diff --git a/.github/workflows/deploy.yaml b/.github/workflows/deploy.yaml deleted file mode 100644 index fc3c9b9..0000000 --- a/.github/workflows/deploy.yaml +++ /dev/null @@ -1,47 +0,0 @@ -name: Deploy to GitHub Pages - -on: - push: - branches: - - main - paths-ignore: - - README.md - - # Review gh actions docs if you want to further define triggers, paths, etc - # https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#on - -permissions: - contents: write - -jobs: - deploy: - name: Deploy to GitHub Pages - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v3 - - uses: actions/setup-node@v3 - with: - node-version: 18 - cache: yarn - - - name: Install dependencies - run: yarn install --frozen-lockfile - - name: Build website - run: yarn build - - # Popular action to deploy to GitHub Pages: - # Docs: https://github.com/peaceiris/actions-gh-pages#%EF%B8%8F-docusaurus - - name: Deploy to GitHub Pages - uses: peaceiris/actions-gh-pages@v3 - if: github.ref == 'refs/heads/main' - with: - github_token: ${{ secrets.GITHUB_TOKEN }} - # Build output to publish to the `gh-pages` branch: - publish_dir: ./build - # The following lines assign commit authorship to the official - # GH-Actions bot for deploys to `gh-pages` branch: - # https://github.com/actions/checkout/issues/13#issuecomment-724415212 - # The GH actions bot is used by default if you didn't specify the two fields. - # You can swap them out with your own user credentials. - # user_name: github-actions[bot] - # user_email: 41898282+github-actions[bot]@users.noreply.github.com diff --git a/.gitignore b/.gitignore deleted file mode 100644 index 228515e..0000000 --- a/.gitignore +++ /dev/null @@ -1,142 +0,0 @@ -# Logs -logs -*.log -npm-debug.log* -yarn-debug.log* -yarn-error.log* -lerna-debug.log* -.pnpm-debug.log* - -# Diagnostic reports (https://nodejs.org/api/report.html) -report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json - -# Runtime data -pids -*.pid -*.seed -*.pid.lock - -# 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mkdirpPromise(e,{chmod:r,utimes:o}={}){if(e=this.resolve(e),e===this.pathUtils.dirname(e))return;let a=e.split(this.pathUtils.sep),n;for(let u=2;u<=a.length;++u){let A=a.slice(0,u).join(this.pathUtils.sep);if(!this.existsSync(A)){try{await this.mkdirPromise(A)}catch(p){if(p.code==="EEXIST")continue;throw p}if(n??=A,r!=null&&await this.chmodPromise(A,r),o!=null)await this.utimesPromise(A,o[0],o[1]);else{let p=await this.statPromise(this.pathUtils.dirname(A));await this.utimesPromise(A,p.atime,p.mtime)}}}return n}mkdirpSync(e,{chmod:r,utimes:o}={}){if(e=this.resolve(e),e===this.pathUtils.dirname(e))return;let a=e.split(this.pathUtils.sep),n;for(let u=2;u<=a.length;++u){let A=a.slice(0,u).join(this.pathUtils.sep);if(!this.existsSync(A)){try{this.mkdirSync(A)}catch(p){if(p.code==="EEXIST")continue;throw p}if(n??=A,r!=null&&this.chmodSync(A,r),o!=null)this.utimesSync(A,o[0],o[1]);else{let p=this.statSync(this.pathUtils.dirname(A));this.utimesSync(A,p.atime,p.mtime)}}}return n}async copyPromise(e,r,{baseFs:o=this,overwrite:a=!0,stableSort:n=!1,stableTime:u=!1,linkStrategy:A=null}={}){return await M7(this,e,o,r,{overwrite:a,stableSort:n,stableTime:u,linkStrategy:A})}copySync(e,r,{baseFs:o=this,overwrite:a=!0}={}){let n=o.lstatSync(r),u=this.existsSync(e);if(n.isDirectory()){this.mkdirpSync(e);let p=o.readdirSync(r);for(let h of p)this.copySync(this.pathUtils.join(e,h),o.pathUtils.join(r,h),{baseFs:o,overwrite:a})}else if(n.isFile()){if(!u||a){u&&this.removeSync(e);let p=o.readFileSync(r);this.writeFileSync(e,p)}}else if(n.isSymbolicLink()){if(!u||a){u&&this.removeSync(e);let p=o.readlinkSync(r);this.symlinkSync(DD(this.pathUtils,p),e)}}else throw new Error(`Unsupported file type (file: ${r}, mode: 0o${n.mode.toString(8).padStart(6,"0")})`);let A=n.mode&511;this.chmodSync(e,A)}async changeFilePromise(e,r,o={}){return Buffer.isBuffer(r)?this.changeFileBufferPromise(e,r,o):this.changeFileTextPromise(e,r,o)}async changeFileBufferPromise(e,r,{mode:o}={}){let a=Buffer.alloc(0);try{a=await this.readFilePromise(e)}catch{}Buffer.compare(a,r)!==0&&await this.writeFilePromise(e,r,{mode:o})}async changeFileTextPromise(e,r,{automaticNewlines:o,mode:a}={}){let n="";try{n=await this.readFilePromise(e,"utf8")}catch{}let u=o?Mg(n,r):r;n!==u&&await this.writeFilePromise(e,u,{mode:a})}changeFileSync(e,r,o={}){return Buffer.isBuffer(r)?this.changeFileBufferSync(e,r,o):this.changeFileTextSync(e,r,o)}changeFileBufferSync(e,r,{mode:o}={}){let a=Buffer.alloc(0);try{a=this.readFileSync(e)}catch{}Buffer.compare(a,r)!==0&&this.writeFileSync(e,r,{mode:o})}changeFileTextSync(e,r,{automaticNewlines:o=!1,mode:a}={}){let n="";try{n=this.readFileSync(e,"utf8")}catch{}let u=o?Mg(n,r):r;n!==u&&this.writeFileSync(e,u,{mode:a})}async movePromise(e,r){try{await this.renamePromise(e,r)}catch(o){if(o.code==="EXDEV")await this.copyPromise(r,e),await this.removePromise(e);else throw o}}moveSync(e,r){try{this.renameSync(e,r)}catch(o){if(o.code==="EXDEV")this.copySync(r,e),this.removeSync(e);else throw o}}async lockPromise(e,r){let o=`${e}.flock`,a=1e3/60,n=Date.now(),u=null,A=async()=>{let p;try{[p]=await this.readJsonPromise(o)}catch{return Date.now()-n<500}try{return process.kill(p,0),!0}catch{return!1}};for(;u===null;)try{u=await this.openPromise(o,"wx")}catch(p){if(p.code==="EEXIST"){if(!await A())try{await this.unlinkPromise(o);continue}catch{}if(Date.now()-n<60*1e3)await new Promise(h=>setTimeout(h,a));else throw new Error(`Couldn't acquire a lock in a reasonable time (via ${o})`)}else throw p}await this.writePromise(u,JSON.stringify([process.pid]));try{return await r()}finally{try{await this.closePromise(u),await this.unlinkPromise(o)}catch{}}}async readJsonPromise(e){let r=await this.readFilePromise(e,"utf8");try{return JSON.parse(r)}catch(o){throw o.message+=` (in ${e})`,o}}readJsonSync(e){let r=this.readFileSync(e,"utf8");try{return JSON.parse(r)}catch(o){throw o.message+=` (in ${e})`,o}}async writeJsonPromise(e,r,{compact:o=!1}={}){let a=o?0:2;return await this.writeFilePromise(e,`${JSON.stringify(r,null,a)} -`)}writeJsonSync(e,r,{compact:o=!1}={}){let a=o?0:2;return this.writeFileSync(e,`${JSON.stringify(r,null,a)} -`)}async preserveTimePromise(e,r){let o=await this.lstatPromise(e),a=await r();typeof a<"u"&&(e=a),await this.lutimesPromise(e,o.atime,o.mtime)}async preserveTimeSync(e,r){let o=this.lstatSync(e),a=r();typeof a<"u"&&(e=a),this.lutimesSync(e,o.atime,o.mtime)}},Mu=class extends hf{constructor(){super(V)}}});var Ps,gf=Et(()=>{Ug();Ps=class extends hf{getExtractHint(e){return this.baseFs.getExtractHint(e)}resolve(e){return this.mapFromBase(this.baseFs.resolve(this.mapToBase(e)))}getRealPath(){return this.mapFromBase(this.baseFs.getRealPath())}async openPromise(e,r,o){return this.baseFs.openPromise(this.mapToBase(e),r,o)}openSync(e,r,o){return this.baseFs.openSync(this.mapToBase(e),r,o)}async opendirPromise(e,r){return Object.assign(await this.baseFs.opendirPromise(this.mapToBase(e),r),{path:e})}opendirSync(e,r){return Object.assign(this.baseFs.opendirSync(this.mapToBase(e),r),{path:e})}async readPromise(e,r,o,a,n){return await this.baseFs.readPromise(e,r,o,a,n)}readSync(e,r,o,a,n){return this.baseFs.readSync(e,r,o,a,n)}async writePromise(e,r,o,a,n){return typeof r=="string"?await this.baseFs.writePromise(e,r,o):await this.baseFs.writePromise(e,r,o,a,n)}writeSync(e,r,o,a,n){return typeof r=="string"?this.baseFs.writeSync(e,r,o):this.baseFs.writeSync(e,r,o,a,n)}async closePromise(e){return this.baseFs.closePromise(e)}closeSync(e){this.baseFs.closeSync(e)}createReadStream(e,r){return this.baseFs.createReadStream(e!==null?this.mapToBase(e):e,r)}createWriteStream(e,r){return this.baseFs.createWriteStream(e!==null?this.mapToBase(e):e,r)}async realpathPromise(e){return this.mapFromBase(await this.baseFs.realpathPromise(this.mapToBase(e)))}realpathSync(e){return this.mapFromBase(this.baseFs.realpathSync(this.mapToBase(e)))}async existsPromise(e){return this.baseFs.existsPromise(this.mapToBase(e))}existsSync(e){return this.baseFs.existsSync(this.mapToBase(e))}accessSync(e,r){return this.baseFs.accessSync(this.mapToBase(e),r)}async accessPromise(e,r){return this.baseFs.accessPromise(this.mapToBase(e),r)}async statPromise(e,r){return this.baseFs.statPromise(this.mapToBase(e),r)}statSync(e,r){return this.baseFs.statSync(this.mapToBase(e),r)}async fstatPromise(e,r){return this.baseFs.fstatPromise(e,r)}fstatSync(e,r){return this.baseFs.fstatSync(e,r)}lstatPromise(e,r){return this.baseFs.lstatPromise(this.mapToBase(e),r)}lstatSync(e,r){return this.baseFs.lstatSync(this.mapToBase(e),r)}async fchmodPromise(e,r){return this.baseFs.fchmodPromise(e,r)}fchmodSync(e,r){return this.baseFs.fchmodSync(e,r)}async chmodPromise(e,r){return this.baseFs.chmodPromise(this.mapToBase(e),r)}chmodSync(e,r){return this.baseFs.chmodSync(this.mapToBase(e),r)}async fchownPromise(e,r,o){return this.baseFs.fchownPromise(e,r,o)}fchownSync(e,r,o){return this.baseFs.fchownSync(e,r,o)}async chownPromise(e,r,o){return this.baseFs.chownPromise(this.mapToBase(e),r,o)}chownSync(e,r,o){return this.baseFs.chownSync(this.mapToBase(e),r,o)}async renamePromise(e,r){return this.baseFs.renamePromise(this.mapToBase(e),this.mapToBase(r))}renameSync(e,r){return this.baseFs.renameSync(this.mapToBase(e),this.mapToBase(r))}async copyFilePromise(e,r,o=0){return this.baseFs.copyFilePromise(this.mapToBase(e),this.mapToBase(r),o)}copyFileSync(e,r,o=0){return this.baseFs.copyFileSync(this.mapToBase(e),this.mapToBase(r),o)}async appendFilePromise(e,r,o){return this.baseFs.appendFilePromise(this.fsMapToBase(e),r,o)}appendFileSync(e,r,o){return this.baseFs.appendFileSync(this.fsMapToBase(e),r,o)}async writeFilePromise(e,r,o){return this.baseFs.writeFilePromise(this.fsMapToBase(e),r,o)}writeFileSync(e,r,o){return this.baseFs.writeFileSync(this.fsMapToBase(e),r,o)}async unlinkPromise(e){return this.baseFs.unlinkPromise(this.mapToBase(e))}unlinkSync(e){return this.baseFs.unlinkSync(this.mapToBase(e))}async utimesPromise(e,r,o){return this.baseFs.utimesPromise(this.mapToBase(e),r,o)}utimesSync(e,r,o){return this.baseFs.utimesSync(this.mapToBase(e),r,o)}async lutimesPromise(e,r,o){return this.baseFs.lutimesPromise(this.mapToBase(e),r,o)}lutimesSync(e,r,o){return this.baseFs.lutimesSync(this.mapToBase(e),r,o)}async mkdirPromise(e,r){return this.baseFs.mkdirPromise(this.mapToBase(e),r)}mkdirSync(e,r){return this.baseFs.mkdirSync(this.mapToBase(e),r)}async rmdirPromise(e,r){return this.baseFs.rmdirPromise(this.mapToBase(e),r)}rmdirSync(e,r){return this.baseFs.rmdirSync(this.mapToBase(e),r)}async linkPromise(e,r){return this.baseFs.linkPromise(this.mapToBase(e),this.mapToBase(r))}linkSync(e,r){return this.baseFs.linkSync(this.mapToBase(e),this.mapToBase(r))}async symlinkPromise(e,r,o){let a=this.mapToBase(r);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkPromise(this.mapToBase(e),a,o);let n=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(r),e)),u=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(a),n);return this.baseFs.symlinkPromise(u,a,o)}symlinkSync(e,r,o){let a=this.mapToBase(r);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkSync(this.mapToBase(e),a,o);let n=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(r),e)),u=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(a),n);return this.baseFs.symlinkSync(u,a,o)}async readFilePromise(e,r){return this.baseFs.readFilePromise(this.fsMapToBase(e),r)}readFileSync(e,r){return this.baseFs.readFileSync(this.fsMapToBase(e),r)}readdirPromise(e,r){return this.baseFs.readdirPromise(this.mapToBase(e),r)}readdirSync(e,r){return this.baseFs.readdirSync(this.mapToBase(e),r)}async readlinkPromise(e){return this.mapFromBase(await this.baseFs.readlinkPromise(this.mapToBase(e)))}readlinkSync(e){return this.mapFromBase(this.baseFs.readlinkSync(this.mapToBase(e)))}async truncatePromise(e,r){return this.baseFs.truncatePromise(this.mapToBase(e),r)}truncateSync(e,r){return this.baseFs.truncateSync(this.mapToBase(e),r)}async ftruncatePromise(e,r){return this.baseFs.ftruncatePromise(e,r)}ftruncateSync(e,r){return this.baseFs.ftruncateSync(e,r)}watch(e,r,o){return this.baseFs.watch(this.mapToBase(e),r,o)}watchFile(e,r,o){return this.baseFs.watchFile(this.mapToBase(e),r,o)}unwatchFile(e,r){return this.baseFs.unwatchFile(this.mapToBase(e),r)}fsMapToBase(e){return typeof e=="number"?e:this.mapToBase(e)}}});var Uu,W7=Et(()=>{gf();Uu=class extends Ps{constructor(r,{baseFs:o,pathUtils:a}){super(a);this.target=r,this.baseFs=o}getRealPath(){return this.target}getBaseFs(){return this.baseFs}mapFromBase(r){return r}mapToBase(r){return r}}});function K7(t){let e=t;return typeof t.path=="string"&&(e.path=ue.toPortablePath(t.path)),e}var V7,Tn,_g=Et(()=>{V7=$e(Be("fs"));Ug();Ca();Tn=class extends Mu{constructor(r=V7.default){super();this.realFs=r}getExtractHint(){return!1}getRealPath(){return Bt.root}resolve(r){return V.resolve(r)}async openPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.open(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}openSync(r,o,a){return this.realFs.openSync(ue.fromPortablePath(r),o,a)}async opendirPromise(r,o){return await new Promise((a,n)=>{typeof o<"u"?this.realFs.opendir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.opendir(ue.fromPortablePath(r),this.makeCallback(a,n))}).then(a=>{let n=a;return Object.defineProperty(n,"path",{value:r,configurable:!0,writable:!0}),n})}opendirSync(r,o){let n=typeof o<"u"?this.realFs.opendirSync(ue.fromPortablePath(r),o):this.realFs.opendirSync(ue.fromPortablePath(r));return Object.defineProperty(n,"path",{value:r,configurable:!0,writable:!0}),n}async readPromise(r,o,a=0,n=0,u=-1){return await new Promise((A,p)=>{this.realFs.read(r,o,a,n,u,(h,C)=>{h?p(h):A(C)})})}readSync(r,o,a,n,u){return this.realFs.readSync(r,o,a,n,u)}async writePromise(r,o,a,n,u){return await new Promise((A,p)=>typeof o=="string"?this.realFs.write(r,o,a,this.makeCallback(A,p)):this.realFs.write(r,o,a,n,u,this.makeCallback(A,p)))}writeSync(r,o,a,n,u){return typeof o=="string"?this.realFs.writeSync(r,o,a):this.realFs.writeSync(r,o,a,n,u)}async closePromise(r){await new Promise((o,a)=>{this.realFs.close(r,this.makeCallback(o,a))})}closeSync(r){this.realFs.closeSync(r)}createReadStream(r,o){let a=r!==null?ue.fromPortablePath(r):r;return this.realFs.createReadStream(a,o)}createWriteStream(r,o){let a=r!==null?ue.fromPortablePath(r):r;return this.realFs.createWriteStream(a,o)}async realpathPromise(r){return await new Promise((o,a)=>{this.realFs.realpath(ue.fromPortablePath(r),{},this.makeCallback(o,a))}).then(o=>ue.toPortablePath(o))}realpathSync(r){return ue.toPortablePath(this.realFs.realpathSync(ue.fromPortablePath(r),{}))}async existsPromise(r){return await new Promise(o=>{this.realFs.exists(ue.fromPortablePath(r),o)})}accessSync(r,o){return this.realFs.accessSync(ue.fromPortablePath(r),o)}async accessPromise(r,o){return await new Promise((a,n)=>{this.realFs.access(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}existsSync(r){return this.realFs.existsSync(ue.fromPortablePath(r))}async statPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.stat(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.stat(ue.fromPortablePath(r),this.makeCallback(a,n))})}statSync(r,o){return o?this.realFs.statSync(ue.fromPortablePath(r),o):this.realFs.statSync(ue.fromPortablePath(r))}async fstatPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.fstat(r,o,this.makeCallback(a,n)):this.realFs.fstat(r,this.makeCallback(a,n))})}fstatSync(r,o){return o?this.realFs.fstatSync(r,o):this.realFs.fstatSync(r)}async lstatPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.lstat(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.lstat(ue.fromPortablePath(r),this.makeCallback(a,n))})}lstatSync(r,o){return o?this.realFs.lstatSync(ue.fromPortablePath(r),o):this.realFs.lstatSync(ue.fromPortablePath(r))}async fchmodPromise(r,o){return await new Promise((a,n)=>{this.realFs.fchmod(r,o,this.makeCallback(a,n))})}fchmodSync(r,o){return this.realFs.fchmodSync(r,o)}async chmodPromise(r,o){return await new Promise((a,n)=>{this.realFs.chmod(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}chmodSync(r,o){return this.realFs.chmodSync(ue.fromPortablePath(r),o)}async fchownPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.fchown(r,o,a,this.makeCallback(n,u))})}fchownSync(r,o,a){return this.realFs.fchownSync(r,o,a)}async chownPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.chown(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}chownSync(r,o,a){return this.realFs.chownSync(ue.fromPortablePath(r),o,a)}async renamePromise(r,o){return await new Promise((a,n)=>{this.realFs.rename(ue.fromPortablePath(r),ue.fromPortablePath(o),this.makeCallback(a,n))})}renameSync(r,o){return this.realFs.renameSync(ue.fromPortablePath(r),ue.fromPortablePath(o))}async copyFilePromise(r,o,a=0){return await new Promise((n,u)=>{this.realFs.copyFile(ue.fromPortablePath(r),ue.fromPortablePath(o),a,this.makeCallback(n,u))})}copyFileSync(r,o,a=0){return this.realFs.copyFileSync(ue.fromPortablePath(r),ue.fromPortablePath(o),a)}async appendFilePromise(r,o,a){return await new Promise((n,u)=>{let A=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.appendFile(A,o,a,this.makeCallback(n,u)):this.realFs.appendFile(A,o,this.makeCallback(n,u))})}appendFileSync(r,o,a){let n=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.appendFileSync(n,o,a):this.realFs.appendFileSync(n,o)}async writeFilePromise(r,o,a){return await new Promise((n,u)=>{let A=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.writeFile(A,o,a,this.makeCallback(n,u)):this.realFs.writeFile(A,o,this.makeCallback(n,u))})}writeFileSync(r,o,a){let n=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.writeFileSync(n,o,a):this.realFs.writeFileSync(n,o)}async unlinkPromise(r){return await new Promise((o,a)=>{this.realFs.unlink(ue.fromPortablePath(r),this.makeCallback(o,a))})}unlinkSync(r){return this.realFs.unlinkSync(ue.fromPortablePath(r))}async utimesPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.utimes(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}utimesSync(r,o,a){this.realFs.utimesSync(ue.fromPortablePath(r),o,a)}async lutimesPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.lutimes(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}lutimesSync(r,o,a){this.realFs.lutimesSync(ue.fromPortablePath(r),o,a)}async mkdirPromise(r,o){return await new Promise((a,n)=>{this.realFs.mkdir(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}mkdirSync(r,o){return this.realFs.mkdirSync(ue.fromPortablePath(r),o)}async rmdirPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.rmdir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.rmdir(ue.fromPortablePath(r),this.makeCallback(a,n))})}rmdirSync(r,o){return this.realFs.rmdirSync(ue.fromPortablePath(r),o)}async linkPromise(r,o){return await new Promise((a,n)=>{this.realFs.link(ue.fromPortablePath(r),ue.fromPortablePath(o),this.makeCallback(a,n))})}linkSync(r,o){return this.realFs.linkSync(ue.fromPortablePath(r),ue.fromPortablePath(o))}async symlinkPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.symlink(ue.fromPortablePath(r.replace(/\/+$/,"")),ue.fromPortablePath(o),a,this.makeCallback(n,u))})}symlinkSync(r,o,a){return this.realFs.symlinkSync(ue.fromPortablePath(r.replace(/\/+$/,"")),ue.fromPortablePath(o),a)}async readFilePromise(r,o){return await new Promise((a,n)=>{let u=typeof r=="string"?ue.fromPortablePath(r):r;this.realFs.readFile(u,o,this.makeCallback(a,n))})}readFileSync(r,o){let a=typeof r=="string"?ue.fromPortablePath(r):r;return this.realFs.readFileSync(a,o)}async readdirPromise(r,o){return await new Promise((a,n)=>{o?o.recursive&&process.platform==="win32"?o.withFileTypes?this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(u=>a(u.map(K7)),n)):this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(u=>a(u.map(ue.toPortablePath)),n)):this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.readdir(ue.fromPortablePath(r),this.makeCallback(a,n))})}readdirSync(r,o){return o?o.recursive&&process.platform==="win32"?o.withFileTypes?this.realFs.readdirSync(ue.fromPortablePath(r),o).map(K7):this.realFs.readdirSync(ue.fromPortablePath(r),o).map(ue.toPortablePath):this.realFs.readdirSync(ue.fromPortablePath(r),o):this.realFs.readdirSync(ue.fromPortablePath(r))}async readlinkPromise(r){return await new Promise((o,a)=>{this.realFs.readlink(ue.fromPortablePath(r),this.makeCallback(o,a))}).then(o=>ue.toPortablePath(o))}readlinkSync(r){return ue.toPortablePath(this.realFs.readlinkSync(ue.fromPortablePath(r)))}async truncatePromise(r,o){return await new Promise((a,n)=>{this.realFs.truncate(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}truncateSync(r,o){return this.realFs.truncateSync(ue.fromPortablePath(r),o)}async ftruncatePromise(r,o){return await new Promise((a,n)=>{this.realFs.ftruncate(r,o,this.makeCallback(a,n))})}ftruncateSync(r,o){return this.realFs.ftruncateSync(r,o)}watch(r,o,a){return this.realFs.watch(ue.fromPortablePath(r),o,a)}watchFile(r,o,a){return this.realFs.watchFile(ue.fromPortablePath(r),o,a)}unwatchFile(r,o){return this.realFs.unwatchFile(ue.fromPortablePath(r),o)}makeCallback(r,o){return(a,n)=>{a?o(a):r(n)}}}});var gn,z7=Et(()=>{_g();gf();Ca();gn=class extends Ps{constructor(r,{baseFs:o=new Tn}={}){super(V);this.target=this.pathUtils.normalize(r),this.baseFs=o}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.target)}resolve(r){return this.pathUtils.isAbsolute(r)?V.normalize(r):this.baseFs.resolve(V.join(this.target,r))}mapFromBase(r){return r}mapToBase(r){return this.pathUtils.isAbsolute(r)?r:this.pathUtils.join(this.target,r)}}});var J7,_u,X7=Et(()=>{_g();gf();Ca();J7=Bt.root,_u=class extends Ps{constructor(r,{baseFs:o=new Tn}={}){super(V);this.target=this.pathUtils.resolve(Bt.root,r),this.baseFs=o}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.pathUtils.relative(Bt.root,this.target))}getTarget(){return this.target}getBaseFs(){return this.baseFs}mapToBase(r){let o=this.pathUtils.normalize(r);if(this.pathUtils.isAbsolute(r))return this.pathUtils.resolve(this.target,this.pathUtils.relative(J7,r));if(o.match(/^\.\.\/?/))throw new Error(`Resolving this path (${r}) would escape the jail`);return this.pathUtils.resolve(this.target,r)}mapFromBase(r){return this.pathUtils.resolve(J7,this.pathUtils.relative(this.target,r))}}});var ry,Z7=Et(()=>{gf();ry=class extends Ps{constructor(r,o){super(o);this.instance=null;this.factory=r}get baseFs(){return this.instance||(this.instance=this.factory()),this.instance}set baseFs(r){this.instance=r}mapFromBase(r){return r}mapToBase(r){return r}}});var Hg,wa,Up,$7=Et(()=>{Hg=Be("fs");Ug();_g();KR();BD();Ca();wa=4278190080,Up=class extends Mu{constructor({baseFs:r=new Tn,filter:o=null,magicByte:a=42,maxOpenFiles:n=1/0,useCache:u=!0,maxAge:A=5e3,typeCheck:p=Hg.constants.S_IFREG,getMountPoint:h,factoryPromise:C,factorySync:I}){if(Math.floor(a)!==a||!(a>1&&a<=127))throw new Error("The magic byte must be set to a round value between 1 and 127 included");super();this.fdMap=new Map;this.nextFd=3;this.isMount=new Set;this.notMount=new Set;this.realPaths=new Map;this.limitOpenFilesTimeout=null;this.baseFs=r,this.mountInstances=u?new Map:null,this.factoryPromise=C,this.factorySync=I,this.filter=o,this.getMountPoint=h,this.magic=a<<24,this.maxAge=A,this.maxOpenFiles=n,this.typeCheck=p}getExtractHint(r){return this.baseFs.getExtractHint(r)}getRealPath(){return this.baseFs.getRealPath()}saveAndClose(){if(Og(this),this.mountInstances)for(let[r,{childFs:o}]of this.mountInstances.entries())o.saveAndClose?.(),this.mountInstances.delete(r)}discardAndClose(){if(Og(this),this.mountInstances)for(let[r,{childFs:o}]of this.mountInstances.entries())o.discardAndClose?.(),this.mountInstances.delete(r)}resolve(r){return this.baseFs.resolve(r)}remapFd(r,o){let a=this.nextFd++|this.magic;return this.fdMap.set(a,[r,o]),a}async openPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.openPromise(r,o,a),async(n,{subPath:u})=>this.remapFd(n,await n.openPromise(u,o,a)))}openSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.openSync(r,o,a),(n,{subPath:u})=>this.remapFd(n,n.openSync(u,o,a)))}async opendirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.opendirPromise(r,o),async(a,{subPath:n})=>await a.opendirPromise(n,o),{requireSubpath:!1})}opendirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.opendirSync(r,o),(a,{subPath:n})=>a.opendirSync(n,o),{requireSubpath:!1})}async readPromise(r,o,a,n,u){if((r&wa)!==this.magic)return await this.baseFs.readPromise(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("read");let[p,h]=A;return await p.readPromise(h,o,a,n,u)}readSync(r,o,a,n,u){if((r&wa)!==this.magic)return this.baseFs.readSync(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("readSync");let[p,h]=A;return p.readSync(h,o,a,n,u)}async writePromise(r,o,a,n,u){if((r&wa)!==this.magic)return typeof o=="string"?await this.baseFs.writePromise(r,o,a):await this.baseFs.writePromise(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("write");let[p,h]=A;return typeof o=="string"?await p.writePromise(h,o,a):await p.writePromise(h,o,a,n,u)}writeSync(r,o,a,n,u){if((r&wa)!==this.magic)return typeof o=="string"?this.baseFs.writeSync(r,o,a):this.baseFs.writeSync(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("writeSync");let[p,h]=A;return typeof o=="string"?p.writeSync(h,o,a):p.writeSync(h,o,a,n,u)}async closePromise(r){if((r&wa)!==this.magic)return await this.baseFs.closePromise(r);let o=this.fdMap.get(r);if(typeof o>"u")throw Io("close");this.fdMap.delete(r);let[a,n]=o;return await a.closePromise(n)}closeSync(r){if((r&wa)!==this.magic)return this.baseFs.closeSync(r);let o=this.fdMap.get(r);if(typeof o>"u")throw Io("closeSync");this.fdMap.delete(r);let[a,n]=o;return a.closeSync(n)}createReadStream(r,o){return r===null?this.baseFs.createReadStream(r,o):this.makeCallSync(r,()=>this.baseFs.createReadStream(r,o),(a,{archivePath:n,subPath:u})=>{let A=a.createReadStream(u,o);return A.path=ue.fromPortablePath(this.pathUtils.join(n,u)),A})}createWriteStream(r,o){return r===null?this.baseFs.createWriteStream(r,o):this.makeCallSync(r,()=>this.baseFs.createWriteStream(r,o),(a,{subPath:n})=>a.createWriteStream(n,o))}async realpathPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.realpathPromise(r),async(o,{archivePath:a,subPath:n})=>{let u=this.realPaths.get(a);return typeof u>"u"&&(u=await this.baseFs.realpathPromise(a),this.realPaths.set(a,u)),this.pathUtils.join(u,this.pathUtils.relative(Bt.root,await o.realpathPromise(n)))})}realpathSync(r){return this.makeCallSync(r,()=>this.baseFs.realpathSync(r),(o,{archivePath:a,subPath:n})=>{let u=this.realPaths.get(a);return typeof u>"u"&&(u=this.baseFs.realpathSync(a),this.realPaths.set(a,u)),this.pathUtils.join(u,this.pathUtils.relative(Bt.root,o.realpathSync(n)))})}async existsPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.existsPromise(r),async(o,{subPath:a})=>await o.existsPromise(a))}existsSync(r){return this.makeCallSync(r,()=>this.baseFs.existsSync(r),(o,{subPath:a})=>o.existsSync(a))}async accessPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.accessPromise(r,o),async(a,{subPath:n})=>await a.accessPromise(n,o))}accessSync(r,o){return this.makeCallSync(r,()=>this.baseFs.accessSync(r,o),(a,{subPath:n})=>a.accessSync(n,o))}async statPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.statPromise(r,o),async(a,{subPath:n})=>await a.statPromise(n,o))}statSync(r,o){return this.makeCallSync(r,()=>this.baseFs.statSync(r,o),(a,{subPath:n})=>a.statSync(n,o))}async fstatPromise(r,o){if((r&wa)!==this.magic)return this.baseFs.fstatPromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fstat");let[n,u]=a;return n.fstatPromise(u,o)}fstatSync(r,o){if((r&wa)!==this.magic)return this.baseFs.fstatSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fstatSync");let[n,u]=a;return n.fstatSync(u,o)}async lstatPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.lstatPromise(r,o),async(a,{subPath:n})=>await a.lstatPromise(n,o))}lstatSync(r,o){return this.makeCallSync(r,()=>this.baseFs.lstatSync(r,o),(a,{subPath:n})=>a.lstatSync(n,o))}async fchmodPromise(r,o){if((r&wa)!==this.magic)return this.baseFs.fchmodPromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fchmod");let[n,u]=a;return n.fchmodPromise(u,o)}fchmodSync(r,o){if((r&wa)!==this.magic)return this.baseFs.fchmodSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fchmodSync");let[n,u]=a;return n.fchmodSync(u,o)}async chmodPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.chmodPromise(r,o),async(a,{subPath:n})=>await a.chmodPromise(n,o))}chmodSync(r,o){return this.makeCallSync(r,()=>this.baseFs.chmodSync(r,o),(a,{subPath:n})=>a.chmodSync(n,o))}async fchownPromise(r,o,a){if((r&wa)!==this.magic)return this.baseFs.fchownPromise(r,o,a);let n=this.fdMap.get(r);if(typeof n>"u")throw Io("fchown");let[u,A]=n;return u.fchownPromise(A,o,a)}fchownSync(r,o,a){if((r&wa)!==this.magic)return this.baseFs.fchownSync(r,o,a);let n=this.fdMap.get(r);if(typeof n>"u")throw Io("fchownSync");let[u,A]=n;return u.fchownSync(A,o,a)}async chownPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.chownPromise(r,o,a),async(n,{subPath:u})=>await n.chownPromise(u,o,a))}chownSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.chownSync(r,o,a),(n,{subPath:u})=>n.chownSync(u,o,a))}async renamePromise(r,o){return await this.makeCallPromise(r,async()=>await this.makeCallPromise(o,async()=>await this.baseFs.renamePromise(r,o),async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),async(a,{subPath:n})=>await this.makeCallPromise(o,async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},async(u,{subPath:A})=>{if(a!==u)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return await a.renamePromise(n,A)}))}renameSync(r,o){return this.makeCallSync(r,()=>this.makeCallSync(o,()=>this.baseFs.renameSync(r,o),()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),(a,{subPath:n})=>this.makeCallSync(o,()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},(u,{subPath:A})=>{if(a!==u)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return a.renameSync(n,A)}))}async copyFilePromise(r,o,a=0){let n=async(u,A,p,h)=>{if((a&Hg.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${A}' -> ${h}'`),{code:"EXDEV"});if(a&Hg.constants.COPYFILE_EXCL&&await this.existsPromise(A))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${A}' -> '${h}'`),{code:"EEXIST"});let C;try{C=await u.readFilePromise(A)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${A}' -> '${h}'`),{code:"EINVAL"})}await p.writeFilePromise(h,C)};return await this.makeCallPromise(r,async()=>await this.makeCallPromise(o,async()=>await this.baseFs.copyFilePromise(r,o,a),async(u,{subPath:A})=>await n(this.baseFs,r,u,A)),async(u,{subPath:A})=>await this.makeCallPromise(o,async()=>await n(u,A,this.baseFs,o),async(p,{subPath:h})=>u!==p?await n(u,A,p,h):await u.copyFilePromise(A,h,a)))}copyFileSync(r,o,a=0){let n=(u,A,p,h)=>{if((a&Hg.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${A}' -> ${h}'`),{code:"EXDEV"});if(a&Hg.constants.COPYFILE_EXCL&&this.existsSync(A))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${A}' -> '${h}'`),{code:"EEXIST"});let C;try{C=u.readFileSync(A)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${A}' -> '${h}'`),{code:"EINVAL"})}p.writeFileSync(h,C)};return this.makeCallSync(r,()=>this.makeCallSync(o,()=>this.baseFs.copyFileSync(r,o,a),(u,{subPath:A})=>n(this.baseFs,r,u,A)),(u,{subPath:A})=>this.makeCallSync(o,()=>n(u,A,this.baseFs,o),(p,{subPath:h})=>u!==p?n(u,A,p,h):u.copyFileSync(A,h,a)))}async appendFilePromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.appendFilePromise(r,o,a),async(n,{subPath:u})=>await n.appendFilePromise(u,o,a))}appendFileSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.appendFileSync(r,o,a),(n,{subPath:u})=>n.appendFileSync(u,o,a))}async writeFilePromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.writeFilePromise(r,o,a),async(n,{subPath:u})=>await n.writeFilePromise(u,o,a))}writeFileSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.writeFileSync(r,o,a),(n,{subPath:u})=>n.writeFileSync(u,o,a))}async unlinkPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.unlinkPromise(r),async(o,{subPath:a})=>await o.unlinkPromise(a))}unlinkSync(r){return this.makeCallSync(r,()=>this.baseFs.unlinkSync(r),(o,{subPath:a})=>o.unlinkSync(a))}async utimesPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.utimesPromise(r,o,a),async(n,{subPath:u})=>await n.utimesPromise(u,o,a))}utimesSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.utimesSync(r,o,a),(n,{subPath:u})=>n.utimesSync(u,o,a))}async lutimesPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.lutimesPromise(r,o,a),async(n,{subPath:u})=>await n.lutimesPromise(u,o,a))}lutimesSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.lutimesSync(r,o,a),(n,{subPath:u})=>n.lutimesSync(u,o,a))}async mkdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.mkdirPromise(r,o),async(a,{subPath:n})=>await a.mkdirPromise(n,o))}mkdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.mkdirSync(r,o),(a,{subPath:n})=>a.mkdirSync(n,o))}async rmdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.rmdirPromise(r,o),async(a,{subPath:n})=>await a.rmdirPromise(n,o))}rmdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.rmdirSync(r,o),(a,{subPath:n})=>a.rmdirSync(n,o))}async linkPromise(r,o){return await this.makeCallPromise(o,async()=>await this.baseFs.linkPromise(r,o),async(a,{subPath:n})=>await a.linkPromise(r,n))}linkSync(r,o){return this.makeCallSync(o,()=>this.baseFs.linkSync(r,o),(a,{subPath:n})=>a.linkSync(r,n))}async symlinkPromise(r,o,a){return await this.makeCallPromise(o,async()=>await this.baseFs.symlinkPromise(r,o,a),async(n,{subPath:u})=>await n.symlinkPromise(r,u))}symlinkSync(r,o,a){return this.makeCallSync(o,()=>this.baseFs.symlinkSync(r,o,a),(n,{subPath:u})=>n.symlinkSync(r,u))}async readFilePromise(r,o){return this.makeCallPromise(r,async()=>await this.baseFs.readFilePromise(r,o),async(a,{subPath:n})=>await a.readFilePromise(n,o))}readFileSync(r,o){return this.makeCallSync(r,()=>this.baseFs.readFileSync(r,o),(a,{subPath:n})=>a.readFileSync(n,o))}async readdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.readdirPromise(r,o),async(a,{subPath:n})=>await a.readdirPromise(n,o),{requireSubpath:!1})}readdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.readdirSync(r,o),(a,{subPath:n})=>a.readdirSync(n,o),{requireSubpath:!1})}async readlinkPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.readlinkPromise(r),async(o,{subPath:a})=>await o.readlinkPromise(a))}readlinkSync(r){return this.makeCallSync(r,()=>this.baseFs.readlinkSync(r),(o,{subPath:a})=>o.readlinkSync(a))}async truncatePromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.truncatePromise(r,o),async(a,{subPath:n})=>await a.truncatePromise(n,o))}truncateSync(r,o){return this.makeCallSync(r,()=>this.baseFs.truncateSync(r,o),(a,{subPath:n})=>a.truncateSync(n,o))}async ftruncatePromise(r,o){if((r&wa)!==this.magic)return this.baseFs.ftruncatePromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("ftruncate");let[n,u]=a;return n.ftruncatePromise(u,o)}ftruncateSync(r,o){if((r&wa)!==this.magic)return this.baseFs.ftruncateSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("ftruncateSync");let[n,u]=a;return n.ftruncateSync(u,o)}watch(r,o,a){return this.makeCallSync(r,()=>this.baseFs.watch(r,o,a),(n,{subPath:u})=>n.watch(u,o,a))}watchFile(r,o,a){return this.makeCallSync(r,()=>this.baseFs.watchFile(r,o,a),()=>ty(this,r,o,a))}unwatchFile(r,o){return this.makeCallSync(r,()=>this.baseFs.unwatchFile(r,o),()=>Lg(this,r,o))}async makeCallPromise(r,o,a,{requireSubpath:n=!0}={}){if(typeof r!="string")return await o();let u=this.resolve(r),A=this.findMount(u);return A?n&&A.subPath==="/"?await o():await this.getMountPromise(A.archivePath,async p=>await a(p,A)):await o()}makeCallSync(r,o,a,{requireSubpath:n=!0}={}){if(typeof r!="string")return o();let 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K!==r?(ze.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(He)),re===r&&(re=null),re!==r?(pe=gg(),pe!==r?(Je=hp(),Je!==r?(Dt=N,K=b(re,pe,Je),N=K):(G=N,N=r)):(G=N,N=r)):(G=N,N=r)):(G=N,N=r),N}function gg(){var N;return t.substr(G,2)===w?(N=w,G+=2):(N=r,ct===0&&Ct(S)),N===r&&(t.substr(G,2)===y?(N=y,G+=2):(N=r,ct===0&&Ct(F)),N===r&&(t.charCodeAt(G)===62?(N=J,G++):(N=r,ct===0&&Ct(X)),N===r&&(t.substr(G,3)===Z?(N=Z,G+=3):(N=r,ct===0&&Ct(ie)),N===r&&(t.substr(G,2)===Pe?(N=Pe,G+=2):(N=r,ct===0&&Ct(Ne)),N===r&&(t.charCodeAt(G)===60?(N=ot,G++):(N=r,ct===0&&Ct(dt))))))),N}function hp(){var N,K,re;for(N=G,K=[],re=Qt();re!==r;)K.push(re),re=Qt();return K!==r?(re=qo(),re!==r?(Dt=N,K=Re(re),N=K):(G=N,N=r)):(G=N,N=r),N}function qo(){var N,K,re;if(N=G,K=[],re=ws(),re!==r)for(;re!==r;)K.push(re),re=ws();else K=r;return K!==r&&(Dt=N,K=jt(K)),N=K,N}function ws(){var N,K;return N=G,K=Ii(),K!==r&&(Dt=N,K=$t(K)),N=K,N===r&&(N=G,K=xm(),K!==r&&(Dt=N,K=$t(K)),N=K,N===r&&(N=G,K=km(),K!==r&&(Dt=N,K=$t(K)),N=K,N===r&&(N=G,K=Go(),K!==r&&(Dt=N,K=$t(K)),N=K))),N}function Ii(){var N,K,re,pe;return N=G,t.substr(G,2)===bt?(K=bt,G+=2):(K=r,ct===0&&Ct(an)),K!==r?(re=ln(),re!==r?(t.charCodeAt(G)===39?(pe=Qr,G++):(pe=r,ct===0&&Ct(mr)),pe!==r?(Dt=N,K=br(re),N=K):(G=N,N=r)):(G=N,N=r)):(G=N,N=r),N}function xm(){var N,K,re,pe;return N=G,t.charCodeAt(G)===39?(K=Qr,G++):(K=r,ct===0&&Ct(mr)),K!==r?(re=dp(),re!==r?(t.charCodeAt(G)===39?(pe=Qr,G++):(pe=r,ct===0&&Ct(mr)),pe!==r?(Dt=N,K=br(re),N=K):(G=N,N=r)):(G=N,N=r)):(G=N,N=r),N}function km(){var N,K,re,pe;if(N=G,t.substr(G,2)===Wr?(K=Wr,G+=2):(K=r,ct===0&&Ct(Kn)),K!==r&&(Dt=N,K=Ns()),N=K,N===r)if(N=G,t.charCodeAt(G)===34?(K=Ti,G++):(K=r,ct===0&&Ct(ps)),K!==r){for(re=[],pe=NA();pe!==r;)re.push(pe),pe=NA();re!==r?(t.charCodeAt(G)===34?(pe=Ti,G++):(pe=r,ct===0&&Ct(ps)),pe!==r?(Dt=N,K=io(re),N=K):(G=N,N=r)):(G=N,N=r)}else G=N,N=r;return N}function Go(){var N,K,re;if(N=G,K=[],re=gp(),re!==r)for(;re!==r;)K.push(re),re=gp();else K=r;return K!==r&&(Dt=N,K=io(K)),N=K,N}function NA(){var N,K;return N=G,K=Gr(),K!==r&&(Dt=N,K=Si(K)),N=K,N===r&&(N=G,K=mp(),K!==r&&(Dt=N,K=Ls(K)),N=K,N===r&&(N=G,K=Dc(),K!==r&&(Dt=N,K=so(K)),N=K,N===r&&(N=G,K=dg(),K!==r&&(Dt=N,K=cc(K)),N=K))),N}function gp(){var N,K;return N=G,K=Gr(),K!==r&&(Dt=N,K=cu(K)),N=K,N===r&&(N=G,K=mp(),K!==r&&(Dt=N,K=op(K)),N=K,N===r&&(N=G,K=Dc(),K!==r&&(Dt=N,K=ap(K)),N=K,N===r&&(N=G,K=yw(),K!==r&&(Dt=N,K=Os(K)),N=K,N===r&&(N=G,K=pa(),K!==r&&(Dt=N,K=cc(K)),N=K)))),N}function dp(){var N,K,re;for(N=G,K=[],Dn.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(oo));re!==r;)K.push(re),Dn.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(oo));return K!==r&&(Dt=N,K=Ms(K)),N=K,N}function dg(){var N,K,re;if(N=G,K=[],re=fa(),re===r&&(ml.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(yl))),re!==r)for(;re!==r;)K.push(re),re=fa(),re===r&&(ml.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(yl)));else K=r;return K!==r&&(Dt=N,K=Ms(K)),N=K,N}function fa(){var N,K,re;return N=G,t.substr(G,2)===ao?(K=ao,G+=2):(K=r,ct===0&&Ct(Vn)),K!==r&&(Dt=N,K=On()),N=K,N===r&&(N=G,t.charCodeAt(G)===92?(K=Ni,G++):(K=r,ct===0&&Ct(Mn)),K!==r?(_i.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(tr)),re!==r?(Dt=N,K=Oe(re),N=K):(G=N,N=r)):(G=N,N=r)),N}function ln(){var N,K,re;for(N=G,K=[],re=Ao(),re===r&&(Dn.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(oo)));re!==r;)K.push(re),re=Ao(),re===r&&(Dn.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(oo)));return K!==r&&(Dt=N,K=Ms(K)),N=K,N}function Ao(){var N,K,re;return N=G,t.substr(G,2)===ii?(K=ii,G+=2):(K=r,ct===0&&Ct(Ma)),K!==r&&(Dt=N,K=hr()),N=K,N===r&&(N=G,t.substr(G,2)===uc?(K=uc,G+=2):(K=r,ct===0&&Ct(uu)),K!==r&&(Dt=N,K=Ac()),N=K,N===r&&(N=G,t.charCodeAt(G)===92?(K=Ni,G++):(K=r,ct===0&&Ct(Mn)),K!==r?(El.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(vA)),re!==r?(Dt=N,K=Au(),N=K):(G=N,N=r)):(G=N,N=r),N===r&&(N=G,t.substr(G,2)===Ce?(K=Ce,G+=2):(K=r,ct===0&&Ct(Rt)),K!==r&&(Dt=N,K=fc()),N=K,N===r&&(N=G,t.substr(G,2)===Hi?(K=Hi,G+=2):(K=r,ct===0&&Ct(fu)),K!==r&&(Dt=N,K=Yt()),N=K,N===r&&(N=G,t.substr(G,2)===Cl?(K=Cl,G+=2):(K=r,ct===0&&Ct(DA)),K!==r&&(Dt=N,K=lp()),N=K,N===r&&(N=G,t.substr(G,2)===pc?(K=pc,G+=2):(K=r,ct===0&&Ct(PA)),K!==r&&(Dt=N,K=Qn()),N=K,N===r&&(N=G,t.substr(G,2)===hi?(K=hi,G+=2):(K=r,ct===0&&Ct(hc)),K!==r&&(Dt=N,K=SA()),N=K,N===r&&(N=G,t.charCodeAt(G)===92?(K=Ni,G++):(K=r,ct===0&&Ct(Mn)),K!==r?(sa.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(Li)),re!==r?(Dt=N,K=Oe(re),N=K):(G=N,N=r)):(G=N,N=r),N===r&&(N=LA()))))))))),N}function LA(){var N,K,re,pe,Je,mt,fr,Cr,yn,oi,Oi,Cg;return N=G,t.charCodeAt(G)===92?(K=Ni,G++):(K=r,ct===0&&Ct(Mn)),K!==r?(re=qa(),re!==r?(Dt=N,K=_o(re),N=K):(G=N,N=r)):(G=N,N=r),N===r&&(N=G,t.substr(G,2)===Ze?(K=Ze,G+=2):(K=r,ct===0&&Ct(lo)),K!==r?(re=G,pe=G,Je=qa(),Je!==r?(mt=si(),mt!==r?(Je=[Je,mt],pe=Je):(G=pe,pe=r)):(G=pe,pe=r),pe===r&&(pe=qa()),pe!==r?re=t.substring(re,G):re=pe,re!==r?(Dt=N,K=_o(re),N=K):(G=N,N=r)):(G=N,N=r),N===r&&(N=G,t.substr(G,2)===gc?(K=gc,G+=2):(K=r,ct===0&&Ct(pu)),K!==r?(re=G,pe=G,Je=si(),Je!==r?(mt=si(),mt!==r?(fr=si(),fr!==r?(Cr=si(),Cr!==r?(Je=[Je,mt,fr,Cr],pe=Je):(G=pe,pe=r)):(G=pe,pe=r)):(G=pe,pe=r)):(G=pe,pe=r),pe!==r?re=t.substring(re,G):re=pe,re!==r?(Dt=N,K=_o(re),N=K):(G=N,N=r)):(G=N,N=r),N===r&&(N=G,t.substr(G,2)===ji?(K=ji,G+=2):(K=r,ct===0&&Ct(hu)),K!==r?(re=G,pe=G,Je=si(),Je!==r?(mt=si(),mt!==r?(fr=si(),fr!==r?(Cr=si(),Cr!==r?(yn=si(),yn!==r?(oi=si(),oi!==r?(Oi=si(),Oi!==r?(Cg=si(),Cg!==r?(Je=[Je,mt,fr,Cr,yn,oi,Oi,Cg],pe=Je):(G=pe,pe=r)):(G=pe,pe=r)):(G=pe,pe=r)):(G=pe,pe=r)):(G=pe,pe=r)):(G=pe,pe=r)):(G=pe,pe=r)):(G=pe,pe=r),pe!==r?re=t.substring(re,G):re=pe,re!==r?(Dt=N,K=bA(re),N=K):(G=N,N=r)):(G=N,N=r)))),N}function qa(){var N;return Ua.test(t.charAt(G))?(N=t.charAt(G),G++):(N=r,ct===0&&Ct(dc)),N}function si(){var N;return hs.test(t.charAt(G))?(N=t.charAt(G),G++):(N=r,ct===0&&Ct(_t)),N}function pa(){var N,K,re,pe,Je;if(N=G,K=[],re=G,t.charCodeAt(G)===92?(pe=Ni,G++):(pe=r,ct===0&&Ct(Mn)),pe!==r?(t.length>G?(Je=t.charAt(G),G++):(Je=r,ct===0&&Ct(Fn)),Je!==r?(Dt=re,pe=Oe(Je),re=pe):(G=re,re=r)):(G=re,re=r),re===r&&(re=G,t.substr(G,2)===Ci?(pe=Ci,G+=2):(pe=r,ct===0&&Ct(oa)),pe!==r&&(Dt=re,pe=co()),re=pe,re===r&&(re=G,pe=G,ct++,Je=Qm(),ct--,Je===r?pe=void 0:(G=pe,pe=r),pe!==r?(t.length>G?(Je=t.charAt(G),G++):(Je=r,ct===0&&Ct(Fn)),Je!==r?(Dt=re,pe=Oe(Je),re=pe):(G=re,re=r)):(G=re,re=r))),re!==r)for(;re!==r;)K.push(re),re=G,t.charCodeAt(G)===92?(pe=Ni,G++):(pe=r,ct===0&&Ct(Mn)),pe!==r?(t.length>G?(Je=t.charAt(G),G++):(Je=r,ct===0&&Ct(Fn)),Je!==r?(Dt=re,pe=Oe(Je),re=pe):(G=re,re=r)):(G=re,re=r),re===r&&(re=G,t.substr(G,2)===Ci?(pe=Ci,G+=2):(pe=r,ct===0&&Ct(oa)),pe!==r&&(Dt=re,pe=co()),re=pe,re===r&&(re=G,pe=G,ct++,Je=Qm(),ct--,Je===r?pe=void 0:(G=pe,pe=r),pe!==r?(t.length>G?(Je=t.charAt(G),G++):(Je=r,ct===0&&Ct(Fn)),Je!==r?(Dt=re,pe=Oe(Je),re=pe):(G=re,re=r)):(G=re,re=r)));else K=r;return K!==r&&(Dt=N,K=Ms(K)),N=K,N}function vc(){var N,K,re,pe,Je,mt;if(N=G,t.charCodeAt(G)===45?(K=Us,G++):(K=r,ct===0&&Ct(aa)),K===r&&(t.charCodeAt(G)===43?(K=la,G++):(K=r,ct===0&&Ct(Ho))),K===r&&(K=null),K!