}));(function(i){i.GOLDEN_RATIO=.618,i.DEFAULT_EDGES={top:12,right:40,bottom:40,left:40},i.LayoutModified=new Bu("layout-modified"),i.isGeneratedTabBarProperty=new Ye({name:"isGeneratedTabBar",create:()=>!1});function e(n){if(n.isEmpty)return{main:null};let s=Array.from(n.widgets()),o=n.selectedWidgets().next().value,a=o?s.indexOf(o):-1;return{main:{type:"tab-area",widgets:s,currentIndex:a}}}i.createSingleDocumentConfig=e;function t(n,s,o,a){if(!he.hitTest(n.node,s,o))return{zone:"invalid",target:null};let l=n.layout;if(l.isEmpty)return{zone:"root-all",target:null};if(n.mode==="multiple-document"){let y=n.node.getBoundingClientRect(),C=s-y.left+1,S=o-y.top+1,R=y.right-s,I=y.bottom-o;switch(Math.min(S,R,I,C)){case S:if(Sg&&h>g&&d>v&&f>v)return{zone:"widget-all",target:u};c/=g,d/=v,h/=g,f/=v;let _=Math.min(c,d,h,f),x;switch(_){case c:x="widget-left";break;case d:x="widget-top";break;case h:x="widget-right";break;case f:x="widget-bottom";break;default:throw"unreachable"}return{zone:x,target:u}}i.findDropTarget=t;function r(n){return n.titles.length===0?null:n.currentTitle?n.currentTitle.owner:n.titles[n.titles.length-1].owner}i.getDropRef=r})(li||(li={}));ka=class extends Oo{constructor(e={}){super(e),this._dirty=!1,this._rowSpacing=4,this._columnSpacing=4,this._items=[],this._rowStarts=[],this._columnStarts=[],this._rowSizers=[new Ro],this._columnSizers=[new Ro],this._box=null,e.rowCount!==void 0&&qi.reallocSizers(this._rowSizers,e.rowCount),e.columnCount!==void 0&&qi.reallocSizers(this._columnSizers,e.columnCount),e.rowSpacing!==void 0&&(this._rowSpacing=qi.clampValue(e.rowSpacing)),e.columnSpacing!==void 0&&(this._columnSpacing=qi.clampValue(e.columnSpacing))}dispose(){for(let e of this._items){let t=e.widget;e.dispose(),t.dispose()}this._box=null,this._items.length=0,this._rowStarts.length=0,this._rowSizers.length=0,this._columnStarts.length=0,this._columnSizers.length=0,super.dispose()}get rowCount(){return this._rowSizers.length}set rowCount(e){e!==this.rowCount&&(qi.reallocSizers(this._rowSizers,e),this.parent&&this.parent.fit())}get columnCount(){return this._columnSizers.length}set columnCount(e){e!==this.columnCount&&(qi.reallocSizers(this._columnSizers,e),this.parent&&this.parent.fit())}get rowSpacing(){return this._rowSpacing}set rowSpacing(e){e=qi.clampValue(e),this._rowSpacing!==e&&(this._rowSpacing=e,this.parent&&this.parent.fit())}get columnSpacing(){return this._columnSpacing}set columnSpacing(e){e=qi.clampValue(e),this._columnSpacing!==e&&(this._columnSpacing=e,this.parent&&this.parent.fit())}rowStretch(e){let t=this._rowSizers[e];return t?t.stretch:-1}setRowStretch(e,t){let r=this._rowSizers[e];r&&(t=qi.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}columnStretch(e){let t=this._columnSizers[e];return t?t.stretch:-1}setColumnStretch(e,t){let r=this._columnSizers[e];r&&(t=qi.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}*[Symbol.iterator](){for(let e of this._items)yield e.widget}addWidget(e){L.findFirstIndex(this._items,r=>r.widget===e)===-1&&(this._items.push(new Xc(e)),this.parent&&this.attachWidget(e))}removeWidget(e){let t=L.findFirstIndex(this._items,n=>n.widget===e);if(t===-1)return;let r=L.removeAt(this._items,t);this.parent&&this.detachWidget(e),r.dispose()}init(){super.init();for(let e of this)this.attachWidget(e)}attachWidget(e){this.parent.isAttached&&ae.sendMessage(e,W.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&ae.sendMessage(e,W.Msg.AfterAttach),this.parent.fit()}detachWidget(e){this.parent.isAttached&&ae.sendMessage(e,W.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&ae.sendMessage(e,W.Msg.AfterDetach),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){for(let l=0,u=this.rowCount;l!l.isHidden);for(let l=0,u=e.length;l({row:0,column:0,rowSpan:1,columnSpan:1}),changed:a});function e(l){let u=Math.max(0,Math.floor(l.row||0)),c=Math.max(0,Math.floor(l.column||0)),d=Math.max(1,Math.floor(l.rowSpan||0)),h=Math.max(1,Math.floor(l.columnSpan||0));return{row:u,column:c,rowSpan:d,columnSpan:h}}i.normalizeConfig=e;function t(l){return Math.max(0,Math.floor(l))}i.clampValue=t;function r(l,u){let c=i.cellConfigProperty.get(l.widget),d=i.cellConfigProperty.get(u.widget);return c.rowSpan-d.rowSpan}i.rowSpanCmp=r;function n(l,u){let c=i.cellConfigProperty.get(l.widget),d=i.cellConfigProperty.get(u.widget);return c.columnSpan-d.columnSpan}i.columnSpanCmp=n;function s(l,u){for(u=Math.max(1,Math.floor(u));l.lengthu&&(l.length=u)}i.reallocSizers=s;function o(l,u,c,d){if(c=d)return;let f=(d-h)/(c-u+1);for(let p=u;p<=c;++p)l[p].minSize+=f}i.distributeMin=o;function a(l){l.parent&&l.parent.layout instanceof ka&&l.parent.fit()}})(qi||(qi={}));Nh=class extends W{constructor(e={}){super({node:Ov.createNode()}),this._activeIndex=-1,this._tabFocusIndex=0,this._menus=[],this._childMenu=null,this._overflowMenu=null,this._menuItemSizes=[],this._overflowIndex=-1,this.addClass("lm-MenuBar"),this.setFlag(W.Flag.DisallowLayout),this.renderer=e.renderer||Nh.defaultRenderer,this._forceItemsPosition=e.forceItemsPosition||{forceX:!0,forceY:!0},this._overflowMenuOptions=e.overflowMenuOptions||{isVisible:!0}}dispose(){this._closeChildMenu(),this._menus.length=0,super.dispose()}get childMenu(){return this._childMenu}get overflowIndex(){return this._overflowIndex}get overflowMenu(){return this._overflowMenu}get contentNode(){return this.node.getElementsByClassName("lm-MenuBar-content")[0]}get activeMenu(){return this._menus[this._activeIndex]||null}set activeMenu(e){this.activeIndex=e?this._menus.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._menus.length)&&(e=-1),e>-1&&this._menus[e].items.length===0&&(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this.update())}get menus(){return this._menus}openActiveMenu(){this._activeIndex!==-1&&(this._openChildMenu(),this._childMenu&&(this._childMenu.activeIndex=-1,this._childMenu.activateNextItem()))}addMenu(e,t=!0){this.insertMenu(this._menus.length,e,t)}insertMenu(e,t,r=!0){this._closeChildMenu();let n=this._menus.indexOf(t),s=Math.max(0,Math.min(e,this._menus.length));if(n===-1){L.insert(this._menus,s,t),t.addClass("lm-MenuBar-menu"),t.aboutToClose.connect(this._onMenuAboutToClose,this),t.menuRequested.connect(this._onMenuMenuRequested,this),t.title.changed.connect(this._onTitleChanged,this),r&&this.update();return}s===this._menus.length&&s--,n!==s&&(L.move(this._menus,n,s),r&&this.update())}removeMenu(e,t=!0){this.removeMenuAt(this._menus.indexOf(e),t)}removeMenuAt(e,t=!0){this._closeChildMenu();let r=L.removeAt(this._menus,e);r&&(r.aboutToClose.disconnect(this._onMenuAboutToClose,this),r.menuRequested.disconnect(this._onMenuMenuRequested,this),r.title.changed.disconnect(this._onTitleChanged,this),r.removeClass("lm-MenuBar-menu"),t&&this.update())}clearMenus(){if(this._menus.length!==0){this._closeChildMenu();for(let e of this._menus)e.aboutToClose.disconnect(this._onMenuAboutToClose,this),e.menuRequested.disconnect(this._onMenuMenuRequested,this),e.title.changed.disconnect(this._onTitleChanged,this),e.removeClass("lm-MenuBar-menu");this._menus.length=0,this.update()}}handleEvent(e){switch(e.type){case"keydown":this._evtKeyDown(e);break;case"mousedown":this._evtMouseDown(e);break;case"mousemove":case"mouseleave":this._evtMouseMove(e);break;case"focusout":this._evtFocusOut(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("keydown",this),this.node.addEventListener("mousedown",this),this.node.addEventListener("mousemove",this),this.node.addEventListener("mouseleave",this),this.node.addEventListener("focusout",this),this.node.addEventListener("contextmenu",this)}onAfterDetach(e){this.node.removeEventListener("keydown",this),this.node.removeEventListener("mousedown",this),this.node.removeEventListener("mousemove",this),this.node.removeEventListener("mouseleave",this),this.node.removeEventListener("focusout",this),this.node.removeEventListener("contextmenu",this),this._closeChildMenu()}onActivateRequest(e){this.isAttached&&this._focusItemAt(0)}onResize(e){this.update(),super.onResize(e)}onUpdateRequest(e){var t;let r=this._menus,n=this.renderer,s=this._activeIndex,o=this._tabFocusIndex>=0&&this._tabFocusIndex-1?this._overflowIndex:r.length,l=0,u=!1;a=this._overflowMenu!==null?a-1:a;let c=new Array(a);for(let d=0;d{this._tabFocusIndex=d,this.activeIndex=d}}),l+=this._menuItemSizes[d],r[d].title.label===this._overflowMenuOptions.title&&(u=!0,a--);if(this._overflowMenuOptions.isVisible){if(this._overflowIndex>-1&&!u){if(this._overflowMenu===null){let d=(t=this._overflowMenuOptions.title)!==null&&t!==void 0?t:"...";this._overflowMenu=new Do({commands:new ti}),this._overflowMenu.title.label=d,this._overflowMenu.title.mnemonic=0,this.addMenu(this._overflowMenu,!1)}for(let d=r.length-2;d>=a;d--){let h=this.menus[d];h.title.mnemonic=0,this._overflowMenu.insertItem(0,{type:"submenu",submenu:h}),this.removeMenu(h,!1)}c[a]=n.renderItem({title:this._overflowMenu.title,active:a===s&&r[a].items.length!==0,tabbable:a===o,disabled:r[a].items.length===0,onfocus:()=>{this._tabFocusIndex=a,this.activeIndex=a}}),a++}else if(this._overflowMenu!==null){let d=this._overflowMenu.items,h=this.node.offsetWidth,f=this._overflowMenu.items.length;for(let p=0;pthis._menuItemSizes[g]){let v=d[0].submenu;this._overflowMenu.removeItemAt(0),this.insertMenu(a,v,!1),c[a]=n.renderItem({title:v.title,active:!1,tabbable:a===o,disabled:r[a].items.length===0,onfocus:()=>{this._tabFocusIndex=a,this.activeIndex=a}}),a++}}this._overflowMenu.items.length===0&&(this.removeMenu(this._overflowMenu,!1),c.pop(),this._overflowMenu=null,this._overflowIndex=-1)}}Pt.render(c,this.contentNode),this._updateOverflowIndex()}_updateOverflowIndex(){if(!this._overflowMenuOptions.isVisible)return;let e=this.contentNode.childNodes,t=this.node.offsetWidth,r=0,n=-1,s=e.length;if(this._menuItemSizes.length==0)for(let o=0;ot&&n===-1&&(n=o)}else for(let o=0;ot){n=o;break}this._overflowIndex=n}_evtKeyDown(e){let t=e.keyCode;if(t===9){this.activeIndex=-1;return}if(e.preventDefault(),e.stopPropagation(),t===13||t===32||t===38||t===40){if(this.activeIndex=this._tabFocusIndex,this.activeIndex!==this._tabFocusIndex)return;this.openActiveMenu();return}if(t===27){this._closeChildMenu(),this._focusItemAt(this.activeIndex);return}if(t===37||t===39){let o=t===37?-1:1,a=this._tabFocusIndex+o,l=this._menus.length;for(let u=0;uhe.hitTest(r,e.clientX,e.clientY));if(t===-1){this._closeChildMenu();return}if(e.button===0)if(this._childMenu)this._closeChildMenu(),this.activeIndex=t;else{e.preventDefault();let r=this._positionForMenu(t);Do.saveWindowData(),this.activeIndex=t,this._openChildMenu(r)}}_evtMouseMove(e){let t=L.findFirstIndex(this.contentNode.children,n=>he.hitTest(n,e.clientX,e.clientY));if(t===this._activeIndex||t===-1&&this._childMenu)return;let r=t>=0&&this._childMenu?this._positionForMenu(t):null;Do.saveWindowData(),this.activeIndex=t,r&&this._openChildMenu(r)}_positionForMenu(e){let t=this.contentNode.children[e],{left:r,bottom:n}=t.getBoundingClientRect();return{top:n,left:r}}_evtFocusOut(e){!this._childMenu&&!this.node.contains(e.relatedTarget)&&(this.activeIndex=-1)}_focusItemAt(e){let t=this.contentNode.childNodes[e];t&&t.focus()}_openChildMenu(e={}){let t=this.activeMenu;if(!t){this._closeChildMenu();return}let r=this._childMenu;if(r===t)return;this._childMenu=t,r?r.close():document.addEventListener("mousedown",this,!0),this._tabFocusIndex=this.activeIndex,ae.sendMessage(this,W.Msg.UpdateRequest);let{left:n,top:s}=e;(typeof n>"u"||typeof s>"u")&&({left:n,top:s}=this._positionForMenu(this._activeIndex)),r||this.addClass("lm-mod-active"),t.items.length>0&&t.open(n,s,this._forceItemsPosition)}_closeChildMenu(){if(!this._childMenu)return;this.removeClass("lm-mod-active"),document.removeEventListener("mousedown",this,!0);let e=this._childMenu;this._childMenu=null,e.close(),this.activeIndex=-1}_onMenuAboutToClose(e){e===this._childMenu&&(this.removeClass("lm-mod-active"),document.removeEventListener("mousedown",this,!0),this._childMenu=null,this.activeIndex=-1)}_onMenuMenuRequested(e,t){if(e!==this._childMenu)return;let r=this._activeIndex,n=this._menus.length;switch(t){case"next":this.activeIndex=r===n-1?0:r+1;break;case"previous":this.activeIndex=r===0?n-1:r-1;break}this.openActiveMenu()}_onTitleChanged(){this.update()}};(function(i){class e{renderItem(r){let n=this.createItemClass(r),s=this.createItemDataset(r),o=this.createItemARIA(r);return 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className(){return this._className}set className(e){this._className!==e&&(this._className=e,this._changed.emit(void 0))}get closable(){return this._closable}set closable(e){this._closable!==e&&(this._closable=e,this._changed.emit(void 0))}get dataset(){return this._dataset}set dataset(e){this._dataset!==e&&(this._dataset=e,this._changed.emit(void 0))}get isDisposed(){return this._isDisposed}dispose(){this.isDisposed||(this._isDisposed=!0,G.clearData(this))}},V=class{constructor(e={}){this._flags=0,this._layout=null,this._parent=null,this._disposed=new G(this),this._hiddenMode=V.HiddenMode.Display,this.node=Pv.createNode(e),this.addClass("lm-Widget")}dispose(){this.isDisposed||(this.setFlag(V.Flag.IsDisposed),this._disposed.emit(void 0),this.parent?this.parent=null:this.isAttached&&V.detach(this),this._layout&&(this._layout.dispose(),this._layout=null),this.title.dispose(),G.clearData(this),se.clearData(this),Ye.clearData(this))}get disposed(){return this._disposed}get isDisposed(){return this.testFlag(V.Flag.IsDisposed)}get isAttached(){return this.testFlag(V.Flag.IsAttached)}get isHidden(){return this.testFlag(V.Flag.IsHidden)}get isVisible(){let e=this;do{if(e.isHidden||!e.isAttached)return!1;e=e.parent}while(e!=null);return!0}get title(){return Pv.titleProperty.get(this)}get id(){return this.node.id}set id(e){this.node.id=e}get dataset(){return this.node.dataset}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){this._hiddenMode!==e&&(this.isHidden&&this._toggleHidden(!1),e==V.HiddenMode.Scale?this.node.style.willChange="transform":this.node.style.willChange="auto",this._hiddenMode=e,this.isHidden&&this._toggleHidden(!0))}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(e&&this.contains(e))throw new Error("Invalid parent widget.");if(this._parent&&!this._parent.isDisposed){let t=new V.ChildMessage("child-removed",this);se.sendMessage(this._parent,t)}if(this._parent=e,this._parent&&!this._parent.isDisposed){let t=new V.ChildMessage("child-added",this);se.sendMessage(this._parent,t)}this.isDisposed||se.sendMessage(this,V.Msg.ParentChanged)}}get layout(){return this._layout}set layout(e){if(this._layout!==e){if(this.testFlag(V.Flag.DisallowLayout))throw new Error("Cannot set widget layout.");if(this._layout)throw new Error("Cannot change widget layout.");if(e.parent)throw new Error("Cannot change layout parent.");this._layout=e,e.parent=this}}*children(){this._layout&&(yield*this._layout)}contains(e){for(let t=e;t;t=t._parent)if(t===this)return!0;return!1}hasClass(e){return this.node.classList.contains(e)}addClass(e){this.node.classList.add(e)}removeClass(e){this.node.classList.remove(e)}toggleClass(e,t){return t===!0?(this.node.classList.add(e),!0):t===!1?(this.node.classList.remove(e),!1):this.node.classList.toggle(e)}update(){se.postMessage(this,V.Msg.UpdateRequest)}fit(){se.postMessage(this,V.Msg.FitRequest)}activate(){se.postMessage(this,V.Msg.ActivateRequest)}close(){se.sendMessage(this,V.Msg.CloseRequest)}show(){if(this.testFlag(V.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&se.sendMessage(this,V.Msg.BeforeShow),this.clearFlag(V.Flag.IsHidden),this._toggleHidden(!1),this.isAttached&&(!this.parent||this.parent.isVisible)&&se.sendMessage(this,V.Msg.AfterShow),this.parent)){let e=new V.ChildMessage("child-shown",this);se.sendMessage(this.parent,e)}}hide(){if(!this.testFlag(V.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&se.sendMessage(this,V.Msg.BeforeHide),this.setFlag(V.Flag.IsHidden),this._toggleHidden(!0),this.isAttached&&(!this.parent||this.parent.isVisible)&&se.sendMessage(this,V.Msg.AfterHide),this.parent)){let e=new V.ChildMessage("child-hidden",this);se.sendMessage(this.parent,e)}}setHidden(e){e?this.hide():this.show()}testFlag(e){return(this._flags&e)!==0}setFlag(e){this._flags|=e}clearFlag(e){this._flags&=~e}processMessage(e){switch(e.type){case"resize":this.notifyLayout(e),this.onResize(e);break;case"update-request":this.notifyLayout(e),this.onUpdateRequest(e);break;case"fit-request":this.notifyLayout(e),this.onFitRequest(e);break;case"before-show":this.notifyLayout(e),this.onBeforeShow(e);break;case"after-show":this.setFlag(V.Flag.IsVisible),this.notifyLayout(e),this.onAfterShow(e);break;case"before-hide":this.notifyLayout(e),this.onBeforeHide(e);break;case"after-hide":this.clearFlag(V.Flag.IsVisible),this.notifyLayout(e),this.onAfterHide(e);break;case"before-attach":this.notifyLayout(e),this.onBeforeAttach(e);break;case"after-attach":!this.isHidden&&(!this.parent||this.parent.isVisible)&&this.setFlag(V.Flag.IsVisible),this.setFlag(V.Flag.IsAttached),this.notifyLayout(e),this.onAfterAttach(e);break;case"before-detach":this.notifyLayout(e),this.onBeforeDetach(e);break;case"after-detach":this.clearFlag(V.Flag.IsVisible),this.clearFlag(V.Flag.IsAttached),this.notifyLayout(e),this.onAfterDetach(e);break;case"activate-request":this.notifyLayout(e),this.onActivateRequest(e);break;case"close-request":this.notifyLayout(e),this.onCloseRequest(e);break;case"child-added":this.notifyLayout(e),this.onChildAdded(e);break;case"child-removed":this.notifyLayout(e),this.onChildRemoved(e);break;default:this.notifyLayout(e);break}}notifyLayout(e){this._layout&&this._layout.processParentMessage(e)}onCloseRequest(e){this.parent?this.parent=null:this.isAttached&&V.detach(this)}onResize(e){}onUpdateRequest(e){}onFitRequest(e){}onActivateRequest(e){}onBeforeShow(e){}onAfterShow(e){}onBeforeHide(e){}onAfterHide(e){}onBeforeAttach(e){}onAfterAttach(e){}onBeforeDetach(e){}onAfterDetach(e){}onChildAdded(e){}onChildRemoved(e){}_toggleHidden(e){if(e)switch(this._hiddenMode){case V.HiddenMode.Display:this.addClass("lm-mod-hidden");break;case V.HiddenMode.Scale:this.node.style.transform="scale(0)",this.node.setAttribute("aria-hidden","true");break;case V.HiddenMode.ContentVisibility:this.node.style.contentVisibility="hidden",this.node.style.zIndex="-1";break}else switch(this._hiddenMode){case V.HiddenMode.Display:this.removeClass("lm-mod-hidden");break;case V.HiddenMode.Scale:this.node.style.transform="",this.node.removeAttribute("aria-hidden");break;case V.HiddenMode.ContentVisibility:this.node.style.contentVisibility="",this.node.style.zIndex="";break}}};(function(i){(function(s){s[s.Display=0]="Display",s[s.Scale=1]="Scale",s[s.ContentVisibility=2]="ContentVisibility"})(i.HiddenMode||(i.HiddenMode={})),function(s){s[s.IsDisposed=1]="IsDisposed",s[s.IsAttached=2]="IsAttached",s[s.IsHidden=4]="IsHidden",s[s.IsVisible=8]="IsVisible",s[s.DisallowLayout=16]="DisallowLayout"}(i.Flag||(i.Flag={})),function(s){s.BeforeShow=new en("before-show"),s.AfterShow=new en("after-show"),s.BeforeHide=new en("before-hide"),s.AfterHide=new en("after-hide"),s.BeforeAttach=new en("before-attach"),s.AfterAttach=new en("after-attach"),s.BeforeDetach=new en("before-detach"),s.AfterDetach=new en("after-detach"),s.ParentChanged=new en("parent-changed"),s.UpdateRequest=new qu("update-request"),s.FitRequest=new qu("fit-request"),s.ActivateRequest=new qu("activate-request"),s.CloseRequest=new qu("close-request")}(i.Msg||(i.Msg={}));class e extends en{constructor(o,a){super(o),this.child=a}}i.ChildMessage=e;class t extends en{constructor(o,a){super("resize"),this.width=o,this.height=a}}i.ResizeMessage=t,function(s){s.UnknownSize=new s(-1,-1)}(t=i.ResizeMessage||(i.ResizeMessage={}));function r(s,o,a=null){if(s.parent)throw new Error("Cannot attach a child widget.");if(s.isAttached||s.node.isConnected)throw new Error("Widget is already attached.");if(!o.isConnected)throw new Error("Host is not attached.");se.sendMessage(s,i.Msg.BeforeAttach),o.insertBefore(s.node,a),se.sendMessage(s,i.Msg.AfterAttach)}i.attach=r;function n(s){if(s.parent)throw new Error("Cannot detach a child widget.");if(!s.isAttached||!s.node.isConnected)throw new Error("Widget is not attached.");se.sendMessage(s,i.Msg.BeforeDetach),s.node.parentNode.removeChild(s.node),se.sendMessage(s,i.Msg.AfterDetach)}i.detach=n})(V||(V={}));(function(i){i.titleProperty=new Ye({name:"title",create:t=>new bm({owner:t})});function e(t){return t.node||document.createElement(t.tag||"div")}i.createNode=e})(Pv||(Pv={}));Po=class{constructor(e={}){this._disposed=!1,this._parent=null,this._fitPolicy=e.fitPolicy||"set-min-size"}dispose(){this._parent=null,this._disposed=!0,G.clearData(this),Ye.clearData(this)}get isDisposed(){return this._disposed}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(this._parent)throw new Error("Cannot change parent widget.");if(e.layout!==this)throw new Error("Invalid parent widget.");this._parent=e,this.init()}}get fitPolicy(){return this._fitPolicy}set fitPolicy(e){if(this._fitPolicy!==e&&(this._fitPolicy=e,this._parent)){let t=this._parent.node.style;t.minWidth="",t.minHeight="",t.maxWidth="",t.maxHeight="",this._parent.fit()}}processParentMessage(e){switch(e.type){case"resize":this.onResize(e);break;case"update-request":this.onUpdateRequest(e);break;case"fit-request":this.onFitRequest(e);break;case"before-show":this.onBeforeShow(e);break;case"after-show":this.onAfterShow(e);break;case"before-hide":this.onBeforeHide(e);break;case"after-hide":this.onAfterHide(e);break;case"before-attach":this.onBeforeAttach(e);break;case"after-attach":this.onAfterAttach(e);break;case"before-detach":this.onBeforeDetach(e);break;case"after-detach":this.onAfterDetach(e);break;case"child-removed":this.onChildRemoved(e);break;case"child-shown":this.onChildShown(e);break;case"child-hidden":this.onChildHidden(e);break}}init(){for(let e of this)e.parent=this.parent}onResize(e){for(let t of this)se.sendMessage(t,V.ResizeMessage.UnknownSize)}onUpdateRequest(e){for(let t of this)se.sendMessage(t,V.ResizeMessage.UnknownSize)}onBeforeAttach(e){for(let t of this)se.sendMessage(t,e)}onAfterAttach(e){for(let t of this)se.sendMessage(t,e)}onBeforeDetach(e){for(let t of this)se.sendMessage(t,e)}onAfterDetach(e){for(let t of this)se.sendMessage(t,e)}onBeforeShow(e){for(let t of this)t.isHidden||se.sendMessage(t,e)}onAfterShow(e){for(let t of this)t.isHidden||se.sendMessage(t,e)}onBeforeHide(e){for(let t of this)t.isHidden||se.sendMessage(t,e)}onAfterHide(e){for(let t of this)t.isHidden||se.sendMessage(t,e)}onChildRemoved(e){this.removeWidget(e.child)}onFitRequest(e){}onChildShown(e){}onChildHidden(e){}};(function(i){function e(s){return zh.horizontalAlignmentProperty.get(s)}i.getHorizontalAlignment=e;function t(s,o){zh.horizontalAlignmentProperty.set(s,o)}i.setHorizontalAlignment=t;function r(s){return zh.verticalAlignmentProperty.get(s)}i.getVerticalAlignment=r;function n(s,o){zh.verticalAlignmentProperty.set(s,o)}i.setVerticalAlignment=n})(Po||(Po={}));td=class{constructor(e){this._top=NaN,this._left=NaN,this._width=NaN,this._height=NaN,this._minWidth=0,this._minHeight=0,this._maxWidth=1/0,this._maxHeight=1/0,this._disposed=!1,this.widget=e,this.widget.node.style.position="absolute",this.widget.node.style.contain="strict"}dispose(){if(this._disposed)return;this._disposed=!0;let e=this.widget.node.style;e.position="",e.top="",e.left="",e.width="",e.height="",e.contain=""}get minWidth(){return this._minWidth}get minHeight(){return this._minHeight}get maxWidth(){return this._maxWidth}get maxHeight(){return this._maxHeight}get isDisposed(){return this._disposed}get isHidden(){return this.widget.isHidden}get isVisible(){return this.widget.isVisible}get isAttached(){return this.widget.isAttached}fit(){let e=he.sizeLimits(this.widget.node);this._minWidth=e.minWidth,this._minHeight=e.minHeight,this._maxWidth=e.maxWidth,this._maxHeight=e.maxHeight}update(e,t,r,n){let s=Math.max(this._minWidth,Math.min(r,this._maxWidth)),o=Math.max(this._minHeight,Math.min(n,this._maxHeight));if(s"center",changed:e}),i.verticalAlignmentProperty=new Ye({name:"verticalAlignment",create:()=>"top",changed:e});function e(t){t.parent&&t.parent.layout&&t.parent.update()}})(zh||(zh={}));Hu=class extends Po{constructor(){super(...arguments),this._widgets=[]}dispose(){for(;this._widgets.length>0;)this._widgets.pop().dispose();super.dispose()}get widgets(){return this._widgets}*[Symbol.iterator](){yield*this._widgets}addWidget(e){this.insertWidget(this._widgets.length,e)}insertWidget(e,t){t.parent=this.parent;let r=this._widgets.indexOf(t),n=Math.max(0,Math.min(e,this._widgets.length));if(r===-1){L.insert(this._widgets,n,t),this.parent&&this.attachWidget(n,t);return}n===this._widgets.length&&n--,r!==n&&(L.move(this._widgets,r,n),this.parent&&this.moveWidget(r,n,t))}removeWidget(e){this.removeWidgetAt(this._widgets.indexOf(e))}removeWidgetAt(e){let t=L.removeAt(this._widgets,e);t&&this.parent&&this.detachWidget(e,t)}init(){super.init();let e=0;for(let t of this)this.attachWidget(e++,t)}attachWidget(e,t){let r=this.parent.node.children[e];this.parent.isAttached&&se.sendMessage(t,V.Msg.BeforeAttach),this.parent.node.insertBefore(t.node,r),this.parent.isAttached&&se.sendMessage(t,V.Msg.AfterAttach)}moveWidget(e,t,r){this.parent.isAttached&&se.sendMessage(r,V.Msg.BeforeDetach),this.parent.node.removeChild(r.node),this.parent.isAttached&&se.sendMessage(r,V.Msg.AfterDetach);let n=this.parent.node.children[t];this.parent.isAttached&&se.sendMessage(r,V.Msg.BeforeAttach),this.parent.node.insertBefore(r.node,n),this.parent.isAttached&&se.sendMessage(r,V.Msg.AfterAttach)}detachWidget(e,t){this.parent.isAttached&&se.sendMessage(t,V.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&se.sendMessage(t,V.Msg.AfterDetach)}};(function(i){function e(t){return Math.max(0,Math.floor(t))}i.clampDimension=e})(vm||(vm={}));_m=vm,Gs=class extends Hu{constructor(e){super(),this.widgetOffset=0,this._fixed=0,this._spacing=4,this._dirty=!1,this._hasNormedSizes=!1,this._sizers=[],this._items=[],this._handles=[],this._box=null,this._alignment="start",this._orientation="horizontal",this.renderer=e.renderer,e.orientation!==void 0&&(this._orientation=e.orientation),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=vm.clampDimension(e.spacing))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,this._handles.length=0,super.dispose()}get orientation(){return this._orientation}set orientation(e){this._orientation!==e&&(this._orientation=e,this.parent&&(this.parent.dataset.orientation=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=vm.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get handles(){return this._handles}absoluteSizes(){return this._sizers.map(e=>e.size)}relativeSizes(){return Da.normalize(this._sizers.map(e=>e.size))}setRelativeSizes(e,t=!0){let r=this._sizers.length,n=e.slice(0,r);for(;n.length0&&(s.sizeHint=s.size);Un.adjust(this._sizers,e,n),this.parent&&this.parent.update()}}init(){this.parent.dataset.orientation=this.orientation,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){let r=new td(t),n=Da.createHandle(this.renderer),s=Da.averageSize(this._sizers),o=Da.createSizer(s);L.insert(this._items,e,r),L.insert(this._sizers,e,o),L.insert(this._handles,e,n),this.parent.isAttached&&se.sendMessage(t,V.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.node.appendChild(n),this.parent.isAttached&&se.sendMessage(t,V.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){L.move(this._items,e,t),L.move(this._sizers,e,t),L.move(this._handles,e,t),this.parent.fit()}detachWidget(e,t){let r=L.removeAt(this._items,e),n=L.removeAt(this._handles,e);L.removeAt(this._sizers,e),this.parent.isAttached&&se.sendMessage(t,V.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.node.removeChild(n),this.parent.isAttached&&se.sendMessage(t,V.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}updateItemPosition(e,t,r,n,s,o,a){let l=this._items[e];if(l.isHidden)return;let u=this._handles[e].style;t?(r+=this.widgetOffset,l.update(r,n,a,s),r+=a,u.top=`${n}px`,u.left=`${r}px`,u.width=`${this._spacing}px`,u.height=`${s}px`):(n+=this.widgetOffset,l.update(r,n,o,a),n+=a,u.top=`${n}px`,u.left=`${r}px`,u.width=`${o}px`,u.height=`${this._spacing}px`)}_fit(){let e=0,t=-1;for(let l=0,u=this._items.length;l0&&(d.sizeHint=d.size),c.isHidden){d.minSize=0,d.maxSize=0;continue}c.fit(),d.stretch=Gs.getStretch(c.widget),r?(d.minSize=c.minWidth,d.maxSize=c.maxWidth,n+=c.minWidth,s=Math.max(s,c.minHeight)):(d.minSize=c.minHeight,d.maxSize=c.maxHeight,s+=c.minHeight,n=Math.max(n,c.minWidth))}let o=this._box=he.boxSizing(this.parent.node);n+=o.horizontalSum,s+=o.verticalSum;let a=this.parent.node.style;a.minWidth=`${n}px`,a.minHeight=`${s}px`,this._dirty=!0,this.parent.parent&&se.sendMessage(this.parent.parent,V.Msg.FitRequest),this._dirty&&se.sendMessage(this.parent,V.Msg.UpdateRequest)}_update(e,t){this._dirty=!1;let r=0;for(let d=0,h=this._items.length;d0){let d;if(c?d=Math.max(0,o-this._fixed):d=Math.max(0,a-this._fixed),this._hasNormedSizes){for(let f of this._sizers)f.sizeHint*=d;this._hasNormedSizes=!1}let h=Un.calc(this._sizers,d);if(h>0)switch(this._alignment){case"start":break;case"center":l=0,u=h/2;break;case"end":l=0,u=h;break;case"justify":l=h/r,u=0;break;default:throw"unreachable"}}for(let d=0,h=this._items.length;d0,coerce:(o,a)=>Math.max(0,Math.floor(a)),changed:s});function e(o){let a=new Lo;return a.sizeHint=Math.floor(o),a}i.createSizer=e;function t(o){let a=o.createHandle();return a.style.position="absolute",a.style.contain="style",a}i.createHandle=t;function r(o){return o.reduce((a,l)=>a+l.size,0)/o.length||0}i.averageSize=r;function n(o){let a=o.length;if(a===0)return[];let l=o.reduce((u,c)=>u+Math.abs(c),0);return l===0?o.map(u=>1/a):o.map(u=>u/l)}i.normalize=n;function s(o){o.parent&&o.parent.layout instanceof Gs&&o.parent.fit()}})(Da||(Da={}));y4=class extends Gs{constructor(e){super({...e,orientation:e.orientation||"vertical"}),this._titles=[],this.titleSpace=e.titleSpace||22}get titleSpace(){return this.widgetOffset}set titleSpace(e){e=_m.clampDimension(e),this.widgetOffset!==e&&(this.widgetOffset=e,this.parent&&this.parent.fit())}get titles(){return this._titles}dispose(){this.isDisposed||(this._titles.length=0,super.dispose())}updateTitle(e,t){let r=this._titles[e],n=r.classList.contains("lm-mod-expanded"),s=Fv.createTitle(this.renderer,t.title,n);this._titles[e]=s,this.parent.node.replaceChild(s,r)}insertWidget(e,t){t.id||(t.id=`id-${La.UUID.uuid4()}`),super.insertWidget(e,t)}attachWidget(e,t){let r=Fv.createTitle(this.renderer,t.title);L.insert(this._titles,e,r),this.parent.node.appendChild(r),t.node.setAttribute("role","region"),t.node.setAttribute("aria-labelledby",r.id),super.attachWidget(e,t)}moveWidget(e,t,r){L.move(this._titles,e,t),super.moveWidget(e,t,r)}detachWidget(e,t){let r=L.removeAt(this._titles,e);this.parent.node.removeChild(r),super.detachWidget(e,t)}updateItemPosition(e,t,r,n,s,o,a){let l=this._titles[e].style;l.top=`${n}px`,l.left=`${r}px`,l.height=`${this.widgetOffset}px`,t?l.width=`${s}px`:l.width=`${o}px`,super.updateItemPosition(e,t,r,n,s,o,a)}};(function(i){function e(t,r,n=!0){let s=t.createSectionTitle(r);return s.style.position="absolute",s.style.contain="strict",s.setAttribute("aria-label",`${r.label} Section`),s.setAttribute("aria-expanded",n?"true":"false"),s.setAttribute("aria-controls",r.owner.id),n&&s.classList.add("lm-mod-expanded"),s}i.createTitle=e})(Fv||(Fv={}));$a=class extends V{constructor(e={}){super(),this.addClass("lm-Panel"),this.layout=x4.createLayout(e)}get widgets(){return this.layout.widgets}addWidget(e){this.layout.addWidget(e)}insertWidget(e,t){this.layout.insertWidget(e,t)}};(function(i){function e(t){return t.layout||new Hu}i.createLayout=e})(x4||(x4={}));xn=class extends $a{constructor(e={}){super({layout:w4.createLayout(e)}),this._handleMoved=new G(this),this._pressData=null,this.addClass("lm-SplitPanel")}dispose(){this._releaseMouse(),super.dispose()}get orientation(){return this.layout.orientation}set orientation(e){this.layout.orientation=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get renderer(){return this.layout.renderer}get handleMoved(){return this._handleMoved}get handles(){return this.layout.handles}relativeSizes(){return this.layout.relativeSizes()}setRelativeSizes(e,t=!0){this.layout.setRelativeSizes(e,t)}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){e.child.addClass("lm-SplitPanel-child"),this._releaseMouse()}onChildRemoved(e){e.child.removeClass("lm-SplitPanel-child"),this._releaseMouse()}_evtKeyDown(e){this._pressData&&(e.preventDefault(),e.stopPropagation()),e.keyCode===27&&this._releaseMouse()}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=L.findFirstIndex(t.handles,u=>u.contains(e.target));if(r===-1)return;e.preventDefault(),e.stopPropagation(),document.addEventListener("pointerup",this,!0),document.addEventListener("pointermove",this,!0),document.addEventListener("keydown",this,!0),document.addEventListener("contextmenu",this,!0);let n,s=t.handles[r],o=s.getBoundingClientRect();t.orientation==="horizontal"?n=e.clientX-o.left:n=e.clientY-o.top;let a=window.getComputedStyle(s),l=Di.overrideCursor(a.cursor);this._pressData={index:r,delta:n,override:l}}_evtPointerMove(e){e.preventDefault(),e.stopPropagation();let t,r=this.layout,n=this.node.getBoundingClientRect();r.orientation==="horizontal"?t=e.clientX-n.left-this._pressData.delta:t=e.clientY-n.top-this._pressData.delta,r.moveHandle(this._pressData.index,t)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse())}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._handleMoved.emit(),document.removeEventListener("keydown",this,!0),document.removeEventListener("pointerup",this,!0),document.removeEventListener("pointermove",this,!0),document.removeEventListener("contextmenu",this,!0))}};(function(i){class e{createHandle(){let s=document.createElement("div");return s.className="lm-SplitPanel-handle",s}}i.Renderer=e,i.defaultRenderer=new e;function t(n){return Gs.getStretch(n)}i.getStretch=t;function r(n,s){Gs.setStretch(n,s)}i.setStretch=r})(xn||(xn={}));(function(i){function e(t){return t.layout||new Gs({renderer:t.renderer||xn.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing})}i.createLayout=e})(w4||(w4={}));ym=class extends xn{constructor(e={}){super({...e,layout:S4.createLayout(e)}),this._widgetSizesCache=new WeakMap,this._expansionToggled=new G(this),this.addClass("lm-AccordionPanel")}get renderer(){return this.layout.renderer}get titleSpace(){return this.layout.titleSpace}set titleSpace(e){this.layout.titleSpace=e}get titles(){return this.layout.titles}get expansionToggled(){return this._expansionToggled}addWidget(e){super.addWidget(e),e.title.changed.connect(this._onTitleChanged,this)}collapse(e){let t=this.layout.widgets[e];t&&!t.isHidden&&this._toggleExpansion(e)}expand(e){let t=this.layout.widgets[e];t&&t.isHidden&&this._toggleExpansion(e)}insertWidget(e,t){super.insertWidget(e,t),t.title.changed.connect(this._onTitleChanged,this)}handleEvent(e){switch(super.handleEvent(e),e.type){case"click":this._evtClick(e);break;case"keydown":this._eventKeyDown(e);break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),super.onBeforeAttach(e)}onAfterDetach(e){super.onAfterDetach(e),this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this)}_onTitleChanged(e){let t=L.findFirstIndex(this.widgets,r=>r.contains(e.owner));t>=0&&(this.layout.updateTitle(t,e.owner),this.update())}_computeWidgetSize(e){let t=this.layout,r=t.widgets[e];if(!r)return;let n=r.isHidden,s=t.absoluteSizes(),o=(n?-1:1)*this.spacing,a=s.reduce((u,c)=>u+c),l=[...s];if(n){let u=this._widgetSizesCache.get(r);if(!u)return;l[e]+=u;let c=l.map(d=>d-u>0).lastIndexOf(!0);c===-1?l.forEach((d,h)=>{h!==e&&(l[h]-=s[h]/a*(u-o))}):l[c]-=u-o}else{let u=s[e];this._widgetSizesCache.set(r,u),l[e]=0;let c=l.map(d=>d>0).lastIndexOf(!0);if(c===-1)return;l[c]=s[c]+u+o}return l.map(u=>u/(a+o))}_evtClick(e){let t=e.target;if(t){let r=L.findFirstIndex(this.titles,n=>n.contains(t));r>=0&&(e.preventDefault(),e.stopPropagation(),this._toggleExpansion(r))}}_eventKeyDown(e){if(e.defaultPrevented)return;let t=e.target,r=!1;if(t){let n=L.findFirstIndex(this.titles,s=>s.contains(t));if(n>=0){let s=e.keyCode.toString();if(e.key.match(/Space|Enter/)||s.match(/13|32/))t.click(),r=!0;else if(this.orientation==="horizontal"?e.key.match(/ArrowLeft|ArrowRight/)||s.match(/37|39/):e.key.match(/ArrowUp|ArrowDown/)||s.match(/38|40/)){let o=e.key.match(/ArrowLeft|ArrowUp/)||s.match(/37|38/)?-1:1,a=this.titles.length,l=(n+a+o)%a;this.titles[l].focus(),r=!0}else e.key==="End"||s==="35"?(this.titles[this.titles.length-1].focus(),r=!0):(e.key==="Home"||s==="36")&&(this.titles[0].focus(),r=!0)}r&&e.preventDefault()}}_toggleExpansion(e){let t=this.titles[e],r=this.layout.widgets[e],n=this._computeWidgetSize(e);n&&this.setRelativeSizes(n,!1),r.isHidden?(t.classList.add("lm-mod-expanded"),t.setAttribute("aria-expanded","true"),r.show()):(t.classList.remove("lm-mod-expanded"),t.setAttribute("aria-expanded","false"),r.hide()),this._expansionToggled.emit(e)}};(function(i){class e extends xn.Renderer{constructor(){super(),this.titleClassName="lm-AccordionPanel-title",this._titleID=0,this._titleKeys=new WeakMap,this._uuid=++e._nInstance}createCollapseIcon(r){return document.createElement("span")}createSectionTitle(r){let n=document.createElement("h3");n.setAttribute("tabindex","0"),n.id=this.createTitleKey(r),n.className=this.titleClassName;for(let a in r.dataset)n.dataset[a]=r.dataset[a];let s=n.appendChild(this.createCollapseIcon(r));s.className="lm-AccordionPanel-titleCollapser";let o=n.appendChild(document.createElement("span"));return o.className="lm-AccordionPanel-titleLabel",o.textContent=r.label,o.title=r.caption||r.label,n}createTitleKey(r){let n=this._titleKeys.get(r);return n===void 0&&(n=`title-key-${this._uuid}-${this._titleID++}`,this._titleKeys.set(r,n)),n}}e._nInstance=0,i.Renderer=e,i.defaultRenderer=new e})(ym||(ym={}));(function(i){function e(t){return t.layout||new y4({renderer:t.renderer||ym.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing,titleSpace:t.titleSpace})}i.createLayout=e})(S4||(S4={}));ji=class extends Hu{constructor(e={}){super(),this._fixed=0,this._spacing=4,this._dirty=!1,this._sizers=[],this._items=[],this._box=null,this._alignment="start",this._direction="top-to-bottom",e.direction!==void 0&&(this._direction=e.direction),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=_m.clampDimension(e.spacing))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,super.dispose()}get direction(){return this._direction}set direction(e){this._direction!==e&&(this._direction=e,this.parent&&(this.parent.dataset.direction=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=_m.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}init(){this.parent.dataset.direction=this.direction,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){L.insert(this._items,e,new td(t)),L.insert(this._sizers,e,new Lo),this.parent.isAttached&&se.sendMessage(t,V.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.isAttached&&se.sendMessage(t,V.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){L.move(this._items,e,t),L.move(this._sizers,e,t),this.parent.update()}detachWidget(e,t){let r=L.removeAt(this._items,e);L.removeAt(this._sizers,e),this.parent.isAttached&&se.sendMessage(t,V.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&se.sendMessage(t,V.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){let e=0;for(let a=0,l=this._items.length;a0)switch(this._alignment){case"start":break;case"center":u=0,c=l/2;break;case"end":u=0,c=l;break;case"justify":u=l/r,c=0;break;default:throw"unreachable"}for(let d=0,h=this._items.length;d0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r}),i.sizeBasisProperty=new Ye({name:"sizeBasis",create:()=>0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r});function e(n){return n==="left-to-right"||n==="right-to-left"}i.isHorizontal=e;function t(n){return Math.max(0,Math.floor(n))}i.clampSpacing=t;function r(n){n.parent&&n.parent.layout instanceof ji&&n.parent.fit()}})(ed||(ed={}));qh=class extends $a{constructor(e={}){super({layout:C4.createLayout(e)}),this.addClass("lm-BoxPanel")}get direction(){return this.layout.direction}set direction(e){this.layout.direction=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}onChildAdded(e){e.child.addClass("lm-BoxPanel-child")}onChildRemoved(e){e.child.removeClass("lm-BoxPanel-child")}};(function(i){function e(s){return ji.getStretch(s)}i.getStretch=e;function t(s,o){ji.setStretch(s,o)}i.setStretch=t;function r(s){return ji.getSizeBasis(s)}i.getSizeBasis=r;function n(s,o){ji.setSizeBasis(s,o)}i.setSizeBasis=n})(qh||(qh={}));(function(i){function e(t){return t.layout||new ji(t)}i.createLayout=e})(C4||(C4={}));Hh=class extends V{constructor(e){super({node:Ra.createNode()}),this._activeIndex=-1,this._items=[],this._results=null,this.addClass("lm-CommandPalette"),this.setFlag(V.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||Hh.defaultRenderer,this.commands.commandChanged.connect(this._onGenericChange,this),this.commands.keyBindingChanged.connect(this._onGenericChange,this)}dispose(){this._items.length=0,this._results=null,super.dispose()}get searchNode(){return this.node.getElementsByClassName("lm-CommandPalette-search")[0]}get inputNode(){return this.node.getElementsByClassName("lm-CommandPalette-input")[0]}get contentNode(){return this.node.getElementsByClassName("lm-CommandPalette-content")[0]}get items(){return this._items}addItem(e){let t=Ra.createItem(this.commands,e);return this._items.push(t),this.refresh(),t}addItems(e){let t=e.map(r=>Ra.createItem(this.commands,r));return t.forEach(r=>this._items.push(r)),this.refresh(),t}removeItem(e){this.removeItemAt(this._items.indexOf(e))}removeItemAt(e){L.removeAt(this._items,e)&&this.refresh()}clearItems(){this._items.length!==0&&(this._items.length=0,this.refresh())}refresh(){if(this._results=null,this.inputNode.value!==""){let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="inherit"}else{let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="none"}this.update()}handleEvent(e){switch(e.type){case"click":this._evtClick(e);break;case"keydown":this._evtKeyDown(e);break;case"input":this.refresh();break;case"focus":case"blur":this._toggleFocused();break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),this.node.addEventListener("input",this),this.node.addEventListener("focus",this,!0),this.node.addEventListener("blur",this,!0)}onAfterDetach(e){this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this),this.node.removeEventListener("input",this),this.node.removeEventListener("focus",this,!0),this.node.removeEventListener("blur",this,!0)}onAfterShow(e){this.update(),super.onAfterShow(e)}onActivateRequest(e){if(this.isAttached){let t=this.inputNode;t.focus(),t.select()}}onUpdateRequest(e){if(!this.isVisible){Pt.render(null,this.contentNode);return}let t=this.inputNode.value,r=this.contentNode,n=this._results;if(n||(n=this._results=Ra.search(this._items,t),this._activeIndex=t?L.findFirstIndex(n,Ra.canActivate):-1),!t&&n.length===0){Pt.render(null,r);return}if(t&&n.length===0){let l=this.renderer.renderEmptyMessage({query:t});Pt.render(l,r);return}let s=this.renderer,o=this._activeIndex,a=new Array(n.length);for(let l=0,u=n.length;l=n.length)r.scrollTop=0;else{let l=r.children[o];he.scrollIntoViewIfNeeded(r,l)}}_evtClick(e){if(e.button!==0)return;if(e.target.classList.contains("lm-close-icon")){this.inputNode.value="",this.refresh();return}let t=L.findFirstIndex(this.contentNode.children,r=>r.contains(e.target));t!==-1&&(e.preventDefault(),e.stopPropagation(),this._execute(t))}_evtKeyDown(e){if(!(e.altKey||e.ctrlKey||e.metaKey||e.shiftKey))switch(e.keyCode){case 13:e.preventDefault(),e.stopPropagation(),this._execute(this._activeIndex);break;case 38:e.preventDefault(),e.stopPropagation(),this._activatePreviousItem();break;case 40:e.preventDefault(),e.stopPropagation(),this._activateNextItem();break}}_activateNextItem(){if(!this._results||this._results.length===0)return;let e=this._activeIndex,t=this._results.length,r=eE-w),R=x.slice(0,S),I=x.slice(S);for(let E=0,w=I.length;Eg.command===f&&La.JSONExt.deepEqual(g.args,p))||null}}})(Ra||(Ra={}));$o=class extends V{constructor(e){super({node:tn.createNode()}),this._childIndex=-1,this._activeIndex=-1,this._openTimerID=0,this._closeTimerID=0,this._items=[],this._childMenu=null,this._parentMenu=null,this._aboutToClose=new G(this),this._menuRequested=new G(this),this.addClass("lm-Menu"),this.setFlag(V.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||$o.defaultRenderer}dispose(){this.close(),this._items.length=0,super.dispose()}get aboutToClose(){return this._aboutToClose}get menuRequested(){return this._menuRequested}get parentMenu(){return this._parentMenu}get childMenu(){return this._childMenu}get rootMenu(){let e=this;for(;e._parentMenu;)e=e._parentMenu;return e}get leafMenu(){let e=this;for(;e._childMenu;)e=e._childMenu;return e}get contentNode(){return this.node.getElementsByClassName("lm-Menu-content")[0]}get activeItem(){return this._items[this._activeIndex]||null}set activeItem(e){this.activeIndex=e?this._items.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._items.length)&&(e=-1),e!==-1&&!tn.canActivate(this._items[e])&&(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this._activeIndex>=0&&this.contentNode.childNodes[this._activeIndex]&&this.contentNode.childNodes[this._activeIndex].focus(),this.update())}get items(){return this._items}activateNextItem(){let e=this._items.length,t=this._activeIndex,r=t{this.activeIndex=a}})}Pt.render(o,this.contentNode)}onCloseRequest(e){this._cancelOpenTimer(),this._cancelCloseTimer(),this.activeIndex=-1;let t=this._childMenu;t&&(this._childIndex=-1,this._childMenu=null,t._parentMenu=null,t.close());let r=this._parentMenu;r&&(this._parentMenu=null,r._childIndex=-1,r._childMenu=null,r.activate()),this.isAttached&&this._aboutToClose.emit(void 0),super.onCloseRequest(e)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation();let t=e.keyCode;if(t===13){this.triggerActiveItem();return}if(t===27){this.close();return}if(t===37){this._parentMenu?this.close():this._menuRequested.emit("previous");return}if(t===38){this.activatePreviousItem();return}if(t===39){let o=this.activeItem;o&&o.type==="submenu"?this.triggerActiveItem():this.rootMenu._menuRequested.emit("next");return}if(t===40){this.activateNextItem();return}let r=Qn().keyForKeydownEvent(e);if(!r)return;let n=this._activeIndex+1,s=tn.findMnemonic(this._items,r,n);s.index!==-1&&!s.multiple?(this.activeIndex=s.index,this.triggerActiveItem()):s.index!==-1?this.activeIndex=s.index:s.auto!==-1&&(this.activeIndex=s.auto)}_evtMouseUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this.triggerActiveItem())}_evtMouseMove(e){let t=L.findFirstIndex(this.contentNode.children,n=>he.hitTest(n,e.clientX,e.clientY));if(t===this._activeIndex)return;if(this.activeIndex=t,t=this.activeIndex,t===this._childIndex){this._cancelOpenTimer(),this._cancelCloseTimer();return}this._childIndex!==-1&&this._startCloseTimer(),this._cancelOpenTimer();let r=this.activeItem;!r||r.type!=="submenu"||!r.submenu||this._startOpenTimer()}_evtMouseEnter(e){for(let t=this._parentMenu;t;t=t._parentMenu)t._cancelOpenTimer(),t._cancelCloseTimer(),t.activeIndex=t._childIndex}_evtMouseLeave(e){if(this._cancelOpenTimer(),!this._childMenu){this.activeIndex=-1;return}let{clientX:t,clientY:r}=e;if(he.hitTest(this._childMenu.node,t,r)){this._cancelCloseTimer();return}this.activeIndex=-1,this._startCloseTimer()}_evtMouseDown(e){this._parentMenu||(tn.hitTestMenus(this,e.clientX,e.clientY)?(e.preventDefault(),e.stopPropagation()):this.close())}_openChildMenu(e=!1){let t=this.activeItem;if(!t||t.type!=="submenu"||!t.submenu){this._closeChildMenu();return}let r=t.submenu;if(r===this._childMenu)return;$o.saveWindowData(),this._closeChildMenu(),this._childMenu=r,this._childIndex=this._activeIndex,r._parentMenu=this,se.sendMessage(this,V.Msg.UpdateRequest);let n=this.contentNode.children[this._activeIndex];tn.openSubmenu(r,n),e&&(r.activeIndex=-1,r.activateNextItem()),r.activate()}_closeChildMenu(){this._childMenu&&this._childMenu.close()}_startOpenTimer(){this._openTimerID===0&&(this._openTimerID=window.setTimeout(()=>{this._openTimerID=0,this._openChildMenu()},tn.TIMER_DELAY))}_startCloseTimer(){this._closeTimerID===0&&(this._closeTimerID=window.setTimeout(()=>{this._closeTimerID=0,this._closeChildMenu()},tn.TIMER_DELAY))}_cancelOpenTimer(){this._openTimerID!==0&&(clearTimeout(this._openTimerID),this._openTimerID=0)}_cancelCloseTimer(){this._closeTimerID!==0&&(clearTimeout(this._closeTimerID),this._closeTimerID=0)}static saveWindowData(){tn.saveWindowData()}};(function(i){class e{renderItem(r){let n=this.createItemClass(r),s=this.createItemDataset(r),o=this.createItemARIA(r);return re.li({className:n,dataset:s,tabindex:"0",onfocus:r.onfocus,...o},this.renderIcon(r),this.renderLabel(r),this.renderShortcut(r),this.renderSubmenu(r))}renderIcon(r){let n=this.createIconClass(r);return re.div({className:n},r.item.icon,r.item.iconLabel)}renderLabel(r){let n=this.formatLabel(r);return re.div({className:"lm-Menu-itemLabel"},n)}renderShortcut(r){let n=this.formatShortcut(r);return re.div({className:"lm-Menu-itemShortcut"},n)}renderSubmenu(r){return re.div({className:"lm-Menu-itemSubmenuIcon"})}createItemClass(r){let n="lm-Menu-item";r.item.isEnabled||(n+=" lm-mod-disabled"),r.item.isToggled&&(n+=" lm-mod-toggled"),r.item.isVisible||(n+=" lm-mod-hidden"),r.active&&(n+=" lm-mod-active"),r.collapsed&&(n+=" lm-mod-collapsed");let s=r.item.className;return s&&(n+=` ${s}`),n}createItemDataset(r){let n,{type:s,command:o,dataset:a}=r.item;return s==="command"?n={...a,type:s,command:o}:n={...a,type:s},n}createIconClass(r){let n="lm-Menu-itemIcon",s=r.item.iconClass;return s?`${n} ${s}`:n}createItemARIA(r){let n={};switch(r.item.type){case"separator":n.role="presentation";break;case"submenu":n["aria-haspopup"]="true",r.item.isEnabled||(n["aria-disabled"]="true");break;default:r.item.isEnabled||(n["aria-disabled"]="true"),r.item.isToggled?(n.role="menuitemcheckbox",n["aria-checked"]="true"):n.role="menuitem"}return n}formatLabel(r){let{label:n,mnemonic:s}=r.item;if(s<0||s>=n.length)return n;let o=n.slice(0,s),a=n.slice(s+1),l=n[s],u=re.span({className:"lm-Menu-itemMnemonic"},l);return[o,u,a]}formatShortcut(r){let n=r.item.keyBinding;return n?ti.formatKeystroke(n.keys):null}}i.Renderer=e,i.defaultRenderer=new e})($o||($o={}));(function(i){i.TIMER_DELAY=300,i.SUBMENU_OVERLAP=3;let e=null,t=0;function r(){return t>0?(t--,e):c()}function n(){e=c(),t++}i.saveWindowData=n;function s(){let g=document.createElement("div"),v=document.createElement("ul");return v.className="lm-Menu-content",g.appendChild(v),v.setAttribute("role","menu"),g.tabIndex=0,g}i.createNode=s;function o(g){return g.type!=="separator"&&g.isEnabled&&g.isVisible}i.canActivate=o;function a(g,v){return new p(g.commands,v)}i.createItem=a;function l(g,v,_){for(let x=g;x;x=x.childMenu)if(he.hitTest(x.node,v,_))return!0;return!1}i.hitTestMenus=l;function u(g){let v=new Array(g.length);L.fill(v,!1);let _=0,x=g.length;for(;_=0;--y){let S=g[y];if(S.isVisible){if(S.type!=="separator")break;v[y]=!0}}let C=!1;for(;++_E+k&&(v=E+k-U),!y&&_+ne>w+O&&(_>w+O?_=w+O-ne:_=_-ne),pe.transform=`translate(${Math.max(0,v)}px, ${Math.max(0,_)}px`,pe.opacity="1"}i.openRootMenu=d;function h(g,v){let _=r(),x=_.pageXOffset,y=_.pageYOffset,C=_.clientWidth,S=_.clientHeight;se.sendMessage(g,V.Msg.UpdateRequest);let R=S,I=g.node,E=I.style;E.opacity="0",E.maxHeight=`${R}px`,V.attach(g,document.body);let{width:w,height:k}=I.getBoundingClientRect(),O=he.boxSizing(g.node),z=v.getBoundingClientRect(),Y=z.right-i.SUBMENU_OVERLAP;Y+w>x+C&&(Y=z.left+i.SUBMENU_OVERLAP-w);let pe=z.top-O.borderTop-O.paddingTop;pe+k>y+S&&(pe=z.bottom+O.borderBottom+O.paddingBottom-k),E.transform=`translate(${Math.max(0,Y)}px, ${Math.max(0,pe)}px`,E.opacity="1"}i.openSubmenu=h;function f(g,v,_){let x=-1,y=-1,C=!1,S=v.toUpperCase();for(let R=0,I=g.length;R=0&&Ox.command===v&&La.JSONExt.deepEqual(x.args,_))||null}return null}}})(tn||(tn={}));(function(i){function e(o,a){let l=r(o.selector),u=o.rank!==void 0?o.rank:1/0;return{...o,selector:l,rank:u,id:a}}i.createItem=e;function t(o,a,l,u){let c=a.target;if(!c)return null;let d=a.currentTarget;if(!d||!d.contains(c)&&(c=document.elementFromPoint(a.clientX,a.clientY),!c||!d.contains(c)))return null;let h=[],f=o.slice();for(;c!==null;){let p=[];for(let g=0,v=f.length;g=this._titles.length)&&(e=-1),this._currentIndex===e)return;let t=this._currentIndex,r=this._titles[t]||null,n=e,s=this._titles[n]||null;this._currentIndex=n,this._previousTitle=r,this.update(),this._currentChanged.emit({previousIndex:t,previousTitle:r,currentIndex:n,currentTitle:s})}get name(){return this._name}set name(e){this._name=e,e?this.contentNode.setAttribute("aria-label",e):this.contentNode.removeAttribute("aria-label")}get orientation(){return this._orientation}set orientation(e){this._orientation!==e&&(this._releaseMouse(),this._orientation=e,this.dataset.orientation=e,this.contentNode.setAttribute("aria-orientation",e))}get addButtonEnabled(){return this._addButtonEnabled}set addButtonEnabled(e){this._addButtonEnabled!==e&&(this._addButtonEnabled=e,e?this.addButtonNode.classList.remove("lm-mod-hidden"):this.addButtonNode.classList.add("lm-mod-hidden"))}get titles(){return this._titles}get contentNode(){return this.node.getElementsByClassName("lm-TabBar-content")[0]}get addButtonNode(){return this.node.getElementsByClassName("lm-TabBar-addButton")[0]}addTab(e){return this.insertTab(this._titles.length,e)}insertTab(e,t){this._releaseMouse();let r=vs.asTitle(t),n=this._titles.indexOf(r),s=Math.max(0,Math.min(e,this._titles.length));return n===-1?(L.insert(this._titles,s,r),r.changed.connect(this._onTitleChanged,this),this.update(),this._adjustCurrentForInsert(s,r),r):(s===this._titles.length&&s--,n===s||(L.move(this._titles,n,s),this.update(),this._adjustCurrentForMove(n,s)),r)}removeTab(e){this.removeTabAt(this._titles.indexOf(e))}removeTabAt(e){this._releaseMouse();let t=L.removeAt(this._titles,e);t&&(t.changed.disconnect(this._onTitleChanged,this),t===this._previousTitle&&(this._previousTitle=null),this.update(),this._adjustCurrentForRemove(e,t))}clearTabs(){if(this._titles.length===0)return;this._releaseMouse();for(let r of this._titles)r.changed.disconnect(this._onTitleChanged,this);let e=this.currentIndex,t=this.currentTitle;this._currentIndex=-1,this._previousTitle=null,this._titles.length=0,this.update(),e!==-1&&this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}releaseMouse(){this._releaseMouse()}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"dblclick":this._evtDblClick(e);break;case"keydown":e.eventPhase===Event.CAPTURING_PHASE?this._evtKeyDownCapturing(e):this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this),this.node.addEventListener("dblclick",this),this.node.addEventListener("keydown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this.node.removeEventListener("dblclick",this),this.node.removeEventListener("keydown",this),this._releaseMouse()}onUpdateRequest(e){var t;let r=this._titles,n=this.renderer,s=this.currentTitle,o=new Array(r.length),a=(t=this._getCurrentTabindex())!==null&&t!==void 0?t:this._currentIndex>-1?this._currentIndex:0;for(let l=0,u=r.length;lhe.hitTest(o,e.clientX,e.clientY));if(r===-1)return;let n=this.titles[r],s=t[r].querySelector(".lm-TabBar-tabLabel");if(s&&s.contains(e.target)){let o=n.label||"",a=s.innerHTML;s.innerHTML="";let l=document.createElement("input");l.classList.add("lm-TabBar-tabInput"),l.value=o,s.appendChild(l);let u=()=>{l.removeEventListener("blur",u),s.innerHTML=a,this.node.addEventListener("keydown",this)};l.addEventListener("dblclick",c=>c.stopPropagation()),l.addEventListener("blur",u),l.addEventListener("keydown",c=>{c.key==="Enter"?(l.value!==""&&(n.label=n.caption=l.value),u()):c.key==="Escape"&&u()}),this.node.removeEventListener("keydown",this),l.select(),l.focus(),s.children.length>0&&s.children[0].focus()}}_evtKeyDownCapturing(e){e.eventPhase===Event.CAPTURING_PHASE&&(e.preventDefault(),e.stopPropagation(),e.key==="Escape"&&this._releaseMouse())}_evtKeyDown(e){var t,r,n;if(!(e.key==="Tab"||e.eventPhase===Event.CAPTURING_PHASE)){if(e.key==="Enter"||e.key==="Spacebar"||e.key===" "){let s=document.activeElement;if(this.addButtonEnabled&&this.addButtonNode.contains(s))e.preventDefault(),e.stopPropagation(),this._addRequested.emit();else{let o=L.findFirstIndex(this.contentNode.children,a=>a.contains(s));o>=0&&(e.preventDefault(),e.stopPropagation(),this.currentIndex=o)}}else if(YSe.includes(e.key)){let s=[...this.contentNode.children];if(this.addButtonEnabled&&s.push(this.addButtonNode),s.length<=1)return;e.preventDefault(),e.stopPropagation();let o=s.indexOf(document.activeElement);o===-1&&(o=this._currentIndex);let a;e.key==="ArrowRight"&&this._orientation==="horizontal"||e.key==="ArrowDown"&&this._orientation==="vertical"?a=(t=s[o+1])!==null&&t!==void 0?t:s[0]:e.key==="ArrowLeft"&&this._orientation==="horizontal"||e.key==="ArrowUp"&&this._orientation==="vertical"?a=(r=s[o-1])!==null&&r!==void 0?r:s[s.length-1]:e.key==="Home"?a=s[0]:e.key==="End"&&(a=s[s.length-1]),a&&((n=s[o])===null||n===void 0||n.setAttribute("tabindex","-1"),a?.setAttribute("tabindex","0"),a.focus())}}}_evtPointerDown(e){if(e.button!==0&&e.button!==1||this._dragData||e.target.classList.contains("lm-TabBar-tabInput"))return;let t=this.addButtonEnabled&&this.addButtonNode.contains(e.target),r=this.contentNode.children,n=L.findFirstIndex(r,o=>he.hitTest(o,e.clientX,e.clientY));if(n===-1&&!t||(e.preventDefault(),e.stopPropagation(),this._dragData={tab:r[n],index:n,pressX:e.clientX,pressY:e.clientY,tabPos:-1,tabSize:-1,tabPressPos:-1,targetIndex:-1,tabLayout:null,contentRect:null,override:null,dragActive:!1,dragAborted:!1,detachRequested:!1},this.document.addEventListener("pointerup",this,!0),e.button===1||t))return;let s=r[n].querySelector(this.renderer.closeIconSelector);s&&s.contains(e.target)||(this.tabsMovable&&(this.document.addEventListener("pointermove",this,!0),this.document.addEventListener("keydown",this,!0),this.document.addEventListener("contextmenu",this,!0)),this.allowDeselect&&this.currentIndex===n?this.currentIndex=-1:this.currentIndex=n,this.currentIndex!==-1&&this._tabActivateRequested.emit({index:this.currentIndex,title:this.currentTitle}))}_evtPointerMove(e){let t=this._dragData;if(!t)return;e.preventDefault(),e.stopPropagation();let r=this.contentNode.children;if(!(!t.dragActive&&!vs.dragExceeded(t,e))){if(!t.dragActive){let n=t.tab.getBoundingClientRect();this._orientation==="horizontal"?(t.tabPos=t.tab.offsetLeft,t.tabSize=n.width,t.tabPressPos=t.pressX-n.left):(t.tabPos=t.tab.offsetTop,t.tabSize=n.height,t.tabPressPos=t.pressY-n.top),t.tabPressOffset={x:t.pressX-n.left,y:t.pressY-n.top},t.tabLayout=vs.snapTabLayout(r,this._orientation),t.contentRect=this.contentNode.getBoundingClientRect(),t.override=Di.overrideCursor("default"),t.tab.classList.add("lm-mod-dragging"),this.addClass("lm-mod-dragging"),t.dragActive=!0}if(!t.detachRequested&&vs.detachExceeded(t,e)){t.detachRequested=!0;let n=t.index,s=e.clientX,o=e.clientY,a=r[n],l=this._titles[n];if(this._tabDetachRequested.emit({index:n,title:l,tab:a,clientX:s,clientY:o,offset:t.tabPressOffset}),t.dragAborted)return}vs.layoutTabs(r,t,e,this._orientation)}}_evtPointerUp(e){if(e.button!==0&&e.button!==1)return;let t=this._dragData;if(!t)return;if(e.preventDefault(),e.stopPropagation(),this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),!t.dragActive){if(this._dragData=null,this.addButtonEnabled&&this.addButtonNode.contains(e.target)){this._addRequested.emit(void 0);return}let s=this.contentNode.children,o=L.findFirstIndex(s,u=>he.hitTest(u,e.clientX,e.clientY));if(o!==t.index)return;let a=this._titles[o];if(!a.closable)return;if(e.button===1){this._tabCloseRequested.emit({index:o,title:a});return}let l=s[o].querySelector(this.renderer.closeIconSelector);if(l&&l.contains(e.target)){this._tabCloseRequested.emit({index:o,title:a});return}return}if(e.button!==0)return;vs.finalizeTabPosition(t,this._orientation),t.tab.classList.remove("lm-mod-dragging");let r=vs.parseTransitionDuration(t.tab);setTimeout(()=>{if(t.dragAborted)return;this._dragData=null,vs.resetTabPositions(this.contentNode.children,this._orientation),t.override.dispose(),this.removeClass("lm-mod-dragging");let n=t.index,s=t.targetIndex;s===-1||n===s||(L.move(this._titles,n,s),this._adjustCurrentForMove(n,s),this._tabMoved.emit({fromIndex:n,toIndex:s,title:this._titles[s]}),se.sendMessage(this,V.Msg.UpdateRequest))},r)}_releaseMouse(){let e=this._dragData;e&&(this._dragData=null,this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),e.dragAborted=!0,e.dragActive&&(vs.resetTabPositions(this.contentNode.children,this._orientation),e.override.dispose(),e.tab.classList.remove("lm-mod-dragging"),this.removeClass("lm-mod-dragging")))}_adjustCurrentForInsert(e,t){let r=this.currentTitle,n=this._currentIndex,s=this.insertBehavior;if(s==="select-tab"||s==="select-tab-if-needed"&&n===-1){this._currentIndex=e,this._previousTitle=r,this._currentChanged.emit({previousIndex:n,previousTitle:r,currentIndex:e,currentTitle:t});return}n>=e&&this._currentIndex++}_adjustCurrentForMove(e,t){this._currentIndex===e?this._currentIndex=t:this._currentIndex=t?this._currentIndex++:this._currentIndex>e&&this._currentIndex<=t&&this._currentIndex--}_adjustCurrentForRemove(e,t){let r=this._currentIndex,n=this.removeBehavior;if(r!==e){r>e&&this._currentIndex--;return}if(this._titles.length===0){this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null});return}if(n==="select-tab-after"){this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-tab-before"){this._currentIndex=Math.max(0,e-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-previous-tab"){this._previousTitle?(this._currentIndex=this._titles.indexOf(this._previousTitle),this._previousTitle=null):this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}_onTitleChanged(e){this.update()}};(function(i){class e{constructor(){this.closeIconSelector=".lm-TabBar-tabCloseIcon",this._tabID=0,this._tabKeys=new WeakMap,this._uuid=++e._nInstance}renderTab(r){let n=r.title.caption,s=this.createTabKey(r),o=s,a=this.createTabStyle(r),l=this.createTabClass(r),u=this.createTabDataset(r),c=this.createTabARIA(r);return r.title.closable?re.li({id:o,key:s,className:l,title:n,style:a,dataset:u,...c},this.renderIcon(r),this.renderLabel(r),this.renderCloseIcon(r)):re.li({id:o,key:s,className:l,title:n,style:a,dataset:u,...c},this.renderIcon(r),this.renderLabel(r))}renderIcon(r){let{title:n}=r,s=this.createIconClass(r);return re.div({className:s},n.icon,n.iconLabel)}renderLabel(r){return re.div({className:"lm-TabBar-tabLabel"},r.title.label)}renderCloseIcon(r){return re.div({className:"lm-TabBar-tabCloseIcon"})}createTabKey(r){let n=this._tabKeys.get(r.title);return n===void 0&&(n=`tab-key-${this._uuid}-${this._tabID++}`,this._tabKeys.set(r.title,n)),n}createTabStyle(r){return{zIndex:`${r.zIndex}`}}createTabClass(r){let n="lm-TabBar-tab";return r.title.className&&(n+=` ${r.title.className}`),r.title.closable&&(n+=" lm-mod-closable"),r.current&&(n+=" lm-mod-current"),n}createTabDataset(r){return r.title.dataset}createTabARIA(r){var n;return{role:"tab","aria-selected":r.current.toString(),tabindex:`${(n=r.tabIndex)!==null&&n!==void 0?n:"-1"}`}}createIconClass(r){let n="lm-TabBar-tabIcon",s=r.title.iconClass;return s?`${n} ${s}`:n}}e._nInstance=0,i.Renderer=e,i.defaultRenderer=new e,i.addButtonSelector=".lm-TabBar-addButton"})(Ks||(Ks={}));(function(i){i.DRAG_THRESHOLD=5,i.DETACH_THRESHOLD=20;function e(){let c=document.createElement("div"),d=document.createElement("ul");d.setAttribute("role","tablist"),d.className="lm-TabBar-content",c.appendChild(d);let h=document.createElement("div");return h.className="lm-TabBar-addButton lm-mod-hidden",h.setAttribute("tabindex","-1"),h.setAttribute("role","button"),c.appendChild(h),c}i.createNode=e;function t(c){return c instanceof bm?c:new bm(c)}i.asTitle=t;function r(c){let d=window.getComputedStyle(c);return 1e3*(parseFloat(d.transitionDuration)||0)}i.parseTransitionDuration=r;function n(c,d){let h=new Array(c.length);for(let f=0,p=c.length;f=i.DRAG_THRESHOLD||f>=i.DRAG_THRESHOLD}i.dragExceeded=s;function o(c,d){let h=c.contentRect;return d.clientX=h.right+i.DETACH_THRESHOLD||d.clientY=h.bottom+i.DETACH_THRESHOLD}i.detachExceeded=o;function a(c,d,h,f){let p,g,v,_;f==="horizontal"?(p=d.pressX,g=h.clientX-d.contentRect.left,v=h.clientX,_=d.contentRect.width):(p=d.pressY,g=h.clientY-d.contentRect.top,v=h.clientY,_=d.contentRect.height);let x=d.index,y=g-d.tabPressPos,C=y+d.tabSize;for(let S=0,R=c.length;S>1);if(Sd.index&&C>w)I=`${-d.tabSize-E.margin}px`,x=Math.max(x,S);else if(S===d.index){let k=v-p,O=_-(d.tabPos+d.tabSize);I=`${Math.max(-d.tabPos,Math.min(k,O))}px`}else I="";f==="horizontal"?c[S].style.left=I:c[S].style.top=I}d.targetIndex=x}i.layoutTabs=a;function l(c,d){let h;d==="horizontal"?h=c.contentRect.width:h=c.contentRect.height;let f;if(c.targetIndex===c.index)f=0;else if(c.targetIndex>c.index){let v=c.tabLayout[c.targetIndex];f=v.pos+v.size-c.tabSize-c.tabPos}else f=c.tabLayout[c.targetIndex].pos-c.tabPos;let p=h-(c.tabPos+c.tabSize),g=Math.max(-c.tabPos,Math.min(f,p));d==="horizontal"?c.tab.style.left=`${g}px`:c.tab.style.top=`${g}px`}i.finalizeTabPosition=l;function u(c,d){for(let h of c)d==="horizontal"?h.style.left="":h.style.top=""}i.resetTabPositions=u})(vs||(vs={}));I4=class extends Po{constructor(e){super(),this._spacing=4,this._dirty=!1,this._root=null,this._box=null,this._items=new Map,this.renderer=e.renderer,e.spacing!==void 0&&(this._spacing=_m.clampDimension(e.spacing)),this._document=e.document||document,this._hiddenMode=e.hiddenMode!==void 0?e.hiddenMode:V.HiddenMode.Display}dispose(){let e=this[Symbol.iterator]();this._items.forEach(t=>{t.dispose()}),this._box=null,this._root=null,this._items.clear();for(let t of e)t.dispose();super.dispose()}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){if(this._hiddenMode!==e){this._hiddenMode=e;for(let t of this.tabBars())if(t.titles.length>1)for(let r of t.titles)r.owner.hiddenMode=this._hiddenMode}}get spacing(){return this._spacing}set spacing(e){e=_m.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get isEmpty(){return this._root===null}[Symbol.iterator](){return this._root?this._root.iterAllWidgets():Oi()}widgets(){return this._root?this._root.iterUserWidgets():Oi()}selectedWidgets(){return this._root?this._root.iterSelectedWidgets():Oi()}tabBars(){return this._root?this._root.iterTabBars():Oi()}handles(){return this._root?this._root.iterHandles():Oi()}moveHandle(e,t,r){let n=e.classList.contains("lm-mod-hidden");if(!this._root||n)return;let s=this._root.findSplitNode(e);if(!s)return;let o;s.node.orientation==="horizontal"?o=t-e.offsetLeft:o=r-e.offsetTop,o!==0&&(s.node.holdSizes(),Un.adjust(s.node.sizers,s.index,o),this.parent&&this.parent.update())}saveLayout(){return this._root?(this._root.holdAllSizes(),{main:this._root.createConfig()}):{main:null}}restoreLayout(e){let t=new Set,r;e.main?r=xi.normalizeAreaConfig(e.main,t):r=null;let n=this.widgets(),s=this.tabBars(),o=this.handles();this._root=null;for(let a of n)t.has(a)||(a.parent=null);for(let a of s)a.dispose();for(let a of o)a.parentNode&&a.parentNode.removeChild(a);for(let a of t)a.parent=this.parent;r?this._root=xi.realizeAreaConfig(r,{createTabBar:a=>this._createTabBar(),createHandle:()=>this._createHandle()},this._document):this._root=null,this.parent&&(t.forEach(a=>{this.attachWidget(a)}),this.parent.fit())}addWidget(e,t={}){let r=t.ref||null,n=t.mode||"tab-after",s=null;if(this._root&&r&&(s=this._root.findTabNode(r)),r&&!s)throw new Error("Reference widget is not in the layout.");switch(e.parent=this.parent,n){case"tab-after":this._insertTab(e,r,s,!0);break;case"tab-before":this._insertTab(e,r,s,!1);break;case"split-top":this._insertSplit(e,r,s,"vertical",!1);break;case"split-left":this._insertSplit(e,r,s,"horizontal",!1);break;case"split-right":this._insertSplit(e,r,s,"horizontal",!0);break;case"split-bottom":this._insertSplit(e,r,s,"vertical",!0);break;case"merge-top":this._insertSplit(e,r,s,"vertical",!1,!0);break;case"merge-left":this._insertSplit(e,r,s,"horizontal",!1,!0);break;case"merge-right":this._insertSplit(e,r,s,"horizontal",!0,!0);break;case"merge-bottom":this._insertSplit(e,r,s,"vertical",!0,!0);break}this.parent&&(this.attachWidget(e),this.parent.fit())}removeWidget(e){this._removeWidget(e),this.parent&&(this.detachWidget(e),this.parent.fit())}hitTestTabAreas(e,t){if(!this._root||!this.parent||!this.parent.isVisible)return null;this._box||(this._box=he.boxSizing(this.parent.node));let r=this.parent.node.getBoundingClientRect(),n=e-r.left-this._box.borderLeft,s=t-r.top-this._box.borderTop,o=this._root.hitTestTabNodes(n,s);if(!o)return null;let{tabBar:a,top:l,left:u,width:c,height:d}=o,h=this._box.borderLeft+this._box.borderRight,f=this._box.borderTop+this._box.borderBottom,p=r.width-h-(u+c),g=r.height-f-(l+d);return{tabBar:a,x:n,y:s,top:l,left:u,right:p,bottom:g,width:c,height:d}}init(){super.init();for(let e of this)this.attachWidget(e);for(let e of this.handles())this.parent.node.appendChild(e);this.parent.fit()}attachWidget(e){this.parent.node!==e.node.parentNode&&(this._items.set(e,new td(e)),this.parent.isAttached&&se.sendMessage(e,V.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&se.sendMessage(e,V.Msg.AfterAttach))}detachWidget(e){if(this.parent.node!==e.node.parentNode)return;this.parent.isAttached&&se.sendMessage(e,V.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&se.sendMessage(e,V.Msg.AfterDetach);let t=this._items.get(e);t&&(this._items.delete(e),t.dispose())}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_removeWidget(e){if(!this._root)return;let t=this._root.findTabNode(e);if(!t)return;if(xi.removeAria(e),t.tabBar.titles.length>1){if(t.tabBar.removeTab(e.title),this._hiddenMode===V.HiddenMode.Scale&&t.tabBar.titles.length==1){let h=t.tabBar.titles[0].owner;h.hiddenMode=V.HiddenMode.Display}return}if(t.tabBar.dispose(),this._root===t){this._root=null;return}this._root.holdAllSizes();let r=t.parent;t.parent=null;let n=L.removeFirstOf(r.children,t),s=L.removeAt(r.handles,n);if(L.removeAt(r.sizers,n),s.parentNode&&s.parentNode.removeChild(s),r.children.length>1){r.syncHandles();return}let o=r.parent;r.parent=null;let a=r.children[0],l=r.handles[0];if(r.children.length=0,r.handles.length=0,r.sizers.length=0,l.parentNode&&l.parentNode.removeChild(l),this._root===r){a.parent=null,this._root=a;return}let u=o,c=u.children.indexOf(r);if(a instanceof xi.TabLayoutNode){a.parent=u,u.children[c]=a;return}let d=L.removeAt(u.handles,c);L.removeAt(u.children,c),L.removeAt(u.sizers,c),d.parentNode&&d.parentNode.removeChild(d);for(let h=0,f=a.children.length;h=this._left+this._width||p=this._top+this._height?null:this}createConfig(){let f=this.tabBar.titles.map(g=>g.owner),p=this.tabBar.currentIndex;return{type:"tab-area",widgets:f,currentIndex:p}}holdAllSizes(){}fit(f,p){let g=0,v=0,_=1/0,x=1/0,y=p.get(this.tabBar),C=this.tabBar.currentTitle,S=C?p.get(C.owner):void 0,[R,I]=this.sizers;return y&&y.fit(),S&&S.fit(),y&&!y.isHidden?(g=Math.max(g,y.minWidth),v+=y.minHeight,R.minSize=y.minHeight,R.maxSize=y.maxHeight):(R.minSize=0,R.maxSize=0),S&&!S.isHidden?(g=Math.max(g,S.minWidth),v+=S.minHeight,I.minSize=S.minHeight,I.maxSize=1/0):(I.minSize=0,I.maxSize=1/0),{minWidth:g,minHeight:v,maxWidth:_,maxHeight:x}}update(f,p,g,v,_,x){this._top=p,this._left=f,this._width=g,this._height=v;let y=x.get(this.tabBar),C=this.tabBar.currentTitle,S=C?x.get(C.owner):void 0;if(Un.calc(this.sizers,v),y&&!y.isHidden){let R=this.sizers[0].size;y.update(f,p,g,R),p+=R}if(S&&!S.isHidden){let R=this.sizers[1].size;S.update(f,p,g,R)}}}i.TabLayoutNode=n;class s{constructor(f){this.parent=null,this.normalized=!1,this.children=[],this.sizers=[],this.handles=[],this.orientation=f}*iterAllWidgets(){for(let f of this.children)yield*f.iterAllWidgets()}*iterUserWidgets(){for(let f of this.children)yield*f.iterUserWidgets()}*iterSelectedWidgets(){for(let f of this.children)yield*f.iterSelectedWidgets()}*iterTabBars(){for(let f of this.children)yield*f.iterTabBars()}*iterHandles(){yield*this.handles;for(let f of this.children)yield*f.iterHandles()}findTabNode(f){for(let p=0,g=this.children.length;pv.createConfig());return{type:"split-area",orientation:f,children:g,sizes:p}}syncHandles(){this.handles.forEach((f,p)=>{f.setAttribute("data-orientation",this.orientation),p===this.handles.length-1?f.classList.add("lm-mod-hidden"):f.classList.remove("lm-mod-hidden")})}holdSizes(){for(let f of this.sizers)f.sizeHint=f.size}holdAllSizes(){for(let f of this.children)f.holdAllSizes();this.holdSizes()}normalizeSizes(){let f=this.sizers.length;if(f===0)return;this.holdSizes();let p=this.sizers.reduce((g,v)=>g+v.sizeHint,0);if(p===0)for(let g of this.sizers)g.size=g.sizeHint=1/f;else for(let g of this.sizers)g.size=g.sizeHint/=p;this.normalized=!0}createNormalizedSizes(){let f=this.sizers.length;if(f===0)return[];let p=this.sizers.map(v=>v.size),g=p.reduce((v,_)=>v+_,0);if(g===0)for(let v=p.length-1;v>-1;v--)p[v]=1/f;else for(let v=p.length-1;v>-1;v--)p[v]/=g;return p}fit(f,p){let g=this.orientation==="horizontal",v=Math.max(0,this.children.length-1)*f,_=g?v:0,x=g?0:v,y=1/0,C=1/0;for(let S=0,R=this.children.length;S=p.length)&&(g=0),{type:"tab-area",widgets:p,currentIndex:g}}function u(h,f){let p=h.orientation,g=[],v=[];for(let _=0,x=h.children.length;_{let x=r(v,f,p),y=e(h.sizes[_]),C=f.createHandle();g.children.push(x),g.handles.push(C),g.sizers.push(y),x.parent=g}),g.syncHandles(),g.normalizeSizes(),g}})(xi||(xi={}));id=class extends V{constructor(e={}){super(),this._drag=null,this._tabsMovable=!0,this._tabsConstrained=!1,this._addButtonEnabled=!1,this._pressData=null,this._layoutModified=new G(this),this._addRequested=new G(this),this.addClass("lm-DockPanel"),this._document=e.document||document,this._mode=e.mode||"multiple-document",this._renderer=e.renderer||id.defaultRenderer,this._edges=e.edges||ui.DEFAULT_EDGES,e.tabsMovable!==void 0&&(this._tabsMovable=e.tabsMovable),e.tabsConstrained!==void 0&&(this._tabsConstrained=e.tabsConstrained),e.addButtonEnabled!==void 0&&(this._addButtonEnabled=e.addButtonEnabled),this.dataset.mode=this._mode;let t={createTabBar:()=>this._createTabBar(),createHandle:()=>this._createHandle()};this.layout=new I4({document:this._document,renderer:t,spacing:e.spacing,hiddenMode:e.hiddenMode}),this.overlay=e.overlay||new id.Overlay,this.node.appendChild(this.overlay.node)}dispose(){this._releaseMouse(),this.overlay.hide(0),this._drag&&this._drag.dispose(),super.dispose()}get hiddenMode(){return this.layout.hiddenMode}set hiddenMode(e){this.layout.hiddenMode=e}get layoutModified(){return this._layoutModified}get addRequested(){return this._addRequested}get renderer(){return this.layout.renderer}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get mode(){return this._mode}set mode(e){if(this._mode===e)return;this._mode=e,this.dataset.mode=e;let t=this.layout;switch(e){case"multiple-document":for(let r of t.tabBars())r.show();break;case"single-document":t.restoreLayout(ui.createSingleDocumentConfig(this));break;default:throw"unreachable"}se.postMessage(this,ui.LayoutModified)}get tabsMovable(){return this._tabsMovable}set tabsMovable(e){this._tabsMovable=e;for(let t of this.tabBars())t.tabsMovable=e}get tabsConstrained(){return this._tabsConstrained}set tabsConstrained(e){this._tabsConstrained=e}get addButtonEnabled(){return this._addButtonEnabled}set addButtonEnabled(e){this._addButtonEnabled=e;for(let t of this.tabBars())t.addButtonEnabled=e}get isEmpty(){return this.layout.isEmpty}*widgets(){yield*this.layout.widgets()}*selectedWidgets(){yield*this.layout.selectedWidgets()}*tabBars(){yield*this.layout.tabBars()}*handles(){yield*this.layout.handles()}selectWidget(e){let t=Ui(this.tabBars(),r=>r.titles.indexOf(e.title)!==-1);if(!t)throw new Error("Widget is not contained in the dock panel.");t.currentTitle=e.title}activateWidget(e){this.selectWidget(e),e.activate()}saveLayout(){return this.layout.saveLayout()}restoreLayout(e){this._mode="multiple-document",this.layout.restoreLayout(e),(Ft.IS_EDGE||Ft.IS_IE)&&se.flush(),se.postMessage(this,ui.LayoutModified)}addWidget(e,t={}){this._mode==="single-document"?this.layout.addWidget(e):this.layout.addWidget(e,t),se.postMessage(this,ui.LayoutModified)}processMessage(e){e.type==="layout-modified"?this._layoutModified.emit(void 0):super.processMessage(e)}handleEvent(e){switch(e.type){case"lm-dragenter":this._evtDragEnter(e);break;case"lm-dragleave":this._evtDragLeave(e);break;case"lm-dragover":this._evtDragOver(e);break;case"lm-drop":this._evtDrop(e);break;case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("lm-dragenter",this),this.node.addEventListener("lm-dragleave",this),this.node.addEventListener("lm-dragover",this),this.node.addEventListener("lm-drop",this),this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("lm-dragenter",this),this.node.removeEventListener("lm-dragleave",this),this.node.removeEventListener("lm-dragover",this),this.node.removeEventListener("lm-drop",this),this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){ui.isGeneratedTabBarProperty.get(e.child)||e.child.addClass("lm-DockPanel-widget")}onChildRemoved(e){ui.isGeneratedTabBarProperty.get(e.child)||(e.child.removeClass("lm-DockPanel-widget"),se.postMessage(this,ui.LayoutModified))}_evtDragEnter(e){e.mimeData.hasData("application/vnd.lumino.widget-factory")&&(e.preventDefault(),e.stopPropagation())}_evtDragLeave(e){e.preventDefault(),!(this._tabsConstrained&&e.source!==this)&&(e.stopPropagation(),this.overlay.hide(1))}_evtDragOver(e){e.preventDefault(),this._tabsConstrained&&e.source!==this||this._showOverlay(e.clientX,e.clientY)==="invalid"?e.dropAction="none":(e.stopPropagation(),e.dropAction=e.proposedAction)}_evtDrop(e){if(e.preventDefault(),this.overlay.hide(0),e.proposedAction==="none"){e.dropAction="none";return}let{clientX:t,clientY:r}=e,{zone:n,target:s}=ui.findDropTarget(this,t,r,this._edges);if(this._tabsConstrained&&e.source!==this||n==="invalid"){e.dropAction="none";return}let a=e.mimeData.getData("application/vnd.lumino.widget-factory");if(typeof a!="function"){e.dropAction="none";return}let l=a();if(!(l instanceof V)){e.dropAction="none";return}if(l.contains(this)){e.dropAction="none";return}let u=s?ui.getDropRef(s.tabBar):null;switch(n){case"root-all":this.addWidget(l);break;case"root-top":this.addWidget(l,{mode:"split-top"});break;case"root-left":this.addWidget(l,{mode:"split-left"});break;case"root-right":this.addWidget(l,{mode:"split-right"});break;case"root-bottom":this.addWidget(l,{mode:"split-bottom"});break;case"widget-all":this.addWidget(l,{mode:"tab-after",ref:u});break;case"widget-top":this.addWidget(l,{mode:"split-top",ref:u});break;case"widget-left":this.addWidget(l,{mode:"split-left",ref:u});break;case"widget-right":this.addWidget(l,{mode:"split-right",ref:u});break;case"widget-bottom":this.addWidget(l,{mode:"split-bottom",ref:u});break;case"widget-tab":this.addWidget(l,{mode:"tab-after",ref:u});break;default:throw"unreachable"}e.dropAction=e.proposedAction,e.stopPropagation(),this.activateWidget(l)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation(),e.keyCode===27&&(this._releaseMouse(),se.postMessage(this,ui.LayoutModified))}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=e.target,n=Ui(t.handles(),c=>c.contains(r));if(!n)return;e.preventDefault(),e.stopPropagation(),this._document.addEventListener("keydown",this,!0),this._document.addEventListener("pointerup",this,!0),this._document.addEventListener("pointermove",this,!0),this._document.addEventListener("contextmenu",this,!0);let s=n.getBoundingClientRect(),o=e.clientX-s.left,a=e.clientY-s.top,l=window.getComputedStyle(n),u=Di.overrideCursor(l.cursor,this._document);this._pressData={handle:n,deltaX:o,deltaY:a,override:u}}_evtPointerMove(e){if(!this._pressData)return;e.preventDefault(),e.stopPropagation();let t=this.node.getBoundingClientRect(),r=e.clientX-t.left-this._pressData.deltaX,n=e.clientY-t.top-this._pressData.deltaY;this.layout.moveHandle(this._pressData.handle,r,n)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse(),se.postMessage(this,ui.LayoutModified))}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._document.removeEventListener("keydown",this,!0),this._document.removeEventListener("pointerup",this,!0),this._document.removeEventListener("pointermove",this,!0),this._document.removeEventListener("contextmenu",this,!0))}_showOverlay(e,t){let{zone:r,target:n}=ui.findDropTarget(this,e,t,this._edges);if(r==="invalid")return this.overlay.hide(100),r;let s,o,a,l,u=he.boxSizing(this.node),c=this.node.getBoundingClientRect();switch(r){case"root-all":s=u.paddingTop,o=u.paddingLeft,a=u.paddingRight,l=u.paddingBottom;break;case"root-top":s=u.paddingTop,o=u.paddingLeft,a=u.paddingRight,l=c.height*ui.GOLDEN_RATIO;break;case"root-left":s=u.paddingTop,o=u.paddingLeft,a=c.width*ui.GOLDEN_RATIO,l=u.paddingBottom;break;case"root-right":s=u.paddingTop,o=c.width*ui.GOLDEN_RATIO,a=u.paddingRight,l=u.paddingBottom;break;case"root-bottom":s=c.height*ui.GOLDEN_RATIO,o=u.paddingLeft,a=u.paddingRight,l=u.paddingBottom;break;case"widget-all":s=n.top,o=n.left,a=n.right,l=n.bottom;break;case"widget-top":s=n.top,o=n.left,a=n.right,l=n.bottom+n.height/2;break;case"widget-left":s=n.top,o=n.left,a=n.right+n.width/2,l=n.bottom;break;case"widget-right":s=n.top,o=n.left+n.width/2,a=n.right,l=n.bottom;break;case"widget-bottom":s=n.top+n.height/2,o=n.left,a=n.right,l=n.bottom;break;case"widget-tab":{let d=n.tabBar.node.getBoundingClientRect().height;s=n.top,o=n.left,a=n.right,l=n.bottom+n.height-d;break}default:throw"unreachable"}return this.overlay.show({top:s,left:o,right:a,bottom:l}),r}_createTabBar(){let e=this._renderer.createTabBar(this._document);return ui.isGeneratedTabBarProperty.set(e,!0),this._mode==="single-document"&&e.hide(),e.tabsMovable=this._tabsMovable,e.allowDeselect=!1,e.addButtonEnabled=this._addButtonEnabled,e.removeBehavior="select-previous-tab",e.insertBehavior="select-tab-if-needed",e.tabMoved.connect(this._onTabMoved,this),e.currentChanged.connect(this._onCurrentChanged,this),e.tabCloseRequested.connect(this._onTabCloseRequested,this),e.tabDetachRequested.connect(this._onTabDetachRequested,this),e.tabActivateRequested.connect(this._onTabActivateRequested,this),e.addRequested.connect(this._onTabAddRequested,this),e}_createHandle(){return this._renderer.createHandle()}_onTabMoved(){se.postMessage(this,ui.LayoutModified)}_onCurrentChanged(e,t){let{previousTitle:r,currentTitle:n}=t;r&&r.owner.hide(),n&&n.owner.show(),(Ft.IS_EDGE||Ft.IS_IE)&&se.flush(),se.postMessage(this,ui.LayoutModified)}_onTabAddRequested(e){this._addRequested.emit(e)}_onTabActivateRequested(e,t){t.title.owner.activate()}_onTabCloseRequested(e,t){t.title.owner.close()}_onTabDetachRequested(e,t){if(this._drag)return;e.releaseMouse();let{title:r,tab:n,clientX:s,clientY:o,offset:a}=t,l=new La.MimeData,u=()=>r.owner;l.setData("application/vnd.lumino.widget-factory",u);let c=n.cloneNode(!0);a&&(c.style.top=`-${a.y}px`,c.style.left=`-${a.x}px`),this._drag=new Di({document:this._document,mimeData:l,dragImage:c,proposedAction:"move",supportedActions:"move",source:this}),n.classList.add("lm-mod-hidden");let d=()=>{this._drag=null,n.classList.remove("lm-mod-hidden")};this._drag.start(s,o).then(d)}};(function(i){class e{constructor(){this._timer=-1,this._hidden=!0,this.node=document.createElement("div"),this.node.classList.add("lm-DockPanel-overlay"),this.node.classList.add("lm-mod-hidden"),this.node.style.position="absolute",this.node.style.contain="strict"}show(n){let s=this.node.style;s.top=`${n.top}px`,s.left=`${n.left}px`,s.right=`${n.right}px`,s.bottom=`${n.bottom}px`,clearTimeout(this._timer),this._timer=-1,this._hidden&&(this._hidden=!1,this.node.classList.remove("lm-mod-hidden"))}hide(n){if(!this._hidden){if(n<=0){clearTimeout(this._timer),this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden");return}this._timer===-1&&(this._timer=window.setTimeout(()=>{this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden")},n))}}}i.Overlay=e;class t{createTabBar(n){let s=new Ks({document:n});return s.addClass("lm-DockPanel-tabBar"),s}createHandle(){let n=document.createElement("div");return n.className="lm-DockPanel-handle",n}}i.Renderer=t,i.defaultRenderer=new t})(id||(id={}));(function(i){i.GOLDEN_RATIO=.618,i.DEFAULT_EDGES={top:12,right:40,bottom:40,left:40},i.LayoutModified=new qu("layout-modified"),i.isGeneratedTabBarProperty=new Ye({name:"isGeneratedTabBar",create:()=>!1});function e(n){if(n.isEmpty)return{main:null};let s=Array.from(n.widgets()),o=n.selectedWidgets().next().value,a=o?s.indexOf(o):-1;return{main:{type:"tab-area",widgets:s,currentIndex:a}}}i.createSingleDocumentConfig=e;function t(n,s,o,a){if(!he.hitTest(n.node,s,o))return{zone:"invalid",target:null};let l=n.layout;if(l.isEmpty)return{zone:"root-all",target:null};if(n.mode==="multiple-document"){let y=n.node.getBoundingClientRect(),C=s-y.left+1,S=o-y.top+1,R=y.right-s,I=y.bottom-o;switch(Math.min(S,R,I,C)){case S:if(Sg&&h>g&&d>v&&f>v)return{zone:"widget-all",target:u};c/=g,d/=v,h/=g,f/=v;let _=Math.min(c,d,h,f),x;switch(_){case c:x="widget-left";break;case d:x="widget-top";break;case h:x="widget-right";break;case f:x="widget-bottom";break;default:throw"unreachable"}return{zone:x,target:u}}i.findDropTarget=t;function r(n){return n.titles.length===0?null:n.currentTitle?n.currentTitle.owner:n.titles[n.titles.length-1].owner}i.getDropRef=r})(ui||(ui={}));Nv=class{constructor(){this._counter=0,this._widgets=[],this._activeWidget=null,this._currentWidget=null,this._numbers=new Map,this._nodes=new Map,this._activeChanged=new G(this),this._currentChanged=new G(this)}dispose(){if(!(this._counter<0)){this._counter=-1,G.clearData(this);for(let e of this._widgets)e.node.removeEventListener("focus",this,!0),e.node.removeEventListener("blur",this,!0);this._activeWidget=null,this._currentWidget=null,this._nodes.clear(),this._numbers.clear(),this._widgets.length=0}}get currentChanged(){return this._currentChanged}get activeChanged(){return this._activeChanged}get isDisposed(){return this._counter<0}get currentWidget(){return this._currentWidget}get activeWidget(){return this._activeWidget}get widgets(){return this._widgets}focusNumber(e){let t=this._numbers.get(e);return t===void 0?-1:t}has(e){return this._numbers.has(e)}add(e){if(this._numbers.has(e))return;let t=e.node.contains(document.activeElement),r=t?this._counter++:-1;this._widgets.push(e),this._numbers.set(e,r),this._nodes.set(e.node,e),e.node.addEventListener("focus",this,!0),e.node.addEventListener("blur",this,!0),e.disposed.connect(this._onWidgetDisposed,this),t&&this._setWidgets(e,e)}remove(e){if(!this._numbers.has(e)||(e.disposed.disconnect(this._onWidgetDisposed,this),e.node.removeEventListener("focus",this,!0),e.node.removeEventListener("blur",this,!0),L.removeFirstOf(this._widgets,e),this._nodes.delete(e.node),this._numbers.delete(e),this._currentWidget!==e))return;let t=this._widgets.filter(n=>this._numbers.get(n)!==-1),r=uf(t,(n,s)=>{let o=this._numbers.get(n),a=this._numbers.get(s);return o-a})||null;this._setWidgets(r,null)}handleEvent(e){switch(e.type){case"focus":this._evtFocus(e);break;case"blur":this._evtBlur(e);break}}_setWidgets(e,t){let r=this._currentWidget;this._currentWidget=e;let n=this._activeWidget;this._activeWidget=t,r!==e&&this._currentChanged.emit({oldValue:r,newValue:e}),n!==t&&this._activeChanged.emit({oldValue:n,newValue:t})}_evtFocus(e){let t=this._nodes.get(e.currentTarget);t!==this._currentWidget&&this._numbers.set(t,this._counter++),this._setWidgets(t,t)}_evtBlur(e){let t=this._nodes.get(e.currentTarget),r=e.relatedTarget;if(!r){this._setWidgets(this._currentWidget,null);return}if(!t.node.contains(r)&&!Ui(this._widgets,n=>n.node.contains(r))){this._setWidgets(this._currentWidget,null);return}}_onWidgetDisposed(e){this.remove(e)}},Oa=class extends Po{constructor(e={}){super(e),this._dirty=!1,this._rowSpacing=4,this._columnSpacing=4,this._items=[],this._rowStarts=[],this._columnStarts=[],this._rowSizers=[new Lo],this._columnSizers=[new Lo],this._box=null,e.rowCount!==void 0&&Hi.reallocSizers(this._rowSizers,e.rowCount),e.columnCount!==void 0&&Hi.reallocSizers(this._columnSizers,e.columnCount),e.rowSpacing!==void 0&&(this._rowSpacing=Hi.clampValue(e.rowSpacing)),e.columnSpacing!==void 0&&(this._columnSpacing=Hi.clampValue(e.columnSpacing))}dispose(){for(let e of this._items){let t=e.widget;e.dispose(),t.dispose()}this._box=null,this._items.length=0,this._rowStarts.length=0,this._rowSizers.length=0,this._columnStarts.length=0,this._columnSizers.length=0,super.dispose()}get rowCount(){return this._rowSizers.length}set rowCount(e){e!==this.rowCount&&(Hi.reallocSizers(this._rowSizers,e),this.parent&&this.parent.fit())}get columnCount(){return this._columnSizers.length}set columnCount(e){e!==this.columnCount&&(Hi.reallocSizers(this._columnSizers,e),this.parent&&this.parent.fit())}get rowSpacing(){return this._rowSpacing}set rowSpacing(e){e=Hi.clampValue(e),this._rowSpacing!==e&&(this._rowSpacing=e,this.parent&&this.parent.fit())}get columnSpacing(){return this._columnSpacing}set columnSpacing(e){e=Hi.clampValue(e),this._columnSpacing!==e&&(this._columnSpacing=e,this.parent&&this.parent.fit())}rowStretch(e){let t=this._rowSizers[e];return t?t.stretch:-1}setRowStretch(e,t){let r=this._rowSizers[e];r&&(t=Hi.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}columnStretch(e){let t=this._columnSizers[e];return t?t.stretch:-1}setColumnStretch(e,t){let r=this._columnSizers[e];r&&(t=Hi.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}*[Symbol.iterator](){for(let e of this._items)yield e.widget}addWidget(e){L.findFirstIndex(this._items,r=>r.widget===e)===-1&&(this._items.push(new td(e)),this.parent&&this.attachWidget(e))}removeWidget(e){let t=L.findFirstIndex(this._items,n=>n.widget===e);if(t===-1)return;let r=L.removeAt(this._items,t);this.parent&&this.detachWidget(e),r.dispose()}init(){super.init();for(let e of this)this.attachWidget(e)}attachWidget(e){this.parent.isAttached&&se.sendMessage(e,V.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&se.sendMessage(e,V.Msg.AfterAttach),this.parent.fit()}detachWidget(e){this.parent.isAttached&&se.sendMessage(e,V.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&se.sendMessage(e,V.Msg.AfterDetach),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){for(let l=0,u=this.rowCount;l!l.isHidden);for(let l=0,u=e.length;l({row:0,column:0,rowSpan:1,columnSpan:1}),changed:a});function e(l){let u=Math.max(0,Math.floor(l.row||0)),c=Math.max(0,Math.floor(l.column||0)),d=Math.max(1,Math.floor(l.rowSpan||0)),h=Math.max(1,Math.floor(l.columnSpan||0));return{row:u,column:c,rowSpan:d,columnSpan:h}}i.normalizeConfig=e;function t(l){return Math.max(0,Math.floor(l))}i.clampValue=t;function r(l,u){let c=i.cellConfigProperty.get(l.widget),d=i.cellConfigProperty.get(u.widget);return c.rowSpan-d.rowSpan}i.rowSpanCmp=r;function n(l,u){let c=i.cellConfigProperty.get(l.widget),d=i.cellConfigProperty.get(u.widget);return c.columnSpan-d.columnSpan}i.columnSpanCmp=n;function s(l,u){for(u=Math.max(1,Math.floor(u));l.lengthu&&(l.length=u)}i.reallocSizers=s;function o(l,u,c,d){if(c=d)return;let f=(d-h)/(c-u+1);for(let p=u;p<=c;++p)l[p].minSize+=f}i.distributeMin=o;function a(l){l.parent&&l.parent.layout instanceof Oa&&l.parent.fit()}})(Hi||(Hi={}));jh=class extends V{constructor(e={}){super({node:Bv.createNode()}),this._activeIndex=-1,this._tabFocusIndex=0,this._menus=[],this._childMenu=null,this._overflowMenu=null,this._menuItemSizes=[],this._overflowIndex=-1,this.addClass("lm-MenuBar"),this.setFlag(V.Flag.DisallowLayout),this.renderer=e.renderer||jh.defaultRenderer,this._forceItemsPosition=e.forceItemsPosition||{forceX:!0,forceY:!0},this._overflowMenuOptions=e.overflowMenuOptions||{isVisible:!0}}dispose(){this._closeChildMenu(),this._menus.length=0,super.dispose()}get childMenu(){return this._childMenu}get overflowIndex(){return this._overflowIndex}get overflowMenu(){return this._overflowMenu}get contentNode(){return this.node.getElementsByClassName("lm-MenuBar-content")[0]}get activeMenu(){return this._menus[this._activeIndex]||null}set activeMenu(e){this.activeIndex=e?this._menus.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._menus.length)&&(e=-1),e>-1&&this._menus[e].items.length===0&&(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this.update())}get menus(){return this._menus}openActiveMenu(){this._activeIndex!==-1&&(this._openChildMenu(),this._childMenu&&(this._childMenu.activeIndex=-1,this._childMenu.activateNextItem()))}addMenu(e,t=!0){this.insertMenu(this._menus.length,e,t)}insertMenu(e,t,r=!0){this._closeChildMenu();let n=this._menus.indexOf(t),s=Math.max(0,Math.min(e,this._menus.length));if(n===-1){L.insert(this._menus,s,t),t.addClass("lm-MenuBar-menu"),t.aboutToClose.connect(this._onMenuAboutToClose,this),t.menuRequested.connect(this._onMenuMenuRequested,this),t.title.changed.connect(this._onTitleChanged,this),r&&this.update();return}s===this._menus.length&&s--,n!==s&&(L.move(this._menus,n,s),r&&this.update())}removeMenu(e,t=!0){this.removeMenuAt(this._menus.indexOf(e),t)}removeMenuAt(e,t=!0){this._closeChildMenu();let r=L.removeAt(this._menus,e);r&&(r.aboutToClose.disconnect(this._onMenuAboutToClose,this),r.menuRequested.disconnect(this._onMenuMenuRequested,this),r.title.changed.disconnect(this._onTitleChanged,this),r.removeClass("lm-MenuBar-menu"),t&&this.update())}clearMenus(){if(this._menus.length!==0){this._closeChildMenu();for(let e of this._menus)e.aboutToClose.disconnect(this._onMenuAboutToClose,this),e.menuRequested.disconnect(this._onMenuMenuRequested,this),e.title.changed.disconnect(this._onTitleChanged,this),e.removeClass("lm-MenuBar-menu");this._menus.length=0,this.update()}}handleEvent(e){switch(e.type){case"keydown":this._evtKeyDown(e);break;case"mousedown":this._evtMouseDown(e);break;case"mousemove":case"mouseleave":this._evtMouseMove(e);break;case"focusout":this._evtFocusOut(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("keydown",this),this.node.addEventListener("mousedown",this),this.node.addEventListener("mousemove",this),this.node.addEventListener("mouseleave",this),this.node.addEventListener("focusout",this),this.node.addEventListener("contextmenu",this)}onAfterDetach(e){this.node.removeEventListener("keydown",this),this.node.removeEventListener("mousedown",this),this.node.removeEventListener("mousemove",this),this.node.removeEventListener("mouseleave",this),this.node.removeEventListener("focusout",this),this.node.removeEventListener("contextmenu",this),this._closeChildMenu()}onActivateRequest(e){this.isAttached&&this._focusItemAt(0)}onResize(e){this.update(),super.onResize(e)}onUpdateRequest(e){var t;let r=this._menus,n=this.renderer,s=this._activeIndex,o=this._tabFocusIndex>=0&&this._tabFocusIndex-1?this._overflowIndex:r.length,l=0,u=!1;a=this._overflowMenu!==null?a-1:a;let c=new Array(a);for(let d=0;d{this._tabFocusIndex=d,this.activeIndex=d}}),l+=this._menuItemSizes[d],r[d].title.label===this._overflowMenuOptions.title&&(u=!0,a--);if(this._overflowMenuOptions.isVisible){if(this._overflowIndex>-1&&!u){if(this._overflowMenu===null){let d=(t=this._overflowMenuOptions.title)!==null&&t!==void 0?t:"...";this._overflowMenu=new $o({commands:new ti}),this._overflowMenu.title.label=d,this._overflowMenu.title.mnemonic=0,this.addMenu(this._overflowMenu,!1)}for(let d=r.length-2;d>=a;d--){let h=this.menus[d];h.title.mnemonic=0,this._overflowMenu.insertItem(0,{type:"submenu",submenu:h}),this.removeMenu(h,!1)}c[a]=n.renderItem({title:this._overflowMenu.title,active:a===s&&r[a].items.length!==0,tabbable:a===o,disabled:r[a].items.length===0,onfocus:()=>{this._tabFocusIndex=a,this.activeIndex=a}}),a++}else if(this._overflowMenu!==null){let d=this._overflowMenu.items,h=this.node.offsetWidth,f=this._overflowMenu.items.length;for(let p=0;pthis._menuItemSizes[g]){let v=d[0].submenu;this._overflowMenu.removeItemAt(0),this.insertMenu(a,v,!1),c[a]=n.renderItem({title:v.title,active:!1,tabbable:a===o,disabled:r[a].items.length===0,onfocus:()=>{this._tabFocusIndex=a,this.activeIndex=a}}),a++}}this._overflowMenu.items.length===0&&(this.removeMenu(this._overflowMenu,!1),c.pop(),this._overflowMenu=null,this._overflowIndex=-1)}}Pt.render(c,this.contentNode),this._updateOverflowIndex()}_updateOverflowIndex(){if(!this._overflowMenuOptions.isVisible)return;let e=this.contentNode.childNodes,t=this.node.offsetWidth,r=0,n=-1,s=e.length;if(this._menuItemSizes.length==0)for(let o=0;ot&&n===-1&&(n=o)}else for(let o=0;ot){n=o;break}this._overflowIndex=n}_evtKeyDown(e){let t=e.keyCode;if(t===9){this.activeIndex=-1;return}if(e.preventDefault(),e.stopPropagation(),t===13||t===32||t===38||t===40){if(this.activeIndex=this._tabFocusIndex,this.activeIndex!==this._tabFocusIndex)return;this.openActiveMenu();return}if(t===27){this._closeChildMenu(),this._focusItemAt(this.activeIndex);return}if(t===37||t===39){let o=t===37?-1:1,a=this._tabFocusIndex+o,l=this._menus.length;for(let u=0;uhe.hitTest(r,e.clientX,e.clientY));if(t===-1){this._closeChildMenu();return}if(e.button===0)if(this._childMenu)this._closeChildMenu(),this.activeIndex=t;else{e.preventDefault();let r=this._positionForMenu(t);$o.saveWindowData(),this.activeIndex=t,this._openChildMenu(r)}}_evtMouseMove(e){let t=L.findFirstIndex(this.contentNode.children,n=>he.hitTest(n,e.clientX,e.clientY));if(t===this._activeIndex||t===-1&&this._childMenu)return;let r=t>=0&&this._childMenu?this._positionForMenu(t):null;$o.saveWindowData(),this.activeIndex=t,r&&this._openChildMenu(r)}_positionForMenu(e){let t=this.contentNode.children[e],{left:r,bottom:n}=t.getBoundingClientRect();return{top:n,left:r}}_evtFocusOut(e){!this._childMenu&&!this.node.contains(e.relatedTarget)&&(this.activeIndex=-1)}_focusItemAt(e){let t=this.contentNode.childNodes[e];t&&t.focus()}_openChildMenu(e={}){let t=this.activeMenu;if(!t){this._closeChildMenu();return}let r=this._childMenu;if(r===t)return;this._childMenu=t,r?r.close():document.addEventListener("mousedown",this,!0),this._tabFocusIndex=this.activeIndex,se.sendMessage(this,V.Msg.UpdateRequest);let{left:n,top:s}=e;(typeof n>"u"||typeof s>"u")&&({left:n,top:s}=this._positionForMenu(this._activeIndex)),r||this.addClass("lm-mod-active"),t.items.length>0&&t.open(n,s,this._forceItemsPosition)}_closeChildMenu(){if(!this._childMenu)return;this.removeClass("lm-mod-active"),document.removeEventListener("mousedown",this,!0);let e=this._childMenu;this._childMenu=null,e.close(),this.activeIndex=-1}_onMenuAboutToClose(e){e===this._childMenu&&(this.removeClass("lm-mod-active"),document.removeEventListener("mousedown",this,!0),this._childMenu=null,this.activeIndex=-1)}_onMenuMenuRequested(e,t){if(e!==this._childMenu)return;let r=this._activeIndex,n=this._menus.length;switch(t){case"next":this.activeIndex=r===n-1?0:r+1;break;case"previous":this.activeIndex=r===0?n-1:r-1;break}this.openActiveMenu()}_onTitleChanged(){this.update()}};(function(i){class e{renderItem(r){let n=this.createItemClass(r),s=this.createItemDataset(r),o=this.createItemARIA(r);return re.li({className:n,dataset:s,...r.disabled?{}:{tabindex:r.tabbable?"0":"-1"},onfocus:r.onfocus,...o},this.renderIcon(r),this.renderLabel(r))}renderIcon(r){let n=this.createIconClass(r);return re.div({className:n},r.title.icon,r.title.iconLabel)}renderLabel(r){let n=this.formatLabel(r);return re.div({className:"lm-MenuBar-itemLabel"},n)}createItemClass(r){let n="lm-MenuBar-item";return r.title.className&&(n+=` ${r.title.className}`),r.active&&!r.disabled&&(n+=" lm-mod-active"),n}createItemDataset(r){return r.title.dataset}createItemARIA(r){return{role:"menuitem","aria-haspopup":"true","aria-disabled":r.disabled?"true":"false"}}createIconClass(r){let n="lm-MenuBar-itemIcon",s=r.title.iconClass;return s?`${n} ${s}`:n}formatLabel(r){let{label:n,mnemonic:s}=r.title;if(s<0||s>=n.length)return n;let o=n.slice(0,s),a=n.slice(s+1),l=n[s],u=re.span({className:"lm-MenuBar-itemMnemonic"},l);return[o,u,a]}}i.Renderer=e,i.defaultRenderer=new e})(jh||(jh={}));(function(i){function e(){let r=document.createElement("div"),n=document.createElement("ul");return n.className="lm-MenuBar-content",r.appendChild(n),n.setAttribute("role","menubar"),r}i.createNode=e;function t(r,n,s){let o=-1,a=-1,l=!1,u=n.toUpperCase();for(let c=0,d=r.length;c=0&&p1&&this.widgets.forEach(t=>{t.hiddenMode=this._hiddenMode}))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,super.dispose()}attachWidget(e,t){this._hiddenMode===V.HiddenMode.Scale&&this._items.length>0?(this._items.length===1&&(this.widgets[0].hiddenMode=V.HiddenMode.Scale),t.hiddenMode=V.HiddenMode.Scale):t.hiddenMode=V.HiddenMode.Display,L.insert(this._items,e,new td(t)),this.parent.isAttached&&se.sendMessage(t,V.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.isAttached&&se.sendMessage(t,V.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){L.move(this._items,e,t),this.parent.update()}detachWidget(e,t){let 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t=this.node;t.addEventListener("keydown",this,!0),t.addEventListener("contextmenu",this,!0),t.addEventListener("click",this,!0),document.addEventListener("mousedown",this,!0),document.addEventListener("focus",this,!0),document.addEventListener("input",this,!0),this._first=ju.findFirstFocusable(this.node),this._original=document.activeElement;let r=()=>{var n;if(this._focusNodeSelector){let s=this.node.querySelector(".jp-Dialog-body"),o=s?.querySelector(this._focusNodeSelector);o&&(this._primary=o)}(n=this._primary)===null||n===void 0||n.focus(),this._ready.resolve()};this._bodyWidget instanceof Or&&this._bodyWidget.renderPromise!==void 0?this._bodyWidget.renderPromise.then(()=>{r()}).catch(()=>{console.error("Error while loading Dialog's body")}):r()}onAfterDetach(e){let 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unhandledMessage(){return this._unhandledMessage}get propertyChanged(){return this._propertyChanged}get kernelPreference(){return this._kernelPreference}set kernelPreference(e){if(!No.JSONExt.deepEqual(e,this._kernelPreference)){let t=this._kernelPreference;this._kernelPreference=e,this._preferenceChanged.emit({name:"kernelPreference",oldValue:t,newValue:No.JSONExt.deepCopy(e)})}}get kernelPreferenceChanged(){return this._preferenceChanged}get isReady(){return this._isReady}get ready(){return this._ready.promise}get isTerminating(){return this._isTerminating}get isRestarting(){return this._isRestarting}get hasNoKernel(){return this.kernelDisplayName===this.noKernelName}get kernelDisplayName(){var e,t,r,n,s,o,a;let l=(e=this.session)===null||e===void 0?void 0:e.kernel;return this._pendingKernelName===this.noKernelName?this.noKernelName:this._pendingKernelName?(n=(r=(t=this.specsManager.specs)===null||t===void 0?void 0:t.kernelspecs[this._pendingKernelName])===null||r===void 0?void 0:r.display_name)!==null&&n!==void 0?n:this._pendingKernelName:l?(a=(o=(s=this.specsManager.specs)===null||s===void 0?void 0:s.kernelspecs[l.name])===null||o===void 0?void 0:o.display_name)!==null&&a!==void 0?a:l.name:this.noKernelName}get kernelDisplayStatus(){var e,t;let r=(e=this.session)===null||e===void 0?void 0:e.kernel;return this._isTerminating?"terminating":this._isRestarting?"restarting":this._pendingKernelName===this.noKernelName?"unknown":!r&&this._pendingKernelName||!r&&!this.isReady&&this.kernelPreference.canStart!==!1&&this.kernelPreference.shouldStart!==!1?"initializing":(t=r?.connectionStatus==="connected"?r?.status:r?.connectionStatus)!==null&&t!==void 0?t:"unknown"}get prevKernelName(){return this._prevKernelName}get isDisposed(){return this._isDisposed}get disposed(){return this._disposed}get noKernelName(){return this._trans.__("No Kernel")}dispose(){this._isDisposed||(this._isDisposed=!0,this._disposed.emit(),this._session&&(this.kernelPreference.shutdownOnDispose&&this.sessionManager.shutdown(this._session.id).catch(e=>{console.error(`Kernel not shut down ${e}`)}),this._session.dispose(),this._session=null),this._dialog&&this._dialog.dispose(),this._busyDisposable&&(this._busyDisposable.dispose(),this._busyDisposable=null),G.clearData(this))}async startKernel(){let e=this.kernelPreference;if(!e.autoStartDefault&&e.shouldStart===!1)return!0;let t;if(e.id)t={id:e.id};else{let r=wm.getDefaultKernel({specs:this.specsManager.specs,sessions:this.sessionManager.running(),preference:e});r&&(t={name:r})}if(t)try{return await this._changeKernel(t),!1}catch{}return!0}async restartKernel(){var e,t,r,n,s,o;let a=((e=this.session)===null||e===void 0?void 0:e.kernel)||null;if(!this._isRestarting){this._isRestarting=!0,this._isReady=!1,this._statusChanged.emit("restarting");try{await((r=(t=this.session)===null||t===void 0?void 0:t.kernel)===null||r===void 0?void 0:r.restart()),this._isReady=!0}catch(l){console.error(l)}this._isRestarting=!1,this._statusChanged.emit(((s=(n=this.session)===null||n===void 0?void 0:n.kernel)===null||s===void 0?void 0:s.status)||"unknown"),this._kernelChanged.emit({name:"kernel",oldValue:a,newValue:((o=this.session)===null||o===void 0?void 0:o.kernel)||null})}}async changeKernel(e={}){if(this.isDisposed)throw new Error("Disposed");return await this._initStarted.promise,this._changeKernel(e)}async shutdown(){if(!(this.isDisposed||!this._initializing))return await this._initStarted.promise,this._pendingSessionRequest="",this._pendingKernelName=this.noKernelName,this._shutdownSession()}async initialize(){if(this._initializing)return this._initPromise.promise;this._initializing=!0;let e=await this._initialize();return e||(this._isReady=!0,this._ready.resolve(void 0)),this._pendingSessionRequest||this._initStarted.resolve(void 0),this._initPromise.resolve(e),e}async _initialize(){let e=this.sessionManager;await e.ready,await e.refreshRunning();let t=Ui(e.running(),r=>r.path===this._path);if(t)try{let r=e.connectTo({model:t});this._handleNewSession(r)}catch(r){return this._handleSessionError(r),Promise.reject(r)}return await this._startIfNecessary()}async _shutdownSession(){var e;let t=this._session,r=this._isTerminating,n=this._isReady;this._isTerminating=!0,this._isReady=!1,this._statusChanged.emit("terminating");try{await t?.shutdown(),this._isTerminating=!1,t?.dispose(),this._session=null;let s=t?.kernel||null;this._statusChanged.emit("unknown"),this._kernelChanged.emit({name:"kernel",oldValue:s,newValue:null}),this._sessionChanged.emit({name:"session",oldValue:t,newValue:null})}catch(s){this._isTerminating=r,this._isReady=n;let o=(e=t?.kernel)===null||e===void 0?void 0:e.status;throw o===void 0?this._statusChanged.emit("unknown"):this._statusChanged.emit(o),s}}async _startIfNecessary(){var e;let t=this.kernelPreference;return this.isDisposed||!((e=this.session)===null||e===void 0)&&e.kernel||t.shouldStart===!1||t.canStart===!1?!1:this.startKernel()}async _changeKernel(e={}){if(e.name&&(this._pendingKernelName=e.name),this._session||this._kernelChanged.emit({name:"kernel",oldValue:null,newValue:null}),this._pendingSessionRequest||this._initStarted.resolve(void 0),this._session&&!this._isTerminating)try{return await this._session.changeKernel(e),this._session.kernel}catch(n){throw this._handleSessionError(n),n}let t=Hv.PathExt.dirname(this._path),r=this._pendingSessionRequest=Hv.PathExt.join(t,No.UUID.uuid4());try{this._statusChanged.emit("starting");let n=await this.sessionManager.startNew({path:r,type:this._type,name:this._name,kernel:e});return this._pendingSessionRequest!==n.path?(await n.shutdown(),n.dispose(),null):(await n.setPath(this._path),await n.setName(this._name),this._session&&!this._isTerminating&&await this._shutdownSession(),this._handleNewSession(n))}catch(n){throw this._handleSessionError(n),n}}_handleNewSession(e){var t,r,n;if(this.isDisposed)throw Error("Disposed");return this._isReady||(this._isReady=!0,this._ready.resolve(void 0)),this._session&&this._session.dispose(),this._session=e,this._pendingKernelName="",e&&(this._prevKernelName=(r=(t=e.kernel)===null||t===void 0?void 0:t.name)!==null&&r!==void 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this._displayKernelError(r,t)}async _displayKernelError(e,t){let r=xm.createElement("div",null,e&&xm.createElement("pre",null,e),t&&xm.createElement("details",{className:"jp-mod-wide"},xm.createElement("pre",null,t)));await(this._dialog=new pt({title:this._trans.__("Error Starting Kernel"),body:r,buttons:[pt.okButton()]})).launch(),this._dialog=null}_onSessionDisposed(){if(this._session){let e=this._session;this._session=null;let t=this._session;this._sessionChanged.emit({name:"session",oldValue:e,newValue:t})}}_onPropertyChanged(e,t){switch(t){case"path":this._path=e.path;break;case"name":this._name=e.name;break;case"type":this._type=e.type;break;default:throw new Error(`unrecognized property ${t}`)}this._propertyChanged.emit(t)}_onKernelChanged(e,t){this._kernelChanged.emit(t)}_onStatusChanged(e,t){var r;if(t==="dead"){let n=(r=e.kernel)===null||r===void 0?void 0:r.model;if(n?.reason){let 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s=r-t;this.result=this.result*Math.pow(n,s)+parseInt(e.substr(t,s),n),this.consumed+=s}},i.prototype.stateNumericHex=function(e,t){for(var r=t;t>14;t>14,s!==0){if(o===tr.SEMI)return this.emitNamedEntityData(this.treeIndex,s,this.consumed+this.excess);this.decodeMode!==Bo.Strict&&(this.result=this.treeIndex,this.consumed+=this.excess,this.excess=0)}}return-1},i.prototype.emitNotTerminatedNamedEntity=function(){var e,t=this,r=t.result,n=t.decodeTree,s=(n[r]&sd.VALUE_LENGTH)>>14;return this.emitNamedEntityData(r,s,this.consumed),(e=this.errors)===null||e===void 0||e.missingSemicolonAfterCharacterReference(),this.consumed},i.prototype.emitNamedEntityData=function(e,t,r){var n=this.decodeTree;return this.emitCodePoint(t===1?n[e]&~sd.VALUE_LENGTH:n[e+1],r),t===3&&this.emitCodePoint(n[e+2],r),r},i.prototype.end=function(){var e;switch(this.state){case er.NamedEntity:return 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od=Z4(),Se;(function(i){i[i.Tab=9]="Tab",i[i.NewLine=10]="NewLine",i[i.FormFeed=12]="FormFeed",i[i.CarriageReturn=13]="CarriageReturn",i[i.Space=32]="Space",i[i.ExclamationMark=33]="ExclamationMark",i[i.Number=35]="Number",i[i.Amp=38]="Amp",i[i.SingleQuote=39]="SingleQuote",i[i.DoubleQuote=34]="DoubleQuote",i[i.Dash=45]="Dash",i[i.Slash=47]="Slash",i[i.Zero=48]="Zero",i[i.Nine=57]="Nine",i[i.Semi=59]="Semi",i[i.Lt=60]="Lt",i[i.Eq=61]="Eq",i[i.Gt=62]="Gt",i[i.Questionmark=63]="Questionmark",i[i.UpperA=65]="UpperA",i[i.LowerA=97]="LowerA",i[i.UpperF=70]="UpperF",i[i.LowerF=102]="LowerF",i[i.UpperZ=90]="UpperZ",i[i.LowerZ=122]="LowerZ",i[i.LowerX=120]="LowerX",i[i.OpeningSquareBracket=91]="OpeningSquareBracket"})(Se||(Se={}));var 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Ba(i){return i===Se.Space||i===Se.NewLine||i===Se.Tab||i===Se.FormFeed||i===Se.CarriageReturn}function Kv(i){return i===Se.Slash||i===Se.Gt||Ba(i)}function hQ(i){return i>=Se.Zero&&i<=Se.Nine}function vCe(i){return i>=Se.LowerA&&i<=Se.LowerZ||i>=Se.UpperA&&i<=Se.UpperZ}function _Ce(i){return i>=Se.UpperA&&i<=Se.UpperF||i>=Se.LowerA&&i<=Se.LowerF}var Gh;(function(i){i[i.NoValue=0]="NoValue",i[i.Unquoted=1]="Unquoted",i[i.Single=2]="Single",i[i.Double=3]="Double"})(Gh=Kh.QuoteType||(Kh.QuoteType={}));var wn={Cdata:new Uint8Array([67,68,65,84,65,91]),CdataEnd:new Uint8Array([93,93,62]),CommentEnd:new Uint8Array([45,45,62]),ScriptEnd:new Uint8Array([60,47,115,99,114,105,112,116]),StyleEnd:new Uint8Array([60,47,115,116,121,108,101]),TitleEnd:new Uint8Array([60,47,116,105,116,108,101])},yCe=function(){function i(e,t){var r=e.xmlMode,n=r===void 0?!1:r,s=e.decodeEntities,o=s===void 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0,this.running=!0,this.offset=0},i.prototype.write=function(e){this.offset+=this.buffer.length,this.buffer=e,this.parse()},i.prototype.end=function(){this.running&&this.finish()},i.prototype.pause=function(){this.running=!1},i.prototype.resume=function(){this.running=!0,this.indexthis.sectionStart&&this.cbs.ontext(this.sectionStart,this.index),this.state=J.BeforeTagName,this.sectionStart=this.index):this.decodeEntities&&e===Se.Amp&&(this.state=J.BeforeEntity)},i.prototype.stateSpecialStartSequence=function(e){var t=this.sequenceIndex===this.currentSequence.length,r=t?Kv(e):(e|32)===this.currentSequence[this.sequenceIndex];if(!r)this.isSpecial=!1;else if(!t){this.sequenceIndex++;return}this.sequenceIndex=0,this.state=J.InTagName,this.stateInTagName(e)},i.prototype.stateInSpecialTag=function(e){if(this.sequenceIndex===this.currentSequence.length){if(e===Se.Gt||Ba(e)){var t=this.index-this.currentSequence.length;if(this.sectionStart>14)-1;if(!this.allowLegacyEntity()&&e!==Se.Semi)this.trieIndex+=r;else{var n=this.index-this.entityExcess+1;n>this.sectionStart&&this.emitPartial(this.sectionStart,n),this.entityResult=this.trieIndex,this.trieIndex+=r,this.entityExcess=0,this.sectionStart=this.index+1,r===0&&this.emitNamedEntity()}}},i.prototype.emitNamedEntity=function(){if(this.state=this.baseState,this.entityResult!==0){var e=(this.entityTrie[this.entityResult]&od.BinTrieFlags.VALUE_LENGTH)>>14;switch(e){case 1:{this.emitCodePoint(this.entityTrie[this.entityResult]&~od.BinTrieFlags.VALUE_LENGTH);break}case 2:{this.emitCodePoint(this.entityTrie[this.entityResult+1]);break}case 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t=this.index-this.entityExcess-1,r=t+2+Number(this.state===J.InHexEntity);r!==this.index&&(t>this.sectionStart&&this.emitPartial(this.sectionStart,t),this.sectionStart=this.index+Number(e),this.emitCodePoint((0,od.replaceCodePoint)(this.entityResult))),this.state=this.baseState},i.prototype.stateInNumericEntity=function(e){e===Se.Semi?this.emitNumericEntity(!0):hQ(e)?(this.entityResult=this.entityResult*10+(e-Se.Zero),this.entityExcess++):(this.allowLegacyEntity()?this.emitNumericEntity(!1):this.state=this.baseState,this.index--)},i.prototype.stateInHexEntity=function(e){e===Se.Semi?this.emitNumericEntity(!0):hQ(e)?(this.entityResult=this.entityResult*16+(e-Se.Zero),this.entityExcess++):_Ce(e)?(this.entityResult=this.entityResult*16+((e|32)-Se.LowerA+10),this.entityExcess++):(this.allowLegacyEntity()?this.emitNumericEntity(!1):this.state=this.baseState,this.index--)},i.prototype.allowLegacyEntity=function(){return!this.xmlMode&&(this.baseState===J.Text||this.baseState===J.InSpecialTag)},i.prototype.cleanup=function(){this.running&&this.sectionStart!==this.index&&(this.state===J.Text||this.state===J.InSpecialTag&&this.sequenceIndex===0?(this.cbs.ontext(this.sectionStart,this.index),this.sectionStart=this.index):(this.state===J.InAttributeValueDq||this.state===J.InAttributeValueSq||this.state===J.InAttributeValueNq)&&(this.cbs.onattribdata(this.sectionStart,this.index),this.sectionStart=this.index))},i.prototype.shouldContinue=function(){return 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gl,fa,os,Lg,he,ax,pa,ru,om,am,Ng,Dg,Mo,ml,YE,lx,cx,JE,nu,ZE,Og,QE,as,iu,dx,eI,lm,fl,ma,wn,i5,gZ,Lc,Xs,tI,Ki,su,ji,pl,vr,cm,ux,r5,n5,iI,s5,o5,nI=j(()=>{Pn();gl=L(Zr());Up();ox();qp();As();t5();Ub();Vb();lc();qb();fa=class{constructor(){this.sizeHint=0,this.minSize=0,this.maxSize=1/0,this.stretch=1,this.size=0,this.done=!1}};(function(i){function e(s,o){let a=s.length;if(a===0)return o;let l=0,c=0,u=0,d=0,f=0;for(let p=0;p0&&(d+=_.stretch,f++)}if(o===u)return 0;if(o<=l){for(let p=0;p=c){for(let p=0;p0&&p>h;){let _=p,x=d;for(let y=0;y0&&p>h;){let _=p/m;for(let x=0;x0&&p>h;){let _=p,x=d;for(let y=0;y=S.maxSize?(p-=S.maxSize-S.size,d-=S.stretch,S.size=S.maxSize,S.done=!0,m--,f--):(p-=I,S.size+=I)}}for(;m>0&&p>h;){let _=p/m;for(let x=0;x=y.maxSize?(p-=y.maxSize-y.size,y.size=y.maxSize,y.done=!0,m--):(p-=_,y.size+=_))}}}return 0}i.calc=e;function t(s,o,a){s.length===0||a===0||(a>0?r(s,o,a):n(s,o,-a))}i.adjust=t;function r(s,o,a){let l=0;for(let f=0;f<=o;++f){let h=s[f];l+=h.maxSize-h.size}let c=0;for(let f=o+1,h=s.length;f=0&&u>0;--f){let h=s[f],m=h.maxSize-h.size;m>=u?(h.sizeHint=h.size+u,u=0):(h.sizeHint=h.size+m,u-=m)}let d=a;for(let f=o+1,h=s.length;f0;++f){let m=s[f],p=m.size-m.minSize;p>=d?(m.sizeHint=m.size-d,d=0):(m.sizeHint=m.size-p,d-=p)}}function n(s,o,a){let l=0;for(let f=o+1,h=s.length;f0;++f){let m=s[f],p=m.maxSize-m.size;p>=u?(m.sizeHint=m.size+u,u=0):(m.sizeHint=m.size+p,u-=p)}let d=a;for(let f=o;f>=0&&d>0;--f){let h=s[f],m=h.size-h.minSize;m>=d?(h.sizeHint=h.size-d,d=0):(h.sizeHint=h.size-m,d-=m)}}})(os||(os={}));Lg=class{constructor(e){this._label="",this._caption="",this._mnemonic=-1,this._icon=void 0,this._iconClass="",this._iconLabel="",this._className="",this._closable=!1,this._changed=new Me(this),this._isDisposed=!1,this.owner=e.owner,e.label!==void 0&&(this._label=e.label),e.mnemonic!==void 0&&(this._mnemonic=e.mnemonic),e.icon!==void 0&&(this._icon=e.icon),e.iconClass!==void 0&&(this._iconClass=e.iconClass),e.iconLabel!==void 0&&(this._iconLabel=e.iconLabel),e.caption!==void 0&&(this._caption=e.caption),e.className!==void 0&&(this._className=e.className),e.closable!==void 0&&(this._closable=e.closable),this._dataset=e.dataset||{}}get changed(){return this._changed}get label(){return this._label}set label(e){this._label!==e&&(this._label=e,this._changed.emit(void 0))}get mnemonic(){return this._mnemonic}set mnemonic(e){this._mnemonic!==e&&(this._mnemonic=e,this._changed.emit(void 0))}get icon(){return this._icon}set icon(e){this._icon!==e&&(this._icon=e,this._changed.emit(void 0))}get iconClass(){return this._iconClass}set iconClass(e){this._iconClass!==e&&(this._iconClass=e,this._changed.emit(void 0))}get iconLabel(){return this._iconLabel}set iconLabel(e){this._iconLabel!==e&&(this._iconLabel=e,this._changed.emit(void 0))}get caption(){return this._caption}set caption(e){this._caption!==e&&(this._caption=e,this._changed.emit(void 0))}get className(){return this._className}set className(e){this._className!==e&&(this._className=e,this._changed.emit(void 0))}get closable(){return this._closable}set closable(e){this._closable!==e&&(this._closable=e,this._changed.emit(void 0))}get dataset(){return this._dataset}set dataset(e){this._dataset!==e&&(this._dataset=e,this._changed.emit(void 0))}get isDisposed(){return this._isDisposed}dispose(){this.isDisposed||(this._isDisposed=!0,Me.clearData(this))}},he=class{constructor(e={}){this._flags=0,this._layout=null,this._parent=null,this._disposed=new Me(this),this._hiddenMode=he.HiddenMode.Display,this.node=ax.createNode(e),this.addClass("lm-Widget")}dispose(){this.isDisposed||(this.setFlag(he.Flag.IsDisposed),this._disposed.emit(void 0),this.parent?this.parent=null:this.isAttached&&he.detach(this),this._layout&&(this._layout.dispose(),this._layout=null),this.title.dispose(),Me.clearData(this),Te.clearData(this),ht.clearData(this))}get disposed(){return this._disposed}get isDisposed(){return this.testFlag(he.Flag.IsDisposed)}get isAttached(){return this.testFlag(he.Flag.IsAttached)}get isHidden(){return this.testFlag(he.Flag.IsHidden)}get isVisible(){let e=this;do{if(e.isHidden||!e.isAttached)return!1;e=e.parent}while(e!=null);return!0}get title(){return ax.titleProperty.get(this)}get id(){return this.node.id}set id(e){this.node.id=e}get dataset(){return this.node.dataset}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){this._hiddenMode!==e&&(this.isHidden&&this._toggleHidden(!1),e==he.HiddenMode.Scale?this.node.style.willChange="transform":this.node.style.willChange="auto",this._hiddenMode=e,this.isHidden&&this._toggleHidden(!0))}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(e&&this.contains(e))throw new Error("Invalid parent widget.");if(this._parent&&!this._parent.isDisposed){let t=new he.ChildMessage("child-removed",this);Te.sendMessage(this._parent,t)}if(this._parent=e,this._parent&&!this._parent.isDisposed){let t=new he.ChildMessage("child-added",this);Te.sendMessage(this._parent,t)}this.isDisposed||Te.sendMessage(this,he.Msg.ParentChanged)}}get layout(){return this._layout}set layout(e){if(this._layout!==e){if(this.testFlag(he.Flag.DisallowLayout))throw new Error("Cannot set widget layout.");if(this._layout)throw new Error("Cannot change widget layout.");if(e.parent)throw new Error("Cannot change layout parent.");this._layout=e,e.parent=this}}*children(){this._layout&&(yield*this._layout)}contains(e){for(let t=e;t;t=t._parent)if(t===this)return!0;return!1}hasClass(e){return this.node.classList.contains(e)}addClass(e){this.node.classList.add(e)}removeClass(e){this.node.classList.remove(e)}toggleClass(e,t){return t===!0?(this.node.classList.add(e),!0):t===!1?(this.node.classList.remove(e),!1):this.node.classList.toggle(e)}update(){Te.postMessage(this,he.Msg.UpdateRequest)}fit(){Te.postMessage(this,he.Msg.FitRequest)}activate(){Te.postMessage(this,he.Msg.ActivateRequest)}close(){Te.sendMessage(this,he.Msg.CloseRequest)}show(){if(this.testFlag(he.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&Te.sendMessage(this,he.Msg.BeforeShow),this.clearFlag(he.Flag.IsHidden),this._toggleHidden(!1),this.isAttached&&(!this.parent||this.parent.isVisible)&&Te.sendMessage(this,he.Msg.AfterShow),this.parent)){let e=new he.ChildMessage("child-shown",this);Te.sendMessage(this.parent,e)}}hide(){if(!this.testFlag(he.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&Te.sendMessage(this,he.Msg.BeforeHide),this.setFlag(he.Flag.IsHidden),this._toggleHidden(!0),this.isAttached&&(!this.parent||this.parent.isVisible)&&Te.sendMessage(this,he.Msg.AfterHide),this.parent)){let e=new he.ChildMessage("child-hidden",this);Te.sendMessage(this.parent,e)}}setHidden(e){e?this.hide():this.show()}testFlag(e){return(this._flags&e)!==0}setFlag(e){this._flags|=e}clearFlag(e){this._flags&=~e}processMessage(e){switch(e.type){case"resize":this.notifyLayout(e),this.onResize(e);break;case"update-request":this.notifyLayout(e),this.onUpdateRequest(e);break;case"fit-request":this.notifyLayout(e),this.onFitRequest(e);break;case"before-show":this.notifyLayout(e),this.onBeforeShow(e);break;case"after-show":this.setFlag(he.Flag.IsVisible),this.notifyLayout(e),this.onAfterShow(e);break;case"before-hide":this.notifyLayout(e),this.onBeforeHide(e);break;case"after-hide":this.clearFlag(he.Flag.IsVisible),this.notifyLayout(e),this.onAfterHide(e);break;case"before-attach":this.notifyLayout(e),this.onBeforeAttach(e);break;case"after-attach":!this.isHidden&&(!this.parent||this.parent.isVisible)&&this.setFlag(he.Flag.IsVisible),this.setFlag(he.Flag.IsAttached),this.notifyLayout(e),this.onAfterAttach(e);break;case"before-detach":this.notifyLayout(e),this.onBeforeDetach(e);break;case"after-detach":this.clearFlag(he.Flag.IsVisible),this.clearFlag(he.Flag.IsAttached),this.notifyLayout(e),this.onAfterDetach(e);break;case"activate-request":this.notifyLayout(e),this.onActivateRequest(e);break;case"close-request":this.notifyLayout(e),this.onCloseRequest(e);break;case"child-added":this.notifyLayout(e),this.onChildAdded(e);break;case"child-removed":this.notifyLayout(e),this.onChildRemoved(e);break;default:this.notifyLayout(e);break}}notifyLayout(e){this._layout&&this._layout.processParentMessage(e)}onCloseRequest(e){this.parent?this.parent=null:this.isAttached&&he.detach(this)}onResize(e){}onUpdateRequest(e){}onFitRequest(e){}onActivateRequest(e){}onBeforeShow(e){}onAfterShow(e){}onBeforeHide(e){}onAfterHide(e){}onBeforeAttach(e){}onAfterAttach(e){}onBeforeDetach(e){}onAfterDetach(e){}onChildAdded(e){}onChildRemoved(e){}_toggleHidden(e){if(e)switch(this._hiddenMode){case he.HiddenMode.Display:this.addClass("lm-mod-hidden");break;case he.HiddenMode.Scale:this.node.style.transform="scale(0)",this.node.setAttribute("aria-hidden","true");break;case he.HiddenMode.ContentVisibility:this.node.style.contentVisibility="hidden",this.node.style.zIndex="-1";break}else switch(this._hiddenMode){case he.HiddenMode.Display:this.removeClass("lm-mod-hidden");break;case he.HiddenMode.Scale:this.node.style.transform="",this.node.removeAttribute("aria-hidden");break;case he.HiddenMode.ContentVisibility:this.node.style.contentVisibility="",this.node.style.zIndex="";break}}};(function(i){(function(s){s[s.Display=0]="Display",s[s.Scale=1]="Scale",s[s.ContentVisibility=2]="ContentVisibility"})(i.HiddenMode||(i.HiddenMode={})),function(s){s[s.IsDisposed=1]="IsDisposed",s[s.IsAttached=2]="IsAttached",s[s.IsHidden=4]="IsHidden",s[s.IsVisible=8]="IsVisible",s[s.DisallowLayout=16]="DisallowLayout"}(i.Flag||(i.Flag={})),function(s){s.BeforeShow=new yn("before-show"),s.AfterShow=new yn("after-show"),s.BeforeHide=new yn("before-hide"),s.AfterHide=new yn("after-hide"),s.BeforeAttach=new yn("before-attach"),s.AfterAttach=new yn("after-attach"),s.BeforeDetach=new yn("before-detach"),s.AfterDetach=new yn("after-detach"),s.ParentChanged=new yn("parent-changed"),s.UpdateRequest=new Ac("update-request"),s.FitRequest=new Ac("fit-request"),s.ActivateRequest=new Ac("activate-request"),s.CloseRequest=new Ac("close-request")}(i.Msg||(i.Msg={}));class e extends yn{constructor(o,a){super(o),this.child=a}}i.ChildMessage=e;class t extends yn{constructor(o,a){super("resize"),this.width=o,this.height=a}}i.ResizeMessage=t,function(s){s.UnknownSize=new s(-1,-1)}(t=i.ResizeMessage||(i.ResizeMessage={}));function r(s,o,a=null){if(s.parent)throw new Error("Cannot attach a child widget.");if(s.isAttached||s.node.isConnected)throw new Error("Widget is already attached.");if(!o.isConnected)throw new Error("Host is not attached.");Te.sendMessage(s,i.Msg.BeforeAttach),o.insertBefore(s.node,a),Te.sendMessage(s,i.Msg.AfterAttach)}i.attach=r;function n(s){if(s.parent)throw new Error("Cannot detach a child widget.");if(!s.isAttached||!s.node.isConnected)throw new Error("Widget is not attached.");Te.sendMessage(s,i.Msg.BeforeDetach),s.node.parentNode.removeChild(s.node),Te.sendMessage(s,i.Msg.AfterDetach)}i.detach=n})(he||(he={}));(function(i){i.titleProperty=new ht({name:"title",create:t=>new Lg({owner:t})});function e(t){return t.node||document.createElement(t.tag||"div")}i.createNode=e})(ax||(ax={}));pa=class{constructor(e={}){this._disposed=!1,this._parent=null,this._fitPolicy=e.fitPolicy||"set-min-size"}dispose(){this._parent=null,this._disposed=!0,Me.clearData(this),ht.clearData(this)}get isDisposed(){return this._disposed}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(this._parent)throw new Error("Cannot change parent widget.");if(e.layout!==this)throw new Error("Invalid parent widget.");this._parent=e,this.init()}}get fitPolicy(){return this._fitPolicy}set fitPolicy(e){if(this._fitPolicy!==e&&(this._fitPolicy=e,this._parent)){let t=this._parent.node.style;t.minWidth="",t.minHeight="",t.maxWidth="",t.maxHeight="",this._parent.fit()}}processParentMessage(e){switch(e.type){case"resize":this.onResize(e);break;case"update-request":this.onUpdateRequest(e);break;case"fit-request":this.onFitRequest(e);break;case"before-show":this.onBeforeShow(e);break;case"after-show":this.onAfterShow(e);break;case"before-hide":this.onBeforeHide(e);break;case"after-hide":this.onAfterHide(e);break;case"before-attach":this.onBeforeAttach(e);break;case"after-attach":this.onAfterAttach(e);break;case"before-detach":this.onBeforeDetach(e);break;case"after-detach":this.onAfterDetach(e);break;case"child-removed":this.onChildRemoved(e);break;case"child-shown":this.onChildShown(e);break;case"child-hidden":this.onChildHidden(e);break}}init(){for(let e of this)e.parent=this.parent}onResize(e){for(let t of this)Te.sendMessage(t,he.ResizeMessage.UnknownSize)}onUpdateRequest(e){for(let t of this)Te.sendMessage(t,he.ResizeMessage.UnknownSize)}onBeforeAttach(e){for(let t of this)Te.sendMessage(t,e)}onAfterAttach(e){for(let t of this)Te.sendMessage(t,e)}onBeforeDetach(e){for(let t of this)Te.sendMessage(t,e)}onAfterDetach(e){for(let t of this)Te.sendMessage(t,e)}onBeforeShow(e){for(let t of this)t.isHidden||Te.sendMessage(t,e)}onAfterShow(e){for(let t of this)t.isHidden||Te.sendMessage(t,e)}onBeforeHide(e){for(let t of this)t.isHidden||Te.sendMessage(t,e)}onAfterHide(e){for(let t of this)t.isHidden||Te.sendMessage(t,e)}onChildRemoved(e){this.removeWidget(e.child)}onFitRequest(e){}onChildShown(e){}onChildHidden(e){}};(function(i){function e(s){return om.horizontalAlignmentProperty.get(s)}i.getHorizontalAlignment=e;function t(s,o){om.horizontalAlignmentProperty.set(s,o)}i.setHorizontalAlignment=t;function r(s){return 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e=Ce.sizeLimits(this.widget.node);this._minWidth=e.minWidth,this._minHeight=e.minHeight,this._maxWidth=e.maxWidth,this._maxHeight=e.maxHeight}update(e,t,r,n){let s=Math.max(this._minWidth,Math.min(r,this._maxWidth)),o=Math.max(this._minHeight,Math.min(n,this._maxHeight));if(s"center",changed:e}),i.verticalAlignmentProperty=new ht({name:"verticalAlignment",create:()=>"top",changed:e});function e(t){t.parent&&t.parent.layout&&t.parent.update()}})(om||(om={}));am=class extends pa{constructor(){super(...arguments),this._widgets=[]}dispose(){for(;this._widgets.length>0;)this._widgets.pop().dispose();super.dispose()}get widgets(){return this._widgets}*[Symbol.iterator](){yield*this._widgets}addWidget(e){this.insertWidget(this._widgets.length,e)}insertWidget(e,t){t.parent=this.parent;let r=this._widgets.indexOf(t),n=Math.max(0,Math.min(e,this._widgets.length));if(r===-1){z.insert(this._widgets,n,t),this.parent&&this.attachWidget(n,t);return}n===this._widgets.length&&n--,r!==n&&(z.move(this._widgets,r,n),this.parent&&this.moveWidget(r,n,t))}removeWidget(e){this.removeWidgetAt(this._widgets.indexOf(e))}removeWidgetAt(e){let t=z.removeAt(this._widgets,e);t&&this.parent&&this.detachWidget(e,t)}init(){super.init();let e=0;for(let t of this)this.attachWidget(e++,t)}attachWidget(e,t){let r=this.parent.node.children[e];this.parent.isAttached&&Te.sendMessage(t,he.Msg.BeforeAttach),this.parent.node.insertBefore(t.node,r),this.parent.isAttached&&Te.sendMessage(t,he.Msg.AfterAttach)}moveWidget(e,t,r){this.parent.isAttached&&Te.sendMessage(r,he.Msg.BeforeDetach),this.parent.node.removeChild(r.node),this.parent.isAttached&&Te.sendMessage(r,he.Msg.AfterDetach);let n=this.parent.node.children[t];this.parent.isAttached&&Te.sendMessage(r,he.Msg.BeforeAttach),this.parent.node.insertBefore(r.node,n),this.parent.isAttached&&Te.sendMessage(r,he.Msg.AfterAttach)}detachWidget(e,t){this.parent.isAttached&&Te.sendMessage(t,he.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&Te.sendMessage(t,he.Msg.AfterDetach)}};(function(i){function e(t){return Math.max(0,Math.floor(t))}i.clampDimension=e})(Ng||(Ng={}));Dg=Ng,Mo=class extends am{constructor(e){super(),this.widgetOffset=0,this._fixed=0,this._spacing=4,this._dirty=!1,this._hasNormedSizes=!1,this._sizers=[],this._items=[],this._handles=[],this._box=null,this._alignment="start",this._orientation="horizontal",this.renderer=e.renderer,e.orientation!==void 0&&(this._orientation=e.orientation),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=Ng.clampDimension(e.spacing))}dispose(){for(let e of 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r=this._sizers.length,n=e.slice(0,r);for(;n.length0&&(s.sizeHint=s.size);os.adjust(this._sizers,e,n),this.parent&&this.parent.update()}}init(){this.parent.dataset.orientation=this.orientation,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){let r=new ru(t),n=ml.createHandle(this.renderer),s=ml.averageSize(this._sizers),o=ml.createSizer(s);z.insert(this._items,e,r),z.insert(this._sizers,e,o),z.insert(this._handles,e,n),this.parent.isAttached&&Te.sendMessage(t,he.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.node.appendChild(n),this.parent.isAttached&&Te.sendMessage(t,he.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){z.move(this._items,e,t),z.move(this._sizers,e,t),z.move(this._handles,e,t),this.parent.fit()}detachWidget(e,t){let r=z.removeAt(this._items,e),n=z.removeAt(this._handles,e);z.removeAt(this._sizers,e),this.parent.isAttached&&Te.sendMessage(t,he.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.node.removeChild(n),this.parent.isAttached&&Te.sendMessage(t,he.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}updateItemPosition(e,t,r,n,s,o,a){let l=this._items[e];if(l.isHidden)return;let c=this._handles[e].style;t?(r+=this.widgetOffset,l.update(r,n,a,s),r+=a,c.top=`${n}px`,c.left=`${r}px`,c.width=`${this._spacing}px`,c.height=`${s}px`):(n+=this.widgetOffset,l.update(r,n,o,a),n+=a,c.top=`${n}px`,c.left=`${r}px`,c.width=`${o}px`,c.height=`${this._spacing}px`)}_fit(){let e=0,t=-1;for(let l=0,c=this._items.length;l0&&(d.sizeHint=d.size),u.isHidden){d.minSize=0,d.maxSize=0;continue}u.fit(),d.stretch=Mo.getStretch(u.widget),r?(d.minSize=u.minWidth,d.maxSize=u.maxWidth,n+=u.minWidth,s=Math.max(s,u.minHeight)):(d.minSize=u.minHeight,d.maxSize=u.maxHeight,s+=u.minHeight,n=Math.max(n,u.minWidth))}let o=this._box=Ce.boxSizing(this.parent.node);n+=o.horizontalSum,s+=o.verticalSum;let a=this.parent.node.style;a.minWidth=`${n}px`,a.minHeight=`${s}px`,this._dirty=!0,this.parent.parent&&Te.sendMessage(this.parent.parent,he.Msg.FitRequest),this._dirty&&Te.sendMessage(this.parent,he.Msg.UpdateRequest)}_update(e,t){this._dirty=!1;let r=0;for(let d=0,f=this._items.length;d0){let d;if(u?d=Math.max(0,o-this._fixed):d=Math.max(0,a-this._fixed),this._hasNormedSizes){for(let h of this._sizers)h.sizeHint*=d;this._hasNormedSizes=!1}let f=os.calc(this._sizers,d);if(f>0)switch(this._alignment){case"start":break;case"center":l=0,c=f/2;break;case"end":l=0,c=f;break;case"justify":l=f/r,c=0;break;default:throw"unreachable"}}for(let d=0,f=this._items.length;d0,coerce:(o,a)=>Math.max(0,Math.floor(a)),changed:s});function e(o){let a=new fa;return a.sizeHint=Math.floor(o),a}i.createSizer=e;function t(o){let a=o.createHandle();return a.style.position="absolute",a.style.contain="style",a}i.createHandle=t;function r(o){return o.reduce((a,l)=>a+l.size,0)/o.length||0}i.averageSize=r;function n(o){let a=o.length;if(a===0)return[];let l=o.reduce((c,u)=>c+Math.abs(u),0);return l===0?o.map(c=>1/a):o.map(c=>c/l)}i.normalize=n;function s(o){o.parent&&o.parent.layout instanceof Mo&&o.parent.fit()}})(ml||(ml={}));YE=class extends Mo{constructor(e){super({...e,orientation:e.orientation||"vertical"}),this._titles=[],this.titleSpace=e.titleSpace||22}get titleSpace(){return this.widgetOffset}set titleSpace(e){e=Dg.clampDimension(e),this.widgetOffset!==e&&(this.widgetOffset=e,this.parent&&this.parent.fit())}get titles(){return this._titles}dispose(){this.isDisposed||(this._titles.length=0,super.dispose())}updateTitle(e,t){let r=this._titles[e],n=r.classList.contains("lm-mod-expanded"),s=lx.createTitle(this.renderer,t.title,n);this._titles[e]=s,this.parent.node.replaceChild(s,r)}insertWidget(e,t){t.id||(t.id=`id-${gl.UUID.uuid4()}`),super.insertWidget(e,t)}attachWidget(e,t){let r=lx.createTitle(this.renderer,t.title);z.insert(this._titles,e,r),this.parent.node.appendChild(r),t.node.setAttribute("role","region"),t.node.setAttribute("aria-labelledby",r.id),super.attachWidget(e,t)}moveWidget(e,t,r){z.move(this._titles,e,t),super.moveWidget(e,t,r)}detachWidget(e,t){let r=z.removeAt(this._titles,e);this.parent.node.removeChild(r),super.detachWidget(e,t)}updateItemPosition(e,t,r,n,s,o,a){let l=this._titles[e].style;l.top=`${n}px`,l.left=`${r}px`,l.height=`${this.widgetOffset}px`,t?l.width=`${s}px`:l.width=`${o}px`,super.updateItemPosition(e,t,r,n,s,o,a)}};(function(i){function e(t,r,n=!0){let s=t.createSectionTitle(r);return s.style.position="absolute",s.style.contain="strict",s.setAttribute("aria-label",`${r.label} Section`),s.setAttribute("aria-expanded",n?"true":"false"),s.setAttribute("aria-controls",r.owner.id),n&&s.classList.add("lm-mod-expanded"),s}i.createTitle=e})(lx||(lx={}));cx=class extends he{constructor(e={}){super(),this.addClass("lm-Panel"),this.layout=JE.createLayout(e)}get widgets(){return this.layout.widgets}addWidget(e){this.layout.addWidget(e)}insertWidget(e,t){this.layout.insertWidget(e,t)}};(function(i){function e(t){return t.layout||new am}i.createLayout=e})(JE||(JE={}));nu=class extends cx{constructor(e={}){super({layout:ZE.createLayout(e)}),this._handleMoved=new Me(this),this._pressData=null,this.addClass("lm-SplitPanel")}dispose(){this._releaseMouse(),super.dispose()}get orientation(){return this.layout.orientation}set orientation(e){this.layout.orientation=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get renderer(){return this.layout.renderer}get handleMoved(){return this._handleMoved}get handles(){return this.layout.handles}relativeSizes(){return this.layout.relativeSizes()}setRelativeSizes(e,t=!0){this.layout.setRelativeSizes(e,t)}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){e.child.addClass("lm-SplitPanel-child"),this._releaseMouse()}onChildRemoved(e){e.child.removeClass("lm-SplitPanel-child"),this._releaseMouse()}_evtKeyDown(e){this._pressData&&(e.preventDefault(),e.stopPropagation()),e.keyCode===27&&this._releaseMouse()}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=z.findFirstIndex(t.handles,c=>c.contains(e.target));if(r===-1)return;e.preventDefault(),e.stopPropagation(),document.addEventListener("pointerup",this,!0),document.addEventListener("pointermove",this,!0),document.addEventListener("keydown",this,!0),document.addEventListener("contextmenu",this,!0);let n,s=t.handles[r],o=s.getBoundingClientRect();t.orientation==="horizontal"?n=e.clientX-o.left:n=e.clientY-o.top;let a=window.getComputedStyle(s),l=lr.overrideCursor(a.cursor);this._pressData={index:r,delta:n,override:l}}_evtPointerMove(e){e.preventDefault(),e.stopPropagation();let t,r=this.layout,n=this.node.getBoundingClientRect();r.orientation==="horizontal"?t=e.clientX-n.left-this._pressData.delta:t=e.clientY-n.top-this._pressData.delta,r.moveHandle(this._pressData.index,t)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse())}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._handleMoved.emit(),document.removeEventListener("keydown",this,!0),document.removeEventListener("pointerup",this,!0),document.removeEventListener("pointermove",this,!0),document.removeEventListener("contextmenu",this,!0))}};(function(i){class e{createHandle(){let s=document.createElement("div");return s.className="lm-SplitPanel-handle",s}}i.Renderer=e,i.defaultRenderer=new e;function t(n){return Mo.getStretch(n)}i.getStretch=t;function r(n,s){Mo.setStretch(n,s)}i.setStretch=r})(nu||(nu={}));(function(i){function e(t){return t.layout||new Mo({renderer:t.renderer||nu.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing})}i.createLayout=e})(ZE||(ZE={}));Og=class extends nu{constructor(e={}){super({...e,layout:QE.createLayout(e)}),this._widgetSizesCache=new WeakMap,this._expansionToggled=new Me(this),this.addClass("lm-AccordionPanel")}get renderer(){return this.layout.renderer}get titleSpace(){return this.layout.titleSpace}set titleSpace(e){this.layout.titleSpace=e}get titles(){return this.layout.titles}get expansionToggled(){return this._expansionToggled}addWidget(e){super.addWidget(e),e.title.changed.connect(this._onTitleChanged,this)}collapse(e){let t=this.layout.widgets[e];t&&!t.isHidden&&this._toggleExpansion(e)}expand(e){let t=this.layout.widgets[e];t&&t.isHidden&&this._toggleExpansion(e)}insertWidget(e,t){super.insertWidget(e,t),t.title.changed.connect(this._onTitleChanged,this)}handleEvent(e){switch(super.handleEvent(e),e.type){case"click":this._evtClick(e);break;case"keydown":this._eventKeyDown(e);break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),super.onBeforeAttach(e)}onAfterDetach(e){super.onAfterDetach(e),this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this)}_onTitleChanged(e){let t=z.findFirstIndex(this.widgets,r=>r.contains(e.owner));t>=0&&(this.layout.updateTitle(t,e.owner),this.update())}_computeWidgetSize(e){let t=this.layout,r=t.widgets[e];if(!r)return;let n=r.isHidden,s=t.absoluteSizes(),o=(n?-1:1)*this.spacing,a=s.reduce((c,u)=>c+u),l=[...s];if(n){let c=this._widgetSizesCache.get(r);if(!c)return;l[e]+=c;let u=l.map(d=>d-c>0).lastIndexOf(!0);u===-1?l.forEach((d,f)=>{f!==e&&(l[f]-=s[f]/a*(c-o))}):l[u]-=c-o}else{let c=s[e];this._widgetSizesCache.set(r,c),l[e]=0;let u=l.map(d=>d>0).lastIndexOf(!0);if(u===-1)return;l[u]=s[u]+c+o}return l.map(c=>c/(a+o))}_evtClick(e){let t=e.target;if(t){let r=z.findFirstIndex(this.titles,n=>n.contains(t));r>=0&&(e.preventDefault(),e.stopPropagation(),this._toggleExpansion(r))}}_eventKeyDown(e){if(e.defaultPrevented)return;let t=e.target,r=!1;if(t){let n=z.findFirstIndex(this.titles,s=>s.contains(t));if(n>=0){let s=e.keyCode.toString();if(e.key.match(/Space|Enter/)||s.match(/13|32/))t.click(),r=!0;else if(this.orientation==="horizontal"?e.key.match(/ArrowLeft|ArrowRight/)||s.match(/37|39/):e.key.match(/ArrowUp|ArrowDown/)||s.match(/38|40/)){let o=e.key.match(/ArrowLeft|ArrowUp/)||s.match(/37|38/)?-1:1,a=this.titles.length,l=(n+a+o)%a;this.titles[l].focus(),r=!0}else e.key==="End"||s==="35"?(this.titles[this.titles.length-1].focus(),r=!0):(e.key==="Home"||s==="36")&&(this.titles[0].focus(),r=!0)}r&&e.preventDefault()}}_toggleExpansion(e){let t=this.titles[e],r=this.layout.widgets[e],n=this._computeWidgetSize(e);n&&this.setRelativeSizes(n,!1),r.isHidden?(t.classList.add("lm-mod-expanded"),t.setAttribute("aria-expanded","true"),r.show()):(t.classList.remove("lm-mod-expanded"),t.setAttribute("aria-expanded","false"),r.hide()),this._expansionToggled.emit(e)}};(function(i){class e extends nu.Renderer{constructor(){super(),this.titleClassName="lm-AccordionPanel-title",this._titleID=0,this._titleKeys=new WeakMap,this._uuid=++e._nInstance}createCollapseIcon(r){return document.createElement("span")}createSectionTitle(r){let n=document.createElement("h3");n.setAttribute("tabindex","0"),n.id=this.createTitleKey(r),n.className=this.titleClassName;for(let a in r.dataset)n.dataset[a]=r.dataset[a];let s=n.appendChild(this.createCollapseIcon(r));s.className="lm-AccordionPanel-titleCollapser";let o=n.appendChild(document.createElement("span"));return o.className="lm-AccordionPanel-titleLabel",o.textContent=r.label,o.title=r.caption||r.label,n}createTitleKey(r){let n=this._titleKeys.get(r);return n===void 0&&(n=`title-key-${this._uuid}-${this._titleID++}`,this._titleKeys.set(r,n)),n}}e._nInstance=0,i.Renderer=e,i.defaultRenderer=new e})(Og||(Og={}));(function(i){function e(t){return t.layout||new YE({renderer:t.renderer||Og.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing,titleSpace:t.titleSpace})}i.createLayout=e})(QE||(QE={}));as=class extends am{constructor(e={}){super(),this._fixed=0,this._spacing=4,this._dirty=!1,this._sizers=[],this._items=[],this._box=null,this._alignment="start",this._direction="top-to-bottom",e.direction!==void 0&&(this._direction=e.direction),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=Dg.clampDimension(e.spacing))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,super.dispose()}get direction(){return this._direction}set direction(e){this._direction!==e&&(this._direction=e,this.parent&&(this.parent.dataset.direction=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=Dg.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}init(){this.parent.dataset.direction=this.direction,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){z.insert(this._items,e,new ru(t)),z.insert(this._sizers,e,new fa),this.parent.isAttached&&Te.sendMessage(t,he.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.isAttached&&Te.sendMessage(t,he.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){z.move(this._items,e,t),z.move(this._sizers,e,t),this.parent.update()}detachWidget(e,t){let r=z.removeAt(this._items,e);z.removeAt(this._sizers,e),this.parent.isAttached&&Te.sendMessage(t,he.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&Te.sendMessage(t,he.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){let e=0;for(let a=0,l=this._items.length;a0)switch(this._alignment){case"start":break;case"center":c=0,u=l/2;break;case"end":c=0,u=l;break;case"justify":c=l/r,u=0;break;default:throw"unreachable"}for(let d=0,f=this._items.length;d0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r}),i.sizeBasisProperty=new ht({name:"sizeBasis",create:()=>0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r});function e(n){return n==="left-to-right"||n==="right-to-left"}i.isHorizontal=e;function t(n){return Math.max(0,Math.floor(n))}i.clampSpacing=t;function r(n){n.parent&&n.parent.layout instanceof as&&n.parent.fit()}})(iu||(iu={}));dx=class extends cx{constructor(e={}){super({layout:eI.createLayout(e)}),this.addClass("lm-BoxPanel")}get direction(){return this.layout.direction}set direction(e){this.layout.direction=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}onChildAdded(e){e.child.addClass("lm-BoxPanel-child")}onChildRemoved(e){e.child.removeClass("lm-BoxPanel-child")}};(function(i){function e(s){return as.getStretch(s)}i.getStretch=e;function t(s,o){as.setStretch(s,o)}i.setStretch=t;function r(s){return as.getSizeBasis(s)}i.getSizeBasis=r;function n(s,o){as.setSizeBasis(s,o)}i.setSizeBasis=n})(dx||(dx={}));(function(i){function e(t){return t.layout||new as(t)}i.createLayout=e})(eI||(eI={}));lm=class extends he{constructor(e){super({node:fl.createNode()}),this._activeIndex=-1,this._items=[],this._results=null,this.addClass("lm-CommandPalette"),this.setFlag(he.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||lm.defaultRenderer,this.commands.commandChanged.connect(this._onGenericChange,this),this.commands.keyBindingChanged.connect(this._onGenericChange,this)}dispose(){this._items.length=0,this._results=null,super.dispose()}get searchNode(){return this.node.getElementsByClassName("lm-CommandPalette-search")[0]}get inputNode(){return this.node.getElementsByClassName("lm-CommandPalette-input")[0]}get contentNode(){return this.node.getElementsByClassName("lm-CommandPalette-content")[0]}get items(){return this._items}addItem(e){let t=fl.createItem(this.commands,e);return this._items.push(t),this.refresh(),t}addItems(e){let t=e.map(r=>fl.createItem(this.commands,r));return t.forEach(r=>this._items.push(r)),this.refresh(),t}removeItem(e){this.removeItemAt(this._items.indexOf(e))}removeItemAt(e){z.removeAt(this._items,e)&&this.refresh()}clearItems(){this._items.length!==0&&(this._items.length=0,this.refresh())}refresh(){if(this._results=null,this.inputNode.value!==""){let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="inherit"}else{let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="none"}this.update()}handleEvent(e){switch(e.type){case"click":this._evtClick(e);break;case"keydown":this._evtKeyDown(e);break;case"input":this.refresh();break;case"focus":case"blur":this._toggleFocused();break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),this.node.addEventListener("input",this),this.node.addEventListener("focus",this,!0),this.node.addEventListener("blur",this,!0)}onAfterDetach(e){this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this),this.node.removeEventListener("input",this),this.node.removeEventListener("focus",this,!0),this.node.removeEventListener("blur",this,!0)}onAfterShow(e){this.update(),super.onAfterShow(e)}onActivateRequest(e){if(this.isAttached){let t=this.inputNode;t.focus(),t.select()}}onUpdateRequest(e){if(!this.isVisible){Ht.render(null,this.contentNode);return}let t=this.inputNode.value,r=this.contentNode,n=this._results;if(n||(n=this._results=fl.search(this._items,t),this._activeIndex=t?z.findFirstIndex(n,fl.canActivate):-1),!t&&n.length===0){Ht.render(null,r);return}if(t&&n.length===0){let l=this.renderer.renderEmptyMessage({query:t});Ht.render(l,r);return}let s=this.renderer,o=this._activeIndex,a=new Array(n.length);for(let l=0,c=n.length;l=n.length)r.scrollTop=0;else{let l=r.children[o];Ce.scrollIntoViewIfNeeded(r,l)}}_evtClick(e){if(e.button!==0)return;if(e.target.classList.contains("lm-close-icon")){this.inputNode.value="",this.refresh();return}let t=z.findFirstIndex(this.contentNode.children,r=>r.contains(e.target));t!==-1&&(e.preventDefault(),e.stopPropagation(),this._execute(t))}_evtKeyDown(e){if(!(e.altKey||e.ctrlKey||e.metaKey||e.shiftKey))switch(e.keyCode){case 13:e.preventDefault(),e.stopPropagation(),this._execute(this._activeIndex);break;case 38:e.preventDefault(),e.stopPropagation(),this._activatePreviousItem();break;case 40:e.preventDefault(),e.stopPropagation(),this._activateNextItem();break}}_activateNextItem(){if(!this._results||this._results.length===0)return;let e=this._activeIndex,t=this._results.length,r=eM-N),b=y.slice(0,C),k=y.slice(C);for(let M=0,N=k.length;Mp.command===h&&gl.JSONExt.deepEqual(p.args,m))||null}}})(fl||(fl={}));ma=class extends he{constructor(e){super({node:wn.createNode()}),this._childIndex=-1,this._activeIndex=-1,this._openTimerID=0,this._closeTimerID=0,this._items=[],this._childMenu=null,this._parentMenu=null,this._aboutToClose=new Me(this),this._menuRequested=new Me(this),this.addClass("lm-Menu"),this.setFlag(he.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||ma.defaultRenderer}dispose(){this.close(),this._items.length=0,super.dispose()}get aboutToClose(){return this._aboutToClose}get menuRequested(){return this._menuRequested}get parentMenu(){return this._parentMenu}get childMenu(){return this._childMenu}get rootMenu(){let e=this;for(;e._parentMenu;)e=e._parentMenu;return e}get leafMenu(){let e=this;for(;e._childMenu;)e=e._childMenu;return e}get contentNode(){return this.node.getElementsByClassName("lm-Menu-content")[0]}get activeItem(){return this._items[this._activeIndex]||null}set activeItem(e){this.activeIndex=e?this._items.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._items.length)&&(e=-1),e!==-1&&!wn.canActivate(this._items[e])&&(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this._activeIndex>=0&&this.contentNode.childNodes[this._activeIndex]&&this.contentNode.childNodes[this._activeIndex].focus(),this.update())}get items(){return this._items}activateNextItem(){let e=this._items.length,t=this._activeIndex,r=t{this.activeIndex=a}})}Ht.render(o,this.contentNode)}onCloseRequest(e){this._cancelOpenTimer(),this._cancelCloseTimer(),this.activeIndex=-1;let t=this._childMenu;t&&(this._childIndex=-1,this._childMenu=null,t._parentMenu=null,t.close());let r=this._parentMenu;r&&(this._parentMenu=null,r._childIndex=-1,r._childMenu=null,r.activate()),this.isAttached&&this._aboutToClose.emit(void 0),super.onCloseRequest(e)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation();let t=e.keyCode;if(t===13){this.triggerActiveItem();return}if(t===27){this.close();return}if(t===37){this._parentMenu?this.close():this._menuRequested.emit("previous");return}if(t===38){this.activatePreviousItem();return}if(t===39){let o=this.activeItem;o&&o.type==="submenu"?this.triggerActiveItem():this.rootMenu._menuRequested.emit("next");return}if(t===40){this.activateNextItem();return}let r=Ns().keyForKeydownEvent(e);if(!r)return;let n=this._activeIndex+1,s=wn.findMnemonic(this._items,r,n);s.index!==-1&&!s.multiple?(this.activeIndex=s.index,this.triggerActiveItem()):s.index!==-1?this.activeIndex=s.index:s.auto!==-1&&(this.activeIndex=s.auto)}_evtMouseUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this.triggerActiveItem())}_evtMouseMove(e){let t=z.findFirstIndex(this.contentNode.children,n=>Ce.hitTest(n,e.clientX,e.clientY));if(t===this._activeIndex)return;if(this.activeIndex=t,t=this.activeIndex,t===this._childIndex){this._cancelOpenTimer(),this._cancelCloseTimer();return}this._childIndex!==-1&&this._startCloseTimer(),this._cancelOpenTimer();let r=this.activeItem;!r||r.type!=="submenu"||!r.submenu||this._startOpenTimer()}_evtMouseEnter(e){for(let t=this._parentMenu;t;t=t._parentMenu)t._cancelOpenTimer(),t._cancelCloseTimer(),t.activeIndex=t._childIndex}_evtMouseLeave(e){if(this._cancelOpenTimer(),!this._childMenu){this.activeIndex=-1;return}let{clientX:t,clientY:r}=e;if(Ce.hitTest(this._childMenu.node,t,r)){this._cancelCloseTimer();return}this.activeIndex=-1,this._startCloseTimer()}_evtMouseDown(e){this._parentMenu||(wn.hitTestMenus(this,e.clientX,e.clientY)?(e.preventDefault(),e.stopPropagation()):this.close())}_openChildMenu(e=!1){let t=this.activeItem;if(!t||t.type!=="submenu"||!t.submenu){this._closeChildMenu();return}let r=t.submenu;if(r===this._childMenu)return;ma.saveWindowData(),this._closeChildMenu(),this._childMenu=r,this._childIndex=this._activeIndex,r._parentMenu=this,Te.sendMessage(this,he.Msg.UpdateRequest);let n=this.contentNode.children[this._activeIndex];wn.openSubmenu(r,n),e&&(r.activeIndex=-1,r.activateNextItem()),r.activate()}_closeChildMenu(){this._childMenu&&this._childMenu.close()}_startOpenTimer(){this._openTimerID===0&&(this._openTimerID=window.setTimeout(()=>{this._openTimerID=0,this._openChildMenu()},wn.TIMER_DELAY))}_startCloseTimer(){this._closeTimerID===0&&(this._closeTimerID=window.setTimeout(()=>{this._closeTimerID=0,this._closeChildMenu()},wn.TIMER_DELAY))}_cancelOpenTimer(){this._openTimerID!==0&&(clearTimeout(this._openTimerID),this._openTimerID=0)}_cancelCloseTimer(){this._closeTimerID!==0&&(clearTimeout(this._closeTimerID),this._closeTimerID=0)}static 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n,{type:s,command:o,dataset:a}=r.item;return s==="command"?n={...a,type:s,command:o}:n={...a,type:s},n}createIconClass(r){let n="lm-Menu-itemIcon",s=r.item.iconClass;return s?`${n} ${s}`:n}createItemARIA(r){let n={};switch(r.item.type){case"separator":n.role="presentation";break;case"submenu":n["aria-haspopup"]="true",r.item.isEnabled||(n["aria-disabled"]="true");break;default:r.item.isEnabled||(n["aria-disabled"]="true"),r.item.isToggled?(n.role="menuitemcheckbox",n["aria-checked"]="true"):n.role="menuitem"}return n}formatLabel(r){let{label:n,mnemonic:s}=r.item;if(s<0||s>=n.length)return n;let o=n.slice(0,s),a=n.slice(s+1),l=n[s],c=ye.span({className:"lm-Menu-itemMnemonic"},l);return[o,c,a]}formatShortcut(r){let n=r.item.keyBinding;return n?Qr.formatKeystroke(n.keys):null}}i.Renderer=e,i.defaultRenderer=new e})(ma||(ma={}));(function(i){i.TIMER_DELAY=300,i.SUBMENU_OVERLAP=3;let e=null,t=0;function r(){return t>0?(t--,e):u()}function n(){e=u(),t++}i.saveWindowData=n;function s(){let p=document.createElement("div"),_=document.createElement("ul");return _.className="lm-Menu-content",p.appendChild(_),_.setAttribute("role","menu"),p.tabIndex=0,p}i.createNode=s;function o(p){return p.type!=="separator"&&p.isEnabled&&p.isVisible}i.canActivate=o;function a(p,_){return new m(p.commands,_)}i.createItem=a;function l(p,_,x){for(let y=p;y;y=y.childMenu)if(Ce.hitTest(y.node,_,x))return!0;return!1}i.hitTestMenus=l;function c(p){let _=new Array(p.length);z.fill(_,!1);let x=0,y=p.length;for(;x=0;--S){let C=p[S];if(C.isVisible){if(C.type!=="separator")break;_[S]=!0}}let I=!1;for(;++xM+P&&(_=M+P-Y),!S&&x+te>N+W&&(x>N+W?x=N+W-te:x=x-te),fe.transform=`translate(${Math.max(0,_)}px, ${Math.max(0,x)}px`,fe.opacity="1"}i.openRootMenu=d;function f(p,_){let x=r(),y=x.pageXOffset,S=x.pageYOffset,I=x.clientWidth,C=x.clientHeight;Te.sendMessage(p,he.Msg.UpdateRequest);let b=C,k=p.node,M=k.style;M.opacity="0",M.maxHeight=`${b}px`,he.attach(p,document.body);let{width:N,height:P}=k.getBoundingClientRect(),W=Ce.boxSizing(p.node),ee=_.getBoundingClientRect(),be=ee.right-i.SUBMENU_OVERLAP;be+N>y+I&&(be=ee.left+i.SUBMENU_OVERLAP-N);let fe=ee.top-W.borderTop-W.paddingTop;fe+P>S+C&&(fe=ee.bottom+W.borderBottom+W.paddingBottom-P),M.transform=`translate(${Math.max(0,be)}px, ${Math.max(0,fe)}px`,M.opacity="1"}i.openSubmenu=f;function h(p,_,x){let y=-1,S=-1,I=!1,C=_.toUpperCase();for(let b=0,k=p.length;b=0&&Wy.command===_&&gl.JSONExt.deepEqual(y.args,x))||null}return null}}})(wn||(wn={}));(function(i){function e(o,a){let l=r(o.selector),c=o.rank!==void 0?o.rank:1/0;return{...o,selector:l,rank:c,id:a}}i.createItem=e;function t(o,a,l,c){let u=a.target;if(!u)return null;let d=a.currentTarget;if(!d||!d.contains(u)&&(u=document.elementFromPoint(a.clientX,a.clientY),!u||!d.contains(u)))return null;let f=[],h=o.slice();for(;u!==null;){let m=[];for(let 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orientation(e){this._orientation!==e&&(this._releaseMouse(),this._orientation=e,this.dataset.orientation=e,this.contentNode.setAttribute("aria-orientation",e))}get addButtonEnabled(){return this._addButtonEnabled}set addButtonEnabled(e){this._addButtonEnabled!==e&&(this._addButtonEnabled=e,e?this.addButtonNode.classList.remove("lm-mod-hidden"):this.addButtonNode.classList.add("lm-mod-hidden"))}get titles(){return this._titles}get contentNode(){return this.node.getElementsByClassName("lm-TabBar-content")[0]}get addButtonNode(){return this.node.getElementsByClassName("lm-TabBar-addButton")[0]}addTab(e){return this.insertTab(this._titles.length,e)}insertTab(e,t){this._releaseMouse();let r=Xs.asTitle(t),n=this._titles.indexOf(r),s=Math.max(0,Math.min(e,this._titles.length));return n===-1?(z.insert(this._titles,s,r),r.changed.connect(this._onTitleChanged,this),this.update(),this._adjustCurrentForInsert(s,r),r):(s===this._titles.length&&s--,n===s||(z.move(this._titles,n,s),this.update(),this._adjustCurrentForMove(n,s)),r)}removeTab(e){this.removeTabAt(this._titles.indexOf(e))}removeTabAt(e){this._releaseMouse();let t=z.removeAt(this._titles,e);t&&(t.changed.disconnect(this._onTitleChanged,this),t===this._previousTitle&&(this._previousTitle=null),this.update(),this._adjustCurrentForRemove(e,t))}clearTabs(){if(this._titles.length===0)return;this._releaseMouse();for(let r of this._titles)r.changed.disconnect(this._onTitleChanged,this);let e=this.currentIndex,t=this.currentTitle;this._currentIndex=-1,this._previousTitle=null,this._titles.length=0,this.update(),e!==-1&&this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}releaseMouse(){this._releaseMouse()}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"dblclick":this._evtDblClick(e);break;case"keydown":e.eventPhase===Event.CAPTURING_PHASE?this._evtKeyDownCapturing(e):this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this),this.node.addEventListener("dblclick",this),this.node.addEventListener("keydown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this.node.removeEventListener("dblclick",this),this.node.removeEventListener("keydown",this),this._releaseMouse()}onUpdateRequest(e){var 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c=()=>{l.removeEventListener("blur",c),s.innerHTML=a,this.node.addEventListener("keydown",this)};l.addEventListener("dblclick",u=>u.stopPropagation()),l.addEventListener("blur",c),l.addEventListener("keydown",u=>{u.key==="Enter"?(l.value!==""&&(n.label=n.caption=l.value),c()):u.key==="Escape"&&c()}),this.node.removeEventListener("keydown",this),l.select(),l.focus(),s.children.length>0&&s.children[0].focus()}}_evtKeyDownCapturing(e){e.eventPhase===Event.CAPTURING_PHASE&&(e.preventDefault(),e.stopPropagation(),e.key==="Escape"&&this._releaseMouse())}_evtKeyDown(e){var t,r,n;if(!(e.key==="Tab"||e.eventPhase===Event.CAPTURING_PHASE)){if(e.key==="Enter"||e.key==="Spacebar"||e.key===" "){let s=document.activeElement;if(this.addButtonEnabled&&this.addButtonNode.contains(s))e.preventDefault(),e.stopPropagation(),this._addRequested.emit();else{let o=z.findFirstIndex(this.contentNode.children,a=>a.contains(s));o>=0&&(e.preventDefault(),e.stopPropagation(),this.currentIndex=o)}}else 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t=this.addButtonEnabled&&this.addButtonNode.contains(e.target),r=this.contentNode.children,n=z.findFirstIndex(r,o=>Ce.hitTest(o,e.clientX,e.clientY));if(n===-1&&!t||(e.preventDefault(),e.stopPropagation(),this._dragData={tab:r[n],index:n,pressX:e.clientX,pressY:e.clientY,tabPos:-1,tabSize:-1,tabPressPos:-1,targetIndex:-1,tabLayout:null,contentRect:null,override:null,dragActive:!1,dragAborted:!1,detachRequested:!1},this.document.addEventListener("pointerup",this,!0),e.button===1||t))return;let s=r[n].querySelector(this.renderer.closeIconSelector);s&&s.contains(e.target)||(this.tabsMovable&&(this.document.addEventListener("pointermove",this,!0),this.document.addEventListener("keydown",this,!0),this.document.addEventListener("contextmenu",this,!0)),this.allowDeselect&&this.currentIndex===n?this.currentIndex=-1:this.currentIndex=n,this.currentIndex!==-1&&this._tabActivateRequested.emit({index:this.currentIndex,title:this.currentTitle}))}_evtPointerMove(e){let t=this._dragData;if(!t)return;e.preventDefault(),e.stopPropagation();let r=this.contentNode.children;if(!(!t.dragActive&&!Xs.dragExceeded(t,e))){if(!t.dragActive){let n=t.tab.getBoundingClientRect();this._orientation==="horizontal"?(t.tabPos=t.tab.offsetLeft,t.tabSize=n.width,t.tabPressPos=t.pressX-n.left):(t.tabPos=t.tab.offsetTop,t.tabSize=n.height,t.tabPressPos=t.pressY-n.top),t.tabPressOffset={x:t.pressX-n.left,y:t.pressY-n.top},t.tabLayout=Xs.snapTabLayout(r,this._orientation),t.contentRect=this.contentNode.getBoundingClientRect(),t.override=lr.overrideCursor("default"),t.tab.classList.add("lm-mod-dragging"),this.addClass("lm-mod-dragging"),t.dragActive=!0}if(!t.detachRequested&&Xs.detachExceeded(t,e)){t.detachRequested=!0;let n=t.index,s=e.clientX,o=e.clientY,a=r[n],l=this._titles[n];if(this._tabDetachRequested.emit({index:n,title:l,tab:a,clientX:s,clientY:o,offset:t.tabPressOffset}),t.dragAborted)return}Xs.layoutTabs(r,t,e,this._orientation)}}_evtPointerUp(e){if(e.button!==0&&e.button!==1)return;let t=this._dragData;if(!t)return;if(e.preventDefault(),e.stopPropagation(),this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),!t.dragActive){if(this._dragData=null,this.addButtonEnabled&&this.addButtonNode.contains(e.target)){this._addRequested.emit(void 0);return}let s=this.contentNode.children,o=z.findFirstIndex(s,c=>Ce.hitTest(c,e.clientX,e.clientY));if(o!==t.index)return;let a=this._titles[o];if(!a.closable)return;if(e.button===1){this._tabCloseRequested.emit({index:o,title:a});return}let l=s[o].querySelector(this.renderer.closeIconSelector);if(l&&l.contains(e.target)){this._tabCloseRequested.emit({index:o,title:a});return}return}if(e.button!==0)return;Xs.finalizeTabPosition(t,this._orientation),t.tab.classList.remove("lm-mod-dragging");let r=Xs.parseTransitionDuration(t.tab);setTimeout(()=>{if(t.dragAborted)return;this._dragData=null,Xs.resetTabPositions(this.contentNode.children,this._orientation),t.override.dispose(),this.removeClass("lm-mod-dragging");let n=t.index,s=t.targetIndex;s===-1||n===s||(z.move(this._titles,n,s),this._adjustCurrentForMove(n,s),this._tabMoved.emit({fromIndex:n,toIndex:s,title:this._titles[s]}),Te.sendMessage(this,he.Msg.UpdateRequest))},r)}_releaseMouse(){let e=this._dragData;e&&(this._dragData=null,this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),e.dragAborted=!0,e.dragActive&&(Xs.resetTabPositions(this.contentNode.children,this._orientation),e.override.dispose(),e.tab.classList.remove("lm-mod-dragging"),this.removeClass("lm-mod-dragging")))}_adjustCurrentForInsert(e,t){let r=this.currentTitle,n=this._currentIndex,s=this.insertBehavior;if(s==="select-tab"||s==="select-tab-if-needed"&&n===-1){this._currentIndex=e,this._previousTitle=r,this._currentChanged.emit({previousIndex:n,previousTitle:r,currentIndex:e,currentTitle:t});return}n>=e&&this._currentIndex++}_adjustCurrentForMove(e,t){this._currentIndex===e?this._currentIndex=t:this._currentIndex=t?this._currentIndex++:this._currentIndex>e&&this._currentIndex<=t&&this._currentIndex--}_adjustCurrentForRemove(e,t){let r=this._currentIndex,n=this.removeBehavior;if(r!==e){r>e&&this._currentIndex--;return}if(this._titles.length===0){this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null});return}if(n==="select-tab-after"){this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-tab-before"){this._currentIndex=Math.max(0,e-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-previous-tab"){this._previousTitle?(this._currentIndex=this._titles.indexOf(this._previousTitle),this._previousTitle=null):this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}_onTitleChanged(e){this.update()}};(function(i){class e{constructor(){this.closeIconSelector=".lm-TabBar-tabCloseIcon",this._tabID=0,this._tabKeys=new WeakMap,this._uuid=++e._nInstance}renderTab(r){let n=r.title.caption,s=this.createTabKey(r),o=s,a=this.createTabStyle(r),l=this.createTabClass(r),c=this.createTabDataset(r),u=this.createTabARIA(r);return r.title.closable?ye.li({id:o,key:s,className:l,title:n,style:a,dataset:c,...u},this.renderIcon(r),this.renderLabel(r),this.renderCloseIcon(r)):ye.li({id:o,key:s,className:l,title:n,style:a,dataset:c,...u},this.renderIcon(r),this.renderLabel(r))}renderIcon(r){let{title:n}=r,s=this.createIconClass(r);return ye.div({className:s},n.icon,n.iconLabel)}renderLabel(r){return ye.div({className:"lm-TabBar-tabLabel"},r.title.label)}renderCloseIcon(r){return ye.div({className:"lm-TabBar-tabCloseIcon"})}createTabKey(r){let n=this._tabKeys.get(r.title);return n===void 0&&(n=`tab-key-${this._uuid}-${this._tabID++}`,this._tabKeys.set(r.title,n)),n}createTabStyle(r){return{zIndex:`${r.zIndex}`}}createTabClass(r){let n="lm-TabBar-tab";return r.title.className&&(n+=` ${r.title.className}`),r.title.closable&&(n+=" lm-mod-closable"),r.current&&(n+=" lm-mod-current"),n}createTabDataset(r){return r.title.dataset}createTabARIA(r){var n;return{role:"tab","aria-selected":r.current.toString(),tabindex:`${(n=r.tabIndex)!==null&&n!==void 0?n:"-1"}`}}createIconClass(r){let n="lm-TabBar-tabIcon",s=r.title.iconClass;return s?`${n} ${s}`:n}}e._nInstance=0,i.Renderer=e,i.defaultRenderer=new e,i.addButtonSelector=".lm-TabBar-addButton"})(Lc||(Lc={}));(function(i){i.DRAG_THRESHOLD=5,i.DETACH_THRESHOLD=20;function e(){let u=document.createElement("div"),d=document.createElement("ul");d.setAttribute("role","tablist"),d.className="lm-TabBar-content",u.appendChild(d);let f=document.createElement("div");return f.className="lm-TabBar-addButton lm-mod-hidden",f.setAttribute("tabindex","-1"),f.setAttribute("role","button"),u.appendChild(f),u}i.createNode=e;function t(u){return u instanceof Lg?u:new Lg(u)}i.asTitle=t;function r(u){let d=window.getComputedStyle(u);return 1e3*(parseFloat(d.transitionDuration)||0)}i.parseTransitionDuration=r;function n(u,d){let f=new Array(u.length);for(let h=0,m=u.length;h=i.DRAG_THRESHOLD||h>=i.DRAG_THRESHOLD}i.dragExceeded=s;function o(u,d){let f=u.contentRect;return d.clientX=f.right+i.DETACH_THRESHOLD||d.clientY=f.bottom+i.DETACH_THRESHOLD}i.detachExceeded=o;function a(u,d,f,h){let m,p,_,x;h==="horizontal"?(m=d.pressX,p=f.clientX-d.contentRect.left,_=f.clientX,x=d.contentRect.width):(m=d.pressY,p=f.clientY-d.contentRect.top,_=f.clientY,x=d.contentRect.height);let y=d.index,S=p-d.tabPressPos,I=S+d.tabSize;for(let C=0,b=u.length;C>1);if(Cd.index&&I>N)k=`${-d.tabSize-M.margin}px`,y=Math.max(y,C);else if(C===d.index){let P=_-m,W=x-(d.tabPos+d.tabSize);k=`${Math.max(-d.tabPos,Math.min(P,W))}px`}else k="";h==="horizontal"?u[C].style.left=k:u[C].style.top=k}d.targetIndex=y}i.layoutTabs=a;function l(u,d){let f;d==="horizontal"?f=u.contentRect.width:f=u.contentRect.height;let h;if(u.targetIndex===u.index)h=0;else if(u.targetIndex>u.index){let _=u.tabLayout[u.targetIndex];h=_.pos+_.size-u.tabSize-u.tabPos}else h=u.tabLayout[u.targetIndex].pos-u.tabPos;let m=f-(u.tabPos+u.tabSize),p=Math.max(-u.tabPos,Math.min(h,m));d==="horizontal"?u.tab.style.left=`${p}px`:u.tab.style.top=`${p}px`}i.finalizeTabPosition=l;function c(u,d){for(let f of u)d==="horizontal"?f.style.left="":f.style.top=""}i.resetTabPositions=c})(Xs||(Xs={}));tI=class extends pa{constructor(e){super(),this._spacing=4,this._dirty=!1,this._root=null,this._box=null,this._items=new Map,this.renderer=e.renderer,e.spacing!==void 0&&(this._spacing=Dg.clampDimension(e.spacing)),this._document=e.document||document,this._hiddenMode=e.hiddenMode!==void 0?e.hiddenMode:he.HiddenMode.Display}dispose(){let e=this[Symbol.iterator]();this._items.forEach(t=>{t.dispose()}),this._box=null,this._root=null,this._items.clear();for(let t of e)t.dispose();super.dispose()}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){if(this._hiddenMode!==e){this._hiddenMode=e;for(let t of this.tabBars())if(t.titles.length>1)for(let r of t.titles)r.owner.hiddenMode=this._hiddenMode}}get spacing(){return this._spacing}set spacing(e){e=Dg.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get isEmpty(){return this._root===null}[Symbol.iterator](){return this._root?this._root.iterAllWidgets():Si()}widgets(){return this._root?this._root.iterUserWidgets():Si()}selectedWidgets(){return this._root?this._root.iterSelectedWidgets():Si()}tabBars(){return this._root?this._root.iterTabBars():Si()}handles(){return this._root?this._root.iterHandles():Si()}moveHandle(e,t,r){let n=e.classList.contains("lm-mod-hidden");if(!this._root||n)return;let s=this._root.findSplitNode(e);if(!s)return;let o;s.node.orientation==="horizontal"?o=t-e.offsetLeft:o=r-e.offsetTop,o!==0&&(s.node.holdSizes(),os.adjust(s.node.sizers,s.index,o),this.parent&&this.parent.update())}saveLayout(){return this._root?(this._root.holdAllSizes(),{main:this._root.createConfig()}):{main:null}}restoreLayout(e){let t=new Set,r;e.main?r=Ki.normalizeAreaConfig(e.main,t):r=null;let n=this.widgets(),s=this.tabBars(),o=this.handles();this._root=null;for(let a of n)t.has(a)||(a.parent=null);for(let a of s)a.dispose();for(let a of o)a.parentNode&&a.parentNode.removeChild(a);for(let a of t)a.parent=this.parent;r?this._root=Ki.realizeAreaConfig(r,{createTabBar:a=>this._createTabBar(),createHandle:()=>this._createHandle()},this._document):this._root=null,this.parent&&(t.forEach(a=>{this.attachWidget(a)}),this.parent.fit())}addWidget(e,t={}){let r=t.ref||null,n=t.mode||"tab-after",s=null;if(this._root&&r&&(s=this._root.findTabNode(r)),r&&!s)throw new Error("Reference widget is not in the layout.");switch(e.parent=this.parent,n){case"tab-after":this._insertTab(e,r,s,!0);break;case"tab-before":this._insertTab(e,r,s,!1);break;case"split-top":this._insertSplit(e,r,s,"vertical",!1);break;case"split-left":this._insertSplit(e,r,s,"horizontal",!1);break;case"split-right":this._insertSplit(e,r,s,"horizontal",!0);break;case"split-bottom":this._insertSplit(e,r,s,"vertical",!0);break;case"merge-top":this._insertSplit(e,r,s,"vertical",!1,!0);break;case"merge-left":this._insertSplit(e,r,s,"horizontal",!1,!0);break;case"merge-right":this._insertSplit(e,r,s,"horizontal",!0,!0);break;case"merge-bottom":this._insertSplit(e,r,s,"vertical",!0,!0);break}this.parent&&(this.attachWidget(e),this.parent.fit())}removeWidget(e){this._removeWidget(e),this.parent&&(this.detachWidget(e),this.parent.fit())}hitTestTabAreas(e,t){if(!this._root||!this.parent||!this.parent.isVisible)return null;this._box||(this._box=Ce.boxSizing(this.parent.node));let r=this.parent.node.getBoundingClientRect(),n=e-r.left-this._box.borderLeft,s=t-r.top-this._box.borderTop,o=this._root.hitTestTabNodes(n,s);if(!o)return null;let{tabBar:a,top:l,left:c,width:u,height:d}=o,f=this._box.borderLeft+this._box.borderRight,h=this._box.borderTop+this._box.borderBottom,m=r.width-f-(c+u),p=r.height-h-(l+d);return{tabBar:a,x:n,y:s,top:l,left:c,right:m,bottom:p,width:u,height:d}}init(){super.init();for(let e of this)this.attachWidget(e);for(let e of this.handles())this.parent.node.appendChild(e);this.parent.fit()}attachWidget(e){this.parent.node!==e.node.parentNode&&(this._items.set(e,new ru(e)),this.parent.isAttached&&Te.sendMessage(e,he.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&Te.sendMessage(e,he.Msg.AfterAttach))}detachWidget(e){if(this.parent.node!==e.node.parentNode)return;this.parent.isAttached&&Te.sendMessage(e,he.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&Te.sendMessage(e,he.Msg.AfterDetach);let t=this._items.get(e);t&&(this._items.delete(e),t.dispose())}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_removeWidget(e){if(!this._root)return;let t=this._root.findTabNode(e);if(!t)return;if(Ki.removeAria(e),t.tabBar.titles.length>1){if(t.tabBar.removeTab(e.title),this._hiddenMode===he.HiddenMode.Scale&&t.tabBar.titles.length==1){let f=t.tabBar.titles[0].owner;f.hiddenMode=he.HiddenMode.Display}return}if(t.tabBar.dispose(),this._root===t){this._root=null;return}this._root.holdAllSizes();let r=t.parent;t.parent=null;let n=z.removeFirstOf(r.children,t),s=z.removeAt(r.handles,n);if(z.removeAt(r.sizers,n),s.parentNode&&s.parentNode.removeChild(s),r.children.length>1){r.syncHandles();return}let o=r.parent;r.parent=null;let a=r.children[0],l=r.handles[0];if(r.children.length=0,r.handles.length=0,r.sizers.length=0,l.parentNode&&l.parentNode.removeChild(l),this._root===r){a.parent=null,this._root=a;return}let c=o,u=c.children.indexOf(r);if(a instanceof Ki.TabLayoutNode){a.parent=c,c.children[u]=a;return}let d=z.removeAt(c.handles,u);z.removeAt(c.children,u),z.removeAt(c.sizers,u),d.parentNode&&d.parentNode.removeChild(d);for(let f=0,h=a.children.length;f=this._left+this._width||m=this._top+this._height?null:this}createConfig(){let h=this.tabBar.titles.map(p=>p.owner),m=this.tabBar.currentIndex;return{type:"tab-area",widgets:h,currentIndex:m}}holdAllSizes(){}fit(h,m){let p=0,_=0,x=1/0,y=1/0,S=m.get(this.tabBar),I=this.tabBar.currentTitle,C=I?m.get(I.owner):void 0,[b,k]=this.sizers;return S&&S.fit(),C&&C.fit(),S&&!S.isHidden?(p=Math.max(p,S.minWidth),_+=S.minHeight,b.minSize=S.minHeight,b.maxSize=S.maxHeight):(b.minSize=0,b.maxSize=0),C&&!C.isHidden?(p=Math.max(p,C.minWidth),_+=C.minHeight,k.minSize=C.minHeight,k.maxSize=1/0):(k.minSize=0,k.maxSize=1/0),{minWidth:p,minHeight:_,maxWidth:x,maxHeight:y}}update(h,m,p,_,x,y){this._top=m,this._left=h,this._width=p,this._height=_;let S=y.get(this.tabBar),I=this.tabBar.currentTitle,C=I?y.get(I.owner):void 0;if(os.calc(this.sizers,_),S&&!S.isHidden){let b=this.sizers[0].size;S.update(h,m,p,b),m+=b}if(C&&!C.isHidden){let b=this.sizers[1].size;C.update(h,m,p,b)}}}i.TabLayoutNode=n;class s{constructor(h){this.parent=null,this.normalized=!1,this.children=[],this.sizers=[],this.handles=[],this.orientation=h}*iterAllWidgets(){for(let h of this.children)yield*h.iterAllWidgets()}*iterUserWidgets(){for(let h of this.children)yield*h.iterUserWidgets()}*iterSelectedWidgets(){for(let h of this.children)yield*h.iterSelectedWidgets()}*iterTabBars(){for(let h of this.children)yield*h.iterTabBars()}*iterHandles(){yield*this.handles;for(let h of this.children)yield*h.iterHandles()}findTabNode(h){for(let m=0,p=this.children.length;m_.createConfig());return{type:"split-area",orientation:h,children:p,sizes:m}}syncHandles(){this.handles.forEach((h,m)=>{h.setAttribute("data-orientation",this.orientation),m===this.handles.length-1?h.classList.add("lm-mod-hidden"):h.classList.remove("lm-mod-hidden")})}holdSizes(){for(let h of this.sizers)h.sizeHint=h.size}holdAllSizes(){for(let h of this.children)h.holdAllSizes();this.holdSizes()}normalizeSizes(){let h=this.sizers.length;if(h===0)return;this.holdSizes();let m=this.sizers.reduce((p,_)=>p+_.sizeHint,0);if(m===0)for(let p of this.sizers)p.size=p.sizeHint=1/h;else for(let p of this.sizers)p.size=p.sizeHint/=m;this.normalized=!0}createNormalizedSizes(){let h=this.sizers.length;if(h===0)return[];let m=this.sizers.map(_=>_.size),p=m.reduce((_,x)=>_+x,0);if(p===0)for(let _=m.length-1;_>-1;_--)m[_]=1/h;else for(let _=m.length-1;_>-1;_--)m[_]/=p;return m}fit(h,m){let p=this.orientation==="horizontal",_=Math.max(0,this.children.length-1)*h,x=p?_:0,y=p?0:_,S=1/0,I=1/0;for(let C=0,b=this.children.length;C=m.length)&&(p=0),{type:"tab-area",widgets:m,currentIndex:p}}function c(f,h){let m=f.orientation,p=[],_=[];for(let x=0,y=f.children.length;x{let y=r(_,h,m),S=e(f.sizes[x]),I=h.createHandle();p.children.push(y),p.handles.push(I),p.sizers.push(S),y.parent=p}),p.syncHandles(),p.normalizeSizes(),p}})(Ki||(Ki={}));su=class extends he{constructor(e={}){super(),this._drag=null,this._tabsMovable=!0,this._tabsConstrained=!1,this._addButtonEnabled=!1,this._pressData=null,this._layoutModified=new Me(this),this._addRequested=new Me(this),this.addClass("lm-DockPanel"),this._document=e.document||document,this._mode=e.mode||"multiple-document",this._renderer=e.renderer||su.defaultRenderer,this._edges=e.edges||ji.DEFAULT_EDGES,e.tabsMovable!==void 0&&(this._tabsMovable=e.tabsMovable),e.tabsConstrained!==void 0&&(this._tabsConstrained=e.tabsConstrained),e.addButtonEnabled!==void 0&&(this._addButtonEnabled=e.addButtonEnabled),this.dataset.mode=this._mode;let t={createTabBar:()=>this._createTabBar(),createHandle:()=>this._createHandle()};this.layout=new tI({document:this._document,renderer:t,spacing:e.spacing,hiddenMode:e.hiddenMode}),this.overlay=e.overlay||new su.Overlay,this.node.appendChild(this.overlay.node)}dispose(){this._releaseMouse(),this.overlay.hide(0),this._drag&&this._drag.dispose(),super.dispose()}get hiddenMode(){return this.layout.hiddenMode}set hiddenMode(e){this.layout.hiddenMode=e}get layoutModified(){return this._layoutModified}get addRequested(){return this._addRequested}get renderer(){return this.layout.renderer}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get mode(){return this._mode}set mode(e){if(this._mode===e)return;this._mode=e,this.dataset.mode=e;let t=this.layout;switch(e){case"multiple-document":for(let r of t.tabBars())r.show();break;case"single-document":t.restoreLayout(ji.createSingleDocumentConfig(this));break;default:throw"unreachable"}Te.postMessage(this,ji.LayoutModified)}get tabsMovable(){return this._tabsMovable}set tabsMovable(e){this._tabsMovable=e;for(let t of this.tabBars())t.tabsMovable=e}get tabsConstrained(){return this._tabsConstrained}set tabsConstrained(e){this._tabsConstrained=e}get addButtonEnabled(){return this._addButtonEnabled}set addButtonEnabled(e){this._addButtonEnabled=e;for(let t of this.tabBars())t.addButtonEnabled=e}get isEmpty(){return this.layout.isEmpty}*widgets(){yield*this.layout.widgets()}*selectedWidgets(){yield*this.layout.selectedWidgets()}*tabBars(){yield*this.layout.tabBars()}*handles(){yield*this.layout.handles()}selectWidget(e){let t=Ts(this.tabBars(),r=>r.titles.indexOf(e.title)!==-1);if(!t)throw new Error("Widget is not contained in the dock panel.");t.currentTitle=e.title}activateWidget(e){this.selectWidget(e),e.activate()}saveLayout(){return this.layout.saveLayout()}restoreLayout(e){this._mode="multiple-document",this.layout.restoreLayout(e),(Mi.IS_EDGE||Mi.IS_IE)&&Te.flush(),Te.postMessage(this,ji.LayoutModified)}addWidget(e,t={}){this._mode==="single-document"?this.layout.addWidget(e):this.layout.addWidget(e,t),Te.postMessage(this,ji.LayoutModified)}processMessage(e){e.type==="layout-modified"?this._layoutModified.emit(void 0):super.processMessage(e)}handleEvent(e){switch(e.type){case"lm-dragenter":this._evtDragEnter(e);break;case"lm-dragleave":this._evtDragLeave(e);break;case"lm-dragover":this._evtDragOver(e);break;case"lm-drop":this._evtDrop(e);break;case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("lm-dragenter",this),this.node.addEventListener("lm-dragleave",this),this.node.addEventListener("lm-dragover",this),this.node.addEventListener("lm-drop",this),this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("lm-dragenter",this),this.node.removeEventListener("lm-dragleave",this),this.node.removeEventListener("lm-dragover",this),this.node.removeEventListener("lm-drop",this),this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){ji.isGeneratedTabBarProperty.get(e.child)||e.child.addClass("lm-DockPanel-widget")}onChildRemoved(e){ji.isGeneratedTabBarProperty.get(e.child)||(e.child.removeClass("lm-DockPanel-widget"),Te.postMessage(this,ji.LayoutModified))}_evtDragEnter(e){e.mimeData.hasData("application/vnd.lumino.widget-factory")&&(e.preventDefault(),e.stopPropagation())}_evtDragLeave(e){e.preventDefault(),!