==r){if(re=[],ze.test(t.charAt(G))?(pe=t.charAt(G),G++):(pe=r,ct===0&&Ct(He)),pe!==r)for(;pe!==r;)re.push(pe),ze.test(t.charAt(G))?(pe=t.charAt(G),G++):(pe=r,ct===0&&Ct(He));else re=r;if(re!==r)if(t.charCodeAt(G)===46?(pe=wi,G++):(pe=r,ct===0&&Ct(gs)),pe!==r){if(Je=[],ze.test(t.charAt(G))?(mt=t.charAt(G),G++):(mt=r,ct===0&&Ct(He)),mt!==r)for(;mt!==r;)Je.push(mt),ze.test(t.charAt(G))?(mt=t.charAt(G),G++):(mt=r,ct===0&&Ct(He));else Je=r;Je!==r?(Dt=N,K=ds(K,re,Je),N=K):(G=N,N=r)}else G=N,N=r;else G=N,N=r}else G=N,N=r;if(N===r){if(N=G,t.charCodeAt(G)===45?(K=Us,G++):(K=r,ct===0&&Ct(aa)),K===r&&(t.charCodeAt(G)===43?(K=la,G++):(K=r,ct===0&&Ct(Ho))),K===r&&(K=null),K!==r){if(re=[],ze.test(t.charAt(G))?(pe=t.charAt(G),G++):(pe=r,ct===0&&Ct(He)),pe!==r)for(;pe!==r;)re.push(pe),ze.test(t.charAt(G))?(pe=t.charAt(G),G++):(pe=r,ct===0&&Ct(He));else re=r;re!==r?(Dt=N,K=ms(K,re),N=K):(G=N,N=r)}else G=N,N=r;if(N===r&&(N=G,K=Dc(),K!==r&&(Dt=N,K=_s(K)),N=K,N===r&&(N=G,K=Ga(),K!==r&&(Dt=N,K=Un(K)),N=K,N===r)))if(N=G,t.charCodeAt(G)===40?(K=De,G++):(K=r,ct===0&&Ct(ce)),K!==r){for(re=[],pe=Qt();pe!==r;)re.push(pe),pe=Qt();if(re!==r)if(pe=ts(),pe!==r){for(Je=[],mt=Qt();mt!==r;)Je.push(mt),mt=Qt();Je!==r?(t.charCodeAt(G)===41?(mt=ne,G++):(mt=r,ct===0&&Ct(ee)),mt!==r?(Dt=N,K=Pn(pe),N=K):(G=N,N=r)):(G=N,N=r)}else G=N,N=r;else G=N,N=r}else G=N,N=r}return N}function Bl(){var N,K,re,pe,Je,mt,fr,Cr;if(N=G,K=vc(),K!==r){for(re=[],pe=G,Je=[],mt=Qt();mt!==r;)Je.push(mt),mt=Qt();if(Je!==r)if(t.charCodeAt(G)===42?(mt=ys,G++):(mt=r,ct===0&&Ct(We)),mt===r&&(t.charCodeAt(G)===47?(mt=tt,G++):(mt=r,ct===0&&Ct(It))),mt!==r){for(fr=[],Cr=Qt();Cr!==r;)fr.push(Cr),Cr=Qt();fr!==r?(Cr=vc(),Cr!==r?(Dt=pe,Je=nr(K,mt,Cr),pe=Je):(G=pe,pe=r)):(G=pe,pe=r)}else G=pe,pe=r;else G=pe,pe=r;for(;pe!==r;){for(re.push(pe),pe=G,Je=[],mt=Qt();mt!==r;)Je.push(mt),mt=Qt();if(Je!==r)if(t.charCodeAt(G)===42?(mt=ys,G++):(mt=r,ct===0&&Ct(We)),mt===r&&(t.charCodeAt(G)===47?(mt=tt,G++):(mt=r,ct===0&&Ct(It))),mt!==r){for(fr=[],Cr=Qt();Cr!==r;)fr.push(Cr),Cr=Qt();fr!==r?(Cr=vc(),Cr!==r?(Dt=pe,Je=nr(K,mt,Cr),pe=Je):(G=pe,pe=r)):(G=pe,pe=r)}else G=pe,pe=r;else G=pe,pe=r}re!==r?(Dt=N,K=$(K,re),N=K):(G=N,N=r)}else G=N,N=r;return N}function ts(){var 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0},Ai.default.object(r)?(t.retry={...t.retry,...r},t.retry.methods=[...new Set(t.retry.methods.map(o=>o.toUpperCase()))],t.retry.statusCodes=[...new Set(t.retry.statusCodes)],t.retry.errorCodes=[...new Set(t.retry.errorCodes)]):Ai.default.number(r)&&(t.retry.limit=r),Ai.default.undefined(t.retry.maxRetryAfter)&&(t.retry.maxRetryAfter=Math.min(...[t.timeout.request,t.timeout.connect].filter(Ai.default.number))),Ai.default.object(t.pagination)){e&&(t.pagination={...e.pagination,...t.pagination});let{pagination:o}=t;if(!Ai.default.function_(o.transform))throw new Error("`options.pagination.transform` must be implemented");if(!Ai.default.function_(o.shouldContinue))throw new Error("`options.pagination.shouldContinue` must be implemented");if(!Ai.default.function_(o.filter))throw new TypeError("`options.pagination.filter` must be implemented");if(!Ai.default.function_(o.paginate))throw new Error("`options.pagination.paginate` must be implemented")}return t.responseType==="json"&&t.headers.accept===void 0&&(t.headers.accept="application/json"),t};I4.default=Git});var Oae=_(g1=>{"use strict";Object.defineProperty(g1,"__esModule",{value:!0});g1.retryAfterStatusCodes=void 0;g1.retryAfterStatusCodes=new Set([413,429,503]);var Yit=({attemptCount:t,retryOptions:e,error:r,retryAfter:o})=>{if(t>e.limit)return 0;let a=e.methods.includes(r.options.method),n=e.errorCodes.includes(r.code),u=r.response&&e.statusCodes.includes(r.response.statusCode);if(!a||!n&&!u)return 0;if(r.response){if(o)return e.maxRetryAfter===void 0||o>e.maxRetryAfter?0:o;if(r.response.statusCode===413)return 0}let A=Math.random()*100;return 2**(t-1)*1e3+A};g1.default=Yit});var y1=_(Bn=>{"use strict";Object.defineProperty(Bn,"__esModule",{value:!0});Bn.UnsupportedProtocolError=Bn.ReadError=Bn.TimeoutError=Bn.UploadError=Bn.CacheError=Bn.HTTPError=Bn.MaxRedirectsError=Bn.RequestError=Bn.setNonEnumerableProperties=Bn.knownHookEvents=Bn.withoutBody=Bn.kIsNormalizedAlready=void 0;var Mae=Be("util"),Uae=Be("stream"),Wit=Be("fs"),oh=Be("url"),_ae=Be("http"),B4=Be("http"),Kit=Be("https"),Vit=toe(),zit=loe(),Hae=_oe(),Jit=Goe(),Xit=Eae(),Zit=tb(),st=Ff(),$it=vae(),jae=c4(),est=f4(),qae=Sae(),tst=xae(),Gae=kae(),rst=Qae(),nst=E4(),Yae=Rae(),ist=C4(),ah=Nae(),sst=Lae(),ost=Oae(),v4,Zs=Symbol("request"),ub=Symbol("response"),DE=Symbol("responseSize"),PE=Symbol("downloadedSize"),SE=Symbol("bodySize"),bE=Symbol("uploadedSize"),ab=Symbol("serverResponsesPiped"),Wae=Symbol("unproxyEvents"),Kae=Symbol("isFromCache"),D4=Symbol("cancelTimeouts"),Vae=Symbol("startedReading"),xE=Symbol("stopReading"),lb=Symbol("triggerRead"),lh=Symbol("body"),d1=Symbol("jobs"),zae=Symbol("originalResponse"),Jae=Symbol("retryTimeout");Bn.kIsNormalizedAlready=Symbol("isNormalizedAlready");var ast=st.default.string(process.versions.brotli);Bn.withoutBody=new Set(["GET","HEAD"]);Bn.knownHookEvents=["init","beforeRequest","beforeRedirect","beforeError","beforeRetry","afterResponse"];function lst(t){for(let e in t){let r=t[e];if(!st.default.string(r)&&!st.default.number(r)&&!st.default.boolean(r)&&!st.default.null_(r)&&!st.default.undefined(r))throw new TypeError(`The \`searchParams\` value '${String(r)}' must be a string, number, boolean or null`)}}function cst(t){return st.default.object(t)&&!("statusCode"in t)}var P4=new rst.default,ust=async t=>new Promise((e,r)=>{let o=a=>{r(a)};t.pending||e(),t.once("error",o),t.once("ready",()=>{t.off("error",o),e()})}),Ast=new Set([300,301,302,303,304,307,308]),fst=["context","body","json","form"];Bn.setNonEnumerableProperties=(t,e)=>{let r={};for(let o of t)if(!!o)for(let a of fst)a in o&&(r[a]={writable:!0,configurable:!0,enumerable:!1,value:o[a]});Object.defineProperties(e,r)};var Vi=class extends Error{constructor(e,r,o){var a;if(super(e),Error.captureStackTrace(this,this.constructor),this.name="RequestError",this.code=r.code,o instanceof mb?(Object.defineProperty(this,"request",{enumerable:!1,value:o}),Object.defineProperty(this,"response",{enumerable:!1,value:o[ub]}),Object.defineProperty(this,"options",{enumerable:!1,value:o.options})):Object.defineProperty(this,"options",{enumerable:!1,value:o}),this.timings=(a=this.request)===null||a===void 0?void 0:a.timings,st.default.string(r.stack)&&st.default.string(this.stack)){let n=this.stack.indexOf(this.message)+this.message.length,u=this.stack.slice(n).split(` -`).reverse(),A=r.stack.slice(r.stack.indexOf(r.message)+r.message.length).split(` -`).reverse();for(;A.length!==0&&A[0]===u[0];)u.shift();this.stack=`${this.stack.slice(0,n)}${u.reverse().join(` -`)}${A.reverse().join(` -`)}`}}};Bn.RequestError=Vi;var Ab=class extends Vi{constructor(e){super(`Redirected ${e.options.maxRedirects} times. Aborting.`,{},e),this.name="MaxRedirectsError"}};Bn.MaxRedirectsError=Ab;var fb=class extends Vi{constructor(e){super(`Response code ${e.statusCode} (${e.statusMessage})`,{},e.request),this.name="HTTPError"}};Bn.HTTPError=fb;var pb=class extends Vi{constructor(e,r){super(e.message,e,r),this.name="CacheError"}};Bn.CacheError=pb;var hb=class extends Vi{constructor(e,r){super(e.message,e,r),this.name="UploadError"}};Bn.UploadError=hb;var gb=class extends Vi{constructor(e,r,o){super(e.message,e,o),this.name="TimeoutError",this.event=e.event,this.timings=r}};Bn.TimeoutError=gb;var m1=class extends Vi{constructor(e,r){super(e.message,e,r),this.name="ReadError"}};Bn.ReadError=m1;var db=class extends Vi{constructor(e){super(`Unsupported protocol "${e.url.protocol}"`,{},e),this.name="UnsupportedProtocolError"}};Bn.UnsupportedProtocolError=db;var pst=["socket","connect","continue","information","upgrade","timeout"],mb=class extends Uae.Duplex{constructor(e,r={},o){super({autoDestroy:!1,highWaterMark:0}),this[PE]=0,this[bE]=0,this.requestInitialized=!1,this[ab]=new Set,this.redirects=[],this[xE]=!1,this[lb]=!1,this[d1]=[],this.retryCount=0,this._progressCallbacks=[];let a=()=>this._unlockWrite(),n=()=>this._lockWrite();this.on("pipe",h=>{h.prependListener("data",a),h.on("data",n),h.prependListener("end",a),h.on("end",n)}),this.on("unpipe",h=>{h.off("data",a),h.off("data",n),h.off("end",a),h.off("end",n)}),this.on("pipe",h=>{h instanceof B4.IncomingMessage&&(this.options.headers={...h.headers,...this.options.headers})});let{json:u,body:A,form:p}=r;if((u||A||p)&&this._lockWrite(),Bn.kIsNormalizedAlready in r)this.options=r;else try{this.options=this.constructor.normalizeArguments(e,r,o)}catch(h){st.default.nodeStream(r.body)&&r.body.destroy(),this.destroy(h);return}(async()=>{var h;try{this.options.body instanceof Wit.ReadStream&&await ust(this.options.body);let{url:C}=this.options;if(!C)throw new TypeError("Missing `url` property");if(this.requestUrl=C.toString(),decodeURI(this.requestUrl),await this._finalizeBody(),await this._makeRequest(),this.destroyed){(h=this[Zs])===null||h===void 0||h.destroy();return}for(let I of this[d1])I();this[d1].length=0,this.requestInitialized=!0}catch(C){if(C instanceof Vi){this._beforeError(C);return}this.destroyed||this.destroy(C)}})()}static normalizeArguments(e,r,o){var a,n,u,A,p;let h=r;if(st.default.object(e)&&!st.default.urlInstance(e))r={...o,...e,...r};else{if(e&&r&&r.url!==void 0)throw new TypeError("The `url` option is mutually exclusive with the `input` argument");r={...o,...r},e!==void 0&&(r.url=e),st.default.urlInstance(r.url)&&(r.url=new oh.URL(r.url.toString()))}if(r.cache===!1&&(r.cache=void 0),r.dnsCache===!1&&(r.dnsCache=void 0),st.assert.any([st.default.string,st.default.undefined],r.method),st.assert.any([st.default.object,st.default.undefined],r.headers),st.assert.any([st.default.string,st.default.urlInstance,st.default.undefined],r.prefixUrl),st.assert.any([st.default.object,st.default.undefined],r.cookieJar),st.assert.any([st.default.object,st.default.string,st.default.undefined],r.searchParams),st.assert.any([st.default.object,st.default.string,st.default.undefined],r.cache),st.assert.any([st.default.object,st.default.number,st.default.undefined],r.timeout),st.assert.any([st.default.object,st.default.undefined],r.context),st.assert.any([st.default.object,st.default.undefined],r.hooks),st.assert.any([st.default.boolean,st.default.undefined],r.decompress),st.assert.any([st.default.boolean,st.default.undefined],r.ignoreInvalidCookies),st.assert.any([st.default.boolean,st.default.undefined],r.followRedirect),st.assert.any([st.default.number,st.default.undefined],r.maxRedirects),st.assert.any([st.default.boolean,st.default.undefined],r.throwHttpErrors),st.assert.any([st.default.boolean,st.default.undefined],r.http2),st.assert.any([st.default.boolean,st.default.undefined],r.allowGetBody),st.assert.any([st.default.string,st.default.undefined],r.localAddress),st.assert.any([Yae.isDnsLookupIpVersion,st.default.undefined],r.dnsLookupIpVersion),st.assert.any([st.default.object,st.default.undefined],r.https),st.assert.any([st.default.boolean,st.default.undefined],r.rejectUnauthorized),r.https&&(st.assert.any([st.default.boolean,st.default.undefined],r.https.rejectUnauthorized),st.assert.any([st.default.function_,st.default.undefined],r.https.checkServerIdentity),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.certificateAuthority),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.key),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.certificate),st.assert.any([st.default.string,st.default.undefined],r.https.passphrase),st.assert.any([st.default.string,st.default.buffer,st.default.array,st.default.undefined],r.https.pfx)),st.assert.any([st.default.object,st.default.undefined],r.cacheOptions),st.default.string(r.method)?r.method=r.method.toUpperCase():r.method="GET",r.headers===o?.headers?r.headers={...r.headers}:r.headers=Zit({...o?.headers,...r.headers}),"slashes"in r)throw new TypeError("The legacy `url.Url` has been deprecated. Use `URL` instead.");if("auth"in r)throw new TypeError("Parameter `auth` is deprecated. Use `username` / `password` instead.");if("searchParams"in r&&r.searchParams&&r.searchParams!==o?.searchParams){let x;if(st.default.string(r.searchParams)||r.searchParams instanceof oh.URLSearchParams)x=new oh.URLSearchParams(r.searchParams);else{lst(r.searchParams),x=new oh.URLSearchParams;for(let E in r.searchParams){let R=r.searchParams[E];R===null?x.append(E,""):R!==void 0&&x.append(E,R)}}(a=o?.searchParams)===null||a===void 0||a.forEach((E,R)=>{x.has(R)||x.append(R,E)}),r.searchParams=x}if(r.username=(n=r.username)!==null&&n!==void 0?n:"",r.password=(u=r.password)!==null&&u!==void 0?u:"",st.default.undefined(r.prefixUrl)?r.prefixUrl=(A=o?.prefixUrl)!==null&&A!==void 0?A:"":(r.prefixUrl=r.prefixUrl.toString(),r.prefixUrl!==""&&!r.prefixUrl.endsWith("/")&&(r.prefixUrl+="/")),st.default.string(r.url)){if(r.url.startsWith("/"))throw new Error("`input` must not start with a slash when using `prefixUrl`");r.url=Gae.default(r.prefixUrl+r.url,r)}else(st.default.undefined(r.url)&&r.prefixUrl!==""||r.protocol)&&(r.url=Gae.default(r.prefixUrl,r));if(r.url){"port"in r&&delete r.port;let{prefixUrl:x}=r;Object.defineProperty(r,"prefixUrl",{set:R=>{let L=r.url;if(!L.href.startsWith(R))throw new Error(`Cannot change \`prefixUrl\` from ${x} to ${R}: ${L.href}`);r.url=new oh.URL(R+L.href.slice(x.length)),x=R},get:()=>x});let{protocol:E}=r.url;if(E==="unix:"&&(E="http:",r.url=new oh.URL(`http://unix${r.url.pathname}${r.url.search}`)),r.searchParams&&(r.url.search=r.searchParams.toString()),E!=="http:"&&E!=="https:")throw new db(r);r.username===""?r.username=r.url.username:r.url.username=r.username,r.password===""?r.password=r.url.password:r.url.password=r.password}let{cookieJar:C}=r;if(C){let{setCookie:x,getCookieString:E}=C;st.assert.function_(x),st.assert.function_(E),x.length===4&&E.length===0&&(x=Mae.promisify(x.bind(r.cookieJar)),E=Mae.promisify(E.bind(r.cookieJar)),r.cookieJar={setCookie:x,getCookieString:E})}let{cache:I}=r;if(I&&(P4.has(I)||P4.set(I,new Hae((x,E)=>{let R=x[Zs](x,E);return st.default.promise(R)&&(R.once=(L,U)=>{if(L==="error")R.catch(U);else if(L==="abort")(async()=>{try{(await R).once("abort",U)}catch{}})();else throw new Error(`Unknown HTTP2 promise event: ${L}`);return R}),R},I))),r.cacheOptions={...r.cacheOptions},r.dnsCache===!0)v4||(v4=new zit.default),r.dnsCache=v4;else if(!st.default.undefined(r.dnsCache)&&!r.dnsCache.lookup)throw new TypeError(`Parameter \`dnsCache\` must be a CacheableLookup instance or a boolean, got ${st.default(r.dnsCache)}`);st.default.number(r.timeout)?r.timeout={request:r.timeout}:o&&r.timeout!==o.timeout?r.timeout={...o.timeout,...r.timeout}:r.timeout={...r.timeout},r.context||(r.context={});let v=r.hooks===o?.hooks;r.hooks={...r.hooks};for(let x of Bn.knownHookEvents)if(x in r.hooks)if(st.default.array(r.hooks[x]))r.hooks[x]=[...r.hooks[x]];else throw new TypeError(`Parameter \`${x}\` must be an Array, got ${st.default(r.hooks[x])}`);else r.hooks[x]=[];if(o&&!v)for(let x of Bn.knownHookEvents)o.hooks[x].length>0&&(r.hooks[x]=[...o.hooks[x],...r.hooks[x]]);if("family"in r&&ah.default('"options.family" was never documented, please use "options.dnsLookupIpVersion"'),o?.https&&(r.https={...o.https,...r.https}),"rejectUnauthorized"in r&&ah.default('"options.rejectUnauthorized" is now deprecated, please use "options.https.rejectUnauthorized"'),"checkServerIdentity"in r&&ah.default('"options.checkServerIdentity" was never documented, please use "options.https.checkServerIdentity"'),"ca"in r&&ah.default('"options.ca" was never documented, please use "options.https.certificateAuthority"'),"key"in r&&ah.default('"options.key" was never documented, please use "options.https.key"'),"cert"in r&&ah.default('"options.cert" was never documented, please use "options.https.certificate"'),"passphrase"in r&&ah.default('"options.passphrase" was never documented, please use "options.https.passphrase"'),"pfx"in r&&ah.default('"options.pfx" was never documented, please use "options.https.pfx"'),"followRedirects"in r)throw new TypeError("The `followRedirects` option does not exist. Use `followRedirect` instead.");if(r.agent){for(let x in r.agent)if(x!=="http"&&x!=="https"&&x!=="http2")throw new TypeError(`Expected the \`options.agent\` properties to be \`http\`, \`https\` or \`http2\`, got \`${x}\``)}return r.maxRedirects=(p=r.maxRedirects)!==null&&p!==void 0?p:0,Bn.setNonEnumerableProperties([o,h],r),sst.default(r,o)}_lockWrite(){let e=()=>{throw new TypeError("The payload has been already provided")};this.write=e,this.end=e}_unlockWrite(){this.write=super.write,this.end=super.end}async _finalizeBody(){let{options:e}=this,{headers:r}=e,o=!st.default.undefined(e.form),a=!st.default.undefined(e.json),n=!st.default.undefined(e.body),u=o||a||n,A=Bn.withoutBody.has(e.method)&&!(e.method==="GET"&&e.allowGetBody);if(this._cannotHaveBody=A,u){if(A)throw new TypeError(`The \`${e.method}\` method cannot be used with a body`);if([n,o,a].filter(p=>p).length>1)throw new TypeError("The `body`, `json` and `form` options are mutually exclusive");if(n&&!(e.body instanceof Uae.Readable)&&!st.default.string(e.body)&&!st.default.buffer(e.body)&&!jae.default(e.body))throw new TypeError("The `body` option must be a stream.Readable, string or Buffer");if(o&&!st.default.object(e.form))throw new TypeError("The `form` option must be an Object");{let p=!st.default.string(r["content-type"]);n?(jae.default(e.body)&&p&&(r["content-type"]=`multipart/form-data; boundary=${e.body.getBoundary()}`),this[lh]=e.body):o?(p&&(r["content-type"]="application/x-www-form-urlencoded"),this[lh]=new oh.URLSearchParams(e.form).toString()):(p&&(r["content-type"]="application/json"),this[lh]=e.stringifyJson(e.json));let h=await $it.default(this[lh],e.headers);st.default.undefined(r["content-length"])&&st.default.undefined(r["transfer-encoding"])&&!A&&!st.default.undefined(h)&&(r["content-length"]=String(h))}}else A?this._lockWrite():this._unlockWrite();this[SE]=Number(r["content-length"])||void 0}async _onResponseBase(e){let{options:r}=this,{url:o}=r;this[zae]=e,r.decompress&&(e=Jit(e));let a=e.statusCode,n=e;n.statusMessage=n.statusMessage?n.statusMessage:_ae.STATUS_CODES[a],n.url=r.url.toString(),n.requestUrl=this.requestUrl,n.redirectUrls=this.redirects,n.request=this,n.isFromCache=e.fromCache||!1,n.ip=this.ip,n.retryCount=this.retryCount,this[Kae]=n.isFromCache,this[DE]=Number(e.headers["content-length"])||void 0,this[ub]=e,e.once("end",()=>{this[DE]=this[PE],this.emit("downloadProgress",this.downloadProgress)}),e.once("error",A=>{e.destroy(),this._beforeError(new m1(A,this))}),e.once("aborted",()=>{this._beforeError(new m1({name:"Error",message:"The server aborted pending request",code:"ECONNRESET"},this))}),this.emit("downloadProgress",this.downloadProgress);let u=e.headers["set-cookie"];if(st.default.object(r.cookieJar)&&u){let A=u.map(async p=>r.cookieJar.setCookie(p,o.toString()));r.ignoreInvalidCookies&&(A=A.map(async p=>p.catch(()=>{})));try{await 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t.HEAPU8},errors:Lle,SEEK_SET:0,SEEK_CUR:1,SEEK_END:2,ZIP_CHECKCONS:4,ZIP_EXCL:2,ZIP_RDONLY:16,ZIP_FL_OVERWRITE:8192,ZIP_FL_COMPRESSED:4,ZIP_OPSYS_DOS:0,ZIP_OPSYS_AMIGA:1,ZIP_OPSYS_OPENVMS:2,ZIP_OPSYS_UNIX:3,ZIP_OPSYS_VM_CMS:4,ZIP_OPSYS_ATARI_ST:5,ZIP_OPSYS_OS_2:6,ZIP_OPSYS_MACINTOSH:7,ZIP_OPSYS_Z_SYSTEM:8,ZIP_OPSYS_CPM:9,ZIP_OPSYS_WINDOWS_NTFS:10,ZIP_OPSYS_MVS:11,ZIP_OPSYS_VSE:12,ZIP_OPSYS_ACORN_RISC:13,ZIP_OPSYS_VFAT:14,ZIP_OPSYS_ALTERNATE_MVS:15,ZIP_OPSYS_BEOS:16,ZIP_OPSYS_TANDEM:17,ZIP_OPSYS_OS_400:18,ZIP_OPSYS_OS_X:19,ZIP_CM_DEFAULT:-1,ZIP_CM_STORE:0,ZIP_CM_DEFLATE:8,uint08S:t._malloc(1),uint32S:t._malloc(4),malloc:t._malloc,free:t._free,getValue:t.getValue,openFromSource:t.cwrap("zip_open_from_source","number",["number","number","number"]),close:t.cwrap("zip_close","number",["number"]),discard:t.cwrap("zip_discard",null,["number"]),getError:t.cwrap("zip_get_error","number",["number"]),getName:t.cwrap("zip_get_name","string",["number","number","number"]),getNumEntries:t.cwrap("zip_get_num_entries","number",["number","number"]),delete:t.cwrap("zip_delete","number",["number","number"]),statIndex:t.cwrap("zip_stat_index","number",["number",...Nf,"number","number"]),fopenIndex:t.cwrap("zip_fopen_index","number",["number",...Nf,"number"]),fread:t.cwrap("zip_fread","number",["number","number","number","number"]),fclose:t.cwrap("zip_fclose","number",["number"]),dir:{add:t.cwrap("zip_dir_add","number",["number","string"])},file:{add:t.cwrap("zip_file_add","number",["number","string","number","number"]),getError:t.cwrap("zip_file_get_error","number",["number"]),getExternalAttributes:t.cwrap("zip_file_get_external_attributes","number",["number",...Nf,"number","number","number"]),setExternalAttributes:t.cwrap("zip_file_set_external_attributes","number",["number",...Nf,"number","number","number"]),setMtime:t.cwrap("zip_file_set_mtime","number",["number",...Nf,"number","number"]),setCompression:t.cwrap("zip_set_file_compression","number",["number",...Nf,"number","number"])},ext:{countSymlinks:t.cwrap("zip_ext_count_symlinks","number",["number"])},error:{initWithCode:t.cwrap("zip_error_init_with_code",null,["number","number"]),strerror:t.cwrap("zip_error_strerror","string",["number"])},name:{locate:t.cwrap("zip_name_locate","number",["number","string","number"])},source:{fromUnattachedBuffer:t.cwrap("zip_source_buffer_create","number",["number",...Nf,"number","number"]),fromBuffer:t.cwrap("zip_source_buffer","number",["number","number",...Nf,"number"]),free:t.cwrap("zip_source_free",null,["number"]),keep:t.cwrap("zip_source_keep",null,["number"]),open:t.cwrap("zip_source_open","number",["number"]),close:t.cwrap("zip_source_close","number",["number"]),seek:t.cwrap("zip_source_seek","number",["number",...Nf,"number"]),tell:t.cwrap("zip_source_tell","number",["number"]),read:t.cwrap("zip_source_read","number",["number","number","number"]),error:t.cwrap("zip_source_error","number",["number"])},struct:{statS:t.cwrap("zipstruct_statS","number",[]),statSize:t.cwrap("zipstruct_stat_size","number",["number"]),statCompSize:t.cwrap("zipstruct_stat_comp_size","number",["number"]),statCompMethod:t.cwrap("zipstruct_stat_comp_method","number",["number"]),statMtime:t.cwrap("zipstruct_stat_mtime","number",["number"]),statCrc:t.cwrap("zipstruct_stat_crc","number",["number"]),errorS:t.cwrap("zipstruct_errorS","number",[]),errorCodeZip:t.cwrap("zipstruct_error_code_zip","number",["number"])}})});function iU(t,e){let r=t.indexOf(e);if(r<=0)return null;let o=r;for(;r>=0&&(o=r+e.length,t[o]!==V.sep);){if(t[r-1]===V.sep)return null;r=t.indexOf(e,o)}return t.length>o&&t[o]!==V.sep?null:t.slice(0,o)}var zl,Ule=Et(()=>{Pt();Pt();nA();zl=class extends Up{static async openPromise(e,r){let o=new zl(r);try{return await e(o)}finally{o.saveAndClose()}}constructor(e={}){let r=e.fileExtensions,o=e.readOnlyArchives,a=typeof r>"u"?A=>iU(A,".zip"):A=>{for(let p of r){let h=iU(A,p);if(h)return h}return null},n=(A,p)=>new Ji(p,{baseFs:A,readOnly:o,stats:A.statSync(p)}),u=async(A,p)=>{let h={baseFs:A,readOnly:o,stats:await A.statPromise(p)};return()=>new Ji(p,h)};super({...e,factorySync:n,factoryPromise:u,getMountPoint:a})}}});function fot(t){if(typeof t=="string"&&String(+t)===t)return+t;if(typeof t=="number"&&Number.isFinite(t))return t<0?Date.now()/1e3:t;if(_le.types.isDate(t))return t.getTime()/1e3;throw new Error("Invalid time")}function Tb(){return Buffer.from([80,75,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0])}var ta,sU,_le,oU,Hle,Nb,Ji,aU=Et(()=>{Pt();Pt();Pt();Pt();Pt();Pt();ta=Be("fs"),sU=Be("stream"),_le=Be("util"),oU=$e(Be("zlib"));tU();Hle="mixed";Nb=class extends Error{constructor(r,o){super(r);this.name="Libzip Error",this.code=o}},Ji=class extends Mu{constructor(r,o={}){super();this.listings=new Map;this.entries=new Map;this.fileSources=new Map;this.fds=new Map;this.nextFd=0;this.ready=!1;this.readOnly=!1;let a=o;if(this.level=typeof a.level<"u"?a.level:Hle,r??=Tb(),typeof r=="string"){let{baseFs:A=new Tn}=a;this.baseFs=A,this.path=r}else this.path=null,this.baseFs=null;if(o.stats)this.stats=o.stats;else if(typeof r=="string")try{this.stats=this.baseFs.statSync(r)}catch(A){if(A.code==="ENOENT"&&a.create)this.stats=Ea.makeDefaultStats();else throw A}else this.stats=Ea.makeDefaultStats();this.libzip=P1();let n=this.libzip.malloc(4);try{let A=0;o.readOnly&&(A|=this.libzip.ZIP_RDONLY,this.readOnly=!0),typeof r=="string"&&(r=a.create?Tb():this.baseFs.readFileSync(r));let p=this.allocateUnattachedSource(r);try{this.zip=this.libzip.openFromSource(p,A,n),this.lzSource=p}catch(h){throw this.libzip.source.free(p),h}if(this.zip===0){let h=this.libzip.struct.errorS();throw this.libzip.error.initWithCode(h,this.libzip.getValue(n,"i32")),this.makeLibzipError(h)}}finally{this.libzip.free(n)}this.listings.set(Bt.root,new Set);let u=this.libzip.getNumEntries(this.zip,0);for(let A=0;Ar)throw new Error("Overread");let n=this.libzip.HEAPU8.subarray(o,o+r);return Buffer.from(n)}finally{this.libzip.free(o)}}finally{this.libzip.source.close(this.lzSource),this.libzip.source.free(this.lzSource),this.ready=!1}}discardAndClose(){this.prepareClose(),this.libzip.discard(this.zip),this.ready=!1}saveAndClose(){if(!this.path||!this.baseFs)throw new Error("ZipFS cannot be saved and must be discarded when loaded from a buffer");if(this.readOnly){this.discardAndClose();return}let r=this.baseFs.existsSync(this.path)||this.stats.mode===Ea.DEFAULT_MODE?void 0:this.stats.mode;this.baseFs.writeFileSync(this.path,this.getBufferAndClose(),{mode:r}),this.ready=!1}resolve(r){return V.resolve(Bt.root,r)}async openPromise(r,o,a){return this.openSync(r,o,a)}openSync(r,o,a){let n=this.nextFd++;return this.fds.set(n,{cursor:0,p:r}),n}hasOpenFileHandles(){return!!this.fds.size}async opendirPromise(r,o){return this.opendirSync(r,o)}opendirSync(r,o={}){let a=this.resolveFilename(`opendir '${r}'`,r);if(!this.entries.has(a)&&!this.listings.has(a))throw ar.ENOENT(`opendir '${r}'`);let n=this.listings.get(a);if(!n)throw ar.ENOTDIR(`opendir '${r}'`);let u=[...n],A=this.openSync(a,"r");return SD(this,a,u,{onClose:()=>{this.closeSync(A)}})}async readPromise(r,o,a,n,u){return this.readSync(r,o,a,n,u)}readSync(r,o,a=0,n=o.byteLength,u=-1){let A=this.fds.get(r);if(typeof A>"u")throw ar.EBADF("read");let p=u===-1||u===null?A.cursor:u,h=this.readFileSync(A.p);h.copy(o,a,p,p+n);let C=Math.max(0,Math.min(h.length-p,n));return(u===-1||u===null)&&(A.cursor+=C),C}async writePromise(r,o,a,n,u){return typeof o=="string"?this.writeSync(r,o,u):this.writeSync(r,o,a,n,u)}writeSync(r,o,a,n,u){throw typeof this.fds.get(r)>"u"?ar.EBADF("read"):new Error("Unimplemented")}async closePromise(r){return this.closeSync(r)}closeSync(r){if(typeof this.fds.get(r)>"u")throw ar.EBADF("read");this.fds.delete(r)}createReadStream(r,{encoding:o}={}){if(r===null)throw new Error("Unimplemented");let a=this.openSync(r,"r"),n=Object.assign(new sU.PassThrough({emitClose:!0,autoDestroy:!0,destroy:(A,p)=>{clearImmediate(u),this.closeSync(a),p(A)}}),{close(){n.destroy()},bytesRead:0,path:r,pending:!1}),u=setImmediate(async()=>{try{let A=await this.readFilePromise(r,o);n.bytesRead=A.length,n.end(A)}catch(A){n.destroy(A)}});return n}createWriteStream(r,{encoding:o}={}){if(this.readOnly)throw ar.EROFS(`open '${r}'`);if(r===null)throw new Error("Unimplemented");let a=[],n=this.openSync(r,"w"),u=Object.assign(new sU.PassThrough({autoDestroy:!0,emitClose:!0,destroy:(A,p)=>{try{A?p(A):(this.writeFileSync(r,Buffer.concat(a),o),p(null))}catch(h){p(h)}finally{this.closeSync(n)}}}),{close(){u.destroy()},bytesWritten:0,path:r,pending:!1});return u.on("data",A=>{let p=Buffer.from(A);u.bytesWritten+=p.length,a.push(p)}),u}async realpathPromise(r){return this.realpathSync(r)}realpathSync(r){let o=this.resolveFilename(`lstat '${r}'`,r);if(!this.entries.has(o)&&!this.listings.has(o))throw ar.ENOENT(`lstat '${r}'`);return o}async existsPromise(r){return this.existsSync(r)}existsSync(r){if(!this.ready)throw ar.EBUSY(`archive closed, existsSync '${r}'`);if(this.symlinkCount===0){let a=V.resolve(Bt.root,r);return this.entries.has(a)||this.listings.has(a)}let o;try{o=this.resolveFilename(`stat '${r}'`,r,void 0,!1)}catch{return!1}return o===void 0?!1:this.entries.has(o)||this.listings.has(o)}async accessPromise(r,o){return this.accessSync(r,o)}accessSync(r,o=ta.constants.F_OK){let a=this.resolveFilename(`access '${r}'`,r);if(!this.entries.has(a)&&!this.listings.has(a))throw ar.ENOENT(`access '${r}'`);if(this.readOnly&&o&ta.constants.W_OK)throw ar.EROFS(`access '${r}'`)}async statPromise(r,o={bigint:!1}){return o.bigint?this.statSync(r,{bigint:!0}):this.statSync(r)}statSync(r,o={bigint:!1,throwIfNoEntry:!0}){let a=this.resolveFilename(`stat '${r}'`,r,void 0,o.throwIfNoEntry);if(a!==void 0){if(!this.entries.has(a)&&!this.listings.has(a)){if(o.throwIfNoEntry===!1)return;throw ar.ENOENT(`stat '${r}'`)}if(r[r.length-1]==="/"&&!this.listings.has(a))throw ar.ENOTDIR(`stat '${r}'`);return this.statImpl(`stat '${r}'`,a,o)}}async fstatPromise(r,o){return this.fstatSync(r,o)}fstatSync(r,o){let a=this.fds.get(r);if(typeof a>"u")throw ar.EBADF("fstatSync");let{p:n}=a,u=this.resolveFilename(`stat '${n}'`,n);if(!this.entries.has(u)&&!this.listings.has(u))throw ar.ENOENT(`stat '${n}'`);if(n[n.length-1]==="/"&&!this.listings.has(u))throw ar.ENOTDIR(`stat '${n}'`);return this.statImpl(`fstat '${n}'`,u,o)}async lstatPromise(r,o={bigint:!1}){return o.bigint?this.lstatSync(r,{bigint:!0}):this.lstatSync(r)}lstatSync(r,o={bigint:!1,throwIfNoEntry:!0}){let a=this.resolveFilename(`lstat '${r}'`,r,!1,o.throwIfNoEntry);if(a!==void 0){if(!this.entries.has(a)&&!this.listings.has(a)){if(o.throwIfNoEntry===!1)return;throw ar.ENOENT(`lstat '${r}'`)}if(r[r.length-1]==="/"&&!this.listings.has(a))throw ar.ENOTDIR(`lstat '${r}'`);return this.statImpl(`lstat '${r}'`,a,o)}}statImpl(r,o,a={}){let n=this.entries.get(o);if(typeof n<"u"){let u=this.libzip.struct.statS();if(this.libzip.statIndex(this.zip,n,0,0,u)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));let p=this.stats.uid,h=this.stats.gid,C=this.libzip.struct.statSize(u)>>>0,I=512,v=Math.ceil(C/I),x=(this.libzip.struct.statMtime(u)>>>0)*1e3,E=x,R=x,L=x,U=new Date(E),z=new Date(R),te=new Date(L),le=new Date(x),he=this.listings.has(o)?ta.constants.S_IFDIR:this.isSymbolicLink(n)?ta.constants.S_IFLNK:ta.constants.S_IFREG,Ae=he===ta.constants.S_IFDIR?493:420,ye=he|this.getUnixMode(n,Ae)&511,ae=this.libzip.struct.statCrc(u),Ie=Object.assign(new Ea.StatEntry,{uid:p,gid:h,size:C,blksize:I,blocks:v,atime:U,birthtime:z,ctime:te,mtime:le,atimeMs:E,birthtimeMs:R,ctimeMs:L,mtimeMs:x,mode:ye,crc:ae});return a.bigint===!0?Ea.convertToBigIntStats(Ie):Ie}if(this.listings.has(o)){let u=this.stats.uid,A=this.stats.gid,p=0,h=512,C=0,I=this.stats.mtimeMs,v=this.stats.mtimeMs,x=this.stats.mtimeMs,E=this.stats.mtimeMs,R=new Date(I),L=new Date(v),U=new Date(x),z=new Date(E),te=ta.constants.S_IFDIR|493,le=0,he=Object.assign(new Ea.StatEntry,{uid:u,gid:A,size:p,blksize:h,blocks:C,atime:R,birthtime:L,ctime:U,mtime:z,atimeMs:I,birthtimeMs:v,ctimeMs:x,mtimeMs:E,mode:te,crc:le});return a.bigint===!0?Ea.convertToBigIntStats(he):he}throw new Error("Unreachable")}getUnixMode(r,o){if(this.libzip.file.getExternalAttributes(this.zip,r,0,0,this.libzip.uint08S,this.libzip.uint32S)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));return this.libzip.getValue(this.libzip.uint08S,"i8")>>>0!==this.libzip.ZIP_OPSYS_UNIX?o:this.libzip.getValue(this.libzip.uint32S,"i32")>>>16}registerListing(r){let o=this.listings.get(r);if(o)return o;this.registerListing(V.dirname(r)).add(V.basename(r));let n=new Set;return this.listings.set(r,n),n}registerEntry(r,o){this.registerListing(V.dirname(r)).add(V.basename(r)),this.entries.set(r,o)}unregisterListing(r){this.listings.delete(r),this.listings.get(V.dirname(r))?.delete(V.basename(r))}unregisterEntry(r){this.unregisterListing(r);let o=this.entries.get(r);this.entries.delete(r),!(typeof o>"u")&&(this.fileSources.delete(o),this.isSymbolicLink(o)&&this.symlinkCount--)}deleteEntry(r,o){if(this.unregisterEntry(r),this.libzip.delete(this.zip,o)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip))}resolveFilename(r,o,a=!0,n=!0){if(!this.ready)throw ar.EBUSY(`archive closed, ${r}`);let u=V.resolve(Bt.root,o);if(u==="/")return Bt.root;let A=this.entries.get(u);if(a&&A!==void 0)if(this.symlinkCount!==0&&this.isSymbolicLink(A)){let p=this.getFileSource(A).toString();return this.resolveFilename(r,V.resolve(V.dirname(u),p),!0,n)}else return u;for(;;){let p=this.resolveFilename(r,V.dirname(u),!0,n);if(p===void 0)return p;let h=this.listings.has(p),C=this.entries.has(p);if(!h&&!C){if(n===!1)return;throw ar.ENOENT(r)}if(!h)throw ar.ENOTDIR(r);if(u=V.resolve(p,V.basename(u)),!a||this.symlinkCount===0)break;let I=this.libzip.name.locate(this.zip,u.slice(1),0);if(I===-1)break;if(this.isSymbolicLink(I)){let v=this.getFileSource(I).toString();u=V.resolve(V.dirname(u),v)}else break}return u}allocateBuffer(r){Buffer.isBuffer(r)||(r=Buffer.from(r));let o=this.libzip.malloc(r.byteLength);if(!o)throw new Error("Couldn't allocate enough memory");return new Uint8Array(this.libzip.HEAPU8.buffer,o,r.byteLength).set(r),{buffer:o,byteLength:r.byteLength}}allocateUnattachedSource(r){let o=this.libzip.struct.errorS(),{buffer:a,byteLength:n}=this.allocateBuffer(r),u=this.libzip.source.fromUnattachedBuffer(a,n,0,1,o);if(u===0)throw this.libzip.free(o),this.makeLibzipError(o);return u}allocateSource(r){let{buffer:o,byteLength:a}=this.allocateBuffer(r),n=this.libzip.source.fromBuffer(this.zip,o,a,0,1);if(n===0)throw this.libzip.free(o),this.makeLibzipError(this.libzip.getError(this.zip));return n}setFileSource(r,o){let a=Buffer.isBuffer(o)?o:Buffer.from(o),n=V.relative(Bt.root,r),u=this.allocateSource(o);try{let A=this.libzip.file.add(this.zip,n,u,this.libzip.ZIP_FL_OVERWRITE);if(A===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));if(this.level!=="mixed"){let p=this.level===0?this.libzip.ZIP_CM_STORE:this.libzip.ZIP_CM_DEFLATE;if(this.libzip.file.setCompression(this.zip,A,0,p,this.level)===-1)throw 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Yue{constructor(e,r){r=r||{},super(r),this.preservePaths=!!r.preservePaths,this.portable=!!r.portable,this.strict=!!r.strict,this.noPax=!!r.noPax,this.noMtime=!!r.noMtime,this.readEntry=e,this.type=e.type,this.type==="Directory"&&this.portable&&(this.noMtime=!0),this.prefix=r.prefix||null,this.path=sA(e.path),this.mode=this[Ax](e.mode),this.uid=this.portable?null:e.uid,this.gid=this.portable?null:e.gid,this.uname=this.portable?null:e.uname,this.gname=this.portable?null:e.gname,this.size=e.size,this.mtime=this.noMtime?null:r.mtime||e.mtime,this.atime=this.portable?null:e.atime,this.ctime=this.portable?null:e.ctime,this.linkpath=sA(e.linkpath),typeof r.onwarn=="function"&&this.on("warn",r.onwarn);let o=!1;if(!this.preservePaths){let[a,n]=Jue(this.path);a&&(this.path=n,o=a)}this.remain=e.size,this.blockRemain=e.startBlockSize,this.header=new 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Wue({atime:this.portable?null:this.atime,ctime:this.portable?null:this.ctime,gid:this.portable?null:this.gid,mtime:this.noMtime?null:this.mtime,path:this[aA](this.path),linkpath:this.type==="Link"?this[aA](this.linkpath):this.linkpath,size:this.size,uid:this.portable?null:this.uid,uname:this.portable?null:this.uname,dev:this.portable?null:this.readEntry.dev,ino:this.portable?null:this.readEntry.ino,nlink:this.portable?null:this.readEntry.nlink}).encode()),super.write(this.header.block),e.pipe(this)}[aA](e){return Vue(e,this.prefix)}[Ax](e){return Xue(e,this.type==="Directory",this.portable)}write(e){let r=e.length;if(r>this.blockRemain)throw new Error("writing more to entry than is appropriate");return this.blockRemain-=r,super.write(e)}end(){return this.blockRemain&&super.write(Buffer.alloc(this.blockRemain)),super.end()}});fx.Sync=f3;fx.Tar=hlt;var glt=t=>t.isFile()?"File":t.isDirectory()?"Directory":t.isSymbolicLink()?"SymbolicLink":"Unsupported";Zue.exports=fx});var wx=_((nUt,sAe)=>{"use strict";var Ex=class{constructor(e,r){this.path=e||"./",this.absolute=r,this.entry=null,this.stat=null,this.readdir=null,this.pending=!1,this.ignore=!1,this.piped=!1}},dlt=OE(),mlt=WU(),ylt=ix(),I3=p3(),Elt=I3.Sync,Clt=I3.Tar,wlt=BP(),$ue=Buffer.alloc(1024),gx=Symbol("onStat"),px=Symbol("ended"),lA=Symbol("queue"),GE=Symbol("current"),Td=Symbol("process"),hx=Symbol("processing"),eAe=Symbol("processJob"),cA=Symbol("jobs"),h3=Symbol("jobDone"),dx=Symbol("addFSEntry"),tAe=Symbol("addTarEntry"),y3=Symbol("stat"),E3=Symbol("readdir"),mx=Symbol("onreaddir"),yx=Symbol("pipe"),rAe=Symbol("entry"),g3=Symbol("entryOpt"),C3=Symbol("writeEntryClass"),iAe=Symbol("write"),d3=Symbol("ondrain"),Cx=Be("fs"),nAe=Be("path"),Ilt=ax(),m3=_E(),B3=Ilt(class extends dlt{constructor(e){super(e),e=e||Object.create(null),this.opt=e,this.file=e.file||"",this.cwd=e.cwd||process.cwd(),this.maxReadSize=e.maxReadSize,this.preservePaths=!!e.preservePaths,this.strict=!!e.strict,this.noPax=!!e.noPax,this.prefix=m3(e.prefix||""),this.linkCache=e.linkCache||new Map,this.statCache=e.statCache||new Map,this.readdirCache=e.readdirCache||new Map,this[C3]=I3,typeof e.onwarn=="function"&&this.on("warn",e.onwarn),this.portable=!!e.portable,this.zip=null,e.gzip?(typeof e.gzip!="object"&&(e.gzip={}),this.portable&&(e.gzip.portable=!0),this.zip=new mlt.Gzip(e.gzip),this.zip.on("data",r=>super.write(r)),this.zip.on("end",r=>super.end()),this.zip.on("drain",r=>this[d3]()),this.on("resume",r=>this.zip.resume())):this.on("drain",this[d3]),this.noDirRecurse=!!e.noDirRecurse,this.follow=!!e.follow,this.noMtime=!!e.noMtime,this.mtime=e.mtime||null,this.filter=typeof e.filter=="function"?e.filter:r=>!0,this[lA]=new wlt,this[cA]=0,this.jobs=+e.jobs||4,this[hx]=!1,this[px]=!1}[iAe](e){return super.write(e)}add(e){return this.write(e),this}end(e){return e&&this.write(e),this[px]=!0,this[Td](),this}write(e){if(this[px])throw new Error("write after end");return e instanceof ylt?this[tAe](e):this[dx](e),this.flowing}[tAe](e){let r=m3(nAe.resolve(this.cwd,e.path));if(!this.filter(e.path,e))e.resume();else{let o=new Ex(e.path,r,!1);o.entry=new Clt(e,this[g3](o)),o.entry.on("end",a=>this[h3](o)),this[cA]+=1,this[lA].push(o)}this[Td]()}[dx](e){let r=m3(nAe.resolve(this.cwd,e));this[lA].push(new Ex(e,r)),this[Td]()}[y3](e){e.pending=!0,this[cA]+=1;let r=this.follow?"stat":"lstat";Cx[r](e.absolute,(o,a)=>{e.pending=!1,this[cA]-=1,o?this.emit("error",o):this[gx](e,a)})}[gx](e,r){this.statCache.set(e.absolute,r),e.stat=r,this.filter(e.path,r)||(e.ignore=!0),this[Td]()}[E3](e){e.pending=!0,this[cA]+=1,Cx.readdir(e.absolute,(r,o)=>{if(e.pending=!1,this[cA]-=1,r)return 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B3{constructor(e){super(e),this[C3]=Elt}pause(){}resume(){}[y3](e){let r=this.follow?"statSync":"lstatSync";this[gx](e,Cx[r](e.absolute))}[E3](e,r){this[mx](e,Cx.readdirSync(e.absolute))}[yx](e){let r=e.entry,o=this.zip;e.readdir&&e.readdir.forEach(a=>{let n=e.path,u=n==="./"?"":n.replace(/\/*$/,"/");this[dx](u+a)}),o?r.on("data",a=>{o.write(a)}):r.on("data",a=>{super[iAe](a)})}};B3.Sync=w3;sAe.exports=B3});var ZE=_(G1=>{"use strict";var Blt=OE(),vlt=Be("events").EventEmitter,Qa=Be("fs"),P3=Qa.writev;if(!P3){let t=process.binding("fs"),e=t.FSReqWrap||t.FSReqCallback;P3=(r,o,a,n)=>{let u=(p,h)=>n(p,h,o),A=new e;A.oncomplete=u,t.writeBuffers(r,o,a,A)}}var JE=Symbol("_autoClose"),Yc=Symbol("_close"),q1=Symbol("_ended"),Gn=Symbol("_fd"),oAe=Symbol("_finished"),Eh=Symbol("_flags"),v3=Symbol("_flush"),S3=Symbol("_handleChunk"),b3=Symbol("_makeBuf"),Px=Symbol("_mode"),Ix=Symbol("_needDrain"),VE=Symbol("_onerror"),XE=Symbol("_onopen"),D3=Symbol("_onread"),WE=Symbol("_onwrite"),Ch=Symbol("_open"),Hf=Symbol("_path"),Nd=Symbol("_pos"),uA=Symbol("_queue"),KE=Symbol("_read"),aAe=Symbol("_readSize"),yh=Symbol("_reading"),Bx=Symbol("_remain"),lAe=Symbol("_size"),vx=Symbol("_write"),YE=Symbol("_writing"),Dx=Symbol("_defaultFlag"),zE=Symbol("_errored"),Sx=class extends Blt{constructor(e,r){if(r=r||{},super(r),this.readable=!0,this.writable=!1,typeof e!="string")throw new TypeError("path must be a string");this[zE]=!1,this[Gn]=typeof r.fd=="number"?r.fd:null,this[Hf]=e,this[aAe]=r.readSize||16*1024*1024,this[yh]=!1,this[lAe]=typeof r.size=="number"?r.size:1/0,this[Bx]=this[lAe],this[JE]=typeof r.autoClose=="boolean"?r.autoClose:!0,typeof 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Dlt=ax(),Plt=jE(),Slt=Be("events"),blt=BP(),xlt=1024*1024,klt=ix(),cAe=ox(),Qlt=WU(),Q3=Buffer.from([31,139]),Xl=Symbol("state"),Ld=Symbol("writeEntry"),jf=Symbol("readEntry"),F3=Symbol("nextEntry"),uAe=Symbol("processEntry"),Zl=Symbol("extendedHeader"),Y1=Symbol("globalExtendedHeader"),wh=Symbol("meta"),AAe=Symbol("emitMeta"),fi=Symbol("buffer"),qf=Symbol("queue"),Od=Symbol("ended"),fAe=Symbol("emittedEnd"),Md=Symbol("emit"),Fa=Symbol("unzip"),xx=Symbol("consumeChunk"),kx=Symbol("consumeChunkSub"),R3=Symbol("consumeBody"),pAe=Symbol("consumeMeta"),hAe=Symbol("consumeHeader"),Qx=Symbol("consuming"),T3=Symbol("bufferConcat"),N3=Symbol("maybeEnd"),W1=Symbol("writing"),Ih=Symbol("aborted"),Fx=Symbol("onDone"),Ud=Symbol("sawValidEntry"),Rx=Symbol("sawNullBlock"),Tx=Symbol("sawEOF"),Flt=t=>!0;gAe.exports=Dlt(class extends Slt{constructor(e){e=e||{},super(e),this.file=e.file||"",this[Ud]=null,this.on(Fx,r=>{(this[Xl]==="begin"||this[Ud]===!1)&&this.warn("TAR_BAD_ARCHIVE","Unrecognized 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yfe=Be("assert"),Dct=K3(),Pct=qE(),{join:Efe}=Be("path"),Sct=process.env.TESTING_TAR_FAKE_PLATFORM||process.platform,bct=Sct==="win32";Cfe.exports=()=>{let t=new Map,e=new Map,r=h=>h.split("/").slice(0,-1).reduce((I,v)=>(I.length&&(v=Efe(I[I.length-1],v)),I.push(v||"/"),I),[]),o=new Set,a=h=>{let C=e.get(h);if(!C)throw new Error("function does not have any path reservations");return{paths:C.paths.map(I=>t.get(I)),dirs:[...C.dirs].map(I=>t.get(I))}},n=h=>{let{paths:C,dirs:I}=a(h);return C.every(v=>v[0]===h)&&I.every(v=>v[0]instanceof Set&&v[0].has(h))},u=h=>o.has(h)||!n(h)?!1:(o.add(h),h(()=>A(h)),!0),A=h=>{if(!o.has(h))return!1;let{paths:C,dirs:I}=e.get(h),v=new Set;return C.forEach(x=>{let E=t.get(x);yfe.equal(E[0],h),E.length===1?t.delete(x):(E.shift(),typeof E[0]=="function"?v.add(E[0]):E[0].forEach(R=>v.add(R)))}),I.forEach(x=>{let E=t.get(x);yfe(E[0]instanceof 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e=t+".DELETE."+Lfe.randomBytes(16).toString("hex");vn.renameSync(t,e),vn.unlinkSync(e)},Rfe=(t,e,r)=>t===t>>>0?t:e===e>>>0?e:r,Tfe=t=>Gct(qct(fl(t))).toLowerCase(),Vct=(t,e)=>{e=Tfe(e);for(let r of t.keys()){let o=Tfe(r);(o===e||o.indexOf(e+"/")===0)&&t.delete(r)}},zct=t=>{for(let e of t.keys())t.delete(e)},$1=class extends Uct{constructor(e){if(e||(e={}),e.ondone=r=>{this[V3]=!0,this[z3]()},super(e),this[X1]=!1,this.reservations=Hct(),this.transform=typeof e.transform=="function"?e.transform:null,this.writable=!0,this.readable=!1,this[Gx]=0,this[V3]=!1,this.dirCache=e.dirCache||new Map,typeof e.uid=="number"||typeof e.gid=="number"){if(typeof e.uid!="number"||typeof e.gid!="number")throw new TypeError("cannot set owner without number uid and gid");if(e.preserveOwner)throw new TypeError("cannot preserve owner in archive and also set owner explicitly");this.uid=e.uid,this.gid=e.gid,this.setOwner=!0}else this.uid=null,this.gid=null,this.setOwner=!1;e.preserveOwner===void 0&&typeof 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this[kfe](e)}}[To](e,r){e.name==="CwdError"?this.emit("error",e):(this.warn("TAR_ENTRY_ERROR",e,{entry:r}),this[nC](),r.resume())}[vh](e,r,o){Nfe(fl(e),{uid:this.uid,gid:this.gid,processUid:this.processUid,processGid:this.processGid,umask:this.processUmask,preserve:this.preservePaths,unlink:this.unlink,cache:this.dirCache,cwd:this.cwd,mode:r,noChmod:this.noChmod},o)}[V1](e){return this.forceChown||this.preserveOwner&&(typeof e.uid=="number"&&e.uid!==this.processUid||typeof e.gid=="number"&&e.gid!==this.processGid)||typeof this.uid=="number"&&this.uid!==this.processUid||typeof this.gid=="number"&&this.gid!==this.processGid}[z1](e){return Rfe(this.uid,e.uid,this.processUid)}[J1](e){return Rfe(this.gid,e.gid,this.processGid)}[Z3](e,r){let o=e.mode&4095||this.fmode,a=new _ct.WriteStream(e.absolute,{flags:Ofe(e.size),mode:o,autoClose:!1});a.on("error",p=>{a.fd&&vn.close(a.fd,()=>{}),a.write=()=>!0,this[To](p,e),r()});let 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h=this[z1](e),C=this[J1](e);try{vn.fchownSync(n,h,C)}catch(I){try{vn.chownSync(e.absolute,h,C)}catch{p=p||I}}}a(p)})}[$3](e,r){let o=e.mode&4095||this.dmode,a=this[vh](e.absolute,o);if(a){this[To](a,e),r();return}if(e.mtime&&!this.noMtime)try{vn.utimesSync(e.absolute,e.atime||new Date,e.mtime)}catch{}if(this[V1](e))try{vn.chownSync(e.absolute,this[z1](e),this[J1](e))}catch{}r(),e.resume()}[vh](e,r){try{return Nfe.sync(fl(e),{uid:this.uid,gid:this.gid,processUid:this.processUid,processGid:this.processGid,umask:this.processUmask,preserve:this.preservePaths,unlink:this.unlink,cache:this.dirCache,cwd:this.cwd,mode:r})}catch(o){return o}}[Kx](e,r,o,a){try{vn[o+"Sync"](r,e.absolute),a(),e.resume()}catch(n){return this[To](n,e)}}};$1.Sync=t_;Mfe.exports=$1});var qfe=_((vUt,jfe)=>{"use strict";var Jct=NE(),Vx=r_(),_fe=Be("fs"),Hfe=ZE(),Ufe=Be("path"),n_=qE();jfe.exports=(t,e,r)=>{typeof t=="function"?(r=t,e=null,t={}):Array.isArray(t)&&(e=t,t={}),typeof e=="function"&&(r=e,e=null),e?e=Array.from(e):e=[];let o=Jct(t);if(o.sync&&typeof r=="function")throw new TypeError("callback not supported for sync tar functions");if(!o.file&&typeof r=="function")throw new TypeError("callback only supported with file option");return e.length&&Xct(o,e),o.file&&o.sync?Zct(o):o.file?$ct(o,r):o.sync?eut(o):tut(o)};var Xct=(t,e)=>{let r=new Map(e.map(n=>[n_(n),!0])),o=t.filter,a=(n,u)=>{let A=u||Ufe.parse(n).root||".",p=n===A?!1:r.has(n)?r.get(n):a(Ufe.dirname(n),A);return r.set(n,p),p};t.filter=o?(n,u)=>o(n,u)&&a(n_(n)):n=>a(n_(n))},Zct=t=>{let e=new Vx.Sync(t),r=t.file,o=_fe.statSync(r),a=t.maxReadSize||16*1024*1024;new Hfe.ReadStreamSync(r,{readSize:a,size:o.size}).pipe(e)},$ct=(t,e)=>{let r=new Vx(t),o=t.maxReadSize||16*1024*1024,a=t.file,n=new Promise((u,A)=>{r.on("error",A),r.on("close",u),_fe.stat(a,(p,h)=>{if(p)A(p);else{let C=new Hfe.ReadStream(a,{readSize:o,size:h.size});C.on("error",A),C.pipe(r)}})});return e?n.then(e,e):n},eut=t=>new Vx.Sync(t),tut=t=>new Vx(t)});var Gfe=_(us=>{"use strict";us.c=us.create=DAe();us.r=us.replace=M3();us.t=us.list=Lx();us.u=us.update=TAe();us.x=us.extract=qfe();us.Pack=wx();us.Unpack=r_();us.Parse=Nx();us.ReadEntry=ix();us.WriteEntry=p3();us.Header=jE();us.Pax=ox();us.types=zU()});var i_,Yfe,Dh,e2,t2,Wfe=Et(()=>{i_=$e(rd()),Yfe=Be("worker_threads"),Dh=Symbol("kTaskInfo"),e2=class{constructor(e,r){this.fn=e;this.limit=(0,i_.default)(r.poolSize)}run(e){return this.limit(()=>this.fn(e))}},t2=class{constructor(e,r){this.source=e;this.workers=[];this.limit=(0,i_.default)(r.poolSize),this.cleanupInterval=setInterval(()=>{if(this.limit.pendingCount===0&&this.limit.activeCount===0){let o=this.workers.pop();o?o.terminate():clearInterval(this.cleanupInterval)}},5e3).unref()}createWorker(){this.cleanupInterval.refresh();let e=new Yfe.Worker(this.source,{eval:!0,execArgv:[...process.execArgv,"--unhandled-rejections=strict"]});return e.on("message",r=>{if(!e[Dh])throw new Error("Assertion failed: Worker sent a result without having a task assigned");e[Dh].resolve(r),e[Dh]=null,e.unref(),this.workers.push(e)}),e.on("error",r=>{e[Dh]?.reject(r),e[Dh]=null}),e.on("exit",r=>{r!==0&&e[Dh]?.reject(new Error(`Worker exited with code ${r}`)),e[Dh]=null}),e}run(e){return this.limit(()=>{let r=this.workers.pop()??this.createWorker();return r.ref(),new Promise((o,a)=>{r[Dh]={resolve:o,reject:a},r.postMessage(e)})})}}});var Vfe=_((bUt,Kfe)=>{var s_;Kfe.exports.getContent=()=>(typeof s_>"u"&&(s_=Be("zlib").brotliDecompressSync(Buffer.from("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lt=ol(he,we.locatorHash,()=>({type:2,requested:ce,subject:we,dependents:new Map,requesters:new Map,links:new Map,version:xe,hash:`p${we.locatorHash.slice(0,5)}`}));lt.dependents.set(g.locatorHash,g),lt.requesters.set(ae.locatorHash,ae);for(let Te of De)lt.links.set(Te,o.get(Te));A.push({type:1,subject:g,requested:ce,requester:ae,version:xe,hash:ne,requirementCount:De.length})}}else ae.peerDependenciesMeta.get(Ee)?.optional||A.push({type:0,subject:g,requested:ce,requester:ae,hash:ne})}}}A.push(...he.values())}function NAt(t,e){let r=BL(t.peerWarnings,"type"),o=r[2]?.map(n=>{let u=Array.from(n.links.values(),C=>{let I=t.storedPackages.get(C.locatorHash);if(typeof I>"u")throw new Error("Assertion failed: Expected the package to be registered");let v=I.peerDependencies.get(n.requested.identHash);if(typeof v>"u")throw new Error("Assertion failed: Expected the ident to be registered");return v.range}),A=n.links.size>1?"and other dependencies 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u.findLocatorForLocation(`${o}/`,{strict:!0});if(p)return{project:u,locator:p,workspace:null};let h=Mt(e,u.cwd,yt.PATH),C=Mt(e,V.relative(u.cwd,o),yt.PATH),I=`- If ${h} isn't intended to be a project, remove any yarn.lock and/or package.json file there.`,v=`- If ${h} is intended to be a project, it might be that you forgot to list ${C} in its workspace configuration.`,x=`- Finally, if ${h} is fine and you intend ${C} to be treated as a completely separate project (not even a workspace), create an empty yarn.lock file in it.`;throw new it(`The nearest package directory (${Mt(e,o,yt.PATH)}) doesn't seem to be part of the project declared in ${Mt(e,u.cwd,yt.PATH)}. - -${[I,v,x].join(` -`)}`)}async setupResolutions(){this.storedResolutions=new Map,this.storedDescriptors=new Map,this.storedPackages=new Map,this.lockFileChecksum=null;let e=V.join(this.cwd,dr.lockfile),r=this.configuration.get("defaultLanguageName");if(oe.existsSync(e)){let o=await 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${ue.fromPortablePath(r.cwd)}`);this.workspaces.push(e),this.workspacesByCwd.set(e.cwd,e),this.workspacesByIdent.set(e.anchoredLocator.identHash,e)}get topLevelWorkspace(){return this.getWorkspaceByCwd(this.cwd)}tryWorkspaceByCwd(e){V.isAbsolute(e)||(e=V.resolve(this.cwd,e)),e=V.normalize(e).replace(/\/+$/,"");let r=this.workspacesByCwd.get(e);return r||null}getWorkspaceByCwd(e){let r=this.tryWorkspaceByCwd(e);if(!r)throw new Error(`Workspace not found (${e})`);return r}tryWorkspaceByFilePath(e){let r=null;for(let o of this.workspaces)V.relative(o.cwd,e).startsWith("../")||r&&r.cwd.length>=o.cwd.length||(r=o);return r||null}getWorkspaceByFilePath(e){let r=this.tryWorkspaceByFilePath(e);if(!r)throw new Error(`Workspace not found (${e})`);return r}tryWorkspaceByIdent(e){let r=this.workspacesByIdent.get(e.identHash);return typeof r>"u"?null:r}getWorkspaceByIdent(e){let r=this.tryWorkspaceByIdent(e);if(!r)throw new Error(`Workspace not found (${cs(this.configuration,e)})`);return r}tryWorkspaceByDescriptor(e){if(e.range.startsWith(Xn.protocol)){let o=e.range.slice(Xn.protocol.length);if(o!=="^"&&o!=="~"&&o!=="*"&&!xa(o))return this.tryWorkspaceByCwd(o)}let r=this.tryWorkspaceByIdent(e);return r===null||(Pf(e)&&(e=$I(e)),!r.accepts(e.range))?null:r}getWorkspaceByDescriptor(e){let r=this.tryWorkspaceByDescriptor(e);if(r===null)throw new Error(`Workspace not found (${qn(this.configuration,e)})`);return r}tryWorkspaceByLocator(e){let r=this.tryWorkspaceByIdent(e);return r===null||(Hc(e)&&(e=e1(e)),r.anchoredLocator.locatorHash!==e.locatorHash)?null:r}getWorkspaceByLocator(e){let r=this.tryWorkspaceByLocator(e);if(!r)throw new Error(`Workspace not found (${jr(this.configuration,e)})`);return r}deleteDescriptor(e){this.storedResolutions.delete(e),this.storedDescriptors.delete(e)}deleteLocator(e){this.originalPackages.delete(e),this.storedPackages.delete(e),this.accessibleLocators.delete(e)}forgetResolution(e){if("descriptorHash"in e){let r=this.storedResolutions.get(e.descriptorHash);this.deleteDescriptor(e.descriptorHash);let o=new Set(this.storedResolutions.values());typeof r<"u"&&!o.has(r)&&this.deleteLocator(r)}if("locatorHash"in e){this.deleteLocator(e.locatorHash);for(let[r,o]of this.storedResolutions)o===e.locatorHash&&this.deleteDescriptor(r)}}forgetTransientResolutions(){let e=this.configuration.makeResolver(),r=new Map;for(let[o,a]of this.storedResolutions.entries()){let n=r.get(a);n||r.set(a,n=new Set),n.add(o)}for(let o of this.originalPackages.values()){let a;try{a=e.shouldPersistResolution(o,{project:this,resolver:e})}catch{a=!1}if(!a){this.deleteLocator(o.locatorHash);let n=r.get(o.locatorHash);if(n){r.delete(o.locatorHash);for(let u of n)this.deleteDescriptor(u)}}}}forgetVirtualResolutions(){for(let e of this.storedPackages.values())for(let[r,o]of e.dependencies)Pf(o)&&e.dependencies.set(r,$I(o))}getDependencyMeta(e,r){let o={},n=this.topLevelWorkspace.manifest.dependenciesMeta.get(fn(e));if(!n)return o;let u=n.get(null);if(u&&Object.assign(o,u),r===null||!Zpe.default.valid(r))return o;for(let[A,p]of n)A!==null&&A===r&&Object.assign(o,p);return o}async findLocatorForLocation(e,{strict:r=!1}={}){let o=new Qi,a=this.configuration.getLinkers(),n={project:this,report:o};for(let u of a){let A=await u.findPackageLocator(e,n);if(A){if(r&&(await u.findPackageLocation(A,n)).replace(Jpe,"")!==e.replace(Jpe,""))continue;return A}}return null}async loadUserConfig(){let e=V.join(this.cwd,"yarn.config.cjs");return await oe.existsPromise(e)?zp(e):null}async preparePackage(e,{resolver:r,resolveOptions:o}){let a=await this.configuration.getPackageExtensions(),n=this.configuration.normalizePackage(e,{packageExtensions:a});for(let[u,A]of n.dependencies){let p=await this.configuration.reduceHook(C=>C.reduceDependency,A,this,n,A,{resolver:r,resolveOptions:o});if(!t1(A,p))throw new Error("Assertion failed: The descriptor ident cannot be changed through aliases");let h=r.bindDescriptor(p,n,o);n.dependencies.set(u,h)}return n}async resolveEverything(e){if(!this.workspacesByCwd||!this.workspacesByIdent)throw new Error("Workspaces must have been setup before calling this function");this.forgetVirtualResolutions();let r=new Map(this.originalPackages),o=[];e.lockfileOnly||this.forgetTransientResolutions();let a=e.resolver||this.configuration.makeResolver(),n=new iC(a);await n.setup(this,{report:e.report});let u=e.lockfileOnly?[new $x(a)]:[n,a],A=new Bd([new sC(a),...u]),p=new Bd([...u]),h=this.configuration.makeFetcher(),C=e.lockfileOnly?{project:this,report:e.report,resolver:A}:{project:this,report:e.report,resolver:A,fetchOptions:{project:this,cache:e.cache,checksums:this.storedChecksums,report:e.report,fetcher:h,cacheOptions:{mirrorWriteOnly:!0}}},I=new Map,v=new Map,x=new Map,E=new Map,R=new Map,L=new Map,U=this.topLevelWorkspace.anchoredLocator,z=new Set,te=[],le=_4(),he=this.configuration.getSupportedArchitectures();await e.report.startProgressPromise(Xs.progressViaTitle(),async ce=>{let ne=async H=>{let lt=await Yy(async()=>await A.resolve(H,C),_e=>`${jr(this.configuration,H)}: ${_e}`);if(!r1(H,lt))throw new Error(`Assertion failed: The locator cannot be changed by the resolver (went from ${jr(this.configuration,H)} to ${jr(this.configuration,lt)})`);E.set(lt.locatorHash,lt),!r.delete(lt.locatorHash)&&!this.tryWorkspaceByLocator(lt)&&o.push(lt);let ke=await this.preparePackage(lt,{resolver:A,resolveOptions:C}),be=Uc([...ke.dependencies.values()].map(_e=>ht(_e)));return te.push(be),be.catch(()=>{}),v.set(ke.locatorHash,ke),ke},ee=async H=>{let lt=R.get(H.locatorHash);if(typeof lt<"u")return lt;let Te=Promise.resolve().then(()=>ne(H));return R.set(H.locatorHash,Te),Te},we=async(H,lt)=>{let Te=await ht(lt);return I.set(H.descriptorHash,H),x.set(H.descriptorHash,Te.locatorHash),Te},xe=async H=>{ce.setTitle(qn(this.configuration,H));let lt=this.resolutionAliases.get(H.descriptorHash);if(typeof lt<"u")return we(H,this.storedDescriptors.get(lt));let Te=A.getResolutionDependencies(H,C),ke=Object.fromEntries(await Uc(Object.entries(Te).map(async([Re,ze])=>{let He=A.bindDescriptor(ze,U,C),b=await ht(He);return z.add(b.locatorHash),[Re,b]}))),_e=(await Yy(async()=>await A.getCandidates(H,ke,C),Re=>`${qn(this.configuration,H)}: ${Re}`))[0];if(typeof _e>"u")throw new Jt(82,`${qn(this.configuration,H)}: No candidates found`);if(e.checkResolutions){let{locators:Re}=await p.getSatisfying(H,ke,[_e],{...C,resolver:p});if(!Re.find(ze=>ze.locatorHash===_e.locatorHash))throw new Jt(78,`Invalid resolution ${JI(this.configuration,H,_e)}`)}return I.set(H.descriptorHash,H),x.set(H.descriptorHash,_e.locatorHash),ee(_e)},ht=H=>{let lt=L.get(H.descriptorHash);if(typeof lt<"u")return lt;I.set(H.descriptorHash,H);let Te=Promise.resolve().then(()=>xe(H));return L.set(H.descriptorHash,Te),Te};for(let H of this.workspaces){let lt=H.anchoredDescriptor;te.push(ht(lt))}for(;te.length>0;){let H=[...te];te.length=0,await Uc(H)}});let Ae=sl(r.values(),ce=>this.tryWorkspaceByLocator(ce)?sl.skip:ce);if(o.length>0||Ae.length>0){let ce=new Set(this.workspaces.flatMap(H=>{let lt=v.get(H.anchoredLocator.locatorHash);if(!lt)throw new Error("Assertion failed: The workspace should have been resolved");return Array.from(lt.dependencies.values(),Te=>{let ke=x.get(Te.descriptorHash);if(!ke)throw new Error("Assertion failed: The resolution should have been registered");return ke})})),ne=H=>ce.has(H.locatorHash)?"0":"1",ee=H=>ba(H),we=ks(o,[ne,ee]),xe=ks(Ae,[ne,ee]),ht=e.report.getRecommendedLength();we.length>0&&e.report.reportInfo(85,`${Mt(this.configuration,"+",yt.ADDED)} ${cS(this.configuration,we,ht)}`),xe.length>0&&e.report.reportInfo(85,`${Mt(this.configuration,"-",yt.REMOVED)} ${cS(this.configuration,xe,ht)}`)}let ye=new Set(this.resolutionAliases.values()),ae=new Set(v.keys()),Ie=new Set,Fe=new Map,g=[];TAt({project:this,accessibleLocators:Ie,volatileDescriptors:ye,optionalBuilds:ae,peerRequirements:Fe,peerWarnings:g,allDescriptors:I,allResolutions:x,allPackages:v});for(let ce of z)ae.delete(ce);for(let ce of ye)I.delete(ce),x.delete(ce);let Ee=new Set,De=new Set;for(let ce of v.values())ce.conditions!=null&&(!ae.has(ce.locatorHash)||(qS(ce,he)||(qS(ce,le)&&e.report.reportWarningOnce(77,`${jr(this.configuration,ce)}: Your current architecture (${process.platform}-${process.arch}) is supported by this package, but is missing from the ${Mt(this.configuration,"supportedArchitectures",yt.SETTING)} setting`),De.add(ce.locatorHash)),Ee.add(ce.locatorHash)));this.storedResolutions=x,this.storedDescriptors=I,this.storedPackages=v,this.accessibleLocators=Ie,this.conditionalLocators=Ee,this.disabledLocators=De,this.originalPackages=E,this.optionalBuilds=ae,this.peerRequirements=Fe,this.peerWarnings=g}async fetchEverything({cache:e,report:r,fetcher:o,mode:a,persistProject:n=!0}){let u={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators},A=o||this.configuration.makeFetcher(),p={checksums:this.storedChecksums,project:this,cache:e,fetcher:A,report:r,cacheOptions:u},h=Array.from(new Set(ks(this.storedResolutions.values(),[E=>{let R=this.storedPackages.get(E);if(!R)throw new Error("Assertion failed: The locator should have been registered");return ba(R)}])));a==="update-lockfile"&&(h=h.filter(E=>!this.storedChecksums.has(E)));let C=!1,I=Xs.progressViaCounter(h.length);await r.reportProgress(I);let v=(0,rk.default)(QAt);if(await Uc(h.map(E=>v(async()=>{let R=this.storedPackages.get(E);if(!R)throw new Error("Assertion failed: The locator should have been registered");if(Hc(R))return;let L;try{L=await A.fetch(R,p)}catch(U){U.message=`${jr(this.configuration,R)}: ${U.message}`,r.reportExceptionOnce(U),C=U;return}L.checksum!=null?this.storedChecksums.set(R.locatorHash,L.checksum):this.storedChecksums.delete(R.locatorHash),L.releaseFs&&L.releaseFs()}).finally(()=>{I.tick()}))),C)throw C;let x=n&&a!=="update-lockfile"?await this.cacheCleanup({cache:e,report:r}):null;if(r.cacheMisses.size>0||x){let R=(await Promise.all([...r.cacheMisses].map(async Ae=>{let ye=this.storedPackages.get(Ae),ae=this.storedChecksums.get(Ae)??null,Ie=e.getLocatorPath(ye,ae);return(await oe.statPromise(Ie)).size}))).reduce((Ae,ye)=>Ae+ye,0)-(x?.size??0),L=r.cacheMisses.size,U=x?.count??0,z=`${nS(L,{zero:"No new packages",one:"A package was",more:`${Mt(this.configuration,L,yt.NUMBER)} packages were`})} added to the project`,te=`${nS(U,{zero:"none were",one:"one was",more:`${Mt(this.configuration,U,yt.NUMBER)} were`})} removed`,le=R!==0?` (${Mt(this.configuration,R,yt.SIZE_DIFF)})`:"",he=U>0?L>0?`${z}, and ${te}${le}.`:`${z}, but ${te}${le}.`:`${z}${le}.`;r.reportInfo(13,he)}}async linkEverything({cache:e,report:r,fetcher:o,mode:a}){let n={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators,skipIntegrityCheck:!0},u=o||this.configuration.makeFetcher(),A={checksums:this.storedChecksums,project:this,cache:e,fetcher:u,report:r,cacheOptions:n},p=this.configuration.getLinkers(),h={project:this,report:r},C=new Map(p.map(ce=>{let ne=ce.makeInstaller(h),ee=ce.getCustomDataKey(),we=this.linkersCustomData.get(ee);return typeof we<"u"&&ne.attachCustomData(we),[ce,ne]})),I=new Map,v=new Map,x=new Map,E=new Map(await Uc([...this.accessibleLocators].map(async ce=>{let ne=this.storedPackages.get(ce);if(!ne)throw new Error("Assertion failed: The locator should have been registered");return[ce,await u.fetch(ne,A)]}))),R=[],L=new Set,U=[];for(let ce of this.accessibleLocators){let ne=this.storedPackages.get(ce);if(typeof ne>"u")throw new Error("Assertion failed: The locator should have been registered");let ee=E.get(ne.locatorHash);if(typeof ee>"u")throw new Error("Assertion failed: The fetch result should have been registered");let we=[],xe=H=>{we.push(H)},ht=this.tryWorkspaceByLocator(ne);if(ht!==null){let H=[],{scripts:lt}=ht.manifest;for(let ke of["preinstall","install","postinstall"])lt.has(ke)&&H.push({type:0,script:ke});try{for(let[ke,be]of C)if(ke.supportsPackage(ne,h)&&(await be.installPackage(ne,ee,{holdFetchResult:xe})).buildRequest!==null)throw new Error("Assertion failed: Linkers can't return build directives for workspaces; this responsibility befalls to the Yarn core")}finally{we.length===0?ee.releaseFs?.():R.push(Uc(we).catch(()=>{}).then(()=>{ee.releaseFs?.()}))}let Te=V.join(ee.packageFs.getRealPath(),ee.prefixPath);v.set(ne.locatorHash,Te),!Hc(ne)&&H.length>0&&x.set(ne.locatorHash,{buildDirectives:H,buildLocations:[Te]})}else{let H=p.find(ke=>ke.supportsPackage(ne,h));if(!H)throw new Jt(12,`${jr(this.configuration,ne)} isn't supported by any available linker`);let lt=C.get(H);if(!lt)throw new Error("Assertion failed: The installer should have been registered");let Te;try{Te=await lt.installPackage(ne,ee,{holdFetchResult:xe})}finally{we.length===0?ee.releaseFs?.():R.push(Uc(we).then(()=>{}).then(()=>{ee.releaseFs?.()}))}I.set(ne.locatorHash,H),v.set(ne.locatorHash,Te.packageLocation),Te.buildRequest&&Te.packageLocation&&(Te.buildRequest.skipped?(L.add(ne.locatorHash),this.skippedBuilds.has(ne.locatorHash)||U.push([ne,Te.buildRequest.explain])):x.set(ne.locatorHash,{buildDirectives:Te.buildRequest.directives,buildLocations:[Te.packageLocation]}))}}let z=new Map;for(let ce of this.accessibleLocators){let ne=this.storedPackages.get(ce);if(!ne)throw new Error("Assertion failed: The locator should have been registered");let ee=this.tryWorkspaceByLocator(ne)!==null,we=async(xe,ht)=>{let H=v.get(ne.locatorHash);if(typeof H>"u")throw new Error(`Assertion failed: The package (${jr(this.configuration,ne)}) should have been registered`);let lt=[];for(let Te of ne.dependencies.values()){let ke=this.storedResolutions.get(Te.descriptorHash);if(typeof ke>"u")throw new Error(`Assertion failed: The resolution (${qn(this.configuration,Te)}, from ${jr(this.configuration,ne)})should have been registered`);let be=this.storedPackages.get(ke);if(typeof be>"u")throw new Error(`Assertion failed: The package (${ke}, resolved from ${qn(this.configuration,Te)}) should have been registered`);let _e=this.tryWorkspaceByLocator(be)===null?I.get(ke):null;if(typeof _e>"u")throw new Error(`Assertion failed: The package (${ke}, resolved from ${qn(this.configuration,Te)}) should have been registered`);_e===xe||_e===null?v.get(be.locatorHash)!==null&<.push([Te,be]):!ee&&H!==null&&qy(z,ke).push(H)}H!==null&&await ht.attachInternalDependencies(ne,lt)};if(ee)for(let[xe,ht]of C)xe.supportsPackage(ne,h)&&await we(xe,ht);else{let xe=I.get(ne.locatorHash);if(!xe)throw new Error("Assertion failed: The linker should have been found");let ht=C.get(xe);if(!ht)throw new Error("Assertion failed: The installer should have been registered");await we(xe,ht)}}for(let[ce,ne]of z){let ee=this.storedPackages.get(ce);if(!ee)throw new Error("Assertion failed: The package should have been registered");let we=I.get(ee.locatorHash);if(!we)throw new Error("Assertion failed: The linker should have been found");let xe=C.get(we);if(!xe)throw new Error("Assertion failed: The installer should have been registered");await xe.attachExternalDependents(ee,ne)}let te=new Map;for(let[ce,ne]of C){let ee=await ne.finalizeInstall();for(let we of ee?.records??[])we.buildRequest.skipped?(L.add(we.locator.locatorHash),this.skippedBuilds.has(we.locator.locatorHash)||U.push([we.locator,we.buildRequest.explain])):x.set(we.locator.locatorHash,{buildDirectives:we.buildRequest.directives,buildLocations:we.buildLocations});typeof ee?.customData<"u"&&te.set(ce.getCustomDataKey(),ee.customData)}if(this.linkersCustomData=te,await Uc(R),a==="skip-build")return;for(let[,ce]of ks(U,([ne])=>ba(ne)))ce(r);let le=new Set(this.storedPackages.keys()),he=new Set(x.keys());for(let ce of he)le.delete(ce);let Ae=(0,ek.createHash)("sha512");Ae.update(process.versions.node),await this.configuration.triggerHook(ce=>ce.globalHashGeneration,this,ce=>{Ae.update("\0"),Ae.update(ce)});let ye=Ae.digest("hex"),ae=new Map,Ie=ce=>{let ne=ae.get(ce.locatorHash);if(typeof ne<"u")return ne;let ee=this.storedPackages.get(ce.locatorHash);if(typeof ee>"u")throw new Error("Assertion failed: The package should have been registered");let we=(0,ek.createHash)("sha512");we.update(ce.locatorHash),ae.set(ce.locatorHash,"");for(let xe of ee.dependencies.values()){let ht=this.storedResolutions.get(xe.descriptorHash);if(typeof ht>"u")throw new Error(`Assertion failed: The resolution (${qn(this.configuration,xe)}) should have been registered`);let H=this.storedPackages.get(ht);if(typeof H>"u")throw new Error("Assertion failed: The package should have been registered");we.update(Ie(H))}return ne=we.digest("hex"),ae.set(ce.locatorHash,ne),ne},Fe=(ce,ne)=>{let ee=(0,ek.createHash)("sha512");ee.update(ye),ee.update(Ie(ce));for(let we of ne)ee.update(we);return ee.digest("hex")},g=new Map,Ee=!1,De=ce=>{let ne=new Set([ce.locatorHash]);for(let ee of ne){let we=this.storedPackages.get(ee);if(!we)throw new Error("Assertion failed: The package should have been registered");for(let xe of we.dependencies.values()){let ht=this.storedResolutions.get(xe.descriptorHash);if(!ht)throw new Error(`Assertion failed: The resolution (${qn(this.configuration,xe)}) should have been registered`);if(ht!==ce.locatorHash&&he.has(ht))return!1;let H=this.storedPackages.get(ht);if(!H)throw new Error("Assertion failed: The package should have been registered");let lt=this.tryWorkspaceByLocator(H);if(lt){if(lt.anchoredLocator.locatorHash!==ce.locatorHash&&he.has(lt.anchoredLocator.locatorHash))return!1;ne.add(lt.anchoredLocator.locatorHash)}ne.add(ht)}}return!0};for(;he.size>0;){let ce=he.size,ne=[];for(let ee of he){let we=this.storedPackages.get(ee);if(!we)throw new Error("Assertion failed: The package should have been registered");if(!De(we))continue;let xe=x.get(we.locatorHash);if(!xe)throw new Error("Assertion failed: The build directive should have been registered");let ht=Fe(we,xe.buildLocations);if(this.storedBuildState.get(we.locatorHash)===ht){g.set(we.locatorHash,ht),he.delete(ee);continue}Ee||(await this.persistInstallStateFile(),Ee=!0),this.storedBuildState.has(we.locatorHash)?r.reportInfo(8,`${jr(this.configuration,we)} must be rebuilt because its dependency tree changed`):r.reportInfo(7,`${jr(this.configuration,we)} must be built because it never has been before or the last one failed`);let H=xe.buildLocations.map(async lt=>{if(!V.isAbsolute(lt))throw new Error(`Assertion failed: Expected the build location to be absolute (not ${lt})`);for(let Te of xe.buildDirectives){let ke=`# This file contains the result of Yarn building a package (${ba(we)}) -`;switch(Te.type){case 0:ke+=`# Script name: ${Te.script} -`;break;case 1:ke+=`# Script code: ${Te.script} -`;break}let be=null;if(!await oe.mktempPromise(async Re=>{let ze=V.join(Re,"build.log"),{stdout:He,stderr:b}=this.configuration.getSubprocessStreams(ze,{header:ke,prefix:jr(this.configuration,we),report:r}),w;try{switch(Te.type){case 0:w=await Vb(we,Te.script,[],{cwd:lt,project:this,stdin:be,stdout:He,stderr:b});break;case 1:w=await wU(we,Te.script,[],{cwd:lt,project:this,stdin:be,stdout:He,stderr:b});break}}catch(F){b.write(F.stack),w=1}if(He.end(),b.end(),w===0)return!0;oe.detachTemp(Re);let S=`${jr(this.configuration,we)} couldn't be built successfully (exit code ${Mt(this.configuration,w,yt.NUMBER)}, logs can be found here: ${Mt(this.configuration,ze,yt.PATH)})`,y=this.optionalBuilds.has(we.locatorHash);return y?r.reportInfo(9,S):r.reportError(9,S),Jce&&r.reportFold(ue.fromPortablePath(ze),oe.readFileSync(ze,"utf8")),y}))return!1}return!0});ne.push(...H,Promise.allSettled(H).then(lt=>{he.delete(ee),lt.every(Te=>Te.status==="fulfilled"&&Te.value===!0)&&g.set(we.locatorHash,ht)}))}if(await Uc(ne),ce===he.size){let ee=Array.from(he).map(we=>{let xe=this.storedPackages.get(we);if(!xe)throw new Error("Assertion failed: The package should have been registered");return jr(this.configuration,xe)}).join(", ");r.reportError(3,`Some packages have circular dependencies that make their build order unsatisfiable - as a result they won't be built (affected packages are: ${ee})`);break}}this.storedBuildState=g,this.skippedBuilds=L}async installWithNewReport(e,r){return(await Nt.start({configuration:this.configuration,json:e.json,stdout:e.stdout,forceSectionAlignment:!0,includeLogs:!e.json&&!e.quiet,includeVersion:!0},async a=>{await this.install({...r,report:a})})).exitCode()}async install(e){let r=this.configuration.get("nodeLinker");Ke.telemetry?.reportInstall(r);let o=!1;if(await e.report.startTimerPromise("Project validation",{skipIfEmpty:!0},async()=>{this.configuration.get("enableOfflineMode")&&e.report.reportWarning(90,"Offline work is enabled; Yarn won't fetch packages from the remote registry if it can avoid it"),await this.configuration.triggerHook(C=>C.validateProject,this,{reportWarning:(C,I)=>{e.report.reportWarning(C,I)},reportError:(C,I)=>{e.report.reportError(C,I),o=!0}})}),o)return;let a=await this.configuration.getPackageExtensions();for(let C of a.values())for(let[,I]of C)for(let v of I)v.status="inactive";let n=V.join(this.cwd,dr.lockfile),u=null;if(e.immutable)try{u=await oe.readFilePromise(n,"utf8")}catch(C){throw C.code==="ENOENT"?new Jt(28,"The lockfile would have been created by this install, which is explicitly forbidden."):C}await e.report.startTimerPromise("Resolution step",async()=>{await this.resolveEverything(e)}),await e.report.startTimerPromise("Post-resolution validation",{skipIfEmpty:!0},async()=>{NAt(this,e.report);for(let[,C]of a)for(let[,I]of C)for(let v of I)if(v.userProvided){let x=Mt(this.configuration,v,yt.PACKAGE_EXTENSION);switch(v.status){case"inactive":e.report.reportWarning(68,`${x}: No matching package in the dependency tree; you may not need this rule anymore.`);break;case"redundant":e.report.reportWarning(69,`${x}: This rule seems redundant when applied on the original package; the extension may have been applied upstream.`);break}}if(u!==null){let C=Mg(u,this.generateLockfile());if(C!==u){let I=hpe(n,n,u,C,void 0,void 0,{maxEditLength:100});if(I){e.report.reportSeparator();for(let v of I.hunks){e.report.reportInfo(null,`@@ -${v.oldStart},${v.oldLines} 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this.element("prefix")||this.symbols,r=this.timers&&this.timers.prefix,o=this.state;return o.timer=r,Ra.isObject(e)&&(e=e[o.status]||e.pending),Ra.hasColor(e)?e:(this.styles[o.status]||this.styles.pending)(e)}async message(){let e=await this.element("message");return Ra.hasColor(e)?e:this.styles.strong(e)}async separator(){let e=await this.element("separator")||this.symbols,r=this.timers&&this.timers.separator,o=this.state;o.timer=r;let a=e[o.status]||e.pending||o.separator,n=await this.resolve(a,o);return Ra.isObject(n)&&(n=n[o.status]||n.pending),Ra.hasColor(n)?n:this.styles.muted(n)}async pointer(e,r){let o=await this.element("pointer",e,r);if(typeof o=="string"&&Ra.hasColor(o))return o;if(o){let a=this.styles,n=this.index===r,u=n?a.primary:h=>h,A=await this.resolve(o[n?"on":"off"]||o,this.state),p=Ra.hasColor(A)?A:u(A);return n?p:" ".repeat(A.length)}}async indicator(e,r){let o=await this.element("indicator",e,r);if(typeof o=="string"&&Ra.hasColor(o))return o;if(o){let a=this.styles,n=e.enabled===!0,u=n?a.success:a.dark,A=o[n?"on":"off"]||o;return Ra.hasColor(A)?A:u(A)}return""}body(){return null}footer(){if(this.state.status==="pending")return this.element("footer")}header(){if(this.state.status==="pending")return this.element("header")}async hint(){if(this.state.status==="pending"&&!this.isValue(this.state.input)){let e=await this.element("hint");return Ra.hasColor(e)?e:this.styles.muted(e)}}error(e){return this.state.submitted?"":e||this.state.error}format(e){return e}result(e){return e}validate(e){return this.options.required===!0?this.isValue(e):!0}isValue(e){return e!=null&&e!==""}resolve(e,...r){return Ra.resolve(this,e,...r)}get base(){return a2.prototype}get style(){return this.styles[this.state.status]}get height(){return this.options.rows||Ra.height(this.stdout,25)}get width(){return this.options.columns||Ra.width(this.stdout,80)}get size(){return{width:this.width,height:this.height}}set cursor(e){this.state.cursor=e}get cursor(){return this.state.cursor}set input(e){this.state.input=e}get input(){return this.state.input}set value(e){this.state.value=e}get value(){let{input:e,value:r}=this.state,o=[r,e].find(this.isValue.bind(this));return this.isValue(o)?o:this.initial}static get prompt(){return e=>new this(e).run()}};function aft(t){let e=a=>t[a]===void 0||typeof t[a]=="function",r=["actions","choices","initial","margin","roles","styles","symbols","theme","timers","value"],o=["body","footer","error","header","hint","indicator","message","prefix","separator","skip"];for(let a of Object.keys(t.options)){if(r.includes(a)||/^on[A-Z]/.test(a))continue;let n=t.options[a];typeof n=="function"&&e(a)?o.includes(a)||(t[a]=n.bind(t)):typeof t[a]!="function"&&(t[a]=n)}}function lft(t){typeof t=="number"&&(t=[t,t,t,t]);let e=[].concat(t||[]),r=a=>a%2===0?` -`:" ",o=[];for(let a=0;a<4;a++){let n=r(a);e[a]?o.push(n.repeat(e[a])):o.push("")}return o}khe.exports=a2});var Rhe=_((r8t,Fhe)=>{"use strict";var cft=No(),Qhe={default(t,e){return e},checkbox(t,e){throw new Error("checkbox role is not implemented yet")},editable(t,e){throw new Error("editable role is not implemented yet")},expandable(t,e){throw new Error("expandable role is not implemented yet")},heading(t,e){return e.disabled="",e.indicator=[e.indicator," "].find(r=>r!=null),e.message=e.message||"",e},input(t,e){throw new Error("input role is not implemented yet")},option(t,e){return Qhe.default(t,e)},radio(t,e){throw new Error("radio role is not implemented yet")},separator(t,e){return e.disabled="",e.indicator=[e.indicator," "].find(r=>r!=null),e.message=e.message||t.symbols.line.repeat(5),e},spacer(t,e){return e}};Fhe.exports=(t,e={})=>{let r=cft.merge({},Qhe,e.roles);return r[t]||r.default}});var l2=_((n8t,Lhe)=>{"use strict";var uft=Kc(),Aft=pC(),fft=Rhe(),lk=No(),{reorder:W_,scrollUp:pft,scrollDown:hft,isObject:The,swap:gft}=lk,K_=class extends Aft{constructor(e){super(e),this.cursorHide(),this.maxSelected=e.maxSelected||1/0,this.multiple=e.multiple||!1,this.initial=e.initial||0,this.delay=e.delay||0,this.longest=0,this.num=""}async initialize(){typeof this.options.initial=="function"&&(this.initial=await this.options.initial.call(this)),await this.reset(!0),await super.initialize()}async reset(){let{choices:e,initial:r,autofocus:o,suggest:a}=this.options;if(this.state._choices=[],this.state.choices=[],this.choices=await Promise.all(await this.toChoices(e)),this.choices.forEach(n=>n.enabled=!1),typeof a!="function"&&this.selectable.length===0)throw new Error("At least one choice must be selectable");The(r)&&(r=Object.keys(r)),Array.isArray(r)?(o!=null&&(this.index=this.findIndex(o)),r.forEach(n=>this.enable(this.find(n))),await this.render()):(o!=null&&(r=o),typeof r=="string"&&(r=this.findIndex(r)),typeof r=="number"&&r>-1&&(this.index=Math.max(0,Math.min(r,this.choices.length)),this.enable(this.find(this.index)))),this.isDisabled(this.focused)&&await this.down()}async toChoices(e,r){this.state.loadingChoices=!0;let o=[],a=0,n=async(u,A)=>{typeof u=="function"&&(u=await u.call(this)),u instanceof Promise&&(u=await u);for(let p=0;p(this.state.loadingChoices=!1,u))}async toChoice(e,r,o){if(typeof e=="function"&&(e=await e.call(this,this)),e instanceof Promise&&(e=await e),typeof e=="string"&&(e={name:e}),e.normalized)return e;e.normalized=!0;let a=e.value;if(e=fft(e.role,this.options)(this,e),typeof e.disabled=="string"&&!e.hint&&(e.hint=e.disabled,e.disabled=!0),e.disabled===!0&&e.hint==null&&(e.hint="(disabled)"),e.index!=null)return e;e.name=e.name||e.key||e.title||e.value||e.message,e.message=e.message||e.name||"",e.value=[e.value,e.name].find(this.isValue.bind(this)),e.input="",e.index=r,e.cursor=0,lk.define(e,"parent",o),e.level=o?o.level+1:1,e.indent==null&&(e.indent=o?o.indent+" ":e.indent||""),e.path=o?o.path+"."+e.name:e.name,e.enabled=!!(this.multiple&&!this.isDisabled(e)&&(e.enabled||this.isSelected(e))),this.isDisabled(e)||(this.longest=Math.max(this.longest,uft.unstyle(e.message).length));let u={...e};return e.reset=(A=u.input,p=u.value)=>{for(let h of Object.keys(u))e[h]=u[h];e.input=A,e.value=p},a==null&&typeof e.initial=="function"&&(e.input=await e.initial.call(this,this.state,e,r)),e}async onChoice(e,r){this.emit("choice",e,r,this),typeof e.onChoice=="function"&&await e.onChoice.call(this,this.state,e,r)}async addChoice(e,r,o){let a=await this.toChoice(e,r,o);return this.choices.push(a),this.index=this.choices.length-1,this.limit=this.choices.length,a}async newItem(e,r,o){let a={name:"New choice name?",editable:!0,newChoice:!0,...e},n=await this.addChoice(a,r,o);return n.updateChoice=()=>{delete n.newChoice,n.name=n.message=n.input,n.input="",n.cursor=0},this.render()}indent(e){return e.indent==null?e.level>1?" ".repeat(e.level-1):"":e.indent}dispatch(e,r){if(this.multiple&&this[r.name])return this[r.name]();this.alert()}focus(e,r){return typeof r!="boolean"&&(r=e.enabled),r&&!e.enabled&&this.selected.length>=this.maxSelected?this.alert():(this.index=e.index,e.enabled=r&&!this.isDisabled(e),e)}space(){return this.multiple?(this.toggle(this.focused),this.render()):this.alert()}a(){if(this.maxSelectedr.enabled);return this.choices.forEach(r=>r.enabled=!e),this.render()}i(){return this.choices.length-this.selected.length>this.maxSelected?this.alert():(this.choices.forEach(e=>e.enabled=!e.enabled),this.render())}g(e=this.focused){return this.choices.some(r=>!!r.parent)?(this.toggle(e.parent&&!e.choices?e.parent:e),this.render()):this.a()}toggle(e,r){if(!e.enabled&&this.selected.length>=this.maxSelected)return this.alert();typeof r!="boolean"&&(r=!e.enabled),e.enabled=r,e.choices&&e.choices.forEach(a=>this.toggle(a,r));let o=e.parent;for(;o;){let a=o.choices.filter(n=>this.isDisabled(n));o.enabled=a.every(n=>n.enabled===!0),o=o.parent}return Nhe(this,this.choices),this.emit("toggle",e,this),e}enable(e){return this.selected.length>=this.maxSelected?this.alert():(e.enabled=!this.isDisabled(e),e.choices&&e.choices.forEach(this.enable.bind(this)),e)}disable(e){return e.enabled=!1,e.choices&&e.choices.forEach(this.disable.bind(this)),e}number(e){this.num+=e;let r=o=>{let a=Number(o);if(a>this.choices.length-1)return this.alert();let n=this.focused,u=this.choices.find(A=>a===A.index);if(!u.enabled&&this.selected.length>=this.maxSelected)return this.alert();if(this.visible.indexOf(u)===-1){let A=W_(this.choices),p=A.indexOf(u);if(n.index>p){let h=A.slice(p,p+this.limit),C=A.filter(I=>!h.includes(I));this.choices=h.concat(C)}else{let h=p-this.limit+1;this.choices=A.slice(h).concat(A.slice(0,h))}}return this.index=this.choices.indexOf(u),this.toggle(this.focused),this.render()};return clearTimeout(this.numberTimeout),new Promise(o=>{let a=this.choices.length,n=this.num,u=(A=!1,p)=>{clearTimeout(this.numberTimeout),A&&(p=r(n)),this.num="",o(p)};if(n==="0"||n.length===1&&Number(n+"0")>a)return u(!0);if(Number(n)>a)return u(!1,this.alert());this.numberTimeout=setTimeout(()=>u(!0),this.delay)})}home(){return this.choices=W_(this.choices),this.index=0,this.render()}end(){let e=this.choices.length-this.limit,r=W_(this.choices);return this.choices=r.slice(e).concat(r.slice(0,e)),this.index=this.limit-1,this.render()}first(){return this.index=0,this.render()}last(){return this.index=this.visible.length-1,this.render()}prev(){return this.visible.length<=1?this.alert():this.up()}next(){return this.visible.length<=1?this.alert():this.down()}right(){return this.cursor>=this.input.length?this.alert():(this.cursor++,this.render())}left(){return this.cursor<=0?this.alert():(this.cursor--,this.render())}up(){let e=this.choices.length,r=this.visible.length,o=this.index;return this.options.scroll===!1&&o===0?this.alert():e>r&&o===0?this.scrollUp():(this.index=(o-1%e+e)%e,this.isDisabled()?this.up():this.render())}down(){let e=this.choices.length,r=this.visible.length,o=this.index;return this.options.scroll===!1&&o===r-1?this.alert():e>r&&o===r-1?this.scrollDown():(this.index=(o+1)%e,this.isDisabled()?this.down():this.render())}scrollUp(e=0){return this.choices=pft(this.choices),this.index=e,this.isDisabled()?this.up():this.render()}scrollDown(e=this.visible.length-1){return this.choices=hft(this.choices),this.index=e,this.isDisabled()?this.down():this.render()}async shiftUp(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index-1),await this.up(),this.sorting=!1;return}return this.scrollUp(this.index)}async shiftDown(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index+1),await this.down(),this.sorting=!1;return}return this.scrollDown(this.index)}pageUp(){return this.visible.length<=1?this.alert():(this.limit=Math.max(this.limit-1,0),this.index=Math.min(this.limit-1,this.index),this._limit=this.limit,this.isDisabled()?this.up():this.render())}pageDown(){return this.visible.length>=this.choices.length?this.alert():(this.index=Math.max(0,this.index),this.limit=Math.min(this.limit+1,this.choices.length),this._limit=this.limit,this.isDisabled()?this.down():this.render())}swap(e){gft(this.choices,this.index,e)}isDisabled(e=this.focused){return e&&["disabled","collapsed","hidden","completing","readonly"].some(o=>e[o]===!0)?!0:e&&e.role==="heading"}isEnabled(e=this.focused){if(Array.isArray(e))return e.every(r=>this.isEnabled(r));if(e.choices){let r=e.choices.filter(o=>!this.isDisabled(o));return e.enabled&&r.every(o=>this.isEnabled(o))}return e.enabled&&!this.isDisabled(e)}isChoice(e,r){return e.name===r||e.index===Number(r)}isSelected(e){return Array.isArray(this.initial)?this.initial.some(r=>this.isChoice(e,r)):this.isChoice(e,this.initial)}map(e=[],r="value"){return[].concat(e||[]).reduce((o,a)=>(o[a]=this.find(a,r),o),{})}filter(e,r){let a=typeof e=="function"?e:(A,p)=>[A.name,p].includes(e),u=(this.options.multiple?this.state._choices:this.choices).filter(a);return r?u.map(A=>A[r]):u}find(e,r){if(The(e))return r?e[r]:e;let a=typeof e=="function"?e:(u,A)=>[u.name,A].includes(e),n=this.choices.find(a);if(n)return r?n[r]:n}findIndex(e){return this.choices.indexOf(this.find(e))}async submit(){let e=this.focused;if(!e)return this.alert();if(e.newChoice)return e.input?(e.updateChoice(),this.render()):this.alert();if(this.choices.some(u=>u.newChoice))return this.alert();let{reorder:r,sort:o}=this.options,a=this.multiple===!0,n=this.selected;return n===void 0?this.alert():(Array.isArray(n)&&r!==!1&&o!==!0&&(n=lk.reorder(n)),this.value=a?n.map(u=>u.name):n.name,super.submit())}set choices(e=[]){this.state._choices=this.state._choices||[],this.state.choices=e;for(let r of e)this.state._choices.some(o=>o.name===r.name)||this.state._choices.push(r);if(!this._initial&&this.options.initial){this._initial=!0;let r=this.initial;if(typeof r=="string"||typeof r=="number"){let o=this.find(r);o&&(this.initial=o.index,this.focus(o,!0))}}}get choices(){return Nhe(this,this.state.choices||[])}set visible(e){this.state.visible=e}get visible(){return(this.state.visible||this.choices).slice(0,this.limit)}set limit(e){this.state.limit=e}get limit(){let{state:e,options:r,choices:o}=this,a=e.limit||this._limit||r.limit||o.length;return Math.min(a,this.height)}set value(e){super.value=e}get value(){return typeof super.value!="string"&&super.value===this.initial?this.input:super.value}set index(e){this.state.index=e}get index(){return Math.max(0,this.state?this.state.index:0)}get enabled(){return this.filter(this.isEnabled.bind(this))}get focused(){let e=this.choices[this.index];return e&&this.state.submitted&&this.multiple!