(this._tabsConstrained&&e.source!==this)&&(e.stopPropagation(),this.overlay.hide(1))}_evtDragOver(e){e.preventDefault(),this._tabsConstrained&&e.source!==this||this._showOverlay(e.clientX,e.clientY)==="invalid"?e.dropAction="none":(e.stopPropagation(),e.dropAction=e.proposedAction)}_evtDrop(e){if(e.preventDefault(),this.overlay.hide(0),e.proposedAction==="none"){e.dropAction="none";return}let{clientX:t,clientY:r}=e,{zone:n,target:s}=ji.findDropTarget(this,t,r,this._edges);if(this._tabsConstrained&&e.source!==this||n==="invalid"){e.dropAction="none";return}let a=e.mimeData.getData("application/vnd.lumino.widget-factory");if(typeof a!="function"){e.dropAction="none";return}let l=a();if(!(l instanceof he)){e.dropAction="none";return}if(l.contains(this)){e.dropAction="none";return}let c=s?ji.getDropRef(s.tabBar):null;switch(n){case"root-all":this.addWidget(l);break;case"root-top":this.addWidget(l,{mode:"split-top"});break;case"root-left":this.addWidget(l,{mode:"split-left"});break;case"root-right":this.addWidget(l,{mode:"split-right"});break;case"root-bottom":this.addWidget(l,{mode:"split-bottom"});break;case"widget-all":this.addWidget(l,{mode:"tab-after",ref:c});break;case"widget-top":this.addWidget(l,{mode:"split-top",ref:c});break;case"widget-left":this.addWidget(l,{mode:"split-left",ref:c});break;case"widget-right":this.addWidget(l,{mode:"split-right",ref:c});break;case"widget-bottom":this.addWidget(l,{mode:"split-bottom",ref:c});break;case"widget-tab":this.addWidget(l,{mode:"tab-after",ref:c});break;default:throw"unreachable"}e.dropAction=e.proposedAction,e.stopPropagation(),this.activateWidget(l)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation(),e.keyCode===27&&(this._releaseMouse(),Te.postMessage(this,ji.LayoutModified))}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=e.target,n=Ts(t.handles(),u=>u.contains(r));if(!n)return;e.preventDefault(),e.stopPropagation(),this._document.addEventListener("keydown",this,!0),this._document.addEventListener("pointerup",this,!0),this._document.addEventListener("pointermove",this,!0),this._document.addEventListener("contextmenu",this,!0);let s=n.getBoundingClientRect(),o=e.clientX-s.left,a=e.clientY-s.top,l=window.getComputedStyle(n),c=lr.overrideCursor(l.cursor,this._document);this._pressData={handle:n,deltaX:o,deltaY:a,override:c}}_evtPointerMove(e){if(!this._pressData)return;e.preventDefault(),e.stopPropagation();let t=this.node.getBoundingClientRect(),r=e.clientX-t.left-this._pressData.deltaX,n=e.clientY-t.top-this._pressData.deltaY;this.layout.moveHandle(this._pressData.handle,r,n)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse(),Te.postMessage(this,ji.LayoutModified))}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._document.removeEventListener("keydown",this,!0),this._document.removeEventListener("pointerup",this,!0),this._document.removeEventListener("pointermove",this,!0),this._document.removeEventListener("contextmenu",this,!0))}_showOverlay(e,t){let{zone:r,target:n}=ji.findDropTarget(this,e,t,this._edges);if(r==="invalid")return this.overlay.hide(100),r;let s,o,a,l,c=Ce.boxSizing(this.node),u=this.node.getBoundingClientRect();switch(r){case"root-all":s=c.paddingTop,o=c.paddingLeft,a=c.paddingRight,l=c.paddingBottom;break;case"root-top":s=c.paddingTop,o=c.paddingLeft,a=c.paddingRight,l=u.height*ji.GOLDEN_RATIO;break;case"root-left":s=c.paddingTop,o=c.paddingLeft,a=u.width*ji.GOLDEN_RATIO,l=c.paddingBottom;break;case"root-right":s=c.paddingTop,o=u.width*ji.GOLDEN_RATIO,a=c.paddingRight,l=c.paddingBottom;break;case"root-bottom":s=u.height*ji.GOLDEN_RATIO,o=c.paddingLeft,a=c.paddingRight,l=c.paddingBottom;break;case"widget-all":s=n.top,o=n.left,a=n.right,l=n.bottom;break;case"widget-top":s=n.top,o=n.left,a=n.right,l=n.bottom+n.height/2;break;case"widget-left":s=n.top,o=n.left,a=n.right+n.width/2,l=n.bottom;break;case"widget-right":s=n.top,o=n.left+n.width/2,a=n.right,l=n.bottom;break;case"widget-bottom":s=n.top+n.height/2,o=n.left,a=n.right,l=n.bottom;break;case"widget-tab":{let d=n.tabBar.node.getBoundingClientRect().height;s=n.top,o=n.left,a=n.right,l=n.bottom+n.height-d;break}default:throw"unreachable"}return this.overlay.show({top:s,left:o,right:a,bottom:l}),r}_createTabBar(){let e=this._renderer.createTabBar(this._document);return ji.isGeneratedTabBarProperty.set(e,!0),this._mode==="single-document"&&e.hide(),e.tabsMovable=this._tabsMovable,e.allowDeselect=!1,e.addButtonEnabled=this._addButtonEnabled,e.removeBehavior="select-previous-tab",e.insertBehavior="select-tab-if-needed",e.tabMoved.connect(this._onTabMoved,this),e.currentChanged.connect(this._onCurrentChanged,this),e.tabCloseRequested.connect(this._onTabCloseRequested,this),e.tabDetachRequested.connect(this._onTabDetachRequested,this),e.tabActivateRequested.connect(this._onTabActivateRequested,this),e.addRequested.connect(this._onTabAddRequested,this),e}_createHandle(){return this._renderer.createHandle()}_onTabMoved(){Te.postMessage(this,ji.LayoutModified)}_onCurrentChanged(e,t){let{previousTitle:r,currentTitle:n}=t;r&&r.owner.hide(),n&&n.owner.show(),(Mi.IS_EDGE||Mi.IS_IE)&&Te.flush(),Te.postMessage(this,ji.LayoutModified)}_onTabAddRequested(e){this._addRequested.emit(e)}_onTabActivateRequested(e,t){t.title.owner.activate()}_onTabCloseRequested(e,t){t.title.owner.close()}_onTabDetachRequested(e,t){if(this._drag)return;e.releaseMouse();let{title:r,tab:n,clientX:s,clientY:o,offset:a}=t,l=new gl.MimeData,c=()=>r.owner;l.setData("application/vnd.lumino.widget-factory",c);let u=n.cloneNode(!0);a&&(u.style.top=`-${a.y}px`,u.style.left=`-${a.x}px`),this._drag=new lr({document:this._document,mimeData:l,dragImage:u,proposedAction:"move",supportedActions:"move",source:this}),n.classList.add("lm-mod-hidden");let d=()=>{this._drag=null,n.classList.remove("lm-mod-hidden")};this._drag.start(s,o).then(d)}};(function(i){class e{constructor(){this._timer=-1,this._hidden=!0,this.node=document.createElement("div"),this.node.classList.add("lm-DockPanel-overlay"),this.node.classList.add("lm-mod-hidden"),this.node.style.position="absolute",this.node.style.contain="strict"}show(n){let s=this.node.style;s.top=`${n.top}px`,s.left=`${n.left}px`,s.right=`${n.right}px`,s.bottom=`${n.bottom}px`,clearTimeout(this._timer),this._timer=-1,this._hidden&&(this._hidden=!1,this.node.classList.remove("lm-mod-hidden"))}hide(n){if(!this._hidden){if(n<=0){clearTimeout(this._timer),this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden");return}this._timer===-1&&(this._timer=window.setTimeout(()=>{this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden")},n))}}}i.Overlay=e;class t{createTabBar(n){let s=new Lc({document:n});return s.addClass("lm-DockPanel-tabBar"),s}createHandle(){let n=document.createElement("div");return n.className="lm-DockPanel-handle",n}}i.Renderer=t,i.defaultRenderer=new t})(su||(su={}));(function(i){i.GOLDEN_RATIO=.618,i.DEFAULT_EDGES={top:12,right:40,bottom:40,left:40},i.LayoutModified=new Ac("layout-modified"),i.isGeneratedTabBarProperty=new ht({name:"isGeneratedTabBar",create:()=>!1});function e(n){if(n.isEmpty)return{main:null};let s=Array.from(n.widgets()),o=n.selectedWidgets().next().value,a=o?s.indexOf(o):-1;return{main:{type:"tab-area",widgets:s,currentIndex:a}}}i.createSingleDocumentConfig=e;function t(n,s,o,a){if(!Ce.hitTest(n.node,s,o))return{zone:"invalid",target:null};let l=n.layout;if(l.isEmpty)return{zone:"root-all",target:null};if(n.mode==="multiple-document"){let S=n.node.getBoundingClientRect(),I=s-S.left+1,C=o-S.top+1,b=S.right-s,k=S.bottom-o;switch(Math.min(C,b,k,I)){case C:if(Cp&&f>p&&d>_&&h>_)return{zone:"widget-all",target:c};u/=p,d/=_,f/=p,h/=_;let x=Math.min(u,d,f,h),y;switch(x){case u:y="widget-left";break;case d:y="widget-top";break;case f:y="widget-right";break;case h:y="widget-bottom";break;default:throw"unreachable"}return{zone:y,target:c}}i.findDropTarget=t;function r(n){return n.titles.length===0?null:n.currentTitle?n.currentTitle.owner:n.titles[n.titles.length-1].owner}i.getDropRef=r})(ji||(ji={}));pl=class extends pa{constructor(e={}){super(e),this._dirty=!1,this._rowSpacing=4,this._columnSpacing=4,this._items=[],this._rowStarts=[],this._columnStarts=[],this._rowSizers=[new fa],this._columnSizers=[new fa],this._box=null,e.rowCount!==void 0&&vr.reallocSizers(this._rowSizers,e.rowCount),e.columnCount!==void 0&&vr.reallocSizers(this._columnSizers,e.columnCount),e.rowSpacing!==void 0&&(this._rowSpacing=vr.clampValue(e.rowSpacing)),e.columnSpacing!==void 0&&(this._columnSpacing=vr.clampValue(e.columnSpacing))}dispose(){for(let e of this._items){let t=e.widget;e.dispose(),t.dispose()}this._box=null,this._items.length=0,this._rowStarts.length=0,this._rowSizers.length=0,this._columnStarts.length=0,this._columnSizers.length=0,super.dispose()}get rowCount(){return this._rowSizers.length}set rowCount(e){e!==this.rowCount&&(vr.reallocSizers(this._rowSizers,e),this.parent&&this.parent.fit())}get columnCount(){return this._columnSizers.length}set columnCount(e){e!==this.columnCount&&(vr.reallocSizers(this._columnSizers,e),this.parent&&this.parent.fit())}get rowSpacing(){return this._rowSpacing}set rowSpacing(e){e=vr.clampValue(e),this._rowSpacing!==e&&(this._rowSpacing=e,this.parent&&this.parent.fit())}get columnSpacing(){return this._columnSpacing}set columnSpacing(e){e=vr.clampValue(e),this._columnSpacing!==e&&(this._columnSpacing=e,this.parent&&this.parent.fit())}rowStretch(e){let t=this._rowSizers[e];return t?t.stretch:-1}setRowStretch(e,t){let r=this._rowSizers[e];r&&(t=vr.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}columnStretch(e){let t=this._columnSizers[e];return t?t.stretch:-1}setColumnStretch(e,t){let r=this._columnSizers[e];r&&(t=vr.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}*[Symbol.iterator](){for(let e of this._items)yield e.widget}addWidget(e){z.findFirstIndex(this._items,r=>r.widget===e)===-1&&(this._items.push(new ru(e)),this.parent&&this.attachWidget(e))}removeWidget(e){let t=z.findFirstIndex(this._items,n=>n.widget===e);if(t===-1)return;let r=z.removeAt(this._items,t);this.parent&&this.detachWidget(e),r.dispose()}init(){super.init();for(let e of this)this.attachWidget(e)}attachWidget(e){this.parent.isAttached&&Te.sendMessage(e,he.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&Te.sendMessage(e,he.Msg.AfterAttach),this.parent.fit()}detachWidget(e){this.parent.isAttached&&Te.sendMessage(e,he.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&Te.sendMessage(e,he.Msg.AfterDetach),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){for(let l=0,c=this.rowCount;l!l.isHidden);for(let l=0,c=e.length;l({row:0,column:0,rowSpan:1,columnSpan:1}),changed:a});function e(l){let c=Math.max(0,Math.floor(l.row||0)),u=Math.max(0,Math.floor(l.column||0)),d=Math.max(1,Math.floor(l.rowSpan||0)),f=Math.max(1,Math.floor(l.columnSpan||0));return{row:c,column:u,rowSpan:d,columnSpan:f}}i.normalizeConfig=e;function t(l){return Math.max(0,Math.floor(l))}i.clampValue=t;function r(l,c){let u=i.cellConfigProperty.get(l.widget),d=i.cellConfigProperty.get(c.widget);return u.rowSpan-d.rowSpan}i.rowSpanCmp=r;function n(l,c){let u=i.cellConfigProperty.get(l.widget),d=i.cellConfigProperty.get(c.widget);return u.columnSpan-d.columnSpan}i.columnSpanCmp=n;function s(l,c){for(c=Math.max(1,Math.floor(c));l.lengthc&&(l.length=c)}i.reallocSizers=s;function o(l,c,u,d){if(u=d)return;let h=(d-f)/(u-c+1);for(let m=c;m<=u;++m)l[m].minSize+=h}i.distributeMin=o;function a(l){l.parent&&l.parent.layout instanceof pl&&l.parent.fit()}})(vr||(vr={}));cm=class extends he{constructor(e={}){super({node:ux.createNode()}),this._activeIndex=-1,this._tabFocusIndex=0,this._menus=[],this._childMenu=null,this._overflowMenu=null,this._menuItemSizes=[],this._overflowIndex=-1,this.addClass("lm-MenuBar"),this.setFlag(he.Flag.DisallowLayout),this.renderer=e.renderer||cm.defaultRenderer,this._forceItemsPosition=e.forceItemsPosition||{forceX:!0,forceY:!0},this._overflowMenuOptions=e.overflowMenuOptions||{isVisible:!0}}dispose(){this._closeChildMenu(),this._menus.length=0,super.dispose()}get childMenu(){return this._childMenu}get overflowIndex(){return this._overflowIndex}get overflowMenu(){return this._overflowMenu}get contentNode(){return this.node.getElementsByClassName("lm-MenuBar-content")[0]}get activeMenu(){return this._menus[this._activeIndex]||null}set activeMenu(e){this.activeIndex=e?this._menus.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._menus.length)&&(e=-1),e>-1&&this._menus[e].items.length===0&&(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this.update())}get menus(){return this._menus}openActiveMenu(){this._activeIndex!==-1&&(this._openChildMenu(),this._childMenu&&(this._childMenu.activeIndex=-1,this._childMenu.activateNextItem()))}addMenu(e,t=!0){this.insertMenu(this._menus.length,e,t)}insertMenu(e,t,r=!0){this._closeChildMenu();let n=this._menus.indexOf(t),s=Math.max(0,Math.min(e,this._menus.length));if(n===-1){z.insert(this._menus,s,t),t.addClass("lm-MenuBar-menu"),t.aboutToClose.connect(this._onMenuAboutToClose,this),t.menuRequested.connect(this._onMenuMenuRequested,this),t.title.changed.connect(this._onTitleChanged,this),r&&this.update();return}s===this._menus.length&&s--,n!==s&&(z.move(this._menus,n,s),r&&this.update())}removeMenu(e,t=!0){this.removeMenuAt(this._menus.indexOf(e),t)}removeMenuAt(e,t=!0){this._closeChildMenu();let r=z.removeAt(this._menus,e);r&&(r.aboutToClose.disconnect(this._onMenuAboutToClose,this),r.menuRequested.disconnect(this._onMenuMenuRequested,this),r.title.changed.disconnect(this._onTitleChanged,this),r.removeClass("lm-MenuBar-menu"),t&&this.update())}clearMenus(){if(this._menus.length!==0){this._closeChildMenu();for(let e of this._menus)e.aboutToClose.disconnect(this._onMenuAboutToClose,this),e.menuRequested.disconnect(this._onMenuMenuRequested,this),e.title.changed.disconnect(this._onTitleChanged,this),e.removeClass("lm-MenuBar-menu");this._menus.length=0,this.update()}}handleEvent(e){switch(e.type){case"keydown":this._evtKeyDown(e);break;case"mousedown":this._evtMouseDown(e);break;case"mousemove":case"mouseleave":this._evtMouseMove(e);break;case"focusout":this._evtFocusOut(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("keydown",this),this.node.addEventListener("mousedown",this),this.node.addEventListener("mousemove",this),this.node.addEventListener("mouseleave",this),this.node.addEventListener("focusout",this),this.node.addEventListener("contextmenu",this)}onAfterDetach(e){this.node.removeEventListener("keydown",this),this.node.removeEventListener("mousedown",this),this.node.removeEventListener("mousemove",this),this.node.removeEventListener("mouseleave",this),this.node.removeEventListener("focusout",this),this.node.removeEventListener("contextmenu",this),this._closeChildMenu()}onActivateRequest(e){this.isAttached&&this._focusItemAt(0)}onResize(e){this.update(),super.onResize(e)}onUpdateRequest(e){var t;let r=this._menus,n=this.renderer,s=this._activeIndex,o=this._tabFocusIndex>=0&&this._tabFocusIndex-1?this._overflowIndex:r.length,l=0,c=!1;a=this._overflowMenu!==null?a-1:a;let u=new Array(a);for(let d=0;d{this._tabFocusIndex=d,this.activeIndex=d}}),l+=this._menuItemSizes[d],r[d].title.label===this._overflowMenuOptions.title&&(c=!0,a--);if(this._overflowMenuOptions.isVisible){if(this._overflowIndex>-1&&!c){if(this._overflowMenu===null){let d=(t=this._overflowMenuOptions.title)!==null&&t!==void 0?t:"...";this._overflowMenu=new ma({commands:new Qr}),this._overflowMenu.title.label=d,this._overflowMenu.title.mnemonic=0,this.addMenu(this._overflowMenu,!1)}for(let d=r.length-2;d>=a;d--){let f=this.menus[d];f.title.mnemonic=0,this._overflowMenu.insertItem(0,{type:"submenu",submenu:f}),this.removeMenu(f,!1)}u[a]=n.renderItem({title:this._overflowMenu.title,active:a===s&&r[a].items.length!==0,tabbable:a===o,disabled:r[a].items.length===0,onfocus:()=>{this._tabFocusIndex=a,this.activeIndex=a}}),a++}else if(this._overflowMenu!==null){let d=this._overflowMenu.items,f=this.node.offsetWidth,h=this._overflowMenu.items.length;for(let m=0;mthis._menuItemSizes[p]){let _=d[0].submenu;this._overflowMenu.removeItemAt(0),this.insertMenu(a,_,!1),u[a]=n.renderItem({title:_.title,active:!1,tabbable:a===o,disabled:r[a].items.length===0,onfocus:()=>{this._tabFocusIndex=a,this.activeIndex=a}}),a++}}this._overflowMenu.items.length===0&&(this.removeMenu(this._overflowMenu,!1),u.pop(),this._overflowMenu=null,this._overflowIndex=-1)}}Ht.render(u,this.contentNode),this._updateOverflowIndex()}_updateOverflowIndex(){if(!this._overflowMenuOptions.isVisible)return;let e=this.contentNode.childNodes,t=this.node.offsetWidth,r=0,n=-1,s=e.length;if(this._menuItemSizes.length==0)for(let o=0;ot&&n===-1&&(n=o)}else for(let o=0;ot){n=o;break}this._overflowIndex=n}_evtKeyDown(e){let t=e.keyCode;if(t===9){this.activeIndex=-1;return}if(e.preventDefault(),e.stopPropagation(),t===13||t===32||t===38||t===40){if(this.activeIndex=this._tabFocusIndex,this.activeIndex!==this._tabFocusIndex)return;this.openActiveMenu();return}if(t===27){this._closeChildMenu(),this._focusItemAt(this.activeIndex);return}if(t===37||t===39){let o=t===37?-1:1,a=this._tabFocusIndex+o,l=this._menus.length;for(let c=0;cCe.hitTest(r,e.clientX,e.clientY));if(t===-1){this._closeChildMenu();return}if(e.button===0)if(this._childMenu)this._closeChildMenu(),this.activeIndex=t;else{e.preventDefault();let r=this._positionForMenu(t);ma.saveWindowData(),this.activeIndex=t,this._openChildMenu(r)}}_evtMouseMove(e){let t=z.findFirstIndex(this.contentNode.children,n=>Ce.hitTest(n,e.clientX,e.clientY));if(t===this._activeIndex||t===-1&&this._childMenu)return;let r=t>=0&&this._childMenu?this._positionForMenu(t):null;ma.saveWindowData(),this.activeIndex=t,r&&this._openChildMenu(r)}_positionForMenu(e){let t=this.contentNode.children[e],{left:r,bottom:n}=t.getBoundingClientRect();return{top:n,left:r}}_evtFocusOut(e){!this._childMenu&&!this.node.contains(e.relatedTarget)&&(this.activeIndex=-1)}_focusItemAt(e){let t=this.contentNode.childNodes[e];t&&t.focus()}_openChildMenu(e={}){let t=this.activeMenu;if(!t){this._closeChildMenu();return}let r=this._childMenu;if(r===t)return;this._childMenu=t,r?r.close():document.addEventListener("mousedown",this,!0),this._tabFocusIndex=this.activeIndex,Te.sendMessage(this,he.Msg.UpdateRequest);let{left:n,top:s}=e;(typeof n>"u"||typeof s>"u")&&({left:n,top:s}=this._positionForMenu(this._activeIndex)),r||this.addClass("lm-mod-active"),t.items.length>0&&t.open(n,s,this._forceItemsPosition)}_closeChildMenu(){if(!this._childMenu)return;this.removeClass("lm-mod-active"),document.removeEventListener("mousedown",this,!0);let e=this._childMenu;this._childMenu=null,e.close(),this.activeIndex=-1}_onMenuAboutToClose(e){e===this._childMenu&&(this.removeClass("lm-mod-active"),document.removeEventListener("mousedown",this,!0),this._childMenu=null,this.activeIndex=-1)}_onMenuMenuRequested(e,t){if(e!==this._childMenu)return;let r=this._activeIndex,n=this._menus.length;switch(t){case"next":this.activeIndex=r===n-1?0:r+1;break;case"previous":this.activeIndex=r===0?n-1:r-1;break}this.openActiveMenu()}_onTitleChanged(){this.update()}};(function(i){class e{renderItem(r){let n=this.createItemClass(r),s=this.createItemDataset(r),o=this.createItemARIA(r);return ye.li({className:n,dataset:s,...r.disabled?{}:{tabindex:r.tabbable?"0":"-1"},onfocus:r.onfocus,...o},this.renderIcon(r),this.renderLabel(r))}renderIcon(r){let n=this.createIconClass(r);return ye.div({className:n},r.title.icon,r.title.iconLabel)}renderLabel(r){let n=this.formatLabel(r);return ye.div({className:"lm-MenuBar-itemLabel"},n)}createItemClass(r){let n="lm-MenuBar-item";return r.title.className&&(n+=` ${r.title.className}`),r.active&&!r.disabled&&(n+=" lm-mod-active"),n}createItemDataset(r){return r.title.dataset}createItemARIA(r){return{role:"menuitem","aria-haspopup":"true","aria-disabled":r.disabled?"true":"false"}}createIconClass(r){let n="lm-MenuBar-itemIcon",s=r.title.iconClass;return s?`${n} ${s}`:n}formatLabel(r){let{label:n,mnemonic:s}=r.title;if(s<0||s>=n.length)return n;let o=n.slice(0,s),a=n.slice(s+1),l=n[s],c=ye.span({className:"lm-MenuBar-itemMnemonic"},l);return[o,c,a]}}i.Renderer=e,i.defaultRenderer=new e})(cm||(cm={}));(function(i){function e(){let 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this.testFlag(pe.Flag.IsDisposed)}get isAttached(){return this.testFlag(pe.Flag.IsAttached)}get isHidden(){return this.testFlag(pe.Flag.IsHidden)}get isVisible(){let e=this;do{if(e.isHidden||!e.isAttached)return!1;e=e.parent}while(e!=null);return!0}get title(){return fx.titleProperty.get(this)}get id(){return this.node.id}set id(e){this.node.id=e}get dataset(){return this.node.dataset}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){this._hiddenMode!==e&&(this.isHidden&&this._toggleHidden(!1),e==pe.HiddenMode.Scale?this.node.style.willChange="transform":this.node.style.willChange="auto",this._hiddenMode=e,this.isHidden&&this._toggleHidden(!0))}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(e&&this.contains(e))throw new Error("Invalid parent widget.");if(this._parent&&!this._parent.isDisposed){let t=new pe.ChildMessage("child-removed",this);Ne.sendMessage(this._parent,t)}if(this._parent=e,this._parent&&!this._parent.isDisposed){let t=new pe.ChildMessage("child-added",this);Ne.sendMessage(this._parent,t)}this.isDisposed||Ne.sendMessage(this,pe.Msg.ParentChanged)}}get layout(){return this._layout}set layout(e){if(this._layout!==e){if(this.testFlag(pe.Flag.DisallowLayout))throw new Error("Cannot set widget layout.");if(this._layout)throw new Error("Cannot change widget layout.");if(e.parent)throw new Error("Cannot change layout parent.");this._layout=e,e.parent=this}}*children(){this._layout&&(yield*this._layout)}contains(e){for(let t=e;t;t=t._parent)if(t===this)return!0;return!1}hasClass(e){return this.node.classList.contains(e)}addClass(e){this.node.classList.add(e)}removeClass(e){this.node.classList.remove(e)}toggleClass(e,t){return t===!0?(this.node.classList.add(e),!0):t===!1?(this.node.classList.remove(e),!1):this.node.classList.toggle(e)}update(){Ne.postMessage(this,pe.Msg.UpdateRequest)}fit(){Ne.postMessage(this,pe.Msg.FitRequest)}activate(){Ne.postMessage(this,pe.Msg.ActivateRequest)}close(){Ne.sendMessage(this,pe.Msg.CloseRequest)}show(){if(this.testFlag(pe.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&Ne.sendMessage(this,pe.Msg.BeforeShow),this.clearFlag(pe.Flag.IsHidden),this._toggleHidden(!1),this.isAttached&&(!this.parent||this.parent.isVisible)&&Ne.sendMessage(this,pe.Msg.AfterShow),this.parent)){let e=new pe.ChildMessage("child-shown",this);Ne.sendMessage(this.parent,e)}}hide(){if(!this.testFlag(pe.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&Ne.sendMessage(this,pe.Msg.BeforeHide),this.setFlag(pe.Flag.IsHidden),this._toggleHidden(!0),this.isAttached&&(!this.parent||this.parent.isVisible)&&Ne.sendMessage(this,pe.Msg.AfterHide),this.parent)){let e=new pe.ChildMessage("child-hidden",this);Ne.sendMessage(this.parent,e)}}setHidden(e){e?this.hide():this.show()}testFlag(e){return(this._flags&e)!==0}setFlag(e){this._flags|=e}clearFlag(e){this._flags&=~e}processMessage(e){switch(e.type){case"resize":this.notifyLayout(e),this.onResize(e);break;case"update-request":this.notifyLayout(e),this.onUpdateRequest(e);break;case"fit-request":this.notifyLayout(e),this.onFitRequest(e);break;case"before-show":this.notifyLayout(e),this.onBeforeShow(e);break;case"after-show":this.setFlag(pe.Flag.IsVisible),this.notifyLayout(e),this.onAfterShow(e);break;case"before-hide":this.notifyLayout(e),this.onBeforeHide(e);break;case"after-hide":this.clearFlag(pe.Flag.IsVisible),this.notifyLayout(e),this.onAfterHide(e);break;case"before-attach":this.notifyLayout(e),this.onBeforeAttach(e);break;case"after-attach":!this.isHidden&&(!this.parent||this.parent.isVisible)&&this.setFlag(pe.Flag.IsVisible),this.setFlag(pe.Flag.IsAttached),this.notifyLayout(e),this.onAfterAttach(e);break;case"before-detach":this.notifyLayout(e),this.onBeforeDetach(e);break;case"after-detach":this.clearFlag(pe.Flag.IsVisible),this.clearFlag(pe.Flag.IsAttached),this.notifyLayout(e),this.onAfterDetach(e);break;case"activate-request":this.notifyLayout(e),this.onActivateRequest(e);break;case"close-request":this.notifyLayout(e),this.onCloseRequest(e);break;case"child-added":this.notifyLayout(e),this.onChildAdded(e);break;case"child-removed":this.notifyLayout(e),this.onChildRemoved(e);break;default:this.notifyLayout(e);break}}notifyLayout(e){this._layout&&this._layout.processParentMessage(e)}onCloseRequest(e){this.parent?this.parent=null:this.isAttached&&pe.detach(this)}onResize(e){}onUpdateRequest(e){}onFitRequest(e){}onActivateRequest(e){}onBeforeShow(e){}onAfterShow(e){}onBeforeHide(e){}onAfterHide(e){}onBeforeAttach(e){}onAfterAttach(e){}onBeforeDetach(e){}onAfterDetach(e){}onChildAdded(e){}onChildRemoved(e){}_toggleHidden(e){if(e)switch(this._hiddenMode){case pe.HiddenMode.Display:this.addClass("lm-mod-hidden");break;case pe.HiddenMode.Scale:this.node.style.transform="scale(0)",this.node.setAttribute("aria-hidden","true");break;case pe.HiddenMode.ContentVisibility:this.node.style.contentVisibility="hidden",this.node.style.zIndex="-1";break}else switch(this._hiddenMode){case pe.HiddenMode.Display:this.removeClass("lm-mod-hidden");break;case pe.HiddenMode.Scale:this.node.style.transform="",this.node.removeAttribute("aria-hidden");break;case pe.HiddenMode.ContentVisibility:this.node.style.contentVisibility="",this.node.style.zIndex="";break}}};(function(i){(function(s){s[s.Display=0]="Display",s[s.Scale=1]="Scale",s[s.ContentVisibility=2]="ContentVisibility"})(i.HiddenMode||(i.HiddenMode={})),function(s){s[s.IsDisposed=1]="IsDisposed",s[s.IsAttached=2]="IsAttached",s[s.IsHidden=4]="IsHidden",s[s.IsVisible=8]="IsVisible",s[s.DisallowLayout=16]="DisallowLayout"}(i.Flag||(i.Flag={})),function(s){s.BeforeShow=new Sn("before-show"),s.AfterShow=new Sn("after-show"),s.BeforeHide=new Sn("before-hide"),s.AfterHide=new Sn("after-hide"),s.BeforeAttach=new Sn("before-attach"),s.AfterAttach=new Sn("after-attach"),s.BeforeDetach=new Sn("before-detach"),s.AfterDetach=new Sn("after-detach"),s.ParentChanged=new Sn("parent-changed"),s.UpdateRequest=new Nc("update-request"),s.FitRequest=new Nc("fit-request"),s.ActivateRequest=new Nc("activate-request"),s.CloseRequest=new Nc("close-request")}(i.Msg||(i.Msg={}));class e extends Sn{constructor(o,a){super(o),this.child=a}}i.ChildMessage=e;class t extends Sn{constructor(o,a){super("resize"),this.width=o,this.height=a}}i.ResizeMessage=t,function(s){s.UnknownSize=new s(-1,-1)}(t=i.ResizeMessage||(i.ResizeMessage={}));function r(s,o,a=null){if(s.parent)throw new Error("Cannot attach a child widget.");if(s.isAttached||s.node.isConnected)throw new Error("Widget is already attached.");if(!o.isConnected)throw new Error("Host is not attached.");Ne.sendMessage(s,i.Msg.BeforeAttach),o.insertBefore(s.node,a),Ne.sendMessage(s,i.Msg.AfterAttach)}i.attach=r;function n(s){if(s.parent)throw new Error("Cannot detach a child widget.");if(!s.isAttached||!s.node.isConnected)throw new Error("Widget is not attached.");Ne.sendMessage(s,i.Msg.BeforeDetach),s.node.parentNode.removeChild(s.node),Ne.sendMessage(s,i.Msg.AfterDetach)}i.detach=n})(pe||(pe={}));(function(i){i.titleProperty=new ht({name:"title",create:t=>new zg({owner:t})});function e(t){return t.node||document.createElement(t.tag||"div")}i.createNode=e})(fx||(fx={}));ba=class{constructor(e={}){this._disposed=!1,this._parent=null,this._fitPolicy=e.fitPolicy||"set-min-size"}dispose(){this._parent=null,this._disposed=!0,Me.clearData(this),ht.clearData(this)}get isDisposed(){return this._disposed}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(this._parent)throw new Error("Cannot change parent widget.");if(e.layout!==this)throw new Error("Invalid parent widget.");this._parent=e,this.init()}}get fitPolicy(){return this._fitPolicy}set fitPolicy(e){if(this._fitPolicy!==e&&(this._fitPolicy=e,this._parent)){let t=this._parent.node.style;t.minWidth="",t.minHeight="",t.maxWidth="",t.maxHeight="",this._parent.fit()}}processParentMessage(e){switch(e.type){case"resize":this.onResize(e);break;case"update-request":this.onUpdateRequest(e);break;case"fit-request":this.onFitRequest(e);break;case"before-show":this.onBeforeShow(e);break;case"after-show":this.onAfterShow(e);break;case"before-hide":this.onBeforeHide(e);break;case"after-hide":this.onAfterHide(e);break;case"before-attach":this.onBeforeAttach(e);break;case"after-attach":this.onAfterAttach(e);break;case"before-detach":this.onBeforeDetach(e);break;case"after-detach":this.onAfterDetach(e);break;case"child-removed":this.onChildRemoved(e);break;case"child-shown":this.onChildShown(e);break;case"child-hidden":this.onChildHidden(e);break}}init(){for(let e of this)e.parent=this.parent}onResize(e){for(let t of this)Ne.sendMessage(t,pe.ResizeMessage.UnknownSize)}onUpdateRequest(e){for(let t of this)Ne.sendMessage(t,pe.ResizeMessage.UnknownSize)}onBeforeAttach(e){for(let t of this)Ne.sendMessage(t,e)}onAfterAttach(e){for(let t of this)Ne.sendMessage(t,e)}onBeforeDetach(e){for(let t of this)Ne.sendMessage(t,e)}onAfterDetach(e){for(let t of this)Ne.sendMessage(t,e)}onBeforeShow(e){for(let t of this)t.isHidden||Ne.sendMessage(t,e)}onAfterShow(e){for(let t of this)t.isHidden||Ne.sendMessage(t,e)}onBeforeHide(e){for(let t of this)t.isHidden||Ne.sendMessage(t,e)}onAfterHide(e){for(let t of this)t.isHidden||Ne.sendMessage(t,e)}onChildRemoved(e){this.removeWidget(e.child)}onFitRequest(e){}onChildShown(e){}onChildHidden(e){}};(function(i){function e(s){return hm.horizontalAlignmentProperty.get(s)}i.getHorizontalAlignment=e;function t(s,o){hm.horizontalAlignmentProperty.set(s,o)}i.setHorizontalAlignment=t;function r(s){return hm.verticalAlignmentProperty.get(s)}i.getVerticalAlignment=r;function n(s,o){hm.verticalAlignmentProperty.set(s,o)}i.setVerticalAlignment=n})(ba||(ba={}));au=class{constructor(e){this._top=NaN,this._left=NaN,this._width=NaN,this._height=NaN,this._minWidth=0,this._minHeight=0,this._maxWidth=1/0,this._maxHeight=1/0,this._disposed=!1,this.widget=e,this.widget.node.style.position="absolute",this.widget.node.style.contain="strict"}dispose(){if(this._disposed)return;this._disposed=!0;let e=this.widget.node.style;e.position="",e.top="",e.left="",e.width="",e.height="",e.contain=""}get minWidth(){return this._minWidth}get minHeight(){return this._minHeight}get maxWidth(){return this._maxWidth}get maxHeight(){return this._maxHeight}get isDisposed(){return this._disposed}get isHidden(){return this.widget.isHidden}get isVisible(){return this.widget.isVisible}get isAttached(){return this.widget.isAttached}fit(){let e=Ce.sizeLimits(this.widget.node);this._minWidth=e.minWidth,this._minHeight=e.minHeight,this._maxWidth=e.maxWidth,this._maxHeight=e.maxHeight}update(e,t,r,n){let s=Math.max(this._minWidth,Math.min(r,this._maxWidth)),o=Math.max(this._minHeight,Math.min(n,this._maxHeight));if(s"center",changed:e}),i.verticalAlignmentProperty=new ht({name:"verticalAlignment",create:()=>"top",changed:e});function e(t){t.parent&&t.parent.layout&&t.parent.update()}})(hm||(hm={}));fm=class extends ba{constructor(){super(...arguments),this._widgets=[]}dispose(){for(;this._widgets.length>0;)this._widgets.pop().dispose();super.dispose()}get widgets(){return this._widgets}*[Symbol.iterator](){yield*this._widgets}addWidget(e){this.insertWidget(this._widgets.length,e)}insertWidget(e,t){t.parent=this.parent;let r=this._widgets.indexOf(t),n=Math.max(0,Math.min(e,this._widgets.length));if(r===-1){z.insert(this._widgets,n,t),this.parent&&this.attachWidget(n,t);return}n===this._widgets.length&&n--,r!==n&&(z.move(this._widgets,r,n),this.parent&&this.moveWidget(r,n,t))}removeWidget(e){this.removeWidgetAt(this._widgets.indexOf(e))}removeWidgetAt(e){let t=z.removeAt(this._widgets,e);t&&this.parent&&this.detachWidget(e,t)}init(){super.init();let e=0;for(let t of this)this.attachWidget(e++,t)}attachWidget(e,t){let r=this.parent.node.children[e];this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.BeforeAttach),this.parent.node.insertBefore(t.node,r),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.AfterAttach)}moveWidget(e,t,r){this.parent.isAttached&&Ne.sendMessage(r,pe.Msg.BeforeDetach),this.parent.node.removeChild(r.node),this.parent.isAttached&&Ne.sendMessage(r,pe.Msg.AfterDetach);let n=this.parent.node.children[t];this.parent.isAttached&&Ne.sendMessage(r,pe.Msg.BeforeAttach),this.parent.node.insertBefore(r.node,n),this.parent.isAttached&&Ne.sendMessage(r,pe.Msg.AfterAttach)}detachWidget(e,t){this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.AfterDetach)}};(function(i){function e(t){return Math.max(0,Math.floor(t))}i.clampDimension=e})(Pg||(Pg={}));Bg=Pg,Ro=class extends fm{constructor(e){super(),this.widgetOffset=0,this._fixed=0,this._spacing=4,this._dirty=!1,this._hasNormedSizes=!1,this._sizers=[],this._items=[],this._handles=[],this._box=null,this._alignment="start",this._orientation="horizontal",this.renderer=e.renderer,e.orientation!==void 0&&(this._orientation=e.orientation),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=Pg.clampDimension(e.spacing))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,this._handles.length=0,super.dispose()}get orientation(){return this._orientation}set orientation(e){this._orientation!==e&&(this._orientation=e,this.parent&&(this.parent.dataset.orientation=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=Pg.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get handles(){return this._handles}absoluteSizes(){return this._sizers.map(e=>e.size)}relativeSizes(){return vl.normalize(this._sizers.map(e=>e.size))}setRelativeSizes(e,t=!0){let r=this._sizers.length,n=e.slice(0,r);for(;n.length0&&(s.sizeHint=s.size);ls.adjust(this._sizers,e,n),this.parent&&this.parent.update()}}init(){this.parent.dataset.orientation=this.orientation,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){let r=new au(t),n=vl.createHandle(this.renderer),s=vl.averageSize(this._sizers),o=vl.createSizer(s);z.insert(this._items,e,r),z.insert(this._sizers,e,o),z.insert(this._handles,e,n),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.node.appendChild(n),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){z.move(this._items,e,t),z.move(this._sizers,e,t),z.move(this._handles,e,t),this.parent.fit()}detachWidget(e,t){let r=z.removeAt(this._items,e),n=z.removeAt(this._handles,e);z.removeAt(this._sizers,e),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.node.removeChild(n),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}updateItemPosition(e,t,r,n,s,o,a){let l=this._items[e];if(l.isHidden)return;let c=this._handles[e].style;t?(r+=this.widgetOffset,l.update(r,n,a,s),r+=a,c.top=`${n}px`,c.left=`${r}px`,c.width=`${this._spacing}px`,c.height=`${s}px`):(n+=this.widgetOffset,l.update(r,n,o,a),n+=a,c.top=`${n}px`,c.left=`${r}px`,c.width=`${o}px`,c.height=`${this._spacing}px`)}_fit(){let e=0,t=-1;for(let l=0,c=this._items.length;l0&&(d.sizeHint=d.size),u.isHidden){d.minSize=0,d.maxSize=0;continue}u.fit(),d.stretch=Ro.getStretch(u.widget),r?(d.minSize=u.minWidth,d.maxSize=u.maxWidth,n+=u.minWidth,s=Math.max(s,u.minHeight)):(d.minSize=u.minHeight,d.maxSize=u.maxHeight,s+=u.minHeight,n=Math.max(n,u.minWidth))}let o=this._box=Ce.boxSizing(this.parent.node);n+=o.horizontalSum,s+=o.verticalSum;let a=this.parent.node.style;a.minWidth=`${n}px`,a.minHeight=`${s}px`,this._dirty=!0,this.parent.parent&&Ne.sendMessage(this.parent.parent,pe.Msg.FitRequest),this._dirty&&Ne.sendMessage(this.parent,pe.Msg.UpdateRequest)}_update(e,t){this._dirty=!1;let r=0;for(let d=0,f=this._items.length;d0){let d;if(u?d=Math.max(0,o-this._fixed):d=Math.max(0,a-this._fixed),this._hasNormedSizes){for(let h of this._sizers)h.sizeHint*=d;this._hasNormedSizes=!1}let f=ls.calc(this._sizers,d);if(f>0)switch(this._alignment){case"start":break;case"center":l=0,c=f/2;break;case"end":l=0,c=f;break;case"justify":l=f/r,c=0;break;default:throw"unreachable"}}for(let d=0,f=this._items.length;d0,coerce:(o,a)=>Math.max(0,Math.floor(a)),changed:s});function e(o){let a=new ga;return a.sizeHint=Math.floor(o),a}i.createSizer=e;function t(o){let a=o.createHandle();return a.style.position="absolute",a.style.contain="style",a}i.createHandle=t;function r(o){return o.reduce((a,l)=>a+l.size,0)/o.length||0}i.averageSize=r;function n(o){let a=o.length;if(a===0)return[];let l=o.reduce((c,u)=>c+Math.abs(u),0);return l===0?o.map(c=>1/a):o.map(c=>c/l)}i.normalize=n;function s(o){o.parent&&o.parent.layout instanceof Ro&&o.parent.fit()}})(vl||(vl={}));oI=class extends Ro{constructor(e){super({...e,orientation:e.orientation||"vertical"}),this._titles=[],this.titleSpace=e.titleSpace||22}get titleSpace(){return this.widgetOffset}set titleSpace(e){e=Bg.clampDimension(e),this.widgetOffset!==e&&(this.widgetOffset=e,this.parent&&this.parent.fit())}get titles(){return this._titles}dispose(){this.isDisposed||(this._titles.length=0,super.dispose())}updateTitle(e,t){let r=this._titles[e],n=r.classList.contains("lm-mod-expanded"),s=mx.createTitle(this.renderer,t.title,n);this._titles[e]=s,this.parent.node.replaceChild(s,r)}insertWidget(e,t){t.id||(t.id=`id-${yl.UUID.uuid4()}`),super.insertWidget(e,t)}attachWidget(e,t){let r=mx.createTitle(this.renderer,t.title);z.insert(this._titles,e,r),this.parent.node.appendChild(r),t.node.setAttribute("role","region"),t.node.setAttribute("aria-labelledby",r.id),super.attachWidget(e,t)}moveWidget(e,t,r){z.move(this._titles,e,t),super.moveWidget(e,t,r)}detachWidget(e,t){let r=z.removeAt(this._titles,e);this.parent.node.removeChild(r),super.detachWidget(e,t)}updateItemPosition(e,t,r,n,s,o,a){let l=this._titles[e].style;l.top=`${n}px`,l.left=`${r}px`,l.height=`${this.widgetOffset}px`,t?l.width=`${s}px`:l.width=`${o}px`,super.updateItemPosition(e,t,r,n,s,o,a)}};(function(i){function e(t,r,n=!0){let s=t.createSectionTitle(r);return s.style.position="absolute",s.style.contain="strict",s.setAttribute("aria-label",`${r.label} Section`),s.setAttribute("aria-expanded",n?"true":"false"),s.setAttribute("aria-controls",r.owner.id),n&&s.classList.add("lm-mod-expanded"),s}i.createTitle=e})(mx||(mx={}));px=class extends pe{constructor(e={}){super(),this.addClass("lm-Panel"),this.layout=aI.createLayout(e)}get widgets(){return this.layout.widgets}addWidget(e){this.layout.addWidget(e)}insertWidget(e,t){this.layout.insertWidget(e,t)}};(function(i){function e(t){return t.layout||new fm}i.createLayout=e})(aI||(aI={}));lu=class extends px{constructor(e={}){super({layout:lI.createLayout(e)}),this._handleMoved=new Me(this),this._pressData=null,this.addClass("lm-SplitPanel")}dispose(){this._releaseMouse(),super.dispose()}get orientation(){return this.layout.orientation}set orientation(e){this.layout.orientation=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get renderer(){return this.layout.renderer}get handleMoved(){return this._handleMoved}get handles(){return this.layout.handles}relativeSizes(){return this.layout.relativeSizes()}setRelativeSizes(e,t=!0){this.layout.setRelativeSizes(e,t)}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){e.child.addClass("lm-SplitPanel-child"),this._releaseMouse()}onChildRemoved(e){e.child.removeClass("lm-SplitPanel-child"),this._releaseMouse()}_evtKeyDown(e){this._pressData&&(e.preventDefault(),e.stopPropagation()),e.keyCode===27&&this._releaseMouse()}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=z.findFirstIndex(t.handles,c=>c.contains(e.target));if(r===-1)return;e.preventDefault(),e.stopPropagation(),document.addEventListener("pointerup",this,!0),document.addEventListener("pointermove",this,!0),document.addEventListener("keydown",this,!0),document.addEventListener("contextmenu",this,!0);let n,s=t.handles[r],o=s.getBoundingClientRect();t.orientation==="horizontal"?n=e.clientX-o.left:n=e.clientY-o.top;let a=window.getComputedStyle(s),l=cr.overrideCursor(a.cursor);this._pressData={index:r,delta:n,override:l}}_evtPointerMove(e){e.preventDefault(),e.stopPropagation();let t,r=this.layout,n=this.node.getBoundingClientRect();r.orientation==="horizontal"?t=e.clientX-n.left-this._pressData.delta:t=e.clientY-n.top-this._pressData.delta,r.moveHandle(this._pressData.index,t)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse())}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._handleMoved.emit(),document.removeEventListener("keydown",this,!0),document.removeEventListener("pointerup",this,!0),document.removeEventListener("pointermove",this,!0),document.removeEventListener("contextmenu",this,!0))}};(function(i){class e{createHandle(){let s=document.createElement("div");return s.className="lm-SplitPanel-handle",s}}i.Renderer=e,i.defaultRenderer=new e;function t(n){return Ro.getStretch(n)}i.getStretch=t;function r(n,s){Ro.setStretch(n,s)}i.setStretch=r})(lu||(lu={}));(function(i){function e(t){return t.layout||new Ro({renderer:t.renderer||lu.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing})}i.createLayout=e})(lI||(lI={}));jg=class extends lu{constructor(e={}){super({...e,layout:cI.createLayout(e)}),this._widgetSizesCache=new WeakMap,this._expansionToggled=new Me(this),this.addClass("lm-AccordionPanel")}get renderer(){return this.layout.renderer}get titleSpace(){return this.layout.titleSpace}set titleSpace(e){this.layout.titleSpace=e}get titles(){return this.layout.titles}get expansionToggled(){return this._expansionToggled}addWidget(e){super.addWidget(e),e.title.changed.connect(this._onTitleChanged,this)}collapse(e){let t=this.layout.widgets[e];t&&!t.isHidden&&this._toggleExpansion(e)}expand(e){let t=this.layout.widgets[e];t&&t.isHidden&&this._toggleExpansion(e)}insertWidget(e,t){super.insertWidget(e,t),t.title.changed.connect(this._onTitleChanged,this)}handleEvent(e){switch(super.handleEvent(e),e.type){case"click":this._evtClick(e);break;case"keydown":this._eventKeyDown(e);break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),super.onBeforeAttach(e)}onAfterDetach(e){super.onAfterDetach(e),this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this)}_onTitleChanged(e){let t=z.findFirstIndex(this.widgets,r=>r.contains(e.owner));t>=0&&(this.layout.updateTitle(t,e.owner),this.update())}_computeWidgetSize(e){let t=this.layout,r=t.widgets[e];if(!r)return;let n=r.isHidden,s=t.absoluteSizes(),o=(n?-1:1)*this.spacing,a=s.reduce((c,u)=>c+u),l=[...s];if(n){let c=this._widgetSizesCache.get(r);if(!c)return;l[e]+=c;let u=l.map(d=>d-c>0).lastIndexOf(!0);u===-1?l.forEach((d,f)=>{f!==e&&(l[f]-=s[f]/a*(c-o))}):l[u]-=c-o}else{let c=s[e];this._widgetSizesCache.set(r,c),l[e]=0;let u=l.map(d=>d>0).lastIndexOf(!0);if(u===-1)return;l[u]=s[u]+c+o}return l.map(c=>c/(a+o))}_evtClick(e){let t=e.target;if(t){let r=z.findFirstIndex(this.titles,n=>n.contains(t));r>=0&&(e.preventDefault(),e.stopPropagation(),this._toggleExpansion(r))}}_eventKeyDown(e){if(e.defaultPrevented)return;let t=e.target,r=!1;if(t){let n=z.findFirstIndex(this.titles,s=>s.contains(t));if(n>=0){let s=e.keyCode.toString();if(e.key.match(/Space|Enter/)||s.match(/13|32/))t.click(),r=!0;else if(this.orientation==="horizontal"?e.key.match(/ArrowLeft|ArrowRight/)||s.match(/37|39/):e.key.match(/ArrowUp|ArrowDown/)||s.match(/38|40/)){let o=e.key.match(/ArrowLeft|ArrowUp/)||s.match(/37|38/)?-1:1,a=this.titles.length,l=(n+a+o)%a;this.titles[l].focus(),r=!0}else e.key==="End"||s==="35"?(this.titles[this.titles.length-1].focus(),r=!0):(e.key==="Home"||s==="36")&&(this.titles[0].focus(),r=!0)}r&&e.preventDefault()}}_toggleExpansion(e){let t=this.titles[e],r=this.layout.widgets[e],n=this._computeWidgetSize(e);n&&this.setRelativeSizes(n,!1),r.isHidden?(t.classList.add("lm-mod-expanded"),t.setAttribute("aria-expanded","true"),r.show()):(t.classList.remove("lm-mod-expanded"),t.setAttribute("aria-expanded","false"),r.hide()),this._expansionToggled.emit(e)}};(function(i){class e extends lu.Renderer{constructor(){super(),this.titleClassName="lm-AccordionPanel-title",this._titleID=0,this._titleKeys=new WeakMap,this._uuid=++e._nInstance}createCollapseIcon(r){return document.createElement("span")}createSectionTitle(r){let n=document.createElement("h3");n.setAttribute("tabindex","0"),n.id=this.createTitleKey(r),n.className=this.titleClassName;for(let a in r.dataset)n.dataset[a]=r.dataset[a];let s=n.appendChild(this.createCollapseIcon(r));s.className="lm-AccordionPanel-titleCollapser";let o=n.appendChild(document.createElement("span"));return o.className="lm-AccordionPanel-titleLabel",o.textContent=r.label,o.title=r.caption||r.label,n}createTitleKey(r){let n=this._titleKeys.get(r);return n===void 0&&(n=`title-key-${this._uuid}-${this._titleID++}`,this._titleKeys.set(r,n)),n}}e._nInstance=0,i.Renderer=e,i.defaultRenderer=new e})(jg||(jg={}));(function(i){function e(t){return t.layout||new oI({renderer:t.renderer||jg.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing,titleSpace:t.titleSpace})}i.createLayout=e})(cI||(cI={}));cs=class extends fm{constructor(e={}){super(),this._fixed=0,this._spacing=4,this._dirty=!1,this._sizers=[],this._items=[],this._box=null,this._alignment="start",this._direction="top-to-bottom",e.direction!==void 0&&(this._direction=e.direction),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=Bg.clampDimension(e.spacing))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,super.dispose()}get direction(){return this._direction}set direction(e){this._direction!==e&&(this._direction=e,this.parent&&(this.parent.dataset.direction=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=Bg.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}init(){this.parent.dataset.direction=this.direction,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){z.insert(this._items,e,new au(t)),z.insert(this._sizers,e,new ga),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){z.move(this._items,e,t),z.move(this._sizers,e,t),this.parent.update()}detachWidget(e,t){let r=z.removeAt(this._items,e);z.removeAt(this._sizers,e),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&Ne.sendMessage(t,pe.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){let e=0;for(let a=0,l=this._items.length;a0)switch(this._alignment){case"start":break;case"center":c=0,u=l/2;break;case"end":c=0,u=l;break;case"justify":c=l/r,u=0;break;default:throw"unreachable"}for(let d=0,f=this._items.length;d0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r}),i.sizeBasisProperty=new ht({name:"sizeBasis",create:()=>0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r});function e(n){return n==="left-to-right"||n==="right-to-left"}i.isHorizontal=e;function t(n){return Math.max(0,Math.floor(n))}i.clampSpacing=t;function r(n){n.parent&&n.parent.layout instanceof cs&&n.parent.fit()}})(ou||(ou={}));gx=class extends px{constructor(e={}){super({layout:dI.createLayout(e)}),this.addClass("lm-BoxPanel")}get direction(){return this.layout.direction}set direction(e){this.layout.direction=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}onChildAdded(e){e.child.addClass("lm-BoxPanel-child")}onChildRemoved(e){e.child.removeClass("lm-BoxPanel-child")}};(function(i){function e(s){return cs.getStretch(s)}i.getStretch=e;function t(s,o){cs.setStretch(s,o)}i.setStretch=t;function r(s){return cs.getSizeBasis(s)}i.getSizeBasis=r;function n(s,o){cs.setSizeBasis(s,o)}i.setSizeBasis=n})(gx||(gx={}));(function(i){function e(t){return t.layout||new cs(t)}i.createLayout=e})(dI||(dI={}));mm=class extends pe{constructor(e){super({node:bl.createNode()}),this._activeIndex=-1,this._items=[],this._results=null,this.addClass("lm-CommandPalette"),this.setFlag(pe.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||mm.defaultRenderer,this.commands.commandChanged.connect(this._onGenericChange,this),this.commands.keyBindingChanged.connect(this._onGenericChange,this)}dispose(){this._items.length=0,this._results=null,super.dispose()}get searchNode(){return this.node.getElementsByClassName("lm-CommandPalette-search")[0]}get inputNode(){return this.node.getElementsByClassName("lm-CommandPalette-input")[0]}get contentNode(){return this.node.getElementsByClassName("lm-CommandPalette-content")[0]}get items(){return this._items}addItem(e){let t=bl.createItem(this.commands,e);return this._items.push(t),this.refresh(),t}addItems(e){let t=e.map(r=>bl.createItem(this.commands,r));return t.forEach(r=>this._items.push(r)),this.refresh(),t}removeItem(e){this.removeItemAt(this._items.indexOf(e))}removeItemAt(e){z.removeAt(this._items,e)&&this.refresh()}clearItems(){this._items.length!==0&&(this._items.length=0,this.refresh())}refresh(){if(this._results=null,this.inputNode.value!==""){let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="inherit"}else{let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="none"}this.update()}handleEvent(e){switch(e.type){case"click":this._evtClick(e);break;case"keydown":this._evtKeyDown(e);break;case"input":this.refresh();break;case"focus":case"blur":this._toggleFocused();break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),this.node.addEventListener("input",this),this.node.addEventListener("focus",this,!0),this.node.addEventListener("blur",this,!0)}onAfterDetach(e){this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this),this.node.removeEventListener("input",this),this.node.removeEventListener("focus",this,!0),this.node.removeEventListener("blur",this,!0)}onAfterShow(e){this.update(),super.onAfterShow(e)}onActivateRequest(e){if(this.isAttached){let t=this.inputNode;t.focus(),t.select()}}onUpdateRequest(e){if(!this.isVisible){Ht.render(null,this.contentNode);return}let t=this.inputNode.value,r=this.contentNode,n=this._results;if(n||(n=this._results=bl.search(this._items,t),this._activeIndex=t?z.findFirstIndex(n,bl.canActivate):-1),!t&&n.length===0){Ht.render(null,r);return}if(t&&n.length===0){let l=this.renderer.renderEmptyMessage({query:t});Ht.render(l,r);return}let s=this.renderer,o=this._activeIndex,a=new Array(n.length);for(let l=0,c=n.length;l=n.length)r.scrollTop=0;else{let l=r.children[o];Ce.scrollIntoViewIfNeeded(r,l)}}_evtClick(e){if(e.button!==0)return;if(e.target.classList.contains("lm-close-icon")){this.inputNode.value="",this.refresh();return}let t=z.findFirstIndex(this.contentNode.children,r=>r.contains(e.target));t!==-1&&(e.preventDefault(),e.stopPropagation(),this._execute(t))}_evtKeyDown(e){if(!(e.altKey||e.ctrlKey||e.metaKey||e.shiftKey))switch(e.keyCode){case 13:e.preventDefault(),e.stopPropagation(),this._execute(this._activeIndex);break;case 38:e.preventDefault(),e.stopPropagation(),this._activatePreviousItem();break;case 40:e.preventDefault(),e.stopPropagation(),this._activateNextItem();break}}_activateNextItem(){if(!this._results||this._results.length===0)return;let e=this._activeIndex,t=this._results.length,r=eM-N),b=y.slice(0,C),k=y.slice(C);for(let M=0,N=k.length;Mp.command===h&&yl.JSONExt.deepEqual(p.args,m))||null}}})(bl||(bl={}));_a=class extends pe{constructor(e){super({node:Cn.createNode()}),this._childIndex=-1,this._activeIndex=-1,this._openTimerID=0,this._closeTimerID=0,this._items=[],this._childMenu=null,this._parentMenu=null,this._aboutToClose=new Me(this),this._menuRequested=new Me(this),this.addClass("lm-Menu"),this.setFlag(pe.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||_a.defaultRenderer}dispose(){this.close(),this._items.length=0,super.dispose()}get aboutToClose(){return this._aboutToClose}get menuRequested(){return this._menuRequested}get parentMenu(){return this._parentMenu}get childMenu(){return this._childMenu}get rootMenu(){let e=this;for(;e._parentMenu;)e=e._parentMenu;return e}get leafMenu(){let e=this;for(;e._childMenu;)e=e._childMenu;return e}get contentNode(){return this.node.getElementsByClassName("lm-Menu-content")[0]}get activeItem(){return this._items[this._activeIndex]||null}set activeItem(e){this.activeIndex=e?this._items.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._items.length)&&(e=-1),e!==-1&&!Cn.canActivate(this._items[e])&&(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this._activeIndex>=0&&this.contentNode.childNodes[this._activeIndex]&&this.contentNode.childNodes[this._activeIndex].focus(),this.update())}get items(){return this._items}activateNextItem(){let e=this._items.length,t=this._activeIndex,r=t{this.activeIndex=a}})}Ht.render(o,this.contentNode)}onCloseRequest(e){this._cancelOpenTimer(),this._cancelCloseTimer(),this.activeIndex=-1;let t=this._childMenu;t&&(this._childIndex=-1,this._childMenu=null,t._parentMenu=null,t.close());let r=this._parentMenu;r&&(this._parentMenu=null,r._childIndex=-1,r._childMenu=null,r.activate()),this.isAttached&&this._aboutToClose.emit(void 0),super.onCloseRequest(e)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation();let t=e.keyCode;if(t===13){this.triggerActiveItem();return}if(t===27){this.close();return}if(t===37){this._parentMenu?this.close():this._menuRequested.emit("previous");return}if(t===38){this.activatePreviousItem();return}if(t===39){let o=this.activeItem;o&&o.type==="submenu"?this.triggerActiveItem():this.rootMenu._menuRequested.emit("next");return}if(t===40){this.activateNextItem();return}let r=Ns().keyForKeydownEvent(e);if(!r)return;let n=this._activeIndex+1,s=Cn.findMnemonic(this._items,r,n);s.index!==-1&&!s.multiple?(this.activeIndex=s.index,this.triggerActiveItem()):s.index!==-1?this.activeIndex=s.index:s.auto!==-1&&(this.activeIndex=s.auto)}_evtMouseUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this.triggerActiveItem())}_evtMouseMove(e){let t=z.findFirstIndex(this.contentNode.children,n=>Ce.hitTest(n,e.clientX,e.clientY));if(t===this._activeIndex)return;if(this.activeIndex=t,t=this.activeIndex,t===this._childIndex){this._cancelOpenTimer(),this._cancelCloseTimer();return}this._childIndex!==-1&&this._startCloseTimer(),this._cancelOpenTimer();let r=this.activeItem;!r||r.type!=="submenu"||!r.submenu||this._startOpenTimer()}_evtMouseEnter(e){for(let t=this._parentMenu;t;t=t._parentMenu)t._cancelOpenTimer(),t._cancelCloseTimer(),t.activeIndex=t._childIndex}_evtMouseLeave(e){if(this._cancelOpenTimer(),!this._childMenu){this.activeIndex=-1;return}let{clientX:t,clientY:r}=e;if(Ce.hitTest(this._childMenu.node,t,r)){this._cancelCloseTimer();return}this.activeIndex=-1,this._startCloseTimer()}_evtMouseDown(e){this._parentMenu||(Cn.hitTestMenus(this,e.clientX,e.clientY)?(e.preventDefault(),e.stopPropagation()):this.close())}_openChildMenu(e=!1){let t=this.activeItem;if(!t||t.type!=="submenu"||!t.submenu){this._closeChildMenu();return}let r=t.submenu;if(r===this._childMenu)return;_a.saveWindowData(),this._closeChildMenu(),this._childMenu=r,this._childIndex=this._activeIndex,r._parentMenu=this,Ne.sendMessage(this,pe.Msg.UpdateRequest);let n=this.contentNode.children[this._activeIndex];Cn.openSubmenu(r,n),e&&(r.activeIndex=-1,r.activateNextItem()),r.activate()}_closeChildMenu(){this._childMenu&&this._childMenu.close()}_startOpenTimer(){this._openTimerID===0&&(this._openTimerID=window.setTimeout(()=>{this._openTimerID=0,this._openChildMenu()},Cn.TIMER_DELAY))}_startCloseTimer(){this._closeTimerID===0&&(this._closeTimerID=window.setTimeout(()=>{this._closeTimerID=0,this._closeChildMenu()},Cn.TIMER_DELAY))}_cancelOpenTimer(){this._openTimerID!==0&&(clearTimeout(this._openTimerID),this._openTimerID=0)}_cancelCloseTimer(){this._closeTimerID!==0&&(clearTimeout(this._closeTimerID),this._closeTimerID=0)}static saveWindowData(){Cn.saveWindowData()}};(function(i){class e{renderItem(r){let n=this.createItemClass(r),s=this.createItemDataset(r),o=this.createItemARIA(r);return ye.li({className:n,dataset:s,tabindex:"0",onfocus:r.onfocus,...o},this.renderIcon(r),this.renderLabel(r),this.renderShortcut(r),this.renderSubmenu(r))}renderIcon(r){let n=this.createIconClass(r);return ye.div({className:n},r.item.icon,r.item.iconLabel)}renderLabel(r){let n=this.formatLabel(r);return ye.div({className:"lm-Menu-itemLabel"},n)}renderShortcut(r){let n=this.formatShortcut(r);return ye.div({className:"lm-Menu-itemShortcut"},n)}renderSubmenu(r){return ye.div({className:"lm-Menu-itemSubmenuIcon"})}createItemClass(r){let n="lm-Menu-item";r.item.isEnabled||(n+=" lm-mod-disabled"),r.item.isToggled&&(n+=" lm-mod-toggled"),r.item.isVisible||(n+=" lm-mod-hidden"),r.active&&(n+=" lm-mod-active"),r.collapsed&&(n+=" lm-mod-collapsed");let s=r.item.className;return s&&(n+=` ${s}`),n}createItemDataset(r){let n,{type:s,command:o,dataset:a}=r.item;return s==="command"?n={...a,type:s,command:o}:n={...a,type:s},n}createIconClass(r){let n="lm-Menu-itemIcon",s=r.item.iconClass;return s?`${n} ${s}`:n}createItemARIA(r){let n={};switch(r.item.type){case"separator":n.role="presentation";break;case"submenu":n["aria-haspopup"]="true",r.item.isEnabled||(n["aria-disabled"]="true");break;default:r.item.isEnabled||(n["aria-disabled"]="true"),r.item.isToggled?(n.role="menuitemcheckbox",n["aria-checked"]="true"):n.role="menuitem"}return n}formatLabel(r){let{label:n,mnemonic:s}=r.item;if(s<0||s>=n.length)return n;let o=n.slice(0,s),a=n.slice(s+1),l=n[s],c=ye.span({className:"lm-Menu-itemMnemonic"},l);return[o,c,a]}formatShortcut(r){let n=r.item.keyBinding;return n?Qr.formatKeystroke(n.keys):null}}i.Renderer=e,i.defaultRenderer=new e})(_a||(_a={}));(function(i){i.TIMER_DELAY=300,i.SUBMENU_OVERLAP=3;let e=null,t=0;function r(){return t>0?(t--,e):u()}function n(){e=u(),t++}i.saveWindowData=n;function s(){let p=document.createElement("div"),_=document.createElement("ul");return _.className="lm-Menu-content",p.appendChild(_),_.setAttribute("role","menu"),p.tabIndex=0,p}i.createNode=s;function o(p){return p.type!=="separator"&&p.isEnabled&&p.isVisible}i.canActivate=o;function a(p,_){return new m(p.commands,_)}i.createItem=a;function l(p,_,x){for(let y=p;y;y=y.childMenu)if(Ce.hitTest(y.node,_,x))return!0;return!1}i.hitTestMenus=l;function c(p){let _=new Array(p.length);z.fill(_,!1);let x=0,y=p.length;for(;x=0;--S){let C=p[S];if(C.isVisible){if(C.type!=="separator")break;_[S]=!0}}let I=!1;for(;++xM+P&&(_=M+P-Y),!S&&x+te>N+W&&(x>N+W?x=N+W-te:x=x-te),fe.transform=`translate(${Math.max(0,_)}px, ${Math.max(0,x)}px`,fe.opacity="1"}i.openRootMenu=d;function f(p,_){let x=r(),y=x.pageXOffset,S=x.pageYOffset,I=x.clientWidth,C=x.clientHeight;Ne.sendMessage(p,pe.Msg.UpdateRequest);let b=C,k=p.node,M=k.style;M.opacity="0",M.maxHeight=`${b}px`,pe.attach(p,document.body);let{width:N,height:P}=k.getBoundingClientRect(),W=Ce.boxSizing(p.node),ee=_.getBoundingClientRect(),be=ee.right-i.SUBMENU_OVERLAP;be+N>y+I&&(be=ee.left+i.SUBMENU_OVERLAP-N);let fe=ee.top-W.borderTop-W.paddingTop;fe+P>S+C&&(fe=ee.bottom+W.borderBottom+W.paddingBottom-P),M.transform=`translate(${Math.max(0,be)}px, ${Math.max(0,fe)}px`,M.opacity="1"}i.openSubmenu=f;function h(p,_,x){let y=-1,S=-1,I=!1,C=_.toUpperCase();for(let b=0,k=p.length;b=0&&Wy.command===_&&yl.JSONExt.deepEqual(y.args,x))||null}return null}}})(Cn||(Cn={}));(function(i){function e(o,a){let l=r(o.selector),c=o.rank!==void 0?o.rank:1/0;return{...o,selector:l,rank:c,id:a}}i.createItem=e;function t(o,a,l,c){let u=a.target;if(!u)return null;let d=a.currentTarget;if(!d||!d.contains(u)&&(u=document.elementFromPoint(a.clientX,a.clientY),!u||!d.contains(u)))return null;let f=[],h=o.slice();for(;u!==null;){let m=[];for(let 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e=this.currentIndex,t=this.currentTitle;this._currentIndex=-1,this._previousTitle=null,this._titles.length=0,this.update(),e!==-1&&this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}releaseMouse(){this._releaseMouse()}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"dblclick":this._evtDblClick(e);break;case"keydown":e.eventPhase===Event.CAPTURING_PHASE?this._evtKeyDownCapturing(e):this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this),this.node.addEventListener("dblclick",this),this.node.addEventListener("keydown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this.node.removeEventListener("dblclick",this),this.node.removeEventListener("keydown",this),this._releaseMouse()}onUpdateRequest(e){var t;let r=this._titles,n=this.renderer,s=this.currentTitle,o=new Array(r.length),a=(t=this._getCurrentTabindex())!==null&&t!==void 0?t:this._currentIndex>-1?this._currentIndex:0;for(let l=0,c=r.length;lCe.hitTest(o,e.clientX,e.clientY));if(r===-1)return;let n=this.titles[r],s=t[r].querySelector(".lm-TabBar-tabLabel");if(s&&s.contains(e.target)){let o=n.label||"",a=s.innerHTML;s.innerHTML="";let l=document.createElement("input");l.classList.add("lm-TabBar-tabInput"),l.value=o,s.appendChild(l);let c=()=>{l.removeEventListener("blur",c),s.innerHTML=a,this.node.addEventListener("keydown",this)};l.addEventListener("dblclick",u=>u.stopPropagation()),l.addEventListener("blur",c),l.addEventListener("keydown",u=>{u.key==="Enter"?(l.value!==""&&(n.label=n.caption=l.value),c()):u.key==="Escape"&&c()}),this.node.removeEventListener("keydown",this),l.select(),l.focus(),s.children.length>0&&s.children[0].focus()}}_evtKeyDownCapturing(e){e.eventPhase===Event.CAPTURING_PHASE&&(e.preventDefault(),e.stopPropagation(),e.key==="Escape"&&this._releaseMouse())}_evtKeyDown(e){var t,r,n;if(!(e.key==="Tab"||e.eventPhase===Event.CAPTURING_PHASE)){if(e.key==="Enter"||e.key==="Spacebar"||e.key===" "){let s=document.activeElement;if(this.addButtonEnabled&&this.addButtonNode.contains(s))e.preventDefault(),e.stopPropagation(),this._addRequested.emit();else{let o=z.findFirstIndex(this.contentNode.children,a=>a.contains(s));o>=0&&(e.preventDefault(),e.stopPropagation(),this.currentIndex=o)}}else if(bZ.includes(e.key)){let s=[...this.contentNode.children];if(this.addButtonEnabled&&s.push(this.addButtonNode),s.length<=1)return;e.preventDefault(),e.stopPropagation();let o=s.indexOf(document.activeElement);o===-1&&(o=this._currentIndex);let a;e.key==="ArrowRight"&&this._orientation==="horizontal"||e.key==="ArrowDown"&&this._orientation==="vertical"?a=(t=s[o+1])!==null&&t!==void 0?t:s[0]:e.key==="ArrowLeft"&&this._orientation==="horizontal"||e.key==="ArrowUp"&&this._orientation==="vertical"?a=(r=s[o-1])!==null&&r!==void 0?r:s[s.length-1]:e.key==="Home"?a=s[0]:e.key==="End"&&(a=s[s.length-1]),a&&((n=s[o])===null||n===void 0||n.setAttribute("tabindex","-1"),a?.setAttribute("tabindex","0"),a.focus())}}}_evtPointerDown(e){if(e.button!==0&&e.button!==1||this._dragData||e.target.classList.contains("lm-TabBar-tabInput"))return;let t=this.addButtonEnabled&&this.addButtonNode.contains(e.target),r=this.contentNode.children,n=z.findFirstIndex(r,o=>Ce.hitTest(o,e.clientX,e.clientY));if(n===-1&&!t||(e.preventDefault(),e.stopPropagation(),this._dragData={tab:r[n],index:n,pressX:e.clientX,pressY:e.clientY,tabPos:-1,tabSize:-1,tabPressPos:-1,targetIndex:-1,tabLayout:null,contentRect:null,override:null,dragActive:!1,dragAborted:!1,detachRequested:!1},this.document.addEventListener("pointerup",this,!0),e.button===1||t))return;let s=r[n].querySelector(this.renderer.closeIconSelector);s&&s.contains(e.target)||(this.tabsMovable&&(this.document.addEventListener("pointermove",this,!0),this.document.addEventListener("keydown",this,!0),this.document.addEventListener("contextmenu",this,!0)),this.allowDeselect&&this.currentIndex===n?this.currentIndex=-1:this.currentIndex=n,this.currentIndex!==-1&&this._tabActivateRequested.emit({index:this.currentIndex,title:this.currentTitle}))}_evtPointerMove(e){let t=this._dragData;if(!t)return;e.preventDefault(),e.stopPropagation();let r=this.contentNode.children;if(!(!t.dragActive&&!Ks.dragExceeded(t,e))){if(!t.dragActive){let n=t.tab.getBoundingClientRect();this._orientation==="horizontal"?(t.tabPos=t.tab.offsetLeft,t.tabSize=n.width,t.tabPressPos=t.pressX-n.left):(t.tabPos=t.tab.offsetTop,t.tabSize=n.height,t.tabPressPos=t.pressY-n.top),t.tabPressOffset={x:t.pressX-n.left,y:t.pressY-n.top},t.tabLayout=Ks.snapTabLayout(r,this._orientation),t.contentRect=this.contentNode.getBoundingClientRect(),t.override=cr.overrideCursor("default"),t.tab.classList.add("lm-mod-dragging"),this.addClass("lm-mod-dragging"),t.dragActive=!0}if(!t.detachRequested&&Ks.detachExceeded(t,e)){t.detachRequested=!0;let n=t.index,s=e.clientX,o=e.clientY,a=r[n],l=this._titles[n];if(this._tabDetachRequested.emit({index:n,title:l,tab:a,clientX:s,clientY:o,offset:t.tabPressOffset}),t.dragAborted)return}Ks.layoutTabs(r,t,e,this._orientation)}}_evtPointerUp(e){if(e.button!==0&&e.button!==1)return;let t=this._dragData;if(!t)return;if(e.preventDefault(),e.stopPropagation(),this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),!t.dragActive){if(this._dragData=null,this.addButtonEnabled&&this.addButtonNode.contains(e.target)){this._addRequested.emit(void 0);return}let s=this.contentNode.children,o=z.findFirstIndex(s,c=>Ce.hitTest(c,e.clientX,e.clientY));if(o!==t.index)return;let a=this._titles[o];if(!a.closable)return;if(e.button===1){this._tabCloseRequested.emit({index:o,title:a});return}let l=s[o].querySelector(this.renderer.closeIconSelector);if(l&&l.contains(e.target)){this._tabCloseRequested.emit({index:o,title:a});return}return}if(e.button!==0)return;Ks.finalizeTabPosition(t,this._orientation),t.tab.classList.remove("lm-mod-dragging");let r=Ks.parseTransitionDuration(t.tab);setTimeout(()=>{if(t.dragAborted)return;this._dragData=null,Ks.resetTabPositions(this.contentNode.children,this._orientation),t.override.dispose(),this.removeClass("lm-mod-dragging");let n=t.index,s=t.targetIndex;s===-1||n===s||(z.move(this._titles,n,s),this._adjustCurrentForMove(n,s),this._tabMoved.emit({fromIndex:n,toIndex:s,title:this._titles[s]}),Ne.sendMessage(this,pe.Msg.UpdateRequest))},r)}_releaseMouse(){let e=this._dragData;e&&(this._dragData=null,this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),e.dragAborted=!0,e.dragActive&&(Ks.resetTabPositions(this.contentNode.children,this._orientation),e.override.dispose(),e.tab.classList.remove("lm-mod-dragging"),this.removeClass("lm-mod-dragging")))}_adjustCurrentForInsert(e,t){let r=this.currentTitle,n=this._currentIndex,s=this.insertBehavior;if(s==="select-tab"||s==="select-tab-if-needed"&&n===-1){this._currentIndex=e,this._previousTitle=r,this._currentChanged.emit({previousIndex:n,previousTitle:r,currentIndex:e,currentTitle:t});return}n>=e&&this._currentIndex++}_adjustCurrentForMove(e,t){this._currentIndex===e?this._currentIndex=t:this._currentIndex=t?this._currentIndex++:this._currentIndex>e&&this._currentIndex<=t&&this._currentIndex--}_adjustCurrentForRemove(e,t){let r=this._currentIndex,n=this.removeBehavior;if(r!==e){r>e&&this._currentIndex--;return}if(this._titles.length===0){this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null});return}if(n==="select-tab-after"){this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-tab-before"){this._currentIndex=Math.max(0,e-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-previous-tab"){this._previousTitle?(this._currentIndex=this._titles.indexOf(this._previousTitle),this._previousTitle=null):this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}_onTitleChanged(e){this.update()}};(function(i){class e{constructor(){this.closeIconSelector=".lm-TabBar-tabCloseIcon",this._tabID=0,this._tabKeys=new WeakMap,this._uuid=++e._nInstance}renderTab(r){let n=r.title.caption,s=this.createTabKey(r),o=s,a=this.createTabStyle(r),l=this.createTabClass(r),c=this.createTabDataset(r),u=this.createTabARIA(r);return r.title.closable?ye.li({id:o,key:s,className:l,title:n,style:a,dataset:c,...u},this.renderIcon(r),this.renderLabel(r),this.renderCloseIcon(r)):ye.li({id:o,key:s,className:l,title:n,style:a,dataset:c,...u},this.renderIcon(r),this.renderLabel(r))}renderIcon(r){let{title:n}=r,s=this.createIconClass(r);return ye.div({className:s},n.icon,n.iconLabel)}renderLabel(r){return ye.div({className:"lm-TabBar-tabLabel"},r.title.label)}renderCloseIcon(r){return ye.div({className:"lm-TabBar-tabCloseIcon"})}createTabKey(r){let n=this._tabKeys.get(r.title);return n===void 0&&(n=`tab-key-${this._uuid}-${this._tabID++}`,this._tabKeys.set(r.title,n)),n}createTabStyle(r){return{zIndex:`${r.zIndex}`}}createTabClass(r){let n="lm-TabBar-tab";return r.title.className&&(n+=` ${r.title.className}`),r.title.closable&&(n+=" lm-mod-closable"),r.current&&(n+=" lm-mod-current"),n}createTabDataset(r){return r.title.dataset}createTabARIA(r){var n;return{role:"tab","aria-selected":r.current.toString(),tabindex:`${(n=r.tabIndex)!==null&&n!==void 0?n:"-1"}`}}createIconClass(r){let n="lm-TabBar-tabIcon",s=r.title.iconClass;return s?`${n} ${s}`:n}}e._nInstance=0,i.Renderer=e,i.defaultRenderer=new e,i.addButtonSelector=".lm-TabBar-addButton"})(Dc||(Dc={}));(function(i){i.DRAG_THRESHOLD=5,i.DETACH_THRESHOLD=20;function e(){let u=document.createElement("div"),d=document.createElement("ul");d.setAttribute("role","tablist"),d.className="lm-TabBar-content",u.appendChild(d);let f=document.createElement("div");return f.className="lm-TabBar-addButton lm-mod-hidden",f.setAttribute("tabindex","-1"),f.setAttribute("role","button"),u.appendChild(f),u}i.createNode=e;function t(u){return u instanceof zg?u:new zg(u)}i.asTitle=t;function r(u){let d=window.getComputedStyle(u);return 1e3*(parseFloat(d.transitionDuration)||0)}i.parseTransitionDuration=r;function n(u,d){let f=new Array(u.length);for(let h=0,m=u.length;h=i.DRAG_THRESHOLD||h>=i.DRAG_THRESHOLD}i.dragExceeded=s;function o(u,d){let f=u.contentRect;return d.clientX=f.right+i.DETACH_THRESHOLD||d.clientY=f.bottom+i.DETACH_THRESHOLD}i.detachExceeded=o;function a(u,d,f,h){let m,p,_,x;h==="horizontal"?(m=d.pressX,p=f.clientX-d.contentRect.left,_=f.clientX,x=d.contentRect.width):(m=d.pressY,p=f.clientY-d.contentRect.top,_=f.clientY,x=d.contentRect.height);let y=d.index,S=p-d.tabPressPos,I=S+d.tabSize;for(let C=0,b=u.length;C>1);if(Cd.index&&I>N)k=`${-d.tabSize-M.margin}px`,y=Math.max(y,C);else if(C===d.index){let P=_-m,W=x-(d.tabPos+d.tabSize);k=`${Math.max(-d.tabPos,Math.min(P,W))}px`}else k="";h==="horizontal"?u[C].style.left=k:u[C].style.top=k}d.targetIndex=y}i.layoutTabs=a;function l(u,d){let f;d==="horizontal"?f=u.contentRect.width:f=u.contentRect.height;let h;if(u.targetIndex===u.index)h=0;else if(u.targetIndex>u.index){let _=u.tabLayout[u.targetIndex];h=_.pos+_.size-u.tabSize-u.tabPos}else h=u.tabLayout[u.targetIndex].pos-u.tabPos;let m=f-(u.tabPos+u.tabSize),p=Math.max(-u.tabPos,Math.min(h,m));d==="horizontal"?u.tab.style.left=`${p}px`:u.tab.style.top=`${p}px`}i.finalizeTabPosition=l;function c(u,d){for(let f of u)d==="horizontal"?f.style.left="":f.style.top=""}i.resetTabPositions=c})(Ks||(Ks={}));uI=class extends ba{constructor(e){super(),this._spacing=4,this._dirty=!1,this._root=null,this._box=null,this._items=new Map,this.renderer=e.renderer,e.spacing!==void 0&&(this._spacing=Bg.clampDimension(e.spacing)),this._document=e.document||document,this._hiddenMode=e.hiddenMode!==void 0?e.hiddenMode:pe.HiddenMode.Display}dispose(){let e=this[Symbol.iterator]();this._items.forEach(t=>{t.dispose()}),this._box=null,this._root=null,this._items.clear();for(let t of e)t.dispose();super.dispose()}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){if(this._hiddenMode!==e){this._hiddenMode=e;for(let t of this.tabBars())if(t.titles.length>1)for(let r of t.titles)r.owner.hiddenMode=this._hiddenMode}}get spacing(){return this._spacing}set spacing(e){e=Bg.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get isEmpty(){return this._root===null}[Symbol.iterator](){return this._root?this._root.iterAllWidgets():Si()}widgets(){return this._root?this._root.iterUserWidgets():Si()}selectedWidgets(){return this._root?this._root.iterSelectedWidgets():Si()}tabBars(){return this._root?this._root.iterTabBars():Si()}handles(){return this._root?this._root.iterHandles():Si()}moveHandle(e,t,r){let n=e.classList.contains("lm-mod-hidden");if(!this._root||n)return;let s=this._root.findSplitNode(e);if(!s)return;let o;s.node.orientation==="horizontal"?o=t-e.offsetLeft:o=r-e.offsetTop,o!==0&&(s.node.holdSizes(),ls.adjust(s.node.sizers,s.index,o),this.parent&&this.parent.update())}saveLayout(){return this._root?(this._root.holdAllSizes(),{main:this._root.createConfig()}):{main:null}}restoreLayout(e){let t=new Set,r;e.main?r=Yi.normalizeAreaConfig(e.main,t):r=null;let n=this.widgets(),s=this.tabBars(),o=this.handles();this._root=null;for(let a of n)t.has(a)||(a.parent=null);for(let a of s)a.dispose();for(let a of o)a.parentNode&&a.parentNode.removeChild(a);for(let a of t)a.parent=this.parent;r?this._root=Yi.realizeAreaConfig(r,{createTabBar:a=>this._createTabBar(),createHandle:()=>this._createHandle()},this._document):this._root=null,this.parent&&(t.forEach(a=>{this.attachWidget(a)}),this.parent.fit())}addWidget(e,t={}){let r=t.ref||null,n=t.mode||"tab-after",s=null;if(this._root&&r&&(s=this._root.findTabNode(r)),r&&!s)throw new Error("Reference widget is not in the layout.");switch(e.parent=this.parent,n){case"tab-after":this._insertTab(e,r,s,!0);break;case"tab-before":this._insertTab(e,r,s,!1);break;case"split-top":this._insertSplit(e,r,s,"vertical",!1);break;case"split-left":this._insertSplit(e,r,s,"horizontal",!1);break;case"split-right":this._insertSplit(e,r,s,"horizontal",!0);break;case"split-bottom":this._insertSplit(e,r,s,"vertical",!0);break;case"merge-top":this._insertSplit(e,r,s,"vertical",!1,!0);break;case"merge-left":this._insertSplit(e,r,s,"horizontal",!1,!0);break;case"merge-right":this._insertSplit(e,r,s,"horizontal",!0,!0);break;case"merge-bottom":this._insertSplit(e,r,s,"vertical",!0,!0);break}this.parent&&(this.attachWidget(e),this.parent.fit())}removeWidget(e){this._removeWidget(e),this.parent&&(this.detachWidget(e),this.parent.fit())}hitTestTabAreas(e,t){if(!this._root||!this.parent||!this.parent.isVisible)return null;this._box||(this._box=Ce.boxSizing(this.parent.node));let r=this.parent.node.getBoundingClientRect(),n=e-r.left-this._box.borderLeft,s=t-r.top-this._box.borderTop,o=this._root.hitTestTabNodes(n,s);if(!o)return null;let{tabBar:a,top:l,left:c,width:u,height:d}=o,f=this._box.borderLeft+this._box.borderRight,h=this._box.borderTop+this._box.borderBottom,m=r.width-f-(c+u),p=r.height-h-(l+d);return{tabBar:a,x:n,y:s,top:l,left:c,right:m,bottom:p,width:u,height:d}}init(){super.init();for(let e of this)this.attachWidget(e);for(let e of this.handles())this.parent.node.appendChild(e);this.parent.fit()}attachWidget(e){this.parent.node!==e.node.parentNode&&(this._items.set(e,new au(e)),this.parent.isAttached&&Ne.sendMessage(e,pe.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&Ne.sendMessage(e,pe.Msg.AfterAttach))}detachWidget(e){if(this.parent.node!==e.node.parentNode)return;this.parent.isAttached&&Ne.sendMessage(e,pe.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&Ne.sendMessage(e,pe.Msg.AfterDetach);let t=this._items.get(e);t&&(this._items.delete(e),t.dispose())}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_removeWidget(e){if(!this._root)return;let t=this._root.findTabNode(e);if(!t)return;if(Yi.removeAria(e),t.tabBar.titles.length>1){if(t.tabBar.removeTab(e.title),this._hiddenMode===pe.HiddenMode.Scale&&t.tabBar.titles.length==1){let f=t.tabBar.titles[0].owner;f.hiddenMode=pe.HiddenMode.Display}return}if(t.tabBar.dispose(),this._root===t){this._root=null;return}this._root.holdAllSizes();let r=t.parent;t.parent=null;let n=z.removeFirstOf(r.children,t),s=z.removeAt(r.handles,n);if(z.removeAt(r.sizers,n),s.parentNode&&s.parentNode.removeChild(s),r.children.length>1){r.syncHandles();return}let o=r.parent;r.parent=null;let a=r.children[0],l=r.handles[0];if(r.children.length=0,r.handles.length=0,r.sizers.length=0,l.parentNode&&l.parentNode.removeChild(l),this._root===r){a.parent=null,this._root=a;return}let c=o,u=c.children.indexOf(r);if(a instanceof Yi.TabLayoutNode){a.parent=c,c.children[u]=a;return}let d=z.removeAt(c.handles,u);z.removeAt(c.children,u),z.removeAt(c.sizers,u),d.parentNode&&d.parentNode.removeChild(d);for(let f=0,h=a.children.length;f=this._left+this._width||m=this._top+this._height?null:this}createConfig(){let h=this.tabBar.titles.map(p=>p.owner),m=this.tabBar.currentIndex;return{type:"tab-area",widgets:h,currentIndex:m}}holdAllSizes(){}fit(h,m){let p=0,_=0,x=1/0,y=1/0,S=m.get(this.tabBar),I=this.tabBar.currentTitle,C=I?m.get(I.owner):void 0,[b,k]=this.sizers;return S&&S.fit(),C&&C.fit(),S&&!S.isHidden?(p=Math.max(p,S.minWidth),_+=S.minHeight,b.minSize=S.minHeight,b.maxSize=S.maxHeight):(b.minSize=0,b.maxSize=0),C&&!C.isHidden?(p=Math.max(p,C.minWidth),_+=C.minHeight,k.minSize=C.minHeight,k.maxSize=1/0):(k.minSize=0,k.maxSize=1/0),{minWidth:p,minHeight:_,maxWidth:x,maxHeight:y}}update(h,m,p,_,x,y){this._top=m,this._left=h,this._width=p,this._height=_;let S=y.get(this.tabBar),I=this.tabBar.currentTitle,C=I?y.get(I.owner):void 0;if(ls.calc(this.sizers,_),S&&!S.isHidden){let b=this.sizers[0].size;S.update(h,m,p,b),m+=b}if(C&&!C.isHidden){let b=this.sizers[1].size;C.update(h,m,p,b)}}}i.TabLayoutNode=n;class s{constructor(h){this.parent=null,this.normalized=!1,this.children=[],this.sizers=[],this.handles=[],this.orientation=h}*iterAllWidgets(){for(let h of this.children)yield*h.iterAllWidgets()}*iterUserWidgets(){for(let h of this.children)yield*h.iterUserWidgets()}*iterSelectedWidgets(){for(let h of this.children)yield*h.iterSelectedWidgets()}*iterTabBars(){for(let h of this.children)yield*h.iterTabBars()}*iterHandles(){yield*this.handles;for(let h of this.children)yield*h.iterHandles()}findTabNode(h){for(let m=0,p=this.children.length;m_.createConfig());return{type:"split-area",orientation:h,children:p,sizes:m}}syncHandles(){this.handles.forEach((h,m)=>{h.setAttribute("data-orientation",this.orientation),m===this.handles.length-1?h.classList.add("lm-mod-hidden"):h.classList.remove("lm-mod-hidden")})}holdSizes(){for(let h of this.sizers)h.sizeHint=h.size}holdAllSizes(){for(let h of this.children)h.holdAllSizes();this.holdSizes()}normalizeSizes(){let h=this.sizers.length;if(h===0)return;this.holdSizes();let m=this.sizers.reduce((p,_)=>p+_.sizeHint,0);if(m===0)for(let p of this.sizers)p.size=p.sizeHint=1/h;else for(let p of this.sizers)p.size=p.sizeHint/=m;this.normalized=!0}createNormalizedSizes(){let h=this.sizers.length;if(h===0)return[];let m=this.sizers.map(_=>_.size),p=m.reduce((_,x)=>_+x,0);if(p===0)for(let _=m.length-1;_>-1;_--)m[_]=1/h;else for(let _=m.length-1;_>-1;_--)m[_]/=p;return m}fit(h,m){let p=this.orientation==="horizontal",_=Math.max(0,this.children.length-1)*h,x=p?_:0,y=p?0:_,S=1/0,I=1/0;for(let C=0,b=this.children.length;C=m.length)&&(p=0),{type:"tab-area",widgets:m,currentIndex:p}}function c(f,h){let m=f.orientation,p=[],_=[];for(let x=0,y=f.children.length;x{let y=r(_,h,m),S=e(f.sizes[x]),I=h.createHandle();p.children.push(y),p.handles.push(I),p.sizers.push(S),y.parent=p}),p.syncHandles(),p.normalizeSizes(),p}})(Yi||(Yi={}));cu=class extends pe{constructor(e={}){super(),this._drag=null,this._tabsMovable=!0,this._tabsConstrained=!1,this._addButtonEnabled=!1,this._pressData=null,this._layoutModified=new Me(this),this._addRequested=new Me(this),this.addClass("lm-DockPanel"),this._document=e.document||document,this._mode=e.mode||"multiple-document",this._renderer=e.renderer||cu.defaultRenderer,this._edges=e.edges||Hi.DEFAULT_EDGES,e.tabsMovable!==void 0&&(this._tabsMovable=e.tabsMovable),e.tabsConstrained!==void 0&&(this._tabsConstrained=e.tabsConstrained),e.addButtonEnabled!==void 0&&(this._addButtonEnabled=e.addButtonEnabled),this.dataset.mode=this._mode;let t={createTabBar:()=>this._createTabBar(),createHandle:()=>this._createHandle()};this.layout=new uI({document:this._document,renderer:t,spacing:e.spacing,hiddenMode:e.hiddenMode}),this.overlay=e.overlay||new cu.Overlay,this.node.appendChild(this.overlay.node)}dispose(){this._releaseMouse(),this.overlay.hide(0),this._drag&&this._drag.dispose(),super.dispose()}get hiddenMode(){return this.layout.hiddenMode}set hiddenMode(e){this.layout.hiddenMode=e}get layoutModified(){return this._layoutModified}get addRequested(){return this._addRequested}get renderer(){return this.layout.renderer}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get mode(){return this._mode}set mode(e){if(this._mode===e)return;this._mode=e,this.dataset.mode=e;let t=this.layout;switch(e){case"multiple-document":for(let r of t.tabBars())r.show();break;case"single-document":t.restoreLayout(Hi.createSingleDocumentConfig(this));break;default:throw"unreachable"}Ne.postMessage(this,Hi.LayoutModified)}get tabsMovable(){return this._tabsMovable}set tabsMovable(e){this._tabsMovable=e;for(let t of this.tabBars())t.tabsMovable=e}get tabsConstrained(){return this._tabsConstrained}set tabsConstrained(e){this._tabsConstrained=e}get addButtonEnabled(){return this._addButtonEnabled}set addButtonEnabled(e){this._addButtonEnabled=e;for(let t of this.tabBars())t.addButtonEnabled=e}get isEmpty(){return this.layout.isEmpty}*widgets(){yield*this.layout.widgets()}*selectedWidgets(){yield*this.layout.selectedWidgets()}*tabBars(){yield*this.layout.tabBars()}*handles(){yield*this.layout.handles()}selectWidget(e){let t=Ts(this.tabBars(),r=>r.titles.indexOf(e.title)!==-1);if(!t)throw new Error("Widget is not contained in the dock panel.");t.currentTitle=e.title}activateWidget(e){this.selectWidget(e),e.activate()}saveLayout(){return this.layout.saveLayout()}restoreLayout(e){this._mode="multiple-document",this.layout.restoreLayout(e),(Mi.IS_EDGE||Mi.IS_IE)&&Ne.flush(),Ne.postMessage(this,Hi.LayoutModified)}addWidget(e,t={}){this._mode==="single-document"?this.layout.addWidget(e):this.layout.addWidget(e,t),Ne.postMessage(this,Hi.LayoutModified)}processMessage(e){e.type==="layout-modified"?this._layoutModified.emit(void 0):super.processMessage(e)}handleEvent(e){switch(e.type){case"lm-dragenter":this._evtDragEnter(e);break;case"lm-dragleave":this._evtDragLeave(e);break;case"lm-dragover":this._evtDragOver(e);break;case"lm-drop":this._evtDrop(e);break;case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("lm-dragenter",this),this.node.addEventListener("lm-dragleave",this),this.node.addEventListener("lm-dragover",this),this.node.addEventListener("lm-drop",this),this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("lm-dragenter",this),this.node.removeEventListener("lm-dragleave",this),this.node.removeEventListener("lm-dragover",this),this.node.removeEventListener("lm-drop",this),this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){Hi.isGeneratedTabBarProperty.get(e.child)||e.child.addClass("lm-DockPanel-widget")}onChildRemoved(e){Hi.isGeneratedTabBarProperty.get(e.child)||(e.child.removeClass("lm-DockPanel-widget"),Ne.postMessage(this,Hi.LayoutModified))}_evtDragEnter(e){e.mimeData.hasData("application/vnd.lumino.widget-factory")&&(e.preventDefault(),e.stopPropagation())}_evtDragLeave(e){e.preventDefault(),!(this._tabsConstrained&&e.source!==this)&&(e.stopPropagation(),this.overlay.hide(1))}_evtDragOver(e){e.preventDefault(),this._tabsConstrained&&e.source!==this||this._showOverlay(e.clientX,e.clientY)==="invalid"?e.dropAction="none":(e.stopPropagation(),e.dropAction=e.proposedAction)}_evtDrop(e){if(e.preventDefault(),this.overlay.hide(0),e.proposedAction==="none"){e.dropAction="none";return}let{clientX:t,clientY:r}=e,{zone:n,target:s}=Hi.findDropTarget(this,t,r,this._edges);if(this._tabsConstrained&&e.source!==this||n==="invalid"){e.dropAction="none";return}let a=e.mimeData.getData("application/vnd.lumino.widget-factory");if(typeof a!="function"){e.dropAction="none";return}let l=a();if(!(l instanceof pe)){e.dropAction="none";return}if(l.contains(this)){e.dropAction="none";return}let c=s?Hi.getDropRef(s.tabBar):null;switch(n){case"root-all":this.addWidget(l);break;case"root-top":this.addWidget(l,{mode:"split-top"});break;case"root-left":this.addWidget(l,{mode:"split-left"});break;case"root-right":this.addWidget(l,{mode:"split-right"});break;case"root-bottom":this.addWidget(l,{mode:"split-bottom"});break;case"widget-all":this.addWidget(l,{mode:"tab-after",ref:c});break;case"widget-top":this.addWidget(l,{mode:"split-top",ref:c});break;case"widget-left":this.addWidget(l,{mode:"split-left",ref:c});break;case"widget-right":this.addWidget(l,{mode:"split-right",ref:c});break;case"widget-bottom":this.addWidget(l,{mode:"split-bottom",ref:c});break;case"widget-tab":this.addWidget(l,{mode:"tab-after",ref:c});break;default:throw"unreachable"}e.dropAction=e.proposedAction,e.stopPropagation(),this.activateWidget(l)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation(),e.keyCode===27&&(this._releaseMouse(),Ne.postMessage(this,Hi.LayoutModified))}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=e.target,n=Ts(t.handles(),u=>u.contains(r));if(!n)return;e.preventDefault(),e.stopPropagation(),this._document.addEventListener("keydown",this,!0),this._document.addEventListener("pointerup",this,!0),this._document.addEventListener("pointermove",this,!0),this._document.addEventListener("contextmenu",this,!0);let s=n.getBoundingClientRect(),o=e.clientX-s.left,a=e.clientY-s.top,l=window.getComputedStyle(n),c=cr.overrideCursor(l.cursor,this._document);this._pressData={handle:n,deltaX:o,deltaY:a,override:c}}_evtPointerMove(e){if(!this._pressData)return;e.preventDefault(),e.stopPropagation();let t=this.node.getBoundingClientRect(),r=e.clientX-t.left-this._pressData.deltaX,n=e.clientY-t.top-this._pressData.deltaY;this.layout.moveHandle(this._pressData.handle,r,n)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse(),Ne.postMessage(this,Hi.LayoutModified))}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._document.removeEventListener("keydown",this,!0),this._document.removeEventListener("pointerup",this,!0),this._document.removeEventListener("pointermove",this,!0),this._document.removeEventListener("contextmenu",this,!0))}_showOverlay(e,t){let{zone:r,target:n}=Hi.findDropTarget(this,e,t,this._edges);if(r==="invalid")return this.overlay.hide(100),r;let s,o,a,l,c=Ce.boxSizing(this.node),u=this.node.getBoundingClientRect();switch(r){case"root-all":s=c.paddingTop,o=c.paddingLeft,a=c.paddingRight,l=c.paddingBottom;break;case"root-top":s=c.paddingTop,o=c.paddingLeft,a=c.paddingRight,l=u.height*Hi.GOLDEN_RATIO;break;case"root-left":s=c.paddingTop,o=c.paddingLeft,a=u.width*Hi.GOLDEN_RATIO,l=c.paddingBottom;break;case"root-right":s=c.paddingTop,o=u.width*Hi.GOLDEN_RATIO,a=c.paddingRight,l=c.paddingBottom;break;case"root-bottom":s=u.height*Hi.GOLDEN_RATIO,o=c.paddingLeft,a=c.paddingRight,l=c.paddingBottom;break;case"widget-all":s=n.top,o=n.left,a=n.right,l=n.bottom;break;case"widget-top":s=n.top,o=n.left,a=n.right,l=n.bottom+n.height/2;break;case"widget-left":s=n.top,o=n.left,a=n.right+n.width/2,l=n.bottom;break;case"widget-right":s=n.top,o=n.left+n.width/2,a=n.right,l=n.bottom;break;case"widget-bottom":s=n.top+n.height/2,o=n.left,a=n.right,l=n.bottom;break;case"widget-tab":{let d=n.tabBar.node.getBoundingClientRect().height;s=n.top,o=n.left,a=n.right,l=n.bottom+n.height-d;break}default:throw"unreachable"}return this.overlay.show({top:s,left:o,right:a,bottom:l}),r}_createTabBar(){let e=this._renderer.createTabBar(this._document);return Hi.isGeneratedTabBarProperty.set(e,!0),this._mode==="single-document"&&e.hide(),e.tabsMovable=this._tabsMovable,e.allowDeselect=!1,e.addButtonEnabled=this._addButtonEnabled,e.removeBehavior="select-previous-tab",e.insertBehavior="select-tab-if-needed",e.tabMoved.connect(this._onTabMoved,this),e.currentChanged.connect(this._onCurrentChanged,this),e.tabCloseRequested.connect(this._onTabCloseRequested,this),e.tabDetachRequested.connect(this._onTabDetachRequested,this),e.tabActivateRequested.connect(this._onTabActivateRequested,this),e.addRequested.connect(this._onTabAddRequested,this),e}_createHandle(){return this._renderer.createHandle()}_onTabMoved(){Ne.postMessage(this,Hi.LayoutModified)}_onCurrentChanged(e,t){let{previousTitle:r,currentTitle:n}=t;r&&r.owner.hide(),n&&n.owner.show(),(Mi.IS_EDGE||Mi.IS_IE)&&Ne.flush(),Ne.postMessage(this,Hi.LayoutModified)}_onTabAddRequested(e){this._addRequested.emit(e)}_onTabActivateRequested(e,t){t.title.owner.activate()}_onTabCloseRequested(e,t){t.title.owner.close()}_onTabDetachRequested(e,t){if(this._drag)return;e.releaseMouse();let{title:r,tab:n,clientX:s,clientY:o,offset:a}=t,l=new yl.MimeData,c=()=>r.owner;l.setData("application/vnd.lumino.widget-factory",c);let u=n.cloneNode(!0);a&&(u.style.top=`-${a.y}px`,u.style.left=`-${a.x}px`),this._drag=new cr({document:this._document,mimeData:l,dragImage:u,proposedAction:"move",supportedActions:"move",source:this}),n.classList.add("lm-mod-hidden");let d=()=>{this._drag=null,n.classList.remove("lm-mod-hidden")};this._drag.start(s,o).then(d)}};(function(i){class e{constructor(){this._timer=-1,this._hidden=!0,this.node=document.createElement("div"),this.node.classList.add("lm-DockPanel-overlay"),this.node.classList.add("lm-mod-hidden"),this.node.style.position="absolute",this.node.style.contain="strict"}show(n){let s=this.node.style;s.top=`${n.top}px`,s.left=`${n.left}px`,s.right=`${n.right}px`,s.bottom=`${n.bottom}px`,clearTimeout(this._timer),this._timer=-1,this._hidden&&(this._hidden=!1,this.node.classList.remove("lm-mod-hidden"))}hide(n){if(!this._hidden){if(n<=0){clearTimeout(this._timer),this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden");return}this._timer===-1&&(this._timer=window.setTimeout(()=>{this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden")},n))}}}i.Overlay=e;class t{createTabBar(n){let s=new Dc({document:n});return s.addClass("lm-DockPanel-tabBar"),s}createHandle(){let n=document.createElement("div");return n.className="lm-DockPanel-handle",n}}i.Renderer=t,i.defaultRenderer=new t})(cu||(cu={}));(function(i){i.GOLDEN_RATIO=.618,i.DEFAULT_EDGES={top:12,right:40,bottom:40,left:40},i.LayoutModified=new Nc("layout-modified"),i.isGeneratedTabBarProperty=new ht({name:"isGeneratedTabBar",create:()=>!1});function e(n){if(n.isEmpty)return{main:null};let s=Array.from(n.widgets()),o=n.selectedWidgets().next().value,a=o?s.indexOf(o):-1;return{main:{type:"tab-area",widgets:s,currentIndex:a}}}i.createSingleDocumentConfig=e;function t(n,s,o,a){if(!Ce.hitTest(n.node,s,o))return{zone:"invalid",target:null};let l=n.layout;if(l.isEmpty)return{zone:"root-all",target:null};if(n.mode==="multiple-document"){let S=n.node.getBoundingClientRect(),I=s-S.left+1,C=o-S.top+1,b=S.right-s,k=S.bottom-o;switch(Math.min(C,b,k,I)){case C:if(Cp&&f>p&&d>_&&h>_)return{zone:"widget-all",target:c};u/=p,d/=_,f/=p,h/=_;let x=Math.min(u,d,f,h),y;switch(x){case u:y="widget-left";break;case d:y="widget-top";break;case f:y="widget-right";break;case h:y="widget-bottom";break;default:throw"unreachable"}return{zone:y,target:c}}i.findDropTarget=t;function r(n){return n.titles.length===0?null:n.currentTitle?n.currentTitle.owner:n.titles[n.titles.length-1].owner}i.getDropRef=r})(Hi||(Hi={}));xl=class extends ba{constructor(e={}){super(e),this._dirty=!1,this._rowSpacing=4,this._columnSpacing=4,this._items=[],this._rowStarts=[],this._columnStarts=[],this._rowSizers=[new ga],this._columnSizers=[new ga],this._box=null,e.rowCount!==void 0&&xr.reallocSizers(this._rowSizers,e.rowCount),e.columnCount!==void 0&&xr.reallocSizers(this._columnSizers,e.columnCount),e.rowSpacing!==void 0&&(this._rowSpacing=xr.clampValue(e.rowSpacing)),e.columnSpacing!==void 0&&(this._columnSpacing=xr.clampValue(e.columnSpacing))}dispose(){for(let e of this._items){let t=e.widget;e.dispose(),t.dispose()}this._box=null,this._items.length=0,this._rowStarts.length=0,this._rowSizers.length=0,this._columnStarts.length=0,this._columnSizers.length=0,super.dispose()}get rowCount(){return this._rowSizers.length}set rowCount(e){e!==this.rowCount&&(xr.reallocSizers(this._rowSizers,e),this.parent&&this.parent.fit())}get columnCount(){return this._columnSizers.length}set columnCount(e){e!==this.columnCount&&(xr.reallocSizers(this._columnSizers,e),this.parent&&this.parent.fit())}get rowSpacing(){return this._rowSpacing}set rowSpacing(e){e=xr.clampValue(e),this._rowSpacing!==e&&(this._rowSpacing=e,this.parent&&this.parent.fit())}get columnSpacing(){return this._columnSpacing}set columnSpacing(e){e=xr.clampValue(e),this._columnSpacing!==e&&(this._columnSpacing=e,this.parent&&this.parent.fit())}rowStretch(e){let t=this._rowSizers[e];return t?t.stretch:-1}setRowStretch(e,t){let r=this._rowSizers[e];r&&(t=xr.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}columnStretch(e){let t=this._columnSizers[e];return t?t.stretch:-1}setColumnStretch(e,t){let r=this._columnSizers[e];r&&(t=xr.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}*[Symbol.iterator](){for(let e of this._items)yield e.widget}addWidget(e){z.findFirstIndex(this._items,r=>r.widget===e)===-1&&(this._items.push(new au(e)),this.parent&&this.attachWidget(e))}removeWidget(e){let t=z.findFirstIndex(this._items,n=>n.widget===e);if(t===-1)return;let r=z.removeAt(this._items,t);this.parent&&this.detachWidget(e),r.dispose()}init(){super.init();for(let e of 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className(e){this._className!==e&&(this._className=e,this._changed.emit(void 0))}get closable(){return this._closable}set closable(e){this._closable!==e&&(this._closable=e,this._changed.emit(void 0))}get dataset(){return this._dataset}set dataset(e){this._dataset!==e&&(this._dataset=e,this._changed.emit(void 0))}get isDisposed(){return this._isDisposed}dispose(){this.isDisposed||(this._isDisposed=!0,Me.clearData(this))}},ue=class{constructor(e={}){this._flags=0,this._layout=null,this._parent=null,this._disposed=new Me(this),this._hiddenMode=ue.HiddenMode.Display,this.node=Tx.createNode(e),this.addClass("lm-Widget")}dispose(){this.isDisposed||(this.setFlag(ue.Flag.IsDisposed),this._disposed.emit(void 0),this.parent?this.parent=null:this.isAttached&&ue.detach(this),this._layout&&(this._layout.dispose(),this._layout=null),this.title.dispose(),Me.clearData(this),De.clearData(this),ht.clearData(this))}get disposed(){return this._disposed}get isDisposed(){return this.testFlag(ue.Flag.IsDisposed)}get isAttached(){return this.testFlag(ue.Flag.IsAttached)}get isHidden(){return this.testFlag(ue.Flag.IsHidden)}get isVisible(){let e=this;do{if(e.isHidden||!e.isAttached)return!1;e=e.parent}while(e!=null);return!0}get title(){return Tx.titleProperty.get(this)}get id(){return this.node.id}set id(e){this.node.id=e}get dataset(){return this.node.dataset}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){this._hiddenMode!==e&&(this.isHidden&&this._toggleHidden(!1),e==ue.HiddenMode.Scale?this.node.style.willChange="transform":this.node.style.willChange="auto",this._hiddenMode=e,this.isHidden&&this._toggleHidden(!0))}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(e&&this.contains(e))throw new Error("Invalid parent widget.");if(this._parent&&!this._parent.isDisposed){let t=new ue.ChildMessage("child-removed",this);De.sendMessage(this._parent,t)}if(this._parent=e,this._parent&&!this._parent.isDisposed){let t=new ue.ChildMessage("child-added",this);De.sendMessage(this._parent,t)}this.isDisposed||De.sendMessage(this,ue.Msg.ParentChanged)}}get layout(){return this._layout}set layout(e){if(this._layout!==e){if(this.testFlag(ue.Flag.DisallowLayout))throw new Error("Cannot set widget layout.");if(this._layout)throw new Error("Cannot change widget layout.");if(e.parent)throw new Error("Cannot change layout parent.");this._layout=e,e.parent=this}}*children(){this._layout&&(yield*this._layout)}contains(e){for(let t=e;t;t=t._parent)if(t===this)return!0;return!1}hasClass(e){return this.node.classList.contains(e)}addClass(e){this.node.classList.add(e)}removeClass(e){this.node.classList.remove(e)}toggleClass(e,t){return t===!0?(this.node.classList.add(e),!0):t===!1?(this.node.classList.remove(e),!1):this.node.classList.toggle(e)}update(){De.postMessage(this,ue.Msg.UpdateRequest)}fit(){De.postMessage(this,ue.Msg.FitRequest)}activate(){De.postMessage(this,ue.Msg.ActivateRequest)}close(){De.sendMessage(this,ue.Msg.CloseRequest)}show(){if(this.testFlag(ue.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&De.sendMessage(this,ue.Msg.BeforeShow),this.clearFlag(ue.Flag.IsHidden),this._toggleHidden(!1),this.isAttached&&(!this.parent||this.parent.isVisible)&&De.sendMessage(this,ue.Msg.AfterShow),this.parent)){let e=new ue.ChildMessage("child-shown",this);De.sendMessage(this.parent,e)}}hide(){if(!this.testFlag(ue.Flag.IsHidden)&&(this.isAttached&&(!this.parent||this.parent.isVisible)&&De.sendMessage(this,ue.Msg.BeforeHide),this.setFlag(ue.Flag.IsHidden),this._toggleHidden(!0),this.isAttached&&(!this.parent||this.parent.isVisible)&&De.sendMessage(this,ue.Msg.AfterHide),this.parent)){let e=new ue.ChildMessage("child-hidden",this);De.sendMessage(this.parent,e)}}setHidden(e){e?this.hide():this.show()}testFlag(e){return(this._flags&e)!==0}setFlag(e){this._flags|=e}clearFlag(e){this._flags&=~e}processMessage(e){switch(e.type){case"resize":this.notifyLayout(e),this.onResize(e);break;case"update-request":this.notifyLayout(e),this.onUpdateRequest(e);break;case"fit-request":this.notifyLayout(e),this.onFitRequest(e);break;case"before-show":this.notifyLayout(e),this.onBeforeShow(e);break;case"after-show":this.setFlag(ue.Flag.IsVisible),this.notifyLayout(e),this.onAfterShow(e);break;case"before-hide":this.notifyLayout(e),this.onBeforeHide(e);break;case"after-hide":this.clearFlag(ue.Flag.IsVisible),this.notifyLayout(e),this.onAfterHide(e);break;case"before-attach":this.notifyLayout(e),this.onBeforeAttach(e);break;case"after-attach":!this.isHidden&&(!this.parent||this.parent.isVisible)&&this.setFlag(ue.Flag.IsVisible),this.setFlag(ue.Flag.IsAttached),this.notifyLayout(e),this.onAfterAttach(e);break;case"before-detach":this.notifyLayout(e),this.onBeforeDetach(e);break;case"after-detach":this.clearFlag(ue.Flag.IsVisible),this.clearFlag(ue.Flag.IsAttached),this.notifyLayout(e),this.onAfterDetach(e);break;case"activate-request":this.notifyLayout(e),this.onActivateRequest(e);break;case"close-request":this.notifyLayout(e),this.onCloseRequest(e);break;case"child-added":this.notifyLayout(e),this.onChildAdded(e);break;case"child-removed":this.notifyLayout(e),this.onChildRemoved(e);break;default:this.notifyLayout(e);break}}notifyLayout(e){this._layout&&this._layout.processParentMessage(e)}onCloseRequest(e){this.parent?this.parent=null:this.isAttached&&ue.detach(this)}onResize(e){}onUpdateRequest(e){}onFitRequest(e){}onActivateRequest(e){}onBeforeShow(e){}onAfterShow(e){}onBeforeHide(e){}onAfterHide(e){}onBeforeAttach(e){}onAfterAttach(e){}onBeforeDetach(e){}onAfterDetach(e){}onChildAdded(e){}onChildRemoved(e){}_toggleHidden(e){if(e)switch(this._hiddenMode){case ue.HiddenMode.Display:this.addClass("lm-mod-hidden");break;case ue.HiddenMode.Scale:this.node.style.transform="scale(0)",this.node.setAttribute("aria-hidden","true");break;case ue.HiddenMode.ContentVisibility:this.node.style.contentVisibility="hidden",this.node.style.zIndex="-1";break}else switch(this._hiddenMode){case ue.HiddenMode.Display:this.removeClass("lm-mod-hidden");break;case ue.HiddenMode.Scale:this.node.style.transform="",this.node.removeAttribute("aria-hidden");break;case ue.HiddenMode.ContentVisibility:this.node.style.contentVisibility="",this.node.style.zIndex="";break}}};(function(i){(function(s){s[s.Display=0]="Display",s[s.Scale=1]="Scale",s[s.ContentVisibility=2]="ContentVisibility"})(i.HiddenMode||(i.HiddenMode={})),function(s){s[s.IsDisposed=1]="IsDisposed",s[s.IsAttached=2]="IsAttached",s[s.IsHidden=4]="IsHidden",s[s.IsVisible=8]="IsVisible",s[s.DisallowLayout=16]="DisallowLayout"}(i.Flag||(i.Flag={})),function(s){s.BeforeShow=new En("before-show"),s.AfterShow=new En("after-show"),s.BeforeHide=new En("before-hide"),s.AfterHide=new En("after-hide"),s.BeforeAttach=new En("before-attach"),s.AfterAttach=new En("after-attach"),s.BeforeDetach=new En("before-detach"),s.AfterDetach=new En("after-detach"),s.ParentChanged=new En("parent-changed"),s.UpdateRequest=new jc("update-request"),s.FitRequest=new jc("fit-request"),s.ActivateRequest=new jc("activate-request"),s.CloseRequest=new jc("close-request")}(i.Msg||(i.Msg={}));class e extends En{constructor(o,a){super(o),this.child=a}}i.ChildMessage=e;class t extends En{constructor(o,a){super("resize"),this.width=o,this.height=a}}i.ResizeMessage=t,function(s){s.UnknownSize=new s(-1,-1)}(t=i.ResizeMessage||(i.ResizeMessage={}));function r(s,o,a=null){if(s.parent)throw new Error("Cannot attach a child widget.");if(s.isAttached||s.node.isConnected)throw new Error("Widget is already attached.");if(!o.isConnected)throw new Error("Host is not attached.");De.sendMessage(s,i.Msg.BeforeAttach),o.insertBefore(s.node,a),De.sendMessage(s,i.Msg.AfterAttach)}i.attach=r;function n(s){if(s.parent)throw new Error("Cannot detach a child widget.");if(!s.isAttached||!s.node.isConnected)throw new Error("Widget is not attached.");De.sendMessage(s,i.Msg.BeforeDetach),s.node.parentNode.removeChild(s.node),De.sendMessage(s,i.Msg.AfterDetach)}i.detach=n})(ue||(ue={}));(function(i){i.titleProperty=new ht({name:"title",create:t=>new Wg({owner:t})});function e(t){return t.node||document.createElement(t.tag||"div")}i.createNode=e})(Tx||(Tx={}));wa=class{constructor(e={}){this._disposed=!1,this._parent=null,this._fitPolicy=e.fitPolicy||"set-min-size"}dispose(){this._parent=null,this._disposed=!0,Me.clearData(this),ht.clearData(this)}get isDisposed(){return this._disposed}get parent(){return this._parent}set parent(e){if(this._parent!==e){if(this._parent)throw new Error("Cannot change parent widget.");if(e.layout!==this)throw new Error("Invalid parent widget.");this._parent=e,this.init()}}get fitPolicy(){return this._fitPolicy}set fitPolicy(e){if(this._fitPolicy!==e&&(this._fitPolicy=e,this._parent)){let t=this._parent.node.style;t.minWidth="",t.minHeight="",t.maxWidth="",t.maxHeight="",this._parent.fit()}}processParentMessage(e){switch(e.type){case"resize":this.onResize(e);break;case"update-request":this.onUpdateRequest(e);break;case"fit-request":this.onFitRequest(e);break;case"before-show":this.onBeforeShow(e);break;case"after-show":this.onAfterShow(e);break;case"before-hide":this.onBeforeHide(e);break;case"after-hide":this.onAfterHide(e);break;case"before-attach":this.onBeforeAttach(e);break;case"after-attach":this.onAfterAttach(e);break;case"before-detach":this.onBeforeDetach(e);break;case"after-detach":this.onAfterDetach(e);break;case"child-removed":this.onChildRemoved(e);break;case"child-shown":this.onChildShown(e);break;case"child-hidden":this.onChildHidden(e);break}}init(){for(let e of this)e.parent=this.parent}onResize(e){for(let t of this)De.sendMessage(t,ue.ResizeMessage.UnknownSize)}onUpdateRequest(e){for(let t of this)De.sendMessage(t,ue.ResizeMessage.UnknownSize)}onBeforeAttach(e){for(let t of this)De.sendMessage(t,e)}onAfterAttach(e){for(let t of this)De.sendMessage(t,e)}onBeforeDetach(e){for(let t of this)De.sendMessage(t,e)}onAfterDetach(e){for(let t of this)De.sendMessage(t,e)}onBeforeShow(e){for(let t of this)t.isHidden||De.sendMessage(t,e)}onAfterShow(e){for(let t of this)t.isHidden||De.sendMessage(t,e)}onBeforeHide(e){for(let t of this)t.isHidden||De.sendMessage(t,e)}onAfterHide(e){for(let t of this)t.isHidden||De.sendMessage(t,e)}onChildRemoved(e){this.removeWidget(e.child)}onFitRequest(e){}onChildShown(e){}onChildHidden(e){}};(function(i){function e(s){return ym.horizontalAlignmentProperty.get(s)}i.getHorizontalAlignment=e;function t(s,o){ym.horizontalAlignmentProperty.set(s,o)}i.setHorizontalAlignment=t;function r(s){return ym.verticalAlignmentProperty.get(s)}i.getVerticalAlignment=r;function n(s,o){ym.verticalAlignmentProperty.set(s,o)}i.setVerticalAlignment=n})(wa||(wa={}));hu=class{constructor(e){this._top=NaN,this._left=NaN,this._width=NaN,this._height=NaN,this._minWidth=0,this._minHeight=0,this._maxWidth=1/0,this._maxHeight=1/0,this._disposed=!1,this.widget=e,this.widget.node.style.position="absolute",this.widget.node.style.contain="strict"}dispose(){if(this._disposed)return;this._disposed=!0;let e=this.widget.node.style;e.position="",e.top="",e.left="",e.width="",e.height="",e.contain=""}get minWidth(){return this._minWidth}get minHeight(){return this._minHeight}get maxWidth(){return this._maxWidth}get maxHeight(){return this._maxHeight}get isDisposed(){return this._disposed}get isHidden(){return this.widget.isHidden}get isVisible(){return this.widget.isVisible}get isAttached(){return this.widget.isAttached}fit(){let e=Ce.sizeLimits(this.widget.node);this._minWidth=e.minWidth,this._minHeight=e.minHeight,this._maxWidth=e.maxWidth,this._maxHeight=e.maxHeight}update(e,t,r,n){let s=Math.max(this._minWidth,Math.min(r,this._maxWidth)),o=Math.max(this._minHeight,Math.min(n,this._maxHeight));if(s"center",changed:e}),i.verticalAlignmentProperty=new ht({name:"verticalAlignment",create:()=>"top",changed:e});function e(t){t.parent&&t.parent.layout&&t.parent.update()}})(ym||(ym={}));Hc=class extends wa{constructor(){super(...arguments),this._widgets=[]}dispose(){for(;this._widgets.length>0;)this._widgets.pop().dispose();super.dispose()}get widgets(){return this._widgets}*[Symbol.iterator](){yield*this._widgets}addWidget(e){this.insertWidget(this._widgets.length,e)}insertWidget(e,t){t.parent=this.parent;let r=this._widgets.indexOf(t),n=Math.max(0,Math.min(e,this._widgets.length));if(r===-1){z.insert(this._widgets,n,t),this.parent&&this.attachWidget(n,t);return}n===this._widgets.length&&n--,r!==n&&(z.move(this._widgets,r,n),this.parent&&this.moveWidget(r,n,t))}removeWidget(e){this.removeWidgetAt(this._widgets.indexOf(e))}removeWidgetAt(e){let t=z.removeAt(this._widgets,e);t&&this.parent&&this.detachWidget(e,t)}init(){super.init();let e=0;for(let t of this)this.attachWidget(e++,t)}attachWidget(e,t){let r=this.parent.node.children[e];this.parent.isAttached&&De.sendMessage(t,ue.Msg.BeforeAttach),this.parent.node.insertBefore(t.node,r),this.parent.isAttached&&De.sendMessage(t,ue.Msg.AfterAttach)}moveWidget(e,t,r){this.parent.isAttached&&De.sendMessage(r,ue.Msg.BeforeDetach),this.parent.node.removeChild(r.node),this.parent.isAttached&&De.sendMessage(r,ue.Msg.AfterDetach);let n=this.parent.node.children[t];this.parent.isAttached&&De.sendMessage(r,ue.Msg.BeforeAttach),this.parent.node.insertBefore(r.node,n),this.parent.isAttached&&De.sendMessage(r,ue.Msg.AfterAttach)}detachWidget(e,t){this.parent.isAttached&&De.sendMessage(t,ue.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&De.sendMessage(t,ue.Msg.AfterDetach)}};(function(i){function e(t){return Math.max(0,Math.floor(t))}i.clampDimension=e})(qg||(qg={}));Ug=qg,Ao=class extends Hc{constructor(e){super(),this.widgetOffset=0,this._fixed=0,this._spacing=4,this._dirty=!1,this._hasNormedSizes=!1,this._sizers=[],this._items=[],this._handles=[],this._box=null,this._alignment="start",this._orientation="horizontal",this.renderer=e.renderer,e.orientation!==void 0&&(this._orientation=e.orientation),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=qg.clampDimension(e.spacing))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,this._handles.length=0,super.dispose()}get orientation(){return this._orientation}set orientation(e){this._orientation!==e&&(this._orientation=e,this.parent&&(this.parent.dataset.orientation=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=qg.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get handles(){return this._handles}absoluteSizes(){return this._sizers.map(e=>e.size)}relativeSizes(){return El.normalize(this._sizers.map(e=>e.size))}setRelativeSizes(e,t=!0){let r=this._sizers.length,n=e.slice(0,r);for(;n.length0&&(s.sizeHint=s.size);ds.adjust(this._sizers,e,n),this.parent&&this.parent.update()}}init(){this.parent.dataset.orientation=this.orientation,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){let r=new hu(t),n=El.createHandle(this.renderer),s=El.averageSize(this._sizers),o=El.createSizer(s);z.insert(this._items,e,r),z.insert(this._sizers,e,o),z.insert(this._handles,e,n),this.parent.isAttached&&De.sendMessage(t,ue.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.node.appendChild(n),this.parent.isAttached&&De.sendMessage(t,ue.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){z.move(this._items,e,t),z.move(this._sizers,e,t),z.move(this._handles,e,t),this.parent.fit()}detachWidget(e,t){let r=z.removeAt(this._items,e),n=z.removeAt(this._handles,e);z.removeAt(this._sizers,e),this.parent.isAttached&&De.sendMessage(t,ue.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.node.removeChild(n),this.parent.isAttached&&De.sendMessage(t,ue.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}updateItemPosition(e,t,r,n,s,o,a){let l=this._items[e];if(l.isHidden)return;let c=this._handles[e].style;t?(r+=this.widgetOffset,l.update(r,n,a,s),r+=a,c.top=`${n}px`,c.left=`${r}px`,c.width=`${this._spacing}px`,c.height=`${s}px`):(n+=this.widgetOffset,l.update(r,n,o,a),n+=a,c.top=`${n}px`,c.left=`${r}px`,c.width=`${o}px`,c.height=`${this._spacing}px`)}_fit(){let e=0,t=-1;for(let l=0,c=this._items.length;l0&&(d.sizeHint=d.size),u.isHidden){d.minSize=0,d.maxSize=0;continue}u.fit(),d.stretch=Ao.getStretch(u.widget),r?(d.minSize=u.minWidth,d.maxSize=u.maxWidth,n+=u.minWidth,s=Math.max(s,u.minHeight)):(d.minSize=u.minHeight,d.maxSize=u.maxHeight,s+=u.minHeight,n=Math.max(n,u.minWidth))}let o=this._box=Ce.boxSizing(this.parent.node);n+=o.horizontalSum,s+=o.verticalSum;let a=this.parent.node.style;a.minWidth=`${n}px`,a.minHeight=`${s}px`,this._dirty=!0,this.parent.parent&&De.sendMessage(this.parent.parent,ue.Msg.FitRequest),this._dirty&&De.sendMessage(this.parent,ue.Msg.UpdateRequest)}_update(e,t){this._dirty=!1;let r=0;for(let d=0,f=this._items.length;d0){let d;if(u?d=Math.max(0,o-this._fixed):d=Math.max(0,a-this._fixed),this._hasNormedSizes){for(let h of this._sizers)h.sizeHint*=d;this._hasNormedSizes=!1}let f=ds.calc(this._sizers,d);if(f>0)switch(this._alignment){case"start":break;case"center":l=0,c=f/2;break;case"end":l=0,c=f;break;case"justify":l=f/r,c=0;break;default:throw"unreachable"}}for(let d=0,f=this._items.length;d0,coerce:(o,a)=>Math.max(0,Math.floor(a)),changed:s});function e(o){let a=new xa;return a.sizeHint=Math.floor(o),a}i.createSizer=e;function t(o){let a=o.createHandle();return a.style.position="absolute",a.style.contain="style",a}i.createHandle=t;function r(o){return o.reduce((a,l)=>a+l.size,0)/o.length||0}i.averageSize=r;function n(o){let a=o.length;if(a===0)return[];let l=o.reduce((c,u)=>c+Math.abs(u),0);return l===0?o.map(c=>1/a):o.map(c=>c/l)}i.normalize=n;function s(o){o.parent&&o.parent.layout instanceof Ao&&o.parent.fit()}})(El||(El={}));kI=class extends Ao{constructor(e){super({...e,orientation:e.orientation||"vertical"}),this._titles=[],this.titleSpace=e.titleSpace||22}get titleSpace(){return this.widgetOffset}set titleSpace(e){e=Ug.clampDimension(e),this.widgetOffset!==e&&(this.widgetOffset=e,this.parent&&this.parent.fit())}get titles(){return this._titles}dispose(){this.isDisposed||(this._titles.length=0,super.dispose())}updateTitle(e,t){let r=this._titles[e],n=r.classList.contains("lm-mod-expanded"),s=Ax.createTitle(this.renderer,t.title,n);this._titles[e]=s,this.parent.node.replaceChild(s,r)}insertWidget(e,t){t.id||(t.id=`id-${kl.UUID.uuid4()}`),super.insertWidget(e,t)}attachWidget(e,t){let r=Ax.createTitle(this.renderer,t.title);z.insert(this._titles,e,r),this.parent.node.appendChild(r),t.node.setAttribute("role","region"),t.node.setAttribute("aria-labelledby",r.id),super.attachWidget(e,t)}moveWidget(e,t,r){z.move(this._titles,e,t),super.moveWidget(e,t,r)}detachWidget(e,t){let r=z.removeAt(this._titles,e);this.parent.node.removeChild(r),super.detachWidget(e,t)}updateItemPosition(e,t,r,n,s,o,a){let l=this._titles[e].style;l.top=`${n}px`,l.left=`${r}px`,l.height=`${this.widgetOffset}px`,t?l.width=`${s}px`:l.width=`${o}px`,super.updateItemPosition(e,t,r,n,s,o,a)}};(function(i){function e(t,r,n=!0){let s=t.createSectionTitle(r);return s.style.position="absolute",s.style.contain="strict",s.setAttribute("aria-label",`${r.label} Section`),s.setAttribute("aria-expanded",n?"true":"false"),s.setAttribute("aria-controls",r.owner.id),n&&s.classList.add("lm-mod-expanded"),s}i.createTitle=e})(Ax||(Ax={}));fu=class extends ue{constructor(e={}){super(),this.addClass("lm-Panel"),this.layout=MI.createLayout(e)}get widgets(){return this.layout.widgets}addWidget(e){this.layout.addWidget(e)}insertWidget(e,t){this.layout.insertWidget(e,t)}};(function(i){function e(t){return t.layout||new Hc}i.createLayout=e})(MI||(MI={}));mu=class extends fu{constructor(e={}){super({layout:RI.createLayout(e)}),this._handleMoved=new Me(this),this._pressData=null,this.addClass("lm-SplitPanel")}dispose(){this._releaseMouse(),super.dispose()}get orientation(){return this.layout.orientation}set orientation(e){this.layout.orientation=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get renderer(){return this.layout.renderer}get handleMoved(){return this._handleMoved}get handles(){return this.layout.handles}relativeSizes(){return this.layout.relativeSizes()}setRelativeSizes(e,t=!0){this.layout.setRelativeSizes(e,t)}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){e.child.addClass("lm-SplitPanel-child"),this._releaseMouse()}onChildRemoved(e){e.child.removeClass("lm-SplitPanel-child"),this._releaseMouse()}_evtKeyDown(e){this._pressData&&(e.preventDefault(),e.stopPropagation()),e.keyCode===27&&this._releaseMouse()}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=z.findFirstIndex(t.handles,c=>c.contains(e.target));if(r===-1)return;e.preventDefault(),e.stopPropagation(),document.addEventListener("pointerup",this,!0),document.addEventListener("pointermove",this,!0),document.addEventListener("keydown",this,!0),document.addEventListener("contextmenu",this,!0);let n,s=t.handles[r],o=s.getBoundingClientRect();t.orientation==="horizontal"?n=e.clientX-o.left:n=e.clientY-o.top;let a=window.getComputedStyle(s),l=dr.overrideCursor(a.cursor);this._pressData={index:r,delta:n,override:l}}_evtPointerMove(e){e.preventDefault(),e.stopPropagation();let t,r=this.layout,n=this.node.getBoundingClientRect();r.orientation==="horizontal"?t=e.clientX-n.left-this._pressData.delta:t=e.clientY-n.top-this._pressData.delta,r.moveHandle(this._pressData.index,t)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse())}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._handleMoved.emit(),document.removeEventListener("keydown",this,!0),document.removeEventListener("pointerup",this,!0),document.removeEventListener("pointermove",this,!0),document.removeEventListener("contextmenu",this,!0))}};(function(i){class e{createHandle(){let s=document.createElement("div");return s.className="lm-SplitPanel-handle",s}}i.Renderer=e,i.defaultRenderer=new e;function t(n){return Ao.getStretch(n)}i.getStretch=t;function r(n,s){Ao.setStretch(n,s)}i.setStretch=r})(mu||(mu={}));(function(i){function e(t){return t.layout||new Ao({renderer:t.renderer||mu.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing})}i.createLayout=e})(RI||(RI={}));Vg=class extends mu{constructor(e={}){super({...e,layout:TI.createLayout(e)}),this._widgetSizesCache=new WeakMap,this._expansionToggled=new Me(this),this.addClass("lm-AccordionPanel")}get renderer(){return this.layout.renderer}get titleSpace(){return this.layout.titleSpace}set titleSpace(e){this.layout.titleSpace=e}get titles(){return this.layout.titles}get expansionToggled(){return this._expansionToggled}addWidget(e){super.addWidget(e),e.title.changed.connect(this._onTitleChanged,this)}collapse(e){let t=this.layout.widgets[e];t&&!t.isHidden&&this._toggleExpansion(e)}expand(e){let t=this.layout.widgets[e];t&&t.isHidden&&this._toggleExpansion(e)}insertWidget(e,t){super.insertWidget(e,t),t.title.changed.connect(this._onTitleChanged,this)}handleEvent(e){switch(super.handleEvent(e),e.type){case"click":this._evtClick(e);break;case"keydown":this._eventKeyDown(e);break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),super.onBeforeAttach(e)}onAfterDetach(e){super.onAfterDetach(e),this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this)}_onTitleChanged(e){let t=z.findFirstIndex(this.widgets,r=>r.contains(e.owner));t>=0&&(this.layout.updateTitle(t,e.owner),this.update())}_computeWidgetSize(e){let t=this.layout,r=t.widgets[e];if(!r)return;let n=r.isHidden,s=t.absoluteSizes(),o=(n?-1:1)*this.spacing,a=s.reduce((c,u)=>c+u),l=[...s];if(n){let c=this._widgetSizesCache.get(r);if(!c)return;l[e]+=c;let u=l.map(d=>d-c>0).lastIndexOf(!0);u===-1?l.forEach((d,f)=>{f!==e&&(l[f]-=s[f]/a*(c-o))}):l[u]-=c-o}else{let c=s[e];this._widgetSizesCache.set(r,c),l[e]=0;let u=l.map(d=>d>0).lastIndexOf(!0);if(u===-1)return;l[u]=s[u]+c+o}return l.map(c=>c/(a+o))}_evtClick(e){let t=e.target;if(t){let r=z.findFirstIndex(this.titles,n=>n.contains(t));r>=0&&(e.preventDefault(),e.stopPropagation(),this._toggleExpansion(r))}}_eventKeyDown(e){if(e.defaultPrevented)return;let t=e.target,r=!1;if(t){let n=z.findFirstIndex(this.titles,s=>s.contains(t));if(n>=0){let s=e.keyCode.toString();if(e.key.match(/Space|Enter/)||s.match(/13|32/))t.click(),r=!0;else if(this.orientation==="horizontal"?e.key.match(/ArrowLeft|ArrowRight/)||s.match(/37|39/):e.key.match(/ArrowUp|ArrowDown/)||s.match(/38|40/)){let o=e.key.match(/ArrowLeft|ArrowUp/)||s.match(/37|38/)?-1:1,a=this.titles.length,l=(n+a+o)%a;this.titles[l].focus(),r=!0}else e.key==="End"||s==="35"?(this.titles[this.titles.length-1].focus(),r=!0):(e.key==="Home"||s==="36")&&(this.titles[0].focus(),r=!0)}r&&e.preventDefault()}}_toggleExpansion(e){let t=this.titles[e],r=this.layout.widgets[e],n=this._computeWidgetSize(e);n&&this.setRelativeSizes(n,!1),r.isHidden?(t.classList.add("lm-mod-expanded"),t.setAttribute("aria-expanded","true"),r.show()):(t.classList.remove("lm-mod-expanded"),t.setAttribute("aria-expanded","false"),r.hide()),this._expansionToggled.emit(e)}};(function(i){class e extends mu.Renderer{constructor(){super(),this.titleClassName="lm-AccordionPanel-title",this._titleID=0,this._titleKeys=new WeakMap,this._uuid=++e._nInstance}createCollapseIcon(r){return document.createElement("span")}createSectionTitle(r){let n=document.createElement("h3");n.setAttribute("tabindex","0"),n.id=this.createTitleKey(r),n.className=this.titleClassName;for(let a in r.dataset)n.dataset[a]=r.dataset[a];let s=n.appendChild(this.createCollapseIcon(r));s.className="lm-AccordionPanel-titleCollapser";let o=n.appendChild(document.createElement("span"));return o.className="lm-AccordionPanel-titleLabel",o.textContent=r.label,o.title=r.caption||r.label,n}createTitleKey(r){let n=this._titleKeys.get(r);return n===void 0&&(n=`title-key-${this._uuid}-${this._titleID++}`,this._titleKeys.set(r,n)),n}}e._nInstance=0,i.Renderer=e,i.defaultRenderer=new e})(Vg||(Vg={}));(function(i){function e(t){return t.layout||new kI({renderer:t.renderer||Vg.defaultRenderer,orientation:t.orientation,alignment:t.alignment,spacing:t.spacing,titleSpace:t.titleSpace})}i.createLayout=e})(TI||(TI={}));us=class extends Hc{constructor(e={}){super(),this._fixed=0,this._spacing=4,this._dirty=!1,this._sizers=[],this._items=[],this._box=null,this._alignment="start",this._direction="top-to-bottom",e.direction!==void 0&&(this._direction=e.direction),e.alignment!==void 0&&(this._alignment=e.alignment),e.spacing!==void 0&&(this._spacing=Ug.clampDimension(e.spacing))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,super.dispose()}get direction(){return this._direction}set direction(e){this._direction!==e&&(this._direction=e,this.parent&&(this.parent.dataset.direction=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=Ug.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}init(){this.parent.dataset.direction=this.direction,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){z.insert(this._items,e,new hu(t)),z.insert(this._sizers,e,new xa),this.parent.isAttached&&De.sendMessage(t,ue.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.isAttached&&De.sendMessage(t,ue.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){z.move(this._items,e,t),z.move(this._sizers,e,t),this.parent.update()}detachWidget(e,t){let r=z.removeAt(this._items,e);z.removeAt(this._sizers,e),this.parent.isAttached&&De.sendMessage(t,ue.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&De.sendMessage(t,ue.Msg.AfterDetach),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){let e=0;for(let a=0,l=this._items.length;a0)switch(this._alignment){case"start":break;case"center":c=0,u=l/2;break;case"end":c=0,u=l;break;case"justify":c=l/r,u=0;break;default:throw"unreachable"}for(let d=0,f=this._items.length;d0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r}),i.sizeBasisProperty=new ht({name:"sizeBasis",create:()=>0,coerce:(n,s)=>Math.max(0,Math.floor(s)),changed:r});function e(n){return n==="left-to-right"||n==="right-to-left"}i.isHorizontal=e;function t(n){return Math.max(0,Math.floor(n))}i.clampSpacing=t;function r(n){n.parent&&n.parent.layout instanceof us&&n.parent.fit()}})(uu||(uu={}));Lx=class extends fu{constructor(e={}){super({layout:AI.createLayout(e)}),this.addClass("lm-BoxPanel")}get direction(){return this.layout.direction}set direction(e){this.layout.direction=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}onChildAdded(e){e.child.addClass("lm-BoxPanel-child")}onChildRemoved(e){e.child.removeClass("lm-BoxPanel-child")}};(function(i){function e(s){return us.getStretch(s)}i.getStretch=e;function t(s,o){us.setStretch(s,o)}i.setStretch=t;function r(s){return us.getSizeBasis(s)}i.getSizeBasis=r;function n(s,o){us.setSizeBasis(s,o)}i.setSizeBasis=n})(Lx||(Lx={}));(function(i){function e(t){return t.layout||new us(t)}i.createLayout=e})(AI||(AI={}));wm=class extends ue{constructor(e){super({node:Cl.createNode()}),this._activeIndex=-1,this._items=[],this._results=null,this.addClass("lm-CommandPalette"),this.setFlag(ue.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||wm.defaultRenderer,this.commands.commandChanged.connect(this._onGenericChange,this),this.commands.keyBindingChanged.connect(this._onGenericChange,this)}dispose(){this._items.length=0,this._results=null,super.dispose()}get searchNode(){return this.node.getElementsByClassName("lm-CommandPalette-search")[0]}get inputNode(){return this.node.getElementsByClassName("lm-CommandPalette-input")[0]}get contentNode(){return this.node.getElementsByClassName("lm-CommandPalette-content")[0]}get items(){return this._items}addItem(e){let t=Cl.createItem(this.commands,e);return this._items.push(t),this.refresh(),t}addItems(e){let t=e.map(r=>Cl.createItem(this.commands,r));return t.forEach(r=>this._items.push(r)),this.refresh(),t}removeItem(e){this.removeItemAt(this._items.indexOf(e))}removeItemAt(e){z.removeAt(this._items,e)&&this.refresh()}clearItems(){this._items.length!==0&&(this._items.length=0,this.refresh())}refresh(){if(this._results=null,this.inputNode.value!==""){let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="inherit"}else{let e=this.node.getElementsByClassName("lm-close-icon")[0];e.style.display="none"}this.update()}handleEvent(e){switch(e.type){case"click":this._evtClick(e);break;case"keydown":this._evtKeyDown(e);break;case"input":this.refresh();break;case"focus":case"blur":this._toggleFocused();break}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),this.node.addEventListener("input",this),this.node.addEventListener("focus",this,!0),this.node.addEventListener("blur",this,!0)}onAfterDetach(e){this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this),this.node.removeEventListener("input",this),this.node.removeEventListener("focus",this,!0),this.node.removeEventListener("blur",this,!0)}onAfterShow(e){this.update(),super.onAfterShow(e)}onActivateRequest(e){if(this.isAttached){let t=this.inputNode;t.focus(),t.select()}}onUpdateRequest(e){if(!this.isVisible){Ht.render(null,this.contentNode);return}let t=this.inputNode.value,r=this.contentNode,n=this._results;if(n||(n=this._results=Cl.search(this._items,t),this._activeIndex=t?z.findFirstIndex(n,Cl.canActivate):-1),!t&&n.length===0){Ht.render(null,r);return}if(t&&n.length===0){let l=this.renderer.renderEmptyMessage({query:t});Ht.render(l,r);return}let s=this.renderer,o=this._activeIndex,a=new Array(n.length);for(let l=0,c=n.length;l=n.length)r.scrollTop=0;else{let l=r.children[o];Ce.scrollIntoViewIfNeeded(r,l)}}_evtClick(e){if(e.button!==0)return;if(e.target.classList.contains("lm-close-icon")){this.inputNode.value="",this.refresh();return}let t=z.findFirstIndex(this.contentNode.children,r=>r.contains(e.target));t!==-1&&(e.preventDefault(),e.stopPropagation(),this._execute(t))}_evtKeyDown(e){if(!(e.altKey||e.ctrlKey||e.metaKey||e.shiftKey))switch(e.keyCode){case 13:e.preventDefault(),e.stopPropagation(),this._execute(this._activeIndex);break;case 38:e.preventDefault(),e.stopPropagation(),this._activatePreviousItem();break;case 40:e.preventDefault(),e.stopPropagation(),this._activateNextItem();break}}_activateNextItem(){if(!this._results||this._results.length===0)return;let e=this._activeIndex,t=this._results.length,r=eM-N),b=y.slice(0,C),k=y.slice(C);for(let M=0,N=k.length;Mp.command===h&&kl.JSONExt.deepEqual(p.args,m))||null}}})(Cl||(Cl={}));ya=class extends ue{constructor(e){super({node:In.createNode()}),this._childIndex=-1,this._activeIndex=-1,this._openTimerID=0,this._closeTimerID=0,this._items=[],this._childMenu=null,this._parentMenu=null,this._aboutToClose=new Me(this),this._menuRequested=new Me(this),this.addClass("lm-Menu"),this.setFlag(ue.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||ya.defaultRenderer}dispose(){this.close(),this._items.length=0,super.dispose()}get aboutToClose(){return this._aboutToClose}get menuRequested(){return this._menuRequested}get parentMenu(){return this._parentMenu}get childMenu(){return this._childMenu}get rootMenu(){let e=this;for(;e._parentMenu;)e=e._parentMenu;return e}get leafMenu(){let e=this;for(;e._childMenu;)e=e._childMenu;return e}get contentNode(){return this.node.getElementsByClassName("lm-Menu-content")[0]}get activeItem(){return this._items[this._activeIndex]||null}set activeItem(e){this.activeIndex=e?this._items.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._items.length)&&(e=-1),e!==-1&&!In.canActivate(this._items[e])&&(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this._activeIndex>=0&&this.contentNode.childNodes[this._activeIndex]&&this.contentNode.childNodes[this._activeIndex].focus(),this.update())}get items(){return this._items}activateNextItem(){let e=this._items.length,t=this._activeIndex,r=t{this.activeIndex=a}})}Ht.render(o,this.contentNode)}onCloseRequest(e){this._cancelOpenTimer(),this._cancelCloseTimer(),this.activeIndex=-1;let t=this._childMenu;t&&(this._childIndex=-1,this._childMenu=null,t._parentMenu=null,t.close());let r=this._parentMenu;r&&(this._parentMenu=null,r._childIndex=-1,r._childMenu=null,r.activate()),this.isAttached&&this._aboutToClose.emit(void 0),super.onCloseRequest(e)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation();let t=e.keyCode;if(t===13){this.triggerActiveItem();return}if(t===27){this.close();return}if(t===37){this._parentMenu?this.close():this._menuRequested.emit("previous");return}if(t===38){this.activatePreviousItem();return}if(t===39){let o=this.activeItem;o&&o.type==="submenu"?this.triggerActiveItem():this.rootMenu._menuRequested.emit("next");return}if(t===40){this.activateNextItem();return}let r=Ns().keyForKeydownEvent(e);if(!r)return;let n=this._activeIndex+1,s=In.findMnemonic(this._items,r,n);s.index!==-1&&!s.multiple?(this.activeIndex=s.index,this.triggerActiveItem()):s.index!==-1?this.activeIndex=s.index:s.auto!==-1&&(this.activeIndex=s.auto)}_evtMouseUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this.triggerActiveItem())}_evtMouseMove(e){let t=z.findFirstIndex(this.contentNode.children,n=>Ce.hitTest(n,e.clientX,e.clientY));if(t===this._activeIndex)return;if(this.activeIndex=t,t=this.activeIndex,t===this._childIndex){this._cancelOpenTimer(),this._cancelCloseTimer();return}this._childIndex!==-1&&this._startCloseTimer(),this._cancelOpenTimer();let r=this.activeItem;!r||r.type!=="submenu"||!r.submenu||this._startOpenTimer()}_evtMouseEnter(e){for(let t=this._parentMenu;t;t=t._parentMenu)t._cancelOpenTimer(),t._cancelCloseTimer(),t.activeIndex=t._childIndex}_evtMouseLeave(e){if(this._cancelOpenTimer(),!this._childMenu){this.activeIndex=-1;return}let{clientX:t,clientY:r}=e;if(Ce.hitTest(this._childMenu.node,t,r)){this._cancelCloseTimer();return}this.activeIndex=-1,this._startCloseTimer()}_evtMouseDown(e){this._parentMenu||(In.hitTestMenus(this,e.clientX,e.clientY)?(e.preventDefault(),e.stopPropagation()):this.close())}_openChildMenu(e=!1){let t=this.activeItem;if(!t||t.type!=="submenu"||!t.submenu){this._closeChildMenu();return}let r=t.submenu;if(r===this._childMenu)return;ya.saveWindowData(),this._closeChildMenu(),this._childMenu=r,this._childIndex=this._activeIndex,r._parentMenu=this,De.sendMessage(this,ue.Msg.UpdateRequest);let n=this.contentNode.children[this._activeIndex];In.openSubmenu(r,n),e&&(r.activeIndex=-1,r.activateNextItem()),r.activate()}_closeChildMenu(){this._childMenu&&this._childMenu.close()}_startOpenTimer(){this._openTimerID===0&&(this._openTimerID=window.setTimeout(()=>{this._openTimerID=0,this._openChildMenu()},In.TIMER_DELAY))}_startCloseTimer(){this._closeTimerID===0&&(this._closeTimerID=window.setTimeout(()=>{this._closeTimerID=0,this._closeChildMenu()},In.TIMER_DELAY))}_cancelOpenTimer(){this._openTimerID!==0&&(clearTimeout(this._openTimerID),this._openTimerID=0)}_cancelCloseTimer(){this._closeTimerID!==0&&(clearTimeout(this._closeTimerID),this._closeTimerID=0)}static saveWindowData(){In.saveWindowData()}};(function(i){class e{renderItem(r){let n=this.createItemClass(r),s=this.createItemDataset(r),o=this.createItemARIA(r);return ye.li({className:n,dataset:s,tabindex:"0",onfocus:r.onfocus,...o},this.renderIcon(r),this.renderLabel(r),this.renderShortcut(r),this.renderSubmenu(r))}renderIcon(r){let n=this.createIconClass(r);return ye.div({className:n},r.item.icon,r.item.iconLabel)}renderLabel(r){let n=this.formatLabel(r);return ye.div({className:"lm-Menu-itemLabel"},n)}renderShortcut(r){let n=this.formatShortcut(r);return ye.div({className:"lm-Menu-itemShortcut"},n)}renderSubmenu(r){return ye.div({className:"lm-Menu-itemSubmenuIcon"})}createItemClass(r){let n="lm-Menu-item";r.item.isEnabled||(n+=" lm-mod-disabled"),r.item.isToggled&&(n+=" lm-mod-toggled"),r.item.isVisible||(n+=" lm-mod-hidden"),r.active&&(n+=" lm-mod-active"),r.collapsed&&(n+=" lm-mod-collapsed");let s=r.item.className;return s&&(n+=` ${s}`),n}createItemDataset(r){let n,{type:s,command:o,dataset:a}=r.item;return s==="command"?n={...a,type:s,command:o}:n={...a,type:s},n}createIconClass(r){let n="lm-Menu-itemIcon",s=r.item.iconClass;return s?`${n} ${s}`:n}createItemARIA(r){let n={};switch(r.item.type){case"separator":n.role="presentation";break;case"submenu":n["aria-haspopup"]="true",r.item.isEnabled||(n["aria-disabled"]="true");break;default:r.item.isEnabled||(n["aria-disabled"]="true"),r.item.isToggled?(n.role="menuitemcheckbox",n["aria-checked"]="true"):n.role="menuitem"}return n}formatLabel(r){let{label:n,mnemonic:s}=r.item;if(s<0||s>=n.length)return n;let o=n.slice(0,s),a=n.slice(s+1),l=n[s],c=ye.span({className:"lm-Menu-itemMnemonic"},l);return[o,c,a]}formatShortcut(r){let n=r.item.keyBinding;return n?Qr.formatKeystroke(n.keys):null}}i.Renderer=e,i.defaultRenderer=new e})(ya||(ya={}));(function(i){i.TIMER_DELAY=300,i.SUBMENU_OVERLAP=3;let e=null,t=0;function r(){return t>0?(t--,e):u()}function n(){e=u(),t++}i.saveWindowData=n;function s(){let p=document.createElement("div"),_=document.createElement("ul");return _.className="lm-Menu-content",p.appendChild(_),_.setAttribute("role","menu"),p.tabIndex=0,p}i.createNode=s;function o(p){return p.type!=="separator"&&p.isEnabled&&p.isVisible}i.canActivate=o;function a(p,_){return new m(p.commands,_)}i.createItem=a;function l(p,_,x){for(let y=p;y;y=y.childMenu)if(Ce.hitTest(y.node,_,x))return!0;return!1}i.hitTestMenus=l;function c(p){let _=new Array(p.length);z.fill(_,!1);let x=0,y=p.length;for(;x=0;--S){let C=p[S];if(C.isVisible){if(C.type!=="separator")break;_[S]=!0}}let I=!1;for(;++xM+P&&(_=M+P-Y),!S&&x+te>N+W&&(x>N+W?x=N+W-te:x=x-te),fe.transform=`translate(${Math.max(0,_)}px, ${Math.max(0,x)}px`,fe.opacity="1"}i.openRootMenu=d;function f(p,_){let x=r(),y=x.pageXOffset,S=x.pageYOffset,I=x.clientWidth,C=x.clientHeight;De.sendMessage(p,ue.Msg.UpdateRequest);let 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t=this.addButtonEnabled&&this.addButtonNode.contains(e.target),r=this.contentNode.children,n=z.findFirstIndex(r,o=>Ce.hitTest(o,e.clientX,e.clientY));if(n===-1&&!t||(e.preventDefault(),e.stopPropagation(),this._dragData={tab:r[n],index:n,pressX:e.clientX,pressY:e.clientY,tabPos:-1,tabSize:-1,tabPressPos:-1,targetIndex:-1,tabLayout:null,contentRect:null,override:null,dragActive:!1,dragAborted:!1,detachRequested:!1},this.document.addEventListener("pointerup",this,!0),e.button===1||t))return;let s=r[n].querySelector(this.renderer.closeIconSelector);s&&s.contains(e.target)||(this.tabsMovable&&(this.document.addEventListener("pointermove",this,!0),this.document.addEventListener("keydown",this,!0),this.document.addEventListener("contextmenu",this,!0)),this.allowDeselect&&this.currentIndex===n?this.currentIndex=-1:this.currentIndex=n,this.currentIndex!==-1&&this._tabActivateRequested.emit({index:this.currentIndex,title:this.currentTitle}))}_evtPointerMove(e){let t=this._dragData;if(!t)return;e.preventDefault(),e.stopPropagation();let r=this.contentNode.children;if(!(!t.dragActive&&!Ys.dragExceeded(t,e))){if(!t.dragActive){let n=t.tab.getBoundingClientRect();this._orientation==="horizontal"?(t.tabPos=t.tab.offsetLeft,t.tabSize=n.width,t.tabPressPos=t.pressX-n.left):(t.tabPos=t.tab.offsetTop,t.tabSize=n.height,t.tabPressPos=t.pressY-n.top),t.tabPressOffset={x:t.pressX-n.left,y:t.pressY-n.top},t.tabLayout=Ys.snapTabLayout(r,this._orientation),t.contentRect=this.contentNode.getBoundingClientRect(),t.override=dr.overrideCursor("default"),t.tab.classList.add("lm-mod-dragging"),this.addClass("lm-mod-dragging"),t.dragActive=!0}if(!t.detachRequested&&Ys.detachExceeded(t,e)){t.detachRequested=!0;let n=t.index,s=e.clientX,o=e.clientY,a=r[n],l=this._titles[n];if(this._tabDetachRequested.emit({index:n,title:l,tab:a,clientX:s,clientY:o,offset:t.tabPressOffset}),t.dragAborted)return}Ys.layoutTabs(r,t,e,this._orientation)}}_evtPointerUp(e){if(e.button!==0&&e.button!==1)return;let t=this._dragData;if(!t)return;if(e.preventDefault(),e.stopPropagation(),this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),!t.dragActive){if(this._dragData=null,this.addButtonEnabled&&this.addButtonNode.contains(e.target)){this._addRequested.emit(void 0);return}let s=this.contentNode.children,o=z.findFirstIndex(s,c=>Ce.hitTest(c,e.clientX,e.clientY));if(o!==t.index)return;let a=this._titles[o];if(!a.closable)return;if(e.button===1){this._tabCloseRequested.emit({index:o,title:a});return}let l=s[o].querySelector(this.renderer.closeIconSelector);if(l&&l.contains(e.target)){this._tabCloseRequested.emit({index:o,title:a});return}return}if(e.button!==0)return;Ys.finalizeTabPosition(t,this._orientation),t.tab.classList.remove("lm-mod-dragging");let r=Ys.parseTransitionDuration(t.tab);setTimeout(()=>{if(t.dragAborted)return;this._dragData=null,Ys.resetTabPositions(this.contentNode.children,this._orientation),t.override.dispose(),this.removeClass("lm-mod-dragging");let n=t.index,s=t.targetIndex;s===-1||n===s||(z.move(this._titles,n,s),this._adjustCurrentForMove(n,s),this._tabMoved.emit({fromIndex:n,toIndex:s,title:this._titles[s]}),De.sendMessage(this,ue.Msg.UpdateRequest))},r)}_releaseMouse(){let e=this._dragData;e&&(this._dragData=null,this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),e.dragAborted=!0,e.dragActive&&(Ys.resetTabPositions(this.contentNode.children,this._orientation),e.override.dispose(),e.tab.classList.remove("lm-mod-dragging"),this.removeClass("lm-mod-dragging")))}_adjustCurrentForInsert(e,t){let r=this.currentTitle,n=this._currentIndex,s=this.insertBehavior;if(s==="select-tab"||s==="select-tab-if-needed"&&n===-1){this._currentIndex=e,this._previousTitle=r,this._currentChanged.emit({previousIndex:n,previousTitle:r,currentIndex:e,currentTitle:t});return}n>=e&&this._currentIndex++}_adjustCurrentForMove(e,t){this._currentIndex===e?this._currentIndex=t:this._currentIndex=t?this._currentIndex++:this._currentIndex>e&&this._currentIndex<=t&&this._currentIndex--}_adjustCurrentForRemove(e,t){let r=this._currentIndex,n=this.removeBehavior;if(r!==e){r>e&&this._currentIndex--;return}if(this._titles.length===0){this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null});return}if(n==="select-tab-after"){this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-tab-before"){this._currentIndex=Math.max(0,e-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}if(n==="select-previous-tab"){this._previousTitle?(this._currentIndex=this._titles.indexOf(this._previousTitle),this._previousTitle=null):this._currentIndex=Math.min(e,this._titles.length-1),this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});return}this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}_onTitleChanged(e){this.update()}};(function(i){class e{constructor(){this.closeIconSelector=".lm-TabBar-tabCloseIcon",this._tabID=0,this._tabKeys=new WeakMap,this._uuid=++e._nInstance}renderTab(r){let n=r.title.caption,s=this.createTabKey(r),o=s,a=this.createTabStyle(r),l=this.createTabClass(r),c=this.createTabDataset(r),u=this.createTabARIA(r);return r.title.closable?ye.li({id:o,key:s,className:l,title:n,style:a,dataset:c,...u},this.renderIcon(r),this.renderLabel(r),this.renderCloseIcon(r)):ye.li({id:o,key:s,className:l,title:n,style:a,dataset:c,...u},this.renderIcon(r),this.renderLabel(r))}renderIcon(r){let{title:n}=r,s=this.createIconClass(r);return ye.div({className:s},n.icon,n.iconLabel)}renderLabel(r){return ye.div({className:"lm-TabBar-tabLabel"},r.title.label)}renderCloseIcon(r){return ye.div({className:"lm-TabBar-tabCloseIcon"})}createTabKey(r){let n=this._tabKeys.get(r.title);return n===void 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lm-mod-hidden",f.setAttribute("tabindex","-1"),f.setAttribute("role","button"),u.appendChild(f),u}i.createNode=e;function t(u){return u instanceof Wg?u:new Wg(u)}i.asTitle=t;function r(u){let d=window.getComputedStyle(u);return 1e3*(parseFloat(d.transitionDuration)||0)}i.parseTransitionDuration=r;function n(u,d){let f=new Array(u.length);for(let h=0,m=u.length;h=i.DRAG_THRESHOLD||h>=i.DRAG_THRESHOLD}i.dragExceeded=s;function o(u,d){let f=u.contentRect;return d.clientX=f.right+i.DETACH_THRESHOLD||d.clientY=f.bottom+i.DETACH_THRESHOLD}i.detachExceeded=o;function a(u,d,f,h){let m,p,_,x;h==="horizontal"?(m=d.pressX,p=f.clientX-d.contentRect.left,_=f.clientX,x=d.contentRect.width):(m=d.pressY,p=f.clientY-d.contentRect.top,_=f.clientY,x=d.contentRect.height);let y=d.index,S=p-d.tabPressPos,I=S+d.tabSize;for(let C=0,b=u.length;C>1);if(Cd.index&&I>N)k=`${-d.tabSize-M.margin}px`,y=Math.max(y,C);else if(C===d.index){let P=_-m,W=x-(d.tabPos+d.tabSize);k=`${Math.max(-d.tabPos,Math.min(P,W))}px`}else k="";h==="horizontal"?u[C].style.left=k:u[C].style.top=k}d.targetIndex=y}i.layoutTabs=a;function l(u,d){let f;d==="horizontal"?f=u.contentRect.width:f=u.contentRect.height;let h;if(u.targetIndex===u.index)h=0;else if(u.targetIndex>u.index){let _=u.tabLayout[u.targetIndex];h=_.pos+_.size-u.tabSize-u.tabPos}else h=u.tabLayout[u.targetIndex].pos-u.tabPos;let m=f-(u.tabPos+u.tabSize),p=Math.max(-u.tabPos,Math.min(h,m));d==="horizontal"?u.tab.style.left=`${p}px`:u.tab.style.top=`${p}px`}i.finalizeTabPosition=l;function c(u,d){for(let f of u)d==="horizontal"?f.style.left="":f.style.top=""}i.resetTabPositions=c})(Ys||(Ys={}));LI=class extends wa{constructor(e){super(),this._spacing=4,this._dirty=!1,this._root=null,this._box=null,this._items=new Map,this.renderer=e.renderer,e.spacing!==void 0&&(this._spacing=Ug.clampDimension(e.spacing)),this._document=e.document||document,this._hiddenMode=e.hiddenMode!==void 0?e.hiddenMode:ue.HiddenMode.Display}dispose(){let e=this[Symbol.iterator]();this._items.forEach(t=>{t.dispose()}),this._box=null,this._root=null,this._items.clear();for(let t of e)t.dispose();super.dispose()}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){if(this._hiddenMode!==e){this._hiddenMode=e;for(let t of this.tabBars())if(t.titles.length>1)for(let r of t.titles)r.owner.hiddenMode=this._hiddenMode}}get spacing(){return this._spacing}set spacing(e){e=Ug.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get isEmpty(){return this._root===null}[Symbol.iterator](){return this._root?this._root.iterAllWidgets():Si()}widgets(){return this._root?this._root.iterUserWidgets():Si()}selectedWidgets(){return this._root?this._root.iterSelectedWidgets():Si()}tabBars(){return this._root?this._root.iterTabBars():Si()}handles(){return this._root?this._root.iterHandles():Si()}moveHandle(e,t,r){let n=e.classList.contains("lm-mod-hidden");if(!this._root||n)return;let s=this._root.findSplitNode(e);if(!s)return;let o;s.node.orientation==="horizontal"?o=t-e.offsetLeft:o=r-e.offsetTop,o!==0&&(s.node.holdSizes(),ds.adjust(s.node.sizers,s.index,o),this.parent&&this.parent.update())}saveLayout(){return this._root?(this._root.holdAllSizes(),{main:this._root.createConfig()}):{main:null}}restoreLayout(e){let t=new Set,r;e.main?r=Ji.normalizeAreaConfig(e.main,t):r=null;let n=this.widgets(),s=this.tabBars(),o=this.handles();this._root=null;for(let a of n)t.has(a)||(a.parent=null);for(let a of s)a.dispose();for(let a of o)a.parentNode&&a.parentNode.removeChild(a);for(let a of t)a.parent=this.parent;r?this._root=Ji.realizeAreaConfig(r,{createTabBar:a=>this._createTabBar(),createHandle:()=>this._createHandle()},this._document):this._root=null,this.parent&&(t.forEach(a=>{this.attachWidget(a)}),this.parent.fit())}addWidget(e,t={}){let r=t.ref||null,n=t.mode||"tab-after",s=null;if(this._root&&r&&(s=this._root.findTabNode(r)),r&&!s)throw new Error("Reference widget is not in the layout.");switch(e.parent=this.parent,n){case"tab-after":this._insertTab(e,r,s,!0);break;case"tab-before":this._insertTab(e,r,s,!1);break;case"split-top":this._insertSplit(e,r,s,"vertical",!1);break;case"split-left":this._insertSplit(e,r,s,"horizontal",!1);break;case"split-right":this._insertSplit(e,r,s,"horizontal",!0);break;case"split-bottom":this._insertSplit(e,r,s,"vertical",!0);break;case"merge-top":this._insertSplit(e,r,s,"vertical",!1,!0);break;case"merge-left":this._insertSplit(e,r,s,"horizontal",!1,!0);break;case"merge-right":this._insertSplit(e,r,s,"horizontal",!0,!0);break;case"merge-bottom":this._insertSplit(e,r,s,"vertical",!0,!0);break}this.parent&&(this.attachWidget(e),this.parent.fit())}removeWidget(e){this._removeWidget(e),this.parent&&(this.detachWidget(e),this.parent.fit())}hitTestTabAreas(e,t){if(!this._root||!this.parent||!this.parent.isVisible)return null;this._box||(this._box=Ce.boxSizing(this.parent.node));let r=this.parent.node.getBoundingClientRect(),n=e-r.left-this._box.borderLeft,s=t-r.top-this._box.borderTop,o=this._root.hitTestTabNodes(n,s);if(!o)return null;let{tabBar:a,top:l,left:c,width:u,height:d}=o,f=this._box.borderLeft+this._box.borderRight,h=this._box.borderTop+this._box.borderBottom,m=r.width-f-(c+u),p=r.height-h-(l+d);return{tabBar:a,x:n,y:s,top:l,left:c,right:m,bottom:p,width:u,height:d}}init(){super.init();for(let e of this)this.attachWidget(e);for(let e of this.handles())this.parent.node.appendChild(e);this.parent.fit()}attachWidget(e){this.parent.node!==e.node.parentNode&&(this._items.set(e,new hu(e)),this.parent.isAttached&&De.sendMessage(e,ue.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&De.sendMessage(e,ue.Msg.AfterAttach))}detachWidget(e){if(this.parent.node!==e.node.parentNode)return;this.parent.isAttached&&De.sendMessage(e,ue.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&De.sendMessage(e,ue.Msg.AfterDetach);let t=this._items.get(e);t&&(this._items.delete(e),t.dispose())}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_removeWidget(e){if(!this._root)return;let t=this._root.findTabNode(e);if(!t)return;if(Ji.removeAria(e),t.tabBar.titles.length>1){if(t.tabBar.removeTab(e.title),this._hiddenMode===ue.HiddenMode.Scale&&t.tabBar.titles.length==1){let f=t.tabBar.titles[0].owner;f.hiddenMode=ue.HiddenMode.Display}return}if(t.tabBar.dispose(),this._root===t){this._root=null;return}this._root.holdAllSizes();let r=t.parent;t.parent=null;let n=z.removeFirstOf(r.children,t),s=z.removeAt(r.handles,n);if(z.removeAt(r.sizers,n),s.parentNode&&s.parentNode.removeChild(s),r.children.length>1){r.syncHandles();return}let o=r.parent;r.parent=null;let a=r.children[0],l=r.handles[0];if(r.children.length=0,r.handles.length=0,r.sizers.length=0,l.parentNode&&l.parentNode.removeChild(l),this._root===r){a.parent=null,this._root=a;return}let c=o,u=c.children.indexOf(r);if(a instanceof Ji.TabLayoutNode){a.parent=c,c.children[u]=a;return}let d=z.removeAt(c.handles,u);z.removeAt(c.children,u),z.removeAt(c.sizers,u),d.parentNode&&d.parentNode.removeChild(d);for(let f=0,h=a.children.length;f=this._left+this._width||m=this._top+this._height?null:this}createConfig(){let h=this.tabBar.titles.map(p=>p.owner),m=this.tabBar.currentIndex;return{type:"tab-area",widgets:h,currentIndex:m}}holdAllSizes(){}fit(h,m){let p=0,_=0,x=1/0,y=1/0,S=m.get(this.tabBar),I=this.tabBar.currentTitle,C=I?m.get(I.owner):void 0,[b,k]=this.sizers;return S&&S.fit(),C&&C.fit(),S&&!S.isHidden?(p=Math.max(p,S.minWidth),_+=S.minHeight,b.minSize=S.minHeight,b.maxSize=S.maxHeight):(b.minSize=0,b.maxSize=0),C&&!C.isHidden?(p=Math.max(p,C.minWidth),_+=C.minHeight,k.minSize=C.minHeight,k.maxSize=1/0):(k.minSize=0,k.maxSize=1/0),{minWidth:p,minHeight:_,maxWidth:x,maxHeight:y}}update(h,m,p,_,x,y){this._top=m,this._left=h,this._width=p,this._height=_;let S=y.get(this.tabBar),I=this.tabBar.currentTitle,C=I?y.get(I.owner):void 0;if(ds.calc(this.sizers,_),S&&!S.isHidden){let b=this.sizers[0].size;S.update(h,m,p,b),m+=b}if(C&&!C.isHidden){let b=this.sizers[1].size;C.update(h,m,p,b)}}}i.TabLayoutNode=n;class s{constructor(h){this.parent=null,this.normalized=!1,this.children=[],this.sizers=[],this.handles=[],this.orientation=h}*iterAllWidgets(){for(let h of this.children)yield*h.iterAllWidgets()}*iterUserWidgets(){for(let h of this.children)yield*h.iterUserWidgets()}*iterSelectedWidgets(){for(let h of this.children)yield*h.iterSelectedWidgets()}*iterTabBars(){for(let h of this.children)yield*h.iterTabBars()}*iterHandles(){yield*this.handles;for(let h of this.children)yield*h.iterHandles()}findTabNode(h){for(let m=0,p=this.children.length;m_.createConfig());return{type:"split-area",orientation:h,children:p,sizes:m}}syncHandles(){this.handles.forEach((h,m)=>{h.setAttribute("data-orientation",this.orientation),m===this.handles.length-1?h.classList.add("lm-mod-hidden"):h.classList.remove("lm-mod-hidden")})}holdSizes(){for(let h of this.sizers)h.sizeHint=h.size}holdAllSizes(){for(let h of this.children)h.holdAllSizes();this.holdSizes()}normalizeSizes(){let h=this.sizers.length;if(h===0)return;this.holdSizes();let m=this.sizers.reduce((p,_)=>p+_.sizeHint,0);if(m===0)for(let p of this.sizers)p.size=p.sizeHint=1/h;else for(let p of this.sizers)p.size=p.sizeHint/=m;this.normalized=!0}createNormalizedSizes(){let h=this.sizers.length;if(h===0)return[];let m=this.sizers.map(_=>_.size),p=m.reduce((_,x)=>_+x,0);if(p===0)for(let _=m.length-1;_>-1;_--)m[_]=1/h;else for(let _=m.length-1;_>-1;_--)m[_]/=p;return m}fit(h,m){let p=this.orientation==="horizontal",_=Math.max(0,this.children.length-1)*h,x=p?_:0,y=p?0:_,S=1/0,I=1/0;for(let C=0,b=this.children.length;C=m.length)&&(p=0),{type:"tab-area",widgets:m,currentIndex:p}}function c(f,h){let m=f.orientation,p=[],_=[];for(let x=0,y=f.children.length;x{let y=r(_,h,m),S=e(f.sizes[x]),I=h.createHandle();p.children.push(y),p.handles.push(I),p.sizers.push(S),y.parent=p}),p.syncHandles(),p.normalizeSizes(),p}})(Ji||(Ji={}));pu=class extends ue{constructor(e={}){super(),this._drag=null,this._tabsMovable=!0,this._tabsConstrained=!1,this._addButtonEnabled=!1,this._pressData=null,this._layoutModified=new Me(this),this._addRequested=new Me(this),this.addClass("lm-DockPanel"),this._document=e.document||document,this._mode=e.mode||"multiple-document",this._renderer=e.renderer||pu.defaultRenderer,this._edges=e.edges||Fi.DEFAULT_EDGES,e.tabsMovable!==void 0&&(this._tabsMovable=e.tabsMovable),e.tabsConstrained!==void 0&&(this._tabsConstrained=e.tabsConstrained),e.addButtonEnabled!==void 0&&(this._addButtonEnabled=e.addButtonEnabled),this.dataset.mode=this._mode;let t={createTabBar:()=>this._createTabBar(),createHandle:()=>this._createHandle()};this.layout=new LI({document:this._document,renderer:t,spacing:e.spacing,hiddenMode:e.hiddenMode}),this.overlay=e.overlay||new pu.Overlay,this.node.appendChild(this.overlay.node)}dispose(){this._releaseMouse(),this.overlay.hide(0),this._drag&&this._drag.dispose(),super.dispose()}get hiddenMode(){return this.layout.hiddenMode}set hiddenMode(e){this.layout.hiddenMode=e}get layoutModified(){return this._layoutModified}get addRequested(){return this._addRequested}get renderer(){return this.layout.renderer}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get mode(){return this._mode}set mode(e){if(this._mode===e)return;this._mode=e,this.dataset.mode=e;let t=this.layout;switch(e){case"multiple-document":for(let r of t.tabBars())r.show();break;case"single-document":t.restoreLayout(Fi.createSingleDocumentConfig(this));break;default:throw"unreachable"}De.postMessage(this,Fi.LayoutModified)}get tabsMovable(){return this._tabsMovable}set tabsMovable(e){this._tabsMovable=e;for(let t of this.tabBars())t.tabsMovable=e}get tabsConstrained(){return this._tabsConstrained}set tabsConstrained(e){this._tabsConstrained=e}get addButtonEnabled(){return this._addButtonEnabled}set addButtonEnabled(e){this._addButtonEnabled=e;for(let t of this.tabBars())t.addButtonEnabled=e}get isEmpty(){return this.layout.isEmpty}*widgets(){yield*this.layout.widgets()}*selectedWidgets(){yield*this.layout.selectedWidgets()}*tabBars(){yield*this.layout.tabBars()}*handles(){yield*this.layout.handles()}selectWidget(e){let t=Ts(this.tabBars(),r=>r.titles.indexOf(e.title)!==-1);if(!t)throw new Error("Widget is not contained in the dock panel.");t.currentTitle=e.title}activateWidget(e){this.selectWidget(e),e.activate()}saveLayout(){return this.layout.saveLayout()}restoreLayout(e){this._mode="multiple-document",this.layout.restoreLayout(e),(Mi.IS_EDGE||Mi.IS_IE)&&De.flush(),De.postMessage(this,Fi.LayoutModified)}addWidget(e,t={}){this._mode==="single-document"?this.layout.addWidget(e):this.layout.addWidget(e,t),De.postMessage(this,Fi.LayoutModified)}processMessage(e){e.type==="layout-modified"?this._layoutModified.emit(void 0):super.processMessage(e)}handleEvent(e){switch(e.type){case"lm-dragenter":this._evtDragEnter(e);break;case"lm-dragleave":this._evtDragLeave(e);break;case"lm-dragover":this._evtDragOver(e);break;case"lm-drop":this._evtDrop(e);break;case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("lm-dragenter",this),this.node.addEventListener("lm-dragleave",this),this.node.addEventListener("lm-dragover",this),this.node.addEventListener("lm-drop",this),this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("lm-dragenter",this),this.node.removeEventListener("lm-dragleave",this),this.node.removeEventListener("lm-dragover",this),this.node.removeEventListener("lm-drop",this),this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){Fi.isGeneratedTabBarProperty.get(e.child)||e.child.addClass("lm-DockPanel-widget")}onChildRemoved(e){Fi.isGeneratedTabBarProperty.get(e.child)||(e.child.removeClass("lm-DockPanel-widget"),De.postMessage(this,Fi.LayoutModified))}_evtDragEnter(e){e.mimeData.hasData("application/vnd.lumino.widget-factory")&&(e.preventDefault(),e.stopPropagation())}_evtDragLeave(e){e.preventDefault(),!(this._tabsConstrained&&e.source!==this)&&(e.stopPropagation(),this.overlay.hide(1))}_evtDragOver(e){e.preventDefault(),this._tabsConstrained&&e.source!==this||this._showOverlay(e.clientX,e.clientY)==="invalid"?e.dropAction="none":(e.stopPropagation(),e.dropAction=e.proposedAction)}_evtDrop(e){if(e.preventDefault(),this.overlay.hide(0),e.proposedAction==="none"){e.dropAction="none";return}let{clientX:t,clientY:r}=e,{zone:n,target:s}=Fi.findDropTarget(this,t,r,this._edges);if(this._tabsConstrained&&e.source!==this||n==="invalid"){e.dropAction="none";return}let a=e.mimeData.getData("application/vnd.lumino.widget-factory");if(typeof a!="function"){e.dropAction="none";return}let l=a();if(!(l instanceof ue)){e.dropAction="none";return}if(l.contains(this)){e.dropAction="none";return}let c=s?Fi.getDropRef(s.tabBar):null;switch(n){case"root-all":this.addWidget(l);break;case"root-top":this.addWidget(l,{mode:"split-top"});break;case"root-left":this.addWidget(l,{mode:"split-left"});break;case"root-right":this.addWidget(l,{mode:"split-right"});break;case"root-bottom":this.addWidget(l,{mode:"split-bottom"});break;case"widget-all":this.addWidget(l,{mode:"tab-after",ref:c});break;case"widget-top":this.addWidget(l,{mode:"split-top",ref:c});break;case"widget-left":this.addWidget(l,{mode:"split-left",ref:c});break;case"widget-right":this.addWidget(l,{mode:"split-right",ref:c});break;case"widget-bottom":this.addWidget(l,{mode:"split-bottom",ref:c});break;case"widget-tab":this.addWidget(l,{mode:"tab-after",ref:c});break;default:throw"unreachable"}e.dropAction=e.proposedAction,e.stopPropagation(),this.activateWidget(l)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation(),e.keyCode===27&&(this._releaseMouse(),De.postMessage(this,Fi.LayoutModified))}_evtPointerDown(e){if(e.button!==0)return;let t=this.layout,r=e.target,n=Ts(t.handles(),u=>u.contains(r));if(!n)return;e.preventDefault(),e.stopPropagation(),this._document.addEventListener("keydown",this,!0),this._document.addEventListener("pointerup",this,!0),this._document.addEventListener("pointermove",this,!0),this._document.addEventListener("contextmenu",this,!0);let s=n.getBoundingClientRect(),o=e.clientX-s.left,a=e.clientY-s.top,l=window.getComputedStyle(n),c=dr.overrideCursor(l.cursor,this._document);this._pressData={handle:n,deltaX:o,deltaY:a,override:c}}_evtPointerMove(e){if(!this._pressData)return;e.preventDefault(),e.stopPropagation();let t=this.node.getBoundingClientRect(),r=e.clientX-t.left-this._pressData.deltaX,n=e.clientY-t.top-this._pressData.deltaY;this.layout.moveHandle(this._pressData.handle,r,n)}_evtPointerUp(e){e.button===0&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse(),De.postMessage(this,Fi.LayoutModified))}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._document.removeEventListener("keydown",this,!0),this._document.removeEventListener("pointerup",this,!0),this._document.removeEventListener("pointermove",this,!0),this._document.removeEventListener("contextmenu",this,!0))}_showOverlay(e,t){let{zone:r,target:n}=Fi.findDropTarget(this,e,t,this._edges);if(r==="invalid")return this.overlay.hide(100),r;let s,o,a,l,c=Ce.boxSizing(this.node),u=this.node.getBoundingClientRect();switch(r){case"root-all":s=c.paddingTop,o=c.paddingLeft,a=c.paddingRight,l=c.paddingBottom;break;case"root-top":s=c.paddingTop,o=c.paddingLeft,a=c.paddingRight,l=u.height*Fi.GOLDEN_RATIO;break;case"root-left":s=c.paddingTop,o=c.paddingLeft,a=u.width*Fi.GOLDEN_RATIO,l=c.paddingBottom;break;case"root-right":s=c.paddingTop,o=u.width*Fi.GOLDEN_RATIO,a=c.paddingRight,l=c.paddingBottom;break;case"root-bottom":s=u.height*Fi.GOLDEN_RATIO,o=c.paddingLeft,a=c.paddingRight,l=c.paddingBottom;break;case"widget-all":s=n.top,o=n.left,a=n.right,l=n.bottom;break;case"widget-top":s=n.top,o=n.left,a=n.right,l=n.bottom+n.height/2;break;case"widget-left":s=n.top,o=n.left,a=n.right+n.width/2,l=n.bottom;break;case"widget-right":s=n.top,o=n.left+n.width/2,a=n.right,l=n.bottom;break;case"widget-bottom":s=n.top+n.height/2,o=n.left,a=n.right,l=n.bottom;break;case"widget-tab":{let d=n.tabBar.node.getBoundingClientRect().height;s=n.top,o=n.left,a=n.right,l=n.bottom+n.height-d;break}default:throw"unreachable"}return this.overlay.show({top:s,left:o,right:a,bottom:l}),r}_createTabBar(){let e=this._renderer.createTabBar(this._document);return Fi.isGeneratedTabBarProperty.set(e,!0),this._mode==="single-document"&&e.hide(),e.tabsMovable=this._tabsMovable,e.allowDeselect=!1,e.addButtonEnabled=this._addButtonEnabled,e.removeBehavior="select-previous-tab",e.insertBehavior="select-tab-if-needed",e.tabMoved.connect(this._onTabMoved,this),e.currentChanged.connect(this._onCurrentChanged,this),e.tabCloseRequested.connect(this._onTabCloseRequested,this),e.tabDetachRequested.connect(this._onTabDetachRequested,this),e.tabActivateRequested.connect(this._onTabActivateRequested,this),e.addRequested.connect(this._onTabAddRequested,this),e}_createHandle(){return this._renderer.createHandle()}_onTabMoved(){De.postMessage(this,Fi.LayoutModified)}_onCurrentChanged(e,t){let{previousTitle:r,currentTitle:n}=t;r&&r.owner.hide(),n&&n.owner.show(),(Mi.IS_EDGE||Mi.IS_IE)&&De.flush(),De.postMessage(this,Fi.LayoutModified)}_onTabAddRequested(e){this._addRequested.emit(e)}_onTabActivateRequested(e,t){t.title.owner.activate()}_onTabCloseRequested(e,t){t.title.owner.close()}_onTabDetachRequested(e,t){if(this._drag)return;e.releaseMouse();let{title:r,tab:n,clientX:s,clientY:o,offset:a}=t,l=new kl.MimeData,c=()=>r.owner;l.setData("application/vnd.lumino.widget-factory",c);let u=n.cloneNode(!0);a&&(u.style.top=`-${a.y}px`,u.style.left=`-${a.x}px`),this._drag=new dr({document:this._document,mimeData:l,dragImage:u,proposedAction:"move",supportedActions:"move",source:this}),n.classList.add("lm-mod-hidden");let d=()=>{this._drag=null,n.classList.remove("lm-mod-hidden")};this._drag.start(s,o).then(d)}};(function(i){class e{constructor(){this._timer=-1,this._hidden=!0,this.node=document.createElement("div"),this.node.classList.add("lm-DockPanel-overlay"),this.node.classList.add("lm-mod-hidden"),this.node.style.position="absolute",this.node.style.contain="strict"}show(n){let s=this.node.style;s.top=`${n.top}px`,s.left=`${n.left}px`,s.right=`${n.right}px`,s.bottom=`${n.bottom}px`,clearTimeout(this._timer),this._timer=-1,this._hidden&&(this._hidden=!1,this.node.classList.remove("lm-mod-hidden"))}hide(n){if(!this._hidden){if(n<=0){clearTimeout(this._timer),this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden");return}this._timer===-1&&(this._timer=window.setTimeout(()=>{this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden")},n))}}}i.Overlay=e;class t{createTabBar(n){let s=new Fc({document:n});return s.addClass("lm-DockPanel-tabBar"),s}createHandle(){let n=document.createElement("div");return n.className="lm-DockPanel-handle",n}}i.Renderer=t,i.defaultRenderer=new t})(pu||(pu={}));(function(i){i.GOLDEN_RATIO=.618,i.DEFAULT_EDGES={top:12,right:40,bottom:40,left:40},i.LayoutModified=new jc("layout-modified"),i.isGeneratedTabBarProperty=new ht({name:"isGeneratedTabBar",create:()=>!1});function e(n){if(n.isEmpty)return{main:null};let s=Array.from(n.widgets()),o=n.selectedWidgets().next().value,a=o?s.indexOf(o):-1;return{main:{type:"tab-area",widgets:s,currentIndex:a}}}i.createSingleDocumentConfig=e;function t(n,s,o,a){if(!Ce.hitTest(n.node,s,o))return{zone:"invalid",target:null};let l=n.layout;if(l.isEmpty)return{zone:"root-all",target:null};if(n.mode==="multiple-document"){let S=n.node.getBoundingClientRect(),I=s-S.left+1,C=o-S.top+1,b=S.right-s,k=S.bottom-o;switch(Math.min(C,b,k,I)){case C:if(Cp&&f>p&&d>_&&h>_)return{zone:"widget-all",target:c};u/=p,d/=_,f/=p,h/=_;let x=Math.min(u,d,f,h),y;switch(x){case u:y="widget-left";break;case d:y="widget-top";break;case f:y="widget-right";break;case h:y="widget-bottom";break;default:throw"unreachable"}return{zone:y,target:c}}i.findDropTarget=t;function r(n){return n.titles.length===0?null:n.currentTitle?n.currentTitle.owner:n.titles[n.titles.length-1].owner}i.getDropRef=r})(Fi||(Fi={}));Il=class extends wa{constructor(e={}){super(e),this._dirty=!1,this._rowSpacing=4,this._columnSpacing=4,this._items=[],this._rowStarts=[],this._columnStarts=[],this._rowSizers=[new xa],this._columnSizers=[new xa],this._box=null,e.rowCount!==void 0&&yr.reallocSizers(this._rowSizers,e.rowCount),e.columnCount!==void 0&&yr.reallocSizers(this._columnSizers,e.columnCount),e.rowSpacing!==void 0&&(this._rowSpacing=yr.clampValue(e.rowSpacing)),e.columnSpacing!==void 0&&(this._columnSpacing=yr.clampValue(e.columnSpacing))}dispose(){for(let e of this._items){let t=e.widget;e.dispose(),t.dispose()}this._box=null,this._items.length=0,this._rowStarts.length=0,this._rowSizers.length=0,this._columnStarts.length=0,this._columnSizers.length=0,super.dispose()}get rowCount(){return this._rowSizers.length}set rowCount(e){e!==this.rowCount&&(yr.reallocSizers(this._rowSizers,e),this.parent&&this.parent.fit())}get columnCount(){return this._columnSizers.length}set columnCount(e){e!==this.columnCount&&(yr.reallocSizers(this._columnSizers,e),this.parent&&this.parent.fit())}get rowSpacing(){return this._rowSpacing}set rowSpacing(e){e=yr.clampValue(e),this._rowSpacing!==e&&(this._rowSpacing=e,this.parent&&this.parent.fit())}get columnSpacing(){return this._columnSpacing}set columnSpacing(e){e=yr.clampValue(e),this._columnSpacing!==e&&(this._columnSpacing=e,this.parent&&this.parent.fit())}rowStretch(e){let t=this._rowSizers[e];return t?t.stretch:-1}setRowStretch(e,t){let r=this._rowSizers[e];r&&(t=yr.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}columnStretch(e){let t=this._columnSizers[e];return t?t.stretch:-1}setColumnStretch(e,t){let r=this._columnSizers[e];r&&(t=yr.clampValue(t),r.stretch!==t&&(r.stretch=t,this.parent&&this.parent.update()))}*[Symbol.iterator](){for(let e of this._items)yield e.widget}addWidget(e){z.findFirstIndex(this._items,r=>r.widget===e)===-1&&(this._items.push(new hu(e)),this.parent&&this.attachWidget(e))}removeWidget(e){let t=z.findFirstIndex(this._items,n=>n.widget===e);if(t===-1)return;let r=z.removeAt(this._items,t);this.parent&&this.detachWidget(e),r.dispose()}init(){super.init();for(let e of this)this.attachWidget(e)}attachWidget(e){this.parent.isAttached&&De.sendMessage(e,ue.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&De.sendMessage(e,ue.Msg.AfterAttach),this.parent.fit()}detachWidget(e){this.parent.isAttached&&De.sendMessage(e,ue.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&De.sendMessage(e,ue.Msg.AfterDetach),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){for(let l=0,c=this.rowCount;l!l.isHidden);for(let l=0,c=e.length;l({row:0,column:0,rowSpan:1,columnSpan:1}),changed:a});function e(l){let c=Math.max(0,Math.floor(l.row||0)),u=Math.max(0,Math.floor(l.column||0)),d=Math.max(1,Math.floor(l.rowSpan||0)),f=Math.max(1,Math.floor(l.columnSpan||0));return{row:c,column:u,rowSpan:d,columnSpan:f}}i.normalizeConfig=e;function t(l){return Math.max(0,Math.floor(l))}i.clampValue=t;function r(l,c){let u=i.cellConfigProperty.get(l.widget),d=i.cellConfigProperty.get(c.widget);return u.rowSpan-d.rowSpan}i.rowSpanCmp=r;function n(l,c){let u=i.cellConfigProperty.get(l.widget),d=i.cellConfigProperty.get(c.widget);return u.columnSpan-d.columnSpan}i.columnSpanCmp=n;function s(l,c){for(c=Math.max(1,Math.floor(c));l.lengthc&&(l.length=c)}i.reallocSizers=s;function o(l,c,u,d){if(u=d)return;let h=(d-f)/(u-c+1);for(let m=c;m<=u;++m)l[m].minSize+=h}i.distributeMin=o;function a(l){l.parent&&l.parent.layout instanceof Il&&l.parent.fit()}})(yr||(yr={}));Sm=class extends ue{constructor(e={}){super({node:Nx.createNode()}),this._activeIndex=-1,this._tabFocusIndex=0,this._menus=[],this._childMenu=null,this._overflowMenu=null,this._menuItemSizes=[],this._overflowIndex=-1,this.addClass("lm-MenuBar"),this.setFlag(ue.Flag.DisallowLayout),this.renderer=e.renderer||Sm.defaultRenderer,this._forceItemsPosition=e.forceItemsPosition||{forceX:!0,forceY:!0},this._overflowMenuOptions=e.overflowMenuOptions||{isVisible:!0}}dispose(){this._closeChildMenu(),this._menus.length=0,super.dispose()}get childMenu(){return this._childMenu}get overflowIndex(){return this._overflowIndex}get overflowMenu(){return this._overflowMenu}get contentNode(){return this.node.getElementsByClassName("lm-MenuBar-content")[0]}get activeMenu(){return this._menus[this._activeIndex]||null}set activeMenu(e){this.activeIndex=e?this._menus.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._menus.length)&&(e=-1),e>-1&&this._menus[e].items.length===0&&(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this.update())}get menus(){return this._menus}openActiveMenu(){this._activeIndex!==-1&&(this._openChildMenu(),this._childMenu&&(this._childMenu.activeIndex=-1,this._childMenu.activateNextItem()))}addMenu(e,t=!0){this.insertMenu(this._menus.length,e,t)}insertMenu(e,t,r=!0){this._closeChildMenu();let n=this._menus.indexOf(t),s=Math.max(0,Math.min(e,this._menus.length));if(n===-1){z.insert(this._menus,s,t),t.addClass("lm-MenuBar-menu"),t.aboutToClose.connect(this._onMenuAboutToClose,this),t.menuRequested.connect(this._onMenuMenuRequested,this),t.title.changed.connect(this._onTitleChanged,this),r&&this.update();return}s===this._menus.length&&s--,n!==s&&(z.move(this._menus,n,s),r&&this.update())}removeMenu(e,t=!0){this.removeMenuAt(this._menus.indexOf(e),t)}removeMenuAt(e,t=!0){this._closeChildMenu();let r=z.removeAt(this._menus,e);r&&(r.aboutToClose.disconnect(this._onMenuAboutToClose,this),r.menuRequested.disconnect(this._onMenuMenuRequested,this),r.title.changed.disconnect(this._onTitleChanged,this),r.removeClass("lm-MenuBar-menu"),t&&this.update())}clearMenus(){if(this._menus.length!==0){this._closeChildMenu();for(let e of this._menus)e.aboutToClose.disconnect(this._onMenuAboutToClose,this),e.menuRequested.disconnect(this._onMenuMenuRequested,this),e.title.changed.disconnect(this._onTitleChanged,this),e.removeClass("lm-MenuBar-menu");this._menus.length=0,this.update()}}handleEvent(e){switch(e.type){case"keydown":this._evtKeyDown(e);break;case"mousedown":this._evtMouseDown(e);break;case"mousemove":case"mouseleave":this._evtMouseMove(e);break;case"focusout":this._evtFocusOut(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation();break}}onBeforeAttach(e){this.node.addEventListener("keydown",this),this.node.addEventListener("mousedown",this),this.node.addEventListener("mousemove",this),this.node.addEventListener("mouseleave",this),this.node.addEventListener("focusout",this),this.node.addEventListener("contextmenu",this)}onAfterDetach(e){this.node.removeEventListener("keydown",this),this.node.removeEventListener("mousedown",this),this.node.removeEventListener("mousemove",this),this.node.removeEventListener("mouseleave",this),this.node.removeEventListener("focusout",this),this.node.removeEventListener("contextmenu",this),this._closeChildMenu()}onActivateRequest(e){this.isAttached&&this._focusItemAt(0)}onResize(e){this.update(),super.onResize(e)}onUpdateRequest(e){var t;let r=this._menus,n=this.renderer,s=this._activeIndex,o=this._tabFocusIndex>=0&&this._tabFocusIndex-1?this._overflowIndex:r.length,l=0,c=!1;a=this._overflowMenu!==null?a-1:a;let u=new Array(a);for(let d=0;d{this._tabFocusIndex=d,this.activeIndex=d}}),l+=this._menuItemSizes[d],r[d].title.label===this._overflowMenuOptions.title&&(c=!0,a--);if(this._overflowMenuOptions.isVisible){if(this._overflowIndex>-1&&!c){if(this._overflowMenu===null){let d=(t=this._overflowMenuOptions.title)!==null&&t!==void 0?t:"...";this._overflowMenu=new ya({commands:new Qr}),this._overflowMenu.title.label=d,this._overflowMenu.title.mnemonic=0,this.addMenu(this._overflowMenu,!1)}for(let d=r.length-2;d>=a;d--){let f=this.menus[d];f.title.mnemonic=0,this._overflowMenu.insertItem(0,{type:"submenu",submenu:f}),this.removeMenu(f,!1)}u[a]=n.renderItem({title:this._overflowMenu.title,active:a===s&&r[a].items.length!==0,tabbable:a===o,disabled:r[a].items.length===0,onfocus:()=>{this._tabFocusIndex=a,this.activeIndex=a}}),a++}else if(this._overflowMenu!==null){let d=this._overflowMenu.items,f=this.node.offsetWidth,h=this._overflowMenu.items.length;for(let m=0;mthis._menuItemSizes[p]){let _=d[0].submenu;this._overflowMenu.removeItemAt(0),this.insertMenu(a,_,!1),u[a]=n.renderItem({title:_.title,active:!1,tabbable:a===o,disabled:r[a].items.length===0,onfocus:()=>{this._tabFocusIndex=a,this.activeIndex=a}}),a++}}this._overflowMenu.items.length===0&&(this.removeMenu(this._overflowMenu,!1),u.pop(),this._overflowMenu=null,this._overflowIndex=-1)}}Ht.render(u,this.contentNode),this._updateOverflowIndex()}_updateOverflowIndex(){if(!this._overflowMenuOptions.isVisible)return;let e=this.contentNode.childNodes,t=this.node.offsetWidth,r=0,n=-1,s=e.length;if(this._menuItemSizes.length==0)for(let o=0;ot&&n===-1&&(n=o)}else for(let o=0;ot){n=o;break}this._overflowIndex=n}_evtKeyDown(e){let t=e.keyCode;if(t===9){this.activeIndex=-1;return}if(e.preventDefault(),e.stopPropagation(),t===13||t===32||t===38||t===40){if(this.activeIndex=this._tabFocusIndex,this.activeIndex!==this._tabFocusIndex)return;this.openActiveMenu();return}if(t===27){this._closeChildMenu(),this._focusItemAt(this.activeIndex);return}if(t===37||t===39){let o=t===37?-1:1,a=this._tabFocusIndex+o,l=this._menus.length;for(let c=0;cCe.hitTest(r,e.clientX,e.clientY));if(t===-1){this._closeChildMenu();return}if(e.button===0)if(this._childMenu)this._closeChildMenu(),this.activeIndex=t;else{e.preventDefault();let r=this._positionForMenu(t);ya.saveWindowData(),this.activeIndex=t,this._openChildMenu(r)}}_evtMouseMove(e){let t=z.findFirstIndex(this.contentNode.children,n=>Ce.hitTest(n,e.clientX,e.clientY));if(t===this._activeIndex||t===-1&&this._childMenu)return;let r=t>=0&&this._childMenu?this._positionForMenu(t):null;ya.saveWindowData(),this.activeIndex=t,r&&this._openChildMenu(r)}_positionForMenu(e){let t=this.contentNode.children[e],{left:r,bottom:n}=t.getBoundingClientRect();return{top:n,left:r}}_evtFocusOut(e){!this._childMenu&&!this.node.contains(e.relatedTarget)&&(this.activeIndex=-1)}_focusItemAt(e){let t=this.contentNode.childNodes[e];t&&t.focus()}_openChildMenu(e={}){let t=this.activeMenu;if(!t){this._closeChildMenu();return}let r=this._childMenu;if(r===t)return;this._childMenu=t,r?r.close():document.addEventListener("mousedown",this,!0),this._tabFocusIndex=this.activeIndex,De.sendMessage(this,ue.Msg.UpdateRequest);let{left:n,top:s}=e;(typeof n>"u"||typeof s>"u")&&({left:n,top:s}=this._positionForMenu(this._activeIndex)),r||this.addClass("lm-mod-active"),t.items.length>0&&t.open(n,s,this._forceItemsPosition)}_closeChildMenu(){if(!this._childMenu)return;this.removeClass("lm-mod-active"),document.removeEventListener("mousedown",this,!0);let e=this._childMenu;this._childMenu=null,e.close(),this.activeIndex=-1}_onMenuAboutToClose(e){e===this._childMenu&&(this.removeClass("lm-mod-active"),document.removeEventListener("mousedown",this,!0),this._childMenu=null,this.activeIndex=-1)}_onMenuMenuRequested(e,t){if(e!==this._childMenu)return;let r=this._activeIndex,n=this._menus.length;switch(t){case"next":this.activeIndex=r===n-1?0:r+1;break;case"previous":this.activeIndex=r===0?n-1:r-1;break}this.openActiveMenu()}_onTitleChanged(){this.update()}};(function(i){class e{renderItem(r){let n=this.createItemClass(r),s=this.createItemDataset(r),o=this.createItemARIA(r);return ye.li({className:n,dataset:s,...r.disabled?{}:{tabindex:r.tabbable?"0":"-1"},onfocus:r.onfocus,...o},this.renderIcon(r),this.renderLabel(r))}renderIcon(r){let n=this.createIconClass(r);return ye.div({className:n},r.title.icon,r.title.iconLabel)}renderLabel(r){let n=this.formatLabel(r);return ye.div({className:"lm-MenuBar-itemLabel"},n)}createItemClass(r){let n="lm-MenuBar-item";return r.title.className&&(n+=` ${r.title.className}`),r.active&&!r.disabled&&(n+=" lm-mod-active"),n}createItemDataset(r){return r.title.dataset}createItemARIA(r){return{role:"menuitem","aria-haspopup":"true","aria-disabled":r.disabled?"true":"false"}}createIconClass(r){let n="lm-MenuBar-itemIcon",s=r.title.iconClass;return s?`${n} ${s}`:n}formatLabel(r){let{label:n,mnemonic:s}=r.title;if(s<0||s>=n.length)return n;let o=n.slice(0,s),a=n.slice(s+1),l=n[s],c=ye.span({className:"lm-MenuBar-itemMnemonic"},l);return[o,c,a]}}i.Renderer=e,i.defaultRenderer=new e})(Sm||(Sm={}));(function(i){function e(){let r=document.createElement("div"),n=document.createElement("ul");return n.className="lm-MenuBar-content",r.appendChild(n),n.setAttribute("role","menubar"),r}i.createNode=e;function t(r,n,s){let o=-1,a=-1,l=!1,c=n.toUpperCase();for(let u=0,d=r.length;u=0&&m1&&this.widgets.forEach(t=>{t.hiddenMode=this._hiddenMode}))}dispose(){for(let e of this._items)e.dispose();this._box=null,this._items.length=0,super.dispose()}attachWidget(e,t){this._hiddenMode===ue.HiddenMode.Scale&&this._items.length>0?(this._items.length===1&&(this.widgets[0].hiddenMode=ue.HiddenMode.Scale),t.hiddenMode=ue.HiddenMode.Scale):t.hiddenMode=ue.HiddenMode.Display,z.insert(this._items,e,new hu(t)),this.parent.isAttached&&De.sendMessage(t,ue.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.isAttached&&De.sendMessage(t,ue.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,r){z.move(this._items,e,t),this.parent.update()}detachWidget(e,t){let r=z.removeAt(this._items,e);this.parent.isAttached&&De.sendMessage(t,ue.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&De.sendMessage(t,ue.Msg.AfterDetach),r.widget.node.style.zIndex="",this._hiddenMode===ue.HiddenMode.Scale&&(t.hiddenMode=ue.HiddenMode.Display,this._items.length===1&&(this._items[0].widget.hiddenMode=ue.HiddenMode.Display)),r.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){let e=0,t=0;for(let s=0,o=this._items.length;s{eS();d3=L(J1());Vp();Dx=L(Zr());qp();As();o3();UZ="jp-OutputArea",a3="jp-OutputArea-child",l3="jp-OutputArea-output",c3="jp-OutputArea-prompt",VZ="jp-OutputArea-stdin-hiding",GZ="jp-OutputPrompt",XZ="jp-OutputArea-executeResult",KZ="jp-OutputArea-stdin-item",YZ="jp-Stdin",JZ="jp-Stdin-prompt",ZZ="jp-Stdin-input",QZ="jp-OutputArea-promptOverlay",hs=class extends ue{constructor(e){var t,r,n,s,o;super(),this.outputLengthChanged=new Me(this),this._onIOPub=l=>{let c=this.model,u=l.header.msg_type,d,h=(l.content.transient||{}).display_id,m;switch(u){case"execute_result":case"display_data":case"stream":case"error":d={...l.content,output_type:u},c.add(d);break;case"clear_output":{let p=l.content.wait;c.clear(p);break}case"update_display_data":if(d={...l.content,output_type:"display_data"},m=this._displayIdMap.get(h),m)for(let p of m)c.set(p,d);break;case"status":{l.content.execution_state==="idle"&&(this._pendingInput=!1);break}default:break}h&&u==="display_data"&&(m=this._displayIdMap.get(h)||[],m.push(c.length-1),this._displayIdMap.set(h,m))},this._onExecuteReply=l=>{let c=this.model,u=l.content;if(u.status!=="ok")return;let d=u&&u.payload;if(!d||!d.length)return;let f=d.filter(p=>p.source==="page");if(!f.length)return;let m={output_type:"display_data",data:JSON.parse(JSON.stringify(f[0])).data,metadata:{}};c.add(m)},this._displayIdMap=new Map,this._minHeightTimeout=null,this._inputRequested=new Me(this),this._toggleScrolling=new Me(this),this._initialize=new Me(this),this._outputTracker=new hL({namespace:Dx.UUID.uuid4()}),this._inputHistoryScope="global",this._pendingInput=!1,this._showInputPlaceholder=!0,super.layout=new Hc,this.addClass(UZ),this.contentFactory=(t=e.contentFactory)!==null&&t!==void 0?t:hs.defaultContentFactory,this.rendermime=e.rendermime,this._maxNumberOutputs=(r=e.maxNumberOutputs)!==null&&r!==void 0?r:1/0,this._translator=(n=e.translator)!==null&&n!==void 0?n:Ds,this._inputHistoryScope=(s=e.inputHistoryScope)!==null&&s!==void 0?s:"global",this._showInputPlaceholder=(o=e.showInputPlaceholder)!==null&&o!==void 0?o:!0;let a=this.model=e.model;for(let l=0;l{this._setOutput(l,c)})}a.changed.connect(this.onModelChanged,this),a.stateChanged.connect(this.onStateChanged,this),e.promptOverlay&&this._addPromptOverlay()}get layout(){return super.layout}get widgets(){return this.layout.widgets}get future(){return this._future}set future(e){if(this.model.isDisposed)throw Error("Model is disposed");this._future!==e&&(this._future&&this._future.dispose(),this._future=e,e.done.finally(()=>{this._pendingInput=!1}).catch(()=>{}),this.model.clear(),this.widgets.length&&(this._clear(),this.outputLengthChanged.emit(Math.min(this.model.length,this._maxNumberOutputs))),e.onIOPub=this._onIOPub,e.onReply=this._onExecuteReply,e.onStdin=t=>{d3.KernelMessage.isInputRequestMsg(t)&&this.onInputRequest(t,e)})}get inputRequested(){return this._inputRequested}get pendingInput(){return this._pendingInput}get maxNumberOutputs(){return this._maxNumberOutputs}set maxNumberOutputs(e){if(e<=0){console.warn("OutputArea.maxNumberOutputs must be strictly positive.");return}let t=this._maxNumberOutputs;this._maxNumberOutputs=e,t{this._setOutput(t.newIndex,r)});break;case"remove":if(this.widgets.length)if(this.model.length===0)this._clear();else{let n=t.oldIndex;for(let s=0;s{this._toggleScrolling.emit()}),this.node.appendChild(e);let t=()=>{let n=this.node.querySelector(".jp-OutputArea-child");n&&(e.style.height=`${Math.max(n.getBoundingClientRect().height,this.node.getBoundingClientRect().height)}px`)},r=new ResizeObserver(t);r.observe(this.node),this.disposed.connect(()=>{r.disconnect()}),requestAnimationFrame(()=>{this._initialize.emit()})}_moveDisplayIdIndices(e,t){this._displayIdMap.forEach(r=>{let n=e+t,s=r.length;for(let o=s-1;o>=0;--o){let a=r[o];a>=e&&a=n&&(r[o]-=t)}})}onStateChanged(e,t){let r=Math.min(this.model.length,this._maxNumberOutputs);if(t){if(t>=this._maxNumberOutputs)return;this._setOutput(t,this.model.get(t))}else for(let n=0;n{this.isDisposed||(this.node.style.minHeight="")},50)}onInputRequest(e,t){let r=this.contentFactory,n=e.content.prompt,s=e.content.password,o=new fu;o.addClass(a3),o.addClass(KZ);let a=r.createOutputPrompt();a.addClass(c3),o.addWidget(a),this._pendingInput=!0;let l=r.createStdin({parent_header:e.header,prompt:n,password:s,future:t,translator:this._translator,inputHistoryScope:this._inputHistoryScope,showInputPlaceholder:this._showInputPlaceholder});l.addClass(l3),o.addWidget(l),this.model.length>=this.maxNumberOutputs&&(this.maxNumberOutputs=this.model.length),this._inputRequested.emit(l);let c=l.node.getElementsByTagName("input")[0];l.value.then(u=>{this.model.length>=this.maxNumberOutputs&&(this.maxNumberOutputs=this.model.length+1),o.addClass(VZ),this.model.add({output_type:"stream",name:"stdin",text:u+` +`}),c.focus(),this._pendingInput=!1,window.setTimeout(()=>{let d=document.activeElement;o.dispose(),d&&d instanceof HTMLElement&&d.focus()},500)}),this.layout.addWidget(o)}_setOutput(e,t){if(e>=this._maxNumberOutputs)return;let r=this.layout.widgets[e],n=r.widgets?r.widgets.filter(o=>"renderModel"in 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Contributing