==!0&&(e.enabled=!0),e}get selectable(){return this.choices.filter(e=>!this.isDisabled(e))}get selected(){return this.multiple?this.enabled:this.focused}};function Nhe(t,e){if(e instanceof Promise)return e;if(typeof e=="function"){if(lk.isAsyncFn(e))return e;e=e.call(t,t)}for(let r of e){if(Array.isArray(r.choices)){let o=r.choices.filter(a=>!t.isDisabled(a));r.enabled=o.every(a=>a.enabled===!0)}t.isDisabled(r)===!0&&delete r.enabled}return e}Lhe.exports=K_});var Sh=_((i8t,Ohe)=>{"use strict";var dft=l2(),V_=No(),z_=class extends dft{constructor(e){super(e),this.emptyError=this.options.emptyError||"No items were selected"}async dispatch(e,r){if(this.multiple)return this[r.name]?await this[r.name](e,r):await super.dispatch(e,r);this.alert()}separator(){if(this.options.separator)return super.separator();let e=this.styles.muted(this.symbols.ellipsis);return this.state.submitted?super.separator():e}pointer(e,r){return!this.multiple||this.options.pointer?super.pointer(e,r):""}indicator(e,r){return this.multiple?super.indicator(e,r):""}choiceMessage(e,r){let o=this.resolve(e.message,this.state,e,r);return e.role==="heading"&&!V_.hasColor(o)&&(o=this.styles.strong(o)),this.resolve(o,this.state,e,r)}choiceSeparator(){return":"}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=await this.pointer(e,r),n=await this.indicator(e,r)+(e.pad||""),u=await this.resolve(e.hint,this.state,e,r);u&&!V_.hasColor(u)&&(u=this.styles.muted(u));let A=this.indent(e),p=await this.choiceMessage(e,r),h=()=>[this.margin[3],A+a+n,p,this.margin[1],u].filter(Boolean).join(" ");return e.role==="heading"?h():e.disabled?(V_.hasColor(p)||(p=this.styles.disabled(p)),h()):(o&&(p=this.styles.em(p)),h())}async renderChoices(){if(this.state.loading==="choices")return this.styles.warning("Loading choices");if(this.state.submitted)return"";let e=this.visible.map(async(n,u)=>await this.renderChoice(n,u)),r=await Promise.all(e);r.length||r.push(this.styles.danger("No matching choices"));let o=this.margin[0]+r.join(` -`),a;return this.options.choicesHeader&&(a=await this.resolve(this.options.choicesHeader,this.state)),[a,o].filter(Boolean).join(` -`)}format(){return!this.state.submitted||this.state.cancelled?"":Array.isArray(this.selected)?this.selected.map(e=>this.styles.primary(e.name)).join(", "):this.styles.primary(this.selected.name)}async render(){let{submitted:e,size:r}=this.state,o="",a=await this.header(),n=await this.prefix(),u=await this.separator(),A=await this.message();this.options.promptLine!==!1&&(o=[n,A,u,""].join(" "),this.state.prompt=o);let p=await this.format(),h=await this.error()||await this.hint(),C=await this.renderChoices(),I=await this.footer();p&&(o+=p),h&&!o.includes(h)&&(o+=" "+h),e&&!p&&!C.trim()&&this.multiple&&this.emptyError!=null&&(o+=this.styles.danger(this.emptyError)),this.clear(r),this.write([a,o,C,I].filter(Boolean).join(` -`)),this.write(this.margin[2]),this.restore()}};Ohe.exports=z_});var Uhe=_((s8t,Mhe)=>{"use strict";var mft=Sh(),yft=(t,e)=>{let r=t.toLowerCase();return o=>{let n=o.toLowerCase().indexOf(r),u=e(o.slice(n,n+r.length));return n>=0?o.slice(0,n)+u+o.slice(n+r.length):o}},J_=class extends mft{constructor(e){super(e),this.cursorShow()}moveCursor(e){this.state.cursor+=e}dispatch(e){return this.append(e)}space(e){return this.options.multiple?super.space(e):this.append(e)}append(e){let{cursor:r,input:o}=this.state;return this.input=o.slice(0,r)+e+o.slice(r),this.moveCursor(1),this.complete()}delete(){let{cursor:e,input:r}=this.state;return r?(this.input=r.slice(0,e-1)+r.slice(e),this.moveCursor(-1),this.complete()):this.alert()}deleteForward(){let{cursor:e,input:r}=this.state;return r[e]===void 0?this.alert():(this.input=`${r}`.slice(0,e)+`${r}`.slice(e+1),this.complete())}number(e){return this.append(e)}async complete(){this.completing=!0,this.choices=await this.suggest(this.input,this.state._choices),this.state.limit=void 0,this.index=Math.min(Math.max(this.visible.length-1,0),this.index),await this.render(),this.completing=!1}suggest(e=this.input,r=this.state._choices){if(typeof this.options.suggest=="function")return this.options.suggest.call(this,e,r);let o=e.toLowerCase();return r.filter(a=>a.message.toLowerCase().includes(o))}pointer(){return""}format(){if(!this.focused)return this.input;if(this.options.multiple&&this.state.submitted)return this.selected.map(e=>this.styles.primary(e.message)).join(", ");if(this.state.submitted){let e=this.value=this.input=this.focused.value;return this.styles.primary(e)}return this.input}async render(){if(this.state.status!=="pending")return super.render();let e=this.options.highlight?this.options.highlight.bind(this):this.styles.placeholder,r=yft(this.input,e),o=this.choices;this.choices=o.map(a=>({...a,message:r(a.message)})),await super.render(),this.choices=o}submit(){return this.options.multiple&&(this.value=this.selected.map(e=>e.name)),super.submit()}};Mhe.exports=J_});var Z_=_((o8t,_he)=>{"use strict";var X_=No();_he.exports=(t,e={})=>{t.cursorHide();let{input:r="",initial:o="",pos:a,showCursor:n=!0,color:u}=e,A=u||t.styles.placeholder,p=X_.inverse(t.styles.primary),h=R=>p(t.styles.black(R)),C=r,I=" ",v=h(I);if(t.blink&&t.blink.off===!0&&(h=R=>R,v=""),n&&a===0&&o===""&&r==="")return h(I);if(n&&a===0&&(r===o||r===""))return h(o[0])+A(o.slice(1));o=X_.isPrimitive(o)?`${o}`:"",r=X_.isPrimitive(r)?`${r}`:"";let x=o&&o.startsWith(r)&&o!==r,E=x?h(o[r.length]):v;if(a!==r.length&&n===!0&&(C=r.slice(0,a)+h(r[a])+r.slice(a+1),E=""),n===!1&&(E=""),x){let R=t.styles.unstyle(C+E);return C+E+A(o.slice(R.length))}return C+E}});var ck=_((a8t,Hhe)=>{"use strict";var Eft=Kc(),Cft=Sh(),wft=Z_(),$_=class extends Cft{constructor(e){super({...e,multiple:!0}),this.type="form",this.initial=this.options.initial,this.align=[this.options.align,"right"].find(r=>r!=null),this.emptyError="",this.values={}}async reset(e){return await super.reset(),e===!0&&(this._index=this.index),this.index=this._index,this.values={},this.choices.forEach(r=>r.reset&&r.reset()),this.render()}dispatch(e){return!!e&&this.append(e)}append(e){let r=this.focused;if(!r)return this.alert();let{cursor:o,input:a}=r;return r.value=r.input=a.slice(0,o)+e+a.slice(o),r.cursor++,this.render()}delete(){let e=this.focused;if(!e||e.cursor<=0)return this.alert();let{cursor:r,input:o}=e;return e.value=e.input=o.slice(0,r-1)+o.slice(r),e.cursor--,this.render()}deleteForward(){let e=this.focused;if(!e)return this.alert();let{cursor:r,input:o}=e;if(o[r]===void 0)return this.alert();let a=`${o}`.slice(0,r)+`${o}`.slice(r+1);return e.value=e.input=a,this.render()}right(){let e=this.focused;return e?e.cursor>=e.input.length?this.alert():(e.cursor++,this.render()):this.alert()}left(){let e=this.focused;return e?e.cursor<=0?this.alert():(e.cursor--,this.render()):this.alert()}space(e,r){return this.dispatch(e,r)}number(e,r){return this.dispatch(e,r)}next(){let e=this.focused;if(!e)return this.alert();let{initial:r,input:o}=e;return r&&r.startsWith(o)&&o!==r?(e.value=e.input=r,e.cursor=e.value.length,this.render()):super.next()}prev(){let e=this.focused;return e?e.cursor===0?super.prev():(e.value=e.input="",e.cursor=0,this.render()):this.alert()}separator(){return""}format(e){return this.state.submitted?"":super.format(e)}pointer(){return""}indicator(e){return e.input?"\u29BF":"\u2299"}async choiceSeparator(e,r){let o=await this.resolve(e.separator,this.state,e,r)||":";return o?" 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":"")+C(e.hint.trim())),ae()}async submit(){return this.value=this.values,super.base.submit.call(this)}};Hhe.exports=$_});var e8=_((l8t,qhe)=>{"use strict";var Ift=ck(),Bft=()=>{throw new Error("expected prompt to have a custom authenticate method")},jhe=(t=Bft)=>{class e extends Ift{constructor(o){super(o)}async submit(){this.value=await t.call(this,this.values,this.state),super.base.submit.call(this)}static create(o){return jhe(o)}}return e};qhe.exports=jhe()});var Whe=_((c8t,Yhe)=>{"use strict";var vft=e8();function Dft(t,e){return t.username===this.options.username&&t.password===this.options.password}var Ghe=(t=Dft)=>{let e=[{name:"username",message:"username"},{name:"password",message:"password",format(o){return this.options.showPassword?o:(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(o.length))}}];class r extends vft.create(t){constructor(a){super({...a,choices:e})}static create(a){return Ghe(a)}}return r};Yhe.exports=Ghe()});var uk=_((u8t,Khe)=>{"use strict";var Pft=pC(),{isPrimitive:Sft,hasColor:bft}=No(),t8=class extends Pft{constructor(e){super(e),this.cursorHide()}async initialize(){let e=await this.resolve(this.initial,this.state);this.input=await this.cast(e),await super.initialize()}dispatch(e){return this.isValue(e)?(this.input=e,this.submit()):this.alert()}format(e){let{styles:r,state:o}=this;return o.submitted?r.success(e):r.primary(e)}cast(e){return this.isTrue(e)}isTrue(e){return/^[ty1]/i.test(e)}isFalse(e){return/^[fn0]/i.test(e)}isValue(e){return Sft(e)&&(this.isTrue(e)||this.isFalse(e))}async hint(){if(this.state.status==="pending"){let e=await this.element("hint");return bft(e)?e:this.styles.muted(e)}}async render(){let{input:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u=this.styles.muted(this.default),A=[o,n,u,a].filter(Boolean).join(" ");this.state.prompt=A;let p=await this.header(),h=this.value=this.cast(e),C=await this.format(h),I=await this.error()||await this.hint(),v=await this.footer();I&&!A.includes(I)&&(C+=" "+I),A+=" "+C,this.clear(r),this.write([p,A,v].filter(Boolean).join(` -`)),this.restore()}set value(e){super.value=e}get value(){return this.cast(super.value)}};Khe.exports=t8});var zhe=_((A8t,Vhe)=>{"use strict";var xft=uk(),r8=class extends xft{constructor(e){super(e),this.default=this.options.default||(this.initial?"(Y/n)":"(y/N)")}};Vhe.exports=r8});var Xhe=_((f8t,Jhe)=>{"use strict";var kft=Sh(),Qft=ck(),hC=Qft.prototype,n8=class extends kft{constructor(e){super({...e,multiple:!0}),this.align=[this.options.align,"left"].find(r=>r!=null),this.emptyError="",this.values={}}dispatch(e,r){let o=this.focused,a=o.parent||{};return!o.editable&&!a.editable&&(e==="a"||e==="i")?super[e]():hC.dispatch.call(this,e,r)}append(e,r){return hC.append.call(this,e,r)}delete(e,r){return hC.delete.call(this,e,r)}space(e){return this.focused.editable?this.append(e):super.space()}number(e){return this.focused.editable?this.append(e):super.number(e)}next(){return this.focused.editable?hC.next.call(this):super.next()}prev(){return this.focused.editable?hC.prev.call(this):super.prev()}async indicator(e,r){let o=e.indicator||"",a=e.editable?o:super.indicator(e,r);return await this.resolve(a,this.state,e,r)||""}indent(e){return e.role==="heading"?"":e.editable?" ":" "}async renderChoice(e,r){return e.indent="",e.editable?hC.renderChoice.call(this,e,r):super.renderChoice(e,r)}error(){return""}footer(){return this.state.error}async validate(){let e=!0;for(let r of this.choices){if(typeof r.validate!="function"||r.role==="heading")continue;let o=r.parent?this.value[r.parent.name]:this.value;if(r.editable?o=r.value===r.name?r.initial||"":r.value:this.isDisabled(r)||(o=r.enabled===!0),e=await r.validate(o,this.state),e!==!0)break}return e!==!0&&(this.state.error=typeof e=="string"?e:"Invalid Input"),e}submit(){if(this.focused.newChoice===!0)return super.submit();if(this.choices.some(e=>e.newChoice))return this.alert();this.value={};for(let e of this.choices){let r=e.parent?this.value[e.parent.name]:this.value;if(e.role==="heading"){this.value[e.name]={};continue}e.editable?r[e.name]=e.value===e.name?e.initial||"":e.value:this.isDisabled(e)||(r[e.name]=e.enabled===!0)}return this.base.submit.call(this)}};Jhe.exports=n8});var Gd=_((p8t,Zhe)=>{"use strict";var Fft=pC(),Rft=Z_(),{isPrimitive:Tft}=No(),i8=class extends Fft{constructor(e){super(e),this.initial=Tft(this.initial)?String(this.initial):"",this.initial&&this.cursorHide(),this.state.prevCursor=0,this.state.clipboard=[]}async keypress(e,r={}){let o=this.state.prevKeypress;return this.state.prevKeypress=r,this.options.multiline===!0&&r.name==="return"&&(!o||o.name!=="return")?this.append(` -`,r):super.keypress(e,r)}moveCursor(e){this.cursor+=e}reset(){return this.input=this.value="",this.cursor=0,this.render()}dispatch(e,r){if(!e||r.ctrl||r.code)return this.alert();this.append(e)}append(e){let{cursor:r,input:o}=this.state;this.input=`${o}`.slice(0,r)+e+`${o}`.slice(r),this.moveCursor(String(e).length),this.render()}insert(e){this.append(e)}delete(){let{cursor:e,input:r}=this.state;if(e<=0)return this.alert();this.input=`${r}`.slice(0,e-1)+`${r}`.slice(e),this.moveCursor(-1),this.render()}deleteForward(){let{cursor:e,input:r}=this.state;if(r[e]===void 0)return this.alert();this.input=`${r}`.slice(0,e)+`${r}`.slice(e+1),this.render()}cutForward(){let e=this.cursor;if(this.input.length<=e)return this.alert();this.state.clipboard.push(this.input.slice(e)),this.input=this.input.slice(0,e),this.render()}cutLeft(){let e=this.cursor;if(e===0)return this.alert();let r=this.input.slice(0,e),o=this.input.slice(e),a=r.split(" ");this.state.clipboard.push(a.pop()),this.input=a.join(" "),this.cursor=this.input.length,this.input+=o,this.render()}paste(){if(!this.state.clipboard.length)return this.alert();this.insert(this.state.clipboard.pop()),this.render()}toggleCursor(){this.state.prevCursor?(this.cursor=this.state.prevCursor,this.state.prevCursor=0):(this.state.prevCursor=this.cursor,this.cursor=0),this.render()}first(){this.cursor=0,this.render()}last(){this.cursor=this.input.length-1,this.render()}next(){let e=this.initial!=null?String(this.initial):"";if(!e||!e.startsWith(this.input))return this.alert();this.input=this.initial,this.cursor=this.initial.length,this.render()}prev(){if(!this.input)return this.alert();this.reset()}backward(){return this.left()}forward(){return this.right()}right(){return this.cursor>=this.input.length?this.alert():(this.moveCursor(1),this.render())}left(){return this.cursor<=0?this.alert():(this.moveCursor(-1),this.render())}isValue(e){return!!e}async format(e=this.value){let r=await this.resolve(this.initial,this.state);return this.state.submitted?this.styles.submitted(e||r):Rft(this,{input:e,initial:r,pos:this.cursor})}async render(){let e=this.state.size,r=await this.prefix(),o=await this.separator(),a=await this.message(),n=[r,a,o].filter(Boolean).join(" ");this.state.prompt=n;let u=await this.header(),A=await this.format(),p=await this.error()||await this.hint(),h=await this.footer();p&&!A.includes(p)&&(A+=" "+p),n+=" "+A,this.clear(e),this.write([u,n,h].filter(Boolean).join(` -`)),this.restore()}};Zhe.exports=i8});var e0e=_((h8t,$he)=>{"use strict";var Nft=t=>t.filter((e,r)=>t.lastIndexOf(e)===r),Ak=t=>Nft(t).filter(Boolean);$he.exports=(t,e={},r="")=>{let{past:o=[],present:a=""}=e,n,u;switch(t){case"prev":case"undo":return n=o.slice(0,o.length-1),u=o[o.length-1]||"",{past:Ak([r,...n]),present:u};case"next":case"redo":return n=o.slice(1),u=o[0]||"",{past:Ak([...n,r]),present:u};case"save":return{past:Ak([...o,r]),present:""};case"remove":return u=Ak(o.filter(A=>A!==r)),a="",u.length&&(a=u.pop()),{past:u,present:a};default:throw new Error(`Invalid action: "${t}"`)}}});var o8=_((g8t,r0e)=>{"use strict";var Lft=Gd(),t0e=e0e(),s8=class extends Lft{constructor(e){super(e);let r=this.options.history;if(r&&r.store){let o=r.values||this.initial;this.autosave=!!r.autosave,this.store=r.store,this.data=this.store.get("values")||{past:[],present:o},this.initial=this.data.present||this.data.past[this.data.past.length-1]}}completion(e){return this.store?(this.data=t0e(e,this.data,this.input),this.data.present?(this.input=this.data.present,this.cursor=this.input.length,this.render()):this.alert()):this.alert()}altUp(){return this.completion("prev")}altDown(){return this.completion("next")}prev(){return this.save(),super.prev()}save(){!this.store||(this.data=t0e("save",this.data,this.input),this.store.set("values",this.data))}submit(){return this.store&&this.autosave===!0&&this.save(),super.submit()}};r0e.exports=s8});var i0e=_((d8t,n0e)=>{"use strict";var Oft=Gd(),a8=class extends Oft{format(){return""}};n0e.exports=a8});var o0e=_((m8t,s0e)=>{"use strict";var Mft=Gd(),l8=class extends Mft{constructor(e={}){super(e),this.sep=this.options.separator||/, */,this.initial=e.initial||""}split(e=this.value){return e?String(e).split(this.sep):[]}format(){let e=this.state.submitted?this.styles.primary:r=>r;return this.list.map(e).join(", ")}async submit(e){let r=this.state.error||await this.validate(this.list,this.state);return r!==!0?(this.state.error=r,super.submit()):(this.value=this.list,super.submit())}get list(){return this.split()}};s0e.exports=l8});var l0e=_((y8t,a0e)=>{"use strict";var Uft=Sh(),c8=class extends Uft{constructor(e){super({...e,multiple:!0})}};a0e.exports=c8});var A8=_((E8t,c0e)=>{"use strict";var _ft=Gd(),u8=class extends _ft{constructor(e={}){super({style:"number",...e}),this.min=this.isValue(e.min)?this.toNumber(e.min):-1/0,this.max=this.isValue(e.max)?this.toNumber(e.max):1/0,this.delay=e.delay!=null?e.delay:1e3,this.float=e.float!==!1,this.round=e.round===!0||e.float===!1,this.major=e.major||10,this.minor=e.minor||1,this.initial=e.initial!=null?e.initial:"",this.input=String(this.initial),this.cursor=this.input.length,this.cursorShow()}append(e){return!/[-+.]/.test(e)||e==="."&&this.input.includes(".")?this.alert("invalid number"):super.append(e)}number(e){return super.append(e)}next(){return this.input&&this.input!==this.initial?this.alert():this.isValue(this.initial)?(this.input=this.initial,this.cursor=String(this.initial).length,this.render()):this.alert()}up(e){let r=e||this.minor,o=this.toNumber(this.input);return o>this.max+r?this.alert():(this.input=`${o+r}`,this.render())}down(e){let r=e||this.minor,o=this.toNumber(this.input);return othis.isValue(r));return this.value=this.toNumber(e||0),super.submit()}};c0e.exports=u8});var A0e=_((C8t,u0e)=>{u0e.exports=A8()});var p0e=_((w8t,f0e)=>{"use strict";var Hft=Gd(),f8=class extends Hft{constructor(e){super(e),this.cursorShow()}format(e=this.input){return this.keypressed?(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(e.length)):""}};f0e.exports=f8});var d0e=_((I8t,g0e)=>{"use strict";var jft=Kc(),qft=l2(),h0e=No(),p8=class extends qft{constructor(e={}){super(e),this.widths=[].concat(e.messageWidth||50),this.align=[].concat(e.align||"left"),this.linebreak=e.linebreak||!1,this.edgeLength=e.edgeLength||3,this.newline=e.newline||` - `;let r=e.startNumber||1;typeof this.scale=="number"&&(this.scaleKey=!1,this.scale=Array(this.scale).fill(0).map((o,a)=>({name:a+r})))}async reset(){return this.tableized=!1,await super.reset(),this.render()}tableize(){if(this.tableized===!0)return;this.tableized=!0;let e=0;for(let r of this.choices){e=Math.max(e,r.message.length),r.scaleIndex=r.initial||2,r.scale=[];for(let o=0;o=this.scale.length-1?this.alert():(e.scaleIndex++,this.render())}left(){let e=this.focused;return e.scaleIndex<=0?this.alert():(e.scaleIndex--,this.render())}indent(){return""}format(){return this.state.submitted?this.choices.map(r=>this.styles.info(r.index)).join(", "):""}pointer(){return""}renderScaleKey(){return this.scaleKey===!1||this.state.submitted?"":["",...this.scale.map(o=>` ${o.name} - ${o.message}`)].map(o=>this.styles.muted(o)).join(` -`)}renderScaleHeading(e){let r=this.scale.map(p=>p.name);typeof this.options.renderScaleHeading=="function"&&(r=this.options.renderScaleHeading.call(this,e));let o=this.scaleLength-r.join("").length,a=Math.round(o/(r.length-1)),u=r.map(p=>this.styles.strong(p)).join(" ".repeat(a)),A=" ".repeat(this.widths[0]);return this.margin[3]+A+this.margin[1]+u}scaleIndicator(e,r,o){if(typeof this.options.scaleIndicator=="function")return this.options.scaleIndicator.call(this,e,r,o);let a=e.scaleIndex===r.index;return r.disabled?this.styles.hint(this.symbols.radio.disabled):a?this.styles.success(this.symbols.radio.on):this.symbols.radio.off}renderScale(e,r){let o=e.scale.map(n=>this.scaleIndicator(e,n,r)),a=this.term==="Hyper"?"":" ";return o.join(a+this.symbols.line.repeat(this.edgeLength))}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=await this.pointer(e,r),n=await e.hint;n&&!h0e.hasColor(n)&&(n=this.styles.muted(n));let u=E=>this.margin[3]+E.replace(/\s+$/,"").padEnd(this.widths[0]," "),A=this.newline,p=this.indent(e),h=await this.resolve(e.message,this.state,e,r),C=await this.renderScale(e,r),I=this.margin[1]+this.margin[3];this.scaleLength=jft.unstyle(C).length,this.widths[0]=Math.min(this.widths[0],this.width-this.scaleLength-I.length);let x=h0e.wordWrap(h,{width:this.widths[0],newline:A}).split(` -`).map(E=>u(E)+this.margin[1]);return o&&(C=this.styles.info(C),x=x.map(E=>this.styles.info(E))),x[0]+=C,this.linebreak&&x.push(""),[p+a,x.join(` -`)].filter(Boolean)}async renderChoices(){if(this.state.submitted)return"";this.tableize();let e=this.visible.map(async(a,n)=>await this.renderChoice(a,n)),r=await Promise.all(e),o=await this.renderScaleHeading();return this.margin[0]+[o,...r.map(a=>a.join(" "))].join(` -`)}async render(){let{submitted:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u="";this.options.promptLine!==!1&&(u=[o,n,a,""].join(" "),this.state.prompt=u);let A=await this.header(),p=await this.format(),h=await this.renderScaleKey(),C=await this.error()||await this.hint(),I=await this.renderChoices(),v=await this.footer(),x=this.emptyError;p&&(u+=p),C&&!u.includes(C)&&(u+=" "+C),e&&!p&&!I.trim()&&this.multiple&&x!=null&&(u+=this.styles.danger(x)),this.clear(r),this.write([A,u,h,I,v].filter(Boolean).join(` -`)),this.state.submitted||this.write(this.margin[2]),this.restore()}submit(){this.value={};for(let e of this.choices)this.value[e.name]=e.scaleIndex;return this.base.submit.call(this)}};g0e.exports=p8});var E0e=_((B8t,y0e)=>{"use strict";var m0e=Kc(),Gft=(t="")=>typeof t=="string"?t.replace(/^['"]|['"]$/g,""):"",g8=class{constructor(e){this.name=e.key,this.field=e.field||{},this.value=Gft(e.initial||this.field.initial||""),this.message=e.message||this.name,this.cursor=0,this.input="",this.lines=[]}},Yft=async(t={},e={},r=o=>o)=>{let o=new Set,a=t.fields||[],n=t.template,u=[],A=[],p=[],h=1;typeof n=="function"&&(n=await n());let C=-1,I=()=>n[++C],v=()=>n[C+1],x=E=>{E.line=h,u.push(E)};for(x({type:"bos",value:""});Cle.name===U.key);U.field=a.find(le=>le.name===U.key),te||(te=new g8(U),A.push(te)),te.lines.push(U.line-1);continue}let R=u[u.length-1];R.type==="text"&&R.line===h?R.value+=E:x({type:"text",value:E})}return x({type:"eos",value:""}),{input:n,tabstops:u,unique:o,keys:p,items:A}};y0e.exports=async t=>{let e=t.options,r=new Set(e.required===!0?[]:e.required||[]),o={...e.values,...e.initial},{tabstops:a,items:n,keys:u}=await Yft(e,o),A=h8("result",t,e),p=h8("format",t,e),h=h8("validate",t,e,!0),C=t.isValue.bind(t);return async(I={},v=!1)=>{let x=0;I.required=r,I.items=n,I.keys=u,I.output="";let E=async(z,te,le,he)=>{let Ae=await h(z,te,le,he);return Ae===!1?"Invalid field "+le.name:Ae};for(let z of a){let te=z.value,le=z.key;if(z.type!=="template"){te&&(I.output+=te);continue}if(z.type==="template"){let he=n.find(Fe=>Fe.name===le);e.required===!0&&I.required.add(he.name);let Ae=[he.input,I.values[he.value],he.value,te].find(C),ae=(he.field||{}).message||z.inner;if(v){let Fe=await E(I.values[le],I,he,x);if(Fe&&typeof Fe=="string"||Fe===!1){I.invalid.set(le,Fe);continue}I.invalid.delete(le);let g=await A(I.values[le],I,he,x);I.output+=m0e.unstyle(g);continue}he.placeholder=!1;let Ie=te;te=await p(te,I,he,x),Ae!==te?(I.values[le]=Ae,te=t.styles.typing(Ae),I.missing.delete(ae)):(I.values[le]=void 0,Ae=`<${ae}>`,te=t.styles.primary(Ae),he.placeholder=!0,I.required.has(le)&&I.missing.add(ae)),I.missing.has(ae)&&I.validating&&(te=t.styles.warning(Ae)),I.invalid.has(le)&&I.validating&&(te=t.styles.danger(Ae)),x===I.index&&(Ie!==te?te=t.styles.underline(te):te=t.styles.heading(m0e.unstyle(te))),x++}te&&(I.output+=te)}let R=I.output.split(` -`).map(z=>" "+z),L=n.length,U=0;for(let z of n)I.invalid.has(z.name)&&z.lines.forEach(te=>{R[te][0]===" "&&(R[te]=I.styles.danger(I.symbols.bullet)+R[te].slice(1))}),t.isValue(I.values[z.name])&&U++;return I.completed=(U/L*100).toFixed(0),I.output=R.join(` -`),I.output}};function h8(t,e,r,o){return(a,n,u,A)=>typeof u.field[t]=="function"?u.field[t].call(e,a,n,u,A):[o,a].find(p=>e.isValue(p))}});var w0e=_((v8t,C0e)=>{"use strict";var Wft=Kc(),Kft=E0e(),Vft=pC(),d8=class extends Vft{constructor(e){super(e),this.cursorHide(),this.reset(!0)}async initialize(){this.interpolate=await Kft(this),await super.initialize()}async reset(e){this.state.keys=[],this.state.invalid=new Map,this.state.missing=new Set,this.state.completed=0,this.state.values={},e!==!0&&(await this.initialize(),await this.render())}moveCursor(e){let r=this.getItem();this.cursor+=e,r.cursor+=e}dispatch(e,r){if(!r.code&&!r.ctrl&&e!=null&&this.getItem()){this.append(e,r);return}this.alert()}append(e,r){let o=this.getItem(),a=o.input.slice(0,this.cursor),n=o.input.slice(this.cursor);this.input=o.input=`${a}${e}${n}`,this.moveCursor(1),this.render()}delete(){let e=this.getItem();if(this.cursor<=0||!e.input)return this.alert();let r=e.input.slice(this.cursor),o=e.input.slice(0,this.cursor-1);this.input=e.input=`${o}${r}`,this.moveCursor(-1),this.render()}increment(e){return e>=this.state.keys.length-1?0:e+1}decrement(e){return e<=0?this.state.keys.length-1:e-1}first(){this.state.index=0,this.render()}last(){this.state.index=this.state.keys.length-1,this.render()}right(){if(this.cursor>=this.input.length)return this.alert();this.moveCursor(1),this.render()}left(){if(this.cursor<=0)return this.alert();this.moveCursor(-1),this.render()}prev(){this.state.index=this.decrement(this.state.index),this.getItem(),this.render()}next(){this.state.index=this.increment(this.state.index),this.getItem(),this.render()}up(){this.prev()}down(){this.next()}format(e){let r=this.state.completed<100?this.styles.warning:this.styles.success;return this.state.submitted===!0&&this.state.completed!==100&&(r=this.styles.danger),r(`${this.state.completed}% completed`)}async render(){let{index:e,keys:r=[],submitted:o,size:a}=this.state,n=[this.options.newline,` -`].find(z=>z!=null),u=await this.prefix(),A=await this.separator(),p=await this.message(),h=[u,p,A].filter(Boolean).join(" ");this.state.prompt=h;let C=await this.header(),I=await this.error()||"",v=await this.hint()||"",x=o?"":await this.interpolate(this.state),E=this.state.key=r[e]||"",R=await this.format(E),L=await this.footer();R&&(h+=" "+R),v&&!R&&this.state.completed===0&&(h+=" "+v),this.clear(a);let U=[C,h,x,L,I.trim()];this.write(U.filter(Boolean).join(n)),this.restore()}getItem(e){let{items:r,keys:o,index:a}=this.state,n=r.find(u=>u.name===o[a]);return n&&n.input!=null&&(this.input=n.input,this.cursor=n.cursor),n}async submit(){typeof this.interpolate!="function"&&await this.initialize(),await this.interpolate(this.state,!0);let{invalid:e,missing:r,output:o,values:a}=this.state;if(e.size){let A="";for(let[p,h]of e)A+=`Invalid ${p}: ${h} -`;return this.state.error=A,super.submit()}if(r.size)return this.state.error="Required: "+[...r.keys()].join(", "),super.submit();let u=Wft.unstyle(o).split(` -`).map(A=>A.slice(1)).join(` -`);return this.value={values:a,result:u},super.submit()}};C0e.exports=d8});var B0e=_((D8t,I0e)=>{"use strict";var zft="(Use + to sort)",Jft=Sh(),m8=class extends Jft{constructor(e){super({...e,reorder:!1,sort:!0,multiple:!0}),this.state.hint=[this.options.hint,zft].find(this.isValue.bind(this))}indicator(){return""}async renderChoice(e,r){let o=await super.renderChoice(e,r),a=this.symbols.identicalTo+" ",n=this.index===r&&this.sorting?this.styles.muted(a):" ";return this.options.drag===!1&&(n=""),this.options.numbered===!0?n+`${r+1} - `+o:n+o}get selected(){return this.choices}submit(){return this.value=this.choices.map(e=>e.value),super.submit()}};I0e.exports=m8});var D0e=_((P8t,v0e)=>{"use strict";var Xft=l2(),y8=class extends Xft{constructor(e={}){if(super(e),this.emptyError=e.emptyError||"No items were selected",this.term=process.env.TERM_PROGRAM,!this.options.header){let r=["","4 - Strongly Agree","3 - Agree","2 - Neutral","1 - Disagree","0 - Strongly Disagree",""];r=r.map(o=>this.styles.muted(o)),this.state.header=r.join(` - `)}}async toChoices(...e){if(this.createdScales)return!1;this.createdScales=!0;let r=await super.toChoices(...e);for(let o of r)o.scale=Zft(5,this.options),o.scaleIdx=2;return r}dispatch(){this.alert()}space(){let e=this.focused,r=e.scale[e.scaleIdx],o=r.selected;return e.scale.forEach(a=>a.selected=!1),r.selected=!o,this.render()}indicator(){return""}pointer(){return""}separator(){return this.styles.muted(this.symbols.ellipsis)}right(){let e=this.focused;return e.scaleIdx>=e.scale.length-1?this.alert():(e.scaleIdx++,this.render())}left(){let e=this.focused;return e.scaleIdx<=0?this.alert():(e.scaleIdx--,this.render())}indent(){return" "}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=this.term==="Hyper",n=a?9:8,u=a?"":" ",A=this.symbols.line.repeat(n),p=" ".repeat(n+(a?0:1)),h=te=>(te?this.styles.success("\u25C9"):"\u25EF")+u,C=r+1+".",I=o?this.styles.heading:this.styles.noop,v=await this.resolve(e.message,this.state,e,r),x=this.indent(e),E=x+e.scale.map((te,le)=>h(le===e.scaleIdx)).join(A),R=te=>te===e.scaleIdx?I(te):te,L=x+e.scale.map((te,le)=>R(le)).join(p),U=()=>[C,v].filter(Boolean).join(" "),z=()=>[U(),E,L," "].filter(Boolean).join(` -`);return o&&(E=this.styles.cyan(E),L=this.styles.cyan(L)),z()}async renderChoices(){if(this.state.submitted)return"";let e=this.visible.map(async(o,a)=>await this.renderChoice(o,a)),r=await Promise.all(e);return r.length||r.push(this.styles.danger("No matching choices")),r.join(` -`)}format(){return this.state.submitted?this.choices.map(r=>this.styles.info(r.scaleIdx)).join(", "):""}async render(){let{submitted:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u=[o,n,a].filter(Boolean).join(" ");this.state.prompt=u;let A=await this.header(),p=await this.format(),h=await this.error()||await this.hint(),C=await this.renderChoices(),I=await this.footer();(p||!h)&&(u+=" "+p),h&&!u.includes(h)&&(u+=" "+h),e&&!p&&!C&&this.multiple&&this.type!=="form"&&(u+=this.styles.danger(this.emptyError)),this.clear(r),this.write([u,A,C,I].filter(Boolean).join(` -`)),this.restore()}submit(){this.value={};for(let e of this.choices)this.value[e.name]=e.scaleIdx;return this.base.submit.call(this)}};function Zft(t,e={}){if(Array.isArray(e.scale))return e.scale.map(o=>({...o}));let r=[];for(let o=1;o{P0e.exports=o8()});var x0e=_((b8t,b0e)=>{"use strict";var $ft=uk(),E8=class extends $ft{async initialize(){await super.initialize(),this.value=this.initial=!!this.options.initial,this.disabled=this.options.disabled||"no",this.enabled=this.options.enabled||"yes",await this.render()}reset(){this.value=this.initial,this.render()}delete(){this.alert()}toggle(){this.value=!this.value,this.render()}enable(){if(this.value===!0)return this.alert();this.value=!0,this.render()}disable(){if(this.value===!1)return this.alert();this.value=!1,this.render()}up(){this.toggle()}down(){this.toggle()}right(){this.toggle()}left(){this.toggle()}next(){this.toggle()}prev(){this.toggle()}dispatch(e="",r){switch(e.toLowerCase()){case" ":return this.toggle();case"1":case"y":case"t":return this.enable();case"0":case"n":case"f":return this.disable();default:return this.alert()}}format(){let e=o=>this.styles.primary.underline(o);return[this.value?this.disabled:e(this.disabled),this.value?e(this.enabled):this.enabled].join(this.styles.muted(" / "))}async render(){let{size:e}=this.state,r=await this.header(),o=await this.prefix(),a=await this.separator(),n=await this.message(),u=await this.format(),A=await this.error()||await this.hint(),p=await this.footer(),h=[o,n,a,u].join(" ");this.state.prompt=h,A&&!h.includes(A)&&(h+=" "+A),this.clear(e),this.write([r,h,p].filter(Boolean).join(` -`)),this.write(this.margin[2]),this.restore()}};b0e.exports=E8});var Q0e=_((x8t,k0e)=>{"use strict";var ept=Sh(),C8=class extends ept{constructor(e){if(super(e),typeof this.options.correctChoice!="number"||this.options.correctChoice<0)throw new Error("Please specify the index of the correct answer from the list of choices")}async toChoices(e,r){let o=await super.toChoices(e,r);if(o.length<2)throw new Error("Please give at least two choices to the user");if(this.options.correctChoice>o.length)throw new Error("Please specify the index of the correct answer from the list of choices");return o}check(e){return e.index===this.options.correctChoice}async result(e){return{selectedAnswer:e,correctAnswer:this.options.choices[this.options.correctChoice].value,correct:await this.check(this.state)}}};k0e.exports=C8});var R0e=_(w8=>{"use strict";var F0e=No(),As=(t,e)=>{F0e.defineExport(w8,t,e),F0e.defineExport(w8,t.toLowerCase(),e)};As("AutoComplete",()=>Uhe());As("BasicAuth",()=>Whe());As("Confirm",()=>zhe());As("Editable",()=>Xhe());As("Form",()=>ck());As("Input",()=>o8());As("Invisible",()=>i0e());As("List",()=>o0e());As("MultiSelect",()=>l0e());As("Numeral",()=>A0e());As("Password",()=>p0e());As("Scale",()=>d0e());As("Select",()=>Sh());As("Snippet",()=>w0e());As("Sort",()=>B0e());As("Survey",()=>D0e());As("Text",()=>S0e());As("Toggle",()=>x0e());As("Quiz",()=>Q0e())});var N0e=_((Q8t,T0e)=>{T0e.exports={ArrayPrompt:l2(),AuthPrompt:e8(),BooleanPrompt:uk(),NumberPrompt:A8(),StringPrompt:Gd()}});var u2=_((F8t,O0e)=>{"use strict";var L0e=Be("assert"),B8=Be("events"),bh=No(),zc=class extends B8{constructor(e,r){super(),this.options=bh.merge({},e),this.answers={...r}}register(e,r){if(bh.isObject(e)){for(let a of Object.keys(e))this.register(a,e[a]);return this}L0e.equal(typeof r,"function","expected a function");let o=e.toLowerCase();return r.prototype instanceof this.Prompt?this.prompts[o]=r:this.prompts[o]=r(this.Prompt,this),this}async prompt(e=[]){for(let r of[].concat(e))try{typeof r=="function"&&(r=await r.call(this)),await this.ask(bh.merge({},this.options,r))}catch(o){return Promise.reject(o)}return this.answers}async ask(e){typeof e=="function"&&(e=await e.call(this));let r=bh.merge({},this.options,e),{type:o,name:a}=e,{set:n,get:u}=bh;if(typeof o=="function"&&(o=await o.call(this,e,this.answers)),!o)return this.answers[a];L0e(this.prompts[o],`Prompt "${o}" is not registered`);let A=new this.prompts[o](r),p=u(this.answers,a);A.state.answers=this.answers,A.enquirer=this,a&&A.on("submit",C=>{this.emit("answer",a,C,A),n(this.answers,a,C)});let h=A.emit.bind(A);return A.emit=(...C)=>(this.emit.call(this,...C),h(...C)),this.emit("prompt",A,this),r.autofill&&p!=null?(A.value=A.input=p,r.autofill==="show"&&await A.submit()):p=A.value=await A.run(),p}use(e){return e.call(this,this),this}set Prompt(e){this._Prompt=e}get Prompt(){return this._Prompt||this.constructor.Prompt}get prompts(){return this.constructor.prompts}static set Prompt(e){this._Prompt=e}static get Prompt(){return this._Prompt||pC()}static get prompts(){return R0e()}static get types(){return N0e()}static get prompt(){let e=(r,...o)=>{let a=new this(...o),n=a.emit.bind(a);return a.emit=(...u)=>(e.emit(...u),n(...u)),a.prompt(r)};return bh.mixinEmitter(e,new B8),e}};bh.mixinEmitter(zc,new B8);var I8=zc.prompts;for(let t of Object.keys(I8)){let e=t.toLowerCase(),r=o=>new I8[t](o).run();zc.prompt[e]=r,zc[e]=r,zc[t]||Reflect.defineProperty(zc,t,{get:()=>I8[t]})}var c2=t=>{bh.defineExport(zc,t,()=>zc.types[t])};c2("ArrayPrompt");c2("AuthPrompt");c2("BooleanPrompt");c2("NumberPrompt");c2("StringPrompt");O0e.exports=zc});var h2=_((hHt,G0e)=>{var opt=Zx();function apt(t,e,r){var o=t==null?void 0:opt(t,e);return o===void 0?r:o}G0e.exports=apt});var K0e=_((CHt,W0e)=>{function lpt(t,e){for(var r=-1,o=t==null?0:t.length;++r{var cpt=hd(),upt=JP();function Apt(t,e){return t&&cpt(e,upt(e),t)}V0e.exports=Apt});var X0e=_((IHt,J0e)=>{var fpt=hd(),ppt=jy();function hpt(t,e){return t&&fpt(e,ppt(e),t)}J0e.exports=hpt});var $0e=_((BHt,Z0e)=>{var gpt=hd(),dpt=GP();function mpt(t,e){return gpt(t,dpt(t),e)}Z0e.exports=mpt});var x8=_((vHt,ege)=>{var ypt=qP(),Ept=tS(),Cpt=GP(),wpt=VN(),Ipt=Object.getOwnPropertySymbols,Bpt=Ipt?function(t){for(var e=[];t;)ypt(e,Cpt(t)),t=Ept(t);return e}:wpt;ege.exports=Bpt});var rge=_((DHt,tge)=>{var vpt=hd(),Dpt=x8();function Ppt(t,e){return vpt(t,Dpt(t),e)}tge.exports=Ppt});var k8=_((PHt,nge)=>{var Spt=KN(),bpt=x8(),xpt=jy();function 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Module)Module.hasOwnProperty(key)&&(moduleOverrides[key]=Module[key]);var ENVIRONMENT_IS_WEB=!1,ENVIRONMENT_IS_WORKER=!1,ENVIRONMENT_IS_NODE=!1,ENVIRONMENT_IS_SHELL=!1;if(Module.ENVIRONMENT)if(Module.ENVIRONMENT==="WEB")ENVIRONMENT_IS_WEB=!0;else if(Module.ENVIRONMENT==="WORKER")ENVIRONMENT_IS_WORKER=!0;else if(Module.ENVIRONMENT==="NODE")ENVIRONMENT_IS_NODE=!0;else if(Module.ENVIRONMENT==="SHELL")ENVIRONMENT_IS_SHELL=!0;else throw new Error("The provided Module['ENVIRONMENT'] value is not valid. It must be one of: WEB|WORKER|NODE|SHELL.");else ENVIRONMENT_IS_WEB=typeof window=="object",ENVIRONMENT_IS_WORKER=typeof importScripts=="function",ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof Be=="function"&&!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_WORKER,ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;if(ENVIRONMENT_IS_NODE){Module.print||(Module.print=console.log),Module.printErr||(Module.printErr=console.warn);var nodeFS,nodePath;Module.read=function(e,r){nodeFS||(nodeFS={}("")),nodePath||(nodePath={}("")),e=nodePath.normalize(e);var o=nodeFS.readFileSync(e);return r?o:o.toString()},Module.readBinary=function(e){var r=Module.read(e,!0);return r.buffer||(r=new Uint8Array(r)),assert(r.buffer),r},Module.load=function(e){globalEval(read(e))},Module.thisProgram||(process.argv.length>1?Module.thisProgram=process.argv[1].replace(/\\/g,"/"):Module.thisProgram="unknown-program"),Module.arguments=process.argv.slice(2),typeof module<"u"&&(module.exports=Module),Module.inspect=function(){return"[Emscripten Module object]"}}else if(ENVIRONMENT_IS_SHELL)Module.print||(Module.print=print),typeof printErr<"u"&&(Module.printErr=printErr),typeof read<"u"?Module.read=read:Module.read=function(){throw"no read() available"},Module.readBinary=function(e){if(typeof readbuffer=="function")return new Uint8Array(readbuffer(e));var r=read(e,"binary");return assert(typeof r=="object"),r},typeof scriptArgs<"u"?Module.arguments=scriptArgs:typeof arguments<"u"&&(Module.arguments=arguments),typeof quit=="function"&&(Module.quit=function(t,e){quit(t)});else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(Module.read=function(e){var r=new XMLHttpRequest;return r.open("GET",e,!1),r.send(null),r.responseText},ENVIRONMENT_IS_WORKER&&(Module.readBinary=function(e){var r=new XMLHttpRequest;return r.open("GET",e,!1),r.responseType="arraybuffer",r.send(null),new Uint8Array(r.response)}),Module.readAsync=function(e,r,o){var a=new XMLHttpRequest;a.open("GET",e,!0),a.responseType="arraybuffer",a.onload=function(){a.status==200||a.status==0&&a.response?r(a.response):o()},a.onerror=o,a.send(null)},typeof arguments<"u"&&(Module.arguments=arguments),typeof console<"u")Module.print||(Module.print=function(e){console.log(e)}),Module.printErr||(Module.printErr=function(e){console.warn(e)});else{var TRY_USE_DUMP=!1;Module.print||(Module.print=TRY_USE_DUMP&&typeof dump<"u"?function(t){dump(t)}:function(t){})}ENVIRONMENT_IS_WORKER&&(Module.load=importScripts),typeof Module.setWindowTitle>"u"&&(Module.setWindowTitle=function(t){document.title=t})}else throw"Unknown runtime environment. Where are we?";function globalEval(t){eval.call(null,t)}!Module.load&&Module.read&&(Module.load=function(e){globalEval(Module.read(e))}),Module.print||(Module.print=function(){}),Module.printErr||(Module.printErr=Module.print),Module.arguments||(Module.arguments=[]),Module.thisProgram||(Module.thisProgram="./this.program"),Module.quit||(Module.quit=function(t,e){throw e}),Module.print=Module.print,Module.printErr=Module.printErr,Module.preRun=[],Module.postRun=[];for(var key in moduleOverrides)moduleOverrides.hasOwnProperty(key)&&(Module[key]=moduleOverrides[key]);moduleOverrides=void 0;var Runtime={setTempRet0:function(t){return tempRet0=t,t},getTempRet0:function(){return tempRet0},stackSave:function(){return STACKTOP},stackRestore:function(t){STACKTOP=t},getNativeTypeSize:function(t){switch(t){case"i1":case"i8":return 1;case"i16":return 2;case"i32":return 4;case"i64":return 8;case"float":return 4;case"double":return 8;default:{if(t[t.length-1]==="*")return Runtime.QUANTUM_SIZE;if(t[0]==="i"){var e=parseInt(t.substr(1));return assert(e%8===0),e/8}else return 0}}},getNativeFieldSize:function(t){return Math.max(Runtime.getNativeTypeSize(t),Runtime.QUANTUM_SIZE)},STACK_ALIGN:16,prepVararg:function(t,e){return e==="double"||e==="i64"?t&7&&(assert((t&7)===4),t+=4):assert((t&3)===0),t},getAlignSize:function(t,e,r){return!r&&(t=="i64"||t=="double")?8:t?Math.min(e||(t?Runtime.getNativeFieldSize(t):0),Runtime.QUANTUM_SIZE):Math.min(e,8)},dynCall:function(t,e,r){return r&&r.length?Module["dynCall_"+t].apply(null,[e].concat(r)):Module["dynCall_"+t].call(null,e)},functionPointers:[],addFunction:function(t){for(var e=0;e>2],r=(e+t+15|0)&-16;if(HEAP32[DYNAMICTOP_PTR>>2]=r,r>=TOTAL_MEMORY){var o=enlargeMemory();if(!o)return HEAP32[DYNAMICTOP_PTR>>2]=e,0}return e},alignMemory:function(t,e){var r=t=Math.ceil(t/(e||16))*(e||16);return r},makeBigInt:function(t,e,r){var o=r?+(t>>>0)+ +(e>>>0)*4294967296:+(t>>>0)+ +(e|0)*4294967296;return o},GLOBAL_BASE:8,QUANTUM_SIZE:4,__dummy__:0};Module.Runtime=Runtime;var ABORT=0,EXITSTATUS=0;function assert(t,e){t||abort("Assertion failed: "+e)}function getCFunc(ident){var func=Module["_"+ident];if(!func)try{func=eval("_"+ident)}catch(t){}return assert(func,"Cannot call unknown function "+ident+" (perhaps LLVM optimizations or closure removed it?)"),func}var cwrap,ccall;(function(){var JSfuncs={stackSave:function(){Runtime.stackSave()},stackRestore:function(){Runtime.stackRestore()},arrayToC:function(t){var e=Runtime.stackAlloc(t.length);return writeArrayToMemory(t,e),e},stringToC:function(t){var e=0;if(t!=null&&t!==0){var r=(t.length<<2)+1;e=Runtime.stackAlloc(r),stringToUTF8(t,e,r)}return e}},toC={string:JSfuncs.stringToC,array:JSfuncs.arrayToC};ccall=function(e,r,o,a,n){var u=getCFunc(e),A=[],p=0;if(a)for(var h=0;h>0]=e;break;case"i8":HEAP8[t>>0]=e;break;case"i16":HEAP16[t>>1]=e;break;case"i32":HEAP32[t>>2]=e;break;case"i64":tempI64=[e>>>0,(tempDouble=e,+Math_abs(tempDouble)>=1?tempDouble>0?(Math_min(+Math_floor(tempDouble/4294967296),4294967295)|0)>>>0:~~+Math_ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],HEAP32[t>>2]=tempI64[0],HEAP32[t+4>>2]=tempI64[1];break;case"float":HEAPF32[t>>2]=e;break;case"double":HEAPF64[t>>3]=e;break;default:abort("invalid type for setValue: "+r)}}Module.setValue=setValue;function getValue(t,e,r){switch(e=e||"i8",e.charAt(e.length-1)==="*"&&(e="i32"),e){case"i1":return HEAP8[t>>0];case"i8":return HEAP8[t>>0];case"i16":return HEAP16[t>>1];case"i32":return HEAP32[t>>2];case"i64":return HEAP32[t>>2];case"float":return HEAPF32[t>>2];case"double":return HEAPF64[t>>3];default:abort("invalid type for setValue: "+e)}return null}Module.getValue=getValue;var ALLOC_NORMAL=0,ALLOC_STACK=1,ALLOC_STATIC=2,ALLOC_DYNAMIC=3,ALLOC_NONE=4;Module.ALLOC_NORMAL=ALLOC_NORMAL,Module.ALLOC_STACK=ALLOC_STACK,Module.ALLOC_STATIC=ALLOC_STATIC,Module.ALLOC_DYNAMIC=ALLOC_DYNAMIC,Module.ALLOC_NONE=ALLOC_NONE;function allocate(t,e,r,o){var a,n;typeof t=="number"?(a=!0,n=t):(a=!1,n=t.length);var u=typeof e=="string"?e:null,A;if(r==ALLOC_NONE?A=o:A=[typeof _malloc=="function"?_malloc:Runtime.staticAlloc,Runtime.stackAlloc,Runtime.staticAlloc,Runtime.dynamicAlloc][r===void 0?ALLOC_STATIC:r](Math.max(n,u?1:e.length)),a){var o=A,p;for(assert((A&3)==0),p=A+(n&-4);o>2]=0;for(p=A+n;o>0]=0;return A}if(u==="i8")return t.subarray||t.slice?HEAPU8.set(t,A):HEAPU8.set(new Uint8Array(t),A),A;for(var h=0,C,I,v;h>0],r|=o,!(o==0&&!e||(a++,e&&a==e)););e||(e=a);var n="";if(r<128){for(var u=1024,A;e>0;)A=String.fromCharCode.apply(String,HEAPU8.subarray(t,t+Math.min(e,u))),n=n?n+A:A,t+=u,e-=u;return n}return Module.UTF8ToString(t)}Module.Pointer_stringify=Pointer_stringify;function AsciiToString(t){for(var e="";;){var r=HEAP8[t++>>0];if(!r)return e;e+=String.fromCharCode(r)}}Module.AsciiToString=AsciiToString;function stringToAscii(t,e){return writeAsciiToMemory(t,e,!1)}Module.stringToAscii=stringToAscii;var UTF8Decoder=typeof TextDecoder<"u"?new TextDecoder("utf8"):void 0;function UTF8ArrayToString(t,e){for(var r=e;t[r];)++r;if(r-e>16&&t.subarray&&UTF8Decoder)return UTF8Decoder.decode(t.subarray(e,r));for(var o,a,n,u,A,p,h="";;){if(o=t[e++],!o)return h;if(!(o&128)){h+=String.fromCharCode(o);continue}if(a=t[e++]&63,(o&224)==192){h+=String.fromCharCode((o&31)<<6|a);continue}if(n=t[e++]&63,(o&240)==224?o=(o&15)<<12|a<<6|n:(u=t[e++]&63,(o&248)==240?o=(o&7)<<18|a<<12|n<<6|u:(A=t[e++]&63,(o&252)==248?o=(o&3)<<24|a<<18|n<<12|u<<6|A:(p=t[e++]&63,o=(o&1)<<30|a<<24|n<<18|u<<12|A<<6|p))),o<65536)h+=String.fromCharCode(o);else{var C=o-65536;h+=String.fromCharCode(55296|C>>10,56320|C&1023)}}}Module.UTF8ArrayToString=UTF8ArrayToString;function UTF8ToString(t){return UTF8ArrayToString(HEAPU8,t)}Module.UTF8ToString=UTF8ToString;function stringToUTF8Array(t,e,r,o){if(!(o>0))return 0;for(var a=r,n=r+o-1,u=0;u=55296&&A<=57343&&(A=65536+((A&1023)<<10)|t.charCodeAt(++u)&1023),A<=127){if(r>=n)break;e[r++]=A}else if(A<=2047){if(r+1>=n)break;e[r++]=192|A>>6,e[r++]=128|A&63}else if(A<=65535){if(r+2>=n)break;e[r++]=224|A>>12,e[r++]=128|A>>6&63,e[r++]=128|A&63}else if(A<=2097151){if(r+3>=n)break;e[r++]=240|A>>18,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}else if(A<=67108863){if(r+4>=n)break;e[r++]=248|A>>24,e[r++]=128|A>>18&63,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}else{if(r+5>=n)break;e[r++]=252|A>>30,e[r++]=128|A>>24&63,e[r++]=128|A>>18&63,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}}return e[r]=0,r-a}Module.stringToUTF8Array=stringToUTF8Array;function stringToUTF8(t,e,r){return stringToUTF8Array(t,HEAPU8,e,r)}Module.stringToUTF8=stringToUTF8;function lengthBytesUTF8(t){for(var e=0,r=0;r=55296&&o<=57343&&(o=65536+((o&1023)<<10)|t.charCodeAt(++r)&1023),o<=127?++e:o<=2047?e+=2:o<=65535?e+=3:o<=2097151?e+=4:o<=67108863?e+=5:e+=6}return e}Module.lengthBytesUTF8=lengthBytesUTF8;var UTF16Decoder=typeof TextDecoder<"u"?new TextDecoder("utf-16le"):void 0;function demangle(t){var e=Module.___cxa_demangle||Module.__cxa_demangle;if(e){try{var r=t.substr(1),o=lengthBytesUTF8(r)+1,a=_malloc(o);stringToUTF8(r,a,o);var n=_malloc(4),u=e(a,0,0,n);if(getValue(n,"i32")===0&&u)return Pointer_stringify(u)}catch{}finally{a&&_free(a),n&&_free(n),u&&_free(u)}return t}return Runtime.warnOnce("warning: build with -s DEMANGLE_SUPPORT=1 to link in libcxxabi demangling"),t}function demangleAll(t){var e=/__Z[\w\d_]+/g;return t.replace(e,function(r){var o=demangle(r);return r===o?r:r+" ["+o+"]"})}function jsStackTrace(){var t=new Error;if(!t.stack){try{throw new Error(0)}catch(e){t=e}if(!t.stack)return"(no stack trace available)"}return t.stack.toString()}function stackTrace(){var t=jsStackTrace();return Module.extraStackTrace&&(t+=` -`+Module.extraStackTrace()),demangleAll(t)}Module.stackTrace=stackTrace;var HEAP,buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferViews(){Module.HEAP8=HEAP8=new Int8Array(buffer),Module.HEAP16=HEAP16=new Int16Array(buffer),Module.HEAP32=HEAP32=new Int32Array(buffer),Module.HEAPU8=HEAPU8=new Uint8Array(buffer),Module.HEAPU16=HEAPU16=new Uint16Array(buffer),Module.HEAPU32=HEAPU32=new Uint32Array(buffer),Module.HEAPF32=HEAPF32=new Float32Array(buffer),Module.HEAPF64=HEAPF64=new Float64Array(buffer)}var STATIC_BASE,STATICTOP,staticSealed,STACK_BASE,STACKTOP,STACK_MAX,DYNAMIC_BASE,DYNAMICTOP_PTR;STATIC_BASE=STATICTOP=STACK_BASE=STACKTOP=STACK_MAX=DYNAMIC_BASE=DYNAMICTOP_PTR=0,staticSealed=!1;function abortOnCannotGrowMemory(){abort("Cannot enlarge memory arrays. Either (1) compile with -s TOTAL_MEMORY=X with X higher than the current value "+TOTAL_MEMORY+", (2) compile with -s ALLOW_MEMORY_GROWTH=1 which allows increasing the size at runtime but prevents some optimizations, (3) set Module.TOTAL_MEMORY to a higher value before the program runs, or (4) if you want malloc to return NULL (0) instead of this abort, compile with -s ABORTING_MALLOC=0 ")}function enlargeMemory(){abortOnCannotGrowMemory()}var TOTAL_STACK=Module.TOTAL_STACK||5242880,TOTAL_MEMORY=Module.TOTAL_MEMORY||134217728;TOTAL_MEMORY0;){var e=t.shift();if(typeof e=="function"){e();continue}var r=e.func;typeof r=="number"?e.arg===void 0?Module.dynCall_v(r):Module.dynCall_vi(r,e.arg):r(e.arg===void 0?null:e.arg)}}var __ATPRERUN__=[],__ATINIT__=[],__ATMAIN__=[],__ATEXIT__=[],__ATPOSTRUN__=[],runtimeInitialized=!1,runtimeExited=!1;function preRun(){if(Module.preRun)for(typeof Module.preRun=="function"&&(Module.preRun=[Module.preRun]);Module.preRun.length;)addOnPreRun(Module.preRun.shift());callRuntimeCallbacks(__ATPRERUN__)}function ensureInitRuntime(){runtimeInitialized||(runtimeInitialized=!0,callRuntimeCallbacks(__ATINIT__))}function preMain(){callRuntimeCallbacks(__ATMAIN__)}function exitRuntime(){callRuntimeCallbacks(__ATEXIT__),runtimeExited=!0}function postRun(){if(Module.postRun)for(typeof Module.postRun=="function"&&(Module.postRun=[Module.postRun]);Module.postRun.length;)addOnPostRun(Module.postRun.shift());callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(t){__ATPRERUN__.unshift(t)}Module.addOnPreRun=addOnPreRun;function addOnInit(t){__ATINIT__.unshift(t)}Module.addOnInit=addOnInit;function addOnPreMain(t){__ATMAIN__.unshift(t)}Module.addOnPreMain=addOnPreMain;function addOnExit(t){__ATEXIT__.unshift(t)}Module.addOnExit=addOnExit;function addOnPostRun(t){__ATPOSTRUN__.unshift(t)}Module.addOnPostRun=addOnPostRun;function intArrayFromString(t,e,r){var o=r>0?r:lengthBytesUTF8(t)+1,a=new Array(o),n=stringToUTF8Array(t,a,0,a.length);return e&&(a.length=n),a}Module.intArrayFromString=intArrayFromString;function intArrayToString(t){for(var e=[],r=0;r255&&(o&=255),e.push(String.fromCharCode(o))}return e.join("")}Module.intArrayToString=intArrayToString;function writeStringToMemory(t,e,r){Runtime.warnOnce("writeStringToMemory is deprecated and should not be called! Use stringToUTF8() instead!");var o,a;r&&(a=e+lengthBytesUTF8(t),o=HEAP8[a]),stringToUTF8(t,e,1/0),r&&(HEAP8[a]=o)}Module.writeStringToMemory=writeStringToMemory;function writeArrayToMemory(t,e){HEAP8.set(t,e)}Module.writeArrayToMemory=writeArrayToMemory;function writeAsciiToMemory(t,e,r){for(var o=0;o>0]=t.charCodeAt(o);r||(HEAP8[e>>0]=0)}if(Module.writeAsciiToMemory=writeAsciiToMemory,(!Math.imul||Math.imul(4294967295,5)!==-5)&&(Math.imul=function t(e,r){var o=e>>>16,a=e&65535,n=r>>>16,u=r&65535;return a*u+(o*u+a*n<<16)|0}),Math.imul=Math.imul,!Math.fround){var froundBuffer=new Float32Array(1);Math.fround=function(t){return froundBuffer[0]=t,froundBuffer[0]}}Math.fround=Math.fround,Math.clz32||(Math.clz32=function(t){t=t>>>0;for(var e=0;e<32;e++)if(t&1<<31-e)return e;return 32}),Math.clz32=Math.clz32,Math.trunc||(Math.trunc=function(t){return t<0?Math.ceil(t):Math.floor(t)}),Math.trunc=Math.trunc;var Math_abs=Math.abs,Math_cos=Math.cos,Math_sin=Math.sin,Math_tan=Math.tan,Math_acos=Math.acos,Math_asin=Math.asin,Math_atan=Math.atan,Math_atan2=Math.atan2,Math_exp=Math.exp,Math_log=Math.log,Math_sqrt=Math.sqrt,Math_ceil=Math.ceil,Math_floor=Math.floor,Math_pow=Math.pow,Math_imul=Math.imul,Math_fround=Math.fround,Math_round=Math.round,Math_min=Math.min,Math_clz32=Math.clz32,Math_trunc=Math.trunc,runDependencies=0,runDependencyWatcher=null,dependenciesFulfilled=null;function getUniqueRunDependency(t){return t}function addRunDependency(t){runDependencies++,Module.monitorRunDependencies&&Module.monitorRunDependencies(runDependencies)}Module.addRunDependency=addRunDependency;function removeRunDependency(t){if(runDependencies--,Module.monitorRunDependencies&&Module.monitorRunDependencies(runDependencies),runDependencies==0&&(runDependencyWatcher!==null&&(clearInterval(runDependencyWatcher),runDependencyWatcher=null),dependenciesFulfilled)){var e=dependenciesFulfilled;dependenciesFulfilled=null,e()}}Module.removeRunDependency=removeRunDependency,Module.preloadedImages={},Module.preloadedAudios={};var ASM_CONSTS=[function(t,e,r,o,a,n,u,A){return _nbind.callbackSignatureList[t].apply(this,arguments)}];function _emscripten_asm_const_iiiiiiii(t,e,r,o,a,n,u,A){return ASM_CONSTS[t](e,r,o,a,n,u,A)}function _emscripten_asm_const_iiiii(t,e,r,o,a){return ASM_CONSTS[t](e,r,o,a)}function _emscripten_asm_const_iiidddddd(t,e,r,o,a,n,u,A,p){return ASM_CONSTS[t](e,r,o,a,n,u,A,p)}function _emscripten_asm_const_iiididi(t,e,r,o,a,n,u){return ASM_CONSTS[t](e,r,o,a,n,u)}function _emscripten_asm_const_iiii(t,e,r,o){return ASM_CONSTS[t](e,r,o)}function _emscripten_asm_const_iiiid(t,e,r,o,a){return ASM_CONSTS[t](e,r,o,a)}function _emscripten_asm_const_iiiiii(t,e,r,o,a,n){return 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ye==2?(he+=te[(Ae&3)<<4],he+=le+le):ye==4&&(he+=te[(Ae&15)<<2],he+=le),he}E.src="data:audio/x-"+u.substr(-3)+";base64,"+U(n),C(E)},E.src=x,Browser.safeSetTimeout(function(){C(E)},1e4)}else return I()},Module.preloadPlugins.push(e);function r(){Browser.pointerLock=document.pointerLockElement===Module.canvas||document.mozPointerLockElement===Module.canvas||document.webkitPointerLockElement===Module.canvas||document.msPointerLockElement===Module.canvas}var o=Module.canvas;o&&(o.requestPointerLock=o.requestPointerLock||o.mozRequestPointerLock||o.webkitRequestPointerLock||o.msRequestPointerLock||function(){},o.exitPointerLock=document.exitPointerLock||document.mozExitPointerLock||document.webkitExitPointerLock||document.msExitPointerLock||function(){},o.exitPointerLock=o.exitPointerLock.bind(document),document.addEventListener("pointerlockchange",r,!1),document.addEventListener("mozpointerlockchange",r,!1),document.addEventListener("webkitpointerlockchange",r,!1),document.addEventListener("mspointerlockchange",r,!1),Module.elementPointerLock&&o.addEventListener("click",function(a){!Browser.pointerLock&&Module.canvas.requestPointerLock&&(Module.canvas.requestPointerLock(),a.preventDefault())},!1))},createContext:function(t,e,r,o){if(e&&Module.ctx&&t==Module.canvas)return Module.ctx;var a,n;if(e){var u={antialias:!1,alpha:!1};if(o)for(var A in o)u[A]=o[A];n=GL.createContext(t,u),n&&(a=GL.getContext(n).GLctx)}else a=t.getContext("2d");return a?(r&&(e||assert(typeof GLctx>"u","cannot set in module if GLctx is used, but we are a non-GL context that would replace it"),Module.ctx=a,e&&GL.makeContextCurrent(n),Module.useWebGL=e,Browser.moduleContextCreatedCallbacks.forEach(function(p){p()}),Browser.init()),a):null},destroyContext:function(t,e,r){},fullscreenHandlersInstalled:!1,lockPointer:void 0,resizeCanvas:void 0,requestFullscreen:function(t,e,r){Browser.lockPointer=t,Browser.resizeCanvas=e,Browser.vrDevice=r,typeof Browser.lockPointer>"u"&&(Browser.lockPointer=!0),typeof Browser.resizeCanvas>"u"&&(Browser.resizeCanvas=!1),typeof Browser.vrDevice>"u"&&(Browser.vrDevice=null);var o=Module.canvas;function a(){Browser.isFullscreen=!1;var u=o.parentNode;(document.fullscreenElement||document.mozFullScreenElement||document.msFullscreenElement||document.webkitFullscreenElement||document.webkitCurrentFullScreenElement)===u?(o.exitFullscreen=document.exitFullscreen||document.cancelFullScreen||document.mozCancelFullScreen||document.msExitFullscreen||document.webkitCancelFullScreen||function(){},o.exitFullscreen=o.exitFullscreen.bind(document),Browser.lockPointer&&o.requestPointerLock(),Browser.isFullscreen=!0,Browser.resizeCanvas&&Browser.setFullscreenCanvasSize()):(u.parentNode.insertBefore(o,u),u.parentNode.removeChild(u),Browser.resizeCanvas&&Browser.setWindowedCanvasSize()),Module.onFullScreen&&Module.onFullScreen(Browser.isFullscreen),Module.onFullscreen&&Module.onFullscreen(Browser.isFullscreen),Browser.updateCanvasDimensions(o)}Browser.fullscreenHandlersInstalled||(Browser.fullscreenHandlersInstalled=!0,document.addEventListener("fullscreenchange",a,!1),document.addEventListener("mozfullscreenchange",a,!1),document.addEventListener("webkitfullscreenchange",a,!1),document.addEventListener("MSFullscreenChange",a,!1));var n=document.createElement("div");o.parentNode.insertBefore(n,o),n.appendChild(o),n.requestFullscreen=n.requestFullscreen||n.mozRequestFullScreen||n.msRequestFullscreen||(n.webkitRequestFullscreen?function(){n.webkitRequestFullscreen(Element.ALLOW_KEYBOARD_INPUT)}:null)||(n.webkitRequestFullScreen?function(){n.webkitRequestFullScreen(Element.ALLOW_KEYBOARD_INPUT)}:null),r?n.requestFullscreen({vrDisplay:r}):n.requestFullscreen()},requestFullScreen:function(t,e,r){return Module.printErr("Browser.requestFullScreen() is deprecated. Please call Browser.requestFullscreen instead."),Browser.requestFullScreen=function(o,a,n){return Browser.requestFullscreen(o,a,n)},Browser.requestFullscreen(t,e,r)},nextRAF:0,fakeRequestAnimationFrame:function(t){var e=Date.now();if(Browser.nextRAF===0)Browser.nextRAF=e+1e3/60;else for(;e+2>=Browser.nextRAF;)Browser.nextRAF+=1e3/60;var r=Math.max(Browser.nextRAF-e,0);setTimeout(t,r)},requestAnimationFrame:function t(e){typeof window>"u"?Browser.fakeRequestAnimationFrame(e):(window.requestAnimationFrame||(window.requestAnimationFrame=window.requestAnimationFrame||window.mozRequestAnimationFrame||window.webkitRequestAnimationFrame||window.msRequestAnimationFrame||window.oRequestAnimationFrame||Browser.fakeRequestAnimationFrame),window.requestAnimationFrame(e))},safeCallback:function(t){return function(){if(!ABORT)return t.apply(null,arguments)}},allowAsyncCallbacks:!0,queuedAsyncCallbacks:[],pauseAsyncCallbacks:function(){Browser.allowAsyncCallbacks=!1},resumeAsyncCallbacks:function(){if(Browser.allowAsyncCallbacks=!0,Browser.queuedAsyncCallbacks.length>0){var t=Browser.queuedAsyncCallbacks;Browser.queuedAsyncCallbacks=[],t.forEach(function(e){e()})}},safeRequestAnimationFrame:function(t){return Browser.requestAnimationFrame(function(){ABORT||(Browser.allowAsyncCallbacks?t():Browser.queuedAsyncCallbacks.push(t))})},safeSetTimeout:function(t,e){return Module.noExitRuntime=!0,setTimeout(function(){ABORT||(Browser.allowAsyncCallbacks?t():Browser.queuedAsyncCallbacks.push(t))},e)},safeSetInterval:function(t,e){return Module.noExitRuntime=!0,setInterval(function(){ABORT||Browser.allowAsyncCallbacks&&t()},e)},getMimetype:function(t){return{jpg:"image/jpeg",jpeg:"image/jpeg",png:"image/png",bmp:"image/bmp",ogg:"audio/ogg",wav:"audio/wav",mp3:"audio/mpeg"}[t.substr(t.lastIndexOf(".")+1)]},getUserMedia:function(t){window.getUserMedia||(window.getUserMedia=navigator.getUserMedia||navigator.mozGetUserMedia),window.getUserMedia(t)},getMovementX:function(t){return t.movementX||t.mozMovementX||t.webkitMovementX||0},getMovementY:function(t){return t.movementY||t.mozMovementY||t.webkitMovementY||0},getMouseWheelDelta:function(t){var e=0;switch(t.type){case"DOMMouseScroll":e=t.detail;break;case"mousewheel":e=t.wheelDelta;break;case"wheel":e=t.deltaY;break;default:throw"unrecognized mouse wheel event: "+t.type}return e},mouseX:0,mouseY:0,mouseMovementX:0,mouseMovementY:0,touches:{},lastTouches:{},calculateMouseEvent:function(t){if(Browser.pointerLock)t.type!="mousemove"&&"mozMovementX"in t?Browser.mouseMovementX=Browser.mouseMovementY=0:(Browser.mouseMovementX=Browser.getMovementX(t),Browser.mouseMovementY=Browser.getMovementY(t)),typeof SDL<"u"?(Browser.mouseX=SDL.mouseX+Browser.mouseMovementX,Browser.mouseY=SDL.mouseY+Browser.mouseMovementY):(Browser.mouseX+=Browser.mouseMovementX,Browser.mouseY+=Browser.mouseMovementY);else{var e=Module.canvas.getBoundingClientRect(),r=Module.canvas.width,o=Module.canvas.height,a=typeof window.scrollX<"u"?window.scrollX:window.pageXOffset,n=typeof window.scrollY<"u"?window.scrollY:window.pageYOffset;if(t.type==="touchstart"||t.type==="touchend"||t.type==="touchmove"){var u=t.touch;if(u===void 0)return;var A=u.pageX-(a+e.left),p=u.pageY-(n+e.top);A=A*(r/e.width),p=p*(o/e.height);var h={x:A,y:p};if(t.type==="touchstart")Browser.lastTouches[u.identifier]=h,Browser.touches[u.identifier]=h;else if(t.type==="touchend"||t.type==="touchmove"){var C=Browser.touches[u.identifier];C||(C=h),Browser.lastTouches[u.identifier]=C,Browser.touches[u.identifier]=h}return}var I=t.pageX-(a+e.left),v=t.pageY-(n+e.top);I=I*(r/e.width),v=v*(o/e.height),Browser.mouseMovementX=I-Browser.mouseX,Browser.mouseMovementY=v-Browser.mouseY,Browser.mouseX=I,Browser.mouseY=v}},asyncLoad:function(t,e,r,o){var a=o?"":"al "+t;Module.readAsync(t,function(n){assert(n,'Loading data file "'+t+'" failed (no arrayBuffer).'),e(new Uint8Array(n)),a&&removeRunDependency(a)},function(n){if(r)r();else throw'Loading data file "'+t+'" failed.'}),a&&addRunDependency(a)},resizeListeners:[],updateResizeListeners:function(){var t=Module.canvas;Browser.resizeListeners.forEach(function(e){e(t.width,t.height)})},setCanvasSize:function(t,e,r){var o=Module.canvas;Browser.updateCanvasDimensions(o,t,e),r||Browser.updateResizeListeners()},windowedWidth:0,windowedHeight:0,setFullscreenCanvasSize:function(){if(typeof SDL<"u"){var t=HEAPU32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2];t=t|8388608,HEAP32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2]=t}Browser.updateResizeListeners()},setWindowedCanvasSize:function(){if(typeof SDL<"u"){var t=HEAPU32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2];t=t&-8388609,HEAP32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2]=t}Browser.updateResizeListeners()},updateCanvasDimensions:function(t,e,r){e&&r?(t.widthNative=e,t.heightNative=r):(e=t.widthNative,r=t.heightNative);var o=e,a=r;if(Module.forcedAspectRatio&&Module.forcedAspectRatio>0&&(o/a>2];return e},getStr:function(){var t=Pointer_stringify(SYSCALLS.get());return t},get64:function(){var t=SYSCALLS.get(),e=SYSCALLS.get();return t>=0?assert(e===0):assert(e===-1),t},getZero:function(){assert(SYSCALLS.get()===0)}};function ___syscall6(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.getStreamFromFD();return FS.close(r),0}catch(o){return(typeof FS>"u"||!(o instanceof FS.ErrnoError))&&abort(o),-o.errno}}function ___syscall54(t,e){SYSCALLS.varargs=e;try{return 0}catch(r){return(typeof FS>"u"||!(r instanceof FS.ErrnoError))&&abort(r),-r.errno}}function _typeModule(t){var e=[[0,1,"X"],[1,1,"const X"],[128,1,"X *"],[256,1,"X &"],[384,1,"X &&"],[512,1,"std::shared_ptr"],[640,1,"std::unique_ptr"],[5120,1,"std::vector"],[6144,2,"std::array"],[9216,-1,"std::function"]];function r(p,h,C,I,v,x){if(h==1){var E=I&896;(E==128||E==256||E==384)&&(p="X const")}var R;return x?R=C.replace("X",p).replace("Y",v):R=p.replace("X",C).replace("Y",v),R.replace(/([*&]) (?=[*&])/g,"$1")}function o(p,h,C,I,v){throw new Error(p+" type "+C.replace("X",h+"?")+(I?" with flag "+I:"")+" in "+v)}function a(p,h,C,I,v,x,E,R){x===void 0&&(x="X"),R===void 0&&(R=1);var L=C(p);if(L)return L;var U=I(p),z=U.placeholderFlag,te=e[z];E&&te&&(x=r(E[2],E[0],x,te[0],"?",!0));var le;z==0&&(le="Unbound"),z>=10&&(le="Corrupt"),R>20&&(le="Deeply nested"),le&&o(le,p,x,z,v||"?");var he=U.paramList[0],Ae=a(he,h,C,I,v,x,te,R+1),ye,ae={flags:te[0],id:p,name:"",paramList:[Ae]},Ie=[],Fe="?";switch(U.placeholderFlag){case 1:ye=Ae.spec;break;case 2:if((Ae.flags&15360)==1024&&Ae.spec.ptrSize==1){ae.flags=7168;break}case 3:case 6:case 5:ye=Ae.spec,Ae.flags&15360;break;case 8:Fe=""+U.paramList[1],ae.paramList.push(U.paramList[1]);break;case 9:for(var g=0,Ee=U.paramList[1];g>2]=t),t}function _llvm_stacksave(){var t=_llvm_stacksave;return t.LLVM_SAVEDSTACKS||(t.LLVM_SAVEDSTACKS=[]),t.LLVM_SAVEDSTACKS.push(Runtime.stackSave()),t.LLVM_SAVEDSTACKS.length-1}function ___syscall140(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.getStreamFromFD(),o=SYSCALLS.get(),a=SYSCALLS.get(),n=SYSCALLS.get(),u=SYSCALLS.get(),A=a;return FS.llseek(r,A,u),HEAP32[n>>2]=r.position,r.getdents&&A===0&&u===0&&(r.getdents=null),0}catch(p){return(typeof FS>"u"||!(p instanceof FS.ErrnoError))&&abort(p),-p.errno}}function ___syscall146(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.get(),o=SYSCALLS.get(),a=SYSCALLS.get(),n=0;___syscall146.buffer||(___syscall146.buffers=[null,[],[]],___syscall146.printChar=function(C,I){var v=___syscall146.buffers[C];assert(v),I===0||I===10?((C===1?Module.print:Module.printErr)(UTF8ArrayToString(v,0)),v.length=0):v.push(I)});for(var u=0;u>2],p=HEAP32[o+(u*8+4)>>2],h=0;h"u"||!(C instanceof FS.ErrnoError))&&abort(C),-C.errno}}function __nbind_finish(){for(var t=0,e=_nbind.BindClass.list;tt.pageSize/2||e>t.pageSize-r){var o=_nbind.typeNameTbl.NBind.proto;return o.lalloc(e)}else return HEAPU32[t.usedPtr]=r+e,t.rootPtr+r},t.lreset=function(e,r){var o=HEAPU32[t.pagePtr];if(o){var a=_nbind.typeNameTbl.NBind.proto;a.lreset(e,r)}else HEAPU32[t.usedPtr]=e},t}();_nbind.Pool=Pool;function constructType(t,e){var r=t==10240?_nbind.makeTypeNameTbl[e.name]||_nbind.BindType:_nbind.makeTypeKindTbl[t],o=new r(e);return typeIdTbl[e.id]=o,_nbind.typeNameTbl[e.name]=o,o}_nbind.constructType=constructType;function getType(t){return typeIdTbl[t]}_nbind.getType=getType;function queryType(t){var e=HEAPU8[t],r=_nbind.structureList[e][1];t/=4,r<0&&(++t,r=HEAPU32[t]+1);var o=Array.prototype.slice.call(HEAPU32.subarray(t+1,t+1+r));return e==9&&(o=[o[0],o.slice(1)]),{paramList:o,placeholderFlag:e}}_nbind.queryType=queryType;function getTypes(t,e){return t.map(function(r){return typeof r=="number"?_nbind.getComplexType(r,constructType,getType,queryType,e):_nbind.typeNameTbl[r]})}_nbind.getTypes=getTypes;function readTypeIdList(t,e){return Array.prototype.slice.call(HEAPU32,t/4,t/4+e)}_nbind.readTypeIdList=readTypeIdList;function readAsciiString(t){for(var e=t;HEAPU8[e++];);return String.fromCharCode.apply("",HEAPU8.subarray(t,e-1))}_nbind.readAsciiString=readAsciiString;function readPolicyList(t){var e={};if(t)for(;;){var r=HEAPU32[t/4];if(!r)break;e[readAsciiString(r)]=!0,t+=4}return e}_nbind.readPolicyList=readPolicyList;function getDynCall(t,e){var r={float32_t:"d",float64_t:"d",int64_t:"d",uint64_t:"d",void:"v"},o=t.map(function(n){return r[n.name]||"i"}).join(""),a=Module["dynCall_"+o];if(!a)throw new Error("dynCall_"+o+" not found for "+e+"("+t.map(function(n){return n.name}).join(", ")+")");return a}_nbind.getDynCall=getDynCall;function addMethod(t,e,r,o){var a=t[e];t.hasOwnProperty(e)&&a?((a.arity||a.arity===0)&&(a=_nbind.makeOverloader(a,a.arity),t[e]=a),a.addMethod(r,o)):(r.arity=o,t[e]=r)}_nbind.addMethod=addMethod;function throwError(t){throw new Error(t)}_nbind.throwError=throwError,_nbind.bigEndian=!1,_a=_typeModule(_typeModule),_nbind.Type=_a.Type,_nbind.makeType=_a.makeType,_nbind.getComplexType=_a.getComplexType,_nbind.structureList=_a.structureList;var BindType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.heap=HEAPU32,r.ptrSize=4,r}return e.prototype.needsWireRead=function(r){return!!this.wireRead||!!this.makeWireRead},e.prototype.needsWireWrite=function(r){return!!this.wireWrite||!!this.makeWireWrite},e}(_nbind.Type);_nbind.BindType=BindType;var PrimitiveType=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this,a=r.flags&32?{32:HEAPF32,64:HEAPF64}:r.flags&8?{8:HEAPU8,16:HEAPU16,32:HEAPU32}:{8:HEAP8,16:HEAP16,32:HEAP32};return o.heap=a[r.ptrSize*8],o.ptrSize=r.ptrSize,o}return e.prototype.needsWireWrite=function(r){return!!r&&!!r.Strict},e.prototype.makeWireWrite=function(r,o){return o&&o.Strict&&function(a){if(typeof a=="number")return a;throw new Error("Type mismatch")}},e}(BindType);_nbind.PrimitiveType=PrimitiveType;function pushCString(t,e){if(t==null){if(e&&e.Nullable)return 0;throw new Error("Type mismatch")}if(e&&e.Strict){if(typeof t!="string")throw new Error("Type mismatch")}else t=t.toString();var r=Module.lengthBytesUTF8(t)+1,o=_nbind.Pool.lalloc(r);return Module.stringToUTF8Array(t,HEAPU8,o,r),o}_nbind.pushCString=pushCString;function popCString(t){return t===0?null:Module.Pointer_stringify(t)}_nbind.popCString=popCString;var CStringType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=popCString,r.wireWrite=pushCString,r.readResources=[_nbind.resources.pool],r.writeResources=[_nbind.resources.pool],r}return e.prototype.makeWireWrite=function(r,o){return function(a){return pushCString(a,o)}},e}(BindType);_nbind.CStringType=CStringType;var BooleanType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=function(o){return!!o},r}return e.prototype.needsWireWrite=function(r){return!!r&&!!r.Strict},e.prototype.makeWireRead=function(r){return"!!("+r+")"},e.prototype.makeWireWrite=function(r,o){return o&&o.Strict&&function(a){if(typeof a=="boolean")return a;throw new Error("Type mismatch")}||r},e}(BindType);_nbind.BooleanType=BooleanType;var Wrapper=function(){function t(){}return t.prototype.persist=function(){this.__nbindState|=1},t}();_nbind.Wrapper=Wrapper;function makeBound(t,e){var r=function(o){__extends(a,o);function a(n,u,A,p){var h=o.call(this)||this;if(!(h instanceof a))return new(Function.prototype.bind.apply(a,Array.prototype.concat.apply([null],arguments)));var C=u,I=A,v=p;if(n!==_nbind.ptrMarker){var x=h.__nbindConstructor.apply(h,arguments);C=4608,v=HEAPU32[x/4],I=HEAPU32[x/4+1]}var E={configurable:!0,enumerable:!1,value:null,writable:!1},R={__nbindFlags:C,__nbindPtr:I};v&&(R.__nbindShared=v,_nbind.mark(h));for(var L=0,U=Object.keys(R);L>=1;var r=_nbind.valueList[t];return _nbind.valueList[t]=firstFreeValue,firstFreeValue=t,r}else{if(e)return _nbind.popShared(t,e);throw new Error("Invalid value slot "+t)}}_nbind.popValue=popValue;var valueBase=18446744073709552e3;function push64(t){return typeof t=="number"?t:pushValue(t)*4096+valueBase}function pop64(t){return t=3?u=Buffer.from(n):u=new Buffer(n),u.copy(o)}else getBuffer(o).set(n)}}_nbind.commitBuffer=commitBuffer;var dirtyList=[],gcTimer=0;function sweep(){for(var t=0,e=dirtyList;t>2]=DYNAMIC_BASE,staticSealed=!0;function invoke_viiiii(t,e,r,o,a,n){try{Module.dynCall_viiiii(t,e,r,o,a,n)}catch(u){if(typeof u!="number"&&u!=="longjmp")throw u;Module.setThrew(1,0)}}function invoke_vif(t,e,r){try{Module.dynCall_vif(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_vid(t,e,r){try{Module.dynCall_vid(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_fiff(t,e,r,o){try{return Module.dynCall_fiff(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_vi(t,e){try{Module.dynCall_vi(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_vii(t,e,r){try{Module.dynCall_vii(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_ii(t,e){try{return Module.dynCall_ii(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_viddi(t,e,r,o,a){try{Module.dynCall_viddi(t,e,r,o,a)}catch(n){if(typeof n!="number"&&n!=="longjmp")throw n;Module.setThrew(1,0)}}function invoke_vidd(t,e,r,o){try{Module.dynCall_vidd(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_iiii(t,e,r,o){try{return Module.dynCall_iiii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_diii(t,e,r,o){try{return Module.dynCall_diii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_di(t,e){try{return Module.dynCall_di(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function 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Tt(s){s=s|0,Un(s,(n[s+964>>2]|0)!=0,2832),Le(s)}function er(s){return s=s|0,(o[s+984>>0]|0)!=0|0}function Zr(s,l){s=s|0,l=l|0,LUe(s,l,400)|0&&(Dr(s|0,l|0,400)|0,Le(s))}function qi(s){s=s|0;var l=Ze;return l=y(h[s+44>>2]),s=_t(l)|0,y(s?y(0):l)}function es(s){s=s|0;var l=Ze;return l=y(h[s+48>>2]),_t(l)|0&&(l=o[(n[s+976>>2]|0)+2>>0]|0?y(1):y(0)),y(l)}function bi(s,l){s=s|0,l=l|0,n[s+980>>2]=l}function jo(s){return s=s|0,n[s+980>>2]|0}function xA(s,l){s=s|0,l=l|0;var c=0;c=s+4|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function kA(s){return s=s|0,n[s+4>>2]|0}function cp(s,l){s=s|0,l=l|0;var c=0;c=s+8|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function rg(s){return s=s|0,n[s+8>>2]|0}function gu(s,l){s=s|0,l=l|0;var c=0;c=s+12|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ng(s){return s=s|0,n[s+12>>2]|0}function du(s,l){s=s|0,l=l|0;var c=0;c=s+16|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function uo(s){return s=s|0,n[s+16>>2]|0}function QA(s,l){s=s|0,l=l|0;var c=0;c=s+20|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function mc(s){return s=s|0,n[s+20>>2]|0}function ca(s,l){s=s|0,l=l|0;var c=0;c=s+24|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ig(s){return s=s|0,n[s+24>>2]|0}function yc(s,l){s=s|0,l=l|0;var c=0;c=s+28|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function Dm(s){return s=s|0,n[s+28>>2]|0}function sg(s,l){s=s|0,l=l|0;var c=0;c=s+32|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function $n(s){return s=s|0,n[s+32>>2]|0}function up(s,l){s=s|0,l=l|0;var c=0;c=s+36|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function og(s){return s=s|0,n[s+36>>2]|0}function FA(s,l){s=s|0,l=y(l);var c=0;c=s+40|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Hs(s,l){s=s|0,l=y(l);var c=0;c=s+44|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function mu(s,l){s=s|0,l=y(l);var c=0;c=s+48|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Ha(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+52|0,d=s+56|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Gi(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+52|0,c=s+56|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function ua(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+52|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function yu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+132+(l<<3)|0,l=s+132+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Es(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+132+(l<<3)|0,l=s+132+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Ec(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+132+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function Cc(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+60+(l<<3)|0,l=s+60+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function G(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+60+(l<<3)|0,l=s+60+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Dt(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+60+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function wl(s,l){s=s|0,l=l|0;var c=0;c=s+60+(l<<3)+4|0,(n[c>>2]|0)!=3&&(h[s+60+(l<<3)>>2]=y(Ae),n[c>>2]=3,Le(s))}function xi(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+204+(l<<3)|0,l=s+204+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function wc(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+204+(l<<3)|0,l=s+204+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function ct(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+204+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function Eu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+276+(l<<3)|0,l=s+276+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function ag(s,l){return s=s|0,l=l|0,y(h[s+276+(l<<3)>>2])}function dw(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+348|0,d=s+352|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function RA(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+348|0,c=s+352|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function Ap(s){s=s|0;var l=0;l=s+352|0,(n[l>>2]|0)!=3&&(h[s+348>>2]=y(Ae),n[l>>2]=3,Le(s))}function Br(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+348|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Cs(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+356|0,d=s+360|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function lg(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+356|0,c=s+360|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function cg(s){s=s|0;var l=0;l=s+360|0,(n[l>>2]|0)!=3&&(h[s+356>>2]=y(Ae),n[l>>2]=3,Le(s))}function ug(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+356|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function fp(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+364|0,d=s+368|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Ic(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+364|0,d=s+368|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Ct(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+364|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Pm(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+372|0,d=s+376|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Ag(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+372|0,d=s+376|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function fg(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+372|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Cu(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+380|0,d=s+384|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Sm(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+380|0,d=s+384|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function pg(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+380|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function wu(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+388|0,d=s+392|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function mw(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+388|0,d=s+392|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function bm(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+388|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Aa(s,l){s=s|0,l=y(l);var c=0;c=s+396|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Bc(s){return s=s|0,y(h[s+396>>2])}function Il(s){return s=s|0,y(h[s+400>>2])}function Iu(s){return s=s|0,y(h[s+404>>2])}function hg(s){return s=s|0,y(h[s+408>>2])}function TA(s){return s=s|0,y(h[s+412>>2])}function pp(s){return s=s|0,y(h[s+416>>2])}function ja(s){return s=s|0,y(h[s+420>>2])}function gg(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+424+(l<<2)>>2])}function hp(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+448+(l<<2)>>2])}function qo(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+472+(l<<2)>>2])}function ws(s,l){s=s|0,l=l|0;var c=0,f=Ze;return c=n[s+4>>2]|0,(c|0)==(n[l+4>>2]|0)?c?(f=y(h[s>>2]),s=y(ne(y(f-y(h[l>>2]))))>2]=0,n[f+4>>2]=0,n[f+8>>2]=0,Ma(f|0,s|0,l|0,0),Ao(s,3,(o[f+11>>0]|0)<0?n[f>>2]|0:f,c),s3e(f),E=c}function Go(s,l,c,f){s=y(s),l=y(l),c=c|0,f=f|0;var d=Ze;s=y(s*l),d=y(kR(s,y(1)));do if(Ii(d,y(0))|0)s=y(s-d);else{if(s=y(s-d),Ii(d,y(1))|0){s=y(s+y(1));break}if(c){s=y(s+y(1));break}f||(d>y(.5)?d=y(1):(f=Ii(d,y(.5))|0,d=y(f?1:0)),s=y(s+d))}while(0);return y(s/l)}function NA(s,l,c,f,d,m,B,k,Q,M,O,q,se){s=s|0,l=y(l),c=c|0,f=y(f),d=d|0,m=y(m),B=B|0,k=y(k),Q=y(Q),M=y(M),O=y(O),q=y(q),se=se|0;var Ge=0,Me=Ze,Qe=Ze,et=Ze,Xe=Ze,at=Ze,Ue=Ze;return Q>2]),Me!=y(0))?(et=y(Go(l,Me,0,0)),Xe=y(Go(f,Me,0,0)),Qe=y(Go(m,Me,0,0)),Me=y(Go(k,Me,0,0))):(Qe=m,et=l,Me=k,Xe=f),(d|0)==(s|0)?Ge=Ii(Qe,et)|0:Ge=0,(B|0)==(c|0)?se=Ii(Me,Xe)|0:se=0,!Ge&&(at=y(l-O),!(gp(s,at,Q)|0))&&!(dp(s,at,d,Q)|0)?Ge=dg(s,at,d,m,Q)|0:Ge=1,!se&&(Ue=y(f-q),!(gp(c,Ue,M)|0))&&!(dp(c,Ue,B,M)|0)?se=dg(c,Ue,B,k,M)|0:se=1,se=Ge&se),se|0}function gp(s,l,c){return s=s|0,l=y(l),c=y(c),(s|0)==1?s=Ii(l,c)|0:s=0,s|0}function dp(s,l,c,f){return s=s|0,l=y(l),c=c|0,f=y(f),(s|0)==2&(c|0)==0?l>=f?s=1:s=Ii(l,f)|0:s=0,s|0}function dg(s,l,c,f,d){return s=s|0,l=y(l),c=c|0,f=y(f),d=y(d),(s|0)==2&(c|0)==2&f>l?d<=l?s=1:s=Ii(l,d)|0:s=0,s|0}function fa(s,l,c,f,d,m,B,k,Q,M,O){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=m|0,B=y(B),k=y(k),Q=Q|0,M=M|0,O=O|0;var q=0,se=0,Ge=0,Me=0,Qe=Ze,et=Ze,Xe=0,at=0,Ue=0,qe=0,Lt=0,Mr=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,xn=Ze,go=Ze,mo=Ze,yo=0,ya=0;ir=E,E=E+160|0,Xt=ir+152|0,or=ir+120|0,Mr=ir+104|0,Ue=ir+72|0,Me=ir+56|0,Lt=ir+8|0,at=ir,qe=(n[2279]|0)+1|0,n[2279]=qe,Pr=s+984|0,(o[Pr>>0]|0)!=0&&(n[s+512>>2]|0)!=(n[2278]|0)?Xe=4:(n[s+516>>2]|0)==(f|0)?Nr=0:Xe=4,(Xe|0)==4&&(n[s+520>>2]=0,n[s+924>>2]=-1,n[s+928>>2]=-1,h[s+932>>2]=y(-1),h[s+936>>2]=y(-1),Nr=1);e:do if(n[s+964>>2]|0)if(Qe=y(ln(s,2,B)),et=y(ln(s,0,B)),q=s+916|0,mo=y(h[q>>2]),go=y(h[s+920>>2]),xn=y(h[s+932>>2]),NA(d,l,m,c,n[s+924>>2]|0,mo,n[s+928>>2]|0,go,xn,y(h[s+936>>2]),Qe,et,O)|0)Xe=22;else if(Ge=n[s+520>>2]|0,!Ge)Xe=21;else for(se=0;;){if(q=s+524+(se*24|0)|0,xn=y(h[q>>2]),go=y(h[s+524+(se*24|0)+4>>2]),mo=y(h[s+524+(se*24|0)+16>>2]),NA(d,l,m,c,n[s+524+(se*24|0)+8>>2]|0,xn,n[s+524+(se*24|0)+12>>2]|0,go,mo,y(h[s+524+(se*24|0)+20>>2]),Qe,et,O)|0){Xe=22;break e}if(se=se+1|0,se>>>0>=Ge>>>0){Xe=21;break}}else{if(Q){if(q=s+916|0,!(Ii(y(h[q>>2]),l)|0)){Xe=21;break}if(!(Ii(y(h[s+920>>2]),c)|0)){Xe=21;break}if((n[s+924>>2]|0)!=(d|0)){Xe=21;break}q=(n[s+928>>2]|0)==(m|0)?q:0,Xe=22;break}if(Ge=n[s+520>>2]|0,!Ge)Xe=21;else for(se=0;;){if(q=s+524+(se*24|0)|0,Ii(y(h[q>>2]),l)|0&&Ii(y(h[s+524+(se*24|0)+4>>2]),c)|0&&(n[s+524+(se*24|0)+8>>2]|0)==(d|0)&&(n[s+524+(se*24|0)+12>>2]|0)==(m|0)){Xe=22;break e}if(se=se+1|0,se>>>0>=Ge>>>0){Xe=21;break}}}while(0);do if((Xe|0)==21)o[11697]|0?(q=0,Xe=28):(q=0,Xe=31);else if((Xe|0)==22){if(se=(o[11697]|0)!=0,!((q|0)!=0&(Nr^1)))if(se){Xe=28;break}else{Xe=31;break}Me=q+16|0,n[s+908>>2]=n[Me>>2],Ge=q+20|0,n[s+912>>2]=n[Ge>>2],(o[11698]|0)==0|se^1||(n[at>>2]=LA(qe)|0,n[at+4>>2]=qe,Ao(s,4,2972,at),se=n[s+972>>2]|0,se|0&&ef[se&127](s),d=qa(d,Q)|0,m=qa(m,Q)|0,ya=+y(h[Me>>2]),yo=+y(h[Ge>>2]),n[Lt>>2]=d,n[Lt+4>>2]=m,C[Lt+8>>3]=+l,C[Lt+16>>3]=+c,C[Lt+24>>3]=ya,C[Lt+32>>3]=yo,n[Lt+40>>2]=M,Ao(s,4,2989,Lt))}while(0);return(Xe|0)==28&&(se=LA(qe)|0,n[Me>>2]=se,n[Me+4>>2]=qe,n[Me+8>>2]=Nr?3047:11699,Ao(s,4,3038,Me),se=n[s+972>>2]|0,se|0&&ef[se&127](s),Lt=qa(d,Q)|0,Xe=qa(m,Q)|0,n[Ue>>2]=Lt,n[Ue+4>>2]=Xe,C[Ue+8>>3]=+l,C[Ue+16>>3]=+c,n[Ue+24>>2]=M,Ao(s,4,3049,Ue),Xe=31),(Xe|0)==31&&(si(s,l,c,f,d,m,B,k,Q,O),o[11697]|0&&(se=n[2279]|0,Lt=LA(se)|0,n[Mr>>2]=Lt,n[Mr+4>>2]=se,n[Mr+8>>2]=Nr?3047:11699,Ao(s,4,3083,Mr),se=n[s+972>>2]|0,se|0&&ef[se&127](s),Lt=qa(d,Q)|0,Mr=qa(m,Q)|0,yo=+y(h[s+908>>2]),ya=+y(h[s+912>>2]),n[or>>2]=Lt,n[or+4>>2]=Mr,C[or+8>>3]=yo,C[or+16>>3]=ya,n[or+24>>2]=M,Ao(s,4,3092,or)),n[s+516>>2]=f,q||(se=s+520|0,q=n[se>>2]|0,(q|0)==16&&(o[11697]|0&&Ao(s,4,3124,Xt),n[se>>2]=0,q=0),Q?q=s+916|0:(n[se>>2]=q+1,q=s+524+(q*24|0)|0),h[q>>2]=l,h[q+4>>2]=c,n[q+8>>2]=d,n[q+12>>2]=m,n[q+16>>2]=n[s+908>>2],n[q+20>>2]=n[s+912>>2],q=0)),Q&&(n[s+416>>2]=n[s+908>>2],n[s+420>>2]=n[s+912>>2],o[s+985>>0]=1,o[Pr>>0]=0),n[2279]=(n[2279]|0)+-1,n[s+512>>2]=n[2278],E=ir,Nr|(q|0)==0|0}function ln(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(K(s,l,c)),y(f+y(re(s,l,c)))}function Ao(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=E,E=E+16|0,d=m,n[d>>2]=f,s?f=n[s+976>>2]|0:f=0,yg(f,s,l,c,d),E=m}function LA(s){return s=s|0,(s>>>0>60?3201:3201+(60-s)|0)|0}function qa(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=E,E=E+32|0,c=d+12|0,f=d,n[c>>2]=n[254],n[c+4>>2]=n[255],n[c+8>>2]=n[256],n[f>>2]=n[257],n[f+4>>2]=n[258],n[f+8>>2]=n[259],(s|0)>2?s=11699:s=n[(l?f:c)+(s<<2)>>2]|0,E=d,s|0}function si(s,l,c,f,d,m,B,k,Q,M){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=m|0,B=y(B),k=y(k),Q=Q|0,M=M|0;var O=0,q=0,se=0,Ge=0,Me=Ze,Qe=Ze,et=Ze,Xe=Ze,at=Ze,Ue=Ze,qe=Ze,Lt=0,Mr=0,or=0,Xt=Ze,Pr=Ze,Nr=0,ir=Ze,xn=0,go=0,mo=0,yo=0,ya=0,kp=0,Qp=0,bl=0,Fp=0,Fu=0,Ru=0,Rp=0,Tp=0,Np=0,Xr=0,xl=0,Lp=0,xc=0,Op=Ze,Mp=Ze,Tu=Ze,Nu=Ze,kc=Ze,qs=0,Ja=0,Wo=0,kl=0,rf=0,nf=Ze,Lu=Ze,sf=Ze,of=Ze,Gs=Ze,vs=Ze,Ql=0,Rn=Ze,af=Ze,Eo=Ze,Qc=Ze,Co=Ze,Fc=Ze,lf=0,cf=0,Rc=Ze,Ys=Ze,Fl=0,uf=0,Af=0,ff=0,xr=Ze,zn=0,Ds=0,wo=0,Ws=0,Rr=0,ur=0,Rl=0,zt=Ze,pf=0,li=0;Rl=E,E=E+16|0,qs=Rl+12|0,Ja=Rl+8|0,Wo=Rl+4|0,kl=Rl,Un(s,(d|0)==0|(_t(l)|0)^1,3326),Un(s,(m|0)==0|(_t(c)|0)^1,3406),Ds=mt(s,f)|0,n[s+496>>2]=Ds,Rr=fr(2,Ds)|0,ur=fr(0,Ds)|0,h[s+440>>2]=y(K(s,Rr,B)),h[s+444>>2]=y(re(s,Rr,B)),h[s+428>>2]=y(K(s,ur,B)),h[s+436>>2]=y(re(s,ur,B)),h[s+464>>2]=y(Cr(s,Rr)),h[s+468>>2]=y(yn(s,Rr)),h[s+452>>2]=y(Cr(s,ur)),h[s+460>>2]=y(yn(s,ur)),h[s+488>>2]=y(oi(s,Rr,B)),h[s+492>>2]=y(Oi(s,Rr,B)),h[s+476>>2]=y(oi(s,ur,B)),h[s+484>>2]=y(Oi(s,ur,B));do if(n[s+964>>2]|0)Cg(s,l,c,d,m,B,k);else{if(wo=s+948|0,Ws=(n[s+952>>2]|0)-(n[wo>>2]|0)>>2,!Ws){Gv(s,l,c,d,m,B,k);break}if(!Q&&Yv(s,l,c,d,m,B,k)|0)break;$(s),xl=s+508|0,o[xl>>0]=0,Rr=fr(n[s+4>>2]|0,Ds)|0,ur=Ew(Rr,Ds)|0,zn=pe(Rr)|0,Lp=n[s+8>>2]|0,uf=s+28|0,xc=(n[uf>>2]|0)!=0,Co=zn?B:k,Rc=zn?k:B,Op=y(yp(s,Rr,B)),Mp=y(Cw(s,Rr,B)),Me=y(yp(s,ur,B)),Fc=y(En(s,Rr,B)),Ys=y(En(s,ur,B)),or=zn?d:m,Fl=zn?m:d,xr=zn?Fc:Ys,at=zn?Ys:Fc,Qc=y(ln(s,2,B)),Xe=y(ln(s,0,B)),Qe=y(y(Gr(s+364|0,B))-xr),et=y(y(Gr(s+380|0,B))-xr),Ue=y(y(Gr(s+372|0,k))-at),qe=y(y(Gr(s+388|0,k))-at),Tu=zn?Qe:Ue,Nu=zn?et:qe,Qc=y(l-Qc),l=y(Qc-xr),_t(l)|0?xr=l:xr=y(_n(y(Fg(l,et)),Qe)),af=y(c-Xe),l=y(af-at),_t(l)|0?Eo=l:Eo=y(_n(y(Fg(l,qe)),Ue)),Qe=zn?xr:Eo,Rn=zn?Eo:xr;e:do if((or|0)==1)for(f=0,q=0;;){if(O=gs(s,q)|0,!f)y(rs(O))>y(0)&&y(js(O))>y(0)?f=O:f=0;else if(Fm(O)|0){Ge=0;break e}if(q=q+1|0,q>>>0>=Ws>>>0){Ge=f;break}}else Ge=0;while(0);Lt=Ge+500|0,Mr=Ge+504|0,f=0,O=0,l=y(0),se=0;do{if(q=n[(n[wo>>2]|0)+(se<<2)>>2]|0,(n[q+36>>2]|0)==1)Bu(q),o[q+985>>0]=1,o[q+984>>0]=0;else{Bl(q),Q&&mp(q,mt(q,Ds)|0,Qe,Rn,xr);do if((n[q+24>>2]|0)!=1)if((q|0)==(Ge|0)){n[Lt>>2]=n[2278],h[Mr>>2]=y(0);break}else{Rm(s,q,xr,d,Eo,xr,Eo,m,Ds,M);break}else O|0&&(n[O+960>>2]=q),n[q+960>>2]=0,O=q,f=(f|0)==0?q:f;while(0);vs=y(h[q+504>>2]),l=y(l+y(vs+y(ln(q,Rr,xr))))}se=se+1|0}while((se|0)!=(Ws|0));for(mo=l>Qe,Ql=xc&((or|0)==2&mo)?1:or,xn=(Fl|0)==1,ya=xn&(Q^1),kp=(Ql|0)==1,Qp=(Ql|0)==2,bl=976+(Rr<<2)|0,Fp=(Fl|2|0)==2,Np=xn&(xc^1),Fu=1040+(ur<<2)|0,Ru=1040+(Rr<<2)|0,Rp=976+(ur<<2)|0,Tp=(Fl|0)!=1,mo=xc&((or|0)!=0&mo),go=s+976|0,xn=xn^1,l=Qe,Nr=0,yo=0,vs=y(0),kc=y(0);;){e:do if(Nr>>>0>>0)for(Mr=n[wo>>2]|0,se=0,qe=y(0),Ue=y(0),et=y(0),Qe=y(0),q=0,O=0,Ge=Nr;;){if(Lt=n[Mr+(Ge<<2)>>2]|0,(n[Lt+36>>2]|0)!=1&&(n[Lt+940>>2]=yo,(n[Lt+24>>2]|0)!=1)){if(Xe=y(ln(Lt,Rr,xr)),Xr=n[bl>>2]|0,c=y(Gr(Lt+380+(Xr<<3)|0,Co)),at=y(h[Lt+504>>2]),c=y(Fg(c,at)),c=y(_n(y(Gr(Lt+364+(Xr<<3)|0,Co)),c)),xc&(se|0)!=0&y(Xe+y(Ue+c))>l){m=se,Xe=qe,or=Ge;break e}Xe=y(Xe+c),c=y(Ue+Xe),Xe=y(qe+Xe),Fm(Lt)|0&&(et=y(et+y(rs(Lt))),Qe=y(Qe-y(at*y(js(Lt))))),O|0&&(n[O+960>>2]=Lt),n[Lt+960>>2]=0,se=se+1|0,O=Lt,q=(q|0)==0?Lt:q}else Xe=qe,c=Ue;if(Ge=Ge+1|0,Ge>>>0>>0)qe=Xe,Ue=c;else{m=se,or=Ge;break}}else m=0,Xe=y(0),et=y(0),Qe=y(0),q=0,or=Nr;while(0);Xr=et>y(0)&ety(0)&QeNu&((_t(Nu)|0)^1))l=Nu,Xr=51;else if(o[(n[go>>2]|0)+3>>0]|0)Xr=51;else{if(Xt!=y(0)&&y(rs(s))!=y(0)){Xr=53;break}l=Xe,Xr=53}while(0);if((Xr|0)==51&&(Xr=0,_t(l)|0?Xr=53:(Pr=y(l-Xe),ir=l)),(Xr|0)==53&&(Xr=0,Xe>2]|0,Ge=Pry(0),Ue=y(Pr/Xt),et=y(0),Xe=y(0),l=y(0),O=q;do c=y(Gr(O+380+(se<<3)|0,Co)),Qe=y(Gr(O+364+(se<<3)|0,Co)),Qe=y(Fg(c,y(_n(Qe,y(h[O+504>>2]))))),Ge?(c=y(Qe*y(js(O))),c!=y(-0)&&(zt=y(Qe-y(at*c)),nf=y(Bi(O,Rr,zt,ir,xr)),zt!=nf)&&(et=y(et-y(nf-Qe)),l=y(l+c))):Lt&&(Lu=y(rs(O)),Lu!=y(0))&&(zt=y(Qe+y(Ue*Lu)),sf=y(Bi(O,Rr,zt,ir,xr)),zt!=sf)&&(et=y(et-y(sf-Qe)),Xe=y(Xe-Lu)),O=n[O+960>>2]|0;while((O|0)!=0);if(l=y(qe+l),Qe=y(Pr+et),rf)l=y(0);else{at=y(Xt+Xe),Ge=n[bl>>2]|0,Lt=Qey(0),at=y(Qe/at),l=y(0);do{zt=y(Gr(q+380+(Ge<<3)|0,Co)),et=y(Gr(q+364+(Ge<<3)|0,Co)),et=y(Fg(zt,y(_n(et,y(h[q+504>>2]))))),Lt?