We very much welcome contributions! If you have an idea or proposal for a new +tutorial, please open an issue +with an outline.

Don’t worry if English is not your first language, or if you can only come up +with a rough draft. Open source is a community effort. Do your best – we’ll help +fix issues.

Images and real-life data make text more engaging and powerful, but be sure what +you use is appropriately licensed and available. Here again, even a rough idea +for artwork can be polished by others.

Building the website

Quickstart

Set up a development environment with the dependencies listed in +requirements.txt. +For example, using the built-in venv module:

python -m venv np-tutorials
+source np-tutorials/bin/activate
+python -m pip install -r requirements.txt

The site can then be built with:

jupyter-book start --execute

This will execute all the notebooks and start a web server to view the rendered +content locally. +View the rendered site by opening the localhost:30xy in your preferred browser (the exact port number will be printed in your terminal).

Adding your own tutorials

If you have your own tutorial in the form of a Jupyter notebook (an .ipynb +file) and you’d like to try add it out to the repository, follow the steps below.

Create an issue

Go to https://github.com/numpy/numpy-tutorials/issues and create a new issue +with your proposal. +Give as much detail as you can about what kind of content you would like to +write (tutorial, how-to) and what you plan to cover. +We will try to respond as quickly as possible with comments, if applicable.

Check out our suggested template

You can use this template to make your content consistent with our existing +tutorials.

Open a pull request

For more information about GitHub and its workflow, you can see +this document.

Features
Masked Arrays
Features
Style Guide
\ No newline at end of file diff --git a/environment.yml b/environment.yml deleted file mode 100644 index 769fb7b0..00000000 --- a/environment.yml +++ /dev/null @@ -1,18 +0,0 @@ -name: numpy-tutorials -channels: - - conda-forge -dependencies: - # For running the tutorials - - numpy - - scipy - - pooch - - matplotlib - - pandas - - imageio - # For building the site - - tox - - jupytext - - pip - - pip: - - jupyter-book>=2 - - jupyterlab_myst diff --git a/favicon.ico b/favicon.ico new file mode 100644 index 00000000..edefe2ea Binary files /dev/null and b/favicon.ico differ diff --git a/ignore_testing b/ignore_testing deleted file mode 100644 index 68762fe8..00000000 --- a/ignore_testing +++ /dev/null @@ -1 +0,0 @@ -content/tutorial-style-guide.md diff --git a/index.html b/index.html new file mode 100644 index 00000000..c4a939e7 --- /dev/null +++ b/index.html @@ -0,0 +1,48 @@ +NumPy tutorials - Numpy Tutorials
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NumPy tutorials

Binder

This set of tutorials and educational materials is being developed in the +numpy-tutorials repository, and is +not a part of the NumPy source tree. The goal of this repository is to provide +high-quality resources by the NumPy project, both for self-learning and for +teaching classes with. If you’re interested in adding your own content, check +the Contributing section.

To open a live version of the content, click the launch Binder button above. +To open each of the .md files, right click and select “Open with -> Notebook”. +You can also launch individual tutorials on Binder by clicking on the rocket +icon that appears in the upper-right corner of each tutorial. To download a +local copy of the .ipynb files, you can either +clone this repository +or use the download icon in the upper-right corner of each tutorial.

The following links may be useful:

Note that regular documentation issues for NumPy can be found in the main NumPy +repository (see the Documentation +labels there).

Applications
Moore's Law
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The predicted number of transistors is now","position":{"start":{"line":274,"column":1},"end":{"line":274,"column":1}},"key":"oAM6sTUQLG"}],"key":"JnlrOBT5x5"},{"type":"paragraph","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"children":[{"type":"inlineMath","value":"\\text{transistor\\_count}_{\\text{predicted}} = e^Be^{A\\cdot \\text{year}}","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"html":"transistor_countpredicted=eBeA⋅year\\text{transistor\\_count}_{\\text{predicted}} = e^Be^{A\\cdot \\text{year}}transistor_countpredicted​=eBeA⋅year","key":"j0dEzvbY0F"},{"type":"text","value":".","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"key":"aRZSDTaCVO"}],"key":"SUUJDMSz4d"}],"key":"d50fLTt3ni"},{"type":"block","position":{"start":{"line":280,"column":1},"end":{"line":280,"column":1}},"children":[{"type":"paragraph","position":{"start":{"line":282,"column":1},"end":{"line":287,"column":1}},"children":[{"type":"text","value":"In the next plot, use the\n","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"key":"mn6jgFteRV"},{"type":"link","url":"https://matplotlib.org/gallery/style_sheets/fivethirtyeight.html","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"children":[{"type":"inlineCode","value":"fivethirtyeight","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"key":"jpWOQsMF8y"}],"urlSource":"https://matplotlib.org/gallery/style_sheets/fivethirtyeight.html","key":"pvn3QpIlDz"},{"type":"text","value":"\nstyle sheet.\nThe style sheet replicates\n","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"key":"ypNJwVvbpY"},{"type":"link","url":"https://fivethirtyeight.com","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"children":[{"type":"text","value":"https://​fivethirtyeight​.com","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"key":"o3DdBuRkP9"}],"urlSource":"https://fivethirtyeight.com","key":"NqK7LfluPo"},{"type":"text","value":" elements. Change the matplotlib style with\n","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"key":"lzdU7KjkMt"},{"type":"link","url":"https://matplotlib.org/api/style_api.html#matplotlib.style.use","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"children":[{"type":"inlineCode","value":"plt.style.use","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"key":"PMdG6uZzFm"}],"urlSource":"https://matplotlib.org/api/style_api.html#matplotlib.style.use","key":"pBJpWb0NqQ"},{"type":"text","value":".","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"key":"xXx6W8ixyN"}],"key":"SeK8UxsZ1W"}],"key":"L4etrCz9wX"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"transistor_count_predicted = np.exp(B) * np.exp(A * year)\ntransistor_Moores_law = Moores_law(year)\n\nplt.style.use(\"fivethirtyeight\")\n\nfig, ax = plt.subplots()\nax.semilogy(year, transistor_count, \"s\", label=\"MOS transistor count\")\nax.semilogy(year, transistor_count_predicted, label=\"linear regression\")\n\n\nax.plot(year, transistor_Moores_law, label=\"Moore's Law\")\nax.set_title(\n \"MOS transistor count per microprocessor\\n\"\n + \"every two years \\n\"\n + \"Transistor count was x{:.2f} higher\".format(np.exp(A * 2))\n)\nax.set_xlabel(\"year introduced\")\nax.set_ylabel(\"# of transistors\\nper microprocessor\")\nax.legend(loc=\"center left\", bbox_to_anchor=(1, 0.5))","key":"vT7yr9UQ7K"},{"type":"outputs","id":"vf1p3lPYd76OsSIkgsl5n","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"ce3d813642e18a448f190708379d17c1","path":"/numpy-tutorials/build/ce3d813642e18a448f190708379d17c1.png"}}},"key":"A9DI7FqtRR"}],"key":"O2B4W57BOg"}],"key":"fcUey43Exs"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"children":[{"type":"emphasis","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"children":[{"type":"text","value":"A scatter plot of MOS transistor count per microprocessor every two years with a red line for the ordinary least squares prediction and an orange line for Moore’s law.","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"key":"w9BLY8mcEH"}],"key":"dPr4D9yqQ4"}],"key":"YRwxTP7jWE"},{"type":"paragraph","position":{"start":{"line":313,"column":1},"end":{"line":318,"column":1}},"children":[{"type":"text","value":"The linear regression captures the increase in the number of transistors\nper semiconductors each year. In 2015, semiconductor manufacturers\nclaimed they could not keep up with Moore’s law anymore. Your analysis\nshows that since 1971, the average increase in transistor count was\nx1.98 every 2 years, but Gordon Moore predicted it would be x2\nevery 2 years. That is an amazing prediction.","position":{"start":{"line":313,"column":1},"end":{"line":313,"column":1}},"key":"KPZ0T89Qp5"}],"key":"VhbCpp6a15"},{"type":"paragraph","position":{"start":{"line":320,"column":1},"end":{"line":323,"column":1}},"children":[{"type":"text","value":"Consider the year 2017. Compare the data to your linear regression\nmodel and Gordon Moore’s prediction. First, get the\ntransistor counts from the year 2017. You can do this with a Boolean\ncomparator,","position":{"start":{"line":320,"column":1},"end":{"line":320,"column":1}},"key":"UPaNfpq0dc"}],"key":"MGM51zMXrp"},{"type":"paragraph","position":{"start":{"line":325,"column":1},"end":{"line":325,"column":1}},"children":[{"type":"inlineCode","value":"year == 2017","position":{"start":{"line":325,"column":1},"end":{"line":325,"column":1}},"key":"YtZO5QVwfu"},{"type":"text","value":".","position":{"start":{"line":325,"column":1},"end":{"line":325,"column":1}},"key":"JtA1hmXtNz"}],"key":"h2JdCkQ8mo"},{"type":"paragraph","position":{"start":{"line":327,"column":1},"end":{"line":328,"column":1}},"children":[{"type":"text","value":"Then, make a prediction for 2017 with ","position":{"start":{"line":327,"column":1},"end":{"line":327,"column":1}},"key":"B626fHE6LA"},{"type":"inlineCode","value":"Moores_law","position":{"start":{"line":327,"column":1},"end":{"line":327,"column":1}},"key":"pD45oIY11T"},{"type":"text","value":" defined above\nand plugging in your best fit constants into your function","position":{"start":{"line":327,"column":1},"end":{"line":327,"column":1}},"key":"pTTcNrOW5V"}],"key":"Jm8VrgBJLi"},{"type":"paragraph","position":{"start":{"line":330,"column":1},"end":{"line":330,"column":1}},"children":[{"type":"inlineMath","value":"\\text{transistor\\_count} = e^{B}e^{A\\cdot \\text{year}}","position":{"start":{"line":330,"column":1},"end":{"line":330,"column":1}},"html":"transistor_count=eBeA⋅year\\text{transistor\\_count} = e^{B}e^{A\\cdot \\text{year}}transistor_count=eBeA⋅year","key":"ynlrVMsJ2k"},{"type":"text","value":".","position":{"start":{"line":330,"column":1},"end":{"line":330,"column":1}},"key":"OLY30bgOLC"}],"key":"bcCb0ID96U"},{"type":"paragraph","position":{"start":{"line":332,"column":1},"end":{"line":341,"column":1}},"children":[{"type":"text","value":"A great way to compare these measurements is to compare your prediction\nand Moore’s prediction to the average transistor count and look at the\nrange of reported values for that year. Use the\n","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"key":"MGG89V9E5N"},{"type":"link","url":"https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"children":[{"type":"inlineCode","value":"plt.plot","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"key":"OkcZoSVCL6"}],"urlSource":"https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html","key":"FuNhGcNy4x"},{"type":"text","value":"\noption,\n","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"key":"mbpEgT1ghY"},{"type":"link","url":"https://matplotlib.org/api/_as_gen/matplotlib.artist.Artist.set_alpha.html","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"children":[{"type":"inlineCode","value":"alpha=0.2","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"key":"mv4RdM6DgV"}],"urlSource":"https://matplotlib.org/api/_as_gen/matplotlib.artist.Artist.set_alpha.html","key":"Y2Q1rVpYBM"},{"type":"text","value":",\nto increase the transparency of the data. The more opaque the points\nappear, the more reported values lie on that measurement. The green ","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"key":"p6m69yzxna"},{"type":"inlineMath","value":"+","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"html":"+++","key":"Qls2p687FQ"},{"type":"text","value":"\nis the average reported transistor count for 2017. Plot your predictions\nfor ","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"key":"wzkKm7N8L2"},{"type":"inlineMath","value":"\\pm\\frac{1}{2}","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"html":"±12\\pm\\frac{1}{2}±21​","key":"mRD3JHGoC2"},{"type":"text","value":" years.","position":{"start":{"line":332,"column":1},"end":{"line":332,"column":1}},"key":"Ib3B5noj6B"}],"key":"rI8OC90Uvb"}],"key":"Ncoc8YpO3F"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"transistor_count2017 = transistor_count[year == 2017]\nprint(\n transistor_count2017.max(), transistor_count2017.min(), transistor_count2017.mean()\n)\ny = np.linspace(2016.5, 2017.5)\nyour_model2017 = np.exp(B) * np.exp(A * y)\nMoore_Model2017 = Moores_law(y)\n\nfig, ax = plt.subplots()\nax.plot(\n 2017 * np.ones(np.sum(year == 2017)),\n transistor_count2017,\n \"ro\",\n label=\"2017\",\n alpha=0.2,\n)\nax.plot(2017, transistor_count2017.mean(), \"g+\", markersize=20, mew=6)\n\nax.plot(y, your_model2017, label=\"Your prediction\")\nax.plot(y, Moore_Model2017, label=\"Moores law\")\nax.set_ylabel(\"# of transistors\\nper microprocessor\")\nax.legend()","key":"wFS1PXClYF"},{"type":"outputs","id":"2CfOqjtQqnuoQromtP-nK","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"19200000000.0 250000000.0 7050000000.0\n"},"key":"q3EbFaE2kG"},{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"9bfa54ee176bb8a2f4ed6bc30af95142","path":"/numpy-tutorials/build/9bfa54ee176bb8a2f4ed6bc30af95142.png"}}},"key":"DMtpBns5rc"}],"key":"tyVLCQPGsu"}],"key":"GsAw4DzudZ"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":368,"column":1},"end":{"line":373,"column":1}},"children":[{"type":"text","value":"The result is that your model is close to the mean, but Gordon\nMoore’s prediction is closer to the maximum number of transistors per\nmicroprocessor produced in 2017. Even though semiconductor manufacturers\nthought that the growth would slow, once in 1975 and now again\napproaching 2025, manufacturers are still producing semiconductors every 2 years that\nnearly double the number of transistors.","position":{"start":{"line":368,"column":1},"end":{"line":368,"column":1}},"key":"mmv5jE8Lfk"}],"key":"OL1mlRFKAB"},{"type":"paragraph","position":{"start":{"line":375,"column":1},"end":{"line":377,"column":1}},"children":[{"type":"text","value":"The linear regression model is much better at predicting the\naverage than extreme values because it satisfies the condition to\nminimize ","position":{"start":{"line":375,"column":1},"end":{"line":375,"column":1}},"key":"Q5nz6DgF9n"},{"type":"inlineMath","value":"\\sum |y_i - A\\cdot \\text{year}[i]+B|^2","position":{"start":{"line":375,"column":1},"end":{"line":375,"column":1}},"html":"∑∣yi−A⋅year[i]+B∣2\\sum |y_i - A\\cdot \\text{year}[i]+B|^2∑∣yi​−A⋅year[i]+B∣2","key":"mxksNfPGVK"},{"type":"text","value":".","position":{"start":{"line":375,"column":1},"end":{"line":375,"column":1}},"key":"puHi2k8GGN"}],"key":"yQ63SnpSKB"}],"key":"SFn3w3CWpm"},{"type":"block","position":{"start":{"line":379,"column":1},"end":{"line":379,"column":1}},"children":[{"type":"heading","depth":2,"position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"children":[{"type":"text","value":"Sharing your results as zipped arrays and a csv","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"key":"mcaJ5yGwzU"}],"identifier":"sharing-your-results-as-zipped-arrays-and-a-csv","label":"Sharing your results as zipped arrays and a csv","html_id":"sharing-your-results-as-zipped-arrays-and-a-csv","implicit":true,"key":"IgemrTjA7S"},{"type":"paragraph","position":{"start":{"line":383,"column":1},"end":{"line":386,"column":1}},"children":[{"type":"text","value":"The last step, is to share your findings. You created\nnew arrays that represent a linear regression model and Gordon Moore’s\nprediction. You started this process by importing a csv file into a NumPy\narray using ","position":{"start":{"line":383,"column":1},"end":{"line":383,"column":1}},"key":"uKE4s5GVZI"},{"type":"inlineCode","value":"np.loadtxt","position":{"start":{"line":383,"column":1},"end":{"line":383,"column":1}},"key":"tK5fvdngkb"},{"type":"text","value":", to save your model use two approaches","position":{"start":{"line":383,"column":1},"end":{"line":383,"column":1}},"key":"DTDxzDay7t"}],"key":"gQdxcVeAFX"},{"type":"list","ordered":true,"start":1,"spread":false,"position":{"start":{"line":388,"column":1},"end":{"line":390,"column":1}},"children":[{"type":"listItem","spread":true,"position":{"start":{"line":388,"column":1},"end":{"line":388,"column":1}},"children":[{"type":"paragraph","children":[{"type":"link","url":"https://numpy.org/doc/stable/reference/generated/numpy.savez.html","position":{"start":{"line":388,"column":1},"end":{"line":388,"column":1}},"children":[{"type":"inlineCode","value":"np.savez","position":{"start":{"line":388,"column":1},"end":{"line":388,"column":1}},"key":"oNgnueTjcZ"}],"urlSource":"https://numpy.org/doc/stable/reference/generated/numpy.savez.html","key":"Nx1UdfKomA"},{"type":"text","value":": save NumPy arrays for other Python sessions","position":{"start":{"line":388,"column":1},"end":{"line":388,"column":1}},"key":"Q3rqoTm7hn"}],"key":"SPHvBr5hBK"}],"key":"dbGnk6bzUR"},{"type":"listItem","spread":true,"position":{"start":{"line":389,"column":1},"end":{"line":390,"column":1}},"children":[{"type":"paragraph","children":[{"type":"link","url":"https://numpy.org/doc/stable/reference/generated/numpy.savetxt.html","position":{"start":{"line":389,"column":1},"end":{"line":389,"column":1}},"children":[{"type":"inlineCode","value":"np.savetxt","position":{"start":{"line":389,"column":1},"end":{"line":389,"column":1}},"key":"AlwqoA5WEG"}],"urlSource":"https://numpy.org/doc/stable/reference/generated/numpy.savetxt.html","key":"H8ZgLWnrwV"},{"type":"text","value":": save a csv file with the original data and your predicted data","position":{"start":{"line":389,"column":1},"end":{"line":389,"column":1}},"key":"O9mck0AEBT"}],"key":"m886neBF9F"}],"key":"s3w7xW7UQS"}],"key":"UK3zHeqnXM"},{"type":"heading","depth":3,"position":{"start":{"line":391,"column":1},"end":{"line":391,"column":1}},"children":[{"type":"text","value":"Zipping the arrays into a file","position":{"start":{"line":391,"column":1},"end":{"line":391,"column":1}},"key":"Pap0iW6Zul"}],"identifier":"zipping-the-arrays-into-a-file","label":"Zipping the arrays into a file","html_id":"zipping-the-arrays-into-a-file","implicit":true,"key":"X5aWT97HL9"},{"type":"paragraph","position":{"start":{"line":392,"column":1},"end":{"line":397,"column":1}},"children":[{"type":"text","value":"Using ","position":{"start":{"line":392,"column":1},"end":{"line":392,"column":1}},"key":"kEcY1UWShV"},{"type":"inlineCode","value":"np.savez","position":{"start":{"line":392,"column":1},"end":{"line":392,"column":1}},"key":"sPSxGFhuEr"},{"type":"text","value":", you can save thousands of arrays and give them names. The\nfunction ","position":{"start":{"line":392,"column":1},"end":{"line":392,"column":1}},"key":"pRjrsLDgwH"},{"type":"inlineCode","value":"np.load","position":{"start":{"line":392,"column":1},"end":{"line":392,"column":1}},"key":"Sp592bJ7Nh"},{"type":"text","value":" will load the arrays back into the workspace as a\ndictionary. You’ll save five arrays so the next user will have the year,\ntransistor count, predicted transistor count, Gordon Moore’s\npredicted count, and fitting constants. Add one more variable that other users can use to\nunderstand the model, ","position":{"start":{"line":392,"column":1},"end":{"line":392,"column":1}},"key":"ELASmiSEDe"},{"type":"inlineCode","value":"notes","position":{"start":{"line":392,"column":1},"end":{"line":392,"column":1}},"key":"o2vGrbr6o0"},{"type":"text","value":".","position":{"start":{"line":392,"column":1},"end":{"line":392,"column":1}},"key":"ZxYs7giv05"}],"key":"WAO2eD1RB6"}],"key":"Gtw6RLrRup"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"notes = \"the arrays in this file are the result of a linear regression model\\n\"\nnotes += \"the arrays include\\nyear: year of manufacture\\n\"\nnotes += \"transistor_count: number of transistors reported by manufacturers in a given year\\n\"\nnotes += \"transistor_count_predicted: linear regression model = exp({:.2f})*exp({:.2f}*year)\\n\".format(\n B, A\n)\nnotes += \"transistor_Moores_law: Moores law =exp({:.2f})*exp({:.2f}*year)\\n\".format(\n B_M, A_M\n)\nnotes += \"regression_csts: linear regression constants A and B for log(transistor_count)=A*year+B\"\nprint(notes)","key":"e8u4jbtSMd"},{"type":"outputs","id":"D94fkyy7I6TYa63HdlfUU","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"the arrays in this file are the result of a linear regression model\nthe arrays include\nyear: year of manufacture\ntransistor_count: number of transistors reported by manufacturers in a given year\ntransistor_count_predicted: linear regression model = exp(-666.33)*exp(0.34*year)\ntransistor_Moores_law: Moores law =exp(-675.38)*exp(0.35*year)\nregression_csts: linear regression constants A and B for log(transistor_count)=A*year+B\n"},"key":"CxQPOV5dEx"}],"key":"WMHAQTXLk3"}],"key":"mJgBYbL2h5"},{"type":"block","children":[],"key":"hKzliIYovn"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"np.savez(\n \"mooreslaw_regression.npz\",\n notes=notes,\n year=year,\n transistor_count=transistor_count,\n transistor_count_predicted=transistor_count_predicted,\n transistor_Moores_law=transistor_Moores_law,\n regression_csts=(A, B),\n)","key":"XRojmY7jfv"},{"type":"outputs","id":"dYfwUBFe_z9CRgDhbppVF","children":[],"key":"gyZCqorRPE"}],"key":"Wo93vbyLUf"},{"type":"block","children":[],"key":"IQNfzOiHB8"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"results = np.load(\"mooreslaw_regression.npz\")","key":"WTKbQH99k4"},{"type":"outputs","id":"FBRW3vz81qwOdAy55ICGY","children":[],"key":"UxyGsvahzq"}],"key":"BEqKneRpPv"},{"type":"block","children":[],"key":"OrxWjiV2hW"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"print(results[\"regression_csts\"][1])","key":"Cg9fSYnCIG"},{"type":"outputs","id":"dIHreYK0pEecia3J-tBky","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"-666.3264063536233\n"},"key":"NxJYqsjopD"}],"key":"uZNMXOC8Gs"}],"key":"hqv7u5FRnJ"},{"type":"block","children":[],"key":"bcqvfHhQOE"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"! ls","key":"xScFhIN51k"},{"type":"outputs","id":"mM5fV0J-3-RYZxEjJ_JeH","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"_static\t\t\t\t tutorial-ma.md\r\nair-quality-data.csv\t\t tutorial-plotting-fractals\r\ncontributing.md\t\t\t tutorial-plotting-fractals.md\r\nindex.md\t\t\t tutorial-static_equilibrium.md\r\nmooreslaw-tutorial.md\t\t tutorial-style-guide.md\r\nmooreslaw_regression.npz\t tutorial-svd.md\r\nsave-load-arrays.md\t\t tutorial-x-ray-image-processing\r\ntransistor_data.csv\t\t tutorial-x-ray-image-processing.md\r\ntutorial-air-quality-analysis.md who_covid_19_sit_rep_time_series.csv\r\ntutorial-deep-learning-on-mnist.md\r\n"},"key":"we30aLWqyU"}],"key":"E4KCWJ322t"}],"key":"H5FKd6g42k"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":437,"column":1},"end":{"line":442,"column":1}},"children":[{"type":"text","value":"The benefit of ","position":{"start":{"line":437,"column":1},"end":{"line":437,"column":1}},"key":"cu2ark0csx"},{"type":"inlineCode","value":"np.savez","position":{"start":{"line":437,"column":1},"end":{"line":437,"column":1}},"key":"ZDnGiiw9ef"},{"type":"text","value":" is you can save hundreds of arrays with\ndifferent shapes and types. Here, you saved 4 arrays that are double\nprecision floating point numbers shape = ","position":{"start":{"line":437,"column":1},"end":{"line":437,"column":1}},"key":"UOuswUgreC"},{"type":"inlineCode","value":"(179,)","position":{"start":{"line":437,"column":1},"end":{"line":437,"column":1}},"key":"LIi94pbMYq"},{"type":"text","value":", one array that was\ntext, and one array of double precision floating point numbers shape =\n","position":{"start":{"line":437,"column":1},"end":{"line":437,"column":1}},"key":"XWABLgZBEe"},{"type":"inlineCode","value":"(2,).","position":{"start":{"line":437,"column":1},"end":{"line":437,"column":1}},"key":"OF2rkor2R2"},{"type":"text","value":" This is the preferred method for saving NumPy arrays for use in\nanother analysis.","position":{"start":{"line":437,"column":1},"end":{"line":437,"column":1}},"key":"mcGMsgbLzu"}],"key":"ODaKxVV0p7"},{"type":"heading","depth":3,"position":{"start":{"line":444,"column":1},"end":{"line":444,"column":1}},"children":[{"type":"text","value":"Creating your own comma separated value file","position":{"start":{"line":444,"column":1},"end":{"line":444,"column":1}},"key":"RHaVDkLtVo"}],"identifier":"creating-your-own-comma-separated-value-file","label":"Creating your own comma separated value file","html_id":"creating-your-own-comma-separated-value-file","implicit":true,"key":"iUCKHa4eke"},{"type":"paragraph","position":{"start":{"line":446,"column":1},"end":{"line":449,"column":1}},"children":[{"type":"text","value":"If you want to share data and view the results in a table, then you have to\ncreate a text file. Save the data using ","position":{"start":{"line":446,"column":1},"end":{"line":446,"column":1}},"key":"qhvU7iorvm"},{"type":"inlineCode","value":"np.savetxt","position":{"start":{"line":446,"column":1},"end":{"line":446,"column":1}},"key":"UVbZJWXDgs"},{"type":"text","value":". This\nfunction is more limited than ","position":{"start":{"line":446,"column":1},"end":{"line":446,"column":1}},"key":"ShveXcC42K"},{"type":"inlineCode","value":"np.savez","position":{"start":{"line":446,"column":1},"end":{"line":446,"column":1}},"key":"drCcwktHCt"},{"type":"text","value":". Delimited files, like csv’s,\nneed 2D arrays.","position":{"start":{"line":446,"column":1},"end":{"line":446,"column":1}},"key":"ENelTnOGlV"}],"key":"eRqTjzC06V"},{"type":"paragraph","position":{"start":{"line":451,"column":1},"end":{"line":452,"column":1}},"children":[{"type":"text","value":"Prepare the data for export by creating a new 2D array whose columns\ncontain the data of interest.","position":{"start":{"line":451,"column":1},"end":{"line":451,"column":1}},"key":"eVf0t1amcz"}],"key":"JN9JreAfdA"},{"type":"paragraph","position":{"start":{"line":454,"column":1},"end":{"line":456,"column":1}},"children":[{"type":"text","value":"Use the ","position":{"start":{"line":454,"column":1},"end":{"line":454,"column":1}},"key":"df7A3fUrHh"},{"type":"inlineCode","value":"header","position":{"start":{"line":454,"column":1},"end":{"line":454,"column":1}},"key":"EnxdVnJ7Dg"},{"type":"text","value":" option to describe the data and the columns of\nthe file. Define another variable that contains file\ninformation as ","position":{"start":{"line":454,"column":1},"end":{"line":454,"column":1}},"key":"rrfSylk13W"},{"type":"inlineCode","value":"head","position":{"start":{"line":454,"column":1},"end":{"line":454,"column":1}},"key":"YEcn3Romjw"},{"type":"text","value":".","position":{"start":{"line":454,"column":1},"end":{"line":454,"column":1}},"key":"Ssl2U0vcX7"}],"key":"MFTLEDV1XM"}],"key":"sroIskeBgN"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"head = \"the columns in this file are the result of a linear regression model\\n\"\nhead += \"the columns include\\nyear: year of manufacture\\n\"\nhead += \"transistor_count: number of transistors reported by manufacturers in a given year\\n\"\nhead += \"transistor_count_predicted: linear regression model = exp({:.2f})*exp({:.2f}*year)\\n\".format(\n B, A\n)\nhead += \"transistor_Moores_law: Moores law =exp({:.2f})*exp({:.2f}*year)\\n\".format(\n B_M, A_M\n)\nhead += \"year:, transistor_count:, transistor_count_predicted:, transistor_Moores_law:\"\nprint(head)","key":"pthi6U1Xpe"},{"type":"outputs","id":"32Oz0B5nxeMfLbMnX5ZZF","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"the columns in this file are the result of a linear regression model\nthe columns include\nyear: year of manufacture\ntransistor_count: number of transistors reported by manufacturers in a given year\ntransistor_count_predicted: linear regression model = exp(-666.33)*exp(0.34*year)\ntransistor_Moores_law: Moores law =exp(-675.38)*exp(0.35*year)\nyear:, transistor_count:, transistor_count_predicted:, transistor_Moores_law:\n"},"key":"qH2QrhltM9"}],"key":"GGHna62sSx"}],"key":"kSmYR23ymd"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":472,"column":1},"end":{"line":482,"column":1}},"children":[{"type":"text","value":"Build a single 2D array to export to csv. Tabular data is inherently two\ndimensional. You need to organize your data to fit this 2D structure.\nUse ","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"pjPXgRAVq8"},{"type":"inlineCode","value":"year","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"gyrc0Zu3l2"},{"type":"text","value":", ","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"akWlz3gNSk"},{"type":"inlineCode","value":"transistor_count","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"Zfh6TIedao"},{"type":"text","value":", ","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"sa9cJz7Q2w"},{"type":"inlineCode","value":"transistor_count_predicted","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"EzvaI1zPFN"},{"type":"text","value":", and\n","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"B7ryLqUCjV"},{"type":"inlineCode","value":"transistor_Moores_law","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"otz3JqAMtG"},{"type":"text","value":" as the first through fourth columns,\nrespectively. Put the calculated constants in the header since they do\nnot fit the ","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"GFSD3sAvBj"},{"type":"inlineCode","value":"(179,)","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"k4JDCl5xdz"},{"type":"text","value":" shape. The\n","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"jvvbsmS8JK"},{"type":"link","url":"https://numpy.org/doc/stable/reference/generated/numpy.block.html","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"children":[{"type":"inlineCode","value":"np.block","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"BNXYcgSma2"}],"urlSource":"https://numpy.org/doc/stable/reference/generated/numpy.block.html","key":"lijcWvvQuc"},{"type":"text","value":"\nfunction appends arrays together to create a new, larger array. Arrange\nthe 1D vectors as columns using\n","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"ASHD6IfZQL"},{"type":"link","url":"https://numpy.org/doc/stable/reference/constants.html","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"children":[{"type":"inlineCode","value":"np.newaxis","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"L6Zu8E1tQz"}],"urlSource":"https://numpy.org/doc/stable/reference/constants.html","key":"ffCGpzZNi1"},{"type":"text","value":"\ne.g.","position":{"start":{"line":472,"column":1},"end":{"line":472,"column":1}},"key":"sY99DvQykl"}],"key":"Oct3ZHg20h"},{"type":"code","lang":"python","value":">>> year.shape\n(179,)\n>>> year[:,np.newaxis].shape\n(179,1)","position":{"start":{"line":484,"column":1},"end":{"line":489,"column":1}},"key":"Sugr8wlCdh"}],"key":"jOO89rwFpv"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"output = np.block(\n [\n year[:, np.newaxis],\n transistor_count[:, np.newaxis],\n transistor_count_predicted[:, np.newaxis],\n transistor_Moores_law[:, np.newaxis],\n ]\n)","key":"GbKqoPhvc7"},{"type":"outputs","id":"UyIKkRyqH7EGqxASICYte","children":[],"key":"Khgbi3pe0X"}],"key":"HTJDvsEEz5"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":502,"column":1},"end":{"line":503,"column":1}},"children":[{"type":"text","value":"Creating the ","position":{"start":{"line":502,"column":1},"end":{"line":502,"column":1}},"key":"o2IlIFk5rJ"},{"type":"inlineCode","value":"mooreslaw_regression.csv","position":{"start":{"line":502,"column":1},"end":{"line":502,"column":1}},"key":"lqUBHGtYuz"},{"type":"text","value":" with ","position":{"start":{"line":502,"column":1},"end":{"line":502,"column":1}},"key":"ttICRLiJ6i"},{"type":"inlineCode","value":"np.savetxt","position":{"start":{"line":502,"column":1},"end":{"line":502,"column":1}},"key":"yWBZcGjqfr"},{"type":"text","value":", use three\noptions to create the desired file format:","position":{"start":{"line":502,"column":1},"end":{"line":502,"column":1}},"key":"mz3BuSkF1m"}],"key":"QMUOkjU6BU"},{"type":"list","ordered":false,"spread":false,"position":{"start":{"line":505,"column":1},"end":{"line":508,"column":1}},"children":[{"type":"listItem","spread":true,"position":{"start":{"line":505,"column":1},"end":{"line":505,"column":1}},"children":[{"type":"paragraph","children":[{"type":"inlineCode","value":"X = output","position":{"start":{"line":505,"column":1},"end":{"line":505,"column":1}},"key":"Yhs27mqWb8"},{"type":"text","value":" : use ","position":{"start":{"line":505,"column":1},"end":{"line":505,"column":1}},"key":"u9PykbK9DY"},{"type":"inlineCode","value":"output","position":{"start":{"line":505,"column":1},"end":{"line":505,"column":1}},"key":"b1vHaUxkML"},{"type":"text","value":" block to write the data into the file","position":{"start":{"line":505,"column":1},"end":{"line":505,"column":1}},"key":"ZIRCuaGNvn"}],"key":"DhVnaq7Hod"}],"key":"eSyTe5LFmL"},{"type":"listItem","spread":true,"position":{"start":{"line":506,"column":1},"end":{"line":506,"column":1}},"children":[{"type":"paragraph","children":[{"type":"inlineCode","value":"delimiter = ','","position":{"start":{"line":506,"column":1},"end":{"line":506,"column":1}},"key":"OCNJKfayjw"},{"type":"text","value":" : use commas to separate columns in the file","position":{"start":{"line":506,"column":1},"end":{"line":506,"column":1}},"key":"uXKGbD0yo5"}],"key":"NMQVTqvqjb"}],"key":"DSHvfumvVk"},{"type":"listItem","spread":true,"position":{"start":{"line":507,"column":1},"end":{"line":508,"column":1}},"children":[{"type":"paragraph","children":[{"type":"inlineCode","value":"header = head","position":{"start":{"line":507,"column":1},"end":{"line":507,"column":1}},"key":"jm8lCny01x"},{"type":"text","value":" : use the header ","position":{"start":{"line":507,"column":1},"end":{"line":507,"column":1}},"key":"dNWwHw8WQZ"},{"type":"inlineCode","value":"head","position":{"start":{"line":507,"column":1},"end":{"line":507,"column":1}},"key":"DfR7erIbP6"},{"type":"text","value":" defined above","position":{"start":{"line":507,"column":1},"end":{"line":507,"column":1}},"key":"nAgodYia0c"}],"key":"Tbfp7HtfPc"}],"key":"KpAvhPlXNt"}],"key":"Mvog8QEbPJ"}],"key":"rNkLAJ5nxc"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"np.savetxt(\"mooreslaw_regression.csv\", X=output, delimiter=\",\", header=head)","key":"hI4n1WZLPb"},{"type":"outputs","id":"TB8A9SDNuHDKH_XS4a8aD","children":[],"key":"o1gKErltcV"}],"key":"psTlGNE566"},{"type":"block","children":[],"key":"ya6p684NyN"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"! 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Gordon Moore predicted the number of transistors would\ndouble every two years from 1965 through 1975, but the average growth\nhas maintained a consistent increase of ","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"key":"rGXIkSCeUc"},{"type":"inlineMath","value":"\\times 1.98 \\pm 0.01","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"html":"×1.98±0.01\\times 1.98 \\pm 0.01×1.98±0.01","key":"kt1t6WK28g"},{"type":"text","value":" every two\nyears from 1971 through 2019. In 2015, Moore revised his prediction to\nsay Moore’s law should hold until 2025.\n[","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"key":"VpwhnX86Y3"},{"type":"link","url":"https://spectrum.ieee.org/computing/hardware/gordon-moore-the-man-whose-name-means-progress","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"children":[{"type":"text","value":"2","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"key":"G7bRNvRdAI"}],"urlSource":"https://spectrum.ieee.org/computing/hardware/gordon-moore-the-man-whose-name-means-progress","key":"K0n46PbQyy"},{"type":"text","value":"].\nYou can share these results as a zipped NumPy array file,\n","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"key":"wi6lrwMBaS"},{"type":"inlineCode","value":"mooreslaw_regression.npz","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"key":"epQ9pgPrVf"},{"type":"text","value":", or as another csv,\n","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"key":"gsKcwUyZFS"},{"type":"inlineCode","value":"mooreslaw_regression.csv","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"key":"NylIZxQYEw"},{"type":"text","value":". The amazing progress in semiconductor\nmanufacturing has enabled new industries and computational power. This\nanalysis should give you a small insight into how incredible this growth\nhas been over the last half-century.","position":{"start":{"line":519,"column":1},"end":{"line":519,"column":1}},"key":"O5lgTAJfPu"}],"key":"aUzfS0PV1V"}],"key":"DwvBtileSg"},{"type":"block","position":{"start":{"line":535,"column":1},"end":{"line":535,"column":1}},"children":[{"type":"heading","depth":2,"position":{"start":{"line":537,"column":1},"end":{"line":537,"column":1}},"children":[{"type":"text","value":"References","position":{"start":{"line":537,"column":1},"end":{"line":537,"column":1}},"key":"JAl8rm1kvJ"}],"identifier":"references","label":"References","html_id":"references","implicit":true,"key":"h5vCthBAoy"},{"type":"list","ordered":true,"start":1,"spread":false,"position":{"start":{"line":539,"column":1},"end":{"line":541,"column":1}},"children":[{"type":"listItem","spread":true,"position":{"start":{"line":539,"column":1},"end":{"line":539,"column":1}},"children":[{"type":"paragraph","children":[{"type":"link","url":"https://en.wikipedia.org/wiki/Moore%27s_law","position":{"start":{"line":539,"column":1},"end":{"line":539,"column":1}},"children":[{"type":"text","value":"“Moore’s Law.” Wikipedia article. Accessed Oct. 1, 2020.","position":{"start":{"line":539,"column":1},"end":{"line":539,"column":1}},"key":"d0V8ZuZPvX"}],"urlSource":"https://en.wikipedia.org/wiki/Moore%27s_law","data":{"page":"Moore%27s_law","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"zU6LXELzQW"}],"key":"AzGsmmLygr"}],"key":"rWtxaHsJlr"},{"type":"listItem","spread":true,"position":{"start":{"line":540,"column":1},"end":{"line":540,"column":1}},"children":[{"type":"paragraph","children":[{"type":"link","url":"https://spectrum.ieee.org/computing/hardware/gordon-moore-the-man-whose-name-means-progress","position":{"start":{"line":540,"column":1},"end":{"line":540,"column":1}},"children":[{"type":"text","value":"Courtland, Rachel. “Gordon Moore: The Man Whose Name Means Progress.” IEEE Spectrum. 30 Mar. 2015.","position":{"start":{"line":540,"column":1},"end":{"line":540,"column":1}},"key":"dPAW8FvXaS"}],"urlSource":"https://spectrum.ieee.org/computing/hardware/gordon-moore-the-man-whose-name-means-progress","key":"uPcLLQ6183"},{"type":"text","value":".","position":{"start":{"line":540,"column":1},"end":{"line":540,"column":1}},"key":"ONob95Nr5B"}],"key":"TowBP0nzBh"}],"key":"N1WpRdl3eY"},{"type":"listItem","spread":true,"position":{"start":{"line":541,"column":1},"end":{"line":541,"column":1}},"children":[{"type":"paragraph","children":[{"type":"link","url":"https://en.wikipedia.org/wiki/Transistor_count#Microprocessors","position":{"start":{"line":541,"column":1},"end":{"line":541,"column":1}},"children":[{"type":"text","value":"“Transistor Count.” Wikipedia article. Accessed Oct. 1, 2020.","position":{"start":{"line":541,"column":1},"end":{"line":541,"column":1}},"key":"EZHxm7Pk0D"}],"urlSource":"https://en.wikipedia.org/wiki/Transistor_count#Microprocessors","data":{"page":"Transistor_count#Microprocessors","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"PNFgQLLumU"}],"key":"Eae2ojxcg3"}],"key":"etw3yQ6fF5"}],"key":"GXoVC3Gah0"}],"key":"x6bRaThTq1"}],"key":"zDzsuJ5igz"},"references":{"cite":{"order":[],"data":{}}},"footer":{"navigation":{"prev":{"title":"Numpy Tutorials","url":"/","group":"Numpy Tutorials"},"next":{"title":"Deep learning on MNIST","url":"/tutorial-deep-learning-on-mnist","group":"Applications"}}},"domain":"http://localhost:3000"} \ No newline at end of file diff --git a/mooreslaw-tutorial/index.html b/mooreslaw-tutorial/index.html new file mode 100644 index 00000000..a6d99b3f --- /dev/null +++ b/mooreslaw-tutorial/index.html @@ -0,0 +1,303 @@ +Determining Moore’s Law with real data in NumPy - Numpy Tutorials
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Determining Moore’s Law with real data in NumPy

Scatter plot of MOS transistor count per microprocessor every two years as a demonstration of Moore's Law.

The number of transistors reported per a given chip plotted on a log scale in the y axis with the date of introduction on the linear scale x-axis. The blue data points are from a transistor count table. The red line is an ordinary least squares prediction and the orange line is Moore’s law.

What you’ll do

In 1965, engineer Gordon Moore +predicted that +transistors on a chip would double every two years in the coming decade +[1]. +You’ll compare Moore’s prediction against actual transistor counts in +the 53 years following his prediction. You will determine the best-fit constants to describe the exponential growth of transistors on semiconductors compared to Moore’s Law.

Skills you’ll learn

  • Load data from a *.csv file

  • Perform linear regression and predict exponential growth using ordinary least squares

  • You’ll compare exponential growth constants between models

  • Share your analysis in a file:

    • as NumPy zipped files *.npz

    • as a *.csv file

  • Assess the amazing progress semiconductor manufacturers have made in the last five decades

What you’ll need

1. These packages:

imported with the following commands

import matplotlib.pyplot as plt
+import numpy as np

2. Since this is an exponential growth law you need a little background in doing math with natural logs and exponentials.

You’ll use these NumPy and Matplotlib functions:

  • np.loadtxt: this function loads text into a NumPy array

  • np.log: this function takes the natural log of all elements in a NumPy array

  • np.exp: this function takes the exponential of all elements in a NumPy array

  • lambda: this is a minimal function definition for creating a function model

  • plt.semilogy: this function will plot x-y data onto a figure with a linear x-axis and log⁡10\log_{10} y-axis +plt.plot: this function will plot x-y data on linear axes

  • slicing arrays: view parts of the data loaded into the workspace, slice the arrays e.g. x[:10] for the first 10 values in the array, x

  • boolean array indexing: to view parts of the data that match a given condition use boolean operations to index an array

  • np.block: to combine arrays into 2D arrays

  • np.newaxis: to change a 1D vector to a row or column vector

  • np.savez and np.savetxt: these two functions will save your arrays in zipped array format and text, respectively

Building Moore’s law as an exponential function

Your empirical model assumes that the number of transistors per +semiconductor follows an exponential growth,

log⁡(transistor_count)=f(year)=A⋅year+B\log(\text{transistor\_count})= f(\text{year}) = A\cdot \text{year}+B,

where AA and BB are fitting constants. You use semiconductor +manufacturers’ data to find the fitting constants.

You determine these constants for Moore’s law by specifying the +rate for added transistors, 2, and giving an initial number of transistors for a given year.

You state Moore’s law in an exponential form as follows,

transistor_count=eAM⋅year+BM.\text{transistor\_count}= e^{A_M\cdot \text{year} +B_M}.

Where AMA_M and BMB_M are constants that double the number of transistors every two years and start at 2250 transistors in 1971,

  1. transistor_count(year+2)transistor_count(year)=2=eBMeAMyear+2AMeBMeAMyear=e2AM→AM=log⁡(2)2\dfrac{\text{transistor\_count}(\text{year} +2)}{\text{transistor\_count}(\text{year})} = 2 = \dfrac{e^{B_M}e^{A_M \text{year} + 2A_M}}{e^{B_M}e^{A_M \text{year}}} = e^{2A_M} \rightarrow A_M = \frac{\log(2)}{2}

  2. log⁡(2250)=log⁡(2)2⋅1971+BM→BM=log⁡(2250)−log⁡(2)2⋅1971\log(2250) = \frac{\log(2)}{2}\cdot 1971 + B_M \rightarrow B_M = \log(2250)-\frac{\log(2)}{2}\cdot 1971

so Moore’s law stated as an exponential function is

log⁡(transistor_count)=AM⋅year+BM,\log(\text{transistor\_count})= A_M\cdot \text{year}+B_M,

where

AM=0.3466A_M=0.3466

BM=−675.4B_M=-675.4

Since the function represents Moore’s law, define it as a Python +function using +lambda:

A_M = np.log(2) / 2
+B_M = np.log(2250) - A_M * 1971
+Moores_law = lambda year: np.exp(B_M) * np.exp(A_M * year)

In 1971, there were 2250 transistors on the Intel 4004 chip. Use +Moores_law to check the number of semiconductors Gordon Moore would expect +in 1973.

ML_1971 = Moores_law(1971)
+ML_1973 = Moores_law(1973)
+print("In 1973, G. Moore expects {:.0f} transistors on Intels chips".format(ML_1973))
+print("This is x{:.2f} more transistors than 1971".format(ML_1973 / ML_1971))
In 1973, G. Moore expects 4500 transistors on Intels chips
+This is x2.00 more transistors than 1971
+

Loading historical manufacturing data to your workspace

Now, make a prediction based upon the historical data for +semiconductors per chip. The Transistor Count +[3] +each year is in the transistor_data.csv file. Before loading a *.csv +file into a NumPy array, its a good idea to inspect the structure of the +file first. Then, locate the columns of interest and save them to a +variable. Save two columns of the file to the array, data.

Here, print out the first 10 rows of transistor_data.csv. The columns are

ProcessorMOS transistor countDate of IntroductionDesignerMOSprocessArea
Intel 4004 (4-bit 16-pin)22501971Intel“10,000 nm”12 mm²
..................
! head transistor_data.csv
Processor,MOS transistor count,Date of Introduction,Designer,MOSprocess,Area
+Intel 4004 (4-bit  16-pin),2250,1971,Intel,"10,000 nm",12 mm²
+Intel 8008 (8-bit  18-pin),3500,1972,Intel,"10,000 nm",14 mm²
+NEC μCOM-4 (4-bit  42-pin),2500,1973,NEC,"7,500 nm",?
+Intel 4040 (4-bit  16-pin),3000,1974,Intel,"10,000 nm",12 mm²
+Motorola 6800 (8-bit  40-pin),4100,1974,Motorola,"6,000 nm",16 mm²
+Intel 8080 (8-bit  40-pin),6000,1974,Intel,"6,000 nm",20 mm²
+TMS 1000 (4-bit  28-pin),8000,1974,Texas Instruments,"8,000 nm",11 mm²
+MOS Technology 6502 (8-bit  40-pin),4528,1975,MOS Technology,"8,000 nm",21 mm²
+Intersil IM6100 (12-bit  40-pin; clone of PDP-8),4000,1975,Intersil,,
+

You don’t need the columns that specify Processor, Designer, +MOSprocess, or Area. That leaves the second and third columns, +MOS transistor count and Date of Introduction, respectively.

Next, you load these two columns into a NumPy array using +np.loadtxt. +The extra options below will put the data in the desired format:

  • delimiter = ',': specify delimeter as a comma ‘,’ (this is the default behavior)

  • usecols = [1,2]: import the second and third columns from the csv

  • skiprows = 1: do not use the first row, because it’s a header row

data = np.loadtxt("transistor_data.csv", delimiter=",", usecols=[1, 2], skiprows=1)

You loaded the entire history of semiconducting into a NumPy array named +data. The first column is the MOS transistor count and the second +column is the Date of Introduction in a four-digit year.

Next, make the data easier to read and manage by assigning the two +columns to variables, year and transistor_count. Print out the first +10 values by slicing the year and transistor_count arrays with +[:10]. Print these values out to check that you have the saved the +data to the correct variables.

year = data[:, 1]  # grab the second column and assign
+transistor_count = data[:, 0]  # grab the first column and assign
+
+print("year:\t\t", year[:10])
+print("trans. cnt:\t", transistor_count[:10])
year:		 [1971. 1972. 1973. 1974. 1974. 1974. 1974. 1975. 1975. 1975.]
+trans. cnt:	 [2250. 3500. 2500. 3000. 4100. 6000. 8000. 4528. 4000. 5000.]
+

You are creating a function that predicts the transistor count given a +year. You have an independent variable, year, and a dependent +variable, transistor_count. Transform the dependent variable to +log-scale,

yi=log⁡(y_i = \log( transistor_count[i] ),),

resulting in a linear equation,

yi=A⋅year+By_i = A\cdot \text{year} +B.

yi = np.log(transistor_count)

Calculating the historical growth curve for transistors

Your model assume that yi is a function of year. Now, find the best-fit model that minimizes the difference between yiy_i and A⋅year+B,A\cdot \text{year} +B, as such

min⁡∑∣yi−(A⋅yeari+B)∣2.\min \sum|y_i - (A\cdot \text{year}_i + B)|^2.

This sum of squares +error can be +succinctly represented as arrays as such

∑∣y−Z[A, B]T∣2,\sum|\mathbf{y}-\mathbf{Z} [A,~B]^T|^2,

where y\mathbf{y} are the observations of the log of the number of +transistors in a 1D array and Z=[yeari1, yeari0]\mathbf{Z}=[\text{year}_i^1,~\text{year}_i^0] are the +polynomial terms for yeari\text{year}_i in the first and second columns. By +creating this set of regressors in the Z−\mathbf{Z}-matrix you set +up an ordinary least squares statistical model.

Z is a linear model with two parameters, i.e. a polynomial with degree 1. +Therefore we can represent the model with numpy.polynomial.Polynomial and +use the fitting functionality to determine the model parameters:

model = np.polynomial.Polynomial.fit(year, yi, deg=1)

By default, Polynomial.fit performs the fit in the domain determined by the +independent variable (year in this case). +The coefficients for the unscaled and unshifted model can be recovered with the +convert method:

model = model.convert()
+model
Loading...

The individual parameters AA and BB are the coefficients of our linear model:

B, A = model

Did manufacturers double the transistor count every two years? You have +the final formula,

transistor_count(year+2)transistor_count(year)=xFactor=eBeA(year+2)eBeAyear=e2A\dfrac{\text{transistor\_count}(\text{year} +2)}{\text{transistor\_count}(\text{year})} = xFactor = +\dfrac{e^{B}e^{A( \text{year} + 2)}}{e^{B}e^{A \text{year}}} = e^{2A}

where increase in number of transistors is xFactor,xFactor, number of years is +2, and AA is the best fit slope on the semilog function.

print(f"Rate of semiconductors added on a chip every 2 years: {np.exp(2 * A):.2f}")
Rate of semiconductors added on a chip every 2 years: 1.98
+

Based upon your least-squares regression model, the number of +semiconductors per chip increased by a factor of 1.98 every two +years. You have a model that predicts the number of semiconductors each +year. Now compare your model to the actual manufacturing reports. Plot +the linear regression results and all of the transistor counts.

Here, use +plt.semilogy +to plot the number of transistors on a log-scale and the year on a +linear scale. You have defined a three arrays to get to a final model

yi=log⁡(transistor_count),y_i = \log(\text{transistor\_count}),

yi=A⋅year+B,y_i = A \cdot \text{year} + B,

and

log⁡(transistor_count)=A⋅year+B,\log(\text{transistor\_count}) = A\cdot \text{year} + B,

your variables, transistor_count, year, and yi all have the same +dimensions, (179,). NumPy arrays need the same dimensions to make a +plot. The predicted number of transistors is now

transistor_countpredicted=eBeA⋅year\text{transistor\_count}_{\text{predicted}} = e^Be^{A\cdot \text{year}}.

In the next plot, use the +fivethirtyeight +style sheet. +The style sheet replicates +https://fivethirtyeight.com elements. Change the matplotlib style with +plt.style.use.

transistor_count_predicted = np.exp(B) * np.exp(A * year)
+transistor_Moores_law = Moores_law(year)
+
+plt.style.use("fivethirtyeight")
+
+fig, ax = plt.subplots()
+ax.semilogy(year, transistor_count, "s", label="MOS transistor count")
+ax.semilogy(year, transistor_count_predicted, label="linear regression")
+
+
+ax.plot(year, transistor_Moores_law, label="Moore's Law")
+ax.set_title(
+    "MOS transistor count per microprocessor\n"
+    + "every two years \n"
+    + "Transistor count was x{:.2f} higher".format(np.exp(A * 2))
+)
+ax.set_xlabel("year introduced")
+ax.set_ylabel("# of transistors\nper microprocessor")
+ax.legend(loc="center left", bbox_to_anchor=(1, 0.5))
<Figure size 640x480 with 1 Axes>

A scatter plot of MOS transistor count per microprocessor every two years with a red line for the ordinary least squares prediction and an orange line for Moore’s law.

The linear regression captures the increase in the number of transistors +per semiconductors each year. In 2015, semiconductor manufacturers +claimed they could not keep up with Moore’s law anymore. Your analysis +shows that since 1971, the average increase in transistor count was +x1.98 every 2 years, but Gordon Moore predicted it would be x2 +every 2 years. That is an amazing prediction.

Consider the year 2017. Compare the data to your linear regression +model and Gordon Moore’s prediction. First, get the +transistor counts from the year 2017. You can do this with a Boolean +comparator,

year == 2017.

Then, make a prediction for 2017 with Moores_law defined above +and plugging in your best fit constants into your function

transistor_count=eBeA⋅year\text{transistor\_count} = e^{B}e^{A\cdot \text{year}}.

A great way to compare these measurements is to compare your prediction +and Moore’s prediction to the average transistor count and look at the +range of reported values for that year. Use the +plt.plot +option, +alpha=0.2, +to increase the transparency of the data. The more opaque the points +appear, the more reported values lie on that measurement. The green ++ +is the average reported transistor count for 2017. Plot your predictions +for ±12\pm\frac{1}{2} years.

transistor_count2017 = transistor_count[year == 2017]
+print(
+    transistor_count2017.max(), transistor_count2017.min(), transistor_count2017.mean()
+)
+y = np.linspace(2016.5, 2017.5)
+your_model2017 = np.exp(B) * np.exp(A * y)
+Moore_Model2017 = Moores_law(y)
+
+fig, ax = plt.subplots()
+ax.plot(
+    2017 * np.ones(np.sum(year == 2017)),
+    transistor_count2017,
+    "ro",
+    label="2017",
+    alpha=0.2,
+)
+ax.plot(2017, transistor_count2017.mean(), "g+", markersize=20, mew=6)
+
+ax.plot(y, your_model2017, label="Your prediction")
+ax.plot(y, Moore_Model2017, label="Moores law")
+ax.set_ylabel("# of transistors\nper microprocessor")
+ax.legend()
19200000000.0 250000000.0 7050000000.0
+
<Figure size 640x480 with 1 Axes>

The result is that your model is close to the mean, but Gordon +Moore’s prediction is closer to the maximum number of transistors per +microprocessor produced in 2017. Even though semiconductor manufacturers +thought that the growth would slow, once in 1975 and now again +approaching 2025, manufacturers are still producing semiconductors every 2 years that +nearly double the number of transistors.

The linear regression model is much better at predicting the +average than extreme values because it satisfies the condition to +minimize ∑∣yi−A⋅year[i]+B∣2\sum |y_i - A\cdot \text{year}[i]+B|^2.

Sharing your results as zipped arrays and a csv

The last step, is to share your findings. You created +new arrays that represent a linear regression model and Gordon Moore’s +prediction. You started this process by importing a csv file into a NumPy +array using np.loadtxt, to save your model use two approaches

  1. np.savez: save NumPy arrays for other Python sessions

  2. np.savetxt: save a csv file with the original data and your predicted data

Zipping the arrays into a file

Using np.savez, you can save thousands of arrays and give them names. The +function np.load will load the arrays back into the workspace as a +dictionary. You’ll save five arrays so the next user will have the year, +transistor count, predicted transistor count, Gordon Moore’s +predicted count, and fitting constants. Add one more variable that other users can use to +understand the model, notes.

notes = "the arrays in this file are the result of a linear regression model\n"
+notes += "the arrays include\nyear: year of manufacture\n"
+notes += "transistor_count: number of transistors reported by manufacturers in a given year\n"
+notes += "transistor_count_predicted: linear regression model = exp({:.2f})*exp({:.2f}*year)\n".format(
+    B, A
+)
+notes += "transistor_Moores_law: Moores law =exp({:.2f})*exp({:.2f}*year)\n".format(
+    B_M, A_M
+)
+notes += "regression_csts: linear regression constants A and B for log(transistor_count)=A*year+B"
+print(notes)
the arrays in this file are the result of a linear regression model
+the arrays include
+year: year of manufacture
+transistor_count: number of transistors reported by manufacturers in a given year
+transistor_count_predicted: linear regression model = exp(-666.33)*exp(0.34*year)
+transistor_Moores_law: Moores law =exp(-675.38)*exp(0.35*year)
+regression_csts: linear regression constants A and B for log(transistor_count)=A*year+B
+
np.savez(
+    "mooreslaw_regression.npz",
+    notes=notes,
+    year=year,
+    transistor_count=transistor_count,
+    transistor_count_predicted=transistor_count_predicted,
+    transistor_Moores_law=transistor_Moores_law,
+    regression_csts=(A, B),
+)
results = np.load("mooreslaw_regression.npz")
print(results["regression_csts"][1])
-666.3264063536233
+
! ls
_static				    tutorial-ma.md
+air-quality-data.csv		    tutorial-plotting-fractals
+contributing.md			    tutorial-plotting-fractals.md
+index.md			    tutorial-static_equilibrium.md
+mooreslaw-tutorial.md		    tutorial-style-guide.md
+mooreslaw_regression.npz	    tutorial-svd.md
+save-load-arrays.md		    tutorial-x-ray-image-processing
+transistor_data.csv		    tutorial-x-ray-image-processing.md
+tutorial-air-quality-analysis.md    who_covid_19_sit_rep_time_series.csv
+tutorial-deep-learning-on-mnist.md
+

The benefit of np.savez is you can save hundreds of arrays with +different shapes and types. Here, you saved 4 arrays that are double +precision floating point numbers shape = (179,), one array that was +text, and one array of double precision floating point numbers shape = +(2,). This is the preferred method for saving NumPy arrays for use in +another analysis.

Creating your own comma separated value file

If you want to share data and view the results in a table, then you have to +create a text file. Save the data using np.savetxt. This +function is more limited than np.savez. Delimited files, like csv’s, +need 2D arrays.

Prepare the data for export by creating a new 2D array whose columns +contain the data of interest.

Use the header option to describe the data and the columns of +the file. Define another variable that contains file +information as head.

head = "the columns in this file are the result of a linear regression model\n"
+head += "the columns include\nyear: year of manufacture\n"
+head += "transistor_count: number of transistors reported by manufacturers in a given year\n"
+head += "transistor_count_predicted: linear regression model = exp({:.2f})*exp({:.2f}*year)\n".format(
+    B, A
+)
+head += "transistor_Moores_law: Moores law =exp({:.2f})*exp({:.2f}*year)\n".format(
+    B_M, A_M
+)
+head += "year:, transistor_count:, transistor_count_predicted:, transistor_Moores_law:"
+print(head)
the columns in this file are the result of a linear regression model
+the columns include
+year: year of manufacture
+transistor_count: number of transistors reported by manufacturers in a given year
+transistor_count_predicted: linear regression model = exp(-666.33)*exp(0.34*year)
+transistor_Moores_law: Moores law =exp(-675.38)*exp(0.35*year)
+year:, transistor_count:, transistor_count_predicted:, transistor_Moores_law:
+

Build a single 2D array to export to csv. Tabular data is inherently two +dimensional. You need to organize your data to fit this 2D structure. +Use year, transistor_count, transistor_count_predicted, and +transistor_Moores_law as the first through fourth columns, +respectively. Put the calculated constants in the header since they do +not fit the (179,) shape. The +np.block +function appends arrays together to create a new, larger array. Arrange +the 1D vectors as columns using +np.newaxis +e.g.

>>> year.shape
+(179,)
+>>> year[:,np.newaxis].shape
+(179,1)
output = np.block(
+    [
+        year[:, np.newaxis],
+        transistor_count[:, np.newaxis],
+        transistor_count_predicted[:, np.newaxis],
+        transistor_Moores_law[:, np.newaxis],
+    ]
+)

Creating the mooreslaw_regression.csv with np.savetxt, use three +options to create the desired file format:

  • X = output : use output block to write the data into the file

  • delimiter = ',' : use commas to separate columns in the file

  • header = head : use the header head defined above

np.savetxt("mooreslaw_regression.csv", X=output, delimiter=",", header=head)
! head mooreslaw_regression.csv
# the columns in this file are the result of a linear regression model
+# the columns include
+# year: year of manufacture
+# transistor_count: number of transistors reported by manufacturers in a given year
+# transistor_count_predicted: linear regression model = exp(-666.33)*exp(0.34*year)
+# transistor_Moores_law: Moores law =exp(-675.38)*exp(0.35*year)
+# year:, transistor_count:, transistor_count_predicted:, transistor_Moores_law:
+1.971000000000000000e+03,2.250000000000000000e+03,1.130514785642591733e+03,2.249999999999916326e+03
+1.972000000000000000e+03,3.500000000000000000e+03,1.590908400344571419e+03,3.181980515339620069e+03
+1.973000000000000000e+03,2.500000000000000000e+03,2.238793840142739555e+03,4.500000000000097316e+03
+

Wrapping up

In conclusion, you have compared historical data for semiconductor +manufacturers to Moore’s law and created a linear regression model to +find the average number of transistors added to each microprocessor +every two years. Gordon Moore predicted the number of transistors would +double every two years from 1965 through 1975, but the average growth +has maintained a consistent increase of ×1.98±0.01\times 1.98 \pm 0.01 every two +years from 1971 through 2019. In 2015, Moore revised his prediction to +say Moore’s law should hold until 2025. +[2]. +You can share these results as a zipped NumPy array file, +mooreslaw_regression.npz, or as another csv, +mooreslaw_regression.csv. The amazing progress in semiconductor +manufacturing has enabled new industries and computational power. This +analysis should give you a small insight into how incredible this growth +has been over the last half-century.

References

  1. “Moore’s Law.” Wikipedia article. Accessed Oct. 1, 2020.

  2. Courtland, Rachel. “Gordon Moore: The Man Whose Name Means Progress.” IEEE Spectrum. 30 Mar. 2015..

  3. “Transistor Count.” Wikipedia article. Accessed Oct. 1, 2020.