(zt=y(et*y(js(q))),Qe=y(-zt),zt!=y(-0)?(zt=y(Ue*Qe),Qe=y(Bi(q,Rr,y(et+(Mr?Qe:zt)),ir,xr))):Qe=et):se&&(of=y(rs(q)),of!=y(0))?Qe=y(Bi(q,Rr,y(et+y(at*of)),ir,xr)):Qe=et,l=y(l-y(Qe-et)),Xe=y(ln(q,Rr,xr)),c=y(ln(q,ur,xr)),Qe=y(Qe+Xe),h[Ja>>2]=Qe,n[kl>>2]=1,et=y(h[q+396>>2]);e:do if(_t(et)|0){O=_t(Rn)|0;do if(!O){if(mo|(ts(q,ur,Rn)|0|xn)||(ha(s,q)|0)!=4||(n[(vl(q,ur)|0)+4>>2]|0)==3||(n[(Pc(q,ur)|0)+4>>2]|0)==3)break;h[qs>>2]=Rn,n[Wo>>2]=1;break e}while(0);if(ts(q,ur,Rn)|0){O=n[q+992+(n[Rp>>2]<<2)>>2]|0,zt=y(c+y(Gr(O,Rn))),h[qs>>2]=zt,O=Tp&(n[O+4>>2]|0)==2,n[Wo>>2]=((_t(zt)|0|O)^1)&1;break}else{h[qs>>2]=Rn,n[Wo>>2]=O?0:2;break}}else zt=y(Qe-Xe),Xt=y(zt/et),zt=y(et*zt),n[Wo>>2]=1,h[qs>>2]=y(c+(zn?Xt:zt));while(0);yr(q,Rr,ir,xr,kl,Ja),yr(q,ur,Rn,xr,Wo,qs);do if(!(ts(q,ur,Rn)|0)&&(ha(s,q)|0)==4){if((n[(vl(q,ur)|0)+4>>2]|0)==3){O=0;break}O=(n[(Pc(q,ur)|0)+4>>2]|0)!=3}else O=0;while(0);zt=y(h[Ja>>2]),Xt=y(h[qs>>2]),pf=n[kl>>2]|0,li=n[Wo>>2]|0,fa(q,zn?zt:Xt,zn?Xt:zt,Ds,zn?pf:li,zn?li:pf,xr,Eo,Q&(O^1),3488,M)|0,o[xl>>0]=o[xl>>0]|o[q+508>>0],q=n[q+960>>2]|0}while((q|0)!=0)}}else l=y(0);if(l=y(Pr+l),li=l>0]=li|u[xl>>0],Qp&l>y(0)?(O=n[bl>>2]|0,(n[s+364+(O<<3)+4>>2]|0)!=0&&(Gs=y(Gr(s+364+(O<<3)|0,Co)),Gs>=y(0))?Qe=y(_n(y(0),y(Gs-y(ir-l)))):Qe=y(0)):Qe=l,Lt=Nr>>>0>>0,Lt){Ge=n[wo>>2]|0,se=Nr,O=0;do q=n[Ge+(se<<2)>>2]|0,n[q+24>>2]|0||(O=((n[(vl(q,Rr)|0)+4>>2]|0)==3&1)+O|0,O=O+((n[(Pc(q,Rr)|0)+4>>2]|0)==3&1)|0),se=se+1|0;while((se|0)!=(or|0));O?(Xe=y(0),c=y(0)):Xr=101}else Xr=101;e:do if((Xr|0)==101)switch(Xr=0,Lp|0){case 1:{O=0,Xe=y(Qe*y(.5)),c=y(0);break e}case 2:{O=0,Xe=Qe,c=y(0);break e}case 3:{if(m>>>0<=1){O=0,Xe=y(0),c=y(0);break e}c=y((m+-1|0)>>>0),O=0,Xe=y(0),c=y(y(_n(Qe,y(0)))/c);break e}case 5:{c=y(Qe/y((m+1|0)>>>0)),O=0,Xe=c;break e}case 4:{c=y(Qe/y(m>>>0)),O=0,Xe=y(c*y(.5));break e}default:{O=0,Xe=y(0),c=y(0);break e}}while(0);if(l=y(Op+Xe),Lt){et=y(Qe/y(O|0)),se=n[wo>>2]|0,q=Nr,Qe=y(0);do{O=n[se+(q<<2)>>2]|0;e:do if((n[O+36>>2]|0)!=1){switch(n[O+24>>2]|0){case 1:{if(gi(O,Rr)|0){if(!Q)break e;zt=y(Or(O,Rr,ir)),zt=y(zt+y(Cr(s,Rr))),zt=y(zt+y(K(O,Rr,xr))),h[O+400+(n[Ru>>2]<<2)>>2]=zt;break e}break}case 0:if(li=(n[(vl(O,Rr)|0)+4>>2]|0)==3,zt=y(et+l),l=li?zt:l,Q&&(li=O+400+(n[Ru>>2]<<2)|0,h[li>>2]=y(l+y(h[li>>2]))),li=(n[(Pc(O,Rr)|0)+4>>2]|0)==3,zt=y(et+l),l=li?zt:l,ya){zt=y(c+y(ln(O,Rr,xr))),Qe=Rn,l=y(l+y(zt+y(h[O+504>>2])));break e}else{l=y(l+y(c+y(ns(O,Rr,xr)))),Qe=y(_n(Qe,y(ns(O,ur,xr))));break e}default:}Q&&(zt=y(Xe+y(Cr(s,Rr))),li=O+400+(n[Ru>>2]<<2)|0,h[li>>2]=y(zt+y(h[li>>2])))}while(0);q=q+1|0}while((q|0)!=(or|0))}else Qe=y(0);if(c=y(Mp+l),Fp?Xe=y(y(Bi(s,ur,y(Ys+Qe),Rc,B))-Ys):Xe=Rn,et=y(y(Bi(s,ur,y(Ys+(Np?Rn:Qe)),Rc,B))-Ys),Lt&Q){q=Nr;do{se=n[(n[wo>>2]|0)+(q<<2)>>2]|0;do if((n[se+36>>2]|0)!=1){if((n[se+24>>2]|0)==1){if(gi(se,ur)|0){if(zt=y(Or(se,ur,Rn)),zt=y(zt+y(Cr(s,ur))),zt=y(zt+y(K(se,ur,xr))),O=n[Fu>>2]|0,h[se+400+(O<<2)>>2]=zt,!(_t(zt)|0))break}else O=n[Fu>>2]|0;zt=y(Cr(s,ur)),h[se+400+(O<<2)>>2]=y(zt+y(K(se,ur,xr)));break}O=ha(s,se)|0;do if((O|0)==4){if((n[(vl(se,ur)|0)+4>>2]|0)==3){Xr=139;break}if((n[(Pc(se,ur)|0)+4>>2]|0)==3){Xr=139;break}if(ts(se,ur,Rn)|0){l=Me;break}pf=n[se+908+(n[bl>>2]<<2)>>2]|0,n[qs>>2]=pf,l=y(h[se+396>>2]),li=_t(l)|0,Qe=(n[v>>2]=pf,y(h[v>>2])),li?l=et:(Pr=y(ln(se,ur,xr)),zt=y(Qe/l),l=y(l*Qe),l=y(Pr+(zn?zt:l))),h[Ja>>2]=l,h[qs>>2]=y(y(ln(se,Rr,xr))+Qe),n[Wo>>2]=1,n[kl>>2]=1,yr(se,Rr,ir,xr,Wo,qs),yr(se,ur,Rn,xr,kl,Ja),l=y(h[qs>>2]),Pr=y(h[Ja>>2]),zt=zn?l:Pr,l=zn?Pr:l,li=((_t(zt)|0)^1)&1,fa(se,zt,l,Ds,li,((_t(l)|0)^1)&1,xr,Eo,1,3493,M)|0,l=Me}else Xr=139;while(0);e:do if((Xr|0)==139){Xr=0,l=y(Xe-y(ns(se,ur,xr)));do if((n[(vl(se,ur)|0)+4>>2]|0)==3){if((n[(Pc(se,ur)|0)+4>>2]|0)!=3)break;l=y(Me+y(_n(y(0),y(l*y(.5)))));break e}while(0);if((n[(Pc(se,ur)|0)+4>>2]|0)==3){l=Me;break}if((n[(vl(se,ur)|0)+4>>2]|0)==3){l=y(Me+y(_n(y(0),l)));break}switch(O|0){case 1:{l=Me;break e}case 2:{l=y(Me+y(l*y(.5)));break e}default:{l=y(Me+l);break e}}}while(0);zt=y(vs+l),li=se+400+(n[Fu>>2]<<2)|0,h[li>>2]=y(zt+y(h[li>>2]))}while(0);q=q+1|0}while((q|0)!=(or|0))}if(vs=y(vs+et),kc=y(_n(kc,c)),m=yo+1|0,or>>>0>=Ws>>>0)break;l=ir,Nr=or,yo=m}do if(Q){if(O=m>>>0>1,!O&&!(Yi(s)|0))break;if(!(_t(Rn)|0)){l=y(Rn-vs);e:do switch(n[s+12>>2]|0){case 3:{Me=y(Me+l),Ue=y(0);break}case 2:{Me=y(Me+y(l*y(.5))),Ue=y(0);break}case 4:{Rn>vs?Ue=y(l/y(m>>>0)):Ue=y(0);break}case 7:if(Rn>vs){Me=y(Me+y(l/y(m<<1>>>0))),Ue=y(l/y(m>>>0)),Ue=O?Ue:y(0);break e}else{Me=y(Me+y(l*y(.5))),Ue=y(0);break e}case 6:{Ue=y(l/y(yo>>>0)),Ue=Rn>vs&O?Ue:y(0);break}default:Ue=y(0)}while(0);if(m|0)for(Lt=1040+(ur<<2)|0,Mr=976+(ur<<2)|0,Ge=0,q=0;;){e:do if(q>>>0>>0)for(Qe=y(0),et=y(0),l=y(0),se=q;;){O=n[(n[wo>>2]|0)+(se<<2)>>2]|0;do if((n[O+36>>2]|0)!=1&&(n[O+24>>2]|0)==0){if((n[O+940>>2]|0)!=(Ge|0))break e;if(Tm(O,ur)|0&&(zt=y(h[O+908+(n[Mr>>2]<<2)>>2]),l=y(_n(l,y(zt+y(ln(O,ur,xr)))))),(ha(s,O)|0)!=5)break;Gs=y(Ya(O)),Gs=y(Gs+y(K(O,0,xr))),zt=y(h[O+912>>2]),zt=y(y(zt+y(ln(O,0,xr)))-Gs),Gs=y(_n(et,Gs)),zt=y(_n(Qe,zt)),Qe=zt,et=Gs,l=y(_n(l,y(Gs+zt)))}while(0);if(O=se+1|0,O>>>0>>0)se=O;else{se=O;break}}else et=y(0),l=y(0),se=q;while(0);if(at=y(Ue+l),c=Me,Me=y(Me+at),q>>>0>>0){Xe=y(c+et),O=q;do{q=n[(n[wo>>2]|0)+(O<<2)>>2]|0;e:do if((n[q+36>>2]|0)!=1&&(n[q+24>>2]|0)==0)switch(ha(s,q)|0){case 1:{zt=y(c+y(K(q,ur,xr))),h[q+400+(n[Lt>>2]<<2)>>2]=zt;break e}case 3:{zt=y(y(Me-y(re(q,ur,xr)))-y(h[q+908+(n[Mr>>2]<<2)>>2])),h[q+400+(n[Lt>>2]<<2)>>2]=zt;break e}case 2:{zt=y(c+y(y(at-y(h[q+908+(n[Mr>>2]<<2)>>2]))*y(.5))),h[q+400+(n[Lt>>2]<<2)>>2]=zt;break e}case 4:{if(zt=y(c+y(K(q,ur,xr))),h[q+400+(n[Lt>>2]<<2)>>2]=zt,ts(q,ur,Rn)|0||(zn?(Qe=y(h[q+908>>2]),l=y(Qe+y(ln(q,Rr,xr))),et=at):(et=y(h[q+912>>2]),et=y(et+y(ln(q,ur,xr))),l=at,Qe=y(h[q+908>>2])),Ii(l,Qe)|0&&Ii(et,y(h[q+912>>2]))|0))break e;fa(q,l,et,Ds,1,1,xr,Eo,1,3501,M)|0;break e}case 5:{h[q+404>>2]=y(y(Xe-y(Ya(q)))+y(Or(q,0,Rn)));break e}default:break e}while(0);O=O+1|0}while((O|0)!=(se|0))}if(Ge=Ge+1|0,(Ge|0)==(m|0))break;q=se}}}while(0);if(h[s+908>>2]=y(Bi(s,2,Qc,B,B)),h[s+912>>2]=y(Bi(s,0,af,k,B)),(Ql|0)!=0&&(lf=n[s+32>>2]|0,cf=(Ql|0)==2,!(cf&(lf|0)!=2))?cf&(lf|0)==2&&(l=y(Fc+ir),l=y(_n(y(Fg(l,y(OA(s,Rr,kc,Co)))),Fc)),Xr=198):(l=y(Bi(s,Rr,kc,Co,B)),Xr=198),(Xr|0)==198&&(h[s+908+(n[976+(Rr<<2)>>2]<<2)>>2]=l),(Fl|0)!=0&&(Af=n[s+32>>2]|0,ff=(Fl|0)==2,!(ff&(Af|0)!=2))?ff&(Af|0)==2&&(l=y(Ys+Rn),l=y(_n(y(Fg(l,y(OA(s,ur,y(Ys+vs),Rc)))),Ys)),Xr=204):(l=y(Bi(s,ur,y(Ys+vs),Rc,B)),Xr=204),(Xr|0)==204&&(h[s+908+(n[976+(ur<<2)>>2]<<2)>>2]=l),Q){if((n[uf>>2]|0)==2){q=976+(ur<<2)|0,se=1040+(ur<<2)|0,O=0;do Ge=gs(s,O)|0,n[Ge+24>>2]|0||(pf=n[q>>2]|0,zt=y(h[s+908+(pf<<2)>>2]),li=Ge+400+(n[se>>2]<<2)|0,zt=y(zt-y(h[li>>2])),h[li>>2]=y(zt-y(h[Ge+908+(pf<<2)>>2]))),O=O+1|0;while((O|0)!=(Ws|0))}if(f|0){O=zn?Ql:d;do Nm(s,f,xr,O,Eo,Ds,M),f=n[f+960>>2]|0;while((f|0)!=0)}if(O=(Rr|2|0)==3,q=(ur|2|0)==3,O|q){f=0;do se=n[(n[wo>>2]|0)+(f<<2)>>2]|0,(n[se+36>>2]|0)!=1&&(O&&Ep(s,se,Rr),q&&Ep(s,se,ur)),f=f+1|0;while((f|0)!=(Ws|0))}}}while(0);E=Rl}function pa(s,l){s=s|0,l=y(l);var c=0;oa(s,l>=y(0),3147),c=l==y(0),h[s+4>>2]=c?y(0):l}function vc(s,l,c,f){s=s|0,l=y(l),c=y(c),f=f|0;var d=Ze,m=Ze,B=0,k=0,Q=0;n[2278]=(n[2278]|0)+1,Bl(s),ts(s,2,l)|0?(d=y(Gr(n[s+992>>2]|0,l)),Q=1,d=y(d+y(ln(s,2,l)))):(d=y(Gr(s+380|0,l)),d>=y(0)?Q=2:(Q=((_t(l)|0)^1)&1,d=l)),ts(s,0,c)|0?(m=y(Gr(n[s+996>>2]|0,c)),k=1,m=y(m+y(ln(s,0,l)))):(m=y(Gr(s+388|0,c)),m>=y(0)?k=2:(k=((_t(c)|0)^1)&1,m=c)),B=s+976|0,fa(s,d,m,f,Q,k,l,c,1,3189,n[B>>2]|0)|0&&(mp(s,n[s+496>>2]|0,l,c,l),Dc(s,y(h[(n[B>>2]|0)+4>>2]),y(0),y(0)),o[11696]|0)&&xm(s,7)}function Bl(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;k=E,E=E+32|0,B=k+24|0,m=k+16|0,f=k+8|0,d=k,c=0;do l=s+380+(c<<3)|0,(n[s+380+(c<<3)+4>>2]|0)!=0&&(Q=l,M=n[Q+4>>2]|0,O=f,n[O>>2]=n[Q>>2],n[O+4>>2]=M,O=s+364+(c<<3)|0,M=n[O+4>>2]|0,Q=d,n[Q>>2]=n[O>>2],n[Q+4>>2]=M,n[m>>2]=n[f>>2],n[m+4>>2]=n[f+4>>2],n[B>>2]=n[d>>2],n[B+4>>2]=n[d+4>>2],ws(m,B)|0)||(l=s+348+(c<<3)|0),n[s+992+(c<<2)>>2]=l,c=c+1|0;while((c|0)!=2);E=k}function ts(s,l,c){s=s|0,l=l|0,c=y(c);var f=0;switch(s=n[s+992+(n[976+(l<<2)>>2]<<2)>>2]|0,n[s+4>>2]|0){case 0:case 3:{s=0;break}case 1:{y(h[s>>2])>2])>2]|0){case 2:{l=y(y(y(h[s>>2])*l)/y(100));break}case 1:{l=y(h[s>>2]);break}default:l=y(Ae)}return y(l)}function mp(s,l,c,f,d){s=s|0,l=l|0,c=y(c),f=y(f),d=y(d);var m=0,B=Ze;l=n[s+944>>2]|0?l:1,m=fr(n[s+4>>2]|0,l)|0,l=Ew(m,l)|0,c=y(Lm(s,m,c)),f=y(Lm(s,l,f)),B=y(c+y(K(s,m,d))),h[s+400+(n[1040+(m<<2)>>2]<<2)>>2]=B,c=y(c+y(re(s,m,d))),h[s+400+(n[1e3+(m<<2)>>2]<<2)>>2]=c,c=y(f+y(K(s,l,d))),h[s+400+(n[1040+(l<<2)>>2]<<2)>>2]=c,d=y(f+y(re(s,l,d))),h[s+400+(n[1e3+(l<<2)>>2]<<2)>>2]=d}function Dc(s,l,c,f){s=s|0,l=y(l),c=y(c),f=y(f);var d=0,m=0,B=Ze,k=Ze,Q=0,M=0,O=Ze,q=0,se=Ze,Ge=Ze,Me=Ze,Qe=Ze;if(l!=y(0)&&(d=s+400|0,Qe=y(h[d>>2]),m=s+404|0,Me=y(h[m>>2]),q=s+416|0,Ge=y(h[q>>2]),M=s+420|0,B=y(h[M>>2]),se=y(Qe+c),O=y(Me+f),f=y(se+Ge),k=y(O+B),Q=(n[s+988>>2]|0)==1,h[d>>2]=y(Go(Qe,l,0,Q)),h[m>>2]=y(Go(Me,l,0,Q)),c=y(kR(y(Ge*l),y(1))),Ii(c,y(0))|0?m=0:m=(Ii(c,y(1))|0)^1,c=y(kR(y(B*l),y(1))),Ii(c,y(0))|0?d=0:d=(Ii(c,y(1))|0)^1,Qe=y(Go(f,l,Q&m,Q&(m^1))),h[q>>2]=y(Qe-y(Go(se,l,0,Q))),Qe=y(Go(k,l,Q&d,Q&(d^1))),h[M>>2]=y(Qe-y(Go(O,l,0,Q))),m=(n[s+952>>2]|0)-(n[s+948>>2]|0)>>2,m|0)){d=0;do Dc(gs(s,d)|0,l,se,O),d=d+1|0;while((d|0)!=(m|0))}}function yw(s,l,c,f,d){switch(s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,c|0){case 5:case 0:{s=l7(n[489]|0,f,d)|0;break}default:s=t3e(f,d)|0}return s|0}function mg(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;d=E,E=E+16|0,m=d,n[m>>2]=f,yg(s,0,l,c,m),E=d}function yg(s,l,c,f,d){if(s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,s=s|0?s:956,x7[n[s+8>>2]&1](s,l,c,f,d)|0,(c|0)==5)Rt();else return}function Ga(s,l,c){s=s|0,l=l|0,c=c|0,o[s+l>>0]=c&1}function Qm(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(Eg(s,f),Qt(s,n[l>>2]|0,n[c>>2]|0,f))}function Eg(s,l){s=s|0,l=l|0;var c=0;if((N(s)|0)>>>0>>0&&Jr(s),l>>>0>1073741823)Rt();else{c=Kt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function Qt(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function N(s){return s=s|0,1073741823}function K(s,l,c){return s=s|0,l=l|0,c=y(c),pe(l)|0&&(n[s+96>>2]|0)!=0?s=s+92|0:s=Fn(s+60|0,n[1040+(l<<2)>>2]|0,992)|0,y(Je(s,c))}function re(s,l,c){return s=s|0,l=l|0,c=y(c),pe(l)|0&&(n[s+104>>2]|0)!=0?s=s+100|0:s=Fn(s+60|0,n[1e3+(l<<2)>>2]|0,992)|0,y(Je(s,c))}function pe(s){return s=s|0,(s|1|0)==3|0}function Je(s,l){return s=s|0,l=y(l),(n[s+4>>2]|0)==3?l=y(0):l=y(Gr(s,l)),y(l)}function mt(s,l){return s=s|0,l=l|0,s=n[s>>2]|0,((s|0)==0?(l|0)>1?l:1:s)|0}function fr(s,l){s=s|0,l=l|0;var c=0;e:do if((l|0)==2){switch(s|0){case 2:{s=3;break e}case 3:break;default:{c=4;break e}}s=2}else c=4;while(0);return s|0}function Cr(s,l){s=s|0,l=l|0;var c=Ze;return pe(l)|0&&(n[s+312>>2]|0)!=0&&(c=y(h[s+308>>2]),c>=y(0))||(c=y(_n(y(h[(Fn(s+276|0,n[1040+(l<<2)>>2]|0,992)|0)>>2]),y(0)))),y(c)}function yn(s,l){s=s|0,l=l|0;var c=Ze;return pe(l)|0&&(n[s+320>>2]|0)!=0&&(c=y(h[s+316>>2]),c>=y(0))||(c=y(_n(y(h[(Fn(s+276|0,n[1e3+(l<<2)>>2]|0,992)|0)>>2]),y(0)))),y(c)}function oi(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return pe(l)|0&&(n[s+240>>2]|0)!=0&&(f=y(Gr(s+236|0,c)),f>=y(0))||(f=y(_n(y(Gr(Fn(s+204|0,n[1040+(l<<2)>>2]|0,992)|0,c)),y(0)))),y(f)}function Oi(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return pe(l)|0&&(n[s+248>>2]|0)!=0&&(f=y(Gr(s+244|0,c)),f>=y(0))||(f=y(_n(y(Gr(Fn(s+204|0,n[1e3+(l<<2)>>2]|0,992)|0,c)),y(0)))),y(f)}function Cg(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=Ze,Q=Ze,M=Ze,O=Ze,q=Ze,se=Ze,Ge=0,Me=0,Qe=0;Qe=E,E=E+16|0,Ge=Qe,Me=s+964|0,Un(s,(n[Me>>2]|0)!=0,3519),k=y(En(s,2,l)),Q=y(En(s,0,l)),M=y(ln(s,2,l)),O=y(ln(s,0,l)),_t(l)|0?q=l:q=y(_n(y(0),y(y(l-M)-k))),_t(c)|0?se=c:se=y(_n(y(0),y(y(c-O)-Q))),(f|0)==1&(d|0)==1?(h[s+908>>2]=y(Bi(s,2,y(l-M),m,m)),l=y(Bi(s,0,y(c-O),B,m))):(k7[n[Me>>2]&1](Ge,s,q,f,se,d),q=y(k+y(h[Ge>>2])),se=y(l-M),h[s+908>>2]=y(Bi(s,2,(f|2|0)==2?q:se,m,m)),se=y(Q+y(h[Ge+4>>2])),l=y(c-O),l=y(Bi(s,0,(d|2|0)==2?se:l,B,m))),h[s+912>>2]=l,E=Qe}function Gv(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=Ze,Q=Ze,M=Ze,O=Ze;M=y(En(s,2,m)),k=y(En(s,0,m)),O=y(ln(s,2,m)),Q=y(ln(s,0,m)),l=y(l-O),h[s+908>>2]=y(Bi(s,2,(f|2|0)==2?M:l,m,m)),c=y(c-Q),h[s+912>>2]=y(Bi(s,0,(d|2|0)==2?k:c,B,m))}function Yv(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=0,Q=Ze,M=Ze;return k=(f|0)==2,!(l<=y(0)&k)&&!(c<=y(0)&(d|0)==2)&&!((f|0)==1&(d|0)==1)?s=0:(Q=y(ln(s,0,m)),M=y(ln(s,2,m)),k=l>2]=y(Bi(s,2,k?y(0):l,m,m)),l=y(c-Q),k=c>2]=y(Bi(s,0,k?y(0):l,B,m)),s=1),s|0}function Ew(s,l){return s=s|0,l=l|0,MA(s)|0?s=fr(2,l)|0:s=0,s|0}function yp(s,l,c){return s=s|0,l=l|0,c=y(c),c=y(oi(s,l,c)),y(c+y(Cr(s,l)))}function Cw(s,l,c){return s=s|0,l=l|0,c=y(c),c=y(Oi(s,l,c)),y(c+y(yn(s,l)))}function En(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(yp(s,l,c)),y(f+y(Cw(s,l,c)))}function Fm(s){return s=s|0,n[s+24>>2]|0?s=0:y(rs(s))!=y(0)?s=1:s=y(js(s))!=y(0),s|0}function rs(s){s=s|0;var l=Ze;if(n[s+944>>2]|0){if(l=y(h[s+44>>2]),_t(l)|0)return l=y(h[s+40>>2]),s=l>y(0)&((_t(l)|0)^1),y(s?l:y(0))}else l=y(0);return y(l)}function js(s){s=s|0;var l=Ze,c=0,f=Ze;do if(n[s+944>>2]|0){if(l=y(h[s+48>>2]),_t(l)|0){if(c=o[(n[s+976>>2]|0)+2>>0]|0,c<<24>>24==0&&(f=y(h[s+40>>2]),f>24?y(1):y(0)}}else l=y(0);while(0);return y(l)}function Bu(s){s=s|0;var l=0,c=0;if(zm(s+400|0,0,540)|0,o[s+985>>0]=1,$(s),c=wi(s)|0,c|0){l=s+948|0,s=0;do Bu(n[(n[l>>2]|0)+(s<<2)>>2]|0),s=s+1|0;while((s|0)!=(c|0))}}function Rm(s,l,c,f,d,m,B,k,Q,M){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=y(m),B=y(B),k=k|0,Q=Q|0,M=M|0;var O=0,q=Ze,se=0,Ge=0,Me=Ze,Qe=Ze,et=0,Xe=Ze,at=0,Ue=Ze,qe=0,Lt=0,Mr=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,xn=0,go=0;xn=E,E=E+16|0,Mr=xn+12|0,or=xn+8|0,Xt=xn+4|0,Pr=xn,ir=fr(n[s+4>>2]|0,Q)|0,qe=pe(ir)|0,q=y(Gr(ww(l)|0,qe?m:B)),Lt=ts(l,2,m)|0,Nr=ts(l,0,B)|0;do if(!(_t(q)|0)&&!(_t(qe?c:d)|0)){if(O=l+504|0,!(_t(y(h[O>>2]))|0)&&(!(Iw(n[l+976>>2]|0,0)|0)||(n[l+500>>2]|0)==(n[2278]|0)))break;h[O>>2]=y(_n(q,y(En(l,ir,m))))}else se=7;while(0);do if((se|0)==7){if(at=qe^1,!(at|Lt^1)){B=y(Gr(n[l+992>>2]|0,m)),h[l+504>>2]=y(_n(B,y(En(l,2,m))));break}if(!(qe|Nr^1)){B=y(Gr(n[l+996>>2]|0,B)),h[l+504>>2]=y(_n(B,y(En(l,0,m))));break}h[Mr>>2]=y(Ae),h[or>>2]=y(Ae),n[Xt>>2]=0,n[Pr>>2]=0,Xe=y(ln(l,2,m)),Ue=y(ln(l,0,m)),Lt?(Me=y(Xe+y(Gr(n[l+992>>2]|0,m))),h[Mr>>2]=Me,n[Xt>>2]=1,Ge=1):(Ge=0,Me=y(Ae)),Nr?(q=y(Ue+y(Gr(n[l+996>>2]|0,B))),h[or>>2]=q,n[Pr>>2]=1,O=1):(O=0,q=y(Ae)),se=n[s+32>>2]|0,qe&(se|0)==2?se=2:_t(Me)|0&&!(_t(c)|0)&&(h[Mr>>2]=c,n[Xt>>2]=2,Ge=2,Me=c),!((se|0)==2&at)&&_t(q)|0&&!(_t(d)|0)&&(h[or>>2]=d,n[Pr>>2]=2,O=2,q=d),Qe=y(h[l+396>>2]),et=_t(Qe)|0;do if(et)se=Ge;else{if((Ge|0)==1&at){h[or>>2]=y(y(Me-Xe)/Qe),n[Pr>>2]=1,O=1,se=1;break}qe&(O|0)==1?(h[Mr>>2]=y(Qe*y(q-Ue)),n[Xt>>2]=1,O=1,se=1):se=Ge}while(0);go=_t(c)|0,Ge=(ha(s,l)|0)!=4,!(qe|Lt|((f|0)!=1|go)|(Ge|(se|0)==1))&&(h[Mr>>2]=c,n[Xt>>2]=1,!et)&&(h[or>>2]=y(y(c-Xe)/Qe),n[Pr>>2]=1,O=1),!(Nr|at|((k|0)!=1|(_t(d)|0))|(Ge|(O|0)==1))&&(h[or>>2]=d,n[Pr>>2]=1,!et)&&(h[Mr>>2]=y(Qe*y(d-Ue)),n[Xt>>2]=1),yr(l,2,m,m,Xt,Mr),yr(l,0,B,m,Pr,or),c=y(h[Mr>>2]),d=y(h[or>>2]),fa(l,c,d,Q,n[Xt>>2]|0,n[Pr>>2]|0,m,B,0,3565,M)|0,B=y(h[l+908+(n[976+(ir<<2)>>2]<<2)>>2]),h[l+504>>2]=y(_n(B,y(En(l,ir,m))))}while(0);n[l+500>>2]=n[2278],E=xn}function Bi(s,l,c,f,d){return s=s|0,l=l|0,c=y(c),f=y(f),d=y(d),f=y(OA(s,l,c,f)),y(_n(f,y(En(s,l,d))))}function ha(s,l){return s=s|0,l=l|0,l=l+20|0,l=n[((n[l>>2]|0)==0?s+16|0:l)>>2]|0,(l|0)==5&&MA(n[s+4>>2]|0)|0&&(l=1),l|0}function vl(s,l){return s=s|0,l=l|0,pe(l)|0&&(n[s+96>>2]|0)!=0?l=4:l=n[1040+(l<<2)>>2]|0,s+60+(l<<3)|0}function Pc(s,l){return s=s|0,l=l|0,pe(l)|0&&(n[s+104>>2]|0)!=0?l=5:l=n[1e3+(l<<2)>>2]|0,s+60+(l<<3)|0}function yr(s,l,c,f,d,m){switch(s=s|0,l=l|0,c=y(c),f=y(f),d=d|0,m=m|0,c=y(Gr(s+380+(n[976+(l<<2)>>2]<<3)|0,c)),c=y(c+y(ln(s,l,f))),n[d>>2]|0){case 2:case 1:{d=_t(c)|0,f=y(h[m>>2]),h[m>>2]=d|f>2]=2,h[m>>2]=c);break}default:}}function gi(s,l){return s=s|0,l=l|0,s=s+132|0,pe(l)|0&&(n[(Fn(s,4,948)|0)+4>>2]|0)!=0?s=1:s=(n[(Fn(s,n[1040+(l<<2)>>2]|0,948)|0)+4>>2]|0)!=0,s|0}function Or(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0;return s=s+132|0,pe(l)|0&&(f=Fn(s,4,948)|0,(n[f+4>>2]|0)!=0)?d=4:(f=Fn(s,n[1040+(l<<2)>>2]|0,948)|0,n[f+4>>2]|0?d=4:c=y(0)),(d|0)==4&&(c=y(Gr(f,c))),y(c)}function ns(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(h[s+908+(n[976+(l<<2)>>2]<<2)>>2]),f=y(f+y(K(s,l,c))),y(f+y(re(s,l,c)))}function Yi(s){s=s|0;var l=0,c=0,f=0;e:do if(MA(n[s+4>>2]|0)|0)l=0;else if((n[s+16>>2]|0)!=5)if(c=wi(s)|0,!c)l=0;else for(l=0;;){if(f=gs(s,l)|0,(n[f+24>>2]|0)==0&&(n[f+20>>2]|0)==5){l=1;break e}if(l=l+1|0,l>>>0>=c>>>0){l=0;break}}else l=1;while(0);return l|0}function Tm(s,l){s=s|0,l=l|0;var c=Ze;return c=y(h[s+908+(n[976+(l<<2)>>2]<<2)>>2]),c>=y(0)&((_t(c)|0)^1)|0}function Ya(s){s=s|0;var l=Ze,c=0,f=0,d=0,m=0,B=0,k=0,Q=Ze;if(c=n[s+968>>2]|0,c)Q=y(h[s+908>>2]),l=y(h[s+912>>2]),l=y(D7[c&0](s,Q,l)),Un(s,(_t(l)|0)^1,3573);else{m=wi(s)|0;do if(m|0){for(c=0,d=0;;){if(f=gs(s,d)|0,n[f+940>>2]|0){B=8;break}if((n[f+24>>2]|0)!=1)if(k=(ha(s,f)|0)==5,k){c=f;break}else c=(c|0)==0?f:c;if(d=d+1|0,d>>>0>=m>>>0){B=8;break}}if((B|0)==8&&!c)break;return l=y(Ya(c)),y(l+y(h[c+404>>2]))}while(0);l=y(h[s+912>>2])}return y(l)}function OA(s,l,c,f){s=s|0,l=l|0,c=y(c),f=y(f);var d=Ze,m=0;return MA(l)|0?(l=1,m=3):pe(l)|0?(l=0,m=3):(f=y(Ae),d=y(Ae)),(m|0)==3&&(d=y(Gr(s+364+(l<<3)|0,f)),f=y(Gr(s+380+(l<<3)|0,f))),m=f=y(0)&((_t(f)|0)^1)),c=m?f:c,m=d>=y(0)&((_t(d)|0)^1)&c>2]|0,m)|0,Me=Ew(et,m)|0,Qe=pe(et)|0,q=y(ln(l,2,c)),se=y(ln(l,0,c)),ts(l,2,c)|0?k=y(q+y(Gr(n[l+992>>2]|0,c))):gi(l,2)|0&&sr(l,2)|0?(k=y(h[s+908>>2]),Q=y(Cr(s,2)),Q=y(k-y(Q+y(yn(s,2)))),k=y(Or(l,2,c)),k=y(Bi(l,2,y(Q-y(k+y(vu(l,2,c)))),c,c))):k=y(Ae),ts(l,0,d)|0?Q=y(se+y(Gr(n[l+996>>2]|0,d))):gi(l,0)|0&&sr(l,0)|0?(Q=y(h[s+912>>2]),at=y(Cr(s,0)),at=y(Q-y(at+y(yn(s,0)))),Q=y(Or(l,0,d)),Q=y(Bi(l,0,y(at-y(Q+y(vu(l,0,d)))),d,c))):Q=y(Ae),M=_t(k)|0,O=_t(Q)|0;do if(M^O&&(Ge=y(h[l+396>>2]),!(_t(Ge)|0)))if(M){k=y(q+y(y(Q-se)*Ge));break}else{at=y(se+y(y(k-q)/Ge)),Q=O?at:Q;break}while(0);O=_t(k)|0,M=_t(Q)|0,O|M&&(Ue=(O^1)&1,f=c>y(0)&((f|0)!=0&O),k=Qe?k:f?c:k,fa(l,k,Q,m,Qe?Ue:f?2:Ue,O&(M^1)&1,k,Q,0,3623,B)|0,k=y(h[l+908>>2]),k=y(k+y(ln(l,2,c))),Q=y(h[l+912>>2]),Q=y(Q+y(ln(l,0,c)))),fa(l,k,Q,m,1,1,k,Q,1,3635,B)|0,sr(l,et)|0&&!(gi(l,et)|0)?(Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),at=y(at-y(yn(s,et))),at=y(at-y(re(l,et,c))),at=y(at-y(vu(l,et,Qe?c:d))),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at):Xe=21;do if((Xe|0)==21){if(!(gi(l,et)|0)&&(n[s+8>>2]|0)==1){Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(y(at-y(h[l+908+(Ue<<2)>>2]))*y(.5)),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at;break}!(gi(l,et)|0)&&(n[s+8>>2]|0)==2&&(Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at)}while(0);sr(l,Me)|0&&!(gi(l,Me)|0)?(Ue=n[976+(Me<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),at=y(at-y(yn(s,Me))),at=y(at-y(re(l,Me,c))),at=y(at-y(vu(l,Me,Qe?d:c))),h[l+400+(n[1040+(Me<<2)>>2]<<2)>>2]=at):Xe=30;do if((Xe|0)==30&&!(gi(l,Me)|0)){if((ha(s,l)|0)==2){Ue=n[976+(Me<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(y(at-y(h[l+908+(Ue<<2)>>2]))*y(.5)),h[l+400+(n[1040+(Me<<2)>>2]<<2)>>2]=at;break}Ue=(ha(s,l)|0)==3,Ue^(n[s+28>>2]|0)==2&&(Ue=n[976+(Me<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),h[l+400+(n[1040+(Me<<2)>>2]<<2)>>2]=at)}while(0)}function Ep(s,l,c){s=s|0,l=l|0,c=c|0;var f=Ze,d=0;d=n[976+(c<<2)>>2]|0,f=y(h[l+908+(d<<2)>>2]),f=y(y(h[s+908+(d<<2)>>2])-f),f=y(f-y(h[l+400+(n[1040+(c<<2)>>2]<<2)>>2])),h[l+400+(n[1e3+(c<<2)>>2]<<2)>>2]=f}function MA(s){return s=s|0,(s|1|0)==1|0}function ww(s){s=s|0;var l=Ze;switch(n[s+56>>2]|0){case 0:case 3:{l=y(h[s+40>>2]),l>y(0)&((_t(l)|0)^1)?s=o[(n[s+976>>2]|0)+2>>0]|0?1056:992:s=1056;break}default:s=s+52|0}return s|0}function Iw(s,l){return s=s|0,l=l|0,(o[s+l>>0]|0)!=0|0}function sr(s,l){return s=s|0,l=l|0,s=s+132|0,pe(l)|0&&(n[(Fn(s,5,948)|0)+4>>2]|0)!=0?s=1:s=(n[(Fn(s,n[1e3+(l<<2)>>2]|0,948)|0)+4>>2]|0)!=0,s|0}function vu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0;return s=s+132|0,pe(l)|0&&(f=Fn(s,5,948)|0,(n[f+4>>2]|0)!=0)?d=4:(f=Fn(s,n[1e3+(l<<2)>>2]|0,948)|0,n[f+4>>2]|0?d=4:c=y(0)),(d|0)==4&&(c=y(Gr(f,c))),y(c)}function Lm(s,l,c){return s=s|0,l=l|0,c=y(c),gi(s,l)|0?c=y(Or(s,l,c)):c=y(-y(vu(s,l,c))),y(c)}function Du(s){return s=y(s),h[v>>2]=s,n[v>>2]|0|0}function Cp(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Rt();else{d=Kt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function wg(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function UA(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&>(s)}function _A(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;if(B=s+4|0,k=n[B>>2]|0,d=k-f|0,m=d>>2,s=l+(m<<2)|0,s>>>0>>0){f=k;do n[f>>2]=n[s>>2],s=s+4|0,f=(n[B>>2]|0)+4|0,n[B>>2]=f;while(s>>>0>>0)}m|0&&Lw(k+(0-m<<2)|0,l|0,d|0)|0}function Ig(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0;return k=l+4|0,Q=n[k>>2]|0,d=n[s>>2]|0,B=c,m=B-d|0,f=Q+(0-(m>>2)<<2)|0,n[k>>2]=f,(m|0)>0&&Dr(f|0,d|0,m|0)|0,d=s+4|0,m=l+8|0,f=(n[d>>2]|0)-B|0,(f|0)>0&&(Dr(n[m>>2]|0,c|0,f|0)|0,n[m>>2]=(n[m>>2]|0)+(f>>>2<<2)),B=n[s>>2]|0,n[s>>2]=n[k>>2],n[k>>2]=B,B=n[d>>2]|0,n[d>>2]=n[m>>2],n[m>>2]=B,B=s+8|0,c=l+12|0,s=n[B>>2]|0,n[B>>2]=n[c>>2],n[c>>2]=s,n[l>>2]=n[k>>2],Q|0}function Bw(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;if(B=n[l>>2]|0,m=n[c>>2]|0,(B|0)!=(m|0)){d=s+8|0,c=((m+-4-B|0)>>>2)+1|0,s=B,f=n[d>>2]|0;do n[f>>2]=n[s>>2],f=(n[d>>2]|0)+4|0,n[d>>2]=f,s=s+4|0;while((s|0)!=(m|0));n[l>>2]=B+(c<<2)}}function Om(){dc()}function ga(){var s=0;return s=Kt(4)|0,HA(s),s|0}function HA(s){s=s|0,n[s>>2]=ys()|0}function Sc(s){s=s|0,s|0&&(Bg(s),gt(s))}function Bg(s){s=s|0,tt(n[s>>2]|0)}function Mm(s,l,c){s=s|0,l=l|0,c=c|0,Ga(n[s>>2]|0,l,c)}function fo(s,l){s=s|0,l=y(l),pa(n[s>>2]|0,l)}function Wv(s,l){return s=s|0,l=l|0,Iw(n[s>>2]|0,l)|0}function vw(){var s=0;return s=Kt(8)|0,Kv(s,0),s|0}function Kv(s,l){s=s|0,l=l|0,l?l=Ci(n[l>>2]|0)|0:l=co()|0,n[s>>2]=l,n[s+4>>2]=0,bi(l,s)}function pF(s){s=s|0;var l=0;return l=Kt(8)|0,Kv(l,s),l|0}function Vv(s){s=s|0,s|0&&(Pu(s),gt(s))}function Pu(s){s=s|0;var l=0;la(n[s>>2]|0),l=s+4|0,s=n[l>>2]|0,n[l>>2]=0,s|0&&(jA(s),gt(s))}function jA(s){s=s|0,qA(s)}function qA(s){s=s|0,s=n[s>>2]|0,s|0&&PA(s|0)}function Dw(s){return s=s|0,jo(s)|0}function Um(s){s=s|0;var l=0,c=0;c=s+4|0,l=n[c>>2]|0,n[c>>2]=0,l|0&&(jA(l),gt(l)),_s(n[s>>2]|0)}function hF(s,l){s=s|0,l=l|0,Zr(n[s>>2]|0,n[l>>2]|0)}function gF(s,l){s=s|0,l=l|0,ca(n[s>>2]|0,l)}function zv(s,l,c){s=s|0,l=l|0,c=+c,yu(n[s>>2]|0,l,y(c))}function Jv(s,l,c){s=s|0,l=l|0,c=+c,Es(n[s>>2]|0,l,y(c))}function Pw(s,l){s=s|0,l=l|0,gu(n[s>>2]|0,l)}function Su(s,l){s=s|0,l=l|0,du(n[s>>2]|0,l)}function dF(s,l){s=s|0,l=l|0,QA(n[s>>2]|0,l)}function mF(s,l){s=s|0,l=l|0,xA(n[s>>2]|0,l)}function wp(s,l){s=s|0,l=l|0,yc(n[s>>2]|0,l)}function yF(s,l){s=s|0,l=l|0,cp(n[s>>2]|0,l)}function Xv(s,l,c){s=s|0,l=l|0,c=+c,Cc(n[s>>2]|0,l,y(c))}function GA(s,l,c){s=s|0,l=l|0,c=+c,G(n[s>>2]|0,l,y(c))}function EF(s,l){s=s|0,l=l|0,wl(n[s>>2]|0,l)}function CF(s,l){s=s|0,l=l|0,sg(n[s>>2]|0,l)}function Zv(s,l){s=s|0,l=l|0,up(n[s>>2]|0,l)}function Sw(s,l){s=s|0,l=+l,FA(n[s>>2]|0,y(l))}function bw(s,l){s=s|0,l=+l,Ha(n[s>>2]|0,y(l))}function wF(s,l){s=s|0,l=+l,Gi(n[s>>2]|0,y(l))}function IF(s,l){s=s|0,l=+l,Hs(n[s>>2]|0,y(l))}function Dl(s,l){s=s|0,l=+l,mu(n[s>>2]|0,y(l))}function xw(s,l){s=s|0,l=+l,dw(n[s>>2]|0,y(l))}function BF(s,l){s=s|0,l=+l,RA(n[s>>2]|0,y(l))}function YA(s){s=s|0,Ap(n[s>>2]|0)}function _m(s,l){s=s|0,l=+l,Cs(n[s>>2]|0,y(l))}function bu(s,l){s=s|0,l=+l,lg(n[s>>2]|0,y(l))}function kw(s){s=s|0,cg(n[s>>2]|0)}function Qw(s,l){s=s|0,l=+l,fp(n[s>>2]|0,y(l))}function vF(s,l){s=s|0,l=+l,Ic(n[s>>2]|0,y(l))}function $v(s,l){s=s|0,l=+l,Pm(n[s>>2]|0,y(l))}function WA(s,l){s=s|0,l=+l,Ag(n[s>>2]|0,y(l))}function eD(s,l){s=s|0,l=+l,Cu(n[s>>2]|0,y(l))}function Hm(s,l){s=s|0,l=+l,Sm(n[s>>2]|0,y(l))}function tD(s,l){s=s|0,l=+l,wu(n[s>>2]|0,y(l))}function rD(s,l){s=s|0,l=+l,mw(n[s>>2]|0,y(l))}function jm(s,l){s=s|0,l=+l,Aa(n[s>>2]|0,y(l))}function nD(s,l,c){s=s|0,l=l|0,c=+c,Eu(n[s>>2]|0,l,y(c))}function DF(s,l,c){s=s|0,l=l|0,c=+c,xi(n[s>>2]|0,l,y(c))}function P(s,l,c){s=s|0,l=l|0,c=+c,wc(n[s>>2]|0,l,y(c))}function D(s){return s=s|0,ig(n[s>>2]|0)|0}function T(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=E,E=E+16|0,d=f,Ec(d,n[l>>2]|0,c),j(s,d),E=f}function j(s,l){s=s|0,l=l|0,Y(s,n[l+4>>2]|0,+y(h[l>>2]))}function Y(s,l,c){s=s|0,l=l|0,c=+c,n[s>>2]=l,C[s+8>>3]=c}function fe(s){return s=s|0,ng(n[s>>2]|0)|0}function ve(s){return s=s|0,uo(n[s>>2]|0)|0}function vt(s){return s=s|0,mc(n[s>>2]|0)|0}function wt(s){return s=s|0,kA(n[s>>2]|0)|0}function xt(s){return s=s|0,Dm(n[s>>2]|0)|0}function _r(s){return s=s|0,rg(n[s>>2]|0)|0}function is(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=E,E=E+16|0,d=f,Dt(d,n[l>>2]|0,c),j(s,d),E=f}function di(s){return s=s|0,$n(n[s>>2]|0)|0}function po(s){return s=s|0,og(n[s>>2]|0)|0}function KA(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,ua(f,n[l>>2]|0),j(s,f),E=c}function Yo(s){return s=s|0,+ +y(qi(n[s>>2]|0))}function rt(s){return s=s|0,+ +y(es(n[s>>2]|0))}function Ve(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,Br(f,n[l>>2]|0),j(s,f),E=c}function At(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,ug(f,n[l>>2]|0),j(s,f),E=c}function Wt(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,Ct(f,n[l>>2]|0),j(s,f),E=c}function vr(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,fg(f,n[l>>2]|0),j(s,f),E=c}function Sn(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,pg(f,n[l>>2]|0),j(s,f),E=c}function Fr(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,bm(f,n[l>>2]|0),j(s,f),E=c}function bn(s){return s=s|0,+ +y(Bc(n[s>>2]|0))}function ai(s,l){return s=s|0,l=l|0,+ +y(ag(n[s>>2]|0,l))}function en(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=E,E=E+16|0,d=f,ct(d,n[l>>2]|0,c),j(s,d),E=f}function ho(s,l,c){s=s|0,l=l|0,c=c|0,nr(n[s>>2]|0,n[l>>2]|0,c)}function PF(s,l){s=s|0,l=l|0,ms(n[s>>2]|0,n[l>>2]|0)}function sve(s){return s=s|0,wi(n[s>>2]|0)|0}function ove(s){return s=s|0,s=pt(n[s>>2]|0)|0,s?s=Dw(s)|0:s=0,s|0}function ave(s,l){return s=s|0,l=l|0,s=gs(n[s>>2]|0,l)|0,s?s=Dw(s)|0:s=0,s|0}function lve(s,l){s=s|0,l=l|0;var c=0,f=0;f=Kt(4)|0,e5(f,l),c=s+4|0,l=n[c>>2]|0,n[c>>2]=f,l|0&&(jA(l),gt(l)),It(n[s>>2]|0,1)}function e5(s,l){s=s|0,l=l|0,Cve(s,l)}function cve(s,l,c,f,d,m){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=m|0;var B=0,k=0;B=E,E=E+16|0,k=B,uve(k,jo(l)|0,+c,f,+d,m),h[s>>2]=y(+C[k>>3]),h[s+4>>2]=y(+C[k+8>>3]),E=B}function uve(s,l,c,f,d,m){s=s|0,l=l|0,c=+c,f=f|0,d=+d,m=m|0;var B=0,k=0,Q=0,M=0,O=0;B=E,E=E+32|0,O=B+8|0,M=B+20|0,Q=B,k=B+16|0,C[O>>3]=c,n[M>>2]=f,C[Q>>3]=d,n[k>>2]=m,Ave(s,n[l+4>>2]|0,O,M,Q,k),E=B}function Ave(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0;B=E,E=E+16|0,k=B,Ka(k),l=da(l)|0,fve(s,l,+C[c>>3],n[f>>2]|0,+C[d>>3],n[m>>2]|0),Va(k),E=B}function da(s){return s=s|0,n[s>>2]|0}function fve(s,l,c,f,d,m){s=s|0,l=l|0,c=+c,f=f|0,d=+d,m=m|0;var B=0;B=Pl(pve()|0)|0,c=+VA(c),f=SF(f)|0,d=+VA(d),hve(s,hi(0,B|0,l|0,+c,f|0,+d,SF(m)|0)|0)}function pve(){var s=0;return o[7608]|0||(yve(9120),s=7608,n[s>>2]=1,n[s+4>>2]=0),9120}function Pl(s){return s=s|0,n[s+8>>2]|0}function VA(s){return s=+s,+ +bF(s)}function SF(s){return s=s|0,r5(s)|0}function hve(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=E,E=E+32|0,c=d,f=l,f&1?(gve(c,0),ii(f|0,c|0)|0,dve(s,c),mve(c)):(n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=n[l+8>>2],n[s+12>>2]=n[l+12>>2]),E=d}function gve(s,l){s=s|0,l=l|0,t5(s,l),n[s+8>>2]=0,o[s+24>>0]=0}function dve(s,l){s=s|0,l=l|0,l=l+8|0,n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=n[l+8>>2],n[s+12>>2]=n[l+12>>2]}function mve(s){s=s|0,o[s+24>>0]=0}function t5(s,l){s=s|0,l=l|0,n[s>>2]=l}function r5(s){return s=s|0,s|0}function bF(s){return s=+s,+s}function yve(s){s=s|0,Sl(s,Eve()|0,4)}function Eve(){return 1064}function Sl(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=lp(l|0,c+1|0)|0}function Cve(s,l){s=s|0,l=l|0,l=n[l>>2]|0,n[s>>2]=l,yl(l|0)}function wve(s){s=s|0;var l=0,c=0;c=s+4|0,l=n[c>>2]|0,n[c>>2]=0,l|0&&(jA(l),gt(l)),It(n[s>>2]|0,0)}function Ive(s){s=s|0,Tt(n[s>>2]|0)}function Bve(s){return s=s|0,er(n[s>>2]|0)|0}function vve(s,l,c,f){s=s|0,l=+l,c=+c,f=f|0,vc(n[s>>2]|0,y(l),y(c),f)}function Dve(s){return s=s|0,+ +y(Il(n[s>>2]|0))}function Pve(s){return s=s|0,+ +y(hg(n[s>>2]|0))}function Sve(s){return s=s|0,+ +y(Iu(n[s>>2]|0))}function bve(s){return s=s|0,+ +y(TA(n[s>>2]|0))}function xve(s){return s=s|0,+ +y(pp(n[s>>2]|0))}function kve(s){return s=s|0,+ +y(ja(n[s>>2]|0))}function Qve(s,l){s=s|0,l=l|0,C[s>>3]=+y(Il(n[l>>2]|0)),C[s+8>>3]=+y(hg(n[l>>2]|0)),C[s+16>>3]=+y(Iu(n[l>>2]|0)),C[s+24>>3]=+y(TA(n[l>>2]|0)),C[s+32>>3]=+y(pp(n[l>>2]|0)),C[s+40>>3]=+y(ja(n[l>>2]|0))}function Fve(s,l){return s=s|0,l=l|0,+ +y(gg(n[s>>2]|0,l))}function Rve(s,l){return s=s|0,l=l|0,+ +y(hp(n[s>>2]|0,l))}function Tve(s,l){return s=s|0,l=l|0,+ +y(qo(n[s>>2]|0,l))}function Nve(){return Pn()|0}function Lve(){Ove(),Mve(),Uve(),_ve(),Hve(),jve()}function Ove(){HNe(11713,4938,1)}function Mve(){oNe(10448)}function Uve(){HTe(10408)}function _ve(){uTe(10324)}function Hve(){yFe(10096)}function jve(){qve(9132)}function qve(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0,Ge=0,Me=0,Qe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Mr=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,xn=0,go=0,mo=0,yo=0,ya=0,kp=0,Qp=0,bl=0,Fp=0,Fu=0,Ru=0,Rp=0,Tp=0,Np=0,Xr=0,xl=0,Lp=0,xc=0,Op=0,Mp=0,Tu=0,Nu=0,kc=0,qs=0,Ja=0,Wo=0,kl=0,rf=0,nf=0,Lu=0,sf=0,of=0,Gs=0,vs=0,Ql=0,Rn=0,af=0,Eo=0,Qc=0,Co=0,Fc=0,lf=0,cf=0,Rc=0,Ys=0,Fl=0,uf=0,Af=0,ff=0,xr=0,zn=0,Ds=0,wo=0,Ws=0,Rr=0,ur=0,Rl=0;l=E,E=E+672|0,c=l+656|0,Rl=l+648|0,ur=l+640|0,Rr=l+632|0,Ws=l+624|0,wo=l+616|0,Ds=l+608|0,zn=l+600|0,xr=l+592|0,ff=l+584|0,Af=l+576|0,uf=l+568|0,Fl=l+560|0,Ys=l+552|0,Rc=l+544|0,cf=l+536|0,lf=l+528|0,Fc=l+520|0,Co=l+512|0,Qc=l+504|0,Eo=l+496|0,af=l+488|0,Rn=l+480|0,Ql=l+472|0,vs=l+464|0,Gs=l+456|0,of=l+448|0,sf=l+440|0,Lu=l+432|0,nf=l+424|0,rf=l+416|0,kl=l+408|0,Wo=l+400|0,Ja=l+392|0,qs=l+384|0,kc=l+376|0,Nu=l+368|0,Tu=l+360|0,Mp=l+352|0,Op=l+344|0,xc=l+336|0,Lp=l+328|0,xl=l+320|0,Xr=l+312|0,Np=l+304|0,Tp=l+296|0,Rp=l+288|0,Ru=l+280|0,Fu=l+272|0,Fp=l+264|0,bl=l+256|0,Qp=l+248|0,kp=l+240|0,ya=l+232|0,yo=l+224|0,mo=l+216|0,go=l+208|0,xn=l+200|0,ir=l+192|0,Nr=l+184|0,Pr=l+176|0,Xt=l+168|0,or=l+160|0,Mr=l+152|0,Lt=l+144|0,qe=l+136|0,Ue=l+128|0,at=l+120|0,Xe=l+112|0,et=l+104|0,Qe=l+96|0,Me=l+88|0,Ge=l+80|0,se=l+72|0,q=l+64|0,O=l+56|0,M=l+48|0,Q=l+40|0,k=l+32|0,B=l+24|0,m=l+16|0,d=l+8|0,f=l,Gve(s,3646),Yve(s,3651,2)|0,Wve(s,3665,2)|0,Kve(s,3682,18)|0,n[Rl>>2]=19,n[Rl+4>>2]=0,n[c>>2]=n[Rl>>2],n[c+4>>2]=n[Rl+4>>2],Fw(s,3690,c)|0,n[ur>>2]=1,n[ur+4>>2]=0,n[c>>2]=n[ur>>2],n[c+4>>2]=n[ur+4>>2],Vve(s,3696,c)|0,n[Rr>>2]=2,n[Rr+4>>2]=0,n[c>>2]=n[Rr>>2],n[c+4>>2]=n[Rr+4>>2],xu(s,3706,c)|0,n[Ws>>2]=1,n[Ws+4>>2]=0,n[c>>2]=n[Ws>>2],n[c+4>>2]=n[Ws+4>>2],vg(s,3722,c)|0,n[wo>>2]=2,n[wo+4>>2]=0,n[c>>2]=n[wo>>2],n[c+4>>2]=n[wo+4>>2],vg(s,3734,c)|0,n[Ds>>2]=3,n[Ds+4>>2]=0,n[c>>2]=n[Ds>>2],n[c+4>>2]=n[Ds+4>>2],xu(s,3753,c)|0,n[zn>>2]=4,n[zn+4>>2]=0,n[c>>2]=n[zn>>2],n[c+4>>2]=n[zn+4>>2],xu(s,3769,c)|0,n[xr>>2]=5,n[xr+4>>2]=0,n[c>>2]=n[xr>>2],n[c+4>>2]=n[xr+4>>2],xu(s,3783,c)|0,n[ff>>2]=6,n[ff+4>>2]=0,n[c>>2]=n[ff>>2],n[c+4>>2]=n[ff+4>>2],xu(s,3796,c)|0,n[Af>>2]=7,n[Af+4>>2]=0,n[c>>2]=n[Af>>2],n[c+4>>2]=n[Af+4>>2],xu(s,3813,c)|0,n[uf>>2]=8,n[uf+4>>2]=0,n[c>>2]=n[uf>>2],n[c+4>>2]=n[uf+4>>2],xu(s,3825,c)|0,n[Fl>>2]=3,n[Fl+4>>2]=0,n[c>>2]=n[Fl>>2],n[c+4>>2]=n[Fl+4>>2],vg(s,3843,c)|0,n[Ys>>2]=4,n[Ys+4>>2]=0,n[c>>2]=n[Ys>>2],n[c+4>>2]=n[Ys+4>>2],vg(s,3853,c)|0,n[Rc>>2]=9,n[Rc+4>>2]=0,n[c>>2]=n[Rc>>2],n[c+4>>2]=n[Rc+4>>2],xu(s,3870,c)|0,n[cf>>2]=10,n[cf+4>>2]=0,n[c>>2]=n[cf>>2],n[c+4>>2]=n[cf+4>>2],xu(s,3884,c)|0,n[lf>>2]=11,n[lf+4>>2]=0,n[c>>2]=n[lf>>2],n[c+4>>2]=n[lf+4>>2],xu(s,3896,c)|0,n[Fc>>2]=1,n[Fc+4>>2]=0,n[c>>2]=n[Fc>>2],n[c+4>>2]=n[Fc+4>>2],Is(s,3907,c)|0,n[Co>>2]=2,n[Co+4>>2]=0,n[c>>2]=n[Co>>2],n[c+4>>2]=n[Co+4>>2],Is(s,3915,c)|0,n[Qc>>2]=3,n[Qc+4>>2]=0,n[c>>2]=n[Qc>>2],n[c+4>>2]=n[Qc+4>>2],Is(s,3928,c)|0,n[Eo>>2]=4,n[Eo+4>>2]=0,n[c>>2]=n[Eo>>2],n[c+4>>2]=n[Eo+4>>2],Is(s,3948,c)|0,n[af>>2]=5,n[af+4>>2]=0,n[c>>2]=n[af>>2],n[c+4>>2]=n[af+4>>2],Is(s,3960,c)|0,n[Rn>>2]=6,n[Rn+4>>2]=0,n[c>>2]=n[Rn>>2],n[c+4>>2]=n[Rn+4>>2],Is(s,3974,c)|0,n[Ql>>2]=7,n[Ql+4>>2]=0,n[c>>2]=n[Ql>>2],n[c+4>>2]=n[Ql+4>>2],Is(s,3983,c)|0,n[vs>>2]=20,n[vs+4>>2]=0,n[c>>2]=n[vs>>2],n[c+4>>2]=n[vs+4>>2],Fw(s,3999,c)|0,n[Gs>>2]=8,n[Gs+4>>2]=0,n[c>>2]=n[Gs>>2],n[c+4>>2]=n[Gs+4>>2],Is(s,4012,c)|0,n[of>>2]=9,n[of+4>>2]=0,n[c>>2]=n[of>>2],n[c+4>>2]=n[of+4>>2],Is(s,4022,c)|0,n[sf>>2]=21,n[sf+4>>2]=0,n[c>>2]=n[sf>>2],n[c+4>>2]=n[sf+4>>2],Fw(s,4039,c)|0,n[Lu>>2]=10,n[Lu+4>>2]=0,n[c>>2]=n[Lu>>2],n[c+4>>2]=n[Lu+4>>2],Is(s,4053,c)|0,n[nf>>2]=11,n[nf+4>>2]=0,n[c>>2]=n[nf>>2],n[c+4>>2]=n[nf+4>>2],Is(s,4065,c)|0,n[rf>>2]=12,n[rf+4>>2]=0,n[c>>2]=n[rf>>2],n[c+4>>2]=n[rf+4>>2],Is(s,4084,c)|0,n[kl>>2]=13,n[kl+4>>2]=0,n[c>>2]=n[kl>>2],n[c+4>>2]=n[kl+4>>2],Is(s,4097,c)|0,n[Wo>>2]=14,n[Wo+4>>2]=0,n[c>>2]=n[Wo>>2],n[c+4>>2]=n[Wo+4>>2],Is(s,4117,c)|0,n[Ja>>2]=15,n[Ja+4>>2]=0,n[c>>2]=n[Ja>>2],n[c+4>>2]=n[Ja+4>>2],Is(s,4129,c)|0,n[qs>>2]=16,n[qs+4>>2]=0,n[c>>2]=n[qs>>2],n[c+4>>2]=n[qs+4>>2],Is(s,4148,c)|0,n[kc>>2]=17,n[kc+4>>2]=0,n[c>>2]=n[kc>>2],n[c+4>>2]=n[kc+4>>2],Is(s,4161,c)|0,n[Nu>>2]=18,n[Nu+4>>2]=0,n[c>>2]=n[Nu>>2],n[c+4>>2]=n[Nu+4>>2],Is(s,4181,c)|0,n[Tu>>2]=5,n[Tu+4>>2]=0,n[c>>2]=n[Tu>>2],n[c+4>>2]=n[Tu+4>>2],vg(s,4196,c)|0,n[Mp>>2]=6,n[Mp+4>>2]=0,n[c>>2]=n[Mp>>2],n[c+4>>2]=n[Mp+4>>2],vg(s,4206,c)|0,n[Op>>2]=7,n[Op+4>>2]=0,n[c>>2]=n[Op>>2],n[c+4>>2]=n[Op+4>>2],vg(s,4217,c)|0,n[xc>>2]=3,n[xc+4>>2]=0,n[c>>2]=n[xc>>2],n[c+4>>2]=n[xc+4>>2],zA(s,4235,c)|0,n[Lp>>2]=1,n[Lp+4>>2]=0,n[c>>2]=n[Lp>>2],n[c+4>>2]=n[Lp+4>>2],xF(s,4251,c)|0,n[xl>>2]=4,n[xl+4>>2]=0,n[c>>2]=n[xl>>2],n[c+4>>2]=n[xl+4>>2],zA(s,4263,c)|0,n[Xr>>2]=5,n[Xr+4>>2]=0,n[c>>2]=n[Xr>>2],n[c+4>>2]=n[Xr+4>>2],zA(s,4279,c)|0,n[Np>>2]=6,n[Np+4>>2]=0,n[c>>2]=n[Np>>2],n[c+4>>2]=n[Np+4>>2],zA(s,4293,c)|0,n[Tp>>2]=7,n[Tp+4>>2]=0,n[c>>2]=n[Tp>>2],n[c+4>>2]=n[Tp+4>>2],zA(s,4306,c)|0,n[Rp>>2]=8,n[Rp+4>>2]=0,n[c>>2]=n[Rp>>2],n[c+4>>2]=n[Rp+4>>2],zA(s,4323,c)|0,n[Ru>>2]=9,n[Ru+4>>2]=0,n[c>>2]=n[Ru>>2],n[c+4>>2]=n[Ru+4>>2],zA(s,4335,c)|0,n[Fu>>2]=2,n[Fu+4>>2]=0,n[c>>2]=n[Fu>>2],n[c+4>>2]=n[Fu+4>>2],xF(s,4353,c)|0,n[Fp>>2]=12,n[Fp+4>>2]=0,n[c>>2]=n[Fp>>2],n[c+4>>2]=n[Fp+4>>2],Dg(s,4363,c)|0,n[bl>>2]=1,n[bl+4>>2]=0,n[c>>2]=n[bl>>2],n[c+4>>2]=n[bl+4>>2],JA(s,4376,c)|0,n[Qp>>2]=2,n[Qp+4>>2]=0,n[c>>2]=n[Qp>>2],n[c+4>>2]=n[Qp+4>>2],JA(s,4388,c)|0,n[kp>>2]=13,n[kp+4>>2]=0,n[c>>2]=n[kp>>2],n[c+4>>2]=n[kp+4>>2],Dg(s,4402,c)|0,n[ya>>2]=14,n[ya+4>>2]=0,n[c>>2]=n[ya>>2],n[c+4>>2]=n[ya+4>>2],Dg(s,4411,c)|0,n[yo>>2]=15,n[yo+4>>2]=0,n[c>>2]=n[yo>>2],n[c+4>>2]=n[yo+4>>2],Dg(s,4421,c)|0,n[mo>>2]=16,n[mo+4>>2]=0,n[c>>2]=n[mo>>2],n[c+4>>2]=n[mo+4>>2],Dg(s,4433,c)|0,n[go>>2]=17,n[go+4>>2]=0,n[c>>2]=n[go>>2],n[c+4>>2]=n[go+4>>2],Dg(s,4446,c)|0,n[xn>>2]=18,n[xn+4>>2]=0,n[c>>2]=n[xn>>2],n[c+4>>2]=n[xn+4>>2],Dg(s,4458,c)|0,n[ir>>2]=3,n[ir+4>>2]=0,n[c>>2]=n[ir>>2],n[c+4>>2]=n[ir+4>>2],JA(s,4471,c)|0,n[Nr>>2]=1,n[Nr+4>>2]=0,n[c>>2]=n[Nr>>2],n[c+4>>2]=n[Nr+4>>2],iD(s,4486,c)|0,n[Pr>>2]=10,n[Pr+4>>2]=0,n[c>>2]=n[Pr>>2],n[c+4>>2]=n[Pr+4>>2],zA(s,4496,c)|0,n[Xt>>2]=11,n[Xt+4>>2]=0,n[c>>2]=n[Xt>>2],n[c+4>>2]=n[Xt+4>>2],zA(s,4508,c)|0,n[or>>2]=3,n[or+4>>2]=0,n[c>>2]=n[or>>2],n[c+4>>2]=n[or+4>>2],xF(s,4519,c)|0,n[Mr>>2]=4,n[Mr+4>>2]=0,n[c>>2]=n[Mr>>2],n[c+4>>2]=n[Mr+4>>2],zve(s,4530,c)|0,n[Lt>>2]=19,n[Lt+4>>2]=0,n[c>>2]=n[Lt>>2],n[c+4>>2]=n[Lt+4>>2],Jve(s,4542,c)|0,n[qe>>2]=12,n[qe+4>>2]=0,n[c>>2]=n[qe>>2],n[c+4>>2]=n[qe+4>>2],Xve(s,4554,c)|0,n[Ue>>2]=13,n[Ue+4>>2]=0,n[c>>2]=n[Ue>>2],n[c+4>>2]=n[Ue+4>>2],Zve(s,4568,c)|0,n[at>>2]=2,n[at+4>>2]=0,n[c>>2]=n[at>>2],n[c+4>>2]=n[at+4>>2],$ve(s,4578,c)|0,n[Xe>>2]=20,n[Xe+4>>2]=0,n[c>>2]=n[Xe>>2],n[c+4>>2]=n[Xe+4>>2],eDe(s,4587,c)|0,n[et>>2]=22,n[et+4>>2]=0,n[c>>2]=n[et>>2],n[c+4>>2]=n[et+4>>2],Fw(s,4602,c)|0,n[Qe>>2]=23,n[Qe+4>>2]=0,n[c>>2]=n[Qe>>2],n[c+4>>2]=n[Qe+4>>2],Fw(s,4619,c)|0,n[Me>>2]=14,n[Me+4>>2]=0,n[c>>2]=n[Me>>2],n[c+4>>2]=n[Me+4>>2],tDe(s,4629,c)|0,n[Ge>>2]=1,n[Ge+4>>2]=0,n[c>>2]=n[Ge>>2],n[c+4>>2]=n[Ge+4>>2],rDe(s,4637,c)|0,n[se>>2]=4,n[se+4>>2]=0,n[c>>2]=n[se>>2],n[c+4>>2]=n[se+4>>2],JA(s,4653,c)|0,n[q>>2]=5,n[q+4>>2]=0,n[c>>2]=n[q>>2],n[c+4>>2]=n[q+4>>2],JA(s,4669,c)|0,n[O>>2]=6,n[O+4>>2]=0,n[c>>2]=n[O>>2],n[c+4>>2]=n[O+4>>2],JA(s,4686,c)|0,n[M>>2]=7,n[M+4>>2]=0,n[c>>2]=n[M>>2],n[c+4>>2]=n[M+4>>2],JA(s,4701,c)|0,n[Q>>2]=8,n[Q+4>>2]=0,n[c>>2]=n[Q>>2],n[c+4>>2]=n[Q+4>>2],JA(s,4719,c)|0,n[k>>2]=9,n[k+4>>2]=0,n[c>>2]=n[k>>2],n[c+4>>2]=n[k+4>>2],JA(s,4736,c)|0,n[B>>2]=21,n[B+4>>2]=0,n[c>>2]=n[B>>2],n[c+4>>2]=n[B+4>>2],nDe(s,4754,c)|0,n[m>>2]=2,n[m+4>>2]=0,n[c>>2]=n[m>>2],n[c+4>>2]=n[m+4>>2],iD(s,4772,c)|0,n[d>>2]=3,n[d+4>>2]=0,n[c>>2]=n[d>>2],n[c+4>>2]=n[d+4>>2],iD(s,4790,c)|0,n[f>>2]=4,n[f+4>>2]=0,n[c>>2]=n[f>>2],n[c+4>>2]=n[f+4>>2],iD(s,4808,c)|0,E=l}function Gve(s,l){s=s|0,l=l|0;var c=0;c=cFe()|0,n[s>>2]=c,uFe(c,l),Sp(n[s>>2]|0)}function Yve(s,l,c){return s=s|0,l=l|0,c=c|0,zQe(s,pn(l)|0,c,0),s|0}function Wve(s,l,c){return s=s|0,l=l|0,c=c|0,RQe(s,pn(l)|0,c,0),s|0}function Kve(s,l,c){return s=s|0,l=l|0,c=c|0,EQe(s,pn(l)|0,c,0),s|0}function Fw(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],nQe(s,l,d),E=f,s|0}function Vve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Mke(s,l,d),E=f,s|0}function xu(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ike(s,l,d),E=f,s|0}function vg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oke(s,l,d),E=f,s|0}function Is(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Gxe(s,l,d),E=f,s|0}function zA(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],bxe(s,l,d),E=f,s|0}function xF(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],fxe(s,l,d),E=f,s|0}function Dg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Mbe(s,l,d),E=f,s|0}function JA(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ibe(s,l,d),E=f,s|0}function iD(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],obe(s,l,d),E=f,s|0}function zve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],GSe(s,l,d),E=f,s|0}function Jve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],bSe(s,l,d),E=f,s|0}function Xve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],pSe(s,l,d),E=f,s|0}function Zve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ZPe(s,l,d),E=f,s|0}function $ve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],NPe(s,l,d),E=f,s|0}function eDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],yPe(s,l,d),E=f,s|0}function tDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],rPe(s,l,d),E=f,s|0}function rDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],MDe(s,l,d),E=f,s|0}function nDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],iDe(s,l,d),E=f,s|0}function iDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],sDe(s,c,d,1),E=f}function pn(s){return s=s|0,s|0}function sDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=kF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=oDe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,aDe(m,f)|0,f),E=d}function kF(){var s=0,l=0;if(o[7616]|0||(s5(9136),tr(24,9136,U|0)|0,l=7616,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9136)|0)){s=9136,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));s5(9136)}return 9136}function oDe(s){return s=s|0,0}function aDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=kF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],i5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uDe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function hn(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,M=0,O=0,q=0,se=0,Ge=0;B=E,E=E+32|0,se=B+24|0,q=B+20|0,Q=B+16|0,O=B+12|0,M=B+8|0,k=B+4|0,Ge=B,n[q>>2]=l,n[Q>>2]=c,n[O>>2]=f,n[M>>2]=d,n[k>>2]=m,m=s+28|0,n[Ge>>2]=n[m>>2],n[se>>2]=n[Ge>>2],lDe(s+24|0,se,q,O,M,Q,k)|0,n[m>>2]=n[n[m>>2]>>2],E=B}function lDe(s,l,c,f,d,m,B){return s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0,s=cDe(l)|0,l=Kt(24)|0,n5(l+4|0,n[c>>2]|0,n[f>>2]|0,n[d>>2]|0,n[m>>2]|0,n[B>>2]|0),n[l>>2]=n[s>>2],n[s>>2]=l,l|0}function cDe(s){return s=s|0,n[s>>2]|0}function n5(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=f,n[s+12>>2]=d,n[s+16>>2]=m}function gr(s,l){return s=s|0,l=l|0,l|s|0}function i5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ADe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,fDe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],i5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pDe(s,k),hDe(k),E=M;return}}function ADe(s){return s=s|0,357913941}function fDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hDe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function s5(s){s=s|0,mDe(s)}function gDe(s){s=s|0,dDe(s+24|0)}function Tr(s){return s=s|0,n[s>>2]|0}function dDe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mDe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,3,l,yDe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Kr(){return 9228}function yDe(){return 1140}function EDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=E,E=E+16|0,f=c+8|0,d=c,m=CDe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=wDe(l,f)|0,E=c,l|0}function Vr(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=f,n[s+12>>2]=d,n[s+16>>2]=m}function CDe(s){return s=s|0,(n[(kF()|0)+24>>2]|0)+(s*12|0)|0}function wDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=E,E=E+48|0,f=d,c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),tf[c&31](f,s),f=IDe(f)|0,E=d,f|0}function IDe(s){s=s|0;var l=0,c=0,f=0,d=0;return d=E,E=E+32|0,l=d+12|0,c=d,f=QF(o5()|0)|0,f?(FF(l,f),RF(c,l),BDe(s,c),s=TF(l)|0):s=vDe(s)|0,E=d,s|0}function o5(){var s=0;return o[7632]|0||(TDe(9184),tr(25,9184,U|0)|0,s=7632,n[s>>2]=1,n[s+4>>2]=0),9184}function QF(s){return s=s|0,n[s+36>>2]|0}function FF(s,l){s=s|0,l=l|0,n[s>>2]=l,n[s+4>>2]=s,n[s+8>>2]=0}function RF(s,l){s=s|0,l=l|0,n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=0}function BDe(s,l){s=s|0,l=l|0,bDe(l,s,s+8|0,s+16|0,s+24|0,s+32|0,s+40|0)|0}function TF(s){return s=s|0,n[(n[s+4>>2]|0)+8>>2]|0}function vDe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0;Q=E,E=E+16|0,c=Q+4|0,f=Q,d=Wa(8)|0,m=d,B=Kt(48)|0,k=B,l=k+48|0;do n[k>>2]=n[s>>2],k=k+4|0,s=s+4|0;while((k|0)<(l|0));return l=m+4|0,n[l>>2]=B,k=Kt(8)|0,B=n[l>>2]|0,n[f>>2]=0,n[c>>2]=n[f>>2],a5(k,B,c),n[d>>2]=k,E=Q,m|0}function a5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Kt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1092,n[c+12>>2]=l,n[s+4>>2]=c}function DDe(s){s=s|0,Vm(s),gt(s)}function PDe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function SDe(s){s=s|0,gt(s)}function bDe(s,l,c,f,d,m,B){return s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0,m=xDe(n[s>>2]|0,l,c,f,d,m,B)|0,B=s+4|0,n[(n[B>>2]|0)+8>>2]=m,n[(n[B>>2]|0)+8>>2]|0}function xDe(s,l,c,f,d,m,B){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0;var k=0,Q=0;return k=E,E=E+16|0,Q=k,Ka(Q),s=da(s)|0,B=kDe(s,+C[l>>3],+C[c>>3],+C[f>>3],+C[d>>3],+C[m>>3],+C[B>>3])|0,Va(Q),E=k,B|0}function kDe(s,l,c,f,d,m,B){s=s|0,l=+l,c=+c,f=+f,d=+d,m=+m,B=+B;var k=0;return k=Pl(QDe()|0)|0,l=+VA(l),c=+VA(c),f=+VA(f),d=+VA(d),m=+VA(m),Ms(0,k|0,s|0,+l,+c,+f,+d,+m,+ +VA(B))|0}function QDe(){var s=0;return o[7624]|0||(FDe(9172),s=7624,n[s>>2]=1,n[s+4>>2]=0),9172}function FDe(s){s=s|0,Sl(s,RDe()|0,6)}function RDe(){return 1112}function TDe(s){s=s|0,Ip(s)}function NDe(s){s=s|0,l5(s+24|0),c5(s+16|0)}function l5(s){s=s|0,ODe(s)}function c5(s){s=s|0,LDe(s)}function LDe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function ODe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function Ip(s){s=s|0;var l=0;n[s+16>>2]=0,n[s+20>>2]=0,l=s+24|0,n[l>>2]=0,n[s+28>>2]=l,n[s+36>>2]=0,o[s+40>>0]=0,o[s+41>>0]=0}function MDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],UDe(s,c,d,0),E=f}function UDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=NF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=_De(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,HDe(m,f)|0,f),E=d}function NF(){var s=0,l=0;if(o[7640]|0||(A5(9232),tr(26,9232,U|0)|0,l=7640,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9232)|0)){s=9232,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));A5(9232)}return 9232}function _De(s){return s=s|0,0}function HDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=NF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],u5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jDe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function u5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qDe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,GDe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],u5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,YDe(s,k),WDe(k),E=M;return}}function qDe(s){return s=s|0,357913941}function GDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function YDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function WDe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function A5(s){s=s|0,zDe(s)}function KDe(s){s=s|0,VDe(s+24|0)}function VDe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function zDe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,1,l,JDe()|0,3),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function JDe(){return 1144}function XDe(s,l,c,f,d){s=s|0,l=l|0,c=+c,f=+f,d=d|0;var m=0,B=0,k=0,Q=0;m=E,E=E+16|0,B=m+8|0,k=m,Q=ZDe(s)|0,s=n[Q+4>>2]|0,n[k>>2]=n[Q>>2],n[k+4>>2]=s,n[B>>2]=n[k>>2],n[B+4>>2]=n[k+4>>2],$De(l,B,c,f,d),E=m}function ZDe(s){return s=s|0,(n[(NF()|0)+24>>2]|0)+(s*12|0)|0}function $De(s,l,c,f,d){s=s|0,l=l|0,c=+c,f=+f,d=d|0;var m=0,B=0,k=0,Q=0,M=0;M=E,E=E+16|0,B=M+2|0,k=M+1|0,Q=M,m=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(m=n[(n[s>>2]|0)+m>>2]|0),ku(B,c),c=+Qu(B,c),ku(k,f),f=+Qu(k,f),XA(Q,d),Q=ZA(Q,d)|0,P7[m&1](s,c,f,Q),E=M}function ku(s,l){s=s|0,l=+l}function Qu(s,l){return s=s|0,l=+l,+ +tPe(l)}function XA(s,l){s=s|0,l=l|0}function ZA(s,l){return s=s|0,l=l|0,ePe(l)|0}function ePe(s){return s=s|0,s|0}function tPe(s){return s=+s,+s}function rPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],nPe(s,c,d,1),E=f}function nPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=LF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=iPe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,sPe(m,f)|0,f),E=d}function LF(){var s=0,l=0;if(o[7648]|0||(p5(9268),tr(27,9268,U|0)|0,l=7648,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9268)|0)){s=9268,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));p5(9268)}return 9268}function iPe(s){return s=s|0,0}function sPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=LF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],f5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(oPe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function f5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function oPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=aPe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,lPe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],f5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,cPe(s,k),uPe(k),E=M;return}}function aPe(s){return s=s|0,357913941}function lPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function cPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function uPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function p5(s){s=s|0,pPe(s)}function APe(s){s=s|0,fPe(s+24|0)}function fPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function pPe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,4,l,hPe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function hPe(){return 1160}function gPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=E,E=E+16|0,f=c+8|0,d=c,m=dPe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=mPe(l,f)|0,E=c,l|0}function dPe(s){return s=s|0,(n[(LF()|0)+24>>2]|0)+(s*12|0)|0}function mPe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),h5(Tg[c&31](s)|0)|0}function h5(s){return s=s|0,s&1|0}function yPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],EPe(s,c,d,0),E=f}function EPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=OF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=CPe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,wPe(m,f)|0,f),E=d}function OF(){var s=0,l=0;if(o[7656]|0||(d5(9304),tr(28,9304,U|0)|0,l=7656,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9304)|0)){s=9304,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));d5(9304)}return 9304}function CPe(s){return s=s|0,0}function wPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=OF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],g5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(IPe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function g5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function IPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=BPe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,vPe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],g5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,DPe(s,k),PPe(k),E=M;return}}function BPe(s){return s=s|0,357913941}function vPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function DPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function PPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function d5(s){s=s|0,xPe(s)}function SPe(s){s=s|0,bPe(s+24|0)}function bPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function xPe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,5,l,kPe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function kPe(){return 1164}function QPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=E,E=E+16|0,d=f+8|0,m=f,B=FPe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],RPe(l,d,c),E=f}function FPe(s){return s=s|0,(n[(OF()|0)+24>>2]|0)+(s*12|0)|0}function RPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=E,E=E+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),Bp(d,c),c=vp(d,c)|0,tf[f&31](s,c),Dp(d),E=m}function Bp(s,l){s=s|0,l=l|0,TPe(s,l)}function vp(s,l){return s=s|0,l=l|0,s|0}function Dp(s){s=s|0,jA(s)}function TPe(s,l){s=s|0,l=l|0,MF(s,l)}function MF(s,l){s=s|0,l=l|0,n[s>>2]=l}function NPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],LPe(s,c,d,0),E=f}function LPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=UF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=OPe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,MPe(m,f)|0,f),E=d}function UF(){var s=0,l=0;if(o[7664]|0||(y5(9340),tr(29,9340,U|0)|0,l=7664,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9340)|0)){s=9340,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));y5(9340)}return 9340}function OPe(s){return s=s|0,0}function MPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=UF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],m5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(UPe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function m5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function UPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=_Pe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,HPe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],m5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,jPe(s,k),qPe(k),E=M;return}}function _Pe(s){return s=s|0,357913941}function HPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function jPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function qPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function y5(s){s=s|0,WPe(s)}function GPe(s){s=s|0,YPe(s+24|0)}function YPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function WPe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,4,l,KPe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function KPe(){return 1180}function VPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=zPe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=JPe(l,d,c)|0,E=f,c|0}function zPe(s){return s=s|0,(n[(UF()|0)+24>>2]|0)+(s*12|0)|0}function JPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return m=E,E=E+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),Pg(d,c),d=Sg(d,c)|0,d=sD(NR[f&15](s,d)|0)|0,E=m,d|0}function Pg(s,l){s=s|0,l=l|0}function Sg(s,l){return s=s|0,l=l|0,XPe(l)|0}function sD(s){return s=s|0,s|0}function XPe(s){return s=s|0,s|0}function ZPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],$Pe(s,c,d,0),E=f}function $Pe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=_F()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=eSe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,tSe(m,f)|0,f),E=d}function _F(){var s=0,l=0;if(o[7672]|0||(C5(9376),tr(30,9376,U|0)|0,l=7672,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9376)|0)){s=9376,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));C5(9376)}return 9376}function eSe(s){return s=s|0,0}function tSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=_F()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],E5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(rSe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function E5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function rSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=nSe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,iSe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],E5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,sSe(s,k),oSe(k),E=M;return}}function nSe(s){return s=s|0,357913941}function iSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function sSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function oSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function C5(s){s=s|0,cSe(s)}function aSe(s){s=s|0,lSe(s+24|0)}function lSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function cSe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,5,l,w5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function w5(){return 1196}function uSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=E,E=E+16|0,f=c+8|0,d=c,m=ASe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=fSe(l,f)|0,E=c,l|0}function ASe(s){return s=s|0,(n[(_F()|0)+24>>2]|0)+(s*12|0)|0}function fSe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),sD(Tg[c&31](s)|0)|0}function pSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],hSe(s,c,d,1),E=f}function hSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=HF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=gSe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,dSe(m,f)|0,f),E=d}function HF(){var s=0,l=0;if(o[7680]|0||(B5(9412),tr(31,9412,U|0)|0,l=7680,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9412)|0)){s=9412,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));B5(9412)}return 9412}function gSe(s){return s=s|0,0}function dSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=HF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],I5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(mSe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function I5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function mSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ySe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,ESe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],I5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,CSe(s,k),wSe(k),E=M;return}}function ySe(s){return s=s|0,357913941}function ESe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function CSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function wSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function B5(s){s=s|0,vSe(s)}function ISe(s){s=s|0,BSe(s+24|0)}function BSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function vSe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,6,l,v5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function v5(){return 1200}function DSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=E,E=E+16|0,f=c+8|0,d=c,m=PSe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=SSe(l,f)|0,E=c,l|0}function PSe(s){return s=s|0,(n[(HF()|0)+24>>2]|0)+(s*12|0)|0}function SSe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),oD(Tg[c&31](s)|0)|0}function oD(s){return s=s|0,s|0}function bSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],xSe(s,c,d,0),E=f}function xSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=jF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=kSe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,QSe(m,f)|0,f),E=d}function jF(){var s=0,l=0;if(o[7688]|0||(P5(9448),tr(32,9448,U|0)|0,l=7688,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9448)|0)){s=9448,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));P5(9448)}return 9448}function kSe(s){return s=s|0,0}function QSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=jF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],D5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(FSe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function D5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function FSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=RSe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,TSe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],D5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,NSe(s,k),LSe(k),E=M;return}}function RSe(s){return s=s|0,357913941}function TSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function NSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function LSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function P5(s){s=s|0,USe(s)}function OSe(s){s=s|0,MSe(s+24|0)}function MSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function USe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,6,l,S5()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function S5(){return 1204}function _Se(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=E,E=E+16|0,d=f+8|0,m=f,B=HSe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],jSe(l,d,c),E=f}function HSe(s){return s=s|0,(n[(jF()|0)+24>>2]|0)+(s*12|0)|0}function jSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=E,E=E+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),qF(d,c),d=GF(d,c)|0,tf[f&31](s,d),E=m}function qF(s,l){s=s|0,l=l|0}function GF(s,l){return s=s|0,l=l|0,qSe(l)|0}function qSe(s){return s=s|0,s|0}function GSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],YSe(s,c,d,0),E=f}function YSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=YF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=WSe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,KSe(m,f)|0,f),E=d}function YF(){var s=0,l=0;if(o[7696]|0||(x5(9484),tr(33,9484,U|0)|0,l=7696,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9484)|0)){s=9484,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));x5(9484)}return 9484}function WSe(s){return s=s|0,0}function KSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=YF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],b5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(VSe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function b5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function VSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=zSe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,JSe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],b5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,XSe(s,k),ZSe(k),E=M;return}}function zSe(s){return s=s|0,357913941}function JSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function XSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function ZSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function x5(s){s=s|0,tbe(s)}function $Se(s){s=s|0,ebe(s+24|0)}function ebe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function tbe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,1,l,rbe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function rbe(){return 1212}function nbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=E,E=E+16|0,m=d+8|0,B=d,k=ibe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],sbe(l,m,c,f),E=d}function ibe(s){return s=s|0,(n[(YF()|0)+24>>2]|0)+(s*12|0)|0}function sbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;k=E,E=E+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),qF(m,c),m=GF(m,c)|0,Pg(B,f),B=Sg(B,f)|0,Uw[d&15](s,m,B),E=k}function obe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],abe(s,c,d,1),E=f}function abe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=WF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=lbe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cbe(m,f)|0,f),E=d}function WF(){var s=0,l=0;if(o[7704]|0||(Q5(9520),tr(34,9520,U|0)|0,l=7704,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9520)|0)){s=9520,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));Q5(9520)}return 9520}function lbe(s){return s=s|0,0}function cbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=WF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],k5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(ube(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function k5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function ube(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Abe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,fbe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],k5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pbe(s,k),hbe(k),E=M;return}}function Abe(s){return s=s|0,357913941}function fbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function Q5(s){s=s|0,mbe(s)}function gbe(s){s=s|0,dbe(s+24|0)}function dbe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mbe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,1,l,ybe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function ybe(){return 1224}function Ebe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;return d=E,E=E+16|0,m=d+8|0,B=d,k=Cbe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],f=+wbe(l,m,c),E=d,+f}function Cbe(s){return s=s|0,(n[(WF()|0)+24>>2]|0)+(s*12|0)|0}function wbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return m=E,E=E+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,B=+bF(+b7[f&7](s,d)),E=m,+B}function Ibe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Bbe(s,c,d,1),E=f}function Bbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=KF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=vbe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Dbe(m,f)|0,f),E=d}function KF(){var s=0,l=0;if(o[7712]|0||(R5(9556),tr(35,9556,U|0)|0,l=7712,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9556)|0)){s=9556,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));R5(9556)}return 9556}function vbe(s){return s=s|0,0}function Dbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=KF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],F5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Pbe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function F5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Pbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Sbe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,bbe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],F5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,xbe(s,k),kbe(k),E=M;return}}function Sbe(s){return s=s|0,357913941}function bbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function xbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function kbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function R5(s){s=s|0,Rbe(s)}function Qbe(s){s=s|0,Fbe(s+24|0)}function Fbe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Rbe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,5,l,Tbe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Tbe(){return 1232}function Nbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=Lbe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=+Obe(l,d),E=f,+c}function Lbe(s){return s=s|0,(n[(KF()|0)+24>>2]|0)+(s*12|0)|0}function Obe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),+ +bF(+S7[c&15](s))}function Mbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ube(s,c,d,1),E=f}function Ube(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=VF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=_be(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Hbe(m,f)|0,f),E=d}function VF(){var s=0,l=0;if(o[7720]|0||(N5(9592),tr(36,9592,U|0)|0,l=7720,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9592)|0)){s=9592,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));N5(9592)}return 9592}function _be(s){return s=s|0,0}function Hbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=VF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],T5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jbe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function T5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qbe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,Gbe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],T5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Ybe(s,k),Wbe(k),E=M;return}}function qbe(s){return s=s|0,357913941}function Gbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Ybe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Wbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function N5(s){s=s|0,zbe(s)}function Kbe(s){s=s|0,Vbe(s+24|0)}function Vbe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function zbe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,7,l,Jbe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Jbe(){return 1276}function Xbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=E,E=E+16|0,f=c+8|0,d=c,m=Zbe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=$be(l,f)|0,E=c,l|0}function Zbe(s){return s=s|0,(n[(VF()|0)+24>>2]|0)+(s*12|0)|0}function $be(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=E,E=E+16|0,f=d,c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),tf[c&31](f,s),f=L5(f)|0,E=d,f|0}function L5(s){s=s|0;var l=0,c=0,f=0,d=0;return d=E,E=E+32|0,l=d+12|0,c=d,f=QF(O5()|0)|0,f?(FF(l,f),RF(c,l),exe(s,c),s=TF(l)|0):s=txe(s)|0,E=d,s|0}function O5(){var s=0;return o[7736]|0||(Axe(9640),tr(25,9640,U|0)|0,s=7736,n[s>>2]=1,n[s+4>>2]=0),9640}function exe(s,l){s=s|0,l=l|0,sxe(l,s,s+8|0)|0}function txe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=E,E=E+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Kt(16)|0,n[k>>2]=n[s>>2],n[k+4>>2]=n[s+4>>2],n[k+8>>2]=n[s+8>>2],n[k+12>>2]=n[s+12>>2],m=l+4|0,n[m>>2]=k,s=Kt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],zF(s,m,d),n[f>>2]=s,E=c,l|0}function zF(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Kt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1244,n[c+12>>2]=l,n[s+4>>2]=c}function rxe(s){s=s|0,Vm(s),gt(s)}function nxe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function ixe(s){s=s|0,gt(s)}function sxe(s,l,c){return s=s|0,l=l|0,c=c|0,l=oxe(n[s>>2]|0,l,c)|0,c=s+4|0,n[(n[c>>2]|0)+8>>2]=l,n[(n[c>>2]|0)+8>>2]|0}function oxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;return f=E,E=E+16|0,d=f,Ka(d),s=da(s)|0,c=axe(s,n[l>>2]|0,+C[c>>3])|0,Va(d),E=f,c|0}function axe(s,l,c){s=s|0,l=l|0,c=+c;var f=0;return f=Pl(lxe()|0)|0,l=SF(l)|0,ml(0,f|0,s|0,l|0,+ +VA(c))|0}function lxe(){var s=0;return o[7728]|0||(cxe(9628),s=7728,n[s>>2]=1,n[s+4>>2]=0),9628}function cxe(s){s=s|0,Sl(s,uxe()|0,2)}function uxe(){return 1264}function Axe(s){s=s|0,Ip(s)}function fxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],pxe(s,c,d,1),E=f}function pxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=JF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=hxe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,gxe(m,f)|0,f),E=d}function JF(){var s=0,l=0;if(o[7744]|0||(U5(9684),tr(37,9684,U|0)|0,l=7744,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9684)|0)){s=9684,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));U5(9684)}return 9684}function hxe(s){return s=s|0,0}function gxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=JF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],M5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(dxe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function M5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function dxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=mxe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,yxe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],M5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Exe(s,k),Cxe(k),E=M;return}}function mxe(s){return s=s|0,357913941}function yxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Exe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Cxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function U5(s){s=s|0,Bxe(s)}function wxe(s){s=s|0,Ixe(s+24|0)}function Ixe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Bxe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,5,l,vxe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function vxe(){return 1280}function Dxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=Pxe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=Sxe(l,d,c)|0,E=f,c|0}function Pxe(s){return s=s|0,(n[(JF()|0)+24>>2]|0)+(s*12|0)|0}function Sxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return B=E,E=E+32|0,d=B,m=B+16|0,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(m,c),m=ZA(m,c)|0,Uw[f&15](d,s,m),m=L5(d)|0,E=B,m|0}function bxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],xxe(s,c,d,1),E=f}function xxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=XF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=kxe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Qxe(m,f)|0,f),E=d}function XF(){var s=0,l=0;if(o[7752]|0||(H5(9720),tr(38,9720,U|0)|0,l=7752,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9720)|0)){s=9720,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));H5(9720)}return 9720}function kxe(s){return s=s|0,0}function Qxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=XF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],_5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Fxe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function _5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Fxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Rxe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,Txe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],_5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Nxe(s,k),Lxe(k),E=M;return}}function Rxe(s){return s=s|0,357913941}function Txe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Nxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Lxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function H5(s){s=s|0,Uxe(s)}function Oxe(s){s=s|0,Mxe(s+24|0)}function Mxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Uxe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,8,l,_xe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function _xe(){return 1288}function Hxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=E,E=E+16|0,f=c+8|0,d=c,m=jxe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=qxe(l,f)|0,E=c,l|0}function jxe(s){return s=s|0,(n[(XF()|0)+24>>2]|0)+(s*12|0)|0}function qxe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),r5(Tg[c&31](s)|0)|0}function Gxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Yxe(s,c,d,0),E=f}function Yxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=ZF()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=Wxe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Kxe(m,f)|0,f),E=d}function ZF(){var s=0,l=0;if(o[7760]|0||(q5(9756),tr(39,9756,U|0)|0,l=7760,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9756)|0)){s=9756,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));q5(9756)}return 9756}function Wxe(s){return s=s|0,0}function Kxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=ZF()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],j5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Vxe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function j5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Vxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=zxe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,Jxe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],j5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Xxe(s,k),Zxe(k),E=M;return}}function zxe(s){return s=s|0,357913941}function Jxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Xxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Zxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function q5(s){s=s|0,tke(s)}function $xe(s){s=s|0,eke(s+24|0)}function eke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function tke(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,8,l,rke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function rke(){return 1292}function nke(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0;f=E,E=E+16|0,d=f+8|0,m=f,B=ike(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ske(l,d,c),E=f}function ike(s){return s=s|0,(n[(ZF()|0)+24>>2]|0)+(s*12|0)|0}function ske(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0;m=E,E=E+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),ku(d,c),c=+Qu(d,c),v7[f&31](s,c),E=m}function oke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ake(s,c,d,0),E=f}function ake(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=$F()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=lke(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cke(m,f)|0,f),E=d}function $F(){var s=0,l=0;if(o[7768]|0||(Y5(9792),tr(40,9792,U|0)|0,l=7768,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9792)|0)){s=9792,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));Y5(9792)}return 9792}function lke(s){return s=s|0,0}function cke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=$F()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],G5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uke(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function G5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Ake(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,fke(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],G5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pke(s,k),hke(k),E=M;return}}function Ake(s){return s=s|0,357913941}function fke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function Y5(s){s=s|0,mke(s)}function gke(s){s=s|0,dke(s+24|0)}function dke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mke(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,1,l,yke()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yke(){return 1300}function Eke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=+f;var d=0,m=0,B=0,k=0;d=E,E=E+16|0,m=d+8|0,B=d,k=Cke(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],wke(l,m,c,f),E=d}function Cke(s){return s=s|0,(n[($F()|0)+24>>2]|0)+(s*12|0)|0}function wke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=+f;var d=0,m=0,B=0,k=0;k=E,E=E+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),XA(m,c),m=ZA(m,c)|0,ku(B,f),f=+Qu(B,f),F7[d&15](s,m,f),E=k}function Ike(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Bke(s,c,d,0),E=f}function Bke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=eR()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=vke(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Dke(m,f)|0,f),E=d}function eR(){var s=0,l=0;if(o[7776]|0||(K5(9828),tr(41,9828,U|0)|0,l=7776,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9828)|0)){s=9828,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));K5(9828)}return 9828}function vke(s){return s=s|0,0}function Dke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=eR()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],W5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Pke(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function W5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Pke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Ske(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,bke(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],W5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,xke(s,k),kke(k),E=M;return}}function Ske(s){return s=s|0,357913941}function bke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function xke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function kke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function K5(s){s=s|0,Rke(s)}function Qke(s){s=s|0,Fke(s+24|0)}function Fke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Rke(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,7,l,Tke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Tke(){return 1312}function Nke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=E,E=E+16|0,d=f+8|0,m=f,B=Lke(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Oke(l,d,c),E=f}function Lke(s){return s=s|0,(n[(eR()|0)+24>>2]|0)+(s*12|0)|0}function Oke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=E,E=E+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,tf[f&31](s,d),E=m}function Mke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Uke(s,c,d,0),E=f}function Uke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=tR()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=_ke(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Hke(m,f)|0,f),E=d}function tR(){var s=0,l=0;if(o[7784]|0||(z5(9864),tr(42,9864,U|0)|0,l=7784,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9864)|0)){s=9864,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));z5(9864)}return 9864}function _ke(s){return s=s|0,0}function Hke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=tR()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],V5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jke(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function V5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qke(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,Gke(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],V5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Yke(s,k),Wke(k),E=M;return}}function qke(s){return s=s|0,357913941}function Gke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Yke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Wke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function z5(s){s=s|0,zke(s)}function Kke(s){s=s|0,Vke(s+24|0)}function Vke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function zke(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,8,l,Jke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Jke(){return 1320}function Xke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=E,E=E+16|0,d=f+8|0,m=f,B=Zke(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],$ke(l,d,c),E=f}function Zke(s){return s=s|0,(n[(tR()|0)+24>>2]|0)+(s*12|0)|0}function $ke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=E,E=E+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),eQe(d,c),d=tQe(d,c)|0,tf[f&31](s,d),E=m}function eQe(s,l){s=s|0,l=l|0}function tQe(s,l){return s=s|0,l=l|0,rQe(l)|0}function rQe(s){return s=s|0,s|0}function nQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],iQe(s,c,d,0),E=f}function iQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=rR()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=sQe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,oQe(m,f)|0,f),E=d}function rR(){var s=0,l=0;if(o[7792]|0||(X5(9900),tr(43,9900,U|0)|0,l=7792,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9900)|0)){s=9900,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));X5(9900)}return 9900}function sQe(s){return s=s|0,0}function oQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=rR()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],J5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(aQe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function J5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function aQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=lQe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,cQe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],J5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,uQe(s,k),AQe(k),E=M;return}}function lQe(s){return s=s|0,357913941}function cQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function uQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function AQe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function X5(s){s=s|0,hQe(s)}function fQe(s){s=s|0,pQe(s+24|0)}function pQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function hQe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,22,l,gQe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function gQe(){return 1344}function dQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;c=E,E=E+16|0,f=c+8|0,d=c,m=mQe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],yQe(l,f),E=c}function mQe(s){return s=s|0,(n[(rR()|0)+24>>2]|0)+(s*12|0)|0}function yQe(s,l){s=s|0,l=l|0;var c=0;c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),ef[c&127](s)}function EQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=nR()|0,s=CQe(c)|0,hn(m,l,d,s,wQe(c,f)|0,f)}function nR(){var s=0,l=0;if(o[7800]|0||($5(9936),tr(44,9936,U|0)|0,l=7800,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9936)|0)){s=9936,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));$5(9936)}return 9936}function CQe(s){return s=s|0,s|0}function wQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=E,E=E+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=nR()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(Z5(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(IQe(B,d,m),l=n[c>>2]|0),E=k,(l-(n[B>>2]|0)>>3)+-1|0}function Z5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function IQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=BQe(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,vQe(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,Z5(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,DQe(s,d),PQe(d),E=k;return}}function BQe(s){return s=s|0,536870911}function vQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function DQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function PQe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function $5(s){s=s|0,xQe(s)}function SQe(s){s=s|0,bQe(s+24|0)}function bQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function xQe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,1,23,l,S5()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function kQe(s,l){s=s|0,l=l|0,FQe(n[(QQe(s)|0)>>2]|0,l)}function QQe(s){return s=s|0,(n[(nR()|0)+24>>2]|0)+(s<<3)|0}function FQe(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,qF(f,l),l=GF(f,l)|0,ef[s&127](l),E=c}function RQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=iR()|0,s=TQe(c)|0,hn(m,l,d,s,NQe(c,f)|0,f)}function iR(){var s=0,l=0;if(o[7808]|0||(t9(9972),tr(45,9972,U|0)|0,l=7808,n[l>>2]=1,n[l+4>>2]=0),!