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The goal of this repository is to provide\nhigh-quality resources by the NumPy project, both for self-learning and for\nteaching classes with. If you’re interested in adding your own content, check\nthe \n\nContributing section.\n\nTo open a live version of the content, click the launch Binder button above.\nTo open each of the .md files, right click and select “Open with -> Notebook”.\nYou can also launch individual tutorials on Binder by clicking on the rocket\nicon that appears in the upper-right corner of each tutorial. To download a\nlocal copy of the .ipynb files, you can either\n\n\nclone this repository\nor use the download icon in the upper-right corner of each tutorial.","type":"content","url":"/","position":1},{"hierarchy":{"lvl1":"NumPy tutorials","lvl2":"Useful links and resources"},"type":"lvl2","url":"/#useful-links-and-resources","position":2},{"hierarchy":{"lvl1":"NumPy tutorials","lvl2":"Useful links and resources"},"content":"The following links may be useful:\n\nNumPy Code of Conduct\n\nMain NumPy documentation\n\nNumPy documentation team meeting notes\n\nNEP 44 - Restructuring the NumPy documentation\n\nNote that regular documentation issues for NumPy can be found in the \n\nmain NumPy\nrepository (see the Documentation\nlabels there).","type":"content","url":"/#useful-links-and-resources","position":3},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy"},"type":"lvl1","url":"/mooreslaw-tutorial","position":0},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy"},"content":"\n\nThe number of transistors reported per a given chip plotted on a log scale in the y axis with the date of introduction on the linear scale x-axis. The blue data points are from a \n\ntransistor count table. The red line is an ordinary least squares prediction and the orange line is Moore’s law.","type":"content","url":"/mooreslaw-tutorial","position":1},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"What you’ll do"},"type":"lvl2","url":"/mooreslaw-tutorial#what-youll-do","position":2},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"What you’ll do"},"content":"In 1965, engineer Gordon Moore\n\n\npredicted that\ntransistors on a chip would double every two years in the coming decade\n[\n\n1].\nYou’ll compare Moore’s prediction against actual transistor counts in\nthe 53 years following his prediction. You will determine the best-fit constants to describe the exponential growth of transistors on semiconductors compared to Moore’s Law.","type":"content","url":"/mooreslaw-tutorial#what-youll-do","position":3},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Skills you’ll learn"},"type":"lvl2","url":"/mooreslaw-tutorial#skills-youll-learn","position":4},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Skills you’ll learn"},"content":"Load data from a \n\n*.csv file\n\nPerform linear regression and predict exponential growth using ordinary least squares\n\nYou’ll compare exponential growth constants between models\n\nShare your analysis in a file:\n\nas NumPy zipped files *.npz\n\nas a *.csv file\n\nAssess the amazing progress semiconductor manufacturers have made in the last five decades","type":"content","url":"/mooreslaw-tutorial#skills-youll-learn","position":5},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"What you’ll need"},"type":"lvl2","url":"/mooreslaw-tutorial#what-youll-need","position":6},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"What you’ll need"},"content":"1. These packages:\n\nNumPy\n\nMatplotlib\n\nimported with the following commands\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n\n\n2. Since this is an exponential growth law you need a little background in doing math with \n\nnatural logs and \n\nexponentials.\n\nYou’ll use these NumPy and Matplotlib functions:\n\nnp.loadtxt: this function loads text into a NumPy array\n\nnp.log: this function takes the natural log of all elements in a NumPy array\n\nnp.exp: this function takes the exponential of all elements in a NumPy array\n\nlambda: this is a minimal function definition for creating a function model\n\nplt.semilogy: this function will plot x-y data onto a figure with a linear x-axis and \\log_{10} y-axis\n\n\nplt.plot: this function will plot x-y data on linear axes\n\nslicing arrays: view parts of the data loaded into the workspace, slice the arrays e.g. x[:10] for the first 10 values in the array, x\n\nboolean array indexing: to view parts of the data that match a given condition use boolean operations to index an array\n\nnp.block: to combine arrays into 2D arrays\n\nnp.newaxis: to change a 1D vector to a row or column vector\n\nnp.savez and \n\nnp.savetxt: these two functions will save your arrays in zipped array format and text, respectively\n\n","type":"content","url":"/mooreslaw-tutorial#what-youll-need","position":7},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Building Moore’s law as an exponential function"},"type":"lvl2","url":"/mooreslaw-tutorial#building-moores-law-as-an-exponential-function","position":8},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Building Moore’s law as an exponential function"},"content":"Your empirical model assumes that the number of transistors per\nsemiconductor follows an exponential growth,\n\n\\log(\\text{transistor\\_count})= f(\\text{year}) = A\\cdot \\text{year}+B,\n\nwhere A and B are fitting constants. You use semiconductor\nmanufacturers’ data to find the fitting constants.\n\nYou determine these constants for Moore’s law by specifying the\nrate for added transistors, 2, and giving an initial number of transistors for a given year.\n\nYou state Moore’s law in an exponential form as follows,\n\n\\text{transistor\\_count}= e^{A_M\\cdot \\text{year} +B_M}.\n\nWhere A_M and B_M are constants that double the number of transistors every two years and start at 2250 transistors in 1971,\n\n\\dfrac{\\text{transistor\\_count}(\\text{year} +2)}{\\text{transistor\\_count}(\\text{year})} = 2 = \\dfrac{e^{B_M}e^{A_M \\text{year} + 2A_M}}{e^{B_M}e^{A_M \\text{year}}} = e^{2A_M} \\rightarrow A_M = \\frac{\\log(2)}{2}\n\n\\log(2250) = \\frac{\\log(2)}{2}\\cdot 1971 + B_M \\rightarrow B_M = \\log(2250)-\\frac{\\log(2)}{2}\\cdot 1971\n\nso Moore’s law stated as an exponential function is\n\n\\log(\\text{transistor\\_count})= A_M\\cdot \\text{year}+B_M,\n\nwhere\n\nA_M=0.3466\n\nB_M=-675.4\n\nSince the function represents Moore’s law, define it as a Python\nfunction using\n\n\nlambda:\n\nA_M = np.log(2) / 2\nB_M = np.log(2250) - A_M * 1971\nMoores_law = lambda year: np.exp(B_M) * np.exp(A_M * year)\n\n\n\nIn 1971, there were 2250 transistors on the Intel 4004 chip. Use\nMoores_law to check the number of semiconductors Gordon Moore would expect\nin 1973.\n\nML_1971 = Moores_law(1971)\nML_1973 = Moores_law(1973)\nprint(\"In 1973, G. Moore expects {:.0f} transistors on Intels chips\".format(ML_1973))\nprint(\"This is x{:.2f} more transistors than 1971\".format(ML_1973 / ML_1971))\n\n\n\n","type":"content","url":"/mooreslaw-tutorial#building-moores-law-as-an-exponential-function","position":9},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Loading historical manufacturing data to your workspace"},"type":"lvl2","url":"/mooreslaw-tutorial#loading-historical-manufacturing-data-to-your-workspace","position":10},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Loading historical manufacturing data to your workspace"},"content":"Now, make a prediction based upon the historical data for\nsemiconductors per chip. The \n\nTransistor Count\n[3]\neach year is in the transistor_data.csv file. Before loading a *.csv\nfile into a NumPy array, its a good idea to inspect the structure of the\nfile first. Then, locate the columns of interest and save them to a\nvariable. Save two columns of the file to the array, data.\n\nHere, print out the first 10 rows of transistor_data.csv. The columns are\n\nProcessor\n\nMOS transistor count\n\nDate of Introduction\n\nDesigner\n\nMOSprocess\n\nArea\n\nIntel 4004 (4-bit 16-pin)\n\n2250\n\n1971\n\nIntel\n\n“10,000 nm”\n\n12 mm²\n\n...\n\n...\n\n...\n\n...\n\n...\n\n...\n\n! head transistor_data.csv\n\n\n\nYou don’t need the columns that specify Processor, Designer,\nMOSprocess, or Area. That leaves the second and third columns,\nMOS transistor count and Date of Introduction, respectively.\n\nNext, you load these two columns into a NumPy array using\n\n\nnp.loadtxt.\nThe extra options below will put the data in the desired format:\n\ndelimiter = ',': specify delimeter as a comma ‘,’ (this is the default behavior)\n\nusecols = [1,2]: import the second and third columns from the csv\n\nskiprows = 1: do not use the first row, because it’s a header row\n\ndata = np.loadtxt(\"transistor_data.csv\", delimiter=\",\", usecols=[1, 2], skiprows=1)\n\n\n\nYou loaded the entire history of semiconducting into a NumPy array named\ndata. The first column is the MOS transistor count and the second\ncolumn is the Date of Introduction in a four-digit year.\n\nNext, make the data easier to read and manage by assigning the two\ncolumns to variables, year and transistor_count. Print out the first\n10 values by slicing the year and transistor_count arrays with\n[:10]. Print these values out to check that you have the saved the\ndata to the correct variables.\n\nyear = data[:, 1] # grab the second column and assign\ntransistor_count = data[:, 0] # grab the first column and assign\n\nprint(\"year:\\t\\t\", year[:10])\nprint(\"trans. cnt:\\t\", transistor_count[:10])\n\n\n\nYou are creating a function that predicts the transistor count given a\nyear. You have an independent variable, year, and a dependent\nvariable, transistor_count. Transform the dependent variable to\nlog-scale,\n\ny_i = \\log( transistor_count[i] ),\n\nresulting in a linear equation,\n\ny_i = A\\cdot \\text{year} +B.\n\nyi = np.log(transistor_count)\n\n\n\n","type":"content","url":"/mooreslaw-tutorial#loading-historical-manufacturing-data-to-your-workspace","position":11},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Calculating the historical growth curve for transistors"},"type":"lvl2","url":"/mooreslaw-tutorial#calculating-the-historical-growth-curve-for-transistors","position":12},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Calculating the historical growth curve for transistors"},"content":"Your model assume that yi is a function of year. Now, find the best-fit model that minimizes the difference between y_i and A\\cdot \\text{year} +B, as such\n\n\\min \\sum|y_i - (A\\cdot \\text{year}_i + B)|^2.\n\nThis \n\nsum of squares\nerror can be\nsuccinctly represented as arrays as such\n\n\\sum|\\mathbf{y}-\\mathbf{Z} [A,~B]^T|^2,\n\nwhere \\mathbf{y} are the observations of the log of the number of\ntransistors in a 1D array and \\mathbf{Z}=[\\text{year}_i^1,~\\text{year}_i^0] are the\npolynomial terms for \\text{year}_i in the first and second columns. By\ncreating this set of regressors in the \\mathbf{Z}-matrix you set\nup an ordinary least squares statistical model.\n\nZ is a linear model with two parameters, i.e. a polynomial with degree 1.\nTherefore we can represent the model with numpy.polynomial.Polynomial and\nuse the fitting functionality to determine the model parameters:\n\nmodel = np.polynomial.Polynomial.fit(year, yi, deg=1)\n\n\n\nBy default, Polynomial.fit performs the fit in the domain determined by the\nindependent variable (year in this case).\nThe coefficients for the unscaled and unshifted model can be recovered with the\nconvert method:\n\nmodel = model.convert()\nmodel\n\n\n\nThe individual parameters A and B are the coefficients of our linear model:\n\nB, A = model\n\n\n\nDid manufacturers double the transistor count every two years? You have\nthe final formula,\n\n\\dfrac{\\text{transistor\\_count}(\\text{year} +2)}{\\text{transistor\\_count}(\\text{year})} = xFactor =\n\\dfrac{e^{B}e^{A( \\text{year} + 2)}}{e^{B}e^{A \\text{year}}} = e^{2A}\n\nwhere increase in number of transistors is xFactor, number of years is\n2, and A is the best fit slope on the semilog function.\n\nprint(f\"Rate of semiconductors added on a chip every 2 years: {np.exp(2 * A):.2f}\")\n\n\n\nBased upon your least-squares regression model, the number of\nsemiconductors per chip increased by a factor of 1.98 every two\nyears. You have a model that predicts the number of semiconductors each\nyear. Now compare your model to the actual manufacturing reports. Plot\nthe linear regression results and all of the transistor counts.\n\nHere, use\n\n\nplt.semilogy\nto plot the number of transistors on a log-scale and the year on a\nlinear scale. You have defined a three arrays to get to a final model\n\ny_i = \\log(\\text{transistor\\_count}),\n\ny_i = A \\cdot \\text{year} + B,\n\nand\n\n\\log(\\text{transistor\\_count}) = A\\cdot \\text{year} + B,\n\nyour variables, transistor_count, year, and yi all have the same\ndimensions, (179,). NumPy arrays need the same dimensions to make a\nplot. The predicted number of transistors is now\n\n\\text{transistor\\_count}_{\\text{predicted}} = e^Be^{A\\cdot \\text{year}}.\n\nIn the next plot, use the\n\n\nfivethirtyeight\nstyle sheet.\nThe style sheet replicates\n\n\nhttps://​fivethirtyeight​.com elements. Change the matplotlib style with\n\n\nplt.style.use.\n\ntransistor_count_predicted = np.exp(B) * np.exp(A * year)\ntransistor_Moores_law = Moores_law(year)\n\nplt.style.use(\"fivethirtyeight\")\n\nfig, ax = plt.subplots()\nax.semilogy(year, transistor_count, \"s\", label=\"MOS transistor count\")\nax.semilogy(year, transistor_count_predicted, label=\"linear regression\")\n\n\nax.plot(year, transistor_Moores_law, label=\"Moore's Law\")\nax.set_title(\n \"MOS transistor count per microprocessor\\n\"\n + \"every two years \\n\"\n + \"Transistor count was x{:.2f} higher\".format(np.exp(A * 2))\n)\nax.set_xlabel(\"year introduced\")\nax.set_ylabel(\"# of transistors\\nper microprocessor\")\nax.legend(loc=\"center left\", bbox_to_anchor=(1, 0.5))\n\n\n\nA scatter plot of MOS transistor count per microprocessor every two years with a red line for the ordinary least squares prediction and an orange line for Moore’s law.\n\nThe linear regression captures the increase in the number of transistors\nper semiconductors each year. In 2015, semiconductor manufacturers\nclaimed they could not keep up with Moore’s law anymore. Your analysis\nshows that since 1971, the average increase in transistor count was\nx1.98 every 2 years, but Gordon Moore predicted it would be x2\nevery 2 years. That is an amazing prediction.\n\nConsider the year 2017. Compare the data to your linear regression\nmodel and Gordon Moore’s prediction. First, get the\ntransistor counts from the year 2017. You can do this with a Boolean\ncomparator,\n\nyear == 2017.\n\nThen, make a prediction for 2017 with Moores_law defined above\nand plugging in your best fit constants into your function\n\n\\text{transistor\\_count} = e^{B}e^{A\\cdot \\text{year}}.\n\nA great way to compare these measurements is to compare your prediction\nand Moore’s prediction to the average transistor count and look at the\nrange of reported values for that year. Use the\n\n\nplt.plot\noption,\n\n\nalpha=0.2,\nto increase the transparency of the data. The more opaque the points\nappear, the more reported values lie on that measurement. The green +\nis the average reported transistor count for 2017. Plot your predictions\nfor \\pm\\frac{1}{2} years.\n\ntransistor_count2017 = transistor_count[year == 2017]\nprint(\n transistor_count2017.max(), transistor_count2017.min(), transistor_count2017.mean()\n)\ny = np.linspace(2016.5, 2017.5)\nyour_model2017 = np.exp(B) * np.exp(A * y)\nMoore_Model2017 = Moores_law(y)\n\nfig, ax = plt.subplots()\nax.plot(\n 2017 * np.ones(np.sum(year == 2017)),\n transistor_count2017,\n \"ro\",\n label=\"2017\",\n alpha=0.2,\n)\nax.plot(2017, transistor_count2017.mean(), \"g+\", markersize=20, mew=6)\n\nax.plot(y, your_model2017, label=\"Your prediction\")\nax.plot(y, Moore_Model2017, label=\"Moores law\")\nax.set_ylabel(\"# of transistors\\nper microprocessor\")\nax.legend()\n\n\n\n\n\nThe result is that your model is close to the mean, but Gordon\nMoore’s prediction is closer to the maximum number of transistors per\nmicroprocessor produced in 2017. Even though semiconductor manufacturers\nthought that the growth would slow, once in 1975 and now again\napproaching 2025, manufacturers are still producing semiconductors every 2 years that\nnearly double the number of transistors.\n\nThe linear regression model is much better at predicting the\naverage than extreme values because it satisfies the condition to\nminimize \\sum |y_i - A\\cdot \\text{year}[i]+B|^2.\n\n","type":"content","url":"/mooreslaw-tutorial#calculating-the-historical-growth-curve-for-transistors","position":13},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Sharing your results as zipped arrays and a csv"},"type":"lvl2","url":"/mooreslaw-tutorial#sharing-your-results-as-zipped-arrays-and-a-csv","position":14},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Sharing your results as zipped arrays and a csv"},"content":"The last step, is to share your findings. You created\nnew arrays that represent a linear regression model and Gordon Moore’s\nprediction. You started this process by importing a csv file into a NumPy\narray using np.loadtxt, to save your model use two approaches\n\nnp.savez: save NumPy arrays for other Python sessions\n\nnp.savetxt: save a csv file with the original data and your predicted data","type":"content","url":"/mooreslaw-tutorial#sharing-your-results-as-zipped-arrays-and-a-csv","position":15},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl3":"Zipping the arrays into a file","lvl2":"Sharing your results as zipped arrays and a csv"},"type":"lvl3","url":"/mooreslaw-tutorial#zipping-the-arrays-into-a-file","position":16},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl3":"Zipping the arrays into a file","lvl2":"Sharing your results as zipped arrays and a csv"},"content":"Using np.savez, you can save thousands of arrays and give them names. The\nfunction np.load will load the arrays back into the workspace as a\ndictionary. You’ll save five arrays so the next user will have the year,\ntransistor count, predicted transistor count, Gordon Moore’s\npredicted count, and fitting constants. Add one more variable that other users can use to\nunderstand the model, notes.\n\nnotes = \"the arrays in this file are the result of a linear regression model\\n\"\nnotes += \"the arrays include\\nyear: year of manufacture\\n\"\nnotes += \"transistor_count: number of transistors reported by manufacturers in a given year\\n\"\nnotes += \"transistor_count_predicted: linear regression model = exp({:.2f})*exp({:.2f}*year)\\n\".format(\n B, A\n)\nnotes += \"transistor_Moores_law: Moores law =exp({:.2f})*exp({:.2f}*year)\\n\".format(\n B_M, A_M\n)\nnotes += \"regression_csts: linear regression constants A and B for log(transistor_count)=A*year+B\"\nprint(notes)\n\n\n\n\n\nnp.savez(\n \"mooreslaw_regression.npz\",\n notes=notes,\n year=year,\n transistor_count=transistor_count,\n transistor_count_predicted=transistor_count_predicted,\n transistor_Moores_law=transistor_Moores_law,\n regression_csts=(A, B),\n)\n\n\n\n\n\nresults = np.load(\"mooreslaw_regression.npz\")\n\n\n\n\n\nprint(results[\"regression_csts\"][1])\n\n\n\n\n\n! ls\n\n\n\nThe benefit of np.savez is you can save hundreds of arrays with\ndifferent shapes and types. Here, you saved 4 arrays that are double\nprecision floating point numbers shape = (179,), one array that was\ntext, and one array of double precision floating point numbers shape =\n(2,). This is the preferred method for saving NumPy arrays for use in\nanother analysis.","type":"content","url":"/mooreslaw-tutorial#zipping-the-arrays-into-a-file","position":17},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl3":"Creating your own comma separated value file","lvl2":"Sharing your results as zipped arrays and a csv"},"type":"lvl3","url":"/mooreslaw-tutorial#creating-your-own-comma-separated-value-file","position":18},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl3":"Creating your own comma separated value file","lvl2":"Sharing your results as zipped arrays and a csv"},"content":"If you want to share data and view the results in a table, then you have to\ncreate a text file. Save the data using np.savetxt. This\nfunction is more limited than np.savez. Delimited files, like csv’s,\nneed 2D arrays.\n\nPrepare the data for export by creating a new 2D array whose columns\ncontain the data of interest.\n\nUse the header option to describe the data and the columns of\nthe file. Define another variable that contains file\ninformation as head.\n\nhead = \"the columns in this file are the result of a linear regression model\\n\"\nhead += \"the columns include\\nyear: year of manufacture\\n\"\nhead += \"transistor_count: number of transistors reported by manufacturers in a given year\\n\"\nhead += \"transistor_count_predicted: linear regression model = exp({:.2f})*exp({:.2f}*year)\\n\".format(\n B, A\n)\nhead += \"transistor_Moores_law: Moores law =exp({:.2f})*exp({:.2f}*year)\\n\".format(\n B_M, A_M\n)\nhead += \"year:, transistor_count:, transistor_count_predicted:, transistor_Moores_law:\"\nprint(head)\n\n\n\nBuild a single 2D array to export to csv. Tabular data is inherently two\ndimensional. You need to organize your data to fit this 2D structure.\nUse year, transistor_count, transistor_count_predicted, and\ntransistor_Moores_law as the first through fourth columns,\nrespectively. Put the calculated constants in the header since they do\nnot fit the (179,) shape. The\n\n\nnp.block\nfunction appends arrays together to create a new, larger array. Arrange\nthe 1D vectors as columns using\n\n\nnp.newaxis\ne.g.>>> year.shape\n(179,)\n>>> year[:,np.newaxis].shape\n(179,1)\n\noutput = np.block(\n [\n year[:, np.newaxis],\n transistor_count[:, np.newaxis],\n transistor_count_predicted[:, np.newaxis],\n transistor_Moores_law[:, np.newaxis],\n ]\n)\n\n\n\nCreating the mooreslaw_regression.csv with np.savetxt, use three\noptions to create the desired file format:\n\nX = output : use output block to write the data into the file\n\ndelimiter = ',' : use commas to separate columns in the file\n\nheader = head : use the header head defined above\n\nnp.savetxt(\"mooreslaw_regression.csv\", X=output, delimiter=\",\", header=head)\n\n\n\n\n\n! head mooreslaw_regression.csv\n\n\n\n","type":"content","url":"/mooreslaw-tutorial#creating-your-own-comma-separated-value-file","position":19},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Wrapping up"},"type":"lvl2","url":"/mooreslaw-tutorial#wrapping-up","position":20},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"Wrapping up"},"content":"In conclusion, you have compared historical data for semiconductor\nmanufacturers to Moore’s law and created a linear regression model to\nfind the average number of transistors added to each microprocessor\nevery two years. Gordon Moore predicted the number of transistors would\ndouble every two years from 1965 through 1975, but the average growth\nhas maintained a consistent increase of \\times 1.98 \\pm 0.01 every two\nyears from 1971 through 2019. In 2015, Moore revised his prediction to\nsay Moore’s law should hold until 2025.\n[\n\n2].\nYou can share these results as a zipped NumPy array file,\nmooreslaw_regression.npz, or as another csv,\nmooreslaw_regression.csv. The amazing progress in semiconductor\nmanufacturing has enabled new industries and computational power. This\nanalysis should give you a small insight into how incredible this growth\nhas been over the last half-century.\n\n","type":"content","url":"/mooreslaw-tutorial#wrapping-up","position":21},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"References"},"type":"lvl2","url":"/mooreslaw-tutorial#references","position":22},{"hierarchy":{"lvl1":"Determining Moore’s Law with real data in NumPy","lvl2":"References"},"content":"“Moore’s Law.” Wikipedia article. Accessed Oct. 1, 2020.\n\nCourtland, Rachel. “Gordon Moore: The Man Whose Name Means Progress.” IEEE Spectrum. 30 Mar. 2015..\n\n“Transistor Count.” Wikipedia article. Accessed Oct. 1, 2020.","type":"content","url":"/mooreslaw-tutorial#references","position":23},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays"},"type":"lvl1","url":"/save-load-arrays","position":0},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays"},"content":"","type":"content","url":"/save-load-arrays","position":1},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"What you’ll learn"},"type":"lvl2","url":"/save-load-arrays#what-youll-learn","position":2},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"What you’ll learn"},"content":"You’ll save your NumPy arrays as zipped files and human-readable\ncomma-delimited files i.e. *.csv. You will also learn to load both of these\nfile types back into NumPy workspaces.","type":"content","url":"/save-load-arrays#what-youll-learn","position":3},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"What you’ll do"},"type":"lvl2","url":"/save-load-arrays#what-youll-do","position":4},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"What you’ll do"},"content":"You’ll learn two ways of saving and reading files--as compressed and as\ntext files--that will serve most of your storage needs in NumPy.\n\nYou’ll create two 1D arrays and one 2D array\n\nYou’ll save these arrays to files\n\nYou’ll remove variables from your workspace\n\nYou’ll load the variables from your saved file\n\nYou’ll compare zipped binary files to human-readable delimited files\n\nYou’ll finish with the skills of saving, loading, and sharing NumPy arrays","type":"content","url":"/save-load-arrays#what-youll-do","position":5},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"What you’ll need"},"type":"lvl2","url":"/save-load-arrays#what-youll-need","position":6},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"What you’ll need"},"content":"NumPy\n\nread-write access to your working directory\n\nLoad the necessary functions using the following command.\n\nimport numpy as np\n\n\n\nIn this tutorial, you will use the following Python, IPython magic, and NumPy functions:\n\nnp.arange\n\nnp.savez\n\ndel\n\nwhos\n\nnp.load\n\nnp.block\n\nnp.newaxis\n\nnp.savetxt\n\nnp.loadtxt\n\n","type":"content","url":"/save-load-arrays#what-youll-need","position":7},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Create your arrays"},"type":"lvl2","url":"/save-load-arrays#create-your-arrays","position":8},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Create your arrays"},"content":"Now that you have imported the NumPy library, you can make a couple of\narrays; let’s start with two 1D arrays, x and y, where y = x**2.You\nwill assign x to the integers from 0 to 9 using\n\n\nnp.arange.\n\nx = np.arange(10)\ny = x ** 2\nprint(x)\nprint(y)\n\n\n\n","type":"content","url":"/save-load-arrays#create-your-arrays","position":9},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Save your arrays with NumPy’s savez"},"type":"lvl2","url":"/save-load-arrays#save-your-arrays-with-numpys-savez","position":10},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Save your arrays with NumPy’s savez"},"content":"Now you have two arrays in your workspace,\n\nx: [0 1 2 3 4 5 6 7 8 9]\n\ny: [ 0 1 4 9 16 25 36 49 64 81]\n\nThe first thing you will do is save them to a file as zipped arrays\nusing\n\n\nsavez.\nYou will use two options to label the arrays in the file,\n\nx_axis = x: this option is assigning the name x_axis to the variable x\n\ny_axis = y: this option is assigning the name y_axis to the variable y\n\nnp.savez(\"x_y-squared.npz\", x_axis=x, y_axis=y)\n\n\n\n","type":"content","url":"/save-load-arrays#save-your-arrays-with-numpys-savez","position":11},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Remove the saved arrays and load them back with NumPy’s load"},"type":"lvl2","url":"/save-load-arrays#remove-the-saved-arrays-and-load-them-back-with-numpys-load","position":12},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Remove the saved arrays and load them back with NumPy’s load"},"content":"In your current working directory, you should have a new file with the\nname x_y-squared.npz. This file is a zipped binary of the two arrays,\nx and y. Let’s clear the workspace and load the values back in. This\nx_y-squared.npz file contains two \n\nNPY\nformat\nfiles. The NPY format is a \n\nnative binary\nformat. You cannot read\nthe numbers in a standard text editor or spreadsheet.\n\nremove x and y from the workspaec with \n\ndel\n\nload the arrays into the workspace in a dictionary with \n\nnp.load\n\nTo see what variables are in the workspace, use the Jupyter/IPython\n“magic” command\n\n\nwhos.\n\ndel x, y\n\n\n\n\n\n%whos\n\n\n\n\n\nload_xy = np.load(\"x_y-squared.npz\")\n\nprint(load_xy.files)\n\n\n\n\n\n%whos\n\n\n\n","type":"content","url":"/save-load-arrays#remove-the-saved-arrays-and-load-them-back-with-numpys-load","position":13},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Reassign the NpzFile arrays to x and y"},"type":"lvl2","url":"/save-load-arrays#reassign-the-npzfile-arrays-to-x-and-y","position":14},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Reassign the NpzFile arrays to x and y"},"content":"You’ve now created the dictionary with an NpzFile-type. The\nincluded files are x_axis and y_axis that you defined in your\nsavez command. You can reassign x and y to the load_xy files.\n\nx = load_xy[\"x_axis\"]\ny = load_xy[\"y_axis\"]\nprint(x)\nprint(y)\n\n\n\n","type":"content","url":"/save-load-arrays#reassign-the-npzfile-arrays-to-x-and-y","position":15},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Success"},"type":"lvl2","url":"/save-load-arrays#success","position":16},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Success"},"content":"You have created, saved, deleted, and loaded the variables x and y using savez and load. Nice work.","type":"content","url":"/save-load-arrays#success","position":17},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Another option: saving to human-readable csv"},"type":"lvl2","url":"/save-load-arrays#another-option-saving-to-human-readable-csv","position":18},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Another option: saving to human-readable csv"},"content":"Let’s consider another scenario, you want to share x and y with\nother people or other programs. You may need human-readable text file\nthat is easier to share. Next, you use the\n\n\nsavetxt\nto save x and y in a comma separated value file, x_y-squared.csv.\nThe resulting csv is composed of ASCII characters. You can load the file\nback into NumPy or read it with other programs.","type":"content","url":"/save-load-arrays#another-option-saving-to-human-readable-csv","position":19},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Rearrange the data into a single 2D array"},"type":"lvl2","url":"/save-load-arrays#rearrange-the-data-into-a-single-2d-array","position":20},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Rearrange the data into a single 2D array"},"content":"First, you have to create a single 2D array from your two 1D arrays. The\ncsv-filetype is a spreadsheet-style dataset. The csv arranges numbers in\nrows--separated by new lines--and columns--separated by commas. If the\ndata is more complex e.g. multiple 2D arrays or higher dimensional\narrays, it is better to use savez. Here, you use\ntwo NumPy functions to format the data:\n\nnp.block: this function appends arrays together into a 2D array\n\nnp.newaxis: this function forces the 1D array into a 2D column vector with 10 rows and 1 column.\n\narray_out = np.block([x[:, np.newaxis], y[:, np.newaxis]])\nprint(\"the output array has shape \", array_out.shape, \" with values:\")\nprint(array_out)\n\n\n\n","type":"content","url":"/save-load-arrays#rearrange-the-data-into-a-single-2d-array","position":21},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Save the data to csv file using savetxt"},"type":"lvl2","url":"/save-load-arrays#save-the-data-to-csv-file-using-savetxt","position":22},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Save the data to csv file using savetxt"},"content":"You use savetxt with a three options to make your file easier to read:\n\nX = array_out: this option tells savetxt to save your 2D array, array_out, to the file x_y-squared.csv\n\nheader = 'x, y': this option writes a header before any data that labels the columns of the csv\n\ndelimiter = ',': this option tells savetxt to place a comma between each column in the file\n\nnp.savetxt(\"x_y-squared.csv\", X=array_out, header=\"x, y\", delimiter=\",\")\n\n\n\nOpen the file, x_y-squared.csv, and you’ll see the following:\n\n!head x_y-squared.csv\n\n\n\n","type":"content","url":"/save-load-arrays#save-the-data-to-csv-file-using-savetxt","position":23},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Our arrays as a csv file"},"type":"lvl2","url":"/save-load-arrays#our-arrays-as-a-csv-file","position":24},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Our arrays as a csv file"},"content":"There are two features that you shoud notice here:\n\nNumPy uses # to ignore headings when using loadtxt. If you’re using\n\n\nloadtxt\nwith other csv files, you can skip header rows with skiprows = .\n\nThe integers were written in scientific notation. You can specify\nthe format of the text using the savetxt option, \n\nfmt = , but it\nwill still be written with ASCII characters. In general, you cannot\npreserve the type of ASCII numbers as float or int.\n\nNow, delete x and y again and assign them to your columns in x-y_squared.csv.\n\ndel x, y\n\n\n\n\n\nload_xy = np.loadtxt(\"x_y-squared.csv\", delimiter=\",\")\n\n\n\n\n\nload_xy.shape\n\n\n\n\n\nx = load_xy[:, 0]\ny = load_xy[:, 1]\nprint(x)\nprint(y)\n\n\n\n","type":"content","url":"/save-load-arrays#our-arrays-as-a-csv-file","position":25},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Success, but remember your types"},"type":"lvl2","url":"/save-load-arrays#success-but-remember-your-types","position":26},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Success, but remember your types"},"content":"When you saved the arrays to the csv file, you did not preserve the\nint type. When loading the arrays back into your workspace the default process will be to load the csv file as a 2D floating point array e.g. load_xy.dtype == 'float64' and load_xy.shape == (10, 2).\n\n","type":"content","url":"/save-load-arrays#success-but-remember-your-types","position":27},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Wrapping up"},"type":"lvl2","url":"/save-load-arrays#wrapping-up","position":28},{"hierarchy":{"lvl1":"Saving and sharing your NumPy arrays","lvl2":"Wrapping up"},"content":"In conclusion, you can create, save, and load arrays in NumPy. Saving arrays makes sharing your work and collaboration much easier. There are other ways Python can save data to files, such as \n\npickle, but savez and savetxt will serve most of your storage needs for future NumPy work and sharing with other people, respectively.\n\nNext steps: you can import data with missing values from \n\nImporting with genfromtext or learn more about general NumPy IO with \n\nReading and Writing Files.","type":"content","url":"/save-load-arrays#wrapping-up","position":29},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India"},"type":"lvl1","url":"/tutorial-air-quality-analysis","position":0},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India"},"content":"","type":"content","url":"/tutorial-air-quality-analysis","position":1},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"What you’ll do"},"type":"lvl2","url":"/tutorial-air-quality-analysis#what-youll-do","position":2},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"What you’ll do"},"content":"Calculate Air Quality Indices (AQI) and perform paired Student’s t-test on them.","type":"content","url":"/tutorial-air-quality-analysis#what-youll-do","position":3},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"What you’ll learn"},"type":"lvl2","url":"/tutorial-air-quality-analysis#what-youll-learn","position":4},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"What you’ll learn"},"content":"You’ll learn the concept of moving averages\n\nYou’ll learn how to calculate Air Quality Index (AQI)\n\nYou’ll learn how to perform a paired Student’s t-test and find the t and p values\n\nYou’ll learn how to interpret these values","type":"content","url":"/tutorial-air-quality-analysis#what-youll-learn","position":5},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"What you’ll need"},"type":"lvl2","url":"/tutorial-air-quality-analysis#what-youll-need","position":6},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"What you’ll need"},"content":"SciPy installed in your environment\n\nBasic understanding of statistical terms like population, sample, mean, standard deviation etc.\n\n","type":"content","url":"/tutorial-air-quality-analysis#what-youll-need","position":7},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"The problem of air pollution"},"type":"lvl2","url":"/tutorial-air-quality-analysis#the-problem-of-air-pollution","position":8},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"The problem of air pollution"},"content":"Air pollution is one of the most prominent types of pollution we face that has an immediate effect on our daily lives. The\nCOVID-19 pandemic resulted in lockdowns in different parts of the world; offering a rare opportunity to study the effect of\nhuman activity (or lack thereof) on air pollution. In this tutorial, we will study the air quality in Delhi, one of the\nworst affected cities by air pollution, before and during the lockdown from March to June 2020. For this, we will first compute\nthe Air Quality Index for each hour from the collected pollutant measurements. Next, we will sample these indices and perform\na \n\npaired Student’s t-test on them. It will statistically show us that the air quality improved due to the lockdown, supporting our intuition.\n\nLet’s start by importing the necessary libraries into our environment.\n\nimport numpy as np\nfrom numpy.random import default_rng\nfrom scipy import stats\n\n\n\n","type":"content","url":"/tutorial-air-quality-analysis#the-problem-of-air-pollution","position":9},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"Building the dataset"},"type":"lvl2","url":"/tutorial-air-quality-analysis#building-the-dataset","position":10},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"Building the dataset"},"content":"We will use a condensed version of the \n\nAir Quality Data in India dataset. This dataset contains air quality data and AQI (Air Quality Index) at hourly and daily level of various stations across multiple cities in India. The condensed version available with this tutorial contains hourly pollutant measurements for Delhi\nfrom May 31, 2019 to June 30, 2020. It has measurements of the standard pollutants that are required for Air Quality Index calculation and a few other important ones:\nParticulate Matter (PM 2.5 and PM 10), nitrogen dioxide (NO2), ammonia (NH3), sulfur dioxide (SO2), carbon monoxide (CO), ozone (O3), oxides of nitrogen (NOx), nitric oxide (NO), benzene, toluene, and xylene.\n\nLet’s print out the first few rows to have a glimpse of our dataset.\n\n! head air-quality-data.csv\n\n\n\nFor the purpose of this tutorial, we are only concerned with standard pollutants required for calculating the AQI, viz., PM 2.5, PM 10, NO2, NH3, SO2, CO, and O3. So, we will only import these particular columns with \n\nnp.loadtxt. We’ll then \n\nslice and create two sets: pollutants_A with PM 2.5, PM 10, NO2, NH3, and SO2, and pollutants_B with CO and O3. The\ntwo sets will be processed slightly differently, as we’ll see later on.\n\npollutant_data = np.loadtxt(\"air-quality-data.csv\", dtype=float, delimiter=\",\",\n skiprows=1, usecols=range(1, 8))\npollutants_A = pollutant_data[:, 0:5]\npollutants_B = pollutant_data[:, 5:]\n\nprint(pollutants_A.shape)\nprint(pollutants_B.shape)\n\n\n\nOur dataset might contain missing values, denoted by NaN, so let’s do a quick check with \n\nnp.isfinite.\n\nnp.all(np.isfinite(pollutant_data))\n\n\n\nWith this, we have successfully imported the data and checked that it is complete. Let’s move on to the AQI calculations!\n\n","type":"content","url":"/tutorial-air-quality-analysis#building-the-dataset","position":11},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"Calculating the Air Quality Index"},"type":"lvl2","url":"/tutorial-air-quality-analysis#calculating-the-air-quality-index","position":12},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"Calculating the Air Quality Index"},"content":"We will calculate the AQI using the method adopted by the Central Pollution Control Board of India. To summarize the steps:\n\nCollect 24-hourly average concentration values for the standard pollutants; 8-hourly in case of CO and O3.\n\nCalculate the sub-indices for these pollutants with the formula:Ip = \\dfrac{\\text{IHi – ILo}}{\\text{BPHi – BPLo}}\\cdot{\\text{Cp – BPLo}} + \\text{ILo}\n\nWhere,\n\nIp = sub-index of pollutant pCp = averaged concentration of pollutant pBPHi = concentration breakpoint i.e. greater than or equal to CpBPLo = concentration breakpoint i.e. less than or equal to CpIHi = AQI value corresponding to BPHiILo = AQI value corresponding to BPLo\n\nThe maximum sub-index at any given time is the Air Quality Index.\n\nThe Air Quality Index is calculated with the help of breakpoint ranges as shown in the chart below.\n\nLet’s create two arrays to store the AQI ranges and breakpoints so that we can use them later for our calculations.\n\nAQI = np.array([0, 51, 101, 201, 301, 401, 501])\n\nbreakpoints = {\n 'PM2.5': np.array([0, 31, 61, 91, 121, 251]),\n 'PM10': np.array([0, 51, 101, 251, 351, 431]),\n 'NO2': np.array([0, 41, 81, 181, 281, 401]),\n 'NH3': np.array([0, 201, 401, 801, 1201, 1801]),\n 'SO2': np.array([0, 41, 81, 381, 801, 1601]),\n 'CO': np.array([0, 1.1, 2.1, 10.1, 17.1, 35]),\n 'O3': np.array([0, 51, 101, 169, 209, 749])\n}\n\n\n\n","type":"content","url":"/tutorial-air-quality-analysis#calculating-the-air-quality-index","position":13},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Moving averages","lvl2":"Calculating the Air Quality Index"},"type":"lvl3","url":"/tutorial-air-quality-analysis#moving-averages","position":14},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Moving averages","lvl2":"Calculating the Air Quality Index"},"content":"For the first step, we have to compute \n\nmoving averages for pollutants_A over a window of 24 hours and pollutants_B over a\nwindow of 8 hours. We will write a simple function moving_mean using \n\nnp.cumsum and \n\nsliced indexing to achieve this.\n\nTo make sure both the sets are of the same length, we will truncate the pollutants_B_8hr_avg according to the length of\npollutants_A_24hr_avg. This will also ensure we have concentrations for all the pollutants over the same period of time.\n\ndef moving_mean(a, n):\n ret = np.cumsum(a, dtype=float, axis=0)\n ret[n:] = ret[n:] - ret[:-n]\n return ret[n - 1:] / n\n\npollutants_A_24hr_avg = moving_mean(pollutants_A, 24)\npollutants_B_8hr_avg = moving_mean(pollutants_B, 8)[-(pollutants_A_24hr_avg.shape[0]):]\n\n\n\nNow, we can join both sets with \n\nnp.concatenate to form a single data set of all the averaged concentrations. Note that we have to join our arrays column-wise so we pass the\naxis=1 parameter.\n\npollutants = np.concatenate((pollutants_A_24hr_avg, pollutants_B_8hr_avg), axis=1)\n\n\n\n","type":"content","url":"/tutorial-air-quality-analysis#moving-averages","position":15},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Sub-indices","lvl2":"Calculating the Air Quality Index"},"type":"lvl3","url":"/tutorial-air-quality-analysis#sub-indices","position":16},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Sub-indices","lvl2":"Calculating the Air Quality Index"},"content":"The subindices for each pollutant are calculated according to the linear relationship between the AQI and standard breakpoint ranges with the formula as above:Ip = \\dfrac{\\text{IHi – ILo}}{\\text{BPHi – BPLo}}\\cdot{\\text{Cp – BPLo}} + \\text{ILo}\n\nThe compute_indices function first fetches the correct upper and lower bounds of AQI categories and breakpoint concentrations for the input concentration and pollutant with the help of arrays AQI and breakpoints we created above. Then, it feeds these values into the formula to calculate the sub-index.\n\ndef compute_indices(pol, con):\n bp = breakpoints[pol]\n \n if pol == 'CO':\n inc = 0.1\n else:\n inc = 1\n \n if bp[0] <= con < bp[1]:\n Bl = bp[0]\n Bh = bp[1] - inc\n Ih = AQI[1] - inc\n Il = AQI[0]\n\n elif bp[1] <= con < bp[2]:\n Bl = bp[1]\n Bh = bp[2] - inc\n Ih = AQI[2] - inc\n Il = AQI[1]\n\n elif bp[2] <= con < bp[3]:\n Bl = bp[2]\n Bh = bp[3] - inc\n Ih = AQI[3] - inc\n Il = AQI[2]\n\n elif bp[3] <= con < bp[4]:\n Bl = bp[3]\n Bh = bp[4] - inc\n Ih = AQI[4] - inc\n Il = AQI[3]\n\n elif bp[4] <= con < bp[5]:\n Bl = bp[4]\n Bh = bp[5] - inc\n Ih = AQI[5] - inc\n Il = AQI[4]\n\n elif bp[5] <= con:\n Bl = bp[5]\n Bh = bp[5] + bp[4] - (2 * inc)\n Ih = AQI[6]\n Il = AQI[5]\n\n else:\n print(\"Concentration out of range!\")\n \n return ((Ih - Il) / (Bh - Bl)) * (con - Bl) + Il\n\n\n\nWe will use \n\nnp.vectorize to utilize the concept of vectorization. This simply means we don’t have loop over each element of the pollutant array ourselves. \n\nVectorization is one of the key advantages of NumPy.\n\nvcompute_indices = np.vectorize(compute_indices)\n\n\n\nBy calling our vectorized function vcompute_indices for each pollutant, we get the sub-indices. To get back an array with the original shape, we use \n\nnp.stack.\n\nsub_indices = np.stack((vcompute_indices('PM2.5', pollutants[..., 0]),\n vcompute_indices('PM10', pollutants[..., 1]),\n vcompute_indices('NO2', pollutants[..., 2]),\n vcompute_indices('NH3', pollutants[..., 3]),\n vcompute_indices('SO2', pollutants[..., 4]),\n vcompute_indices('CO', pollutants[..., 5]),\n vcompute_indices('O3', pollutants[..., 6])), axis=1)\n\n\n\n","type":"content","url":"/tutorial-air-quality-analysis#sub-indices","position":17},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Air quality indices","lvl2":"Calculating the Air Quality Index"},"type":"lvl3","url":"/tutorial-air-quality-analysis#air-quality-indices","position":18},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Air quality indices","lvl2":"Calculating the Air Quality Index"},"content":"Using \n\nnp.max, we find out the maximum sub-index for each period, which is our Air Quality Index!\n\naqi_array = np.max(sub_indices, axis=1)\n\n\n\nWith this, we have the AQI for every hour from June 1, 2019 to June 30, 2020. Note that even though we started out with\nthe data from 31st May, we truncated that during the moving averages step.\n\n","type":"content","url":"/tutorial-air-quality-analysis#air-quality-indices","position":19},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"Paired Student’s t-test on the AQIs"},"type":"lvl2","url":"/tutorial-air-quality-analysis#paired-students-t-test-on-the-aqis","position":20},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"Paired Student’s t-test on the AQIs"},"content":"Hypothesis testing is a form of descriptive statistics used to help us make decisions with the data. From the calculated AQI data, we want to find out if there was a statistically significant difference in average AQI before and after the lockdown was imposed. We will use the left-tailed, \n\npaired Student’s t-test to compute two test statistics- the \n\nt statistic and the \n\np value. We will then compare these with the corresponding critical values to make a decision.","type":"content","url":"/tutorial-air-quality-analysis#paired-students-t-test-on-the-aqis","position":21},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Sampling","lvl2":"Paired Student’s t-test on the AQIs"},"type":"lvl3","url":"/tutorial-air-quality-analysis#sampling","position":22},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Sampling","lvl2":"Paired Student’s t-test on the AQIs"},"content":"We will now import the datetime column from our original dataset into a \n\ndatetime64 dtype array. We will use this array to index the AQI array and obtain subsets of the dataset.\n\ndatetime = np.loadtxt(\"air-quality-data.csv\", dtype='M8[h]', delimiter=\",\",\n skiprows=1, usecols=(0, ))[-(pollutants_A_24hr_avg.shape[0]):]\n\n\n\nSince total lockdown commenced in Delhi from March 24, 2020, the after-lockdown subset is of the period March 24, 2020 to June 30, 2020. The before-lockdown subset is for the same length of time before 24th March.\n\nafter_lock = aqi_array[np.where(datetime >= np.datetime64('2020-03-24T00'))]\n\nbefore_lock = aqi_array[np.where(datetime <= np.datetime64('2020-03-21T00'))][-(after_lock.shape[0]):]\n\nprint(after_lock.shape)\nprint(before_lock.shape)\n\n\n\nTo make sure our samples are approximately normally distributed, we take samples of size n = 30. before_sample and after_sample are the set of random observations drawn before and after the total lockdown. We use \n\nrandom​.Generator​.choice to generate the samples.\n\nrng = default_rng()\n\nbefore_sample = rng.choice(before_lock, size=30, replace=False)\nafter_sample = rng.choice(after_lock, size=30, replace=False)\n\n\n\n","type":"content","url":"/tutorial-air-quality-analysis#sampling","position":23},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Defining the hypothesis","lvl2":"Paired Student’s t-test on the AQIs"},"type":"lvl3","url":"/tutorial-air-quality-analysis#defining-the-hypothesis","position":24},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Defining the hypothesis","lvl2":"Paired Student’s t-test on the AQIs"},"content":"Let us assume that there is no significant difference between the sample means before and after the lockdown. This will be the null hypothesis. The alternative hypothesis would be that there is a significant difference between the means and the AQI improved. Mathematically,\n\nH_{0}: \\mu_\\text{after-before} = 0 H_{a}: \\mu_\\text{after-before} < 0\n\n","type":"content","url":"/tutorial-air-quality-analysis#defining-the-hypothesis","position":25},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Calculating the test statistics","lvl2":"Paired Student’s t-test on the AQIs"},"type":"lvl3","url":"/tutorial-air-quality-analysis#calculating-the-test-statistics","position":26},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl3":"Calculating the test statistics","lvl2":"Paired Student’s t-test on the AQIs"},"content":"We will use the t statistic to evaluate our hypothesis and even calculate the p value from it. The formula for the t statistic is:t = \\frac{\\mu_\\text{after-before}}{\\sqrt{\\sigma^{2}/n}}\n\nwhere,\n\n\\mu_\\text{after-before} = mean differences of samples \\sigma^{2} = variance of mean differences n = sample size\n\ndef t_test(x, y):\n diff = y - x\n var = np.var(diff, ddof=1)\n num = np.mean(diff)\n denom = np.sqrt(var / len(x))\n return np.divide(num, denom)\n\nt_value = t_test(before_sample, after_sample)\n\n\n\nFor the p value, we will use SciPy’s stats.distributions.t.cdf() function. It takes two arguments- the t statistic and the degrees of freedom (dof). The formula for dof is n - 1.\n\ndof = len(before_sample) - 1\n\np_value = stats.distributions.t.cdf(t_value, dof)\n\nprint(\"The t value is {} and the p value is {}.\".format(t_value, p_value))\n\n\n\n","type":"content","url":"/tutorial-air-quality-analysis#calculating-the-test-statistics","position":27},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"What do the t and p values mean?"},"type":"lvl2","url":"/tutorial-air-quality-analysis#what-do-the-t-and-p-values-mean","position":28},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"What do the t and p values mean?"},"content":"We will now compare the calculated test statistics with the critical test statistics. The critical t value is calculated by looking up the \n\nt-distribution table.\n\nFrom the table above, the critical value is 1.699 for 29 dof at a confidence level of 95%. Since we are using the left tailed test, our critical value is -1.699. Clearly, the calculated t value is less than the critical value so we can safely reject the null hypothesis.\n\nThe critical p value, denoted by \\alpha, is usually chosen to be 0.05, corresponding to a confidence level of 95%. If the calculated p value is less than \\alpha, then the null hypothesis can be safely rejected. Clearly, our p value is much less than \\alpha, so we can reject the null hypothesis.\n\nNote that this does not mean we can accept the alternative hypothesis. It only tells us that there is not enough evidence to reject H_{a}. In other words, we fail to reject the alternative hypothesis so, it may be true.\n\n","type":"content","url":"/tutorial-air-quality-analysis#what-do-the-t-and-p-values-mean","position":29},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"In practice..."},"type":"lvl2","url":"/tutorial-air-quality-analysis#in-practice","position":30},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"In practice..."},"content":"The \n\npandas library is preferable to use for time-series data analysis.\n\nThe SciPy stats module provides the \n\nstats.ttest_rel function which can be used to get the t statistic and p value.\n\nIn real life, data are generally not normally distributed. There are tests for such non-normal data like the \n\nWilcoxon test.","type":"content","url":"/tutorial-air-quality-analysis#in-practice","position":31},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"Further reading"},"type":"lvl2","url":"/tutorial-air-quality-analysis#further-reading","position":32},{"hierarchy":{"lvl1":"Analyzing the impact of the lockdown on air quality in Delhi, India","lvl2":"Further reading"},"content":"There are various versions of the \n\nStudent’s t-test that you can adopt according to your needs.","type":"content","url":"/tutorial-air-quality-analysis#further-reading","position":33},{"hierarchy":{"lvl1":"Deep learning on MNIST"},"type":"lvl1","url":"/tutorial-deep-learning-on-mnist","position":0},{"hierarchy":{"lvl1":"Deep learning on MNIST"},"content":"This tutorial demonstrates how to build a simple \n\nfeedforward neural network (with one hidden layer) and train it from scratch with NumPy to recognize handwritten digit images.\n\nYour deep learning model — one of the most basic artificial neural networks that resembles the original \n\nmulti-layer perceptron — will learn to classify digits from 0 to 9 from the \n\nMNIST dataset. The dataset contains 60,000 training and 10,000 test images and corresponding labels. Each training and test image is of size 784 (or 28x28 pixels) — this will be your input for the neural network.\n\nBased on the image inputs and their labels (\n\nsupervised learning), your neural network will be trained to learn their features using forward propagation and backpropagation (\n\nreverse-mode differentiation). The final output of the network is a vector of 10 scores — one for each handwritten digit image. You will also evaluate how good your model is at classifying the images on the test set.\n\nThis tutorial was adapted from the work by \n\nAndrew Trask (with the author’s permission).","type":"content","url":"/tutorial-deep-learning-on-mnist","position":1},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"Prerequisites"},"type":"lvl2","url":"/tutorial-deep-learning-on-mnist#prerequisites","position":2},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"Prerequisites"},"content":"The reader should have some knowledge of Python, NumPy array manipulation, and linear algebra. In addition, you should be familiar with main concepts of \n\ndeep learning.\n\nTo refresh the memory, you can take the \n\nPython and \n\nLinear algebra on n-dimensional arrays tutorials.\n\nYou are advised to read the \n\nDeep learning paper published in 2015 by Yann LeCun, Yoshua Bengio, and Geoffrey Hinton, who are regarded as some of the pioneers of the field. You should also consider reading Andrew Trask’s \n\nGrokking Deep Learning, which teaches deep learning with NumPy.\n\nIn addition to NumPy, you will be utilizing the following Python standard modules for data loading and processing:\n\nurllib for URL handling\n\nrequest for URL opening\n\ngzip for gzip file decompression\n\npickle to work with the pickle file format\n\nas well as:\n\nMatplotlib for data visualization\n\nThis tutorial can be run locally in an isolated environment, such as \n\nVirtualenv or \n\nconda. You can use \n\nJupyter Notebook or JupyterLab to run each notebook cell. Don’t forget to \n\nset up NumPy and \n\nMatplotlib.","type":"content","url":"/tutorial-deep-learning-on-mnist#prerequisites","position":3},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"Table of contents"},"type":"lvl2","url":"/tutorial-deep-learning-on-mnist#table-of-contents","position":4},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"Table of contents"},"content":"Load the MNIST dataset\n\nPreprocess the dataset\n\nBuild and train a small neural network from scratch\n\nNext steps","type":"content","url":"/tutorial-deep-learning-on-mnist#table-of-contents","position":5},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"1. Load the MNIST dataset"},"type":"lvl2","url":"/tutorial-deep-learning-on-mnist#id-1-load-the-mnist-dataset","position":6},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"1. Load the MNIST dataset"},"content":"In this section, you will download the zipped MNIST dataset files originally developed by Yann LeCun’s research team. (More details of the MNIST dataset are available on \n\nKaggle.) Then, you will transform them into 4 files of NumPy array type using built-in Python modules. Finally, you will split the arrays into training and test sets.\n\n1. Define a variable to store the training/test image/label names of the MNIST dataset in a list:\n\ndata_sources = {\n \"training_images\": \"train-images-idx3-ubyte.gz\", # 60,000 training images.\n \"test_images\": \"t10k-images-idx3-ubyte.gz\", # 10,000 test images.\n \"training_labels\": \"train-labels-idx1-ubyte.gz\", # 60,000 training labels.\n \"test_labels\": \"t10k-labels-idx1-ubyte.gz\", # 10,000 test labels.\n}\n\n\n\n2. Load the data. First check if the data is stored locally; if not, then\ndownload it.\n\n# Use responsibly! When running notebooks locally, be sure to keep local\n# copies of the datasets to prevent unnecessary server requests\nheaders = {\n \"User-Agent\": \"Mozilla/5.0 (X11; Linux x86_64; rv:10.0) Gecko/20100101 Firefox/10.0\"\n}\nrequest_opts = {\n \"headers\": headers,\n \"params\": {\"raw\": \"true\"},\n}\n\n\n\nimport requests\nimport os\n\ndata_dir = \"../_data\"\nos.makedirs(data_dir, exist_ok=True)\n\nbase_url = \"https://ossci-datasets.s3.amazonaws.com/mnist/\"\n\nfor fname in data_sources.values():\n fpath = os.path.join(data_dir, fname)\n if not os.path.exists(fpath):\n print(\"Downloading file: \" + fname)\n resp = requests.get(base_url + fname, stream=True, **request_opts)\n resp.raise_for_status() # Ensure download was succesful\n with open(fpath, \"wb\") as fh:\n for chunk in resp.iter_content(chunk_size=128):\n fh.write(chunk)\n\n\n\n\n\n\n\n3. Decompress the 4 files and create 4 \n\nndarrays, saving them into a dictionary. Each original image is of size 28x28 and neural networks normally expect a 1D vector input; therefore, you also need to reshape the images by multiplying 28 by 28 (784).\n\nimport gzip\nimport numpy as np\n\nmnist_dataset = {}\n\n# Images\nfor key in (\"training_images\", \"test_images\"):\n with gzip.open(os.path.join(data_dir, data_sources[key]), \"rb\") as mnist_file:\n mnist_dataset[key] = np.frombuffer(\n mnist_file.read(), np.uint8, offset=16\n ).reshape(-1, 28 * 28)\n# Labels\nfor key in (\"training_labels\", \"test_labels\"):\n with gzip.open(os.path.join(data_dir, data_sources[key]), \"rb\") as mnist_file:\n mnist_dataset[key] = np.frombuffer(mnist_file.read(), np.uint8, offset=8)\n\n\n\n4. Split the data into training and test sets using the standard notation of x for data and y for labels, calling the training and test set images x_train and x_test, and the labels y_train and y_test:\n\nx_train, y_train, x_test, y_test = (\n mnist_dataset[\"training_images\"],\n mnist_dataset[\"training_labels\"],\n mnist_dataset[\"test_images\"],\n mnist_dataset[\"test_labels\"],\n)\n\n\n\n5. You can confirm that the shape of the image arrays is (60000, 784) and (10000, 784) for training and test sets, respectively, and the labels — (60000,) and (10000,):\n\nprint(\n \"The shape of training images: {} and training labels: {}\".format(\n x_train.shape, y_train.shape\n )\n)\nprint(\n \"The shape of test images: {} and test labels: {}\".format(\n x_test.shape, y_test.shape\n )\n)\n\n\n\n6. And you can inspect some images using Matplotlib:\n\nimport matplotlib.pyplot as plt\n\n# Take the 60,000th image (indexed at 59,999) from the training set,\n# reshape from (784, ) to (28, 28) to have a valid shape for displaying purposes.\nmnist_image = x_train[59999, :].reshape(28, 28)\n\nfig, ax = plt.subplots()\n# Set the color mapping to grayscale to have a black background.\nax.imshow(mnist_image, cmap=\"gray\")\n\n\n\n# Display 5 random images from the training set.\nnum_examples = 5\nseed = 147197952744\nrng = np.random.default_rng(seed)\n\nfig, axes = plt.subplots(1, num_examples)\nfor sample, ax in zip(rng.choice(x_train, size=num_examples, replace=False), axes):\n ax.imshow(sample.reshape(28, 28), cmap=\"gray\")\n\n\n\nAbove are five images taken from the MNIST training set. Various hand-drawn\nArabic numerals are shown, with exact values chosen randomly with each run of the code.\n\nNote: You can also visualize a sample image as an array by printing x_train[59999]. Here, 59999 is your 60,000th training image sample (0 would be your first). Your output will be quite long and should contain an array of 8-bit integers:...\n 0, 0, 38, 48, 48, 22, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 62, 97, 198, 243, 254, 254, 212, 27, 0, 0, 0, 0,\n...\n\n# Display the label of the 60,000th image (indexed at 59,999) from the training set.\ny_train[59999]\n\n\n\n","type":"content","url":"/tutorial-deep-learning-on-mnist#id-1-load-the-mnist-dataset","position":7},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"2. Preprocess the data"},"type":"lvl2","url":"/tutorial-deep-learning-on-mnist#id-2-preprocess-the-data","position":8},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"2. Preprocess the data"},"content":"Neural networks can work with inputs that are in a form of tensors (multidimensional arrays) of floating-point type. When preprocessing the data, you should consider the following processes: \n\nvectorization and \n\nconversion to a floating-point format.\n\nSince the MNIST data is already vectorized and the arrays are of dtype uint8, your next challenge is to convert them to a floating-point format, such as float64 (\n\ndouble-precision):\n\nNormalizing the image data: a \n\nfeature scaling procedure that can speed up the neural network training process by standardizing the \n\ndistribution of your input data.\n\nOne-hot/categorical encoding of the image labels.\n\nIn practice, you can use different types of floating-point precision depending on your goals and you can find more information about that in the \n\nNvidia and \n\nGoogle Cloud blog posts.","type":"content","url":"/tutorial-deep-learning-on-mnist#id-2-preprocess-the-data","position":9},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Convert the image data to the floating-point format","lvl2":"2. Preprocess the data"},"type":"lvl3","url":"/tutorial-deep-learning-on-mnist#convert-the-image-data-to-the-floating-point-format","position":10},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Convert the image data to the floating-point format","lvl2":"2. Preprocess the data"},"content":"The images data contain 8-bit integers encoded in the [0, 255] interval with color values between 0 and 255.\n\nYou will normalize them into floating-point arrays in the [0, 1] interval by dividing them by 255.\n\n1. Check that the vectorized image data has type uint8:\n\nprint(\"The data type of training images: {}\".format(x_train.dtype))\nprint(\"The data type of test images: {}\".format(x_test.dtype))\n\n\n\n2. Normalize the arrays by dividing them by 255 (and thus promoting the data type from uint8 to float64) and then assign the train and test image data variables — x_train and x_test — to training_images and train_labels, respectively.\nTo reduce the model training and evaluation time in this example, only a subset\nof the training and test images will be used.\nBoth training_images and test_images will contain only 1,000 samples each out\nof the complete datasets of 60,000 and 10,000 images, respectively.\nThese values can be controlled by changing the training_sample and\ntest_sample below, up to their maximum values of 60,000 and 10,000.\n\ntraining_sample, test_sample = 1000, 1000\ntraining_images = x_train[0:training_sample] / 255\ntest_images = x_test[0:test_sample] / 255\n\n\n\n3. Confirm that the image data has changed to the floating-point format:\n\nprint(\"The data type of training images: {}\".format(training_images.dtype))\nprint(\"The data type of test images: {}\".format(test_images.dtype))\n\n\n\nNote: You can also check that normalization was successful by printing training_images[0] in a notebook cell. Your long output should contain an array of floating-point numbers:...\n 0. , 0. , 0.01176471, 0.07058824, 0.07058824,\n 0.07058824, 0.49411765, 0.53333333, 0.68627451, 0.10196078,\n 0.65098039, 1. , 0.96862745, 0.49803922, 0. ,\n...","type":"content","url":"/tutorial-deep-learning-on-mnist#convert-the-image-data-to-the-floating-point-format","position":11},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Convert the labels to floating point through categorical/one-hot encoding","lvl2":"2. Preprocess the data"},"type":"lvl3","url":"/tutorial-deep-learning-on-mnist#convert-the-labels-to-floating-point-through-categorical-one-hot-encoding","position":12},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Convert the labels to floating point through categorical/one-hot encoding","lvl2":"2. Preprocess the data"},"content":"You will use one-hot encoding to embed each digit label as an all-zero vector with np.zeros() and place 1 for a label index. As a result, your label data will be arrays with 1.0 (or 1.) in the position of each image label.\n\nSince there are 10 labels (from 0 to 9) in total, your arrays will look similar to this:array([0., 0., 0., 0., 0., 1., 0., 0., 0., 0.])\n\n1. Confirm that the image label data are integers with dtype uint8:\n\nprint(\"The data type of training labels: {}\".format(y_train.dtype))\nprint(\"The data type of test labels: {}\".format(y_test.dtype))\n\n\n\n2. Define a function that performs one-hot encoding on arrays:\n\ndef one_hot_encoding(labels, dimension=10):\n # Define a one-hot variable for an all-zero vector\n # with 10 dimensions (number labels from 0 to 9).\n one_hot_labels = labels[..., None] == np.arange(dimension)[None]\n # Return one-hot encoded labels.\n return one_hot_labels.astype(np.float64)\n\n\n\n3. Encode the labels and assign the values to new variables:\n\ntraining_labels = one_hot_encoding(y_train[:training_sample])\ntest_labels = one_hot_encoding(y_test[:test_sample])\n\n\n\n4. Check that the data type has changed to floating point:\n\nprint(\"The data type of training labels: {}\".format(training_labels.dtype))\nprint(\"The data type of test labels: {}\".format(test_labels.dtype))\n\n\n\n5. Examine a few encoded labels:\n\nprint(training_labels[0])\nprint(training_labels[1])\nprint(training_labels[2])\n\n\n\n...and compare to the originals:\n\nprint(y_train[0])\nprint(y_train[1])\nprint(y_train[2])\n\n\n\nYou have finished preparing the dataset.","type":"content","url":"/tutorial-deep-learning-on-mnist#convert-the-labels-to-floating-point-through-categorical-one-hot-encoding","position":13},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"3. Build and train a small neural network from scratch"},"type":"lvl2","url":"/tutorial-deep-learning-on-mnist#id-3-build-and-train-a-small-neural-network-from-scratch","position":14},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"3. Build and train a small neural network from scratch"},"content":"In this section you will familiarize yourself with some high-level concepts of the basic building blocks of a deep learning model. You can refer to the original \n\nDeep learning research publication for more information.\n\nAfterwards, you will construct the building blocks of a simple deep learning model in Python and NumPy and train it to learn to identify handwritten digits from the MNIST dataset with a certain level of accuracy.","type":"content","url":"/tutorial-deep-learning-on-mnist#id-3-build-and-train-a-small-neural-network-from-scratch","position":15},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Neural network building blocks with NumPy","lvl2":"3. Build and train a small neural network from scratch"},"type":"lvl3","url":"/tutorial-deep-learning-on-mnist#neural-network-building-blocks-with-numpy","position":16},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Neural network building blocks with NumPy","lvl2":"3. Build and train a small neural network from scratch"},"content":"Layers: These building blocks work as data filters — they process data and learn representations from inputs to better predict the target outputs.\n\nYou will use 1 hidden layer in your model to pass the inputs forward (forward propagation) and propagate the gradients/error derivatives of a loss function backward (backpropagation). These are input, hidden and output layers.\n\nIn the hidden (middle) and output (last) layers, the neural network model will compute the weighted sum of inputs. To compute this process, you will use NumPy’s matrix multiplication function (the “dot multiply” or np.dot(layer, weights)).\n\nNote: For simplicity, the bias term is omitted in this example (there is no np.dot(layer, weights) + bias).\n\nWeights: These are important adjustable parameters that the neural network fine-tunes by forward and backward propagating the data. They are optimized through a process called \n\ngradient descent. Before the model training starts, the weights are randomly initialized with NumPy’s \n\nGenerator.random().\n\nThe optimal weights should produce the highest prediction accuracy and the lowest error on the training and test sets.\n\nActivation function: Deep learning models are capable of determining non-linear relationships between inputs and outputs and these \n\nnon-linear functions are usually applied to the output of each layer.\n\nYou will use a \n\nrectified linear unit (ReLU) to the hidden layer’s output (for example, relu(np.dot(layer, weights)).\n\nRegularization: This \n\ntechnique helps prevent the neural network model from \n\noverfitting.\n\nIn this example, you will use a method called dropout — \n\ndilution — that randomly sets a number of features in a layer to 0s. You will define it with NumPy’s \n\nGenerator.integers() method and apply it to the hidden layer of the network.\n\nLoss function: The computation determines the quality of predictions by comparing the image labels (the truth) with the predicted values in the final layer’s output.\n\nFor simplicity, you will use a basic total squared error using NumPy’s np.sum() function (for example, np.sum((final_layer_output - image_labels) ** 2)).\n\nAccuracy: This metric measures the accuracy of the network’s ability to predict on the data it hasn’t seen.","type":"content","url":"/tutorial-deep-learning-on-mnist#neural-network-building-blocks-with-numpy","position":17},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Model architecture and training summary","lvl2":"3. Build and train a small neural network from scratch"},"type":"lvl3","url":"/tutorial-deep-learning-on-mnist#model-architecture-and-training-summary","position":18},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Model architecture and training summary","lvl2":"3. Build and train a small neural network from scratch"},"content":"Here is a summary of the neural network model architecture and the training process:\n\nThe input layer:\n\nIt is the input for the network — the previously preprocessed data that is loaded from training_images into layer_0.\n\nThe hidden (middle) layer:\n\nlayer_1 takes the output from the previous layer and performs matrix-multiplication of the input by weights (weights_1) with NumPy’s np.dot()).\n\nThen, this output is passed through the ReLU activation function for non-linearity and then dropout is applied to help with overfitting.\n\nThe output (last) layer:\n\nlayer_2 ingests the output from layer_1 and repeats the same “dot multiply” process with weights_2.\n\nThe final output returns 10 scores for each of the 0-9 digit labels. The network model ends with a size 10 layer — a 10-dimensional vector.\n\nForward propagation, backpropagation, training loop:\n\nIn the beginning of model training, your network randomly initializes the weights and feeds the input data forward through the hidden and output layers. This process is the forward pass or forward propagation.\n\nThen, the network propagates the “signal” from the loss function back through the hidden layer and adjusts the weights with the help of the learning rate parameter (more on that later).\n\nNote: In more technical terms, you:\n\nMeasure the error by comparing the real label of an image (the truth) with the prediction of the model.\n\nDifferentiate the loss function.\n\nIngest the \n\ngradients with the respect to the output, and backpropagate them with the respect to the inputs through the layer(s).\n\nSince the network contains tensor operations and weight matrices, backpropagation uses the \n\nchain rule.\n\nWith each iteration (epoch) of the neural network training, this forward and backward propagation cycle adjusts the weights, which is reflected in the accuracy and error metrics. As you train the model, your goal is to minimize the error and maximize the accuracy on the training data, where the model learns from, as well as the test data, where you evaluate the model.","type":"content","url":"/tutorial-deep-learning-on-mnist#model-architecture-and-training-summary","position":19},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Compose the model and begin training and testing it","lvl2":"3. Build and train a small neural network from scratch"},"type":"lvl3","url":"/tutorial-deep-learning-on-mnist#compose-the-model-and-begin-training-and-testing-it","position":20},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl3":"Compose the model and begin training and testing it","lvl2":"3. Build and train a small neural network from scratch"},"content":"Having covered the main deep learning concepts and the neural network architecture, let’s write the code.\n\n1. We’ll start by creating a new random number generator, providing a seed\nfor reproducibility:\n\nseed = 884736743\nrng = np.random.default_rng(seed)\n\n\n\n2. For the hidden layer, define the ReLU activation function for forward propagation and ReLU’s derivative that will be used during backpropagation:\n\n# Define ReLU that returns the input if it's positive and 0 otherwise.\ndef relu(x):\n return (x >= 0) * x\n\n\n# Set up a derivative of the ReLU function that returns 1 for a positive input\n# and 0 otherwise.\ndef relu2deriv(output):\n return output >= 0\n\n\n\n3. Set certain default values of \n\nhyperparameters, such as:\n\nLearning rate: learning_rate — helps limit the magnitude of weight updates to prevent them from overcorrecting.\n\nEpochs (iterations): epochs — the number of complete passes — forward and backward propagations — of the data through the network. This parameter can positively or negatively affect the results. The higher the iterations, the longer the learning process may take. Because this is a computationally intensive task, we have chosen a very low number of epochs (20). To get meaningful results, you should choose a much larger number.\n\nSize of the hidden (middle) layer in a network: hidden_size — different sizes of the hidden layer can affect the results during training and testing.\n\nSize of the input: pixels_per_image — you have established that the image input is 784 (28x28) (in pixels).\n\nNumber of labels: num_labels — indicates the output number for the output layer where the predictions occur for 10 (0 to 9) handwritten digit labels.\n\nlearning_rate = 0.005\nepochs = 20\nhidden_size = 100\npixels_per_image = 784\nnum_labels = 10\n\n\n\n4. Initialize the weight vectors that will be used in the hidden and output layers with random values:\n\nweights_1 = 0.2 * rng.random((pixels_per_image, hidden_size)) - 0.1\nweights_2 = 0.2 * rng.random((hidden_size, num_labels)) - 0.1\n\n\n\n5. Set up the neural network’s learning experiment with a training loop and start the training process.\nNote that the model is evaluated against the test set at each epoch to track\nits performance over the training epochs.\n\nStart the training process:\n\n# To store training and test set losses and accurate predictions\n# for visualization.\nstore_training_loss = []\nstore_training_accurate_pred = []\nstore_test_loss = []\nstore_test_accurate_pred = []\n\n# This is a training loop.\n# Run the learning experiment for a defined number of epochs (iterations).\nfor j in range(epochs):\n\n #################\n # Training step #\n #################\n\n # Set the initial loss/error and the number of accurate predictions to zero.\n training_loss = 0.0\n training_accurate_predictions = 0\n\n # For all images in the training set, perform a forward pass\n # and backpropagation and adjust the weights accordingly.\n for i in range(len(training_images)):\n # Forward propagation/forward pass:\n # 1. The input layer:\n # Initialize the training image data as inputs.\n layer_0 = training_images[i]\n # 2. The hidden layer:\n # Take in the training image data into the middle layer by\n # matrix-multiplying it by randomly initialized weights.\n layer_1 = np.dot(layer_0, weights_1)\n # 3. Pass the hidden layer's output through the ReLU activation function.\n layer_1 = relu(layer_1)\n # 4. Define the dropout function for regularization.\n dropout_mask = rng.integers(low=0, high=2, size=layer_1.shape)\n # 5. Apply dropout to the hidden layer's output.\n layer_1 *= dropout_mask * 2\n # 6. The output layer:\n # Ingest the output of the middle layer into the the final layer\n # by matrix-multiplying it by randomly initialized weights.\n # Produce a 10-dimension vector with 10 scores.\n layer_2 = np.dot(layer_1, weights_2)\n\n # Backpropagation/backward pass:\n # 1. Measure the training error (loss function) between the actual\n # image labels (the truth) and the prediction by the model.\n training_loss += np.sum((training_labels[i] - layer_2) ** 2)\n # 2. Increment the accurate prediction count.\n training_accurate_predictions += int(\n np.argmax(layer_2) == np.argmax(training_labels[i])\n )\n # 3. Differentiate the loss function/error.\n layer_2_delta = training_labels[i] - layer_2\n # 4. Propagate the gradients of the loss function back through the hidden layer.\n layer_1_delta = np.dot(weights_2, layer_2_delta) * relu2deriv(layer_1)\n # 5. Apply the dropout to the gradients.\n layer_1_delta *= dropout_mask\n # 6. Update the weights for the middle and input layers\n # by multiplying them by the learning rate and the gradients.\n weights_1 += learning_rate * np.outer(layer_0, layer_1_delta)\n weights_2 += learning_rate * np.outer(layer_1, layer_2_delta)\n\n # Store training set losses and accurate predictions.\n store_training_loss.append(training_loss)\n store_training_accurate_pred.append(training_accurate_predictions)\n\n ###################\n # Evaluation step #\n ###################\n\n # Evaluate model performance on the test set at each epoch.\n\n # Unlike the training step, the weights are not modified for each image\n # (or batch). Therefore the model can be applied to the test images in a\n # vectorized manner, eliminating the need to loop over each image\n # individually:\n\n results = relu(test_images @ weights_1) @ weights_2\n\n # Measure the error between the actual label (truth) and prediction values.\n test_loss = np.sum((test_labels - results) ** 2)\n\n # Measure prediction accuracy on test set\n test_accurate_predictions = np.sum(\n np.argmax(results, axis=1) == np.argmax(test_labels, axis=1)\n )\n\n # Store test set losses and accurate predictions.\n store_test_loss.append(test_loss)\n store_test_accurate_pred.append(test_accurate_predictions)\n\n # Summarize error and accuracy metrics at each epoch\n print(\n (\n f\"Epoch: {j}\\n\"\n f\" Training set error: {training_loss / len(training_images):.3f}\\n\"\n f\" Training set accuracy: {training_accurate_predictions / len(training_images)}\\n\"\n f\" Test set error: {test_loss / len(test_images):.3f}\\n\"\n f\" Test set accuracy: {test_accurate_predictions / len(test_images)}\"\n )\n )\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nThe training process may take many minutes, depending on a number of factors, such as the processing power of the machine you are running the experiment on and the number of epochs. To reduce the waiting time, you can change the epoch (iteration) variable from 100 to a lower number, reset the runtime (which will reset the weights), and run the notebook cells again.\n\nAfter executing the cell above, you can visualize the training and test set errors and accuracy for an instance of this training process.\n\nepoch_range = np.arange(epochs) + 1 # Starting from 1\n\n# The training set metrics.\ntraining_metrics = {\n \"accuracy\": np.asarray(store_training_accurate_pred) / len(training_images),\n \"error\": np.asarray(store_training_loss) / len(training_images),\n}\n\n# The test set metrics.\ntest_metrics = {\n \"accuracy\": np.asarray(store_test_accurate_pred) / len(test_images),\n \"error\": np.asarray(store_test_loss) / len(test_images),\n}\n\n# Display the plots.\nfig, axes = plt.subplots(nrows=1, ncols=2, figsize=(15, 5))\nfor ax, metrics, title in zip(\n axes, (training_metrics, test_metrics), (\"Training set\", \"Test set\")\n):\n # Plot the metrics\n for metric, values in metrics.items():\n ax.plot(epoch_range, values, label=metric.capitalize())\n ax.set_title(title)\n ax.set_xlabel(\"Epochs\")\n ax.legend()\n\n\n\nThe training and testing error is shown above in the left and right\nplots, respectively. As the number of Epochs increases, the total error\ndecreases and the accuracy increases.\n\nThe accuracy rates that your model reaches during training and testing may be somewhat plausible but you may also find the error rates to be quite high.\n\nTo reduce the error during training and testing, you can consider changing the simple loss function to, for example, categorical \n\ncross-entropy. Other possible solutions are discussed below.","type":"content","url":"/tutorial-deep-learning-on-mnist#compose-the-model-and-begin-training-and-testing-it","position":21},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"Next steps"},"type":"lvl2","url":"/tutorial-deep-learning-on-mnist#next-steps","position":22},{"hierarchy":{"lvl1":"Deep learning on MNIST","lvl2":"Next steps"},"content":"You have learned how to build and train a simple feed-forward neural network from scratch using just NumPy to classify handwritten MNIST digits.\n\nTo further enhance and optimize your neural network model, you can consider one of a mixture of the following:\n\nIncrease the training sample size from 1,000 to a higher number (up to 60,000).\n\nUse \n\nmini-batches and reduce the learning rate.\n\nAlter the architecture by introducing more hidden layers to make the network \n\ndeeper.\n\nCombine the \n\ncross-entropy loss function with a \n\nsoftmax activation function in the last layer.\n\nIntroduce convolutional layers: replace the feedforward network with a \n\nconvolutional neural network architecture.\n\nUse a higher epoch size to train longer and add more regularization techniques, such as \n\nearly stopping, to prevent \n\noverfitting.\n\nIntroduce a \n\nvalidation set for an unbiased valuation of the model fit.\n\nApply \n\nbatch normalization for faster and more stable training.\n\nTune other parameters, such as the learning rate and hidden layer size.\n\nBuilding a neural network from scratch with NumPy is a great way to learn more about NumPy and about deep learning. However, for real-world applications you should use specialized frameworks — such as \n\nPyTorch, \n\nJAX, \n\nTensorFlow or \n\nMXNet — that provide NumPy-like APIs, have built-in \n\nautomatic differentiation and GPU support, and are designed for high-performance numerical computing and machine learning.\n\nFinally, when developing a machine learning model, you should think about potential ethical issues and apply practices to avoid or mitigate those:\n\nDocument a trained model with a Model Card - see the \n\nModel Cards for Model Reporting paper by Margaret Mitchell et al..\n\nDocument a dataset with a Datasheet - see the \n\nDatasheets for Datasets paper) by Timnit Gebru et al..\n\nConsider the impact of your model - who is affected by it, who does it benefit - see \n\nthe article and \n\ntalk by Pratyusha Kalluri.\n\nFor more resources, see \n\nthis blog post by Rachel Thomas and the \n\nRadical AI podcast.\n\n(Credit to \n\nhsjeong5 for demonstrating how to download MNIST without the use of external libraries.)","type":"content","url":"/tutorial-deep-learning-on-mnist#next-steps","position":23},{"hierarchy":{"lvl1":"Masked Arrays"},"type":"lvl1","url":"/tutorial-ma","position":0},{"hierarchy":{"lvl1":"Masked Arrays"},"content":"","type":"content","url":"/tutorial-ma","position":1},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"What you’ll do"},"type":"lvl2","url":"/tutorial-ma#what-youll-do","position":2},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"What you’ll do"},"content":"Use the masked arrays module from NumPy to analyze COVID-19 data and deal with missing values.","type":"content","url":"/tutorial-ma#what-youll-do","position":3},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"What you’ll learn"},"type":"lvl2","url":"/tutorial-ma#what-youll-learn","position":4},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"What you’ll learn"},"content":"You’ll understand what are masked arrays and how they can be created\n\nYou’ll see how to access and modify data for masked arrays\n\nYou’ll be able to decide when the use of masked arrays is appropriate in some of your applications","type":"content","url":"/tutorial-ma#what-youll-learn","position":5},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"What you’ll need"},"type":"lvl2","url":"/tutorial-ma#what-youll-need","position":6},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"What you’ll need"},"content":"Basic familiarity with Python. If you would like to refresh your memory, take a look at the \n\nPython tutorial.\n\nBasic familiarity with NumPy\n\nTo run the plots on your computer, you need \n\nmatplotlib.\n\n\n\n","type":"content","url":"/tutorial-ma#what-youll-need","position":7},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"What are masked arrays?"},"type":"lvl2","url":"/tutorial-ma#what-are-masked-arrays","position":8},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"What are masked arrays?"},"content":"Consider the following problem. You have a dataset with missing or invalid entries. If you’re doing any kind of processing on this data, and want to skip or flag these unwanted entries without just deleting them, you may have to use conditionals or filter your data somehow. The \n\nnumpy.ma module provides some of the same functionality of \n\nNumPy ndarrays with added structure to ensure invalid entries are not used in computation.\n\nFrom the \n\nReference Guide:\n\nA masked array is the combination of a standard \n\nnumpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not. When an element of the mask is False, the corresponding element of the associated array is valid and is said to be unmasked. When an element of the mask is True, the corresponding element of the associated array is said to be masked (invalid).\n\nWe can think of a \n\nMaskedArray as a combination of:\n\nData, as a regular numpy.ndarray of any shape or datatype;\n\nA boolean mask with the same shape as the data;\n\nA fill_value, a value that may be used to replace the invalid entries in order to return a standard numpy.ndarray.","type":"content","url":"/tutorial-ma#what-are-masked-arrays","position":9},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"When can they be useful?"},"type":"lvl2","url":"/tutorial-ma#when-can-they-be-useful","position":10},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"When can they be useful?"},"content":"There are a few situations where masked arrays can be more useful than just eliminating the invalid entries of an array:\n\nWhen you want to preserve the values you masked for later processing, without copying the array;\n\nWhen you have to handle many arrays, each with their own mask. If the mask is part of the array, you avoid bugs and the code is possibly more compact;\n\nWhen you have different flags for missing or invalid values, and wish to preserve these flags without replacing them in the original dataset, but exclude them from computations;\n\nIf you can’t avoid or eliminate missing values, but don’t want to deal with \n\nNaN (Not a Number) values in your operations.\n\nMasked arrays are also a good idea since the numpy.ma module also comes with a specific implementation of most \n\nNumPy universal functions (ufuncs), which means that you can still apply fast vectorized functions and operations on masked data. The output is then a masked array. We’ll see some examples of how this works in practice below.\n\n","type":"content","url":"/tutorial-ma#when-can-they-be-useful","position":11},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Using masked arrays to see COVID-19 data"},"type":"lvl2","url":"/tutorial-ma#using-masked-arrays-to-see-covid-19-data","position":12},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Using masked arrays to see COVID-19 data"},"content":"From \n\nKaggle it is possible to download a dataset with initial data about the COVID-19 outbreak in the beginning of 2020. We are going to look at a small subset of this data, contained in the file who_covid_19_sit_rep_time_series.csv. (Note that this file has been replaced with a version without missing data sometime in late 2020.)\n\nimport numpy as np\nimport os\n\n# The os.getcwd() function returns the current folder; you can change\n# the filepath variable to point to the folder where you saved the .csv file\nfilepath = os.getcwd()\nfilename = os.path.join(filepath, \"who_covid_19_sit_rep_time_series.csv\")\n\n\n\nThe data file contains data of different types and is organized as follows:\n\nThe first row is a header line that (mostly) describes the data in each column that follow in the rows below, and beginning in the fourth column, the header is the date of the observation.\n\nThe second through seventh row contain summary data that is of a different type than that which we are going to examine, so we will need to exclude that from the data with which we will work.\n\nThe numerical data we wish to work with begins at column 4, row 8, and extends from there to the rightmost column and the lowermost row.\n\nLet’s explore the data inside this file for the first 14 days of records. To gather data from the .csv file, we will use the \n\nnumpy.genfromtxt function, making sure we select only the columns with actual numbers instead of the first four columns which contain location data. We also skip the first 6\nrows of this file, since they contain other data we are not interested in. Separately, we will extract the information about dates and location for this data.\n\n# Note we are using skip_header and usecols to read only portions of the\n# data file into each variable.\n# Read just the dates for columns 4-18 from the first row\ndates = np.genfromtxt(\n filename,\n dtype=np.str_,\n delimiter=\",\",\n max_rows=1,\n usecols=range(4, 18),\n encoding=\"utf-8-sig\",\n)\n# Read the names of the geographic locations from the first two\n# columns, skipping the first six rows\nlocations = np.genfromtxt(\n filename,\n dtype=np.str_,\n delimiter=\",\",\n skip_header=6,\n usecols=(0, 1),\n encoding=\"utf-8-sig\",\n)\n# Read the numeric data from just the first 14 days\nnbcases = np.genfromtxt(\n filename,\n dtype=np.int_,\n delimiter=\",\",\n skip_header=6,\n usecols=range(4, 18),\n encoding=\"utf-8-sig\",\n)\n\n\n\nIncluded in the numpy.genfromtxt function call, we have selected the \n\nnumpy.dtype for each subset of the data (either an integer - numpy.int_ - or a string of characters - numpy.str_). We have also used the encoding argument to select utf-8-sig as the encoding for the file (read more about encoding in the \n\nofficial Python documentation. You can read more about the numpy.genfromtxt function from the \n\nReference Documentation or from the \n\nBasic IO tutorial.\n\n","type":"content","url":"/tutorial-ma#using-masked-arrays-to-see-covid-19-data","position":13},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Exploring the data"},"type":"lvl2","url":"/tutorial-ma#exploring-the-data","position":14},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Exploring the data"},"content":"First of all, we can plot the whole set of data we have and see what it looks like. In order to get a readable plot, we select only a few of the dates to show in our \n\nx-axis ticks. Note also that in our plot command, we use nbcases.T (the transpose of the nbcases array) since this means we will plot each row of the file as a separate line. We choose to plot a dashed line (using the '--' line style). See the \n\nmatplotlib documentation for more info on this.\n\nimport matplotlib.pyplot as plt\n\nselected_dates = [0, 3, 11, 13]\n\nfig, ax = plt.subplots()\nax.plot(dates, nbcases.T, \"--\")\nax.set_xticks(selected_dates, dates[selected_dates])\nax.set_title(\"COVID-19 cumulative cases from Jan 21 to Feb 3 2020\")\n\n\n\nThe graph has a strange shape from January 24th to February 1st. It would be interesting to know where this data comes from. If we look at the locations array we extracted from the .csv file, we can see that we have two columns, where the first would contain regions and the second would contain the name of the country. However, only the first few rows contain data for the the first column (province names in China). Following that, we only have country names. So it would make sense to group all the data from China into a single row. For this, we’ll select from the nbcases array only the rows for which the second entry of the locations array corresponds to China. Next, we’ll use the \n\nnumpy.sum function to sum all the selected rows (axis=0). Note also that row 35 corresponds to the total counts for the whole country for each date. Since we want to calculate the sum ourselves from the provinces data, we have to remove that row first from both locations and nbcases:\n\ntotals_row = 35\nlocations = np.delete(locations, (totals_row), axis=0)\nnbcases = np.delete(nbcases, (totals_row), axis=0)\n\nchina_total = nbcases[locations[:, 1] == \"China\"].sum(axis=0)\nchina_total\n\n\n\nSomething’s wrong with this data - we are not supposed to have negative values in a cumulative data set. What’s going on?\n\n","type":"content","url":"/tutorial-ma#exploring-the-data","position":15},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Missing data"},"type":"lvl2","url":"/tutorial-ma#missing-data","position":16},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Missing data"},"content":"Looking at the data, here’s what we find: there is a period with missing data:\n\nnbcases\n\n\n\nAll the -1 values we are seeing come from numpy.genfromtxt attempting to read missing data from the original .csv file. Obviously, we\ndon’t want to compute missing data as -1 - we just want to skip this value so it doesn’t interfere in our analysis. After importing the numpy.ma module, we’ll create a new array, this time masking the invalid values:\n\nfrom numpy import ma\n\nnbcases_ma = ma.masked_values(nbcases, -1)\n\n\n\nIf we look at the nbcases_ma masked array, this is what we have:\n\nnbcases_ma\n\n\n\nWe can see that this is a different kind of array. As mentioned in the introduction, it has three attributes (data, mask and fill_value).\nKeep in mind that the mask attribute has a True value for elements corresponding to invalid data (represented by two dashes in the data attribute).\n\nLet’s try and see what the data looks like excluding the first row (data from the Hubei province in China) so we can look at the missing data more\nclosely:\n\nfig, ax = plt.subplots()\nax.plot(dates, nbcases_ma[1:].T, \"--\")\nax.set_xticks(selected_dates, dates[selected_dates])\nax.set_title(\"COVID-19 cumulative cases from Jan 21 to Feb 3 2020\")\n\n\n\nNow that our data has been masked, let’s try summing up all the cases in China:\n\nchina_masked = nbcases_ma[locations[:, 1] == \"China\"].sum(axis=0)\nchina_masked\n\n\n\nNote that china_masked is a masked array, so it has a different data structure than a regular NumPy array. Now, we can access its data directly by using the .data attribute:\n\nchina_total = china_masked.data\nchina_total\n\n\n\nThat is better: no more negative values. However, we can still see that for some days, the cumulative number of cases seems to go down (from 835 to 10, for example), which does not agree with the definition of “cumulative data”. If we look more closely at the data, we can see that in the period where there was missing data in mainland China, there was valid data for Hong Kong, Taiwan, Macau and “Unspecified” regions of China. Maybe we can remove those from the total sum of cases in China, to get a better understanding of the data.\n\nFirst, we’ll identify the indices of locations in mainland China:\n\nchina_mask = (\n (locations[:, 1] == \"China\")\n & (locations[:, 0] != \"Hong Kong\")\n & (locations[:, 0] != \"Taiwan\")\n & (locations[:, 0] != \"Macau\")\n & (locations[:, 0] != \"Unspecified*\")\n)\n\n\n\nNow, china_mask is an array of boolean values (True or False); we can check that the indices are what we wanted with the \n\nma.nonzero method for masked arrays:\n\nchina_mask.nonzero()\n\n\n\nNow we can correctly sum entries for mainland China:\n\nchina_total = nbcases_ma[china_mask].sum(axis=0)\nchina_total\n\n\n\nWe can replace the data with this information and plot a new graph, focusing on Mainland China:\n\nfig, ax = plt.subplots()\nax.plot(dates, china_total.T, \"--\")\nax.set_xticks(selected_dates, dates[selected_dates])\nax.set_title(\"COVID-19 cumulative cases from Jan 21 to Feb 3 2020 - Mainland China\")\n\n\n\nIt’s clear that masked arrays are the right solution here. We cannot represent the missing data without mischaracterizing the evolution of the curve.\n\n","type":"content","url":"/tutorial-ma#missing-data","position":17},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Fitting Data"},"type":"lvl2","url":"/tutorial-ma#fitting-data","position":18},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Fitting Data"},"content":"One possibility we can think of is to interpolate the missing data to estimate the number of cases in late January. Observe that we can select the masked elements using the .mask attribute:\n\nchina_total.mask\ninvalid = china_total[china_total.mask]\ninvalid\n\n\n\nWe can also access the valid entries by using the logical negation for this mask:\n\nvalid = china_total[~china_total.mask]\nvalid\n\n\n\nNow, if we want to create a very simple approximation for this data, we should take into account the valid entries around the invalid ones. So first let’s select the dates for which the data is valid. Note that we can use the mask from the china_total masked array to index the dates array:\n\ndates[~china_total.mask]\n\n\n\nFinally, we can use the\n\n\nfitting functionality of the numpy.polynomial\npackage to create a cubic polynomial model that fits the data as best as possible:\n\nt = np.arange(len(china_total))\nmodel = np.polynomial.Polynomial.fit(t[~china_total.mask], valid, deg=3)\n\nfig, ax = plt.subplots()\nax.plot(t, china_total)\nax.plot(t, model(t), \"--\")\n\n\n\nThis plot is not so readable since the lines seem to be over each other, so let’s summarize in a more elaborate plot. We’ll plot the real data when\navailable, and show the cubic fit for unavailable data, using this fit to compute an estimate to the observed number of cases on January 28th 2020, 7 days after the beginning of the records:\n\nfig, ax = plt.subplots()\nax.plot(t, china_total)\nax.plot(t[china_total.mask], model(t)[china_total.mask], \"--\", color=\"orange\")\nax.plot(7, model(7), \"r*\")\n\nax.set_xticks([0, 7, 13], dates[[0, 7, 13]])\nax.set_yticks([0, model(7), 10000, 17500])\nax.legend([\"Mainland China\", \"Cubic estimate\", \"7 days after start\"])\nax.set_title(\n \"COVID-19 cumulative cases from Jan 21 to Feb 3 2020 - Mainland China\\n\"\n \"Cubic estimate for 7 days after start\"\n)\n\n\n\n","type":"content","url":"/tutorial-ma#fitting-data","position":19},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"In practice"},"type":"lvl2","url":"/tutorial-ma#in-practice","position":20},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"In practice"},"content":"\n\nAdding -1 to missing data is not a problem with numpy.genfromtxt; in this particular case, substituting the missing value with 0 might have been fine, but we’ll see later that this is far from a general solution. Also, it is possible to call the numpy.genfromtxt function using the usemask parameter. If usemask=True, numpy.genfromtxt automatically returns a masked array.\n\n","type":"content","url":"/tutorial-ma#in-practice","position":21},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Further reading"},"type":"lvl2","url":"/tutorial-ma#further-reading","position":22},{"hierarchy":{"lvl1":"Masked Arrays","lvl2":"Further reading"},"content":"Topics not covered in this tutorial can be found in the documentation:\n\nHardmasks vs. \n\nsoftmasks\n\nThe numpy.ma module","type":"content","url":"/tutorial-ma#further-reading","position":23},{"hierarchy":{"lvl1":"Masked Arrays","lvl3":"Reference","lvl2":"Further reading"},"type":"lvl3","url":"/tutorial-ma#reference","position":24},{"hierarchy":{"lvl1":"Masked Arrays","lvl3":"Reference","lvl2":"Further reading"},"content":"Ensheng Dong, Hongru Du, Lauren Gardner, An interactive web-based dashboard to track COVID-19 in real time, The Lancet Infectious Diseases, Volume 20, Issue 5, 2020, Pages 533-534, ISSN 1473-3099, \n\nDong et al. (2020).","type":"content","url":"/tutorial-ma#reference","position":25},{"hierarchy":{"lvl1":"Plotting Fractals"},"type":"lvl1","url":"/tutorial-plotting-fractals","position":0},{"hierarchy":{"lvl1":"Plotting Fractals"},"content":"\n\nFractals are beautiful, compelling mathematical forms that can be oftentimes created from a relatively simple set of instructions. In nature they can be found in various places, such as coastlines, seashells, and ferns, and even were used in creating certain types of antennas. The mathematical idea of fractals was known for quite some time, but they really began to be truly appreciated in the 1970’s as advancements in computer graphics and some accidental discoveries lead researchers like \n\nBenoît Mandelbrot to stumble upon the truly mystifying visualizations that fractals possess.\n\nToday we will learn how to plot these beautiful visualizations and will start to do a bit of exploring for ourselves as we gain familiarity of the mathematics behind fractals and will use the ever powerful NumPy universal functions to perform the necessary calculations efficiently.\n\n","type":"content","url":"/tutorial-plotting-fractals","position":1},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"What you’ll do"},"type":"lvl2","url":"/tutorial-plotting-fractals#what-youll-do","position":2},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"What you’ll do"},"content":"Write a function for plotting various Julia sets\n\nCreate a visualization of the Mandelbrot set\n\nWrite a function that computes Newton fractals\n\nExperiment with variations of general fractal types\n\n","type":"content","url":"/tutorial-plotting-fractals#what-youll-do","position":3},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"What you’ll learn"},"type":"lvl2","url":"/tutorial-plotting-fractals#what-youll-learn","position":4},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"What you’ll learn"},"content":"A better intuition for how fractals work mathematically\n\nA basic understanding about NumPy universal functions and Boolean Indexing\n\nThe basics of working with complex numbers in NumPy\n\nHow to create your own unique fractal visualizations\n\n","type":"content","url":"/tutorial-plotting-fractals#what-youll-learn","position":5},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"What you’ll need"},"type":"lvl2","url":"/tutorial-plotting-fractals#what-youll-need","position":6},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"What you’ll need"},"content":"Matplotlib\n\nmake_axis_locatable function from mpl_toolkits API\n\nwhich can be imported as follows:\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom mpl_toolkits.axes_grid1 import make_axes_locatable\n\n\n\nSome familiarity with Python, NumPy and matplotlib\n\nAn idea of elementary mathematical functions, such as \n\nexponents, \n\nsin, \n\npolynomials etc\n\nA very basic understanding of \n\ncomplex numbers would be useful\n\nKnowledge of \n\nderivatives may be helpful\n\n","type":"content","url":"/tutorial-plotting-fractals#what-youll-need","position":7},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Warmup"},"type":"lvl2","url":"/tutorial-plotting-fractals#warmup","position":8},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Warmup"},"content":"To gain some intuition for what fractals are, we will begin with an example.\n\nConsider the following equation:\n\nf(z) = z^2 -1 \n\nwhere z is a complex number (i.e of the form a + bi )\n\nFor our convenience, we will write a Python function for it\n\ndef f(z):\n return np.square(z) - 1\n\n\n\nNote that the square function we used is an example of a NumPy universal function; we will come back to the significance of this decision shortly.\n\nTo gain some intuition for the behaviour of the function, we can try plugging in some different values.\n\nFor z = 0, we would expect to get -1:\n\nf(0)\n\n\n\nSince we used a universal function in our design, we can compute multiple inputs at the same time:\n\nz = [4, 1-0.2j, 1.6]\nf(z)\n\n\n\nSome values grow, some values shrink, some don’t experience much change.\n\nTo see the behaviour of the function on a larger scale, we can apply the function to a subset of the complex plane and plot the result. To create our subset (or mesh), we can make use of the \n\nmeshgrid function.\n\nx, y = np.meshgrid(np.linspace(-10, 10, 20), np.linspace(-10, 10, 20))\nmesh = x + (1j * y) # Make mesh of complex plane\n\n\n\nNow we will apply our function to each value contained in the mesh. Since we used a universal function in our design, this means that we can pass in the entire mesh all at once. This is extremely convenient for two reasons: It reduces the amount of code needed to be written and greatly increases the efficiency (as universal functions make use of system level C programming in their computations).\n\nHere we plot the absolute value (or modulus) of each element in the mesh after one “iteration” of the function using a \n\n3D scatterplot:\n\noutput = np.abs(f(mesh)) # Take the absolute value of the output (for plotting)\n\nfig = plt.figure()\nax = plt.axes(projection='3d')\n\nax.scatter(x, y, output, alpha=0.2)\n\nax.set_xlabel('Real axis')\nax.set_ylabel('Imaginary axis')\nax.set_zlabel('Absolute value')\nax.set_title('One Iteration: $ f(z) = z^2 - 1$');\n\n\n\nThis gives us a rough idea of what one iteration of the function does. Certain areas (notably in the areas closest to (0,0i)) remain rather small while other areas grow quite considerably. Note that we lose information about the output by taking the absolute value, but it is the only way for us to be able to make a plot.\n\nLet’s see what happens when we apply 2 iterations to the mesh:\n\noutput = np.abs(f(f(mesh)))\n\nax = plt.axes(projection='3d')\n\nax.scatter(x, y, output, alpha=0.2)\n\nax.set_xlabel('Real axis')\nax.set_ylabel('Imaginary axis')\nax.set_zlabel('Absolute value')\nax.set_title('Two Iterations: $ f(z) = z^2 - 1$');\n\n\n\nOnce again, we see that values around the origin remain small, and values with a larger absolute value (or modulus) “explode”.\n\nFrom first impression, its behaviour appears to be normal, and may even seem mundane. Fractals tend to have more to them then what meets the eye; the exotic behavior shows itself when we begin applying more iterations.\n\nConsider three complex numbers:\n\nz_1 = 0.4 + 0.4i ,\n\nz_2 = z_1 + 0.1,\n\nz_3 = z_1 + 0.1i\n\nGiven the shape of our first two plots, we would expect that these values would remain near the origin as we apply iterations to them. Let us see what happens when we apply 10 iterations to each value:\n\nselected_values = np.array([0.4 + 0.4j, 0.41 + 0.4j, 0.4 + 0.41j])\nnum_iter = 9\n\noutputs = np.zeros((num_iter+1, selected_values.shape[0]), dtype=complex)\noutputs[0] = selected_values\n\nfor i in range(num_iter):\n outputs[i+1] = f(outputs[i]) # Apply 10 iterations, save each output\n\nfig, axes = plt.subplots(1, selected_values.shape[0], figsize=(16, 6))\naxes[1].set_xlabel('Real axis')\naxes[0].set_ylabel('Imaginary axis')\n\nfor ax, data in zip(axes, outputs.T):\n cycle = ax.scatter(data.real, data.imag, c=range(data.shape[0]), alpha=0.6)\n ax.set_title(f'Mapping of iterations on {data[0]}')\n\nfig.colorbar(cycle, ax=axes, location=\"bottom\", label='Iteration');\n\n\n\nTo our surprise, the behaviour of the function did not come close to matching our hypothesis. This is a prime example of the chaotic behaviour fractals possess. In the first two plots, the value “exploded” on the last iteration, jumping way beyond the region that it was contained in previously. The third plot on the other hand remained bounded to a small region close to the origin, yielding completely different behaviour despite the tiny change in value.\n\nThis leads us to an extremely important question: How many iterations can be applied to each value before they diverge (“explode”)?\n\nAs we saw from the first two plots, the further the values were from the origin, the faster they generally exploded. Although the behaviour is uncertain for smaller values (like z_1, z_2, z_3), we can assume that if a value surpasses a certain distance from the origin (say 2) that it is doomed to diverge. We will call this threshold the radius.\n\nThis allows us to quantify the behaviour of the function for a particular value without having to perform as many computations. Once the radius is surpassed, we are allowed to stop iterating, which gives us a way of answering the question we posed. If we tally how many computations were applied before divergence, we gain insight into the behaviour of the function that would be hard to keep track of otherwise.\n\nOf course, we can do much better and design a function that performs the procedure on an entire mesh.\n\ndef divergence_rate(mesh, num_iter=10, radius=2):\n\n z = mesh.copy()\n diverge_len = np.zeros(mesh.shape) # Keep tally of the number of iterations\n\n # Iterate on element if and only if |element| < radius (Otherwise assume divergence)\n for i in range(num_iter):\n conv_mask = np.abs(z) < radius\n diverge_len[conv_mask] += 1\n z[conv_mask] = f(z[conv_mask])\n\n return diverge_len\n\n\n\nThe behaviour of this function may look confusing at first glance, so it will help to explain some of the notation.\n\nOur goal is to iterate over each value in the mesh and to tally the number of iterations before the value diverges. Since some values will diverge quicker than others, we need a procedure that only iterates over values that have an absolute value that is sufficiently small enough. We also want to stop tallying values once they surpass the radius. For this, we can use Boolean Indexing, a NumPy feature that when paired with universal functions is unbeatable. Boolean Indexing allows for operations to be performed conditionally on a NumPy array without having to resort to looping over and checking for each array value individually.\n\nIn our case, we use a loop to apply iterations to our function f(z) = z^2 -1 and keep tally. Using Boolean indexing, we only apply the iterations to values that have an absolute value less than 2.\n\nWith that out of the way, we can go about plotting our first fractal! We will use the \n\nimshow function to create a colour-coded visualization of the tallies.\n\nx, y = np.meshgrid(np.linspace(-2, 2, 400), np.linspace(-2, 2, 400))\nmesh = x + (1j * y)\n\noutput = divergence_rate(mesh)\n\nfig, ax = plt.subplots(figsize=(5, 5))\n\nax.set_title('$f(z) = z^2 -1$')\nax.set_xlabel('Real axis')\nax.set_ylabel('Imaginary axis')\n\nim = ax.imshow(output, extent=[-2, 2, -2, 2])\ndivider = make_axes_locatable(ax)\ncax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\nplt.colorbar(im, cax=cax, label='Number of iterations');\n\n\n\nWhat this stunning visual conveys is the complexity of the function’s behaviour. The yellow region represents values that remain small, while the purple region represents the divergent values. The beautiful pattern that arises on the border of the converging and diverging values is even more fascinating when you realize that it is created from such a simple function.\n\n","type":"content","url":"/tutorial-plotting-fractals#warmup","position":9},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Julia set"},"type":"lvl2","url":"/tutorial-plotting-fractals#julia-set","position":10},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Julia set"},"content":"What we just explored was an example of a fractal visualization of a specific Julia Set.\n\nConsider the function f(z) = z^2 + c where c is a complex number. The filled-in Julia set of c is the set of all complex numbers z in which the function converges at f(z). Likewise, the boundary of the filled-in Julia set is what we call the Julia set. In our above visualization, we can see that the yellow region represents an approximation of the filled-in Julia set for c = -1 and the greenish-yellow border would contain the Julia set.\n\nTo gain access to a wider range of “Julia fractals”, we can write a function that allows for different values of c to be passed in:\n\ndef julia(mesh, c=-1, num_iter=10, radius=2):\n\n z = mesh.copy()\n diverge_len = np.zeros(z.shape)\n\n for i in range(num_iter):\n conv_mask = np.abs(z) < radius\n z[conv_mask] = np.square(z[conv_mask]) + c\n diverge_len[conv_mask] += 1\n\n return diverge_len\n\n\n\nTo make our lives easier, we will create a couple meshes that we will reuse throughout the rest of the examples:\n\nx, y = np.meshgrid(np.linspace(-1, 1, 400), np.linspace(-1, 1, 400))\nsmall_mesh = x + (1j * y)\n\nx, y = np.meshgrid(np.linspace(-2, 2, 400), np.linspace(-2, 2, 400))\nmesh = x + (1j * y)\n\n\n\nWe will also write a function that we will use to create our fractal plots:\n\ndef plot_fractal(fractal, title='Fractal', figsize=(6, 6), cmap='rainbow', extent=[-2, 2, -2, 2]):\n\n fig, ax = plt.subplots(figsize=figsize)\n\n ax.set_title(f'${title}$')\n ax.set_xlabel('Real axis')\n ax.set_ylabel('Imaginary axis')\n\n im = ax.imshow(fractal, extent=extent, cmap=cmap)\n divider = make_axes_locatable(ax)\n cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n plt.colorbar(im, cax=cax, label='Number of iterations')\n\n\n\nUsing our newly defined functions, we can make a quick plot of the first fractal again:\n\noutput = julia(mesh, num_iter=15)\nkwargs = {'title': 'f(z) = z^2 -1'}\n\nplot_fractal(output, **kwargs);\n\n\n\nWe also can explore some different Julia sets by experimenting with different values of c. It can be surprising how much influence it has on the shape of the fractal.\n\nFor example, setting c = \\frac{\\pi}{10} gives us a very elegant cloud shape, while setting c = -\\frac{3}{4} + 0.4i yields a completely different pattern.\n\noutput = julia(mesh, c=np.pi/10, num_iter=20)\nkwargs = {'title': r'f(z) = z^2 + \\dfrac{\\pi}{10}', 'cmap': 'plasma'}\n\nplot_fractal(output, **kwargs);\n\n\n\n\n\noutput = julia(mesh, c=-0.75 + 0.4j, num_iter=20)\nkwargs = {'title': r'f(z) = z^2 - \\dfrac{3}{4} + 0.4i', 'cmap': 'Greens_r'}\n\nplot_fractal(output, **kwargs);\n\n\n\n","type":"content","url":"/tutorial-plotting-fractals#julia-set","position":11},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Mandelbrot set"},"type":"lvl2","url":"/tutorial-plotting-fractals#mandelbrot-set","position":12},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Mandelbrot set"},"content":"Closely related to the Julia set is the famous Mandelbrot set, which has a slightly different definition. Once again, we define f(z) = z^2 + c where c is a complex number, but this time our focus is on our choice of c. We say that c is an element of the Mandelbrot set if f converges at z = 0. An equivalent definition is to say that c is an element of the Mandelbrot set if f(c) can be iterated infinitely and not ‘explode’. We will tweak our Julia function slightly (and rename it appropriately) so that we can plot a visualization of the Mandelbrot set, which possesses an elegant fractal pattern.\n\ndef mandelbrot(mesh, num_iter=10, radius=2):\n\n c = mesh.copy()\n z = np.zeros(mesh.shape, dtype=np.complex128)\n diverge_len = np.zeros(z.shape)\n\n for i in range(num_iter):\n conv_mask = np.abs(z) < radius\n z[conv_mask] = np.square(z[conv_mask]) + c[conv_mask]\n diverge_len[conv_mask] += 1\n\n return diverge_len\n\n\n\n\n\noutput = mandelbrot(mesh, num_iter=50)\nkwargs = {'title': 'Mandelbrot \\\\ set', 'cmap': 'hot'}\n\nplot_fractal(output, **kwargs);\n\n\n\n","type":"content","url":"/tutorial-plotting-fractals#mandelbrot-set","position":13},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Generalizing the Julia set"},"type":"lvl2","url":"/tutorial-plotting-fractals#generalizing-the-julia-set","position":14},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Generalizing the Julia set"},"content":"We can generalize our Julia function even further by giving it a parameter for which universal function we would like to pass in. This would allow us to plot fractals of the form f(z) = g(z) + c where g is a universal function selected by us.\n\ndef general_julia(mesh, c=-1, f=np.square, num_iter=100, radius=2):\n\n z = mesh.copy()\n diverge_len = np.zeros(z.shape)\n\n for i in range(num_iter):\n conv_mask = np.abs(z) < radius\n z[conv_mask] = f(z[conv_mask]) + c\n diverge_len[conv_mask] += 1\n\n return diverge_len\n\n\n\nOne cool set of fractals that can be plotted using our general Julia function are ones of the form f(z) = z^n + c for some positive integer n. A very cool pattern which emerges is that the number of regions that ‘stick out’ matches the degree in which we raise the function to while iterating over it.\n\nfig, axes = plt.subplots(2, 3, figsize=(8, 8))\nbase_degree = 2\n\nfor deg, ax in enumerate(axes.ravel()):\n degree = base_degree + deg\n power = lambda z: np.power(z, degree) # Create power function for current degree\n\n diverge_len = general_julia(mesh, f=power, num_iter=15)\n ax.imshow(diverge_len, extent=[-2, 2, -2, 2], cmap='binary')\n ax.set_title(f'$f(z) = z^{degree} -1$')\n\n\n\nNeedless to say, there is a large amount of exploring that can be done by fiddling with the inputted function, value of c, number of iterations, radius and even the density of the mesh and choice of colours.\n\n","type":"content","url":"/tutorial-plotting-fractals#generalizing-the-julia-set","position":15},{"hierarchy":{"lvl1":"Plotting Fractals","lvl3":"Newton Fractals","lvl2":"Generalizing the Julia set"},"type":"lvl3","url":"/tutorial-plotting-fractals#newton-fractals","position":16},{"hierarchy":{"lvl1":"Plotting Fractals","lvl3":"Newton Fractals","lvl2":"Generalizing the Julia set"},"content":"Newton fractals are a specific class of fractals, where iterations involve adding or subtracting the ratio of a function (often a polynomial) and its derivative to the input values. Mathematically, it can be expressed as:\n\nz := z - \\frac{f(z)}{f'(z)}\n\nWe will define a general version of the fractal which will allow for different variations to be plotted by passing in our functions of choice.\n\ndef newton_fractal(mesh, f, df, num_iter=10, r=2):\n\n z = mesh.copy()\n diverge_len = np.zeros(z.shape)\n\n for i in range(num_iter):\n conv_mask = np.abs(z) < r\n pz = f(z[conv_mask])\n dp = df(z[conv_mask])\n z[conv_mask] = z[conv_mask] - pz/dp\n diverge_len[conv_mask] += 1\n\n return diverge_len\n\n\n\nNow we can experiment with some different functions. For polynomials, we can create our plots quite effortlessly using the \n\nNumPy Polynomial class, which has built in functionality for computing derivatives.\n\nFor example, let’s try a higher-degree polynomial:\n\np = np.polynomial.Polynomial([-16, 0, 0, 0, 15, 0, 0, 0, 1])\np\n\n\n\nwhich has the derivative:\n\np.deriv()\n\n\n\n\n\noutput = newton_fractal(mesh, p, p.deriv(), num_iter=15, r=2)\nkwargs = {'title': r'f(z) = z - \\dfrac{(z^8 + 15z^4 - 16)}{(8z^7 + 60z^3)}', 'cmap': 'copper'}\n\nplot_fractal(output, **kwargs)\n\n\n\nBeautiful! Let’s try another one:\n\nf(z) = tan^2(z)\n\n\\frac{df}{dz} = 2 \\cdot tan(z) sec^2(z) =\\frac{2 \\cdot tan(z)}{cos^2(z)}\n\nThis makes \\frac{f(z)}{f'(z)} = tan^2(z) \\cdot \\frac{cos^2(z)}{2 \\cdot tan(z)} = \\frac{tan(z)\\cdot cos^2(z)}{2} = \\frac{sin(z)\\cdot cos(z)}{2}\n\ndef f_tan(z):\n return np.square(np.tan(z))\n\n\ndef d_tan(z):\n return 2*np.tan(z) / np.square(np.cos(z))\n\n\n\n\n\noutput = newton_fractal(mesh, f_tan, d_tan, num_iter=15, r=50)\nkwargs = {'title': r'f(z) = z - \\dfrac{sin(z)cos(z)}{2}', 'cmap': 'binary'}\n\nplot_fractal(output, **kwargs);\n\n\n\nNote that you sometimes have to play with the radius in order to get a neat looking fractal.\n\nFinally, we can go a little bit wild with our function selection\n\nf(z) = \\sum_{i=1}^{10} sin^i(z)\n\n\\frac{df}{dz} = \\sum_{i=1}^{10} i \\cdot sin^{i-1}(z) \\cdot cos(z)\n\ndef sin_sum(z, n=10):\n total = np.zeros(z.size, dtype=z.dtype)\n for i in range(1, n+1):\n total += np.power(np.sin(z), i)\n return total\n\n\ndef d_sin_sum(z, n=10):\n total = np.zeros(z.size, dtype=z.dtype)\n for i in range(1, n+1):\n total += i * np.power(np.sin(z), i-1) * np.cos(z)\n return total\n\n\n\nWe will denote this one ‘Wacky fractal’, as its equation would not be fun to try and put in the title.\n\noutput = newton_fractal(small_mesh, sin_sum, d_sin_sum, num_iter=10, r=1)\nkwargs = {'title': 'Wacky \\\\ fractal', 'figsize': (6, 6), 'extent': [-1, 1, -1, 1], 'cmap': 'terrain'}\n\nplot_fractal(output, **kwargs)\n\n\n\nIt is truly fascinating how distinct yet similar these fractals are with each other. This leads us to the final section.\n\n","type":"content","url":"/tutorial-plotting-fractals#newton-fractals","position":17},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Creating your own fractals"},"type":"lvl2","url":"/tutorial-plotting-fractals#creating-your-own-fractals","position":18},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Creating your own fractals"},"content":"What makes fractals more exciting is how much there is to explore once you become familiar with the basics. Now we will wrap up our tutorial by exploring some of the different ways one can experiment in creating unique fractals. I encourage you to try some things out on your own (if you have not done so already).\n\nOne of the first places to experiment would be with the function for the generalized Julia set, where we can try passing in different functions as parameters.\n\nLet’s start by choosing\n\nf(z) = tan(z^2)\n\ndef f(z):\n return np.tan(np.square(z))\n\n\n\n\n\noutput = general_julia(mesh, f=f, num_iter=15, radius=2.1)\nkwargs = {'title': 'f(z) = tan(z^2)', 'cmap': 'gist_stern'}\n\nplot_fractal(output, **kwargs);\n\n\n\nWhat happens if we compose our defined function inside of a sine function?\n\nLet’s try defining\n\ng(z) = sin(f(z)) = sin(tan(z^2))\n\ndef g(z):\n return np.sin(f(z))\n\n\n\n\n\noutput = general_julia(mesh, f=g, num_iter=15, radius=2.1)\nkwargs = {'title': 'g(z) = sin(tan(z^2))', 'cmap': 'plasma_r'}\n\nplot_fractal(output, **kwargs);\n\n\n\nNext, let’s create a function that applies both f and g to the inputs each iteration and adds the result together:\n\nh(z) = f(z) + g(z) = tan(z^2) + sin(tan(z^2))\n\ndef h(z):\n return f(z) + g(z)\n\n\n\n\n\noutput = general_julia(small_mesh, f=h, num_iter=10, radius=2.1)\nkwargs = {'title': 'h(z) = tan(z^2) + sin(tan(z^2))', 'figsize': (7, 7), 'extent': [-1, 1, -1, 1], 'cmap': 'jet'}\n\nplot_fractal(output, **kwargs);\n\n\n\nYou can even create beautiful fractals through your own errors. Here is one that got created accidently by making a mistake in computing the derivative of a Newton fractal:\n\ndef accident(z):\n return z - (2 * np.power(np.tan(z), 2) / (np.sin(z) * np.cos(z)))\n\n\n\n\n\noutput = general_julia(mesh, f=accident, num_iter=15, c=0, radius=np.pi)\nkwargs = {'title': 'Accidental \\\\ fractal', 'cmap': 'Blues'}\n\nplot_fractal(output, **kwargs);\n\n\n\nNeedless to say, there are a nearly endless supply of interesting fractal creations that can be made just by playing around with various combinations of NumPy universal functions and by tinkering with the parameters.\n\n","type":"content","url":"/tutorial-plotting-fractals#creating-your-own-fractals","position":19},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"In conclusion"},"type":"lvl2","url":"/tutorial-plotting-fractals#in-conclusion","position":20},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"In conclusion"},"content":"We learned a lot about generating fractals today. We saw how complicated fractals requiring many iterations could be computed efficiently using universal functions. We also took advantage of boolean indexing, which allowed for less computations to be made without having to individually verify each value. Finally, we learned a lot about fractals themselves. As a recap:\n\nFractal images are created by iterating a function over a set of values, and keeping tally of how long it takes for each value to pass a certain threshold\n\nThe colours in the image correspond to the tally counts of the values\n\nThe filled-in Julia set for c consists of all complex numbers z in which f(z) = z^2 + c converges\n\nThe Julia set for c is the set of complex numbers that make up the boundary of the filled-in Julia set\n\nThe Mandelbrot set is all values c in which f(z) = z^2 + c converges at 0\n\nNewton fractals use functions of the form f(z) = z - \\frac{p(z)}{p'(z)}\n\nThe fractal images can vary as you adjust the number of iterations, radius of convergence, mesh size, colours, function choice and parameter choice\n\n","type":"content","url":"/tutorial-plotting-fractals#in-conclusion","position":21},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"On your own"},"type":"lvl2","url":"/tutorial-plotting-fractals#on-your-own","position":22},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"On your own"},"content":"Play around with the parameters of the generalized Julia set function, try playing with the constant value, number of iterations, function choice, radius, and colour choice.\n\nVisit the “List of fractals by Hausdorff dimension” Wikipedia page (linked in the Further reading section) and try writing a function for a fractal not mentioned in this tutorial.\n\n","type":"content","url":"/tutorial-plotting-fractals#on-your-own","position":23},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Further reading"},"type":"lvl2","url":"/tutorial-plotting-fractals#further-reading","position":24},{"hierarchy":{"lvl1":"Plotting Fractals","lvl2":"Further reading"},"content":"More information on the theory behind fractals\n\nFurther reading on Julia sets\n\nMore details about the Mandelbrot set\n\nA more complete treatment of Newton Fractals\n\nA list of different fractals","type":"content","url":"/tutorial-plotting-fractals#further-reading","position":25},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy"},"type":"lvl1","url":"/tutorial-static-equilibrium","position":0},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy"},"content":"When analyzing physical structures, it is crucial to understand the mechanics keeping them stable. Applied forces on a floor, a beam, or any other structure, create reaction forces and moments. These reactions are the structure resisting movement without breaking. In cases where structures do not move despite having forces applied to them, \n\nNewton’s second law states that both the acceleration and sum of forces in all directions in the system must be zero. You can represent and solve this concept with NumPy arrays.","type":"content","url":"/tutorial-static-equilibrium","position":1},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"What you’ll do:"},"type":"lvl2","url":"/tutorial-static-equilibrium#what-youll-do","position":2},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"What you’ll do:"},"content":"In this tutorial, you will use NumPy to create vectors and moments using NumPy arrays\n\nSolve problems involving cables and floors holding up structures\n\nWrite NumPy matrices to isolate unkowns\n\nUse NumPy functions to perform linear algebra operations","type":"content","url":"/tutorial-static-equilibrium#what-youll-do","position":3},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"What you’ll learn:"},"type":"lvl2","url":"/tutorial-static-equilibrium#what-youll-learn","position":4},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"What you’ll learn:"},"content":"How to represent points, vectors, and moments with NumPy.\n\nHow to find the \n\nnormal of vectors\n\nUsing NumPy to compute matrix calculations","type":"content","url":"/tutorial-static-equilibrium#what-youll-learn","position":5},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"What you’ll need:"},"type":"lvl2","url":"/tutorial-static-equilibrium#what-youll-need","position":6},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"What you’ll need:"},"content":"NumPy\n\nMatplotlib\n\nimported with the following comands:\n\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n\n\nIn this tutorial you will use the following NumPy tools:\n\nnp.linalg.norm : this function determines the measure of vector magnitude\n\nnp.cross : this function takes two matrices and produces the cross product\n\n","type":"content","url":"/tutorial-static-equilibrium#what-youll-need","position":7},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"Solving equilibrium with Newton’s second law"},"type":"lvl2","url":"/tutorial-static-equilibrium#solving-equilibrium-with-newtons-second-law","position":8},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"Solving equilibrium with Newton’s second law"},"content":"Your model consists of a beam under a sum of forces and moments. You can start analyzing this system with Newton’s second law:\\sum{\\text{force}} = \\text{mass} \\times \\text{acceleration}.\n\nIn order to simplify the examples looked at, assume they are static, with acceleration =0. Due to our system existing in three dimensions, consider forces being applied in each of these dimensions. This means that you can represent these forces as vectors. You come to the same conclusion for \n\nmoments, which result from forces being applied a certain distance away from an object’s center of mass.\n\nAssume that the force F is represented as a three-dimensional vectorF = (F_x, F_y, F_z)\n\nwhere each of the three components represent the magnitude of the force being applied in each corresponding direction. Assume also that each component in the vectorr = (r_x, r_y, r_z)\n\nis the distance between the point where each component of the force is applied and the centroid of the system. Then, the moment can be computed byr \\times F = (r_x, r_y, r_z) \\times (F_x, F_y, F_z).\n\nStart with some simple examples of force vectors\n\nforceA = np.array([1, 0, 0])\nforceB = np.array([0, 1, 0])\nprint(\"Force A =\", forceA)\nprint(\"Force B =\", forceB)\n\n\n\nThis defines forceA as being a vector with magnitude of 1 in the x direction and forceB as magnitude 1 in the y direction.\n\nIt may be helpful to visualize these forces in order to better understand how they interact with each other.\nMatplotlib is a library with visualization tools that can be utilized for this purpose.\nQuiver plots will be used to demonstrate \n\nthree dimensional vectors, but the library can also be used for \n\ntwo dimensional demonstrations.\n\nfig = plt.figure()\n\nd3 = fig.add_subplot(projection=\"3d\")\n\nd3.set_xlim(-1, 1)\nd3.set_ylim(-1, 1)\nd3.set_zlim(-1, 1)\n\nx, y, z = np.array([0, 0, 0]) # defining the point of application. Make it the origin\n\nu, v, w = forceA # breaking the force vector into individual components\nd3.quiver(x, y, z, u, v, w, color=\"r\", label=\"forceA\")\n\nu, v, w = forceB\nd3.quiver(x, y, z, u, v, w, color=\"b\", label=\"forceB\")\n\nd3.legend()\n\n\n\nThere are two forces emanating from a single point. In order to simplify this problem, you can add them together to find the sum of forces. Note that both forceA and forceB are three-dimensional vectors, represented by NumPy as arrays with three components. Because NumPy is meant to simplify and optimize operations between vectors, you can easily compute the sum of these two vectors as follows:\n\nforceC = forceA + forceB\nprint(\"Force C =\", forceC)\n\n\n\nForce C now acts as a single force that represents both A and B.\nYou can plot it to see the result.\n\nfig = plt.figure()\n\nd3 = fig.add_subplot(projection=\"3d\")\n\nd3.set_xlim(-1, 1)\nd3.set_ylim(-1, 1)\nd3.set_zlim(-1, 1)\n\nx, y, z = np.array([0, 0, 0])\n\nu, v, w = forceA\nd3.quiver(x, y, z, u, v, w, color=\"r\", label=\"forceA\")\nu, v, w = forceB\nd3.quiver(x, y, z, u, v, w, color=\"b\", label=\"forceB\")\nu, v, w = forceC\nd3.quiver(x, y, z, u, v, w, color=\"g\", label=\"forceC\")\n\nd3.legend()\n\n\n\nHowever, the goal is equilibrium.\nThis means that you want your sum of forces to be (0, 0, 0) or else your object will experience acceleration.\nTherefore, there needs to be another force that counteracts the prior ones.\n\nYou can write this problem as A+B+R=0, with R being the reaction force that solves the problem.\n\nIn this example this would mean:(1, 0, 0) + (0, 1, 0) + (R_x, R_y, R_z) = (0, 0, 0)\n\nBroken into x, y, and z components this gives you:\\begin{cases}\n1+0+R_x=0\\\\\n0+1+R_y=0\\\\\n0+0+R_z=0\n\\end{cases}\n\nsolving for R_x, R_y, and R_z gives you a vector R of (-1, -1, 0).\n\nIf plotted, the forces seen in prior examples should be nullified.\nOnly if there is no force remaining is the system considered to be in equilibrium.\n\nR = np.array([-1, -1, 0])\n\nfig = plt.figure()\n\nd3.set_xlim(-1, 1)\nd3.set_ylim(-1, 1)\nd3.set_zlim(-1, 1)\n\nd3 = fig.add_subplot(projection=\"3d\")\n\nx, y, z = np.array([0, 0, 0])\n\nu, v, w = forceA + forceB + R # add them all together for sum of forces\nd3.quiver(x, y, z, u, v, w)\n\n\n\n\n\nThe empty graph signifies that there are no outlying forces. This denotes a system in equilibrium.","type":"content","url":"/tutorial-static-equilibrium#solving-equilibrium-with-newtons-second-law","position":9},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"Solving Equilibrium as a sum of moments"},"type":"lvl2","url":"/tutorial-static-equilibrium#solving-equilibrium-as-a-sum-of-moments","position":10},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"Solving Equilibrium as a sum of moments"},"content":"Next let’s move to a more complicated application.\nWhen forces are not all applied at the same point, moments are created.\n\nSimilar to forces, these moments must all sum to zero, otherwise rotational acceleration will be experienced. Similar to the sum of forces, this creates a linear equation for each of the three coordinate directions in space.\n\nA simple example of this would be from a force applied to a stationary pole secured in the ground.\nThe pole does not move, so it must apply a reaction force.\nThe pole also does not rotate, so it must also be creating a reaction moment.\nSolve for both the reaction force and moments.\n\nLet’s say a 5N force is applied perpendicularly 2m above the base of the pole.\n\nf = 5 # Force in newtons\nL = 2 # Length of the pole\n\nR = 0 - f\nM = 0 - f * L\nprint(\"Reaction force =\", R)\nprint(\"Reaction moment =\", M)\n\n\n\n","type":"content","url":"/tutorial-static-equilibrium#solving-equilibrium-as-a-sum-of-moments","position":11},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"Finding values with physical properties"},"type":"lvl2","url":"/tutorial-static-equilibrium#finding-values-with-physical-properties","position":12},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"Finding values with physical properties"},"content":"Let’s say that instead of a force acting perpendicularly to the beam, a force was applied to our pole through a wire that was also attached to the ground.\nGiven the tension in this cord, all you need to solve this problem are the physical locations of these objects.\n\nIn response to the forces acting upon the pole, the base generated reaction forces in the x and y directions, as well as a reaction moment.\n\nDenote the base of the pole as the origin.\nNow, say the cord is attached to the ground 3m in the x direction and attached to the pole 2m up, in the z direction.\n\nDefine these points in space as NumPy arrays, and then use those arrays to find directional vectors.\n\npoleBase = np.array([0, 0, 0])\ncordBase = np.array([3, 0, 0])\ncordConnection = np.array([0, 0, 2])\n\npoleDirection = cordConnection - poleBase\nprint(\"Pole direction =\", poleDirection)\ncordDirection = cordBase - cordConnection\nprint(\"Cord direction =\", cordDirection)\n\n\n\nIn order to use these vectors in relation to forces you need to convert them into unit vectors.\nUnit vectors have a magnitude of one, and convey only the direction of the forces.\n\ncordUnit = cordDirection / np.linalg.norm(cordDirection)\nprint(\"Cord unit vector =\", cordUnit)\n\n\n\nYou can then multiply this direction with the magnitude of the force in order to find the force vector.\n\nLet’s say the cord has a tension of 5N:\n\ncordTension = 5\nforceCord = cordUnit * cordTension\nprint(\"Force from the cord =\", forceCord)\n\n\n\nIn order to find the moment you need the cross product of the force vector and the radius.\n\nmomentCord = np.cross(forceCord, poleDirection)\nprint(\"Moment from the cord =\", momentCord)\n\n\n\nNow all you need to do is find the reaction force and moment.\n\nequilibrium = np.array([0, 0, 0])\nR = equilibrium - forceCord\nM = equilibrium - momentCord\nprint(\"Reaction force =\", R)\nprint(\"Reaction moment =\", M)\n\n\n\n","type":"content","url":"/tutorial-static-equilibrium#finding-values-with-physical-properties","position":13},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl3":"Another Example","lvl2":"Finding values with physical properties"},"type":"lvl3","url":"/tutorial-static-equilibrium#another-example","position":14},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl3":"Another Example","lvl2":"Finding values with physical properties"},"content":"Let’s look at a slightly more complicated model. In this example you will be observing a beam with two cables and an applied force. This time you need to find both the tension in the cords and the reaction forces of the beam. (Source: \n\nVector Mechanics for Engineers: Statics and Dynamics, Problem 4.106)\n\nDefine distance a as 3 meters\n\nAs before, start by defining the location of each relevant point as an array.\n\nA = np.array([0, 0, 0])\nB = np.array([0, 3, 0])\nC = np.array([0, 6, 0])\nD = np.array([1.5, 0, -3])\nE = np.array([1.5, 0, 3])\nF = np.array([-3, 0, 2])\n\n\n\nFrom these equations, you start by determining vector directions with unit vectors.\n\nAB = B - C\nAC = C - A\nBD = D - B\nBE = E - B\nCF = F - C\n\nUnitBD = BD / np.linalg.norm(BD)\nUnitBE = BE / np.linalg.norm(BE)\nUnitCF = CF / np.linalg.norm(CF)\n\nRadBD = np.cross(AB, UnitBD)\nRadBE = np.cross(AB, UnitBE)\nRadCF = np.cross(AC, UnitCF)\n\n\n\nThis lets you represent the tension (T) and reaction (R) forces acting on the system as\\left[\n\\begin{array}{ccccc}\n~1/3 & 1/3 & 1 & 0 & 0\\\\\n-2/3 & -2/3 & 0 & 1 & 0\\\\\n-2/3 & 2/3 & 0 & 0 & 1\\\\\n\\end{array}\n\\right]\n\\left[\n\\begin{array}{c}\n~T_{BD}\\\\\nT_{BE}\\\\\nR_{x}\\\\\nR_{y}\\\\\nR_{z}\\\\\n\\end{array}\n\\right]\n=\n\\left[\n\\begin{array}{c}\n~195\\\\\n390\\\\\n-130\\\\\n\\end{array}\n\\right]\n\nand the moments as\\left[\n\\begin{array}{cc}\n~2 & -2\\\\\n1 & 1\\\\\n\\end{array}\n\\right]\n\\left[\n\\begin{array}{c}\n~T_{BD}\\\\\nT_{BE}\\\\\n\\end{array}\n\\right]\n=\n\\left[\n\\begin{array}{c}\n~780\\\\\n1170\\\\\n\\end{array}\n\\right]\n\nWhere T is the tension in the respective cord and R is the reaction force in a respective direction. Then you just have six equations:\n\n\\sum F_{x} = 0 = T_{BE}/3+T_{BD}/3-195+R_{x}\n\n\\sum F_{y} = 0 = (-\\frac{2}{3})T_{BE}-\\frac{2}{3}T_{BD}-390+R_{y}\n\n\\sum F_{z} = 0 = (-\\frac{2}{3})T_{BE}+\\frac{2}{3}T_{BD}+130+R_{z}\n\n\\sum M_{x} = 0 = 780+2T_{BE}-2T_{BD}\n\n\\sum M_{z} = 0 = 1170-T_{BE}-T_{BD}\n\nYou now have five unknowns with five equations, and can solve for:\n\n\\ T_{BD} = 780N\n\n\\ T_{BE} = 390N\n\n\\ R_{x} = -195N\n\n\\ R_{y} = 1170N\n\n\\ R_{z} = 130N\n\n","type":"content","url":"/tutorial-static-equilibrium#another-example","position":15},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"Wrapping up"},"type":"lvl2","url":"/tutorial-static-equilibrium#wrapping-up","position":16},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl2":"Wrapping up"},"content":"You have learned how to use arrays to represent points, forces, and moments in three dimensional space. Each entry in an array can be used to represent a physical property broken into directional components. These can then be easily manipulated with NumPy functions.","type":"content","url":"/tutorial-static-equilibrium#wrapping-up","position":17},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl3":"Additional Applications","lvl2":"Wrapping up"},"type":"lvl3","url":"/tutorial-static-equilibrium#additional-applications","position":18},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl3":"Additional Applications","lvl2":"Wrapping up"},"content":"This same process can be applied to kinetic problems or in any number of dimensions. The examples done in this tutorial assumed three dimensional problems in static equilibrium. These methods can easily be used in more varied problems. More or less dimensions require larger or smaller arrays to represent. In systems experiencing acceleration, velocity and acceleration can be similarly be represented as vectors as well.","type":"content","url":"/tutorial-static-equilibrium#additional-applications","position":19},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl3":"References","lvl2":"Wrapping up"},"type":"lvl3","url":"/tutorial-static-equilibrium#references","position":20},{"hierarchy":{"lvl1":"Determining Static Equilibrium in NumPy","lvl3":"References","lvl2":"Wrapping up"},"content":"Vector Mechanics for Engineers: Statics and Dynamics (Beer & Johnston & Mazurek & et al.)\n\nNumPy Reference","type":"content","url":"/tutorial-static-equilibrium#references","position":21},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial"},"type":"lvl1","url":"/tutorial-style-guide","position":0},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial"},"content":"\n\nImage credit: Daniele Procida's \n\nDiátaxis framework, licensed under \n\nCC-BY-SA 4.0.\n\n","type":"content","url":"/tutorial-style-guide","position":1},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"What you’ll do"},"type":"lvl2","url":"/tutorial-style-guide#what-youll-do","position":2},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"What you’ll do"},"content":"Guided by a template, you’ll write a NumPy tutorial.","type":"content","url":"/tutorial-style-guide#what-youll-do","position":3},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"What you’ll learn"},"type":"lvl2","url":"/tutorial-style-guide#what-youll-learn","position":4},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"What you’ll learn"},"content":"You’ll be able to craft a tutorial that follows a standard format and reflects good teaching practice.\n\nYou’ll learn the three standard headings that open a NumPy tutorial -- What you’ll do, What you’ll learn, and What you’ll need -- and some optional headings for the bottom -- On your own, In practice, Further reading.\n\nYou’ll know what makes What you’ll learn different from What you’ll do.\n\nYou’ll be able to distinguish a tutorial from a how-to.\n\nYou’ll learn what not to put in a What you’ll learn section.","type":"content","url":"/tutorial-style-guide#what-youll-learn","position":5},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"What you’ll need"},"type":"lvl2","url":"/tutorial-style-guide#what-youll-need","position":6},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"What you’ll need"},"content":"This template.\n\nA portrait of your intended reader.\n\nJust as schools list prerequisites for higher-level courses, you can assume readers know some things (which you must list, as noted in the next bullet). Overexplaining bogs down the tutorial and obscures the main points.\n\nBut also put yourself in the reader’s place and consider what to explain along the way.\n\n“What you’ll need” is a list of:\n\npackages that must be present on the user’s machine before they begin. Don’t include numpy.\n\nwhat you assumed the reader knew in the bullet above. Don’t say Python; familiarity with Python iterators is fine.\n\nInformality and enthusiasm. Imagine your reader not out in the audience but next to you.\n\nWillingness to write incomplete sentences for the What you’ll need bullets. They don’t begin with the words “You’ll need.”\n\nNot required are native English skills. Others can help.","type":"content","url":"/tutorial-style-guide#what-youll-need","position":7},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"After a horizontal rule, start your own headings"},"type":"lvl2","url":"/tutorial-style-guide#after-a-horizontal-rule-start-your-own-headings","position":8},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"After a horizontal rule, start your own headings"},"content":"Your tutorial steps begin here, using headings of your choice. At the end of the tutorial you’ll place another horizontal rule and return to standard headings.","type":"content","url":"/tutorial-style-guide#after-a-horizontal-rule-start-your-own-headings","position":9},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Titles have verbs"},"type":"lvl2","url":"/tutorial-style-guide#titles-have-verbs","position":10},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Titles have verbs"},"content":"In general, include a verb in the title; thus Learn to write a NumPy tutorial rather than “Rules for NumPy tutorials.” Consider putting verbs in the headings as well.","type":"content","url":"/tutorial-style-guide#titles-have-verbs","position":11},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Titles are lowercase"},"type":"lvl2","url":"/tutorial-style-guide#titles-are-lowercase","position":12},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Titles are lowercase"},"content":"Capitalize the first word, and after that only words that are ordinarily capitalized (so not “Titles Are Lowercase”).","type":"content","url":"/tutorial-style-guide#titles-are-lowercase","position":13},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"What to say in “What you’ll learn”"},"type":"lvl2","url":"/tutorial-style-guide#what-to-say-in-what-youll-learn","position":14},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"What to say in “What you’ll learn”"},"content":"Avoid abstraction. “About” is a tipoff: Rather than writing “You’ll learn about NumPy I/O,” write “You’ll learn how to read a comma-delimited text file into a NumPy array.”","type":"content","url":"/tutorial-style-guide#what-to-say-in-what-youll-learn","position":15},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Why are “What you’ll do” and “What you’ll learn” different?"},"type":"lvl2","url":"/tutorial-style-guide#why-are-what-youll-do-and-what-youll-learn-different","position":16},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Why are “What you’ll do” and “What you’ll learn” different?"},"content":"What you’ll do is typically one sentence listing an end product: “You’ll bake a cake.” This makes the endpoint clear. What you’ll learn lists the payoffs, and there may be many: “You’ll learn to follow a recipe. You’ll get practice measuring ingredients. You’ll learn how to tell when a cake is ready to come out of the oven.”","type":"content","url":"/tutorial-style-guide#why-are-what-youll-do-and-what-youll-learn-different","position":17},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Avoid asides"},"type":"lvl2","url":"/tutorial-style-guide#avoid-asides","position":18},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Avoid asides"},"content":"As explained by expert documentation writer \n\nDaniele Procida:\n\nDon’t explain anything the learner doesn’t need to know in order to complete the tutorial.\n\nBecause tutorial steps are chosen to be clear and easy, they may fall short of\nproduction-grade. Yes, you should share this, but not during the tutorial, which should be straightforward and assured. The In practice section is the place for details, exceptions, alternatives, and similar fine print.","type":"content","url":"/tutorial-style-guide#avoid-asides","position":19},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Use plots and illustrations"},"type":"lvl2","url":"/tutorial-style-guide#use-plots-and-illustrations","position":20},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Use plots and illustrations"},"content":"Figures are a double win; they amplify your points and make the page inviting. Like English skills, artistic skills (or graphic-toolset skills) aren’t required. Even if you only scan a hand illustration, somebody can polish it.\n\nAn illustration below the title, even if it’s only decorative, makes your page distinctive.","type":"content","url":"/tutorial-style-guide#use-plots-and-illustrations","position":21},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Use real datasets when possible"},"type":"lvl2","url":"/tutorial-style-guide#use-real-datasets-when-possible","position":22},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Use real datasets when possible"},"content":"Readers are likelier to be engaged by a real use case. Be sure you have rights to the data.","type":"content","url":"/tutorial-style-guide#use-real-datasets-when-possible","position":23},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Tutorials and how-to’s -- similar but different"},"type":"lvl2","url":"/tutorial-style-guide#tutorials-and-how-tos-similar-but-different","position":24},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Tutorials and how-to’s -- similar but different"},"content":"Tutorial readers are out-of-towners who want a feel for the place. Pick any single destination and explain sights along the way.\n\nUnlike how-to readers, who know what they need, tutorial readers don’t know what it is they don’t know. So while tutorials need headings like What you’ll do and What you’ll learn, these headings would never appear in a how-to.","type":"content","url":"/tutorial-style-guide#tutorials-and-how-tos-similar-but-different","position":25},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Make use of the Google doc style guide"},"type":"lvl2","url":"/tutorial-style-guide#make-use-of-the-google-doc-style-guide","position":26},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Make use of the Google doc style guide"},"content":"NumPy docs follow the \n\nGoogle developer documentation style guide. In addition to providing answers to recurring questions (“crossreference” or “cross-reference”?) the guide is filled with suggestions that will strengthen your doc writing.","type":"content","url":"/tutorial-style-guide#make-use-of-the-google-doc-style-guide","position":27},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"The notebook must be fully executable"},"type":"lvl2","url":"/tutorial-style-guide#the-notebook-must-be-fully-executable","position":28},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"The notebook must be fully executable"},"content":"Run all cells should execute all cells to the bottom of the file. If you’re demonstrating a bad expression and want to show the traceback, comment\nthe expression and put the traceback in a text cell.\n\n(Note that triple backquotes won’t be enough for a traceback that contains ,\nthe angle brackets must be replaced by < and > as shown in the text cell markdown below.)\n\n# 100/0\n\n\n\n--------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) in ----> 1 100/0\n\nZeroDivisionError: division by zero\n\n","type":"content","url":"/tutorial-style-guide#the-notebook-must-be-fully-executable","position":29},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"On your own"},"type":"lvl2","url":"/tutorial-style-guide#on-your-own","position":30},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"On your own"},"content":"Close the tutorial section with a horizontal rule. You’re free to take any direction now, but here are three suggested sections.\n\nIn an optional On your own section, you can offer an assignment for readers to exercise their new skills. If it’s a question with an answer, provide it -- perhaps in a footnote to keep it from being a spoiler.","type":"content","url":"/tutorial-style-guide#on-your-own","position":31},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"In practice..."},"type":"lvl2","url":"/tutorial-style-guide#in-practice","position":32},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"In practice..."},"content":"The fine print that you avoided can go in this section.\n\nDon’t just say it’s usually done another way; explain why.","type":"content","url":"/tutorial-style-guide#in-practice","position":33},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Further reading"},"type":"lvl2","url":"/tutorial-style-guide#further-reading","position":34},{"hierarchy":{"lvl1":"Learn to write a NumPy tutorial","lvl2":"Further reading"},"content":"Ideally, rather than giving bare links, Further reading describes the references: \n\nThe Documentation System is the inspiration for this tutorial, and describes three other kinds of documentation.\n\nThe Google guide is long; there’s also \n\na summary.\n\nNumPy’s website includes a \n\ndocumentation how-to.","type":"content","url":"/tutorial-style-guide#further-reading","position":35},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays"},"type":"lvl1","url":"/tutorial-svd","position":0},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays"},"content":"","type":"content","url":"/tutorial-svd","position":1},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Prerequisites"},"type":"lvl2","url":"/tutorial-svd#prerequisites","position":2},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Prerequisites"},"content":"Before reading this tutorial, you should know a bit of Python. If you would like to refresh your memory, take a look at the \n\nPython tutorial.\n\nIf you want to be able to run the examples in this tutorial, you should also have \n\nmatplotlib and \n\nSciPy installed on your computer.","type":"content","url":"/tutorial-svd#prerequisites","position":3},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Learner profile"},"type":"lvl2","url":"/tutorial-svd#learner-profile","position":4},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Learner profile"},"content":"This tutorial is for people who have a basic understanding of linear algebra and arrays in NumPy and want to understand how n-dimensional (n>=2) arrays are represented and can be manipulated. In particular, if you don’t know how to apply common functions to n-dimensional arrays (without using for-loops), or if you want to understand axis and shape properties for n-dimensional arrays, this tutorial might be of help.","type":"content","url":"/tutorial-svd#learner-profile","position":5},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Learning Objectives"},"type":"lvl2","url":"/tutorial-svd#learning-objectives","position":6},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Learning Objectives"},"content":"After this tutorial, you should be able to:\n\nUnderstand the difference between one-, two- and n-dimensional arrays in NumPy;\n\nUnderstand how to apply some linear algebra operations to n-dimensional arrays without using for-loops;\n\nUnderstand axis and shape properties for n-dimensional arrays.","type":"content","url":"/tutorial-svd#learning-objectives","position":7},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Content"},"type":"lvl2","url":"/tutorial-svd#content","position":8},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Content"},"content":"In this tutorial, we will use a \n\nmatrix decomposition from linear algebra, the Singular Value Decomposition, to generate a compressed approximation of an image. We’ll use the face image from the \n\nscipy.datasets module:\n\nfrom scipy.datasets import face\n\nimg = face()\n\n\n\nNote\n\nIf you prefer, you can use your own image as you work through this tutorial.\nIn order to transform your image into a NumPy array that can be manipulated, you\ncan use the imread function from the\n\n\nmatplotlib.pyplot submodule.\nAlternatively, you can use the\n\n\nimageio.imread\nfunction from the imageio library.\nBe aware that if you use your own image, you’ll likely need to adapt the steps below.\nFor more information on how images are treated when converted to NumPy arrays,\nsee \n\nA crash course on NumPy for images from the scikit-image documentation.\n\nNow, img is a NumPy array, as we can see when using the type function:\n\ntype(img)\n\n\n\nWe can see the image using the \n\nmatplotlib​.pyplot​.imshow function & the special iPython command, %matplotlib inline to display plots inline:\n\nimport matplotlib.pyplot as plt\n\n%matplotlib inline\n\n\n\n\n\nfig, ax = plt.subplots()\nax.imshow(img)\n\n\n\n","type":"content","url":"/tutorial-svd#content","position":9},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Shape, axis and array properties","lvl2":"Content"},"type":"lvl3","url":"/tutorial-svd#shape-axis-and-array-properties","position":10},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Shape, axis and array properties","lvl2":"Content"},"content":"Note that, in linear algebra, the dimension of a vector refers to the number of entries in an array. In NumPy, it instead defines the number of axes. For example, a 1D array is a vector such as [1, 2, 3], a 2D array is a matrix, and so forth.\n\nFirst, let’s check for the shape of the data in our array. Since this image is two-dimensional (the pixels in the image form a rectangle), we might expect a two-dimensional array to represent it (a matrix). However, using the shape property of this NumPy array gives us a different result:\n\nimg.shape\n\n\n\nThe output is a \n\ntuple with three elements, which means that this is a three-dimensional array. Since this is a color image, and we have used the imread function to read it, the data is organized as a 768×1024 grid of pixels, where each pixel contains 3 values representing color channels (red, green and blue - RGB). You can see this by looking at the shape, where the leftmost number corresponds to the outermost axis (image height), the middle number to the next axis (image width) and the rightmost number to the innermost axis (the color channels).\n\nFurthermore, using the ndim property of this array, we can see that\n\nimg.ndim\n\n\n\nNumPy refers to each dimension as an axis. Because of how imread works, the first index in the 3rd axis is the red pixel data for our image. We can access this by using the syntax\n\nimg[:, :, 0]\n\n\n\nFrom the output above, we can see that every value in img[:, :, 0] is an integer value between 0 and 255, representing the level of red in each corresponding image pixel (keep in mind that this might be different if you\nuse your own image instead of \n\nscipy.datasets.face).\n\nAs expected, this is a 768x1024 matrix:\n\nimg[:, :, 0].shape\n\n\n\nSince we are going to perform linear algebra operations on this data, it might be more interesting to have real numbers between 0 and 1 in each entry of the matrices to represent the RGB values. We can do that by setting\n\nimg_array = img / 255\n\n\n\nThis operation, dividing an array by a scalar, works because of NumPy’s \n\nbroadcasting rules.\n\nTip\n\nIn real-world applications, it may be better to use, for example, the\n\n\nimg_as_float\nutility function from scikit-image.\n\nYou can check that the above works by doing some tests; for example, inquiring\nabout maximum and minimum values for this array:\n\nimg_array.min(), img_array.max()\n\n\n\nor checking the type of data in the array:\n\nimg_array.dtype\n\n\n\nNote that we can assign each color channel to a separate matrix using the slice syntax:\n\nred_array = img_array[:, :, 0]\ngreen_array = img_array[:, :, 1]\nblue_array = img_array[:, :, 2]\n\n\n\n","type":"content","url":"/tutorial-svd#shape-axis-and-array-properties","position":11},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Operations on an axis","lvl2":"Content"},"type":"lvl3","url":"/tutorial-svd#operations-on-an-axis","position":12},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Operations on an axis","lvl2":"Content"},"content":"It is possible to use methods from linear algebra to approximate an existing set of data. Here, we will use the \n\nSVD (Singular Value Decomposition) to try to rebuild an image that uses less singular value information than the original one, while still retaining some of its features.\n\nNote\n\nWe will use NumPy’s linear algebra module,\n\n\nnumpy.linalg,\nto perform the operations in this tutorial.\nMost of the linear algebra functions in this module can also be found in\n\n\nscipy.linalg,\nand users are encouraged to use the \n\nscipy\nmodule for real-world applications.\nHowever, some functions in the\n\n\nscipy.linalg\nmodule, such as the SVD function, only support 2D arrays.\nFor more information on this, check the \n\nscipy.linalg page.\n\nIn order to extract information from a given matrix, we can use the SVD to obtain 3 arrays which can be multiplied to obtain the original matrix. From the theory of linear algebra, given a matrix A, the following product can be computed:U \\Sigma V^T = A\n\nwhere U and V^T are square and \\Sigma is the same size as A. \\Sigma is a diagonal matrix and contains the \n\nsingular values of A, organized from largest to smallest. These values are always non-negative and can be used as an indicator of the “importance” of some features represented by the matrix A.\n\nLet’s see how this works in practice with just one matrix first. Note that according to \n\ncolorimetry,\nit is possible to obtain a fairly reasonable grayscale version of our color image if we apply the formulaY = 0.2126 R + 0.7152 G + 0.0722 B\n\nwhere Y is the array representing the grayscale image, and R, G and B are the red, green and blue channel arrays we had originally. Notice we can use the @ operator (the matrix multiplication operator for NumPy arrays, see \n\nnumpy.matmul) for this:\n\nimg_gray = img_array @ [0.2126, 0.7152, 0.0722]\n\n\n\nNow, img_gray has shape\n\nimg_gray.shape\n\n\n\nTo see if this makes sense in our image, we should use a colormap from matplotlib corresponding to the color we wish to see in out image (otherwise, matplotlib will default to a colormap that does not correspond to the real data).\n\nIn our case, we are approximating the grayscale portion of the image, so we will use the colormap gray:\n\nfig, ax = plt.subplots()\nax.imshow(img_gray, cmap=\"gray\")\n\n\n\nNow, applying the \n\nlinalg.svd function to this matrix, we obtain the following decomposition:\n\nimport numpy as np\nU, s, Vt = np.linalg.svd(img_gray)\n\n\n\nNote\n\nIf you are using your own image, this command might take a while to run,\ndepending on the size of your image and your hardware.\nDon’t worry, this is normal! The SVD can be a pretty intensive computation.\n\nLet’s check that this is what we expected:\n\nU.shape, s.shape, Vt.shape\n\n\n\nNote that s has a particular shape: it has only one dimension. This means that some linear algebra functions that expect 2d arrays might not work. For example, from the theory, one might expect s and Vt to be\ncompatible for multiplication. However, this is not true as s does not have a second axis:\n\ns @ Vt\n\n\n\nresults in a ValueError. This happens because having a one-dimensional array for s, in this case, is much more economic in practice than building a diagonal matrix with the same data. To reconstruct the original matrix, we can rebuild the diagonal matrix \\Sigma with the elements of s in its diagonal and with the appropriate dimensions for multiplying: in our case, \\Sigma should be 768x1024 since U is 768x768 and Vt is 1024x1024. In order to add the singular values to the diagonal of Sigma, we will use the \n\nfill_diagonal function from NumPy:\n\nSigma = np.zeros((U.shape[1], Vt.shape[0]))\nnp.fill_diagonal(Sigma, s)\n\n\n\nNow, we want to check if the reconstructed U @ Sigma @ Vt is close to the original img_gray matrix.\n\n","type":"content","url":"/tutorial-svd#operations-on-an-axis","position":13},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Approximation"},"type":"lvl2","url":"/tutorial-svd#approximation","position":14},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Approximation"},"content":"The \n\nlinalg module includes a norm function, which computes the norm of a vector or matrix represented in a NumPy array. For example, from the SVD explanation above, we would expect the norm of the difference between img_gray and the reconstructed SVD product to be small. As expected, you should see something like\n\nnp.linalg.norm(img_gray - U @ Sigma @ Vt)\n\n\n\n(The actual result of this operation might be different depending on your architecture and linear algebra setup. Regardless, you should see a small number.)\n\nWe could also have used the \n\nnumpy.allclose function to make sure the reconstructed product is, in fact, close to our original matrix (the difference between the two arrays is small):\n\nnp.allclose(img_gray, U @ Sigma @ Vt)\n\n\n\nTo see if an approximation is reasonable, we can check the values in s:\n\nfig, ax = plt.subplots()\nax.plot(s)\n\n\n\nIn the graph, we can see that although we have 768 singular values in s, most of those (after the 150th entry or so) are pretty small. So it might make sense to use only the information related to the first (say, 50) singular values to build a more economical approximation to our image.\n\nThe idea is to consider all but the first k singular values in Sigma (which are the same as in s) as zeros, keeping U and Vt intact, and computing the product of these matrices as the approximation.\n\nFor example, if we choose\n\nk = 10\n\n\n\nwe can build the approximation by doing\n\napprox = U @ Sigma[:, :k] @ Vt[:k, :]\n\n\n\nNote that we had to use only the first k rows of Vt, since all other rows would be multiplied by the zeros corresponding to the singular values we eliminated from this approximation.\n\nfig, ax = plt.subplots()\nax.imshow(approx, cmap=\"gray\")\n\n\n\nNow, you can go ahead and repeat this experiment with other values of k, and each of your experiments should give you a slightly better (or worse) image depending on the value you choose.\n\n","type":"content","url":"/tutorial-svd#approximation","position":15},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Applying to all colors","lvl2":"Approximation"},"type":"lvl3","url":"/tutorial-svd#applying-to-all-colors","position":16},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Applying to all colors","lvl2":"Approximation"},"content":"Now we want to do the same kind of operation, but to all three colors. Our first instinct might be to repeat the same operation we did above to each color matrix individually. However, NumPy’s broadcasting takes care of this\nfor us.\n\nIf our array has more than two dimensions, then the SVD can be applied to all axes at once. However, the linear algebra functions in NumPy expect to see an array of the form (n, M, N), where the first axis n represents the number of MxN matrices in the stack.\n\nIn our case,\n\nimg_array.shape\n\n\n\nso we need to permutate the axis on this array to get a shape like (3, 768, 1024). Fortunately, the \n\nnumpy.transpose function can do that for us:\n\n# The values in the tuple indicate the original dim, and the order the new axis\n# so axis 2 -> 0, 0 -> 1, and 1 -> 2\nimg_array_transposed = np.transpose(img_array, (2, 0, 1))\nimg_array_transposed.shape\n\n\n\nNow we are ready to apply the SVD:\n\nU, s, Vt = np.linalg.svd(img_array_transposed)\n\n\n\nFinally, to obtain the full approximated image, we need to reassemble these matrices into the approximation. Now, note that\n\nU.shape, s.shape, Vt.shape\n\n\n\nTo build the final approximation matrix, we must understand how multiplication across different axes works.\n\n","type":"content","url":"/tutorial-svd#applying-to-all-colors","position":17},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Products with n-dimensional arrays","lvl2":"Approximation"},"type":"lvl3","url":"/tutorial-svd#products-with-n-dimensional-arrays","position":18},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Products with n-dimensional arrays","lvl2":"Approximation"},"content":"If you have worked before with only one- or two-dimensional arrays in NumPy, you might use \n\nnumpy.dot and \n\nnumpy.matmul (or the @ operator) interchangeably. However, for n-dimensional arrays, they work in very different ways. For more details, check the documentation on \n\nnumpy.matmul.\n\nNow, to build our approximation, we first need to make sure that our singular values are ready for multiplication, so we build our Sigma matrix similarly to what we did before. The Sigma array must have dimensions (3, 768, 1024). In order to add the singular values to the diagonal of Sigma, we will again use the \n\nfill_diagonal function, using each of the 3 rows in s as the diagonal for each of the 3 matrices in Sigma:\n\nSigma = np.zeros((3, 768, 1024))\nfor j in range(3):\n np.fill_diagonal(Sigma[j, :, :], s[j, :])\n\n\n\nNow, if we wish to rebuild the full SVD (with no approximation), we can do\n\nreconstructed = U @ Sigma @ Vt\n\n\n\nNote that\n\nreconstructed.shape\n\n\n\nThe reconstructed image should be indistinguishable from the original one, except for differences due to floating point errors from the reconstruction. Recall that our original image consisted of floating point values in the range [0., 1.]. The accumulation of floating point error from the reconstruction can result in values slightly outside this original range:\n\nreconstructed.min(), reconstructed.max()\n\n\n\nSince imshow expects values in the range, we can use clip to excise the floating point error:\n\nreconstructed = np.clip(reconstructed, 0, 1)\n\nfig, ax = plt.subplots()\nax.imshow(np.transpose(reconstructed, (1, 2, 0)))\n\n\n\nNote\n\nIn fact, imshow peforms this clipping under-the-hood, so if you skip the first\nline in the previous code cell, you might see a warning message saying\n\"Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\"\n\nNow, to do the approximation, we must choose only the first k singular values for each color channel. This can be done using the following syntax:\n\napprox_img = U @ Sigma[..., :k] @ Vt[..., :k, :]\n\n\n\nYou can see that we have selected only the first k components of the last axis for Sigma (this means that we have used only the first k columns of each of the three matrices in the stack), and that we have selected only the first k components in the second-to-last axis of Vt (this means we have selected only the first k rows from every matrix in the stack Vt and all columns). If you are unfamiliar with the ellipsis syntax, it is a\nplaceholder for other axes. For more details, see the documentation on \n\nIndexing.\n\nNow,\n\napprox_img.shape\n\n\n\nwhich is not the right shape for showing the image. Finally, reordering the axes back to our original shape of (768, 1024, 3), we can see our approximation:\n\nfig, ax = plt.subplots()\nax.imshow(np.transpose(np.clip(approx_img, 0, 1), (1, 2, 0)))\n\n\n\nEven though the image is not as sharp, using a small number of k singular values (compared to the original set of 768 values), we can recover many of the distinguishing features from this image.\n\n","type":"content","url":"/tutorial-svd#products-with-n-dimensional-arrays","position":19},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Final words","lvl2":"Approximation"},"type":"lvl3","url":"/tutorial-svd#final-words","position":20},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl3":"Final words","lvl2":"Approximation"},"content":"Of course, this is not the best method to approximate an image. However, there is, in fact, a result in linear algebra that says that the approximation we built above is the best we can get to the original matrix in\nterms of the norm of the difference. For more information, see G. H. Golub and C. F. Van Loan, Matrix Computations, Baltimore, MD, Johns Hopkins University Press, 1985.","type":"content","url":"/tutorial-svd#final-words","position":21},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Further reading"},"type":"lvl2","url":"/tutorial-svd#further-reading","position":22},{"hierarchy":{"lvl1":"Linear algebra on n-dimensional arrays","lvl2":"Further reading"},"content":"Python tutorial\n\nNumPy Reference\n\nSciPy Tutorial\n\nSciPy Lecture Notes\n\nA matlab, R, IDL, NumPy/SciPy dictionary","type":"content","url":"/tutorial-svd#further-reading","position":23},{"hierarchy":{"lvl1":"X-ray image processing"},"type":"lvl1","url":"/tutorial-x-ray-image-processing","position":0},{"hierarchy":{"lvl1":"X-ray image processing"},"content":"This tutorial demonstrates how to read and process X-ray images with NumPy,\nimageio, Matplotlib and SciPy. You will learn how to load medical images, focus\non certain parts, and visually compare them using the\n\n\nGaussian,\n\n\nLaplacian-Gaussian,\n\n\nSobel, and\n\n\nCanny filters for edge\ndetection.\n\nX-ray image analysis can be part of your data analysis and machine learning workflow\nwhen, for example, you’re building an algorithm that helps\n\n\ndetect pneumonia\nas part of a \n\nKaggle\n\n\ncompetition.\nIn the healthcare industry, medical image processing and analysis is\nparticularly important when images are estimated to account for\n\n\nat least 90% of all\nmedical data.\n\nYou’ll be working with radiology images from the\n\n\nChestX-ray8\ndataset provided by the \n\nNational Institutes of Health (NIH).\nChestX-ray8 contains over 100,000 de-identified X-ray images in the PNG format\nfrom more than 30,000 patients. You can find ChestX-ray8’s files on NIH’s public\nBox \n\nrepository in the /images\nfolder. (For more details, refer to the research\n\n\npaper\npublished at CVPR (a computer vision conference) in 2017.)\n\nFor your convenience, a small number of PNG images have been saved to this\ntutorial’s repository under tutorial-x-ray-image-processing/, since\nChestX-ray8 contains gigabytes of data and you may find it challenging to\ndownload it in batches.\n\n","type":"content","url":"/tutorial-x-ray-image-processing","position":1},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Prerequisites"},"type":"lvl2","url":"/tutorial-x-ray-image-processing#prerequisites","position":2},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Prerequisites"},"content":"\n\nThe reader should have some knowledge of Python, NumPy arrays, and Matplotlib.\nTo refresh the memory, you can take the\n\n\nPython and Matplotlib\n\n\nPyPlot tutorials,\nand the NumPy \n\nquickstart.\n\nThe following packages are used in this tutorial:\n\nimageio for reading and writing image data. The\nhealthcare industry usually works with the\n\n\nDICOM format for medical imaging and\n\n\nimageio should be\nwell-suited for reading that format. For simplicity, in this tutorial you’ll be\nworking with PNG files.\n\nMatplotlib for data visualization.\n\nSciPy for multi-dimensional image processing via\n\n\nndimage.\n\nThis tutorial can be run locally in an isolated environment, such as\n\n\nVirtualenv or\n\n\nconda.\nYou can use \n\nJupyter Notebook or JupyterLab to run\neach notebook cell.\n\n","type":"content","url":"/tutorial-x-ray-image-processing#prerequisites","position":3},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Table of contents"},"type":"lvl2","url":"/tutorial-x-ray-image-processing#table-of-contents","position":4},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Table of contents"},"content":"\n\nExamine an X-ray with imageio\n\nCombine images into a multi-dimensional array to demonstrate progression\n\nEdge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and\nCanny filters\n\nApply masks to X-rays with np.where()\n\nCompare the results\n\n","type":"content","url":"/tutorial-x-ray-image-processing#table-of-contents","position":5},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Examine an X-ray with imageio"},"type":"lvl2","url":"/tutorial-x-ray-image-processing#examine-an-x-ray-with-imageio","position":6},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Examine an X-ray with imageio"},"content":"\n\nLet’s begin with a simple example using just one X-ray image from the\nChestX-ray8 dataset.\n\nThe file — 00000011_001.png — has been downloaded for you and saved in the\n/tutorial-x-ray-image-processing folder.\n\n1. Load the image with imageio:\n\nimport os\nimport imageio\n\nDIR = \"tutorial-x-ray-image-processing\"\n\nxray_image = imageio.v3.imread(os.path.join(DIR, \"00000011_001.png\"))\n\n\n\n2. Check that its shape is 1024x1024 pixels and that the array is made up of\n8-bit integers:\n\nprint(xray_image.shape)\nprint(xray_image.dtype)\n\n\n\n3. Import matplotlib and display the image in a grayscale colormap:\n\nimport matplotlib.pyplot as plt\n\nfig, ax = plt.subplots()\nax.imshow(xray_image, cmap=\"gray\")\nax.set_axis_off()\n\n\n\n","type":"content","url":"/tutorial-x-ray-image-processing#examine-an-x-ray-with-imageio","position":7},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Combine images into a multidimensional array to demonstrate progression"},"type":"lvl2","url":"/tutorial-x-ray-image-processing#combine-images-into-a-multidimensional-array-to-demonstrate-progression","position":8},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Combine images into a multidimensional array to demonstrate progression"},"content":"\n\nIn the next example, instead of 1 image you’ll use 9 X-ray 1024x1024-pixel\nimages from the ChestX-ray8 dataset that have been downloaded and extracted\nfrom one of the dataset files. They are numbered from ...000.png to\n...008.png and let’s assume they belong to the same patient.\n\n1. Import NumPy, read in each of the X-rays, and create a three-dimensional\narray where the first dimension corresponds to image number:\n\nimport numpy as np\nnum_imgs = 9\n\ncombined_xray_images_1 = np.array(\n [imageio.v3.imread(os.path.join(DIR, f\"00000011_00{i}.png\")) for i in range(num_imgs)]\n)\n\n\n\n2. Check the shape of the new X-ray image array containing 9 stacked images:\n\ncombined_xray_images_1.shape\n\n\n\nNote that the shape in the first dimension matches num_imgs, so the\ncombined_xray_images_1 array can be interpreted as a stack of 2D images.\n\n3. You can now display the “health progress” by plotting each of frames next\nto each other using Matplotlib:\n\nfig, axes = plt.subplots(nrows=1, ncols=num_imgs, figsize=(30, 30))\n\nfor img, ax in zip(combined_xray_images_1, axes):\n ax.imshow(img, cmap='gray')\n ax.axis('off')\n\n\n\n4. In addition, it can be helpful to show the progress as an animation.\nLet’s create a GIF file with imageio.mimwrite() and display the result in the\nnotebook:\n\nGIF_PATH = os.path.join(DIR, \"xray_image.gif\")\nimageio.mimwrite(GIF_PATH, combined_xray_images_1, format= \".gif\", duration=1000)\n\n\n\nWhich gives us:\n","type":"content","url":"/tutorial-x-ray-image-processing#combine-images-into-a-multidimensional-array-to-demonstrate-progression","position":9},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"type":"lvl2","url":"/tutorial-x-ray-image-processing#edge-detection-using-the-laplacian-gaussian-gaussian-gradient-sobel-and-canny-filters","position":10},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"content":"\n\nWhen processing biomedical data, it can be useful to emphasize the 2D\n\n\n“edges” to focus on particular\nfeatures in an image. To do that, using\n\n\nimage gradients can be\nparticularly helpful when detecting the change of color pixel intensity.\n\n","type":"content","url":"/tutorial-x-ray-image-processing#edge-detection-using-the-laplacian-gaussian-gaussian-gradient-sobel-and-canny-filters","position":11},{"hierarchy":{"lvl1":"X-ray image processing","lvl3":"The Laplace filter with Gaussian second derivatives","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"type":"lvl3","url":"/tutorial-x-ray-image-processing#the-laplace-filter-with-gaussian-second-derivatives","position":12},{"hierarchy":{"lvl1":"X-ray image processing","lvl3":"The Laplace filter with Gaussian second derivatives","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"content":"Let’s start with an n-dimensional\n\n\nLaplace filter\n(“Laplacian-Gaussian”) that uses\n\n\nGaussian second\nderivatives. This Laplacian method focuses on pixels with rapid intensity change\nin values and is combined with Gaussian smoothing to\n\n\nremove noise. Let’s examine\nhow it can be useful in analyzing 2D X-ray images.\n\nThe implementation of the Laplacian-Gaussian filter is relatively\nstraightforward: 1) import the ndimage module from SciPy; and 2) call\n\n\nscipy.ndimage.gaussian_laplace()\nwith a sigma (scalar) parameter, which affects the standard deviations of the\nGaussian filter (you’ll use 1 in the example below):\n\nfrom scipy import ndimage\n\nxray_image_laplace_gaussian = ndimage.gaussian_laplace(xray_image, sigma=1)\n\n\n\nDisplay the original X-ray and the one with the Laplacian-Gaussian filter:\n\nfig, axes = plt.subplots(nrows=1, ncols=2, figsize=(10, 10))\n\naxes[0].set_title(\"Original\")\naxes[0].imshow(xray_image, cmap=\"gray\")\naxes[1].set_title(\"Laplacian-Gaussian (edges)\")\naxes[1].imshow(xray_image_laplace_gaussian, cmap=\"gray\")\nfor i in axes:\n i.axis(\"off\")\n\n\n\n","type":"content","url":"/tutorial-x-ray-image-processing#the-laplace-filter-with-gaussian-second-derivatives","position":13},{"hierarchy":{"lvl1":"X-ray image processing","lvl3":"The Gaussian gradient magnitude method","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"type":"lvl3","url":"/tutorial-x-ray-image-processing#the-gaussian-gradient-magnitude-method","position":14},{"hierarchy":{"lvl1":"X-ray image processing","lvl3":"The Gaussian gradient magnitude method","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"content":"Another method for edge detection that can be useful is the\n\n\nGaussian (gradient) filter.\nIt computes the multidimensional gradient magnitude with Gaussian derivatives\nand helps by remove\n\n\nhigh-frequency\nimage components.\n\n1. Call \n\nscipy.ndimage.gaussian_gradient_magnitude()\nwith a sigma (scalar) parameter (for standard deviations; you’ll use 2 in the\nexample below):\n\nx_ray_image_gaussian_gradient = ndimage.gaussian_gradient_magnitude(xray_image, sigma=2)\n\n\n\n2. Display the original X-ray and the one with the Gaussian gradient filter:\n\nfig, axes = plt.subplots(nrows=1, ncols=2, figsize=(10, 10))\n\naxes[0].set_title(\"Original\")\naxes[0].imshow(xray_image, cmap=\"gray\")\naxes[1].set_title(\"Gaussian gradient (edges)\")\naxes[1].imshow(x_ray_image_gaussian_gradient, cmap=\"gray\")\nfor i in axes:\n i.axis(\"off\")\n\n\n\n","type":"content","url":"/tutorial-x-ray-image-processing#the-gaussian-gradient-magnitude-method","position":15},{"hierarchy":{"lvl1":"X-ray image processing","lvl3":"The Sobel-Feldman operator (the Sobel filter)","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"type":"lvl3","url":"/tutorial-x-ray-image-processing#the-sobel-feldman-operator-the-sobel-filter","position":16},{"hierarchy":{"lvl1":"X-ray image processing","lvl3":"The Sobel-Feldman operator (the Sobel filter)","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"content":"To find regions of high spatial frequency (the edges or the edge maps) along the\nhorizontal and vertical axes of a 2D X-ray image, you can use the\n\n\nSobel-Feldman operator (Sobel filter)\ntechnique. The Sobel filter applies two 3x3 kernel matrices — one for each axis\n— onto the X-ray through a \n\nconvolution.\nThen, these two points (gradients) are combined using the\n\n\nPythagorean theorem to\nproduce a gradient magnitude.\n\n1. Use the Sobel filters — (\n\nscipy.ndimage.sobel())\n— on x- and y-axes of the X-ray. Then, calculate the distance between x and\ny (with the Sobel filters applied to them) using the\n\n\nPythagorean theorem and\nNumPy’s \n\nnp.hypot()\nto obtain the magnitude. Finally, normalize the rescaled image for the pixel\nvalues to be between 0 and 255.\n\nImage normalization\nfollows the output_channel = 255.0 * (input_channel - min_value) / (max_value - min_value)\n\n\nformula. Because you’re\nusing a grayscale image, you need to normalize just one channel.\n\nx_sobel = ndimage.sobel(xray_image, axis=0)\ny_sobel = ndimage.sobel(xray_image, axis=1)\n\nxray_image_sobel = np.hypot(x_sobel, y_sobel)\n\nxray_image_sobel *= 255.0 / np.max(xray_image_sobel)\n\n\n\n2. Change the new image array data type to the 32-bit floating-point format\nfrom float16 to \n\nmake it compatible\nwith Matplotlib:\n\nprint(\"The data type - before: \", xray_image_sobel.dtype)\n\nxray_image_sobel = xray_image_sobel.astype(\"float32\")\n\nprint(\"The data type - after: \", xray_image_sobel.dtype)\n\n\n\n3. Display the original X-ray and the one with the Sobel “edge” filter\napplied. Note that both the grayscale and CMRmap colormaps are used to help\nemphasize the edges:\n\nfig, axes = plt.subplots(nrows=1, ncols=3, figsize=(15, 15))\n\naxes[0].set_title(\"Original\")\naxes[0].imshow(xray_image, cmap=\"gray\")\naxes[1].set_title(\"Sobel (edges) - grayscale\")\naxes[1].imshow(xray_image_sobel, cmap=\"gray\")\naxes[2].set_title(\"Sobel (edges) - CMRmap\")\naxes[2].imshow(xray_image_sobel, cmap=\"CMRmap\")\nfor i in axes:\n i.axis(\"off\")\n\n\n\n","type":"content","url":"/tutorial-x-ray-image-processing#the-sobel-feldman-operator-the-sobel-filter","position":17},{"hierarchy":{"lvl1":"X-ray image processing","lvl3":"The Canny filter","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"type":"lvl3","url":"/tutorial-x-ray-image-processing#the-canny-filter","position":18},{"hierarchy":{"lvl1":"X-ray image processing","lvl3":"The Canny filter","lvl2":"Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters"},"content":"You can also consider using another well-known filter for edge detection called\nthe \n\nCanny filter.\n\nFirst, you apply a \n\nGaussian\nfilter to remove the noise in an image. In this example, you’re using using the\n\n\nFourier filter which\nsmoothens the X-ray through a \n\nconvolution\nprocess. Next, you apply the \n\nPrewitt filter\non each of the 2 axes of the image to help detect some of the edges — this will\nresult in 2 gradient values. Similar to the Sobel filter, the Prewitt operator\nalso applies two 3x3 kernel matrices — one for each axis — onto the X-ray\nthrough a \n\nconvolution.\nIn the end, you compute the magnitude between the two gradients using the\n\n\nPythagorean theorem and\n\n\nnormalize\nthe images, as before.\n\n1. Use SciPy’s Fourier filters — \n\nscipy.ndimage.fourier_gaussian()\n— with a small sigma value to remove some of the noise from the X-ray. Then,\ncalculate two gradients using \n\nscipy.ndimage.prewitt().\nNext, measure the distance between the gradients using NumPy’s np.hypot().\nFinally, \n\nnormalize\nthe rescaled image, as before.\n\nfourier_gaussian = ndimage.fourier_gaussian(xray_image, sigma=0.05)\n\nx_prewitt = ndimage.prewitt(fourier_gaussian, axis=0)\ny_prewitt = ndimage.prewitt(fourier_gaussian, axis=1)\n\nxray_image_canny = np.hypot(x_prewitt, y_prewitt)\n\nxray_image_canny *= 255.0 / np.max(xray_image_canny)\n\nprint(\"The data type - \", xray_image_canny.dtype)\n\n\n\n2. Plot the original X-ray image and the ones with the edges detected with\nthe help of the Canny filter technique. The edges can be emphasized using the\nprism, nipy_spectral, and terrain Matplotlib colormaps.\n\nfig, axes = plt.subplots(nrows=1, ncols=4, figsize=(20, 15))\n\naxes[0].set_title(\"Original\")\naxes[0].imshow(xray_image, cmap=\"gray\")\naxes[1].set_title(\"Canny (edges) - prism\")\naxes[1].imshow(xray_image_canny, cmap=\"prism\")\naxes[2].set_title(\"Canny (edges) - nipy_spectral\")\naxes[2].imshow(xray_image_canny, cmap=\"nipy_spectral\")\naxes[3].set_title(\"Canny (edges) - terrain\")\naxes[3].imshow(xray_image_canny, cmap=\"terrain\")\nfor i in axes:\n i.axis(\"off\")\n\n\n\n","type":"content","url":"/tutorial-x-ray-image-processing#the-canny-filter","position":19},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Apply masks to X-rays with np.where()"},"type":"lvl2","url":"/tutorial-x-ray-image-processing#apply-masks-to-x-rays-with-np-where","position":20},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Apply masks to X-rays with np.where()"},"content":"\n\nTo screen out only certain pixels in X-ray images to help detect particular\nfeatures, you can apply masks with NumPy’s\n\n\nnp.where(condition: array_like (bool), x: array_like, y: ndarray)\nthat returns x when True and y when False.\n\nIdentifying regions of interest — certain sets of pixels in an image — can be\nuseful and masks serve as boolean arrays of the same shape as the original\nimage.\n\n1. Retrieve some basics statistics about the pixel values in the original\nX-ray image you’ve been working with:\n\nprint(\"The data type of the X-ray image is: \", xray_image.dtype)\nprint(\"The minimum pixel value is: \", np.min(xray_image))\nprint(\"The maximum pixel value is: \", np.max(xray_image))\nprint(\"The average pixel value is: \", np.mean(xray_image))\nprint(\"The median pixel value is: \", np.median(xray_image))\n\n\n\n2. The array data type is uint8 and the minimum/maximum value results\nsuggest that all 256 colors (from 0 to 255) are used in the X-ray. Let’s\nvisualize the pixel intensity distribution of the original raw X-ray image\nwith ndimage.histogram() and Matplotlib:\n\npixel_intensity_distribution = ndimage.histogram(\n xray_image, min=np.min(xray_image), max=np.max(xray_image), bins=256\n)\n\nfig, ax = plt.subplots()\nax.plot(pixel_intensity_distribution)\nax.set_title(\"Pixel intensity distribution\")\n\n\n\nAs the pixel intensity distribution suggests, there are many low (between around\n0 and 20) and very high (between around 200 and 240) pixel values.\n\n3. You can create different conditional masks with NumPy’s np.where() —\nfor example, let’s have only those values of the image with the pixels exceeding\na certain threshold:\n\n# The threshold is \"greater than 150\"\n# Return the original image if true, `0` otherwise\nxray_image_mask_noisy = np.where(xray_image > 150, xray_image, 0)\n\nfig, ax = plt.subplots()\nax.imshow(xray_image_mask_noisy, cmap=\"gray\")\nax.set_axis_off()\n\n\n\n\n\n# The threshold is \"greater than 150\"\n# Return `1` if true, `0` otherwise\nxray_image_mask_less_noisy = np.where(xray_image > 150, 1, 0)\n\nfig, ax = plt.subplots()\nax.imshow(xray_image_mask_less_noisy, cmap=\"gray\")\nax.set_axis_off()\n\n\n\n","type":"content","url":"/tutorial-x-ray-image-processing#apply-masks-to-x-rays-with-np-where","position":21},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Compare the results"},"type":"lvl2","url":"/tutorial-x-ray-image-processing#compare-the-results","position":22},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Compare the results"},"content":"\n\nLet’s display some of the results of processed X-ray images you’ve worked with\nso far:\n\nfig, axes = plt.subplots(nrows=1, ncols=9, figsize=(30, 30))\n\naxes[0].set_title(\"Original\")\naxes[0].imshow(xray_image, cmap=\"gray\")\naxes[1].set_title(\"Laplace-Gaussian (edges)\")\naxes[1].imshow(xray_image_laplace_gaussian, cmap=\"gray\")\naxes[2].set_title(\"Gaussian gradient (edges)\")\naxes[2].imshow(x_ray_image_gaussian_gradient, cmap=\"gray\")\naxes[3].set_title(\"Sobel (edges) - grayscale\")\naxes[3].imshow(xray_image_sobel, cmap=\"gray\")\naxes[4].set_title(\"Sobel (edges) - hot\")\naxes[4].imshow(xray_image_sobel, cmap=\"hot\")\naxes[5].set_title(\"Canny (edges) - prism)\")\naxes[5].imshow(xray_image_canny, cmap=\"prism\")\naxes[6].set_title(\"Canny (edges) - nipy_spectral)\")\naxes[6].imshow(xray_image_canny, cmap=\"nipy_spectral\")\naxes[7].set_title(\"Mask (> 150, noisy)\")\naxes[7].imshow(xray_image_mask_noisy, cmap=\"gray\")\naxes[8].set_title(\"Mask (> 150, less noisy)\")\naxes[8].imshow(xray_image_mask_less_noisy, cmap=\"gray\")\nfor i in axes:\n i.axis(\"off\")\n\n\n\n","type":"content","url":"/tutorial-x-ray-image-processing#compare-the-results","position":23},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Next steps"},"type":"lvl2","url":"/tutorial-x-ray-image-processing#next-steps","position":24},{"hierarchy":{"lvl1":"X-ray image processing","lvl2":"Next steps"},"content":"\n\nIf you want to use your own samples, you can use\n\n\nthis image\nor search for various other ones on the \n\nOpeni\ndatabase. Openi contains many biomedical images and it can be especially helpful\nif you have low bandwidth and/or are restricted by the amount of data you can\ndownload.\n\nTo learn more about image processing in the context of biomedical image data or\nsimply edge detection, you may find the following material useful:\n\nImage manipulation and processing using Numpy and Scipy (Scipy Lecture Notes)\n\nIntensity values (presentation, DataCamp)\n\nObject detection with Raspberry Pi and Python (Maker Portal)\n\nX-ray data preparation and segmentation with deep learning (a Kaggle-hosted Jupyter notebook)\n\nImage filtering (lecture slides, CS6670: Computer Vision, Cornell University)\n\nEdge detection in Python\n\nEdge detection with Scikit-Image (Data Carpentry)\n\nImage gradients and gradient filtering (lecture slides, 16-385 Computer Vision, Carnegie Mellon University)","type":"content","url":"/tutorial-x-ray-image-processing#next-steps","position":25}]} \ No newline at end of file diff --git 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If you’re using\n","position":{"start":{"line":199,"column":1},"end":{"line":199,"column":1}},"key":"V9LLOzHZ6A"},{"type":"link","url":"https://numpy.org/doc/stable/reference/generated/numpy.loadtxt.html","position":{"start":{"line":199,"column":1},"end":{"line":199,"column":1}},"children":[{"type":"inlineCode","value":"loadtxt","position":{"start":{"line":199,"column":1},"end":{"line":199,"column":1}},"key":"hR9SWMgO2M"}],"urlSource":"https://numpy.org/doc/stable/reference/generated/numpy.loadtxt.html","key":"BbE6NI6axg"},{"type":"text","value":"\nwith other csv files, you can skip header rows with ","position":{"start":{"line":199,"column":1},"end":{"line":199,"column":1}},"key":"EB2k8FOyHN"},{"type":"inlineCode","value":"skiprows = ","position":{"start":{"line":199,"column":1},"end":{"line":199,"column":1}},"key":"js7JOTjvaV"},{"type":"text","value":".","position":{"start":{"line":199,"column":1},"end":{"line":199,"column":1}},"key":"cdX65VwNsr"}],"key":"pFxShLyL1s"}],"key":"TwttYy4eNO"},{"type":"listItem","spread":true,"position":{"start":{"line":203,"column":1},"end":{"line":209,"column":1}},"children":[{"type":"paragraph","children":[{"type":"text","value":"The integers were written in scientific notation. ","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"LpPjYY9YCx"},{"type":"emphasis","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"children":[{"type":"text","value":"You can","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"AXSqo4F9si"}],"key":"W1WuAnc8QS"},{"type":"text","value":" specify\nthe format of the text using the ","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"Fm8RFAZrEs"},{"type":"inlineCode","value":"savetxt","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"s1iFM8jdas"},{"type":"text","value":" option, ","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"Aeb0yTSnMu"},{"type":"link","url":"https://docs.python.org/3/library/string.html#formatstrings","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"children":[{"type":"inlineCode","value":"fmt = ","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"X9ePOt6A2G"}],"urlSource":"https://docs.python.org/3/library/string.html#formatstrings","key":"JZ90CvmZGC"},{"type":"text","value":", but it\nwill still be written with ASCII characters. In general, you cannot\npreserve the type of ASCII numbers as ","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"X53TzDKGfY"},{"type":"inlineCode","value":"float","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"q2gCSsWWD5"},{"type":"text","value":" or ","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"a4SsHcR9v9"},{"type":"inlineCode","value":"int","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"h45OwwPfKh"},{"type":"text","value":".","position":{"start":{"line":203,"column":1},"end":{"line":203,"column":1}},"key":"MGTRwaYikl"}],"key":"R9CYTUTZGJ"}],"key":"cjyy04ggPe"}],"key":"rbBix0uSN2"},{"type":"paragraph","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"children":[{"type":"text","value":"Now, delete ","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"SmstrIKJEv"},{"type":"inlineCode","value":"x","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"lKNOLLQTGs"},{"type":"text","value":" and ","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"j0lHnx5bZ1"},{"type":"inlineCode","value":"y","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"nW852d2wu0"},{"type":"text","value":" again and assign them to your columns in ","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"YpAgTOCZlG"},{"type":"inlineCode","value":"x-y_squared.csv","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"U4RsgYUIVA"},{"type":"text","value":".","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"JUrgTApVFH"}],"key":"TjaHLTmAw9"}],"key":"AUZzDG6kbY"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"del x, y","key":"xSFX3nLS8h"},{"type":"outputs","id":"f_bNE64GQOV-6Uicr1wJ2","children":[],"key":"CavxnlsnLb"}],"key":"XQ9xyERVCi"},{"type":"block","children":[],"key":"qKMzdJ5DdK"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"load_xy = np.loadtxt(\"x_y-squared.csv\", delimiter=\",\")","key":"DRhHUUexg7"},{"type":"outputs","id":"OSPODdwpCZsXkydop2v8t","children":[],"key":"d7ifuyTcds"}],"key":"FnqRGXvxoo"},{"type":"block","children":[],"key":"t6Iv6uS494"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"load_xy.shape","key":"lhemjyc1WH"},{"type":"outputs","id":"qY4yb6rtaC1ojS1dvWiMC","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":14,"metadata":{},"data":{"text/plain":{"content":"(10, 2)","content_type":"text/plain"}}},"key":"q47vYbDTXT"}],"key":"R7IoiB8o77"}],"key":"zxvGkJeiCC"},{"type":"block","children":[],"key":"PJmRTJRxrE"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"x = load_xy[:, 0]\ny = load_xy[:, 1]\nprint(x)\nprint(y)","key":"fu74bkxcMz"},{"type":"outputs","id":"O6bFyWtPjO09S60peeood","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"[0. 1. 2. 3. 4. 5. 6. 7. 8. 9.]\n[ 0. 1. 4. 9. 16. 25. 36. 49. 64. 81.]\n"},"key":"yQqjsHjyPh"}],"key":"CvHHi2wr8i"}],"key":"AP3K5geQP9"},{"type":"block","children":[{"type":"heading","depth":2,"position":{"start":{"line":231,"column":1},"end":{"line":231,"column":1}},"children":[{"type":"text","value":"Success, but remember your types","position":{"start":{"line":231,"column":1},"end":{"line":231,"column":1}},"key":"PN6yYSMicI"}],"identifier":"success-but-remember-your-types","label":"Success, but remember your types","html_id":"success-but-remember-your-types","implicit":true,"key":"Yuv2H5GZQh"},{"type":"paragraph","position":{"start":{"line":233,"column":1},"end":{"line":234,"column":1}},"children":[{"type":"text","value":"When you saved the arrays to the csv file, you did not preserve the\n","position":{"start":{"line":233,"column":1},"end":{"line":233,"column":1}},"key":"BXTPOBjJhW"},{"type":"inlineCode","value":"int","position":{"start":{"line":233,"column":1},"end":{"line":233,"column":1}},"key":"CTdcDif30E"},{"type":"text","value":" type. 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Saving arrays makes sharing your work and collaboration much easier. There are other ways Python can save data to files, such as ","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"key":"UDWUNz4whZ"},{"type":"link","url":"https://docs.python.org/3/library/pickle.html","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"children":[{"type":"text","value":"pickle","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"key":"Yi0yTlBFMw"}],"urlSource":"https://docs.python.org/3/library/pickle.html","key":"QdJRhCTlO8"},{"type":"text","value":", but ","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"key":"r841CHKmDL"},{"type":"inlineCode","value":"savez","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"key":"ff6UccFgyB"},{"type":"text","value":" and ","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"key":"Y4j9VZO7hN"},{"type":"inlineCode","value":"savetxt","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"key":"rKXyXESmPu"},{"type":"text","value":" will serve most of your storage needs for future NumPy work and sharing with other people, respectively.","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"key":"RMOxLyIbuw"}],"key":"CRUZErSNPW"},{"type":"paragraph","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"children":[{"type":"strong","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"children":[{"type":"text","value":"Next steps","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"gMpCkXzzKO"}],"key":"VD0g7iDmKV"},{"type":"text","value":": you can import data with missing values from ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"QT6hZ1xjk2"},{"type":"link","url":"https://numpy.org/devdocs/user/basics.io.genfromtxt.html","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"children":[{"type":"text","value":"Importing with genfromtext","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"iBQqYlr3kP"}],"urlSource":"https://numpy.org/devdocs/user/basics.io.genfromtxt.html","key":"OnS6mlVpTl"},{"type":"text","value":" or learn more about general NumPy IO with ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"LIJOtiqXgf"},{"type":"link","url":"https://numpy.org/devdocs/user/how-to-io.html","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"children":[{"type":"text","value":"Reading and Writing Files","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"Rsrfk99Auf"}],"urlSource":"https://numpy.org/devdocs/user/how-to-io.html","key":"TbLtII7bm4"},{"type":"text","value":".","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"NDv2K8atgC"}],"key":"Sg5x4oluNW"}],"key":"xvo2q7rCwC"}],"key":"PHyFlwWWE5"},"references":{"cite":{"order":[],"data":{}}},"footer":{"navigation":{"prev":{"title":"Linear algebra on n-dimensional arrays","short_title":"Linear Algebra on n-D arrays","url":"/tutorial-svd","group":"Features"},"next":{"title":"Masked Arrays","url":"/tutorial-ma","group":"Features"}}},"domain":"http://localhost:3000"} \ No newline at end of file diff --git a/save-load-arrays/index.html b/save-load-arrays/index.html new file mode 100644 index 00000000..7f00d006 --- /dev/null +++ b/save-load-arrays/index.html @@ -0,0 +1,120 @@ +Saving and sharing your NumPy arrays - Numpy Tutorials
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Saving and sharing your NumPy arrays

What you’ll learn

You’ll save your NumPy arrays as zipped files and human-readable +comma-delimited files i.e. *.csv. You will also learn to load both of these +file types back into NumPy workspaces.

What you’ll do

You’ll learn two ways of saving and reading files--as compressed and as +text files--that will serve most of your storage needs in NumPy.

  • You’ll create two 1D arrays and one 2D array

  • You’ll save these arrays to files

  • You’ll remove variables from your workspace

  • You’ll load the variables from your saved file

  • You’ll compare zipped binary files to human-readable delimited files

  • You’ll finish with the skills of saving, loading, and sharing NumPy arrays

What you’ll need

  • NumPy

  • read-write access to your working directory

Load the necessary functions using the following command.

import numpy as np

In this tutorial, you will use the following Python, IPython magic, and NumPy functions:

Create your arrays

Now that you have imported the NumPy library, you can make a couple of +arrays; let’s start with two 1D arrays, x and y, where y = x**2.You +will assign x to the integers from 0 to 9 using +np.arange.

x = np.arange(10)
+y = x ** 2
+print(x)
+print(y)
[0 1 2 3 4 5 6 7 8 9]
+[ 0  1  4  9 16 25 36 49 64 81]
+

Save your arrays with NumPy’s savez

Now you have two arrays in your workspace,

x: [0 1 2 3 4 5 6 7 8 9]

y: [ 0 1 4 9 16 25 36 49 64 81]

The first thing you will do is save them to a file as zipped arrays +using +savez. +You will use two options to label the arrays in the file,

  1. x_axis = x: this option is assigning the name x_axis to the variable x

  2. y_axis = y: this option is assigning the name y_axis to the variable y

np.savez("x_y-squared.npz", x_axis=x, y_axis=y)

Remove the saved arrays and load them back with NumPy’s load

In your current working directory, you should have a new file with the +name x_y-squared.npz. This file is a zipped binary of the two arrays, +x and y. Let’s clear the workspace and load the values back in. This +x_y-squared.npz file contains two NPY +format +files. The NPY format is a native binary +format. You cannot read +the numbers in a standard text editor or spreadsheet.

  1. remove x and y from the workspaec with del

  2. load the arrays into the workspace in a dictionary with np.load

To see what variables are in the workspace, use the Jupyter/IPython +“magic” command +whos.

del x, y
%whos
Variable   Type      Data/Info
+------------------------------
+np         module    <module 'numpy' from '/ho<...>kages/numpy/__init__.py'>
+
load_xy = np.load("x_y-squared.npz")
+
+print(load_xy.files)
['x_axis', 'y_axis']
+
%whos
Variable   Type       Data/Info
+-------------------------------
+load_xy    NpzFile    NpzFile 'x_y-squared.npz'<...>with keys: x_axis, y_axis
+np         module     <module 'numpy' from '/ho<...>kages/numpy/__init__.py'>
+

Reassign the NpzFile arrays to x and y

You’ve now created the dictionary with an NpzFile-type. The +included files are x_axis and y_axis that you defined in your +savez command. You can reassign x and y to the load_xy files.

x = load_xy["x_axis"]
+y = load_xy["y_axis"]
+print(x)
+print(y)
[0 1 2 3 4 5 6 7 8 9]
+[ 0  1  4  9 16 25 36 49 64 81]
+

Success

You have created, saved, deleted, and loaded the variables x and y using savez and load. Nice work.

Another option: saving to human-readable csv

Let’s consider another scenario, you want to share x and y with +other people or other programs. You may need human-readable text file +that is easier to share. Next, you use the +savetxt +to save x and y in a comma separated value file, x_y-squared.csv. +The resulting csv is composed of ASCII characters. You can load the file +back into NumPy or read it with other programs.

Rearrange the data into a single 2D array

First, you have to create a single 2D array from your two 1D arrays. The +csv-filetype is a spreadsheet-style dataset. The csv arranges numbers in +rows--separated by new lines--and columns--separated by commas. If the +data is more complex e.g. multiple 2D arrays or higher dimensional +arrays, it is better to use savez. Here, you use +two NumPy functions to format the data:

  1. np.block: this function appends arrays together into a 2D array

  2. np.newaxis: this function forces the 1D array into a 2D column vector with 10 rows and 1 column.

array_out = np.block([x[:, np.newaxis], y[:, np.newaxis]])
+print("the output array has shape ", array_out.shape, " with values:")
+print(array_out)
the output array has shape  (10, 2)  with values:
+[[ 0  0]
+ [ 1  1]
+ [ 2  4]
+ [ 3  9]
+ [ 4 16]
+ [ 5 25]
+ [ 6 36]
+ [ 7 49]
+ [ 8 64]
+ [ 9 81]]
+

Save the data to csv file using savetxt

You use savetxt with a three options to make your file easier to read:

  • X = array_out: this option tells savetxt to save your 2D array, array_out, to the file x_y-squared.csv

  • header = 'x, y': this option writes a header before any data that labels the columns of the csv

  • delimiter = ',': this option tells savetxt to place a comma between each column in the file

np.savetxt("x_y-squared.csv", X=array_out, header="x, y", delimiter=",")

Open the file, x_y-squared.csv, and you’ll see the following:

!head x_y-squared.csv
# x, y
+0.000000000000000000e+00,0.000000000000000000e+00
+1.000000000000000000e+00,1.000000000000000000e+00
+2.000000000000000000e+00,4.000000000000000000e+00
+3.000000000000000000e+00,9.000000000000000000e+00
+4.000000000000000000e+00,1.600000000000000000e+01
+5.000000000000000000e+00,2.500000000000000000e+01
+6.000000000000000000e+00,3.600000000000000000e+01
+7.000000000000000000e+00,4.900000000000000000e+01
+8.000000000000000000e+00,6.400000000000000000e+01
+

Our arrays as a csv file

There are two features that you shoud notice here:

  1. NumPy uses # to ignore headings when using loadtxt. If you’re using +loadtxt +with other csv files, you can skip header rows with skiprows = <number_of_header_lines>.

  2. The integers were written in scientific notation. You can specify +the format of the text using the savetxt option, fmt = , but it +will still be written with ASCII characters. In general, you cannot +preserve the type of ASCII numbers as float or int.

Now, delete x and y again and assign them to your columns in x-y_squared.csv.

del x, y
load_xy = np.loadtxt("x_y-squared.csv", delimiter=",")
load_xy.shape
(10, 2)
x = load_xy[:, 0]
+y = load_xy[:, 1]
+print(x)
+print(y)
[0. 1. 2. 3. 4. 5. 6. 7. 8. 9.]
+[ 0.  1.  4.  9. 16. 25. 36. 49. 64. 81.]
+

Success, but remember your types

When you saved the arrays to the csv file, you did not preserve the +int type. When loading the arrays back into your workspace the default process will be to load the csv file as a 2D floating point array e.g. load_xy.dtype == 'float64' and load_xy.shape == (10, 2).

Wrapping up

In conclusion, you can create, save, and load arrays in NumPy. Saving arrays makes sharing your work and collaboration much easier. There are other ways Python can save data to files, such as pickle, but savez and savetxt will serve most of your storage needs for future NumPy work and sharing with other people, respectively.

Next steps: you can import data with missing values from Importing with genfromtext or learn more about general NumPy IO with Reading and Writing Files.

Features
Linear Algebra on n-D arrays
Features
Masked Arrays
\ No newline at end of file diff --git a/service-worker.js b/service-worker.js new file mode 100644 index 00000000..ad691d85 --- /dev/null +++ b/service-worker.js @@ -0,0 +1 @@ +"use strict";const CACHE="precache",broadcast=new BroadcastChannel("/api/drive.v1");let enableCache=!1;function onInstall(e){self.skipWaiting(),e.waitUntil(cacheAll())}function onActivate(e){const a=new URL(location.href).searchParams;enableCache="true"===a.get("enableCache"),e.waitUntil(self.clients.claim())}async function onFetch(e){const{request:a}=e,t=new URL(e.request.url);if("/api/service-worker-heartbeat"===t.pathname)return void e.respondWith(new Response("ok"));let n=null;shouldBroadcast(t)?n=broadcastOne(a):shouldDrop(a,t)||(n=maybeFromCache(e)),n&&e.respondWith(n)}async function maybeFromCache(e){const{request:a}=e;if(!enableCache)return await fetch(a);let t=await fromCache(a);return t?e.waitUntil(refetch(a)):(t=await fetch(a),e.waitUntil(updateCache(a,t.clone()))),t}async function fromCache(e){const a=await openCache(),t=await a.match(e);return t&&404!==t.status?t:null}async function refetch(e){const a=await fetch(e);return await updateCache(e,a),a}function shouldBroadcast(e){return e.origin===location.origin&&e.pathname.includes("/api/drive")}function shouldDrop(e,a){return"GET"!==e.method||null===a.origin.match(/^http/)||a.pathname.includes("/api/")}async function broadcastOne(e){const a=new Promise((e=>{broadcast.onmessage=a=>{e(new Response(JSON.stringify(a.data)))}})),t=await e.json();return t.receiver="broadcast.ts",broadcast.postMessage(t),await a}async function openCache(){return await caches.open(CACHE)}async function updateCache(e,a){return(await openCache()).put(e,a)}async function cacheAll(){const e=await openCache();return await e.addAll([])}self.addEventListener("install",onInstall),self.addEventListener("activate",onActivate),self.addEventListener("fetch",onFetch); \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 00000000..53b35d35 --- /dev/null +++ b/sitemap.xml @@ -0,0 +1,40 @@ + + + + + http://localhost:3000 + + + http://localhost:3000/mooreslaw-tutorial + + + http://localhost:3000/tutorial-deep-learning-on-mnist + + + http://localhost:3000/tutorial-x-ray-image-processing + + + http://localhost:3000/tutorial-static-equilibrium + + + http://localhost:3000/tutorial-plotting-fractals + + + http://localhost:3000/tutorial-air-quality-analysis + + + http://localhost:3000/tutorial-svd + + + http://localhost:3000/save-load-arrays + + + http://localhost:3000/tutorial-ma + + + http://localhost:3000/contributing + + + http://localhost:3000/tutorial-style-guide + + \ No newline at end of file diff --git a/sitemap_style.xsl b/sitemap_style.xsl new file mode 100644 index 00000000..cea5251e --- /dev/null +++ b/sitemap_style.xsl @@ -0,0 +1,73 @@ + + + + + + + + +XML Sitemap + + + +
+
+

XML Sitemap

+

This XML Sitemap is generated by Curvenote to make your content more visible for search engines.

+

+Learn more about XML sitemaps. +

+
+
+

+Number of URLs in this XML Sitemap: + +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
URLLast ModifiedChange FrequencyPriority
+ + + + + + + + + +
+
+
+ + + + \ No newline at end of file diff --git a/test_requirements.txt b/test_requirements.txt deleted file mode 100644 index d20d5b24..00000000 --- a/test_requirements.txt +++ /dev/null @@ -1,2 +0,0 @@ -pytest -nbval diff --git a/thebe-core.css b/thebe-core.css new file mode 100644 index 00000000..e3d24e67 --- /dev/null +++ b/thebe-core.css @@ -0,0 +1,3285 @@ +/* ../../node_modules/@jupyterlab/theme-light-extension/style/variables.css */ +:root { + --jp-shadow-base-lightness: 0; + --jp-shadow-umbra-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 0.2 ); + --jp-shadow-penumbra-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 0.14 ); + --jp-shadow-ambient-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 0.12 ); + --jp-elevation-z0: none; + --jp-elevation-z1: + 0 2px 1px -1px var(--jp-shadow-umbra-color), + 0 1px 1px 0 var(--jp-shadow-penumbra-color), + 0 1px 3px 0 var(--jp-shadow-ambient-color); + --jp-elevation-z2: + 0 3px 1px -2px var(--jp-shadow-umbra-color), + 0 2px 2px 0 var(--jp-shadow-penumbra-color), + 0 1px 5px 0 var(--jp-shadow-ambient-color); + --jp-elevation-z4: + 0 2px 4px -1px var(--jp-shadow-umbra-color), + 0 4px 5px 0 var(--jp-shadow-penumbra-color), + 0 1px 10px 0 var(--jp-shadow-ambient-color); + --jp-elevation-z6: + 0 3px 5px -1px var(--jp-shadow-umbra-color), + 0 6px 10px 0 var(--jp-shadow-penumbra-color), + 0 1px 18px 0 var(--jp-shadow-ambient-color); + --jp-elevation-z8: + 0 5px 5px -3px var(--jp-shadow-umbra-color), + 0 8px 10px 1px var(--jp-shadow-penumbra-color), + 0 3px 14px 2px var(--jp-shadow-ambient-color); + --jp-elevation-z12: + 0 7px 8px -4px var(--jp-shadow-umbra-color), + 0 12px 17px 2px var(--jp-shadow-penumbra-color), + 0 5px 22px 4px var(--jp-shadow-ambient-color); + --jp-elevation-z16: + 0 8px 10px -5px var(--jp-shadow-umbra-color), + 0 16px 24px 2px var(--jp-shadow-penumbra-color), + 0 6px 30px 5px var(--jp-shadow-ambient-color); + --jp-elevation-z20: + 0 10px 13px -6px var(--jp-shadow-umbra-color), + 0 20px 31px 3px var(--jp-shadow-penumbra-color), + 0 8px 38px 7px var(--jp-shadow-ambient-color); + --jp-elevation-z24: + 0 11px 15px -7px var(--jp-shadow-umbra-color), + 0 24px 38px 3px var(--jp-shadow-penumbra-color), + 0 9px 46px 8px var(--jp-shadow-ambient-color); + --jp-border-width: 1px; + --jp-border-color0: var(--md-grey-400, #bdbdbd); + --jp-border-color1: var(--md-grey-400, #bdbdbd); + --jp-border-color2: var(--md-grey-300, #e0e0e0); + --jp-border-color3: var(--md-grey-200, #eee); + --jp-inverse-border-color: var(--md-grey-600, #757575); + --jp-border-radius: 2px; + --jp-ui-font-scale-factor: 1.2; + --jp-ui-font-size0: 0.83333em; + --jp-ui-font-size1: 13px; + --jp-ui-font-size2: 1.2em; + --jp-ui-font-size3: 1.44em; + --jp-ui-font-family: + system-ui, + -apple-system, + blinkmacsystemfont, + "Segoe UI", + helvetica, + arial, + sans-serif, + "Apple Color Emoji", + "Segoe UI Emoji", + "Segoe UI Symbol"; + --jp-ui-font-color0: rgba(0, 0, 0, 1); + --jp-ui-font-color1: rgba(0, 0, 0, 0.87); + --jp-ui-font-color2: rgba(0, 0, 0, 0.54); + --jp-ui-font-color3: rgba(0, 0, 0, 0.38); + --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1); + --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1); + --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7); + --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5); + --jp-content-line-height: 1.6; + --jp-content-font-scale-factor: 1.2; + --jp-content-font-size0: 0.83333em; + --jp-content-font-size1: 14px; + --jp-content-font-size2: 1.2em; + --jp-content-font-size3: 1.44em; + --jp-content-font-size4: 1.728em; + --jp-content-font-size5: 2.0736em; + --jp-content-presentation-font-size1: 17px; + --jp-content-heading-line-height: 1; + --jp-content-heading-margin-top: 1.2em; + --jp-content-heading-margin-bottom: 0.8em; + --jp-content-heading-font-weight: 500; + --jp-content-font-color0: rgba(0, 0, 0, 1); + --jp-content-font-color1: rgba(0, 0, 0, 0.87); + --jp-content-font-color2: rgba(0, 0, 0, 0.54); + --jp-content-font-color3: rgba(0, 0, 0, 0.38); + --jp-content-link-color: var(--md-blue-900, #0d47a1); + --jp-content-link-visited-color: var(--md-purple-700, #7b1fa2); + --jp-content-font-family: + system-ui, + -apple-system, + blinkmacsystemfont, + "Segoe UI", + helvetica, + arial, + sans-serif, + "Apple Color Emoji", + "Segoe UI Emoji", + "Segoe UI Symbol"; + --jp-code-font-size: 13px; + --jp-code-line-height: 1.3077; + --jp-code-padding: 5px; + --jp-code-font-family-default: + menlo, + consolas, + "DejaVu Sans Mono", + monospace; + --jp-code-font-family: var(--jp-code-font-family-default); + --jp-code-presentation-font-size: 16px; + --jp-code-cursor-width0: 1.4px; + --jp-code-cursor-width1: 2px; + --jp-code-cursor-width2: 4px; + --jp-layout-color0: white; + --jp-layout-color1: white; + --jp-layout-color2: var(--md-grey-200, #eee); + --jp-layout-color3: var(--md-grey-400, #bdbdbd); + --jp-layout-color4: var(--md-grey-600, #757575); + --jp-inverse-layout-color0: #111; + --jp-inverse-layout-color1: var(--md-grey-900, #212121); + --jp-inverse-layout-color2: var(--md-grey-800, #424242); + --jp-inverse-layout-color3: var(--md-grey-700, #616161); + --jp-inverse-layout-color4: var(--md-grey-600, #757575); + --jp-brand-color0: var(--md-blue-900, #0d47a1); + --jp-brand-color1: var(--md-blue-700, #1976d2); + --jp-brand-color2: var(--md-blue-300, #64b5f6); + --jp-brand-color3: var(--md-blue-100, #bbdefb); + --jp-brand-color4: var(--md-blue-50, #e3f2fd); + --jp-accent-color0: var(--md-green-900, #1b5e20); + --jp-accent-color1: var(--md-green-700, #388e3c); + --jp-accent-color2: var(--md-green-300, #81c784); + --jp-accent-color3: var(--md-green-100, #c8e6c9); + --jp-warn-color0: var(--md-orange-900, #e65100); + --jp-warn-color1: var(--md-orange-700, #f57c00); + --jp-warn-color2: var(--md-orange-300, #ffb74d); + --jp-warn-color3: var(--md-orange-100, #ffe0b2); + --jp-error-color0: var(--md-red-900, #b71c1c); + --jp-error-color1: var(--md-red-700, #d32f2f); + --jp-error-color2: var(--md-red-300, #e57373); + --jp-error-color3: var(--md-red-100, #ffcdd2); + --jp-success-color0: var(--md-green-900, #1b5e20); + --jp-success-color1: var(--md-green-700, #388e3c); + --jp-success-color2: var(--md-green-300, #81c784); + --jp-success-color3: var(--md-green-100, #c8e6c9); + --jp-info-color0: var(--md-cyan-900, #006064); + --jp-info-color1: var(--md-cyan-700, #0097a7); + --jp-info-color2: var(--md-cyan-300, #4dd0e1); + --jp-info-color3: var(--md-cyan-100, #b2ebf2); + --jp-cell-padding: 5px; + --jp-cell-collapser-width: 8px; + --jp-cell-collapser-min-height: 20px; + --jp-cell-collapser-not-active-hover-opacity: 0.6; + --jp-cell-editor-background: var(--md-grey-100, #f5f5f5); + --jp-cell-editor-border-color: var(--md-grey-300, #e0e0e0); + --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300, #64b5f6); + --jp-cell-editor-active-background: var(--jp-layout-color0); + --jp-cell-editor-active-border-color: var(--jp-brand-color1); + --jp-cell-prompt-width: 64px; + --jp-cell-prompt-font-family: var(--jp-code-font-family-default); + --jp-cell-prompt-letter-spacing: 0; + --jp-cell-prompt-opacity: 1; + --jp-cell-prompt-not-active-opacity: 0.5; + --jp-cell-prompt-not-active-font-color: var(--md-grey-700, #616161); + --jp-cell-inprompt-font-color: #307fc1; + --jp-cell-outprompt-font-color: #bf5b3d; + --jp-notebook-padding: 10px; + --jp-notebook-select-background: var(--jp-layout-color1); + --jp-notebook-multiselected-color: var(--md-blue-50, #e3f2fd); + --jp-notebook-scroll-padding: calc( 100% - var(--jp-code-font-size) * var(--jp-code-line-height) - var(--jp-code-padding) - var(--jp-cell-padding) - 1px ); + --jp-rendermime-error-background: #fdd; + --jp-rendermime-table-row-background: var(--md-grey-100, #cfd8dc); + --jp-rendermime-table-row-hover-background: var(--md-light-blue-50, #e1f5fe); + --jp-dialog-background: rgba(0, 0, 0, 0.25); + --jp-console-padding: 10px; + --jp-toolbar-border-color: var(--jp-border-color1); + --jp-toolbar-micro-height: 8px; + --jp-toolbar-background: var(--jp-layout-color1); + --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24); + --jp-toolbar-header-margin: 4px 4px 0 4px; + --jp-toolbar-active-background: var(--md-grey-300, #90a4ae); + --jp-statusbar-height: 24px; + --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300, #64b5f6); + --jp-input-active-background: var(--jp-layout-color1); + --jp-input-hover-background: var(--jp-layout-color1); + --jp-input-background: var(--md-grey-100, #f5f5f5); + --jp-input-border-color: var(--jp-inverse-border-color); + --jp-input-active-border-color: var(--jp-brand-color1); + --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3); + --jp-editor-selected-background: #d9d9d9; + --jp-editor-selected-focused-background: #d7d4f0; + --jp-editor-cursor-color: var(--jp-ui-font-color0); + --jp-mirror-editor-keyword-color: #008000; + --jp-mirror-editor-atom-color: #88f; + --jp-mirror-editor-number-color: #080; + --jp-mirror-editor-def-color: #00f; + --jp-mirror-editor-variable-color: var(--md-grey-900, #212121); + --jp-mirror-editor-variable-2-color: rgb(0, 54, 109); + --jp-mirror-editor-variable-3-color: #085; + --jp-mirror-editor-punctuation-color: #05a; + --jp-mirror-editor-property-color: #05a; + --jp-mirror-editor-operator-color: #a2f; + --jp-mirror-editor-comment-color: #408080; + --jp-mirror-editor-string-color: #ba2121; + --jp-mirror-editor-string-2-color: #708; + --jp-mirror-editor-meta-color: #a2f; + --jp-mirror-editor-qualifier-color: #555; + --jp-mirror-editor-builtin-color: #008000; + --jp-mirror-editor-bracket-color: #997; + --jp-mirror-editor-tag-color: #170; + --jp-mirror-editor-attribute-color: #00c; + --jp-mirror-editor-header-color: blue; + --jp-mirror-editor-quote-color: #090; + --jp-mirror-editor-link-color: #00c; + --jp-mirror-editor-error-color: #f00; + --jp-mirror-editor-hr-color: #999; + --jp-collaborator-color1: #ffad8e; + --jp-collaborator-color2: #dac83d; + --jp-collaborator-color3: #72dd76; + --jp-collaborator-color4: #00e4d0; + --jp-collaborator-color5: #45d4ff; + --jp-collaborator-color6: #e2b1ff; + --jp-collaborator-color7: #ff9de6; + --jp-vega-background: white; + --jp-sidebar-min-width: 250px; + --jp-search-toggle-off-opacity: 0.5; + --jp-search-toggle-hover-opacity: 0.8; + --jp-search-toggle-on-opacity: 1; + --jp-search-selected-match-background-color: rgb(245, 200, 0); + --jp-search-selected-match-color: black; + --jp-search-unselected-match-background-color: var( --jp-inverse-layout-color0 ); + --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0); + --jp-icon-contrast-color0: var(--md-purple-600, #8e24aa); + --jp-icon-contrast-color1: var(--md-green-600, #43a047); + --jp-icon-contrast-color2: var(--md-pink-600, #d81b60); + --jp-icon-contrast-color3: var(--md-blue-600, #1e88e5); + --jp-accept-color-normal: var(--md-blue-700, #1976d2); + --jp-accept-color-hover: var(--md-blue-800, #1565c0); + --jp-accept-color-active: var(--md-blue-900, #0d47a1); + --jp-warn-color-normal: var(--md-red-700, #d32f2f); + --jp-warn-color-hover: var(--md-red-800, #c62828); + --jp-warn-color-active: var(--md-red-900, #b71c1c); + --jp-reject-color-normal: var(--md-grey-600, #757575); + --jp-reject-color-hover: var(--md-grey-700, #616161); + --jp-reject-color-active: var(--md-grey-800, #424242); + --jp-jupyter-icon-color: #f37626; + --jp-notebook-icon-color: #f37626; + --jp-json-icon-color: var(--md-orange-700, #f57c00); + --jp-console-icon-background-color: var(--md-blue-700, #1976d2); + --jp-console-icon-color: white; + --jp-terminal-icon-background-color: var(--md-grey-800, #424242); + --jp-terminal-icon-color: var(--md-grey-200, #eee); + --jp-text-editor-icon-color: var(--md-grey-700, #616161); + --jp-inspector-icon-color: var(--md-grey-700, #616161); + --jp-switch-color: var(--md-grey-400, #bdbdbd); + --jp-switch-true-position-color: var(--md-orange-900, #e65100); +} + +/* ../../node_modules/@jupyterlab/theme-light-extension/style/theme.css */ +tt, +code, +kbd, +samp, +pre { + font-family: var(--jp-code-font-family); + font-size: var(--jp-code-font-size); + line-height: var(--jp-code-line-height); +} + +/* ../../node_modules/@jupyter-widgets/controls/css/lumino.css */ +.jupyter-widgets.widget-tab > .p-TabBar, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar { + display: flex; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} +.jupyter-widgets.widget-tab > .p-TabBar[data-orientation=horizontal], +.jupyter-widgets.jupyter-widget-tab > .p-TabBar[data-orientation=horizontal], +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar[data-orientation=horizontal] { + flex-direction: row; +} +.jupyter-widgets.widget-tab > .p-TabBar[data-orientation=vertical], +.jupyter-widgets.jupyter-widget-tab > .p-TabBar[data-orientation=vertical], +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar[data-orientation=vertical] { + flex-direction: column; +} +.jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar > .p-TabBar-content, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar > .lm-TabBar-content { + margin: 0; + padding: 0; + display: flex; + flex: 1 1 auto; + list-style-type: none; +} +.jupyter-widgets.widget-tab > .p-TabBar[data-orientation=horizontal] > .p-TabBar-content, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar[data-orientation=horizontal] > .p-TabBar-content, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar[data-orientation=horizontal] > .lm-TabBar-content { + flex-direction: row; +} +.jupyter-widgets.widget-tab > .p-TabBar[data-orientation=vertical] > .p-TabBar-content, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar[data-orientation=vertical] > .p-TabBar-content, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar[data-orientation=vertical] > .lm-TabBar-content { + flex-direction: column; +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tab { + display: flex; + flex-direction: row; + box-sizing: border-box; + overflow: hidden; +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon, +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tabIcon, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tabCloseIcon, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tabIcon, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tabCloseIcon { + flex: 0 0 auto; +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tabLabel, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tabLabel { + flex: 1 1 auto; + overflow: hidden; + white-space: nowrap; +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-hidden, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tab.p-mod-hidden, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tab.lm-mod-hidden { + display: none !important; +} +.jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar.lm-mod-dragging .lm-TabBar-tab { + position: relative; +} +.jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation=horizontal] .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar.p-mod-dragging[data-orientation=horizontal] .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar.lm-mod-dragging[data-orientation=horizontal] .lm-TabBar-tab { + left: 0; + transition: left 150ms ease; +} +.jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation=vertical] .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar.p-mod-dragging[data-orientation=vertical] .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar.lm-mod-dragging[data-orientation=vertical] .lm-TabBar-tab { + top: 0; + transition: top 150ms ease; +} +.jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging { + transition: none; +} + +/* ../../node_modules/@jupyter-widgets/controls/css/nouislider.css */ +.widget-slider, +.jupyter-widget-slider { +} +.widget-slider .noUi-target, +.jupyter-widget-slider .noUi-target, +.widget-slider .noUi-target *, +.jupyter-widget-slider .noUi-target * { + -webkit-touch-callout: none; + -webkit-tap-highlight-color: rgba(0, 0, 0, 0); + -webkit-user-select: none; + -ms-touch-action: none; + touch-action: none; + -ms-user-select: none; + -moz-user-select: none; + user-select: none; + -moz-box-sizing: border-box; + box-sizing: border-box; +} +.widget-slider .noUi-target, +.jupyter-widget-slider .noUi-target { + position: relative; +} +.widget-slider .noUi-base, +.jupyter-widget-slider .noUi-base, +.widget-slider .noUi-connects, +.jupyter-widget-slider .noUi-connects { + width: 100%; + height: 100%; + position: relative; + z-index: 1; +} +.widget-slider .noUi-connects, +.jupyter-widget-slider .noUi-connects { + overflow: hidden; + z-index: 0; +} +.widget-slider .noUi-connect, +.jupyter-widget-slider .noUi-connect, +.widget-slider .noUi-origin, +.jupyter-widget-slider .noUi-origin { + will-change: transform; + position: absolute; + z-index: 1; + top: 0; + right: 0; + -ms-transform-origin: 0 0; + -webkit-transform-origin: 0 0; + -webkit-transform-style: preserve-3d; + transform-origin: 0 0; + transform-style: flat; +} +.widget-slider .noUi-connect, +.jupyter-widget-slider .noUi-connect { + height: 100%; + width: 100%; +} +.widget-slider .noUi-origin, +.jupyter-widget-slider .noUi-origin { + height: 10%; + width: 10%; +} +.widget-slider .noUi-txt-dir-rtl.noUi-horizontal .noUi-origin, +.jupyter-widget-slider .noUi-txt-dir-rtl.noUi-horizontal .noUi-origin { + left: 0; + right: auto; +} +.widget-slider .noUi-vertical .noUi-origin, +.jupyter-widget-slider .noUi-vertical .noUi-origin { + width: 0; +} +.widget-slider .noUi-horizontal .noUi-origin, +.jupyter-widget-slider .noUi-horizontal .noUi-origin { + height: 0; +} +.widget-slider .noUi-handle, +.jupyter-widget-slider .noUi-handle { + -webkit-backface-visibility: hidden; + backface-visibility: hidden; + position: absolute; +} +.widget-slider .noUi-touch-area, +.jupyter-widget-slider .noUi-touch-area { + height: 100%; + width: 100%; +} +.widget-slider .noUi-state-tap .noUi-connect, +.jupyter-widget-slider .noUi-state-tap .noUi-connect, +.widget-slider .noUi-state-tap .noUi-origin, +.jupyter-widget-slider .noUi-state-tap .noUi-origin { + -webkit-transition: transform 0.3s; + transition: transform 0.3s; +} +.widget-slider .noUi-state-drag *, +.jupyter-widget-slider .noUi-state-drag * { + cursor: inherit !important; +} +.widget-slider .noUi-horizontal, +.jupyter-widget-slider .noUi-horizontal { + height: 18px; +} +.widget-slider .noUi-horizontal .noUi-handle, +.jupyter-widget-slider .noUi-horizontal .noUi-handle { + width: 34px; + height: 28px; + right: -17px; + top: -6px; +} +.widget-slider .noUi-vertical, +.jupyter-widget-slider .noUi-vertical { + width: 18px; +} +.widget-slider .noUi-vertical .noUi-handle, +.jupyter-widget-slider .noUi-vertical .noUi-handle { + width: 28px; + height: 34px; + right: -6px; + top: -17px; +} +.widget-slider .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle, +.jupyter-widget-slider .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle { + left: -17px; + right: auto; +} +.widget-slider .noUi-target, +.jupyter-widget-slider .noUi-target { + background: #FAFAFA; + border-radius: 4px; + border: 1px solid #D3D3D3; + box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB; +} +.widget-slider .noUi-connects, +.jupyter-widget-slider .noUi-connects { + border-radius: 3px; +} +.widget-slider .noUi-connect, +.jupyter-widget-slider .noUi-connect { + background: #3FB8AF; +} +.widget-slider .noUi-draggable, +.jupyter-widget-slider .noUi-draggable { + cursor: ew-resize; +} +.widget-slider .noUi-vertical .noUi-draggable, +.jupyter-widget-slider .noUi-vertical .noUi-draggable { + cursor: ns-resize; +} +.widget-slider .noUi-handle, +.jupyter-widget-slider .noUi-handle { + border: 1px solid #D9D9D9; + border-radius: 3px; + background: #FFF; + cursor: default; + box-shadow: + inset 0 0 1px #FFF, + inset 0 1px 7px #EBEBEB, + 0 3px 6px -3px #BBB; +} +.widget-slider .noUi-active, +.jupyter-widget-slider .noUi-active { + box-shadow: + inset 0 0 1px #FFF, + inset 0 1px 7px #DDD, + 0 3px 6px -3px #BBB; +} +.widget-slider .noUi-handle:before, +.jupyter-widget-slider .noUi-handle:before, +.widget-slider .noUi-handle:after, +.jupyter-widget-slider .noUi-handle:after { + content: ""; + display: block; + position: absolute; + height: 14px; + width: 1px; + background: #E8E7E6; + left: 14px; + top: 6px; +} +.widget-slider .noUi-handle:after, +.jupyter-widget-slider .noUi-handle:after { + left: 17px; +} +.widget-slider .noUi-vertical .noUi-handle:before, +.jupyter-widget-slider .noUi-vertical .noUi-handle:before, +.widget-slider .noUi-vertical .noUi-handle:after, +.jupyter-widget-slider .noUi-vertical .noUi-handle:after { + width: 14px; + height: 1px; + left: 6px; + top: 14px; +} +.widget-slider .noUi-vertical .noUi-handle:after, +.jupyter-widget-slider .noUi-vertical .noUi-handle:after { + top: 17px; +} +.widget-slider [disabled] .noUi-connect, +.jupyter-widget-slider [disabled] .noUi-connect { + background: #B8B8B8; +} +.widget-slider [disabled].noUi-target, +.jupyter-widget-slider [disabled].noUi-target, +.widget-slider [disabled].noUi-handle, +.jupyter-widget-slider [disabled].noUi-handle, +.widget-slider [disabled] .noUi-handle, +.jupyter-widget-slider [disabled] .noUi-handle { + cursor: not-allowed; +} +.widget-slider .noUi-pips, +.jupyter-widget-slider .noUi-pips, +.widget-slider .noUi-pips *, +.jupyter-widget-slider .noUi-pips * { + -moz-box-sizing: border-box; + box-sizing: border-box; +} +.widget-slider .noUi-pips, +.jupyter-widget-slider .noUi-pips { + position: absolute; + color: #999; +} +.widget-slider .noUi-value, +.jupyter-widget-slider .noUi-value { + position: absolute; + white-space: nowrap; + text-align: center; +} +.widget-slider .noUi-value-sub, +.jupyter-widget-slider .noUi-value-sub { + color: #ccc; + font-size: 10px; +} +.widget-slider .noUi-marker, +.jupyter-widget-slider .noUi-marker { + position: absolute; + background: #CCC; +} +.widget-slider .noUi-marker-sub, +.jupyter-widget-slider .noUi-marker-sub { + background: #AAA; +} +.widget-slider .noUi-marker-large, +.jupyter-widget-slider .noUi-marker-large { + background: #AAA; +} +.widget-slider .noUi-pips-horizontal, +.jupyter-widget-slider .noUi-pips-horizontal { + padding: 10px 0; + height: 80px; + top: 100%; + left: 0; + width: 100%; +} +.widget-slider .noUi-value-horizontal, +.jupyter-widget-slider .noUi-value-horizontal { + -webkit-transform: translate(-50%, 50%); + transform: translate(-50%, 50%); +} +.noUi-rtl .widget-slider .noUi-value-horizontal, +.noUi-rtl .jupyter-widget-slider .noUi-value-horizontal { + -webkit-transform: translate(50%, 50%); + transform: translate(50%, 50%); +} +.widget-slider .noUi-marker-horizontal.noUi-marker, +.jupyter-widget-slider .noUi-marker-horizontal.noUi-marker { + margin-left: -1px; + width: 2px; + height: 5px; +} +.widget-slider .noUi-marker-horizontal.noUi-marker-sub, +.jupyter-widget-slider .noUi-marker-horizontal.noUi-marker-sub { + height: 10px; +} +.widget-slider .noUi-marker-horizontal.noUi-marker-large, +.jupyter-widget-slider .noUi-marker-horizontal.noUi-marker-large { + height: 15px; +} +.widget-slider .noUi-pips-vertical, +.jupyter-widget-slider .noUi-pips-vertical { + padding: 0 10px; + height: 100%; + top: 0; + left: 100%; +} +.widget-slider .noUi-value-vertical, +.jupyter-widget-slider .noUi-value-vertical { + -webkit-transform: translate(0, -50%); + transform: translate(0, -50%); + padding-left: 25px; +} +.noUi-rtl .widget-slider .noUi-value-vertical, +.noUi-rtl .jupyter-widget-slider .noUi-value-vertical { + -webkit-transform: translate(0, 50%); + transform: translate(0, 50%); +} +.widget-slider .noUi-marker-vertical.noUi-marker, +.jupyter-widget-slider .noUi-marker-vertical.noUi-marker { + width: 5px; + height: 2px; + margin-top: -1px; +} +.widget-slider .noUi-marker-vertical.noUi-marker-sub, +.jupyter-widget-slider .noUi-marker-vertical.noUi-marker-sub { + width: 10px; +} +.widget-slider .noUi-marker-vertical.noUi-marker-large, +.jupyter-widget-slider .noUi-marker-vertical.noUi-marker-large { + width: 15px; +} +.widget-slider .noUi-tooltip, +.jupyter-widget-slider .noUi-tooltip { + display: block; + position: absolute; + border: 1px solid #D9D9D9; + border-radius: 3px; + background: #fff; + color: #000; + padding: 5px; + text-align: center; + white-space: nowrap; +} +.widget-slider .noUi-horizontal .noUi-tooltip, +.jupyter-widget-slider .noUi-horizontal .noUi-tooltip { + -webkit-transform: translate(-50%, 0); + transform: translate(-50%, 0); + left: 50%; + bottom: 120%; +} +.widget-slider .noUi-vertical .noUi-tooltip, +.jupyter-widget-slider .noUi-vertical .noUi-tooltip { + -webkit-transform: translate(0, -50%); + transform: translate(0, -50%); + top: 50%; + right: 120%; +} +.widget-slider .noUi-horizontal .noUi-origin > .noUi-tooltip, +.jupyter-widget-slider .noUi-horizontal .noUi-origin > .noUi-tooltip { + -webkit-transform: translate(50%, 0); + transform: translate(50%, 0); + left: auto; + bottom: 10px; +} +.widget-slider .noUi-vertical .noUi-origin > .noUi-tooltip, +.jupyter-widget-slider .noUi-vertical .noUi-origin > .noUi-tooltip { + -webkit-transform: translate(0, -18px); + transform: translate(0, -18px); + top: auto; + right: 28px; +} +.widget-slider .noUi-connect, +.jupyter-widget-slider .noUi-connect { + background: #2196f3; +} +.widget-slider .noUi-horizontal, +.jupyter-widget-slider .noUi-horizontal { + height: var(--jp-widgets-slider-track-thickness); +} +.widget-slider .noUi-vertical, +.jupyter-widget-slider .noUi-vertical { + width: var(--jp-widgets-slider-track-thickness); + height: 100%; +} +.widget-slider .noUi-horizontal .noUi-handle, +.jupyter-widget-slider .noUi-horizontal .noUi-handle { + width: var(--jp-widgets-slider-handle-size); + height: var(--jp-widgets-slider-handle-size); + border-radius: 50%; + top: calc((var(--jp-widgets-slider-track-thickness) - var(--jp-widgets-slider-handle-size)) / 2); + right: calc(var(--jp-widgets-slider-handle-size) / -2); +} +.widget-slider .noUi-vertical .noUi-handle, +.jupyter-widget-slider .noUi-vertical .noUi-handle { + height: var(--jp-widgets-slider-handle-size); + width: var(--jp-widgets-slider-handle-size); + border-radius: 50%; + right: calc((var(--jp-widgets-slider-handle-size) - var(--jp-widgets-slider-track-thickness)) / -2); + top: calc(var(--jp-widgets-slider-handle-size) / -2); +} +.widget-slider .noUi-handle:after, +.jupyter-widget-slider .noUi-handle:after { + content: none; +} +.widget-slider .noUi-handle:before, +.jupyter-widget-slider .noUi-handle:before { + content: none; +} +.widget-slider .noUi-target, +.jupyter-widget-slider .noUi-target { + background: #fafafa; + border-radius: 4px; + border: 1px; +} +.widget-slider .ui-slider, +.jupyter-widget-slider .ui-slider { + border: var(--jp-widgets-slider-border-width) solid var(--jp-layout-color3); + background: var(--jp-layout-color3); + box-sizing: border-box; + position: relative; + border-radius: 0px; +} +.widget-slider .noUi-handle, +.jupyter-widget-slider .noUi-handle { + width: var(--jp-widgets-slider-handle-size); + border: 1px solid #d9d9d9; + border-radius: 3px; + background: #fff; + cursor: default; + box-shadow: none; + outline: none; +} +.widget-slider .noUi-target:not([disabled]) .noUi-handle:hover, +.jupyter-widget-slider .noUi-target:not([disabled]) .noUi-handle:hover, +.widget-slider .noUi-target:not([disabled]) .noUi-handle:focus, +.jupyter-widget-slider .noUi-target:not([disabled]) .noUi-handle:focus { + background-color: var(--jp-widgets-slider-active-handle-color); + border: var(--jp-widgets-slider-border-width) solid var(--jp-widgets-slider-active-handle-color); +} +.widget-slider [disabled].noUi-target, +.jupyter-widget-slider [disabled].noUi-target { + opacity: 0.35; +} +.widget-slider .noUi-connects, +.jupyter-widget-slider .noUi-connects { + overflow: visible; + z-index: 0; + background: var(--jp-layout-color3); +} +.widget-slider .noUi-vertical .noUi-connect, +.jupyter-widget-slider .noUi-vertical .noUi-connect { + width: calc(100% + 2px); + right: -1px; +} +.widget-slider .noUi-horizontal .noUi-connect, +.jupyter-widget-slider .noUi-horizontal .noUi-connect { + height: calc(100% + 2px); + top: -1px; +} + +/* ../../node_modules/@jupyter-widgets/controls/css/widgets-base.css */ +:root { + --jp-widgets-color: var(--jp-content-font-color1); + --jp-widgets-label-color: var(--jp-widgets-color); + --jp-widgets-readout-color: var(--jp-widgets-color); + --jp-widgets-font-size: var(--jp-ui-font-size1); + --jp-widgets-margin: 2px; + --jp-widgets-inline-height: 28px; + --jp-widgets-inline-width: 300px; + --jp-widgets-inline-width-short: calc( var(--jp-widgets-inline-width) / 2 - var(--jp-widgets-margin) ); + --jp-widgets-inline-width-tiny: calc( var(--jp-widgets-inline-width-short) / 2 - var(--jp-widgets-margin) ); + --jp-widgets-inline-margin: 4px; + --jp-widgets-inline-label-width: 80px; + --jp-widgets-border-width: var(--jp-border-width); + --jp-widgets-vertical-height: 200px; + --jp-widgets-horizontal-tab-height: 24px; + --jp-widgets-horizontal-tab-width: 144px; + --jp-widgets-horizontal-tab-top-border: 2px; + --jp-widgets-progress-thickness: 20px; + --jp-widgets-container-padding: 15px; + --jp-widgets-input-padding: 4px; + --jp-widgets-radio-item-height-adjustment: 8px; + --jp-widgets-radio-item-height: calc( var(--jp-widgets-inline-height) - var(--jp-widgets-radio-item-height-adjustment) ); + --jp-widgets-slider-track-thickness: 4px; + --jp-widgets-slider-border-width: var(--jp-widgets-border-width); + --jp-widgets-slider-handle-size: 16px; + --jp-widgets-slider-handle-border-color: var(--jp-border-color1); + --jp-widgets-slider-handle-background-color: var(--jp-layout-color1); + --jp-widgets-slider-active-handle-color: var(--jp-brand-color1); + --jp-widgets-menu-item-height: 24px; + --jp-widgets-dropdown-arrow: url(data:image/svg+xml;base64,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); + --jp-widgets-input-color: var(--jp-ui-font-color1); + --jp-widgets-input-background-color: var(--jp-layout-color1); + --jp-widgets-input-border-color: var(--jp-border-color1); + --jp-widgets-input-focus-border-color: var(--jp-brand-color2); + --jp-widgets-input-border-width: var(--jp-widgets-border-width); + --jp-widgets-disabled-opacity: 0.6; + --md-shadow-key-umbra-opacity: 0.2; + --md-shadow-key-penumbra-opacity: 0.14; + --md-shadow-ambient-shadow-opacity: 0.12; +} +.jupyter-widgets { + margin: var(--jp-widgets-margin); + box-sizing: border-box; + color: var(--jp-widgets-color); + overflow: visible; +} +.jp-Output-result > .jupyter-widgets { + margin-left: 0; + margin-right: 0; +} +.widget-inline-hbox, +.jupyter-widget-inline-hbox { + box-sizing: border-box; + display: flex; + flex-direction: row; + align-items: baseline; +} +.widget-inline-vbox, +.jupyter-widget-inline-vbox { + box-sizing: border-box; + display: flex; + flex-direction: column; + align-items: center; +} +.widget-box, +.jupyter-widget-box { + box-sizing: border-box; + display: flex; + margin: 0; + overflow: auto; +} +.widget-gridbox, +.jupyter-widget-gridbox { + box-sizing: border-box; + display: grid; + margin: 0; + overflow: auto; +} +.widget-hbox, +.jupyter-widget-hbox { + flex-direction: row; +} +.widget-vbox, +.jupyter-widget-vbox { + flex-direction: column; +} +.jupyter-widget-tagsinput { + display: flex; + flex-direction: row; + flex-wrap: wrap; + align-items: center; + overflow: auto; + cursor: text; +} +.jupyter-widget-tag { + padding-left: 10px; + padding-right: 10px; + padding-top: 0px; + padding-bottom: 0px; + display: inline-block; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + text-align: center; + font-size: var(--jp-widgets-font-size); + height: calc(var(--jp-widgets-inline-height) - 2px); + border: 0px solid; + line-height: calc(var(--jp-widgets-inline-height) - 2px); + box-shadow: none; + color: var(--jp-ui-font-color1); + background-color: var(--jp-layout-color2); + border-color: var(--jp-border-color2); + border: none; + user-select: none; + cursor: grab; + transition: margin-left 200ms; + margin: 1px 1px 1px 1px; +} +.jupyter-widget-tag.mod-active { + box-shadow: + 0 4px 5px 0 rgba(0, 0, 0, var(--md-shadow-key-penumbra-opacity)), + 0 1px 10px 0 rgba(0, 0, 0, var(--md-shadow-ambient-shadow-opacity)), + 0 2px 4px -1px rgba(0, 0, 0, var(--md-shadow-key-umbra-opacity)); + color: var(--jp-ui-font-color1); + background-color: var(--jp-layout-color3); +} +.jupyter-widget-colortag { + color: var(--jp-inverse-ui-font-color1); +} +.jupyter-widget-colortag.mod-active { + color: var(--jp-inverse-ui-font-color0); +} +.jupyter-widget-taginput { + color: var(--jp-ui-font-color0); + background-color: var(--jp-layout-color0); + cursor: text; + text-align: left; +} +.jupyter-widget-taginput:focus { + outline: none; +} +.jupyter-widget-tag-close { + margin-left: var(--jp-widgets-inline-margin); + padding: 2px 0px 2px 2px; +} +.jupyter-widget-tag-close:hover { + cursor: pointer; +} +.jupyter-widget-tag.mod-primary { + color: var(--jp-inverse-ui-font-color1); + background-color: var(--jp-brand-color1); +} +.jupyter-widget-tag.mod-primary.mod-active { + color: var(--jp-inverse-ui-font-color0); + background-color: var(--jp-brand-color0); +} +.jupyter-widget-tag.mod-success { + color: var(--jp-inverse-ui-font-color1); + background-color: var(--jp-success-color1); +} +.jupyter-widget-tag.mod-success.mod-active { + color: var(--jp-inverse-ui-font-color0); + background-color: var(--jp-success-color0); +} +.jupyter-widget-tag.mod-info { + color: var(--jp-inverse-ui-font-color1); + background-color: var(--jp-info-color1); +} +.jupyter-widget-tag.mod-info.mod-active { + color: var(--jp-inverse-ui-font-color0); + background-color: var(--jp-info-color0); +} +.jupyter-widget-tag.mod-warning { + color: var(--jp-inverse-ui-font-color1); + background-color: var(--jp-warn-color1); +} +.jupyter-widget-tag.mod-warning.mod-active { + color: var(--jp-inverse-ui-font-color0); + background-color: var(--jp-warn-color0); +} +.jupyter-widget-tag.mod-danger { + color: var(--jp-inverse-ui-font-color1); + background-color: var(--jp-error-color1); +} +.jupyter-widget-tag.mod-danger.mod-active { + color: var(--jp-inverse-ui-font-color0); + background-color: var(--jp-error-color0); +} +.jupyter-button { + padding-left: 10px; + padding-right: 10px; + padding-top: 0px; + padding-bottom: 0px; + display: inline-block; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + text-align: center; + font-size: var(--jp-widgets-font-size); + cursor: pointer; + height: var(--jp-widgets-inline-height); + border: 0px solid; + line-height: var(--jp-widgets-inline-height); + box-shadow: none; + color: var(--jp-ui-font-color1); + background-color: var(--jp-layout-color2); + border-color: var(--jp-border-color2); + border: none; + user-select: none; +} +.jupyter-button i.fa { + margin-right: var(--jp-widgets-inline-margin); + pointer-events: none; +} +.jupyter-button:empty:before { + content: "\200b"; +} +.jupyter-widgets.jupyter-button:disabled { + opacity: var(--jp-widgets-disabled-opacity); +} +.jupyter-button i.fa.center { + margin-right: 0; +} +.jupyter-button:hover:enabled, +.jupyter-button:focus:enabled { + box-shadow: + 0 2px 2px 0 rgba(0, 0, 0, var(--md-shadow-key-penumbra-opacity)), + 0 3px 1px -2px rgba(0, 0, 0, var(--md-shadow-key-umbra-opacity)), + 0 1px 5px 0 rgba(0, 0, 0, var(--md-shadow-ambient-shadow-opacity)); +} +.jupyter-button:active, +.jupyter-button.mod-active { + box-shadow: + 0 4px 5px 0 rgba(0, 0, 0, var(--md-shadow-key-penumbra-opacity)), + 0 1px 10px 0 rgba(0, 0, 0, var(--md-shadow-ambient-shadow-opacity)), + 0 2px 4px -1px rgba(0, 0, 0, var(--md-shadow-key-umbra-opacity)); + color: var(--jp-ui-font-color1); + background-color: var(--jp-layout-color3); +} +.jupyter-button:focus:enabled { + outline: 1px solid var(--jp-widgets-input-focus-border-color); +} +.jupyter-button.mod-primary { + color: var(--jp-ui-inverse-font-color1); + background-color: var(--jp-brand-color1); +} +.jupyter-button.mod-primary.mod-active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-brand-color0); +} +.jupyter-button.mod-primary:active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-brand-color0); +} +.jupyter-button.mod-success { + color: var(--jp-ui-inverse-font-color1); + background-color: var(--jp-success-color1); +} +.jupyter-button.mod-success.mod-active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-success-color0); +} +.jupyter-button.mod-success:active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-success-color0); +} +.jupyter-button.mod-info { + color: var(--jp-ui-inverse-font-color1); + background-color: var(--jp-info-color1); +} +.jupyter-button.mod-info.mod-active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-info-color0); +} +.jupyter-button.mod-info:active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-info-color0); +} +.jupyter-button.mod-warning { + color: var(--jp-ui-inverse-font-color1); + background-color: var(--jp-warn-color1); +} +.jupyter-button.mod-warning.mod-active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-warn-color0); +} +.jupyter-button.mod-warning:active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-warn-color0); +} +.jupyter-button.mod-danger { + color: var(--jp-ui-inverse-font-color1); + background-color: var(--jp-error-color1); +} +.jupyter-button.mod-danger.mod-active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-error-color0); +} +.jupyter-button.mod-danger:active { + color: var(--jp-ui-inverse-font-color0); + background-color: var(--jp-error-color0); +} +.widget-button, +.widget-toggle-button, +.widget-upload, +.jupyter-widget-button, +.jupyter-widget-toggle-button, +.jupyter-widget-upload { + width: var(--jp-widgets-inline-width-short); +} +.jupyter-widgets label { + margin-bottom: initial; +} +.widget-label-basic, +.jupyter-widget-label-basic { + color: var(--jp-widgets-label-color); + font-size: var(--jp-widgets-font-size); + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; + line-height: var(--jp-widgets-inline-height); +} +.widget-label, +.jupyter-widget-label { + color: var(--jp-widgets-label-color); + font-size: var(--jp-widgets-font-size); + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; + line-height: var(--jp-widgets-inline-height); +} +.widget-inline-hbox .widget-label, +.jupyter-widget-inline-hbox .jupyter-widget-label { + color: var(--jp-widgets-label-color); + text-align: right; + margin-right: calc(var(--jp-widgets-inline-margin) * 2); + width: var(--jp-widgets-inline-label-width); + flex-shrink: 0; +} +.widget-inline-vbox .widget-label, +.jupyter-widget-inline-vbox .jupyter-widget-label { + color: var(--jp-widgets-label-color); + text-align: center; + line-height: var(--jp-widgets-inline-height); +} +.widget-readout, +.jupyter-widget-readout { + color: var(--jp-widgets-readout-color); + font-size: var(--jp-widgets-font-size); + height: var(--jp-widgets-inline-height); + line-height: var(--jp-widgets-inline-height); + overflow: hidden; + white-space: nowrap; + text-align: center; +} +.widget-readout.overflow, +.jupyter-widget-readout.overflow { + -webkit-box-shadow: + 0 2px 2px 0 rgba(0, 0, 0, 0.2), + 0 3px 1px -2px rgba(0, 0, 0, 0.14), + 0 1px 5px 0 rgba(0, 0, 0, 0.12); + -moz-box-shadow: + 0 2px 2px 0 rgba(0, 0, 0, 0.2), + 0 3px 1px -2px rgba(0, 0, 0, 0.14), + 0 1px 5px 0 rgba(0, 0, 0, 0.12); + box-shadow: + 0 2px 2px 0 rgba(0, 0, 0, 0.2), + 0 3px 1px -2px rgba(0, 0, 0, 0.14), + 0 1px 5px 0 rgba(0, 0, 0, 0.12); +} +.widget-inline-hbox .widget-readout, +.jupyter-widget-inline-hbox .jupyter-widget-readout { + text-align: center; + max-width: var(--jp-widgets-inline-width-short); + min-width: var(--jp-widgets-inline-width-tiny); + margin-left: var(--jp-widgets-inline-margin); +} +.widget-inline-vbox .widget-readout, +.jupyter-widget-inline-vbox .jupyter-widget-readout { + margin-top: var(--jp-widgets-inline-margin); + width: inherit; +} +.widget-checkbox, +.jupyter-widget-checkbox { + width: var(--jp-widgets-inline-width); + height: var(--jp-widgets-inline-height); + line-height: var(--jp-widgets-inline-height); +} +.widget-checkbox input[type=checkbox], +.jupyter-widget-checkbox input[type=checkbox] { + margin: 0px calc(var(--jp-widgets-inline-margin) * 2) 0px 0px; + line-height: var(--jp-widgets-inline-height); + font-size: large; + flex-grow: 1; + flex-shrink: 0; + align-self: center; +} +.widget-valid, +.jupyter-widget-valid { + height: var(--jp-widgets-inline-height); + line-height: var(--jp-widgets-inline-height); + width: var(--jp-widgets-inline-width-short); + font-size: var(--jp-widgets-font-size); +} +.widget-valid i, +.jupyter-widget-valid i { + line-height: var(--jp-widgets-inline-height); + margin-right: var(--jp-widgets-inline-margin); + margin-left: var(--jp-widgets-inline-margin); +} +.widget-valid.mod-valid i, +.jupyter-widget-valid.mod-valid i { + color: green; +} +.widget-valid.mod-invalid i, +.jupyter-widget-valid.mod-invalid i { + color: red; +} +.widget-valid.mod-valid .widget-valid-readout, +.jupyter-widget-valid.mod-valid .jupyter-widget-valid-readout { + display: none; +} +.widget-textarea, +.widget-text, +.jupyter-widget-textarea, +.jupyter-widget-text { + width: var(--jp-widgets-inline-width); +} +.widget-text input[type=text], +.widget-text input[type=number], +.widget-text input[type=password], +.jupyter-widget-text input[type=text], +.jupyter-widget-text input[type=number], +.jupyter-widget-text input[type=password] { + height: var(--jp-widgets-inline-height); +} +.widget-text input[type=text]:disabled, +.widget-text input[type=number]:disabled, +.widget-text input[type=password]:disabled, +.widget-textarea textarea:disabled, +.jupyter-widget-text input[type=text]:disabled, +.jupyter-widget-text input[type=number]:disabled, +.jupyter-widget-text input[type=password]:disabled, +.jupyter-widget-textarea textarea:disabled { + opacity: var(--jp-widgets-disabled-opacity); +} +.widget-text input[type=text], +.widget-text input[type=number], +.widget-text input[type=password], +.widget-textarea textarea, +.jupyter-widget-text input[type=text], +.jupyter-widget-text input[type=number], +.jupyter-widget-text input[type=password], +.jupyter-widget-textarea textarea { + box-sizing: border-box; + border: var(--jp-widgets-input-border-width) solid var(--jp-widgets-input-border-color); + background-color: var(--jp-widgets-input-background-color); + color: var(--jp-widgets-input-color); + font-size: var(--jp-widgets-font-size); + flex-grow: 1; + min-width: 0; + flex-shrink: 1; + outline: none !important; +} +.widget-text input[type=text], +.widget-text input[type=password], +.widget-textarea textarea, +.jupyter-widget-text input[type=text], +.jupyter-widget-text input[type=password], +.jupyter-widget-textarea textarea { + padding: var(--jp-widgets-input-padding) calc(var(--jp-widgets-input-padding) * 2); +} +.widget-text input[type=number], +.jupyter-widget-text input[type=number] { + padding: var(--jp-widgets-input-padding) 0 var(--jp-widgets-input-padding) calc(var(--jp-widgets-input-padding) * 2); +} +.widget-textarea textarea, +.jupyter-widget-textarea textarea { + height: inherit; + width: inherit; +} +.widget-text input:focus, +.widget-textarea textarea:focus, +.jupyter-widget-text input:focus, +.jupyter-widget-textarea textarea:focus { + border-color: var(--jp-widgets-input-focus-border-color); +} +.widget-hslider, +.jupyter-widget-hslider { + width: var(--jp-widgets-inline-width); + height: var(--jp-widgets-inline-height); + line-height: var(--jp-widgets-inline-height); + align-items: center; +} +.widgets-slider .slider-container, +.jupyter-widgets-slider .slider-container { + overflow: visible; +} +.widget-hslider .slider-container, +.jupyter-widget-hslider .slider-container { + margin-left: calc(var(--jp-widgets-slider-handle-size) / 2 - 2 * var(--jp-widgets-slider-border-width)); + margin-right: calc(var(--jp-widgets-slider-handle-size) / 2 - 2 * var(--jp-widgets-slider-border-width)); + flex: 1 1 var(--jp-widgets-inline-width-short); +} +.widget-vbox .widget-label, +.jupyter-widget-vbox .jupyter-widget-label { + height: var(--jp-widgets-inline-height); + line-height: var(--jp-widgets-inline-height); +} +.widget-vslider, +.jupyter-widget-vslider { + height: var(--jp-widgets-vertical-height); + width: var(--jp-widgets-inline-width-tiny); +} +.widget-vslider .slider-container, +.jupyter-widget-vslider .slider-container { + flex: 1 1 var(--jp-widgets-inline-width-short); + margin-left: auto; + margin-right: auto; + margin-bottom: calc(var(--jp-widgets-slider-handle-size) / 2 - 2 * var(--jp-widgets-slider-border-width)); + margin-top: calc(var(--jp-widgets-slider-handle-size) / 2 - 2 * var(--jp-widgets-slider-border-width)); + display: flex; + flex-direction: column; +} +.progress-bar { + -webkit-transition: none; + -moz-transition: none; + -ms-transition: none; + -o-transition: none; + transition: none; +} +.progress-bar { + height: var(--jp-widgets-inline-height); +} +.progress-bar { + background-color: var(--jp-brand-color1); +} +.progress-bar-success { + background-color: var(--jp-success-color1); +} +.progress-bar-info { + background-color: var(--jp-info-color1); +} +.progress-bar-warning { + background-color: var(--jp-warn-color1); +} +.progress-bar-danger { + background-color: var(--jp-error-color1); +} +.progress { + background-color: var(--jp-layout-color2); + border: none; + box-shadow: none; +} +.widget-hprogress, +.jupyter-widget-hprogress { + height: var(--jp-widgets-inline-height); + line-height: var(--jp-widgets-inline-height); + width: var(--jp-widgets-inline-width); + align-items: center; +} +.widget-hprogress .progress, +.jupyter-widget-hprogress .progress { + flex-grow: 1; + margin-top: var(--jp-widgets-input-padding); + margin-bottom: var(--jp-widgets-input-padding); + align-self: stretch; + height: initial; +} +.widget-vprogress, +.jupyter-widget-vprogress { + height: var(--jp-widgets-vertical-height); + width: var(--jp-widgets-inline-width-tiny); +} +.widget-vprogress .progress, +.jupyter-widget-vprogress .progress { + flex-grow: 1; + width: var(--jp-widgets-progress-thickness); + margin-left: auto; + margin-right: auto; + margin-bottom: 0; +} +.widget-dropdown, +.jupyter-widget-dropdown { + height: var(--jp-widgets-inline-height); + width: var(--jp-widgets-inline-width); + line-height: var(--jp-widgets-inline-height); +} +.widget-dropdown > select, +.jupyter-widget-dropdown > select { + padding-right: 20px; + border: var(--jp-widgets-input-border-width) solid var(--jp-widgets-input-border-color); + border-radius: 0; + height: inherit; + flex: 1 1 var(--jp-widgets-inline-width-short); + min-width: 0; + box-sizing: border-box; + outline: none !important; + box-shadow: none; + background-color: var(--jp-widgets-input-background-color); + color: var(--jp-widgets-input-color); + font-size: var(--jp-widgets-font-size); + vertical-align: top; + padding-left: calc(var(--jp-widgets-input-padding) * 2); + appearance: none; + -webkit-appearance: none; + -moz-appearance: none; + background-repeat: no-repeat; + background-size: 20px; + background-position: right center; + background-image: var(--jp-widgets-dropdown-arrow); +} +.widget-dropdown > select:focus, +.jupyter-widget-dropdown > select:focus { + border-color: var(--jp-widgets-input-focus-border-color); +} +.widget-dropdown > select:disabled, +.jupyter-widget-dropdown > select:disabled { + opacity: var(--jp-widgets-disabled-opacity); +} +.widget-dropdown > select:-moz-focusring, +.jupyter-widget-dropdown > select:-moz-focusring { + color: transparent; + text-shadow: 0 0 0 #000; +} +.widget-select, +.jupyter-widget-select { + width: var(--jp-widgets-inline-width); + line-height: var(--jp-widgets-inline-height); + align-items: flex-start; +} +.widget-select > select, +.jupyter-widget-select > select { + border: var(--jp-widgets-input-border-width) solid var(--jp-widgets-input-border-color); + background-color: var(--jp-widgets-input-background-color); + color: var(--jp-widgets-input-color); + font-size: var(--jp-widgets-font-size); + flex: 1 1 var(--jp-widgets-inline-width-short); + outline: none !important; + overflow: auto; + height: inherit; + padding-top: 5px; +} +.widget-select > select:focus, +.jupyter-widget-select > select:focus { + border-color: var(--jp-widgets-input-focus-border-color); +} +.wiget-select > select > option, +.jupyter-wiget-select > select > option { + padding-left: var(--jp-widgets-input-padding); + line-height: var(--jp-widgets-inline-height); + padding-top: calc(var(--jp-widgets-inline-height) - var(--jp-widgets-font-size) / 2); + padding-bottom: calc(var(--jp-widgets-inline-height) - var(--jp-widgets-font-size) / 2); +} +.widget-toggle-buttons, +.jupyter-widget-toggle-buttons { + line-height: var(--jp-widgets-inline-height); +} +.widget-toggle-buttons .widget-toggle-button, +.jupyter-widget-toggle-buttons .jupyter-widget-toggle-button { + margin-left: var(--jp-widgets-margin); + margin-right: var(--jp-widgets-margin); +} +.widget-toggle-buttons .jupyter-button:disabled, +.jupyter-widget-toggle-buttons .jupyter-button:disabled { + opacity: var(--jp-widgets-disabled-opacity); +} +.widget-radio, +.jupyter-widget-radio { + width: var(--jp-widgets-inline-width); + line-height: var(--jp-widgets-inline-height); +} +.widget-radio-box, +.jupyter-widget-radio-box { + display: flex; + flex-direction: column; + align-items: stretch; + box-sizing: border-box; + flex-grow: 1; + margin-bottom: var(--jp-widgets-radio-item-height-adjustment); +} +.widget-radio-box-vertical, +.jupyter-widget-radio-box-vertical { + flex-direction: column; +} +.widget-radio-box-horizontal, +.jupyter-widget-radio-box-horizontal { + flex-direction: row; +} +.widget-radio-box label, +.jupyter-widget-radio-box label { + height: var(--jp-widgets-radio-item-height); + line-height: var(--jp-widgets-radio-item-height); + font-size: var(--jp-widgets-font-size); +} +.widget-radio-box-horizontal label, +.jupyter-widget-radio-box-horizontal label { + margin: 0 calc(var(--jp-widgets-input-padding) * 2) 0 0; +} +.widget-radio-box input, +.jupyter-widget-radio-box input { + height: var(--jp-widgets-radio-item-height); + line-height: var(--jp-widgets-radio-item-height); + margin: 0 calc(var(--jp-widgets-input-padding) * 2) 0 1px; + float: left; +} +.widget-colorpicker, +.jupyter-widget-colorpicker { + width: var(--jp-widgets-inline-width); + height: var(--jp-widgets-inline-height); + line-height: var(--jp-widgets-inline-height); +} +.widget-colorpicker > .widget-colorpicker-input, +.jupyter-widget-colorpicker > .jupyter-widget-colorpicker-input { + flex-grow: 1; + flex-shrink: 1; + min-width: var(--jp-widgets-inline-width-tiny); +} +.widget-colorpicker input[type=color], +.jupyter-widget-colorpicker input[type=color] { + width: var(--jp-widgets-inline-height); + height: var(--jp-widgets-inline-height); + padding: 0 2px; + background: var(--jp-widgets-input-background-color); + color: var(--jp-widgets-input-color); + border: var(--jp-widgets-input-border-width) solid var(--jp-widgets-input-border-color); + border-left: none; + flex-grow: 0; + flex-shrink: 0; + box-sizing: border-box; + align-self: stretch; + outline: none !important; +} +.widget-colorpicker.concise input[type=color], +.jupyter-widget-colorpicker.concise input[type=color] { + border-left: var(--jp-widgets-input-border-width) solid var(--jp-widgets-input-border-color); +} +.widget-colorpicker input[type=color]:focus, +.widget-colorpicker input[type=text]:focus, +.jupyter-widget-colorpicker input[type=color]:focus, +.jupyter-widget-colorpicker input[type=text]:focus { + border-color: var(--jp-widgets-input-focus-border-color); +} +.widget-colorpicker input[type=text], +.jupyter-widget-colorpicker input[type=text] { + flex-grow: 1; + outline: none !important; + height: var(--jp-widgets-inline-height); + line-height: var(--jp-widgets-inline-height); + background: var(--jp-widgets-input-background-color); + color: var(--jp-widgets-input-color); + border: var(--jp-widgets-input-border-width) solid var(--jp-widgets-input-border-color); + font-size: var(--jp-widgets-font-size); + padding: var(--jp-widgets-input-padding) calc(var(--jp-widgets-input-padding) * 2); + min-width: 0; + flex-shrink: 1; + box-sizing: border-box; +} +.widget-colorpicker input[type=text]:disabled, +.jupyter-widget-colorpicker input[type=text]:disabled { + opacity: var(--jp-widgets-disabled-opacity); +} +.widget-datepicker, +.jupyter-widget-datepicker { + width: var(--jp-widgets-inline-width); + height: var(--jp-widgets-inline-height); + line-height: var(--jp-widgets-inline-height); +} +.widget-datepicker input[type=date], +.jupyter-widget-datepicker input[type=date] { + flex-grow: 1; + flex-shrink: 1; + min-width: 0; + outline: none !important; + height: var(--jp-widgets-inline-height); + border: var(--jp-widgets-input-border-width) solid var(--jp-widgets-input-border-color); + background-color: var(--jp-widgets-input-background-color); + color: var(--jp-widgets-input-color); + font-size: var(--jp-widgets-font-size); + padding: var(--jp-widgets-input-padding) calc(var(--jp-widgets-input-padding) * 2); + box-sizing: border-box; +} +.widget-datepicker input[type=date]:focus, +.jupyter-widget-datepicker input[type=date]:focus { + border-color: var(--jp-widgets-input-focus-border-color); +} +.widget-datepicker input[type=date]:invalid, +.jupyter-widget-datepicker input[type=date]:invalid { + border-color: var(--jp-warn-color1); +} +.widget-datepicker input[type=date]:disabled, +.jupyter-widget-datepicker input[type=date]:disabled { + opacity: var(--jp-widgets-disabled-opacity); +} +.widget-play, +.jupyter-widget-play { + width: var(--jp-widgets-inline-width-short); + display: flex; + align-items: stretch; +} +.widget-play .jupyter-button, +.jupyter-widget-play .jupyter-button { + flex-grow: 1; + height: auto; +} +.widget-play .jupyter-button:disabled, +.jupyter-widget-play .jupyter-button:disabled { + opacity: var(--jp-widgets-disabled-opacity); +} +.jupyter-widgets.widget-tab, +.jupyter-widgets.jupyter-widget-tab { + display: flex; + flex-direction: column; +} +.jupyter-widgets.widget-tab > .p-TabBar, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar { + overflow-x: visible; + overflow-y: visible; +} +.jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar > .p-TabBar-content, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar > .lm-TabBar-content { + align-items: flex-end; + min-width: 0; + min-height: 0; +} +.jupyter-widgets.widget-tab > .widget-tab-contents, +.jupyter-widgets.jupyter-widget-tab > .widget-tab-contents { + width: 100%; + box-sizing: border-box; + margin: 0; + background: var(--jp-layout-color1); + color: var(--jp-ui-font-color1); + border: var(--jp-border-width) solid var(--jp-border-color1); + padding: var(--jp-widgets-container-padding); + flex-grow: 1; + overflow: auto; +} +.jupyter-widgets.widget-tab > .p-TabBar, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar { + font: + var(--jp-widgets-font-size) Helvetica, + Arial, + sans-serif; + min-height: calc(var(--jp-widgets-horizontal-tab-height) + var(--jp-border-width)); +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tab, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tab { + flex: 0 1 var(--jp-widgets-horizontal-tab-width); + min-width: 35px; + min-height: calc(var(--jp-widgets-horizontal-tab-height) + var(--jp-border-width)); + line-height: var(--jp-widgets-horizontal-tab-height); + margin-left: calc(-1 * var(--jp-border-width)); + padding: 0px 10px; + background: var(--jp-layout-color2); + color: var(--jp-ui-font-color2); + border: var(--jp-border-width) solid var(--jp-border-color1); + border-bottom: none; + position: relative; +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tab.lm-mod-current { + color: var(--jp-ui-font-color0); + background: var(--jp-layout-color1); + min-height: calc(var(--jp-widgets-horizontal-tab-height) + 2 * var(--jp-border-width)); + transform: translateY(var(--jp-border-width)); + overflow: visible; +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current:before, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current:before, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tab.lm-mod-current:before { + position: absolute; + top: calc(-1 * var(--jp-border-width)); + left: calc(-1 * var(--jp-border-width)); + content: ""; + height: var(--jp-widgets-horizontal-tab-top-border); + width: calc(100% + 2 * var(--jp-border-width)); + background: var(--jp-brand-color1); +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:first-child, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tab:first-child, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tab:first-child { + margin-left: 0; +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:hover:not(.p-mod-current), +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tab:hover:not(.p-mod-current), +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tab:hover:not(.lm-mod-current) { + background: var(--jp-layout-color1); + color: var(--jp-ui-font-color1); +} +.jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-mod-closable > .lm-TabBar-tabCloseIcon { + margin-left: 4px; +} +.jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon:before, +.jupyter-widgets.jupyter-widget-widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon:before, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-mod-closable > .lm-TabBar-tabCloseIcon:before { + font-family: FontAwesome; + content: "\f00d"; +} +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon, +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel, +.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tabIcon, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tabLabel, +.jupyter-widgets.jupyter-widget-tab > .p-TabBar .p-TabBar-tabCloseIcon, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tabIcon, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tabLabel, +.jupyter-widgets.jupyter-widget-tab > .lm-TabBar .lm-TabBar-tabCloseIcon { + line-height: var(--jp-widgets-horizontal-tab-height); +} +.jupyter-widget-Collapse { + display: flex; + flex-direction: column; + align-items: stretch; +} +.jupyter-widget-Collapse-header { + padding: var(--jp-widgets-input-padding); + cursor: pointer; + color: var(--jp-ui-font-color2); + background-color: var(--jp-layout-color2); + border: var(--jp-widgets-border-width) solid var(--jp-border-color1); + padding: calc(var(--jp-widgets-container-padding) * 2 / 3) var(--jp-widgets-container-padding); + font-weight: bold; +} +.jupyter-widget-Collapse-header:hover { + background-color: var(--jp-layout-color1); + color: var(--jp-ui-font-color1); +} +.jupyter-widget-Collapse-open > .jupyter-widget-Collapse-header { + background-color: var(--jp-layout-color1); + color: var(--jp-ui-font-color0); + cursor: default; + border-bottom: none; +} +.jupyter-widget-Collapse-contents { + padding: var(--jp-widgets-container-padding); + background-color: var(--jp-layout-color1); + color: var(--jp-ui-font-color1); + border-left: var(--jp-widgets-border-width) solid var(--jp-border-color1); + border-right: var(--jp-widgets-border-width) solid var(--jp-border-color1); + border-bottom: var(--jp-widgets-border-width) solid var(--jp-border-color1); + overflow: auto; +} +.jupyter-widget-Accordion { + display: flex; + flex-direction: column; + align-items: stretch; +} +.jupyter-widget-Accordion .jupyter-widget-Collapse { + margin-bottom: 0; +} +.jupyter-widget-Accordion .jupyter-widget-Collapse + .jupyter-widget-Collapse { + margin-top: 4px; +} +.widget-html, +.widget-htmlmath, +.jupyter-widget-html, +.jupyter-widget-htmlmath { + font-size: var(--jp-widgets-font-size); +} +.widget-html > .widget-html-content, +.widget-htmlmath > .widget-html-content, +.jupyter-widget-html > .jupyter-widget-html-content, +.jupyter-widget-htmlmath > .jupyter-widget-html-content { + align-self: stretch; + flex-grow: 1; + flex-shrink: 1; + line-height: var(--jp-widgets-inline-height); + position: relative; +} +.widget-image, +.jupyter-widget-image { + max-width: 100%; + height: auto; +} + +/* ../../node_modules/@lumino/widgets/style/widget.css */ +.lm-Widget { + box-sizing: border-box; + position: relative; +} +.lm-Widget.lm-mod-hidden { + display: none !important; +} + +/* ../../node_modules/@lumino/widgets/style/accordionpanel.css */ +.lm-AccordionPanel[data-orientation=horizontal] > .lm-AccordionPanel-title { + display: block; + transform-origin: top left; + transform: rotate(-90deg) translate(-100%); +} + +/* ../../node_modules/@lumino/widgets/style/commandpalette.css */ +.lm-CommandPalette { + display: flex; + flex-direction: column; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} +.lm-CommandPalette-search { + flex: 0 0 auto; +} +.lm-CommandPalette-content { + flex: 1 1 auto; + margin: 0; + padding: 0; + min-height: 0; + overflow: auto; + list-style-type: none; +} +.lm-CommandPalette-header { + overflow: hidden; + white-space: nowrap; + text-overflow: ellipsis; +} +.lm-CommandPalette-item { + display: flex; + flex-direction: row; +} +.lm-CommandPalette-itemIcon { + flex: 0 0 auto; +} +.lm-CommandPalette-itemContent { + flex: 1 1 auto; + overflow: hidden; +} +.lm-CommandPalette-itemShortcut { + flex: 0 0 auto; +} +.lm-CommandPalette-itemLabel { + overflow: hidden; + white-space: nowrap; + text-overflow: ellipsis; +} +.lm-close-icon { + border: 1px solid transparent; + background-color: transparent; + position: absolute; + z-index: 1; + right: 3%; + top: 0; + bottom: 0; + margin: auto; + padding: 7px 0; + display: none; + vertical-align: middle; + outline: 0; + cursor: pointer; +} +.lm-close-icon:after { + content: "X"; + display: block; + width: 15px; + height: 15px; + text-align: center; + color: #000; + font-weight: normal; + font-size: 12px; + cursor: pointer; +} + +/* ../../node_modules/@lumino/widgets/style/dockpanel.css */ +.lm-DockPanel { + z-index: 0; +} +.lm-DockPanel-widget { + z-index: 0; +} +.lm-DockPanel-tabBar { + z-index: 1; +} +.lm-DockPanel-handle { + z-index: 2; +} +.lm-DockPanel-handle.lm-mod-hidden { + display: none !important; +} +.lm-DockPanel-handle:after { + position: absolute; + top: 0; + left: 0; + width: 100%; + height: 100%; + content: ""; +} +.lm-DockPanel-handle[data-orientation=horizontal] { + cursor: ew-resize; +} +.lm-DockPanel-handle[data-orientation=vertical] { + cursor: ns-resize; +} +.lm-DockPanel-handle[data-orientation=horizontal]:after { + left: 50%; + min-width: 8px; + transform: translateX(-50%); +} +.lm-DockPanel-handle[data-orientation=vertical]:after { + top: 50%; + min-height: 8px; + transform: translateY(-50%); +} +.lm-DockPanel-overlay { + z-index: 3; + box-sizing: border-box; + pointer-events: none; +} +.lm-DockPanel-overlay.lm-mod-hidden { + display: none !important; +} + +/* ../../node_modules/@lumino/widgets/style/menu.css */ +.lm-Menu { + z-index: 10000; + position: absolute; + white-space: nowrap; + overflow-x: hidden; + overflow-y: auto; + outline: none; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} +.lm-Menu-content { + margin: 0; + padding: 0; + display: table; + list-style-type: none; +} +.lm-Menu-item { + display: table-row; +} +.lm-Menu-item.lm-mod-hidden, +.lm-Menu-item.lm-mod-collapsed { + display: none !important; +} +.lm-Menu-itemIcon, +.lm-Menu-itemSubmenuIcon { + display: table-cell; + text-align: center; +} +.lm-Menu-itemLabel { + display: table-cell; + text-align: left; +} +.lm-Menu-itemShortcut { + display: table-cell; + text-align: right; +} + +/* ../../node_modules/@lumino/widgets/style/menubar.css */ +.lm-MenuBar { + outline: none; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} +.lm-MenuBar-content { + margin: 0; + padding: 0; + display: flex; + flex-direction: row; + list-style-type: none; +} +.lm-MenuBar-item { + box-sizing: border-box; +} +.lm-MenuBar-itemIcon, +.lm-MenuBar-itemLabel { + display: inline-block; +} + +/* ../../node_modules/@lumino/widgets/style/scrollbar.css */ +.lm-ScrollBar { + display: flex; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} +.lm-ScrollBar[data-orientation=horizontal] { + flex-direction: row; +} +.lm-ScrollBar[data-orientation=vertical] { + flex-direction: column; +} +.lm-ScrollBar-button { + box-sizing: border-box; + flex: 0 0 auto; +} +.lm-ScrollBar-track { + box-sizing: border-box; + position: relative; + overflow: hidden; + flex: 1 1 auto; +} +.lm-ScrollBar-thumb { + box-sizing: border-box; + position: absolute; +} + +/* ../../node_modules/@lumino/widgets/style/splitpanel.css */ +.lm-SplitPanel-child { + z-index: 0; +} +.lm-SplitPanel-handle { + z-index: 1; +} +.lm-SplitPanel-handle.lm-mod-hidden { + display: none !important; +} +.lm-SplitPanel-handle:after { + position: absolute; + top: 0; + left: 0; + width: 100%; + height: 100%; + content: ""; +} +.lm-SplitPanel[data-orientation=horizontal] > .lm-SplitPanel-handle { + cursor: ew-resize; +} +.lm-SplitPanel[data-orientation=vertical] > .lm-SplitPanel-handle { + cursor: ns-resize; +} +.lm-SplitPanel[data-orientation=horizontal] > .lm-SplitPanel-handle:after { + left: 50%; + min-width: 8px; + transform: translateX(-50%); +} +.lm-SplitPanel[data-orientation=vertical] > .lm-SplitPanel-handle:after { + top: 50%; + min-height: 8px; + transform: translateY(-50%); +} + +/* ../../node_modules/@lumino/widgets/style/tabbar.css */ +.lm-TabBar { + display: flex; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} +.lm-TabBar[data-orientation=horizontal] { + flex-direction: row; + align-items: flex-end; +} +.lm-TabBar[data-orientation=vertical] { + flex-direction: column; + align-items: flex-end; +} +.lm-TabBar-content { + margin: 0; + padding: 0; + display: flex; + flex: 1 1 auto; + list-style-type: none; +} +.lm-TabBar[data-orientation=horizontal] > .lm-TabBar-content { + flex-direction: row; +} +.lm-TabBar[data-orientation=vertical] > .lm-TabBar-content { + flex-direction: column; +} +.lm-TabBar-tab { + display: flex; + flex-direction: row; + box-sizing: border-box; + overflow: hidden; + touch-action: none; +} +.lm-TabBar-tabIcon, +.lm-TabBar-tabCloseIcon { + flex: 0 0 auto; +} +.lm-TabBar-tabLabel { + flex: 1 1 auto; + overflow: hidden; + white-space: nowrap; +} +.lm-TabBar-tabInput { + user-select: all; + width: 100%; + box-sizing: border-box; +} +.lm-TabBar-tab.lm-mod-hidden { + display: none !important; +} +.lm-TabBar-addButton.lm-mod-hidden { + display: none !important; +} +.lm-TabBar.lm-mod-dragging .lm-TabBar-tab { + position: relative; +} +.lm-TabBar.lm-mod-dragging[data-orientation=horizontal] .lm-TabBar-tab { + left: 0; + transition: left 150ms ease; +} +.lm-TabBar.lm-mod-dragging[data-orientation=vertical] .lm-TabBar-tab { + top: 0; + transition: top 150ms ease; +} +.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging { + transition: none; +} +.lm-TabBar-tabLabel .lm-TabBar-tabInput { + user-select: all; + width: 100%; + box-sizing: border-box; + background: inherit; +} + +/* ../../node_modules/@lumino/widgets/style/tabpanel.css */ +.lm-TabPanel-tabBar { + z-index: 1; +} +.lm-TabPanel-stackedPanel { + z-index: 0; +} + +/* ../../node_modules/@lumino/widgets/style/index.css */ + +/* ../../node_modules/@jupyterlab/apputils/style/commandpalette.css */ +:root { + --jp-private-commandpalette-search-height: 28px; +} +.lm-CommandPalette { + padding-bottom: 0; + color: var(--jp-ui-font-color1); + background: var(--jp-layout-color1); + font-size: var(--jp-ui-font-size1); +} +.jp-ModalCommandPalette { + position: absolute; + z-index: 10000; + top: 38px; + left: 30%; + margin: 0; + padding: 4px; + width: 40%; + box-shadow: var(--jp-elevation-z4); + border-radius: 4px; + background: var(--jp-layout-color0); +} +.jp-ModalCommandPalette .lm-CommandPalette { + max-height: 40vh; +} +.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after { + display: none; +} +.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header { + display: none; +} +.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item { + margin-left: 4px; + margin-right: 4px; +} +.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item.lm-mod-disabled { + display: none; +} +.lm-CommandPalette-search { + padding: 4px; + background-color: var(--jp-layout-color1); + z-index: 2; +} +.lm-CommandPalette-wrapper { + overflow: overlay; + padding: 0 9px; + background-color: var(--jp-input-active-background); + height: 30px; + box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color); +} +.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper { + box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color), inset 0 0 0 3px var(--jp-input-active-box-shadow-color); +} +.jp-SearchIconGroup { + color: white; + background-color: var(--jp-brand-color1); + position: absolute; + top: 4px; + right: 4px; + padding: 5px 5px 1px; +} +.jp-SearchIconGroup svg { + height: 20px; + width: 20px; +} +.jp-SearchIconGroup .jp-icon3[fill] { + fill: var(--jp-layout-color0); +} +.lm-CommandPalette-input { + background: transparent; + width: calc(100% - 18px); + float: left; + border: none; + outline: none; + font-size: var(--jp-ui-font-size1); + color: var(--jp-ui-font-color0); + line-height: var(--jp-private-commandpalette-search-height); +} +.lm-CommandPalette-input::-webkit-input-placeholder, +.lm-CommandPalette-input::-moz-placeholder, +.lm-CommandPalette-input:-ms-input-placeholder { + color: var(--jp-ui-font-color2); + font-size: var(--jp-ui-font-size1); +} +.lm-CommandPalette-header:first-child { + margin-top: 0; +} +.lm-CommandPalette-header { + border-bottom: solid var(--jp-border-width) var(--jp-border-color2); + color: var(--jp-ui-font-color1); + cursor: pointer; + display: flex; + font-size: var(--jp-ui-font-size0); + font-weight: 600; + letter-spacing: 1px; + margin-top: 8px; + padding: 8px 0 8px 12px; + text-transform: uppercase; +} +.lm-CommandPalette-header.lm-mod-active { + background: var(--jp-layout-color2); +} +.lm-CommandPalette-header > mark { + background-color: transparent; + font-weight: bold; + color: var(--jp-ui-font-color1); +} +.lm-CommandPalette-item { + padding: 4px 12px 4px 4px; + color: var(--jp-ui-font-color1); + font-size: var(--jp-ui-font-size1); + font-weight: 400; + display: flex; +} +.lm-CommandPalette-item.lm-mod-disabled { + color: var(--jp-ui-font-color2); +} +.lm-CommandPalette-item.lm-mod-active { + color: var(--jp-ui-inverse-font-color1); + background: var(--jp-brand-color1); +} +.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark { + color: var(--jp-ui-inverse-font-color0); +} +.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] { + fill: var(--jp-layout-color0); +} +.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) { + color: var(--jp-ui-inverse-font-color1); + background: var(--jp-brand-color1); +} +.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) { + background: var(--jp-layout-color2); +} +.lm-CommandPalette-itemContent { + overflow: hidden; +} +.lm-CommandPalette-itemLabel > mark { + color: var(--jp-ui-font-color0); + background-color: transparent; + font-weight: bold; +} +.lm-CommandPalette-item.lm-mod-disabled mark { + color: var(--jp-ui-font-color2); +} +.lm-CommandPalette-item .lm-CommandPalette-itemIcon { + margin: 0 4px 0 0; + position: relative; + width: 16px; + top: 2px; + flex: 0 0 auto; +} +.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon { + opacity: 0.6; +} +.lm-CommandPalette-item .lm-CommandPalette-itemShortcut { + flex: 0 0 auto; +} +.lm-CommandPalette-itemCaption { + display: none; +} +.lm-CommandPalette-content { + background-color: var(--jp-layout-color1); +} +.lm-CommandPalette-content:empty::after { + content: "No results"; + margin: auto; + margin-top: 20px; + width: 100px; + display: block; + font-size: var(--jp-ui-font-size2); + font-family: var(--jp-ui-font-family); + font-weight: lighter; +} +.lm-CommandPalette-emptyMessage { + text-align: center; + margin-top: 24px; + line-height: 1.32; + padding: 0 8px; + color: var(--jp-content-font-color3); +} + +/* ../../node_modules/@jupyterlab/apputils/style/dialog.css */ +.jp-Dialog { + position: absolute; + z-index: 10000; + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + top: 0; + left: 0; + margin: 0; + padding: 0; + width: 100%; + height: 100%; + background: var(--jp-dialog-background); +} +.jp-Dialog-content { + display: flex; + flex-direction: column; + margin-left: auto; + margin-right: auto; + background: var(--jp-layout-color1); + padding: 24px 24px 12px; + min-width: 300px; + min-height: 150px; + max-width: 1000px; + max-height: 500px; + box-sizing: border-box; + box-shadow: var(--jp-elevation-z20); + word-wrap: break-word; + border-radius: var(--jp-border-radius); + font-size: var(--jp-ui-font-size1); + color: var(--jp-ui-font-color1); + resize: both; +} +.jp-Dialog-content.jp-Dialog-content-small { + max-width: 500px; +} +.jp-Dialog-button { + overflow: visible; +} +button.jp-Dialog-button:disabled { + opacity: 0.6; +} +button.jp-Dialog-button:focus { + outline: 1px solid var(--jp-brand-color1); + outline-offset: 4px; + -moz-outline-radius: 0; +} +button.jp-Dialog-button:focus::-moz-focus-inner { + border: 0; +} +button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus, +button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus, +button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus { + outline-offset: 4px; + -moz-outline-radius: 0; +} +button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus { + outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1)); +} +button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus { + outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1)); +} +button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus { + outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600, #757575)); +} +button.jp-Dialog-close-button { + padding: 0; + height: 100%; + min-width: unset; + min-height: unset; +} +.jp-Dialog-header { + display: flex; + justify-content: space-between; + flex: 0 0 auto; + padding-bottom: 12px; + font-size: var(--jp-ui-font-size3); + font-weight: 400; + color: var(--jp-ui-font-color1); +} +.jp-Dialog-body { + display: flex; + flex-direction: column; + flex: 1 1 auto; + font-size: var(--jp-ui-font-size1); + background: var(--jp-layout-color1); + color: var(--jp-ui-font-color1); + overflow: auto; +} +.jp-Dialog-footer { + display: flex; + flex-direction: row; + justify-content: flex-end; + align-items: center; + flex: 0 0 auto; + margin-left: -12px; + margin-right: -12px; + padding: 12px; +} +.jp-Dialog-checkbox { + padding-right: 5px; +} +.jp-Dialog-spacer { + flex: 1 1 auto; +} +.jp-Dialog-title { + overflow: hidden; + white-space: nowrap; + text-overflow: ellipsis; +} +.jp-Dialog-body > .jp-select-wrapper { + width: 100%; +} +.jp-Dialog-body > button { + padding: 0 16px; +} +.jp-Dialog-body > label { + line-height: 1.4; + color: var(--jp-ui-font-color0); +} +.jp-Dialog-button.jp-mod-styled:not(:last-child) { + margin-right: 12px; +} + +/* ../../node_modules/@jupyterlab/apputils/style/inputdialog.css */ +.jp-Input-Boolean-Dialog { + flex-direction: row-reverse; + align-items: end; + width: 100%; +} +.jp-Input-Boolean-Dialog > label { + flex: 1 1 auto; +} +.jp-InputDialog-inputWrapper { + display: flex; + align-items: baseline; +} +.jp-InputDialog-inputWrapper > input.jp-mod-styled:invalid { + border-color: var(--jp-error-color0); + background: var(--jp-error-color3); +} +.jp-InputDialog-inputWrapper > input[required].jp-mod-styled:invalid:placeholder-shown { + border-color: unset; + background: unset; +} + +/* ../../node_modules/@jupyterlab/apputils/style/mainareawidget.css */ +.jp-MainAreaWidget > :focus { + outline: none; +} +.jp-MainAreaWidget .jp-MainAreaWidget-error { + padding: 6px; +} +.jp-MainAreaWidget .jp-MainAreaWidget-error > pre { + width: auto; + padding: 10px; + background: var(--jp-error-color3); + border: var(--jp-border-width) solid var(--jp-error-color1); + border-radius: var(--jp-border-radius); + color: var(--jp-ui-font-color1); + font-size: var(--jp-ui-font-size1); + white-space: pre-wrap; + word-wrap: break-word; +} + +/* ../../node_modules/@jupyterlab/apputils/style/materialcolors.css */ +:root { + --md-red-50: #ffebee; + --md-red-100: #ffcdd2; + --md-red-200: #ef9a9a; + --md-red-300: #e57373; + --md-red-400: #ef5350; + --md-red-500: #f44336; + --md-red-600: #e53935; + --md-red-700: #d32f2f; + --md-red-800: #c62828; + --md-red-900: #b71c1c; + --md-red-A100: #ff8a80; + --md-red-A200: #ff5252; + --md-red-A400: #ff1744; + --md-red-A700: #d50000; + --md-pink-50: #fce4ec; + --md-pink-100: #f8bbd0; + --md-pink-200: #f48fb1; + --md-pink-300: #f06292; + --md-pink-400: #ec407a; + --md-pink-500: #e91e63; + --md-pink-600: #d81b60; + --md-pink-700: #c2185b; + --md-pink-800: #ad1457; + --md-pink-900: #880e4f; + --md-pink-A100: #ff80ab; + --md-pink-A200: #ff4081; + --md-pink-A400: #f50057; + --md-pink-A700: #c51162; + --md-purple-50: #f3e5f5; + --md-purple-100: #e1bee7; + --md-purple-200: #ce93d8; + --md-purple-300: #ba68c8; + --md-purple-400: #ab47bc; + --md-purple-500: #9c27b0; + --md-purple-600: #8e24aa; + --md-purple-700: #7b1fa2; + --md-purple-800: #6a1b9a; + --md-purple-900: #4a148c; + --md-purple-A100: #ea80fc; + --md-purple-A200: #e040fb; + --md-purple-A400: #d500f9; + --md-purple-A700: #a0f; + --md-deep-purple-50: #ede7f6; + --md-deep-purple-100: #d1c4e9; + --md-deep-purple-200: #b39ddb; + --md-deep-purple-300: #9575cd; + --md-deep-purple-400: #7e57c2; + --md-deep-purple-500: #673ab7; + --md-deep-purple-600: #5e35b1; + --md-deep-purple-700: #512da8; + --md-deep-purple-800: #4527a0; + --md-deep-purple-900: #311b92; + --md-deep-purple-A100: #b388ff; + --md-deep-purple-A200: #7c4dff; + --md-deep-purple-A400: #651fff; + --md-deep-purple-A700: #6200ea; + --md-indigo-50: #e8eaf6; + --md-indigo-100: #c5cae9; + --md-indigo-200: #9fa8da; + --md-indigo-300: #7986cb; + --md-indigo-400: #5c6bc0; + --md-indigo-500: #3f51b5; + --md-indigo-600: #3949ab; + --md-indigo-700: #303f9f; + --md-indigo-800: #283593; + --md-indigo-900: #1a237e; + --md-indigo-A100: #8c9eff; + --md-indigo-A200: #536dfe; + --md-indigo-A400: #3d5afe; + --md-indigo-A700: #304ffe; + --md-blue-50: #e3f2fd; + --md-blue-100: #bbdefb; + --md-blue-200: #90caf9; + --md-blue-300: #64b5f6; + --md-blue-400: #42a5f5; + --md-blue-500: #2196f3; + --md-blue-600: #1e88e5; + --md-blue-700: #1976d2; + --md-blue-800: #1565c0; + --md-blue-900: #0d47a1; + --md-blue-A100: #82b1ff; + --md-blue-A200: #448aff; + --md-blue-A400: #2979ff; + --md-blue-A700: #2962ff; + --md-light-blue-50: #e1f5fe; + --md-light-blue-100: #b3e5fc; + --md-light-blue-200: #81d4fa; + --md-light-blue-300: #4fc3f7; + --md-light-blue-400: #29b6f6; + --md-light-blue-500: #03a9f4; + --md-light-blue-600: #039be5; + --md-light-blue-700: #0288d1; + --md-light-blue-800: #0277bd; + --md-light-blue-900: #01579b; + --md-light-blue-A100: #80d8ff; + --md-light-blue-A200: #40c4ff; + --md-light-blue-A400: #00b0ff; + --md-light-blue-A700: #0091ea; + --md-cyan-50: #e0f7fa; + --md-cyan-100: #b2ebf2; + --md-cyan-200: #80deea; + --md-cyan-300: #4dd0e1; + --md-cyan-400: #26c6da; + --md-cyan-500: #00bcd4; + --md-cyan-600: #00acc1; + --md-cyan-700: #0097a7; + --md-cyan-800: #00838f; + --md-cyan-900: #006064; + --md-cyan-A100: #84ffff; + --md-cyan-A200: #18ffff; + --md-cyan-A400: #00e5ff; + --md-cyan-A700: #00b8d4; + --md-teal-50: #e0f2f1; + --md-teal-100: #b2dfdb; + --md-teal-200: #80cbc4; + --md-teal-300: #4db6ac; + --md-teal-400: #26a69a; + --md-teal-500: #009688; + --md-teal-600: #00897b; + --md-teal-700: #00796b; + --md-teal-800: #00695c; + --md-teal-900: #004d40; + --md-teal-A100: #a7ffeb; + --md-teal-A200: #64ffda; + --md-teal-A400: #1de9b6; + --md-teal-A700: #00bfa5; + --md-green-50: #e8f5e9; + --md-green-100: #c8e6c9; + --md-green-200: #a5d6a7; + --md-green-300: #81c784; + --md-green-400: #66bb6a; + --md-green-500: #4caf50; + --md-green-600: #43a047; + --md-green-700: #388e3c; + --md-green-800: #2e7d32; + --md-green-900: #1b5e20; + --md-green-A100: #b9f6ca; + --md-green-A200: #69f0ae; + --md-green-A400: #00e676; + --md-green-A700: #00c853; + --md-light-green-50: #f1f8e9; + --md-light-green-100: #dcedc8; + --md-light-green-200: #c5e1a5; + --md-light-green-300: #aed581; + --md-light-green-400: #9ccc65; + --md-light-green-500: #8bc34a; + --md-light-green-600: #7cb342; + --md-light-green-700: #689f38; + --md-light-green-800: #558b2f; + --md-light-green-900: #33691e; + --md-light-green-A100: #ccff90; + --md-light-green-A200: #b2ff59; + --md-light-green-A400: #76ff03; + --md-light-green-A700: #64dd17; + --md-lime-50: #f9fbe7; + --md-lime-100: #f0f4c3; + --md-lime-200: #e6ee9c; + --md-lime-300: #dce775; + --md-lime-400: #d4e157; + --md-lime-500: #cddc39; + --md-lime-600: #c0ca33; + --md-lime-700: #afb42b; + --md-lime-800: #9e9d24; + --md-lime-900: #827717; + --md-lime-A100: #f4ff81; + --md-lime-A200: #eeff41; + --md-lime-A400: #c6ff00; + --md-lime-A700: #aeea00; + --md-yellow-50: #fffde7; + --md-yellow-100: #fff9c4; + --md-yellow-200: #fff59d; + --md-yellow-300: #fff176; + --md-yellow-400: #ffee58; + --md-yellow-500: #ffeb3b; + --md-yellow-600: #fdd835; + --md-yellow-700: #fbc02d; + --md-yellow-800: #f9a825; + --md-yellow-900: #f57f17; + --md-yellow-A100: #ffff8d; + --md-yellow-A200: #ff0; + --md-yellow-A400: #ffea00; + --md-yellow-A700: #ffd600; + --md-amber-50: #fff8e1; + --md-amber-100: #ffecb3; + --md-amber-200: #ffe082; + --md-amber-300: #ffd54f; + --md-amber-400: #ffca28; + --md-amber-500: #ffc107; + --md-amber-600: #ffb300; + --md-amber-700: #ffa000; + --md-amber-800: #ff8f00; + --md-amber-900: #ff6f00; + --md-amber-A100: #ffe57f; + --md-amber-A200: #ffd740; + --md-amber-A400: #ffc400; + --md-amber-A700: #ffab00; + --md-orange-50: #fff3e0; + --md-orange-100: #ffe0b2; + --md-orange-200: #ffcc80; + --md-orange-300: #ffb74d; + --md-orange-400: #ffa726; + --md-orange-500: #ff9800; + --md-orange-600: #fb8c00; + --md-orange-700: #f57c00; + --md-orange-800: #ef6c00; + --md-orange-900: #e65100; + --md-orange-A100: #ffd180; + --md-orange-A200: #ffab40; + --md-orange-A400: #ff9100; + --md-orange-A700: #ff6d00; + --md-deep-orange-50: #fbe9e7; + --md-deep-orange-100: #ffccbc; + --md-deep-orange-200: #ffab91; + --md-deep-orange-300: #ff8a65; + --md-deep-orange-400: #ff7043; + --md-deep-orange-500: #ff5722; + --md-deep-orange-600: #f4511e; + --md-deep-orange-700: #e64a19; + --md-deep-orange-800: #d84315; + --md-deep-orange-900: #bf360c; + --md-deep-orange-A100: #ff9e80; + --md-deep-orange-A200: #ff6e40; + --md-deep-orange-A400: #ff3d00; + --md-deep-orange-A700: #dd2c00; + --md-brown-50: #efebe9; + --md-brown-100: #d7ccc8; + --md-brown-200: #bcaaa4; + --md-brown-300: #a1887f; + --md-brown-400: #8d6e63; + --md-brown-500: #795548; + --md-brown-600: #6d4c41; + --md-brown-700: #5d4037; + --md-brown-800: #4e342e; + --md-brown-900: #3e2723; + --md-grey-50: #fafafa; + --md-grey-100: #f5f5f5; + --md-grey-200: #eee; + --md-grey-300: #e0e0e0; + --md-grey-400: #bdbdbd; + --md-grey-500: #9e9e9e; + --md-grey-600: #757575; + --md-grey-700: #616161; + --md-grey-800: #424242; + --md-grey-900: #212121; + --md-blue-grey-50: #eceff1; + --md-blue-grey-100: #cfd8dc; + --md-blue-grey-200: #b0bec5; + --md-blue-grey-300: #90a4ae; + --md-blue-grey-400: #78909c; + --md-blue-grey-500: #607d8b; + --md-blue-grey-600: #546e7a; + --md-blue-grey-700: #455a64; + --md-blue-grey-800: #37474f; + --md-blue-grey-900: #263238; +} + +/* ../../node_modules/@jupyterlab/apputils/style/toolbar.css */ +.jp-Toolbar-item.jp-Toolbar-kernelStatus { + display: inline-block; + width: 32px; + background-repeat: no-repeat; + background-position: center; + background-size: 16px; +} + +/* ../../node_modules/@jupyterlab/apputils/style/base.css */ + +/* ../../node_modules/@jupyterlab/rendermime/style/base.css */ +:root { + --jp-private-code-span-padding: calc( (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2 ); +} +.jp-RenderedText { + text-align: left; + padding-left: var(--jp-code-padding); + line-height: var(--jp-code-line-height); + font-family: var(--jp-code-font-family); +} +.jp-RenderedText pre, +.jp-RenderedJavaScript pre, +.jp-RenderedHTMLCommon pre { + color: var(--jp-content-font-color1); + font-size: var(--jp-code-font-size); + border: none; + margin: 0; + padding: 0; +} +.jp-RenderedText pre a[href]:link { + text-decoration: none; + color: var(--jp-content-link-color); +} +.jp-RenderedText pre a[href]:hover { + text-decoration: underline; + color: var(--jp-content-link-hover-color, var(--jp-content-link-color)); +} +.jp-RenderedText pre a[href]:visited { + text-decoration: none; + color: var(--jp-content-link-visited-color, var(--jp-content-link-color)); +} +.jp-RenderedText pre .ansi-black-fg { + color: #3e424d; +} +.jp-RenderedText pre .ansi-red-fg { + color: #e75c58; +} +.jp-RenderedText pre .ansi-green-fg { + color: #00a250; +} +.jp-RenderedText pre .ansi-yellow-fg { + color: #ddb62b; +} +.jp-RenderedText pre .ansi-blue-fg { + color: #208ffb; +} +.jp-RenderedText pre .ansi-magenta-fg { + color: #d160c4; +} +.jp-RenderedText pre .ansi-cyan-fg { + color: #60c6c8; +} +.jp-RenderedText pre .ansi-white-fg { + color: #c5c1b4; +} +.jp-RenderedText pre .ansi-black-bg { + background-color: #3e424d; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-red-bg { + background-color: #e75c58; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-green-bg { + background-color: #00a250; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-yellow-bg { + background-color: #ddb62b; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-blue-bg { + background-color: #208ffb; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-magenta-bg { + background-color: #d160c4; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-cyan-bg { + background-color: #60c6c8; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-white-bg { + background-color: #c5c1b4; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-black-intense-fg { + color: #282c36; +} +.jp-RenderedText pre .ansi-red-intense-fg { + color: #b22b31; +} +.jp-RenderedText pre .ansi-green-intense-fg { + color: #007427; +} +.jp-RenderedText pre .ansi-yellow-intense-fg { + color: #b27d12; +} +.jp-RenderedText pre .ansi-blue-intense-fg { + color: #0065ca; +} +.jp-RenderedText pre .ansi-magenta-intense-fg { + color: #a03196; +} +.jp-RenderedText pre .ansi-cyan-intense-fg { + color: #258f8f; +} +.jp-RenderedText pre .ansi-white-intense-fg { + color: #a1a6b2; +} +.jp-RenderedText pre .ansi-black-intense-bg { + background-color: #282c36; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-red-intense-bg { + background-color: #b22b31; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-green-intense-bg { + background-color: #007427; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-yellow-intense-bg { + background-color: #b27d12; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-blue-intense-bg { + background-color: #0065ca; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-magenta-intense-bg { + background-color: #a03196; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-cyan-intense-bg { + background-color: #258f8f; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-white-intense-bg { + background-color: #a1a6b2; + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-default-inverse-fg { + color: var(--jp-ui-inverse-font-color0); +} +.jp-RenderedText pre .ansi-default-inverse-bg { + background-color: var(--jp-inverse-layout-color0); + padding: var(--jp-private-code-span-padding) 0; +} +.jp-RenderedText pre .ansi-bold { + font-weight: bold; +} +.jp-RenderedText pre .ansi-underline { + text-decoration: underline; +} +.jp-RenderedText[data-mime-type="application/vnd.jupyter.stderr"] { + background: var(--jp-rendermime-error-background); + padding-top: var(--jp-code-padding); +} +.jp-RenderedLatex { + color: var(--jp-content-font-color1); + font-size: var(--jp-content-font-size1); + line-height: var(--jp-content-line-height); +} +.jp-OutputArea-output.jp-RenderedLatex { + padding: var(--jp-code-padding); + text-align: left; +} +.jp-RenderedHTMLCommon { + color: var(--jp-content-font-color1); + font-family: var(--jp-content-font-family); + font-size: var(--jp-content-font-size1); + line-height: var(--jp-content-line-height); + padding-right: 20px; +} +.jp-RenderedHTMLCommon em { + font-style: italic; +} +.jp-RenderedHTMLCommon strong { + font-weight: bold; +} +.jp-RenderedHTMLCommon u { + text-decoration: underline; +} +.jp-RenderedHTMLCommon a:link { + text-decoration: none; + color: var(--jp-content-link-color); +} +.jp-RenderedHTMLCommon a:hover { + text-decoration: underline; + color: var(--jp-content-link-hover-color, var(--jp-content-link-color)); +} +.jp-RenderedHTMLCommon a:visited { + text-decoration: none; + color: var(--jp-content-link-visited-color, var(--jp-content-link-color)); +} +.jp-RenderedHTMLCommon h1, +.jp-RenderedHTMLCommon h2, +.jp-RenderedHTMLCommon h3, +.jp-RenderedHTMLCommon h4, +.jp-RenderedHTMLCommon h5, +.jp-RenderedHTMLCommon h6 { + line-height: var(--jp-content-heading-line-height); + font-weight: var(--jp-content-heading-font-weight); + font-style: normal; + margin: var(--jp-content-heading-margin-top) 0 var(--jp-content-heading-margin-bottom) 0; + scroll-margin-top: var(--jp-content-heading-margin-top); +} +.jp-RenderedHTMLCommon h1:first-child, +.jp-RenderedHTMLCommon h2:first-child, +.jp-RenderedHTMLCommon h3:first-child, +.jp-RenderedHTMLCommon h4:first-child, +.jp-RenderedHTMLCommon h5:first-child, +.jp-RenderedHTMLCommon h6:first-child { + margin-top: calc(0.5 * var(--jp-content-heading-margin-top)); + scroll-margin-top: calc(0.5 * var(--jp-content-heading-margin-top)); +} +.jp-RenderedHTMLCommon h1:last-child, +.jp-RenderedHTMLCommon h2:last-child, +.jp-RenderedHTMLCommon h3:last-child, +.jp-RenderedHTMLCommon h4:last-child, +.jp-RenderedHTMLCommon h5:last-child, +.jp-RenderedHTMLCommon h6:last-child { + margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom)); +} +.jp-RenderedHTMLCommon h1 { + font-size: var(--jp-content-font-size5); +} +.jp-RenderedHTMLCommon h2 { + font-size: var(--jp-content-font-size4); +} +.jp-RenderedHTMLCommon h3 { + font-size: var(--jp-content-font-size3); +} +.jp-RenderedHTMLCommon h4 { + font-size: var(--jp-content-font-size2); +} +.jp-RenderedHTMLCommon h5 { + font-size: var(--jp-content-font-size1); +} +.jp-RenderedHTMLCommon h6 { + font-size: var(--jp-content-font-size0); +} +.jp-RenderedHTMLCommon ul:not(.list-inline), +.jp-RenderedHTMLCommon ol:not(.list-inline) { + padding-left: 2em; +} +.jp-RenderedHTMLCommon ul { + list-style: disc; +} +.jp-RenderedHTMLCommon ul ul { + list-style: square; +} +.jp-RenderedHTMLCommon ul ul ul { + list-style: circle; +} +.jp-RenderedHTMLCommon ol { + list-style: decimal; +} +.jp-RenderedHTMLCommon ol ol { + list-style: upper-alpha; +} +.jp-RenderedHTMLCommon ol ol ol { + list-style: lower-alpha; +} +.jp-RenderedHTMLCommon ol ol ol ol { + list-style: lower-roman; +} +.jp-RenderedHTMLCommon ol ol ol ol ol { + list-style: decimal; +} +.jp-RenderedHTMLCommon ol, +.jp-RenderedHTMLCommon ul { + margin-bottom: 1em; +} +.jp-RenderedHTMLCommon ul ul, +.jp-RenderedHTMLCommon ul ol, +.jp-RenderedHTMLCommon ol ul, +.jp-RenderedHTMLCommon ol ol { + margin-bottom: 0; +} +.jp-RenderedHTMLCommon hr { + color: var(--jp-border-color2); + background-color: var(--jp-border-color1); + margin-top: 1em; + margin-bottom: 1em; +} +.jp-RenderedHTMLCommon > pre { + margin: 1.5em 2em; +} +.jp-RenderedHTMLCommon pre, +.jp-RenderedHTMLCommon code { + border: 0; + background-color: var(--jp-layout-color0); + color: var(--jp-content-font-color1); + font-family: var(--jp-code-font-family); + font-size: inherit; + line-height: var(--jp-code-line-height); + padding: 0; + white-space: pre-wrap; +} +.jp-RenderedHTMLCommon :not(pre) > code { + background-color: var(--jp-layout-color2); + padding: 1px 5px; +} +.jp-RenderedHTMLCommon table { + border-collapse: collapse; + border-spacing: 0; + border: none; + color: var(--jp-ui-font-color1); + font-size: var(--jp-ui-font-size1); + table-layout: fixed; + margin-left: auto; + margin-bottom: 1em; + margin-right: auto; +} +.jp-RenderedHTMLCommon thead { + border-bottom: var(--jp-border-width) solid var(--jp-border-color1); + vertical-align: bottom; +} +.jp-RenderedHTMLCommon td, +.jp-RenderedHTMLCommon th, +.jp-RenderedHTMLCommon tr { + vertical-align: middle; + padding: 0.5em; + line-height: normal; + white-space: normal; + max-width: none; + border: none; +} +.jp-RenderedMarkdown.jp-RenderedHTMLCommon td, +.jp-RenderedMarkdown.jp-RenderedHTMLCommon th { + max-width: none; +} +:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td, +:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th, +:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr { + text-align: right; +} +.jp-RenderedHTMLCommon th { + font-weight: bold; +} +.jp-RenderedHTMLCommon tbody tr:nth-child(odd) { + background: var(--jp-layout-color0); +} +.jp-RenderedHTMLCommon tbody tr:nth-child(even) { + background: var(--jp-rendermime-table-row-background); +} +.jp-RenderedHTMLCommon tbody tr:hover { + background: var(--jp-rendermime-table-row-hover-background); +} +.jp-RenderedHTMLCommon p { + text-align: left; + margin: 0; + margin-bottom: 1em; +} +.jp-RenderedHTMLCommon img { + -moz-force-broken-image-icon: 1; +} +.jp-RenderedHTMLCommon > img { + display: block; + margin-left: 0; + margin-right: 0; + margin-bottom: 1em; +} +[data-jp-theme-light=false] .jp-RenderedImage img.jp-needs-light-background { + background-color: var(--jp-inverse-layout-color1); +} +[data-jp-theme-light=true] .jp-RenderedImage img.jp-needs-dark-background { + background-color: var(--jp-inverse-layout-color1); +} +.jp-RenderedHTMLCommon img, +.jp-RenderedImage img, +.jp-RenderedHTMLCommon svg, +.jp-RenderedSVG svg { + max-width: 100%; + height: auto; +} +.jp-RenderedHTMLCommon img.jp-mod-unconfined, +.jp-RenderedImage img.jp-mod-unconfined, +.jp-RenderedHTMLCommon svg.jp-mod-unconfined, +.jp-RenderedSVG svg.jp-mod-unconfined { + max-width: none; +} +.jp-RenderedHTMLCommon .alert { + padding: var(--jp-notebook-padding); + border: var(--jp-border-width) solid transparent; + border-radius: var(--jp-border-radius); + margin-bottom: 1em; +} +.jp-RenderedHTMLCommon .alert-info { + color: var(--jp-info-color0); + background-color: var(--jp-info-color3); + border-color: var(--jp-info-color2); +} +.jp-RenderedHTMLCommon .alert-info hr { + border-color: var(--jp-info-color3); +} +.jp-RenderedHTMLCommon .alert-info > p:last-child, +.jp-RenderedHTMLCommon .alert-info > ul:last-child { + margin-bottom: 0; +} +.jp-RenderedHTMLCommon .alert-warning { + color: var(--jp-warn-color0); + background-color: var(--jp-warn-color3); + border-color: var(--jp-warn-color2); +} +.jp-RenderedHTMLCommon .alert-warning hr { + border-color: var(--jp-warn-color3); +} +.jp-RenderedHTMLCommon .alert-warning > p:last-child, +.jp-RenderedHTMLCommon .alert-warning > ul:last-child { + margin-bottom: 0; +} +.jp-RenderedHTMLCommon .alert-success { + color: var(--jp-success-color0); + background-color: var(--jp-success-color3); + border-color: var(--jp-success-color2); +} +.jp-RenderedHTMLCommon .alert-success hr { + border-color: var(--jp-success-color3); +} +.jp-RenderedHTMLCommon .alert-success > p:last-child, +.jp-RenderedHTMLCommon .alert-success > ul:last-child { + margin-bottom: 0; +} +.jp-RenderedHTMLCommon .alert-danger { + color: var(--jp-error-color0); + background-color: var(--jp-error-color3); + border-color: var(--jp-error-color2); +} +.jp-RenderedHTMLCommon .alert-danger hr { + border-color: var(--jp-error-color3); +} +.jp-RenderedHTMLCommon .alert-danger > p:last-child, +.jp-RenderedHTMLCommon .alert-danger > ul:last-child { + margin-bottom: 0; +} +.jp-RenderedHTMLCommon blockquote { + margin: 1em 2em; + padding: 0 1em; + border-left: 5px solid var(--jp-border-color2); +} +a.jp-InternalAnchorLink { + visibility: hidden; + margin-left: 8px; + color: var(--md-blue-800, #1565c0); +} +h1:hover .jp-InternalAnchorLink, +h2:hover .jp-InternalAnchorLink, +h3:hover .jp-InternalAnchorLink, +h4:hover .jp-InternalAnchorLink, +h5:hover .jp-InternalAnchorLink, +h6:hover .jp-InternalAnchorLink { + visibility: visible; +} +.jp-RenderedHTMLCommon kbd { + background-color: var(--jp-rendermime-table-row-background); + border: 1px solid var(--jp-border-color0); + border-bottom-color: var(--jp-border-color2); + border-radius: 3px; + box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25); + display: inline-block; + font-size: var(--jp-ui-font-size0); + line-height: 1em; + padding: 0.2em 0.5em; +} +.jp-RenderedHTMLCommon > *:last-child { + margin-bottom: 0.5em; +} + +/* src/index.css */ +.thebe-output-busy-spinner-alt { + border: 2px solid #f3f3f3; + border-top: 2px solid #3498db; + border-radius: 50%; + width: 30px; + height: 30px; + -webkit-animation: thebeoutputspin 2s linear infinite; + animation: thebeoutputspin 1s linear infinite; +} +.thebe-output-busy-spinner { + height: 28px; + width: 28px; + border-radius: 50%; + background-color: rgba(250, 250, 250, 0.9); + z-index: 9999; + display: block; +} +.thebe-output-busy-spinner::after { + content: ""; + display: block; + position: relative; + top: 2px; + left: 2px; + width: 20px; + height: 20px; + border-style: solid; + border-color: #3498db; + border-top-color: transparent; + border-width: 2px; + border-radius: 50%; + -webkit-animation: thebeoutputspin 0.8s linear infinite; + animation: thebeoutputspin 0.8s linear infinite; +} +@-webkit-keyframes thebeoutputspin { + from { + -webkit-transform: rotate(0deg); + } + to { + -webkit-transform: rotate(360deg); + } +} +@keyframes thebeoutputspin { + from { + transform: rotate(0deg); + } + to { + transform: rotate(360deg); + } +} +.thebe-ipywidgets-placeholder { + display: flex; + flex-direction: column; + align-items: center; + font-size: 95%; +} +.thebe-ipywidgets-placeholder > pre { + font-size: 80%; + font-family: monospace; + margin: 8px 16px; +} +.thebe-output .jp-OutputArea-child > .lm-Widget { + overflow: auto; +} diff --git a/thebe-core.min.js b/thebe-core.min.js new file mode 100644 index 00000000..16d6ab3a --- /dev/null +++ b/thebe-core.min.js @@ -0,0 +1,3 @@ +/*! For license information please see thebe-core.min.js.LICENSE.txt */ +(()=>{var __webpack_modules__={17998:(e,t,n)=>{"use strict";n.r(t),n.d(t,{BROKEN_FILE_SVG_ICON:()=>g,DOMWidgetModel:()=>P,DOMWidgetView:()=>B,ErrorWidgetView:()=>G,IJupyterWidgetRegistry:()=>W,JUPYTER_WIDGETS_VERSION:()=>k,JupyterLuminoPanelWidget:()=>R,JupyterLuminoWidget:()=>L,JupyterPhosphorPanelWidget:()=>j,JupyterPhosphorWidget:()=>D,LayoutModel:()=>F,LayoutView:()=>$,PROTOCOL_VERSION:()=>M,StyleModel:()=>U,StyleView:()=>q,ViewList:()=>H,WidgetModel:()=>A,WidgetView:()=>N,assign:()=>l,createErrorWidgetModel:()=>K,createErrorWidgetView:()=>J,difference:()=>o,isEqual:()=>a,isObject:()=>f,isSerializable:()=>p,pack_models:()=>I,put_buffers:()=>h,reject:()=>d,remove_buffers:()=>m,resolvePromisesDict:()=>c,shims:()=>V,unpack_models:()=>O,uuid:()=>u});var i=n(75764),r=n(46343),s=n.n(r);function o(e,t){return e.filter((e=>-1===t.indexOf(e)))}function a(e,t){return s()(e,t)}const l=Object.assign||function(e,...t){for(let n=1;n{const n={};for(let i=0;i=0&&t.item(n)!==this;);return n>-1};class S extends _.View{_removeElement(){this.undelegateEvents(),this.el.parentNode&&this.el.parentNode.removeChild(this.el)}_setElement(e){this.el=e}_setAttributes(e){for(const t in e)t in this.el?this.el[t]=e[t]:this.el.setAttribute(t,e[t])}delegate(e,t,n){"string"!=typeof t&&(n=t,t=null),void 0===this._domEvents&&(this._domEvents=[]);const i=this.el,r=t?function(e){let r=e.target||e.srcElement;for(;r&&r!==i;r=r.parentNode)if(x.call(r,t))return e.delegateTarget=r,n.handleEvent?n.handleEvent(e):n(e)}:n;return this.el.addEventListener(e,r,!1),this._domEvents.push({eventName:e,handler:r,listener:n,selector:t}),r}undelegate(e,t,n){if("function"==typeof t&&(n=t,t=null),this.el&&this._domEvents){const i=this._domEvents.slice();let r=i.length;for(;r--;){const s=i[r];!(s.eventName!==e||n&&s.listener!==n||t&&s.selector!==t)&&(this.el.removeEventListener(s.eventName,s.handler,!1),this._domEvents.splice(r,1))}}return this}undelegateEvents(){if(this.el&&this._domEvents){const e=this._domEvents.length;for(let t=0;tthis.views[e].then((e=>e.remove()))));return delete this.views,Promise.all(e).then((()=>{}))}return Promise.resolve()}_handle_comm_closed(e){this.trigger("comm:close"),this.close(!0)}_handle_comm_msg(e){const t=e.content.data,n=t.method;switch(n){case"update":case"echo_update":return this.state_change=this.state_change.then((()=>{var i,r,s;const o=t.state,a=null!==(i=t.buffer_paths)&&void 0!==i?i:[],l=null!==(s=null===(r=e.buffers)||void 0===r?void 0:r.slice(0,a.length))&&void 0!==s?s:[];if(h(o,a,l),e.parent_header&&"echo_update"===n){const t=e.parent_header.msg_id;Object.keys(o).filter((e=>this._expectedEchoMsgIds.has(e))).forEach((e=>{this._expectedEchoMsgIds.get(e)!==t?delete o[e]:(this._expectedEchoMsgIds.delete(e),null!==this._msg_buffer&&Object.prototype.hasOwnProperty.call(this._msg_buffer,e)&&delete o[e])}))}return this.constructor._deserialize_state(o,this.widget_manager)})).then((e=>{this.set_state(e)})).catch(d(`Could not process update msg for model id: ${this.model_id}`,!0)),this.state_change;case"custom":return this.trigger("msg:custom",t.content,e.buffers),Promise.resolve()}return Promise.resolve()}set_state(e){this._state_lock=e;try{this.set(e)}catch(e){console.error(`Error setting state: ${e instanceof Error?e.message:e}`)}finally{this._state_lock=null}}get_state(e){const t=this.attributes;if(e){const e=this.defaults,n="function"==typeof e?e.call(this):e,i={};return Object.keys(t).forEach((e=>{a(t[e],n[e])||(i[e]=t[e])})),i}return Object.assign({},t)}_handle_status(e){if(void 0!==this.comm&&"idle"===e.content.execution_state&&(this._pending_msgs--,this._pending_msgs<0&&(console.error(`Jupyter Widgets message throttle: Pending messages < 0 (=${this._pending_msgs}), which is unexpected. 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e}send_sync_message(e,t={}){if(!this.comm)return"";try{const n=(t={shell:Object.assign({},t.shell),iopub:Object.assign({},t.iopub),input:t.input}).iopub.status;t.iopub.status=e=>{this._handle_status(e),n&&n(e)};const i=m(e),r=this.comm.send({method:"update",state:i.state,buffer_paths:i.buffer_paths},t,{},i.buffers);return this._pending_msgs++,r}catch(e){console.error("Could not send widget sync message",e)}return""}save_changes(e){if(this.comm_live){const t={patch:!0};e&&(t.callbacks=e),this.save(this._buffered_state_diff,t),this._changing&&l(this._buffered_state_diff_synced,this._buffered_state_diff),this._buffered_state_diff={}}}on_some_change(e,t,n){this.on("change",((...i)=>{e.some(this.hasChanged,this)&&t.apply(n,i)}),this)}toJSON(e){return`IPY_MODEL_${this.model_id}`}static _deserialize_state(e,t){const n=this.serializers;let i;if(n){i={};for(const r in e)n[r]&&n[r].deserialize?i[r]=n[r].deserialize(e[r],t):i[r]=e[r]}else i=e;return c(i)}}class P extends A{defaults(){return l(super.defaults(),{_dom_classes:[],tabbable:null,tooltip:null})}}P.serializers=Object.assign(Object.assign({},A.serializers),{layout:{deserialize:O},style:{deserialize:O}});class N extends S{constructor(e){super(e)}initialize(e){this.listenTo(this.model,"change",((e,t)=>{const n=Object.keys(this.model.changedAttributes()||{});"_view_count"===n[0]&&1===n.length||this.update(t)})),this.options=e.options,this.once("remove",(()=>{"number"==typeof this.model.get("_view_count")&&(this.model.set("_view_count",this.model.get("_view_count")-1),this.model.save_changes())})),this.once("displayed",(()=>{"number"==typeof this.model.get("_view_count")&&(this.model.set("_view_count",this.model.get("_view_count")+1),this.model.save_changes())})),this.displayed=new Promise(((e,t)=>{this.once("displayed",e),this.model.on("msg:custom",this.handle_message.bind(this))}))}handle_message(e){"focus"===e.do?this.el.focus():"blur"===e.do&&this.el.blur()}update(e){}render(){}create_child_view(e,t={}){return t=Object.assign({parent:this},t),this.model.widget_manager.create_view(e,t).catch(d("Could not create child view",!0))}callbacks(){return this.model.callbacks(this)}send(e,t){this.model.send(e,this.callbacks(),t)}touch(){this.model.save_changes(this.callbacks())}remove(){return super.remove(),this.trigger("remove"),this}}class L extends C.Widget{constructor(e){const t=e.view;delete e.view,super(e),this._view=t}dispose(){this.isDisposed||(super.dispose(),this._view.remove(),this._view=null)}processMessage(e){super.processMessage(e),this._view.processLuminoMessage(e)}}const D=L;class R extends C.Panel{constructor(e){const t=e.view;delete e.view,super(e),this._view=t}processMessage(e){super.processMessage(e),this._view.processLuminoMessage(e)}dispose(){var e;this.isDisposed||(super.dispose(),null===(e=this._view)||void 0===e||e.remove(),this._view=null)}}const j=R;class B extends N{initialize(e){super.initialize(e),this.listenTo(this.model,"change:_dom_classes",((e,t)=>{const n=e.previous("_dom_classes");this.update_classes(n,t)})),this.layoutPromise=Promise.resolve(),this.listenTo(this.model,"change:layout",((e,t)=>{this.setLayout(t,e.previous("layout"))})),this.stylePromise=Promise.resolve(),this.listenTo(this.model,"change:style",((e,t)=>{this.setStyle(t,e.previous("style"))})),this.displayed.then((()=>{this.update_classes([],this.model.get("_dom_classes")),this.setLayout(this.model.get("layout")),this.setStyle(this.model.get("style"))})),this._comm_live_update(),this.listenTo(this.model,"comm_live_update",(()=>{this._comm_live_update()})),this.listenTo(this.model,"change:tooltip",this.updateTooltip),this.updateTooltip()}setLayout(e,t){e&&(this.layoutPromise=this.layoutPromise.then((t=>(t&&(t.unlayout(),this.stopListening(t.model),t.remove()),this.create_child_view(e).then((e=>this.displayed.then((()=>(e.trigger("displayed"),this.listenTo(e.model,"change",(()=>{E.MessageLoop.postMessage(this.luminoWidget,C.Widget.ResizeMessage.UnknownSize)})),E.MessageLoop.postMessage(this.luminoWidget,C.Widget.ResizeMessage.UnknownSize),this.trigger("layout-changed"),e))))).catch(d("Could not add LayoutView to DOMWidgetView",!0))))))}setStyle(e,t){e&&(this.stylePromise=this.stylePromise.then((t=>(t&&(t.unstyle(),this.stopListening(t.model),t.remove()),this.create_child_view(e).then((e=>this.displayed.then((()=>(e.trigger("displayed"),this.trigger("style-changed"),e))))).catch(d("Could not add styleView to DOMWidgetView",!0))))))}updateTooltip(){const e=this.model.get("tooltip");e?0===this.model.get("description").length&&this.el.setAttribute("title",e):this.el.removeAttribute("title")}update_classes(e,t,n){void 0===n&&(n=this.el),o(e,t).map((function(e){n.classList?n.classList.remove(e):n.setAttribute("class",n.getAttribute("class").replace(e,""))})),o(t,e).map((function(e){n.classList?n.classList.add(e):n.setAttribute("class",n.getAttribute("class").concat(" ",e))}))}update_mapped_classes(e,t,n){let i=this.model.previous(t);const r=e[i]?e[i]:[];i=this.model.get(t);const s=e[i]?e[i]:[];this.update_classes(r,s,n||this.el)}set_mapped_classes(e,t,n){const i=this.model.get(t),r=e[i]?e[i]:[];this.update_classes([],r,n||this.el)}_setElement(e){this.luminoWidget&&this.luminoWidget.dispose(),this.$el=e instanceof y()?e:y()(e),this.el=this.$el[0],this.luminoWidget=new L({node:e,view:this})}remove(){return this.luminoWidget&&this.luminoWidget.dispose(),super.remove()}processLuminoMessage(e){switch(e.type){case"after-attach":this.trigger("displayed");break;case"show":this.trigger("shown")}}_comm_live_update(){this.model.comm_live?this.luminoWidget.removeClass("jupyter-widgets-disconnected"):this.luminoWidget.addClass("jupyter-widgets-disconnected")}updateTabindex(){const e=this.model.get("tabbable");!0===e?this.el.setAttribute("tabIndex","0"):!1===e?this.el.setAttribute("tabIndex","-1"):null===e&&this.el.removeAttribute("tabIndex")}get pWidget(){return this.luminoWidget}set pWidget(e){this.luminoWidget=e}}const z={align_content:null,align_items:null,align_self:null,border_top:null,border_right:null,border_bottom:null,border_left:null,bottom:null,display:null,flex:null,flex_flow:null,height:null,justify_content:null,justify_items:null,left:null,margin:null,max_height:null,max_width:null,min_height:null,min_width:null,overflow:null,order:null,padding:null,right:null,top:null,visibility:null,width:null,object_fit:null,object_position:null,grid_auto_columns:null,grid_auto_flow:null,grid_auto_rows:null,grid_gap:null,grid_template_rows:null,grid_template_columns:null,grid_template_areas:null,grid_row:null,grid_column:null,grid_area:null};class F extends A{defaults(){return l(super.defaults(),{_model_name:"LayoutModel",_view_name:"LayoutView"},z)}}class $ extends N{initialize(e){this._traitNames=[],super.initialize(e);for(const e of Object.keys(z))this.registerTrait(e)}registerTrait(e){this._traitNames.push(e),this.listenTo(this.model,"change:"+e,((t,n)=>{this.handleChange(e,n)})),this.handleChange(e,this.model.get(e))}css_name(e){return e.replace(/_/g,"-")}handleChange(e,t){const n=this.options.parent;n?null===t?n.el.style.removeProperty(this.css_name(e)):n.el.style.setProperty(this.css_name(e),t):console.warn("Style not applied because a parent view does not exist")}unlayout(){const e=this.options.parent;this._traitNames.forEach((t=>{e?e.el.style.removeProperty(this.css_name(t)):console.warn("Style not removed because a parent view does not exist")}),this)}}class U extends A{defaults(){const e=this.constructor;return l(super.defaults(),{_model_name:"StyleModel",_view_name:"StyleView"},Object.keys(e.styleProperties).reduce(((t,n)=>(t[n]=e.styleProperties[n].default,t)),{}))}}U.styleProperties={};class q extends N{initialize(e){this._traitNames=[],super.initialize(e);const t=this.model.constructor;for(const e of Object.keys(t.styleProperties))this.registerTrait(e);this.style()}registerTrait(e){this._traitNames.push(e),this.listenTo(this.model,"change:"+e,((t,n)=>{this.handleChange(e,n)}))}handleChange(e,t){const n=this.options.parent;if(n){const i=this.model.constructor.styleProperties,r=i[e].attribute,s=i[e].selector,o=s?n.el.querySelectorAll(s):[n.el];if(null===t)for(let e=0;e!==o.length;++e)o[e].style.removeProperty(r);else for(let e=0;e!==o.length;++e)o[e].style.setProperty(r,t)}else console.warn("Style not applied because a parent view does not exist")}style(){for(const e of this._traitNames)this.handleChange(e,this.model.get(e))}unstyle(){const e=this.options.parent,t=this.model.constructor.styleProperties;this._traitNames.forEach((n=>{if(e){const i=t[n].attribute,r=t[n].selector,s=r?e.el.querySelectorAll(r):[e.el];for(let e=0;e!==s.length;++e)s[e].style.removeProperty(i)}else console.warn("Style not removed because a parent view does not exist")}),this)}}var V;!function(e){let t;!function(e){e.CommManager=class{constructor(e){this.targets=Object.create(null),this.comms=Object.create(null),this.init_kernel(e)}init_kernel(e){this.kernel=e,this.jsServicesKernel=e}async new_comm(e,n,i,r,s,o){const a=this.jsServicesKernel.createComm(e,s),l=new t(a);return this.register_comm(l),l.open(n,i,r,o),l}register_target(e,n){const i=this.jsServicesKernel.registerCommTarget(e,((e,i)=>{const r=new t(e);this.register_comm(r);try{return n(r,i)}catch(e){r.close(),console.error(e),console.error(new Error("Exception opening new comm"))}}));this.targets[e]=i}unregister_target(e,t){this.targets[e].dispose(),delete this.targets[e]}register_comm(e){return this.comms[e.comm_id]=Promise.resolve(e),e.kernel=this.kernel,e.comm_id}};class t{constructor(e){this.jsServicesComm=e}get comm_id(){return this.jsServicesComm.commId}get target_name(){return this.jsServicesComm.targetName}open(e,t,n,i){const r=this.jsServicesComm.open(e,n,i);return this._hookupCallbacks(r,t),r.msg.header.msg_id}send(e,t,n,i){const r=this.jsServicesComm.send(e,n,i);return this._hookupCallbacks(r,t),r.msg.header.msg_id}close(e,t,n,i){const r=this.jsServicesComm.close(e,n,i);return this._hookupCallbacks(r,t),r.msg.header.msg_id}on_msg(e){this.jsServicesComm.onMsg=e.bind(this)}on_close(e){this.jsServicesComm.onClose=e.bind(this)}_hookupCallbacks(e,t){t&&(e.onReply=function(e){t.shell&&t.shell.reply&&t.shell.reply(e)},e.onStdin=function(e){t.input&&t.input(e)},e.onIOPub=function(e){if(t.iopub)if(t.iopub.status&&"status"===e.header.msg_type)t.iopub.status(e);else if(t.iopub.clear_output&&"clear_output"===e.header.msg_type)t.iopub.clear_output(e);else if(t.iopub.output)switch(e.header.msg_type){case"display_data":case"execute_result":case"stream":case"error":t.iopub.output(e)}})}}e.Comm=t}(t=e.services||(e.services={}))}(V||(V={}));class H{constructor(e,t,n){this.initialize(e,t,n)}initialize(e,t,n){this._handler_context=n||this,this._models=[],this.views=[],this._create_view=e,this._remove_view=t||function(e){e.remove()}}update(e,t,n,i){const r=n||this._remove_view,s=t||this._create_view;i=i||this._handler_context;let o=0;for(;o=this._models.length||e[o]!==this._models[o]);o++);const a=o,l=this.views.splice(a,this.views.length-a);for(let e=0;e{e.forEach((e=>this._remove_view.call(this._handler_context,e))),this.views=[],this._models=[]}))}dispose(){this.views=null,this._models=null}}const W=new i.Token("jupyter.extensions.jupyterWidgetRegistry");function K(e,t){return class extends P{constructor(n,i){super(n=Object.assign(Object.assign({},n),{_view_name:"ErrorWidgetView",_view_module:"@jupyter-widgets/base",_model_module_version:k,_view_module_version:k,msg:t,error:e}),i),this.comm_live=!0}}}class G extends B{generateErrorMessage(){return{msg:this.model.get("msg"),stack:String(this.model.get("error").stack)}}render(){const{msg:e,stack:t}=this.generateErrorMessage();this.el.classList.add("jupyter-widgets");const n=document.createElement("div");n.classList.add("jupyter-widgets-error-widget","icon-error"),n.innerHTML=g;const i=document.createElement("pre");let r,s;i.style.textAlign="center",i.innerText="Click to show javascript error.",n.append(i),this.el.appendChild(n),this.el.onclick=()=>{n.classList.contains("icon-error")&&(s=s||n.clientHeight,r=r||n.clientWidth,n.classList.remove("icon-error"),n.innerHTML=`\n 
[Open Browser Console for more detailed log - Double click to close this message]\n${e}\n${t}
\n `,n.style.height=`${s}px`,n.style.width=`${r}px`,n.classList.add("text-error"))},this.el.ondblclick=()=>{n.classList.contains("text-error")&&(n.classList.remove("text-error"),n.innerHTML=g,n.append(i),n.classList.add("icon-error"))}}}function J(e,t){return class extends G{generateErrorMessage(){return{msg:t,stack:String(e instanceof Error?e.stack:e)}}}}},75803:(e,t,n)=>{"use strict";n.r(t),n.d(t,{AccordionModel:()=>Vt,AccordionView:()=>Wt,AudioModel:()=>K,AudioView:()=>G,BaseIntSliderView:()=>je,BoolModel:()=>y,BoundedFloatModel:()=>Je,BoundedFloatTextModel:()=>it,BoundedIntModel:()=>Ne,BoundedIntTextModel:()=>$e,BoxModel:()=>D,BoxView:()=>B,ButtonModel:()=>T,ButtonStyleModel:()=>M,ButtonView:()=>O,CheckboxModel:()=>w,CheckboxStyleModel:()=>_,CheckboxView:()=>x,ColorPickerModel:()=>X,ColorPickerView:()=>Y,ColorsInputModel:()=>Bn,ColorsInputView:()=>zn,ComboboxModel:()=>di,ComboboxView:()=>hi,ControllerAxisModel:()=>lt,ControllerAxisView:()=>ut,ControllerButtonModel:()=>ot,ControllerButtonView:()=>at,ControllerModel:()=>ct,ControllerView:()=>dt,DatePickerModel:()=>ee,DatePickerView:()=>te,DatetimeModel:()=>de,DatetimeView:()=>he,DescriptionModel:()=>u,DescriptionStyleModel:()=>l,DescriptionView:()=>c,DirectionalLinkModel:()=>g,DropdownModel:()=>ft,DropdownView:()=>mt,FileUploadModel:()=>pi,FileUploadView:()=>fi,FloatLogSliderModel:()=>Ye,FloatLogSliderView:()=>et,FloatModel:()=>Ge,FloatProgressModel:()=>st,FloatRangeSliderModel:()=>Qe,FloatRangeSliderView:()=>tt,FloatSliderModel:()=>Xe,FloatSliderView:()=>Ze,FloatTextModel:()=>nt,FloatTextView:()=>rt,FloatsInputModel:()=>Un,FloatsInputView:()=>qn,GridBoxModel:()=>U,GridBoxView:()=>$,HBoxModel:()=>R,HBoxView:()=>z,HTMLMathModel:()=>ti,HTMLMathStyleModel:()=>Gn,HTMLMathView:()=>ni,HTMLModel:()=>Zn,HTMLStyleModel:()=>Kn,HTMLView:()=>ei,ImageModel:()=>q,ImageView:()=>V,IntModel:()=>Pe,IntProgressModel:()=>Ve,IntRangeSliderModel:()=>Re,IntRangeSliderView:()=>Be,IntSliderModel:()=>De,IntSliderView:()=>ze,IntTextModel:()=>Fe,IntTextView:()=>Ue,IntsInputModel:()=>Vn,IntsInputView:()=>Hn,JUPYTER_CONTROLS_VERSION:()=>a.A,JupyterLuminoAccordionWidget:()=>Ht,JupyterLuminoTabPanelWidget:()=>Gt,LabelModel:()=>ii,LabelStyleModel:()=>Jn,LabelView:()=>ri,LabeledDOMWidgetModel:()=>d,LabeledDOMWidgetView:()=>h,LinkModel:()=>v,MultipleSelectionModel:()=>Ct,NaiveDatetimeModel:()=>ve,PasswordModel:()=>ui,PasswordView:()=>ci,PlayModel:()=>We,PlayView:()=>Ke,ProgressStyleModel:()=>qe,ProgressView:()=>He,RadioButtonsModel:()=>_t,RadioButtonsView:()=>bt,SelectModel:()=>gt,SelectMultipleModel:()=>kt,SelectMultipleView:()=>Mt,SelectView:()=>vt,SelectionContainerModel:()=>qt,SelectionModel:()=>ht,SelectionRangeSliderModel:()=>Tt,SelectionRangeSliderView:()=>Ot,SelectionSliderModel:()=>St,SelectionSliderView:()=>Et,SelectionView:()=>pt,SliderStyleModel:()=>Le,StackModel:()=>Xt,StackView:()=>Yt,StringModel:()=>Yn,StringView:()=>Qn,TabModel:()=>Kt,TabView:()=>Jt,TagsInputModel:()=>Rn,TagsInputView:()=>jn,TextModel:()=>ai,TextStyleModel:()=>Xn,TextView:()=>li,TextareaModel:()=>si,TextareaView:()=>oi,TimeModel:()=>oe,TimeView:()=>ae,ToggleButtonModel:()=>S,ToggleButtonStyleModel:()=>b,ToggleButtonView:()=>E,ToggleButtonsModel:()=>wt,ToggleButtonsStyleModel:()=>yt,ToggleButtonsView:()=>xt,VBoxModel:()=>j,VBoxView:()=>F,ValidModel:()=>C,ValidView:()=>k,VideoModel:()=>H,VideoView:()=>W,datetime_serializers:()=>ce,deserialize_date:()=>Z,deserialize_datetime:()=>ue,deserialize_naive:()=>me,deserialize_time:()=>re,escape_html:()=>s,naive_serializers:()=>ge,reject:()=>o,resolvePromisesDict:()=>i.resolvePromisesDict,serialize_date:()=>Q,serialize_datetime:()=>le,serialize_naive:()=>fe,serialize_time:()=>ie,time_serializers:()=>se,typeset:()=>r,uuid:()=>i.uuid,version:()=>mi});var i=n(17998);function r(e,t){void 0!==t&&(e.textContent=t),void 0!==window.MathJax&&MathJax.Hub.Queue(["Typeset",MathJax.Hub,e])}function s(e){const t=document.createElement("div");return t.textContent=e,t.innerHTML}function o(e,t){return function(n){throw t&&console.error(new Error(e)),n}}var a=n(19874);class l extends i.StyleModel{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"DescriptionStyleModel",_model_module:"@jupyter-widgets/controls",_model_module_version:a.A})}}l.styleProperties={description_width:{selector:".widget-label",attribute:"width",default:null}};class u extends i.DOMWidgetModel{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"DescriptionModel",_view_name:"DescriptionView",_view_module:"@jupyter-widgets/controls",_model_module:"@jupyter-widgets/controls",_view_module_version:a.A,_model_module_version:a.A,description:"",description_allow_html:!1})}}class c extends i.DOMWidgetView{render(){this.label=document.createElement("label"),this.el.appendChild(this.label),this.label.className="widget-label",this.label.style.display="none",this.listenTo(this.model,"change:description",this.updateDescription),this.listenTo(this.model,"change:description_allow_html",this.updateDescription),this.listenTo(this.model,"change:tabbable",this.updateTabindex),this.updateDescription(),this.updateTabindex(),this.updateTooltip()}typeset(e,t){this.displayed.then((()=>{var n,i,s;if(null===(i=null===(n=window.MathJax)||void 0===n?void 0:n.Hub)||void 0===i?void 0:i.Queue)return r(e,t);const o=null===(s=this.model.widget_manager._rendermime)||void 0===s?void 0:s.latexTypesetter;o&&(void 0!==t&&(e.textContent=t),o.typeset(e))}))}updateDescription(){const e=this.model.get("description");0===e.length?this.label.style.display="none":(this.model.get("description_allow_html")?this.label.innerHTML=this.model.widget_manager.inline_sanitize(e):this.label.textContent=e,this.typeset(this.label),this.label.style.display="")}updateTooltip(){this.label&&(this.label.title=this.model.get("tooltip"))}}class d extends u{}class h extends c{}class p extends i.WidgetModel{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"CoreWidgetModel",_view_module:"@jupyter-widgets/controls",_model_module:"@jupyter-widgets/controls",_view_module_version:a.A,_model_module_version:a.A})}}class f extends i.DOMWidgetModel{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"CoreDOMWidgetModel",_view_module:"@jupyter-widgets/controls",_model_module:"@jupyter-widgets/controls",_view_module_version:a.A,_model_module_version:a.A})}}class m extends u{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"CoreDescriptionModel",_view_module:"@jupyter-widgets/controls",_model_module:"@jupyter-widgets/controls",_view_module_version:a.A,_model_module_version:a.A})}}class g extends p{defaults(){return Object.assign(Object.assign({},super.defaults()),{target:void 0,source:void 0,_model_name:"DirectionalLinkModel"})}initialize(e,t){super.initialize(e,t),this.on("change",this.updateBindings,this),this.updateBindings()}updateValue(e,t,n,i){if(!this._updating){this._updating=!0;try{n&&(n.set(i,e.get(t)),n.save_changes())}finally{this._updating=!1}}}updateBindings(){this.cleanup(),[this.sourceModel,this.sourceAttr]=this.get("source")||[null,null],[this.targetModel,this.targetAttr]=this.get("target")||[null,null],this.sourceModel&&(this.listenTo(this.sourceModel,"change:"+this.sourceAttr,(()=>{this.updateValue(this.sourceModel,this.sourceAttr,this.targetModel,this.targetAttr)})),this.updateValue(this.sourceModel,this.sourceAttr,this.targetModel,this.targetAttr),this.listenToOnce(this.sourceModel,"destroy",this.cleanup)),this.targetModel&&this.listenToOnce(this.targetModel,"destroy",this.cleanup)}cleanup(){this.sourceModel&&(this.stopListening(this.sourceModel,"change:"+this.sourceAttr,void 0),this.stopListening(this.sourceModel,"destroy",void 0)),this.targetModel&&this.stopListening(this.targetModel,"destroy",void 0)}}g.serializers=Object.assign(Object.assign({},p.serializers),{target:{deserialize:i.unpack_models},source:{deserialize:i.unpack_models}});class v extends g{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"LinkModel"})}updateBindings(){super.updateBindings(),this.targetModel&&this.listenTo(this.targetModel,"change:"+this.targetAttr,(()=>{this.updateValue(this.targetModel,this.targetAttr,this.sourceModel,this.sourceAttr)}))}cleanup(){super.cleanup(),this.targetModel&&this.stopListening(this.targetModel,"change:"+this.targetAttr,void 0)}}class _ extends l{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"CheckboxStyleModel"})}}_.styleProperties=Object.assign(Object.assign({},l.styleProperties),{background:{selector:"",attribute:"background",default:null}});class b extends l{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"ToggleButtonStyleModel"})}}b.styleProperties=Object.assign(Object.assign({},l.styleProperties),{font_family:{selector:"",attribute:"font-family",default:""},font_size:{selector:"",attribute:"font-size",default:""},font_style:{selector:"",attribute:"font-style",default:""},font_variant:{selector:"",attribute:"font-variant",default:""},font_weight:{selector:"",attribute:"font-weight",default:""},text_color:{selector:"",attribute:"color",default:""},text_decoration:{selector:"",attribute:"text-decoration",default:""}});class y extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{value:!1,disabled:!1,_model_name:"BoolModel"})}}class w extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{indent:!0,style:null,_view_name:"CheckboxView",_model_name:"CheckboxModel"})}}class x extends c{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-inline-hbox"),this.el.classList.add("widget-checkbox"),this.label.innerHTML="​",this.checkboxLabel=document.createElement("label"),this.checkboxLabel.classList.add("widget-label-basic"),this.el.appendChild(this.checkboxLabel),this.checkbox=document.createElement("input"),this.checkbox.setAttribute("type","checkbox"),this.checkboxLabel.appendChild(this.checkbox),this.descriptionSpan=document.createElement("span"),this.checkboxLabel.appendChild(this.descriptionSpan),this.listenTo(this.model,"change:indent",this.updateIndent),this.listenTo(this.model,"change:tabbable",this.updateTabindex),this.update(),this.updateDescription(),this.updateIndent(),this.updateTabindex(),this.updateTooltip()}updateDescription(){if(null==this.checkboxLabel)return;const e=this.model.get("description");this.model.get("description_allow_html")?this.descriptionSpan.innerHTML=this.model.widget_manager.inline_sanitize(e):this.descriptionSpan.textContent=e,this.typeset(this.descriptionSpan),this.descriptionSpan.title=e,this.checkbox.title=e}updateIndent(){const e=this.model.get("indent");this.label.style.display=e?"":"none"}updateTabindex(){if(!this.checkbox)return;const e=this.model.get("tabbable");!0===e?this.checkbox.setAttribute("tabIndex","0"):!1===e?this.checkbox.setAttribute("tabIndex","-1"):null===e&&this.checkbox.removeAttribute("tabIndex")}updateTooltip(){if(!this.checkbox)return;const e=this.model.get("tooltip");e?0===this.model.get("description").length&&this.checkbox.setAttribute("title",e):this.checkbox.removeAttribute("title")}events(){return{'click input[type="checkbox"]':"_handle_click"}}_handle_click(){const e=this.model.get("value");this.model.set("value",!e,{updated_view:this}),this.touch()}update(e){return this.checkbox.checked=this.model.get("value"),void 0!==e&&e.updated_view==this||(this.checkbox.disabled=this.model.get("disabled")),super.update()}handle_message(e){"focus"==e.do?this.checkbox.focus():"blur"==e.do&&this.checkbox.blur()}}class S extends y{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"ToggleButtonView",_model_name:"ToggleButtonModel",tooltip:"",icon:"",button_style:"",style:null})}}class E extends i.DOMWidgetView{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("jupyter-button"),this.el.classList.add("widget-toggle-button"),this.listenTo(this.model,"change:button_style",this.update_button_style),this.listenTo(this.model,"change:tabbable",this.updateTabindex),this.set_button_style(),this.update()}update_button_style(){this.update_mapped_classes(E.class_map,"button_style")}set_button_style(){this.set_mapped_classes(E.class_map,"button_style")}update(e){if(this.model.get("value")?this.el.classList.add("mod-active"):this.el.classList.remove("mod-active"),void 0===e||e.updated_view!==this){this.el.disabled=this.model.get("disabled"),this.el.setAttribute("tabbable",this.model.get("tabbable")),this.el.setAttribute("title",this.model.get("tooltip"));const e=this.model.get("description"),t=this.model.get("icon");if(0===e.trim().length&&0===t.trim().length)this.el.innerHTML=" ";else{if(this.el.textContent="",t.trim().length){const e=document.createElement("i");this.el.appendChild(e),e.classList.add("fa"),e.classList.add("fa-"+t)}this.el.appendChild(document.createTextNode(e))}}return this.updateTabindex(),super.update()}events(){return{click:"_handle_click"}}_handle_click(e){e.preventDefault();const t=this.model.get("value");this.model.set("value",!t,{updated_view:this}),this.touch()}preinitialize(){this.tagName="button"}}E.class_map={primary:["mod-primary"],success:["mod-success"],info:["mod-info"],warning:["mod-warning"],danger:["mod-danger"]};class C extends y{defaults(){return Object.assign(Object.assign({},super.defaults()),{readout:"Invalid",_view_name:"ValidView",_model_name:"ValidModel"})}}class k extends c{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-valid"),this.el.classList.add("widget-inline-hbox"),this.icon=document.createElement("i"),this.icon.classList.add("fa","fa-fw"),this.el.appendChild(this.icon),this.readout=document.createElement("span"),this.readout.classList.add("widget-valid-readout"),this.readout.classList.add("widget-readout"),this.el.appendChild(this.readout),this.update()}update(){this.el.classList.remove("mod-valid"),this.el.classList.remove("mod-invalid"),this.icon.classList.remove("fa-check"),this.icon.classList.remove("fa-times"),this.readout.textContent=this.model.get("readout"),this.model.get("value")?(this.el.classList.add("mod-valid"),this.icon.classList.add("fa-check")):(this.el.classList.add("mod-invalid"),this.icon.classList.add("fa-times"))}}class M extends i.StyleModel{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"ButtonStyleModel",_model_module:"@jupyter-widgets/controls",_model_module_version:a.A})}}M.styleProperties={button_color:{selector:"",attribute:"background-color",default:null},font_family:{selector:"",attribute:"font-family",default:""},font_size:{selector:"",attribute:"font-size",default:""},font_style:{selector:"",attribute:"font-style",default:""},font_variant:{selector:"",attribute:"font-variant",default:""},font_weight:{selector:"",attribute:"font-weight",default:""},text_color:{selector:"",attribute:"color",default:""},text_decoration:{selector:"",attribute:"text-decoration",default:""}};class T extends f{defaults(){return Object.assign(Object.assign({},super.defaults()),{description:"",tooltip:"",disabled:!1,icon:"",button_style:"",_view_name:"ButtonView",_model_name:"ButtonModel",style:null})}}class O extends i.DOMWidgetView{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("jupyter-button"),this.el.classList.add("widget-button"),this.listenTo(this.model,"change:button_style",this.update_button_style),this.listenTo(this.model,"change:tabbable",this.updateTabindex),this.set_button_style(),this.update()}update(){this.el.disabled=this.model.get("disabled"),this.updateTabindex();const e=this.model.get("tooltip"),t=this.model.get("description"),n=this.model.get("icon");if(this.el.setAttribute("title",null!=e?e:t),t.length||n.length){if(this.el.textContent="",n.length){const e=document.createElement("i");e.classList.add("fa"),e.classList.add(...n.split(/[\s]+/).filter(Boolean).map((e=>`fa-${e}`))),0===t.length&&e.classList.add("center"),this.el.appendChild(e)}this.el.appendChild(document.createTextNode(t))}return super.update()}update_button_style(){this.update_mapped_classes(O.class_map,"button_style")}set_button_style(){this.set_mapped_classes(O.class_map,"button_style")}events(){return{click:"_handle_click"}}_handle_click(e){e.preventDefault(),this.send({event:"click"})}preinitialize(){this.tagName="button"}}O.class_map={primary:["mod-primary"],success:["mod-success"],info:["mod-info"],warning:["mod-warning"],danger:["mod-danger"]};var I=n(38135),A=n(33326),P=n(75735),N=n(34651),L=n.n(N);class D extends f{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"BoxView",_model_name:"BoxModel",children:[],box_style:""})}}D.serializers=Object.assign(Object.assign({},f.serializers),{children:{deserialize:i.unpack_models}});class R extends D{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"HBoxView",_model_name:"HBoxModel"})}}class j extends D{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"VBoxView",_model_name:"VBoxModel"})}}class B extends i.DOMWidgetView{_createElement(e){return this.luminoWidget=new i.JupyterLuminoPanelWidget({view:this}),this.luminoWidget.node}_setElement(e){if(this.el||e!==this.luminoWidget.node)throw new Error("Cannot reset the DOM element.");this.el=this.luminoWidget.node,this.$el=L()(this.luminoWidget.node)}initialize(e){super.initialize(e),this.children_views=new i.ViewList(this.add_child_model,null,this),this.listenTo(this.model,"change:children",this.update_children),this.listenTo(this.model,"change:box_style",this.update_box_style),this.luminoWidget.addClass("jupyter-widgets"),this.luminoWidget.addClass("widget-container"),this.luminoWidget.addClass("widget-box")}render(){super.render(),this.update_children(),this.set_box_style()}update_children(){var e;null===(e=this.children_views)||void 0===e||e.update(this.model.get("children")).then((e=>{e.forEach((e=>{A.MessageLoop.postMessage(e.luminoWidget,P.Widget.ResizeMessage.UnknownSize)}))}))}update_box_style(){this.update_mapped_classes(B.class_map,"box_style")}set_box_style(){this.set_mapped_classes(B.class_map,"box_style")}add_child_model(e){const t=new P.Widget;return this.luminoWidget.addWidget(t),this.create_child_view(e).then((e=>{const n=I.Rw.firstIndexOf(this.luminoWidget.widgets,t);return this.luminoWidget.insertWidget(n,e.luminoWidget),t.dispose(),e})).catch((0,i.reject)("Could not add child view to box",!0))}remove(){this.children_views=null,super.remove()}}B.class_map={success:["alert","alert-success"],info:["alert","alert-info"],warning:["alert","alert-warning"],danger:["alert","alert-danger"]};class z extends B{initialize(e){super.initialize(e),this.luminoWidget.addClass("widget-hbox")}}class F extends B{initialize(e){super.initialize(e),this.luminoWidget.addClass("widget-vbox")}}class $ extends B{initialize(e){super.initialize(e),this.luminoWidget.addClass("widget-gridbox"),this.luminoWidget.removeClass("widget-box")}}class U extends D{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"GridBoxView",_model_name:"GridBoxModel"})}}class q extends f{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"ImageModel",_view_name:"ImageView",format:"png",width:"",height:"",value:new DataView(new ArrayBuffer(0))})}}q.serializers=Object.assign(Object.assign({},f.serializers),{value:{serialize:e=>new DataView(e.buffer.slice(0))}});class V extends i.DOMWidgetView{render(){super.render(),this.luminoWidget.addClass("jupyter-widgets"),this.luminoWidget.addClass("widget-image"),this.update()}update(){let e;const t=this.model.get("format"),n=this.model.get("value");if("url"!==t){const t=new Blob([n],{type:`image/${this.model.get("format")}`});e=URL.createObjectURL(t)}else e=new TextDecoder("utf-8").decode(n.buffer);const i=this.el.src;this.el.src=e,i&&URL.revokeObjectURL(i);const r=this.model.get("width");void 0!==r&&r.length>0?this.el.setAttribute("width",r):this.el.removeAttribute("width");const s=this.model.get("height");return void 0!==s&&s.length>0?this.el.setAttribute("height",s):this.el.removeAttribute("height"),super.update()}remove(){this.el.src&&URL.revokeObjectURL(this.el.src),super.remove()}preinitialize(){this.tagName="img"}}class H extends f{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"VideoModel",_view_name:"VideoView",format:"mp4",width:"",height:"",autoplay:!0,loop:!0,controls:!0,value:new DataView(new ArrayBuffer(0))})}}H.serializers=Object.assign(Object.assign({},f.serializers),{value:{serialize:e=>new DataView(e.buffer.slice(0))}});class W extends i.DOMWidgetView{render(){super.render(),this.luminoWidget.addClass("jupyter-widgets"),this.luminoWidget.addClass("widget-image"),this.update()}update(){let e;const t=this.model.get("format"),n=this.model.get("value");if("url"!==t){const t=new Blob([n],{type:`video/${this.model.get("format")}`});e=URL.createObjectURL(t)}else e=new TextDecoder("utf-8").decode(n.buffer);const i=this.el.src;this.el.src=e,i&&URL.revokeObjectURL(i);const r=this.model.get("width");void 0!==r&&r.length>0?this.el.setAttribute("width",r):this.el.removeAttribute("width");const s=this.model.get("height");return void 0!==s&&s.length>0?this.el.setAttribute("height",s):this.el.removeAttribute("height"),this.el.loop=this.model.get("loop"),this.el.autoplay=this.model.get("autoplay"),this.el.controls=this.model.get("controls"),super.update()}remove(){this.el.src&&URL.revokeObjectURL(this.el.src),super.remove()}preinitialize(){this.tagName="video"}}class K extends f{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"AudioModel",_view_name:"AudioView",format:"mp3",autoplay:!0,loop:!0,controls:!0,value:new DataView(new ArrayBuffer(0))})}}K.serializers=Object.assign(Object.assign({},f.serializers),{value:{serialize:e=>new DataView(e.buffer.slice(0))}});class G extends i.DOMWidgetView{render(){super.render(),this.luminoWidget.addClass("jupyter-widgets"),this.update()}update(){let e;const t=this.model.get("format"),n=this.model.get("value");if("url"!==t){const t=new Blob([n],{type:`audio/${this.model.get("format")}`});e=URL.createObjectURL(t)}else e=new TextDecoder("utf-8").decode(n.buffer);const i=this.el.src;return this.el.src=e,i&&URL.revokeObjectURL(i),this.el.loop=this.model.get("loop"),this.el.autoplay=this.model.get("autoplay"),this.el.controls=this.model.get("controls"),super.update()}remove(){this.el.src&&URL.revokeObjectURL(this.el.src),super.remove()}preinitialize(){this.tagName="audio"}}const J={aliceblue:"#f0f8ff",antiquewhite:"#faebd7",aqua:"#00ffff",aquamarine:"#7fffd4",azure:"#f0ffff",beige:"#f5f5dc",bisque:"#ffe4c4",black:"#000000",blanchedalmond:"#ffebcd",blue:"#0000ff",blueviolet:"#8a2be2",brown:"#a52a2a",burlywood:"#deb887",cadetblue:"#5f9ea0",chartreuse:"#7fff00",chocolate:"#d2691e",coral:"#ff7f50",cornflowerblue:"#6495ed",cornsilk:"#fff8dc",crimson:"#dc143c",cyan:"#00ffff",darkblue:"#00008b",darkcyan:"#008b8b",darkgoldenrod:"#b8860b",darkgray:"#a9a9a9",darkgrey:"#a9a9a9",darkgreen:"#006400",darkkhaki:"#bdb76b",darkmagenta:"#8b008b",darkolivegreen:"#556b2f",darkorange:"#ff8c00",darkorchid:"#9932cc",darkred:"#8b0000",darksalmon:"#e9967a",darkseagreen:"#8fbc8f",darkslateblue:"#483d8b",darkslategray:"#2f4f4f",darkslategrey:"#2f4f4f",darkturquoise:"#00ced1",darkviolet:"#9400d3",deeppink:"#ff1493",deepskyblue:"#00bfff",dimgray:"#696969",dimgrey:"#696969",dodgerblue:"#1e90ff",firebrick:"#b22222",floralwhite:"#fffaf0",forestgreen:"#228b22",fuchsia:"#ff00ff",gainsboro:"#dcdcdc",ghostwhite:"#f8f8ff",gold:"#ffd700",goldenrod:"#daa520",gray:"#808080",grey:"#808080",green:"#008000",greenyellow:"#adff2f",honeydew:"#f0fff0",hotpink:"#ff69b4",indianred:"#cd5c5c",indigo:"#4b0082",ivory:"#fffff0",khaki:"#f0e68c",lavender:"#e6e6fa",lavenderblush:"#fff0f5",lawngreen:"#7cfc00",lemonchiffon:"#fffacd",lightblue:"#add8e6",lightcoral:"#f08080",lightcyan:"#e0ffff",lightgoldenrodyellow:"#fafad2",lightgreen:"#90ee90",lightgray:"#d3d3d3",lightgrey:"#d3d3d3",lightpink:"#ffb6c1",lightsalmon:"#ffa07a",lightseagreen:"#20b2aa",lightskyblue:"#87cefa",lightslategray:"#778899",lightslategrey:"#778899",lightsteelblue:"#b0c4de",lightyellow:"#ffffe0",lime:"#00ff00",limegreen:"#32cd32",linen:"#faf0e6",magenta:"#ff00ff",maroon:"#800000",mediumaquamarine:"#66cdaa",mediumblue:"#0000cd",mediumorchid:"#ba55d3",mediumpurple:"#9370db",mediumseagreen:"#3cb371",mediumslateblue:"#7b68ee",mediumspringgreen:"#00fa9a",mediumturquoise:"#48d1cc",mediumvioletred:"#c71585",midnightblue:"#191970",mintcream:"#f5fffa",mistyrose:"#ffe4e1",moccasin:"#ffe4b5",navajowhite:"#ffdead",navy:"#000080",oldlace:"#fdf5e6",olive:"#808000",olivedrab:"#6b8e23",orange:"#ffa500",orangered:"#ff4500",orchid:"#da70d6",palegoldenrod:"#eee8aa",palegreen:"#98fb98",paleturquoise:"#afeeee",palevioletred:"#db7093",papayawhip:"#ffefd5",peachpuff:"#ffdab9",peru:"#cd853f",pink:"#ffc0cb",plum:"#dda0dd",powderblue:"#b0e0e6",purple:"#800080",red:"#ff0000",rosybrown:"#bc8f8f",royalblue:"#4169e1",saddlebrown:"#8b4513",salmon:"#fa8072",sandybrown:"#f4a460",seagreen:"#2e8b57",seashell:"#fff5ee",sienna:"#a0522d",silver:"#c0c0c0",skyblue:"#87ceeb",slateblue:"#6a5acd",slategray:"#708090",slategrey:"#708090",snow:"#fffafa",springgreen:"#00ff7f",steelblue:"#4682b4",tan:"#d2b48c",teal:"#008080",thistle:"#d8bfd8",tomato:"#ff6347",turquoise:"#40e0d0",violet:"#ee82ee",wheat:"#f5deb3",white:"#ffffff",whitesmoke:"#f5f5f5",yellow:"#ffff00",yellowgreen:"#9acd32"};class X extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{value:"black",concise:!1,_model_name:"ColorPickerModel",_view_name:"ColorPickerView"})}}class Y extends c{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-inline-hbox"),this.el.classList.add("widget-colorpicker"),this._color_container=document.createElement("div"),this._color_container.className="widget-inline-hbox widget-colorpicker-input",this.el.appendChild(this._color_container),this._textbox=document.createElement("input"),this._textbox.setAttribute("type","text"),this._textbox.id=this.label.htmlFor=(0,i.uuid)(),this._color_container.appendChild(this._textbox),this._textbox.value=this.model.get("value"),this._colorpicker=document.createElement("input"),this._colorpicker.setAttribute("type","color"),this._color_container.appendChild(this._colorpicker),this.listenTo(this.model,"change:value",this._update_value),this.listenTo(this.model,"change:concise",this._update_concise),this._update_concise(),this._update_value(),this.update()}update(e){if(void 0===e||e.updated_view!=this){const e=this.model.get("disabled");this._textbox.disabled=e,this._colorpicker.disabled=e}return super.update()}events(){return this._picker_change,this._text_change,{'change [type="color"]':"_picker_change",'change [type="text"]':"_text_change"}}_update_value(){const e=this.model.get("value");var t,n;this._colorpicker.value=J[(t=e).toLowerCase()]||(7===(n=t).length?n:"#"+n.charAt(1)+n.charAt(1)+n.charAt(2)+n.charAt(2)+n.charAt(3)+n.charAt(3)),this._textbox.value=e}_update_concise(){this.model.get("concise")?(this.el.classList.add("concise"),this._textbox.style.display="none"):(this.el.classList.remove("concise"),this._textbox.style.display="")}_picker_change(){this.model.set("value",this._colorpicker.value),this.touch()}_text_change(){const e=this._validate_color(this._textbox.value,this.model.get("value"));this.model.set("value",e),this.touch()}_validate_color(e,t){return e.match(/#[a-fA-F0-9]{3}(?:[a-fA-F0-9]{3})?$/)||J[e.toLowerCase()]?e:t}}function Q(e){return null===e?null:{year:e.getUTCFullYear(),month:e.getUTCMonth(),date:e.getUTCDate()}}function Z(e){if(null===e)return null;{const t=new Date;return t.setUTCFullYear(e.year,e.month,e.date),t.setUTCHours(0,0,0,0),t}}class ee extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{value:null,_model_name:"DatePickerModel",_view_name:"DatePickerView"})}}ee.serializers=Object.assign(Object.assign({},m.serializers),{value:{serialize:Q,deserialize:Z}});class te extends c{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-inline-hbox"),this.el.classList.add("widget-datepicker"),this._datepicker=document.createElement("input"),this._datepicker.setAttribute("type","date"),this._datepicker.id=this.label.htmlFor=(0,i.uuid)(),this.el.appendChild(this._datepicker),this.listenTo(this.model,"change:value",this._update_value),this._update_value(),this.update()}update(e){return void 0!==e&&e.updated_view===this||(this._datepicker.disabled=this.model.get("disabled")),super.update()}events(){return this._picker_change,this._picker_focusout,{'change [type="date"]':"_picker_change",'focusout [type="date"]':"_picker_focusout"}}_update_value(){const e=this.model.get("value");this._datepicker.valueAsDate=e}_picker_change(){this._datepicker.validity.badInput||(this.model.set("value",this._datepicker.valueAsDate),this.touch())}_picker_focusout(){this._datepicker.validity.badInput&&(this.model.set("value",null),this.touch())}}const ne=/(\d\d):(\d\d)(:(\d\d)(.(\d{1,3})\d*)?)?/;function ie(e){if(null===e)return null;{const t=ne.exec(e);return null===t?null:{hours:Math.min(23,parseInt(t[1],10)),minutes:Math.min(59,parseInt(t[2],10)),seconds:t[4]?Math.min(59,parseInt(t[4],10)):0,milliseconds:t[6]?parseInt(t[6],10):0}}}function re(e){if(null===e)return null;{const t=[`${e.hours.toString().padStart(2,"0")}:${e.minutes.toString().padStart(2,"0")}`];return(e.seconds>0||e.milliseconds>0)&&(t.push(`:${e.seconds.toString().padStart(2,"0")}`),e.milliseconds>0&&t.push(`.${e.milliseconds.toString().padStart(3,"0")}`)),t.join("")}}const se={serialize:ie,deserialize:re};class oe extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:oe.model_name,_view_name:oe.view_name,value:null,disabled:!1,min:null,max:null,step:60})}}oe.serializers=Object.assign(Object.assign({},m.serializers),{value:se,min:se,max:se}),oe.model_name="TimeModel",oe.view_name="TimeView";class ae extends c{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-inline-hbox"),this.el.classList.add("widget-timepicker"),this._timepicker=document.createElement("input"),this._timepicker.setAttribute("type","time"),this._timepicker.id=this.label.htmlFor=(0,i.uuid)(),this.el.appendChild(this._timepicker),this.listenTo(this.model,"change:value",this._update_value),this.listenTo(this.model,"change",this.update2),this._update_value(),this.update2()}update2(e,t){return void 0!==t&&t.updated_view===this||(this._timepicker.disabled=this.model.get("disabled"),this._timepicker.min=this.model.get("min"),this._timepicker.max=this.model.get("max"),this._timepicker.step=this.model.get("step")),super.update()}events(){return this._picker_change,this._picker_focusout,{'change [type="time"]':"_picker_change",'focusout [type="time"]':"_picker_focusout"}}_update_value(e,t,n){void 0!==n&&n.updated_view===this||(this._timepicker.value=this.model.get("value"))}_picker_change(){this._timepicker.validity.badInput||(this.model.set("value",this._timepicker.value,{updated_view:this}),this.touch())}_picker_focusout(){this._timepicker.validity.badInput&&(this.model.set("value",null,{updated_view:this}),this.touch())}}function le(e){return null===e?null:{year:e.getUTCFullYear(),month:e.getUTCMonth(),date:e.getUTCDate(),hours:e.getUTCHours(),minutes:e.getUTCMinutes(),seconds:e.getUTCSeconds(),milliseconds:e.getUTCMilliseconds()}}function ue(e){if(null===e)return null;{const t=new Date;return t.setUTCFullYear(e.year,e.month,e.date),t.setUTCHours(e.hours,e.minutes,e.seconds,e.milliseconds),t}}const ce={serialize:le,deserialize:ue};class de extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"DatetimeModel",_view_name:"DatetimeView",value:null,disabled:!1,min:null,max:null})}}de.serializers=Object.assign(Object.assign({},m.serializers),{value:ce,min:ce,max:ce});class he extends c{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-inline-hbox"),this.el.classList.add("widget-datetimepicker");const e=document.createElement("input");e.type="datetime-local","text"===e.type?(this._datepicker=document.createElement("input"),this._datepicker.setAttribute("type","date"),this._datepicker.id=this.label.htmlFor=(0,i.uuid)(),this._timepicker=document.createElement("input"),this._timepicker.setAttribute("type","time"),this._timepicker.id=(0,i.uuid)(),this.el.appendChild(this._datepicker),this.el.appendChild(this._timepicker)):(this._datetimepicker=e,this._datetimepicker.id=this.label.htmlFor=(0,i.uuid)(),this.el.appendChild(this._datetimepicker)),this.listenTo(this.model,"change:value",this._update_value),this.listenTo(this.model,"change",this.update2),this._update_value(),this.update2()}update2(e,t){if(void 0===t||t.updated_view!==this){const e=this.model.get("min"),t=this.model.get("max");this._datetimepicker?(this._datetimepicker.disabled=this.model.get("disabled"),this._datetimepicker.min=pe.dt_as_dt_string(e),this._datetimepicker.max=pe.dt_as_dt_string(t)):(this._datepicker.disabled=this.model.get("disabled"),this._datepicker.min=pe.dt_as_date_string(e),this._datepicker.max=pe.dt_as_date_string(t),this._timepicker.disabled=this.model.get("disabled"))}}events(){return this._picker_change,this._picker_focusout,{'change [type="date"]':"_picker_change",'change [type="time"]':"_picker_change",'change [type="datetime-local"]':"_picker_change",'focusout [type="date"]':"_picker_focusout",'focusout [type="datetime-local"]':"_picker_focusout",'focusout [type="time"]':"_picker_focusout"}}_update_value(e,t,n){if(void 0===n||n.updated_view!==this){const e=this.model.get("value");this._datetimepicker?this._datetimepicker.value=pe.dt_as_dt_string(e):(this._datepicker.valueAsDate=e,this._timepicker.value=pe.dt_as_time_string(e))}}_picker_change(){if(this._datetimepicker){if(!this._datetimepicker.validity.badInput){const e=this._datetimepicker.value;let t=e?new Date(e):null;t&&isNaN(t.valueOf())&&(t=null),this.model.set("value",t,{updated_view:this}),this.touch()}}else if(!this._datepicker.validity.badInput&&!this._timepicker.validity.badInput){const e=this._datepicker.valueAsDate,t=ie(this._timepicker.value);null!==e&&null!==t&&e.setHours(t.hours,t.minutes,t.seconds,t.milliseconds),this.model.set("value",null!==t&&e,{updated_view:this}),this.touch()}}_picker_focusout(){[this._datetimepicker,this._datepicker,this._timepicker].some((e=>e&&e.validity.badInput))&&(this.model.set("value",null),this.touch())}}var pe;function fe(e){return null===e?null:{year:e.getFullYear(),month:e.getMonth(),date:e.getDate(),hours:e.getHours(),minutes:e.getMinutes(),seconds:e.getSeconds(),milliseconds:e.getMilliseconds()}}function me(e){if(null===e)return null;{const t=new Date;return t.setFullYear(e.year,e.month,e.date),t.setHours(e.hours,e.minutes,e.seconds,e.milliseconds),t}}!function(e){function t(e){if(null===e)return"";const t=[];return t.push(`${e.getFullYear().toString().padStart(4,"0")}`),t.push(`-${(e.getMonth()+1).toString().padStart(2,"0")}`),t.push(`-${e.getDate().toString().padStart(2,"0")}`),t.push(`T${e.getHours().toString().padStart(2,"0")}`),t.push(`:${e.getMinutes().toString().padStart(2,"0")}`),(e.getSeconds()>0||e.getMilliseconds()>0)&&(t.push(`:${e.getSeconds().toString().padStart(2,"0")}`),e.getMilliseconds()>0&&t.push(`.${e.getMilliseconds().toString().padStart(3,"0")}`)),t.join("")}e.dt_as_dt_string=t,e.dt_as_date_string=function(e){return e?t(e).split("T",2)[0]:""},e.dt_as_time_string=function(e){return e?t(e).split("T",2)[1]:""}}(pe||(pe={}));const ge={serialize:fe,deserialize:me};class ve extends de{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"NaiveDatetimeModel"})}}function _e(e,t){if((n=(e=t?e.toExponential(t-1):e.toExponential()).indexOf("e"))<0)return null;var n,i=e.slice(0,n);return[i.length>1?i[0]+i.slice(2):i,+e.slice(n+1)]}ve.serializers=Object.assign(Object.assign({},m.serializers),{value:ge,min:ge,max:ge});var be,ye=/^(?:(.)?([<>=^]))?([+\-( ])?([$#])?(0)?(\d+)?(,)?(\.\d+)?(~)?([a-z%])?$/i;function we(e){if(!(t=ye.exec(e)))throw new Error("invalid format: "+e);var t;return new xe({fill:t[1],align:t[2],sign:t[3],symbol:t[4],zero:t[5],width:t[6],comma:t[7],precision:t[8]&&t[8].slice(1),trim:t[9],type:t[10]})}function xe(e){this.fill=void 0===e.fill?" 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Math.abs(e=Math.round(e))>=1e21?e.toLocaleString("en").replace(/,/g,""):e.toString(10)},e:(e,t)=>e.toExponential(t),f:(e,t)=>e.toFixed(t),g:(e,t)=>e.toPrecision(t),o:e=>Math.round(e).toString(8),p:(e,t)=>Se(100*e,t),r:Se,s:function(e,t){var n=_e(e,t);if(!n)return e+"";var i=n[0],r=n[1],s=r-(be=3*Math.max(-8,Math.min(8,Math.floor(r/3))))+1,o=i.length;return s===o?i:s>o?i+new Array(s-o+1).join("0"):s>0?i.slice(0,s)+"."+i.slice(s):"0."+new Array(1-s).join("0")+_e(e,Math.max(0,t+s-1))[0]},X:e=>Math.round(e).toString(16).toUpperCase(),x:e=>Math.round(e).toString(16)};function Ce(e){return e}var ke,Me,Te=Array.prototype.map,Oe=["y","z","a","f","p","n","µ","m","","k","M","G","T","P","E","Z","Y"];ke=function(e){var t,n,i=void 0===e.grouping||void 0===e.thousands?Ce:(t=Te.call(e.grouping,Number),n=e.thousands+"",function(e,i){for(var r=e.length,s=[],o=0,a=t[0],l=0;r>0&&a>0&&(l+a+1>i&&(a=Math.max(1,i-l)),s.push(e.substring(r-=a,r+a)),!((l+=a+1)>i));)a=t[o=(o+1)%t.length];return 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r>0?e.slice(0,r)+e.slice(t+1):e}(e)),E&&0==+e&&"+"!==d&&(E=!1),h=(E?"("===d?d:u:"-"===d||"("===d?"":d)+h,S=("s"===_?Oe[8+be/3]:"")+S+(E&&"("===d?")":""),x)for(r=-1,s=e.length;++r(l=e.charCodeAt(r))||l>57){S=(46===l?o+e.slice(r+1):e.slice(r))+S,e=e.slice(0,r);break}}m&&!p&&(e=i(e,1/0));var C=h.length+e.length+S.length,k=C>1)+h+e+S+k.slice(C);break;default:e=k+h+e+S}return a(e)}return g=void 0===g?6:/[gprs]/.test(_)?Math.max(1,Math.min(21,g)):Math.max(0,Math.min(20,g)),S.toString=function(){return e+""},S}return{format:d,formatPrefix:function(e,t){var n,i=d(((e=we(e)).type="f",e)),r=3*Math.max(-8,Math.min(8,Math.floor((n=t,((n=_e(Math.abs(n)))?n[1]:NaN)/3)))),s=Math.pow(10,-r),o=Oe[8+r/3];return function(e){return i(s*e)+o}}}}({thousands:",",grouping:[3],currency:["$",""]}),Me=ke.format,ke.formatPrefix;var Ie=n(15715),Ae=n.n(Ie);class Pe extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"IntModel",value:0})}}class Ne extends Pe{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"BoundedIntModel",max:100,min:0})}}class Le extends l{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"SliderStyleModel"})}}Le.styleProperties=Object.assign(Object.assign({},l.styleProperties),{handle_color:{selector:".noUi-handle",attribute:"background-color",default:null}});class De extends Ne{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"IntSliderModel",_view_name:"IntSliderView",step:1,orientation:"horizontal",readout:!0,readout_format:"d",continuous_update:!0,style:null,disabled:!1})}initialize(e,t){super.initialize(e,t),this.on("change:readout_format",this.update_readout_format,this),this.update_readout_format()}update_readout_format(){this.readout_formatter=Me(this.get("readout_format"))}}class Re extends De{}class je extends c{constructor(){super(...arguments),this._parse_value=parseInt}render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-inline-hbox"),this.el.classList.add("widget-slider"),this.el.classList.add("widget-hslider"),this.$slider=document.createElement("div"),this.$slider.classList.add("slider"),this.slider_container=document.createElement("div"),this.slider_container.classList.add("slider-container"),this.slider_container.appendChild(this.$slider),this.el.appendChild(this.slider_container),this.readout=document.createElement("div"),this.el.appendChild(this.readout),this.readout.classList.add("widget-readout"),this.readout.contentEditable="true",this.readout.style.display="none",this.createSlider(),this.model.on("change:orientation",this.regenSlider,this),this.model.on("change:max",this.updateSliderOptions,this),this.model.on("change:min",this.updateSliderOptions,this),this.model.on("change:step",this.updateSliderOptions,this),this.model.on("change:value",this.updateSliderValue,this),this.update()}update(e){return void 0!==e&&e.updated_view===this||(this.model.get("disabled")?(this.readout.contentEditable="false",this.$slider.setAttribute("disabled",!0)):(this.readout.contentEditable="true",this.$slider.removeAttribute("disabled")),"vertical"===this.model.get("orientation")?(this.el.classList.remove("widget-hslider"),this.el.classList.add("widget-vslider"),this.el.classList.remove("widget-inline-hbox"),this.el.classList.add("widget-inline-vbox")):(this.el.classList.remove("widget-vslider"),this.el.classList.add("widget-hslider"),this.el.classList.remove("widget-inline-vbox"),this.el.classList.add("widget-inline-hbox")),this.model.get("readout")?(this.readout.style.display="",this.displayed.then((()=>{this.readout_overflow()?this.readout.classList.add("overflow"):this.readout.classList.remove("overflow")}))):this.readout.style.display="none"),super.update()}readout_overflow(){return this.readout.scrollWidth>this.readout.clientWidth}events(){return{"blur [contentEditable=true]":"handleTextChange","keydown [contentEditable=true]":"handleKeyDown"}}handleKeyDown(e){13===e.keyCode&&(e.preventDefault(),this.handleTextChange())}createSlider(){const e=this.model.get("orientation"),t=this.model.get("behavior");Ae().create(this.$slider,{start:this.model.get("value"),connect:!0,behaviour:t,range:{min:this.model.get("min"),max:this.model.get("max")},step:this.model.get("step"),animate:!1,orientation:e,direction:"horizontal"===e?"ltr":"rtl",format:{from:e=>Number(e),to:e=>this._validate_slide_value(e)}}),this.$slider.noUiSlider.on("update",((e,t)=>{this.handleSliderUpdateEvent(e,t)})),this.$slider.noUiSlider.on("change",((e,t)=>{this.handleSliderChangeEvent(e,t)}))}regenSlider(e){this.$slider.noUiSlider.destroy(),this.createSlider()}_validate_slide_value(e){return Math.round(e)}}class Be extends je{constructor(){super(...arguments),this._range_regex=/^\s*([+-]?\d+)\s*[-:–]\s*([+-]?\d+)/}update(e){super.update(e);const t=this.model.get("value");this.readout.textContent=this.valueToString(t),this.model.get("value")!==t&&(this.model.set("value",t,{updated_view:this}),this.touch())}valueToString(e){const t=this.model.readout_formatter;return e.map((function(e){return t(e)})).join(" – ")}stringToValue(e){if(null===e)return null;const t=this._range_regex.exec(e);return t?[this._parse_value(t[1]),this._parse_value(t[2])]:null}handleTextChange(){let e=this.stringToValue(this.readout.textContent);const t=this.model.get("min"),n=this.model.get("max");null===e||isNaN(e[0])||isNaN(e[1])||e[0]>e[1]?this.readout.textContent=this.valueToString(this.model.get("value")):(e=[Math.max(Math.min(e[0],n),t),Math.max(Math.min(e[1],n),t)],e[0]!==this.model.get("value")[0]||e[1]!==this.model.get("value")[1]?(this.readout.textContent=this.valueToString(e),this.model.set("value",e),this.touch()):this.readout.textContent=this.valueToString(this.model.get("value")))}handleSliderChangeEvent(e,t){const n=e.map(this._validate_slide_value);this.readout.textContent=this.valueToString(n),this.handleSliderChanged(e,t)}handleSliderUpdateEvent(e,t){const n=e.map(this._validate_slide_value);this.readout.textContent=this.valueToString(n),this.model.get("continuous_update")&&this.handleSliderChanged(e,t)}handleSliderChanged(e,t){const n=e.map(this._validate_slide_value);this.model.set("value",n,{updated_view:this}),this.touch()}updateSliderOptions(e){this.$slider.noUiSlider.updateOptions({start:this.model.get("value"),range:{min:this.model.get("min"),max:this.model.get("max")},step:this.model.get("step")})}updateSliderValue(e,t,n){if(n.updated_view===this)return;const i=this.$slider.noUiSlider.get(),r=this.model.get("value");i[0]===r[0]&&i[1]===r[1]||this.$slider.noUiSlider.set(r)}}class ze extends je{update(e){super.update(e);const t=this.model.get("min"),n=this.model.get("max");let i=this.model.get("value");i>n?i=n:i=1){const e=n.substr(1);n=n[0]+e.replace(/[+-]/g,"")}t.value!==n&&(e.preventDefault(),t.value=n)}handleChanging(e){const t=e.target.value.trim();""===t||["-","-.",".","+.","+"].indexOf(t)>=0||this.model.get("continuous_update")&&this.handleChanged(e)}handleChanged(e){const t=e.target;let n=this._parse_value(t.value);if(isNaN(n))t.value=this.model.get("value");else{let e=n;void 0!==this.model.get("max")&&(e=Math.min(this.model.get("max"),e)),void 0!==this.model.get("min")&&(e=Math.max(this.model.get("min"),e)),e!==n&&(t.value=e,n=e),n!==this.model.get("value")&&(this.model.set("value",n,{updated_view:this}),this.touch())}}}class qe extends l{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"ProgressStyleModel"})}}qe.styleProperties=Object.assign(Object.assign({},l.styleProperties),{bar_color:{selector:".progress-bar",attribute:"background-color",default:null}});class Ve extends Ne{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"IntProgressModel",_view_name:"ProgressView",orientation:"horizontal",bar_style:"",style:null})}}class He extends c{initialize(e){super.initialize(e),this.listenTo(this.model,"change:bar_style",this.update_bar_style),this.luminoWidget.addClass("jupyter-widgets")}render(){super.render();const e="horizontal"===this.model.get("orientation")?"widget-hprogress":"widget-vprogress";this.el.classList.add(e),this.progress=document.createElement("div"),this.progress.classList.add("progress"),this.progress.style.position="relative",this.el.appendChild(this.progress),this.bar=document.createElement("div"),this.bar.classList.add("progress-bar"),this.bar.style.position="absolute",this.bar.style.bottom="0px",this.bar.style.left="0px",this.progress.appendChild(this.bar),this.update(),this.set_bar_style()}update(){const e=this.model.get("value"),t=this.model.get("max"),n=this.model.get("min"),i=100*(e-n)/(t-n);return"horizontal"===this.model.get("orientation")?(this.el.classList.remove("widget-inline-vbox"),this.el.classList.remove("widget-vprogress"),this.el.classList.add("widget-inline-hbox"),this.el.classList.add("widget-hprogress"),this.bar.style.width=i+"%",this.bar.style.height="100%"):(this.el.classList.remove("widget-inline-hbox"),this.el.classList.remove("widget-hprogress"),this.el.classList.add("widget-inline-vbox"),this.el.classList.add("widget-vprogress"),this.bar.style.width="100%",this.bar.style.height=i+"%"),super.update()}update_bar_style(){this.update_mapped_classes(He.class_map,"bar_style",this.bar)}set_bar_style(){this.set_mapped_classes(He.class_map,"bar_style",this.bar)}}He.class_map={success:["progress-bar-success"],info:["progress-bar-info"],warning:["progress-bar-warning"],danger:["progress-bar-danger"]};class We extends Ne{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"PlayModel",_view_name:"PlayView",repeat:!1,playing:!1,show_repeat:!0,interval:100,step:1,disabled:!1})}initialize(e,t){super.initialize(e,t)}loop(){if(!this.get("playing"))return;const e=this.get("value")+this.get("step");e<=this.get("max")?(this.set("value",e),this.schedule_next()):this.get("repeat")?(this.set("value",this.get("min")),this.schedule_next()):this.pause(),this.save_changes()}schedule_next(){this._timerId=window.setTimeout(this.loop.bind(this),this.get("interval"))}stop(){this.pause(),this.set("value",this.get("min")),this.save_changes()}pause(){window.clearTimeout(this._timerId),this._timerId=void 0,this.set("playing",!1),this.save_changes()}animate(){void 0===this._timerId&&(this.get("value")===this.get("max")?(this.set("value",this.get("min")),this.schedule_next(),this.save_changes()):this.loop(),this.save_changes())}play(){this.set("playing",!this.get("playing")),this.save_changes()}repeat(){this.set("repeat",!this.get("repeat")),this.save_changes()}}class Ke extends i.DOMWidgetView{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-inline-hbox"),this.el.classList.add("widget-play"),this.playPauseButton=document.createElement("button"),this.stopButton=document.createElement("button"),this.repeatButton=document.createElement("button"),this.playPauseButton.className="jupyter-button",this.stopButton.className="jupyter-button",this.repeatButton.className="jupyter-button",this.el.appendChild(this.playPauseButton),this.el.appendChild(this.stopButton),this.el.appendChild(this.repeatButton);const e=document.createElement("i");e.className="fa fa-play",this.playPauseButton.appendChild(e);const t=document.createElement("i");t.className="fa fa-stop",this.stopButton.appendChild(t);const n=document.createElement("i");n.className="fa fa-retweet",this.repeatButton.appendChild(n),this.playPauseButton.onclick=this.model.play.bind(this.model),this.stopButton.onclick=this.model.stop.bind(this.model),this.repeatButton.onclick=this.model.repeat.bind(this.model),this.listenTo(this.model,"change:playing",this.onPlayingChanged),this.listenTo(this.model,"change:repeat",this.updateRepeat),this.listenTo(this.model,"change:show_repeat",this.updateRepeat),this.updatePlaying(),this.updateRepeat(),this.update()}update(){const e=this.model.get("disabled");this.playPauseButton.disabled=e,this.stopButton.disabled=e,this.repeatButton.disabled=e,this.updatePlaying()}onPlayingChanged(){this.updatePlaying();const e=this.model.previous("playing"),t=this.model.get("playing");!e&&t?this.model.animate():this.model.pause()}updatePlaying(){const e=this.model.get("playing");this.playPauseButton.getElementsByTagName("i")[0].className=e?"fa fa-pause":"fa fa-play"}updateRepeat(){const e=this.model.get("repeat");this.repeatButton.style.display=this.model.get("show_repeat")?this.playPauseButton.style.display:"none",e?this.repeatButton.classList.add("mod-active"):this.repeatButton.classList.remove("mod-active")}}class Ge extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"FloatModel",value:0})}}class Je extends Ge{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"BoundedFloatModel",max:100,min:0})}}class Xe extends Je{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"FloatSliderModel",_view_name:"FloatSliderView",step:1,orientation:"horizontal",_range:!1,readout:!0,readout_format:".2f",slider_color:null,continuous_update:!0,disabled:!1})}initialize(e,t){super.initialize(e,t),this.on("change:readout_format",this.update_readout_format,this),this.update_readout_format()}update_readout_format(){this.readout_formatter=Me(this.get("readout_format"))}}class Ye extends Je{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"FloatLogSliderModel",_view_name:"FloatLogSliderView",step:.1,orientation:"horizontal",_range:!1,readout:!0,readout_format:".3g",slider_color:null,continuous_update:!0,disabled:!1,base:10,value:1,min:0,max:4})}initialize(e,t){super.initialize(e,t),this.on("change:readout_format",this.update_readout_format,this),this.update_readout_format()}update_readout_format(){this.readout_formatter=Me(this.get("readout_format"))}}class Qe extends Xe{}class Ze extends ze{constructor(){super(...arguments),this._parse_value=parseFloat}_validate_slide_value(e){return e}}class et extends je{constructor(){super(...arguments),this._parse_value=parseFloat}update(e){super.update(e);const t=this.model.get("value");this.readout.textContent=this.valueToString(t)}logCalc(e){const t=this.model.get("min"),n=this.model.get("max"),i=this.model.get("base");let r=Math.log(e)/Math.log(i);return r>n?r=n:rNumber(e),to:e=>e}}),this.$slider.noUiSlider.on("update",((e,t)=>{this.handleSliderUpdateEvent(e,t)})),this.$slider.noUiSlider.on("change",((e,t)=>{this.handleSliderChangeEvent(e,t)}))}valueToString(e){return(0,this.model.readout_formatter)(e)}stringToValue(e){return null===e?NaN:this._parse_value(e)}handleTextChange(){let e=this.stringToValue(this.readout.textContent);const t=this.model.get("min"),n=this.model.get("max"),i=this.model.get("base");isNaN(e)?this.readout.textContent=this.valueToString(this.model.get("value")):(e=Math.max(Math.min(e,Math.pow(i,n)),Math.pow(i,t)),e!==this.model.get("value")?(this.readout.textContent=this.valueToString(e),this.model.set("value",e),this.touch()):this.readout.textContent=this.valueToString(this.model.get("value")))}handleSliderUpdateEvent(e,t){const n=this.model.get("base"),i=Math.pow(n,this._validate_slide_value(e[0]));this.readout.textContent=this.valueToString(i),this.model.get("continuous_update")&&this.handleSliderChanged(e,t)}handleSliderChangeEvent(e,t){const n=this.model.get("base"),i=Math.pow(n,this._validate_slide_value(e[0]));this.readout.textContent=this.valueToString(i),this.handleSliderChanged(e,t)}handleSliderChanged(e,t){if(this._updating_slider)return;const n=this.model.get("base"),i=Math.pow(n,this._validate_slide_value(e[0]));this.model.set("value",i,{updated_view:this}),this.touch()}updateSliderValue(e,t,n){if(n.updated_view===this)return;const i=this.logCalc(this.model.get("value"));this.$slider.noUiSlider.set(i)}updateSliderOptions(e){this.$slider.noUiSlider.updateOptions({start:this.logCalc(this.model.get("value")),range:{min:this.model.get("min"),max:this.model.get("max")},step:this.model.get("step")})}_validate_slide_value(e){return e}}class tt extends Be{constructor(){super(...arguments),this._parse_value=parseFloat,this._range_regex=/^\s*([+-]?(?:\d*\.?\d+|\d+\.)(?:[eE][-:]?\d+)?)\s*[-:–]\s*([+-]?(?:\d*\.?\d+|\d+\.)(?:[eE][+-]?\d+)?)/}_validate_slide_value(e){return e}}class nt extends Ge{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"FloatTextModel",_view_name:"FloatTextView",disabled:!1,continuous_update:!1})}}class it extends Je{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"BoundedFloatTextModel",_view_name:"FloatTextView",disabled:!1,continuous_update:!1,step:.1})}}class rt extends Ue{constructor(){super(...arguments),this._parse_value=parseFloat,this._default_step="any"}handleKeypress(e){e.stopPropagation()}handleKeyUp(e){}}class st extends Je{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"FloatProgressModel",_view_name:"ProgressView",orientation:"horizontal",bar_style:"",style:null})}}class ot extends f{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"ControllerButtonModel",_view_name:"ControllerButtonView",value:0,pressed:!1})}}class at extends i.DOMWidgetView{render(){this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-controller-button"),this.el.style.width="fit-content",this.support=document.createElement("div"),this.support.style.position="relative",this.support.style.margin="1px",this.support.style.width="16px",this.support.style.height="16px",this.support.style.border="1px solid black",this.support.style.background="lightgray",this.el.appendChild(this.support),this.bar=document.createElement("div"),this.bar.style.position="absolute",this.bar.style.width="100%",this.bar.style.bottom="0px",this.bar.style.background="gray",this.support.appendChild(this.bar),this.update(),this.label=document.createElement("div"),this.label.textContent=this.model.get("description"),this.label.style.textAlign="center",this.el.appendChild(this.label)}update(){this.bar.style.height=100*this.model.get("value")+"%"}}class lt extends f{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"ControllerAxisModel",_view_name:"ControllerAxisView",value:0})}}class ut extends i.DOMWidgetView{render(){this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-controller-axis"),this.el.style.width="16px",this.el.style.padding="4px",this.support=document.createElement("div"),this.support.style.position="relative",this.support.style.margin="1px",this.support.style.width="4px",this.support.style.height="64px",this.support.style.border="1px solid black",this.support.style.background="lightgray",this.bullet=document.createElement("div"),this.bullet.style.position="absolute",this.bullet.style.margin="-3px",this.bullet.style.boxSizing="unset",this.bullet.style.width="10px",this.bullet.style.height="10px",this.bullet.style.background="gray",this.label=document.createElement("div"),this.label.textContent=this.model.get("description"),this.label.style.textAlign="center",this.support.appendChild(this.bullet),this.el.appendChild(this.support),this.el.appendChild(this.label),this.update()}update(){this.bullet.style.top=50*(this.model.get("value")+1)+"%"}}class ct extends f{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"ControllerModel",_view_name:"ControllerView",index:0,name:"",mapping:"",connected:!1,timestamp:0,buttons:[],axes:[]})}initialize(e,t){super.initialize(e,t),void 0===navigator.getGamepads?(this.readout="This browser does not support gamepads.",console.error(this.readout)):(this.readout="Connect gamepad and press any button.",this.get("connected")?this.update_loop():this.wait_loop())}wait_loop(){const e=this.get("index"),t=navigator.getGamepads()[e];t?this.setup(t).then((e=>{this.set(e),this.save_changes(),window.requestAnimationFrame(this.update_loop.bind(this))})):window.requestAnimationFrame(this.wait_loop.bind(this))}setup(e){return this.set({name:e.id,mapping:e.mapping,connected:e.connected,timestamp:e.timestamp}),i.resolvePromisesDict({buttons:Promise.all(e.buttons.map(((e,t)=>this._create_button_model(t)))),axes:Promise.all(e.axes.map(((e,t)=>this._create_axis_model(t))))})}update_loop(){const e=this.get("index"),t=this.get("name"),n=navigator.getGamepads()[e];n&&e===n.index&&t===n.id?(this.set({timestamp:n.timestamp,connected:n.connected}),this.save_changes(),this.get("buttons").forEach((function(e,t){e.set({value:n.buttons[t].value,pressed:n.buttons[t].pressed}),e.save_changes()})),this.get("axes").forEach((function(e,t){e.set("value",n.axes[t]),e.save_changes()})),window.requestAnimationFrame(this.update_loop.bind(this))):this.reset_gamepad()}reset_gamepad(){this.get("buttons").forEach((function(e){e.close()})),this.get("axes").forEach((function(e){e.close()})),this.set({name:"",mapping:"",connected:!1,timestamp:0,buttons:[],axes:[]}),this.save_changes(),window.requestAnimationFrame(this.wait_loop.bind(this))}_create_button_model(e){return this.widget_manager.new_widget({model_name:"ControllerButtonModel",model_module:"@jupyter-widgets/controls",model_module_version:this.get("_model_module_version"),view_name:"ControllerButtonView",view_module:"@jupyter-widgets/controls",view_module_version:this.get("_view_module_version")}).then((function(t){return t.set("description",e),t}))}_create_axis_model(e){return this.widget_manager.new_widget({model_name:"ControllerAxisModel",model_module:"@jupyter-widgets/controls",model_module_version:this.get("_model_module_version"),view_name:"ControllerAxisView",view_module:"@jupyter-widgets/controls",view_module_version:this.get("_view_module_version")}).then((function(t){return t.set("description",e),t}))}}ct.serializers=Object.assign(Object.assign({},f.serializers),{buttons:{deserialize:i.unpack_models},axes:{deserialize:i.unpack_models}});class dt extends i.DOMWidgetView{_createElement(e){return this.luminoWidget=new i.JupyterLuminoPanelWidget({view:this}),this.luminoWidget.node}_setElement(e){if(this.el||e!==this.luminoWidget.node)throw new Error("Cannot reset the DOM element.");this.el=this.luminoWidget.node,this.$el=L()(this.luminoWidget.node)}initialize(e){super.initialize(e),this.button_views=new i.ViewList(this.add_button,null,this),this.listenTo(this.model,"change:buttons",((e,t)=>{this.button_views.update(t)})),this.axis_views=new i.ViewList(this.add_axis,null,this),this.listenTo(this.model,"change:axes",((e,t)=>{this.axis_views.update(t)})),this.listenTo(this.model,"change:name",this.update_label)}render(){this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-controller"),this.label=document.createElement("div"),this.el.appendChild(this.label),this.axis_box=new P.Panel,this.axis_box.node.style.display="flex",this.luminoWidget.addWidget(this.axis_box),this.button_box=new P.Panel,this.button_box.node.style.display="flex",this.luminoWidget.addWidget(this.button_box),this.button_views.update(this.model.get("buttons")),this.axis_views.update(this.model.get("axes")),this.update_label()}update_label(){this.label.textContent=this.model.get("name")||this.model.readout}add_button(e){const t=new P.Widget;return this.button_box.addWidget(t),this.create_child_view(e).then((e=>{const n=I.Rw.firstIndexOf(this.button_box.widgets,t);return this.button_box.insertWidget(n,e.luminoWidget),t.dispose(),e})).catch((0,i.reject)("Could not add child button view to controller",!0))}add_axis(e){const t=new P.Widget;return this.axis_box.addWidget(t),this.create_child_view(e).then((e=>{const n=I.Rw.firstIndexOf(this.axis_box.widgets,t);return this.axis_box.insertWidget(n,e.luminoWidget),t.dispose(),e})).catch((0,i.reject)("Could not add child axis view to controller",!0))}remove(){super.remove(),this.button_views.remove(),this.axis_views.remove()}}class ht extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"SelectionModel",index:"",_options_labels:[],disabled:!1})}}class pt extends c{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-inline-hbox")}update(){super.update(),this.listbox&&(this.listbox.disabled=this.model.get("disabled")),this.updateTabindex(),this.updateTooltip()}updateTabindex(){if(!this.listbox)return;const e=this.model.get("tabbable");!0===e?this.listbox.setAttribute("tabIndex","0"):!1===e?this.listbox.setAttribute("tabIndex","-1"):null===e&&this.listbox.removeAttribute("tabIndex")}updateTooltip(){if(!this.listbox)return;const e=this.model.get("tooltip");e?0===this.model.get("description").length&&this.listbox.setAttribute("title",e):this.listbox.removeAttribute("title")}}class ft extends ht{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"DropdownModel",_view_name:"DropdownView",button_style:""})}}class mt extends pt{render(){super.render(),this.el.classList.add("widget-dropdown"),this.listbox=document.createElement("select"),this.listbox.id=this.label.htmlFor=(0,i.uuid)(),this.el.appendChild(this.listbox),this._updateOptions(),this.update()}update(e){(null==e?void 0:e.updated_view)!==this&&this.model.hasChanged("_options_labels")&&this._updateOptions();const t=this.model.get("index");return this.listbox.selectedIndex=null===t?-1:t,super.update()}_updateOptions(){this.listbox.textContent="";const e=this.model.get("_options_labels");for(let t=0;te.value));let i=t.length!==n.length;if(!i)for(let e=0,r=t.length;e{const n=document.createElement("label");n.textContent=e,this.container.appendChild(n);const i=document.createElement("input");i.setAttribute("type","radio"),i.value=t.toString(),i.setAttribute("data-value",encodeURIComponent(e)),n.appendChild(i)}))),t.forEach(((e,t)=>{const n='input[data-value="'+encodeURIComponent(e)+'"]',i=this.container.querySelectorAll(n);if(i.length>0){const e=i[0];e.checked=this.model.get("index")===t,e.disabled=this.model.get("disabled")}})),setTimeout(this.adjustPadding,0,this),super.update(e)}adjustPadding(e){const t=window.getComputedStyle(e.el),n=parseInt(t.marginTop,10)+parseInt(t.marginBottom,10),i=e.label.offsetHeight+n,r=window.getComputedStyle(e.container),s=parseInt(r.marginBottom,10),o=(e.el.offsetHeight+n-s)%i,a=0===o?0:i-o;e.container.style.marginBottom=a+"px"}events(){return{'click input[type="radio"]':"_handle_click"}}_handle_click(e){const t=e.target;this.model.set("index",parseInt(t.value,10),{updated_view:this}),this.touch()}handle_message(e){if("focus"==e.do)this.container.firstElementChild.focus();else if("blur"==e.do)for(let e=0;ee.value));let c=!1;for(let e=0,r=t.length;e{let i;i=0!==e.trim().length||n[t]&&0!==n[t].trim().length?s(e):" ";const l=document.createElement("i"),u=document.createElement("button");n[t]&&(l.className="fa fa-"+n[t]),u.setAttribute("type","button"),u.className="widget-toggle-button jupyter-button",r&&u.classList.add(r),u.innerHTML=i,u.setAttribute("data-value",encodeURIComponent(e)),u.setAttribute("value",t.toString()),u.appendChild(l),u.disabled=a,o[t]&&u.setAttribute("title",o[t]),this.update_style_traits(u),this.buttongroup.appendChild(u)}))),t.forEach(((e,t)=>{const n='[data-value="'+encodeURIComponent(e)+'"]',i=this.buttongroup.querySelector(n);this.model.get("index")===t?i.classList.add("mod-active"):i.classList.remove("mod-active")})),this.stylePromise.then((function(e){e&&e.style()})),super.update(e)}update_style_traits(e){for(const t in this._css_state)if(Object.prototype.hasOwnProperty.call(this._css_state,"name"))if("margin"===t)this.buttongroup.style[t]=this._css_state[t];else if("width"!==t)if(e)e.style[t]=this._css_state[t];else{const e=this.buttongroup.querySelectorAll("button");e.length&&(e[0].style[t]=this._css_state[t])}}update_button_style(){const e=this.buttongroup.querySelectorAll("button");for(let t=0;tNumber(e),to:e=>Math.round(e)}}),this.$slider.noUiSlider.on("update",((e,t)=>{this.handleSliderUpdateEvent(e,t)})),this.$slider.noUiSlider.on("change",((e,t)=>{this.handleSliderChangeEvent(e,t)}))}events(){return{slide:"handleSliderChange",slidestop:"handleSliderChanged"}}updateSelection(){const e=this.model.get("index");this.updateReadout(e)}updateReadout(e){const t=this.model.get("_options_labels")[e];this.readout.textContent=t}handleSliderUpdateEvent(e,t){const n=e[0];this.updateReadout(n),this.model.get("continuous_update")&&this.handleSliderChanged(e,t)}handleSliderChangeEvent(e,t){const n=e[0];this.updateReadout(n),this.handleSliderChanged(e,t)}handleSliderChanged(e,t){const n=e[0];this.updateReadout(n),this.model.set("index",n,{updated_view:this}),this.touch()}updateSliderOptions(e){const t=this.model.get("_options_labels").length-1;this.$slider.noUiSlider.updateOptions({start:this.model.get("index"),range:{min:0,max:t},step:1})}updateSliderValue(e,t,n){if(n.updated_view===this)return;const i=this.$slider.noUiSlider.get(),r=this.model.get("index");i!==r&&this.$slider.noUiSlider.set(r)}}class Ct extends ht{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"MultipleSelectionModel"})}}class kt extends Ct{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"SelectMultipleModel",_view_name:"SelectMultipleView",rows:null})}}class Mt extends vt{initialize(e){super.initialize(e),this.listbox.multiple=!0}render(){super.render(),this.el.classList.add("widget-select-multiple")}updateSelection(){const e=this.model.get("index")||[],t=this.listbox.options;this.listbox.selectedIndex=-1,e.forEach((e=>{t[e].selected=!0}))}_handle_change(){const e=Array.prototype.map.call(this.listbox.selectedOptions||[],(function(e){return e.index}));this.model.set("index",e,{updated_view:this}),this.touch()}}class Tt extends Ct{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"SelectionSliderModel",_view_name:"SelectionSliderView",orientation:"horizontal",readout:!0,continuous_update:!0})}}class Ot extends Et{render(){super.render()}updateSelection(e){e=e||this.model.get("index"),this.updateReadout(e)}updateReadout(e){const t=this.model.get("_options_labels"),n=t[e[0]],i=t[e[1]];this.readout.textContent=`${n}-${i}`}handleSliderUpdateEvent(e,t){const n=e.map(Math.trunc);this.updateReadout(n),this.model.get("continuous_update")&&this.handleSliderChanged(e,t)}handleSliderChanged(e,t){const n=e.map(Math.round);this.updateReadout(n),this.model.set("index",n.slice(),{updated_view:this}),this.touch()}updateSliderValue(e,t,n){if(n.updated_view===this)return;const i=this.$slider.noUiSlider.get().map(Math.round),r=this.model.get("index").map(Math.round);i[0]===r[0]&&i[1]===r[1]||this.$slider.noUiSlider.set(r)}}var It,At,Pt,Nt,Lt,Dt=n(38571);!function(e){e.copyText=function(e){var t=document.body,n=function(i){i.preventDefault(),i.stopPropagation(),i.clipboardData.setData("text",e),t.removeEventListener("copy",n,!0)};t.addEventListener("copy",n,!0),document.execCommand("copy")}}(It||(It={})),function(e){e.boxSizing=function(e){var t=window.getComputedStyle(e),n=parseFloat(t.borderTopWidth)||0,i=parseFloat(t.borderLeftWidth)||0,r=parseFloat(t.borderRightWidth)||0,s=parseFloat(t.borderBottomWidth)||0,o=parseFloat(t.paddingTop)||0,a=parseFloat(t.paddingLeft)||0,l=parseFloat(t.paddingRight)||0,u=parseFloat(t.paddingBottom)||0;return{borderTop:n,borderLeft:i,borderRight:r,borderBottom:s,paddingTop:o,paddingLeft:a,paddingRight:l,paddingBottom:u,horizontalSum:i+a+l+r,verticalSum:n+o+u+s}},e.sizeLimits=function(e){var t=window.getComputedStyle(e),n=parseFloat(t.minWidth)||0,i=parseFloat(t.minHeight)||0,r=parseFloat(t.maxWidth)||1/0,s=parseFloat(t.maxHeight)||1/0;return{minWidth:n,minHeight:i,maxWidth:r=Math.max(n,r),maxHeight:s=Math.max(i,s)}},e.hitTest=function(e,t,n){var i=e.getBoundingClientRect();return t>=i.left&&t=i.top&&n=n.bottom||(i.topn.bottom&&i.height>=n.height?e.scrollTop-=n.top-i.top:(i.topn.height||i.bottom>n.bottom&&i.height0;)if(h(n))t++;else if(h(i))c++;else if(h(r))c++;else if(h(o))d++;else if(h(a))c++;else if(h(s))d++;else if(!h(l))return 0;return(t=Math.min(t,255))<<16|(c=Math.min(c,255))<<8|Math.min(d,255)};var n=/^#[^\s\+>~#\.\[:]+/,i=/^\.[^\s\+>~#\.\[:]+/,r=/^\[[^\]]+\]/,s=/^[^\s\+>~#\.\[:]+/,o=/^(::[^\s\+>~#\.\[:]+|:first-line|:first-letter|:before|:after)/,a=/^:[^\s\+>~#\.\[:]+/,l=/^[\s\+>~\*]+/,u=/:not\(([^\)]+)\)/g}(Lt||(Lt={}));class Rt extends P.Panel{constructor(){super(...arguments),this._widgetRemoved=new Dt.Signal(this)}get widgetRemoved(){return this._widgetRemoved}onChildRemoved(e){this._widgetRemoved.emit(e.child)}}class jt extends P.Widget{constructor(e={}){super(),this._currentChanged=new Dt.Signal(this),this.addClass("jupyter-widget-TabPanel"),this.tabBar=new P.TabBar(e),this.tabBar.addClass("jupyter-widget-TabPanel-tabBar"),this.tabContents=new Rt,this.tabContents.addClass("jupyter-widget-TabPanel-tabContents"),this.tabBar.tabMoved.connect(this._onTabMoved,this),this.tabBar.currentChanged.connect(this._onCurrentChanged,this),this.tabBar.tabCloseRequested.connect(this._onTabCloseRequested,this),this.tabBar.tabActivateRequested.connect(this._onTabActivateRequested,this),this.tabContents.widgetRemoved.connect(this._onWidgetRemoved,this);const t=new P.PanelLayout;t.addWidget(this.tabBar),t.addWidget(this.tabContents),this.layout=t}get currentChanged(){return this._currentChanged}get currentIndex(){const e=this.tabBar.currentIndex;return-1===e?null:e}set currentIndex(e){this.tabBar.currentIndex=null===e?-1:e}get currentWidget(){const e=this.tabBar.currentTitle;return e?e.owner:null}set currentWidget(e){this.tabBar.currentTitle=e?e.title:null}get tabsMovable(){return this.tabBar.tabsMovable}set tabsMovable(e){this.tabBar.tabsMovable=e}get widgets(){return this.tabContents.widgets}addWidget(e){this.insertWidget(this.widgets.length,e)}insertWidget(e,t){t!==this.currentWidget&&t.hide(),this.tabContents.insertWidget(e,t),this.tabBar.insertTab(e,t.title)}_onCurrentChanged(e,t){const{previousIndex:n,previousTitle:i,currentIndex:r,currentTitle:s}=t,o=i?i.owner:null,a=s?s.owner:null;o&&o.hide(),a&&a.show(),this._currentChanged.emit({previousIndex:n,previousWidget:o,currentIndex:r,currentWidget:a}),(Pt.IS_EDGE||Pt.IS_IE)&&A.MessageLoop.flush()}_onTabActivateRequested(e,t){t.title.owner.activate()}_onTabCloseRequested(e,t){t.title.owner.close()}_onTabMoved(e,t){this.tabContents.insertWidget(t.toIndex,t.title.owner)}_onWidgetRemoved(e,t){this.tabBar.removeTab(t.title)}}class Bt{constructor(e,t={}){this._array=null,this._value=null,this._previousValue=null,this._selectionChanged=new Dt.Signal(this),this._array=e,this._insertBehavior=t.insertBehavior||"select-item-if-needed",this._removeBehavior=t.removeBehavior||"select-item-after"}get selectionChanged(){return this._selectionChanged}adjustSelectionForSet(e){const t=this.index,n=this.value;if(e!==t)return;this._updateSelectedValue();const i=this.value;this._previousValue=null,n!==i&&this._selectionChanged.emit({previousIndex:t,previousValue:n,currentIndex:t,currentValue:i})}get value(){return this._value}set value(e){null===e||null===this._array?this.index=null:this.index=I.Rw.firstIndexOf(this._array,e)}get index(){return this._index}set index(e){let t;if(null!==e&&null!==this._array?(t=Math.floor(e),(t<0||t>=this._array.length)&&(t=null)):t=null,this._index===t)return;const n=this._index,i=this._value;this._index=t,this._updateSelectedValue(),this._previousValue=i,this._selectionChanged.emit({previousIndex:n,previousValue:i,currentIndex:t,currentValue:this._value})}get insertBehavior(){return this._insertBehavior}set insertBehavior(e){this._insertBehavior=e}get removeBehavior(){return this._removeBehavior}set removeBehavior(e){this._removeBehavior=e}adjustSelectionForInsert(e,t){const n=this._value,i=this._index,r=this._insertBehavior;if("select-item"===r||"select-item-if-needed"===r&&null===i)return this._index=e,this._value=t,this._previousValue=n,void this._selectionChanged.emit({previousIndex:i,previousValue:n,currentIndex:e,currentValue:t});null!==i&&i>=e&&this._index++}clearSelection(){const e=this._index,t=this._value;this._index=null,this._value=null,this._previousValue=null,null!==e&&this._selectionChanged.emit({previousIndex:e,previousValue:t,currentIndex:this._index,currentValue:this._value})}adjustSelectionForRemove(e,t){if(null===this._index)return;const n=this._index,i=this._removeBehavior;if(n===e){if(!this._array||0===this._array.length)return this._index=null,this._value=null,this._previousValue=null,void this._selectionChanged.emit({previousIndex:e,previousValue:t,currentIndex:this._index,currentValue:this._value});if("select-item-after"===i)return this._index=Math.min(e,this._array.length-1),this._updateSelectedValue(),this._previousValue=null,void this._selectionChanged.emit({previousIndex:e,previousValue:t,currentIndex:this._index,currentValue:this._value});if("select-item-before"===i)return this._index=Math.max(0,e-1),this._updateSelectedValue(),this._previousValue=null,void this._selectionChanged.emit({previousIndex:e,previousValue:t,currentIndex:this._index,currentValue:this._value});if("select-previous-item"===i)return this._previousValue?this.value=this._previousValue:(this._index=Math.min(e,this._array.length-1),this._updateSelectedValue()),this._previousValue=null,void this._selectionChanged.emit({previousIndex:e,previousValue:t,currentIndex:this._index,currentValue:this.value});this._index=null,this._value=null,this._previousValue=null,this._selectionChanged.emit({previousIndex:e,previousValue:t,currentIndex:this._index,currentValue:this._value})}else n>e&&this._index--}_updateSelectedValue(){const e=this._index;this._value=null!==e&&this._array?this._array[e]:null}}const zt="jupyter-widget-Collapse-open";class Ft extends P.Widget{constructor(e){super(e),this._collapseChanged=new Dt.Signal(this),this.addClass("jupyter-widget-Collapse"),this._header=new P.Widget,this._header.addClass("jupyter-widget-Collapse-header"),this._header.node.addEventListener("click",this);const t=document.createElement("i");t.classList.add("fa","fa-fw","fa-caret-right"),this._header.node.appendChild(t),this._header.node.appendChild(document.createElement("span")),this._content=new P.Panel,this._content.addClass("jupyter-widget-Collapse-contents");const n=new P.PanelLayout;this.layout=n,n.addWidget(this._header),n.addWidget(this._content),e.widget&&(this.widget=e.widget),this.collapsed=!1}dispose(){this.isDisposed||(super.dispose(),this._header=null,this._widget=null,this._content=null)}get widget(){return this._widget}set widget(e){const t=this._widget;t&&(t.disposed.disconnect(this._onChildDisposed,this),t.title.changed.disconnect(this._onTitleChanged,this),t.parent=null),this._widget=e,e.disposed.connect(this._onChildDisposed,this),e.title.changed.connect(this._onTitleChanged,this),this._onTitleChanged(e.title),this._content.addWidget(e)}get collapsed(){return this._collapsed}set collapsed(e){e!==this._collapsed&&(e?this._collapse():this._uncollapse())}toggle(){this.collapsed=!this.collapsed}get collapseChanged(){return this._collapseChanged}_collapse(){this._collapsed=!0,this._content&&this._content.hide(),this.removeClass(zt),this._header.node.children[0].classList.add("fa-caret-right"),this._header.node.children[0].classList.remove("fa-caret-down"),this._collapseChanged.emit(void 0)}_uncollapse(){this._collapsed=!1,this._content&&this._content.show(),this.addClass(zt),this._header.node.children[0].classList.add("fa-caret-down"),this._header.node.children[0].classList.remove("fa-caret-right"),this._collapseChanged.emit(void 0)}handleEvent(e){"click"===e.type&&this._evtClick(e)}_evtClick(e){this.toggle()}_onTitleChanged(e){this._header.node.children[1].textContent=this._widget.title.label}_onChildDisposed(e){this.dispose()}}const $t="jupyter-widget-Accordion-child-active";class Ut extends P.Panel{constructor(e){super(e),this._selection=new Bt(this.widgets),this._selection.selectionChanged.connect(this._onSelectionChanged,this),this.addClass("jupyter-widget-Accordion")}get collapseWidgets(){return this.layout.widgets}get selection(){return this._selection}indexOf(e){return I.Rw.findFirstIndex(this.collapseWidgets,(t=>t.widget===e))}addWidget(e){const t=this._wrapWidget(e);return t.collapsed=!0,super.addWidget(t),this._selection.adjustSelectionForInsert(this.widgets.length-1,t),t}insertWidget(e,t){const n=this._wrapWidget(t);n.collapsed=!0,super.insertWidget(e,n),this._selection.adjustSelectionForInsert(e,n)}removeWidget(e){const t=this.indexOf(e);if(t>=0){const n=this.collapseWidgets[t];e.parent=null,n.dispose(),this._selection.adjustSelectionForRemove(t,null)}}_wrapWidget(e){const t=new Ft({widget:e});return t.addClass("jupyter-widget-Accordion-child"),t.collapseChanged.connect(this._onCollapseChange,this),t}_onCollapseChange(e){e.collapsed?this._selection.value===e&&e.collapsed&&(this._selection.value=null):this._selection.value=e}_onSelectionChanged(e,t){const n=t.previousValue,i=t.currentValue;n&&(n.collapsed=!0,n.removeClass($t)),i&&(i.collapsed=!1,i.addClass($t))}}class qt extends D{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"SelectionContainerModel",selected_index:null,titles:[]})}}class Vt extends qt{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"AccordionModel",_view_name:"AccordionView"})}}class Ht extends Ut{constructor(e){const t=e.view;delete e.view,super(e),this._view=t}processMessage(e){var t;super.processMessage(e),null===(t=this._view)||void 0===t||t.processLuminoMessage(e)}dispose(){this.isDisposed||(super.dispose(),this._view.remove(),this._view=null)}}class Wt extends i.DOMWidgetView{_createElement(e){return this.luminoWidget=new Ht({view:this}),this.luminoWidget.node}_setElement(e){if(this.el||e!==this.luminoWidget.node)throw new Error("Cannot reset the DOM element.");this.el=this.luminoWidget.node,this.$el=L()(this.luminoWidget.node)}initialize(e){super.initialize(e),this.children_views=new i.ViewList(this.add_child_view,this.remove_child_view,this),this.listenTo(this.model,"change:children",(()=>this.updateChildren())),this.listenTo(this.model,"change:selected_index",(()=>this.update_selected_index())),this.listenTo(this.model,"change:titles",(()=>this.update_titles()))}render(){var e;super.render();const t=this.luminoWidget;t.addClass("jupyter-widgets"),t.addClass("widget-accordion"),t.addClass("widget-container"),t.selection.selectionChanged.connect((e=>{this.updatingChildren||(this.model.set("selected_index",t.selection.index),this.touch())})),null===(e=this.children_views)||void 0===e||e.update(this.model.get("children")),this.update_titles(),this.update_selected_index()}updateChildren(){var e;this.updatingChildren=!0,this.luminoWidget.selection.index=null,null===(e=this.children_views)||void 0===e||e.update(this.model.get("children")),this.update_selected_index(),this.updatingChildren=!1}update_titles(){const e=this.luminoWidget.collapseWidgets,t=this.model.get("titles");for(let n=0;n{const t=e.luminoWidget;return t.title.label=r.title.label,n.collapseWidgets[n.indexOf(r)].widget=t,r.dispose(),e})).catch((0,i.reject)("Could not add child view to box",!0))}remove(){this.children_views=null,super.remove()}}class Kt extends qt{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"TabModel",_view_name:"TabView"})}}class Gt extends jt{constructor(e){const t=e.view;delete e.view,super(e),this._view=t,A.MessageLoop.installMessageHook(this.tabContents,((e,t)=>(this._view.processLuminoMessage(t),!0)))}dispose(){this.isDisposed||(super.dispose(),this._view.remove(),this._view=null)}}class Jt extends i.DOMWidgetView{constructor(){super(...arguments),this.updatingTabs=!1}_createElement(e){return this.luminoWidget=new Gt({view:this}),this.luminoWidget.node}_setElement(e){if(this.el||e!==this.luminoWidget.node)throw new Error("Cannot reset the DOM element.");this.el=this.luminoWidget.node,this.$el=L()(this.luminoWidget.node)}initialize(e){super.initialize(e),this.childrenViews=new i.ViewList(this.addChildView,(e=>{e.remove()}),this),this.listenTo(this.model,"change:children",(()=>this.updateTabs())),this.listenTo(this.model,"change:titles",(()=>this.updateTitles()))}render(){super.render();const e=this.luminoWidget;e.addClass("jupyter-widgets"),e.addClass("widget-container"),e.addClass("jupyter-widget-tab"),e.addClass("widget-tab"),e.tabsMovable=!0,e.tabBar.insertBehavior="none",e.tabBar.currentChanged.connect(this._onTabChanged,this),e.tabBar.tabMoved.connect(this._onTabMoved,this),e.tabBar.addClass("widget-tab-bar"),e.tabContents.addClass("widget-tab-contents"),e.tabBar.tabsMovable=!1,this.updateTabs(),this.update()}updateTabs(){var e;this.updatingTabs=!0,this.luminoWidget.currentIndex=null,null===(e=this.childrenViews)||void 0===e||e.update(this.model.get("children")),this.luminoWidget.currentIndex=this.model.get("selected_index"),this.updatingTabs=!1}addChildView(e,t){const n=this.model.get("titles")[t]||"",r=this.luminoWidget,s=new P.Widget;return s.title.label=n,r.addWidget(s),this.create_child_view(e).then((e=>{const t=e.luminoWidget;t.title.label=s.title.label,t.title.closable=!1;const n=I.Rw.firstIndexOf(r.widgets,s);return r.insertWidget(n+1,t),s.dispose(),e})).catch((0,i.reject)("Could not add child view to box",!0))}update(){return this.updateSelectedIndex(),super.update()}updateTitles(){const e=this.model.get("titles")||[];(0,I.__)(this.luminoWidget.widgets,((t,n)=>{t.title.label=e[n]||""}))}updateSelectedIndex(){this.luminoWidget.currentIndex=this.model.get("selected_index")}remove(){this.childrenViews=null,super.remove()}_onTabChanged(e,t){if(!this.updatingTabs){const e=t.currentIndex;this.model.set("selected_index",-1===e?null:e),this.touch()}}_onTabMoved(e,t){const n=this.model.get("children").slice();I.Rw.move(n,t.fromIndex,t.toIndex),this.model.set("children",n),this.touch()}}class Xt extends qt{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"StackModel",_view_name:"StackView"})}}class Yt extends B{initialize(e){super.initialize(e),this.listenTo(this.model,"change:selected_index",this.update_children)}update_children(){var e;let t;t=null===this.model.get("selected_index")?[]:[this.model.get("children")[this.model.get("selected_index")]],null===(e=this.children_views)||void 0===e||e.update(t).then((e=>{e.forEach((e=>{A.MessageLoop.postMessage(e.luminoWidget,P.Widget.ResizeMessage.UnknownSize)}))}))}}function Qt(e,t,n){e.prototype=t.prototype=n,n.constructor=e}function Zt(e,t){var n=Object.create(e.prototype);for(var i in t)n[i]=t[i];return n}function en(){}var tn=.7,nn=1/tn,rn="\\s*([+-]?\\d+)\\s*",sn="\\s*([+-]?(?:\\d*\\.)?\\d+(?:[eE][+-]?\\d+)?)\\s*",on="\\s*([+-]?(?:\\d*\\.)?\\d+(?:[eE][+-]?\\d+)?)%\\s*",an=/^#([0-9a-f]{3,8})$/,ln=new RegExp(`^rgb\\(${rn},${rn},${rn}\\)$`),un=new RegExp(`^rgb\\(${on},${on},${on}\\)$`),cn=new RegExp(`^rgba\\(${rn},${rn},${rn},${sn}\\)$`),dn=new RegExp(`^rgba\\(${on},${on},${on},${sn}\\)$`),hn=new RegExp(`^hsl\\(${sn},${on},${on}\\)$`),pn=new 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yn(En(this.r),En(this.g),En(this.b),Sn(this.opacity))},displayable(){return-.5<=this.r&&this.r<255.5&&-.5<=this.g&&this.g<255.5&&-.5<=this.b&&this.b<255.5&&0<=this.opacity&&this.opacity<=1},hex:wn,formatHex:wn,formatHex8:function(){return`#${Cn(this.r)}${Cn(this.g)}${Cn(this.b)}${Cn(255*(isNaN(this.opacity)?1:this.opacity))}`},formatRgb:xn,toString:xn})),Qt(Tn,(function(e,t,n,i){return 1===arguments.length?Mn(e):new Tn(e,t,n,null==i?1:i)}),Zt(en,{brighter(e){return e=null==e?nn:Math.pow(nn,e),new Tn(this.h,this.s,this.l*e,this.opacity)},darker(e){return e=null==e?tn:Math.pow(tn,e),new Tn(this.h,this.s,this.l*e,this.opacity)},rgb(){var e=this.h%360+360*(this.h<0),t=isNaN(e)||isNaN(this.s)?0:this.s,n=this.l,i=n+(n<.5?n:1-n)*t,r=2*n-i;return new yn(An(e>=240?e-240:e+120,r,i),An(e,r,i),An(e<120?e+240:e-120,r,i),this.opacity)},clamp(){return new 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i.DOMWidgetView{constructor(){super(...arguments),this.hoveredTag=null,this.hoveredTagIndex=null}render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("jupyter-widget-tagsinput"),this.taginputWrapper=document.createElement("div"),this.model.get("value").length?this.taginputWrapper.style.display="none":this.taginputWrapper.style.display="inline-block",this.datalistID=(0,i.uuid)(),this.taginput=document.createElement("input"),this.taginput.classList.add("jupyter-widget-tag"),this.taginput.classList.add("jupyter-widget-taginput"),this.taginput.setAttribute("list",this.datalistID),this.taginput.setAttribute("type","text"),this.autocompleteList=document.createElement("datalist"),this.autocompleteList.id=this.datalistID,this.updateAutocomplete(),this.model.on("change:allowed_tags",this.updateAutocomplete.bind(this)),this.updatePlaceholder(),this.model.on("change:placeholder",this.updatePlaceholder.bind(this)),this.taginputWrapper.classList.add("widget-text"),this.taginputWrapper.appendChild(this.taginput),this.taginputWrapper.appendChild(this.autocompleteList),this.el.onclick=this.focus.bind(this),this.el.ondrop=e=>{const t=null==this.hoveredTagIndex?this.tags.length:this.hoveredTagIndex;return this.ondrop(e,t)},this.el.ondragover=this.ondragover.bind(this),this.taginput.onchange=this.handleValueAdded.bind(this),this.taginput.oninput=this.resizeInput.bind(this),this.taginput.onkeydown=this.handleKeyEvent.bind(this),this.taginput.onblur=this.loseFocus.bind(this),this.resizeInput(),this.inputIndex=this.model.get("value").length,this.selection=null,this.preventLoosingFocus=!1,this.update()}update(){this.preventLoosingFocus=!0,Pn(this.el),this.tags=[];const e=this.model.get("value");this.inputIndex=e.length;for(const t in e){const n=parseInt(t),i=this.createTag(e[n],n,null!=this.selection&&this.selection.isSelected(n));i.draggable=!0,i.ondragstart=((e,t)=>n=>{this.ondragstart(n,e,t,this.model.model_id)})(n,e[n]),i.ondrop=(e=>t=>{this.ondrop(t,e)})(n),i.ondragover=this.ondragover.bind(this),i.ondragenter=(e=>t=>{this.ondragenter(t,e)})(n),i.ondragend=this.ondragend.bind(this),this.tags.push(i),this.el.appendChild(i)}return this.el.insertBefore(this.taginputWrapper,this.el.children[this.inputIndex]),this.model.get("value").length?this.taginputWrapper.style.display="none":this.taginputWrapper.style.display="inline-block",this.preventLoosingFocus=!1,super.update()}updateAutocomplete(){Pn(this.autocompleteList);const e=this.model.get("allowed_tags");for(const t of e){const e=document.createElement("option");e.value=t,this.autocompleteList.appendChild(e)}}updatePlaceholder(){this.taginput.placeholder=this.model.get("placeholder"),this.resizeInput()}updateTags(){const e=this.model.get("value");for(const t in this.tags){const n=parseInt(t);this.updateTag(this.tags[n],e[n],n,null!=this.selection&&this.selection.isSelected(n))}}handleValueAdded(e){const t=this.taginput.value.replace(/^\s+|\s+$/g,""),n=this.inputIndex;""!=t&&(this.inputIndex++,this.addTag(n,t)&&(this.taginput.value="",this.resizeInput(),this.focus()))}addTag(e,t){const n=this.model.get("value");let i;try{i=this.validateValue(t)}catch(e){return!1}const r=this.model.get("allowed_tags");if(r.length&&!r.includes(i))return!1;if(!this.model.get("allow_duplicates")&&n.includes(i))return!1;this.selection=null;const s=[...n];return s.splice(e,0,i),this.model.set("value",s),this.model.save_changes(),!0}resizeInput(){let e;e=0!=this.taginput.value.length?this.taginput.value:this.model.get("placeholder");const t=e.length+1;this.taginput.setAttribute("size",String(t))}handleKeyEvent(e){const t=this.model.get("value").length;if(this.taginput.value.length)return;const n=this.inputIndex;switch(e.key){case"ArrowLeft":e.ctrlKey&&e.shiftKey&&this.select(n,-n),!e.ctrlKey&&e.shiftKey&&this.select(n,-1),e.ctrlKey?this.inputIndex=0:this.inputIndex--;break;case"ArrowRight":e.ctrlKey&&e.shiftKey&&this.select(n,t-n),!e.ctrlKey&&e.shiftKey&&this.select(n,1),e.ctrlKey?this.inputIndex=t:this.inputIndex++;break;case"Backspace":this.selection?this.removeSelectedTags():this.removeTag(this.inputIndex-1);break;case"Delete":this.selection?this.removeSelectedTags():this.removeTag(this.inputIndex);break;default:return}var i,r;e.shiftKey||(this.selection=null),this.inputIndex=(i=this.inputIndex,r=t,Math.min(Math.max(i,0),r)),this.update(),this.focus()}ondragstart(e,t,n,i){null!=e.dataTransfer&&(e.dataTransfer.setData("index",String(t)),e.dataTransfer.setData("tagValue",String(n)),e.dataTransfer.setData("origin",i))}ondrop(e,t){if(null==e.dataTransfer)return;e.preventDefault(),e.stopPropagation();const n=e.dataTransfer.getData("tagValue"),i=parseInt(e.dataTransfer.getData("index")),r=e.dataTransfer.getData("origin")==this.model.model_id;if(!isNaN(i)){if(r){const e=[...this.model.get("value")];return i=0;t--)null!=this.selection&&this.selection.isSelected(t)&&(e.splice(t,1),t()=>{this.removeTag(e),this.loseFocus()})(t),i}getTagText(e){return e}updateTag(e,t,n,i){i?e.classList.add("mod-active"):e.classList.remove("mod-active")}}jn.class_map={primary:"mod-primary",success:"mod-success",info:"mod-info",warning:"mod-warning",danger:"mod-danger"};class Bn extends Ln{defaults(){return Object.assign(Object.assign({},super.defaults()),{value:[],_view_name:"ColorsInputView",_model_name:"ColorsInputModel"})}}class zn extends Dn{createTag(e,t,n){const i=document.createElement("div"),r=e,s=vn(e).darker().toString();i.classList.add("jupyter-widget-tag"),i.classList.add("jupyter-widget-colortag"),n?(i.classList.add("mod-active"),i.style.backgroundColor=s):i.style.backgroundColor=r;const o=document.createElement("i");return o.classList.add("fa"),o.classList.add("fa-times"),o.classList.add("jupyter-widget-tag-close"),i.appendChild(o),o.onmousedown=(e=>()=>{this.removeTag(e),this.loseFocus()})(t),i}updateTag(e,t,n,i){const r=t,s=vn(t).darker().toString();i?(e.classList.add("mod-active"),e.style.backgroundColor=s):(e.classList.remove("mod-active"),e.style.backgroundColor=r)}validateValue(e){if(null==vn(e))throw e+" is not a valid Color";return e}}class Fn extends Rn{defaults(){return Object.assign(Object.assign({},super.defaults()),{min:null,max:null})}}class $n extends jn{render(){this.model.on("change:format",(()=>{this.formatter=Me(this.model.get("format")),this.update()})),this.formatter=Me(this.model.get("format")),super.render()}getTagText(e){return this.formatter(this.parseNumber(e))}validateValue(e){const t=this.parseNumber(e),n=this.model.get("min"),i=this.model.get("max");if(isNaN(t)||null!=n&&ti)throw e+" is not a valid number, it should be in the range ["+n+", "+i+"]";return t}}class Un extends Fn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"FloatsInputView",_model_name:"FloatsInputModel",format:".1f"})}}class qn extends $n{parseNumber(e){return parseFloat(e)}}class Vn extends Fn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"IntsInputView",_model_name:"IntsInputModel",format:"d"})}}class Hn extends $n{parseNumber(e){const t=parseInt(e);if(t!=parseFloat(e))throw e+" should be an integer";return t}}class Wn extends l{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"StringStyleModel",_model_module:"@jupyter-widgets/controls",_model_module_version:a.A})}}Wn.styleProperties=Object.assign(Object.assign({},l.styleProperties),{background:{selector:"",attribute:"background",default:null},font_size:{selector:"",attribute:"font-size",default:""},text_color:{selector:"",attribute:"color",default:""}});class Kn extends Wn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"HTMLStyleModel",_model_module:"@jupyter-widgets/controls",_model_module_version:a.A})}}Kn.styleProperties=Object.assign({},Wn.styleProperties);class Gn extends Wn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"HTMLMathStyleModel",_model_module:"@jupyter-widgets/controls",_model_module_version:a.A})}}Gn.styleProperties=Object.assign({},Wn.styleProperties);class Jn extends Wn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"LabelStyleModel",_model_module:"@jupyter-widgets/controls",_model_module_version:a.A})}}Jn.styleProperties=Object.assign(Object.assign({},Wn.styleProperties),{font_family:{selector:"",attribute:"font-family",default:""},font_style:{selector:"",attribute:"font-style",default:""},font_variant:{selector:"",attribute:"font-variant",default:""},font_weight:{selector:"",attribute:"font-weight",default:""},text_decoration:{selector:"",attribute:"text-decoration",default:""}});class Xn extends l{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"TextStyleModel",_model_module:"@jupyter-widgets/controls",_model_module_version:a.A})}}Xn.styleProperties=Object.assign(Object.assign({},l.styleProperties),{background:{selector:".widget-input",attribute:"background",default:null},font_size:{selector:".widget-input",attribute:"font-size",default:""},text_color:{selector:".widget-input",attribute:"color",default:""}});class Yn extends m{defaults(){return Object.assign(Object.assign({},super.defaults()),{value:"",disabled:!1,placeholder:"​",_model_name:"StringModel"})}}class Qn extends c{render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-inline-hbox")}}class Zn extends Yn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"HTMLView",_model_name:"HTMLModel"})}}class ei extends Qn{render(){super.render(),this.el.classList.add("widget-html"),this.content=document.createElement("div"),this.content.classList.add("widget-html-content"),this.el.appendChild(this.content),this.update()}update(){return this.content.innerHTML=this.model.get("value"),super.update()}handle_message(e){"focus"===e.do?this.content.focus():"blur"===e.do&&this.content.blur()}}class ti extends Yn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"HTMLMathView",_model_name:"HTMLMathModel"})}}class ni extends Qn{render(){super.render(),this.el.classList.add("widget-htmlmath"),this.content=document.createElement("div"),this.content.classList.add("widget-htmlmath-content"),this.el.appendChild(this.content),this.update()}update(){return this.content.innerHTML=this.model.get("value"),this.typeset(this.content),super.update()}handle_message(e){"focus"===e.do?this.content.focus():"blur"===e.do&&this.content.blur()}}class ii extends Yn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"LabelView",_model_name:"LabelModel"})}}class ri extends Qn{render(){super.render(),this.el.classList.add("widget-label"),this.update()}update(){return this.typeset(this.el,this.model.get("value")),super.update()}}class si extends Yn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"TextareaView",_model_name:"TextareaModel",rows:null,continuous_update:!0})}}class oi extends Qn{render(){super.render(),this.el.classList.add("widget-textarea"),this.textbox=document.createElement("textarea"),this.textbox.setAttribute("rows","5"),this.textbox.id=this.label.htmlFor=(0,i.uuid)(),this.textbox.classList.add("widget-input"),this.el.appendChild(this.textbox),this.update(),this.listenTo(this.model,"change:placeholder",((e,t,n)=>{this.update_placeholder(t)})),this.update_placeholder(),this.updateTooltip()}update_placeholder(e){const t=e||this.model.get("placeholder");this.textbox.setAttribute("placeholder",t.toString())}update(e){if(void 0===e||e.updated_view!==this){this.textbox.value=this.model.get("value");let e=this.model.get("rows");null===e&&(e=""),this.textbox.setAttribute("rows",e),this.textbox.disabled=this.model.get("disabled")}return this.updateTabindex(),this.updateTooltip(),super.update()}updateTabindex(){if(!this.textbox)return;const e=this.model.get("tabbable");!0===e?this.textbox.setAttribute("tabIndex","0"):!1===e?this.textbox.setAttribute("tabIndex","-1"):null===e&&this.textbox.removeAttribute("tabIndex")}updateTooltip(){if(!this.textbox)return;const e=this.model.get("tooltip");e?0===this.model.get("description").length&&this.textbox.setAttribute("title",e):this.textbox.removeAttribute("title")}events(){return{"keydown input":"handleKeyDown","keypress input":"handleKeypress","input textarea":"handleChanging","change textarea":"handleChanged"}}handleKeyDown(e){e.stopPropagation()}handleKeypress(e){e.stopPropagation()}handleChanging(e){this.model.get("continuous_update")&&this.handleChanged(e)}handleChanged(e){const t=e.target;this.model.set("value",t.value,{updated_view:this}),this.touch()}handle_message(e){"focus"===e.do?this.textbox.focus():"blur"===e.do&&this.textbox.blur()}}class ai extends Yn{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"TextView",_model_name:"TextModel",continuous_update:!0})}}class li extends Qn{constructor(){super(...arguments),this.inputType="text"}render(){super.render(),this.el.classList.add("widget-text"),this.textbox=document.createElement("input"),this.textbox.setAttribute("type",this.inputType),this.textbox.id=this.label.htmlFor=(0,i.uuid)(),this.textbox.classList.add("widget-input"),this.el.appendChild(this.textbox),this.update(),this.listenTo(this.model,"change:placeholder",((e,t,n)=>{this.update_placeholder(t)})),this.update_placeholder(),this.updateTabindex(),this.updateTooltip()}update_placeholder(e){this.textbox.setAttribute("placeholder",e||this.model.get("placeholder"))}updateTabindex(){if(!this.textbox)return;const e=this.model.get("tabbable");!0===e?this.textbox.setAttribute("tabIndex","0"):!1===e?this.textbox.setAttribute("tabIndex","-1"):null===e&&this.textbox.removeAttribute("tabIndex")}updateTooltip(){if(!this.textbox)return;const e=this.model.get("tooltip");e?0===this.model.get("description").length&&this.textbox.setAttribute("title",e):this.textbox.removeAttribute("title")}update(e){return void 0!==e&&e.updated_view===this||(this.textbox.value!==this.model.get("value")&&(this.textbox.value=this.model.get("value")),this.textbox.disabled=this.model.get("disabled")),super.update()}events(){return{"keydown input":"handleKeyDown","keypress input":"handleKeypress","input input":"handleChanging","change input":"handleChanged"}}handleKeyDown(e){e.stopPropagation()}handleKeypress(e){e.stopPropagation(),13===e.keyCode&&this.send({event:"submit"})}handleChanging(e){this.model.get("continuous_update")&&this.handleChanged(e)}handleChanged(e){const t=e.target;this.model.set("value",t.value,{updated_view:this}),this.touch()}handle_message(e){"focus"===e.do?this.textbox.focus():"blur"===e.do&&this.textbox.blur()}}class ui extends ai{defaults(){return Object.assign(Object.assign({},super.defaults()),{_view_name:"PasswordView",_model_name:"PasswordModel"})}}class ci extends li{constructor(){super(...arguments),this.inputType="password"}}class di extends ai{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"ComboboxModel",_view_name:"ComboboxView",options:[],ensure_options:!1})}}class hi extends li{constructor(){super(...arguments),this.isInitialRender=!0}render(){this.datalist=document.createElement("datalist"),this.datalist.id=(0,i.uuid)(),super.render(),this.textbox.setAttribute("list",this.datalist.id),this.el.appendChild(this.datalist),this.updateTooltip()}update(e){if(super.update(e),!this.datalist)return;const t=this.isValid(this.model.get("value"));if(this.highlightValidState(t),void 0!==e&&e.updated_view||!this.model.hasChanged("options")&&!this.isInitialRender)return;this.isInitialRender=!1;const n=this.model.get("options"),i=document.createDocumentFragment();for(const e of n){const t=document.createElement("option");t.value=e,i.appendChild(t)}this.datalist.replaceChildren(...i.children)}isValid(e){return!0!==this.model.get("ensure_option")||-1!==this.model.get("options").indexOf(e)}handleChanging(e){const t=e.target,n=this.isValid(t.value);this.highlightValidState(n),n&&super.handleChanging(e)}handleChanged(e){const t=e.target,n=this.isValid(t.value);this.highlightValidState(n),n&&super.handleChanged(e)}handle_message(e){"focus"===e.do?this.textbox.focus():"blur"===e.do&&this.textbox.blur()}highlightValidState(e){this.textbox.classList.toggle("jpwidgets-invalidComboValue",!e)}}class pi extends f{defaults(){return Object.assign(Object.assign({},super.defaults()),{_model_name:"FileUploadModel",_view_name:"FileUploadView",accept:"",description:"Upload",disabled:!1,icon:"upload",button_style:"",multiple:!1,value:[],error:"",style:null})}}pi.serializers=Object.assign(Object.assign({},f.serializers),{value:{serialize:e=>e}});class fi extends i.DOMWidgetView{preinitialize(){this.tagName="button"}render(){super.render(),this.el.classList.add("jupyter-widgets"),this.el.classList.add("widget-upload"),this.el.classList.add("jupyter-button"),this.fileInput=document.createElement("input"),this.fileInput.type="file",this.fileInput.style.display="none",this.el.addEventListener("click",(()=>{this.fileInput.click()})),this.fileInput.addEventListener("click",(()=>{this.fileInput.value=""})),this.fileInput.addEventListener("change",(()=>{var e;const t=[];Array.from(null!==(e=this.fileInput.files)&&void 0!==e?e:[]).forEach((e=>{t.push(new Promise(((t,n)=>{const i=new FileReader;i.onload=()=>{const n=i.result;t({content:n,name:e.name,type:e.type,size:e.size,last_modified:e.lastModified})},i.onerror=()=>{n()},i.onabort=i.onerror,i.readAsArrayBuffer(e)})))})),Promise.all(t).then((e=>{this.model.set({value:e,error:""}),this.touch()})).catch((e=>{console.error("error in file upload: %o",e),this.model.set({error:e}),this.touch()}))})),this.listenTo(this.model,"change:button_style",this.update_button_style),this.set_button_style(),this.update()}update(){this.el.disabled=this.model.get("disabled"),this.el.setAttribute("title",this.model.get("tooltip"));const e=this.model.get("value"),t=`${this.model.get("description")} (${e.length})`,n=this.model.get("icon");if(t.length||n.length){if(this.el.textContent="",n.length){const e=document.createElement("i");e.classList.add("fa"),e.classList.add("fa-"+n),0===t.length&&e.classList.add("center"),this.el.appendChild(e)}this.el.appendChild(document.createTextNode(t))}return 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At least one must exist.");e.model_id=r;const s=this._make_model(e,t);return this.register_model(r,s),await s}async _loadFromKernel(){let e,t;try{const n=await this._create_comm("jupyter.widget.control",(0,v.uuid)(),{},{version:"1.0.0"});await new Promise(((i,r)=>{n.on_msg((n=>{e=n.content.data,"update_states"===e.method?(t=(n.buffers||[]).map((e=>e instanceof DataView?e:new DataView(e instanceof ArrayBuffer?e:e.buffer))),i(null)):console.warn(`\n Unknown ${e.method} message on the Control channel\n `)})),n.on_close((()=>r("Control comm was closed too early"))),n.send({method:"request_states"},{}),setTimeout((()=>r("Control comm did not respond in time")),4e3)})),n.close()}catch(e){return this._loadFromKernelModels()}const n=e.states,i={},r={};for(let n=0;n({widget_id:e,comm:this.has_model(e)?void 0:await this._create_comm("jupyter.widget",e)}))));await Promise.all(s.map((async({widget_id:e,comm:t})=>{const s=n[e];e in i&&(0,v.put_buffers)(s,i[e],r[e]);try{if(t)await 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this.new_model({model_name:t.data.state._model_name,model_module:t.data.state._model_module,model_module_version:t.data.state._model_module_version,comm:e.comm},t.data.state)})))}async _make_model(e,t={}){const n=e.model_id,i=this.loadModelClass(e.model_name,e.model_module,e.model_module_version);let r;const s=(e,t)=>new(v.createErrorWidgetModel(e,t));try{r=await i}catch(e){const t="Could not instantiate widget";return console.error(t),s(e,t)}if(!r){const t="Could not instantiate widget";return console.error(t),s(new Error(`Cannot find model module ${e.model_module}@${e.model_module_version}, ${e.model_name}`),t)}let o;try{const i=await r._deserialize_state(t,this);o=new r(i,{widget_manager:this,model_id:n,comm:e.comm})}catch(t){console.error(t),o=s(t,`Model class '${e.model_name}' from module '${e.model_module}' is loaded but can not be instantiated`)}return o.name=e.model_name,o.module=e.model_module,o}clear_state(){return(0,v.resolvePromisesDict)(this._models).then((e=>{Object.keys(e).forEach((t=>e[t].close())),this._models=Object.create(null)}))}get_state(e={}){const t=Object.keys(this._models).map((e=>this._models[e]));return Promise.all(t).then((t=>T(t,e)))}set_state(e){if(!(e.version_major&&e.version_major<=2))throw"Unsupported widget state format";const t=e.state,n=this._get_comm_info().then((e=>Promise.all(Object.keys(t).map((n=>{const i={base64:w,hex:b},r=t[n],s=r.state;if(r.buffers){const e=r.buffers.map((e=>e.path)),t=r.buffers.map((e=>new DataView(i[e.encoding](e.data))));(0,v.put_buffers)(r.state,e,t)}if(this.has_model(n))return this.get_model(n).then((e=>e.constructor._deserialize_state(s||{},this).then((t=>(e.set_state(t),e)))));const o={model_id:n,model_name:r.model_name,model_module:r.model_module,model_module_version:r.model_module_version};return Object.prototype.hasOwnProperty.call(e,"model_id")?this._create_comm(this.comm_target_name,n).then((e=>(o.comm=e,this.new_model(o)))):this.new_model(o,s)})))));return n}disconnect(){Object.keys(this._models).forEach((e=>{this._models[e].then((e=>{e.comm_live=!1}))}))}resolveUrl(e){return Promise.resolve(e)}inline_sanitize(e){const t=function(e){const t=[];let n,i=null,r=null,s=null,o=0;/`/.test(e)?(e=e.replace(/~/g,"~T").replace(/(^|[^\\])(`+)([^\n]*?[^`\n])\2(?!`)/gm,(e=>e.replace(/\$/g,"~D"))),n=e=>e.replace(/~([TD])/g,((e,t)=>"T"===t?"~":"$"))):n=e=>e;let a=e.replace(/\r\n?/g,"\n").split(x);for(let e=1,l=a.length;e{let n=r[t];return"\\\\("===n.substr(0,3)&&"\\\\)"===n.substr(n.length-3)?n="\\("+n.substring(3,n.length-3)+"\\)":"\\\\["===n.substr(0,3)&&"\\\\]"===n.substr(n.length-3)&&(n="\\["+n.substring(3,n.length-3)+"\\]"),n}))}async loadModelClass(e,t,n){try{const i=this.loadClass(e,t,n);return await i,i}catch(n){console.error(n);const i=`Failed to load model class '${e}' from module '${t}'`;return v.createErrorWidgetModel(n,i)}}async loadViewClass(e,t,n){try{const i=this.loadClass(e,t,n);return await i,i}catch(n){console.error(n);const i=`Failed to load view class '${e}' from module '${t}'`;return v.createErrorWidgetView(n,i)}}filterExistingModelState(e){let t=e.state;return t=Object.keys(t).filter((e=>!this.has_model(e))).reduce(((e,n)=>(e[n]=t[n],e)),{}),Object.assign(Object.assign({},e),{state:t})}}function T(e,t={}){const n={};return e.forEach((e=>{const i=e.model_id,r=(0,v.remove_buffers)(e.serialize(e.get_state(t.drop_defaults))),s=r.buffers.map(((e,t)=>({data:y(e),path:r.buffer_paths[t],encoding:"base64"})));n[i]={model_name:e.name,model_module:e.module,model_module_version:e.get("_model_module_version"),state:r.state},s.length>0&&(n[i].buffers=s)})),{version_major:2,version_minor:0,state:n}}var O=n(38571),I=n(2722);class A{constructor(){this._cache=Object.create(null)}set(e,t,n){if(e in this._cache||(this._cache[e]=Object.create(null)),t in this._cache[e])throw`Version ${t} of key ${e} already registered.`;this._cache[e][t]=n}get(e,t){if(e in this._cache){const n=this._cache[e],i=(0,I.maxSatisfying)(Object.keys(n),t);if(null!==i)return n[i]}}getAllVersions(e){if(e in this._cache)return this._cache[e]}}const P="application/vnd.jupyter.widget-view+json",N="application/vnd.jupyter.widget-state+json";class L extends M{constructor(e){super(),this._handleCommOpen=async(e,t)=>{const n=new v.shims.services.Comm(e);await this.handle_comm_open(n,t)},this._restored=new O.Signal(this),this._restoredStatus=!1,this._kernelRestoreInProgress=!1,this._isDisposed=!1,this._registry=new A,this._modelsSync=new Map,this._onUnhandledIOPubMessage=new O.Signal(this),this._rendermime=e}callbacks(e){return{iopub:{output:e=>{this._onUnhandledIOPubMessage.emit(e)}}}}_handleKernelChanged({oldValue:e,newValue:t}){e&&e.removeCommTarget(this.comm_target_name,this._handleCommOpen),t&&t.registerCommTarget(this.comm_target_name,this._handleCommOpen)}disconnect(){super.disconnect(),this._restoredStatus=!1}async _loadFromKernel(){var e;if(!this.kernel)throw new Error("Kernel not set");if(!1!==(null===(e=this.kernel)||void 0===e?void 0:e.handleComms))return super._loadFromKernel()}async _create_comm(e,t,n,i,r){const s=this.kernel;if(!s)throw new Error("No current kernel");const o=s.createComm(e,t);return(n||i)&&o.open(n,i,r),new v.shims.services.Comm(o)}async _get_comm_info(){const e=this.kernel;if(!e)throw new Error("No current kernel");const t=await e.requestCommInfo({target_name:this.comm_target_name});return"ok"===t.content.status?t.content.comms:{}}get isDisposed(){return this._isDisposed}dispose(){this.isDisposed||(this._isDisposed=!0,this._commRegistration&&this._commRegistration.dispose())}async resolveUrl(e){return e}async loadClass(e,t,n){"@jupyter-widgets/base"!==t&&"@jupyter-widgets/controls"!==t||!(0,I.valid)(n)||(n=`^${n}`);const i=this._registry.getAllVersions(t);if(!i)throw new Error(`No version of module ${t} is registered`);const r=this._registry.get(t,n);if(!r){const e=Object.keys(i);throw new Error(`Module ${t}, version ${n} is not registered, however, ${e.join(",")} ${e.length>1?"are":"is"}`)}let s;s="function"==typeof r?await r():await r;const o=s[e];if(!o)throw new Error(`Class ${e} not found in module ${t}`);return o}get rendermime(){return this._rendermime}get restored(){return this._restored}get restoredStatus(){return this._restoredStatus}get onUnhandledIOPubMessage(){return this._onUnhandledIOPubMessage}register(e){this._registry.set(e.name,e.version,e.exports)}register_model(e,t){super.register_model(e,t),t.then((t=>{this._modelsSync.set(e,t),t.once("comm:close",(()=>{this._modelsSync.delete(e)}))}))}async clear_state(){await super.clear_state(),this._modelsSync=new Map}get_state_sync(e={}){const t=[];for(const e of this._modelsSync.values())e.comm_live&&t.push(e);return T(t,e)}}class D extends L{constructor(e,t){super(t),this._kernel=e,e.statusChanged.connect(((e,t)=>{this._handleKernelStatusChange(t)})),e.connectionStatusChanged.connect(((e,t)=>{this._handleKernelConnectionStatusChange(t)})),this._handleKernelChanged({name:"kernel",oldValue:null,newValue:e}),this.restoreWidgets()}_handleKernelConnectionStatusChange(e){"connected"===e&&(this._kernelRestoreInProgress||this.restoreWidgets())}_handleKernelStatusChange(e){"restarting"===e&&this.disconnect()}async restoreWidgets(){try{this._kernelRestoreInProgress=!0,await this._loadFromKernel(),this._restoredStatus=!0,this._restored.emit()}catch(e){}this._kernelRestoreInProgress=!1}dispose(){this.isDisposed||(this._kernel=null,super.dispose())}get kernel(){return this._kernel}}class R extends L{constructor(e,t,n){var i,r;super(t),this._context=e,e.sessionContext.kernelChanged.connect(((e,t)=>{this._handleKernelChanged(t)})),e.sessionContext.statusChanged.connect(((e,t)=>{this._handleKernelStatusChange(t)})),e.sessionContext.connectionStatusChanged.connect(((e,t)=>{this._handleKernelConnectionStatusChange(t)})),(null===(i=e.sessionContext.session)||void 0===i?void 0:i.kernel)&&this._handleKernelChanged({name:"kernel",oldValue:null,newValue:null===(r=e.sessionContext.session)||void 0===r?void 0:r.kernel}),this.restoreWidgets(this._context.model),this._settings=n,e.saveState.connect(((e,t)=>{"started"===t&&n.saveState&&this._saveState()}))}_saveState(){const 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e>=i.Zero&&e<=i.Nine}!function(e){e[e.Tab=9]="Tab",e[e.NewLine=10]="NewLine",e[e.FormFeed=12]="FormFeed",e[e.CarriageReturn=13]="CarriageReturn",e[e.Space=32]="Space",e[e.ExclamationMark=33]="ExclamationMark",e[e.Number=35]="Number",e[e.Amp=38]="Amp",e[e.SingleQuote=39]="SingleQuote",e[e.DoubleQuote=34]="DoubleQuote",e[e.Dash=45]="Dash",e[e.Slash=47]="Slash",e[e.Zero=48]="Zero",e[e.Nine=57]="Nine",e[e.Semi=59]="Semi",e[e.Lt=60]="Lt",e[e.Eq=61]="Eq",e[e.Gt=62]="Gt",e[e.Questionmark=63]="Questionmark",e[e.UpperA=65]="UpperA",e[e.LowerA=97]="LowerA",e[e.UpperF=70]="UpperF",e[e.LowerF=102]="LowerF",e[e.UpperZ=90]="UpperZ",e[e.LowerZ=122]="LowerZ",e[e.LowerX=120]="LowerX",e[e.OpeningSquareBracket=91]="OpeningSquareBracket"}(i||(i={})),function(e){e[e.Text=1]="Text",e[e.BeforeTagName=2]="BeforeTagName",e[e.InTagName=3]="InTagName",e[e.InSelfClosingTag=4]="InSelfClosingTag",e[e.BeforeClosingTagName=5]="BeforeClosingTagName",e[e.InClosingTagName=6]="InClosingTagName",e[e.AfterClosingTagName=7]="AfterClosingTagName",e[e.BeforeAttributeName=8]="BeforeAttributeName",e[e.InAttributeName=9]="InAttributeName",e[e.AfterAttributeName=10]="AfterAttributeName",e[e.BeforeAttributeValue=11]="BeforeAttributeValue",e[e.InAttributeValueDq=12]="InAttributeValueDq",e[e.InAttributeValueSq=13]="InAttributeValueSq",e[e.InAttributeValueNq=14]="InAttributeValueNq",e[e.BeforeDeclaration=15]="BeforeDeclaration",e[e.InDeclaration=16]="InDeclaration",e[e.InProcessingInstruction=17]="InProcessingInstruction",e[e.BeforeComment=18]="BeforeComment",e[e.CDATASequence=19]="CDATASequence",e[e.InSpecialComment=20]="InSpecialComment",e[e.InCommentLike=21]="InCommentLike",e[e.BeforeSpecialS=22]="BeforeSpecialS",e[e.SpecialStartSequence=23]="SpecialStartSequence",e[e.InSpecialTag=24]="InSpecialTag",e[e.BeforeEntity=25]="BeforeEntity",e[e.BeforeNumericEntity=26]="BeforeNumericEntity",e[e.InNamedEntity=27]="InNamedEntity",e[e.InNumericEntity=28]="InNumericEntity",e[e.InHexEntity=29]="InHexEntity"}(r||(r={})),function(e){e[e.NoValue=0]="NoValue",e[e.Unquoted=1]="Unquoted",e[e.Single=2]="Single",e[e.Double=3]="Double"}(s=t.QuoteType||(t.QuoteType={}));var c={Cdata:new Uint8Array([67,68,65,84,65,91]),CdataEnd:new Uint8Array([93,93,62]),CommentEnd:new Uint8Array([45,45,62]),ScriptEnd:new Uint8Array([60,47,115,99,114,105,112,116]),StyleEnd:new Uint8Array([60,47,115,116,121,108,101]),TitleEnd:new Uint8Array([60,47,116,105,116,108,101])},d=function(){function e(e,t){var n=e.xmlMode,i=void 0!==n&&n,s=e.decodeEntities,a=void 0===s||s;this.cbs=t,this.state=r.Text,this.buffer="",this.sectionStart=0,this.index=0,this.baseState=r.Text,this.isSpecial=!1,this.running=!0,this.offset=0,this.currentSequence=void 0,this.sequenceIndex=0,this.trieIndex=0,this.trieCurrent=0,this.entityResult=0,this.entityExcess=0,this.xmlMode=i,this.decodeEntities=a,this.entityTrie=i?o.xmlDecodeTree:o.htmlDecodeTree}return e.prototype.reset=function(){this.state=r.Text,this.buffer="",this.sectionStart=0,this.index=0,this.baseState=r.Text,this.currentSequence=void 0,this.running=!0,this.offset=0},e.prototype.write=function(e){this.offset+=this.buffer.length,this.buffer=e,this.parse()},e.prototype.end=function(){this.running&&this.finish()},e.prototype.pause=function(){this.running=!1},e.prototype.resume=function(){this.running=!0,this.indexthis.sectionStart&&this.cbs.ontext(this.sectionStart,this.index),this.state=r.BeforeTagName,this.sectionStart=this.index):this.decodeEntities&&e===i.Amp&&(this.state=r.BeforeEntity)},e.prototype.stateSpecialStartSequence=function(e){var t=this.sequenceIndex===this.currentSequence.length;if(t?l(e):(32|e)===this.currentSequence[this.sequenceIndex]){if(!t)return void this.sequenceIndex++}else this.isSpecial=!1;this.sequenceIndex=0,this.state=r.InTagName,this.stateInTagName(e)},e.prototype.stateInSpecialTag=function(e){if(this.sequenceIndex===this.currentSequence.length){if(e===i.Gt||a(e)){var t=this.index-this.currentSequence.length;if(this.sectionStart=i.LowerA&&e<=i.LowerZ||e>=i.UpperA&&e<=i.UpperZ}(e)},e.prototype.startSpecial=function(e,t){this.isSpecial=!0,this.currentSequence=e,this.sequenceIndex=t,this.state=r.SpecialStartSequence},e.prototype.stateBeforeTagName=function(e){if(e===i.ExclamationMark)this.state=r.BeforeDeclaration,this.sectionStart=this.index+1;else if(e===i.Questionmark)this.state=r.InProcessingInstruction,this.sectionStart=this.index+1;else if(this.isTagStartChar(e)){var t=32|e;this.sectionStart=this.index,this.xmlMode||t!==c.TitleEnd[2]?this.state=this.xmlMode||t!==c.ScriptEnd[2]?r.InTagName:r.BeforeSpecialS:this.startSpecial(c.TitleEnd,3)}else e===i.Slash?this.state=r.BeforeClosingTagName:(this.state=r.Text,this.stateText(e))},e.prototype.stateInTagName=function(e){l(e)&&(this.cbs.onopentagname(this.sectionStart,this.index),this.sectionStart=-1,this.state=r.BeforeAttributeName,this.stateBeforeAttributeName(e))},e.prototype.stateBeforeClosingTagName=function(e){a(e)||(e===i.Gt?this.state=r.Text:(this.state=this.isTagStartChar(e)?r.InClosingTagName:r.InSpecialComment,this.sectionStart=this.index))},e.prototype.stateInClosingTagName=function(e){(e===i.Gt||a(e))&&(this.cbs.onclosetag(this.sectionStart,this.index),this.sectionStart=-1,this.state=r.AfterClosingTagName,this.stateAfterClosingTagName(e))},e.prototype.stateAfterClosingTagName=function(e){(e===i.Gt||this.fastForwardTo(i.Gt))&&(this.state=r.Text,this.baseState=r.Text,this.sectionStart=this.index+1)},e.prototype.stateBeforeAttributeName=function(e){e===i.Gt?(this.cbs.onopentagend(this.index),this.isSpecial?(this.state=r.InSpecialTag,this.sequenceIndex=0):this.state=r.Text,this.baseState=this.state,this.sectionStart=this.index+1):e===i.Slash?this.state=r.InSelfClosingTag:a(e)||(this.state=r.InAttributeName,this.sectionStart=this.index)},e.prototype.stateInSelfClosingTag=function(e){e===i.Gt?(this.cbs.onselfclosingtag(this.index),this.state=r.Text,this.baseState=r.Text,this.sectionStart=this.index+1,this.isSpecial=!1):a(e)||(this.state=r.BeforeAttributeName,this.stateBeforeAttributeName(e))},e.prototype.stateInAttributeName=function(e){(e===i.Eq||l(e))&&(this.cbs.onattribname(this.sectionStart,this.index),this.sectionStart=-1,this.state=r.AfterAttributeName,this.stateAfterAttributeName(e))},e.prototype.stateAfterAttributeName=function(e){e===i.Eq?this.state=r.BeforeAttributeValue:e===i.Slash||e===i.Gt?(this.cbs.onattribend(s.NoValue,this.index),this.state=r.BeforeAttributeName,this.stateBeforeAttributeName(e)):a(e)||(this.cbs.onattribend(s.NoValue,this.index),this.state=r.InAttributeName,this.sectionStart=this.index)},e.prototype.stateBeforeAttributeValue=function(e){e===i.DoubleQuote?(this.state=r.InAttributeValueDq,this.sectionStart=this.index+1):e===i.SingleQuote?(this.state=r.InAttributeValueSq,this.sectionStart=this.index+1):a(e)||(this.sectionStart=this.index,this.state=r.InAttributeValueNq,this.stateInAttributeValueNoQuotes(e))},e.prototype.handleInAttributeValue=function(e,t){e===t||!this.decodeEntities&&this.fastForwardTo(t)?(this.cbs.onattribdata(this.sectionStart,this.index),this.sectionStart=-1,this.cbs.onattribend(t===i.DoubleQuote?s.Double:s.Single,this.index),this.state=r.BeforeAttributeName):this.decodeEntities&&e===i.Amp&&(this.baseState=this.state,this.state=r.BeforeEntity)},e.prototype.stateInAttributeValueDoubleQuotes=function(e){this.handleInAttributeValue(e,i.DoubleQuote)},e.prototype.stateInAttributeValueSingleQuotes=function(e){this.handleInAttributeValue(e,i.SingleQuote)},e.prototype.stateInAttributeValueNoQuotes=function(e){a(e)||e===i.Gt?(this.cbs.onattribdata(this.sectionStart,this.index),this.sectionStart=-1,this.cbs.onattribend(s.Unquoted,this.index),this.state=r.BeforeAttributeName,this.stateBeforeAttributeName(e)):this.decodeEntities&&e===i.Amp&&(this.baseState=this.state,this.state=r.BeforeEntity)},e.prototype.stateBeforeDeclaration=function(e){e===i.OpeningSquareBracket?(this.state=r.CDATASequence,this.sequenceIndex=0):this.state=e===i.Dash?r.BeforeComment:r.InDeclaration},e.prototype.stateInDeclaration=function(e){(e===i.Gt||this.fastForwardTo(i.Gt))&&(this.cbs.ondeclaration(this.sectionStart,this.index),this.state=r.Text,this.sectionStart=this.index+1)},e.prototype.stateInProcessingInstruction=function(e){(e===i.Gt||this.fastForwardTo(i.Gt))&&(this.cbs.onprocessinginstruction(this.sectionStart,this.index),this.state=r.Text,this.sectionStart=this.index+1)},e.prototype.stateBeforeComment=function(e){e===i.Dash?(this.state=r.InCommentLike,this.currentSequence=c.CommentEnd,this.sequenceIndex=2,this.sectionStart=this.index+1):this.state=r.InDeclaration},e.prototype.stateInSpecialComment=function(e){(e===i.Gt||this.fastForwardTo(i.Gt))&&(this.cbs.oncomment(this.sectionStart,this.index,0),this.state=r.Text,this.sectionStart=this.index+1)},e.prototype.stateBeforeSpecialS=function(e){var t=32|e;t===c.ScriptEnd[3]?this.startSpecial(c.ScriptEnd,4):t===c.StyleEnd[3]?this.startSpecial(c.StyleEnd,4):(this.state=r.InTagName,this.stateInTagName(e))},e.prototype.stateBeforeEntity=function(e){this.entityExcess=1,this.entityResult=0,e===i.Number?this.state=r.BeforeNumericEntity:e===i.Amp||(this.trieIndex=0,this.trieCurrent=this.entityTrie[0],this.state=r.InNamedEntity,this.stateInNamedEntity(e))},e.prototype.stateInNamedEntity=function(e){if(this.entityExcess+=1,this.trieIndex=(0,o.determineBranch)(this.entityTrie,this.trieCurrent,this.trieIndex+1,e),this.trieIndex<0)return this.emitNamedEntity(),void this.index--;this.trieCurrent=this.entityTrie[this.trieIndex];var t=this.trieCurrent&o.BinTrieFlags.VALUE_LENGTH;if(t){var n=(t>>14)-1;if(this.allowLegacyEntity()||e===i.Semi){var r=this.index-this.entityExcess+1;r>this.sectionStart&&this.emitPartial(this.sectionStart,r),this.entityResult=this.trieIndex,this.trieIndex+=n,this.entityExcess=0,this.sectionStart=this.index+1,0===n&&this.emitNamedEntity()}else this.trieIndex+=n}},e.prototype.emitNamedEntity=function(){if(this.state=this.baseState,0!==this.entityResult)switch((this.entityTrie[this.entityResult]&o.BinTrieFlags.VALUE_LENGTH)>>14){case 1:this.emitCodePoint(this.entityTrie[this.entityResult]&~o.BinTrieFlags.VALUE_LENGTH);break;case 2:this.emitCodePoint(this.entityTrie[this.entityResult+1]);break;case 3:this.emitCodePoint(this.entityTrie[this.entityResult+1]),this.emitCodePoint(this.entityTrie[this.entityResult+2])}},e.prototype.stateBeforeNumericEntity=function(e){(32|e)===i.LowerX?(this.entityExcess++,this.state=r.InHexEntity):(this.state=r.InNumericEntity,this.stateInNumericEntity(e))},e.prototype.emitNumericEntity=function(e){var t=this.index-this.entityExcess-1;t+2+Number(this.state===r.InHexEntity)!==this.index&&(t>this.sectionStart&&this.emitPartial(this.sectionStart,t),this.sectionStart=this.index+Number(e),this.emitCodePoint((0,o.replaceCodePoint)(this.entityResult))),this.state=this.baseState},e.prototype.stateInNumericEntity=function(e){e===i.Semi?this.emitNumericEntity(!0):u(e)?(this.entityResult=10*this.entityResult+(e-i.Zero),this.entityExcess++):(this.allowLegacyEntity()?this.emitNumericEntity(!1):this.state=this.baseState,this.index--)},e.prototype.stateInHexEntity=function(e){e===i.Semi?this.emitNumericEntity(!0):u(e)?(this.entityResult=16*this.entityResult+(e-i.Zero),this.entityExcess++):function(e){return e>=i.UpperA&&e<=i.UpperF||e>=i.LowerA&&e<=i.LowerF}(e)?(this.entityResult=16*this.entityResult+((32|e)-i.LowerA+10),this.entityExcess++):(this.allowLegacyEntity()?this.emitNumericEntity(!1):this.state=this.baseState,this.index--)},e.prototype.allowLegacyEntity=function(){return!this.xmlMode&&(this.baseState===r.Text||this.baseState===r.InSpecialTag)},e.prototype.cleanup=function(){this.running&&this.sectionStart!==this.index&&(this.state===r.Text||this.state===r.InSpecialTag&&0===this.sequenceIndex?(this.cbs.ontext(this.sectionStart,this.index),this.sectionStart=this.index):this.state!==r.InAttributeValueDq&&this.state!==r.InAttributeValueSq&&this.state!==r.InAttributeValueNq||(this.cbs.onattribdata(this.sectionStart,this.index),this.sectionStart=this.index))},e.prototype.shouldContinue=function(){return this.index{"use strict";function n(e){return"[object Object]"===Object.prototype.toString.call(e)}Object.defineProperty(t,"__esModule",{value:!0}),t.isPlainObject=function(e){var t,i;return!1!==n(e)&&(void 0===(t=e.constructor)||!1!==n(i=t.prototype)&&!1!==i.hasOwnProperty("isPrototypeOf"))}},11622:(e,t,n)=>{const i=n(44493),r=n(72189),{isPlainObject:s}=n(29244),o=n(52743),a=n(8287),{parse:l}=n(39274),u=["img","audio","video","picture","svg","object","map","iframe","embed"],c=["script","style"];function d(e,t){e&&Object.keys(e).forEach((function(n){t(e[n],n)}))}function h(e,t){return{}.hasOwnProperty.call(e,t)}function p(e,t){const n=[];return d(e,(function(e){t(e)&&n.push(e)})),n}e.exports=m;const f=/^[^\0\t\n\f\r /<=>]+$/;function m(e,t,n){if(null==e)return"";"number"==typeof e&&(e=e.toString());let v="",_="";function b(e,t){const 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i.attribs[r];if(""===n&&!t.allowedEmptyAttributes.includes(r)&&(t.nonBooleanAttributes.includes(r)||t.nonBooleanAttributes.includes("*")))return void delete i.attribs[r];let u=!1;if(!x||h(x,e)&&-1!==x[e].indexOf(r)||x["*"]&&-1!==x["*"].indexOf(r)||h(S,e)&&S[e].test(r)||S["*"]&&S["*"].test(r))u=!0;else if(x&&x[e])for(const t of x[e])if(s(t)&&t.name&&t.name===r){u=!0;let e="";if(!0===t.multiple){const i=n.split(" ");for(const n of i)-1!==t.values.indexOf(n)&&(""===e?e=n:e+=" "+n)}else t.values.indexOf(n)>=0&&(e=n);n=e}if(u){if(-1!==t.allowedSchemesAppliedToAttributes.indexOf(r)&&z(e,n))return void delete i.attribs[r];if("script"===e&&"src"===r){let e=!0;try{const i=F(n);if(t.allowedScriptHostnames||t.allowedScriptDomains){const n=(t.allowedScriptHostnames||[]).find((function(e){return e===i.url.hostname})),r=(t.allowedScriptDomains||[]).find((function(e){return i.url.hostname===e||i.url.hostname.endsWith(`.${e}`)}));e=n||r}}catch(t){e=!1}if(!e)return void delete 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this._isDisposed}dispose(){this.isDisposed||(this._isDisposed=!0,this._pool.dispose(),this._focusTracker.dispose(),r.Signal.clearData(this))}find(e){return this._pool.find(e)}forEach(e){return this._pool.forEach(e)}filter(e){return this._pool.filter(e)}inject(e){return this._pool.inject(e)}has(e){return this._pool.has(e)}async restore(e){const t=this._deferred;return t?(this._deferred=null,this._pool.restore(t)):e?this._pool.restore(e):void console.warn("No options provided to restore the tracker.")}defer(e){this._deferred=e}async save(e){return this._pool.save(e)}onCurrentChanged(e){}}var a=n(17883),l=n(10509),u=n(75764),c=n(26573);const d="jp-OutputArea-child",h="jp-OutputArea-output",p="jp-OutputArea-prompt";class f extends s.Widget{constructor(e){var t,n,i,a;super(),this.outputLengthChanged=new r.Signal(this),this._onIOPub=e=>{const t=this.model,n=e.header.msg_type;let i;const r=(e.content.transient||{}).display_id;let 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o({namespace:u.UUID.uuid4()}),this._inputHistoryScope="global",this._pendingInput=!1,super.layout=new s.PanelLayout,this.addClass("jp-OutputArea"),this.contentFactory=null!==(t=e.contentFactory)&&void 0!==t?t:f.defaultContentFactory,this.rendermime=e.rendermime,this._maxNumberOutputs=null!==(n=e.maxNumberOutputs)&&void 0!==n?n:1/0,this._translator=null!==(i=e.translator)&&void 0!==i?i:l.wK,this._inputHistoryScope=null!==(a=e.inputHistoryScope)&&void 0!==a?a:"global";const c=this.model=e.model;for(let e=0;e{this._pendingInput=!1})).catch((()=>{})),this.model.clear(),this.widgets.length&&(this._clear(),this.outputLengthChanged.emit(Math.min(this.model.length,this._maxNumberOutputs))),e.onIOPub=this._onIOPub,e.onReply=this._onExecuteReply,e.onStdin=t=>{a.KernelMessage.isInputRequestMsg(t)&&this.onInputRequest(t,e)})}get inputRequested(){return this._inputRequested}get pendingInput(){return this._pendingInput}get maxNumberOutputs(){return this._maxNumberOutputs}set maxNumberOutputs(e){if(e<=0)return void console.warn("OutputArea.maxNumberOutputs must be strictly positive.");const t=this._maxNumberOutputs;this._maxNumberOutputs=e,t{this._toggleScrolling.emit()})),this.node.appendChild(e),requestAnimationFrame((()=>{this._initialize.emit()}))}_moveDisplayIdIndices(e,t){this._displayIdMap.forEach((n=>{const i=e+t;for(let r=n.length-1;r>=0;--r){const s=n[r];s>=e&&s=i&&(n[r]-=t)}}))}onStateChanged(e,t){const n=Math.min(this.model.length,this._maxNumberOutputs);if(t){if(t>=this._maxNumberOutputs)return;this._setOutput(t,this.model.get(t))}else for(let e=0;e{this.isDisposed||(this.node.style.minHeight="")}),50)}onInputRequest(e,t){const n=this.contentFactory,i=e.content.prompt,r=e.content.password,o=new s.Panel;o.addClass(d),o.addClass("jp-OutputArea-stdin-item");const a=n.createOutputPrompt();a.addClass(p),o.addWidget(a),this._pendingInput=!0;const 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l.ServerConnection.makeRequest(r,s,i);if(201!==o.status)throw await l.ServerConnection.ResponseError.create(o);const a=await o.json();return u.validateContentsModel(a),this._fileChanged.emit({type:"new",oldValue:null,newValue:a}),a}async delete(e){const t=this._getUrl(e),n=this.serverSettings,i=await l.ServerConnection.makeRequest(t,{method:"DELETE"},n);if(204!==i.status)throw await l.ServerConnection.ResponseError.create(i);this._fileChanged.emit({type:"delete",oldValue:{path:e},newValue:null})}async rename(e,t){const n=this.serverSettings,i=this._getUrl(e),r={method:"PATCH",body:JSON.stringify({path:t})},s=await l.ServerConnection.makeRequest(i,r,n);if(200!==s.status)throw await l.ServerConnection.ResponseError.create(s);const o=await s.json();return u.validateContentsModel(o),this._fileChanged.emit({type:"rename",oldValue:{path:e},newValue:o}),o}async save(e,t={}){const n=this.serverSettings,i=this._getUrl(e),r={method:"PUT",body:JSON.stringify(t)},s=await l.ServerConnection.makeRequest(i,r,n);if(200!==s.status&&201!==s.status)throw await l.ServerConnection.ResponseError.create(s);const o=await s.json();return u.validateContentsModel(o),this._fileChanged.emit({type:"save",oldValue:null,newValue:o}),o}async copy(e,t){const n=this.serverSettings,i=this._getUrl(t),r={method:"POST",body:JSON.stringify({copy_from:e})},s=await l.ServerConnection.makeRequest(i,r,n);if(201!==s.status)throw await l.ServerConnection.ResponseError.create(s);const o=await s.json();return u.validateContentsModel(o),this._fileChanged.emit({type:"new",oldValue:null,newValue:o}),o}async createCheckpoint(e){const t=this._getUrl(e,"checkpoints"),n=await l.ServerConnection.makeRequest(t,{method:"POST"},this.serverSettings);if(201!==n.status)throw await l.ServerConnection.ResponseError.create(n);const i=await n.json();return u.validateCheckpointModel(i),i}async listCheckpoints(e){const t=this._getUrl(e,"checkpoints"),n=await l.ServerConnection.makeRequest(t,{},this.serverSettings);if(200!==n.status)throw await l.ServerConnection.ResponseError.create(n);const i=await n.json();if(!Array.isArray(i))throw new Error("Invalid Checkpoint list");for(let e=0;eo.URLExt.encodeParts(e))),n=this.serverSettings.baseUrl;return o.URLExt.join(n,this._apiEndpoint,...t)}}t.Drive=h,function(e){e.normalizeExtension=function(e){return e.length>0&&0!==e.indexOf(".")&&(e=`.${e}`),e}}(d||(d={}))},62706:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.validateCheckpointModel=t.validateContentsModel=void 0;const i=n(87441);t.validateContentsModel=function(e){(0,i.validateProperty)(e,"name","string"),(0,i.validateProperty)(e,"path","string"),(0,i.validateProperty)(e,"type","string"),(0,i.validateProperty)(e,"created","string"),(0,i.validateProperty)(e,"last_modified","string"),(0,i.validateProperty)(e,"mimetype","object"),(0,i.validateProperty)(e,"content","object"),(0,i.validateProperty)(e,"format","object")},t.validateCheckpointModel=function(e){(0,i.validateProperty)(e,"id","string"),(0,i.validateProperty)(e,"last_modified","string")}},69480:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.EventManager=void 0;const i=n(88925),r=n(86049),s=n(38571),o=n(22920),a="api/events";t.EventManager=class{constructor(e={}){var t;this._socket=null,this.serverSettings=null!==(t=e.serverSettings)&&void 0!==t?t:o.ServerConnection.makeSettings(),this._poll=new r.Poll({factory:()=>this._subscribe()}),this._stream=new s.Stream(this),this._poll.start()}get isDisposed(){return this._poll.isDisposed}get stream(){return this._stream}dispose(){if(this.isDisposed)return;this._poll.dispose();const e=this._socket;e&&(this._socket=null,e.onopen=()=>{},e.onerror=()=>{},e.onmessage=()=>{},e.onclose=()=>{},e.close()),s.Signal.clearData(this),this._stream.stop()}async emit(e){const{serverSettings:t}=this,{baseUrl:n}=t,{makeRequest:r,ResponseError:s}=o.ServerConnection,l=i.URLExt.join(n,a),u={body:JSON.stringify(e),method:"POST"},c=await r(l,u,t);if(204!==c.status)throw new s(c)}_subscribe(){return new Promise(((e,t)=>{if(this.isDisposed)return;const{appendToken:n,token:r,WebSocket:s,wsUrl:o}=this.serverSettings;let l=i.URLExt.join(o,a,"subscribe");n&&""!==r&&(l+=`?token=${encodeURIComponent(r)}`);const u=this._socket=new s(l),c=this._stream;u.onclose=()=>t(new Error("EventManager socket closed")),u.onmessage=e=>e.data&&c.emit(JSON.parse(e.data))}))}}},17883:function(e,t,n){"use strict";var i=this&&this.__createBinding||(Object.create?function(e,t,n,i){void 0===i&&(i=n);var r=Object.getOwnPropertyDescriptor(t,n);r&&!("get"in r?!t.__esModule:r.writable||r.configurable)||(r={enumerable:!0,get:function(){return t[n]}}),Object.defineProperty(e,i,r)}:function(e,t,n,i){void 0===i&&(i=n),e[i]=t[n]}),r=this&&this.__exportStar||function(e,t){for(var n in e)"default"===n||Object.prototype.hasOwnProperty.call(t,n)||i(t,e,n)};Object.defineProperty(t,"__esModule",{value:!0}),r(n(43867),t),r(n(72170),t),r(n(98790),t),r(n(69480),t),r(n(10973),t),r(n(92946),t),r(n(99740),t),r(n(22920),t),r(n(37668),t),r(n(67780),t),r(n(89040),t),r(n(49191),t),r(n(38053),t),r(n(68683),t)},67489:function(e,t,n){"use strict";var i=this&&this.__createBinding||(Object.create?function(e,t,n,i){void 0===i&&(i=n);var r=Object.getOwnPropertyDescriptor(t,n);r&&!("get"in r?!t.__esModule:r.writable||r.configurable)||(r={enumerable:!0,get:function(){return t[n]}}),Object.defineProperty(e,i,r)}:function(e,t,n,i){void 0===i&&(i=n),e[i]=t[n]}),r=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,"default",{enumerable:!0,value:t})}:function(e,t){e.default=t}),s=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)"default"!==n&&Object.prototype.hasOwnProperty.call(e,n)&&i(t,e,n);return r(t,e),t};Object.defineProperty(t,"__esModule",{value:!0}),t.CommHandler=void 0;const o=n(7556),a=s(n(89909));class l extends o.DisposableDelegate{constructor(e,t,n,i){super(i),this._target="",this._id="",this._id=t,this._target=e,this._kernel=n}get commId(){return this._id}get targetName(){return this._target}get onClose(){return this._onClose}set onClose(e){this._onClose=e}get onMsg(){return this._onMsg}set onMsg(e){this._onMsg=e}open(e,t,n=[]){if(this.isDisposed||this._kernel.isDisposed)throw new Error("Cannot open");const i=a.createMessage({msgType:"comm_open",channel:"shell",username:this._kernel.username,session:this._kernel.clientId,content:{comm_id:this._id,target_name:this._target,data:null!=e?e:{}},metadata:t,buffers:n});return this._kernel.sendShellMessage(i,!1,!0)}send(e,t,n=[],i=!0){if(this.isDisposed||this._kernel.isDisposed)throw new Error("Cannot send");const r=a.createMessage({msgType:"comm_msg",channel:"shell",username:this._kernel.username,session:this._kernel.clientId,content:{comm_id:this._id,data:e},metadata:t,buffers:n});return this._kernel.sendShellMessage(r,!1,i)}close(e,t,n=[]){if(this.isDisposed||this._kernel.isDisposed)throw new Error("Cannot close");const i=a.createMessage({msgType:"comm_close",channel:"shell",username:this._kernel.username,session:this._kernel.clientId,content:{comm_id:this._id,data:null!=e?e:{}},metadata:t,buffers:n}),r=this._kernel.sendShellMessage(i,!1,!0),s=this._onClose;return s&&s(a.createMessage({msgType:"comm_close",channel:"iopub",username:this._kernel.username,session:this._kernel.clientId,content:{comm_id:this._id,data:null!=e?e:{}},metadata:t,buffers:n})),this.dispose(),r}}t.CommHandler=l},12456:function(e,t,n){"use strict";var i=this&&this.__createBinding||(Object.create?function(e,t,n,i){void 0===i&&(i=n);var r=Object.getOwnPropertyDescriptor(t,n);r&&!("get"in r?!t.__esModule:r.writable||r.configurable)||(r={enumerable:!0,get:function(){return t[n]}}),Object.defineProperty(e,i,r)}:function(e,t,n,i){void 0===i&&(i=n),e[i]=t[n]}),r=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,"default",{enumerable:!0,value:t})}:function(e,t){e.default=t}),s=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)"default"!==n&&Object.prototype.hasOwnProperty.call(e,n)&&i(t,e,n);return r(t,e),t};Object.defineProperty(t,"__esModule",{value:!0}),t.KernelConnection=void 0;const o=n(88925),a=n(75764),l=n(38571),u=n(17883),c=n(67489),d=s(n(89909)),h=n(10134),p=s(n(25855)),f=n(92946),m=s(n(98235)),g="_RESTARTING_";class v{constructor(e){var t,n,i,r;this._createSocket=(e=!0)=>{this._errorIfDisposed(),this._clearSocket(),this._updateConnectionStatus("connecting");const t=this.serverSettings,n=o.URLExt.join(t.wsUrl,m.KERNEL_SERVICE_URL,encodeURIComponent(this._id)),i=n.replace(/^((?:\w+:)?\/\/)(?:[^@\/]+@)/,"$1");console.debug(`Starting WebSocket: ${i}`);let r=o.URLExt.join(n,"channels?session_id="+encodeURIComponent(this._clientId));const s=t.token;t.appendToken&&""!==s&&(r+=`&token=${encodeURIComponent(s)}`);const a=e?this._supportedProtocols:[];this._ws=new t.WebSocket(r,a),this._ws.binaryType="arraybuffer";let l=!1;const c=async e=>{var n,i;if(!this._isDisposed){this._reason="",this._model=void 0;try{const n=await m.getKernelModel(this._id,t);this._model=n,"dead"===(null==n?void 0:n.execution_state)?this._updateStatus("dead"):this._onWSClose(e)}catch(t){if(t instanceof u.ServerConnection.NetworkError||503===(null===(n=t.response)||void 0===n?void 0:n.status)||424===(null===(i=t.response)||void 0===i?void 0:i.status)){const t=1e3*_.getRandomIntInclusive(10,30);setTimeout(c,t,e)}else this._reason="Kernel died unexpectedly",this._updateStatus("dead")}}},d=async e=>{l||(l=!0,await c(e))};this._ws.onmessage=this._onWSMessage,this._ws.onopen=this._onWSOpen,this._ws.onclose=d,this._ws.onerror=d},this._onWSOpen=e=>{if(""!==this._ws.protocol&&!this._supportedProtocols.includes(this._ws.protocol))throw console.log("Server selected unknown kernel wire protocol:",this._ws.protocol),this._updateStatus("dead"),new Error(`Unknown kernel wire protocol: ${this._ws.protocol}`);this._selectedProtocol=this._ws.protocol,this._ws.onclose=this._onWSClose,this._ws.onerror=this._onWSClose,this._updateConnectionStatus("connected")},this._onWSMessage=e=>{let t;try{t=this.serverSettings.serializer.deserialize(e.data,this._ws.protocol),p.validateMessage(t)}catch(e){throw e.message=`Kernel message validation error: ${e.message}`,e}this._kernelSession=t.header.session,this._msgChain=this._msgChain.then((()=>this._handleMessage(t))).catch((e=>{e.message.startsWith("Canceled future for ")&&console.error(e)})),this._anyMessage.emit({msg:t,direction:"recv"})},this._onWSClose=e=>{this.isDisposed||this._reconnect()},this._id="",this._name="",this._status="unknown",this._connectionStatus="connecting",this._kernelSession="",this._isDisposed=!1,this._ws=null,this._username="",this._reconnectLimit=7,this._reconnectAttempt=0,this._reconnectTimeout=null,this._supportedProtocols=Object.values(d.supportedKernelWebSocketProtocols),this._selectedProtocol="",this._futures=new Map,this._comms=new Map,this._targetRegistry=Object.create(null),this._info=new a.PromiseDelegate,this._pendingMessages=[],this._statusChanged=new l.Signal(this),this._connectionStatusChanged=new l.Signal(this),this._disposed=new l.Signal(this),this._iopubMessage=new l.Signal(this),this._anyMessage=new l.Signal(this),this._pendingInput=new l.Signal(this),this._unhandledMessage=new l.Signal(this),this._displayIdToParentIds=new Map,this._msgIdToDisplayIds=new Map,this._msgChain=Promise.resolve(),this._hasPendingInput=!1,this._reason="",this._noOp=()=>{},this._name=e.model.name,this._id=e.model.id,this.serverSettings=null!==(t=e.serverSettings)&&void 0!==t?t:u.ServerConnection.makeSettings(),this._clientId=null!==(n=e.clientId)&&void 0!==n?n:a.UUID.uuid4(),this._username=null!==(i=e.username)&&void 0!==i?i:"",this.handleComms=null===(r=e.handleComms)||void 0===r||r,this._createSocket()}get disposed(){return this._disposed}get statusChanged(){return this._statusChanged}get connectionStatusChanged(){return this._connectionStatusChanged}get iopubMessage(){return this._iopubMessage}get unhandledMessage(){return this._unhandledMessage}get model(){return this._model||{id:this.id,name:this.name,reason:this._reason}}get anyMessage(){return this._anyMessage}get pendingInput(){return this._pendingInput}get id(){return this._id}get name(){return this._name}get username(){return this._username}get clientId(){return this._clientId}get status(){return this._status}get connectionStatus(){return this._connectionStatus}get isDisposed(){return this._isDisposed}get info(){return this._info.promise}get spec(){return this._specPromise||(this._specPromise=f.KernelSpecAPI.getSpecs(this.serverSettings).then((e=>e.kernelspecs[this._name]))),this._specPromise}clone(e={}){return new v({model:this.model,username:this.username,serverSettings:this.serverSettings,handleComms:!1,...e})}dispose(){this.isDisposed||(this._isDisposed=!0,this._disposed.emit(),this._updateConnectionStatus("disconnected"),this._clearKernelState(),this._pendingMessages=[],this._clearSocket(),l.Signal.clearData(this))}sendShellMessage(e,t=!1,n=!0){return this._sendKernelShellControl(h.KernelShellFutureHandler,e,t,n)}sendControlMessage(e,t=!1,n=!0){return this._sendKernelShellControl(h.KernelControlFutureHandler,e,t,n)}_sendKernelShellControl(e,t,n=!1,i=!0){this._sendMessage(t),this._anyMessage.emit({msg:t,direction:"send"});const r=new e((()=>{const e=t.header.msg_id;this._futures.delete(e);const n=this._msgIdToDisplayIds.get(e);n&&(n.forEach((t=>{const n=this._displayIdToParentIds.get(t);if(n){const i=n.indexOf(e);if(-1===i)return;1===n.length?this._displayIdToParentIds.delete(t):(n.splice(i,1),this._displayIdToParentIds.set(t,n))}})),this._msgIdToDisplayIds.delete(e))}),t,n,i,this);return this._futures.set(t.header.msg_id,r),r}_sendMessage(e,t=!0){if("dead"===this.status)throw new Error("Kernel is dead");if((""===this._kernelSession||this._kernelSession===g)&&d.isInfoRequestMsg(e)){if("connected"===this.connectionStatus)return void this._ws.send(this.serverSettings.serializer.serialize(e,this._ws.protocol));throw new Error("Could not send message: status is not connected")}if(t&&this._pendingMessages.length>0)this._pendingMessages.push(e);else if("connected"===this.connectionStatus&&this._kernelSession!==g)this._ws.send(this.serverSettings.serializer.serialize(e,this._ws.protocol));else{if(!t)throw new Error("Could not send message");this._pendingMessages.push(e)}}async interrupt(){if(this.hasPendingInput=!1,"dead"===this.status)throw new Error("Kernel is dead");return m.interruptKernel(this.id,this.serverSettings)}async restart(){if("dead"===this.status)throw new Error("Kernel is dead");this._updateStatus("restarting"),this._clearKernelState(),this._kernelSession=g,await m.restartKernel(this.id,this.serverSettings),await this.reconnect(),this.hasPendingInput=!1}reconnect(){this._errorIfDisposed();const e=new a.PromiseDelegate,t=(n,i)=>{"connected"===i?(e.resolve(),this.connectionStatusChanged.disconnect(t,this)):"disconnected"===i&&(e.reject(new Error("Kernel connection disconnected")),this.connectionStatusChanged.disconnect(t,this))};return this.connectionStatusChanged.connect(t,this),this._reconnectAttempt=0,this._reconnect(),e.promise}async shutdown(){"dead"!==this.status&&await m.shutdownKernel(this.id,this.serverSettings),this.handleShutdown()}handleShutdown(){this._updateStatus("dead"),this.dispose()}async requestKernelInfo(){const e=d.createMessage({msgType:"kernel_info_request",channel:"shell",username:this._username,session:this._clientId,content:{}});let t;try{t=await _.handleShellMessage(this,e)}catch(e){if(this.isDisposed)return;throw e}if(this._errorIfDisposed(),t)return void 0===t.content.status&&(t.content.status="ok"),"ok"!==t.content.status?(this._info.reject("Kernel info reply errored"),t):(this._info.resolve(t.content),this._kernelSession=t.header.session,t)}requestComplete(e){const t=d.createMessage({msgType:"complete_request",channel:"shell",username:this._username,session:this._clientId,content:e});return _.handleShellMessage(this,t)}requestInspect(e){const t=d.createMessage({msgType:"inspect_request",channel:"shell",username:this._username,session:this._clientId,content:e});return _.handleShellMessage(this,t)}requestHistory(e){const t=d.createMessage({msgType:"history_request",channel:"shell",username:this._username,session:this._clientId,content:e});return _.handleShellMessage(this,t)}requestExecute(e,t=!0,n){const i=d.createMessage({msgType:"execute_request",channel:"shell",username:this._username,session:this._clientId,content:{silent:!1,store_history:!0,user_expressions:{},allow_stdin:!0,stop_on_error:!1,...e},metadata:n});return this.sendShellMessage(i,!0,t)}requestDebug(e,t=!0){const n=d.createMessage({msgType:"debug_request",channel:"control",username:this._username,session:this._clientId,content:e});return this.sendControlMessage(n,!0,t)}requestIsComplete(e){const t=d.createMessage({msgType:"is_complete_request",channel:"shell",username:this._username,session:this._clientId,content:e});return _.handleShellMessage(this,t)}requestCommInfo(e){const t=d.createMessage({msgType:"comm_info_request",channel:"shell",username:this._username,session:this._clientId,content:e});return _.handleShellMessage(this,t)}sendInputReply(e,t){const n=d.createMessage({msgType:"input_reply",channel:"stdin",username:this._username,session:this._clientId,content:e});n.parent_header=t,this._sendMessage(n),this._anyMessage.emit({msg:n,direction:"send"}),this.hasPendingInput=!1}createComm(e,t=a.UUID.uuid4()){if(!this.handleComms)throw new Error("Comms are disabled on this kernel connection");if(this._comms.has(t))throw new Error("Comm is already created");const n=new c.CommHandler(e,t,this,(()=>{this._unregisterComm(t)}));return this._comms.set(t,n),n}hasComm(e){return this._comms.has(e)}registerCommTarget(e,t){this.handleComms&&(this._targetRegistry[e]=t)}removeCommTarget(e,t){this.handleComms&&(this.isDisposed||this._targetRegistry[e]!==t||delete this._targetRegistry[e])}registerMessageHook(e,t){var n;const i=null===(n=this._futures)||void 0===n?void 0:n.get(e);i&&i.registerMessageHook(t)}removeMessageHook(e,t){var n;const i=null===(n=this._futures)||void 0===n?void 0:n.get(e);i&&i.removeMessageHook(t)}removeInputGuard(){this.hasPendingInput=!1}async _handleDisplayId(e,t){var n,i;const r=t.parent_header.msg_id;let s=this._displayIdToParentIds.get(e);if(s){const e={header:a.JSONExt.deepCopy(t.header),parent_header:a.JSONExt.deepCopy(t.parent_header),metadata:a.JSONExt.deepCopy(t.metadata),content:a.JSONExt.deepCopy(t.content),channel:t.channel,buffers:t.buffers?t.buffers.slice():[]};e.header.msg_type="update_display_data",await Promise.all(s.map((async t=>{const n=this._futures&&this._futures.get(t);n&&await n.handleMsg(e)})))}if("update_display_data"===t.header.msg_type)return!0;s=null!==(n=this._displayIdToParentIds.get(e))&&void 0!==n?n:[],-1===s.indexOf(r)&&s.push(r),this._displayIdToParentIds.set(e,s);const o=null!==(i=this._msgIdToDisplayIds.get(r))&&void 0!==i?i:[];return-1===o.indexOf(r)&&o.push(r),this._msgIdToDisplayIds.set(r,o),!1}_clearSocket(){null!==this._ws&&(this._ws.onopen=this._noOp,this._ws.onclose=this._noOp,this._ws.onerror=this._noOp,this._ws.onmessage=this._noOp,this._ws.close(),this._ws=null)}_updateStatus(e){this._status!==e&&"dead"!==this._status&&(this._status=e,_.logKernelStatus(this),this._statusChanged.emit(e),"dead"===e&&this.dispose())}_sendPending(){for(;"connected"===this.connectionStatus&&this._kernelSession!==g&&this._pendingMessages.length>0;)this._sendMessage(this._pendingMessages[0],!1),this._pendingMessages.shift()}_clearKernelState(){this._kernelSession="",this._pendingMessages=[],this._futures.forEach((e=>{e.dispose()})),this._comms.forEach((e=>{e.dispose()})),this._msgChain=Promise.resolve(),this._futures=new Map,this._comms=new Map,this._displayIdToParentIds.clear(),this._msgIdToDisplayIds.clear()}_assertCurrentMessage(e){if(this._errorIfDisposed(),e.header.session!==this._kernelSession)throw new Error(`Canceling handling of old message: ${e.header.msg_type}`)}async _handleCommOpen(e){this._assertCurrentMessage(e);const t=e.content,n=new c.CommHandler(t.target_name,t.comm_id,this,(()=>{this._unregisterComm(t.comm_id)}));this._comms.set(t.comm_id,n);try{const i=await _.loadObject(t.target_name,t.target_module,this._targetRegistry);await i(n,e)}catch(e){throw n.close(),console.error("Exception opening new comm"),e}}async _handleCommClose(e){this._assertCurrentMessage(e);const t=e.content,n=this._comms.get(t.comm_id);if(!n)return void console.error("Comm not found for comm id "+t.comm_id);this._unregisterComm(n.commId);const i=n.onClose;i&&await i(e),n.dispose()}async _handleCommMsg(e){this._assertCurrentMessage(e);const t=e.content,n=this._comms.get(t.comm_id);if(!n)return;const i=n.onMsg;i&&await i(e)}_unregisterComm(e){this._comms.delete(e)}_updateConnectionStatus(e){if(this._connectionStatus!==e){if(this._connectionStatus=e,"connecting"!==e&&(this._reconnectAttempt=0,clearTimeout(this._reconnectTimeout)),"dead"!==this.status)if("connected"===e){let e=this._kernelSession===g,t=this.requestKernelInfo(),n=!1,i=()=>{n||(n=!0,e&&this._kernelSession===g&&(this._kernelSession=""),clearTimeout(r),this._pendingMessages.length>0&&this._sendPending())};t.then(i);let r=setTimeout(i,3e3)}else this._updateStatus("unknown");this._connectionStatusChanged.emit(e)}}async _handleMessage(e){var t,n;let i=!1;if(e.parent_header&&"iopub"===e.channel&&(d.isDisplayDataMsg(e)||d.isUpdateDisplayDataMsg(e)||d.isExecuteResultMsg(e))){const n=(null!==(t=e.content.transient)&&void 0!==t?t:{}).display_id;n&&(i=await this._handleDisplayId(n,e),this._assertCurrentMessage(e))}if(!i&&e.parent_header){const t=e.parent_header,i=null===(n=this._futures)||void 0===n?void 0:n.get(t.msg_id);if(i)await i.handleMsg(e),this._assertCurrentMessage(e);else{const n=t.session===this.clientId;"iopub"!==e.channel&&n&&this._unhandledMessage.emit(e)}}if("iopub"===e.channel){switch(e.header.msg_type){case"status":{const t=e.content.execution_state;"restarting"===t&&Promise.resolve().then((async()=>{this._updateStatus("autorestarting"),this._clearKernelState(),await this.reconnect()})),this._updateStatus(t);break}case"comm_open":this.handleComms&&await this._handleCommOpen(e);break;case"comm_msg":this.handleComms&&await this._handleCommMsg(e);break;case"comm_close":this.handleComms&&await this._handleCommClose(e)}this.isDisposed||(this._assertCurrentMessage(e),this._iopubMessage.emit(e))}}_reconnect(){if(this._errorIfDisposed(),clearTimeout(this._reconnectTimeout),this._reconnectAttempt{if(t){if("undefined"==typeof requirejs)throw new Error("requirejs not found");requirejs([t],(n=>{void 0===n[e]?r(new Error(`Object '${e}' not found in module '${t}'`)):i(n[e])}),r)}else(null==n?void 0:n[e])?i(n[e]):r(new Error(`Object '${e}' not found in registry`))}))},e.getRandomIntInclusive=function(e,t){return e=Math.ceil(e),t=Math.floor(t),Math.floor(Math.random()*(t-e+1))+e}}(_||(_={}))},10134:function(e,t,n){"use strict";var i=this&&this.__createBinding||(Object.create?function(e,t,n,i){void 0===i&&(i=n);var r=Object.getOwnPropertyDescriptor(t,n);r&&!("get"in r?!t.__esModule:r.writable||r.configurable)||(r={enumerable:!0,get:function(){return t[n]}}),Object.defineProperty(e,i,r)}:function(e,t,n,i){void 0===i&&(i=n),e[i]=t[n]}),r=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,"default",{enumerable:!0,value:t})}:function(e,t){e.default=t}),s=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)"default"!==n&&Object.prototype.hasOwnProperty.call(e,n)&&i(t,e,n);return r(t,e),t};Object.defineProperty(t,"__esModule",{value:!0}),t.KernelShellFutureHandler=t.KernelControlFutureHandler=t.KernelFutureHandler=void 0;const o=n(75764),a=n(7556),l=s(n(89909));class u extends a.DisposableDelegate{constructor(e,t,n,i,r){super(e),this._status=0,this._stdin=c.noOp,this._iopub=c.noOp,this._reply=c.noOp,this._done=new o.PromiseDelegate,this._hooks=new c.HookList,this._disposeOnDone=!0,this._msg=t,n||this._setFlag(c.KernelFutureFlag.GotReply),this._disposeOnDone=i,this._kernel=r}get msg(){return this._msg}get done(){return this._done.promise}get onReply(){return this._reply}set onReply(e){this._reply=e}get onIOPub(){return this._iopub}set onIOPub(e){this._iopub=e}get onStdin(){return this._stdin}set onStdin(e){this._stdin=e}registerMessageHook(e){if(this.isDisposed)throw new Error("Kernel future is disposed");this._hooks.add(e)}removeMessageHook(e){this.isDisposed||this._hooks.remove(e)}sendInputReply(e,t){this._kernel.sendInputReply(e,t)}dispose(){this._stdin=c.noOp,this._iopub=c.noOp,this._reply=c.noOp,this._hooks=null,this._testFlag(c.KernelFutureFlag.IsDone)||(this._done.promise.catch((()=>{})),this._done.reject(new Error(`Canceled future for ${this.msg.header.msg_type} message before replies were done`))),super.dispose()}async handleMsg(e){switch(e.channel){case"control":case"shell":e.channel===this.msg.channel&&e.parent_header.msg_id===this.msg.header.msg_id&&await this._handleReply(e);break;case"stdin":await this._handleStdin(e);break;case"iopub":await this._handleIOPub(e)}}async _handleReply(e){const t=this._reply;t&&await t(e),this._replyMsg=e,this._setFlag(c.KernelFutureFlag.GotReply),this._testFlag(c.KernelFutureFlag.GotIdle)&&this._handleDone()}async _handleStdin(e){this._kernel.hasPendingInput=!0;const t=this._stdin;t&&await t(e)}async _handleIOPub(e){const t=await this._hooks.process(e),n=this._iopub;t&&n&&await n(e),l.isStatusMsg(e)&&"idle"===e.content.execution_state&&(this._setFlag(c.KernelFutureFlag.GotIdle),this._testFlag(c.KernelFutureFlag.GotReply)&&this._handleDone())}_handleDone(){this._testFlag(c.KernelFutureFlag.IsDone)||(this._setFlag(c.KernelFutureFlag.IsDone),this._done.resolve(this._replyMsg),this._disposeOnDone&&this.dispose())}_testFlag(e){return!!(this._status&e)}_setFlag(e){this._status|=e}}var c;t.KernelFutureHandler=u,t.KernelControlFutureHandler=class extends u{},t.KernelShellFutureHandler=class extends u{},function(e){e.noOp=()=>{};const t="function"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;let n;e.HookList=class{constructor(){this._hooks=[]}add(e){this.remove(e),this._hooks.push(e)}remove(e){const t=this._hooks.indexOf(e);t>=0&&(this._hooks[t]=null,this._scheduleCompact())}async process(e){await this._processing;const t=new o.PromiseDelegate;let n;this._processing=t.promise;for(let i=this._hooks.length-1;i>=0;i--){const r=this._hooks[i];if(null!==r){try{n=await r(e)}catch(e){n=!0,console.error(e)}if(!1===n)return t.resolve(void 0),!1}}return t.resolve(void 0),!0}_scheduleCompact(){this._compactScheduled||(this._compactScheduled=!0,t((()=>{this._processing=this._processing.then((()=>{this._compactScheduled=!1,this._compact()}))})))}_compact(){let e=0;for(let t=0,n=this._hooks.length;t{"use strict";Object.defineProperty(t,"__esModule",{value:!0})},65198:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.KernelManager=void 0;const i=n(86049),r=n(38571),s=n(17883),o=n(43867),a=n(98235),l=n(12456);class u extends o.BaseManager{constructor(e={}){var t;super(e),this._isReady=!1,this._kernelConnections=new Set,this._models=new Map,this._runningChanged=new r.Signal(this),this._connectionFailure=new r.Signal(this),this._pollModels=new i.Poll({auto:!1,factory:()=>this.requestRunning(),frequency:{interval:1e4,backoff:!0,max:3e5},name:"@jupyterlab/services:KernelManager#models",standby:null!==(t=e.standby)&&void 0!==t?t:"when-hidden"}),this._ready=(async()=>{await this._pollModels.start(),await this._pollModels.tick,this._isReady=!0})()}get isReady(){return this._isReady}get ready(){return this._ready}get runningChanged(){return this._runningChanged}get connectionFailure(){return this._connectionFailure}dispose(){this.isDisposed||(this._models.clear(),this._kernelConnections.forEach((e=>e.dispose())),this._pollModels.dispose(),super.dispose())}connectTo(e){var t;const{id:n}=e.model;let i=null===(t=e.handleComms)||void 0===t||t;if(void 0===e.handleComms)for(const e of this._kernelConnections)if(e.id===n&&e.handleComms){i=!1;break}const r=new l.KernelConnection({handleComms:i,...e,serverSettings:this.serverSettings});return this._onStarted(r),this._models.has(n)||this.refreshRunning().catch((()=>{})),r}running(){return this._models.values()}async refreshRunning(){await this._pollModels.refresh(),await this._pollModels.tick}async startNew(e={},t={}){const n=await(0,a.startNew)(e,this.serverSettings);return this.connectTo({...t,model:n})}async shutdown(e){await(0,a.shutdownKernel)(e,this.serverSettings),await this.refreshRunning()}async shutdownAll(){await this.refreshRunning(),await Promise.all([...this._models.keys()].map((e=>(0,a.shutdownKernel)(e,this.serverSettings)))),await this.refreshRunning()}async findById(e){return this._models.has(e)||await this.refreshRunning(),this._models.get(e)}async requestRunning(){var e,t;let n;try{n=await(0,a.listRunning)(this.serverSettings)}catch(n){throw(n instanceof s.ServerConnection.NetworkError||503===(null===(e=n.response)||void 0===e?void 0:e.status)||424===(null===(t=n.response)||void 0===t?void 0:t.status))&&this._connectionFailure.emit(n),n}this.isDisposed||this._models.size===n.length&&n.every((e=>{const t=this._models.get(e.id);return!!t&&t.connections===e.connections&&t.execution_state===e.execution_state&&t.last_activity===e.last_activity&&t.name===e.name&&t.reason===e.reason&&t.traceback===e.traceback}))||(this._models=new Map(n.map((e=>[e.id,e]))),this._kernelConnections.forEach((e=>{this._models.has(e.id)||e.handleShutdown()})),this._runningChanged.emit(n))}_onStarted(e){this._kernelConnections.add(e),e.statusChanged.connect(this._onStatusChanged,this),e.disposed.connect(this._onDisposed,this)}_onDisposed(e){this._kernelConnections.delete(e),this.refreshRunning().catch((()=>{}))}_onStatusChanged(e,t){"dead"===t&&this.refreshRunning().catch((()=>{}))}}t.KernelManager=u,function(e){e.NoopManager=class extends e{constructor(){super(...arguments),this._readyPromise=new Promise((()=>{}))}get isActive(){return!1}get parentReady(){return super.ready}async startNew(e={},t={}){return Promise.reject(new Error("Not implemented in no-op Kernel Manager"))}connectTo(e){throw new Error("Not implemented in no-op Kernel Manager")}async shutdown(e){return Promise.reject(new Error("Not implemented in no-op Kernel Manager"))}get ready(){return this.parentReady.then((()=>this._readyPromise))}async requestRunning(){return Promise.resolve()}}}(u||(t.KernelManager=u={}))},89909:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.supportedKernelWebSocketProtocols=t.isInputReplyMsg=t.isInputRequestMsg=t.isDebugReplyMsg=t.isDebugRequestMsg=t.isExecuteReplyMsg=t.isInfoRequestMsg=t.isCommMsgMsg=t.isCommCloseMsg=t.isCommOpenMsg=t.isDebugEventMsg=t.isClearOutputMsg=t.isStatusMsg=t.isErrorMsg=t.isExecuteResultMsg=t.isExecuteInputMsg=t.isUpdateDisplayDataMsg=t.isDisplayDataMsg=t.isStreamMsg=t.createMessage=void 0;const i=n(75764);var r;t.createMessage=function(e){var t,n,r,s,o;return{buffers:null!==(t=e.buffers)&&void 0!==t?t:[],channel:e.channel,content:e.content,header:{date:(new Date).toISOString(),msg_id:null!==(n=e.msgId)&&void 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0!==o?o:{}}},t.isStreamMsg=function(e){return"stream"===e.header.msg_type},t.isDisplayDataMsg=function(e){return"display_data"===e.header.msg_type},t.isUpdateDisplayDataMsg=function(e){return"update_display_data"===e.header.msg_type},t.isExecuteInputMsg=function(e){return"execute_input"===e.header.msg_type},t.isExecuteResultMsg=function(e){return"execute_result"===e.header.msg_type},t.isErrorMsg=function(e){return"error"===e.header.msg_type},t.isStatusMsg=function(e){return"status"===e.header.msg_type},t.isClearOutputMsg=function(e){return"clear_output"===e.header.msg_type},t.isDebugEventMsg=function(e){return"debug_event"===e.header.msg_type},t.isCommOpenMsg=function(e){return"comm_open"===e.header.msg_type},t.isCommCloseMsg=function(e){return"comm_close"===e.header.msg_type},t.isCommMsgMsg=function(e){return"comm_msg"===e.header.msg_type},t.isInfoRequestMsg=function(e){return"kernel_info_request"===e.header.msg_type},t.isExecuteReplyMsg=function(e){return"execute_reply"===e.header.msg_type},t.isDebugRequestMsg=function(e){return"debug_request"===e.header.msg_type},t.isDebugReplyMsg=function(e){return"debug_reply"===e.header.msg_type},t.isInputRequestMsg=function(e){return"input_request"===e.header.msg_type},t.isInputReplyMsg=function(e){return"input_reply"===e.header.msg_type},function(e){e.v1KernelWebsocketJupyterOrg="v1.kernel.websocket.jupyter.org"}(r||(t.supportedKernelWebSocketProtocols=r={}))},98235:(e,t,n)=>{"use 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o=r.URLExt.join(n.baseUrl,t.KERNEL_SERVICE_URL,encodeURIComponent(e),"restart"),a=await i.ServerConnection.makeRequest(o,{method:"POST"},n);if(200!==a.status)throw await i.ServerConnection.ResponseError.create(a);const l=await a.json();(0,s.validateModel)(l)},t.interruptKernel=async function(e,n=i.ServerConnection.makeSettings()){const s=r.URLExt.join(n.baseUrl,t.KERNEL_SERVICE_URL,encodeURIComponent(e),"interrupt"),o=await i.ServerConnection.makeRequest(s,{method:"POST"},n);if(204!==o.status)throw await i.ServerConnection.ResponseError.create(o)},t.shutdownKernel=async function(e,n=i.ServerConnection.makeSettings()){const s=r.URLExt.join(n.baseUrl,t.KERNEL_SERVICE_URL,encodeURIComponent(e)),o=await i.ServerConnection.makeRequest(s,{method:"DELETE"},n);if(404===o.status){const t=`The kernel "${e}" does not exist on the server`;console.warn(t)}else if(204!==o.status)throw await i.ServerConnection.ResponseError.create(o)},t.getKernelModel=async 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this._kernel}get path(){return this._path}get type(){return this._type}get name(){return this._name}get model(){return{id:this.id,kernel:this.kernel&&{id:this.kernel.id,name:this.kernel.name},path:this._path,type:this._type,name:this._name}}get isDisposed(){return this._isDisposed}update(e){const t=this.model;if(this._path=e.path,this._name=e.name,this._type=e.type,null===this._kernel&&null!==e.kernel||null!==this._kernel&&null===e.kernel||null!==this._kernel&&null!==e.kernel&&this._kernel.id!==e.kernel.id){null!==this._kernel&&this._kernel.dispose();const t=this._kernel||null;this.setupKernel(e.kernel);const n=this._kernel||null;this._kernelChanged.emit({name:"kernel",oldValue:t,newValue:n})}this._handleModelChange(t)}dispose(){if(!this.isDisposed){if(this._isDisposed=!0,this._disposed.emit(),this._kernel){this._kernel.dispose();const e=this._kernel;this._kernel=null;const t=this._kernel;this._kernelChanged.emit({name:"kernel",oldValue:e,newValue:t})}i.Signal.clearData(this)}}async setPath(e){if(this.isDisposed)throw new Error("Session is disposed");await this._patch({path:e})}async setName(e){if(this.isDisposed)throw new Error("Session is disposed");await this._patch({name:e})}async setType(e){if(this.isDisposed)throw new Error("Session is disposed");await this._patch({type:e})}async changeKernel(e){if(this.isDisposed)throw new Error("Session is disposed");return await this._patch({kernel:e}),this.kernel}async shutdown(){if(this.isDisposed)throw new Error("Session is disposed");await(0,s.shutdownSession)(this.id,this.serverSettings),this.dispose()}setupKernel(e){if(null===e)return void(this._kernel=null);const t=this._connectToKernel({...this._kernelConnectionOptions,model:e,username:this._username,clientId:this._clientId,serverSettings:this.serverSettings});this._kernel=t,t.statusChanged.connect(this.onKernelStatus,this),t.connectionStatusChanged.connect(this.onKernelConnectionStatus,this),t.pendingInput.connect(this.onPendingInput,this),t.unhandledMessage.connect(this.onUnhandledMessage,this),t.iopubMessage.connect(this.onIOPubMessage,this),t.anyMessage.connect(this.onAnyMessage,this)}onKernelStatus(e,t){this._statusChanged.emit(t)}onKernelConnectionStatus(e,t){this._connectionStatusChanged.emit(t)}onPendingInput(e,t){this._pendingInput.emit(t)}onIOPubMessage(e,t){this._iopubMessage.emit(t)}onUnhandledMessage(e,t){this._unhandledMessage.emit(t)}onAnyMessage(e,t){this._anyMessage.emit(t)}async _patch(e){const t=await(0,s.updateSession)({...e,id:this._id},this.serverSettings);return 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t,n,i,r;const s=this._models.get(e.id);return!!s&&(null===(t=s.kernel)||void 0===t?void 0:t.id)===(null===(n=e.kernel)||void 0===n?void 0:n.id)&&(null===(i=s.kernel)||void 0===i?void 0:i.name)===(null===(r=e.kernel)||void 0===r?void 0:r.name)&&s.name===e.name&&s.path===e.path&&s.type===e.type}))||(this._models=new Map(n.map((e=>[e.id,e]))),this._sessionConnections.forEach((e=>{this._models.has(e.id)?e.update(this._models.get(e.id)):e.dispose()})),this._runningChanged.emit(n))}_onStarted(e){this._sessionConnections.add(e),e.disposed.connect(this._onDisposed,this),e.propertyChanged.connect(this._onChanged,this),e.kernelChanged.connect(this._onChanged,this)}_onDisposed(e){this._sessionConnections.delete(e),this.refreshRunning().catch((()=>{}))}_onChanged(){this.refreshRunning().catch((()=>{}))}}t.SessionManager=u,function(e){e.NoopManager=class extends e{constructor(){super(...arguments),this._readyPromise=new Promise((()=>{}))}get isActive(){return!1}get parentReady(){return 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i.ServerConnection.makeRequest(n,{},t);if(200!==r.status)throw await i.ServerConnection.ResponseError.create(r);const a=await r.json();return(0,s.updateLegacySessionModel)(a),(0,s.validateModel)(a),a},t.startSession=async function(e,n=i.ServerConnection.makeSettings()){const o=r.URLExt.join(n.baseUrl,t.SESSION_SERVICE_URL),a={method:"POST",body:JSON.stringify(e)},l=await i.ServerConnection.makeRequest(o,a,n);if(201!==l.status)throw await i.ServerConnection.ResponseError.create(l);const u=await l.json();return(0,s.updateLegacySessionModel)(u),(0,s.validateModel)(u),u},t.updateSession=async function(e,t=i.ServerConnection.makeSettings()){const n=o(t.baseUrl,e.id),r={method:"PATCH",body:JSON.stringify(e)},a=await i.ServerConnection.makeRequest(n,r,t);if(200!==a.status)throw await i.ServerConnection.ResponseError.create(a);const l=await a.json();return(0,s.updateLegacySessionModel)(l),(0,s.validateModel)(l),l}},37240:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0})},35684:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.validateModels=t.updateLegacySessionModel=t.validateModel=void 0;const i=n(25855),r=n(87441);function s(e){(0,r.validateProperty)(e,"id","string"),(0,r.validateProperty)(e,"type","string"),(0,r.validateProperty)(e,"name","string"),(0,r.validateProperty)(e,"path","string"),(0,r.validateProperty)(e,"kernel","object"),(0,i.validateModel)(e.kernel)}t.validateModel=s,t.updateLegacySessionModel=function(e){void 0===e.path&&void 0!==e.notebook&&(e.path=e.notebook.path,e.type="notebook",e.name="")},t.validateModels=function(e){if(!Array.isArray(e))throw new Error("Invalid session list");e.forEach((e=>s(e)))}},67780:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.SettingManager=void 0;const i=n(88925),r=n(41670),s=n(22920);class o extends r.DataConnector{constructor(e={}){var t;super(),this.serverSettings=null!==(t=e.serverSettings)&&void 0!==t?t:s.ServerConnection.makeSettings()}async fetch(e){if(!e)throw new Error("Plugin `id` parameter is required for settings fetch.");const{serverSettings:t}=this,{baseUrl:n,appUrl:i}=t,{makeRequest:r,ResponseError:o}=s.ServerConnection,l=n+i,u=a.url(l,e),c=await r(u,{},t);if(200!==c.status)throw await o.create(c);return c.json()}async list(e){var t,n,i,r;const{serverSettings:o}=this,{baseUrl:l,appUrl:u}=o,{makeRequest:c,ResponseError:d}=s.ServerConnection,h=l+u,p=a.url(h,"","ids"===e),f=await c(p,{},o);if(200!==f.status)throw new d(f);const m=await f.json(),g=null!==(n=null===(t=null==m?void 0:m.settings)||void 0===t?void 0:t.map((e=>e.id)))&&void 0!==n?n:[];let v=[];return e||(v=null!==(r=null===(i=null==m?void 0:m.settings)||void 0===i?void 0:i.map((e=>(e.data={composite:{},user:{}},e))))&&void 0!==r?r:[]),{ids:g,values:v}}async save(e,t){const{serverSettings:n}=this,{baseUrl:i,appUrl:r}=n,{makeRequest:o,ResponseError:l}=s.ServerConnection,u=i+r,c=a.url(u,e),d={body:JSON.stringify({raw:t}),method:"PUT"},h=await o(c,d,n);if(204!==h.status)throw new l(h)}}var a;t.SettingManager=o,function(e){e.url=function(e,t,n){const r=n?i.URLExt.objectToQueryString({ids_only:!0}):"",s=i.URLExt.join(e,"api/settings"),o=i.URLExt.join(s,t);if(!o.startsWith(s))throw new Error("Can only be used for workspaces requests");return`${o}${r}`}}(a||(a={}))},97251:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.default=WebSocket},27441:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.TerminalConnection=void 0;const i=n(88925),r=n(75764),s=n(38571),o=n(17883),a=n(26134);class l{constructor(e){var t;this._createSocket=()=>{this._errorIfDisposed(),this._clearSocket(),this._updateConnectionStatus("connecting");const e=this._name,t=this.serverSettings;let n=i.URLExt.join(t.wsUrl,"terminals","websocket",encodeURIComponent(e));const r=t.token;t.appendToken&&""!==r&&(n+=`?token=${encodeURIComponent(r)}`),this._ws=new t.WebSocket(n),this._ws.onmessage=this._onWSMessage,this._ws.onclose=this._onWSClose,this._ws.onerror=this._onWSClose},this._onWSMessage=e=>{if(this._isDisposed)return;const t=JSON.parse(e.data);"disconnect"===t[0]&&this.dispose(),"connecting"!==this._connectionStatus?this._messageReceived.emit({type:t[0],content:t.slice(1)}):"setup"===t[0]&&this._updateConnectionStatus("connected")},this._onWSClose=e=>{console.warn(`Terminal websocket closed: ${e.code}`),this.isDisposed||this._reconnect()},this._connectionStatus="connecting",this._connectionStatusChanged=new s.Signal(this),this._isDisposed=!1,this._disposed=new s.Signal(this),this._messageReceived=new s.Signal(this),this._reconnectTimeout=null,this._ws=null,this._noOp=()=>{},this._reconnectLimit=7,this._reconnectAttempt=0,this._pendingMessages=[],this._name=e.model.name,this.serverSettings=null!==(t=e.serverSettings)&&void 0!==t?t:o.ServerConnection.makeSettings(),this._createSocket()}get disposed(){return this._disposed}get messageReceived(){return this._messageReceived}get name(){return this._name}get model(){return{name:this._name}}get isDisposed(){return this._isDisposed}dispose(){this._isDisposed||(this._isDisposed=!0,this._disposed.emit(),this._updateConnectionStatus("disconnected"),this._clearSocket(),s.Signal.clearData(this))}send(e){this._sendMessage(e)}_sendMessage(e,t=!0){if(!this._isDisposed&&e.content)if("connected"===this.connectionStatus&&this._ws){const t=[e.type,...e.content];this._ws.send(JSON.stringify(t))}else{if(!t)throw new Error(`Could not send message: ${JSON.stringify(e)}`);this._pendingMessages.push(e)}}_sendPending(){for(;"connected"===this.connectionStatus&&this._pendingMessages.length>0;)this._sendMessage(this._pendingMessages[0],!1),this._pendingMessages.shift()}reconnect(){this._errorIfDisposed();const e=new r.PromiseDelegate,t=(n,i)=>{"connected"===i?(e.resolve(),this.connectionStatusChanged.disconnect(t,this)):"disconnected"===i&&(e.reject(new Error("Terminal connection disconnected")),this.connectionStatusChanged.disconnect(t,this))};return this.connectionStatusChanged.connect(t,this),this._reconnectAttempt=0,this._reconnect(),e.promise}_reconnect(){if(this._errorIfDisposed(),clearTimeout(this._reconnectTimeout),this._reconnectAttempt{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.TerminalManager=void 0;const i=n(86049),r=n(38571),s=n(17883),o=n(43867),a=n(26134),l=n(27441);class u extends o.BaseManager{constructor(e={}){var t;if(super(e),this._isReady=!1,this._names=[],this._terminalConnections=new Set,this._runningChanged=new r.Signal(this),this._connectionFailure=new r.Signal(this),!this.isAvailable())return this._ready=Promise.reject("Terminals unavailable"),void this._ready.catch((e=>{}));this._pollModels=new i.Poll({auto:!1,factory:()=>this.requestRunning(),frequency:{interval:1e4,backoff:!0,max:3e5},name:"@jupyterlab/services:TerminalManager#models",standby:null!==(t=e.standby)&&void 0!==t?t:"when-hidden"}),this._ready=(async()=>{await this._pollModels.start(),await this._pollModels.tick,this._isReady=!0})()}get isReady(){return this._isReady}get ready(){return this._ready}get runningChanged(){return this._runningChanged}get connectionFailure(){return this._connectionFailure}dispose(){this.isDisposed||(this._names.length=0,this._terminalConnections.forEach((e=>e.dispose())),this._pollModels.dispose(),super.dispose())}isAvailable(){return(0,a.isAvailable)()}connectTo(e){const t=new l.TerminalConnection({...e,serverSettings:this.serverSettings});return this._onStarted(t),this._names.includes(e.model.name)||this.refreshRunning().catch((()=>{})),t}running(){return this._models[Symbol.iterator]()}async refreshRunning(){await this._pollModels.refresh(),await this._pollModels.tick}async startNew(e){const t=await(0,a.startNew)(this.serverSettings,null==e?void 0:e.name,null==e?void 0:e.cwd);return await this.refreshRunning(),this.connectTo({model:t})}async shutdown(e){await(0,a.shutdownTerminal)(e,this.serverSettings),await this.refreshRunning()}async shutdownAll(){await this.refreshRunning(),await Promise.all(this._names.map((e=>(0,a.shutdownTerminal)(e,this.serverSettings)))),await this.refreshRunning()}async requestRunning(){var e,t;let n;try{n=await(0,a.listRunning)(this.serverSettings)}catch(n){throw(n instanceof s.ServerConnection.NetworkError||503===(null===(e=n.response)||void 0===e?void 0:e.status)||424===(null===(t=n.response)||void 0===t?void 0:t.status))&&this._connectionFailure.emit(n),n}if(this.isDisposed)return;const i=n.map((({name:e})=>e)).sort();i!==this._names&&(this._names=i,this._terminalConnections.forEach((e=>{i.includes(e.name)||e.dispose()})),this._runningChanged.emit(this._models))}_onStarted(e){this._terminalConnections.add(e),e.disposed.connect(this._onDisposed,this)}_onDisposed(e){this._terminalConnections.delete(e),this.refreshRunning().catch((()=>{}))}get _models(){return this._names.map((e=>({name:e})))}}t.TerminalManager=u,function(e){e.NoopManager=class extends e{constructor(){super(...arguments),this._readyPromise=new Promise((()=>{}))}get isActive(){return!1}get parentReady(){return super.ready}get ready(){return this.parentReady.then((()=>this._readyPromise))}async startNew(e){return Promise.reject(new Error("Not implemented in no-op Terminal Manager"))}connectTo(e){throw Error("Not implemented in no-op Terminal Manager")}async shutdown(e){return Promise.reject(new Error("Not implemented in no-op Terminal Manager"))}async requestRunning(){return Promise.resolve()}}}(u||(t.TerminalManager=u={}))},26134:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.shutdownTerminal=t.listRunning=t.startNew=t.isAvailable=t.TERMINAL_SERVICE_URL=void 0;const i=n(88925),r=n(22920);function s(){return"true"===String(i.PageConfig.getOption("terminalsAvailable")).toLowerCase()}var o;t.TERMINAL_SERVICE_URL="api/terminals",t.isAvailable=s,t.startNew=async function(e=r.ServerConnection.makeSettings(),n,s){o.errorIfNotAvailable();const a=i.URLExt.join(e.baseUrl,t.TERMINAL_SERVICE_URL),l={method:"POST",body:JSON.stringify({name:n,cwd:s})},u=await r.ServerConnection.makeRequest(a,l,e);if(200!==u.status)throw await r.ServerConnection.ResponseError.create(u);return await u.json()},t.listRunning=async function(e=r.ServerConnection.makeSettings()){o.errorIfNotAvailable();const n=i.URLExt.join(e.baseUrl,t.TERMINAL_SERVICE_URL),s=await r.ServerConnection.makeRequest(n,{},e);if(200!==s.status)throw await r.ServerConnection.ResponseError.create(s);const a=await s.json();if(!Array.isArray(a))throw new Error("Invalid terminal list");return a},t.shutdownTerminal=async function(e,n=r.ServerConnection.makeSettings()){var s;o.errorIfNotAvailable();const a=i.URLExt.join(n.baseUrl,t.TERMINAL_SERVICE_URL),l=i.URLExt.join(a,e);if(!l.startsWith(a))throw new Error("Can only be used for terminal requests");const u=await r.ServerConnection.makeRequest(l,{method:"DELETE"},n);if(404===u.status){const t=null!==(s=(await u.json()).message)&&void 0!==s?s:`The terminal session "${e}"" does not exist on the server`;console.warn(t)}else if(204!==u.status)throw await r.ServerConnection.ResponseError.create(u)},function(e){e.errorIfNotAvailable=function(){if(!s())throw new Error("Terminals Unavailable")}}(o||(o={}))},26994:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.isAvailable=void 0;const i=n(26134);Object.defineProperty(t,"isAvailable",{enumerable:!0,get:function(){return i.isAvailable}})},49191:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.UserManager=void 0;const i=n(88925),r=n(75764),s=n(86049),o=n(38571),a=n(22920),l=n(43867),u="@jupyterlab/services:UserManager#user";class c extends l.BaseManager{constructor(e={}){var t;super(e),this._isReady=!1,this._userChanged=new o.Signal(this),this._connectionFailure=new o.Signal(this),this._ready=this.requestUser().then((()=>{this.isDisposed||(this._isReady=!0)})).catch((e=>new Promise((()=>{})))),this._pollSpecs=new s.Poll({auto:!1,factory:()=>this.requestUser(),frequency:{interval:61e3,backoff:!0,max:3e5},name:u,standby:null!==(t=e.standby)&&void 0!==t?t:"when-hidden"}),this.ready.then((()=>{this._pollSpecs.start()}))}get isReady(){return this._isReady}get ready(){return this._ready}get identity(){return this._identity}get permissions(){return this._permissions}get userChanged(){return this._userChanged}get connectionFailure(){return this._connectionFailure}dispose(){this._pollSpecs.dispose(),super.dispose()}async refreshUser(){await this._pollSpecs.refresh(),await this._pollSpecs.tick}async requestUser(){if(this.isDisposed)return;const{baseUrl:e}=this.serverSettings,{makeRequest:t,ResponseError:n}=a.ServerConnection,s=i.URLExt.join(e,"api/me"),o=await t(s,{},this.serverSettings);if(200!==o.status)throw await n.create(o);const l={identity:this._identity,permissions:this._permissions},c=await o.json(),h=c.identity,{localStorage:p}=window,f=p.getItem(u);if(f&&(!h.initials||!h.color)){const e=JSON.parse(f);h.initials=h.initials||e.initials||h.name.substring(0,1),h.color=h.color||e.color||d.getRandomColor()}r.JSONExt.deepEqual(c,l)||(this._identity=h,this._permissions=c.permissions,p.setItem(u,JSON.stringify(h)),this._userChanged.emit(c))}}var d;t.UserManager=c,function(e){const t=["var(--jp-collaborator-color1)","var(--jp-collaborator-color2)","var(--jp-collaborator-color3)","var(--jp-collaborator-color4)","var(--jp-collaborator-color5)","var(--jp-collaborator-color6)","var(--jp-collaborator-color7)"];e.getRandomColor=()=>t[Math.floor(Math.random()*t.length)]}(d||(d={}))},87441:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.validateProperty=void 0,t.validateProperty=function(e,t,n,i=[]){if(!e.hasOwnProperty(t))throw Error(`Missing property '${t}'`);const r=e[t];if(void 0!==n){let e=!0;switch(n){case"array":e=Array.isArray(r);break;case"object":e=void 0!==r;break;default:e=typeof r===n}if(!e)throw new Error(`Property '${t}' is not of type '${n}'`);if(i.length>0){let e=!0;switch(n){case"string":case"number":case"boolean":e=i.includes(r);break;default:e=i.findIndex((e=>e===r))>=0}if(!e)throw new Error(`Property '${t}' is not one of the valid values ${JSON.stringify(i)}`)}}}},38053:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.WorkspaceManager=void 0;const i=n(88925),r=n(41670),s=n(22920);class o extends r.DataConnector{constructor(e={}){var t;super(),this.serverSettings=null!==(t=e.serverSettings)&&void 0!==t?t:s.ServerConnection.makeSettings()}async fetch(e){const{serverSettings:t}=this,{baseUrl:n,appUrl:i}=t,{makeRequest:r,ResponseError:o}=s.ServerConnection,l=n+i,u=a.url(l,e),c=await r(u,{},t);if(200!==c.status)throw await o.create(c);return c.json()}async list(){const{serverSettings:e}=this,{baseUrl:t,appUrl:n}=e,{makeRequest:i,ResponseError:r}=s.ServerConnection,o=t+n,l=a.url(o,""),u=await i(l,{},e);if(200!==u.status)throw await r.create(u);return(await u.json()).workspaces}async remove(e){const{serverSettings:t}=this,{baseUrl:n,appUrl:i}=t,{makeRequest:r,ResponseError:o}=s.ServerConnection,l=n+i,u=a.url(l,e),c=await r(u,{method:"DELETE"},t);if(204!==c.status)throw await o.create(c)}async save(e,t){const{serverSettings:n}=this,{baseUrl:i,appUrl:r}=n,{makeRequest:o,ResponseError:l}=s.ServerConnection,u=i+r,c=a.url(u,e),d={body:JSON.stringify(t),method:"PUT"},h=await o(c,d,n);if(204!==h.status)throw await l.create(h)}}var a;t.WorkspaceManager=o,function(e){e.url=function(e,t){const n=i.URLExt.join(e,"api/workspaces"),r=i.URLExt.join(n,t);if(!r.startsWith(n))throw new Error("Can only be used for workspaces requests");return r}}(a||(a={}))},64949:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.DataConnector=void 0,t.DataConnector=class{async list(e){throw new Error("DataConnector#list method has not been implemented.")}async remove(e){throw new Error("DataConnector#remove method has not been implemented.")}async save(e,t){throw new Error("DataConnector#save method has not been implemented.")}}},41670:function(e,t,n){"use strict";var i=this&&this.__createBinding||(Object.create?function(e,t,n,i){void 0===i&&(i=n);var r=Object.getOwnPropertyDescriptor(t,n);r&&!("get"in r?!t.__esModule:r.writable||r.configurable)||(r={enumerable:!0,get:function(){return t[n]}}),Object.defineProperty(e,i,r)}:function(e,t,n,i){void 0===i&&(i=n),e[i]=t[n]}),r=this&&this.__exportStar||function(e,t){for(var n in e)"default"===n||Object.prototype.hasOwnProperty.call(t,n)||i(t,e,n)};Object.defineProperty(t,"__esModule",{value:!0}),r(n(64949),t),r(n(19708),t),r(n(74025),t),r(n(92133),t),r(n(38022),t)},19708:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0})},74025:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.RestorablePool=void 0;const i=n(75764),r=n(26573),s=n(38571);var o;t.RestorablePool=class{constructor(e){this._added=new s.Signal(this),this._current=null,this._currentChanged=new s.Signal(this),this._hasRestored=!1,this._isDisposed=!1,this._objects=new Set,this._restore=null,this._restored=new i.PromiseDelegate,this._updated=new s.Signal(this),this.namespace=e.namespace}get added(){return this._added}get current(){return this._current}set current(e){this._current!==e&&null!==e&&this._objects.has(e)&&(this._current=e,this._currentChanged.emit(this._current))}get currentChanged(){return this._currentChanged}get isDisposed(){return this._isDisposed}get restored(){return this._restored.promise}get size(){return this._objects.size}get updated(){return this._updated}async add(e){var t,n;if(e.isDisposed){const t="A disposed object cannot be added.";throw console.warn(t,e),new Error(t)}if(this._objects.has(e)){const t="This object already exists in the pool.";throw console.warn(t,e),new Error(t)}if(this._objects.add(e),e.disposed.connect(this._onInstanceDisposed,this),!o.injectedProperty.get(e)){if(this._restore){const{connector:i}=this._restore,r=this._restore.name(e);if(r){const s=`${this.namespace}:${r}`,a=null===(n=(t=this._restore).args)||void 0===n?void 0:n.call(t,e);o.nameProperty.set(e,s),await i.save(s,{data:a})}}this._added.emit(e)}}dispose(){this.isDisposed||(this._current=null,this._isDisposed=!0,this._objects.clear(),s.Signal.clearData(this))}find(e){const t=this._objects.values();for(const n of t)if(e(n))return n}forEach(e){this._objects.forEach(e)}filter(e){const t=[];return this.forEach((n=>{e(n)&&t.push(n)})),t}inject(e){return o.injectedProperty.set(e,!0),this.add(e)}has(e){return this._objects.has(e)}async restore(e){if(this._hasRestored)throw new Error("This pool has already been restored.");this._hasRestored=!0;const{command:t,connector:n,registry:i,when:r}=e,s=this.namespace,o=r?[n.list(s)].concat(r):[n.list(s)];this._restore=e;const[a]=await Promise.all(o),l=await Promise.all(a.ids.map((async(e,r)=>{const s=a.values[r],o=s&&s.data;return void 0===o?n.remove(e):i.execute(t,o).catch((()=>n.remove(e)))})));return this._restored.resolve(),l}async save(e){var t,n;const i=o.injectedProperty.get(e);if(!this._restore||!this.has(e)||i)return;const{connector:r}=this._restore,s=this._restore.name(e),a=o.nameProperty.get(e),l=s?`${this.namespace}:${s}`:"";if(a&&a!==l&&await r.remove(a),o.nameProperty.set(e,l),l){const i=null===(n=(t=this._restore).args)||void 0===n?void 0:n.call(t,e);await r.save(l,{data:i})}a!==l&&this._updated.emit(e)}_onInstanceDisposed(e){if(this._objects.delete(e),e===this._current&&(this._current=null,this._currentChanged.emit(this._current)),o.injectedProperty.get(e))return;if(!this._restore)return;const{connector:t}=this._restore,n=o.nameProperty.get(e);n&&t.remove(n)}},function(e){e.injectedProperty=new r.AttachedProperty({name:"injected",create:()=>!1}),e.nameProperty=new r.AttachedProperty({name:"name",create:()=>""})}(o||(o={}))},92133:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.StateDB=void 0;const i=n(38571);class r{constructor(e={}){this._changed=new i.Signal(this);const{connector:t,transform:n}=e;this._connector=t||new r.Connector,this._ready=n?n.then((e=>{const{contents:t,type:n}=e;switch(n){case"cancel":default:return;case"clear":return this._clear();case"merge":return this._merge(t||{});case"overwrite":return this._overwrite(t||{})}})):Promise.resolve(void 0)}get changed(){return this._changed}async clear(){await this._ready,await this._clear()}async fetch(e){return await this._ready,this._fetch(e)}async list(e){return await this._ready,this._list(e)}async remove(e){await this._ready,await this._remove(e),this._changed.emit({id:e,type:"remove"})}async save(e,t){await this._ready,await this._save(e,t),this._changed.emit({id:e,type:"save"})}async toJSON(){await this._ready;const{ids:e,values:t}=await this._list();return t.reduce(((t,n,i)=>(t[e[i]]=n,t)),{})}async _clear(){await Promise.all((await this._list()).ids.map((e=>this._remove(e))))}async _fetch(e){const t=await this._connector.fetch(e);if(t)return JSON.parse(t).v}async _list(e=""){const{ids:t,values:n}=await this._connector.list(e);return{ids:t,values:n.map((e=>JSON.parse(e).v))}}async _merge(e){await Promise.all(Object.keys(e).map((t=>e[t]&&this._save(t,e[t]))))}async _overwrite(e){await this._clear(),await this._merge(e)}async _remove(e){return this._connector.remove(e)}async _save(e,t){return this._connector.save(e,JSON.stringify({v:t}))}}t.StateDB=r,function(e){e.Connector=class{constructor(){this._storage={}}async fetch(e){return this._storage[e]}async list(e=""){return Object.keys(this._storage).reduce(((t,n)=>(""!==e&&e!==n.split(":")[0]||(t.ids.push(n),t.values.push(this._storage[n])),t)),{ids:[],values:[]})}async remove(e){delete this._storage[e]}async save(e,t){this._storage[e]=t}}}(r||(t.StateDB=r={}))},38022:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.IStateDB=void 0;const i=n(75764);t.IStateDB=new i.Token("@jupyterlab/coreutils:IStateDB",'A service for the JupyterLab state database.\n Use this if you want to 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Q.HiddenMode.Display:this.addClass("lm-mod-hidden");break;case Q.HiddenMode.Scale:this.node.style.transform="scale(0)",this.node.setAttribute("aria-hidden","true");break;case Q.HiddenMode.ContentVisibility:this.node.style.contentVisibility="hidden",this.node.style.zIndex="-1"}else switch(this._hiddenMode){case Q.HiddenMode.Display:this.removeClass("lm-mod-hidden");break;case Q.HiddenMode.Scale:this.node.style.transform="",this.node.removeAttribute("aria-hidden");break;case Q.HiddenMode.ContentVisibility:this.node.style.contentVisibility="",this.node.style.zIndex=""}}}!function(e){var t,n,i;(t=e.HiddenMode||(e.HiddenMode={}))[t.Display=0]="Display",t[t.Scale=1]="Scale",t[t.ContentVisibility=2]="ContentVisibility",(n=e.Flag||(e.Flag={}))[n.IsDisposed=1]="IsDisposed",n[n.IsAttached=2]="IsAttached",n[n.IsHidden=4]="IsHidden",n[n.IsVisible=8]="IsVisible",n[n.DisallowLayout=16]="DisallowLayout",(i=e.Msg||(e.Msg={})).BeforeShow=new v("before-show"),i.AfterShow=new 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Error("Invalid parent widget.");this._parent=e,this.init()}}get fitPolicy(){return this._fitPolicy}set fitPolicy(e){if(this._fitPolicy!==e&&(this._fitPolicy=e,this._parent)){let e=this._parent.node.style;e.minWidth="",e.minHeight="",e.maxWidth="",e.maxHeight="",this._parent.fit()}}processParentMessage(e){switch(e.type){case"resize":this.onResize(e);break;case"update-request":this.onUpdateRequest(e);break;case"fit-request":this.onFitRequest(e);break;case"before-show":this.onBeforeShow(e);break;case"after-show":this.onAfterShow(e);break;case"before-hide":this.onBeforeHide(e);break;case"after-hide":this.onAfterHide(e);break;case"before-attach":this.onBeforeAttach(e);break;case"after-attach":this.onAfterAttach(e);break;case"before-detach":this.onBeforeDetach(e);break;case"after-detach":this.onAfterDetach(e);break;case"child-removed":this.onChildRemoved(e);break;case"child-shown":this.onChildShown(e);break;case"child-hidden":this.onChildHidden(e)}}init(){for(const e of this)e.parent=this.parent}onResize(e){for(const e of this)f.sendMessage(e,Q.ResizeMessage.UnknownSize)}onUpdateRequest(e){for(const e of this)f.sendMessage(e,Q.ResizeMessage.UnknownSize)}onBeforeAttach(e){for(const t of this)f.sendMessage(t,e)}onAfterAttach(e){for(const t of this)f.sendMessage(t,e)}onBeforeDetach(e){for(const t of this)f.sendMessage(t,e)}onAfterDetach(e){for(const t of this)f.sendMessage(t,e)}onBeforeShow(e){for(const t of this)t.isHidden||f.sendMessage(t,e)}onAfterShow(e){for(const t of this)t.isHidden||f.sendMessage(t,e)}onBeforeHide(e){for(const t of this)t.isHidden||f.sendMessage(t,e)}onAfterHide(e){for(const t of this)t.isHidden||f.sendMessage(t,e)}onChildRemoved(e){this.removeWidget(e.child)}onFitRequest(e){}onChildShown(e){}onChildHidden(e){}}!function(e){e.getHorizontalAlignment=function(e){return V.horizontalAlignmentProperty.get(e)},e.setHorizontalAlignment=function(e,t){V.horizontalAlignmentProperty.set(e,t)},e.getVerticalAlignment=function(e){return V.verticalAlignmentProperty.get(e)},e.setVerticalAlignment=function(e,t){V.verticalAlignmentProperty.set(e,t)}}(Z||(Z={}));class ee{constructor(e){this._top=NaN,this._left=NaN,this._width=NaN,this._height=NaN,this._minWidth=0,this._minHeight=0,this._maxWidth=1/0,this._maxHeight=1/0,this._disposed=!1,this.widget=e,this.widget.node.style.position="absolute",this.widget.node.style.contain="strict"}dispose(){if(this._disposed)return;this._disposed=!0;let e=this.widget.node.style;e.position="",e.top="",e.left="",e.width="",e.height="",e.contain=""}get minWidth(){return this._minWidth}get minHeight(){return this._minHeight}get maxWidth(){return this._maxWidth}get maxHeight(){return this._maxHeight}get isDisposed(){return this._disposed}get isHidden(){return this.widget.isHidden}get isVisible(){return this.widget.isVisible}get isAttached(){return this.widget.isAttached}fit(){let e=u.sizeLimits(this.widget.node);this._minWidth=e.minWidth,this._minHeight=e.minHeight,this._maxWidth=e.maxWidth,this._maxHeight=e.maxHeight}update(e,t,n,i){let r=Math.max(this._minWidth,Math.min(n,this._maxWidth)),s=Math.max(this._minHeight,Math.min(i,this._maxHeight));if(r"center",changed:t}),e.verticalAlignmentProperty=new T.AttachedProperty({name:"verticalAlignment",create:()=>"top",changed:t})}(V||(V={}));class te extends Z{constructor(){super(...arguments),this._widgets=[]}dispose(){for(;this._widgets.length>0;)this._widgets.pop().dispose();super.dispose()}get widgets(){return this._widgets}*[Symbol.iterator](){yield*this._widgets}addWidget(e){this.insertWidget(this._widgets.length,e)}insertWidget(e,t){t.parent=this.parent;let n=this._widgets.indexOf(t),r=Math.max(0,Math.min(e,this._widgets.length));if(-1===n)return i.insert(this._widgets,r,t),void(this.parent&&this.attachWidget(r,t));r===this._widgets.length&&r--,n!==r&&(i.move(this._widgets,n,r),this.parent&&this.moveWidget(n,r,t))}removeWidget(e){this.removeWidgetAt(this._widgets.indexOf(e))}removeWidgetAt(e){let t=i.removeAt(this._widgets,e);t&&this.parent&&this.detachWidget(e,t)}init(){super.init();let e=0;for(const t of this)this.attachWidget(e++,t)}attachWidget(e,t){let n=this.parent.node.children[e];this.parent.isAttached&&f.sendMessage(t,Q.Msg.BeforeAttach),this.parent.node.insertBefore(t.node,n),this.parent.isAttached&&f.sendMessage(t,Q.Msg.AfterAttach)}moveWidget(e,t,n){this.parent.isAttached&&f.sendMessage(n,Q.Msg.BeforeDetach),this.parent.node.removeChild(n.node),this.parent.isAttached&&f.sendMessage(n,Q.Msg.AfterDetach);let i=this.parent.node.children[t];this.parent.isAttached&&f.sendMessage(n,Q.Msg.BeforeAttach),this.parent.node.insertBefore(n.node,i),this.parent.isAttached&&f.sendMessage(n,Q.Msg.AfterAttach)}detachWidget(e,t){this.parent.isAttached&&f.sendMessage(t,Q.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&f.sendMessage(t,Q.Msg.AfterDetach)}}!function(e){e.clampDimension=function(e){return Math.max(0,Math.floor(e))}}(H||(H={}));var ne,ie,re,se,oe,ae,le,ue,ce,de,he=H;class pe extends te{constructor(e){super(),this.widgetOffset=0,this._fixed=0,this._spacing=4,this._dirty=!1,this._hasNormedSizes=!1,this._sizers=[],this._items=[],this._handles=[],this._box=null,this._alignment="start",this._orientation="horizontal",this.renderer=e.renderer,void 0!==e.orientation&&(this._orientation=e.orientation),void 0!==e.alignment&&(this._alignment=e.alignment),void 0!==e.spacing&&(this._spacing=H.clampDimension(e.spacing))}dispose(){for(const e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,this._handles.length=0,super.dispose()}get orientation(){return this._orientation}set orientation(e){this._orientation!==e&&(this._orientation=e,this.parent&&(this.parent.dataset.orientation=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=H.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get handles(){return this._handles}absoluteSizes(){return this._sizers.map((e=>e.size))}relativeSizes(){return ne.normalize(this._sizers.map((e=>e.size)))}setRelativeSizes(e,t=!0){let n=this._sizers.length,i=e.slice(0,n);for(;i.length0&&(e.sizeHint=e.size);U.adjust(this._sizers,e,n),this.parent&&this.parent.update()}}init(){this.parent.dataset.orientation=this.orientation,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){let n=new ee(t),r=ne.createHandle(this.renderer),s=ne.averageSize(this._sizers),o=ne.createSizer(s);i.insert(this._items,e,n),i.insert(this._sizers,e,o),i.insert(this._handles,e,r),this.parent.isAttached&&f.sendMessage(t,Q.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.node.appendChild(r),this.parent.isAttached&&f.sendMessage(t,Q.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,n){i.move(this._items,e,t),i.move(this._sizers,e,t),i.move(this._handles,e,t),this.parent.fit()}detachWidget(e,t){let n=i.removeAt(this._items,e),r=i.removeAt(this._handles,e);i.removeAt(this._sizers,e),this.parent.isAttached&&f.sendMessage(t,Q.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.node.removeChild(r),this.parent.isAttached&&f.sendMessage(t,Q.Msg.AfterDetach),n.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}updateItemPosition(e,t,n,i,r,s,o){const a=this._items[e];if(a.isHidden)return;let l=this._handles[e].style;t?(n+=this.widgetOffset,a.update(n,i,o,r),n+=o,l.top=`${i}px`,l.left=`${n}px`,l.width=`${this._spacing}px`,l.height=`${r}px`):(i+=this.widgetOffset,a.update(n,i,s,o),i+=o,l.top=`${i}px`,l.left=`${n}px`,l.width=`${s}px`,l.height=`${this._spacing}px`)}_fit(){let e=0,t=-1;for(let n=0,i=this._items.length;n0&&(s.sizeHint=s.size),t.isHidden?(s.minSize=0,s.maxSize=0):(t.fit(),s.stretch=pe.getStretch(t.widget),n?(s.minSize=t.minWidth,s.maxSize=t.maxWidth,i+=t.minWidth,r=Math.max(r,t.minHeight)):(s.minSize=t.minHeight,s.maxSize=t.maxHeight,r+=t.minHeight,i=Math.max(i,t.minWidth)))}let s=this._box=u.boxSizing(this.parent.node);i+=s.horizontalSum,r+=s.verticalSum;let o=this.parent.node.style;o.minWidth=`${i}px`,o.minHeight=`${r}px`,this._dirty=!0,this.parent.parent&&f.sendMessage(this.parent.parent,Q.Msg.FitRequest),this._dirty&&f.sendMessage(this.parent,Q.Msg.UpdateRequest)}_update(e,t){this._dirty=!1;let n=0;for(let e=0,t=this._items.length;e0){let e;if(e=c?Math.max(0,s-this._fixed):Math.max(0,o-this._fixed),this._hasNormedSizes){for(let t of this._sizers)t.sizeHint*=e;this._hasNormedSizes=!1}let t=U.calc(this._sizers,e);if(t>0)switch(this._alignment){case"start":break;case"center":a=0,l=t/2;break;case"end":a=0,l=t;break;case"justify":a=t/n,l=0;break;default:throw"unreachable"}}for(let e=0,t=this._items.length;e0,coerce:(e,t)=>Math.max(0,Math.floor(t)),changed:function(e){e.parent&&e.parent.layout instanceof pe&&e.parent.fit()}}),e.createSizer=function(e){let t=new X;return t.sizeHint=Math.floor(e),t},e.createHandle=function(e){let t=e.createHandle();return t.style.position="absolute",t.style.contain="style",t},e.averageSize=function(e){return e.reduce(((e,t)=>e+t.size),0)/e.length||0},e.normalize=function(e){let t=e.length;if(0===t)return[];let n=e.reduce(((e,t)=>e+Math.abs(t)),0);return 0===n?e.map((e=>1/t)):e.map((e=>e/n))}}(ne||(ne={}));class fe extends pe{constructor(e){super({...e,orientation:e.orientation||"vertical"}),this._titles=[],this.titleSpace=e.titleSpace||22}get titleSpace(){return this.widgetOffset}set titleSpace(e){e=he.clampDimension(e),this.widgetOffset!==e&&(this.widgetOffset=e,this.parent&&this.parent.fit())}get titles(){return this._titles}dispose(){this.isDisposed||(this._titles.length=0,super.dispose())}updateTitle(e,t){const n=this._titles[e],i=n.classList.contains("lm-mod-expanded"),r=ie.createTitle(this.renderer,t.title,i);this._titles[e]=r,this.parent.node.replaceChild(r,n)}insertWidget(e,t){t.id||(t.id=`id-${m.UUID.uuid4()}`),super.insertWidget(e,t)}attachWidget(e,t){const n=ie.createTitle(this.renderer,t.title);i.insert(this._titles,e,n),this.parent.node.appendChild(n),t.node.setAttribute("role","region"),t.node.setAttribute("aria-labelledby",n.id),super.attachWidget(e,t)}moveWidget(e,t,n){i.move(this._titles,e,t),super.moveWidget(e,t,n)}detachWidget(e,t){const n=i.removeAt(this._titles,e);this.parent.node.removeChild(n),super.detachWidget(e,t)}updateItemPosition(e,t,n,i,r,s,o){const a=this._titles[e].style;a.top=`${i}px`,a.left=`${n}px`,a.height=`${this.widgetOffset}px`,a.width=t?`${r}px`:`${s}px`,super.updateItemPosition(e,t,n,i,r,s,o)}}!function(e){e.createTitle=function(e,t,n=!0){const i=e.createSectionTitle(t);return i.style.position="absolute",i.style.contain="strict",i.setAttribute("aria-label",`${t.label} Section`),i.setAttribute("aria-expanded",n?"true":"false"),i.setAttribute("aria-controls",t.owner.id),n&&i.classList.add("lm-mod-expanded"),i}}(ie||(ie={}));class me extends Q{constructor(e={}){super(),this.addClass("lm-Panel"),this.layout=re.createLayout(e)}get widgets(){return this.layout.widgets}addWidget(e){this.layout.addWidget(e)}insertWidget(e,t){this.layout.insertWidget(e,t)}}!function(e){e.createLayout=function(e){return e.layout||new te}}(re||(re={}));class ge extends me{constructor(e={}){super({layout:se.createLayout(e)}),this._handleMoved=new O.Signal(this),this._pressData=null,this.addClass("lm-SplitPanel")}dispose(){this._releaseMouse(),super.dispose()}get orientation(){return this.layout.orientation}set orientation(e){this.layout.orientation=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get renderer(){return this.layout.renderer}get handleMoved(){return this._handleMoved}get handles(){return this.layout.handles}relativeSizes(){return this.layout.relativeSizes()}setRelativeSizes(e,t=!0){this.layout.setRelativeSizes(e,t)}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation()}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){e.child.addClass("lm-SplitPanel-child"),this._releaseMouse()}onChildRemoved(e){e.child.removeClass("lm-SplitPanel-child"),this._releaseMouse()}_evtKeyDown(e){this._pressData&&(e.preventDefault(),e.stopPropagation()),27===e.keyCode&&this._releaseMouse()}_evtPointerDown(e){if(0!==e.button)return;let t,n=this.layout,r=i.findFirstIndex(n.handles,(t=>t.contains(e.target)));if(-1===r)return;e.preventDefault(),e.stopPropagation(),document.addEventListener("pointerup",this,!0),document.addEventListener("pointermove",this,!0),document.addEventListener("keydown",this,!0),document.addEventListener("contextmenu",this,!0);let s=n.handles[r],o=s.getBoundingClientRect();t="horizontal"===n.orientation?e.clientX-o.left:e.clientY-o.top;let a=window.getComputedStyle(s),l=A.overrideCursor(a.cursor);this._pressData={index:r,delta:t,override:l}}_evtPointerMove(e){let t;e.preventDefault(),e.stopPropagation();let n=this.layout,i=this.node.getBoundingClientRect();t="horizontal"===n.orientation?e.clientX-i.left-this._pressData.delta:e.clientY-i.top-this._pressData.delta,n.moveHandle(this._pressData.index,t)}_evtPointerUp(e){0===e.button&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse())}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._handleMoved.emit(),document.removeEventListener("keydown",this,!0),document.removeEventListener("pointerup",this,!0),document.removeEventListener("pointermove",this,!0),document.removeEventListener("contextmenu",this,!0))}}!function(e){class t{createHandle(){let e=document.createElement("div");return e.className="lm-SplitPanel-handle",e}}e.Renderer=t,e.defaultRenderer=new t,e.getStretch=function(e){return pe.getStretch(e)},e.setStretch=function(e,t){pe.setStretch(e,t)}}(ge||(ge={})),function(e){e.createLayout=function(e){return e.layout||new pe({renderer:e.renderer||ge.defaultRenderer,orientation:e.orientation,alignment:e.alignment,spacing:e.spacing})}}(se||(se={}));class ve extends ge{constructor(e={}){super({...e,layout:oe.createLayout(e)}),this._widgetSizesCache=new WeakMap,this._expansionToggled=new O.Signal(this),this.addClass("lm-AccordionPanel")}get renderer(){return this.layout.renderer}get titleSpace(){return this.layout.titleSpace}set titleSpace(e){this.layout.titleSpace=e}get titles(){return this.layout.titles}get expansionToggled(){return this._expansionToggled}addWidget(e){super.addWidget(e),e.title.changed.connect(this._onTitleChanged,this)}collapse(e){const t=this.layout.widgets[e];t&&!t.isHidden&&this._toggleExpansion(e)}expand(e){const t=this.layout.widgets[e];t&&t.isHidden&&this._toggleExpansion(e)}insertWidget(e,t){super.insertWidget(e,t),t.title.changed.connect(this._onTitleChanged,this)}handleEvent(e){switch(super.handleEvent(e),e.type){case"click":this._evtClick(e);break;case"keydown":this._eventKeyDown(e)}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),super.onBeforeAttach(e)}onAfterDetach(e){super.onAfterDetach(e),this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this)}_onTitleChanged(e){const t=i.findFirstIndex(this.widgets,(t=>t.contains(e.owner)));t>=0&&(this.layout.updateTitle(t,e.owner),this.update())}_computeWidgetSize(e){const t=this.layout,n=t.widgets[e];if(!n)return;const i=n.isHidden,r=t.absoluteSizes(),s=(i?-1:1)*this.spacing,o=r.reduce(((e,t)=>e+t));let a=[...r];if(i){const t=this._widgetSizesCache.get(n);if(!t)return;a[e]+=t;const i=a.map((e=>e-t>0)).lastIndexOf(!0);-1===i?a.forEach(((n,i)=>{i!==e&&(a[i]-=r[i]/o*(t-s))})):a[i]-=t-s}else{const t=r[e];this._widgetSizesCache.set(n,t),a[e]=0;const i=a.map((e=>e>0)).lastIndexOf(!0);if(-1===i)return;a[i]=r[i]+t+s}return a.map((e=>e/(o+s)))}_evtClick(e){const t=e.target;if(t){const n=i.findFirstIndex(this.titles,(e=>e.contains(t)));n>=0&&(e.preventDefault(),e.stopPropagation(),this._toggleExpansion(n))}}_eventKeyDown(e){if(e.defaultPrevented)return;const t=e.target;let n=!1;if(t){const r=i.findFirstIndex(this.titles,(e=>e.contains(t)));if(r>=0){const i=e.keyCode.toString();if(e.key.match(/Space|Enter/)||i.match(/13|32/))t.click(),n=!0;else if("horizontal"===this.orientation?e.key.match(/ArrowLeft|ArrowRight/)||i.match(/37|39/):e.key.match(/ArrowUp|ArrowDown/)||i.match(/38|40/)){const t=e.key.match(/ArrowLeft|ArrowUp/)||i.match(/37|38/)?-1:1,s=this.titles.length,o=(r+s+t)%s;this.titles[o].focus(),n=!0}else"End"===e.key||"35"===i?(this.titles[this.titles.length-1].focus(),n=!0):"Home"!==e.key&&"36"!==i||(this.titles[0].focus(),n=!0)}n&&e.preventDefault()}}_toggleExpansion(e){const t=this.titles[e],n=this.layout.widgets[e],i=this._computeWidgetSize(e);i&&this.setRelativeSizes(i,!1),n.isHidden?(t.classList.add("lm-mod-expanded"),t.setAttribute("aria-expanded","true"),n.show()):(t.classList.remove("lm-mod-expanded"),t.setAttribute("aria-expanded","false"),n.hide()),this._expansionToggled.emit(e)}}!function(e){class t extends ge.Renderer{constructor(){super(),this.titleClassName="lm-AccordionPanel-title",this._titleID=0,this._titleKeys=new WeakMap,this._uuid=++t._nInstance}createCollapseIcon(e){return document.createElement("span")}createSectionTitle(e){const t=document.createElement("h3");t.setAttribute("tabindex","0"),t.id=this.createTitleKey(e),t.className=this.titleClassName;for(const n in e.dataset)t.dataset[n]=e.dataset[n];t.appendChild(this.createCollapseIcon(e)).className="lm-AccordionPanel-titleCollapser";const n=t.appendChild(document.createElement("span"));return n.className="lm-AccordionPanel-titleLabel",n.textContent=e.label,n.title=e.caption||e.label,t}createTitleKey(e){let t=this._titleKeys.get(e);return void 0===t&&(t=`title-key-${this._uuid}-${this._titleID++}`,this._titleKeys.set(e,t)),t}}t._nInstance=0,e.Renderer=t,e.defaultRenderer=new t}(ve||(ve={})),function(e){e.createLayout=function(e){return e.layout||new fe({renderer:e.renderer||ve.defaultRenderer,orientation:e.orientation,alignment:e.alignment,spacing:e.spacing,titleSpace:e.titleSpace})}}(oe||(oe={}));class _e extends te{constructor(e={}){super(),this._fixed=0,this._spacing=4,this._dirty=!1,this._sizers=[],this._items=[],this._box=null,this._alignment="start",this._direction="top-to-bottom",void 0!==e.direction&&(this._direction=e.direction),void 0!==e.alignment&&(this._alignment=e.alignment),void 0!==e.spacing&&(this._spacing=he.clampDimension(e.spacing))}dispose(){for(const e of this._items)e.dispose();this._box=null,this._items.length=0,this._sizers.length=0,super.dispose()}get direction(){return this._direction}set direction(e){this._direction!==e&&(this._direction=e,this.parent&&(this.parent.dataset.direction=e,this.parent.fit()))}get alignment(){return this._alignment}set alignment(e){this._alignment!==e&&(this._alignment=e,this.parent&&(this.parent.dataset.alignment=e,this.parent.update()))}get spacing(){return this._spacing}set spacing(e){e=he.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}init(){this.parent.dataset.direction=this.direction,this.parent.dataset.alignment=this.alignment,super.init()}attachWidget(e,t){i.insert(this._items,e,new ee(t)),i.insert(this._sizers,e,new X),this.parent.isAttached&&f.sendMessage(t,Q.Msg.BeforeAttach),this.parent.node.appendChild(t.node),this.parent.isAttached&&f.sendMessage(t,Q.Msg.AfterAttach),this.parent.fit()}moveWidget(e,t,n){i.move(this._items,e,t),i.move(this._sizers,e,t),this.parent.update()}detachWidget(e,t){let n=i.removeAt(this._items,e);i.removeAt(this._sizers,e),this.parent.isAttached&&f.sendMessage(t,Q.Msg.BeforeDetach),this.parent.node.removeChild(t.node),this.parent.isAttached&&f.sendMessage(t,Q.Msg.AfterDetach),n.dispose(),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){let e=0;for(let t=0,n=this._items.length;t0)switch(this._alignment){case"start":break;case"center":l=0,c=i/2;break;case"end":l=0,c=i;break;case"justify":l=i/n,c=0;break;default:throw"unreachable"}for(let e=0,t=this._items.length;e0,coerce:(e,t)=>Math.max(0,Math.floor(t)),changed:t}),e.sizeBasisProperty=new T.AttachedProperty({name:"sizeBasis",create:()=>0,coerce:(e,t)=>Math.max(0,Math.floor(t)),changed:t}),e.isHorizontal=function(e){return"left-to-right"===e||"right-to-left"===e},e.clampSpacing=function(e){return Math.max(0,Math.floor(e))}}(ae||(ae={}));class be extends me{constructor(e={}){super({layout:le.createLayout(e)}),this.addClass("lm-BoxPanel")}get direction(){return this.layout.direction}set direction(e){this.layout.direction=e}get alignment(){return this.layout.alignment}set alignment(e){this.layout.alignment=e}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}onChildAdded(e){e.child.addClass("lm-BoxPanel-child")}onChildRemoved(e){e.child.removeClass("lm-BoxPanel-child")}}!function(e){e.getStretch=function(e){return _e.getStretch(e)},e.setStretch=function(e,t){_e.setStretch(e,t)},e.getSizeBasis=function(e){return _e.getSizeBasis(e)},e.setSizeBasis=function(e,t){_e.setSizeBasis(e,t)}}(be||(be={})),function(e){e.createLayout=function(e){return e.layout||new _e(e)}}(le||(le={}));class ye extends Q{constructor(e){super({node:ue.createNode()}),this._activeIndex=-1,this._items=[],this._results=null,this.addClass("lm-CommandPalette"),this.setFlag(Q.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||ye.defaultRenderer,this.commands.commandChanged.connect(this._onGenericChange,this),this.commands.keyBindingChanged.connect(this._onGenericChange,this)}dispose(){this._items.length=0,this._results=null,super.dispose()}get searchNode(){return this.node.getElementsByClassName("lm-CommandPalette-search")[0]}get inputNode(){return this.node.getElementsByClassName("lm-CommandPalette-input")[0]}get contentNode(){return this.node.getElementsByClassName("lm-CommandPalette-content")[0]}get items(){return this._items}addItem(e){let t=ue.createItem(this.commands,e);return this._items.push(t),this.refresh(),t}addItems(e){const t=e.map((e=>ue.createItem(this.commands,e)));return t.forEach((e=>this._items.push(e))),this.refresh(),t}removeItem(e){this.removeItemAt(this._items.indexOf(e))}removeItemAt(e){i.removeAt(this._items,e)&&this.refresh()}clearItems(){0!==this._items.length&&(this._items.length=0,this.refresh())}refresh(){this._results=null,""!==this.inputNode.value?this.node.getElementsByClassName("lm-close-icon")[0].style.display="inherit":this.node.getElementsByClassName("lm-close-icon")[0].style.display="none",this.update()}handleEvent(e){switch(e.type){case"click":this._evtClick(e);break;case"keydown":this._evtKeyDown(e);break;case"input":this.refresh();break;case"focus":case"blur":this._toggleFocused()}}onBeforeAttach(e){this.node.addEventListener("click",this),this.node.addEventListener("keydown",this),this.node.addEventListener("input",this),this.node.addEventListener("focus",this,!0),this.node.addEventListener("blur",this,!0)}onAfterDetach(e){this.node.removeEventListener("click",this),this.node.removeEventListener("keydown",this),this.node.removeEventListener("input",this),this.node.removeEventListener("focus",this,!0),this.node.removeEventListener("blur",this,!0)}onAfterShow(e){this.update(),super.onAfterShow(e)}onActivateRequest(e){if(this.isAttached){let e=this.inputNode;e.focus(),e.select()}}onUpdateRequest(e){if(this.isHidden)return;let t=this.inputNode.value,n=this.contentNode,r=this._results;if(r||(r=this._results=ue.search(this._items,t),this._activeIndex=t?i.findFirstIndex(r,ue.canActivate):-1),!t&&0===r.length)return void F.render(null,n);if(t&&0===r.length){let e=this.renderer.renderEmptyMessage({query:t});return void F.render(e,n)}let s=this.renderer,o=this._activeIndex,a=new Array(r.length);for(let e=0,t=r.length;e=r.length)n.scrollTop=0;else{let e=n.children[o];u.scrollIntoViewIfNeeded(n,e)}}_evtClick(e){if(0!==e.button)return;if(e.target.classList.contains("lm-close-icon"))return this.inputNode.value="",void this.refresh();let t=i.findFirstIndex(this.contentNode.children,(t=>t.contains(e.target)));-1!==t&&(e.preventDefault(),e.stopPropagation(),this._execute(t))}_evtKeyDown(e){if(!(e.altKey||e.ctrlKey||e.metaKey||e.shiftKey))switch(e.keyCode){case 13:e.preventDefault(),e.stopPropagation(),this._execute(this._activeIndex);break;case 38:e.preventDefault(),e.stopPropagation(),this._activatePreviousItem();break;case 40:e.preventDefault(),e.stopPropagation(),this._activateNextItem()}}_activateNextItem(){if(!this._results||0===this._results.length)return;let e=this._activeIndex,t=this._results.length,n=ee-t)),d=a.slice(0,c),h=a.slice(c);for(let e=0,t=h.length;en.command===e&&m.JSONExt.deepEqual(n.args,t)))||null}}}(ue||(ue={}));class we extends Q{constructor(e){super({node:ce.createNode()}),this._childIndex=-1,this._activeIndex=-1,this._openTimerID=0,this._closeTimerID=0,this._items=[],this._childMenu=null,this._parentMenu=null,this._aboutToClose=new O.Signal(this),this._menuRequested=new O.Signal(this),this.addClass("lm-Menu"),this.setFlag(Q.Flag.DisallowLayout),this.commands=e.commands,this.renderer=e.renderer||we.defaultRenderer}dispose(){this.close(),this._items.length=0,super.dispose()}get aboutToClose(){return this._aboutToClose}get menuRequested(){return this._menuRequested}get parentMenu(){return this._parentMenu}get childMenu(){return this._childMenu}get rootMenu(){let e=this;for(;e._parentMenu;)e=e._parentMenu;return e}get leafMenu(){let e=this;for(;e._childMenu;)e=e._childMenu;return e}get contentNode(){return this.node.getElementsByClassName("lm-Menu-content")[0]}get activeItem(){return this._items[this._activeIndex]||null}set activeItem(e){this.activeIndex=e?this._items.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._items.length)&&(e=-1),-1===e||ce.canActivate(this._items[e])||(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this._activeIndex>=0&&this.contentNode.childNodes[this._activeIndex]&&this.contentNode.childNodes[this._activeIndex].focus(),this.update())}get items(){return this._items}activateNextItem(){let e=this._items.length,t=this._activeIndex,n=t{this.activeIndex=e}})}F.render(s,this.contentNode)}onCloseRequest(e){this._cancelOpenTimer(),this._cancelCloseTimer(),this.activeIndex=-1;let t=this._childMenu;t&&(this._childIndex=-1,this._childMenu=null,t._parentMenu=null,t.close());let n=this._parentMenu;n&&(this._parentMenu=null,n._childIndex=-1,n._childMenu=null,n.activate()),this.isAttached&&this._aboutToClose.emit(void 0),super.onCloseRequest(e)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation();let t=e.keyCode;if(13===t)return void this.triggerActiveItem();if(27===t)return void this.close();if(37===t)return void(this._parentMenu?this.close():this._menuRequested.emit("previous"));if(38===t)return void this.activatePreviousItem();if(39===t){let e=this.activeItem;return void(e&&"submenu"===e.type?this.triggerActiveItem():this.rootMenu._menuRequested.emit("next"))}if(40===t)return void this.activateNextItem();let n=P().keyForKeydownEvent(e);if(!n)return;let i=this._activeIndex+1,r=ce.findMnemonic(this._items,n,i);-1===r.index||r.multiple?-1!==r.index?this.activeIndex=r.index:-1!==r.auto&&(this.activeIndex=r.auto):(this.activeIndex=r.index,this.triggerActiveItem())}_evtMouseUp(e){0===e.button&&(e.preventDefault(),e.stopPropagation(),this.triggerActiveItem())}_evtMouseMove(e){let t=i.findFirstIndex(this.contentNode.children,(t=>u.hitTest(t,e.clientX,e.clientY)));if(t===this._activeIndex)return;if(this.activeIndex=t,t=this.activeIndex,t===this._childIndex)return this._cancelOpenTimer(),void this._cancelCloseTimer();-1!==this._childIndex&&this._startCloseTimer(),this._cancelOpenTimer();let n=this.activeItem;n&&"submenu"===n.type&&n.submenu&&this._startOpenTimer()}_evtMouseEnter(e){for(let e=this._parentMenu;e;e=e._parentMenu)e._cancelOpenTimer(),e._cancelCloseTimer(),e.activeIndex=e._childIndex}_evtMouseLeave(e){if(this._cancelOpenTimer(),!this._childMenu)return void(this.activeIndex=-1);let{clientX:t,clientY:n}=e;u.hitTest(this._childMenu.node,t,n)?this._cancelCloseTimer():(this.activeIndex=-1,this._startCloseTimer())}_evtMouseDown(e){this._parentMenu||(ce.hitTestMenus(this,e.clientX,e.clientY)?(e.preventDefault(),e.stopPropagation()):this.close())}_openChildMenu(e=!1){let t=this.activeItem;if(!t||"submenu"!==t.type||!t.submenu)return void this._closeChildMenu();let n=t.submenu;if(n===this._childMenu)return;we.saveWindowData(),this._closeChildMenu(),this._childMenu=n,this._childIndex=this._activeIndex,n._parentMenu=this,f.sendMessage(this,Q.Msg.UpdateRequest);let i=this.contentNode.children[this._activeIndex];ce.openSubmenu(n,i),e&&(n.activeIndex=-1,n.activateNextItem()),n.activate()}_closeChildMenu(){this._childMenu&&this._childMenu.close()}_startOpenTimer(){0===this._openTimerID&&(this._openTimerID=window.setTimeout((()=>{this._openTimerID=0,this._openChildMenu()}),ce.TIMER_DELAY))}_startCloseTimer(){0===this._closeTimerID&&(this._closeTimerID=window.setTimeout((()=>{this._closeTimerID=0,this._closeChildMenu()}),ce.TIMER_DELAY))}_cancelOpenTimer(){0!==this._openTimerID&&(clearTimeout(this._openTimerID),this._openTimerID=0)}_cancelCloseTimer(){0!==this._closeTimerID&&(clearTimeout(this._closeTimerID),this._closeTimerID=0)}static saveWindowData(){ce.saveWindowData()}}!function(e){class t{renderItem(e){let t=this.createItemClass(e),n=this.createItemDataset(e),i=this.createItemARIA(e);return J.li({className:t,dataset:n,tabindex:"0",onfocus:e.onfocus,...i},this.renderIcon(e),this.renderLabel(e),this.renderShortcut(e),this.renderSubmenu(e))}renderIcon(e){let t=this.createIconClass(e);return J.div({className:t},e.item.icon,e.item.iconLabel)}renderLabel(e){let t=this.formatLabel(e);return J.div({className:"lm-Menu-itemLabel"},t)}renderShortcut(e){let t=this.formatShortcut(e);return J.div({className:"lm-Menu-itemShortcut"},t)}renderSubmenu(e){return J.div({className:"lm-Menu-itemSubmenuIcon"})}createItemClass(e){let t="lm-Menu-item";e.item.isEnabled||(t+=" lm-mod-disabled"),e.item.isToggled&&(t+=" lm-mod-toggled"),e.item.isVisible||(t+=" lm-mod-hidden"),e.active&&(t+=" lm-mod-active"),e.collapsed&&(t+=" lm-mod-collapsed");let n=e.item.className;return n&&(t+=` ${n}`),t}createItemDataset(e){let t,{type:n,command:i,dataset:r}=e.item;return t="command"===n?{...r,type:n,command:i}:{...r,type:n},t}createIconClass(e){let t="lm-Menu-itemIcon",n=e.item.iconClass;return n?`${t} ${n}`:t}createItemARIA(e){let t={};switch(e.item.type){case"separator":t.role="presentation";break;case"submenu":t["aria-haspopup"]="true",e.item.isEnabled||(t["aria-disabled"]="true");break;default:e.item.isEnabled||(t["aria-disabled"]="true"),t.role="menuitem"}return t}formatLabel(e){let{label:t,mnemonic:n}=e.item;if(n<0||n>=t.length)return t;let i=t.slice(0,n),r=t.slice(n+1),s=t[n];return[i,J.span({className:"lm-Menu-itemMnemonic"},s),r]}formatShortcut(e){let t=e.item.keyBinding;return t?W.formatKeystroke(t.keys):null}}e.Renderer=t,e.defaultRenderer=new t}(we||(we={})),function(e){e.TIMER_DELAY=300,e.SUBMENU_OVERLAP=3;let t=null,n=0;function r(){return n>0?(n--,t):o()}function s(e){return"separator"!==e.type&&e.isEnabled&&e.isVisible}function o(){return{pageXOffset:window.pageXOffset,pageYOffset:window.pageYOffset,clientWidth:document.documentElement.clientWidth,clientHeight:document.documentElement.clientHeight}}e.saveWindowData=function(){t=o(),n++},e.createNode=function(){let e=document.createElement("div"),t=document.createElement("ul");return t.className="lm-Menu-content",e.appendChild(t),t.setAttribute("role","menu"),e.tabIndex=0,e},e.canActivate=s,e.createItem=function(e,t){return new a(e.commands,t)},e.hitTestMenus=function(e,t,n){for(let i=e;i;i=i.childMenu)if(u.hitTest(i.node,t,n))return!0;return!1},e.computeCollapsed=function(e){let t=new Array(e.length);i.fill(t,!1);let n=0,r=e.length;for(;n=0;--s){let n=e[s];if(n.isVisible){if("separator"!==n.type)break;t[s]=!0}}let o=!1;for(;++nu+d&&(t=u+d-v),!s&&n+_>c+h&&(n>c+h?n=c+h-_:n-=_),g.transform=`translate(${Math.max(0,t)}px, ${Math.max(0,n)}px`,g.opacity="1"},e.openSubmenu=function(t,n){const i=r();let s=i.pageXOffset,o=i.pageYOffset,a=i.clientWidth,l=i.clientHeight;f.sendMessage(t,Q.Msg.UpdateRequest);let c=l,d=t.node,h=d.style;h.opacity="0",h.maxHeight=`${c}px`,Q.attach(t,document.body);let{width:p,height:m}=d.getBoundingClientRect(),g=u.boxSizing(t.node),v=n.getBoundingClientRect(),_=v.right-e.SUBMENU_OVERLAP;_+p>s+a&&(_=v.left+e.SUBMENU_OVERLAP-p);let b=v.top-g.borderTop-g.paddingTop;b+m>o+l&&(b=v.bottom+g.borderBottom+g.paddingBottom-m),h.transform=`translate(${Math.max(0,_)}px, ${Math.max(0,b)}px`,h.opacity="1"},e.findMnemonic=function(e,t,n){let i=-1,r=-1,o=!1,a=t.toUpperCase();for(let t=0,l=e.length;t=0&&hn.command===e&&m.JSONExt.deepEqual(n.args,t)))||null}return null}}}(ce||(ce={}));class xe{constructor(e){this._groupByTarget=!0,this._idTick=0,this._items=[],this._sortBySelector=!0;const{groupByTarget:t,sortBySelector:n,...i}=e;this.menu=new we(i),this._groupByTarget=!1!==t,this._sortBySelector=!1!==n}addItem(e){let t=de.createItem(e,this._idTick++);return this._items.push(t),new I.DisposableDelegate((()=>{i.removeFirstOf(this._items,t)}))}open(e){if(we.saveWindowData(),this.menu.clearItems(),0===this._items.length)return!1;let t=de.matchItems(this._items,e,this._groupByTarget,this._sortBySelector);if(!t||0===t.length)return!1;for(const e of t)this.menu.addItem(e);return this.menu.open(e.clientX,e.clientY),!0}}!function(e){function t(e,t){let n=e.rank,i=t.rank;return n!==i?n=this._titles.length)&&(e=-1),this._currentIndex===e)return;let t=this._currentIndex,n=this._titles[t]||null,i=e,r=this._titles[i]||null;this._currentIndex=i,this._previousTitle=n,this.update(),this._currentChanged.emit({previousIndex:t,previousTitle:n,currentIndex:i,currentTitle:r})}get name(){return this._name}set name(e){this._name=e,e?this.contentNode.setAttribute("aria-label",e):this.contentNode.removeAttribute("aria-label")}get orientation(){return this._orientation}set orientation(e){this._orientation!==e&&(this._releaseMouse(),this._orientation=e,this.dataset.orientation=e,this.contentNode.setAttribute("aria-orientation",e))}get addButtonEnabled(){return this._addButtonEnabled}set addButtonEnabled(e){this._addButtonEnabled!==e&&(this._addButtonEnabled=e,e?this.addButtonNode.classList.remove("lm-mod-hidden"):this.addButtonNode.classList.add("lm-mod-hidden"))}get titles(){return this._titles}get contentNode(){return this.node.getElementsByClassName("lm-TabBar-content")[0]}get addButtonNode(){return this.node.getElementsByClassName("lm-TabBar-addButton")[0]}addTab(e){return this.insertTab(this._titles.length,e)}insertTab(e,t){this._releaseMouse();let n=Ce.asTitle(t),r=this._titles.indexOf(n),s=Math.max(0,Math.min(e,this._titles.length));return-1===r?(i.insert(this._titles,s,n),n.changed.connect(this._onTitleChanged,this),this.update(),this._adjustCurrentForInsert(s,n),n):(s===this._titles.length&&s--,r===s||(i.move(this._titles,r,s),this.update(),this._adjustCurrentForMove(r,s)),n)}removeTab(e){this.removeTabAt(this._titles.indexOf(e))}removeTabAt(e){this._releaseMouse();let t=i.removeAt(this._titles,e);t&&(t.changed.disconnect(this._onTitleChanged,this),t===this._previousTitle&&(this._previousTitle=null),this.update(),this._adjustCurrentForRemove(e,t))}clearTabs(){if(0===this._titles.length)return;this._releaseMouse();for(let e of this._titles)e.changed.disconnect(this._onTitleChanged,this);let e=this.currentIndex,t=this.currentTitle;this._currentIndex=-1,this._previousTitle=null,this._titles.length=0,this.update(),-1!==e&&this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}releaseMouse(){this._releaseMouse()}handleEvent(e){switch(e.type){case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"dblclick":this._evtDblClick(e);break;case"keydown":e.eventPhase===Event.CAPTURING_PHASE?this._evtKeyDownCapturing(e):this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation()}}onBeforeAttach(e){this.node.addEventListener("pointerdown",this),this.node.addEventListener("dblclick",this),this.node.addEventListener("keydown",this)}onAfterDetach(e){this.node.removeEventListener("pointerdown",this),this.node.removeEventListener("dblclick",this),this.node.removeEventListener("keydown",this),this._releaseMouse()}onUpdateRequest(e){var t;let n=this._titles,i=this.renderer,r=this.currentTitle,s=new Array(n.length);const o=null!==(t=this._getCurrentTabindex())&&void 0!==t?t:this._currentIndex>-1?this._currentIndex:0;for(let e=0,t=n.length;eu.hitTest(t,e.clientX,e.clientY)));if(-1===n)return;let r=this.titles[n],s=t[n].querySelector(".lm-TabBar-tabLabel");if(s&&s.contains(e.target)){let e=r.label||"",t=s.innerHTML;s.innerHTML="";let n=document.createElement("input");n.classList.add("lm-TabBar-tabInput"),n.value=e,s.appendChild(n);let i=()=>{n.removeEventListener("blur",i),s.innerHTML=t,this.node.addEventListener("keydown",this)};n.addEventListener("dblclick",(e=>e.stopPropagation())),n.addEventListener("blur",i),n.addEventListener("keydown",(e=>{"Enter"===e.key?(""!==n.value&&(r.label=r.caption=n.value),i()):"Escape"===e.key&&i()})),this.node.removeEventListener("keydown",this),n.select(),n.focus(),s.children.length>0&&s.children[0].focus()}}_evtKeyDownCapturing(e){e.eventPhase===Event.CAPTURING_PHASE&&(e.preventDefault(),e.stopPropagation(),"Escape"===e.key&&this._releaseMouse())}_evtKeyDown(e){var t,n,r;if("Tab"!==e.key&&e.eventPhase!==Event.CAPTURING_PHASE)if("Enter"===e.key||"Spacebar"===e.key||" "===e.key){const t=document.activeElement;if(this.addButtonEnabled&&this.addButtonNode.contains(t))e.preventDefault(),e.stopPropagation(),this._addRequested.emit();else{const n=i.findFirstIndex(this.contentNode.children,(e=>e.contains(t)));n>=0&&(e.preventDefault(),e.stopPropagation(),this.currentIndex=n)}}else if(Se.includes(e.key)){const i=[...this.contentNode.children];if(this.addButtonEnabled&&i.push(this.addButtonNode),i.length<=1)return;e.preventDefault(),e.stopPropagation();let s,o=i.indexOf(document.activeElement);-1===o&&(o=this._currentIndex),"ArrowRight"===e.key&&"horizontal"===this._orientation||"ArrowDown"===e.key&&"vertical"===this._orientation?s=null!==(t=i[o+1])&&void 0!==t?t:i[0]:"ArrowLeft"===e.key&&"horizontal"===this._orientation||"ArrowUp"===e.key&&"vertical"===this._orientation?s=null!==(n=i[o-1])&&void 0!==n?n:i[i.length-1]:"Home"===e.key?s=i[0]:"End"===e.key&&(s=i[i.length-1]),s&&(null===(r=i[o])||void 0===r||r.setAttribute("tabindex","-1"),null==s||s.setAttribute("tabindex","0"),s.focus())}}_evtPointerDown(e){if(0!==e.button&&1!==e.button)return;if(this._dragData)return;if(e.target.classList.contains("lm-TabBar-tabInput"))return;let t=this.addButtonEnabled&&this.addButtonNode.contains(e.target),n=this.contentNode.children,r=i.findFirstIndex(n,(t=>u.hitTest(t,e.clientX,e.clientY)));if(-1===r&&!t)return;if(e.preventDefault(),e.stopPropagation(),this._dragData={tab:n[r],index:r,pressX:e.clientX,pressY:e.clientY,tabPos:-1,tabSize:-1,tabPressPos:-1,targetIndex:-1,tabLayout:null,contentRect:null,override:null,dragActive:!1,dragAborted:!1,detachRequested:!1},this.document.addEventListener("pointerup",this,!0),1===e.button||t)return;let s=n[r].querySelector(this.renderer.closeIconSelector);s&&s.contains(e.target)||(this.tabsMovable&&(this.document.addEventListener("pointermove",this,!0),this.document.addEventListener("keydown",this,!0),this.document.addEventListener("contextmenu",this,!0)),this.allowDeselect&&this.currentIndex===r?this.currentIndex=-1:this.currentIndex=r,-1!==this.currentIndex&&this._tabActivateRequested.emit({index:this.currentIndex,title:this.currentTitle}))}_evtPointerMove(e){let t=this._dragData;if(!t)return;e.preventDefault(),e.stopPropagation();let n=this.contentNode.children;if(t.dragActive||Ce.dragExceeded(t,e)){if(!t.dragActive){let e=t.tab.getBoundingClientRect();"horizontal"===this._orientation?(t.tabPos=t.tab.offsetLeft,t.tabSize=e.width,t.tabPressPos=t.pressX-e.left):(t.tabPos=t.tab.offsetTop,t.tabSize=e.height,t.tabPressPos=t.pressY-e.top),t.tabPressOffset={x:t.pressX-e.left,y:t.pressY-e.top},t.tabLayout=Ce.snapTabLayout(n,this._orientation),t.contentRect=this.contentNode.getBoundingClientRect(),t.override=A.overrideCursor("default"),t.tab.classList.add("lm-mod-dragging"),this.addClass("lm-mod-dragging"),t.dragActive=!0}if(!t.detachRequested&&Ce.detachExceeded(t,e)){t.detachRequested=!0;let i=t.index,r=e.clientX,s=e.clientY,o=n[i],a=this._titles[i];if(this._tabDetachRequested.emit({index:i,title:a,tab:o,clientX:r,clientY:s,offset:t.tabPressOffset}),t.dragAborted)return}Ce.layoutTabs(n,t,e,this._orientation)}}_evtPointerUp(e){if(0!==e.button&&1!==e.button)return;const t=this._dragData;if(!t)return;if(e.preventDefault(),e.stopPropagation(),this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),!t.dragActive){if(this._dragData=null,this.addButtonEnabled&&this.addButtonNode.contains(e.target))return void this._addRequested.emit(void 0);let n=this.contentNode.children,r=i.findFirstIndex(n,(t=>u.hitTest(t,e.clientX,e.clientY)));if(r!==t.index)return;let s=this._titles[r];if(!s.closable)return;if(1===e.button)return void this._tabCloseRequested.emit({index:r,title:s});let o=n[r].querySelector(this.renderer.closeIconSelector);return o&&o.contains(e.target)?void this._tabCloseRequested.emit({index:r,title:s}):void 0}if(0!==e.button)return;Ce.finalizeTabPosition(t,this._orientation),t.tab.classList.remove("lm-mod-dragging");let n=Ce.parseTransitionDuration(t.tab);setTimeout((()=>{if(t.dragAborted)return;this._dragData=null,Ce.resetTabPositions(this.contentNode.children,this._orientation),t.override.dispose(),this.removeClass("lm-mod-dragging");let e=t.index,n=t.targetIndex;-1!==n&&e!==n&&(i.move(this._titles,e,n),this._adjustCurrentForMove(e,n),this._tabMoved.emit({fromIndex:e,toIndex:n,title:this._titles[n]}),f.sendMessage(this,Q.Msg.UpdateRequest))}),n)}_releaseMouse(){let e=this._dragData;e&&(this._dragData=null,this.document.removeEventListener("pointermove",this,!0),this.document.removeEventListener("pointerup",this,!0),this.document.removeEventListener("keydown",this,!0),this.document.removeEventListener("contextmenu",this,!0),e.dragAborted=!0,e.dragActive&&(Ce.resetTabPositions(this.contentNode.children,this._orientation),e.override.dispose(),e.tab.classList.remove("lm-mod-dragging"),this.removeClass("lm-mod-dragging")))}_adjustCurrentForInsert(e,t){let n=this.currentTitle,i=this._currentIndex,r=this.insertBehavior;if("select-tab"===r||"select-tab-if-needed"===r&&-1===i)return this._currentIndex=e,this._previousTitle=n,void this._currentChanged.emit({previousIndex:i,previousTitle:n,currentIndex:e,currentTitle:t});i>=e&&this._currentIndex++}_adjustCurrentForMove(e,t){this._currentIndex===e?this._currentIndex=t:this._currentIndex=t?this._currentIndex++:this._currentIndex>e&&this._currentIndex<=t&&this._currentIndex--}_adjustCurrentForRemove(e,t){let n=this._currentIndex,i=this.removeBehavior;if(n===e){if(0===this._titles.length)return this._currentIndex=-1,void this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null});if("select-tab-after"===i)return this._currentIndex=Math.min(e,this._titles.length-1),void this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});if("select-tab-before"===i)return this._currentIndex=Math.max(0,e-1),void this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});if("select-previous-tab"===i)return this._previousTitle?(this._currentIndex=this._titles.indexOf(this._previousTitle),this._previousTitle=null):this._currentIndex=Math.min(e,this._titles.length-1),void this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:this._currentIndex,currentTitle:this.currentTitle});this._currentIndex=-1,this._currentChanged.emit({previousIndex:e,previousTitle:t,currentIndex:-1,currentTitle:null})}else n>e&&this._currentIndex--}_onTitleChanged(e){this.update()}}var Ce,ke,Me,Te,Oe,Ie,Ae,Pe;!function(e){class t{constructor(){this.closeIconSelector=".lm-TabBar-tabCloseIcon",this._tabID=0,this._tabKeys=new WeakMap,this._uuid=++t._nInstance}renderTab(e){let t=e.title.caption,n=this.createTabKey(e),i=n,r=this.createTabStyle(e),s=this.createTabClass(e),o=this.createTabDataset(e),a=this.createTabARIA(e);return e.title.closable?J.li({id:i,key:n,className:s,title:t,style:r,dataset:o,...a},this.renderIcon(e),this.renderLabel(e),this.renderCloseIcon(e)):J.li({id:i,key:n,className:s,title:t,style:r,dataset:o,...a},this.renderIcon(e),this.renderLabel(e))}renderIcon(e){const{title:t}=e;let n=this.createIconClass(e);return J.div({className:n},t.icon,t.iconLabel)}renderLabel(e){return J.div({className:"lm-TabBar-tabLabel"},e.title.label)}renderCloseIcon(e){return J.div({className:"lm-TabBar-tabCloseIcon"})}createTabKey(e){let t=this._tabKeys.get(e.title);return void 0===t&&(t=`tab-key-${this._uuid}-${this._tabID++}`,this._tabKeys.set(e.title,t)),t}createTabStyle(e){return{zIndex:`${e.zIndex}`}}createTabClass(e){let t="lm-TabBar-tab";return e.title.className&&(t+=` ${e.title.className}`),e.title.closable&&(t+=" lm-mod-closable"),e.current&&(t+=" lm-mod-current"),t}createTabDataset(e){return e.title.dataset}createTabARIA(e){var t;return{role:"tab","aria-selected":e.current.toString(),tabindex:`${null!==(t=e.tabIndex)&&void 0!==t?t:"-1"}`}}createIconClass(e){let t="lm-TabBar-tabIcon",n=e.title.iconClass;return n?`${t} ${n}`:t}}t._nInstance=0,e.Renderer=t,e.defaultRenderer=new t,e.addButtonSelector=".lm-TabBar-addButton"}(Ee||(Ee={})),function(e){e.DRAG_THRESHOLD=5,e.DETACH_THRESHOLD=20,e.createNode=function(){let e=document.createElement("div"),t=document.createElement("ul");t.setAttribute("role","tablist"),t.className="lm-TabBar-content",e.appendChild(t);let n=document.createElement("div");return n.className="lm-TabBar-addButton lm-mod-hidden",n.setAttribute("tabindex","-1"),n.setAttribute("role","button"),e.appendChild(n),e},e.asTitle=function(e){return e instanceof Y?e:new Y(e)},e.parseTransitionDuration=function(e){let t=window.getComputedStyle(e);return 1e3*(parseFloat(t.transitionDuration)||0)},e.snapTabLayout=function(e,t){let n=new Array(e.length);for(let i=0,r=e.length;i=e.DRAG_THRESHOLD||r>=e.DRAG_THRESHOLD},e.detachExceeded=function(t,n){let i=t.contentRect;return n.clientX=i.right+e.DETACH_THRESHOLD||n.clientY=i.bottom+e.DETACH_THRESHOLD},e.layoutTabs=function(e,t,n,i){let r,s,o,a;"horizontal"===i?(r=t.pressX,s=n.clientX-t.contentRect.left,o=n.clientX,a=t.contentRect.width):(r=t.pressY,s=n.clientY-t.contentRect.top,o=n.clientY,a=t.contentRect.height);let l=t.index,u=s-t.tabPressPos,c=u+t.tabSize;for(let n=0,s=e.length;n>1);if(nt.index&&c>h)s=-t.tabSize-d.margin+"px",l=Math.max(l,n);else if(n===t.index){let e=o-r,n=a-(t.tabPos+t.tabSize);s=`${Math.max(-t.tabPos,Math.min(e,n))}px`}else s="";"horizontal"===i?e[n].style.left=s:e[n].style.top=s}t.targetIndex=l},e.finalizeTabPosition=function(e,t){let n,i;if(n="horizontal"===t?e.contentRect.width:e.contentRect.height,e.targetIndex===e.index)i=0;else if(e.targetIndex>e.index){let t=e.tabLayout[e.targetIndex];i=t.pos+t.size-e.tabSize-e.tabPos}else i=e.tabLayout[e.targetIndex].pos-e.tabPos;let r=n-(e.tabPos+e.tabSize),s=Math.max(-e.tabPos,Math.min(i,r));"horizontal"===t?e.tab.style.left=`${s}px`:e.tab.style.top=`${s}px`},e.resetTabPositions=function(e,t){for(const n of e)"horizontal"===t?n.style.left="":n.style.top=""}}(Ce||(Ce={}));class Ne extends Z{constructor(e){super(),this._spacing=4,this._dirty=!1,this._root=null,this._box=null,this._items=new Map,this.renderer=e.renderer,void 0!==e.spacing&&(this._spacing=he.clampDimension(e.spacing)),this._document=e.document||document,this._hiddenMode=void 0!==e.hiddenMode?e.hiddenMode:Q.HiddenMode.Display}dispose(){let e=this[Symbol.iterator]();this._items.forEach((e=>{e.dispose()})),this._box=null,this._root=null,this._items.clear();for(const t of e)t.dispose();super.dispose()}get hiddenMode(){return this._hiddenMode}set hiddenMode(e){if(this._hiddenMode!==e){this._hiddenMode=e;for(const e of this.tabBars())if(e.titles.length>1)for(const t of e.titles)t.owner.hiddenMode=this._hiddenMode}}get spacing(){return this._spacing}set spacing(e){e=he.clampDimension(e),this._spacing!==e&&(this._spacing=e,this.parent&&this.parent.fit())}get isEmpty(){return null===this._root}[Symbol.iterator](){return this._root?this._root.iterAllWidgets():o()}widgets(){return this._root?this._root.iterUserWidgets():o()}selectedWidgets(){return this._root?this._root.iterSelectedWidgets():o()}tabBars(){return this._root?this._root.iterTabBars():o()}handles(){return this._root?this._root.iterHandles():o()}moveHandle(e,t,n){let i=e.classList.contains("lm-mod-hidden");if(!this._root||i)return;let r,s=this._root.findSplitNode(e);s&&(r="horizontal"===s.node.orientation?t-e.offsetLeft:n-e.offsetTop,0!==r&&(s.node.holdSizes(),U.adjust(s.node.sizers,s.index,r),this.parent&&this.parent.update()))}saveLayout(){return this._root?(this._root.holdAllSizes(),{main:this._root.createConfig()}):{main:null}}restoreLayout(e){let t,n=new Set;t=e.main?ke.normalizeAreaConfig(e.main,n):null;let i=this.widgets(),r=this.tabBars(),s=this.handles();this._root=null;for(const e of i)n.has(e)||(e.parent=null);for(const e of r)e.dispose();for(const e of s)e.parentNode&&e.parentNode.removeChild(e);for(const e of n)e.parent=this.parent;this._root=t?ke.realizeAreaConfig(t,{createTabBar:e=>this._createTabBar(),createHandle:()=>this._createHandle()},this._document):null,this.parent&&(n.forEach((e=>{this.attachWidget(e)})),this.parent.fit())}addWidget(e,t={}){let n=t.ref||null,i=t.mode||"tab-after",r=null;if(this._root&&n&&(r=this._root.findTabNode(n)),n&&!r)throw new Error("Reference widget is not in the layout.");switch(e.parent=this.parent,i){case"tab-after":this._insertTab(e,n,r,!0);break;case"tab-before":this._insertTab(e,n,r,!1);break;case"split-top":this._insertSplit(e,n,r,"vertical",!1);break;case"split-left":this._insertSplit(e,n,r,"horizontal",!1);break;case"split-right":this._insertSplit(e,n,r,"horizontal",!0);break;case"split-bottom":this._insertSplit(e,n,r,"vertical",!0);break;case"merge-top":this._insertSplit(e,n,r,"vertical",!1,!0);break;case"merge-left":this._insertSplit(e,n,r,"horizontal",!1,!0);break;case"merge-right":this._insertSplit(e,n,r,"horizontal",!0,!0);break;case"merge-bottom":this._insertSplit(e,n,r,"vertical",!0,!0)}this.parent&&(this.attachWidget(e),this.parent.fit())}removeWidget(e){this._removeWidget(e),this.parent&&(this.detachWidget(e),this.parent.fit())}hitTestTabAreas(e,t){if(!this._root||!this.parent||!this.parent.isVisible)return null;this._box||(this._box=u.boxSizing(this.parent.node));let n=this.parent.node.getBoundingClientRect(),i=e-n.left-this._box.borderLeft,r=t-n.top-this._box.borderTop,s=this._root.hitTestTabNodes(i,r);if(!s)return null;let{tabBar:o,top:a,left:l,width:c,height:d}=s,h=this._box.borderLeft+this._box.borderRight,p=this._box.borderTop+this._box.borderBottom;return{tabBar:o,x:i,y:r,top:a,left:l,right:n.width-h-(l+c),bottom:n.height-p-(a+d),width:c,height:d}}init(){super.init();for(const e of this)this.attachWidget(e);for(const e of this.handles())this.parent.node.appendChild(e);this.parent.fit()}attachWidget(e){this.parent.node!==e.node.parentNode&&(this._items.set(e,new ee(e)),this.parent.isAttached&&f.sendMessage(e,Q.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&f.sendMessage(e,Q.Msg.AfterAttach))}detachWidget(e){if(this.parent.node!==e.node.parentNode)return;this.parent.isAttached&&f.sendMessage(e,Q.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&f.sendMessage(e,Q.Msg.AfterDetach);let t=this._items.get(e);t&&(this._items.delete(e),t.dispose())}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_removeWidget(e){if(!this._root)return;let t=this._root.findTabNode(e);if(!t)return;if(ke.removeAria(e),t.tabBar.titles.length>1)return t.tabBar.removeTab(e.title),void(this._hiddenMode===Q.HiddenMode.Scale&&1==t.tabBar.titles.length&&(t.tabBar.titles[0].owner.hiddenMode=Q.HiddenMode.Display));if(t.tabBar.dispose(),this._root===t)return void(this._root=null);this._root.holdAllSizes();let n=t.parent;t.parent=null;let r=i.removeFirstOf(n.children,t),s=i.removeAt(n.handles,r);if(i.removeAt(n.sizers,r),s.parentNode&&s.parentNode.removeChild(s),n.children.length>1)return void n.syncHandles();let o=n.parent;n.parent=null;let a=n.children[0],l=n.handles[0];if(n.children.length=0,n.handles.length=0,n.sizers.length=0,l.parentNode&&l.parentNode.removeChild(l),this._root===n)return a.parent=null,void(this._root=a);let u=o,c=u.children.indexOf(n);if(a instanceof ke.TabLayoutNode)return a.parent=u,void(u.children[c]=a);let d=i.removeAt(u.handles,c);i.removeAt(u.children,c),i.removeAt(u.sizers,c),d.parentNode&&d.parentNode.removeChild(d);for(let e=0,t=a.children.length;e=n.length)&&(i=0),{type:"tab-area",widgets:n,currentIndex:i}}(t,n):function(t,n){let i=t.orientation,r=[],s=[];for(let o=0,a=t.children.length;o{let l=r(i,n,s),u=t(e.sizes[a]),c=n.createHandle();o.children.push(l),o.handles.push(c),o.sizers.push(u),l.parent=o})),o.syncHandles(),o.normalizeSizes(),o}(s,o,a),l};class n{constructor(e){this.parent=null,this._top=0,this._left=0,this._width=0,this._height=0;let t=new X,n=new X;t.stretch=0,n.stretch=1,this.tabBar=e,this.sizers=[t,n]}get top(){return this._top}get left(){return this._left}get width(){return this._width}get height(){return this._height}*iterAllWidgets(){yield this.tabBar,yield*this.iterUserWidgets()}*iterUserWidgets(){for(const e of this.tabBar.titles)yield e.owner}*iterSelectedWidgets(){let e=this.tabBar.currentTitle;e&&(yield e.owner)}*iterTabBars(){yield this.tabBar}*iterHandles(){}findTabNode(e){return-1!==this.tabBar.titles.indexOf(e.title)?this:null}findSplitNode(e){return null}findFirstTabNode(){return this}hitTestTabNodes(e,t){return e=this._left+this._width||t=this._top+this._height?null:this}createConfig(){return{type:"tab-area",widgets:this.tabBar.titles.map((e=>e.owner)),currentIndex:this.tabBar.currentIndex}}holdAllSizes(){}fit(e,t){let n=0,i=0,r=t.get(this.tabBar),s=this.tabBar.currentTitle,o=s?t.get(s.owner):void 0,[a,l]=this.sizers;return r&&r.fit(),o&&o.fit(),r&&!r.isHidden?(n=Math.max(n,r.minWidth),i+=r.minHeight,a.minSize=r.minHeight,a.maxSize=r.maxHeight):(a.minSize=0,a.maxSize=0),o&&!o.isHidden?(n=Math.max(n,o.minWidth),i+=o.minHeight,l.minSize=o.minHeight,l.maxSize=1/0):(l.minSize=0,l.maxSize=1/0),{minWidth:n,minHeight:i,maxWidth:1/0,maxHeight:1/0}}update(e,t,n,i,r,s){this._top=t,this._left=e,this._width=n,this._height=i;let o=s.get(this.tabBar),a=this.tabBar.currentTitle,l=a?s.get(a.owner):void 0;if(U.calc(this.sizers,i),o&&!o.isHidden){let i=this.sizers[0].size;o.update(e,t,n,i),t+=i}if(l&&!l.isHidden){let i=this.sizers[1].size;l.update(e,t,n,i)}}}e.TabLayoutNode=n;class i{constructor(e){this.parent=null,this.normalized=!1,this.children=[],this.sizers=[],this.handles=[],this.orientation=e}*iterAllWidgets(){for(const e of this.children)yield*e.iterAllWidgets()}*iterUserWidgets(){for(const e of this.children)yield*e.iterUserWidgets()}*iterSelectedWidgets(){for(const e of this.children)yield*e.iterSelectedWidgets()}*iterTabBars(){for(const e of this.children)yield*e.iterTabBars()}*iterHandles(){yield*this.handles;for(const e of this.children)yield*e.iterHandles()}findTabNode(e){for(let t=0,n=this.children.length;te.createConfig())),sizes:t}}syncHandles(){this.handles.forEach(((e,t)=>{e.setAttribute("data-orientation",this.orientation),t===this.handles.length-1?e.classList.add("lm-mod-hidden"):e.classList.remove("lm-mod-hidden")}))}holdSizes(){for(const e of this.sizers)e.sizeHint=e.size}holdAllSizes(){for(const e of this.children)e.holdAllSizes();this.holdSizes()}normalizeSizes(){let e=this.sizers.length;if(0===e)return;this.holdSizes();let t=this.sizers.reduce(((e,t)=>e+t.sizeHint),0);if(0===t)for(const t of this.sizers)t.size=t.sizeHint=1/e;else for(const e of this.sizers)e.size=e.sizeHint/=t;this.normalized=!0}createNormalizedSizes(){let e=this.sizers.length;if(0===e)return[];let t=this.sizers.map((e=>e.size)),n=t.reduce(((e,t)=>e+t),0);if(0===n)for(let n=t.length-1;n>-1;n--)t[n]=1/e;else for(let e=t.length-1;e>-1;e--)t[e]/=n;return t}fit(e,t){let n="horizontal"===this.orientation,i=Math.max(0,this.children.length-1)*e,r=n?i:0,s=n?0:i;for(let i=0,o=this.children.length;ithis._createTabBar(),createHandle:()=>this._createHandle()};this.layout=new Ne({document:this._document,renderer:t,spacing:e.spacing,hiddenMode:e.hiddenMode}),this.overlay=e.overlay||new Le.Overlay,this.node.appendChild(this.overlay.node)}dispose(){this._releaseMouse(),this.overlay.hide(0),this._drag&&this._drag.dispose(),super.dispose()}get hiddenMode(){return this.layout.hiddenMode}set hiddenMode(e){this.layout.hiddenMode=e}get layoutModified(){return this._layoutModified}get addRequested(){return this._addRequested}get renderer(){return this.layout.renderer}get spacing(){return this.layout.spacing}set spacing(e){this.layout.spacing=e}get mode(){return this._mode}set mode(e){if(this._mode===e)return;this._mode=e,this.dataset.mode=e;let t=this.layout;switch(e){case"multiple-document":for(const e of t.tabBars())e.show();break;case"single-document":t.restoreLayout(Me.createSingleDocumentConfig(this));break;default:throw"unreachable"}f.postMessage(this,Me.LayoutModified)}get tabsMovable(){return this._tabsMovable}set tabsMovable(e){this._tabsMovable=e;for(const t of this.tabBars())t.tabsMovable=e}get tabsConstrained(){return this._tabsConstrained}set tabsConstrained(e){this._tabsConstrained=e}get addButtonEnabled(){return this._addButtonEnabled}set addButtonEnabled(e){this._addButtonEnabled=e;for(const t of this.tabBars())t.addButtonEnabled=e}get isEmpty(){return this.layout.isEmpty}*widgets(){yield*this.layout.widgets()}*selectedWidgets(){yield*this.layout.selectedWidgets()}*tabBars(){yield*this.layout.tabBars()}*handles(){yield*this.layout.handles()}selectWidget(e){let t=a(this.tabBars(),(t=>-1!==t.titles.indexOf(e.title)));if(!t)throw new Error("Widget is not contained in the dock panel.");t.currentTitle=e.title}activateWidget(e){this.selectWidget(e),e.activate()}saveLayout(){return this.layout.saveLayout()}restoreLayout(e){this._mode="multiple-document",this.layout.restoreLayout(e),(c.IS_EDGE||c.IS_IE)&&f.flush(),f.postMessage(this,Me.LayoutModified)}addWidget(e,t={}){"single-document"===this._mode?this.layout.addWidget(e):this.layout.addWidget(e,t),f.postMessage(this,Me.LayoutModified)}processMessage(e){"layout-modified"===e.type?this._layoutModified.emit(void 0):super.processMessage(e)}handleEvent(e){switch(e.type){case"lm-dragenter":this._evtDragEnter(e);break;case"lm-dragleave":this._evtDragLeave(e);break;case"lm-dragover":this._evtDragOver(e);break;case"lm-drop":this._evtDrop(e);break;case"pointerdown":this._evtPointerDown(e);break;case"pointermove":this._evtPointerMove(e);break;case"pointerup":this._evtPointerUp(e);break;case"keydown":this._evtKeyDown(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation()}}onBeforeAttach(e){this.node.addEventListener("lm-dragenter",this),this.node.addEventListener("lm-dragleave",this),this.node.addEventListener("lm-dragover",this),this.node.addEventListener("lm-drop",this),this.node.addEventListener("pointerdown",this)}onAfterDetach(e){this.node.removeEventListener("lm-dragenter",this),this.node.removeEventListener("lm-dragleave",this),this.node.removeEventListener("lm-dragover",this),this.node.removeEventListener("lm-drop",this),this.node.removeEventListener("pointerdown",this),this._releaseMouse()}onChildAdded(e){Me.isGeneratedTabBarProperty.get(e.child)||e.child.addClass("lm-DockPanel-widget")}onChildRemoved(e){Me.isGeneratedTabBarProperty.get(e.child)||(e.child.removeClass("lm-DockPanel-widget"),f.postMessage(this,Me.LayoutModified))}_evtDragEnter(e){e.mimeData.hasData("application/vnd.lumino.widget-factory")&&(e.preventDefault(),e.stopPropagation())}_evtDragLeave(e){e.preventDefault(),this._tabsConstrained&&e.source!==this||(e.stopPropagation(),this.overlay.hide(1))}_evtDragOver(e){e.preventDefault(),this._tabsConstrained&&e.source!==this||"invalid"===this._showOverlay(e.clientX,e.clientY)?e.dropAction="none":(e.stopPropagation(),e.dropAction=e.proposedAction)}_evtDrop(e){if(e.preventDefault(),this.overlay.hide(0),"none"===e.proposedAction)return void(e.dropAction="none");let{clientX:t,clientY:n}=e,{zone:i,target:r}=Me.findDropTarget(this,t,n,this._edges);if(this._tabsConstrained&&e.source!==this||"invalid"===i)return void(e.dropAction="none");let s=e.mimeData.getData("application/vnd.lumino.widget-factory");if("function"!=typeof s)return void(e.dropAction="none");let o=s();if(!(o instanceof Q))return void(e.dropAction="none");if(o.contains(this))return void(e.dropAction="none");let a=r?Me.getDropRef(r.tabBar):null;switch(i){case"root-all":this.addWidget(o);break;case"root-top":this.addWidget(o,{mode:"split-top"});break;case"root-left":this.addWidget(o,{mode:"split-left"});break;case"root-right":this.addWidget(o,{mode:"split-right"});break;case"root-bottom":this.addWidget(o,{mode:"split-bottom"});break;case"widget-all":case"widget-tab":this.addWidget(o,{mode:"tab-after",ref:a});break;case"widget-top":this.addWidget(o,{mode:"split-top",ref:a});break;case"widget-left":this.addWidget(o,{mode:"split-left",ref:a});break;case"widget-right":this.addWidget(o,{mode:"split-right",ref:a});break;case"widget-bottom":this.addWidget(o,{mode:"split-bottom",ref:a});break;default:throw"unreachable"}e.dropAction=e.proposedAction,e.stopPropagation(),this.activateWidget(o)}_evtKeyDown(e){e.preventDefault(),e.stopPropagation(),27===e.keyCode&&(this._releaseMouse(),f.postMessage(this,Me.LayoutModified))}_evtPointerDown(e){if(0!==e.button)return;let t=this.layout,n=e.target,i=a(t.handles(),(e=>e.contains(n)));if(!i)return;e.preventDefault(),e.stopPropagation(),this._document.addEventListener("keydown",this,!0),this._document.addEventListener("pointerup",this,!0),this._document.addEventListener("pointermove",this,!0),this._document.addEventListener("contextmenu",this,!0);let r=i.getBoundingClientRect(),s=e.clientX-r.left,o=e.clientY-r.top,l=window.getComputedStyle(i),u=A.overrideCursor(l.cursor,this._document);this._pressData={handle:i,deltaX:s,deltaY:o,override:u}}_evtPointerMove(e){if(!this._pressData)return;e.preventDefault(),e.stopPropagation();let t=this.node.getBoundingClientRect(),n=e.clientX-t.left-this._pressData.deltaX,i=e.clientY-t.top-this._pressData.deltaY;this.layout.moveHandle(this._pressData.handle,n,i)}_evtPointerUp(e){0===e.button&&(e.preventDefault(),e.stopPropagation(),this._releaseMouse(),f.postMessage(this,Me.LayoutModified))}_releaseMouse(){this._pressData&&(this._pressData.override.dispose(),this._pressData=null,this._document.removeEventListener("keydown",this,!0),this._document.removeEventListener("pointerup",this,!0),this._document.removeEventListener("pointermove",this,!0),this._document.removeEventListener("contextmenu",this,!0))}_showOverlay(e,t){let n,i,r,s,{zone:o,target:a}=Me.findDropTarget(this,e,t,this._edges);if("invalid"===o)return this.overlay.hide(100),o;let l=u.boxSizing(this.node),c=this.node.getBoundingClientRect();switch(o){case"root-all":n=l.paddingTop,i=l.paddingLeft,r=l.paddingRight,s=l.paddingBottom;break;case"root-top":n=l.paddingTop,i=l.paddingLeft,r=l.paddingRight,s=c.height*Me.GOLDEN_RATIO;break;case"root-left":n=l.paddingTop,i=l.paddingLeft,r=c.width*Me.GOLDEN_RATIO,s=l.paddingBottom;break;case"root-right":n=l.paddingTop,i=c.width*Me.GOLDEN_RATIO,r=l.paddingRight,s=l.paddingBottom;break;case"root-bottom":n=c.height*Me.GOLDEN_RATIO,i=l.paddingLeft,r=l.paddingRight,s=l.paddingBottom;break;case"widget-all":n=a.top,i=a.left,r=a.right,s=a.bottom;break;case"widget-top":n=a.top,i=a.left,r=a.right,s=a.bottom+a.height/2;break;case"widget-left":n=a.top,i=a.left,r=a.right+a.width/2,s=a.bottom;break;case"widget-right":n=a.top,i=a.left+a.width/2,r=a.right,s=a.bottom;break;case"widget-bottom":n=a.top+a.height/2,i=a.left,r=a.right,s=a.bottom;break;case"widget-tab":{const e=a.tabBar.node.getBoundingClientRect().height;n=a.top,i=a.left,r=a.right,s=a.bottom+a.height-e;break}default:throw"unreachable"}return this.overlay.show({top:n,left:i,right:r,bottom:s}),o}_createTabBar(){let e=this._renderer.createTabBar(this._document);return Me.isGeneratedTabBarProperty.set(e,!0),"single-document"===this._mode&&e.hide(),e.tabsMovable=this._tabsMovable,e.allowDeselect=!1,e.addButtonEnabled=this._addButtonEnabled,e.removeBehavior="select-previous-tab",e.insertBehavior="select-tab-if-needed",e.tabMoved.connect(this._onTabMoved,this),e.currentChanged.connect(this._onCurrentChanged,this),e.tabCloseRequested.connect(this._onTabCloseRequested,this),e.tabDetachRequested.connect(this._onTabDetachRequested,this),e.tabActivateRequested.connect(this._onTabActivateRequested,this),e.addRequested.connect(this._onTabAddRequested,this),e}_createHandle(){return this._renderer.createHandle()}_onTabMoved(){f.postMessage(this,Me.LayoutModified)}_onCurrentChanged(e,t){let{previousTitle:n,currentTitle:i}=t;n&&n.owner.hide(),i&&i.owner.show(),(c.IS_EDGE||c.IS_IE)&&f.flush(),f.postMessage(this,Me.LayoutModified)}_onTabAddRequested(e){this._addRequested.emit(e)}_onTabActivateRequested(e,t){t.title.owner.activate()}_onTabCloseRequested(e,t){t.title.owner.close()}_onTabDetachRequested(e,t){if(this._drag)return;e.releaseMouse();let{title:n,tab:i,clientX:r,clientY:s,offset:o}=t,a=new m.MimeData;a.setData("application/vnd.lumino.widget-factory",(()=>n.owner));let l=i.cloneNode(!0);o&&(l.style.top=`-${o.y}px`,l.style.left=`-${o.x}px`),this._drag=new A({document:this._document,mimeData:a,dragImage:l,proposedAction:"move",supportedActions:"move",source:this}),i.classList.add("lm-mod-hidden"),this._drag.start(r,s).then((()=>{this._drag=null,i.classList.remove("lm-mod-hidden")}))}}!function(e){e.Overlay=class{constructor(){this._timer=-1,this._hidden=!0,this.node=document.createElement("div"),this.node.classList.add("lm-DockPanel-overlay"),this.node.classList.add("lm-mod-hidden"),this.node.style.position="absolute",this.node.style.contain="strict"}show(e){let t=this.node.style;t.top=`${e.top}px`,t.left=`${e.left}px`,t.right=`${e.right}px`,t.bottom=`${e.bottom}px`,clearTimeout(this._timer),this._timer=-1,this._hidden&&(this._hidden=!1,this.node.classList.remove("lm-mod-hidden"))}hide(e){if(!this._hidden)return e<=0?(clearTimeout(this._timer),this._timer=-1,this._hidden=!0,void this.node.classList.add("lm-mod-hidden")):void(-1===this._timer&&(this._timer=window.setTimeout((()=>{this._timer=-1,this._hidden=!0,this.node.classList.add("lm-mod-hidden")}),e)))}};class t{createTabBar(e){let t=new Ee({document:e});return t.addClass("lm-DockPanel-tabBar"),t}createHandle(){let e=document.createElement("div");return e.className="lm-DockPanel-handle",e}}e.Renderer=t,e.defaultRenderer=new t}(Le||(Le={})),function(e){e.GOLDEN_RATIO=.618,e.DEFAULT_EDGES={top:12,right:40,bottom:40,left:40},e.LayoutModified=new _("layout-modified"),e.isGeneratedTabBarProperty=new T.AttachedProperty({name:"isGeneratedTabBar",create:()=>!1}),e.createSingleDocumentConfig=function(e){if(e.isEmpty)return{main:null};let t=Array.from(e.widgets()),n=e.selectedWidgets().next().value,i=n?t.indexOf(n):-1;return{main:{type:"tab-area",widgets:t,currentIndex:i}}},e.findDropTarget=function(e,t,n,i){if(!u.hitTest(e.node,t,n))return{zone:"invalid",target:null};let r=e.layout;if(r.isEmpty)return{zone:"root-all",target:null};if("multiple-document"===e.mode){let r=e.node.getBoundingClientRect(),s=t-r.left+1,o=n-r.top+1,a=r.right-t,l=r.bottom-n;switch(Math.min(o,a,l,s)){case o:if(oh&&l>h&&a>p&&c>p)return{zone:"widget-all",target:s};switch(o/=h,a/=p,l/=h,c/=p,Math.min(o,a,l,c)){case o:d="widget-left";break;case a:d="widget-top";break;case l:d="widget-right";break;case c:d="widget-bottom";break;default:throw"unreachable"}return{zone:d,target:s}},e.getDropRef=function(e){return 0===e.titles.length?null:e.currentTitle?e.currentTitle.owner:e.titles[e.titles.length-1].owner}}(Me||(Me={}));class De{constructor(){this._counter=0,this._widgets=[],this._activeWidget=null,this._currentWidget=null,this._numbers=new Map,this._nodes=new Map,this._activeChanged=new O.Signal(this),this._currentChanged=new O.Signal(this)}dispose(){if(!(this._counter<0)){this._counter=-1,O.Signal.clearData(this);for(const e of this._widgets)e.node.removeEventListener("focus",this,!0),e.node.removeEventListener("blur",this,!0);this._activeWidget=null,this._currentWidget=null,this._nodes.clear(),this._numbers.clear(),this._widgets.length=0}}get currentChanged(){return this._currentChanged}get activeChanged(){return this._activeChanged}get isDisposed(){return this._counter<0}get currentWidget(){return this._currentWidget}get activeWidget(){return this._activeWidget}get widgets(){return this._widgets}focusNumber(e){let t=this._numbers.get(e);return void 0===t?-1:t}has(e){return this._numbers.has(e)}add(e){if(this._numbers.has(e))return;let t=e.node.contains(document.activeElement),n=t?this._counter++:-1;this._widgets.push(e),this._numbers.set(e,n),this._nodes.set(e.node,e),e.node.addEventListener("focus",this,!0),e.node.addEventListener("blur",this,!0),e.disposed.connect(this._onWidgetDisposed,this),t&&this._setWidgets(e,e)}remove(e){if(!this._numbers.has(e))return;if(e.disposed.disconnect(this._onWidgetDisposed,this),e.node.removeEventListener("focus",this,!0),e.node.removeEventListener("blur",this,!0),i.removeFirstOf(this._widgets,e),this._nodes.delete(e.node),this._numbers.delete(e),this._currentWidget!==e)return;let t=function(e,t){let n;for(const i of e)void 0!==n?t(i,n)>0&&(n=i):n=i;return n}(this._widgets.filter((e=>-1!==this._numbers.get(e))),((e,t)=>this._numbers.get(e)-this._numbers.get(t)))||null;this._setWidgets(t,null)}handleEvent(e){switch(e.type){case"focus":this._evtFocus(e);break;case"blur":this._evtBlur(e)}}_setWidgets(e,t){let n=this._currentWidget;this._currentWidget=e;let i=this._activeWidget;this._activeWidget=t,n!==e&&this._currentChanged.emit({oldValue:n,newValue:e}),i!==t&&this._activeChanged.emit({oldValue:i,newValue:t})}_evtFocus(e){let t=this._nodes.get(e.currentTarget);t!==this._currentWidget&&this._numbers.set(t,this._counter++),this._setWidgets(t,t)}_evtBlur(e){let t=this._nodes.get(e.currentTarget),n=e.relatedTarget;n&&(t.node.contains(n)||a(this._widgets,(e=>e.node.contains(n))))||this._setWidgets(this._currentWidget,null)}_onWidgetDisposed(e){this.remove(e)}}class Re extends Z{constructor(e={}){super(e),this._dirty=!1,this._rowSpacing=4,this._columnSpacing=4,this._items=[],this._rowStarts=[],this._columnStarts=[],this._rowSizers=[new X],this._columnSizers=[new X],this._box=null,void 0!==e.rowCount&&Te.reallocSizers(this._rowSizers,e.rowCount),void 0!==e.columnCount&&Te.reallocSizers(this._columnSizers,e.columnCount),void 0!==e.rowSpacing&&(this._rowSpacing=Te.clampValue(e.rowSpacing)),void 0!==e.columnSpacing&&(this._columnSpacing=Te.clampValue(e.columnSpacing))}dispose(){for(const e of this._items){let t=e.widget;e.dispose(),t.dispose()}this._box=null,this._items.length=0,this._rowStarts.length=0,this._rowSizers.length=0,this._columnStarts.length=0,this._columnSizers.length=0,super.dispose()}get rowCount(){return this._rowSizers.length}set rowCount(e){e!==this.rowCount&&(Te.reallocSizers(this._rowSizers,e),this.parent&&this.parent.fit())}get columnCount(){return this._columnSizers.length}set columnCount(e){e!==this.columnCount&&(Te.reallocSizers(this._columnSizers,e),this.parent&&this.parent.fit())}get rowSpacing(){return this._rowSpacing}set rowSpacing(e){e=Te.clampValue(e),this._rowSpacing!==e&&(this._rowSpacing=e,this.parent&&this.parent.fit())}get columnSpacing(){return this._columnSpacing}set columnSpacing(e){e=Te.clampValue(e),this._columnSpacing!==e&&(this._columnSpacing=e,this.parent&&this.parent.fit())}rowStretch(e){let t=this._rowSizers[e];return t?t.stretch:-1}setRowStretch(e,t){let n=this._rowSizers[e];n&&(t=Te.clampValue(t),n.stretch!==t&&(n.stretch=t,this.parent&&this.parent.update()))}columnStretch(e){let t=this._columnSizers[e];return t?t.stretch:-1}setColumnStretch(e,t){let n=this._columnSizers[e];n&&(t=Te.clampValue(t),n.stretch!==t&&(n.stretch=t,this.parent&&this.parent.update()))}*[Symbol.iterator](){for(const e of this._items)yield e.widget}addWidget(e){-1===i.findFirstIndex(this._items,(t=>t.widget===e))&&(this._items.push(new ee(e)),this.parent&&this.attachWidget(e))}removeWidget(e){let t=i.findFirstIndex(this._items,(t=>t.widget===e));if(-1===t)return;let n=i.removeAt(this._items,t);this.parent&&this.detachWidget(e),n.dispose()}init(){super.init();for(const e of this)this.attachWidget(e)}attachWidget(e){this.parent.isAttached&&f.sendMessage(e,Q.Msg.BeforeAttach),this.parent.node.appendChild(e.node),this.parent.isAttached&&f.sendMessage(e,Q.Msg.AfterAttach),this.parent.fit()}detachWidget(e){this.parent.isAttached&&f.sendMessage(e,Q.Msg.BeforeDetach),this.parent.node.removeChild(e.node),this.parent.isAttached&&f.sendMessage(e,Q.Msg.AfterDetach),this.parent.fit()}onBeforeShow(e){super.onBeforeShow(e),this.parent.update()}onBeforeAttach(e){super.onBeforeAttach(e),this.parent.fit()}onChildShown(e){this.parent.fit()}onChildHidden(e){this.parent.fit()}onResize(e){this.parent.isVisible&&this._update(e.width,e.height)}onUpdateRequest(e){this.parent.isVisible&&this._update(-1,-1)}onFitRequest(e){this.parent.isAttached&&this._fit()}_fit(){for(let e=0,t=this.rowCount;e!e.isHidden));for(let t=0,n=e.length;t({row:0,column:0,rowSpan:1,columnSpan:1}),changed:function(e){e.parent&&e.parent.layout instanceof Re&&e.parent.fit()}}),e.normalizeConfig=function(e){return{row:Math.max(0,Math.floor(e.row||0)),column:Math.max(0,Math.floor(e.column||0)),rowSpan:Math.max(1,Math.floor(e.rowSpan||0)),columnSpan:Math.max(1,Math.floor(e.columnSpan||0))}},e.clampValue=function(e){return Math.max(0,Math.floor(e))},e.rowSpanCmp=function(t,n){let i=e.cellConfigProperty.get(t.widget),r=e.cellConfigProperty.get(n.widget);return i.rowSpan-r.rowSpan},e.columnSpanCmp=function(t,n){let i=e.cellConfigProperty.get(t.widget),r=e.cellConfigProperty.get(n.widget);return i.columnSpan-r.columnSpan},e.reallocSizers=function(e,t){for(t=Math.max(1,Math.floor(t));e.lengtht&&(e.length=t)},e.distributeMin=function(e,t,n,i){if(n=i)return;let s=(i-r)/(n-t+1);for(let i=t;i<=n;++i)e[i].minSize+=s}}(Te||(Te={}));class je extends Q{constructor(e={}){super({node:Oe.createNode()}),this._activeIndex=-1,this._tabFocusIndex=0,this._menus=[],this._childMenu=null,this._overflowMenu=null,this._menuItemSizes=[],this._overflowIndex=-1,this.addClass("lm-MenuBar"),this.setFlag(Q.Flag.DisallowLayout),this.renderer=e.renderer||je.defaultRenderer,this._forceItemsPosition=e.forceItemsPosition||{forceX:!0,forceY:!0},this._overflowMenuOptions=e.overflowMenuOptions||{isVisible:!0}}dispose(){this._closeChildMenu(),this._menus.length=0,super.dispose()}get childMenu(){return this._childMenu}get overflowIndex(){return this._overflowIndex}get overflowMenu(){return this._overflowMenu}get contentNode(){return this.node.getElementsByClassName("lm-MenuBar-content")[0]}get activeMenu(){return this._menus[this._activeIndex]||null}set activeMenu(e){this.activeIndex=e?this._menus.indexOf(e):-1}get activeIndex(){return this._activeIndex}set activeIndex(e){(e<0||e>=this._menus.length)&&(e=-1),e>-1&&0===this._menus[e].items.length&&(e=-1),this._activeIndex!==e&&(this._activeIndex=e,this.update())}get menus(){return this._menus}openActiveMenu(){-1!==this._activeIndex&&(this._openChildMenu(),this._childMenu&&(this._childMenu.activeIndex=-1,this._childMenu.activateNextItem()))}addMenu(e,t=!0){this.insertMenu(this._menus.length,e,t)}insertMenu(e,t,n=!0){this._closeChildMenu();let r=this._menus.indexOf(t),s=Math.max(0,Math.min(e,this._menus.length));if(-1===r)return i.insert(this._menus,s,t),t.addClass("lm-MenuBar-menu"),t.aboutToClose.connect(this._onMenuAboutToClose,this),t.menuRequested.connect(this._onMenuMenuRequested,this),t.title.changed.connect(this._onTitleChanged,this),void(n&&this.update());s===this._menus.length&&s--,r!==s&&(i.move(this._menus,r,s),n&&this.update())}removeMenu(e,t=!0){this.removeMenuAt(this._menus.indexOf(e),t)}removeMenuAt(e,t=!0){this._closeChildMenu();let n=i.removeAt(this._menus,e);n&&(n.aboutToClose.disconnect(this._onMenuAboutToClose,this),n.menuRequested.disconnect(this._onMenuMenuRequested,this),n.title.changed.disconnect(this._onTitleChanged,this),n.removeClass("lm-MenuBar-menu"),t&&this.update())}clearMenus(){if(0!==this._menus.length){this._closeChildMenu();for(let e of this._menus)e.aboutToClose.disconnect(this._onMenuAboutToClose,this),e.menuRequested.disconnect(this._onMenuMenuRequested,this),e.title.changed.disconnect(this._onTitleChanged,this),e.removeClass("lm-MenuBar-menu");this._menus.length=0,this.update()}}handleEvent(e){switch(e.type){case"keydown":this._evtKeyDown(e);break;case"mousedown":this._evtMouseDown(e);break;case"mousemove":this._evtMouseMove(e);break;case"focusout":this._evtFocusOut(e);break;case"contextmenu":e.preventDefault(),e.stopPropagation()}}onBeforeAttach(e){this.node.addEventListener("keydown",this),this.node.addEventListener("mousedown",this),this.node.addEventListener("mousemove",this),this.node.addEventListener("focusout",this),this.node.addEventListener("contextmenu",this)}onAfterDetach(e){this.node.removeEventListener("keydown",this),this.node.removeEventListener("mousedown",this),this.node.removeEventListener("mousemove",this),this.node.removeEventListener("focusout",this),this.node.removeEventListener("contextmenu",this),this._closeChildMenu()}onActivateRequest(e){this.isAttached&&this._focusItemAt(0)}onResize(e){this.update(),super.onResize(e)}onUpdateRequest(e){var t;let n=this._menus,i=this.renderer,r=this._activeIndex,s=this._tabFocusIndex>=0&&this._tabFocusIndex-1?this._overflowIndex:n.length,a=0,l=!1;o=null!==this._overflowMenu?o-1:o;let u=new Array(o);for(let e=0;e{this._tabFocusIndex=e,this.activeIndex=e}}),a+=this._menuItemSizes[e],n[e].title.label===this._overflowMenuOptions.title&&(l=!0,o--);if(this._overflowMenuOptions.isVisible)if(this._overflowIndex>-1&&!l){if(null===this._overflowMenu){const e=null!==(t=this._overflowMenuOptions.title)&&void 0!==t?t:"...";this._overflowMenu=new we({commands:new W}),this._overflowMenu.title.label=e,this._overflowMenu.title.mnemonic=0,this.addMenu(this._overflowMenu,!1)}for(let e=n.length-2;e>=o;e--){const t=this.menus[e];t.title.mnemonic=0,this._overflowMenu.insertItem(0,{type:"submenu",submenu:t}),this.removeMenu(t,!1)}u[o]=i.renderItem({title:this._overflowMenu.title,active:o===r&&0!==n[o].items.length,tabbable:o===s,disabled:0===n[o].items.length,onfocus:()=>{this._tabFocusIndex=o,this.activeIndex=o}}),o++}else if(null!==this._overflowMenu){let e=this._overflowMenu.items,t=this.node.offsetWidth,r=this._overflowMenu.items.length;for(let l=0;lthis._menuItemSizes[r]){let t=e[0].submenu;this._overflowMenu.removeItemAt(0),this.insertMenu(o,t,!1),u[o]=i.renderItem({title:t.title,active:!1,tabbable:o===s,disabled:0===n[o].items.length,onfocus:()=>{this._tabFocusIndex=o,this.activeIndex=o}}),o++}}0===this._overflowMenu.items.length&&(this.removeMenu(this._overflowMenu,!1),u.pop(),this._overflowMenu=null,this._overflowIndex=-1)}F.render(u,this.contentNode),this._updateOverflowIndex()}_updateOverflowIndex(){if(!this._overflowMenuOptions.isVisible)return;const e=this.contentNode.childNodes;let t=this.node.offsetWidth,n=0,i=-1,r=e.length;if(0==this._menuItemSizes.length)for(let s=0;st&&-1===i&&(i=s)}else for(let e=0;et){i=e;break}this._overflowIndex=i}_evtKeyDown(e){let t=e.keyCode;if(9===t)return void(this.activeIndex=-1);if(e.preventDefault(),e.stopPropagation(),13===t||32===t||38===t||40===t){if(this.activeIndex=this._tabFocusIndex,this.activeIndex!==this._tabFocusIndex)return;return void this.openActiveMenu()}if(27===t)return this._closeChildMenu(),void this._focusItemAt(this.activeIndex);if(37===t||39===t){let e=37===t?-1:1,n=this._tabFocusIndex+e,i=this._menus.length;for(let t=0;tu.hitTest(t,e.clientX,e.clientY)));if(-1!==t){if(0===e.button)if(this._childMenu)this._closeChildMenu(),this.activeIndex=t;else{e.preventDefault();const n=this._positionForMenu(t);we.saveWindowData(),this.activeIndex=t,this._openChildMenu(n)}}else this._closeChildMenu()}_evtMouseMove(e){let t=i.findFirstIndex(this.contentNode.children,(t=>u.hitTest(t,e.clientX,e.clientY)));if(t===this._activeIndex)return;if(-1===t&&this._childMenu)return;const n=t>=0&&this._childMenu?this._positionForMenu(t):null;we.saveWindowData(),this.activeIndex=t,n&&this._openChildMenu(n)}_positionForMenu(e){let t=this.contentNode.children[e],{left:n,bottom:i}=t.getBoundingClientRect();return{top:i,left:n}}_evtFocusOut(e){this._childMenu||this.node.contains(e.relatedTarget)||(this.activeIndex=-1)}_focusItemAt(e){const t=this.contentNode.childNodes[e];t&&t.focus()}_openChildMenu(e={}){let t=this.activeMenu;if(!t)return void this._closeChildMenu();let n=this._childMenu;if(n===t)return;this._childMenu=t,n?n.close():document.addEventListener("mousedown",this,!0),this._tabFocusIndex=this.activeIndex,f.sendMessage(this,Q.Msg.UpdateRequest);let{left:i,top:r}=e;void 0!==i&&void 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Uint16Array('ᵁ<Õıʊҝջאٵ۞ޢߖࠏ੊ઑඡ๭༉༦჊ረዡᐕᒝᓃᓟᔥ\0\0\0\0\0\0ᕫᛍᦍᰒᷝ὾⁠↰⊍⏀⏻⑂⠤⤒ⴈ⹈⿎〖㊺㘹㞬㣾㨨㩱㫠㬮ࠀEMabcfglmnoprstu\\bfms„‹•˜¦³¹ÈÏlig耻Æ䃆P耻&䀦cute耻Á䃁reve;䄂Āiyx}rc耻Â䃂;䐐r;쀀𝔄rave耻À䃀pha;䎑acr;䄀d;橓Āgp¡on;䄄f;쀀𝔸plyFunction;恡ing耻Å䃅Ācs¾Ãr;쀀𝒜ign;扔ilde耻Ã䃃ml耻Ä䃄ЀaceforsuåûþėĜĢħĪĀcrêòkslash;或Ŷöø;櫧ed;挆y;䐑ƀcrtąċĔause;戵noullis;愬a;䎒r;쀀𝔅pf;쀀𝔹eve;䋘còēmpeq;扎܀HOacdefhilorsuōőŖƀƞƢƵƷƺǜȕɳɸɾcy;䐧PY耻©䂩ƀcpyŝŢźute;䄆Ā;iŧŨ拒talDifferentialD;慅leys;愭ȀaeioƉƎƔƘron;䄌dil耻Ç䃇rc;䄈nint;戰ot;䄊ĀdnƧƭilla;䂸terDot;䂷òſi;䎧rcleȀDMPTLJNjǑǖot;抙inus;抖lus;投imes;抗oĀcsǢǸkwiseContourIntegral;戲eCurlyĀDQȃȏoubleQuote;思uote;怙ȀlnpuȞȨɇɕonĀ;eȥȦ户;橴ƀgitȯȶȺruent;扡nt;戯ourIntegral;戮ĀfrɌɎ;愂oduct;成nterClockwiseContourIntegral;戳oss;樯cr;쀀𝒞pĀ;Cʄʅ拓ap;才րDJSZacefiosʠʬʰʴʸˋ˗ˡ˦̳ҍĀ;oŹʥtrahd;椑cy;䐂cy;䐅cy;䐏ƀgrsʿ˄ˇger;怡r;憡hv;櫤Āayː˕ron;䄎;䐔lĀ;t˝˞戇a;䎔r;쀀𝔇Āaf˫̧Ācm˰̢riticalȀADGT̖̜̀̆cute;䂴oŴ̋̍;䋙bleAcute;䋝rave;䁠ilde;䋜ond;拄ferentialD;慆Ѱ̽\0\0\0͔͂\0Ѕf;쀀𝔻ƀ;DE͈͉͍䂨ot;惜qual;扐blèCDLRUVͣͲ΂ϏϢϸontourIntegraìȹoɴ͹\0\0ͻ»͉nArrow;懓Āeo·ΤftƀARTΐΖΡrrow;懐ightArrow;懔eåˊngĀLRΫτeftĀARγιrrow;柸ightArrow;柺ightArrow;柹ightĀATϘϞrrow;懒ee;抨pɁϩ\0\0ϯrrow;懑ownArrow;懕erticalBar;戥ǹABLRTaВЪаўѿͼrrowƀ;BUНОТ憓ar;椓pArrow;懵reve;䌑eft˒к\0ц\0ѐightVector;楐eeVector;楞ectorĀ;Bљњ憽ar;楖ightǔѧ\0ѱeeVector;楟ectorĀ;BѺѻ懁ar;楗eeĀ;A҆҇护rrow;憧ĀctҒҗr;쀀𝒟rok;䄐ࠀNTacdfglmopqstuxҽӀӄӋӞӢӧӮӵԡԯԶՒ՝ՠեG;䅊H耻Ð䃐cute耻É䃉ƀaiyӒӗӜron;䄚rc耻Ê䃊;䐭ot;䄖r;쀀𝔈rave耻È䃈ement;戈ĀapӺӾcr;䄒tyɓԆ\0\0ԒmallSquare;旻erySmallSquare;斫ĀgpԦԪon;䄘f;쀀𝔼silon;䎕uĀaiԼՉlĀ;TՂՃ橵ilde;扂librium;懌Āci՗՚r;愰m;橳a;䎗ml耻Ë䃋Āipժկsts;戃onentialE;慇ʀcfiosօֈ֍ֲ׌y;䐤r;쀀𝔉lledɓ֗\0\0֣mallSquare;旼erySmallSquare;斪Ͱֺ\0ֿ\0\0ׄf;쀀𝔽All;戀riertrf;愱cò׋؀JTabcdfgorstר׬ׯ׺؀ؒؖ؛؝أ٬ٲcy;䐃耻>䀾mmaĀ;d׷׸䎓;䏜reve;䄞ƀeiy؇،ؐdil;䄢rc;䄜;䐓ot;䄠r;쀀𝔊;拙pf;쀀𝔾eater̀EFGLSTصلَٖٛ٦qualĀ;Lؾؿ扥ess;招ullEqual;执reater;檢ess;扷lantEqual;橾ilde;扳cr;쀀𝒢;扫ЀAacfiosuڅڋږڛڞڪھۊRDcy;䐪Āctڐڔek;䋇;䁞irc;䄤r;愌lbertSpace;愋ǰگ\0ڲf;愍izontalLine;攀Āctۃۅòکrok;䄦mpńېۘownHumðįqual;扏܀EJOacdfgmnostuۺ۾܃܇܎ܚܞܡܨ݄ݸދޏޕcy;䐕lig;䄲cy;䐁cute耻Í䃍Āiyܓܘrc耻Î䃎;䐘ot;䄰r;愑rave耻Ì䃌ƀ;apܠܯܿĀcgܴܷr;䄪inaryI;慈lieóϝǴ݉\0ݢĀ;eݍݎ戬Āgrݓݘral;戫section;拂isibleĀCTݬݲomma;恣imes;恢ƀgptݿރވon;䄮f;쀀𝕀a;䎙cr;愐ilde;䄨ǫޚ\0ޞcy;䐆l耻Ï䃏ʀcfosuެ޷޼߂ߐĀiyޱ޵rc;䄴;䐙r;쀀𝔍pf;쀀𝕁ǣ߇\0ߌr;쀀𝒥rcy;䐈kcy;䐄΀HJacfosߤߨ߽߬߱ࠂࠈcy;䐥cy;䐌ppa;䎚Āey߶߻dil;䄶;䐚r;쀀𝔎pf;쀀𝕂cr;쀀𝒦րJTaceflmostࠥࠩࠬࡐࡣ঳সে্਷ੇcy;䐉耻<䀼ʀcmnpr࠷࠼ࡁࡄࡍute;䄹bda;䎛g;柪lacetrf;愒r;憞ƀaeyࡗ࡜ࡡron;䄽dil;䄻;䐛Āfsࡨ॰tԀACDFRTUVarࡾࢩࢱࣦ࣠ࣼयज़ΐ४Ānrࢃ࢏gleBracket;柨rowƀ;BR࢙࢚࢞憐ar;懤ightArrow;懆eiling;挈oǵࢷ\0ࣃbleBracket;柦nǔࣈ\0࣒eeVector;楡ectorĀ;Bࣛࣜ懃ar;楙loor;挊ightĀAV࣯ࣵrrow;憔ector;楎Āerँगeƀ;AVउऊऐ抣rrow;憤ector;楚iangleƀ;BEतथऩ抲ar;槏qual;抴pƀDTVषूौownVector;楑eeVector;楠ectorĀ;Bॖॗ憿ar;楘ectorĀ;B॥०憼ar;楒ightáΜs̀EFGLSTॾঋকঝঢভqualGreater;拚ullEqual;扦reater;扶ess;檡lantEqual;橽ilde;扲r;쀀𝔏Ā;eঽা拘ftarrow;懚idot;䄿ƀnpw৔ਖਛgȀLRlr৞৷ਂਐeftĀAR০৬rrow;柵ightArrow;柷ightArrow;柶eftĀarγਊightáοightáϊf;쀀𝕃erĀLRਢਬeftArrow;憙ightArrow;憘ƀchtਾੀੂòࡌ;憰rok;䅁;扪Ѐacefiosuਗ਼੝੠੷੼અઋ઎p;椅y;䐜Ādl੥੯iumSpace;恟lintrf;愳r;쀀𝔐nusPlus;戓pf;쀀𝕄cò੶;䎜ҀJacefostuણધભીଔଙඑ඗ඞcy;䐊cute;䅃ƀaey઴હાron;䅇dil;䅅;䐝ƀgswે૰଎ativeƀMTV૓૟૨ediumSpace;怋hiĀcn૦૘ë૙eryThiî૙tedĀGL૸ଆreaterGreateòٳessLesóੈLine;䀊r;쀀𝔑ȀBnptଢନଷ଺reak;恠BreakingSpace;䂠f;愕ڀ;CDEGHLNPRSTV୕ୖ୪୼஡௫ఄ౞಄ದ೘ൡඅ櫬Āou୛୤ngruent;扢pCap;扭oubleVerticalBar;戦ƀlqxஃஊ஛ement;戉ualĀ;Tஒஓ扠ilde;쀀≂̸ists;戄reater΀;EFGLSTஶஷ஽௉௓௘௥扯qual;扱ullEqual;쀀≧̸reater;쀀≫̸ess;批lantEqual;쀀⩾̸ilde;扵umpń௲௽ownHump;쀀≎̸qual;쀀≏̸eĀfsఊధtTriangleƀ;BEచఛడ拪ar;쀀⧏̸qual;括s̀;EGLSTవశ఼ౄోౘ扮qual;扰reater;扸ess;쀀≪̸lantEqual;쀀⩽̸ilde;扴estedĀGL౨౹reaterGreater;쀀⪢̸essLess;쀀⪡̸recedesƀ;ESಒಓಛ技qual;쀀⪯̸lantEqual;拠ĀeiಫಹverseElement;戌ghtTriangleƀ;BEೋೌ೒拫ar;쀀⧐̸qual;拭ĀquೝഌuareSuĀbp೨೹setĀ;E೰ೳ쀀⊏̸qual;拢ersetĀ;Eഃആ쀀⊐̸qual;拣ƀbcpഓതൎsetĀ;Eഛഞ쀀⊂⃒qual;抈ceedsȀ;ESTലള഻െ抁qual;쀀⪰̸lantEqual;拡ilde;쀀≿̸ersetĀ;E൘൛쀀⊃⃒qual;抉ildeȀ;EFT൮൯൵ൿ扁qual;扄ullEqual;扇ilde;扉erticalBar;戤cr;쀀𝒩ilde耻Ñ䃑;䎝܀Eacdfgmoprstuvලෂ෉෕ෛ෠෧෼ขภยา฿ไlig;䅒cute耻Ó䃓Āiy෎ීrc耻Ô䃔;䐞blac;䅐r;쀀𝔒rave耻Ò䃒ƀaei෮ෲ෶cr;䅌ga;䎩cron;䎟pf;쀀𝕆enCurlyĀDQฎบoubleQuote;怜uote;怘;橔Āclวฬr;쀀𝒪ash耻Ø䃘iŬื฼de耻Õ䃕es;樷ml耻Ö䃖erĀBP๋๠Āar๐๓r;怾acĀek๚๜;揞et;掴arenthesis;揜Ҁacfhilors๿ງຊຏຒດຝະ໼rtialD;戂y;䐟r;쀀𝔓i;䎦;䎠usMinus;䂱Āipຢອncareplanåڝf;愙Ȁ;eio຺ູ໠໤檻cedesȀ;EST່້໏໚扺qual;檯lantEqual;扼ilde;找me;怳Ādp໩໮uct;戏ortionĀ;aȥ໹l;戝Āci༁༆r;쀀𝒫;䎨ȀUfos༑༖༛༟OT耻"䀢r;쀀𝔔pf;愚cr;쀀𝒬؀BEacefhiorsu༾གྷཇའཱིྦྷྪྭ႖ႩႴႾarr;椐G耻®䂮ƀcnrཎནབute;䅔g;柫rĀ;tཛྷཝ憠l;椖ƀaeyཧཬཱron;䅘dil;䅖;䐠Ā;vླྀཹ愜erseĀEUྂྙĀlq྇ྎement;戋uilibrium;懋pEquilibrium;楯r»ཹo;䎡ghtЀACDFTUVa࿁࿫࿳ဢဨၛႇϘĀnr࿆࿒gleBracket;柩rowƀ;BL࿜࿝࿡憒ar;懥eftArrow;懄eiling;按oǵ࿹\0စbleBracket;柧nǔည\0နeeVector;楝ectorĀ;Bဝသ懂ar;楕loor;挋Āerိ၃eƀ;AVဵံြ抢rrow;憦ector;楛iangleƀ;BEၐၑၕ抳ar;槐qual;抵pƀDTVၣၮၸownVector;楏eeVector;楜ectorĀ;Bႂႃ憾ar;楔ectorĀ;B႑႒懀ar;楓Āpuႛ႞f;愝ndImplies;楰ightarrow;懛ĀchႹႼr;愛;憱leDelayed;槴ڀHOacfhimoqstuფჱჷჽᄙᄞᅑᅖᅡᅧᆵᆻᆿĀCcჩხHcy;䐩y;䐨FTcy;䐬cute;䅚ʀ;aeiyᄈᄉᄎᄓᄗ檼ron;䅠dil;䅞rc;䅜;䐡r;쀀𝔖ortȀDLRUᄪᄴᄾᅉownArrow»ОeftArrow»࢚ightArrow»࿝pArrow;憑gma;䎣allCircle;战pf;쀀𝕊ɲᅭ\0\0ᅰt;戚areȀ;ISUᅻᅼᆉᆯ斡ntersection;抓uĀbpᆏᆞsetĀ;Eᆗᆘ抏qual;抑ersetĀ;Eᆨᆩ抐qual;抒nion;抔cr;쀀𝒮ar;拆ȀbcmpᇈᇛሉላĀ;sᇍᇎ拐etĀ;Eᇍᇕqual;抆ĀchᇠህeedsȀ;ESTᇭᇮᇴᇿ扻qual;檰lantEqual;扽ilde;承Tháྌ;我ƀ;esሒሓሣ拑rsetĀ;Eሜም抃qual;抇et»ሓրHRSacfhiorsሾቄ቉ቕ቞ቱቶኟዂወዑORN耻Þ䃞ADE;愢ĀHc቎ቒcy;䐋y;䐦Ābuቚቜ;䀉;䎤ƀaeyብቪቯron;䅤dil;䅢;䐢r;쀀𝔗Āeiቻ኉Dzኀ\0ኇefore;戴a;䎘Ācn኎ኘkSpace;쀀  Space;怉ldeȀ;EFTካኬኲኼ戼qual;扃ullEqual;扅ilde;扈pf;쀀𝕋ipleDot;惛Āctዖዛr;쀀𝒯rok;䅦ૡዷጎጚጦ\0ጬጱ\0\0\0\0\0ጸጽ፷ᎅ\0᏿ᐄᐊᐐĀcrዻጁute耻Ú䃚rĀ;oጇገ憟cir;楉rǣጓ\0጖y;䐎ve;䅬Āiyጞጣrc耻Û䃛;䐣blac;䅰r;쀀𝔘rave耻Ù䃙acr;䅪Ādiፁ፩erĀBPፈ፝Āarፍፐr;䁟acĀekፗፙ;揟et;掵arenthesis;揝onĀ;P፰፱拃lus;抎Āgp፻፿on;䅲f;쀀𝕌ЀADETadps᎕ᎮᎸᏄϨᏒᏗᏳrrowƀ;BDᅐᎠᎤar;椒ownArrow;懅ownArrow;憕quilibrium;楮eeĀ;AᏋᏌ报rrow;憥ownáϳerĀLRᏞᏨeftArrow;憖ightArrow;憗iĀ;lᏹᏺ䏒on;䎥ing;䅮cr;쀀𝒰ilde;䅨ml耻Ü䃜ҀDbcdefosvᐧᐬᐰᐳᐾᒅᒊᒐᒖash;披ar;櫫y;䐒ashĀ;lᐻᐼ抩;櫦Āerᑃᑅ;拁ƀbtyᑌᑐᑺar;怖Ā;iᑏᑕcalȀBLSTᑡᑥᑪᑴar;戣ine;䁼eparator;杘ilde;所ThinSpace;怊r;쀀𝔙pf;쀀𝕍cr;쀀𝒱dash;抪ʀcefosᒧᒬᒱᒶᒼirc;䅴dge;拀r;쀀𝔚pf;쀀𝕎cr;쀀𝒲Ȁfiosᓋᓐᓒᓘr;쀀𝔛;䎞pf;쀀𝕏cr;쀀𝒳ҀAIUacfosuᓱᓵᓹᓽᔄᔏᔔᔚᔠcy;䐯cy;䐇cy;䐮cute耻Ý䃝Āiyᔉᔍrc;䅶;䐫r;쀀𝔜pf;쀀𝕐cr;쀀𝒴ml;䅸ЀHacdefosᔵᔹᔿᕋᕏᕝᕠᕤcy;䐖cute;䅹Āayᕄᕉron;䅽;䐗ot;䅻Dzᕔ\0ᕛoWidtè૙a;䎖r;愨pf;愤cr;쀀𝒵௡ᖃᖊᖐ\0ᖰᖶᖿ\0\0\0\0ᗆᗛᗫᙟ᙭\0ᚕ᚛ᚲᚹ\0ᚾcute耻á䃡reve;䄃̀;Ediuyᖜᖝᖡᖣᖨᖭ戾;쀀∾̳;房rc耻â䃢te肻´̆;䐰lig耻æ䃦Ā;r²ᖺ;쀀𝔞rave耻à䃠ĀepᗊᗖĀfpᗏᗔsym;愵èᗓha;䎱ĀapᗟcĀclᗤᗧr;䄁g;樿ɤᗰ\0\0ᘊʀ;adsvᗺᗻᗿᘁᘇ戧nd;橕;橜lope;橘;橚΀;elmrszᘘᘙᘛᘞᘿᙏᙙ戠;榤e»ᘙsdĀ;aᘥᘦ戡ѡᘰᘲᘴᘶᘸᘺᘼᘾ;榨;榩;榪;榫;榬;榭;榮;榯tĀ;vᙅᙆ戟bĀ;dᙌᙍ抾;榝Āptᙔᙗh;戢»¹arr;捼Āgpᙣᙧon;䄅f;쀀𝕒΀;Eaeiop዁ᙻᙽᚂᚄᚇᚊ;橰cir;橯;扊d;手s;䀧roxĀ;e዁ᚒñᚃing耻å䃥ƀctyᚡᚦᚨr;쀀𝒶;䀪mpĀ;e዁ᚯñʈilde耻ã䃣ml耻ä䃤Āciᛂᛈoninôɲnt;樑ࠀNabcdefiklnoprsu᛭ᛱᜰ᜼ᝃᝈ᝸᝽០៦ᠹᡐᜍ᤽᥈ᥰot;櫭Ācrᛶ᜞kȀcepsᜀᜅᜍᜓong;扌psilon;䏶rime;怵imĀ;e᜚᜛戽q;拍Ŷᜢᜦee;抽edĀ;gᜬᜭ挅e»ᜭrkĀ;t፜᜷brk;掶Āoyᜁᝁ;䐱quo;怞ʀcmprtᝓ᝛ᝡᝤᝨausĀ;eĊĉptyv;榰séᜌnoõēƀahwᝯ᝱ᝳ;䎲;愶een;扬r;쀀𝔟g΀costuvwឍឝឳេ៕៛៞ƀaiuបពរðݠrc;旯p»፱ƀdptឤឨឭot;樀lus;樁imes;樂ɱឹ\0\0ើcup;樆ar;昅riangleĀdu៍្own;施p;斳plus;樄eåᑄåᒭarow;植ƀako៭ᠦᠵĀcn៲ᠣkƀlst៺֫᠂ozenge;槫riangleȀ;dlr᠒᠓᠘᠝斴own;斾eft;旂ight;斸k;搣Ʊᠫ\0ᠳƲᠯ\0ᠱ;斒;斑4;斓ck;斈ĀeoᠾᡍĀ;qᡃᡆ쀀=⃥uiv;쀀≡⃥t;挐Ȁptwxᡙᡞᡧᡬf;쀀𝕓Ā;tᏋᡣom»Ꮜtie;拈؀DHUVbdhmptuvᢅᢖᢪᢻᣗᣛᣬ᣿ᤅᤊᤐᤡȀLRlrᢎᢐᢒᢔ;敗;敔;敖;敓ʀ;DUduᢡᢢᢤᢦᢨ敐;敦;敩;敤;敧ȀLRlrᢳᢵᢷᢹ;敝;敚;敜;教΀;HLRhlrᣊᣋᣍᣏᣑᣓᣕ救;敬;散;敠;敫;敢;敟ox;槉ȀLRlrᣤᣦᣨᣪ;敕;敒;攐;攌ʀ;DUduڽ᣷᣹᣻᣽;敥;敨;攬;攴inus;抟lus;択imes;抠ȀLRlrᤙᤛᤝ᤟;敛;敘;攘;攔΀;HLRhlrᤰᤱᤳᤵᤷ᤻᤹攂;敪;敡;敞;攼;攤;攜Āevģ᥂bar耻¦䂦Ȁceioᥑᥖᥚᥠr;쀀𝒷mi;恏mĀ;e᜚᜜lƀ;bhᥨᥩᥫ䁜;槅sub;柈Ŭᥴ᥾lĀ;e᥹᥺怢t»᥺pƀ;Eeįᦅᦇ;檮Ā;qۜۛೡᦧ\0᧨ᨑᨕᨲ\0ᨷᩐ\0\0᪴\0\0᫁\0\0ᬡᬮ᭍᭒\0᯽\0ᰌƀcpr᦭ᦲ᧝ute;䄇̀;abcdsᦿᧀᧄ᧊᧕᧙戩nd;橄rcup;橉Āau᧏᧒p;橋p;橇ot;橀;쀀∩︀Āeo᧢᧥t;恁îړȀaeiu᧰᧻ᨁᨅǰ᧵\0᧸s;橍on;䄍dil耻ç䃧rc;䄉psĀ;sᨌᨍ橌m;橐ot;䄋ƀdmnᨛᨠᨦil肻¸ƭptyv;榲t脀¢;eᨭᨮ䂢räƲr;쀀𝔠ƀceiᨽᩀᩍy;䑇ckĀ;mᩇᩈ朓ark»ᩈ;䏇r΀;Ecefms᩟᩠ᩢᩫ᪤᪪᪮旋;槃ƀ;elᩩᩪᩭ䋆q;扗eɡᩴ\0\0᪈rrowĀlr᩼᪁eft;憺ight;憻ʀRSacd᪒᪔᪖᪚᪟»ཇ;擈st;抛irc;抚ash;抝nint;樐id;櫯cir;槂ubsĀ;u᪻᪼晣it»᪼ˬ᫇᫔᫺\0ᬊonĀ;eᫍᫎ䀺Ā;qÇÆɭ᫙\0\0᫢aĀ;t᫞᫟䀬;䁀ƀ;fl᫨᫩᫫戁îᅠeĀmx᫱᫶ent»᫩eóɍǧ᫾\0ᬇĀ;dኻᬂot;橭nôɆƀfryᬐᬔᬗ;쀀𝕔oäɔ脀©;sŕᬝr;愗Āaoᬥᬩrr;憵ss;朗Ācuᬲᬷr;쀀𝒸Ābpᬼ᭄Ā;eᭁᭂ櫏;櫑Ā;eᭉᭊ櫐;櫒dot;拯΀delprvw᭠᭬᭷ᮂᮬᯔ᯹arrĀlr᭨᭪;椸;椵ɰ᭲\0\0᭵r;拞c;拟arrĀ;p᭿ᮀ憶;椽̀;bcdosᮏᮐᮖᮡᮥᮨ截rcap;橈Āauᮛᮞp;橆p;橊ot;抍r;橅;쀀∪︀Ȁalrv᮵ᮿᯞᯣrrĀ;mᮼᮽ憷;椼yƀevwᯇᯔᯘqɰᯎ\0\0ᯒreã᭳uã᭵ee;拎edge;拏en耻¤䂤earrowĀlrᯮ᯳eft»ᮀight»ᮽeäᯝĀciᰁᰇoninôǷnt;戱lcty;挭ঀAHabcdefhijlorstuwz᰸᰻᰿ᱝᱩᱵᲊᲞᲬᲷ᳻᳿ᴍᵻᶑᶫᶻ᷆᷍rò΁ar;楥Ȁglrs᱈ᱍ᱒᱔ger;怠eth;愸òᄳhĀ;vᱚᱛ怐»ऊūᱡᱧarow;椏aã̕Āayᱮᱳron;䄏;䐴ƀ;ao̲ᱼᲄĀgrʿᲁr;懊tseq;橷ƀglmᲑᲔᲘ耻°䂰ta;䎴ptyv;榱ĀirᲣᲨsht;楿;쀀𝔡arĀlrᲳᲵ»ࣜ»သʀaegsv᳂͸᳖᳜᳠mƀ;oș᳊᳔ndĀ;ș᳑uit;晦amma;䏝in;拲ƀ;io᳧᳨᳸䃷de脀÷;o᳧ᳰntimes;拇nø᳷cy;䑒cɯᴆ\0\0ᴊrn;挞op;挍ʀlptuwᴘᴝᴢᵉᵕlar;䀤f;쀀𝕕ʀ;emps̋ᴭᴷᴽᵂqĀ;d͒ᴳot;扑inus;戸lus;戔quare;抡blebarwedgåúnƀadhᄮᵝᵧownarrowóᲃarpoonĀlrᵲᵶefôᲴighôᲶŢᵿᶅkaro÷གɯᶊ\0\0ᶎrn;挟op;挌ƀcotᶘᶣᶦĀryᶝᶡ;쀀𝒹;䑕l;槶rok;䄑Ādrᶰᶴot;拱iĀ;fᶺ᠖斿Āah᷀᷃ròЩaòྦangle;榦Āci᷒ᷕy;䑟grarr;柿ऀDacdefglmnopqrstuxḁḉḙḸոḼṉṡṾấắẽỡἪἷὄ὎὚ĀDoḆᴴoôᲉĀcsḎḔute耻é䃩ter;橮ȀaioyḢḧḱḶron;䄛rĀ;cḭḮ扖耻ê䃪lon;払;䑍ot;䄗ĀDrṁṅot;扒;쀀𝔢ƀ;rsṐṑṗ檚ave耻è䃨Ā;dṜṝ檖ot;檘Ȁ;ilsṪṫṲṴ檙nters;揧;愓Ā;dṹṺ檕ot;檗ƀapsẅẉẗcr;䄓tyƀ;svẒẓẕ戅et»ẓpĀ1;ẝẤijạả;怄;怅怃ĀgsẪẬ;䅋p;怂ĀgpẴẸon;䄙f;쀀𝕖ƀalsỄỎỒrĀ;sỊị拕l;槣us;橱iƀ;lvỚớở䎵on»ớ;䏵ȀcsuvỪỳἋἣĀioữḱrc»Ḯɩỹ\0\0ỻíՈantĀglἂἆtr»ṝess»Ṻƀaeiἒ἖Ἒls;䀽st;扟vĀ;DȵἠD;橸parsl;槥ĀDaἯἳot;打rr;楱ƀcdiἾὁỸr;愯oô͒ĀahὉὋ;䎷耻ð䃰Āmrὓὗl耻ë䃫o;悬ƀcipὡὤὧl;䀡sôծĀeoὬὴctatioîՙnentialåչৡᾒ\0ᾞ\0ᾡᾧ\0\0ῆῌ\0ΐ\0ῦῪ \0 ⁚llingdotseñṄy;䑄male;晀ƀilrᾭᾳ῁lig;耀ffiɩᾹ\0\0᾽g;耀ffig;耀ffl;쀀𝔣lig;耀filig;쀀fjƀaltῙ῜ῡt;晭ig;耀flns;斱of;䆒ǰ΅\0ῳf;쀀𝕗ĀakֿῷĀ;vῼ´拔;櫙artint;樍Āao‌⁕Ācs‑⁒ႉ‸⁅⁈\0⁐β•‥‧‪‬\0‮耻½䂽;慓耻¼䂼;慕;慙;慛Ƴ‴\0‶;慔;慖ʴ‾⁁\0\0⁃耻¾䂾;慗;慜5;慘ƶ⁌\0⁎;慚;慝8;慞l;恄wn;挢cr;쀀𝒻ࢀEabcdefgijlnorstv₂₉₟₥₰₴⃰⃵⃺⃿℃ℒℸ̗ℾ⅒↞Ā;lٍ₇;檌ƀcmpₐₕ₝ute;䇵maĀ;dₜ᳚䎳;檆reve;䄟Āiy₪₮rc;䄝;䐳ot;䄡Ȁ;lqsؾق₽⃉ƀ;qsؾٌ⃄lanô٥Ȁ;cdl٥⃒⃥⃕c;檩otĀ;o⃜⃝檀Ā;l⃢⃣檂;檄Ā;e⃪⃭쀀⋛︀s;檔r;쀀𝔤Ā;gٳ؛mel;愷cy;䑓Ȁ;Eajٚℌℎℐ;檒;檥;檤ȀEaesℛℝ℩ℴ;扩pĀ;p℣ℤ檊rox»ℤĀ;q℮ℯ檈Ā;q℮ℛim;拧pf;쀀𝕘Āci⅃ⅆr;愊mƀ;el٫ⅎ⅐;檎;檐茀>;cdlqr׮ⅠⅪⅮⅳⅹĀciⅥⅧ;檧r;橺ot;拗Par;榕uest;橼ʀadelsↄⅪ←ٖ↛ǰ↉\0↎proø₞r;楸qĀlqؿ↖lesó₈ií٫Āen↣↭rtneqq;쀀≩︀Å↪ԀAabcefkosy⇄⇇⇱⇵⇺∘∝∯≨≽ròΠȀilmr⇐⇔⇗⇛rsðᒄf»․ilôکĀdr⇠⇤cy;䑊ƀ;cwࣴ⇫⇯ir;楈;憭ar;意irc;䄥ƀalr∁∎∓rtsĀ;u∉∊晥it»∊lip;怦con;抹r;쀀𝔥sĀew∣∩arow;椥arow;椦ʀamopr∺∾≃≞≣rr;懿tht;戻kĀlr≉≓eftarrow;憩ightarrow;憪f;쀀𝕙bar;怕ƀclt≯≴≸r;쀀𝒽asè⇴rok;䄧Ābp⊂⊇ull;恃hen»ᱛૡ⊣\0⊪\0⊸⋅⋎\0⋕⋳\0\0⋸⌢⍧⍢⍿\0⎆⎪⎴cute耻í䃭ƀ;iyݱ⊰⊵rc耻î䃮;䐸Ācx⊼⊿y;䐵cl耻¡䂡ĀfrΟ⋉;쀀𝔦rave耻ì䃬Ȁ;inoܾ⋝⋩⋮Āin⋢⋦nt;樌t;戭fin;槜ta;愩lig;䄳ƀaop⋾⌚⌝ƀcgt⌅⌈⌗r;䄫ƀelpܟ⌏⌓inåގarôܠh;䄱f;抷ed;䆵ʀ;cfotӴ⌬⌱⌽⍁are;愅inĀ;t⌸⌹戞ie;槝doô⌙ʀ;celpݗ⍌⍐⍛⍡al;抺Āgr⍕⍙eróᕣã⍍arhk;樗rod;樼Ȁcgpt⍯⍲⍶⍻y;䑑on;䄯f;쀀𝕚a;䎹uest耻¿䂿Āci⎊⎏r;쀀𝒾nʀ;EdsvӴ⎛⎝⎡ӳ;拹ot;拵Ā;v⎦⎧拴;拳Ā;iݷ⎮lde;䄩ǫ⎸\0⎼cy;䑖l耻ï䃯̀cfmosu⏌⏗⏜⏡⏧⏵Āiy⏑⏕rc;䄵;䐹r;쀀𝔧ath;䈷pf;쀀𝕛ǣ⏬\0⏱r;쀀𝒿rcy;䑘kcy;䑔Ѐacfghjos␋␖␢␧␭␱␵␻ppaĀ;v␓␔䎺;䏰Āey␛␠dil;䄷;䐺r;쀀𝔨reen;䄸cy;䑅cy;䑜pf;쀀𝕜cr;쀀𝓀஀ABEHabcdefghjlmnoprstuv⑰⒁⒆⒍⒑┎┽╚▀♎♞♥♹♽⚚⚲⛘❝❨➋⟀⠁⠒ƀart⑷⑺⑼rò৆òΕail;椛arr;椎Ā;gঔ⒋;檋ar;楢ॣ⒥\0⒪\0⒱\0\0\0\0\0⒵Ⓔ\0ⓆⓈⓍ\0⓹ute;䄺mptyv;榴raîࡌbda;䎻gƀ;dlࢎⓁⓃ;榑åࢎ;檅uo耻«䂫rЀ;bfhlpst࢙ⓞⓦⓩ⓫⓮⓱⓵Ā;f࢝ⓣs;椟s;椝ë≒p;憫l;椹im;楳l;憢ƀ;ae⓿─┄檫il;椙Ā;s┉┊檭;쀀⪭︀ƀabr┕┙┝rr;椌rk;杲Āak┢┬cĀek┨┪;䁻;䁛Āes┱┳;榋lĀdu┹┻;榏;榍Ȁaeuy╆╋╖╘ron;䄾Ādi═╔il;䄼ìࢰâ┩;䐻Ȁcqrs╣╦╭╽a;椶uoĀ;rนᝆĀdu╲╷har;楧shar;楋h;憲ʀ;fgqs▋▌উ◳◿扤tʀahlrt▘▤▷◂◨rrowĀ;t࢙□aé⓶arpoonĀdu▯▴own»њp»०eftarrows;懇ightƀahs◍◖◞rrowĀ;sࣴࢧarpoonó྘quigarro÷⇰hreetimes;拋ƀ;qs▋ও◺lanôবʀ;cdgsব☊☍☝☨c;檨otĀ;o☔☕橿Ā;r☚☛檁;檃Ā;e☢☥쀀⋚︀s;檓ʀadegs☳☹☽♉♋pproøⓆot;拖qĀgq♃♅ôউgtò⒌ôছiíলƀilr♕࣡♚sht;楼;쀀𝔩Ā;Eজ♣;檑š♩♶rĀdu▲♮Ā;l॥♳;楪lk;斄cy;䑙ʀ;achtੈ⚈⚋⚑⚖rò◁orneòᴈard;楫ri;旺Āio⚟⚤dot;䅀ustĀ;a⚬⚭掰che»⚭ȀEaes⚻⚽⛉⛔;扨pĀ;p⛃⛄檉rox»⛄Ā;q⛎⛏檇Ā;q⛎⚻im;拦Ѐa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di㩀㩑Ābg㩅㩉ar;機eĀ;qᗺ㩏;扙erp;愘r;쀀𝔴pf;쀀𝕨Ā;eᑹ㩦atèᑹcr;쀀𝓌ૣណ㪇\0㪋\0㪐㪛\0\0㪝㪨㪫㪯\0\0㫃㫎\0㫘ៜ៟tré៑r;쀀𝔵ĀAa㪔㪗ròσrò৶;䎾ĀAa㪡㪤ròθrò৫að✓is;拻ƀdptឤ㪵㪾Āfl㪺ឩ;쀀𝕩imåឲĀAa㫇㫊ròώròਁĀcq㫒ីr;쀀𝓍Āpt៖㫜ré។Ѐacefiosu㫰㫽㬈㬌㬑㬕㬛㬡cĀuy㫶㫻te耻ý䃽;䑏Āiy㬂㬆rc;䅷;䑋n耻¥䂥r;쀀𝔶cy;䑗pf;쀀𝕪cr;쀀𝓎Ācm㬦㬩y;䑎l耻ÿ䃿Ԁacdefhiosw㭂㭈㭔㭘㭤㭩㭭㭴㭺㮀cute;䅺Āay㭍㭒ron;䅾;䐷ot;䅼Āet㭝㭡træᕟa;䎶r;쀀𝔷cy;䐶grarr;懝pf;쀀𝕫cr;쀀𝓏Ājn㮅㮇;怍j;怌'.split("").map((function(e){return 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Analyzing the impact of the lockdown on air quality in Delhi, India

A grid showing the India Gate in smog above and clear air below

What you’ll do

Calculate Air Quality Indices (AQI) and perform paired Student’s t-test on them.

What you’ll learn

  • You’ll learn the concept of moving averages

  • You’ll learn how to calculate Air Quality Index (AQI)

  • You’ll learn how to perform a paired Student’s t-test and find the t and p values

  • You’ll learn how to interpret these values

What you’ll need

  • SciPy installed in your environment

  • Basic understanding of statistical terms like population, sample, mean, standard deviation etc.

The problem of air pollution

Air pollution is one of the most prominent types of pollution we face that has an immediate effect on our daily lives. The +COVID-19 pandemic resulted in lockdowns in different parts of the world; offering a rare opportunity to study the effect of +human activity (or lack thereof) on air pollution. In this tutorial, we will study the air quality in Delhi, one of the +worst affected cities by air pollution, before and during the lockdown from March to June 2020. For this, we will first compute +the Air Quality Index for each hour from the collected pollutant measurements. Next, we will sample these indices and perform +a paired Student’s t-test on them. It will statistically show us that the air quality improved due to the lockdown, supporting our intuition.

Let’s start by importing the necessary libraries into our environment.

import numpy as np
+from numpy.random import default_rng
+from scipy import stats

Building the dataset

We will use a condensed version of the Air Quality Data in India dataset. This dataset contains air quality data and AQI (Air Quality Index) at hourly and daily level of various stations across multiple cities in India. The condensed version available with this tutorial contains hourly pollutant measurements for Delhi +from May 31, 2019 to June 30, 2020. It has measurements of the standard pollutants that are required for Air Quality Index calculation and a few other important ones: +Particulate Matter (PM 2.5 and PM 10), nitrogen dioxide (NO2), ammonia (NH3), sulfur dioxide (SO2), carbon monoxide (CO), ozone (O3), oxides of nitrogen (NOx), nitric oxide (NO), benzene, toluene, and xylene.

Let’s print out the first few rows to have a glimpse of our dataset.

! head air-quality-data.csv
Datetime,PM2.5,PM10,NO2,NH3,SO2,CO,O3,NOx,NO,Benzene,Toluene,Xylene
+2019-05-31 00:00:00,103.26,305.46,94.71,31.43,30.16,3.0,18.06,178.31,152.73,13.65,83.47,2.54
+2019-05-31 01:00:00,104.47,309.14,74.66,34.08,27.02,1.69,18.65,106.5,79.98,11.35,76.79,2.91
+2019-05-31 02:00:00,90.0,314.02,48.11,32.6,18.12,0.83,28.27,48.45,25.27,5.66,32.91,1.59
+2019-05-31 03:00:00,78.01,356.14,45.45,30.21,16.78,0.79,27.47,44.22,21.5,3.6,21.41,0.78
+2019-05-31 04:00:00,80.19,372.9,45.23,28.68,16.41,0.76,26.92,44.06,22.15,4.5,23.39,0.62
+2019-05-31 05:00:00,83.59,389.97,39.49,27.71,17.42,0.76,28.71,39.33,21.04,3.25,23.59,0.56
+2019-05-31 06:00:00,79.04,371.64,39.61,26.87,16.91,0.84,29.26,43.11,24.37,3.12,15.27,0.46
+2019-05-31 07:00:00,77.32,361.88,42.63,27.26,17.86,0.96,27.07,48.22,28.81,3.32,14.42,0.41
+2019-05-31 08:00:00,84.3,377.77,42.49,28.41,20.19,0.98,33.05,48.22,27.76,3.4,14.53,0.4
+

For the purpose of this tutorial, we are only concerned with standard pollutants required for calculating the AQI, viz., PM 2.5, PM 10, NO2, NH3, SO2, CO, and O3. So, we will only import these particular columns with np.loadtxt. We’ll then slice and create two sets: pollutants_A with PM 2.5, PM 10, NO2, NH3, and SO2, and pollutants_B with CO and O3. The +two sets will be processed slightly differently, as we’ll see later on.

pollutant_data = np.loadtxt("air-quality-data.csv", dtype=float, delimiter=",",
+                            skiprows=1, usecols=range(1, 8))
+pollutants_A = pollutant_data[:, 0:5]
+pollutants_B = pollutant_data[:, 5:]
+
+print(pollutants_A.shape)
+print(pollutants_B.shape)
(9528, 5)
+(9528, 2)
+

Our dataset might contain missing values, denoted by NaN, so let’s do a quick check with np.isfinite.

np.all(np.isfinite(pollutant_data))
np.True_

With this, we have successfully imported the data and checked that it is complete. Let’s move on to the AQI calculations!

Calculating the Air Quality Index

We will calculate the AQI using the method adopted by the Central Pollution Control Board of India. To summarize the steps:

  • Collect 24-hourly average concentration values for the standard pollutants; 8-hourly in case of CO and O3.

  • Calculate the sub-indices for these pollutants with the formula:

    Ip=IHi – ILoBPHi – BPLo⋅Cp – BPLo+ILoIp = \dfrac{\text{IHi – ILo}}{\text{BPHi – BPLo}}\cdot{\text{Cp – BPLo}} + \text{ILo}
    (1)

    Where,

    Ip = sub-index of pollutant p
    Cp = averaged concentration of pollutant p
    BPHi = concentration breakpoint i.e. greater than or equal to Cp
    BPLo = concentration breakpoint i.e. less than or equal to Cp
    IHi = AQI value corresponding to BPHi
    ILo = AQI value corresponding to BPLo

  • The maximum sub-index at any given time is the Air Quality Index.

The Air Quality Index is calculated with the help of breakpoint ranges as shown in the chart below.

Chart of the breakpoint ranges

Let’s create two arrays to store the AQI ranges and breakpoints so that we can use them later for our calculations.

AQI = np.array([0, 51, 101, 201, 301, 401, 501])
+
+breakpoints = {
+    'PM2.5': np.array([0, 31, 61, 91, 121, 251]),
+    'PM10': np.array([0, 51, 101, 251, 351, 431]),
+    'NO2': np.array([0, 41, 81, 181, 281, 401]),
+    'NH3': np.array([0, 201, 401, 801, 1201, 1801]),
+    'SO2': np.array([0, 41, 81, 381, 801, 1601]),
+    'CO': np.array([0, 1.1, 2.1, 10.1, 17.1, 35]),
+    'O3': np.array([0, 51, 101, 169, 209, 749])
+}

Moving averages

For the first step, we have to compute moving averages for pollutants_A over a window of 24 hours and pollutants_B over a +window of 8 hours. We will write a simple function moving_mean using np.cumsum and sliced indexing to achieve this.

To make sure both the sets are of the same length, we will truncate the pollutants_B_8hr_avg according to the length of +pollutants_A_24hr_avg. This will also ensure we have concentrations for all the pollutants over the same period of time.

def moving_mean(a, n):
+    ret = np.cumsum(a, dtype=float, axis=0)
+    ret[n:] = ret[n:] - ret[:-n]
+    return ret[n - 1:] / n
+
+pollutants_A_24hr_avg = moving_mean(pollutants_A, 24)
+pollutants_B_8hr_avg = moving_mean(pollutants_B, 8)[-(pollutants_A_24hr_avg.shape[0]):]

Now, we can join both sets with np.concatenate to form a single data set of all the averaged concentrations. Note that we have to join our arrays column-wise so we pass the +axis=1 parameter.

pollutants = np.concatenate((pollutants_A_24hr_avg, pollutants_B_8hr_avg), axis=1)

Sub-indices

The subindices for each pollutant are calculated according to the linear relationship between the AQI and standard breakpoint ranges with the formula as above:

Ip=IHi – ILoBPHi – BPLo⋅Cp – BPLo+ILoIp = \dfrac{\text{IHi – ILo}}{\text{BPHi – BPLo}}\cdot{\text{Cp – BPLo}} + \text{ILo}
(2)

The compute_indices function first fetches the correct upper and lower bounds of AQI categories and breakpoint concentrations for the input concentration and pollutant with the help of arrays AQI and breakpoints we created above. Then, it feeds these values into the formula to calculate the sub-index.

def compute_indices(pol, con):
+    bp = breakpoints[pol]
+    
+    if pol == 'CO':
+        inc = 0.1
+    else:
+        inc = 1
+    
+    if bp[0] <= con < bp[1]:
+        Bl = bp[0]
+        Bh = bp[1] - inc
+        Ih = AQI[1] - inc
+        Il = AQI[0]
+
+    elif bp[1] <= con < bp[2]:
+        Bl = bp[1]
+        Bh = bp[2] - inc
+        Ih = AQI[2] - inc
+        Il = AQI[1]
+
+    elif bp[2] <= con < bp[3]:
+        Bl = bp[2]
+        Bh = bp[3] - inc
+        Ih = AQI[3] - inc
+        Il = AQI[2]
+
+    elif bp[3] <= con < bp[4]:
+        Bl = bp[3]
+        Bh = bp[4] - inc
+        Ih = AQI[4] - inc
+        Il = AQI[3]
+
+    elif bp[4] <= con < bp[5]:
+        Bl = bp[4]
+        Bh = bp[5] - inc
+        Ih = AQI[5] - inc
+        Il = AQI[4]
+
+    elif bp[5] <= con:
+        Bl = bp[5]
+        Bh = bp[5] + bp[4] - (2 * inc)
+        Ih = AQI[6]
+        Il = AQI[5]
+
+    else:
+        print("Concentration out of range!")
+        
+    return ((Ih - Il) / (Bh - Bl)) * (con - Bl) + Il

We will use np.vectorize to utilize the concept of vectorization. This simply means we don’t have loop over each element of the pollutant array ourselves. Vectorization is one of the key advantages of NumPy.

vcompute_indices = np.vectorize(compute_indices)

By calling our vectorized function vcompute_indices for each pollutant, we get the sub-indices. To get back an array with the original shape, we use np.stack.

sub_indices = np.stack((vcompute_indices('PM2.5', pollutants[..., 0]),
+                        vcompute_indices('PM10', pollutants[..., 1]),
+                        vcompute_indices('NO2', pollutants[..., 2]),
+                        vcompute_indices('NH3', pollutants[..., 3]),
+                        vcompute_indices('SO2', pollutants[..., 4]),
+                        vcompute_indices('CO', pollutants[..., 5]),
+                        vcompute_indices('O3', pollutants[..., 6])), axis=1)

Air quality indices

Using np.max, we find out the maximum sub-index for each period, which is our Air Quality Index!

aqi_array = np.max(sub_indices, axis=1)

With this, we have the AQI for every hour from June 1, 2019 to June 30, 2020. Note that even though we started out with +the data from 31st May, we truncated that during the moving averages step.

Paired Student’s t-test on the AQIs

Hypothesis testing is a form of descriptive statistics used to help us make decisions with the data. From the calculated AQI data, we want to find out if there was a statistically significant difference in average AQI before and after the lockdown was imposed. We will use the left-tailed, paired Student’s t-test to compute two test statistics- the t statistic and the p value. We will then compare these with the corresponding critical values to make a decision.

Normal distribution plot showing area of rejection in one-tailed test (left tailed)

Sampling

We will now import the datetime column from our original dataset into a datetime64 dtype array. We will use this array to index the AQI array and obtain subsets of the dataset.

datetime = np.loadtxt("air-quality-data.csv", dtype='M8[h]', delimiter=",",
+                         skiprows=1, usecols=(0, ))[-(pollutants_A_24hr_avg.shape[0]):]

Since total lockdown commenced in Delhi from March 24, 2020, the after-lockdown subset is of the period March 24, 2020 to June 30, 2020. The before-lockdown subset is for the same length of time before 24th March.

after_lock = aqi_array[np.where(datetime >= np.datetime64('2020-03-24T00'))]
+
+before_lock = aqi_array[np.where(datetime <= np.datetime64('2020-03-21T00'))][-(after_lock.shape[0]):]
+
+print(after_lock.shape)
+print(before_lock.shape)
(2376,)
+(2376,)
+

To make sure our samples are approximately normally distributed, we take samples of size n = 30. before_sample and after_sample are the set of random observations drawn before and after the total lockdown. We use random.Generator.choice to generate the samples.

rng = default_rng()
+
+before_sample = rng.choice(before_lock, size=30, replace=False)
+after_sample = rng.choice(after_lock, size=30, replace=False)

Defining the hypothesis

Let us assume that there is no significant difference between the sample means before and after the lockdown. This will be the null hypothesis. The alternative hypothesis would be that there is a significant difference between the means and the AQI improved. Mathematically,

H0:μafter-before=0H_{0}: \mu_\text{after-before} = 0
Ha:μafter-before<0H_{a}: \mu_\text{after-before} < 0

Calculating the test statistics

We will use the t statistic to evaluate our hypothesis and even calculate the p value from it. The formula for the t statistic is:

t=μafter-beforeσ2/nt = \frac{\mu_\text{after-before}}{\sqrt{\sigma^{2}/n}}
(3)

where,

μafter-before\mu_\text{after-before} = mean differences of samples
σ2\sigma^{2} = variance of mean differences
nn = sample size

def t_test(x, y):
+    diff = y - x
+    var = np.var(diff, ddof=1)
+    num = np.mean(diff)
+    denom = np.sqrt(var / len(x))
+    return np.divide(num, denom)
+
+t_value = t_test(before_sample, after_sample)

For the p value, we will use SciPy’s stats.distributions.t.cdf() function. It takes two arguments- the t statistic and the degrees of freedom (dof). The formula for dof is n - 1.

dof = len(before_sample) - 1
+
+p_value = stats.distributions.t.cdf(t_value, dof)
+
+print("The t value is {} and the p value is {}.".format(t_value, p_value))
The t value is -6.442706427324541 and the p value is 2.3821680975480706e-07.
+

What do the t and p values mean?

We will now compare the calculated test statistics with the critical test statistics. The critical t value is calculated by looking up the t-distribution table.

Table of selected t values at different confidence levels. T value for 29 dof at 95% confidence level is highlighted with a yellow square

From the table above, the critical value is 1.699 for 29 dof at a confidence level of 95%. Since we are using the left tailed test, our critical value is -1.699. Clearly, the calculated t value is less than the critical value so we can safely reject the null hypothesis.

The critical p value, denoted by α\alpha, is usually chosen to be 0.05, corresponding to a confidence level of 95%. If the calculated p value is less than α\alpha, then the null hypothesis can be safely rejected. Clearly, our p value is much less than α\alpha, so we can reject the null hypothesis.

Note that this does not mean we can accept the alternative hypothesis. It only tells us that there is not enough evidence to reject HaH_{a}. In other words, we fail to reject the alternative hypothesis so, it may be true.

In practice...

  • The pandas library is preferable to use for time-series data analysis.

  • The SciPy stats module provides the stats.ttest_rel function which can be used to get the t statistic and p value.

  • In real life, data are generally not normally distributed. There are tests for such non-normal data like the Wilcoxon test.

Further reading

  • There are various versions of the Student’s t-test that you can adopt according to your needs.

Applications
Plotting Fractals
Features
Linear Algebra on n-D arrays
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Load the MNIST dataset","position":{"start":{"line":63,"column":1},"end":{"line":63,"column":1}},"key":"AZKLkc7dcT"}],"identifier":"id-1-load-the-mnist-dataset","label":"1. Load the MNIST dataset","html_id":"id-1-load-the-mnist-dataset","implicit":true,"key":"wqra9IkCS1"},{"type":"paragraph","position":{"start":{"line":65,"column":1},"end":{"line":65,"column":1}},"children":[{"type":"text","value":"In this section, you will download the zipped MNIST dataset files originally developed by Yann LeCun’s research team. (More details of the MNIST dataset are available on ","position":{"start":{"line":65,"column":1},"end":{"line":65,"column":1}},"key":"sqRbQHlU6c"},{"type":"link","url":"https://www.kaggle.com/datasets/hojjatk/mnist-dataset","position":{"start":{"line":65,"column":1},"end":{"line":65,"column":1}},"children":[{"type":"text","value":"Kaggle","position":{"start":{"line":65,"column":1},"end":{"line":65,"column":1}},"key":"NUtt5M3A6k"}],"urlSource":"https://www.kaggle.com/datasets/hojjatk/mnist-dataset","key":"ByedK6yfRC"},{"type":"text","value":".) Then, you will transform them into 4 files of NumPy array type using built-in Python modules. Finally, you will split the arrays into training and test sets.","position":{"start":{"line":65,"column":1},"end":{"line":65,"column":1}},"key":"EX8eVlwvU3"}],"key":"AYttO3IMvW"},{"type":"paragraph","position":{"start":{"line":67,"column":1},"end":{"line":67,"column":1}},"children":[{"type":"strong","position":{"start":{"line":67,"column":1},"end":{"line":67,"column":1}},"children":[{"type":"text","value":"1.","position":{"start":{"line":67,"column":1},"end":{"line":67,"column":1}},"key":"xSrcZm01Xy"}],"key":"pHjc8SoVfc"},{"type":"text","value":" Define a variable to store the training/test image/label names of the MNIST dataset in a list:","position":{"start":{"line":67,"column":1},"end":{"line":67,"column":1}},"key":"iJaub8zOCv"}],"key":"TRXWjBg9MC"}],"key":"WuihpwoFiF"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"data_sources = {\n \"training_images\": \"train-images-idx3-ubyte.gz\", # 60,000 training images.\n \"test_images\": \"t10k-images-idx3-ubyte.gz\", # 10,000 test images.\n \"training_labels\": \"train-labels-idx1-ubyte.gz\", # 60,000 training labels.\n \"test_labels\": \"t10k-labels-idx1-ubyte.gz\", # 10,000 test labels.\n}","key":"xRPwV1KIfs"},{"type":"outputs","id":"UUtI3by-prw5T0qkp8Ych","children":[],"key":"BQO91nuckQ"}],"key":"ojetBavzi5"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":78,"column":1},"end":{"line":79,"column":1}},"children":[{"type":"strong","position":{"start":{"line":78,"column":1},"end":{"line":78,"column":1}},"children":[{"type":"text","value":"2.","position":{"start":{"line":78,"column":1},"end":{"line":78,"column":1}},"key":"AFxZkJTyoE"}],"key":"iXPoacjzjE"},{"type":"text","value":" Load the data. First check if the data is stored locally; if not, then\ndownload it.","position":{"start":{"line":78,"column":1},"end":{"line":78,"column":1}},"key":"mGYsPsMAMu"}],"key":"hgwfa7H4ht"}],"key":"wiSvr8Ufsb"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"# Use responsibly! 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","position":{"start":{"line":135,"column":1},"end":{"line":135,"column":1}},"key":"dhXKkvD2rr"},{"type":"inlineCode","value":"y","position":{"start":{"line":135,"column":1},"end":{"line":135,"column":1}},"key":"kqFq4q510y"},{"type":"text","value":" for labels, calling the training and test set images ","position":{"start":{"line":135,"column":1},"end":{"line":135,"column":1}},"key":"PS43OZD8Qp"},{"type":"inlineCode","value":"x_train","position":{"start":{"line":135,"column":1},"end":{"line":135,"column":1}},"key":"UwcqeJXgpE"},{"type":"text","value":" and ","position":{"start":{"line":135,"column":1},"end":{"line":135,"column":1}},"key":"DJ6K8zpSAG"},{"type":"inlineCode","value":"x_test","position":{"start":{"line":135,"column":1},"end":{"line":135,"column":1}},"key":"gFq7phMdYE"},{"type":"text","value":", and the labels 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mnist_dataset[\"test_labels\"],\n)","key":"vAx3IkOhlF"},{"type":"outputs","id":"dSabR4hxuMZZXvmfKg7IB","children":[],"key":"GRO7ElZlAS"}],"key":"DnbWFQVGnb"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"children":[{"type":"strong","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"children":[{"type":"text","value":"5.","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"key":"kRDj8I1pjJ"}],"key":"DIi7xI2Tlb"},{"type":"text","value":" You can confirm that the shape of the image arrays is ","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"key":"mqF0QzOsOF"},{"type":"inlineCode","value":"(60000, 784)","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"key":"lJjPzm9eqj"},{"type":"text","value":" and 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","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"key":"CrSmPmyla6"},{"type":"inlineCode","value":"(10000,)","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"key":"sAK5wlpkJc"},{"type":"text","value":":","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"key":"fFI36mYHo9"}],"key":"j7LlQ75sHx"}],"key":"EKtXnr1Lkq"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"print(\n \"The shape of training images: {} and training labels: {}\".format(\n x_train.shape, y_train.shape\n )\n)\nprint(\n \"The shape of test images: {} and test labels: {}\".format(\n x_test.shape, y_test.shape\n )\n)","key":"p6O3VH3ZHH"},{"type":"outputs","id":"ClqyouFDKMK_3FBm8QHOR","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"The shape of training images: (60000, 784) and training labels: (60000,)\nThe shape of test images: (10000, 784) and test labels: (10000,)\n"},"key":"RbidqJA0p2"}],"key":"KnXOS73oV6"}],"key":"Q2FRNKgaEF"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":161,"column":1},"end":{"line":161,"column":1}},"children":[{"type":"strong","position":{"start":{"line":161,"column":1},"end":{"line":161,"column":1}},"children":[{"type":"text","value":"6.","position":{"start":{"line":161,"column":1},"end":{"line":161,"column":1}},"key":"X6wAia6NVG"}],"key":"JQKdDpSaLA"},{"type":"text","value":" And you can inspect some images using Matplotlib:","position":{"start":{"line":161,"column":1},"end":{"line":161,"column":1}},"key":"FnGkuTGICy"}],"key":"VCygemhh84"}],"key":"ogVGexhXAF"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"import matplotlib.pyplot as plt\n\n# Take the 60,000th image (indexed at 59,999) from the training set,\n# reshape from (784, ) to (28, 28) to have a valid shape for displaying purposes.\nmnist_image = x_train[59999, :].reshape(28, 28)\n\nfig, ax = plt.subplots()\n# Set the color mapping to grayscale to have a black background.\nax.imshow(mnist_image, cmap=\"gray\")","key":"NVkKlDZKYI"},{"type":"outputs","id":"AjcplhLREhw2WQEeMlBw5","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"e018622a0b32aae6fc08527a27232984","path":"/numpy-tutorials/build/e018622a0b32aae6fc08527a27232984.png"}}},"key":"cGeezCdKcx"}],"key":"DRmXgyP5rV"}],"key":"JfTTN7owIE"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"# Display 5 random images from the training set.\nnum_examples = 5\nseed = 147197952744\nrng = np.random.default_rng(seed)\n\nfig, axes = plt.subplots(1, num_examples)\nfor sample, ax in zip(rng.choice(x_train, size=num_examples, replace=False), axes):\n ax.imshow(sample.reshape(28, 28), cmap=\"gray\")","key":"JR7SMA8S9X"},{"type":"outputs","id":"H3zPDTlW5gY_iOA0tF2oY","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"b38af87a5e32f7a78feb44788a3ac955","path":"/numpy-tutorials/build/b38af87a5e32f7a78feb44788a3ac955.png"}}},"key":"zzCmCxFjXE"}],"key":"EYptBuJWCM"}],"key":"jCSqpWAYhO"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":186,"column":1},"end":{"line":187,"column":1}},"children":[{"type":"emphasis","position":{"start":{"line":186,"column":1},"end":{"line":186,"column":1}},"children":[{"type":"text","value":"Above are five images taken from the MNIST training set. Various hand-drawn\nArabic numerals are shown, with exact values chosen randomly with each run of the code.","position":{"start":{"line":186,"column":1},"end":{"line":186,"column":1}},"key":"TMbRGmGerb"}],"key":"xL38fKhrNa"}],"key":"liP6hqPCqq"},{"type":"blockquote","position":{"start":{"line":189,"column":1},"end":{"line":198,"column":1}},"children":[{"type":"paragraph","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"children":[{"type":"strong","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"children":[{"type":"text","value":"Note:","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"key":"WVNub6KZWC"}],"key":"RsrzjmKAEC"},{"type":"text","value":" You can also visualize a sample image as an array by printing ","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"key":"DxZqN7kIGq"},{"type":"inlineCode","value":"x_train[59999]","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"key":"p6DRtROtjo"},{"type":"text","value":". Here, ","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"key":"MUb1elPMwm"},{"type":"inlineCode","value":"59999","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"key":"SkcXVeAn2x"},{"type":"text","value":" is your 60,000th training image sample (","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"key":"koXptUH9ow"},{"type":"inlineCode","value":"0","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"key":"T1My45Jdnt"},{"type":"text","value":" would be your first). 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To get meaningful results, you should choose a much larger number.","position":{"start":{"line":428,"column":1},"end":{"line":428,"column":1}},"key":"SO46i0icGT"}],"key":"JyBBzBbTvW"}],"key":"qKcGOK1sb5"},{"type":"listItem","spread":true,"position":{"start":{"line":429,"column":1},"end":{"line":429,"column":1}},"children":[{"type":"paragraph","children":[{"type":"emphasis","position":{"start":{"line":429,"column":1},"end":{"line":429,"column":1}},"children":[{"type":"text","value":"Size of the hidden (middle) layer in a network","position":{"start":{"line":429,"column":1},"end":{"line":429,"column":1}},"key":"Z43lT18ti2"}],"key":"vTtRjO5zk3"},{"type":"text","value":": ","position":{"start":{"line":429,"column":1},"end":{"line":429,"column":1}},"key":"eBrZOV1DEM"},{"type":"inlineCode","value":"hidden_size","position":{"start":{"line":429,"column":1},"end":{"line":429,"column":1}},"key":"KD0HTBhAtF"},{"type":"text","value":" — different sizes of the hidden layer can affect the results during training and testing.","position":{"start":{"line":429,"column":1},"end":{"line":429,"column":1}},"key":"ET5UNSRnxj"}],"key":"wAGXLYjLi1"}],"key":"bN76uK696H"},{"type":"listItem","spread":true,"position":{"start":{"line":430,"column":1},"end":{"line":430,"column":1}},"children":[{"type":"paragraph","children":[{"type":"emphasis","position":{"start":{"line":430,"column":1},"end":{"line":430,"column":1}},"children":[{"type":"text","value":"Size of the input:","position":{"start":{"line":430,"column":1},"end":{"line":430,"column":1}},"key":"WI31Cr8BBC"}],"key":"onCVx0FpB7"},{"type":"text","value":" ","position":{"start":{"line":430,"column":1},"end":{"line":430,"column":1}},"key":"O26OH8bB21"},{"type":"inlineCode","value":"pixels_per_image","position":{"start":{"line":430,"column":1},"end":{"line":430,"column":1}},"key":"sRZRv9cpHM"},{"type":"text","value":" — you have established that the image input is 784 (28x28) (in pixels).","position":{"start":{"line":430,"column":1},"end":{"line":430,"column":1}},"key":"eISItEtXic"}],"key":"oaPRBI1MKb"}],"key":"NMiLENfCWd"},{"type":"listItem","spread":true,"position":{"start":{"line":431,"column":1},"end":{"line":432,"column":1}},"children":[{"type":"paragraph","children":[{"type":"emphasis","position":{"start":{"line":431,"column":1},"end":{"line":431,"column":1}},"children":[{"type":"text","value":"Number of labels","position":{"start":{"line":431,"column":1},"end":{"line":431,"column":1}},"key":"wjdyDe3F9p"}],"key":"ZyeiNW1Gc4"},{"type":"text","value":": ","position":{"start":{"line":431,"column":1},"end":{"line":431,"column":1}},"key":"H36Zjpikh0"},{"type":"inlineCode","value":"num_labels","position":{"start":{"line":431,"column":1},"end":{"line":431,"column":1}},"key":"URfcQppsZ6"},{"type":"text","value":" — indicates the output number for the output layer where the predictions occur for 10 (0 to 9) handwritten digit labels.","position":{"start":{"line":431,"column":1},"end":{"line":431,"column":1}},"key":"X1pyxZfBLF"}],"key":"EHQmYxM9eV"}],"key":"b2ANFMY8HS"}],"key":"h4JLRHtXeo"}],"key":"lVJBbY3wPL"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"learning_rate = 0.005\nepochs = 20\nhidden_size = 100\npixels_per_image = 784\nnum_labels = 10","key":"LQZP2Y2UmF"},{"type":"outputs","id":"gpTY_Yv4_ioxXOY16M29U","children":[],"key":"xJiO596leS"}],"key":"R8gzmTqSjF"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":441,"column":1},"end":{"line":441,"column":1}},"children":[{"type":"strong","position":{"start":{"line":441,"column":1},"end":{"line":441,"column":1}},"children":[{"type":"text","value":"4.","position":{"start":{"line":441,"column":1},"end":{"line":441,"column":1}},"key":"eeDDJm0ocl"}],"key":"xjTfz4ZA1Q"},{"type":"text","value":" Initialize the weight vectors that will be used in the hidden and output layers with random values:","position":{"start":{"line":441,"column":1},"end":{"line":441,"column":1}},"key":"CFd1s5B3YL"}],"key":"CgORpALfmq"}],"key":"C1IcwBgJoW"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"weights_1 = 0.2 * rng.random((pixels_per_image, hidden_size)) - 0.1\nweights_2 = 0.2 * rng.random((hidden_size, num_labels)) - 0.1","key":"Sb5qjT3Qb2"},{"type":"outputs","id":"1ZU-MzfOFqECWa8nZOIX8","children":[],"key":"abzfEHjsDH"}],"key":"qHfHkbpxUx"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":448,"column":1},"end":{"line":450,"column":1}},"children":[{"type":"strong","position":{"start":{"line":448,"column":1},"end":{"line":448,"column":1}},"children":[{"type":"text","value":"5.","position":{"start":{"line":448,"column":1},"end":{"line":448,"column":1}},"key":"mJk33Te6dY"}],"key":"AeozZ8ankS"},{"type":"text","value":" Set up the neural network’s learning experiment with a training loop and start the training process.\nNote that the model is evaluated against the test set at each epoch to track\nits performance over the training epochs.","position":{"start":{"line":448,"column":1},"end":{"line":448,"column":1}},"key":"jIIUjtfMD0"}],"key":"lfaNn8uJML"},{"type":"paragraph","position":{"start":{"line":452,"column":1},"end":{"line":452,"column":1}},"children":[{"type":"text","value":"Start the training process:","position":{"start":{"line":452,"column":1},"end":{"line":452,"column":1}},"key":"Is2pz3dUTE"}],"key":"WU1pDoRs85"}],"key":"CbnqygFUwe"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"# To store training and test set losses and accurate predictions\n# for visualization.\nstore_training_loss = []\nstore_training_accurate_pred = []\nstore_test_loss = []\nstore_test_accurate_pred = []\n\n# This is a training loop.\n# Run the learning experiment for a defined number of epochs (iterations).\nfor j in range(epochs):\n\n #################\n # Training step #\n #################\n\n # Set the initial loss/error and the number of accurate predictions to zero.\n training_loss = 0.0\n training_accurate_predictions = 0\n\n # For all images in the training set, perform a forward pass\n # and backpropagation and adjust the weights accordingly.\n for i in range(len(training_images)):\n # Forward propagation/forward pass:\n # 1. The input layer:\n # Initialize the training image data as inputs.\n layer_0 = training_images[i]\n # 2. The hidden layer:\n # Take in the training image data into the middle layer by\n # matrix-multiplying it by randomly initialized weights.\n layer_1 = np.dot(layer_0, weights_1)\n # 3. Pass the hidden layer's output through the ReLU activation function.\n layer_1 = relu(layer_1)\n # 4. Define the dropout function for regularization.\n dropout_mask = rng.integers(low=0, high=2, size=layer_1.shape)\n # 5. Apply dropout to the hidden layer's output.\n layer_1 *= dropout_mask * 2\n # 6. The output layer:\n # Ingest the output of the middle layer into the the final layer\n # by matrix-multiplying it by randomly initialized weights.\n # Produce a 10-dimension vector with 10 scores.\n layer_2 = np.dot(layer_1, weights_2)\n\n # Backpropagation/backward pass:\n # 1. Measure the training error (loss function) between the actual\n # image labels (the truth) and the prediction by the model.\n training_loss += np.sum((training_labels[i] - layer_2) ** 2)\n # 2. Increment the accurate prediction count.\n training_accurate_predictions += int(\n np.argmax(layer_2) == np.argmax(training_labels[i])\n )\n # 3. Differentiate the loss function/error.\n layer_2_delta = training_labels[i] - layer_2\n # 4. Propagate the gradients of the loss function back through the hidden layer.\n layer_1_delta = np.dot(weights_2, layer_2_delta) * relu2deriv(layer_1)\n # 5. Apply the dropout to the gradients.\n layer_1_delta *= dropout_mask\n # 6. Update the weights for the middle and input layers\n # by multiplying them by the learning rate and the gradients.\n weights_1 += learning_rate * np.outer(layer_0, layer_1_delta)\n weights_2 += learning_rate * np.outer(layer_1, layer_2_delta)\n\n # Store training set losses and accurate predictions.\n store_training_loss.append(training_loss)\n store_training_accurate_pred.append(training_accurate_predictions)\n\n ###################\n # Evaluation step #\n ###################\n\n # Evaluate model performance on the test set at each epoch.\n\n # Unlike the training step, the weights are not modified for each image\n # (or batch). Therefore the model can be applied to the test images in a\n # vectorized manner, eliminating the need to loop over each image\n # individually:\n\n results = relu(test_images @ weights_1) @ weights_2\n\n # Measure the error between the actual label (truth) and prediction values.\n test_loss = np.sum((test_labels - results) ** 2)\n\n # Measure prediction accuracy on test set\n test_accurate_predictions = np.sum(\n np.argmax(results, axis=1) == np.argmax(test_labels, axis=1)\n )\n\n # Store test set losses and accurate predictions.\n store_test_loss.append(test_loss)\n store_test_accurate_pred.append(test_accurate_predictions)\n\n # Summarize error and accuracy metrics at each epoch\n print(\n (\n f\"Epoch: {j}\\n\"\n f\" Training set error: {training_loss / len(training_images):.3f}\\n\"\n f\" Training set accuracy: {training_accurate_predictions / len(training_images)}\\n\"\n f\" Test set error: {test_loss / len(test_images):.3f}\\n\"\n f\" Test set accuracy: {test_accurate_predictions / len(test_images)}\"\n )\n )","key":"Ul0cKbiBeD"},{"type":"outputs","id":"JpSK9tlgl6VP8NXcK5Ecb","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 0\n Training set error: 0.898\n Training set accuracy: 0.397\n Test set error: 0.680\n Test set accuracy: 0.582\n"},"key":"dIELt5Y14l"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 1\n Training set error: 0.656\n Training set accuracy: 0.633\n Test set error: 0.607\n Test set accuracy: 0.641\n"},"key":"foG0XjH0Ga"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 2\n Training set error: 0.592\n Training set accuracy: 0.68\n Test set error: 0.569\n Test set accuracy: 0.679\n"},"key":"DireTimzCs"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 3\n Training set error: 0.556\n Training set accuracy: 0.7\n Test set error: 0.541\n Test set accuracy: 0.708\n"},"key":"MzLDZ8gusv"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 4\n Training set error: 0.534\n Training set accuracy: 0.732\n Test set error: 0.526\n Test set accuracy: 0.729\n"},"key":"nXI8c7fZbT"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 5\n Training set error: 0.515\n Training set accuracy: 0.715\n Test set error: 0.500\n Test set accuracy: 0.739\n"},"key":"N0J1YwvZGT"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 6\n Training set error: 0.495\n Training set accuracy: 0.748\n Test set error: 0.487\n Test set accuracy: 0.753\n"},"key":"ycOKeD0q8z"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 7\n Training set error: 0.483\n Training set accuracy: 0.769\n Test set error: 0.486\n Test set accuracy: 0.747\n"},"key":"tE4sGbTFho"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 8\n Training set error: 0.473\n Training set accuracy: 0.776\n Test set error: 0.473\n Test set accuracy: 0.752\n"},"key":"TzaxoudnuS"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 9\n Training set error: 0.460\n Training set accuracy: 0.788\n Test set error: 0.462\n Test set accuracy: 0.762\n"},"key":"D62G4lSnTZ"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 10\n Training set error: 0.465\n Training set accuracy: 0.769\n Test set error: 0.462\n Test set accuracy: 0.767\n"},"key":"I0Y9XLXRzE"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 11\n Training set error: 0.443\n Training set accuracy: 0.801\n Test set error: 0.456\n Test set accuracy: 0.775\n"},"key":"AowK3BpEAB"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 12\n Training set error: 0.448\n Training set accuracy: 0.795\n Test set error: 0.455\n Test set accuracy: 0.772\n"},"key":"o8oq6IrchG"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 13\n Training set error: 0.438\n Training set accuracy: 0.787\n Test set error: 0.453\n Test set accuracy: 0.778\n"},"key":"Zf4fZbWUUN"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 14\n Training set error: 0.446\n Training set accuracy: 0.791\n Test set error: 0.450\n Test set accuracy: 0.779\n"},"key":"vomZ1kPLtQ"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 15\n Training set error: 0.441\n Training set accuracy: 0.788\n Test set error: 0.452\n Test set accuracy: 0.772\n"},"key":"sS1PgbePGl"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 16\n Training set error: 0.437\n Training set accuracy: 0.786\n Test set error: 0.453\n Test set accuracy: 0.772\n"},"key":"Kjt8nuL9vQ"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 17\n Training set error: 0.436\n Training set accuracy: 0.794\n Test set error: 0.449\n Test set accuracy: 0.778\n"},"key":"tulmYSx9Ht"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 18\n Training set error: 0.433\n Training set accuracy: 0.801\n Test set error: 0.450\n Test set accuracy: 0.774\n"},"key":"omURtMEDPR"},{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Epoch: 19\n Training set error: 0.429\n Training set accuracy: 0.785\n Test set error: 0.436\n Test set accuracy: 0.784\n"},"key":"q0eMizUjJv"}],"key":"jiTfNq6YZ1"}],"key":"qpRyXkVFP9"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":557,"column":1},"end":{"line":557,"column":1}},"children":[{"type":"text","value":"The training process may take many minutes, depending on a number of factors, such as the processing power of the machine you are running the experiment on and the number of epochs. To reduce the waiting time, you can change the epoch (iteration) variable from 100 to a lower number, reset the runtime (which will reset the weights), and run the notebook cells again.","position":{"start":{"line":557,"column":1},"end":{"line":557,"column":1}},"key":"cuhSoL3Ptk"}],"key":"nSfKqd32M4"}],"key":"gLyNU6NzUu"},{"type":"block","position":{"start":{"line":559,"column":1},"end":{"line":559,"column":1}},"children":[{"type":"paragraph","position":{"start":{"line":561,"column":1},"end":{"line":561,"column":1}},"children":[{"type":"text","value":"After executing the cell above, you can visualize the training and test set errors and accuracy for an instance of this training process.","position":{"start":{"line":561,"column":1},"end":{"line":561,"column":1}},"key":"rc42RmcMwx"}],"key":"n286wGAo48"}],"key":"HvYuJZsUPs"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"epoch_range = np.arange(epochs) + 1 # Starting from 1\n\n# The training set metrics.\ntraining_metrics = {\n \"accuracy\": np.asarray(store_training_accurate_pred) / len(training_images),\n \"error\": np.asarray(store_training_loss) / len(training_images),\n}\n\n# The test set metrics.\ntest_metrics = {\n \"accuracy\": np.asarray(store_test_accurate_pred) / len(test_images),\n \"error\": np.asarray(store_test_loss) / len(test_images),\n}\n\n# Display the plots.\nfig, axes = plt.subplots(nrows=1, ncols=2, figsize=(15, 5))\nfor ax, metrics, title in zip(\n axes, (training_metrics, test_metrics), (\"Training set\", \"Test set\")\n):\n # Plot the metrics\n for metric, values in metrics.items():\n ax.plot(epoch_range, values, label=metric.capitalize())\n ax.set_title(title)\n ax.set_xlabel(\"Epochs\")\n ax.legend()","key":"UXla8EHSGE"},{"type":"outputs","id":"eTt8919DSZ0GpdTTPwmuP","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"87249290c03a34d5ea6dd3cb94f73280","path":"/numpy-tutorials/build/87249290c03a34d5ea6dd3cb94f73280.png"}}},"key":"czFLkqBnen"}],"key":"m7IZXiWkdT"}],"key":"kRuwOxX0td"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":591,"column":1},"end":{"line":593,"column":1}},"children":[{"type":"emphasis","position":{"start":{"line":591,"column":1},"end":{"line":591,"column":1}},"children":[{"type":"text","value":"The training and testing error is shown above in the left and right\nplots, respectively. As the number of Epochs increases, the total error\ndecreases and the accuracy increases.","position":{"start":{"line":591,"column":1},"end":{"line":591,"column":1}},"key":"XZI5BrEMgn"}],"key":"uiX7HG6Yvb"}],"key":"etB8cLOW4w"},{"type":"paragraph","position":{"start":{"line":595,"column":1},"end":{"line":595,"column":1}},"children":[{"type":"text","value":"The accuracy rates that your model reaches during training and testing may be somewhat plausible but you may also find the error rates to be quite high.","position":{"start":{"line":595,"column":1},"end":{"line":595,"column":1}},"key":"jCeVV34VG7"}],"key":"UlkQSZj5tq"},{"type":"paragraph","position":{"start":{"line":597,"column":1},"end":{"line":597,"column":1}},"children":[{"type":"text","value":"To reduce the error during training and testing, you can consider changing the simple loss function to, for example, categorical ","position":{"start":{"line":597,"column":1},"end":{"line":597,"column":1}},"key":"wLNLV0ZvQC"},{"type":"link","url":"https://en.wikipedia.org/wiki/Cross_entropy","position":{"start":{"line":597,"column":1},"end":{"line":597,"column":1}},"children":[{"type":"text","value":"cross-entropy","position":{"start":{"line":597,"column":1},"end":{"line":597,"column":1}},"key":"QWu7RXeXth"}],"urlSource":"https://en.wikipedia.org/wiki/Cross_entropy","data":{"page":"Cross_entropy","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"zmsyYNBEHf"},{"type":"text","value":". Other possible solutions are discussed below.","position":{"start":{"line":597,"column":1},"end":{"line":597,"column":1}},"key":"umJmmlnVsn"}],"key":"HbAFCJi2CH"},{"type":"heading","depth":2,"position":{"start":{"line":599,"column":1},"end":{"line":599,"column":1}},"children":[{"type":"text","value":"Next steps","position":{"start":{"line":599,"column":1},"end":{"line":599,"column":1}},"key":"z4MVuz0lmQ"}],"identifier":"next-steps","label":"Next steps","html_id":"next-steps","implicit":true,"key":"FNwvfGl3Nz"},{"type":"paragraph","position":{"start":{"line":601,"column":1},"end":{"line":601,"column":1}},"children":[{"type":"text","value":"You have learned how to build and train a simple feed-forward neural network from scratch using just NumPy to classify handwritten MNIST digits.","position":{"start":{"line":601,"column":1},"end":{"line":601,"column":1}},"key":"hyqt0BNqD5"}],"key":"S62RmhvVKs"},{"type":"paragraph","position":{"start":{"line":603,"column":1},"end":{"line":603,"column":1}},"children":[{"type":"text","value":"To further enhance and optimize your neural network model, you can consider one of a mixture of the following:","position":{"start":{"line":603,"column":1},"end":{"line":603,"column":1}},"key":"UQppeLZPxT"}],"key":"n3YCeCSZyf"},{"type":"list","ordered":false,"spread":false,"position":{"start":{"line":604,"column":1},"end":{"line":613,"column":1}},"children":[{"type":"listItem","spread":true,"position":{"start":{"line":604,"column":1},"end":{"line":604,"column":1}},"children":[{"type":"paragraph","children":[{"type":"text","value":"Increase the training sample size from 1,000 to a higher number (up to 60,000).","position":{"start":{"line":604,"column":1},"end":{"line":604,"column":1}},"key":"AvgqlPyHtQ"}],"key":"ddJzHZEm6I"}],"key":"z0zqfI3sWl"},{"type":"listItem","spread":true,"position":{"start":{"line":605,"column":1},"end":{"line":605,"column":1}},"children":[{"type":"paragraph","children":[{"type":"text","value":"Use ","position":{"start":{"line":605,"column":1},"end":{"line":605,"column":1}},"key":"fouhf2GjuK"},{"type":"link","url":"http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf","position":{"start":{"line":605,"column":1},"end":{"line":605,"column":1}},"children":[{"type":"text","value":"mini-batches and reduce the learning rate","position":{"start":{"line":605,"column":1},"end":{"line":605,"column":1}},"key":"MWAOFBQaI0"}],"urlSource":"http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf","key":"uxE7m8ZgZa"},{"type":"text","value":".","position":{"start":{"line":605,"column":1},"end":{"line":605,"column":1}},"key":"G2qs9u1960"}],"key":"fpntiOtCrX"}],"key":"xAa0zlulqm"},{"type":"listItem","spread":true,"position":{"start":{"line":606,"column":1},"end":{"line":606,"column":1}},"children":[{"type":"paragraph","children":[{"type":"text","value":"Alter the architecture by introducing more hidden layers to make the network 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D., & Gebru, T. (2019). Model Cards for Model Reporting. Proceedings of the Conference on Fairness, Accountability, and Transparency, 220–229. 10.1145/3287560.3287596","url":"https://doi.org/10.1145/3287560.3287596"}}}},"footer":{"navigation":{"prev":{"title":"Determining Moore’s Law with real data in NumPy","short_title":"Moore's Law","url":"/mooreslaw-tutorial","group":"Applications"},"next":{"title":"X-ray image processing","url":"/tutorial-x-ray-image-processing","group":"Applications"}}},"domain":"http://localhost:3000"} \ No newline at end of file diff --git a/tutorial-deep-learning-on-mnist/index.html b/tutorial-deep-learning-on-mnist/index.html new file mode 100644 index 00000000..f331d147 --- /dev/null +++ b/tutorial-deep-learning-on-mnist/index.html @@ -0,0 +1,402 @@ +Deep learning on MNIST - Numpy Tutorials
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Deep learning on MNIST

This tutorial demonstrates how to build a simple feedforward neural network (with one hidden layer) and train it from scratch with NumPy to recognize handwritten digit images.

Your deep learning model — one of the most basic artificial neural networks that resembles the original multi-layer perceptron — will learn to classify digits from 0 to 9 from the MNIST dataset. The dataset contains 60,000 training and 10,000 test images and corresponding labels. Each training and test image is of size 784 (or 28x28 pixels) — this will be your input for the neural network.

Based on the image inputs and their labels (supervised learning), your neural network will be trained to learn their features using forward propagation and backpropagation (reverse-mode differentiation). The final output of the network is a vector of 10 scores — one for each handwritten digit image. You will also evaluate how good your model is at classifying the images on the test set.

Diagram showing operations detailed in this tutorial (The input imageis passed into a Hidden layer that creates a weighted sum of outputs.The weighted sum is passed to the Non-linearity, then regularization andinto the output layer. The output layer creates a prediction which canthen be compared to existing data. The errors are used to calculate theloss function and update weights in the hidden layer and outputlayer.)

This tutorial was adapted from the work by Andrew Trask (with the author’s permission).

Prerequisites

The reader should have some knowledge of Python, NumPy array manipulation, and linear algebra. In addition, you should be familiar with main concepts of deep learning.

To refresh the memory, you can take the Python and Linear algebra on n-dimensional arrays tutorials.

You are advised to read the Deep learning paper published in 2015 by Yann LeCun, Yoshua Bengio, and Geoffrey Hinton, who are regarded as some of the pioneers of the field. You should also consider reading Andrew Trask’s Grokking Deep Learning, which teaches deep learning with NumPy.

In addition to NumPy, you will be utilizing the following Python standard modules for data loading and processing:

This tutorial can be run locally in an isolated environment, such as Virtualenv or conda. You can use Jupyter Notebook or JupyterLab to run each notebook cell. Don’t forget to set up NumPy and Matplotlib.

Table of contents

  1. Load the MNIST dataset

  2. Preprocess the dataset

  3. Build and train a small neural network from scratch

  4. Next steps

1. Load the MNIST dataset

In this section, you will download the zipped MNIST dataset files originally developed by Yann LeCun’s research team. (More details of the MNIST dataset are available on Kaggle.) Then, you will transform them into 4 files of NumPy array type using built-in Python modules. Finally, you will split the arrays into training and test sets.

1. Define a variable to store the training/test image/label names of the MNIST dataset in a list:

data_sources = {
+    "training_images": "train-images-idx3-ubyte.gz",  # 60,000 training images.
+    "test_images": "t10k-images-idx3-ubyte.gz",  # 10,000 test images.
+    "training_labels": "train-labels-idx1-ubyte.gz",  # 60,000 training labels.
+    "test_labels": "t10k-labels-idx1-ubyte.gz",  # 10,000 test labels.
+}

2. Load the data. First check if the data is stored locally; if not, then +download it.

import requests
+import os
+
+data_dir = "../_data"
+os.makedirs(data_dir, exist_ok=True)
+
+base_url = "https://ossci-datasets.s3.amazonaws.com/mnist/"
+
+for fname in data_sources.values():
+    fpath = os.path.join(data_dir, fname)
+    if not os.path.exists(fpath):
+        print("Downloading file: " + fname)
+        resp = requests.get(base_url + fname, stream=True, **request_opts)
+        resp.raise_for_status()  # Ensure download was succesful
+        with open(fpath, "wb") as fh:
+            for chunk in resp.iter_content(chunk_size=128):
+                fh.write(chunk)
Downloading file: train-images-idx3-ubyte.gz
+
Downloading file: t10k-images-idx3-ubyte.gz
+Downloading file: train-labels-idx1-ubyte.gz
+
Downloading file: t10k-labels-idx1-ubyte.gz
+

3. Decompress the 4 files and create 4 ndarrays, saving them into a dictionary. Each original image is of size 28x28 and neural networks normally expect a 1D vector input; therefore, you also need to reshape the images by multiplying 28 by 28 (784).

import gzip
+import numpy as np
+
+mnist_dataset = {}
+
+# Images
+for key in ("training_images", "test_images"):
+    with gzip.open(os.path.join(data_dir, data_sources[key]), "rb") as mnist_file:
+        mnist_dataset[key] = np.frombuffer(
+            mnist_file.read(), np.uint8, offset=16
+        ).reshape(-1, 28 * 28)
+# Labels
+for key in ("training_labels", "test_labels"):
+    with gzip.open(os.path.join(data_dir, data_sources[key]), "rb") as mnist_file:
+        mnist_dataset[key] = np.frombuffer(mnist_file.read(), np.uint8, offset=8)

4. Split the data into training and test sets using the standard notation of x for data and y for labels, calling the training and test set images x_train and x_test, and the labels y_train and y_test:

x_train, y_train, x_test, y_test = (
+    mnist_dataset["training_images"],
+    mnist_dataset["training_labels"],
+    mnist_dataset["test_images"],
+    mnist_dataset["test_labels"],
+)

5. You can confirm that the shape of the image arrays is (60000, 784) and (10000, 784) for training and test sets, respectively, and the labels — (60000,) and (10000,):

print(
+    "The shape of training images: {} and training labels: {}".format(
+        x_train.shape, y_train.shape
+    )
+)
+print(
+    "The shape of test images: {} and test labels: {}".format(
+        x_test.shape, y_test.shape
+    )
+)
The shape of training images: (60000, 784) and training labels: (60000,)
+The shape of test images: (10000, 784) and test labels: (10000,)
+

6. And you can inspect some images using Matplotlib:

import matplotlib.pyplot as plt
+
+# Take the 60,000th image (indexed at 59,999) from the training set,
+# reshape from (784, ) to (28, 28) to have a valid shape for displaying purposes.
+mnist_image = x_train[59999, :].reshape(28, 28)
+
+fig, ax = plt.subplots()
+# Set the color mapping to grayscale to have a black background.
+ax.imshow(mnist_image, cmap="gray")
<Figure size 640x480 with 1 Axes>
# Display 5 random images from the training set.
+num_examples = 5
+seed = 147197952744
+rng = np.random.default_rng(seed)
+
+fig, axes = plt.subplots(1, num_examples)
+for sample, ax in zip(rng.choice(x_train, size=num_examples, replace=False), axes):
+    ax.imshow(sample.reshape(28, 28), cmap="gray")
<Figure size 640x480 with 5 Axes>

Above are five images taken from the MNIST training set. Various hand-drawn +Arabic numerals are shown, with exact values chosen randomly with each run of the code.

Note: You can also visualize a sample image as an array by printing x_train[59999]. Here, 59999 is your 60,000th training image sample (0 would be your first). Your output will be quite long and should contain an array of 8-bit integers:

...
+         0,   0,  38,  48,  48,  22,   0,   0,   0,   0,   0,   0,   0,
+         0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,
+         0,  62,  97, 198, 243, 254, 254, 212,  27,   0,   0,   0,   0,
+...
# Display the label of the 60,000th image (indexed at 59,999) from the training set.
+y_train[59999]
np.uint8(8)

2. Preprocess the data

Neural networks can work with inputs that are in a form of tensors (multidimensional arrays) of floating-point type. When preprocessing the data, you should consider the following processes: vectorization and conversion to a floating-point format.

Since the MNIST data is already vectorized and the arrays are of dtype uint8, your next challenge is to convert them to a floating-point format, such as float64 (double-precision):

In practice, you can use different types of floating-point precision depending on your goals and you can find more information about that in the Nvidia and Google Cloud blog posts.

Convert the image data to the floating-point format

The images data contain 8-bit integers encoded in the [0, 255] interval with color values between 0 and 255.

You will normalize them into floating-point arrays in the [0, 1] interval by dividing them by 255.

1. Check that the vectorized image data has type uint8:

print("The data type of training images: {}".format(x_train.dtype))
+print("The data type of test images: {}".format(x_test.dtype))
The data type of training images: uint8
+The data type of test images: uint8
+

2. Normalize the arrays by dividing them by 255 (and thus promoting the data type from uint8 to float64) and then assign the train and test image data variables — x_train and x_test — to training_images and train_labels, respectively. +To reduce the model training and evaluation time in this example, only a subset +of the training and test images will be used. +Both training_images and test_images will contain only 1,000 samples each out +of the complete datasets of 60,000 and 10,000 images, respectively. +These values can be controlled by changing the training_sample and +test_sample below, up to their maximum values of 60,000 and 10,000.

training_sample, test_sample = 1000, 1000
+training_images = x_train[0:training_sample] / 255
+test_images = x_test[0:test_sample] / 255

3. Confirm that the image data has changed to the floating-point format:

print("The data type of training images: {}".format(training_images.dtype))
+print("The data type of test images: {}".format(test_images.dtype))
The data type of training images: float64
+The data type of test images: float64
+

Note: You can also check that normalization was successful by printing training_images[0] in a notebook cell. Your long output should contain an array of floating-point numbers:

...
+       0.        , 0.        , 0.01176471, 0.07058824, 0.07058824,
+       0.07058824, 0.49411765, 0.53333333, 0.68627451, 0.10196078,
+       0.65098039, 1.        , 0.96862745, 0.49803922, 0.        ,
+...

Convert the labels to floating point through categorical/one-hot encoding

You will use one-hot encoding to embed each digit label as an all-zero vector with np.zeros() and place 1 for a label index. As a result, your label data will be arrays with 1.0 (or 1.) in the position of each image label.

Since there are 10 labels (from 0 to 9) in total, your arrays will look similar to this:

array([0., 0., 0., 0., 0., 1., 0., 0., 0., 0.])

1. Confirm that the image label data are integers with dtype uint8:

print("The data type of training labels: {}".format(y_train.dtype))
+print("The data type of test labels: {}".format(y_test.dtype))
The data type of training labels: uint8
+The data type of test labels: uint8
+

2. Define a function that performs one-hot encoding on arrays:

def one_hot_encoding(labels, dimension=10):
+    # Define a one-hot variable for an all-zero vector
+    # with 10 dimensions (number labels from 0 to 9).
+    one_hot_labels = labels[..., None] == np.arange(dimension)[None]
+    # Return one-hot encoded labels.
+    return one_hot_labels.astype(np.float64)

3. Encode the labels and assign the values to new variables:

training_labels = one_hot_encoding(y_train[:training_sample])
+test_labels = one_hot_encoding(y_test[:test_sample])

4. Check that the data type has changed to floating point:

print("The data type of training labels: {}".format(training_labels.dtype))
+print("The data type of test labels: {}".format(test_labels.dtype))
The data type of training labels: float64
+The data type of test labels: float64
+

5. Examine a few encoded labels:

print(training_labels[0])
+print(training_labels[1])
+print(training_labels[2])
[0. 0. 0. 0. 0. 1. 0. 0. 0. 0.]
+[1. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
+[0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]
+

...and compare to the originals:

print(y_train[0])
+print(y_train[1])
+print(y_train[2])
5
+0
+4
+

You have finished preparing the dataset.

3. Build and train a small neural network from scratch

In this section you will familiarize yourself with some high-level concepts of the basic building blocks of a deep learning model. You can refer to the original Deep learning research publication for more information.

Afterwards, you will construct the building blocks of a simple deep learning model in Python and NumPy and train it to learn to identify handwritten digits from the MNIST dataset with a certain level of accuracy.

Neural network building blocks with NumPy

  • Layers: These building blocks work as data filters — they process data and learn representations from inputs to better predict the target outputs.

    You will use 1 hidden layer in your model to pass the inputs forward (forward propagation) and propagate the gradients/error derivatives of a loss function backward (backpropagation). These are input, hidden and output layers.

    In the hidden (middle) and output (last) layers, the neural network model will compute the weighted sum of inputs. To compute this process, you will use NumPy’s matrix multiplication function (the “dot multiply” or np.dot(layer, weights)).

    Note: For simplicity, the bias term is omitted in this example (there is no np.dot(layer, weights) + bias).

  • Weights: These are important adjustable parameters that the neural network fine-tunes by forward and backward propagating the data. They are optimized through a process called gradient descent. Before the model training starts, the weights are randomly initialized with NumPy’s Generator.random().

    The optimal weights should produce the highest prediction accuracy and the lowest error on the training and test sets.

  • Activation function: Deep learning models are capable of determining non-linear relationships between inputs and outputs and these non-linear functions are usually applied to the output of each layer.

    You will use a rectified linear unit (ReLU) to the hidden layer’s output (for example, relu(np.dot(layer, weights)).

  • Regularization: This technique helps prevent the neural network model from overfitting.

    In this example, you will use a method called dropout — dilution — that randomly sets a number of features in a layer to 0s. You will define it with NumPy’s Generator.integers() method and apply it to the hidden layer of the network.

  • Loss function: The computation determines the quality of predictions by comparing the image labels (the truth) with the predicted values in the final layer’s output.

    For simplicity, you will use a basic total squared error using NumPy’s np.sum() function (for example, np.sum((final_layer_output - image_labels) ** 2)).

  • Accuracy: This metric measures the accuracy of the network’s ability to predict on the data it hasn’t seen.

Model architecture and training summary

Here is a summary of the neural network model architecture and the training process:

Diagram showing operations detailed in this tutorial (The input imageis passed into a Hidden layer that creates a weighted sum of outputs.The weighted sum is passed to the Non-linearity, then regularization andinto the output layer. The output layer creates a prediction which canthen be compared to existing data. The errors are used to calculate theloss function and update weights in the hidden layer and outputlayer.)

  • The input layer:

    It is the input for the network — the previously preprocessed data that is loaded from training_images into layer_0.

  • The hidden (middle) layer:

    layer_1 takes the output from the previous layer and performs matrix-multiplication of the input by weights (weights_1) with NumPy’s np.dot()).

    Then, this output is passed through the ReLU activation function for non-linearity and then dropout is applied to help with overfitting.

  • The output (last) layer:

    layer_2 ingests the output from layer_1 and repeats the same “dot multiply” process with weights_2.

    The final output returns 10 scores for each of the 0-9 digit labels. The network model ends with a size 10 layer — a 10-dimensional vector.

  • Forward propagation, backpropagation, training loop:

    In the beginning of model training, your network randomly initializes the weights and feeds the input data forward through the hidden and output layers. This process is the forward pass or forward propagation.

    Then, the network propagates the “signal” from the loss function back through the hidden layer and adjusts the weights with the help of the learning rate parameter (more on that later).

Note: In more technical terms, you:

  1. Measure the error by comparing the real label of an image (the truth) with the prediction of the model.

  2. Differentiate the loss function.

  3. Ingest the gradients with the respect to the output, and backpropagate them with the respect to the inputs through the layer(s).

Since the network contains tensor operations and weight matrices, backpropagation uses the chain rule.

With each iteration (epoch) of the neural network training, this forward and backward propagation cycle adjusts the weights, which is reflected in the accuracy and error metrics. As you train the model, your goal is to minimize the error and maximize the accuracy on the training data, where the model learns from, as well as the test data, where you evaluate the model.

Compose the model and begin training and testing it

Having covered the main deep learning concepts and the neural network architecture, let’s write the code.

1. We’ll start by creating a new random number generator, providing a seed +for reproducibility:

seed = 884736743
+rng = np.random.default_rng(seed)

2. For the hidden layer, define the ReLU activation function for forward propagation and ReLU’s derivative that will be used during backpropagation:

# Define ReLU that returns the input if it's positive and 0 otherwise.
+def relu(x):
+    return (x >= 0) * x
+
+
+# Set up a derivative of the ReLU function that returns 1 for a positive input
+# and 0 otherwise.
+def relu2deriv(output):
+    return output >= 0

3. Set certain default values of hyperparameters, such as:

  • Learning rate: learning_rate — helps limit the magnitude of weight updates to prevent them from overcorrecting.

  • Epochs (iterations): epochs — the number of complete passes — forward and backward propagations — of the data through the network. This parameter can positively or negatively affect the results. The higher the iterations, the longer the learning process may take. Because this is a computationally intensive task, we have chosen a very low number of epochs (20). To get meaningful results, you should choose a much larger number.

  • Size of the hidden (middle) layer in a network: hidden_size — different sizes of the hidden layer can affect the results during training and testing.

  • Size of the input: pixels_per_image — you have established that the image input is 784 (28x28) (in pixels).

  • Number of labels: num_labels — indicates the output number for the output layer where the predictions occur for 10 (0 to 9) handwritten digit labels.

learning_rate = 0.005
+epochs = 20
+hidden_size = 100
+pixels_per_image = 784
+num_labels = 10

4. Initialize the weight vectors that will be used in the hidden and output layers with random values:

weights_1 = 0.2 * rng.random((pixels_per_image, hidden_size)) - 0.1
+weights_2 = 0.2 * rng.random((hidden_size, num_labels)) - 0.1

5. Set up the neural network’s learning experiment with a training loop and start the training process. +Note that the model is evaluated against the test set at each epoch to track +its performance over the training epochs.

Start the training process:

# To store training and test set losses and accurate predictions
+# for visualization.
+store_training_loss = []
+store_training_accurate_pred = []
+store_test_loss = []
+store_test_accurate_pred = []
+
+# This is a training loop.
+# Run the learning experiment for a defined number of epochs (iterations).
+for j in range(epochs):
+
+    #################
+    # Training step #
+    #################
+
+    # Set the initial loss/error and the number of accurate predictions to zero.
+    training_loss = 0.0
+    training_accurate_predictions = 0
+
+    # For all images in the training set, perform a forward pass
+    # and backpropagation and adjust the weights accordingly.
+    for i in range(len(training_images)):
+        # Forward propagation/forward pass:
+        # 1. The input layer:
+        #    Initialize the training image data as inputs.
+        layer_0 = training_images[i]
+        # 2. The hidden layer:
+        #    Take in the training image data into the middle layer by
+        #    matrix-multiplying it by randomly initialized weights.
+        layer_1 = np.dot(layer_0, weights_1)
+        # 3. Pass the hidden layer's output through the ReLU activation function.
+        layer_1 = relu(layer_1)
+        # 4. Define the dropout function for regularization.
+        dropout_mask = rng.integers(low=0, high=2, size=layer_1.shape)
+        # 5. Apply dropout to the hidden layer's output.
+        layer_1 *= dropout_mask * 2
+        # 6. The output layer:
+        #    Ingest the output of the middle layer into the the final layer
+        #    by matrix-multiplying it by randomly initialized weights.
+        #    Produce a 10-dimension vector with 10 scores.
+        layer_2 = np.dot(layer_1, weights_2)
+
+        # Backpropagation/backward pass:
+        # 1. Measure the training error (loss function) between the actual
+        #    image labels (the truth) and the prediction by the model.
+        training_loss += np.sum((training_labels[i] - layer_2) ** 2)
+        # 2. Increment the accurate prediction count.
+        training_accurate_predictions += int(
+            np.argmax(layer_2) == np.argmax(training_labels[i])
+        )
+        # 3. Differentiate the loss function/error.
+        layer_2_delta = training_labels[i] - layer_2
+        # 4. Propagate the gradients of the loss function back through the hidden layer.
+        layer_1_delta = np.dot(weights_2, layer_2_delta) * relu2deriv(layer_1)
+        # 5. Apply the dropout to the gradients.
+        layer_1_delta *= dropout_mask
+        # 6. Update the weights for the middle and input layers
+        #    by multiplying them by the learning rate and the gradients.
+        weights_1 += learning_rate * np.outer(layer_0, layer_1_delta)
+        weights_2 += learning_rate * np.outer(layer_1, layer_2_delta)
+
+    # Store training set losses and accurate predictions.
+    store_training_loss.append(training_loss)
+    store_training_accurate_pred.append(training_accurate_predictions)
+
+    ###################
+    # Evaluation step #
+    ###################
+
+    # Evaluate model performance on the test set at each epoch.
+
+    # Unlike the training step, the weights are not modified for each image
+    # (or batch). Therefore the model can be applied to the test images in a
+    # vectorized manner, eliminating the need to loop over each image
+    # individually:
+
+    results = relu(test_images @ weights_1) @ weights_2
+
+    # Measure the error between the actual label (truth) and prediction values.
+    test_loss = np.sum((test_labels - results) ** 2)
+
+    # Measure prediction accuracy on test set
+    test_accurate_predictions = np.sum(
+        np.argmax(results, axis=1) == np.argmax(test_labels, axis=1)
+    )
+
+    # Store test set losses and accurate predictions.
+    store_test_loss.append(test_loss)
+    store_test_accurate_pred.append(test_accurate_predictions)
+
+    # Summarize error and accuracy metrics at each epoch
+    print(
+        (
+            f"Epoch: {j}\n"
+            f"  Training set error: {training_loss / len(training_images):.3f}\n"
+            f"  Training set accuracy: {training_accurate_predictions / len(training_images)}\n"
+            f"  Test set error: {test_loss / len(test_images):.3f}\n"
+            f"  Test set accuracy: {test_accurate_predictions / len(test_images)}"
+        )
+    )
Epoch: 0
+  Training set error: 0.898
+  Training set accuracy: 0.397
+  Test set error: 0.680
+  Test set accuracy: 0.582
+
Epoch: 1
+  Training set error: 0.656
+  Training set accuracy: 0.633
+  Test set error: 0.607
+  Test set accuracy: 0.641
+
Epoch: 2
+  Training set error: 0.592
+  Training set accuracy: 0.68
+  Test set error: 0.569
+  Test set accuracy: 0.679
+
Epoch: 3
+  Training set error: 0.556
+  Training set accuracy: 0.7
+  Test set error: 0.541
+  Test set accuracy: 0.708
+
Epoch: 4
+  Training set error: 0.534
+  Training set accuracy: 0.732
+  Test set error: 0.526
+  Test set accuracy: 0.729
+
Epoch: 5
+  Training set error: 0.515
+  Training set accuracy: 0.715
+  Test set error: 0.500
+  Test set accuracy: 0.739
+
Epoch: 6
+  Training set error: 0.495
+  Training set accuracy: 0.748
+  Test set error: 0.487
+  Test set accuracy: 0.753
+
Epoch: 7
+  Training set error: 0.483
+  Training set accuracy: 0.769
+  Test set error: 0.486
+  Test set accuracy: 0.747
+
Epoch: 8
+  Training set error: 0.473
+  Training set accuracy: 0.776
+  Test set error: 0.473
+  Test set accuracy: 0.752
+
Epoch: 9
+  Training set error: 0.460
+  Training set accuracy: 0.788
+  Test set error: 0.462
+  Test set accuracy: 0.762
+
Epoch: 10
+  Training set error: 0.465
+  Training set accuracy: 0.769
+  Test set error: 0.462
+  Test set accuracy: 0.767
+
Epoch: 11
+  Training set error: 0.443
+  Training set accuracy: 0.801
+  Test set error: 0.456
+  Test set accuracy: 0.775
+
Epoch: 12
+  Training set error: 0.448
+  Training set accuracy: 0.795
+  Test set error: 0.455
+  Test set accuracy: 0.772
+
Epoch: 13
+  Training set error: 0.438
+  Training set accuracy: 0.787
+  Test set error: 0.453
+  Test set accuracy: 0.778
+
Epoch: 14
+  Training set error: 0.446
+  Training set accuracy: 0.791
+  Test set error: 0.450
+  Test set accuracy: 0.779
+
Epoch: 15
+  Training set error: 0.441
+  Training set accuracy: 0.788
+  Test set error: 0.452
+  Test set accuracy: 0.772
+
Epoch: 16
+  Training set error: 0.437
+  Training set accuracy: 0.786
+  Test set error: 0.453
+  Test set accuracy: 0.772
+
Epoch: 17
+  Training set error: 0.436
+  Training set accuracy: 0.794
+  Test set error: 0.449
+  Test set accuracy: 0.778
+
Epoch: 18
+  Training set error: 0.433
+  Training set accuracy: 0.801
+  Test set error: 0.450
+  Test set accuracy: 0.774
+
Epoch: 19
+  Training set error: 0.429
+  Training set accuracy: 0.785
+  Test set error: 0.436
+  Test set accuracy: 0.784
+

The training process may take many minutes, depending on a number of factors, such as the processing power of the machine you are running the experiment on and the number of epochs. To reduce the waiting time, you can change the epoch (iteration) variable from 100 to a lower number, reset the runtime (which will reset the weights), and run the notebook cells again.

After executing the cell above, you can visualize the training and test set errors and accuracy for an instance of this training process.

epoch_range = np.arange(epochs) + 1  # Starting from 1
+
+# The training set metrics.
+training_metrics = {
+    "accuracy": np.asarray(store_training_accurate_pred) / len(training_images),
+    "error": np.asarray(store_training_loss) / len(training_images),
+}
+
+# The test set metrics.
+test_metrics = {
+    "accuracy": np.asarray(store_test_accurate_pred) / len(test_images),
+    "error": np.asarray(store_test_loss) / len(test_images),
+}
+
+# Display the plots.
+fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(15, 5))
+for ax, metrics, title in zip(
+    axes, (training_metrics, test_metrics), ("Training set", "Test set")
+):
+    # Plot the metrics
+    for metric, values in metrics.items():
+        ax.plot(epoch_range, values, label=metric.capitalize())
+    ax.set_title(title)
+    ax.set_xlabel("Epochs")
+    ax.legend()
<Figure size 1500x500 with 2 Axes>

The training and testing error is shown above in the left and right +plots, respectively. As the number of Epochs increases, the total error +decreases and the accuracy increases.

The accuracy rates that your model reaches during training and testing may be somewhat plausible but you may also find the error rates to be quite high.

To reduce the error during training and testing, you can consider changing the simple loss function to, for example, categorical cross-entropy. Other possible solutions are discussed below.

Next steps

You have learned how to build and train a simple feed-forward neural network from scratch using just NumPy to classify handwritten MNIST digits.

To further enhance and optimize your neural network model, you can consider one of a mixture of the following:

Building a neural network from scratch with NumPy is a great way to learn more about NumPy and about deep learning. However, for real-world applications you should use specialized frameworks — such as PyTorch, JAX, TensorFlow or MXNet — that provide NumPy-like APIs, have built-in automatic differentiation and GPU support, and are designed for high-performance numerical computing and machine learning.

Finally, when developing a machine learning model, you should think about potential ethical issues and apply practices to avoid or mitigate those:

(Credit to hsjeong5 for demonstrating how to download MNIST without the use of external libraries.)

References
  1. Mitchell, M., Wu, S., Zaldivar, A., Barnes, P., Vasserman, L., Hutchinson, B., Spitzer, E., Raji, I. D., & Gebru, T. (2019). Model Cards for Model Reporting. Proceedings of the Conference on Fairness, Accountability, and Transparency, 220–229. 10.1145/3287560.3287596
Applications
Moore's Law
Applications
X-ray image processing
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We also skip the first 6\nrows of this file, since they contain other data we are not interested in. Separately, we will extract the information about dates and location for this data.","position":{"start":{"line":86,"column":1},"end":{"line":86,"column":1}},"key":"nnEMJehP9G"}],"key":"m3Tz9TAKWw"}],"key":"Vo2SHdOezX"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"# Note we are using skip_header and usecols to read only portions of the\n# data file into each variable.\n# Read just the dates for columns 4-18 from the first row\ndates = np.genfromtxt(\n filename,\n dtype=np.str_,\n delimiter=\",\",\n max_rows=1,\n usecols=range(4, 18),\n encoding=\"utf-8-sig\",\n)\n# Read the names of the geographic locations from the first two\n# columns, skipping the first six rows\nlocations = np.genfromtxt(\n filename,\n dtype=np.str_,\n delimiter=\",\",\n skip_header=6,\n usecols=(0, 1),\n encoding=\"utf-8-sig\",\n)\n# Read the numeric data from just the first 14 days\nnbcases = np.genfromtxt(\n filename,\n dtype=np.int_,\n delimiter=\",\",\n skip_header=6,\n usecols=range(4, 18),\n encoding=\"utf-8-sig\",\n)","key":"aneBQRPgnm"},{"type":"outputs","id":"3Bdc8V_mb_3bBgTaw1k0S","children":[],"key":"HEb9aMwTpU"}],"key":"moRMRRzq9n"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"children":[{"type":"text","value":"Included in the ","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"yJjdj5sgRK"},{"type":"inlineCode","value":"numpy.genfromtxt","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"RAGtGdZ6PR"},{"type":"text","value":" function call, we have selected the ","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"FWfCHE6Xge"},{"type":"link","url":"https://numpy.org/devdocs/reference/generated/numpy.dtype.html#numpy.dtype","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"children":[{"type":"text","value":"numpy.dtype","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"cnqlr4yVos"}],"urlSource":"https://numpy.org/devdocs/reference/generated/numpy.dtype.html#numpy.dtype","key":"OBVNoSVLg6"},{"type":"text","value":" for each subset of the data (either an integer - ","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"ZjExSoKw4E"},{"type":"inlineCode","value":"numpy.int_","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"amPpUBKjIi"},{"type":"text","value":" - or a string of characters - ","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"WGqlx9JoQx"},{"type":"inlineCode","value":"numpy.str_","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"AEaDpgVxDH"},{"type":"text","value":"). 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You can read more about the ","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"FrCROp5jJQ"},{"type":"inlineCode","value":"numpy.genfromtxt","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"tIn7mITnGn"},{"type":"text","value":" function from the ","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"EiahKDTIOU"},{"type":"link","url":"https://numpy.org/devdocs/reference/generated/numpy.genfromtxt.html#numpy.genfromtxt","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"children":[{"type":"text","value":"Reference Documentation","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"SPrd6C3m7B"}],"urlSource":"https://numpy.org/devdocs/reference/generated/numpy.genfromtxt.html#numpy.genfromtxt","key":"O9LD6Mg9eB"},{"type":"text","value":" or from the ","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"acMYwINQD3"},{"type":"link","url":"https://numpy.org/devdocs/user/basics.io.genfromtxt.html","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"children":[{"type":"text","value":"Basic IO tutorial","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"ZStjzJTVzk"}],"urlSource":"https://numpy.org/devdocs/user/basics.io.genfromtxt.html","key":"wil8ZU2E6G"},{"type":"text","value":".","position":{"start":{"line":122,"column":1},"end":{"line":122,"column":1}},"key":"Hl8wsgC2yP"}],"key":"R36uTuMUMk"}],"key":"KYfb51qHnq"},{"type":"block","position":{"start":{"line":124,"column":1},"end":{"line":124,"column":1}},"children":[{"type":"heading","depth":2,"position":{"start":{"line":126,"column":1},"end":{"line":126,"column":1}},"children":[{"type":"text","value":"Exploring the data","position":{"start":{"line":126,"column":1},"end":{"line":126,"column":1}},"key":"OR6FQpqtWd"}],"identifier":"exploring-the-data","label":"Exploring the data","html_id":"exploring-the-data","implicit":true,"key":"eZKY2cuhsz"},{"type":"paragraph","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"children":[{"type":"text","value":"First of all, we can plot the whole set of data we have and see what it looks like. In order to get a readable plot, we select only a few of the dates to show in our ","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"O4Eft4xqYJ"},{"type":"link","url":"https://matplotlib.org/api/_as_gen/matplotlib.pyplot.xticks.html#matplotlib.pyplot.xticks","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"children":[{"type":"text","value":"x-axis ticks","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"U6SWBAcHQr"}],"urlSource":"https://matplotlib.org/api/_as_gen/matplotlib.pyplot.xticks.html#matplotlib.pyplot.xticks","key":"yWeYbPH2Db"},{"type":"text","value":". Note also that in our plot command, we use ","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"Gd0xvlwCHs"},{"type":"inlineCode","value":"nbcases.T","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"RCs4rZ5eg5"},{"type":"text","value":" (the transpose of the ","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"wUyMhG0RAw"},{"type":"inlineCode","value":"nbcases","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"DYDhAGDIFz"},{"type":"text","value":" array) since this means we will plot each row of the file as a separate line. We choose to plot a dashed line (using the ","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"TvIzDXo3x7"},{"type":"inlineCode","value":"'--'","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"OBQZffqhDd"},{"type":"text","value":" line style). See the ","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"levyKeL7Yu"},{"type":"link","url":"https://matplotlib.org/","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"children":[{"type":"text","value":"matplotlib","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"ugdzARTPZs"}],"urlSource":"https://matplotlib.org/","key":"xO6Dz1dbok"},{"type":"text","value":" documentation for more info on this.","position":{"start":{"line":128,"column":1},"end":{"line":128,"column":1}},"key":"GWFMjvjxTq"}],"key":"uVtWLnFuXX"}],"key":"rzRl1TSNJi"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"import matplotlib.pyplot as plt\n\nselected_dates = [0, 3, 11, 13]\n\nfig, ax = plt.subplots()\nax.plot(dates, nbcases.T, \"--\")\nax.set_xticks(selected_dates, dates[selected_dates])\nax.set_title(\"COVID-19 cumulative cases from Jan 21 to Feb 3 2020\")","key":"L4KPu8zr4p"},{"type":"outputs","id":"hXeOSFyl8mGCrgjXif6fS","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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If we look at the ","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"MqttbOSCg7"},{"type":"inlineCode","value":"locations","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"FzrYvxhe42"},{"type":"text","value":" array we extracted from the ","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"n0j6xMB43G"},{"type":"inlineCode","value":".csv","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"KGwLp54Ix4"},{"type":"text","value":" file, we can see that we have two columns, where the first would contain regions and the second would contain the name of the country. However, only the first few rows contain data for the the first column (province names in China). Following that, we only have country names. So it would make sense to group all the data from China into a single row. For this, we’ll select from the ","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"yLKA8zlXCe"},{"type":"inlineCode","value":"nbcases","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"ItwfjS2z91"},{"type":"text","value":" array only the rows for which the second entry of the ","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"H5V8aK2akH"},{"type":"inlineCode","value":"locations","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"MuPXL9BWsz"},{"type":"text","value":" array corresponds to China. Next, we’ll use the ","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"zg3Zi0Fypz"},{"type":"link","url":"https://numpy.org/devdocs/reference/generated/numpy.sum.html#numpy.sum","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"children":[{"type":"text","value":"numpy.sum","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"rlRsUfKmZD"}],"urlSource":"https://numpy.org/devdocs/reference/generated/numpy.sum.html#numpy.sum","key":"qXRMHWHGNF"},{"type":"text","value":" function to sum all the selected rows (","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"iZuABks7V0"},{"type":"inlineCode","value":"axis=0","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"QfFqnw7uat"},{"type":"text","value":"). Note also that row 35 corresponds to the total counts for the whole country for each date. Since we want to calculate the sum ourselves from the provinces data, we have to remove that row first from both ","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"XpV42vbbuh"},{"type":"inlineCode","value":"locations","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"WtMrZwG25b"},{"type":"text","value":" and ","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"ziGcLysejE"},{"type":"inlineCode","value":"nbcases","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"gDnyiMvV4b"},{"type":"text","value":":","position":{"start":{"line":141,"column":1},"end":{"line":141,"column":1}},"key":"hx13NDQKp2"}],"key":"uIXPOODGvC"}],"key":"ADLnZolnQy"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"totals_row = 35\nlocations = np.delete(locations, (totals_row), axis=0)\nnbcases = np.delete(nbcases, (totals_row), axis=0)\n\nchina_total = nbcases[locations[:, 1] == \"China\"].sum(axis=0)\nchina_total","key":"sNWerJc6W5"},{"type":"outputs","id":"4ESkLRgsIuLgD1mbJ9f1A","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":4,"metadata":{},"data":{"text/plain":{"content":"array([ 247, 288, 556, 817, -22, -22, -15, -10, -9,\n -7, -4, 11820, 14410, 17237])","content_type":"text/plain"}}},"key":"wPxNI3GGG3"}],"key":"LlKBppux4R"}],"key":"YNFThK7AiZ"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"children":[{"type":"text","value":"Something’s wrong with this data - we are not supposed to have negative values in a cumulative data set. What’s going on?","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"key":"zIa6s3ZDiq"}],"key":"k7FueggLDm"}],"key":"BNZWol5H5A"},{"type":"block","position":{"start":{"line":154,"column":1},"end":{"line":154,"column":1}},"children":[{"type":"heading","depth":2,"position":{"start":{"line":156,"column":1},"end":{"line":156,"column":1}},"children":[{"type":"text","value":"Missing data","position":{"start":{"line":156,"column":1},"end":{"line":156,"column":1}},"key":"ASgnsTPZwC"}],"identifier":"missing-data","label":"Missing data","html_id":"missing-data","implicit":true,"key":"JM4tbYfMiH"},{"type":"paragraph","position":{"start":{"line":158,"column":1},"end":{"line":158,"column":1}},"children":[{"type":"text","value":"Looking at the data, here’s what we find: there is a period with ","position":{"start":{"line":158,"column":1},"end":{"line":158,"column":1}},"key":"Q4y5TewLz6"},{"type":"strong","position":{"start":{"line":158,"column":1},"end":{"line":158,"column":1}},"children":[{"type":"text","value":"missing data","position":{"start":{"line":158,"column":1},"end":{"line":158,"column":1}},"key":"vxNidvC1Ut"}],"key":"fLDkAqb2kX"},{"type":"text","value":":","position":{"start":{"line":158,"column":1},"end":{"line":158,"column":1}},"key":"Ybw9THRhSC"}],"key":"B7LJuuws2M"}],"key":"NDgtz8pufe"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"nbcases","key":"m0eas7vUkK"},{"type":"outputs","id":"bApvnRcnM4E6tekpy1Sgp","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":5,"metadata":{},"data":{"text/plain":{"content":"array([[ 258, 270, 375, ..., 7153, 9074, 11177],\n [ 14, 17, 26, ..., 520, 604, 683],\n [ -1, 1, 1, ..., 422, 493, 566],\n ...,\n [ -1, -1, -1, ..., -1, -1, -1],\n [ -1, -1, -1, ..., -1, -1, -1],\n [ -1, -1, -1, ..., -1, -1, -1]], shape=(263, 14))","content_type":"text/plain"}}},"key":"EG1GTvCAE7"}],"key":"S6ueULbCC3"}],"key":"OSgxDmKH0V"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":164,"column":1},"end":{"line":165,"column":1}},"children":[{"type":"text","value":"All the ","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"DSLVmtuOJH"},{"type":"inlineCode","value":"-1","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"Jq3M7ECh0y"},{"type":"text","value":" values we are seeing come from ","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"paGGRKZpr4"},{"type":"inlineCode","value":"numpy.genfromtxt","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"eV6xKW9xF7"},{"type":"text","value":" attempting to read missing data from the original ","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"TtE7XfjA4B"},{"type":"inlineCode","value":".csv","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"Bn607uPULk"},{"type":"text","value":" file. Obviously, we\ndon’t want to compute missing data as ","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"mYOj5o7953"},{"type":"inlineCode","value":"-1","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"SiNyXQDXTN"},{"type":"text","value":" - we just want to skip this value so it doesn’t interfere in our analysis. After importing the ","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"Nj25HHWxbA"},{"type":"inlineCode","value":"numpy.ma","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"D29vyUM9rl"},{"type":"text","value":" module, we’ll create a new array, this time masking the invalid values:","position":{"start":{"line":164,"column":1},"end":{"line":164,"column":1}},"key":"BEeP2qp4ec"}],"key":"jQMXAmHM6k"}],"key":"khXPca6Hfp"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"from numpy import ma\n\nnbcases_ma = ma.masked_values(nbcases, -1)","key":"n6P8LKLTJc"},{"type":"outputs","id":"uUWn9L_lYnaQfxfqe6-zZ","children":[],"key":"QvejjfzNau"}],"key":"u3UhS9HwHX"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":173,"column":1},"end":{"line":173,"column":1}},"children":[{"type":"text","value":"If we look at the ","position":{"start":{"line":173,"column":1},"end":{"line":173,"column":1}},"key":"PkrBwauYvZ"},{"type":"inlineCode","value":"nbcases_ma","position":{"start":{"line":173,"column":1},"end":{"line":173,"column":1}},"key":"CosoHcOIrA"},{"type":"text","value":" masked array, this is what we have:","position":{"start":{"line":173,"column":1},"end":{"line":173,"column":1}},"key":"kGoSmMsV8t"}],"key":"PGFWKLRzZf"}],"key":"VmzxnYPbGZ"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"nbcases_ma","key":"IIQErKuxRD"},{"type":"outputs","id":"E0gHsBcVUX2WrBwUax0zi","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":7,"metadata":{},"data":{"text/plain":{"content":"masked_array(\n data=[[258, 270, 375, ..., 7153, 9074, 11177],\n [14, 17, 26, ..., 520, 604, 683],\n [--, 1, 1, ..., 422, 493, 566],\n ...,\n [--, --, --, ..., --, --, --],\n [--, --, --, ..., --, --, --],\n [--, --, --, ..., --, --, --]],\n mask=[[False, False, False, ..., False, False, False],\n [False, False, False, ..., False, False, False],\n [ True, False, False, ..., False, False, False],\n ...,\n [ True, True, True, ..., True, True, True],\n [ True, True, True, ..., True, True, True],\n [ True, True, True, ..., True, True, True]],\n fill_value=-1)","content_type":"text/plain"}}},"key":"DaGFRF6jDT"}],"key":"okbqCAK1Fw"}],"key":"k2tHiqiIhr"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":179,"column":1},"end":{"line":180,"column":1}},"children":[{"type":"text","value":"We can see that this is a different kind of array. As mentioned in the introduction, it has three attributes (","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"odl5WTmIAu"},{"type":"inlineCode","value":"data","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"sCJxi0z6LU"},{"type":"text","value":", ","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"dlrbXvdSlc"},{"type":"inlineCode","value":"mask","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"qDumE7EwWz"},{"type":"text","value":" and ","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"R6JFowdZfC"},{"type":"inlineCode","value":"fill_value","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"HVB9D7zvT4"},{"type":"text","value":").\nKeep in mind that the ","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"uCdyFZanFZ"},{"type":"inlineCode","value":"mask","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"IlpxCRhhbD"},{"type":"text","value":" attribute has a ","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"g11eSVSz2h"},{"type":"inlineCode","value":"True","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"CJGpJSCBTy"},{"type":"text","value":" value for elements corresponding to ","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"rjwjueOYtZ"},{"type":"strong","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"children":[{"type":"text","value":"invalid","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"tdqCIOFoqE"}],"key":"R9BIsJ8Rdu"},{"type":"text","value":" data (represented by two dashes in the ","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"skOpEr5JrO"},{"type":"inlineCode","value":"data","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"y2qysTff3E"},{"type":"text","value":" attribute).","position":{"start":{"line":179,"column":1},"end":{"line":179,"column":1}},"key":"Gn1uk3ePhR"}],"key":"DNoYe57B3S"}],"key":"MYH2UqXLyO"},{"type":"block","position":{"start":{"line":182,"column":1},"end":{"line":182,"column":1}},"children":[{"type":"paragraph","position":{"start":{"line":184,"column":1},"end":{"line":185,"column":1}},"children":[{"type":"text","value":"Let’s try and see what the data looks like excluding the first row (data from the Hubei province in China) so we can look at the missing data more\nclosely:","position":{"start":{"line":184,"column":1},"end":{"line":184,"column":1}},"key":"eBgRFcWEzS"}],"key":"f8em4NaBVJ"}],"key":"gv4YWgxtKX"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"fig, ax = plt.subplots()\nax.plot(dates, nbcases_ma[1:].T, \"--\")\nax.set_xticks(selected_dates, dates[selected_dates])\nax.set_title(\"COVID-19 cumulative cases from Jan 21 to Feb 3 2020\")","key":"Oyu4lA0szZ"},{"type":"outputs","id":"OnmFem7UI9BNWiST7L07E","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"613f065b167d8d181b5dc5e1173b74db","path":"/numpy-tutorials/build/613f065b167d8d181b5dc5e1173b74db.png"}}},"key":"b5XnyYy8fS"}],"key":"njbB3aWx3v"}],"key":"RpADBWcKLw"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":194,"column":1},"end":{"line":194,"column":1}},"children":[{"type":"text","value":"Now that our data has been masked, let’s try summing up all the cases in China:","position":{"start":{"line":194,"column":1},"end":{"line":194,"column":1}},"key":"N2hKGYcCqS"}],"key":"ynl68m9uCU"}],"key":"LiuUGQeeOs"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"china_masked = nbcases_ma[locations[:, 1] == \"China\"].sum(axis=0)\nchina_masked","key":"JUeQ9XLIk6"},{"type":"outputs","id":"w41J1ltChiRKSDNChsDCh","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":9,"metadata":{},"data":{"text/plain":{"content":"masked_array(data=[278, 309, 574, 835, 10, 10, 17, 22, 23, 25, 28, 11821,\n 14411, 17238],\n mask=[False, False, False, False, False, False, False, False,\n False, False, False, False, False, False],\n fill_value=999999)","content_type":"text/plain"}}},"key":"efmkSqJISE"}],"key":"AbFFhgBhV3"}],"key":"w4PiJASbRC"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":201,"column":1},"end":{"line":201,"column":1}},"children":[{"type":"text","value":"Note that ","position":{"start":{"line":201,"column":1},"end":{"line":201,"column":1}},"key":"SfN35vUo3i"},{"type":"inlineCode","value":"china_masked","position":{"start":{"line":201,"column":1},"end":{"line":201,"column":1}},"key":"c33aX5blqL"},{"type":"text","value":" is a masked array, so it has a different data structure than a regular NumPy array. Now, we can access its data directly by using the ","position":{"start":{"line":201,"column":1},"end":{"line":201,"column":1}},"key":"SaKzUOo9Ei"},{"type":"inlineCode","value":".data","position":{"start":{"line":201,"column":1},"end":{"line":201,"column":1}},"key":"BVr0B0gHul"},{"type":"text","value":" attribute:","position":{"start":{"line":201,"column":1},"end":{"line":201,"column":1}},"key":"ScODMdXQBc"}],"key":"Ig2uklqRyb"}],"key":"ExPzY71jhm"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"china_total = china_masked.data\nchina_total","key":"JIJcEKa4Hh"},{"type":"outputs","id":"E0hc4TSfgZt-7-LY89XoH","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":10,"metadata":{},"data":{"text/plain":{"content":"array([ 278, 309, 574, 835, 10, 10, 17, 22, 23,\n 25, 28, 11821, 14411, 17238])","content_type":"text/plain"}}},"key":"L6tdXrpdnK"}],"key":"ugCHIb56fB"}],"key":"eqxoky7z0N"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":208,"column":1},"end":{"line":208,"column":1}},"children":[{"type":"text","value":"That is better: no more negative values. However, we can still see that for some days, the cumulative number of cases seems to go down (from 835 to 10, for example), which does not agree with the definition of “cumulative data”. If we look more closely at the data, we can see that in the period where there was missing data in mainland China, there was valid data for Hong Kong, Taiwan, Macau and “Unspecified” regions of China. Maybe we can remove those from the total sum of cases in China, to get a better understanding of the data.","position":{"start":{"line":208,"column":1},"end":{"line":208,"column":1}},"key":"PAXfFxAWqW"}],"key":"COa4PNTgzn"},{"type":"paragraph","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"children":[{"type":"text","value":"First, we’ll identify the indices of locations in mainland China:","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"JAUnGdv3FD"}],"key":"ohNTAj8vn2"}],"key":"AA7xDQMTuX"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"china_mask = (\n (locations[:, 1] == \"China\")\n & (locations[:, 0] != \"Hong Kong\")\n & (locations[:, 0] != \"Taiwan\")\n & (locations[:, 0] != \"Macau\")\n & (locations[:, 0] != \"Unspecified*\")\n)","key":"GUgpToD48w"},{"type":"outputs","id":"EgxOi8i9Xccvlt65bECD2","children":[],"key":"FkM8DFl2NT"}],"key":"c2kHlxA4A7"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"children":[{"type":"text","value":"Now, ","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"key":"CGl3voummA"},{"type":"inlineCode","value":"china_mask","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"key":"QsvmhpkzGG"},{"type":"text","value":" is an array of boolean values (","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"key":"gQkOfbeEdx"},{"type":"inlineCode","value":"True","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"key":"udLFk5DLuO"},{"type":"text","value":" or ","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"key":"AoiHrGbFkv"},{"type":"inlineCode","value":"False","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"key":"KrMwUawGSq"},{"type":"text","value":"); we can check that the indices are what we wanted with the ","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"key":"vMn68iVnoE"},{"type":"link","url":"https://numpy.org/devdocs/reference/generated/numpy.ma.nonzero.html#numpy.ma.nonzero","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"children":[{"type":"text","value":"ma.nonzero","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"key":"FNvum31amv"}],"urlSource":"https://numpy.org/devdocs/reference/generated/numpy.ma.nonzero.html#numpy.ma.nonzero","key":"hXDuw7tkvE"},{"type":"text","value":" method for masked arrays:","position":{"start":{"line":222,"column":1},"end":{"line":222,"column":1}},"key":"ACYK67pIGT"}],"key":"neNgrU9GSc"}],"key":"zezNfAsccc"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"china_mask.nonzero()","key":"Z1wI1QhYVK"},{"type":"outputs","id":"SSjehsND5lCRjpj-9wLDe","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":12,"metadata":{},"data":{"text/plain":{"content":"(array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,\n 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 33]),)","content_type":"text/plain"}}},"key":"gcW7vHx15Y"}],"key":"NcUOilAwmW"}],"key":"c3NDITxXI4"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":228,"column":1},"end":{"line":228,"column":1}},"children":[{"type":"text","value":"Now we can correctly sum entries for mainland China:","position":{"start":{"line":228,"column":1},"end":{"line":228,"column":1}},"key":"cS39mQG1pS"}],"key":"rYmQE06UQ7"}],"key":"n5rYq8RNma"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"china_total = nbcases_ma[china_mask].sum(axis=0)\nchina_total","key":"SNCyRYbfXs"},{"type":"outputs","id":"kFN7Qkvl5KVrVXE8t1zBm","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":13,"metadata":{},"data":{"text/plain":{"content":"masked_array(data=[278, 308, 440, 446, --, --, --, --, --, --, --, 11791,\n 14380, 17205],\n mask=[False, False, False, False, True, True, True, True,\n True, True, True, False, False, False],\n fill_value=999999)","content_type":"text/plain"}}},"key":"B7KLbSft3H"}],"key":"yXf9A07gjs"}],"key":"AIhB1xRM2l"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":235,"column":1},"end":{"line":235,"column":1}},"children":[{"type":"text","value":"We can replace the data with this information and plot a new graph, focusing on Mainland China:","position":{"start":{"line":235,"column":1},"end":{"line":235,"column":1}},"key":"MOTFpf79wo"}],"key":"CqPPDuCLEh"}],"key":"bJkrnkRhtf"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"fig, ax = plt.subplots()\nax.plot(dates, china_total.T, \"--\")\nax.set_xticks(selected_dates, dates[selected_dates])\nax.set_title(\"COVID-19 cumulative cases from Jan 21 to Feb 3 2020 - Mainland China\")","key":"fLgNQPw0hW"},{"type":"outputs","id":"z9ZPh7E5c47tVJsvRRLo7","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"9c07c4f86dd02b243a8eec9094bc14fc","path":"/numpy-tutorials/build/9c07c4f86dd02b243a8eec9094bc14fc.png"}}},"key":"W6r91ZuUdn"}],"key":"AIP9kGVKgn"}],"key":"y0xqdPHyMh"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":244,"column":1},"end":{"line":244,"column":1}},"children":[{"type":"text","value":"It’s clear that masked arrays are the right solution here. We cannot represent the missing data without mischaracterizing the evolution of the curve.","position":{"start":{"line":244,"column":1},"end":{"line":244,"column":1}},"key":"uHjSzxhekF"}],"key":"GeyQGEx9iG"}],"key":"UWFu8ANxuW"},{"type":"block","position":{"start":{"line":246,"column":1},"end":{"line":246,"column":1}},"children":[{"type":"heading","depth":2,"position":{"start":{"line":248,"column":1},"end":{"line":248,"column":1}},"children":[{"type":"text","value":"Fitting Data","position":{"start":{"line":248,"column":1},"end":{"line":248,"column":1}},"key":"jv15l6T0Ci"}],"identifier":"fitting-data","label":"Fitting Data","html_id":"fitting-data","implicit":true,"key":"iCmv6L0AaW"},{"type":"paragraph","position":{"start":{"line":250,"column":1},"end":{"line":250,"column":1}},"children":[{"type":"text","value":"One possibility we can think of is to interpolate the missing data to estimate the number of cases in late January. Observe that we can select the masked elements using the ","position":{"start":{"line":250,"column":1},"end":{"line":250,"column":1}},"key":"ZyQBi2j9rc"},{"type":"inlineCode","value":".mask","position":{"start":{"line":250,"column":1},"end":{"line":250,"column":1}},"key":"ZNQ3bNeYQp"},{"type":"text","value":" attribute:","position":{"start":{"line":250,"column":1},"end":{"line":250,"column":1}},"key":"weVJd9S886"}],"key":"R6GN3yH3ik"}],"key":"klnDrdmBRX"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"china_total.mask\ninvalid = china_total[china_total.mask]\ninvalid","key":"bybo083EP6"},{"type":"outputs","id":"yWbzoRPOrBNHW67Vwvrgd","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":15,"metadata":{},"data":{"text/plain":{"content":"masked_array(data=[--, --, --, --, --, --, --],\n mask=[ True, True, True, True, True, True, True],\n fill_value=999999,\n dtype=int64)","content_type":"text/plain"}}},"key":"Ju3kISdBRC"}],"key":"J1rLVhDdyi"}],"key":"CS6dNqtsTj"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":258,"column":1},"end":{"line":258,"column":1}},"children":[{"type":"text","value":"We can also access the valid entries by using the logical negation for this mask:","position":{"start":{"line":258,"column":1},"end":{"line":258,"column":1}},"key":"BwHRfoRVla"}],"key":"Hx5jNWROC5"}],"key":"woUeqc7i6P"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"valid = china_total[~china_total.mask]\nvalid","key":"tB5TIxU9F5"},{"type":"outputs","id":"Qa5CvxdOWp_hU8_5zxgxL","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":16,"metadata":{},"data":{"text/plain":{"content":"masked_array(data=[278, 308, 440, 446, 11791, 14380, 17205],\n mask=[False, False, False, False, False, False, False],\n fill_value=999999)","content_type":"text/plain"}}},"key":"TYBBGAcr5O"}],"key":"wfUn6LXQVz"}],"key":"aqeFAZoO88"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":265,"column":1},"end":{"line":265,"column":1}},"children":[{"type":"text","value":"Now, if we want to create a very simple approximation for this data, we should take into account the valid entries around the invalid ones. So first let’s select the dates for which the data is valid. Note that we can use the mask from the ","position":{"start":{"line":265,"column":1},"end":{"line":265,"column":1}},"key":"dR8aKhLTPZ"},{"type":"inlineCode","value":"china_total","position":{"start":{"line":265,"column":1},"end":{"line":265,"column":1}},"key":"yc640qoNcu"},{"type":"text","value":" masked array to index the dates array:","position":{"start":{"line":265,"column":1},"end":{"line":265,"column":1}},"key":"r4TrlIIPhv"}],"key":"mpRCf3jMGO"}],"key":"areRZN0iGC"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"dates[~china_total.mask]","key":"km7SIYd8a9"},{"type":"outputs","id":"-vx6pxVp3pApdw97aUKnW","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":17,"metadata":{},"data":{"text/plain":{"content":"array(['1/21/20', '1/22/20', '1/23/20', '1/24/20', '2/1/20', '2/2/20',\n '2/3/20'], dtype='","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"705b0ce4ba67115fce959db22ca0f373","path":"/numpy-tutorials/build/705b0ce4ba67115fce959db22ca0f373.png"}}},"key":"zfwqe1Sczm"}],"key":"Bd5wUUU1Mt"}],"key":"kDJhHiZU2L"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":284,"column":1},"end":{"line":285,"column":1}},"children":[{"type":"text","value":"This plot is not so readable since the lines seem to be over each other, so let’s summarize in a more elaborate plot. 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(2020). An interactive web-based dashboard to track COVID-19 in real time. The Lancet Infectious Diseases, 20(5), 533–534. 10.1016/s1473-3099(20)30120-1","url":"https://doi.org/10.1016/s1473-3099(20)30120-1"}}}},"footer":{"navigation":{"prev":{"title":"Saving and sharing your NumPy arrays","short_title":"Sharing Array Data","url":"/save-load-arrays","group":"Features"},"next":{"title":"Contributing","short_title":"Contributing","url":"/contributing","group":"Features"}}},"domain":"http://localhost:3000"} \ No newline at end of file diff --git a/tutorial-ma/index.html b/tutorial-ma/index.html new file mode 100644 index 00000000..af9c03e4 --- /dev/null +++ b/tutorial-ma/index.html @@ -0,0 +1,163 @@ +Masked Arrays - Numpy Tutorials
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Masked Arrays

What you’ll do

Use the masked arrays module from NumPy to analyze COVID-19 data and deal with missing values.

What you’ll learn

  • You’ll understand what are masked arrays and how they can be created

  • You’ll see how to access and modify data for masked arrays

  • You’ll be able to decide when the use of masked arrays is appropriate in some of your applications

What you’ll need

  • Basic familiarity with Python. If you would like to refresh your memory, take a look at the Python tutorial.

  • Basic familiarity with NumPy

  • To run the plots on your computer, you need matplotlib.

What are masked arrays?

Consider the following problem. You have a dataset with missing or invalid entries. If you’re doing any kind of processing on this data, and want to skip or flag these unwanted entries without just deleting them, you may have to use conditionals or filter your data somehow. The numpy.ma module provides some of the same functionality of NumPy ndarrays with added structure to ensure invalid entries are not used in computation.

From the Reference Guide:

A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not. When an element of the mask is False, the corresponding element of the associated array is valid and is said to be unmasked. When an element of the mask is True, the corresponding element of the associated array is said to be masked (invalid).

We can think of a MaskedArray as a combination of:

  • Data, as a regular numpy.ndarray of any shape or datatype;

  • A boolean mask with the same shape as the data;

  • A fill_value, a value that may be used to replace the invalid entries in order to return a standard numpy.ndarray.

When can they be useful?

There are a few situations where masked arrays can be more useful than just eliminating the invalid entries of an array:

  • When you want to preserve the values you masked for later processing, without copying the array;

  • When you have to handle many arrays, each with their own mask. If the mask is part of the array, you avoid bugs and the code is possibly more compact;

  • When you have different flags for missing or invalid values, and wish to preserve these flags without replacing them in the original dataset, but exclude them from computations;

  • If you can’t avoid or eliminate missing values, but don’t want to deal with NaN (Not a Number) values in your operations.

Masked arrays are also a good idea since the numpy.ma module also comes with a specific implementation of most NumPy universal functions (ufuncs), which means that you can still apply fast vectorized functions and operations on masked data. The output is then a masked array. We’ll see some examples of how this works in practice below.

Using masked arrays to see COVID-19 data

From Kaggle it is possible to download a dataset with initial data about the COVID-19 outbreak in the beginning of 2020. We are going to look at a small subset of this data, contained in the file who_covid_19_sit_rep_time_series.csv. (Note that this file has been replaced with a version without missing data sometime in late 2020.)

import numpy as np
+import os
+
+# The os.getcwd() function returns the current folder; you can change
+# the filepath variable to point to the folder where you saved the .csv file
+filepath = os.getcwd()
+filename = os.path.join(filepath, "who_covid_19_sit_rep_time_series.csv")

The data file contains data of different types and is organized as follows:

  • The first row is a header line that (mostly) describes the data in each column that follow in the rows below, and beginning in the fourth column, the header is the date of the observation.

  • The second through seventh row contain summary data that is of a different type than that which we are going to examine, so we will need to exclude that from the data with which we will work.

  • The numerical data we wish to work with begins at column 4, row 8, and extends from there to the rightmost column and the lowermost row.

Let’s explore the data inside this file for the first 14 days of records. To gather data from the .csv file, we will use the numpy.genfromtxt function, making sure we select only the columns with actual numbers instead of the first four columns which contain location data. We also skip the first 6 +rows of this file, since they contain other data we are not interested in. Separately, we will extract the information about dates and location for this data.

# Note we are using skip_header and usecols to read only portions of the
+# data file into each variable.
+# Read just the dates for columns 4-18 from the first row
+dates = np.genfromtxt(
+    filename,
+    dtype=np.str_,
+    delimiter=",",
+    max_rows=1,
+    usecols=range(4, 18),
+    encoding="utf-8-sig",
+)
+# Read the names of the geographic locations from the first two
+# columns, skipping the first six rows
+locations = np.genfromtxt(
+    filename,
+    dtype=np.str_,
+    delimiter=",",
+    skip_header=6,
+    usecols=(0, 1),
+    encoding="utf-8-sig",
+)
+# Read the numeric data from just the first 14 days
+nbcases = np.genfromtxt(
+    filename,
+    dtype=np.int_,
+    delimiter=",",
+    skip_header=6,
+    usecols=range(4, 18),
+    encoding="utf-8-sig",
+)

Included in the numpy.genfromtxt function call, we have selected the numpy.dtype for each subset of the data (either an integer - numpy.int_ - or a string of characters - numpy.str_). We have also used the encoding argument to select utf-8-sig as the encoding for the file (read more about encoding in the official Python documentation. You can read more about the numpy.genfromtxt function from the Reference Documentation or from the Basic IO tutorial.

Exploring the data

First of all, we can plot the whole set of data we have and see what it looks like. In order to get a readable plot, we select only a few of the dates to show in our x-axis ticks. Note also that in our plot command, we use nbcases.T (the transpose of the nbcases array) since this means we will plot each row of the file as a separate line. We choose to plot a dashed line (using the '--' line style). See the matplotlib documentation for more info on this.

import matplotlib.pyplot as plt
+
+selected_dates = [0, 3, 11, 13]
+
+fig, ax = plt.subplots()
+ax.plot(dates, nbcases.T, "--")
+ax.set_xticks(selected_dates, dates[selected_dates])
+ax.set_title("COVID-19 cumulative cases from Jan 21 to Feb 3 2020")
<Figure size 640x480 with 1 Axes>

The graph has a strange shape from January 24th to February 1st. It would be interesting to know where this data comes from. If we look at the locations array we extracted from the .csv file, we can see that we have two columns, where the first would contain regions and the second would contain the name of the country. However, only the first few rows contain data for the the first column (province names in China). Following that, we only have country names. So it would make sense to group all the data from China into a single row. For this, we’ll select from the nbcases array only the rows for which the second entry of the locations array corresponds to China. Next, we’ll use the numpy.sum function to sum all the selected rows (axis=0). Note also that row 35 corresponds to the total counts for the whole country for each date. Since we want to calculate the sum ourselves from the provinces data, we have to remove that row first from both locations and nbcases:

totals_row = 35
+locations = np.delete(locations, (totals_row), axis=0)
+nbcases = np.delete(nbcases, (totals_row), axis=0)
+
+china_total = nbcases[locations[:, 1] == "China"].sum(axis=0)
+china_total
array([ 247, 288, 556, 817, -22, -22, -15, -10, -9, + -7, -4, 11820, 14410, 17237])

Something’s wrong with this data - we are not supposed to have negative values in a cumulative data set. What’s going on?

Missing data

Looking at the data, here’s what we find: there is a period with missing data:

nbcases
array([[ 258, 270, 375, ..., 7153, 9074, 11177], + [ 14, 17, 26, ..., 520, 604, 683], + [ -1, 1, 1, ..., 422, 493, 566], + ..., + [ -1, -1, -1, ..., -1, -1, -1], + [ -1, -1, -1, ..., -1, -1, -1], + [ -1, -1, -1, ..., -1, -1, -1]], shape=(263, 14))

All the -1 values we are seeing come from numpy.genfromtxt attempting to read missing data from the original .csv file. Obviously, we +don’t want to compute missing data as -1 - we just want to skip this value so it doesn’t interfere in our analysis. After importing the numpy.ma module, we’ll create a new array, this time masking the invalid values:

from numpy import ma
+
+nbcases_ma = ma.masked_values(nbcases, -1)

If we look at the nbcases_ma masked array, this is what we have:

nbcases_ma
masked_array( + data=[[258, 270, 375, ..., 7153, 9074, 11177], + [14, 17, 26, ..., 520, 604, 683], + [--, 1, 1, ..., 422, 493, 566], + ..., + [--, --, --, ..., --, --, --], + [--, --, --, ..., --, --, --], + [--, --, --, ..., --, --, --]], + mask=[[False, False, False, ..., False, False, False], + [False, False, False, ..., False, False, False], + [ True, False, False, ..., False, False, False], + ..., + [ True, True, True, ..., True, True, True], + [ True, True, True, ..., True, True, True], + [ True, True, True, ..., True, True, True]], + fill_value=-1)

We can see that this is a different kind of array. As mentioned in the introduction, it has three attributes (data, mask and fill_value). +Keep in mind that the mask attribute has a True value for elements corresponding to invalid data (represented by two dashes in the data attribute).

Let’s try and see what the data looks like excluding the first row (data from the Hubei province in China) so we can look at the missing data more +closely:

fig, ax = plt.subplots()
+ax.plot(dates, nbcases_ma[1:].T, "--")
+ax.set_xticks(selected_dates, dates[selected_dates])
+ax.set_title("COVID-19 cumulative cases from Jan 21 to Feb 3 2020")
<Figure size 640x480 with 1 Axes>

Now that our data has been masked, let’s try summing up all the cases in China:

china_masked = nbcases_ma[locations[:, 1] == "China"].sum(axis=0)
+china_masked
masked_array(data=[278, 309, 574, 835, 10, 10, 17, 22, 23, 25, 28, 11821, + 14411, 17238], + mask=[False, False, False, False, False, False, False, False, + False, False, False, False, False, False], + fill_value=999999)

Note that china_masked is a masked array, so it has a different data structure than a regular NumPy array. Now, we can access its data directly by using the .data attribute:

china_total = china_masked.data
+china_total
array([ 278, 309, 574, 835, 10, 10, 17, 22, 23, + 25, 28, 11821, 14411, 17238])

That is better: no more negative values. However, we can still see that for some days, the cumulative number of cases seems to go down (from 835 to 10, for example), which does not agree with the definition of “cumulative data”. If we look more closely at the data, we can see that in the period where there was missing data in mainland China, there was valid data for Hong Kong, Taiwan, Macau and “Unspecified” regions of China. Maybe we can remove those from the total sum of cases in China, to get a better understanding of the data.

First, we’ll identify the indices of locations in mainland China:

china_mask = (
+    (locations[:, 1] == "China")
+    & (locations[:, 0] != "Hong Kong")
+    & (locations[:, 0] != "Taiwan")
+    & (locations[:, 0] != "Macau")
+    & (locations[:, 0] != "Unspecified*")
+)

Now, china_mask is an array of boolean values (True or False); we can check that the indices are what we wanted with the ma.nonzero method for masked arrays:

china_mask.nonzero()
(array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, + 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 33]),)

Now we can correctly sum entries for mainland China:

china_total = nbcases_ma[china_mask].sum(axis=0)
+china_total
masked_array(data=[278, 308, 440, 446, --, --, --, --, --, --, --, 11791, + 14380, 17205], + mask=[False, False, False, False, True, True, True, True, + True, True, True, False, False, False], + fill_value=999999)

We can replace the data with this information and plot a new graph, focusing on Mainland China:

fig, ax = plt.subplots()
+ax.plot(dates, china_total.T, "--")
+ax.set_xticks(selected_dates, dates[selected_dates])
+ax.set_title("COVID-19 cumulative cases from Jan 21 to Feb 3 2020 - Mainland China")
<Figure size 640x480 with 1 Axes>

It’s clear that masked arrays are the right solution here. We cannot represent the missing data without mischaracterizing the evolution of the curve.

Fitting Data

One possibility we can think of is to interpolate the missing data to estimate the number of cases in late January. Observe that we can select the masked elements using the .mask attribute:

china_total.mask
+invalid = china_total[china_total.mask]
+invalid
masked_array(data=[--, --, --, --, --, --, --], + mask=[ True, True, True, True, True, True, True], + fill_value=999999, + dtype=int64)

We can also access the valid entries by using the logical negation for this mask:

valid = china_total[~china_total.mask]
+valid
masked_array(data=[278, 308, 440, 446, 11791, 14380, 17205], + mask=[False, False, False, False, False, False, False], + fill_value=999999)

Now, if we want to create a very simple approximation for this data, we should take into account the valid entries around the invalid ones. So first let’s select the dates for which the data is valid. Note that we can use the mask from the china_total masked array to index the dates array:

dates[~china_total.mask]
array(['1/21/20', '1/22/20', '1/23/20', '1/24/20', '2/1/20', '2/2/20', + '2/3/20'], dtype='<U7')

Finally, we can use the +fitting functionality of the numpy.polynomial +package to create a cubic polynomial model that fits the data as best as possible:

t = np.arange(len(china_total))
+model = np.polynomial.Polynomial.fit(t[~china_total.mask], valid, deg=3)
+
+fig, ax = plt.subplots()
+ax.plot(t, china_total)
+ax.plot(t, model(t), "--")
<Figure size 640x480 with 1 Axes>

This plot is not so readable since the lines seem to be over each other, so let’s summarize in a more elaborate plot. We’ll plot the real data when +available, and show the cubic fit for unavailable data, using this fit to compute an estimate to the observed number of cases on January 28th 2020, 7 days after the beginning of the records:

fig, ax = plt.subplots()
+ax.plot(t, china_total)
+ax.plot(t[china_total.mask], model(t)[china_total.mask], "--", color="orange")
+ax.plot(7, model(7), "r*")
+
+ax.set_xticks([0, 7, 13], dates[[0, 7, 13]])
+ax.set_yticks([0, model(7), 10000, 17500])
+ax.legend(["Mainland China", "Cubic estimate", "7 days after start"])
+ax.set_title(
+    "COVID-19 cumulative cases from Jan 21 to Feb 3 2020 - Mainland China\n"
+    "Cubic estimate for 7 days after start"
+)
<Figure size 640x480 with 1 Axes>

In practice

  • Adding -1 to missing data is not a problem with numpy.genfromtxt; in this particular case, substituting the missing value with 0 might have been fine, but we’ll see later that this is far from a general solution. Also, it is possible to call the numpy.genfromtxt function using the usemask parameter. If usemask=True, numpy.genfromtxt automatically returns a masked array.

Further reading

Topics not covered in this tutorial can be found in the documentation:

Reference

  • Ensheng Dong, Hongru Du, Lauren Gardner, An interactive web-based dashboard to track COVID-19 in real time, The Lancet Infectious Diseases, Volume 20, Issue 5, 2020, Pages 533-534, ISSN 1473-3099, Dong et al. (2020).

References
  1. Dong, E., Du, H., & Gardner, L. (2020). An interactive web-based dashboard to track COVID-19 in real time. The Lancet Infectious Diseases, 20(5), 533–534. 10.1016/s1473-3099(20)30120-1
Features
Sharing Array Data
Features
Contributing
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change.","position":{"start":{"line":101,"column":1},"end":{"line":101,"column":1}},"key":"xovpOLEtNZ"}],"key":"G9qI3itHti"},{"type":"paragraph","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"children":[{"type":"text","value":"To see the behaviour of the function on a larger scale, we can apply the function to a subset of the complex plane and plot the result. To create our subset (or mesh), we can make use of the ","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"key":"DM9jxDjHB8"},{"type":"link","url":"https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"children":[{"type":"strong","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"children":[{"type":"text","value":"meshgrid","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"key":"OOAjoU4uwM"}],"key":"zid1gMNwWH"}],"urlSource":"https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html","key":"b5PMMx5IKE"},{"type":"text","value":" function.","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"key":"P9eyq6Q2Tx"}],"key":"BNEQmJUhPm"}],"key":"YZB0dSs0rK"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"x, y = np.meshgrid(np.linspace(-10, 10, 20), np.linspace(-10, 10, 20))\nmesh = x + (1j * y) # Make mesh of complex plane","key":"u1XAPZ6uhx"},{"type":"outputs","id":"4GDUHbd3lCGlKNuEfE76-","children":[],"key":"oFQ9C404sZ"}],"key":"cddraOPNE7"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":110,"column":1},"end":{"line":110,"column":1}},"children":[{"type":"text","value":"Now we will apply our function to each value contained in the mesh. Since we used a universal function in our design, this means that we can pass in the entire mesh all at once. This is extremely convenient for two reasons: It reduces the amount of code needed to be written and greatly increases the efficiency (as universal functions make use of system level C programming in their computations).","position":{"start":{"line":110,"column":1},"end":{"line":110,"column":1}},"key":"LhUssEPMVT"}],"key":"kXxsxXCLzK"},{"type":"paragraph","position":{"start":{"line":113,"column":1},"end":{"line":113,"column":1}},"children":[{"type":"text","value":"Here we plot the absolute value (or modulus) of each element in the mesh after one “iteration” of the function using a ","position":{"start":{"line":113,"column":1},"end":{"line":113,"column":1}},"key":"ZdxOaF97ku"},{"type":"link","url":"https://matplotlib.org/stable/users/explain/toolkits/mplot3d.html#scatter-plots","position":{"start":{"line":113,"column":1},"end":{"line":113,"column":1}},"children":[{"type":"strong","position":{"start":{"line":113,"column":1},"end":{"line":113,"column":1}},"children":[{"type":"text","value":"3D scatterplot","position":{"start":{"line":113,"column":1},"end":{"line":113,"column":1}},"key":"jDZDEYYMNV"}],"key":"sddZ1d8v8M"}],"urlSource":"https://matplotlib.org/stable/users/explain/toolkits/mplot3d.html#scatter-plots","key":"SwSYXc4iKS"},{"type":"text","value":":","position":{"start":{"line":113,"column":1},"end":{"line":113,"column":1}},"key":"UaXqjqZmi2"}],"key":"FM7SVHWmCH"}],"key":"P08EBslJYE"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"output = np.abs(f(mesh)) # Take the absolute value of the output (for plotting)\n\nfig = plt.figure()\nax = plt.axes(projection='3d')\n\nax.scatter(x, y, output, alpha=0.2)\n\nax.set_xlabel('Real axis')\nax.set_ylabel('Imaginary axis')\nax.set_zlabel('Absolute value')\nax.set_title('One Iteration: $ f(z) = z^2 - 1$');","key":"gESkmsWixK"},{"type":"outputs","id":"BfT2biNy536zQe_FAeggb","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"7f84e402be89c586dd50d9df108361bf","path":"/numpy-tutorials/build/7f84e402be89c586dd50d9df108361bf.png"}}},"key":"IbktloJXUX"}],"key":"bcWnyLtZKz"}],"key":"ZnZKQqI0Rt"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":129,"column":1},"end":{"line":129,"column":1}},"children":[{"type":"text","value":"This gives us a rough idea of what one iteration of the function does. Certain areas (notably in the areas closest to ","position":{"start":{"line":129,"column":1},"end":{"line":129,"column":1}},"key":"ZeFTypv0B0"},{"type":"inlineMath","value":"(0,0i)","position":{"start":{"line":129,"column":1},"end":{"line":129,"column":1}},"html":"(0,0i)(0,0i)(0,0i)","key":"nhJvKESh9X"},{"type":"text","value":") remain rather small while other areas grow quite considerably. Note that we lose information about the output by taking the absolute value, but it is the only way for us to be able to make a plot.","position":{"start":{"line":129,"column":1},"end":{"line":129,"column":1}},"key":"bT0111bwlS"}],"key":"SBInC4tpaw"},{"type":"paragraph","position":{"start":{"line":131,"column":1},"end":{"line":131,"column":1}},"children":[{"type":"text","value":"Let’s see what happens when we apply 2 iterations to the mesh:","position":{"start":{"line":131,"column":1},"end":{"line":131,"column":1}},"key":"I6b1wGFm6b"}],"key":"Wt4Sgqd21y"}],"key":"IwDsv3lBry"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"output = np.abs(f(f(mesh)))\n\nax = plt.axes(projection='3d')\n\nax.scatter(x, y, output, alpha=0.2)\n\nax.set_xlabel('Real axis')\nax.set_ylabel('Imaginary axis')\nax.set_zlabel('Absolute value')\nax.set_title('Two Iterations: $ f(z) = z^2 - 1$');","key":"wSbrhqCcEu"},{"type":"outputs","id":"c-6zJPeb1MEU3iIum1UP5","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"7fbde6b0eca93c7afca99c9aa7d7c976","path":"/numpy-tutorials/build/7fbde6b0eca93c7afca99c9aa7d7c976.png"}}},"key":"pspTPnw6hQ"}],"key":"Yhq8sVzBB1"}],"key":"ZQ776qHQwG"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"children":[{"type":"text","value":"Once again, we see that values around the origin remain small, and values with a larger absolute value (or modulus) “explode”.","position":{"start":{"line":146,"column":1},"end":{"line":146,"column":1}},"key":"oQo18ni474"}],"key":"DHgGHm7cyn"},{"type":"paragraph","position":{"start":{"line":148,"column":1},"end":{"line":148,"column":1}},"children":[{"type":"text","value":"From first impression, its behaviour appears to be normal, and may even seem mundane. Fractals tend to have more to them then what meets the eye; the exotic behavior shows itself when we begin applying more iterations.","position":{"start":{"line":148,"column":1},"end":{"line":148,"column":1}},"key":"mradH3eVWn"}],"key":"MPxOOU2Wot"}],"key":"zgQCof0l8v"},{"type":"block","position":{"start":{"line":150,"column":1},"end":{"line":150,"column":1}},"children":[{"type":"paragraph","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"children":[{"type":"text","value":"Consider three complex numbers:","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"key":"s33q3xJml8"}],"key":"w0av7Py5Te"},{"type":"paragraph","position":{"start":{"line":154,"column":1},"end":{"line":154,"column":1}},"children":[{"type":"inlineMath","value":"z_1 = 0.4 + 0.4i ","position":{"start":{"line":154,"column":1},"end":{"line":154,"column":1}},"html":"z1=0.4+0.4iz_1 = 0.4 + 0.4i z1​=0.4+0.4i","key":"Z6Mcr94m1p"},{"type":"text","value":",","position":{"start":{"line":154,"column":1},"end":{"line":154,"column":1}},"key":"tiI9uLwDBu"}],"key":"UNnGobpfiW"},{"type":"paragraph","position":{"start":{"line":156,"column":1},"end":{"line":156,"column":1}},"children":[{"type":"inlineMath","value":"z_2 = z_1 + 0.1","position":{"start":{"line":156,"column":1},"end":{"line":156,"column":1}},"html":"z2=z1+0.1z_2 = z_1 + 0.1z2​=z1​+0.1","key":"efGRvIfYGV"},{"type":"text","value":",","position":{"start":{"line":156,"column":1},"end":{"line":156,"column":1}},"key":"hVxwZzynsN"}],"key":"S0Tm3nsC5T"},{"type":"paragraph","position":{"start":{"line":158,"column":1},"end":{"line":158,"column":1}},"children":[{"type":"inlineMath","value":"z_3 = z_1 + 0.1i","position":{"start":{"line":158,"column":1},"end":{"line":158,"column":1}},"html":"z3=z1+0.1iz_3 = z_1 + 0.1iz3​=z1​+0.1i","key":"RaZnJS5tbk"}],"key":"aqgm2OMgap"},{"type":"paragraph","position":{"start":{"line":160,"column":1},"end":{"line":160,"column":1}},"children":[{"type":"text","value":"Given the shape of our first two plots, we would expect that these values would remain near the origin as we apply iterations to them. Let us see what happens when we apply 10 iterations to each value:","position":{"start":{"line":160,"column":1},"end":{"line":160,"column":1}},"key":"r6g7V4Geif"}],"key":"Jy46AExLQX"}],"key":"LHtrqGHXL0"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"selected_values = np.array([0.4 + 0.4j, 0.41 + 0.4j, 0.4 + 0.41j])\nnum_iter = 9\n\noutputs = np.zeros((num_iter+1, selected_values.shape[0]), dtype=complex)\noutputs[0] = selected_values\n\nfor i in range(num_iter):\n outputs[i+1] = f(outputs[i]) # Apply 10 iterations, save each output\n\nfig, axes = plt.subplots(1, selected_values.shape[0], figsize=(16, 6))\naxes[1].set_xlabel('Real axis')\naxes[0].set_ylabel('Imaginary axis')\n\nfor ax, data in zip(axes, outputs.T):\n cycle = ax.scatter(data.real, data.imag, c=range(data.shape[0]), alpha=0.6)\n ax.set_title(f'Mapping of iterations on {data[0]}')\n\nfig.colorbar(cycle, ax=axes, location=\"bottom\", label='Iteration');","key":"ECD61VSkjm"},{"type":"outputs","id":"o7wOQL0KbHq6E3IlT6Q1L","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"92114b78b40d8deb0fce5ce7359a888b","path":"/numpy-tutorials/build/92114b78b40d8deb0fce5ce7359a888b.png"}}},"key":"uHi0qM93kf"}],"key":"yxxbWYuAyq"}],"key":"jpWKaMubsO"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":183,"column":1},"end":{"line":183,"column":1}},"children":[{"type":"text","value":"To our surprise, the behaviour of the function did not come close to matching our hypothesis. This is a prime example of the chaotic behaviour fractals possess. In the first two plots, the value “exploded” on the last iteration, jumping way beyond the region that it was contained in previously. The third plot on the other hand remained bounded to a small region close to the origin, yielding completely different behaviour despite the tiny change in value.","position":{"start":{"line":183,"column":1},"end":{"line":183,"column":1}},"key":"eXqWCEjznJ"}],"key":"WM4Kmgty2Z"},{"type":"paragraph","position":{"start":{"line":185,"column":1},"end":{"line":185,"column":1}},"children":[{"type":"text","value":"This leads us to an extremely important question: ","position":{"start":{"line":185,"column":1},"end":{"line":185,"column":1}},"key":"UCk6n5kglX"},{"type":"strong","position":{"start":{"line":185,"column":1},"end":{"line":185,"column":1}},"children":[{"type":"text","value":"How many iterations can be applied to each value before they diverge (“explode”)?","position":{"start":{"line":185,"column":1},"end":{"line":185,"column":1}},"key":"zIKJOPFfPD"}],"key":"KxbHehCcnB"}],"key":"krrPJbgdsO"},{"type":"paragraph","position":{"start":{"line":187,"column":1},"end":{"line":187,"column":1}},"children":[{"type":"text","value":"As we saw from the first two plots, the further the values were from the origin, the faster they generally exploded. Although the behaviour is uncertain for smaller values (like ","position":{"start":{"line":187,"column":1},"end":{"line":187,"column":1}},"key":"Tn409ZFIuE"},{"type":"inlineMath","value":"z_1, z_2, z_3","position":{"start":{"line":187,"column":1},"end":{"line":187,"column":1}},"html":"z1,z2,z3z_1, z_2, z_3z1​,z2​,z3​","key":"JIJgAixFUA"},{"type":"text","value":"), we can assume that if a value surpasses a certain distance from the origin (say 2) that it is doomed to diverge. We will call this threshold the ","position":{"start":{"line":187,"column":1},"end":{"line":187,"column":1}},"key":"iKhWbZRx4k"},{"type":"strong","position":{"start":{"line":187,"column":1},"end":{"line":187,"column":1}},"children":[{"type":"text","value":"radius","position":{"start":{"line":187,"column":1},"end":{"line":187,"column":1}},"key":"ICPgn8xAxM"}],"key":"Q1tR7rZU2e"},{"type":"text","value":".","position":{"start":{"line":187,"column":1},"end":{"line":187,"column":1}},"key":"HEIL8wJIvw"}],"key":"N5svdyqfz4"},{"type":"paragraph","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"children":[{"type":"text","value":"This allows us to quantify the behaviour of the function for a particular value without having to perform as many computations. Once the radius is surpassed, we are allowed to stop iterating, which gives us a way of answering the question we posed. If we tally how many computations were applied before divergence, we gain insight into the behaviour of the function that would be hard to keep track of otherwise.","position":{"start":{"line":189,"column":1},"end":{"line":189,"column":1}},"key":"my028b4Bt5"}],"key":"IaZArKmRM9"},{"type":"paragraph","position":{"start":{"line":191,"column":1},"end":{"line":191,"column":1}},"children":[{"type":"text","value":"Of course, we can do much better and design a function that performs the procedure on an entire mesh.","position":{"start":{"line":191,"column":1},"end":{"line":191,"column":1}},"key":"AovQBw41wf"}],"key":"ZeC2U1K4j7"}],"key":"SSQ5Y4oLnW"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"def divergence_rate(mesh, num_iter=10, radius=2):\n\n z = mesh.copy()\n diverge_len = np.zeros(mesh.shape) # Keep tally of the number of iterations\n\n # Iterate on element if and only if |element| < radius (Otherwise assume divergence)\n for i in range(num_iter):\n conv_mask = np.abs(z) < radius\n diverge_len[conv_mask] += 1\n z[conv_mask] = f(z[conv_mask])\n\n return diverge_len","key":"Atm2CUYaOy"},{"type":"outputs","id":"i0T76JcC-7PemtlndywAU","children":[],"key":"Kt8Al4E0a2"}],"key":"qn3Fs3iDHB"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":208,"column":1},"end":{"line":208,"column":1}},"children":[{"type":"text","value":"The behaviour of this function may look confusing at first glance, so it will help to explain some of the notation.","position":{"start":{"line":208,"column":1},"end":{"line":208,"column":1}},"key":"eHypWMoR5S"}],"key":"TixRPys4d6"},{"type":"paragraph","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"children":[{"type":"text","value":"Our goal is to iterate over each value in the mesh and to tally the number of iterations before the value diverges. Since some values will diverge quicker than others, we need a procedure that only iterates over values that have an absolute value that is sufficiently small enough. We also want to stop tallying values once they surpass the radius. For this, we can use ","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"iDl7HZttDG"},{"type":"strong","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"children":[{"type":"link","url":"https://numpy.org/devdocs/user/basics.indexing.html#boolean-array-indexing","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"children":[{"type":"text","value":"Boolean Indexing","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"ZDpog3jarO"}],"urlSource":"https://numpy.org/devdocs/user/basics.indexing.html#boolean-array-indexing","key":"rC0zpmeutn"}],"key":"PNp6HAwMiW"},{"type":"text","value":", a NumPy feature that when paired with universal functions is unbeatable. Boolean Indexing allows for operations to be performed conditionally on a NumPy array without having to resort to looping over and checking for each array value individually.","position":{"start":{"line":210,"column":1},"end":{"line":210,"column":1}},"key":"wkLZmRcNHA"}],"key":"QceJHMm6dY"},{"type":"paragraph","position":{"start":{"line":212,"column":1},"end":{"line":212,"column":1}},"children":[{"type":"text","value":"In our case, we use a loop to apply iterations to our function ","position":{"start":{"line":212,"column":1},"end":{"line":212,"column":1}},"key":"cWPC3t6gcj"},{"type":"inlineMath","value":"f(z) = z^2 -1 ","position":{"start":{"line":212,"column":1},"end":{"line":212,"column":1}},"html":"f(z)=z2−1f(z) = z^2 -1 f(z)=z2−1","key":"BqUZgzNs5v"},{"type":"text","value":" and keep tally. Using Boolean indexing, we only apply the iterations to values that have an absolute value less than 2.","position":{"start":{"line":212,"column":1},"end":{"line":212,"column":1}},"key":"hUm8hZ8tYr"}],"key":"hKkaRHvdkX"},{"type":"paragraph","position":{"start":{"line":214,"column":1},"end":{"line":214,"column":1}},"children":[{"type":"text","value":"With that out of the way, we can go about plotting our first fractal! We will use the ","position":{"start":{"line":214,"column":1},"end":{"line":214,"column":1}},"key":"EbnfeRGVy7"},{"type":"link","url":"https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html","position":{"start":{"line":214,"column":1},"end":{"line":214,"column":1}},"children":[{"type":"strong","position":{"start":{"line":214,"column":1},"end":{"line":214,"column":1}},"children":[{"type":"text","value":"imshow","position":{"start":{"line":214,"column":1},"end":{"line":214,"column":1}},"key":"fVAeJJRBsZ"}],"key":"knh4KJjhoo"}],"urlSource":"https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html","key":"A0VmrI9Y4b"},{"type":"text","value":" function to create a colour-coded visualization of the tallies.","position":{"start":{"line":214,"column":1},"end":{"line":214,"column":1}},"key":"ZeJuX8JwLk"}],"key":"H5eoqBf02Y"}],"key":"bpcVGALoeB"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"x, y = np.meshgrid(np.linspace(-2, 2, 400), np.linspace(-2, 2, 400))\nmesh = x + (1j * y)\n\noutput = divergence_rate(mesh)\n\nfig, ax = plt.subplots(figsize=(5, 5))\n\nax.set_title('$f(z) = z^2 -1$')\nax.set_xlabel('Real axis')\nax.set_ylabel('Imaginary axis')\n\nim = ax.imshow(output, extent=[-2, 2, -2, 2])\ndivider = make_axes_locatable(ax)\ncax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\nplt.colorbar(im, cax=cax, label='Number of iterations');","key":"fD0BH2NxIY"},{"type":"outputs","id":"TksnuF-zbMyy11We_cjRq","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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The beautiful pattern that arises on the border of the converging and diverging values is even more fascinating when you realize that it is created from such a simple function.","position":{"start":{"line":234,"column":1},"end":{"line":234,"column":1}},"key":"Muj3bRxcwD"}],"key":"cEbs1MUQgn"}],"key":"MdlgJ7PrOE"},{"type":"block","position":{"start":{"line":236,"column":1},"end":{"line":236,"column":1}},"children":[{"type":"heading","depth":2,"position":{"start":{"line":238,"column":1},"end":{"line":238,"column":1}},"children":[{"type":"text","value":"Julia set","position":{"start":{"line":238,"column":1},"end":{"line":238,"column":1}},"key":"vZStZdSkg3"}],"identifier":"julia-set","label":"Julia set","html_id":"julia-set","implicit":true,"key":"w51g1Gfzui"},{"type":"paragraph","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"children":[{"type":"text","value":"What we just explored was an example of a fractal visualization of a specific Julia Set.","position":{"start":{"line":240,"column":1},"end":{"line":240,"column":1}},"key":"NRcWq8WCO5"}],"key":"lzvg9dAKVg"},{"type":"paragraph","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"children":[{"type":"text","value":"Consider the function ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"sKmVBgbFKt"},{"type":"inlineMath","value":"f(z) = z^2 + c","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"html":"f(z)=z2+cf(z) = z^2 + cf(z)=z2+c","key":"vAb2eEfv5a"},{"type":"text","value":" where ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"BnlrPMm368"},{"type":"inlineMath","value":"c","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"html":"ccc","key":"z98SZVBeAL"},{"type":"text","value":" is a complex number. The ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"NatB5elXKa"},{"type":"strong","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"children":[{"type":"text","value":"filled-in Julia set","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"gZ2vK4AAoe"}],"key":"DQwRI2l6fl"},{"type":"text","value":" of ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"TDvAi2y8z1"},{"type":"inlineMath","value":"c","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"html":"ccc","key":"xTDQz2jaH4"},{"type":"text","value":" is the set of all complex numbers ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"a1zi775Ptt"},{"type":"inlineCode","value":"z","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"KipK2WspTV"},{"type":"text","value":" in which the function converges at ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"WmR8IPvPHq"},{"type":"inlineMath","value":"f(z)","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"html":"f(z)f(z)f(z)","key":"LjnBLXnitC"},{"type":"text","value":". Likewise, the boundary of the filled-in Julia set is what we call the ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"gVwCx7cjus"},{"type":"strong","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"children":[{"type":"text","value":"Julia set","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"Lxp3s4bZ4Z"}],"key":"HZw8nKYt8C"},{"type":"text","value":". In our above visualization, we can see that the yellow region represents an approximation of the filled-in Julia set for ","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"t0fCz9g2eG"},{"type":"inlineMath","value":"c = -1","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"html":"c=−1c = -1c=−1","key":"kdizMv89RG"},{"type":"text","value":" and the greenish-yellow border would contain the Julia set.","position":{"start":{"line":242,"column":1},"end":{"line":242,"column":1}},"key":"FklqLo0xip"}],"key":"yzt9ac7gfW"},{"type":"paragraph","position":{"start":{"line":244,"column":1},"end":{"line":244,"column":1}},"children":[{"type":"text","value":"To gain access to a wider range of “Julia fractals”, we can write a function that allows for different values of ","position":{"start":{"line":244,"column":1},"end":{"line":244,"column":1}},"key":"XvtrPEv13Q"},{"type":"inlineMath","value":"c","position":{"start":{"line":244,"column":1},"end":{"line":244,"column":1}},"html":"ccc","key":"NTTT8nxkwn"},{"type":"text","value":" to be passed in:","position":{"start":{"line":244,"column":1},"end":{"line":244,"column":1}},"key":"YgaNQBYd53"}],"key":"DjQwe9S6WL"}],"key":"vFbEjP4dPb"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"def julia(mesh, c=-1, num_iter=10, radius=2):\n\n z = mesh.copy()\n diverge_len = np.zeros(z.shape)\n\n for i in range(num_iter):\n conv_mask = np.abs(z) < radius\n z[conv_mask] = np.square(z[conv_mask]) + c\n diverge_len[conv_mask] += 1\n\n return diverge_len","key":"Xc7ymrK5wv"},{"type":"outputs","id":"6D-t6gTGv_PIamQmIzjbU","children":[],"key":"QNuxDgwFUW"}],"key":"R358uqgkaQ"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":260,"column":1},"end":{"line":260,"column":1}},"children":[{"type":"text","value":"To make our lives easier, we will create a couple meshes that we will reuse throughout the rest of the examples:","position":{"start":{"line":260,"column":1},"end":{"line":260,"column":1}},"key":"ChX9ElPg4G"}],"key":"Tj5yC83lXa"}],"key":"pWrEPHAkxZ"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"x, y = np.meshgrid(np.linspace(-1, 1, 400), np.linspace(-1, 1, 400))\nsmall_mesh = x + (1j * y)\n\nx, y = np.meshgrid(np.linspace(-2, 2, 400), np.linspace(-2, 2, 400))\nmesh = x + (1j * y)","key":"NeItbTo2Il"},{"type":"outputs","id":"oieOBxQgM_g4o9z92bC27","children":[],"key":"YUBDoT6h2w"}],"key":"psbDv9WIgS"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":270,"column":1},"end":{"line":270,"column":1}},"children":[{"type":"text","value":"We will also write a function that we will use to create our fractal plots:","position":{"start":{"line":270,"column":1},"end":{"line":270,"column":1}},"key":"bgldDxrsRn"}],"key":"guZlllxGvt"}],"key":"p9eFOqWX1H"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"def plot_fractal(fractal, title='Fractal', figsize=(6, 6), cmap='rainbow', extent=[-2, 2, -2, 2]):\n\n fig, ax = plt.subplots(figsize=figsize)\n\n ax.set_title(f'${title}$')\n ax.set_xlabel('Real axis')\n ax.set_ylabel('Imaginary axis')\n\n im = ax.imshow(fractal, extent=extent, cmap=cmap)\n divider = make_axes_locatable(ax)\n cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n plt.colorbar(im, cax=cax, label='Number of iterations')","key":"ZWPWnEXnac"},{"type":"outputs","id":"iggOepucy231SfA55Kpa5","children":[],"key":"xfUywGDf86"}],"key":"OhaEZSgr8y"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":287,"column":1},"end":{"line":287,"column":1}},"children":[{"type":"text","value":"Using our newly defined functions, we can make a quick plot of the first fractal again:","position":{"start":{"line":287,"column":1},"end":{"line":287,"column":1}},"key":"W0VSW1TMdQ"}],"key":"ajKjwu79sA"}],"key":"aFuMHEP6aB"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"output = julia(mesh, num_iter=15)\nkwargs = {'title': 'f(z) = z^2 -1'}\n\nplot_fractal(output, **kwargs);","key":"OT9lnVijHE"},{"type":"outputs","id":"KegFn4Vu5lLWa3-RJHAtB","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"850f37a471269c156ed7f8880c97d499","path":"/numpy-tutorials/build/850f37a471269c156ed7f8880c97d499.png"}}},"key":"PwmbViJoKj"}],"key":"tlV3wzMeN3"}],"key":"muEHsH3Kdt"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":296,"column":1},"end":{"line":296,"column":1}},"children":[{"type":"text","value":"We also can explore some different Julia sets by experimenting with different values of ","position":{"start":{"line":296,"column":1},"end":{"line":296,"column":1}},"key":"hZiT7hWqtu"},{"type":"inlineMath","value":"c","position":{"start":{"line":296,"column":1},"end":{"line":296,"column":1}},"html":"ccc","key":"lMtjstb7Mk"},{"type":"text","value":". It can be surprising how much influence it has on the shape of the fractal.","position":{"start":{"line":296,"column":1},"end":{"line":296,"column":1}},"key":"VLC55zxJMJ"}],"key":"QoLpkmE6FZ"},{"type":"paragraph","position":{"start":{"line":298,"column":1},"end":{"line":298,"column":1}},"children":[{"type":"text","value":"For example, setting ","position":{"start":{"line":298,"column":1},"end":{"line":298,"column":1}},"key":"zRPoWblUaM"},{"type":"inlineMath","value":"c = \\frac{\\pi}{10}","position":{"start":{"line":298,"column":1},"end":{"line":298,"column":1}},"html":"c=π10c = \\frac{\\pi}{10}c=10π​","key":"jKvN9qJVFT"},{"type":"text","value":" gives us a very elegant cloud shape, while setting c = ","position":{"start":{"line":298,"column":1},"end":{"line":298,"column":1}},"key":"thf1bpQatx"},{"type":"inlineMath","value":"-\\frac{3}{4} + 0.4i","position":{"start":{"line":298,"column":1},"end":{"line":298,"column":1}},"html":"−34+0.4i-\\frac{3}{4} + 0.4i−43​+0.4i","key":"xR9p4oM8Dz"},{"type":"text","value":" yields a completely different pattern.","position":{"start":{"line":298,"column":1},"end":{"line":298,"column":1}},"key":"NJKpLPCtDr"}],"key":"N2Vf62NKNl"}],"key":"qgjq95uiQL"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"output = julia(mesh, c=np.pi/10, num_iter=20)\nkwargs = {'title': r'f(z) = z^2 + \\dfrac{\\pi}{10}', 'cmap': 'plasma'}\n\nplot_fractal(output, **kwargs);","key":"AdhPzu9j0g"},{"type":"outputs","id":"cGdGCsNSD9h54W7Furza2","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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Mathematically, it can be expressed as:","position":{"start":{"line":379,"column":1},"end":{"line":379,"column":1}},"key":"zf4xFfRmXg"}],"key":"XwBUCcaJkB"},{"type":"paragraph","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"children":[{"type":"inlineMath","value":"z := z - \\frac{f(z)}{f'(z)}","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"html":"z:=z−f(z)f′(z)z := z - \\frac{f(z)}{f'(z)}z:=z−f′(z)f(z)​","key":"mFiWToyUHi"}],"key":"g5gpE5QBFq"},{"type":"paragraph","position":{"start":{"line":383,"column":1},"end":{"line":383,"column":1}},"children":[{"type":"text","value":"We will define a general version of the fractal which will allow for different variations to be plotted by passing in our functions of choice.","position":{"start":{"line":383,"column":1},"end":{"line":383,"column":1}},"key":"cZpXXwYH4a"}],"key":"GRIn6CaDK3"}],"key":"QbU5ZMiyx5"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"def newton_fractal(mesh, f, df, num_iter=10, r=2):\n\n z = mesh.copy()\n diverge_len = np.zeros(z.shape)\n\n for i in range(num_iter):\n conv_mask = np.abs(z) < r\n pz = f(z[conv_mask])\n dp = df(z[conv_mask])\n z[conv_mask] = z[conv_mask] - pz/dp\n diverge_len[conv_mask] += 1\n\n return diverge_len","key":"qCl3ujbAKu"},{"type":"outputs","id":"yTbLKGW9wrJVepUnI_aRn","children":[],"key":"EohFMb3UIH"}],"key":"Y8HFh019xd"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":401,"column":1},"end":{"line":401,"column":1}},"children":[{"type":"text","value":"Now we can experiment with some different functions. For polynomials, we can create our plots quite effortlessly using the ","position":{"start":{"line":401,"column":1},"end":{"line":401,"column":1}},"key":"aim9hV4WIx"},{"type":"link","url":"https://numpy.org/doc/stable/reference/generated/numpy.polynomial.polynomial.Polynomial.html","position":{"start":{"line":401,"column":1},"end":{"line":401,"column":1}},"children":[{"type":"text","value":"NumPy Polynomial class","position":{"start":{"line":401,"column":1},"end":{"line":401,"column":1}},"key":"Aydhj3qO97"}],"urlSource":"https://numpy.org/doc/stable/reference/generated/numpy.polynomial.polynomial.Polynomial.html","key":"fLqolCRL8t"},{"type":"text","value":", which has built in functionality for computing derivatives.","position":{"start":{"line":401,"column":1},"end":{"line":401,"column":1}},"key":"ACywNeafNU"}],"key":"ClTrGtKPd9"},{"type":"paragraph","position":{"start":{"line":403,"column":1},"end":{"line":403,"column":1}},"children":[{"type":"text","value":"For example, let’s try a higher-degree polynomial:","position":{"start":{"line":403,"column":1},"end":{"line":403,"column":1}},"key":"TixZyPWZJK"}],"key":"LhDrMHztXo"}],"key":"R8TArpWS5z"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"p = np.polynomial.Polynomial([-16, 0, 0, 0, 15, 0, 0, 0, 1])\np","key":"Y7TrT1vWvn"},{"type":"outputs","id":"s2DKxYHiEP05lx5ZStMHP","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":22,"metadata":{},"data":{"text/plain":{"content":"Polynomial([-16., 0., 0., 0., 15., 0., 0., 0., 1.], domain=[-1., 1.], window=[-1., 1.], symbol='x')","content_type":"text/plain"},"text/latex":{"content":"$x \\mapsto \\text{-16.0}\\color{LightGray}{ + \\text{0.0}\\,x}\\color{LightGray}{ + \\text{0.0}\\,x^{2}}\\color{LightGray}{ + \\text{0.0}\\,x^{3}} + \\text{15.0}\\,x^{4}\\color{LightGray}{ + \\text{0.0}\\,x^{5}}\\color{LightGray}{ + \\text{0.0}\\,x^{6}}\\color{LightGray}{ + \\text{0.0}\\,x^{7}} + \\text{1.0}\\,x^{8}$","content_type":"text/latex"}}},"key":"JdSjYcrhbx"}],"key":"nFhyCFcEXf"}],"key":"tlPj4hZ7QM"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":410,"column":1},"end":{"line":410,"column":1}},"children":[{"type":"text","value":"which has the derivative:","position":{"start":{"line":410,"column":1},"end":{"line":410,"column":1}},"key":"uYMyDyZQ4N"}],"key":"FNf47Kjpzz"}],"key":"xEC9wJBAfa"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"p.deriv()","key":"Hsd2njd4X0"},{"type":"outputs","id":"fQ5UD6TEBliB344vaxL12","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":23,"metadata":{},"data":{"text/plain":{"content":"Polynomial([ 0., 0., 0., 60., 0., 0., 0., 8.], domain=[-1., 1.], window=[-1., 1.], symbol='x')","content_type":"text/plain"},"text/latex":{"content":"$x \\mapsto \\color{LightGray}{\\text{0.0}}\\color{LightGray}{ + \\text{0.0}\\,x}\\color{LightGray}{ + \\text{0.0}\\,x^{2}} + \\text{60.0}\\,x^{3}\\color{LightGray}{ + \\text{0.0}\\,x^{4}}\\color{LightGray}{ + \\text{0.0}\\,x^{5}}\\color{LightGray}{ + \\text{0.0}\\,x^{6}} + \\text{8.0}\\,x^{7}$","content_type":"text/latex"}}},"key":"rPZh7ocphh"}],"key":"ere8ELQqkE"}],"key":"ARRXGasDcH"},{"type":"block","children":[],"key":"HlRhxWm4kd"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"output = newton_fractal(mesh, p, p.deriv(), num_iter=15, r=2)\nkwargs = {'title': r'f(z) = z - \\dfrac{(z^8 + 15z^4 - 16)}{(8z^7 + 60z^3)}', 'cmap': 'copper'}\n\nplot_fractal(output, **kwargs)","key":"BcN37XnIut"},{"type":"outputs","id":"gk7M4NgWxVWel5Sx5Akfj","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"c113dd5b777201dd668cb8a8bebe7164","path":"/numpy-tutorials/build/c113dd5b777201dd668cb8a8bebe7164.png"}}},"key":"za0DeAGX2N"}],"key":"tXz51t6c2s"}],"key":"vVDe0IDqJh"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":423,"column":1},"end":{"line":423,"column":1}},"children":[{"type":"text","value":"Beautiful! Let’s try another one:","position":{"start":{"line":423,"column":1},"end":{"line":423,"column":1}},"key":"gjsAdnghYN"}],"key":"PC50uXlVSX"},{"type":"paragraph","position":{"start":{"line":425,"column":1},"end":{"line":425,"column":1}},"children":[{"type":"text","value":"f(z) = ","position":{"start":{"line":425,"column":1},"end":{"line":425,"column":1}},"key":"nDVzWHFjlx"},{"type":"inlineMath","value":"tan^2(z)","position":{"start":{"line":425,"column":1},"end":{"line":425,"column":1}},"html":"tan2(z)tan^2(z)tan2(z)","key":"JSSPDTk7iI"}],"key":"dFqroKwQxK"},{"type":"paragraph","position":{"start":{"line":427,"column":1},"end":{"line":427,"column":1}},"children":[{"type":"inlineMath","value":"\\frac{df}{dz} = 2 \\cdot tan(z) sec^2(z) =\\frac{2 \\cdot tan(z)}{cos^2(z)}","position":{"start":{"line":427,"column":1},"end":{"line":427,"column":1}},"html":"dfdz=2⋅tan(z)sec2(z)=2⋅tan(z)cos2(z)\\frac{df}{dz} = 2 \\cdot tan(z) sec^2(z) =\\frac{2 \\cdot tan(z)}{cos^2(z)}dzdf​=2⋅tan(z)sec2(z)=cos2(z)2⋅tan(z)​","key":"TrfB2lXPb8"}],"key":"DaG8UC08sn"},{"type":"paragraph","position":{"start":{"line":429,"column":1},"end":{"line":429,"column":1}},"children":[{"type":"text","value":"This makes ","position":{"start":{"line":429,"column":1},"end":{"line":429,"column":1}},"key":"AyP3w9rZh2"},{"type":"inlineMath","value":"\\frac{f(z)}{f'(z)} = tan^2(z) \\cdot \\frac{cos^2(z)}{2 \\cdot tan(z)} = \\frac{tan(z)\\cdot cos^2(z)}{2} = \\frac{sin(z)\\cdot cos(z)}{2}","position":{"start":{"line":429,"column":1},"end":{"line":429,"column":1}},"html":"f(z)f′(z)=tan2(z)⋅cos2(z)2⋅tan(z)=tan(z)⋅cos2(z)2=sin(z)⋅cos(z)2\\frac{f(z)}{f'(z)} = tan^2(z) \\cdot \\frac{cos^2(z)}{2 \\cdot tan(z)} = \\frac{tan(z)\\cdot cos^2(z)}{2} = \\frac{sin(z)\\cdot cos(z)}{2}f′(z)f(z)​=tan2(z)⋅2⋅tan(z)cos2(z)​=2tan(z)⋅cos2(z)​=2sin(z)⋅cos(z)​","key":"CMvKkHBaa9"}],"key":"KNnTTcTSx8"}],"key":"KvxkfgZomD"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"def f_tan(z):\n return np.square(np.tan(z))\n\n\ndef d_tan(z):\n return 2*np.tan(z) / np.square(np.cos(z))","key":"dsDH2IDmtd"},{"type":"outputs","id":"2jvwGpHV1hYD5WmgxCyo8","children":[],"key":"bVvk3WaLsr"}],"key":"vCHw0HPBpg"},{"type":"block","children":[],"key":"PU7bDDGZJZ"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"output = newton_fractal(mesh, f_tan, d_tan, num_iter=15, r=50)\nkwargs = {'title': r'f(z) = z - \\dfrac{sin(z)cos(z)}{2}', 'cmap': 'binary'}\n\nplot_fractal(output, **kwargs);","key":"BvUP40ps7q"},{"type":"outputs","id":"0rBl2JxiiO0YeIAdoY01O","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"49b563b2585d80f061e4651c37e52da7","path":"/numpy-tutorials/build/49b563b2585d80f061e4651c37e52da7.png"}}},"key":"fkPvSuzcUj"}],"key":"K5vg4DFB6A"}],"key":"v1Q8XdUmjw"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":479,"column":1},"end":{"line":479,"column":1}},"children":[{"type":"text","value":"It is truly fascinating how distinct yet similar these fractals are with each other. This leads us to the final section.","position":{"start":{"line":479,"column":1},"end":{"line":479,"column":1}},"key":"sM3DyjBZuJ"}],"key":"gkggFEgZLc"}],"key":"cE2ggidFmR"},{"type":"block","position":{"start":{"line":481,"column":1},"end":{"line":481,"column":1}},"children":[{"type":"heading","depth":2,"position":{"start":{"line":483,"column":1},"end":{"line":483,"column":1}},"children":[{"type":"text","value":"Creating your own fractals","position":{"start":{"line":483,"column":1},"end":{"line":483,"column":1}},"key":"F6u3n7NKQO"}],"identifier":"creating-your-own-fractals","label":"Creating your own fractals","html_id":"creating-your-own-fractals","implicit":true,"key":"hasWqxxzT7"},{"type":"paragraph","position":{"start":{"line":486,"column":1},"end":{"line":486,"column":1}},"children":[{"type":"text","value":"What makes fractals more exciting is how much there is to explore once you become familiar with the basics. Now we will wrap up our tutorial by exploring some of the different ways one can experiment in creating unique fractals. I encourage you to try some things out on your own (if you have not done so already).","position":{"start":{"line":486,"column":1},"end":{"line":486,"column":1}},"key":"Oya2rqTZST"}],"key":"pCCHnFwbnr"},{"type":"paragraph","position":{"start":{"line":488,"column":1},"end":{"line":488,"column":1}},"children":[{"type":"text","value":"One of the first places to experiment would be with the function for the generalized Julia set, where we can try passing in different functions as parameters.","position":{"start":{"line":488,"column":1},"end":{"line":488,"column":1}},"key":"TiYml2FPr4"}],"key":"Uz7IfP0Fur"},{"type":"paragraph","position":{"start":{"line":490,"column":1},"end":{"line":490,"column":1}},"children":[{"type":"text","value":"Let’s start by choosing","position":{"start":{"line":490,"column":1},"end":{"line":490,"column":1}},"key":"bUkIMbL3S8"}],"key":"vQBny2Fr7X"},{"type":"paragraph","position":{"start":{"line":492,"column":1},"end":{"line":492,"column":1}},"children":[{"type":"inlineMath","value":"f(z) = tan(z^2)","position":{"start":{"line":492,"column":1},"end":{"line":492,"column":1}},"html":"f(z)=tan(z2)f(z) = tan(z^2)f(z)=tan(z2)","key":"v1L4BWf8LI"}],"key":"yh7N9cP7Bh"}],"key":"odejGdSqaj"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"def f(z):\n return np.tan(np.square(z))","key":"BVxm8ERu6C"},{"type":"outputs","id":"X8Px53Fkn3BmyKBIJ1_42","children":[],"key":"u8mXNtjLDA"}],"key":"JqVsL7dN1P"},{"type":"block","children":[],"key":"jeuWa6sNBC"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"output = general_julia(mesh, f=f, num_iter=15, radius=2.1)\nkwargs = {'title': 'f(z) = tan(z^2)', 'cmap': 'gist_stern'}\n\nplot_fractal(output, **kwargs);","key":"U2m8Z9X6MZ"},{"type":"outputs","id":"LXYw_U58JmS0esX1R6MRe","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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Plotting Fractals

Fractal picture

Fractals are beautiful, compelling mathematical forms that can be oftentimes created from a relatively simple set of instructions. In nature they can be found in various places, such as coastlines, seashells, and ferns, and even were used in creating certain types of antennas. The mathematical idea of fractals was known for quite some time, but they really began to be truly appreciated in the 1970’s as advancements in computer graphics and some accidental discoveries lead researchers like Benoît Mandelbrot to stumble upon the truly mystifying visualizations that fractals possess.

Today we will learn how to plot these beautiful visualizations and will start to do a bit of exploring for ourselves as we gain familiarity of the mathematics behind fractals and will use the ever powerful NumPy universal functions to perform the necessary calculations efficiently.

What you’ll do

  • Write a function for plotting various Julia sets

  • Create a visualization of the Mandelbrot set

  • Write a function that computes Newton fractals

  • Experiment with variations of general fractal types

What you’ll learn

  • A better intuition for how fractals work mathematically

  • A basic understanding about NumPy universal functions and Boolean Indexing

  • The basics of working with complex numbers in NumPy

  • How to create your own unique fractal visualizations

What you’ll need

  • Matplotlib

  • make_axis_locatable function from mpl_toolkits API

which can be imported as follows:

import numpy as np
+import matplotlib.pyplot as plt
+from mpl_toolkits.axes_grid1 import make_axes_locatable

Warmup

To gain some intuition for what fractals are, we will begin with an example.

Consider the following equation:

f(z)=z2−1f(z) = z^2 -1

where z is a complex number (i.e of the form a+bia + bi )

For our convenience, we will write a Python function for it

def f(z):
+    return np.square(z) - 1

Note that the square function we used is an example of a NumPy universal function; we will come back to the significance of this decision shortly.

To gain some intuition for the behaviour of the function, we can try plugging in some different values.

For z=0z = 0, we would expect to get -1:

f(0)
np.int64(-1)

Since we used a universal function in our design, we can compute multiple inputs at the same time:

z = [4, 1-0.2j, 1.6]
+f(z)
array([15. +0.j , -0.04-0.4j, 1.56+0.j ])

Some values grow, some values shrink, some don’t experience much change.

To see the behaviour of the function on a larger scale, we can apply the function to a subset of the complex plane and plot the result. To create our subset (or mesh), we can make use of the meshgrid function.

x, y = np.meshgrid(np.linspace(-10, 10, 20), np.linspace(-10, 10, 20))
+mesh = x + (1j * y)  # Make mesh of complex plane

Now we will apply our function to each value contained in the mesh. Since we used a universal function in our design, this means that we can pass in the entire mesh all at once. This is extremely convenient for two reasons: It reduces the amount of code needed to be written and greatly increases the efficiency (as universal functions make use of system level C programming in their computations).

Here we plot the absolute value (or modulus) of each element in the mesh after one “iteration” of the function using a 3D scatterplot:

output = np.abs(f(mesh))  # Take the absolute value of the output (for plotting)
+
+fig = plt.figure()
+ax = plt.axes(projection='3d')
+
+ax.scatter(x, y, output, alpha=0.2)
+
+ax.set_xlabel('Real axis')
+ax.set_ylabel('Imaginary axis')
+ax.set_zlabel('Absolute value')
+ax.set_title('One Iteration: $ f(z) = z^2 - 1$');
<Figure size 640x480 with 1 Axes>

This gives us a rough idea of what one iteration of the function does. Certain areas (notably in the areas closest to (0,0i)(0,0i)) remain rather small while other areas grow quite considerably. Note that we lose information about the output by taking the absolute value, but it is the only way for us to be able to make a plot.

Let’s see what happens when we apply 2 iterations to the mesh:

output = np.abs(f(f(mesh)))
+
+ax = plt.axes(projection='3d')
+
+ax.scatter(x, y, output, alpha=0.2)
+
+ax.set_xlabel('Real axis')
+ax.set_ylabel('Imaginary axis')
+ax.set_zlabel('Absolute value')
+ax.set_title('Two Iterations: $ f(z) = z^2 - 1$');
<Figure size 640x480 with 1 Axes>

Once again, we see that values around the origin remain small, and values with a larger absolute value (or modulus) “explode”.

From first impression, its behaviour appears to be normal, and may even seem mundane. Fractals tend to have more to them then what meets the eye; the exotic behavior shows itself when we begin applying more iterations.

Consider three complex numbers:

z1=0.4+0.4iz_1 = 0.4 + 0.4i ,

z2=z1+0.1z_2 = z_1 + 0.1,

z3=z1+0.1iz_3 = z_1 + 0.1i

Given the shape of our first two plots, we would expect that these values would remain near the origin as we apply iterations to them. Let us see what happens when we apply 10 iterations to each value:

selected_values = np.array([0.4 + 0.4j, 0.41 + 0.4j, 0.4 + 0.41j])
+num_iter = 9
+
+outputs = np.zeros((num_iter+1, selected_values.shape[0]), dtype=complex)
+outputs[0] = selected_values
+
+for i in range(num_iter):
+    outputs[i+1] = f(outputs[i])  # Apply 10 iterations, save each output
+
+fig, axes = plt.subplots(1, selected_values.shape[0], figsize=(16, 6))
+axes[1].set_xlabel('Real axis')
+axes[0].set_ylabel('Imaginary axis')
+
+for ax, data in zip(axes, outputs.T):
+    cycle = ax.scatter(data.real, data.imag, c=range(data.shape[0]), alpha=0.6)
+    ax.set_title(f'Mapping of iterations on {data[0]}')
+
+fig.colorbar(cycle, ax=axes, location="bottom", label='Iteration');
<Figure size 1600x600 with 4 Axes>

To our surprise, the behaviour of the function did not come close to matching our hypothesis. This is a prime example of the chaotic behaviour fractals possess. In the first two plots, the value “exploded” on the last iteration, jumping way beyond the region that it was contained in previously. The third plot on the other hand remained bounded to a small region close to the origin, yielding completely different behaviour despite the tiny change in value.

This leads us to an extremely important question: How many iterations can be applied to each value before they diverge (“explode”)?

As we saw from the first two plots, the further the values were from the origin, the faster they generally exploded. Although the behaviour is uncertain for smaller values (like z1,z2,z3z_1, z_2, z_3), we can assume that if a value surpasses a certain distance from the origin (say 2) that it is doomed to diverge. We will call this threshold the radius.

This allows us to quantify the behaviour of the function for a particular value without having to perform as many computations. Once the radius is surpassed, we are allowed to stop iterating, which gives us a way of answering the question we posed. If we tally how many computations were applied before divergence, we gain insight into the behaviour of the function that would be hard to keep track of otherwise.

Of course, we can do much better and design a function that performs the procedure on an entire mesh.

def divergence_rate(mesh, num_iter=10, radius=2):
+
+    z = mesh.copy()
+    diverge_len = np.zeros(mesh.shape)  # Keep tally of the number of iterations
+
+    # Iterate on element if and only if |element| < radius (Otherwise assume divergence)
+    for i in range(num_iter):
+        conv_mask = np.abs(z) < radius
+        diverge_len[conv_mask] += 1
+        z[conv_mask] = f(z[conv_mask])
+
+    return diverge_len

The behaviour of this function may look confusing at first glance, so it will help to explain some of the notation.

Our goal is to iterate over each value in the mesh and to tally the number of iterations before the value diverges. Since some values will diverge quicker than others, we need a procedure that only iterates over values that have an absolute value that is sufficiently small enough. We also want to stop tallying values once they surpass the radius. For this, we can use Boolean Indexing, a NumPy feature that when paired with universal functions is unbeatable. Boolean Indexing allows for operations to be performed conditionally on a NumPy array without having to resort to looping over and checking for each array value individually.

In our case, we use a loop to apply iterations to our function f(z)=z2−1f(z) = z^2 -1 and keep tally. Using Boolean indexing, we only apply the iterations to values that have an absolute value less than 2.

With that out of the way, we can go about plotting our first fractal! We will use the imshow function to create a colour-coded visualization of the tallies.

x, y = np.meshgrid(np.linspace(-2, 2, 400), np.linspace(-2, 2, 400))
+mesh = x + (1j * y)
+
+output = divergence_rate(mesh)
+
+fig, ax = plt.subplots(figsize=(5, 5))
+
+ax.set_title('$f(z) = z^2 -1$')
+ax.set_xlabel('Real axis')
+ax.set_ylabel('Imaginary axis')
+
+im = ax.imshow(output, extent=[-2, 2, -2, 2])
+divider = make_axes_locatable(ax)
+cax = divider.append_axes("right", size="5%", pad=0.1)
+plt.colorbar(im, cax=cax, label='Number of iterations');
<Figure size 500x500 with 2 Axes>

What this stunning visual conveys is the complexity of the function’s behaviour. The yellow region represents values that remain small, while the purple region represents the divergent values. The beautiful pattern that arises on the border of the converging and diverging values is even more fascinating when you realize that it is created from such a simple function.

Julia set

What we just explored was an example of a fractal visualization of a specific Julia Set.

Consider the function f(z)=z2+cf(z) = z^2 + c where cc is a complex number. The filled-in Julia set of cc is the set of all complex numbers z in which the function converges at f(z)f(z). Likewise, the boundary of the filled-in Julia set is what we call the Julia set. In our above visualization, we can see that the yellow region represents an approximation of the filled-in Julia set for c=−1c = -1 and the greenish-yellow border would contain the Julia set.

To gain access to a wider range of “Julia fractals”, we can write a function that allows for different values of cc to be passed in:

def julia(mesh, c=-1, num_iter=10, radius=2):
+
+    z = mesh.copy()
+    diverge_len = np.zeros(z.shape)
+
+    for i in range(num_iter):
+        conv_mask = np.abs(z) < radius
+        z[conv_mask] = np.square(z[conv_mask]) + c
+        diverge_len[conv_mask] += 1
+
+    return diverge_len

To make our lives easier, we will create a couple meshes that we will reuse throughout the rest of the examples:

x, y = np.meshgrid(np.linspace(-1, 1, 400), np.linspace(-1, 1, 400))
+small_mesh = x + (1j * y)
+
+x, y = np.meshgrid(np.linspace(-2, 2, 400), np.linspace(-2, 2, 400))
+mesh = x + (1j * y)

We will also write a function that we will use to create our fractal plots:

def plot_fractal(fractal, title='Fractal', figsize=(6, 6), cmap='rainbow', extent=[-2, 2, -2, 2]):
+
+    fig, ax = plt.subplots(figsize=figsize)
+
+    ax.set_title(f'${title}$')
+    ax.set_xlabel('Real axis')
+    ax.set_ylabel('Imaginary axis')
+
+    im = ax.imshow(fractal, extent=extent, cmap=cmap)
+    divider = make_axes_locatable(ax)
+    cax = divider.append_axes("right", size="5%", pad=0.1)
+    plt.colorbar(im, cax=cax, label='Number of iterations')

Using our newly defined functions, we can make a quick plot of the first fractal again:

output = julia(mesh, num_iter=15)
+kwargs = {'title': 'f(z) = z^2 -1'}
+
+plot_fractal(output, **kwargs);
<Figure size 600x600 with 2 Axes>

We also can explore some different Julia sets by experimenting with different values of cc. It can be surprising how much influence it has on the shape of the fractal.

For example, setting c=π10c = \frac{\pi}{10} gives us a very elegant cloud shape, while setting c = −34+0.4i-\frac{3}{4} + 0.4i yields a completely different pattern.

output = julia(mesh, c=np.pi/10, num_iter=20)
+kwargs = {'title': r'f(z) = z^2 + \dfrac{\pi}{10}', 'cmap': 'plasma'}
+
+plot_fractal(output, **kwargs);
<Figure size 600x600 with 2 Axes>
output = julia(mesh, c=-0.75 + 0.4j, num_iter=20)
+kwargs = {'title': r'f(z) = z^2 - \dfrac{3}{4} + 0.4i', 'cmap': 'Greens_r'}
+
+plot_fractal(output, **kwargs);
<Figure size 600x600 with 2 Axes>

Mandelbrot set

Closely related to the Julia set is the famous Mandelbrot set, which has a slightly different definition. Once again, we define f(z)=z2+cf(z) = z^2 + c where cc is a complex number, but this time our focus is on our choice of cc. We say that cc is an element of the Mandelbrot set if f converges at z=0z = 0. An equivalent definition is to say that cc is an element of the Mandelbrot set if f(c)f(c) can be iterated infinitely and not ‘explode’. We will tweak our Julia function slightly (and rename it appropriately) so that we can plot a visualization of the Mandelbrot set, which possesses an elegant fractal pattern.

def mandelbrot(mesh, num_iter=10, radius=2):
+
+    c = mesh.copy()
+    z = np.zeros(mesh.shape, dtype=np.complex128)
+    diverge_len = np.zeros(z.shape)
+
+    for i in range(num_iter):
+        conv_mask = np.abs(z) < radius
+        z[conv_mask] = np.square(z[conv_mask]) + c[conv_mask]
+        diverge_len[conv_mask] += 1
+
+    return diverge_len
output = mandelbrot(mesh, num_iter=50)
+kwargs = {'title': 'Mandelbrot \\ set', 'cmap': 'hot'}
+
+plot_fractal(output, **kwargs);
<Figure size 600x600 with 2 Axes>

Generalizing the Julia set

We can generalize our Julia function even further by giving it a parameter for which universal function we would like to pass in. This would allow us to plot fractals of the form f(z)=g(z)+cf(z) = g(z) + c where g is a universal function selected by us.

def general_julia(mesh, c=-1, f=np.square, num_iter=100, radius=2):
+
+    z = mesh.copy()
+    diverge_len = np.zeros(z.shape)
+
+    for i in range(num_iter):
+        conv_mask = np.abs(z) < radius
+        z[conv_mask] = f(z[conv_mask]) + c
+        diverge_len[conv_mask] += 1
+
+    return diverge_len

One cool set of fractals that can be plotted using our general Julia function are ones of the form f(z)=zn+cf(z) = z^n + c for some positive integer nn. A very cool pattern which emerges is that the number of regions that ‘stick out’ matches the degree in which we raise the function to while iterating over it.

fig, axes = plt.subplots(2, 3, figsize=(8, 8))
+base_degree = 2
+
+for deg, ax in enumerate(axes.ravel()):
+    degree = base_degree + deg
+    power = lambda z: np.power(z, degree)  # Create power function for current degree
+
+    diverge_len = general_julia(mesh, f=power, num_iter=15)
+    ax.imshow(diverge_len, extent=[-2, 2, -2, 2], cmap='binary')
+    ax.set_title(f'$f(z) = z^{degree} -1$')
<Figure size 800x800 with 6 Axes>

Needless to say, there is a large amount of exploring that can be done by fiddling with the inputted function, value of cc, number of iterations, radius and even the density of the mesh and choice of colours.

Newton Fractals

Newton fractals are a specific class of fractals, where iterations involve adding or subtracting the ratio of a function (often a polynomial) and its derivative to the input values. Mathematically, it can be expressed as:

z:=z−f(z)f′(z)z := z - \frac{f(z)}{f'(z)}

We will define a general version of the fractal which will allow for different variations to be plotted by passing in our functions of choice.

def newton_fractal(mesh, f, df, num_iter=10, r=2):
+
+    z = mesh.copy()
+    diverge_len = np.zeros(z.shape)
+
+    for i in range(num_iter):
+        conv_mask = np.abs(z) < r
+        pz = f(z[conv_mask])
+        dp = df(z[conv_mask])
+        z[conv_mask] = z[conv_mask] - pz/dp
+        diverge_len[conv_mask] += 1
+
+    return diverge_len

Now we can experiment with some different functions. For polynomials, we can create our plots quite effortlessly using the NumPy Polynomial class, which has built in functionality for computing derivatives.

For example, let’s try a higher-degree polynomial:

p = np.polynomial.Polynomial([-16, 0, 0, 0, 15, 0, 0, 0, 1])
+p
Loading...

which has the derivative:

p.deriv()
Loading...
output = newton_fractal(mesh, p, p.deriv(), num_iter=15, r=2)
+kwargs = {'title': r'f(z) = z - \dfrac{(z^8 + 15z^4 - 16)}{(8z^7 + 60z^3)}', 'cmap': 'copper'}
+
+plot_fractal(output, **kwargs)
<Figure size 600x600 with 2 Axes>

Beautiful! Let’s try another one:

f(z) = tan2(z)tan^2(z)

dfdz=2⋅tan(z)sec2(z)=2⋅tan(z)cos2(z)\frac{df}{dz} = 2 \cdot tan(z) sec^2(z) =\frac{2 \cdot tan(z)}{cos^2(z)}

This makes f(z)f′(z)=tan2(z)⋅cos2(z)2⋅tan(z)=tan(z)⋅cos2(z)2=sin(z)⋅cos(z)2\frac{f(z)}{f'(z)} = tan^2(z) \cdot \frac{cos^2(z)}{2 \cdot tan(z)} = \frac{tan(z)\cdot cos^2(z)}{2} = \frac{sin(z)\cdot cos(z)}{2}

def f_tan(z):
+    return np.square(np.tan(z))
+
+
+def d_tan(z):
+    return 2*np.tan(z) / np.square(np.cos(z))
output = newton_fractal(mesh, f_tan, d_tan, num_iter=15, r=50)
+kwargs = {'title': r'f(z) = z - \dfrac{sin(z)cos(z)}{2}', 'cmap': 'binary'}
+
+plot_fractal(output, **kwargs);
<Figure size 600x600 with 2 Axes>

Note that you sometimes have to play with the radius in order to get a neat looking fractal.

Finally, we can go a little bit wild with our function selection

f(z)=∑i=110sini(z)f(z) = \sum_{i=1}^{10} sin^i(z)

dfdz=∑i=110i⋅sini−1(z)⋅cos(z)\frac{df}{dz} = \sum_{i=1}^{10} i \cdot sin^{i-1}(z) \cdot cos(z)

def sin_sum(z, n=10):
+    total = np.zeros(z.size, dtype=z.dtype)
+    for i in range(1, n+1):
+        total += np.power(np.sin(z), i)
+    return total
+
+
+def d_sin_sum(z, n=10):
+    total = np.zeros(z.size, dtype=z.dtype)
+    for i in range(1, n+1):
+        total += i * np.power(np.sin(z), i-1) * np.cos(z)
+    return total

We will denote this one ‘Wacky fractal’, as its equation would not be fun to try and put in the title.

output = newton_fractal(small_mesh, sin_sum, d_sin_sum, num_iter=10, r=1)
+kwargs = {'title': 'Wacky \\ fractal', 'figsize': (6, 6), 'extent': [-1, 1, -1, 1], 'cmap': 'terrain'}
+
+plot_fractal(output, **kwargs)
<Figure size 600x600 with 2 Axes>

It is truly fascinating how distinct yet similar these fractals are with each other. This leads us to the final section.

Creating your own fractals

What makes fractals more exciting is how much there is to explore once you become familiar with the basics. Now we will wrap up our tutorial by exploring some of the different ways one can experiment in creating unique fractals. I encourage you to try some things out on your own (if you have not done so already).

One of the first places to experiment would be with the function for the generalized Julia set, where we can try passing in different functions as parameters.

Let’s start by choosing

f(z)=tan(z2)f(z) = tan(z^2)

def f(z):
+    return np.tan(np.square(z))
output = general_julia(mesh, f=f, num_iter=15, radius=2.1)
+kwargs = {'title': 'f(z) = tan(z^2)', 'cmap': 'gist_stern'}
+
+plot_fractal(output, **kwargs);
<Figure size 600x600 with 2 Axes>

What happens if we compose our defined function inside of a sine function?

Let’s try defining

g(z)=sin(f(z))=sin(tan(z2))g(z) = sin(f(z)) = sin(tan(z^2))

def g(z):
+    return np.sin(f(z))
output = general_julia(mesh, f=g, num_iter=15, radius=2.1)
+kwargs = {'title': 'g(z) = sin(tan(z^2))', 'cmap': 'plasma_r'}
+
+plot_fractal(output, **kwargs);
<Figure size 600x600 with 2 Axes>

Next, let’s create a function that applies both f and g to the inputs each iteration and adds the result together:

h(z)=f(z)+g(z)=tan(z2)+sin(tan(z2))h(z) = f(z) + g(z) = tan(z^2) + sin(tan(z^2))

def h(z):
+    return f(z) + g(z)
output = general_julia(small_mesh, f=h, num_iter=10, radius=2.1)
+kwargs = {'title': 'h(z) = tan(z^2) + sin(tan(z^2))', 'figsize': (7, 7), 'extent': [-1, 1, -1, 1], 'cmap': 'jet'}
+
+plot_fractal(output, **kwargs);
<Figure size 700x700 with 2 Axes>

You can even create beautiful fractals through your own errors. Here is one that got created accidently by making a mistake in computing the derivative of a Newton fractal:

def accident(z):
+    return z - (2 * np.power(np.tan(z), 2) / (np.sin(z) * np.cos(z)))
output = general_julia(mesh, f=accident, num_iter=15, c=0, radius=np.pi)
+kwargs = {'title': 'Accidental \\ fractal', 'cmap': 'Blues'}
+
+plot_fractal(output, **kwargs);
<Figure size 600x600 with 2 Axes>

Needless to say, there are a nearly endless supply of interesting fractal creations that can be made just by playing around with various combinations of NumPy universal functions and by tinkering with the parameters.

In conclusion

We learned a lot about generating fractals today. We saw how complicated fractals requiring many iterations could be computed efficiently using universal functions. We also took advantage of boolean indexing, which allowed for less computations to be made without having to individually verify each value. Finally, we learned a lot about fractals themselves. As a recap:

  • Fractal images are created by iterating a function over a set of values, and keeping tally of how long it takes for each value to pass a certain threshold

  • The colours in the image correspond to the tally counts of the values

  • The filled-in Julia set for cc consists of all complex numbers z in which f(z)=z2+cf(z) = z^2 + c converges

  • The Julia set for cc is the set of complex numbers that make up the boundary of the filled-in Julia set

  • The Mandelbrot set is all values cc in which f(z)=z2+cf(z) = z^2 + c converges at 0

  • Newton fractals use functions of the form f(z)=z−p(z)p′(z)f(z) = z - \frac{p(z)}{p'(z)}

  • The fractal images can vary as you adjust the number of iterations, radius of convergence, mesh size, colours, function choice and parameter choice

On your own

  • Play around with the parameters of the generalized Julia set function, try playing with the constant value, number of iterations, function choice, radius, and colour choice.

  • Visit the “List of fractals by Hausdorff dimension” Wikipedia page (linked in the Further reading section) and try writing a function for a fractal not mentioned in this tutorial.

Further reading

Applications
Static Equilibrium
Applications
Analyzing Air Quality
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","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"a4e33f4119a68073bd21963375da536e","path":"/numpy-tutorials/build/a4e33f4119a68073bd21963375da536e.png"}}},"key":"tH7tfgHNLX"}],"key":"kaBOOnFqL0"}],"key":"dSU1r49A4q"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"children":[{"type":"text","value":"There are two forces emanating from a single point. In order to simplify this problem, you can add them together to find the sum of forces. Note that both ","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"key":"W6lk6MwFNV"},{"type":"inlineCode","value":"forceA","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"key":"lWHPgdVVX8"},{"type":"text","value":" and ","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"key":"w5Y1C7IuPb"},{"type":"inlineCode","value":"forceB","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"key":"fFNgbjscF7"},{"type":"text","value":" are three-dimensional vectors, represented by NumPy as arrays with three components. Because NumPy is meant to simplify and optimize operations between vectors, you can easily compute the sum of these two vectors as follows:","position":{"start":{"line":103,"column":1},"end":{"line":103,"column":1}},"key":"sNwuYDe7LR"}],"key":"xgdIHKAPaU"}],"key":"noFVowlnKY"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"forceC = forceA + forceB\nprint(\"Force C =\", forceC)","key":"QGpAsWFr9D"},{"type":"outputs","id":"5mTO2maTdK0zbmrGYkWF5","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Force C = [1 1 0]\n"},"key":"VO8nftwlCa"}],"key":"WqR3yjtpDM"}],"key":"Yo2ADAB8Q5"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":110,"column":1},"end":{"line":111,"column":1}},"children":[{"type":"text","value":"Force C now acts as a single force that represents both A and B.\nYou can plot it to see the result.","position":{"start":{"line":110,"column":1},"end":{"line":110,"column":1}},"key":"Fx9hFKWIPp"}],"key":"oYXaNZn2bZ"}],"key":"hmZUdCMlps"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"fig = plt.figure()\n\nd3 = fig.add_subplot(projection=\"3d\")\n\nd3.set_xlim(-1, 1)\nd3.set_ylim(-1, 1)\nd3.set_zlim(-1, 1)\n\nx, y, z = np.array([0, 0, 0])\n\nu, v, w = forceA\nd3.quiver(x, y, z, u, v, w, color=\"r\", label=\"forceA\")\nu, v, w = forceB\nd3.quiver(x, y, z, u, v, w, color=\"b\", label=\"forceB\")\nu, v, w = forceC\nd3.quiver(x, y, z, u, v, w, color=\"g\", label=\"forceC\")\n\nd3.legend()","key":"xu0Z4W8c45"},{"type":"outputs","id":"Ys11ALHjnFjhn_dmP6eHA","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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ones.","position":{"start":{"line":134,"column":1},"end":{"line":134,"column":1}},"key":"DtgQg96hpG"}],"key":"Yc5CrGrt2E"},{"type":"paragraph","position":{"start":{"line":138,"column":1},"end":{"line":138,"column":1}},"children":[{"type":"text","value":"You can write this problem as ","position":{"start":{"line":138,"column":1},"end":{"line":138,"column":1}},"key":"brBEXER8QK"},{"type":"inlineMath","value":"A+B+R=0","position":{"start":{"line":138,"column":1},"end":{"line":138,"column":1}},"html":"A+B+R=0A+B+R=0A+B+R=0","key":"P0jqLuVxeZ"},{"type":"text","value":", with ","position":{"start":{"line":138,"column":1},"end":{"line":138,"column":1}},"key":"eEWvUHAxM7"},{"type":"inlineMath","value":"R","position":{"start":{"line":138,"column":1},"end":{"line":138,"column":1}},"html":"RRR","key":"tAzYPtXLZm"},{"type":"text","value":" being the reaction force that solves the 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","position":{"start":{"line":144,"column":1},"end":{"line":144,"column":1}},"key":"nSKpUZY6a9"},{"type":"inlineMath","value":"x","position":{"start":{"line":144,"column":1},"end":{"line":144,"column":1}},"html":"xxx","key":"jYXQv9KsgN"},{"type":"text","value":", ","position":{"start":{"line":144,"column":1},"end":{"line":144,"column":1}},"key":"UAOOGJuqmO"},{"type":"inlineMath","value":"y","position":{"start":{"line":144,"column":1},"end":{"line":144,"column":1}},"html":"yyy","key":"df5MBRJOFF"},{"type":"text","value":", and ","position":{"start":{"line":144,"column":1},"end":{"line":144,"column":1}},"key":"DOFbp4SjTC"},{"type":"inlineMath","value":"z","position":{"start":{"line":144,"column":1},"end":{"line":144,"column":1}},"html":"zzz","key":"OxirUfi5aS"},{"type":"text","value":" components this gives 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","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"key":"BlzSDl3B6F"},{"type":"inlineMath","value":"R_y","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"html":"RyR_yRy​","key":"gFQo3sjas3"},{"type":"text","value":", and ","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"key":"ZKS735OX2R"},{"type":"inlineMath","value":"R_z","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"html":"RzR_zRz​","key":"UcJP2xFTd0"},{"type":"text","value":" gives you a vector ","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"key":"U9ipF2ZINZ"},{"type":"inlineMath","value":"R","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"html":"RRR","key":"fZCQtRWjR5"},{"type":"text","value":" of ","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"key":"yBrzaPa8AA"},{"type":"inlineMath","value":"(-1, -1, 0)","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"html":"(−1,−1,0)(-1, -1, 0)(−1,−1,0)","key":"QWXl6ZUwU2"},{"type":"text","value":".","position":{"start":{"line":152,"column":1},"end":{"line":152,"column":1}},"key":"xC0dALzepY"}],"key":"J0tCzoPdYk"},{"type":"paragraph","position":{"start":{"line":155,"column":1},"end":{"line":156,"column":1}},"children":[{"type":"text","value":"If plotted, the forces seen in prior examples should be nullified.\nOnly if there is no force remaining is the system considered to be in equilibrium.","position":{"start":{"line":155,"column":1},"end":{"line":155,"column":1}},"key":"Jk70cEz1F5"}],"key":"PsSUZ6Pe4H"}],"key":"b2eiDXQFVC"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"R = np.array([-1, -1, 0])\n\nfig = plt.figure()\n\nd3.set_xlim(-1, 1)\nd3.set_ylim(-1, 1)\nd3.set_zlim(-1, 1)\n\nd3 = fig.add_subplot(projection=\"3d\")\n\nx, y, z = np.array([0, 0, 0])\n\nu, v, w = forceA + forceB + R # add them all together for sum of forces\nd3.quiver(x, y, z, u, v, w)","key":"Puzc1CJ8Yl"},{"type":"outputs","id":"bTO9yF6CC9k2tbVnWZun_","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":6,"metadata":{},"data":{"text/plain":{"content":"","content_type":"text/plain"}}},"key":"cilLphFyFM"},{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
","content_type":"text/plain"},"image/png":{"content_type":"image/png","hash":"ac6102baef814fc32deba9ea495141c6","path":"/numpy-tutorials/build/ac6102baef814fc32deba9ea495141c6.png"}}},"key":"LApR6Mk0Is"}],"key":"AF9KeAvAxS"}],"key":"CXq7LZhqnW"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":175,"column":1},"end":{"line":175,"column":1}},"children":[{"type":"text","value":"The empty graph signifies that there are no outlying forces. This denotes a system in equilibrium.","position":{"start":{"line":175,"column":1},"end":{"line":175,"column":1}},"key":"iZCtytMwXm"}],"key":"m8HMg7dtri"},{"type":"heading","depth":2,"position":{"start":{"line":178,"column":1},"end":{"line":178,"column":1}},"children":[{"type":"text","value":"Solving Equilibrium as a sum of moments","position":{"start":{"line":178,"column":1},"end":{"line":178,"column":1}},"key":"lUEYbvj4td"}],"identifier":"solving-equilibrium-as-a-sum-of-moments","label":"Solving Equilibrium as a sum of moments","html_id":"solving-equilibrium-as-a-sum-of-moments","implicit":true,"key":"evQo6ubIn8"},{"type":"paragraph","position":{"start":{"line":180,"column":1},"end":{"line":181,"column":1}},"children":[{"type":"text","value":"Next let’s move to a more complicated application.\nWhen forces are not all applied at the same point, moments are created.","position":{"start":{"line":180,"column":1},"end":{"line":180,"column":1}},"key":"M95VMFHuMM"}],"key":"HQfaJRuIkR"},{"type":"paragraph","position":{"start":{"line":183,"column":1},"end":{"line":183,"column":1}},"children":[{"type":"text","value":"Similar to forces, these moments must all sum to zero, otherwise rotational acceleration will be experienced. Similar to the sum of forces, this creates a linear equation for each of the three coordinate directions in space.","position":{"start":{"line":183,"column":1},"end":{"line":183,"column":1}},"key":"h1zdLMUX39"}],"key":"vG4cx57VvC"},{"type":"paragraph","position":{"start":{"line":185,"column":1},"end":{"line":188,"column":1}},"children":[{"type":"text","value":"A simple example of this would be from a force applied to a stationary pole secured in the ground.\nThe pole does not move, so it must apply a reaction force.\nThe pole also does not rotate, so it must also be creating a reaction moment.\nSolve for both the reaction force and moments.","position":{"start":{"line":185,"column":1},"end":{"line":185,"column":1}},"key":"wzDCw6572G"}],"key":"yRqW3LIcRW"},{"type":"paragraph","position":{"start":{"line":190,"column":1},"end":{"line":190,"column":1}},"children":[{"type":"text","value":"Let’s say a 5N force is applied perpendicularly 2m above the base of the pole.","position":{"start":{"line":190,"column":1},"end":{"line":190,"column":1}},"key":"BsBheq9MnQ"}],"key":"AgsTCOrmkP"}],"key":"PmP2XNHij4"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"f = 5 # Force in newtons\nL = 2 # Length of the pole\n\nR = 0 - f\nM = 0 - f * L\nprint(\"Reaction force =\", R)\nprint(\"Reaction moment =\", M)","key":"U8Qx7T6Ss5"},{"type":"outputs","id":"zthBpSDjKU5VrUK-OcfM4","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Reaction force = -5\nReaction moment = -10\n"},"key":"VeG3bpYSXl"}],"key":"a5c99AsNbW"}],"key":"XpU89F1A8K"},{"type":"block","children":[{"type":"heading","depth":2,"position":{"start":{"line":202,"column":1},"end":{"line":202,"column":1}},"children":[{"type":"text","value":"Finding values with physical properties","position":{"start":{"line":202,"column":1},"end":{"line":202,"column":1}},"key":"lmK1FtmtsZ"}],"identifier":"finding-values-with-physical-properties","label":"Finding values with physical properties","html_id":"finding-values-with-physical-properties","implicit":true,"key":"IvNjcrolZR"},{"type":"paragraph","position":{"start":{"line":204,"column":1},"end":{"line":205,"column":1}},"children":[{"type":"text","value":"Let’s say that instead of a force acting perpendicularly to the beam, a force was applied to our pole through a wire that was also attached to the ground.\nGiven the tension in this cord, all you need to solve this problem are the physical locations of these objects.","position":{"start":{"line":204,"column":1},"end":{"line":204,"column":1}},"key":"x5krstFAon"}],"key":"JjvhA3gDsY"},{"type":"image","url":"/numpy-tutorials/build/static_eqbm-fig01-ee029c471a69f4e98c09d962ac7d60dd.png","alt":"Image representing the problem","position":{"start":{"line":207,"column":1},"end":{"line":207,"column":1}},"key":"uTR9SdGMoy","urlSource":"_static/static_eqbm-fig01.png"},{"type":"paragraph","position":{"start":{"line":209,"column":1},"end":{"line":209,"column":1}},"children":[{"type":"text","value":"In response to the forces acting upon the pole, the base generated reaction forces in the x and y directions, as well as a reaction moment.","position":{"start":{"line":209,"column":1},"end":{"line":209,"column":1}},"key":"zt4PRJI3hP"}],"key":"FCFZUJrOlI"},{"type":"paragraph","position":{"start":{"line":211,"column":1},"end":{"line":212,"column":1}},"children":[{"type":"text","value":"Denote the base of the pole as the origin.\nNow, say the cord is attached to the ground 3m in the x direction and attached to the pole 2m up, in the z direction.","position":{"start":{"line":211,"column":1},"end":{"line":211,"column":1}},"key":"RXjLU92R9c"}],"key":"XeCAOpL3vh"},{"type":"paragraph","position":{"start":{"line":214,"column":1},"end":{"line":214,"column":1}},"children":[{"type":"text","value":"Define these points in space as NumPy arrays, and then use those arrays to find directional vectors.","position":{"start":{"line":214,"column":1},"end":{"line":214,"column":1}},"key":"e4CUmRb9cI"}],"key":"aUrD6wRQOE"}],"key":"SmlAS6nSMb"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"poleBase = np.array([0, 0, 0])\ncordBase = np.array([3, 0, 0])\ncordConnection = np.array([0, 0, 2])\n\npoleDirection = cordConnection - poleBase\nprint(\"Pole direction =\", poleDirection)\ncordDirection = cordBase - cordConnection\nprint(\"Cord direction =\", cordDirection)","key":"ifgkkSOrSy"},{"type":"outputs","id":"UdxGNKDIimP1Gi_BSWgtl","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Pole direction = [0 0 2]\nCord direction = [ 3 0 -2]\n"},"key":"TfAq3Vh0vQ"}],"key":"vhHlumFC9X"}],"key":"gjPfZlaK2Y"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":227,"column":1},"end":{"line":228,"column":1}},"children":[{"type":"text","value":"In order to use these vectors in relation to forces you need to convert them into unit vectors.\nUnit vectors have a magnitude of one, and convey only the direction of the forces.","position":{"start":{"line":227,"column":1},"end":{"line":227,"column":1}},"key":"aaeQgSV8EA"}],"key":"eUYsYjwBh7"}],"key":"MxV8NIMr7h"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"cordUnit = cordDirection / np.linalg.norm(cordDirection)\nprint(\"Cord unit vector =\", cordUnit)","key":"Iw7Obhk4CB"},{"type":"outputs","id":"RLMxyoNIXh-yOX1qQeLwm","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Cord unit vector = [ 0.83205029 0. -0.5547002 ]\n"},"key":"gEUKumcP4c"}],"key":"Ms7Z5lMW2h"}],"key":"nwC3ajHJ6F"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":235,"column":1},"end":{"line":235,"column":1}},"children":[{"type":"text","value":"You can then multiply this direction with the magnitude of the force in order to find the force vector.","position":{"start":{"line":235,"column":1},"end":{"line":235,"column":1}},"key":"dzGraRhtAb"}],"key":"t0wQjzvCXR"},{"type":"paragraph","position":{"start":{"line":237,"column":1},"end":{"line":237,"column":1}},"children":[{"type":"text","value":"Let’s say the cord has a tension of 5N:","position":{"start":{"line":237,"column":1},"end":{"line":237,"column":1}},"key":"oIvzlNeDKn"}],"key":"tYWfNR4FMG"}],"key":"x6CE3glqte"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"cordTension = 5\nforceCord = cordUnit * cordTension\nprint(\"Force from the cord =\", forceCord)","key":"oq3CoW9TPm"},{"type":"outputs","id":"DRVYBLUM4zs77OMgbnQ6O","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Force from the cord = [ 4.16025147 0. -2.77350098]\n"},"key":"VlDJvfIkPw"}],"key":"niR2SLjSZT"}],"key":"qJlEB0URji"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":245,"column":1},"end":{"line":245,"column":1}},"children":[{"type":"text","value":"In order to find the moment you need the cross product of the force vector and the radius.","position":{"start":{"line":245,"column":1},"end":{"line":245,"column":1}},"key":"S1zjpDNB0J"}],"key":"HKcxWZUFtG"}],"key":"hM9niflvyW"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"momentCord = np.cross(forceCord, poleDirection)\nprint(\"Moment from the cord =\", momentCord)","key":"t0ng4J81YV"},{"type":"outputs","id":"Cuoybketkz0tIC7ILhCs5","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Moment from the cord = [ 0. -8.32050294 0. ]\n"},"key":"Z2ePJ7APLz"}],"key":"PbzBbd8YxZ"}],"key":"bGxiGZqap4"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":252,"column":1},"end":{"line":252,"column":1}},"children":[{"type":"text","value":"Now all you need to do is find the reaction force and moment.","position":{"start":{"line":252,"column":1},"end":{"line":252,"column":1}},"key":"WpJpJp5nt2"}],"key":"k3Psw5E4qC"}],"key":"PeN66ZyeIG"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"equilibrium = np.array([0, 0, 0])\nR = equilibrium - forceCord\nM = equilibrium - momentCord\nprint(\"Reaction force =\", R)\nprint(\"Reaction moment =\", M)","key":"yyYAaQk8gG"},{"type":"outputs","id":"IKoGR1Q4a-AacDMjCOIH6","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"Reaction force = [-4.16025147 0. 2.77350098]\nReaction moment = [0. 8.32050294 0. ]\n"},"key":"wgj5JMHzG7"}],"key":"TO8ygqrIEG"}],"key":"lYZJ8tyG4Q"},{"type":"block","children":[{"type":"heading","depth":3,"position":{"start":{"line":262,"column":1},"end":{"line":262,"column":1}},"children":[{"type":"text","value":"Another Example","position":{"start":{"line":262,"column":1},"end":{"line":262,"column":1}},"key":"bvnmSXZgH7"}],"identifier":"another-example","label":"Another Example","html_id":"another-example","implicit":true,"key":"XA8OlOJZb8"},{"type":"paragraph","position":{"start":{"line":263,"column":1},"end":{"line":263,"column":1}},"children":[{"type":"text","value":"Let’s look at a slightly more complicated model. In this example you will be observing a beam with two cables and an applied force. This time you need to find both the tension in the cords and the reaction forces of the beam. ","position":{"start":{"line":263,"column":1},"end":{"line":263,"column":1}},"key":"IkAyTNBBPx"},{"type":"emphasis","position":{"start":{"line":263,"column":1},"end":{"line":263,"column":1}},"children":[{"type":"text","value":"(Source: ","position":{"start":{"line":263,"column":1},"end":{"line":263,"column":1}},"key":"Nh0OOYrO70"},{"type":"link","url":"https://www.mheducation.com/highered/product/Vector-Mechanics-for-Engineers-Statics-and-Dynamics-Beer.html","position":{"start":{"line":263,"column":1},"end":{"line":263,"column":1}},"children":[{"type":"text","value":"Vector Mechanics for Engineers: Statics and Dynamics","position":{"start":{"line":263,"column":1},"end":{"line":263,"column":1}},"key":"pvnx0K07Jz"}],"urlSource":"https://www.mheducation.com/highered/product/Vector-Mechanics-for-Engineers-Statics-and-Dynamics-Beer.html","key":"JN6WHpaGQS"},{"type":"text","value":", Problem 4.106)","position":{"start":{"line":263,"column":1},"end":{"line":263,"column":1}},"key":"JslhJKylF5"}],"key":"mOTcluUEVw"}],"key":"aFV39ImYiG"},{"type":"image","url":"/numpy-tutorials/build/problem4-98b2af0b05614d3695278a22cfcda74d.png","alt":"image.png","position":{"start":{"line":266,"column":1},"end":{"line":266,"column":1}},"key":"xzKpDy3dFF","urlSource":"_static/problem4.png"},{"type":"paragraph","position":{"start":{"line":268,"column":1},"end":{"line":268,"column":1}},"children":[{"type":"text","value":"Define distance ","position":{"start":{"line":268,"column":1},"end":{"line":268,"column":1}},"key":"CunDuacuya"},{"type":"emphasis","position":{"start":{"line":268,"column":1},"end":{"line":268,"column":1}},"children":[{"type":"text","value":"a","position":{"start":{"line":268,"column":1},"end":{"line":268,"column":1}},"key":"laKo4LDRN8"}],"key":"XJOzbHJU2X"},{"type":"text","value":" as 3 meters","position":{"start":{"line":268,"column":1},"end":{"line":268,"column":1}},"key":"B1DADpA3zO"}],"key":"uIFYbthcLY"},{"type":"paragraph","position":{"start":{"line":271,"column":1},"end":{"line":271,"column":1}},"children":[{"type":"text","value":"As before, start by defining the location of each relevant point as an array.","position":{"start":{"line":271,"column":1},"end":{"line":271,"column":1}},"key":"MsrUSaJp8S"}],"key":"exIhMVli7W"}],"key":"aGhrerrGEl"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"A = np.array([0, 0, 0])\nB = np.array([0, 3, 0])\nC = np.array([0, 6, 0])\nD = np.array([1.5, 0, -3])\nE = np.array([1.5, 0, 3])\nF = np.array([-3, 0, 2])","key":"CVT0QZizBp"},{"type":"outputs","id":"prRYSnKlFQv8M9pwZs36w","children":[],"key":"mH3JqAgfXq"}],"key":"O1PgqF6Apt"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"children":[{"type":"text","value":"From these equations, you start by determining vector directions with unit vectors.","position":{"start":{"line":282,"column":1},"end":{"line":282,"column":1}},"key":"jrcG18sh7O"}],"key":"FXpLepHk56"}],"key":"tnjX3nbIZO"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"AB = B - C\nAC = C - A\nBD = D - B\nBE = E - B\nCF = F - C\n\nUnitBD = BD / np.linalg.norm(BD)\nUnitBE = BE / np.linalg.norm(BE)\nUnitCF = CF / np.linalg.norm(CF)\n\nRadBD = np.cross(AB, UnitBD)\nRadBE = np.cross(AB, UnitBE)\nRadCF = np.cross(AC, UnitCF)","key":"T6uRiJSx18"},{"type":"outputs","id":"Q2wAylbw5gssM2MaiZLFA","children":[],"key":"VoKVqlg2uW"}],"key":"IYXOpI44En"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":300,"column":1},"end":{"line":300,"column":1}},"children":[{"type":"text","value":"This lets you represent the tension (T) and reaction (R) forces acting on the system as","position":{"start":{"line":300,"column":1},"end":{"line":300,"column":1}},"key":"JzgFEcuGEB"}],"key":"tFYO9SKfPK"},{"type":"math","value":"\\left[\n\\begin{array}{ccccc}\n~1/3 & 1/3 & 1 & 0 & 0\\\\\n-2/3 & -2/3 & 0 & 1 & 0\\\\\n-2/3 & 2/3 & 0 & 0 & 1\\\\\n\\end{array}\n\\right]\n\\left[\n\\begin{array}{c}\n~T_{BD}\\\\\nT_{BE}\\\\\nR_{x}\\\\\nR_{y}\\\\\nR_{z}\\\\\n\\end{array}\n\\right]\n=\n\\left[\n\\begin{array}{c}\n~195\\\\\n390\\\\\n-130\\\\\n\\end{array}\n\\right]","position":{"start":{"line":302,"column":1},"end":{"line":325,"column":1}},"html":"[ 1/31/3100−2/3−2/3010−2/32/3001][ TBDTBERxRyRz]=[ 195390−130]\\left[\n\\begin{array}{ccccc}\n~1/3 & 1/3 & 1 & 0 & 0\\\\\n-2/3 & -2/3 & 0 & 1 & 0\\\\\n-2/3 & 2/3 & 0 & 0 & 1\\\\\n\\end{array}\n\\right]\n\\left[\n\\begin{array}{c}\n~T_{BD}\\\\\nT_{BE}\\\\\nR_{x}\\\\\nR_{y}\\\\\nR_{z}\\\\\n\\end{array}\n\\right]\n=\n\\left[\n\\begin{array}{c}\n~195\\\\\n390\\\\\n-130\\\\\n\\end{array}\n\\right]⎣⎡​ 1/3−2/3−2/3​1/3−2/32/3​100​010​001​⎦⎤​⎣⎡​ TBD​TBE​Rx​Ry​Rz​​⎦⎤​=⎣⎡​ 195390−130​⎦⎤​","enumerator":"7","key":"P0Q5k1eCs0"},{"type":"paragraph","position":{"start":{"line":327,"column":1},"end":{"line":327,"column":1}},"children":[{"type":"text","value":"and the moments as","position":{"start":{"line":327,"column":1},"end":{"line":327,"column":1}},"key":"JUUTJ5RbJg"}],"key":"QABzLPoJDJ"},{"type":"math","value":"\\left[\n\\begin{array}{cc}\n~2 & -2\\\\\n1 & 1\\\\\n\\end{array}\n\\right]\n\\left[\n\\begin{array}{c}\n~T_{BD}\\\\\nT_{BE}\\\\\n\\end{array}\n\\right]\n=\n\\left[\n\\begin{array}{c}\n~780\\\\\n1170\\\\\n\\end{array}\n\\right]","position":{"start":{"line":329,"column":1},"end":{"line":347,"column":1}},"html":"[ 2−211][ TBDTBE]=[ 7801170]\\left[\n\\begin{array}{cc}\n~2 & -2\\\\\n1 & 1\\\\\n\\end{array}\n\\right]\n\\left[\n\\begin{array}{c}\n~T_{BD}\\\\\nT_{BE}\\\\\n\\end{array}\n\\right]\n=\n\\left[\n\\begin{array}{c}\n~780\\\\\n1170\\\\\n\\end{array}\n\\right][ 21​−21​][ TBD​TBE​​]=[ 7801170​]","enumerator":"8","key":"FArSnHTune"},{"type":"paragraph","position":{"start":{"line":349,"column":1},"end":{"line":349,"column":1}},"children":[{"type":"text","value":"Where ","position":{"start":{"line":349,"column":1},"end":{"line":349,"column":1}},"key":"EuutdRkEOC"},{"type":"inlineMath","value":"T","position":{"start":{"line":349,"column":1},"end":{"line":349,"column":1}},"html":"TTT","key":"wtXWkYVnRo"},{"type":"text","value":" is the tension in the respective cord and ","position":{"start":{"line":349,"column":1},"end":{"line":349,"column":1}},"key":"w3A1OGCW9e"},{"type":"inlineMath","value":"R","position":{"start":{"line":349,"column":1},"end":{"line":349,"column":1}},"html":"RRR","key":"N9Rv1Z4A3W"},{"type":"text","value":" is the reaction force in a respective direction. Then you just have six equations:","position":{"start":{"line":349,"column":1},"end":{"line":349,"column":1}},"key":"BAJK3vN3VZ"}],"key":"LTbXd8a9Hx"},{"type":"paragraph","position":{"start":{"line":352,"column":1},"end":{"line":352,"column":1}},"children":[{"type":"inlineMath","value":"\\sum F_{x} = 0 = T_{BE}/3+T_{BD}/3-195+R_{x}","position":{"start":{"line":352,"column":1},"end":{"line":352,"column":1}},"html":"∑Fx=0=TBE/3+TBD/3−195+Rx\\sum F_{x} = 0 = T_{BE}/3+T_{BD}/3-195+R_{x}∑Fx​=0=TBE​/3+TBD​/3−195+Rx​","key":"ViDRpQVowR"}],"key":"CjqbBinbIp"},{"type":"paragraph","position":{"start":{"line":354,"column":1},"end":{"line":354,"column":1}},"children":[{"type":"inlineMath","value":"\\sum F_{y} = 0 = (-\\frac{2}{3})T_{BE}-\\frac{2}{3}T_{BD}-390+R_{y}","position":{"start":{"line":354,"column":1},"end":{"line":354,"column":1}},"html":"∑Fy=0=(−23)TBE−23TBD−390+Ry\\sum F_{y} = 0 = (-\\frac{2}{3})T_{BE}-\\frac{2}{3}T_{BD}-390+R_{y}∑Fy​=0=(−32​)TBE​−32​TBD​−390+Ry​","key":"y1xUptuF2G"}],"key":"QaUJCtcMUP"},{"type":"paragraph","position":{"start":{"line":356,"column":1},"end":{"line":356,"column":1}},"children":[{"type":"inlineMath","value":"\\sum F_{z} = 0 = (-\\frac{2}{3})T_{BE}+\\frac{2}{3}T_{BD}+130+R_{z}","position":{"start":{"line":356,"column":1},"end":{"line":356,"column":1}},"html":"∑Fz=0=(−23)TBE+23TBD+130+Rz\\sum F_{z} = 0 = (-\\frac{2}{3})T_{BE}+\\frac{2}{3}T_{BD}+130+R_{z}∑Fz​=0=(−32​)TBE​+32​TBD​+130+Rz​","key":"cCrZxlKy2z"}],"key":"fPot6aLsoL"},{"type":"paragraph","position":{"start":{"line":358,"column":1},"end":{"line":358,"column":1}},"children":[{"type":"inlineMath","value":"\\sum M_{x} = 0 = 780+2T_{BE}-2T_{BD}","position":{"start":{"line":358,"column":1},"end":{"line":358,"column":1}},"html":"∑Mx=0=780+2TBE−2TBD\\sum M_{x} = 0 = 780+2T_{BE}-2T_{BD}∑Mx​=0=780+2TBE​−2TBD​","key":"Dk9l5AnkcR"}],"key":"Bl3p5w4gFe"},{"type":"paragraph","position":{"start":{"line":360,"column":1},"end":{"line":360,"column":1}},"children":[{"type":"inlineMath","value":"\\sum M_{z} = 0 = 1170-T_{BE}-T_{BD}","position":{"start":{"line":360,"column":1},"end":{"line":360,"column":1}},"html":"∑Mz=0=1170−TBE−TBD\\sum M_{z} = 0 = 1170-T_{BE}-T_{BD}∑Mz​=0=1170−TBE​−TBD​","key":"bEbIzy0Ijn"}],"key":"o7RBTKqZ9M"},{"type":"paragraph","position":{"start":{"line":363,"column":1},"end":{"line":363,"column":1}},"children":[{"type":"text","value":"You now have five unknowns with five equations, and can solve for:","position":{"start":{"line":363,"column":1},"end":{"line":363,"column":1}},"key":"nc3QTkPquU"}],"key":"iOWhZLT7pL"},{"type":"paragraph","position":{"start":{"line":365,"column":1},"end":{"line":365,"column":1}},"children":[{"type":"inlineMath","value":"\\ T_{BD} = 780N","position":{"start":{"line":365,"column":1},"end":{"line":365,"column":1}},"html":" TBD=780N\\ T_{BD} = 780N TBD​=780N","key":"IK2056SFls"}],"key":"GugHYe0zBF"},{"type":"paragraph","position":{"start":{"line":367,"column":1},"end":{"line":367,"column":1}},"children":[{"type":"inlineMath","value":"\\ T_{BE} = 390N","position":{"start":{"line":367,"column":1},"end":{"line":367,"column":1}},"html":" TBE=390N\\ T_{BE} = 390N TBE​=390N","key":"euoYXtNWLt"}],"key":"MK6o2Obvky"},{"type":"paragraph","position":{"start":{"line":369,"column":1},"end":{"line":369,"column":1}},"children":[{"type":"inlineMath","value":"\\ R_{x} = -195N","position":{"start":{"line":369,"column":1},"end":{"line":369,"column":1}},"html":" Rx=−195N\\ R_{x} = -195N Rx​=−195N","key":"YDvG0rC6bC"}],"key":"iEP3K0XyWF"},{"type":"paragraph","position":{"start":{"line":371,"column":1},"end":{"line":371,"column":1}},"children":[{"type":"inlineMath","value":"\\ R_{y} = 1170N","position":{"start":{"line":371,"column":1},"end":{"line":371,"column":1}},"html":" Ry=1170N\\ R_{y} = 1170N Ry​=1170N","key":"jBVYpDO1Db"}],"key":"ia00JaPJYE"},{"type":"paragraph","position":{"start":{"line":373,"column":1},"end":{"line":373,"column":1}},"children":[{"type":"inlineMath","value":"\\ R_{z} = 130N","position":{"start":{"line":373,"column":1},"end":{"line":373,"column":1}},"html":" Rz=130N\\ R_{z} = 130N Rz​=130N","key":"YchQQThlti"}],"key":"YeXBDH1vrG"}],"key":"GTSEmEAemv"},{"type":"block","position":{"start":{"line":375,"column":1},"end":{"line":375,"column":1}},"children":[{"type":"heading","depth":2,"position":{"start":{"line":377,"column":1},"end":{"line":377,"column":1}},"children":[{"type":"text","value":"Wrapping up","position":{"start":{"line":377,"column":1},"end":{"line":377,"column":1}},"key":"YQ4tE68A10"}],"identifier":"wrapping-up","label":"Wrapping up","html_id":"wrapping-up","implicit":true,"key":"iZZGYXTt7q"},{"type":"paragraph","position":{"start":{"line":379,"column":1},"end":{"line":379,"column":1}},"children":[{"type":"text","value":"You have learned how to use arrays to represent points, forces, and moments in three dimensional space. 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Determining Static Equilibrium in NumPy

When analyzing physical structures, it is crucial to understand the mechanics keeping them stable. Applied forces on a floor, a beam, or any other structure, create reaction forces and moments. These reactions are the structure resisting movement without breaking. In cases where structures do not move despite having forces applied to them, Newton’s second law states that both the acceleration and sum of forces in all directions in the system must be zero. You can represent and solve this concept with NumPy arrays.

What you’ll do:

  • In this tutorial, you will use NumPy to create vectors and moments using NumPy arrays

  • Solve problems involving cables and floors holding up structures

  • Write NumPy matrices to isolate unkowns

  • Use NumPy functions to perform linear algebra operations

What you’ll learn:

  • How to represent points, vectors, and moments with NumPy.

  • How to find the normal of vectors

  • Using NumPy to compute matrix calculations

What you’ll need:

imported with the following comands:

import numpy as np
+import matplotlib.pyplot as plt

In this tutorial you will use the following NumPy tools:

  • np.linalg.norm : this function determines the measure of vector magnitude

  • np.cross : this function takes two matrices and produces the cross product

Solving equilibrium with Newton’s second law

Your model consists of a beam under a sum of forces and moments. You can start analyzing this system with Newton’s second law:

∑force=mass×acceleration.\sum{\text{force}} = \text{mass} \times \text{acceleration}.
(1)

In order to simplify the examples looked at, assume they are static, with acceleration =0=0. Due to our system existing in three dimensions, consider forces being applied in each of these dimensions. This means that you can represent these forces as vectors. You come to the same conclusion for moments, which result from forces being applied a certain distance away from an object’s center of mass.

Assume that the force FF is represented as a three-dimensional vector

F=(Fx,Fy,Fz)F = (F_x, F_y, F_z)
(2)

where each of the three components represent the magnitude of the force being applied in each corresponding direction. Assume also that each component in the vector

r=(rx,ry,rz)r = (r_x, r_y, r_z)
(3)

is the distance between the point where each component of the force is applied and the centroid of the system. Then, the moment can be computed by

r×F=(rx,ry,rz)×(Fx,Fy,Fz).r \times F = (r_x, r_y, r_z) \times (F_x, F_y, F_z).
(4)

Start with some simple examples of force vectors

forceA = np.array([1, 0, 0])
+forceB = np.array([0, 1, 0])
+print("Force A =", forceA)
+print("Force B =", forceB)
Force A = [1 0 0]
+Force B = [0 1 0]
+

This defines forceA as being a vector with magnitude of 1 in the xx direction and forceB as magnitude 1 in the yy direction.

It may be helpful to visualize these forces in order to better understand how they interact with each other. +Matplotlib is a library with visualization tools that can be utilized for this purpose. +Quiver plots will be used to demonstrate three dimensional vectors, but the library can also be used for two dimensional demonstrations.

fig = plt.figure()
+
+d3 = fig.add_subplot(projection="3d")
+
+d3.set_xlim(-1, 1)
+d3.set_ylim(-1, 1)
+d3.set_zlim(-1, 1)
+
+x, y, z = np.array([0, 0, 0])  # defining the point of application.  Make it the origin
+
+u, v, w = forceA  # breaking the force vector into individual components
+d3.quiver(x, y, z, u, v, w, color="r", label="forceA")
+
+u, v, w = forceB
+d3.quiver(x, y, z, u, v, w, color="b", label="forceB")
+
+d3.legend()
<Figure size 640x480 with 1 Axes>

There are two forces emanating from a single point. In order to simplify this problem, you can add them together to find the sum of forces. Note that both forceA and forceB are three-dimensional vectors, represented by NumPy as arrays with three components. Because NumPy is meant to simplify and optimize operations between vectors, you can easily compute the sum of these two vectors as follows:

forceC = forceA + forceB
+print("Force C =", forceC)
Force C = [1 1 0]
+

Force C now acts as a single force that represents both A and B. +You can plot it to see the result.

fig = plt.figure()
+
+d3 = fig.add_subplot(projection="3d")
+
+d3.set_xlim(-1, 1)
+d3.set_ylim(-1, 1)
+d3.set_zlim(-1, 1)
+
+x, y, z = np.array([0, 0, 0])
+
+u, v, w = forceA
+d3.quiver(x, y, z, u, v, w, color="r", label="forceA")
+u, v, w = forceB
+d3.quiver(x, y, z, u, v, w, color="b", label="forceB")
+u, v, w = forceC
+d3.quiver(x, y, z, u, v, w, color="g", label="forceC")
+
+d3.legend()
<Figure size 640x480 with 1 Axes>

However, the goal is equilibrium. +This means that you want your sum of forces to be (0,0,0)(0, 0, 0) or else your object will experience acceleration. +Therefore, there needs to be another force that counteracts the prior ones.

You can write this problem as A+B+R=0A+B+R=0, with RR being the reaction force that solves the problem.

In this example this would mean:

(1,0,0)+(0,1,0)+(Rx,Ry,Rz)=(0,0,0)(1, 0, 0) + (0, 1, 0) + (R_x, R_y, R_z) = (0, 0, 0)
(5)

Broken into xx, yy, and zz components this gives you:

{1+0+Rx=00+1+Ry=00+0+Rz=0\begin{cases} +1+0+R_x=0\\ +0+1+R_y=0\\ +0+0+R_z=0 +\end{cases}
(6)

solving for RxR_x, RyR_y, and RzR_z gives you a vector RR of (−1,−1,0)(-1, -1, 0).

If plotted, the forces seen in prior examples should be nullified. +Only if there is no force remaining is the system considered to be in equilibrium.

R = np.array([-1, -1, 0])
+
+fig = plt.figure()
+
+d3.set_xlim(-1, 1)
+d3.set_ylim(-1, 1)
+d3.set_zlim(-1, 1)
+
+d3 = fig.add_subplot(projection="3d")
+
+x, y, z = np.array([0, 0, 0])
+
+u, v, w = forceA + forceB + R  # add them all together for sum of forces
+d3.quiver(x, y, z, u, v, w)
<mpl_toolkits.mplot3d.art3d.Line3DCollection at 0x7f665c7d05c0>
<Figure size 640x480 with 1 Axes>

The empty graph signifies that there are no outlying forces. This denotes a system in equilibrium.

Solving Equilibrium as a sum of moments

Next let’s move to a more complicated application. +When forces are not all applied at the same point, moments are created.

Similar to forces, these moments must all sum to zero, otherwise rotational acceleration will be experienced. Similar to the sum of forces, this creates a linear equation for each of the three coordinate directions in space.

A simple example of this would be from a force applied to a stationary pole secured in the ground. +The pole does not move, so it must apply a reaction force. +The pole also does not rotate, so it must also be creating a reaction moment. +Solve for both the reaction force and moments.

Let’s say a 5N force is applied perpendicularly 2m above the base of the pole.

f = 5  # Force in newtons
+L = 2  # Length of the pole
+
+R = 0 - f
+M = 0 - f * L
+print("Reaction force =", R)
+print("Reaction moment =", M)
Reaction force = -5
+Reaction moment = -10
+

Finding values with physical properties

Let’s say that instead of a force acting perpendicularly to the beam, a force was applied to our pole through a wire that was also attached to the ground. +Given the tension in this cord, all you need to solve this problem are the physical locations of these objects.

Image representing the problem

In response to the forces acting upon the pole, the base generated reaction forces in the x and y directions, as well as a reaction moment.

Denote the base of the pole as the origin. +Now, say the cord is attached to the ground 3m in the x direction and attached to the pole 2m up, in the z direction.

Define these points in space as NumPy arrays, and then use those arrays to find directional vectors.

poleBase = np.array([0, 0, 0])
+cordBase = np.array([3, 0, 0])
+cordConnection = np.array([0, 0, 2])
+
+poleDirection = cordConnection - poleBase
+print("Pole direction =", poleDirection)
+cordDirection = cordBase - cordConnection
+print("Cord direction =", cordDirection)
Pole direction = [0 0 2]
+Cord direction = [ 3  0 -2]
+

In order to use these vectors in relation to forces you need to convert them into unit vectors. +Unit vectors have a magnitude of one, and convey only the direction of the forces.

cordUnit = cordDirection / np.linalg.norm(cordDirection)
+print("Cord unit vector =", cordUnit)
Cord unit vector = [ 0.83205029  0.         -0.5547002 ]
+

You can then multiply this direction with the magnitude of the force in order to find the force vector.

Let’s say the cord has a tension of 5N:

cordTension = 5
+forceCord = cordUnit * cordTension
+print("Force from the cord =", forceCord)
Force from the cord = [ 4.16025147  0.         -2.77350098]
+

In order to find the moment you need the cross product of the force vector and the radius.

momentCord = np.cross(forceCord, poleDirection)
+print("Moment from the cord =", momentCord)
Moment from the cord = [ 0.         -8.32050294  0.        ]
+

Now all you need to do is find the reaction force and moment.

equilibrium = np.array([0, 0, 0])
+R = equilibrium - forceCord
+M = equilibrium - momentCord
+print("Reaction force =", R)
+print("Reaction moment =", M)
Reaction force = [-4.16025147  0.          2.77350098]
+Reaction moment = [0.         8.32050294 0.        ]
+

Another Example

Let’s look at a slightly more complicated model. In this example you will be observing a beam with two cables and an applied force. This time you need to find both the tension in the cords and the reaction forces of the beam. (Source: Vector Mechanics for Engineers: Statics and Dynamics, Problem 4.106)

image.png

Define distance a as 3 meters

As before, start by defining the location of each relevant point as an array.

A = np.array([0, 0, 0])
+B = np.array([0, 3, 0])
+C = np.array([0, 6, 0])
+D = np.array([1.5, 0, -3])
+E = np.array([1.5, 0, 3])
+F = np.array([-3, 0, 2])

From these equations, you start by determining vector directions with unit vectors.

AB = B - C
+AC = C - A
+BD = D - B
+BE = E - B
+CF = F - C
+
+UnitBD = BD / np.linalg.norm(BD)
+UnitBE = BE / np.linalg.norm(BE)
+UnitCF = CF / np.linalg.norm(CF)
+
+RadBD = np.cross(AB, UnitBD)
+RadBE = np.cross(AB, UnitBE)
+RadCF = np.cross(AC, UnitCF)

This lets you represent the tension (T) and reaction (R) forces acting on the system as

[ 1/31/3100−2/3−2/3010−2/32/3001][ TBDTBERxRyRz]=[ 195390−130]\left[ +\begin{array}{ccccc} +~1/3 & 1/3 & 1 & 0 & 0\\ +-2/3 & -2/3 & 0 & 1 & 0\\ +-2/3 & 2/3 & 0 & 0 & 1\\ +\end{array} +\right] +\left[ +\begin{array}{c} +~T_{BD}\\ +T_{BE}\\ +R_{x}\\ +R_{y}\\ +R_{z}\\ +\end{array} +\right] += +\left[ +\begin{array}{c} +~195\\ +390\\ +-130\\ +\end{array} +\right]
(7)

and the moments as

[ 2−211][ TBDTBE]=[ 7801170]\left[ +\begin{array}{cc} +~2 & -2\\ +1 & 1\\ +\end{array} +\right] +\left[ +\begin{array}{c} +~T_{BD}\\ +T_{BE}\\ +\end{array} +\right] += +\left[ +\begin{array}{c} +~780\\ +1170\\ +\end{array} +\right]
(8)

Where TT is the tension in the respective cord and RR is the reaction force in a respective direction. Then you just have six equations:

∑Fx=0=TBE/3+TBD/3−195+Rx\sum F_{x} = 0 = T_{BE}/3+T_{BD}/3-195+R_{x}

∑Fy=0=(−23)TBE−23TBD−390+Ry\sum F_{y} = 0 = (-\frac{2}{3})T_{BE}-\frac{2}{3}T_{BD}-390+R_{y}

∑Fz=0=(−23)TBE+23TBD+130+Rz\sum F_{z} = 0 = (-\frac{2}{3})T_{BE}+\frac{2}{3}T_{BD}+130+R_{z}

∑Mx=0=780+2TBE−2TBD\sum M_{x} = 0 = 780+2T_{BE}-2T_{BD}

∑Mz=0=1170−TBE−TBD\sum M_{z} = 0 = 1170-T_{BE}-T_{BD}

You now have five unknowns with five equations, and can solve for:

 TBD=780N\ T_{BD} = 780N

 TBE=390N\ T_{BE} = 390N

 Rx=−195N\ R_{x} = -195N

 Ry=1170N\ R_{y} = 1170N

 Rz=130N\ R_{z} = 130N

Wrapping up

You have learned how to use arrays to represent points, forces, and moments in three dimensional space. Each entry in an array can be used to represent a physical property broken into directional components. These can then be easily manipulated with NumPy functions.

Additional Applications

This same process can be applied to kinetic problems or in any number of dimensions. The examples done in this tutorial assumed three dimensional problems in static equilibrium. These methods can easily be used in more varied problems. More or less dimensions require larger or smaller arrays to represent. In systems experiencing acceleration, velocity and acceleration can be similarly be represented as vectors as well.

References

  1. Vector Mechanics for Engineers: Statics and Dynamics (Beer & Johnston & Mazurek & et al.)

  2. NumPy Reference

Applications
X-ray image processing
Applications
Plotting Fractals
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Learn to write a NumPy tutorial

The Diátaxis framework for documentation dividing tutorials, how-to guides, explanation, and reference

Image credit: Daniele Procida's Diátaxis framework, licensed under CC-BY-SA 4.0.

What you’ll do

Guided by a template, you’ll write a NumPy tutorial.

What you’ll learn

  • You’ll be able to craft a tutorial that follows a standard format and reflects good teaching practice.

  • You’ll learn the three standard headings that open a NumPy tutorial -- What you’ll do, What you’ll learn, and What you’ll need -- and some optional headings for the bottom -- On your own, In practice, Further reading.

  • You’ll know what makes What you’ll learn different from What you’ll do.

  • You’ll be able to distinguish a tutorial from a how-to.

  • You’ll learn what not to put in a What you’ll learn section.

What you’ll need

  • This template.

  • A portrait of your intended reader.

    • Just as schools list prerequisites for higher-level courses, you can assume readers know some things (which you must list, as noted in the next bullet). Overexplaining bogs down the tutorial and obscures the main points.

    • But also put yourself in the reader’s place and consider what to explain along the way.

  • “What you’ll need” is a list of:

    • packages that must be present on the user’s machine before they begin. Don’t include numpy.

    • what you assumed the reader knew in the bullet above. Don’t say Python; familiarity with Python iterators is fine.

  • Informality and enthusiasm. Imagine your reader not out in the audience but next to you.

  • Willingness to write incomplete sentences for the What you’ll need bullets. They don’t begin with the words “You’ll need.”

  • Not required are native English skills. Others can help.

After a horizontal rule, start your own headings

Your tutorial steps begin here, using headings of your choice. At the end of the tutorial you’ll place another horizontal rule and return to standard headings.

Titles have verbs

In general, include a verb in the title; thus Learn to write a NumPy tutorial rather than “Rules for NumPy tutorials.” Consider putting verbs in the headings as well.

Titles are lowercase

Capitalize the first word, and after that only words that are ordinarily capitalized (so not “Titles Are Lowercase”).

What to say in “What you’ll learn”

Avoid abstraction. “About” is a tipoff: Rather than writing “You’ll learn about NumPy I/O,” write “You’ll learn how to read a comma-delimited text file into a NumPy array.”

Why are “What you’ll do” and “What you’ll learn” different?

What you’ll do is typically one sentence listing an end product: “You’ll bake a cake.” This makes the endpoint clear. What you’ll learn lists the payoffs, and there may be many: “You’ll learn to follow a recipe. You’ll get practice measuring ingredients. You’ll learn how to tell when a cake is ready to come out of the oven.”

Avoid asides

As explained by expert documentation writer Daniele Procida:

Don’t explain anything the learner doesn’t need to know in order to complete the tutorial.

Because tutorial steps are chosen to be clear and easy, they may fall short of +production-grade. Yes, you should share this, but not during the tutorial, which should be straightforward and assured. The In practice section is the place for details, exceptions, alternatives, and similar fine print.

Use plots and illustrations

Figures are a double win; they amplify your points and make the page inviting. Like English skills, artistic skills (or graphic-toolset skills) aren’t required. Even if you only scan a hand illustration, somebody can polish it.

An illustration below the title, even if it’s only decorative, makes your page distinctive.

Use real datasets when possible

Readers are likelier to be engaged by a real use case. Be sure you have rights to the data.

Tutorials and how-to’s -- similar but different

Tutorial readers are out-of-towners who want a feel for the place. Pick any single destination and explain sights along the way.

Unlike how-to readers, who know what they need, tutorial readers don’t know what it is they don’t know. So while tutorials need headings like What you’ll do and What you’ll learn, these headings would never appear in a how-to.

Make use of the Google doc style guide

NumPy docs follow the Google developer documentation style guide. In addition to providing answers to recurring questions (“crossreference” or “cross-reference”?) the guide is filled with suggestions that will strengthen your doc writing.

The notebook must be fully executable

Run all cells should execute all cells to the bottom of the file. If you’re demonstrating a bad expression and want to show the traceback, comment +the expression and put the traceback in a text cell.

(Note that triple backquotes won’t be enough for a traceback that contains <text inside angle brackets>, +the angle brackets must be replaced by &lt; and &gt; as shown in the text cell markdown below.)

# 100/0
--------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) <ipython-input-10-bbe761e74a70> in <module> ----> 1 100/0 + +ZeroDivisionError: division by zero

On your own

Close the tutorial section with a horizontal rule. You’re free to take any direction now, but here are three suggested sections.

In an optional On your own section, you can offer an assignment for readers to exercise their new skills. If it’s a question with an answer, provide it -- perhaps in a footnote to keep it from being a spoiler.

In practice...

  • The fine print that you avoided can go in this section.

  • Don’t just say it’s usually done another way; explain why.

Further reading

  • Ideally, rather than giving bare links, Further reading describes the references: The Documentation System is the inspiration for this tutorial, and describes three other kinds of documentation.

  • The Google guide is long; there’s also a summary.

  • NumPy’s website includes a documentation how-to.

Features
Contributing
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In order to add the singular values to the diagonal of ","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"key":"N6vtMylpHq"},{"type":"inlineCode","value":"Sigma","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"key":"TZirdUwolp"},{"type":"text","value":", we will again use the ","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"key":"zkdBgiiXA1"},{"type":"link","url":"https://numpy.org/devdocs/reference/generated/numpy.fill_diagonal.html","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"children":[{"type":"text","value":"fill_diagonal","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"key":"fcXNdm8lU4"}],"urlSource":"https://numpy.org/devdocs/reference/generated/numpy.fill_diagonal.html","key":"HzDUvz9cWw"},{"type":"text","value":" function, using each of the 3 rows in ","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"key":"gz93aWYTZw"},{"type":"inlineCode","value":"s","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"key":"J9s8IR336i"},{"type":"text","value":" as the diagonal for each of the 3 matrices in ","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"key":"jgsUWlf6w9"},{"type":"inlineCode","value":"Sigma","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"key":"EXJonnWbsp"},{"type":"text","value":":","position":{"start":{"line":335,"column":1},"end":{"line":335,"column":1}},"key":"OHs9hdcLXg"}],"key":"kEQlsMvBAY"}],"key":"WJMvP9gmB5"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"Sigma = np.zeros((3, 768, 1024))\nfor j in range(3):\n np.fill_diagonal(Sigma[j, :, :], s[j, :])","key":"N7WXhaGktO"},{"type":"outputs","id":"nnJXZ8tT01edvXncBiP3t","children":[],"key":"NgyhEP0xQR"}],"key":"fbnDrlUTnw"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":343,"column":1},"end":{"line":343,"column":1}},"children":[{"type":"text","value":"Now, if we wish to rebuild the full SVD (with no approximation), we can do","position":{"start":{"line":343,"column":1},"end":{"line":343,"column":1}},"key":"AICx7w8o3w"}],"key":"cC1WwdIbOF"}],"key":"We4TuvTotT"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"reconstructed = U @ Sigma @ Vt","key":"gUWHY4VtC3"},{"type":"outputs","id":"CKHN8ysnim9yTRudunS2H","children":[],"key":"sSWP7xJFJM"}],"key":"af7tRrGi6X"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":349,"column":1},"end":{"line":349,"column":1}},"children":[{"type":"text","value":"Note that","position":{"start":{"line":349,"column":1},"end":{"line":349,"column":1}},"key":"IjdjaHxwPG"}],"key":"j0lNGc3KR8"}],"key":"R3eMo0JTe8"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"reconstructed.shape","key":"X5Kd2Y9AJ8"},{"type":"outputs","id":"Ntf5LLmfrJVUc-xJUiYRr","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":32,"metadata":{},"data":{"text/plain":{"content":"(3, 768, 1024)","content_type":"text/plain"}}},"key":"VxdojtuFhK"}],"key":"dpFalTJQLP"}],"key":"oIvspPZ2SZ"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":355,"column":1},"end":{"line":355,"column":1}},"children":[{"type":"text","value":"The reconstructed image should be indistinguishable from the original one, except for differences due to floating point errors from the reconstruction. 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The accumulation of floating point error from the reconstruction can result in values slightly outside this original range:","position":{"start":{"line":355,"column":1},"end":{"line":355,"column":1}},"key":"nvPIaIjz90"}],"key":"qZkYO0gjNW"}],"key":"PO4iCSwskE"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"reconstructed.min(), reconstructed.max()","key":"ZN2J5N1aGD"},{"type":"outputs","id":"wQIFQOL_B5CFTAFYcjzB1","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"execute_result","execution_count":33,"metadata":{},"data":{"text/plain":{"content":"(np.float64(-5.0176876542629145e-15), np.float64(1.0000000000000049))","content_type":"text/plain"}}},"key":"BaIwTTJ4t3"}],"key":"lq6EFwoIq2"}],"key":"PB2eS9oAeS"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"children":[{"type":"text","value":"Since ","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"g20h7WRdqj"},{"type":"inlineCode","value":"imshow","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"tVR2t9hPaC"},{"type":"text","value":" expects values in the range, we can use ","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"OKyHdrMNsO"},{"type":"inlineCode","value":"clip","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"qF51deTpvO"},{"type":"text","value":" to excise the floating point error:","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"b5pEFhyHP8"}],"key":"D0mT2cbzw3"}],"key":"ZcHXFMRG4S"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"reconstructed = np.clip(reconstructed, 0, 1)\n\nfig, ax = plt.subplots()\nax.imshow(np.transpose(reconstructed, (1, 2, 0)))","key":"VaFZMXa4nu"},{"type":"outputs","id":"XQIpZwQrVooKddDg2zvIU","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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Linear algebra on n-dimensional arrays

Prerequisites

Before reading this tutorial, you should know a bit of Python. If you would like to refresh your memory, take a look at the Python tutorial.

If you want to be able to run the examples in this tutorial, you should also have matplotlib and SciPy installed on your computer.

Learner profile

This tutorial is for people who have a basic understanding of linear algebra and arrays in NumPy and want to understand how n-dimensional (n>=2n>=2) arrays are represented and can be manipulated. In particular, if you don’t know how to apply common functions to n-dimensional arrays (without using for-loops), or if you want to understand axis and shape properties for n-dimensional arrays, this tutorial might be of help.

Learning Objectives

After this tutorial, you should be able to:

  • Understand the difference between one-, two- and n-dimensional arrays in NumPy;

  • Understand how to apply some linear algebra operations to n-dimensional arrays without using for-loops;

  • Understand axis and shape properties for n-dimensional arrays.

Content

In this tutorial, we will use a matrix decomposition from linear algebra, the Singular Value Decomposition, to generate a compressed approximation of an image. We’ll use the face image from the scipy.datasets module:

from scipy.datasets import face
+
+img = face()
Downloading file 'face.dat' from 'https://raw.githubusercontent.com/scipy/dataset-face/main/face.dat' to '/home/runner/.cache/scipy-data'.
+

Now, img is a NumPy array, as we can see when using the type function:

type(img)
numpy.ndarray

We can see the image using the matplotlib.pyplot.imshow function & the special iPython command, %matplotlib inline to display plots inline:

import matplotlib.pyplot as plt
+
+%matplotlib inline
fig, ax = plt.subplots()
+ax.imshow(img)
<Figure size 640x480 with 1 Axes>

Shape, axis and array properties

Note that, in linear algebra, the dimension of a vector refers to the number of entries in an array. In NumPy, it instead defines the number of axes. For example, a 1D array is a vector such as [1, 2, 3], a 2D array is a matrix, and so forth.

First, let’s check for the shape of the data in our array. Since this image is two-dimensional (the pixels in the image form a rectangle), we might expect a two-dimensional array to represent it (a matrix). However, using the shape property of this NumPy array gives us a different result:

img.shape
(768, 1024, 3)

The output is a tuple with three elements, which means that this is a three-dimensional array. Since this is a color image, and we have used the imread function to read it, the data is organized as a 768×1024 grid of pixels, where each pixel contains 3 values representing color channels (red, green and blue - RGB). You can see this by looking at the shape, where the leftmost number corresponds to the outermost axis (image height), the middle number to the next axis (image width) and the rightmost number to the innermost axis (the color channels).

Furthermore, using the ndim property of this array, we can see that

img.ndim
3

NumPy refers to each dimension as an axis. Because of how imread works, the first index in the 3rd axis is the red pixel data for our image. We can access this by using the syntax

img[:, :, 0]
array([[121, 138, 153, ..., 119, 131, 139], + [ 89, 110, 130, ..., 118, 134, 146], + [ 73, 94, 115, ..., 117, 133, 144], + ..., + [ 87, 94, 107, ..., 120, 119, 119], + [ 85, 95, 112, ..., 121, 120, 120], + [ 85, 97, 111, ..., 120, 119, 118]], + shape=(768, 1024), dtype=uint8)

From the output above, we can see that every value in img[:, :, 0] is an integer value between 0 and 255, representing the level of red in each corresponding image pixel (keep in mind that this might be different if you +use your own image instead of scipy.datasets.face).

As expected, this is a 768x1024 matrix:

img[:, :, 0].shape
(768, 1024)

Since we are going to perform linear algebra operations on this data, it might be more interesting to have real numbers between 0 and 1 in each entry of the matrices to represent the RGB values. We can do that by setting

img_array = img / 255

This operation, dividing an array by a scalar, works because of NumPy’s broadcasting rules.

You can check that the above works by doing some tests; for example, inquiring +about maximum and minimum values for this array:

img_array.min(), img_array.max()
(np.float64(0.0), np.float64(1.0))

or checking the type of data in the array:

img_array.dtype
dtype('float64')

Note that we can assign each color channel to a separate matrix using the slice syntax:

red_array = img_array[:, :, 0]
+green_array = img_array[:, :, 1]
+blue_array = img_array[:, :, 2]

Operations on an axis

It is possible to use methods from linear algebra to approximate an existing set of data. Here, we will use the SVD (Singular Value Decomposition) to try to rebuild an image that uses less singular value information than the original one, while still retaining some of its features.

In order to extract information from a given matrix, we can use the SVD to obtain 3 arrays which can be multiplied to obtain the original matrix. From the theory of linear algebra, given a matrix AA, the following product can be computed:

UΣVT=AU \Sigma V^T = A
(1)

where UU and VTV^T are square and Σ\Sigma is the same size as AA. Σ\Sigma is a diagonal matrix and contains the singular values of AA, organized from largest to smallest. These values are always non-negative and can be used as an indicator of the “importance” of some features represented by the matrix AA.

Let’s see how this works in practice with just one matrix first. Note that according to colorimetry, +it is possible to obtain a fairly reasonable grayscale version of our color image if we apply the formula

Y=0.2126R+0.7152G+0.0722BY = 0.2126 R + 0.7152 G + 0.0722 B
(2)

where YY is the array representing the grayscale image, and RR, GG and BB are the red, green and blue channel arrays we had originally. Notice we can use the @ operator (the matrix multiplication operator for NumPy arrays, see numpy.matmul) for this:

img_gray = img_array @ [0.2126, 0.7152, 0.0722]

Now, img_gray has shape

img_gray.shape
(768, 1024)

To see if this makes sense in our image, we should use a colormap from matplotlib corresponding to the color we wish to see in out image (otherwise, matplotlib will default to a colormap that does not correspond to the real data).

In our case, we are approximating the grayscale portion of the image, so we will use the colormap gray:

fig, ax = plt.subplots()
+ax.imshow(img_gray, cmap="gray")
<Figure size 640x480 with 1 Axes>

Now, applying the linalg.svd function to this matrix, we obtain the following decomposition:

import numpy as np
+U, s, Vt = np.linalg.svd(img_gray)

Let’s check that this is what we expected:

U.shape, s.shape, Vt.shape
((768, 768), (768,), (1024, 1024))

Note that s has a particular shape: it has only one dimension. This means that some linear algebra functions that expect 2d arrays might not work. For example, from the theory, one might expect s and Vt to be +compatible for multiplication. However, this is not true as s does not have a second axis:

s @ Vt
---------------------------------------------------------------------------
+ValueError                                Traceback (most recent call last)
+Cell In[18], line 1
+----> 1 s @ Vt
+
+ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 1024 is different from 768)

results in a ValueError. This happens because having a one-dimensional array for s, in this case, is much more economic in practice than building a diagonal matrix with the same data. To reconstruct the original matrix, we can rebuild the diagonal matrix Σ\Sigma with the elements of s in its diagonal and with the appropriate dimensions for multiplying: in our case, Σ\Sigma should be 768x1024 since U is 768x768 and Vt is 1024x1024. In order to add the singular values to the diagonal of Sigma, we will use the fill_diagonal function from NumPy:

Sigma = np.zeros((U.shape[1], Vt.shape[0]))
+np.fill_diagonal(Sigma, s)

Now, we want to check if the reconstructed U @ Sigma @ Vt is close to the original img_gray matrix.

Approximation

The linalg module includes a norm function, which computes the norm of a vector or matrix represented in a NumPy array. For example, from the SVD explanation above, we would expect the norm of the difference between img_gray and the reconstructed SVD product to be small. As expected, you should see something like

np.linalg.norm(img_gray - U @ Sigma @ Vt)
np.float64(1.4314854759568272e-12)

(The actual result of this operation might be different depending on your architecture and linear algebra setup. Regardless, you should see a small number.)

We could also have used the numpy.allclose function to make sure the reconstructed product is, in fact, close to our original matrix (the difference between the two arrays is small):

np.allclose(img_gray, U @ Sigma @ Vt)
True

To see if an approximation is reasonable, we can check the values in s:

fig, ax = plt.subplots()
+ax.plot(s)
<Figure size 640x480 with 1 Axes>

In the graph, we can see that although we have 768 singular values in s, most of those (after the 150th entry or so) are pretty small. So it might make sense to use only the information related to the first (say, 50) singular values to build a more economical approximation to our image.

The idea is to consider all but the first k singular values in Sigma (which are the same as in s) as zeros, keeping U and Vt intact, and computing the product of these matrices as the approximation.

For example, if we choose

k = 10

we can build the approximation by doing

approx = U @ Sigma[:, :k] @ Vt[:k, :]

Note that we had to use only the first k rows of Vt, since all other rows would be multiplied by the zeros corresponding to the singular values we eliminated from this approximation.

fig, ax = plt.subplots()
+ax.imshow(approx, cmap="gray")
<Figure size 640x480 with 1 Axes>

Now, you can go ahead and repeat this experiment with other values of k, and each of your experiments should give you a slightly better (or worse) image depending on the value you choose.

Applying to all colors

Now we want to do the same kind of operation, but to all three colors. Our first instinct might be to repeat the same operation we did above to each color matrix individually. However, NumPy’s broadcasting takes care of this +for us.

If our array has more than two dimensions, then the SVD can be applied to all axes at once. However, the linear algebra functions in NumPy expect to see an array of the form (n, M, N), where the first axis n represents the number of MxN matrices in the stack.

In our case,

img_array.shape
(768, 1024, 3)

so we need to permutate the axis on this array to get a shape like (3, 768, 1024). Fortunately, the numpy.transpose function can do that for us:

# The values in the tuple indicate the original dim, and the order the new axis
+# so axis 2 -> 0, 0 -> 1, and 1 -> 2
+img_array_transposed = np.transpose(img_array, (2, 0, 1))
+img_array_transposed.shape
(3, 768, 1024)

Now we are ready to apply the SVD:

U, s, Vt = np.linalg.svd(img_array_transposed)

Finally, to obtain the full approximated image, we need to reassemble these matrices into the approximation. Now, note that

U.shape, s.shape, Vt.shape
((3, 768, 768), (3, 768), (3, 1024, 1024))

To build the final approximation matrix, we must understand how multiplication across different axes works.

Products with n-dimensional arrays

If you have worked before with only one- or two-dimensional arrays in NumPy, you might use numpy.dot and numpy.matmul (or the @ operator) interchangeably. However, for n-dimensional arrays, they work in very different ways. For more details, check the documentation on numpy.matmul.

Now, to build our approximation, we first need to make sure that our singular values are ready for multiplication, so we build our Sigma matrix similarly to what we did before. The Sigma array must have dimensions (3, 768, 1024). In order to add the singular values to the diagonal of Sigma, we will again use the fill_diagonal function, using each of the 3 rows in s as the diagonal for each of the 3 matrices in Sigma:

Sigma = np.zeros((3, 768, 1024))
+for j in range(3):
+    np.fill_diagonal(Sigma[j, :, :], s[j, :])

Now, if we wish to rebuild the full SVD (with no approximation), we can do

reconstructed = U @ Sigma @ Vt

Note that

reconstructed.shape
(3, 768, 1024)

The reconstructed image should be indistinguishable from the original one, except for differences due to floating point errors from the reconstruction. Recall that our original image consisted of floating point values in the range [0., 1.]. The accumulation of floating point error from the reconstruction can result in values slightly outside this original range:

reconstructed.min(), reconstructed.max()
(np.float64(-5.0176876542629145e-15), np.float64(1.0000000000000049))

Since imshow expects values in the range, we can use clip to excise the floating point error:

reconstructed = np.clip(reconstructed, 0, 1)
+
+fig, ax = plt.subplots()
+ax.imshow(np.transpose(reconstructed, (1, 2, 0)))
<Figure size 640x480 with 1 Axes>

Now, to do the approximation, we must choose only the first k singular values for each color channel. This can be done using the following syntax:

approx_img = U @ Sigma[..., :k] @ Vt[..., :k, :]

You can see that we have selected only the first k components of the last axis for Sigma (this means that we have used only the first k columns of each of the three matrices in the stack), and that we have selected only the first k components in the second-to-last axis of Vt (this means we have selected only the first k rows from every matrix in the stack Vt and all columns). If you are unfamiliar with the ellipsis syntax, it is a +placeholder for other axes. For more details, see the documentation on Indexing.

Now,

approx_img.shape
(3, 768, 1024)

which is not the right shape for showing the image. Finally, reordering the axes back to our original shape of (768, 1024, 3), we can see our approximation:

fig, ax = plt.subplots()
+ax.imshow(np.transpose(np.clip(approx_img, 0, 1), (1, 2, 0)))
<Figure size 640x480 with 1 Axes>

Even though the image is not as sharp, using a small number of k singular values (compared to the original set of 768 values), we can recover many of the distinguishing features from this image.

Final words

Of course, this is not the best method to approximate an image. However, there is, in fact, a result in linear algebra that says that the approximation we built above is the best we can get to the original matrix in +terms of the norm of the difference. For more information, see G. H. Golub and C. F. Van Loan, Matrix Computations, Baltimore, MD, Johns Hopkins University Press, 1985.

Further reading

Applications
Analyzing Air Quality
Features
Sharing Array Data
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This Laplacian method focuses on pixels with rapid intensity change\nin values and is combined with Gaussian smoothing to\n","position":{"start":{"line":208,"column":1},"end":{"line":208,"column":1}},"key":"PX8BJ6WZF7"},{"type":"link","url":"https://homepages.inf.ed.ac.uk/rbf/HIPR2/log.htm","position":{"start":{"line":208,"column":1},"end":{"line":208,"column":1}},"children":[{"type":"text","value":"remove noise","position":{"start":{"line":208,"column":1},"end":{"line":208,"column":1}},"key":"AODE9zgF31"}],"urlSource":"https://homepages.inf.ed.ac.uk/rbf/HIPR2/log.htm","key":"jlUZ5p7pRL"},{"type":"text","value":". 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The Sobel filter applies two 3x3 kernel matrices — one for each axis\n— onto the X-ray through a ","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"key":"b4h0KJwAme"},{"type":"link","url":"https://en.wikipedia.org/wiki/Kernel_(image_processing)#Convolution","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"children":[{"type":"text","value":"convolution","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"key":"mZN18z6Ssy"}],"urlSource":"https://en.wikipedia.org/wiki/Kernel_(image_processing)#Convolution","data":{"page":"Kernel_(image_processing)#Convolution","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"AtDHA6PquM"},{"type":"text","value":".\nThen, these two points (gradients) are combined using the\n","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"key":"iREuGIroRs"},{"type":"link","url":"https://en.wikipedia.org/wiki/Pythagorean_theorem","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"children":[{"type":"text","value":"Pythagorean theorem","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"key":"kqvoBs3RQZ"}],"urlSource":"https://en.wikipedia.org/wiki/Pythagorean_theorem","data":{"page":"Pythagorean_theorem","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"xFjahexEIN"},{"type":"text","value":" to\nproduce a gradient magnitude.","position":{"start":{"line":278,"column":1},"end":{"line":278,"column":1}},"key":"SXUm2Toeat"}],"key":"pJ9LbRNX7t"}],"key":"j5EQSf4tov"},{"type":"block","position":{"start":{"line":287,"column":1},"end":{"line":287,"column":1}},"children":[{"type":"paragraph","position":{"start":{"line":289,"column":1},"end":{"line":295,"column":1}},"children":[{"type":"strong","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"children":[{"type":"text","value":"1.","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"NpjWgcF0iY"}],"key":"hBPqMHCDGV"},{"type":"text","value":" Use the Sobel filters — (","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"PwapDRUCZT"},{"type":"link","url":"https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.sobel.html","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"children":[{"type":"inlineCode","value":"scipy.ndimage.sobel()","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"jwOCELz1ql"}],"urlSource":"https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.sobel.html","key":"aDnHXMVCXq"},{"type":"text","value":")\n— on x- and y-axes of the X-ray. Then, calculate the distance between ","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"u3A5DyqAdL"},{"type":"inlineCode","value":"x","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"zVBJ1VDvMK"},{"type":"text","value":" and\n","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"KNS2nlMAIx"},{"type":"inlineCode","value":"y","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"PtowzSt9Tt"},{"type":"text","value":" (with the Sobel filters applied to them) using the\n","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"AGSS8jxQpx"},{"type":"link","url":"https://en.wikipedia.org/wiki/Pythagorean_theorem","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"children":[{"type":"text","value":"Pythagorean theorem","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"S0vXa3aOm1"}],"urlSource":"https://en.wikipedia.org/wiki/Pythagorean_theorem","data":{"page":"Pythagorean_theorem","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"BvElcZWBT8"},{"type":"text","value":" and\nNumPy’s ","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"q8WoT24MJM"},{"type":"link","url":"https://numpy.org/doc/stable/reference/generated/numpy.hypot.html","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"children":[{"type":"inlineCode","value":"np.hypot()","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"ujGCdMWo2O"}],"urlSource":"https://numpy.org/doc/stable/reference/generated/numpy.hypot.html","key":"W01auU8sCi"},{"type":"text","value":"\nto obtain the magnitude. Finally, normalize the rescaled image for the pixel\nvalues to be between 0 and 255.","position":{"start":{"line":289,"column":1},"end":{"line":289,"column":1}},"key":"w7m9sVaaPw"}],"key":"FFiD0WsZHK"},{"type":"paragraph","position":{"start":{"line":297,"column":1},"end":{"line":300,"column":1}},"children":[{"type":"link","url":"https://en.wikipedia.org/wiki/Normalization_%28image_processing%29","position":{"start":{"line":297,"column":1},"end":{"line":297,"column":1}},"children":[{"type":"text","value":"Image normalization","position":{"start":{"line":297,"column":1},"end":{"line":297,"column":1}},"key":"rINwxUcpFu"}],"urlSource":"https://en.wikipedia.org/wiki/Normalization_%28image_processing%29","data":{"page":"Normalization_%28image_processing%29","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"TMwSemk5yv"},{"type":"text","value":"\nfollows the ","position":{"start":{"line":297,"column":1},"end":{"line":297,"column":1}},"key":"VhN1rro9qQ"},{"type":"inlineCode","value":"output_channel = 255.0 * (input_channel - min_value) / (max_value - min_value)","position":{"start":{"line":297,"column":1},"end":{"line":297,"column":1}},"key":"g1XBbLVZMi"},{"type":"text","value":"\n","position":{"start":{"line":297,"column":1},"end":{"line":297,"column":1}},"key":"r0PpFQbHO3"},{"type":"link","url":"http://dev.ipol.im/~nmonzon/Normalization.pdf","position":{"start":{"line":297,"column":1},"end":{"line":297,"column":1}},"children":[{"type":"text","value":"formula","position":{"start":{"line":297,"column":1},"end":{"line":297,"column":1}},"key":"fnd8y0K9z6"}],"urlSource":"http://dev.ipol.im/~nmonzon/Normalization.pdf","key":"b9bkXqOnzn"},{"type":"text","value":". Because you’re\nusing a grayscale image, you need to normalize just one channel.","position":{"start":{"line":297,"column":1},"end":{"line":297,"column":1}},"key":"fBoa83Twsp"}],"key":"eWVLbtAskr"}],"key":"H14eQwlFkX"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"x_sobel = ndimage.sobel(xray_image, axis=0)\ny_sobel = ndimage.sobel(xray_image, axis=1)\n\nxray_image_sobel = np.hypot(x_sobel, y_sobel)\n\nxray_image_sobel *= 255.0 / np.max(xray_image_sobel)","key":"BUMfxdUdiR"},{"type":"outputs","id":"4_0wFT0gGWhfJyQoWEcn9","children":[],"key":"iIN3fJ4gYE"}],"key":"LpdhNoilqc"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":311,"column":1},"end":{"line":313,"column":1}},"children":[{"type":"strong","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"children":[{"type":"text","value":"2.","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"key":"WjzYJO3ANC"}],"key":"EWa0LpkWGs"},{"type":"text","value":" Change the new image array data type to the 32-bit floating-point format\nfrom ","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"key":"fZlAEWvL3P"},{"type":"inlineCode","value":"float16","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"key":"JKcVKyypMx"},{"type":"text","value":" to ","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"key":"Nqnrtan6wv"},{"type":"link","url":"https://github.com/matplotlib/matplotlib/issues/15432","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"children":[{"type":"text","value":"make it compatible","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"key":"rQUPTpsGuB"}],"urlSource":"https://github.com/matplotlib/matplotlib/issues/15432","data":{"kind":"issue","org":"matplotlib","repo":"matplotlib","issue_number":"15432"},"internal":false,"protocol":"github","key":"dbdsaLQHa5"},{"type":"text","value":"\nwith Matplotlib:","position":{"start":{"line":311,"column":1},"end":{"line":311,"column":1}},"key":"Ijnm4jquny"}],"key":"OVrXIUXBUk"}],"key":"Patg25Fodz"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"print(\"The data type - before: \", xray_image_sobel.dtype)\n\nxray_image_sobel = xray_image_sobel.astype(\"float32\")\n\nprint(\"The data type - after: \", xray_image_sobel.dtype)","key":"XXkYZmqTfq"},{"type":"outputs","id":"aAZ1_p9XJ_WvzLyP-An5F","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"The data type - before: float16\nThe data type - after: float32\n"},"key":"CYHzj02QPl"}],"key":"s3dTwpZRMq"}],"key":"pPfWiSjUWi"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":323,"column":1},"end":{"line":325,"column":1}},"children":[{"type":"strong","position":{"start":{"line":323,"column":1},"end":{"line":323,"column":1}},"children":[{"type":"text","value":"3.","position":{"start":{"line":323,"column":1},"end":{"line":323,"column":1}},"key":"Y7X2rqikJj"}],"key":"UHs95zr5Po"},{"type":"text","value":" Display the original X-ray and the one with the Sobel “edge” filter\napplied. Note that both the grayscale and ","position":{"start":{"line":323,"column":1},"end":{"line":323,"column":1}},"key":"Ncx7zVlUVD"},{"type":"inlineCode","value":"CMRmap","position":{"start":{"line":323,"column":1},"end":{"line":323,"column":1}},"key":"jtlutCGwDl"},{"type":"text","value":" colormaps are used to help\nemphasize the edges:","position":{"start":{"line":323,"column":1},"end":{"line":323,"column":1}},"key":"U7qp1tqsbU"}],"key":"dzmntfdHV6"}],"key":"PKiJjfe0vY"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(15, 15))\n\naxes[0].set_title(\"Original\")\naxes[0].imshow(xray_image, cmap=\"gray\")\naxes[1].set_title(\"Sobel (edges) - grayscale\")\naxes[1].imshow(xray_image_sobel, cmap=\"gray\")\naxes[2].set_title(\"Sobel (edges) - CMRmap\")\naxes[2].imshow(xray_image_sobel, cmap=\"CMRmap\")\nfor i in axes:\n i.axis(\"off\")","key":"iX9GtYM3WL"},{"type":"outputs","id":"MioSG3-koAf7iKkBQSXnO","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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In this example, you’re using using the\n","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"X6wkxuVCAa"},{"type":"link","url":"https://en.wikipedia.org/wiki/Fourier_transform","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"children":[{"type":"text","value":"Fourier","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"zg7rYv4Q0P"}],"urlSource":"https://en.wikipedia.org/wiki/Fourier_transform","data":{"page":"Fourier_transform","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"bXslcLTjHR"},{"type":"text","value":" filter which\nsmoothens the X-ray through a ","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"NkM0CE6dpl"},{"type":"link","url":"https://en.wikipedia.org/wiki/Convolution","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"children":[{"type":"text","value":"convolution","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"Io4B7tWytf"}],"urlSource":"https://en.wikipedia.org/wiki/Convolution","data":{"page":"Convolution","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"a6S31IBlyr"},{"type":"text","value":"\nprocess. Next, you apply the ","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"nk3UGpY9R8"},{"type":"link","url":"https://en.wikipedia.org/wiki/Prewitt_operator","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"children":[{"type":"text","value":"Prewitt filter","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"XK4RPC2xoM"}],"urlSource":"https://en.wikipedia.org/wiki/Prewitt_operator","data":{"page":"Prewitt_operator","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"QKdXPn1R2l"},{"type":"text","value":"\non each of the 2 axes of the image to help detect some of the edges — this will\nresult in 2 gradient values. Similar to the Sobel filter, the Prewitt operator\nalso applies two 3x3 kernel matrices — one for each axis — onto the X-ray\nthrough a ","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"KPolYbtAWf"},{"type":"link","url":"https://en.wikipedia.org/wiki/Kernel_(image_processing)#Convolution","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"children":[{"type":"text","value":"convolution","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"ZNhXXeTOYf"}],"urlSource":"https://en.wikipedia.org/wiki/Kernel_(image_processing)#Convolution","data":{"page":"Kernel_(image_processing)#Convolution","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"L5IAQpO0n7"},{"type":"text","value":".\nIn the end, you compute the magnitude between the two gradients using the\n","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"YashiwIsgC"},{"type":"link","url":"https://en.wikipedia.org/wiki/Pythagorean_theorem","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"children":[{"type":"text","value":"Pythagorean theorem","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"Z0ri0SGoIl"}],"urlSource":"https://en.wikipedia.org/wiki/Pythagorean_theorem","data":{"page":"Pythagorean_theorem","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"IRWLP2sp8A"},{"type":"text","value":" and\n","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"KNRVnTZLJg"},{"type":"link","url":"https://en.wikipedia.org/wiki/Normalization_%28image_processing%29","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"children":[{"type":"text","value":"normalize","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"oIN2OBQyhI"}],"urlSource":"https://en.wikipedia.org/wiki/Normalization_%28image_processing%29","data":{"page":"Normalization_%28image_processing%29","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"LuI5J4MnUR"},{"type":"text","value":"\nthe images, as before.","position":{"start":{"line":345,"column":1},"end":{"line":345,"column":1}},"key":"HttBtvC7r0"}],"key":"UgJA76TCx9"}],"key":"xnTEVJhmzc"},{"type":"block","position":{"start":{"line":359,"column":1},"end":{"line":359,"column":1}},"children":[{"type":"paragraph","position":{"start":{"line":361,"column":1},"end":{"line":366,"column":1}},"children":[{"type":"strong","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"children":[{"type":"text","value":"1.","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"FLE7yeZ4TY"}],"key":"FYjeVLWOos"},{"type":"text","value":" Use SciPy’s Fourier filters — ","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"E3n516awZR"},{"type":"link","url":"https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.fourier_gaussian.html","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"children":[{"type":"inlineCode","value":"scipy.ndimage.fourier_gaussian()","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"bIIIADtgME"}],"urlSource":"https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.fourier_gaussian.html","key":"iWaGoPsv1i"},{"type":"text","value":"\n— with a small ","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"SHSTjTgyZe"},{"type":"inlineCode","value":"sigma","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"PmoWlIqaNO"},{"type":"text","value":" value to remove some of the noise from the X-ray. Then,\ncalculate two gradients using ","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"sNelW1Kr0L"},{"type":"link","url":"https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.prewitt.html","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"children":[{"type":"inlineCode","value":"scipy.ndimage.prewitt()","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"ojBFjYc2g1"}],"urlSource":"https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.prewitt.html","key":"AHmTTULMMJ"},{"type":"text","value":".\nNext, measure the distance between the gradients using NumPy’s ","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"SUL2WP94WZ"},{"type":"inlineCode","value":"np.hypot()","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"FlYgELjLkv"},{"type":"text","value":".\nFinally, ","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"uAa6uVouLX"},{"type":"link","url":"https://en.wikipedia.org/wiki/Normalization_%28image_processing%29","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"children":[{"type":"text","value":"normalize","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"mS3GSMBnGD"}],"urlSource":"https://en.wikipedia.org/wiki/Normalization_%28image_processing%29","data":{"page":"Normalization_%28image_processing%29","wiki":"https://en.wikipedia.org/","lang":"en"},"internal":false,"protocol":"wiki","key":"TQ8ytOOGas"},{"type":"text","value":"\nthe rescaled image, as before.","position":{"start":{"line":361,"column":1},"end":{"line":361,"column":1}},"key":"koQ8aHVj2J"}],"key":"AMEhqGBKPI"}],"key":"deke1GtJh1"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"fourier_gaussian = ndimage.fourier_gaussian(xray_image, sigma=0.05)\n\nx_prewitt = ndimage.prewitt(fourier_gaussian, axis=0)\ny_prewitt = ndimage.prewitt(fourier_gaussian, axis=1)\n\nxray_image_canny = np.hypot(x_prewitt, y_prewitt)\n\nxray_image_canny *= 255.0 / np.max(xray_image_canny)\n\nprint(\"The data type - \", xray_image_canny.dtype)","key":"XsbAmIHqnJ"},{"type":"outputs","id":"4QFQE2GgGlFyjHXJikcfv","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"The data type - float64\n"},"key":"ze66juHzM3"}],"key":"d22Y26ycEE"}],"key":"h5JtnqWQQe"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":381,"column":1},"end":{"line":383,"column":1}},"children":[{"type":"strong","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"children":[{"type":"text","value":"2.","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"key":"NFWe0rCSqP"}],"key":"BOgTSDx5bm"},{"type":"text","value":" Plot the original X-ray image and the ones with the edges detected with\nthe help of the Canny filter technique. The edges can be emphasized using the\n","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"key":"cRyroePs02"},{"type":"inlineCode","value":"prism","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"key":"CFq4bYq94Q"},{"type":"text","value":", ","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"key":"YE8AIJURQd"},{"type":"inlineCode","value":"nipy_spectral","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"key":"o5g3Yag7oy"},{"type":"text","value":", and ","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"key":"qFPbv34thT"},{"type":"inlineCode","value":"terrain","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"key":"fQyXkgBmxA"},{"type":"text","value":" Matplotlib colormaps.","position":{"start":{"line":381,"column":1},"end":{"line":381,"column":1}},"key":"z8rCGeg072"}],"key":"caJyhOwh1W"}],"key":"fbR2QhXgT9"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(20, 15))\n\naxes[0].set_title(\"Original\")\naxes[0].imshow(xray_image, cmap=\"gray\")\naxes[1].set_title(\"Canny (edges) - prism\")\naxes[1].imshow(xray_image_canny, cmap=\"prism\")\naxes[2].set_title(\"Canny (edges) - nipy_spectral\")\naxes[2].imshow(xray_image_canny, cmap=\"nipy_spectral\")\naxes[3].set_title(\"Canny (edges) - terrain\")\naxes[3].imshow(xray_image_canny, cmap=\"terrain\")\nfor i in axes:\n i.axis(\"off\")","key":"i5wnpd6Q43"},{"type":"outputs","id":"2F68qS0JVfwR3WskBnsvo","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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original\nimage.","position":{"start":{"line":409,"column":1},"end":{"line":409,"column":1}},"key":"yTvKgd1Ms0"}],"key":"HqgTBYr3XY"}],"key":"T8Ig2OftP0"},{"type":"block","position":{"start":{"line":413,"column":1},"end":{"line":413,"column":1}},"children":[{"type":"paragraph","position":{"start":{"line":415,"column":1},"end":{"line":416,"column":1}},"children":[{"type":"strong","position":{"start":{"line":415,"column":1},"end":{"line":415,"column":1}},"children":[{"type":"text","value":"1.","position":{"start":{"line":415,"column":1},"end":{"line":415,"column":1}},"key":"MgVd2wfNjO"}],"key":"qVtceYjAmI"},{"type":"text","value":" Retrieve some basics statistics about the pixel values in the original\nX-ray image you’ve been working with:","position":{"start":{"line":415,"column":1},"end":{"line":415,"column":1}},"key":"lcVYOThssq"}],"key":"iHPeDB5cdG"}],"key":"pOIn3JwnXp"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"print(\"The data type of the X-ray image is: \", xray_image.dtype)\nprint(\"The minimum pixel value is: \", np.min(xray_image))\nprint(\"The maximum pixel value is: \", np.max(xray_image))\nprint(\"The average pixel value is: \", np.mean(xray_image))\nprint(\"The median pixel value is: \", np.median(xray_image))","key":"aqiLyzIDnH"},{"type":"outputs","id":"iqwd0FgM4dqsXUJl3fJww","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"stream","name":"stdout","text":"The data type of the X-ray image is: uint8\nThe minimum pixel value is: 0\nThe maximum pixel value is: 255\nThe average pixel value is: 172.52233219146729\nThe median pixel value is: 195.0\n"},"key":"mT66GgzaGH"}],"key":"TFAQIHdqkh"}],"key":"Br6XfsR21M"},{"type":"block","children":[{"type":"paragraph","position":{"start":{"line":426,"column":1},"end":{"line":429,"column":1}},"children":[{"type":"strong","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"children":[{"type":"text","value":"2.","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"aURiYqJP8q"}],"key":"CUJFGSzdru"},{"type":"text","value":" The array data type is ","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"P0j0pqU1SK"},{"type":"inlineCode","value":"uint8","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"clswzNnZuW"},{"type":"text","value":" and the minimum/maximum value results\nsuggest that all 256 colors (from ","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"fvP2IBXhKH"},{"type":"inlineCode","value":"0","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"D3KaxSz4Lt"},{"type":"text","value":" to ","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"DliMOtGFQR"},{"type":"inlineCode","value":"255","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"mGAaFGdW5J"},{"type":"text","value":") are used in the X-ray. Let’s\nvisualize the ","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"G4ozPBSFRc"},{"type":"emphasis","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"children":[{"type":"text","value":"pixel intensity distribution","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"JIK2rgliPU"}],"key":"mP8kReYLEf"},{"type":"text","value":" of the original raw X-ray image\nwith ","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"te2tzTZBDY"},{"type":"inlineCode","value":"ndimage.histogram()","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"ytD67NRUkP"},{"type":"text","value":" and Matplotlib:","position":{"start":{"line":426,"column":1},"end":{"line":426,"column":1}},"key":"A05msYCtJf"}],"key":"uN3XsrOY4p"}],"key":"sVUtB2ZgZl"},{"type":"block","kind":"notebook-code","children":[{"type":"code","lang":"python","executable":true,"value":"pixel_intensity_distribution = ndimage.histogram(\n xray_image, min=np.min(xray_image), max=np.max(xray_image), bins=256\n)\n\nfig, ax = plt.subplots()\nax.plot(pixel_intensity_distribution)\nax.set_title(\"Pixel intensity distribution\")","key":"WIA8eWGcWh"},{"type":"outputs","id":"mYVoWOUCq1J4Wjx7yq0vB","children":[{"type":"output","children":[],"jupyter_data":{"output_type":"display_data","metadata":{},"data":{"text/plain":{"content":"
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X-ray image processing

This tutorial demonstrates how to read and process X-ray images with NumPy, +imageio, Matplotlib and SciPy. You will learn how to load medical images, focus +on certain parts, and visually compare them using the +Gaussian, +Laplacian-Gaussian, +Sobel, and +Canny filters for edge +detection.

X-ray image analysis can be part of your data analysis and machine learning workflow +when, for example, you’re building an algorithm that helps +detect pneumonia +as part of a Kaggle +competition. +In the healthcare industry, medical image processing and analysis is +particularly important when images are estimated to account for +at least 90% of all +medical data.

You’ll be working with radiology images from the +ChestX-ray8 +dataset provided by the National Institutes of Health (NIH). +ChestX-ray8 contains over 100,000 de-identified X-ray images in the PNG format +from more than 30,000 patients. You can find ChestX-ray8’s files on NIH’s public +Box repository in the /images +folder. (For more details, refer to the research +paper +published at CVPR (a computer vision conference) in 2017.)

For your convenience, a small number of PNG images have been saved to this +tutorial’s repository under tutorial-x-ray-image-processing/, since +ChestX-ray8 contains gigabytes of data and you may find it challenging to +download it in batches.

A series of 9 x-ray images of the same region of a patient's chest is shown with different types of image processing filters applied to each image. Each x-ray shows different types of biological detail.

Prerequisites

The reader should have some knowledge of Python, NumPy arrays, and Matplotlib. +To refresh the memory, you can take the +Python and Matplotlib +PyPlot tutorials, +and the NumPy quickstart.

The following packages are used in this tutorial:

  • imageio for reading and writing image data. The +healthcare industry usually works with the +DICOM format for medical imaging and +imageio should be +well-suited for reading that format. For simplicity, in this tutorial you’ll be +working with PNG files.

  • Matplotlib for data visualization.

  • SciPy for multi-dimensional image processing via +ndimage.

This tutorial can be run locally in an isolated environment, such as +Virtualenv or +conda. +You can use Jupyter Notebook or JupyterLab to run +each notebook cell.

Table of contents

  1. Examine an X-ray with imageio

  2. Combine images into a multi-dimensional array to demonstrate progression

  3. Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and +Canny filters

  4. Apply masks to X-rays with np.where()

  5. Compare the results

Examine an X-ray with imageio

Let’s begin with a simple example using just one X-ray image from the +ChestX-ray8 dataset.

The file — 00000011_001.png — has been downloaded for you and saved in the +/tutorial-x-ray-image-processing folder.

1. Load the image with imageio:

import os
+import imageio
+
+DIR = "tutorial-x-ray-image-processing"
+
+xray_image = imageio.v3.imread(os.path.join(DIR, "00000011_001.png"))

2. Check that its shape is 1024x1024 pixels and that the array is made up of +8-bit integers:

print(xray_image.shape)
+print(xray_image.dtype)
(1024, 1024)
+uint8
+

3. Import matplotlib and display the image in a grayscale colormap:

import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+ax.imshow(xray_image, cmap="gray")
+ax.set_axis_off()
<Figure size 640x480 with 1 Axes>

Combine images into a multidimensional array to demonstrate progression

In the next example, instead of 1 image you’ll use 9 X-ray 1024x1024-pixel +images from the ChestX-ray8 dataset that have been downloaded and extracted +from one of the dataset files. They are numbered from ...000.png to +...008.png and let’s assume they belong to the same patient.

1. Import NumPy, read in each of the X-rays, and create a three-dimensional +array where the first dimension corresponds to image number:

import numpy as np
+num_imgs = 9
+
+combined_xray_images_1 = np.array(
+    [imageio.v3.imread(os.path.join(DIR, f"00000011_00{i}.png")) for i in range(num_imgs)]
+)

2. Check the shape of the new X-ray image array containing 9 stacked images:

combined_xray_images_1.shape
(9, 1024, 1024)

Note that the shape in the first dimension matches num_imgs, so the +combined_xray_images_1 array can be interpreted as a stack of 2D images.

3. You can now display the “health progress” by plotting each of frames next +to each other using Matplotlib:

fig, axes = plt.subplots(nrows=1, ncols=num_imgs, figsize=(30, 30))
+
+for img, ax in zip(combined_xray_images_1, axes):
+    ax.imshow(img, cmap='gray')
+    ax.axis('off')
<Figure size 3000x3000 with 9 Axes>

4. In addition, it can be helpful to show the progress as an animation. +Let’s create a GIF file with imageio.mimwrite() and display the result in the +notebook:

GIF_PATH = os.path.join(DIR, "xray_image.gif")
+imageio.mimwrite(GIF_PATH, combined_xray_images_1, format= ".gif", duration=1000)

Which gives us: +An animated gif repeatedly cycles through a series of 8 x-rays, showing the same viewpoint of the patient's chest at different points in time. The patient's bones and internal organs can be visually compared from frame to frame.

Edge detection using the Laplacian-Gaussian, Gaussian gradient, Sobel, and Canny filters

When processing biomedical data, it can be useful to emphasize the 2D +“edges” to focus on particular +features in an image. To do that, using +image gradients can be +particularly helpful when detecting the change of color pixel intensity.

The Laplace filter with Gaussian second derivatives

Let’s start with an n-dimensional +Laplace filter +(“Laplacian-Gaussian”) that uses +Gaussian second +derivatives. This Laplacian method focuses on pixels with rapid intensity change +in values and is combined with Gaussian smoothing to +remove noise. Let’s examine +how it can be useful in analyzing 2D X-ray images.

  • The implementation of the Laplacian-Gaussian filter is relatively +straightforward: 1) import the ndimage module from SciPy; and 2) call +scipy.ndimage.gaussian_laplace() +with a sigma (scalar) parameter, which affects the standard deviations of the +Gaussian filter (you’ll use 1 in the example below):

from scipy import ndimage
+
+xray_image_laplace_gaussian = ndimage.gaussian_laplace(xray_image, sigma=1)

Display the original X-ray and the one with the Laplacian-Gaussian filter:

fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(10, 10))
+
+axes[0].set_title("Original")
+axes[0].imshow(xray_image, cmap="gray")
+axes[1].set_title("Laplacian-Gaussian (edges)")
+axes[1].imshow(xray_image_laplace_gaussian, cmap="gray")
+for i in axes:
+    i.axis("off")
<Figure size 1000x1000 with 2 Axes>

The Gaussian gradient magnitude method

Another method for edge detection that can be useful is the +Gaussian (gradient) filter. +It computes the multidimensional gradient magnitude with Gaussian derivatives +and helps by remove +high-frequency +image components.

1. Call scipy.ndimage.gaussian_gradient_magnitude() +with a sigma (scalar) parameter (for standard deviations; you’ll use 2 in the +example below):

x_ray_image_gaussian_gradient = ndimage.gaussian_gradient_magnitude(xray_image, sigma=2)

2. Display the original X-ray and the one with the Gaussian gradient filter:

fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(10, 10))
+
+axes[0].set_title("Original")
+axes[0].imshow(xray_image, cmap="gray")
+axes[1].set_title("Gaussian gradient (edges)")
+axes[1].imshow(x_ray_image_gaussian_gradient, cmap="gray")
+for i in axes:
+    i.axis("off")
<Figure size 1000x1000 with 2 Axes>

The Sobel-Feldman operator (the Sobel filter)

To find regions of high spatial frequency (the edges or the edge maps) along the +horizontal and vertical axes of a 2D X-ray image, you can use the +Sobel-Feldman operator (Sobel filter) +technique. The Sobel filter applies two 3x3 kernel matrices — one for each axis +— onto the X-ray through a convolution. +Then, these two points (gradients) are combined using the +Pythagorean theorem to +produce a gradient magnitude.

1. Use the Sobel filters — (scipy.ndimage.sobel()) +— on x- and y-axes of the X-ray. Then, calculate the distance between x and +y (with the Sobel filters applied to them) using the +Pythagorean theorem and +NumPy’s np.hypot() +to obtain the magnitude. Finally, normalize the rescaled image for the pixel +values to be between 0 and 255.

Image normalization +follows the output_channel = 255.0 * (input_channel - min_value) / (max_value - min_value) +formula. Because you’re +using a grayscale image, you need to normalize just one channel.

x_sobel = ndimage.sobel(xray_image, axis=0)
+y_sobel = ndimage.sobel(xray_image, axis=1)
+
+xray_image_sobel = np.hypot(x_sobel, y_sobel)
+
+xray_image_sobel *= 255.0 / np.max(xray_image_sobel)

2. Change the new image array data type to the 32-bit floating-point format +from float16 to make it compatible +with Matplotlib:

print("The data type - before: ", xray_image_sobel.dtype)
+
+xray_image_sobel = xray_image_sobel.astype("float32")
+
+print("The data type - after: ", xray_image_sobel.dtype)
The data type - before:  float16
+The data type - after:  float32
+

3. Display the original X-ray and the one with the Sobel “edge” filter +applied. Note that both the grayscale and CMRmap colormaps are used to help +emphasize the edges:

fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(15, 15))
+
+axes[0].set_title("Original")
+axes[0].imshow(xray_image, cmap="gray")
+axes[1].set_title("Sobel (edges) - grayscale")
+axes[1].imshow(xray_image_sobel, cmap="gray")
+axes[2].set_title("Sobel (edges) - CMRmap")
+axes[2].imshow(xray_image_sobel, cmap="CMRmap")
+for i in axes:
+    i.axis("off")
<Figure size 1500x1500 with 3 Axes>

The Canny filter

You can also consider using another well-known filter for edge detection called +the Canny filter.

First, you apply a Gaussian +filter to remove the noise in an image. In this example, you’re using using the +Fourier filter which +smoothens the X-ray through a convolution +process. Next, you apply the Prewitt filter +on each of the 2 axes of the image to help detect some of the edges — this will +result in 2 gradient values. Similar to the Sobel filter, the Prewitt operator +also applies two 3x3 kernel matrices — one for each axis — onto the X-ray +through a convolution. +In the end, you compute the magnitude between the two gradients using the +Pythagorean theorem and +normalize +the images, as before.

1. Use SciPy’s Fourier filters — scipy.ndimage.fourier_gaussian() +— with a small sigma value to remove some of the noise from the X-ray. Then, +calculate two gradients using scipy.ndimage.prewitt(). +Next, measure the distance between the gradients using NumPy’s np.hypot(). +Finally, normalize +the rescaled image, as before.

fourier_gaussian = ndimage.fourier_gaussian(xray_image, sigma=0.05)
+
+x_prewitt = ndimage.prewitt(fourier_gaussian, axis=0)
+y_prewitt = ndimage.prewitt(fourier_gaussian, axis=1)
+
+xray_image_canny = np.hypot(x_prewitt, y_prewitt)
+
+xray_image_canny *= 255.0 / np.max(xray_image_canny)
+
+print("The data type - ", xray_image_canny.dtype)
The data type -  float64
+

2. Plot the original X-ray image and the ones with the edges detected with +the help of the Canny filter technique. The edges can be emphasized using the +prism, nipy_spectral, and terrain Matplotlib colormaps.

fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(20, 15))
+
+axes[0].set_title("Original")
+axes[0].imshow(xray_image, cmap="gray")
+axes[1].set_title("Canny (edges) - prism")
+axes[1].imshow(xray_image_canny, cmap="prism")
+axes[2].set_title("Canny (edges) - nipy_spectral")
+axes[2].imshow(xray_image_canny, cmap="nipy_spectral")
+axes[3].set_title("Canny (edges) - terrain")
+axes[3].imshow(xray_image_canny, cmap="terrain")
+for i in axes:
+    i.axis("off")
<Figure size 2000x1500 with 4 Axes>

Apply masks to X-rays with np.where()

To screen out only certain pixels in X-ray images to help detect particular +features, you can apply masks with NumPy’s +np.where(condition: array_like (bool), x: array_like, y: ndarray) +that returns x when True and y when False.

Identifying regions of interest — certain sets of pixels in an image — can be +useful and masks serve as boolean arrays of the same shape as the original +image.

1. Retrieve some basics statistics about the pixel values in the original +X-ray image you’ve been working with:

print("The data type of the X-ray image is: ", xray_image.dtype)
+print("The minimum pixel value is: ", np.min(xray_image))
+print("The maximum pixel value is: ", np.max(xray_image))
+print("The average pixel value is: ", np.mean(xray_image))
+print("The median pixel value is: ", np.median(xray_image))
The data type of the X-ray image is:  uint8
+The minimum pixel value is:  0
+The maximum pixel value is:  255
+The average pixel value is:  172.52233219146729
+The median pixel value is:  195.0
+

2. The array data type is uint8 and the minimum/maximum value results +suggest that all 256 colors (from 0 to 255) are used in the X-ray. Let’s +visualize the pixel intensity distribution of the original raw X-ray image +with ndimage.histogram() and Matplotlib:

pixel_intensity_distribution = ndimage.histogram(
+    xray_image, min=np.min(xray_image), max=np.max(xray_image), bins=256
+)
+
+fig, ax = plt.subplots()
+ax.plot(pixel_intensity_distribution)
+ax.set_title("Pixel intensity distribution")
<Figure size 640x480 with 1 Axes>

As the pixel intensity distribution suggests, there are many low (between around +0 and 20) and very high (between around 200 and 240) pixel values.

3. You can create different conditional masks with NumPy’s np.where() — +for example, let’s have only those values of the image with the pixels exceeding +a certain threshold:

# The threshold is "greater than 150"
+# Return the original image if true, `0` otherwise
+xray_image_mask_noisy = np.where(xray_image > 150, xray_image, 0)
+
+fig, ax = plt.subplots()
+ax.imshow(xray_image_mask_noisy, cmap="gray")
+ax.set_axis_off()
<Figure size 640x480 with 1 Axes>
# The threshold is "greater than 150"
+# Return `1` if true, `0` otherwise
+xray_image_mask_less_noisy = np.where(xray_image > 150, 1, 0)
+
+fig, ax = plt.subplots()
+ax.imshow(xray_image_mask_less_noisy, cmap="gray")
+ax.set_axis_off()
<Figure size 640x480 with 1 Axes>

Compare the results

Let’s display some of the results of processed X-ray images you’ve worked with +so far:

fig, axes = plt.subplots(nrows=1, ncols=9, figsize=(30, 30))
+
+axes[0].set_title("Original")
+axes[0].imshow(xray_image, cmap="gray")
+axes[1].set_title("Laplace-Gaussian (edges)")
+axes[1].imshow(xray_image_laplace_gaussian, cmap="gray")
+axes[2].set_title("Gaussian gradient (edges)")
+axes[2].imshow(x_ray_image_gaussian_gradient, cmap="gray")
+axes[3].set_title("Sobel (edges) - grayscale")
+axes[3].imshow(xray_image_sobel, cmap="gray")
+axes[4].set_title("Sobel (edges) - hot")
+axes[4].imshow(xray_image_sobel, cmap="hot")
+axes[5].set_title("Canny (edges) - prism)")
+axes[5].imshow(xray_image_canny, cmap="prism")
+axes[6].set_title("Canny (edges) - nipy_spectral)")
+axes[6].imshow(xray_image_canny, cmap="nipy_spectral")
+axes[7].set_title("Mask (> 150, noisy)")
+axes[7].imshow(xray_image_mask_noisy, cmap="gray")
+axes[8].set_title("Mask (> 150, less noisy)")
+axes[8].imshow(xray_image_mask_less_noisy, cmap="gray")
+for i in axes:
+    i.axis("off")
<Figure size 3000x3000 with 9 Axes>

Next steps

If you want to use your own samples, you can use +this image +or search for various other ones on the Openi +database. Openi contains many biomedical images and it can be especially helpful +if you have low bandwidth and/or are restricted by the amount of data you can +download.

To learn more about image processing in the context of biomedical image data or +simply edge detection, you may find the following material useful:

Applications
Deep learning on MNIST
Applications
Static Equilibrium
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