(Tr(9972)|0)){s=9972,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));t9(9972)}return 9972}function TQe(s){return s=s|0,s|0}function NQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=E,E=E+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=iR()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(e9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(LQe(B,d,m),l=n[c>>2]|0),E=k,(l-(n[B>>2]|0)>>3)+-1|0}function e9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function LQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=OQe(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,MQe(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,e9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,UQe(s,d),_Qe(d),E=k;return}}function OQe(s){return s=s|0,536870911}function MQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function UQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function _Qe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function t9(s){s=s|0,qQe(s)}function HQe(s){s=s|0,jQe(s+24|0)}function jQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function qQe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,1,9,l,GQe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function GQe(){return 1348}function YQe(s,l){return s=s|0,l=l|0,KQe(n[(WQe(s)|0)>>2]|0,l)|0}function WQe(s){return s=s|0,(n[(iR()|0)+24>>2]|0)+(s<<3)|0}function KQe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=E,E=E+16|0,f=c,r9(f,l),l=n9(f,l)|0,l=sD(Tg[s&31](l)|0)|0,E=c,l|0}function r9(s,l){s=s|0,l=l|0}function n9(s,l){return s=s|0,l=l|0,VQe(l)|0}function VQe(s){return s=s|0,s|0}function zQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=sR()|0,s=JQe(c)|0,hn(m,l,d,s,XQe(c,f)|0,f)}function sR(){var s=0,l=0;if(o[7816]|0||(s9(10008),tr(46,10008,U|0)|0,l=7816,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10008)|0)){s=10008,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));s9(10008)}return 10008}function JQe(s){return s=s|0,s|0}function XQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=E,E=E+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=sR()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(i9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(ZQe(B,d,m),l=n[c>>2]|0),E=k,(l-(n[B>>2]|0)>>3)+-1|0}function i9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function ZQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=$Qe(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,eFe(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,i9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,tFe(s,d),rFe(d),E=k;return}}function $Qe(s){return s=s|0,536870911}function eFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function tFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function rFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function s9(s){s=s|0,sFe(s)}function nFe(s){s=s|0,iFe(s+24|0)}function iFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function sFe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,1,15,l,w5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function oFe(s){return s=s|0,lFe(n[(aFe(s)|0)>>2]|0)|0}function aFe(s){return s=s|0,(n[(sR()|0)+24>>2]|0)+(s<<3)|0}function lFe(s){return s=s|0,sD(CD[s&7]()|0)|0}function cFe(){var s=0;return o[7832]|0||(mFe(10052),tr(25,10052,U|0)|0,s=7832,n[s>>2]=1,n[s+4>>2]=0),10052}function uFe(s,l){s=s|0,l=l|0,n[s>>2]=AFe()|0,n[s+4>>2]=fFe()|0,n[s+12>>2]=l,n[s+8>>2]=pFe()|0,n[s+32>>2]=2}function AFe(){return 11709}function fFe(){return 1188}function pFe(){return aD()|0}function hFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Pp(f,896)|0)==512?c|0&&(gFe(c),gt(c)):l|0&&(Pu(l),gt(l))}function Pp(s,l){return s=s|0,l=l|0,l&s|0}function gFe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function aD(){var s=0;return o[7824]|0||(n[2511]=dFe()|0,n[2512]=0,s=7824,n[s>>2]=1,n[s+4>>2]=0),10044}function dFe(){return 0}function mFe(s){s=s|0,Ip(s)}function yFe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0;l=E,E=E+32|0,c=l+24|0,m=l+16|0,d=l+8|0,f=l,EFe(s,4827),CFe(s,4834,3)|0,wFe(s,3682,47)|0,n[m>>2]=9,n[m+4>>2]=0,n[c>>2]=n[m>>2],n[c+4>>2]=n[m+4>>2],IFe(s,4841,c)|0,n[d>>2]=1,n[d+4>>2]=0,n[c>>2]=n[d>>2],n[c+4>>2]=n[d+4>>2],BFe(s,4871,c)|0,n[f>>2]=10,n[f+4>>2]=0,n[c>>2]=n[f>>2],n[c+4>>2]=n[f+4>>2],vFe(s,4891,c)|0,E=l}function EFe(s,l){s=s|0,l=l|0;var c=0;c=rTe()|0,n[s>>2]=c,nTe(c,l),Sp(n[s>>2]|0)}function CFe(s,l,c){return s=s|0,l=l|0,c=c|0,_Re(s,pn(l)|0,c,0),s|0}function wFe(s,l,c){return s=s|0,l=l|0,c=c|0,DRe(s,pn(l)|0,c,0),s|0}function IFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oRe(s,l,d),E=f,s|0}function BFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],HFe(s,l,d),E=f,s|0}function vFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],DFe(s,l,d),E=f,s|0}function DFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],PFe(s,c,d,1),E=f}function PFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=oR()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=SFe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,bFe(m,f)|0,f),E=d}function oR(){var s=0,l=0;if(o[7840]|0||(a9(10100),tr(48,10100,U|0)|0,l=7840,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10100)|0)){s=10100,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));a9(10100)}return 10100}function SFe(s){return s=s|0,0}function bFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=oR()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],o9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(xFe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function o9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function xFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=kFe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,QFe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],o9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,FFe(s,k),RFe(k),E=M;return}}function kFe(s){return s=s|0,357913941}function QFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function FFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function RFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function a9(s){s=s|0,LFe(s)}function TFe(s){s=s|0,NFe(s+24|0)}function NFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function LFe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,6,l,OFe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function OFe(){return 1364}function MFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=E,E=E+16|0,d=f+8|0,m=f,B=UFe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=_Fe(l,d,c)|0,E=f,c|0}function UFe(s){return s=s|0,(n[(oR()|0)+24>>2]|0)+(s*12|0)|0}function _Fe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return m=E,E=E+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,d=h5(NR[f&15](s,d)|0)|0,E=m,d|0}function HFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],jFe(s,c,d,0),E=f}function jFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=aR()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=qFe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,GFe(m,f)|0,f),E=d}function aR(){var s=0,l=0;if(o[7848]|0||(c9(10136),tr(49,10136,U|0)|0,l=7848,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10136)|0)){s=10136,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));c9(10136)}return 10136}function qFe(s){return s=s|0,0}function GFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=aR()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],l9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(YFe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function l9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function YFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=WFe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,KFe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],l9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,VFe(s,k),zFe(k),E=M;return}}function WFe(s){return s=s|0,357913941}function KFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function VFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function zFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function c9(s){s=s|0,ZFe(s)}function JFe(s){s=s|0,XFe(s+24|0)}function XFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function ZFe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,9,l,$Fe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function $Fe(){return 1372}function eRe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0;f=E,E=E+16|0,d=f+8|0,m=f,B=tRe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],rRe(l,d,c),E=f}function tRe(s){return s=s|0,(n[(aR()|0)+24>>2]|0)+(s*12|0)|0}function rRe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=Ze;m=E,E=E+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),nRe(d,c),B=y(iRe(d,c)),B7[f&1](s,B),E=m}function nRe(s,l){s=s|0,l=+l}function iRe(s,l){return s=s|0,l=+l,y(sRe(l))}function sRe(s){return s=+s,y(s)}function oRe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],aRe(s,c,d,0),E=f}function aRe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,M=0,O=0;d=E,E=E+32|0,m=d+16|0,O=d+8|0,k=d,M=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=lR()|0,n[O>>2]=M,n[O+4>>2]=Q,n[m>>2]=n[O>>2],n[m+4>>2]=n[O+4>>2],c=lRe(m)|0,n[k>>2]=M,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cRe(m,f)|0,f),E=d}function lR(){var s=0,l=0;if(o[7856]|0||(A9(10172),tr(50,10172,U|0)|0,l=7856,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10172)|0)){s=10172,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));A9(10172)}return 10172}function lRe(s){return s=s|0,0}function cRe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0;return O=E,E=E+32|0,d=O+24|0,B=O+16|0,k=O,Q=O+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=lR()|0,M=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],u9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uRe(M,k,Q),s=n[l>>2]|0),E=O,((s-(n[M>>2]|0)|0)/12|0)+-1|0}function u9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uRe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;if(M=E,E=E+48|0,f=M+32|0,B=M+24|0,k=M,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ARe(s)|0,m>>>0>>0)Jr(s);else{O=n[s>>2]|0,se=((n[s+8>>2]|0)-O|0)/12|0,q=se<<1,fRe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-O|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],u9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pRe(s,k),hRe(k),E=M;return}}function ARe(s){return s=s|0,357913941}function fRe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Rt();else{d=Kt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pRe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hRe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function A9(s){s=s|0,mRe(s)}function gRe(s){s=s|0,dRe(s+24|0)}function dRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mRe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,2,3,l,yRe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yRe(){return 1380}function ERe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=E,E=E+16|0,m=d+8|0,B=d,k=CRe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],wRe(l,m,c,f),E=d}function CRe(s){return s=s|0,(n[(lR()|0)+24>>2]|0)+(s*12|0)|0}function wRe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;k=E,E=E+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),XA(m,c),m=ZA(m,c)|0,IRe(B,f),B=BRe(B,f)|0,Uw[d&15](s,m,B),E=k}function IRe(s,l){s=s|0,l=l|0}function BRe(s,l){return s=s|0,l=l|0,vRe(l)|0}function vRe(s){return s=s|0,(s|0)!=0|0}function DRe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=cR()|0,s=PRe(c)|0,hn(m,l,d,s,SRe(c,f)|0,f)}function cR(){var s=0,l=0;if(o[7864]|0||(p9(10208),tr(51,10208,U|0)|0,l=7864,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10208)|0)){s=10208,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));p9(10208)}return 10208}function PRe(s){return s=s|0,s|0}function SRe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=E,E=E+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=cR()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(f9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(bRe(B,d,m),l=n[c>>2]|0),E=k,(l-(n[B>>2]|0)>>3)+-1|0}function f9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function bRe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=xRe(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,kRe(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,f9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,QRe(s,d),FRe(d),E=k;return}}function xRe(s){return s=s|0,536870911}function kRe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function QRe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function FRe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function p9(s){s=s|0,NRe(s)}function RRe(s){s=s|0,TRe(s+24|0)}function TRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function NRe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,1,24,l,LRe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function LRe(){return 1392}function ORe(s,l){s=s|0,l=l|0,URe(n[(MRe(s)|0)>>2]|0,l)}function MRe(s){return s=s|0,(n[(cR()|0)+24>>2]|0)+(s<<3)|0}function URe(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,r9(f,l),l=n9(f,l)|0,ef[s&127](l),E=c}function _Re(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=uR()|0,s=HRe(c)|0,hn(m,l,d,s,jRe(c,f)|0,f)}function uR(){var s=0,l=0;if(o[7872]|0||(g9(10244),tr(52,10244,U|0)|0,l=7872,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10244)|0)){s=10244,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));g9(10244)}return 10244}function HRe(s){return s=s|0,s|0}function jRe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=E,E=E+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=uR()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(h9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(qRe(B,d,m),l=n[c>>2]|0),E=k,(l-(n[B>>2]|0)>>3)+-1|0}function h9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function qRe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=GRe(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,YRe(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,h9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,WRe(s,d),KRe(d),E=k;return}}function GRe(s){return s=s|0,536870911}function YRe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function WRe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function KRe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function g9(s){s=s|0,JRe(s)}function VRe(s){s=s|0,zRe(s+24|0)}function zRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function JRe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,1,16,l,XRe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function XRe(){return 1400}function ZRe(s){return s=s|0,eTe(n[($Re(s)|0)>>2]|0)|0}function $Re(s){return s=s|0,(n[(uR()|0)+24>>2]|0)+(s<<3)|0}function eTe(s){return s=s|0,tTe(CD[s&7]()|0)|0}function tTe(s){return s=s|0,s|0}function rTe(){var s=0;return o[7880]|0||(cTe(10280),tr(25,10280,U|0)|0,s=7880,n[s>>2]=1,n[s+4>>2]=0),10280}function nTe(s,l){s=s|0,l=l|0,n[s>>2]=iTe()|0,n[s+4>>2]=sTe()|0,n[s+12>>2]=l,n[s+8>>2]=oTe()|0,n[s+32>>2]=4}function iTe(){return 11711}function sTe(){return 1356}function oTe(){return aD()|0}function aTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Pp(f,896)|0)==512?c|0&&(lTe(c),gt(c)):l|0&&(Bg(l),gt(l))}function lTe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function cTe(s){s=s|0,Ip(s)}function uTe(s){s=s|0,ATe(s,4920),fTe(s)|0,pTe(s)|0}function ATe(s,l){s=s|0,l=l|0;var c=0;c=O5()|0,n[s>>2]=c,TTe(c,l),Sp(n[s>>2]|0)}function fTe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,vTe()|0),s|0}function pTe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,hTe()|0),s|0}function hTe(){var s=0;return o[7888]|0||(d9(10328),tr(53,10328,U|0)|0,s=7888,n[s>>2]=1,n[s+4>>2]=0),Tr(10328)|0||d9(10328),10328}function bg(s,l){s=s|0,l=l|0,hn(s,0,l,0,0,0)}function d9(s){s=s|0,mTe(s),xg(s,10)}function gTe(s){s=s|0,dTe(s+24|0)}function dTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function mTe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,5,1,l,wTe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yTe(s,l,c){s=s|0,l=l|0,c=+c,ETe(s,l,c)}function xg(s,l){s=s|0,l=l|0,n[s+20>>2]=l}function ETe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+16|0,m=f+8|0,k=f+13|0,d=f,B=f+12|0,XA(k,l),n[m>>2]=ZA(k,l)|0,ku(B,c),C[d>>3]=+Qu(B,c),CTe(s,m,d),E=f}function CTe(s,l,c){s=s|0,l=l|0,c=c|0,Y(s+8|0,n[l>>2]|0,+C[c>>3]),o[s+24>>0]=1}function wTe(){return 1404}function ITe(s,l){return s=s|0,l=+l,BTe(s,l)|0}function BTe(s,l){s=s|0,l=+l;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return f=E,E=E+16|0,m=f+4|0,B=f+8|0,k=f,d=Wa(8)|0,c=d,Q=Kt(16)|0,XA(m,s),s=ZA(m,s)|0,ku(B,l),Y(Q,s,+Qu(B,l)),B=c+4|0,n[B>>2]=Q,s=Kt(8)|0,B=n[B>>2]|0,n[k>>2]=0,n[m>>2]=n[k>>2],zF(s,B,m),n[d>>2]=s,E=f,c|0}function vTe(){var s=0;return o[7896]|0||(m9(10364),tr(54,10364,U|0)|0,s=7896,n[s>>2]=1,n[s+4>>2]=0),Tr(10364)|0||m9(10364),10364}function m9(s){s=s|0,STe(s),xg(s,55)}function DTe(s){s=s|0,PTe(s+24|0)}function PTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function STe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,5,4,l,QTe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function bTe(s){s=s|0,xTe(s)}function xTe(s){s=s|0,kTe(s)}function kTe(s){s=s|0,y9(s+8|0),o[s+24>>0]=1}function y9(s){s=s|0,n[s>>2]=0,C[s+8>>3]=0}function QTe(){return 1424}function FTe(){return RTe()|0}function RTe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=E,E=E+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,f=Kt(16)|0,y9(f),m=s+4|0,n[m>>2]=f,f=Kt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],zF(f,m,d),n[c>>2]=f,E=l,s|0}function TTe(s,l){s=s|0,l=l|0,n[s>>2]=NTe()|0,n[s+4>>2]=LTe()|0,n[s+12>>2]=l,n[s+8>>2]=OTe()|0,n[s+32>>2]=5}function NTe(){return 11710}function LTe(){return 1416}function OTe(){return lD()|0}function MTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Pp(f,896)|0)==512?c|0&&(UTe(c),gt(c)):l|0&>(l)}function UTe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function lD(){var s=0;return o[7904]|0||(n[2600]=_Te()|0,n[2601]=0,s=7904,n[s>>2]=1,n[s+4>>2]=0),10400}function _Te(){return n[357]|0}function HTe(s){s=s|0,jTe(s,4926),qTe(s)|0}function jTe(s,l){s=s|0,l=l|0;var c=0;c=o5()|0,n[s>>2]=c,eNe(c,l),Sp(n[s>>2]|0)}function qTe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,GTe()|0),s|0}function GTe(){var s=0;return o[7912]|0||(E9(10412),tr(56,10412,U|0)|0,s=7912,n[s>>2]=1,n[s+4>>2]=0),Tr(10412)|0||E9(10412),10412}function E9(s){s=s|0,KTe(s),xg(s,57)}function YTe(s){s=s|0,WTe(s+24|0)}function WTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function KTe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,5,5,l,XTe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function VTe(s){s=s|0,zTe(s)}function zTe(s){s=s|0,JTe(s)}function JTe(s){s=s|0;var l=0,c=0;l=s+8|0,c=l+48|0;do n[l>>2]=0,l=l+4|0;while((l|0)<(c|0));o[s+56>>0]=1}function XTe(){return 1432}function ZTe(){return $Te()|0}function $Te(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0,k=0;B=E,E=E+16|0,s=B+4|0,l=B,c=Wa(8)|0,f=c,d=Kt(48)|0,m=d,k=m+48|0;do n[m>>2]=0,m=m+4|0;while((m|0)<(k|0));return m=f+4|0,n[m>>2]=d,k=Kt(8)|0,m=n[m>>2]|0,n[l>>2]=0,n[s>>2]=n[l>>2],a5(k,m,s),n[c>>2]=k,E=B,f|0}function eNe(s,l){s=s|0,l=l|0,n[s>>2]=tNe()|0,n[s+4>>2]=rNe()|0,n[s+12>>2]=l,n[s+8>>2]=nNe()|0,n[s+32>>2]=6}function tNe(){return 11704}function rNe(){return 1436}function nNe(){return lD()|0}function iNe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Pp(f,896)|0)==512?c|0&&(sNe(c),gt(c)):l|0&>(l)}function sNe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function oNe(s){s=s|0,aNe(s,4933),lNe(s)|0,cNe(s)|0}function aNe(s,l){s=s|0,l=l|0;var c=0;c=RNe()|0,n[s>>2]=c,TNe(c,l),Sp(n[s>>2]|0)}function lNe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,BNe()|0),s|0}function cNe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,uNe()|0),s|0}function uNe(){var s=0;return o[7920]|0||(C9(10452),tr(58,10452,U|0)|0,s=7920,n[s>>2]=1,n[s+4>>2]=0),Tr(10452)|0||C9(10452),10452}function C9(s){s=s|0,pNe(s),xg(s,1)}function ANe(s){s=s|0,fNe(s+24|0)}function fNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function pNe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,5,1,l,mNe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function hNe(s,l,c){s=s|0,l=+l,c=+c,gNe(s,l,c)}function gNe(s,l,c){s=s|0,l=+l,c=+c;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+32|0,m=f+8|0,k=f+17|0,d=f,B=f+16|0,ku(k,l),C[m>>3]=+Qu(k,l),ku(B,c),C[d>>3]=+Qu(B,c),dNe(s,m,d),E=f}function dNe(s,l,c){s=s|0,l=l|0,c=c|0,w9(s+8|0,+C[l>>3],+C[c>>3]),o[s+24>>0]=1}function w9(s,l,c){s=s|0,l=+l,c=+c,C[s>>3]=l,C[s+8>>3]=c}function mNe(){return 1472}function yNe(s,l){return s=+s,l=+l,ENe(s,l)|0}function ENe(s,l){s=+s,l=+l;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return f=E,E=E+16|0,B=f+4|0,k=f+8|0,Q=f,d=Wa(8)|0,c=d,m=Kt(16)|0,ku(B,s),s=+Qu(B,s),ku(k,l),w9(m,s,+Qu(k,l)),k=c+4|0,n[k>>2]=m,m=Kt(8)|0,k=n[k>>2]|0,n[Q>>2]=0,n[B>>2]=n[Q>>2],I9(m,k,B),n[d>>2]=m,E=f,c|0}function I9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Kt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1452,n[c+12>>2]=l,n[s+4>>2]=c}function CNe(s){s=s|0,Vm(s),gt(s)}function wNe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function INe(s){s=s|0,gt(s)}function BNe(){var s=0;return o[7928]|0||(B9(10488),tr(59,10488,U|0)|0,s=7928,n[s>>2]=1,n[s+4>>2]=0),Tr(10488)|0||B9(10488),10488}function B9(s){s=s|0,PNe(s),xg(s,60)}function vNe(s){s=s|0,DNe(s+24|0)}function DNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function PNe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,5,6,l,kNe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function SNe(s){s=s|0,bNe(s)}function bNe(s){s=s|0,xNe(s)}function xNe(s){s=s|0,v9(s+8|0),o[s+24>>0]=1}function v9(s){s=s|0,n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,n[s+12>>2]=0}function kNe(){return 1492}function QNe(){return FNe()|0}function FNe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=E,E=E+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,f=Kt(16)|0,v9(f),m=s+4|0,n[m>>2]=f,f=Kt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],I9(f,m,d),n[c>>2]=f,E=l,s|0}function RNe(){var s=0;return o[7936]|0||(_Ne(10524),tr(25,10524,U|0)|0,s=7936,n[s>>2]=1,n[s+4>>2]=0),10524}function TNe(s,l){s=s|0,l=l|0,n[s>>2]=NNe()|0,n[s+4>>2]=LNe()|0,n[s+12>>2]=l,n[s+8>>2]=ONe()|0,n[s+32>>2]=7}function NNe(){return 11700}function LNe(){return 1484}function ONe(){return lD()|0}function MNe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Pp(f,896)|0)==512?c|0&&(UNe(c),gt(c)):l|0&>(l)}function UNe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function _Ne(s){s=s|0,Ip(s)}function HNe(s,l,c){s=s|0,l=l|0,c=c|0,s=pn(l)|0,l=jNe(c)|0,c=qNe(c,0)|0,ELe(s,l,c,AR()|0,0)}function jNe(s){return s=s|0,s|0}function qNe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=E,E=E+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=AR()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(P9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(JNe(B,d,m),l=n[c>>2]|0),E=k,(l-(n[B>>2]|0)>>3)+-1|0}function AR(){var s=0,l=0;if(o[7944]|0||(D9(10568),tr(61,10568,U|0)|0,l=7944,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10568)|0)){s=10568,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));D9(10568)}return 10568}function D9(s){s=s|0,WNe(s)}function GNe(s){s=s|0,YNe(s+24|0)}function YNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function WNe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,1,17,l,v5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function KNe(s){return s=s|0,zNe(n[(VNe(s)|0)>>2]|0)|0}function VNe(s){return s=s|0,(n[(AR()|0)+24>>2]|0)+(s<<3)|0}function zNe(s){return s=s|0,oD(CD[s&7]()|0)|0}function P9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function JNe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=XNe(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,ZNe(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,P9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,$Ne(s,d),eLe(d),E=k;return}}function XNe(s){return s=s|0,536870911}function ZNe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function $Ne(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function eLe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function tLe(){rLe()}function rLe(){nLe(10604)}function nLe(s){s=s|0,iLe(s,4955)}function iLe(s,l){s=s|0,l=l|0;var c=0;c=sLe()|0,n[s>>2]=c,oLe(c,l),Sp(n[s>>2]|0)}function sLe(){var s=0;return o[7952]|0||(gLe(10612),tr(25,10612,U|0)|0,s=7952,n[s>>2]=1,n[s+4>>2]=0),10612}function oLe(s,l){s=s|0,l=l|0,n[s>>2]=uLe()|0,n[s+4>>2]=ALe()|0,n[s+12>>2]=l,n[s+8>>2]=fLe()|0,n[s+32>>2]=8}function Sp(s){s=s|0;var l=0,c=0;l=E,E=E+16|0,c=l,qm()|0,n[c>>2]=s,aLe(10608,c),E=l}function qm(){return o[11714]|0||(n[2652]=0,tr(62,10608,U|0)|0,o[11714]=1),10608}function aLe(s,l){s=s|0,l=l|0;var c=0;c=Kt(8)|0,n[c+4>>2]=n[l>>2],n[c>>2]=n[s>>2],n[s>>2]=c}function lLe(s){s=s|0,cLe(s)}function cLe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function uLe(){return 11715}function ALe(){return 1496}function fLe(){return aD()|0}function pLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Pp(f,896)|0)==512?c|0&&(hLe(c),gt(c)):l|0&>(l)}function hLe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function gLe(s){s=s|0,Ip(s)}function dLe(s,l){s=s|0,l=l|0;var c=0,f=0;qm()|0,c=n[2652]|0;e:do if(c|0){for(;f=n[c+4>>2]|0,!(f|0&&(a7(fR(f)|0,s)|0)==0);)if(c=n[c>>2]|0,!c)break e;mLe(f,l)}while(0)}function fR(s){return s=s|0,n[s+12>>2]|0}function mLe(s,l){s=s|0,l=l|0;var c=0;s=s+36|0,c=n[s>>2]|0,c|0&&(jA(c),gt(c)),c=Kt(4)|0,e5(c,l),n[s>>2]=c}function pR(){return o[11716]|0||(n[2664]=0,tr(63,10656,U|0)|0,o[11716]=1),10656}function S9(){var s=0;return o[11717]|0?s=n[2665]|0:(yLe(),n[2665]=1504,o[11717]=1,s=1504),s|0}function yLe(){o[11740]|0||(o[11718]=gr(gr(8,0)|0,0)|0,o[11719]=gr(gr(0,0)|0,0)|0,o[11720]=gr(gr(0,16)|0,0)|0,o[11721]=gr(gr(8,0)|0,0)|0,o[11722]=gr(gr(0,0)|0,0)|0,o[11723]=gr(gr(8,0)|0,0)|0,o[11724]=gr(gr(0,0)|0,0)|0,o[11725]=gr(gr(8,0)|0,0)|0,o[11726]=gr(gr(0,0)|0,0)|0,o[11727]=gr(gr(8,0)|0,0)|0,o[11728]=gr(gr(0,0)|0,0)|0,o[11729]=gr(gr(0,0)|0,32)|0,o[11730]=gr(gr(0,0)|0,32)|0,o[11740]=1)}function b9(){return 1572}function ELe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,M=0,O=0;m=E,E=E+32|0,O=m+16|0,M=m+12|0,Q=m+8|0,k=m+4|0,B=m,n[O>>2]=s,n[M>>2]=l,n[Q>>2]=c,n[k>>2]=f,n[B>>2]=d,pR()|0,CLe(10656,O,M,Q,k,B),E=m}function CLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0;B=Kt(24)|0,n5(B+4|0,n[l>>2]|0,n[c>>2]|0,n[f>>2]|0,n[d>>2]|0,n[m>>2]|0),n[B>>2]=n[s>>2],n[s>>2]=B}function x9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0,Ge=0,Me=0,Qe=0,et=0,Xe=0,at=0;if(at=E,E=E+32|0,Me=at+20|0,Qe=at+8|0,et=at+4|0,Xe=at,l=n[l>>2]|0,l|0){Ge=Me+4|0,Q=Me+8|0,M=Qe+4|0,O=Qe+8|0,q=Qe+8|0,se=Me+8|0;do{if(B=l+4|0,k=hR(B)|0,k|0){if(d=Rw(k)|0,n[Me>>2]=0,n[Ge>>2]=0,n[Q>>2]=0,f=(Tw(k)|0)+1|0,wLe(Me,f),f|0)for(;f=f+-1|0,bc(Qe,n[d>>2]|0),m=n[Ge>>2]|0,m>>>0<(n[se>>2]|0)>>>0?(n[m>>2]=n[Qe>>2],n[Ge>>2]=(n[Ge>>2]|0)+4):gR(Me,Qe),f;)d=d+4|0;f=Nw(k)|0,n[Qe>>2]=0,n[M>>2]=0,n[O>>2]=0;e:do if(n[f>>2]|0)for(d=0,m=0;;){if((d|0)==(m|0)?ILe(Qe,f):(n[d>>2]=n[f>>2],n[M>>2]=(n[M>>2]|0)+4),f=f+4|0,!(n[f>>2]|0))break e;d=n[M>>2]|0,m=n[q>>2]|0}while(0);n[et>>2]=cD(B)|0,n[Xe>>2]=Tr(k)|0,BLe(c,s,et,Xe,Me,Qe),dR(Qe),$A(Me)}l=n[l>>2]|0}while((l|0)!=0)}E=at}function hR(s){return s=s|0,n[s+12>>2]|0}function Rw(s){return s=s|0,n[s+12>>2]|0}function Tw(s){return s=s|0,n[s+16>>2]|0}function wLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=E,E=E+32|0,c=d,f=n[s>>2]|0,(n[s+8>>2]|0)-f>>2>>>0>>0&&(O9(c,l,(n[s+4>>2]|0)-f>>2,s+8|0),M9(s,c),U9(c)),E=d}function gR(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0;if(B=E,E=E+32|0,c=B,f=s+4|0,d=((n[f>>2]|0)-(n[s>>2]|0)>>2)+1|0,m=L9(s)|0,m>>>0>>0)Jr(s);else{k=n[s>>2]|0,M=(n[s+8>>2]|0)-k|0,Q=M>>1,O9(c,M>>2>>>0>>1>>>0?Q>>>0>>0?d:Q:m,(n[f>>2]|0)-k>>2,s+8|0),m=c+8|0,n[n[m>>2]>>2]=n[l>>2],n[m>>2]=(n[m>>2]|0)+4,M9(s,c),U9(c),E=B;return}}function Nw(s){return s=s|0,n[s+8>>2]|0}function ILe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0;if(B=E,E=E+32|0,c=B,f=s+4|0,d=((n[f>>2]|0)-(n[s>>2]|0)>>2)+1|0,m=N9(s)|0,m>>>0>>0)Jr(s);else{k=n[s>>2]|0,M=(n[s+8>>2]|0)-k|0,Q=M>>1,jLe(c,M>>2>>>0>>1>>>0?Q>>>0>>0?d:Q:m,(n[f>>2]|0)-k>>2,s+8|0),m=c+8|0,n[n[m>>2]>>2]=n[l>>2],n[m>>2]=(n[m>>2]|0)+4,qLe(s,c),GLe(c),E=B;return}}function cD(s){return s=s|0,n[s>>2]|0}function BLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,vLe(s,l,c,f,d,m)}function dR(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function $A(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function vLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,M=0,O=0,q=0;B=E,E=E+48|0,O=B+40|0,k=B+32|0,q=B+24|0,Q=B+12|0,M=B,Ka(k),s=da(s)|0,n[q>>2]=n[l>>2],c=n[c>>2]|0,f=n[f>>2]|0,mR(Q,d),DLe(M,m),n[O>>2]=n[q>>2],PLe(s,O,c,f,Q,M),dR(M),$A(Q),Va(k),E=B}function mR(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(_Le(s,f),HLe(s,n[l>>2]|0,n[c>>2]|0,f))}function DLe(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(MLe(s,f),ULe(s,n[l>>2]|0,n[c>>2]|0,f))}function PLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,M=0,O=0,q=0;B=E,E=E+32|0,O=B+28|0,q=B+24|0,k=B+12|0,Q=B,M=Pl(SLe()|0)|0,n[q>>2]=n[l>>2],n[O>>2]=n[q>>2],l=kg(O)|0,c=k9(c)|0,f=yR(f)|0,n[k>>2]=n[d>>2],O=d+4|0,n[k+4>>2]=n[O>>2],q=d+8|0,n[k+8>>2]=n[q>>2],n[q>>2]=0,n[O>>2]=0,n[d>>2]=0,d=ER(k)|0,n[Q>>2]=n[m>>2],O=m+4|0,n[Q+4>>2]=n[O>>2],q=m+8|0,n[Q+8>>2]=n[q>>2],n[q>>2]=0,n[O>>2]=0,n[m>>2]=0,ao(0,M|0,s|0,l|0,c|0,f|0,d|0,bLe(Q)|0)|0,dR(Q),$A(k),E=B}function SLe(){var s=0;return o[7968]|0||(LLe(10708),s=7968,n[s>>2]=1,n[s+4>>2]=0),10708}function kg(s){return s=s|0,F9(s)|0}function k9(s){return s=s|0,Q9(s)|0}function yR(s){return s=s|0,oD(s)|0}function ER(s){return s=s|0,kLe(s)|0}function bLe(s){return s=s|0,xLe(s)|0}function xLe(s){s=s|0;var l=0,c=0,f=0;if(f=(n[s+4>>2]|0)-(n[s>>2]|0)|0,c=f>>2,f=Wa(f+4|0)|0,n[f>>2]=c,c|0){l=0;do n[f+4+(l<<2)>>2]=Q9(n[(n[s>>2]|0)+(l<<2)>>2]|0)|0,l=l+1|0;while((l|0)!=(c|0))}return f|0}function Q9(s){return s=s|0,s|0}function kLe(s){s=s|0;var l=0,c=0,f=0;if(f=(n[s+4>>2]|0)-(n[s>>2]|0)|0,c=f>>2,f=Wa(f+4|0)|0,n[f>>2]=c,c|0){l=0;do n[f+4+(l<<2)>>2]=F9((n[s>>2]|0)+(l<<2)|0)|0,l=l+1|0;while((l|0)!=(c|0))}return f|0}function F9(s){s=s|0;var l=0,c=0,f=0,d=0;return d=E,E=E+32|0,l=d+12|0,c=d,f=QF(R9()|0)|0,f?(FF(l,f),RF(c,l),fUe(s,c),s=TF(l)|0):s=QLe(s)|0,E=d,s|0}function R9(){var s=0;return o[7960]|0||(NLe(10664),tr(25,10664,U|0)|0,s=7960,n[s>>2]=1,n[s+4>>2]=0),10664}function QLe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=E,E=E+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Kt(4)|0,n[k>>2]=n[s>>2],m=l+4|0,n[m>>2]=k,s=Kt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],T9(s,m,d),n[f>>2]=s,E=c,l|0}function T9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Kt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1656,n[c+12>>2]=l,n[s+4>>2]=c}function FLe(s){s=s|0,Vm(s),gt(s)}function RLe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function TLe(s){s=s|0,gt(s)}function NLe(s){s=s|0,Ip(s)}function LLe(s){s=s|0,Sl(s,OLe()|0,5)}function OLe(){return 1676}function MLe(s,l){s=s|0,l=l|0;var c=0;if((N9(s)|0)>>>0>>0&&Jr(s),l>>>0>1073741823)Rt();else{c=Kt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function ULe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function N9(s){return s=s|0,1073741823}function _Le(s,l){s=s|0,l=l|0;var c=0;if((L9(s)|0)>>>0>>0&&Jr(s),l>>>0>1073741823)Rt();else{c=Kt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function HLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function L9(s){return s=s|0,1073741823}function jLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Rt();else{d=Kt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function qLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function GLe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&>(s)}function O9(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Rt();else{d=Kt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function M9(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function U9(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&>(s)}function YLe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0,Ge=0,Me=0,Qe=0;if(Qe=E,E=E+32|0,O=Qe+20|0,q=Qe+12|0,M=Qe+16|0,se=Qe+4|0,Ge=Qe,Me=Qe+8|0,k=S9()|0,m=n[k>>2]|0,B=n[m>>2]|0,B|0)for(Q=n[k+8>>2]|0,k=n[k+4>>2]|0;bc(O,B),WLe(s,O,k,Q),m=m+4|0,B=n[m>>2]|0,B;)Q=Q+1|0,k=k+1|0;if(m=b9()|0,B=n[m>>2]|0,B|0)do bc(O,B),n[q>>2]=n[m+4>>2],KLe(l,O,q),m=m+8|0,B=n[m>>2]|0;while((B|0)!=0);if(m=n[(qm()|0)>>2]|0,m|0)do l=n[m+4>>2]|0,bc(O,n[(Gm(l)|0)>>2]|0),n[q>>2]=fR(l)|0,VLe(c,O,q),m=n[m>>2]|0;while((m|0)!=0);if(bc(M,0),m=pR()|0,n[O>>2]=n[M>>2],x9(O,m,d),m=n[(qm()|0)>>2]|0,m|0){s=O+4|0,l=O+8|0,c=O+8|0;do{if(Q=n[m+4>>2]|0,bc(q,n[(Gm(Q)|0)>>2]|0),zLe(se,_9(Q)|0),B=n[se>>2]|0,B|0){n[O>>2]=0,n[s>>2]=0,n[l>>2]=0;do bc(Ge,n[(Gm(n[B+4>>2]|0)|0)>>2]|0),k=n[s>>2]|0,k>>>0<(n[c>>2]|0)>>>0?(n[k>>2]=n[Ge>>2],n[s>>2]=(n[s>>2]|0)+4):gR(O,Ge),B=n[B>>2]|0;while((B|0)!=0);JLe(f,q,O),$A(O)}n[Me>>2]=n[q>>2],M=H9(Q)|0,n[O>>2]=n[Me>>2],x9(O,M,d),c5(se),m=n[m>>2]|0}while((m|0)!=0)}E=Qe}function WLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,lOe(s,l,c,f)}function KLe(s,l,c){s=s|0,l=l|0,c=c|0,aOe(s,l,c)}function Gm(s){return s=s|0,s|0}function VLe(s,l,c){s=s|0,l=l|0,c=c|0,nOe(s,l,c)}function _9(s){return s=s|0,s+16|0}function zLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;if(m=E,E=E+16|0,d=m+8|0,c=m,n[s>>2]=0,f=n[l>>2]|0,n[d>>2]=f,n[c>>2]=s,c=rOe(c)|0,f|0){if(f=Kt(12)|0,B=(j9(d)|0)+4|0,s=n[B+4>>2]|0,l=f+4|0,n[l>>2]=n[B>>2],n[l+4>>2]=s,l=n[n[d>>2]>>2]|0,n[d>>2]=l,!l)s=f;else for(l=f;s=Kt(12)|0,Q=(j9(d)|0)+4|0,k=n[Q+4>>2]|0,B=s+4|0,n[B>>2]=n[Q>>2],n[B+4>>2]=k,n[l>>2]=s,B=n[n[d>>2]>>2]|0,n[d>>2]=B,B;)l=s;n[s>>2]=n[c>>2],n[c>>2]=f}E=m}function JLe(s,l,c){s=s|0,l=l|0,c=c|0,XLe(s,l,c)}function H9(s){return s=s|0,s+24|0}function XLe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+32|0,B=f+24|0,d=f+16|0,k=f+12|0,m=f,Ka(d),s=da(s)|0,n[k>>2]=n[l>>2],mR(m,c),n[B>>2]=n[k>>2],ZLe(s,B,m),$A(m),Va(d),E=f}function ZLe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=E,E=E+32|0,B=f+16|0,k=f+12|0,d=f,m=Pl($Le()|0)|0,n[k>>2]=n[l>>2],n[B>>2]=n[k>>2],l=kg(B)|0,n[d>>2]=n[c>>2],B=c+4|0,n[d+4>>2]=n[B>>2],k=c+8|0,n[d+8>>2]=n[k>>2],n[k>>2]=0,n[B>>2]=0,n[c>>2]=0,oo(0,m|0,s|0,l|0,ER(d)|0)|0,$A(d),E=f}function $Le(){var s=0;return o[7976]|0||(eOe(10720),s=7976,n[s>>2]=1,n[s+4>>2]=0),10720}function eOe(s){s=s|0,Sl(s,tOe()|0,2)}function tOe(){return 1732}function rOe(s){return s=s|0,n[s>>2]|0}function j9(s){return s=s|0,n[s>>2]|0}function nOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=E,E=E+32|0,m=f+16|0,d=f+8|0,B=f,Ka(d),s=da(s)|0,n[B>>2]=n[l>>2],c=n[c>>2]|0,n[m>>2]=n[B>>2],q9(s,m,c),Va(d),E=f}function q9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=E,E=E+16|0,m=f+4|0,B=f,d=Pl(iOe()|0)|0,n[B>>2]=n[l>>2],n[m>>2]=n[B>>2],l=kg(m)|0,oo(0,d|0,s|0,l|0,k9(c)|0)|0,E=f}function iOe(){var s=0;return o[7984]|0||(sOe(10732),s=7984,n[s>>2]=1,n[s+4>>2]=0),10732}function sOe(s){s=s|0,Sl(s,oOe()|0,2)}function oOe(){return 1744}function aOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=E,E=E+32|0,m=f+16|0,d=f+8|0,B=f,Ka(d),s=da(s)|0,n[B>>2]=n[l>>2],c=n[c>>2]|0,n[m>>2]=n[B>>2],q9(s,m,c),Va(d),E=f}function lOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=E,E=E+32|0,B=d+16|0,m=d+8|0,k=d,Ka(m),s=da(s)|0,n[k>>2]=n[l>>2],c=o[c>>0]|0,f=o[f>>0]|0,n[B>>2]=n[k>>2],cOe(s,B,c,f),Va(m),E=d}function cOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=E,E=E+16|0,B=d+4|0,k=d,m=Pl(uOe()|0)|0,n[k>>2]=n[l>>2],n[B>>2]=n[k>>2],l=kg(B)|0,c=Ym(c)|0,pc(0,m|0,s|0,l|0,c|0,Ym(f)|0)|0,E=d}function uOe(){var s=0;return o[7992]|0||(fOe(10744),s=7992,n[s>>2]=1,n[s+4>>2]=0),10744}function Ym(s){return s=s|0,AOe(s)|0}function AOe(s){return s=s|0,s&255|0}function fOe(s){s=s|0,Sl(s,pOe()|0,3)}function pOe(){return 1756}function hOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0;switch(se=E,E=E+32|0,k=se+8|0,Q=se+4|0,M=se+20|0,O=se,MF(s,0),f=AUe(l)|0,n[k>>2]=0,q=k+4|0,n[q>>2]=0,n[k+8>>2]=0,f<<24>>24){case 0:{o[M>>0]=0,gOe(Q,c,M),uD(s,Q)|0,qA(Q);break}case 8:{q=DR(l)|0,o[M>>0]=8,bc(O,n[q+4>>2]|0),dOe(Q,c,M,O,q+8|0),uD(s,Q)|0,qA(Q);break}case 9:{if(m=DR(l)|0,l=n[m+4>>2]|0,l|0)for(B=k+8|0,d=m+12|0;l=l+-1|0,bc(Q,n[d>>2]|0),f=n[q>>2]|0,f>>>0<(n[B>>2]|0)>>>0?(n[f>>2]=n[Q>>2],n[q>>2]=(n[q>>2]|0)+4):gR(k,Q),l;)d=d+4|0;o[M>>0]=9,bc(O,n[m+8>>2]|0),mOe(Q,c,M,O,k),uD(s,Q)|0,qA(Q);break}default:q=DR(l)|0,o[M>>0]=f,bc(O,n[q+4>>2]|0),yOe(Q,c,M,O),uD(s,Q)|0,qA(Q)}$A(k),E=se}function gOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=E,E=E+16|0,d=f,Ka(d),l=da(l)|0,QOe(s,l,o[c>>0]|0),Va(d),E=f}function uD(s,l){s=s|0,l=l|0;var c=0;return c=n[s>>2]|0,c|0&&PA(c|0),n[s>>2]=n[l>>2],n[l>>2]=0,s|0}function dOe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0;m=E,E=E+32|0,k=m+16|0,B=m+8|0,Q=m,Ka(B),l=da(l)|0,c=o[c>>0]|0,n[Q>>2]=n[f>>2],d=n[d>>2]|0,n[k>>2]=n[Q>>2],SOe(s,l,c,k,d),Va(B),E=m}function mOe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,M=0;m=E,E=E+32|0,Q=m+24|0,B=m+16|0,M=m+12|0,k=m,Ka(B),l=da(l)|0,c=o[c>>0]|0,n[M>>2]=n[f>>2],mR(k,d),n[Q>>2]=n[M>>2],BOe(s,l,c,Q,k),$A(k),Va(B),E=m}function yOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=E,E=E+32|0,B=d+16|0,m=d+8|0,k=d,Ka(m),l=da(l)|0,c=o[c>>0]|0,n[k>>2]=n[f>>2],n[B>>2]=n[k>>2],EOe(s,l,c,B),Va(m),E=d}function EOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=E,E=E+16|0,m=d+4|0,k=d,B=Pl(COe()|0)|0,c=Ym(c)|0,n[k>>2]=n[f>>2],n[m>>2]=n[k>>2],AD(s,oo(0,B|0,l|0,c|0,kg(m)|0)|0),E=d}function COe(){var s=0;return o[8e3]|0||(wOe(10756),s=8e3,n[s>>2]=1,n[s+4>>2]=0),10756}function AD(s,l){s=s|0,l=l|0,MF(s,l)}function wOe(s){s=s|0,Sl(s,IOe()|0,2)}function IOe(){return 1772}function BOe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,M=0;m=E,E=E+32|0,Q=m+16|0,M=m+12|0,B=m,k=Pl(vOe()|0)|0,c=Ym(c)|0,n[M>>2]=n[f>>2],n[Q>>2]=n[M>>2],f=kg(Q)|0,n[B>>2]=n[d>>2],Q=d+4|0,n[B+4>>2]=n[Q>>2],M=d+8|0,n[B+8>>2]=n[M>>2],n[M>>2]=0,n[Q>>2]=0,n[d>>2]=0,AD(s,pc(0,k|0,l|0,c|0,f|0,ER(B)|0)|0),$A(B),E=m}function vOe(){var s=0;return o[8008]|0||(DOe(10768),s=8008,n[s>>2]=1,n[s+4>>2]=0),10768}function DOe(s){s=s|0,Sl(s,POe()|0,3)}function POe(){return 1784}function SOe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0;m=E,E=E+16|0,k=m+4|0,Q=m,B=Pl(bOe()|0)|0,c=Ym(c)|0,n[Q>>2]=n[f>>2],n[k>>2]=n[Q>>2],f=kg(k)|0,AD(s,pc(0,B|0,l|0,c|0,f|0,yR(d)|0)|0),E=m}function bOe(){var s=0;return o[8016]|0||(xOe(10780),s=8016,n[s>>2]=1,n[s+4>>2]=0),10780}function xOe(s){s=s|0,Sl(s,kOe()|0,3)}function kOe(){return 1800}function QOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=Pl(FOe()|0)|0,AD(s,Qn(0,f|0,l|0,Ym(c)|0)|0)}function FOe(){var s=0;return o[8024]|0||(ROe(10792),s=8024,n[s>>2]=1,n[s+4>>2]=0),10792}function ROe(s){s=s|0,Sl(s,TOe()|0,1)}function TOe(){return 1816}function NOe(){LOe(),OOe(),MOe()}function LOe(){n[2702]=m7(65536)|0}function OOe(){iMe(10856)}function MOe(){UOe(10816)}function UOe(s){s=s|0,_Oe(s,5044),HOe(s)|0}function _Oe(s,l){s=s|0,l=l|0;var c=0;c=R9()|0,n[s>>2]=c,ZOe(c,l),Sp(n[s>>2]|0)}function HOe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,jOe()|0),s|0}function jOe(){var s=0;return o[8032]|0||(G9(10820),tr(64,10820,U|0)|0,s=8032,n[s>>2]=1,n[s+4>>2]=0),Tr(10820)|0||G9(10820),10820}function G9(s){s=s|0,YOe(s),xg(s,25)}function qOe(s){s=s|0,GOe(s+24|0)}function GOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function YOe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,5,18,l,zOe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function WOe(s,l){s=s|0,l=l|0,KOe(s,l)}function KOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;c=E,E=E+16|0,f=c,d=c+4|0,Pg(d,l),n[f>>2]=Sg(d,l)|0,VOe(s,f),E=c}function VOe(s,l){s=s|0,l=l|0,Y9(s+4|0,n[l>>2]|0),o[s+8>>0]=1}function Y9(s,l){s=s|0,l=l|0,n[s>>2]=l}function zOe(){return 1824}function JOe(s){return s=s|0,XOe(s)|0}function XOe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=E,E=E+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Kt(4)|0,Pg(d,s),Y9(k,Sg(d,s)|0),m=l+4|0,n[m>>2]=k,s=Kt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],T9(s,m,d),n[f>>2]=s,E=c,l|0}function Wa(s){s=s|0;var l=0,c=0;return s=s+7&-8,s>>>0<=32768&&(l=n[2701]|0,s>>>0<=(65536-l|0)>>>0)?(c=(n[2702]|0)+l|0,n[2701]=l+s,s=c):(s=m7(s+8|0)|0,n[s>>2]=n[2703],n[2703]=s,s=s+8|0),s|0}function ZOe(s,l){s=s|0,l=l|0,n[s>>2]=$Oe()|0,n[s+4>>2]=eMe()|0,n[s+12>>2]=l,n[s+8>>2]=tMe()|0,n[s+32>>2]=9}function $Oe(){return 11744}function eMe(){return 1832}function tMe(){return lD()|0}function rMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Pp(f,896)|0)==512?c|0&&(nMe(c),gt(c)):l|0&>(l)}function nMe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function iMe(s){s=s|0,sMe(s,5052),oMe(s)|0,aMe(s,5058,26)|0,lMe(s,5069,1)|0,cMe(s,5077,10)|0,uMe(s,5087,19)|0,AMe(s,5094,27)|0}function sMe(s,l){s=s|0,l=l|0;var c=0;c=nUe()|0,n[s>>2]=c,iUe(c,l),Sp(n[s>>2]|0)}function oMe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,q4e()|0),s|0}function aMe(s,l,c){return s=s|0,l=l|0,c=c|0,D4e(s,pn(l)|0,c,0),s|0}function lMe(s,l,c){return s=s|0,l=l|0,c=c|0,u4e(s,pn(l)|0,c,0),s|0}function cMe(s,l,c){return s=s|0,l=l|0,c=c|0,jMe(s,pn(l)|0,c,0),s|0}function uMe(s,l,c){return s=s|0,l=l|0,c=c|0,SMe(s,pn(l)|0,c,0),s|0}function W9(s,l){s=s|0,l=l|0;var c=0,f=0;e:for(;;){for(c=n[2703]|0;;){if((c|0)==(l|0))break e;if(f=n[c>>2]|0,n[2703]=f,!c)c=f;else break}gt(c)}n[2701]=s}function AMe(s,l,c){return s=s|0,l=l|0,c=c|0,fMe(s,pn(l)|0,c,0),s|0}function fMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=CR()|0,s=pMe(c)|0,hn(m,l,d,s,hMe(c,f)|0,f)}function CR(){var s=0,l=0;if(o[8040]|0||(V9(10860),tr(65,10860,U|0)|0,l=8040,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10860)|0)){s=10860,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));V9(10860)}return 10860}function pMe(s){return s=s|0,s|0}function hMe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=E,E=E+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=CR()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(K9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(gMe(B,d,m),l=n[c>>2]|0),E=k,(l-(n[B>>2]|0)>>3)+-1|0}function K9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function gMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=dMe(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,mMe(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,K9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,yMe(s,d),EMe(d),E=k;return}}function dMe(s){return s=s|0,536870911}function mMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function yMe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function EMe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function V9(s){s=s|0,IMe(s)}function CMe(s){s=s|0,wMe(s+24|0)}function wMe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function IMe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,1,11,l,BMe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function BMe(){return 1840}function vMe(s,l,c){s=s|0,l=l|0,c=c|0,PMe(n[(DMe(s)|0)>>2]|0,l,c)}function DMe(s){return s=s|0,(n[(CR()|0)+24>>2]|0)+(s<<3)|0}function PMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;f=E,E=E+16|0,m=f+1|0,d=f,Pg(m,l),l=Sg(m,l)|0,Pg(d,c),c=Sg(d,c)|0,tf[s&31](l,c),E=f}function SMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=wR()|0,s=bMe(c)|0,hn(m,l,d,s,xMe(c,f)|0,f)}function wR(){var s=0,l=0;if(o[8048]|0||(J9(10896),tr(66,10896,U|0)|0,l=8048,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10896)|0)){s=10896,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));J9(10896)}return 10896}function bMe(s){return s=s|0,s|0}function xMe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=E,E=E+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=wR()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(z9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(kMe(B,d,m),l=n[c>>2]|0),E=k,(l-(n[B>>2]|0)>>3)+-1|0}function z9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function kMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=QMe(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,FMe(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,z9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,RMe(s,d),TMe(d),E=k;return}}function QMe(s){return s=s|0,536870911}function FMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else 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s=s|0,(n[(wR()|0)+24>>2]|0)+(s<<3)|0}function HMe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=E,E=E+16|0,f=c,Pg(f,l),l=Sg(f,l)|0,l=oD(Tg[s&31](l)|0)|0,E=c,l|0}function jMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=IR()|0,s=qMe(c)|0,hn(m,l,d,s,GMe(c,f)|0,f)}function IR(){var s=0,l=0;if(o[8056]|0||(Z9(10932),tr(67,10932,U|0)|0,l=8056,n[l>>2]=1,n[l+4>>2]=0),!(Tr(10932)|0)){s=10932,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));Z9(10932)}return 10932}function qMe(s){return s=s|0,s|0}function GMe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=E,E=E+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=IR()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(X9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(YMe(B,d,m),l=n[c>>2]|0),E=k,(l-(n[B>>2]|0)>>3)+-1|0}function X9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function YMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=WMe(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,KMe(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,X9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,VMe(s,d),zMe(d),E=k;return}}function WMe(s){return s=s|0,536870911}function KMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function VMe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function zMe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function Z9(s){s=s|0,ZMe(s)}function JMe(s){s=s|0,XMe(s+24|0)}function XMe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function ZMe(s){s=s|0;var l=0;l=Kr()|0,Vr(s,1,7,l,$Me()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function $Me(){return 1860}function e4e(s,l,c){return s=s|0,l=l|0,c=c|0,r4e(n[(t4e(s)|0)>>2]|0,l,c)|0}function t4e(s){return s=s|0,(n[(IR()|0)+24>>2]|0)+(s<<3)|0}function r4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0;return f=E,E=E+32|0,B=f+12|0,m=f+8|0,k=f,Q=f+16|0,d=f+4|0,n4e(Q,l),i4e(k,Q,l),Bp(d,c),c=vp(d,c)|0,n[B>>2]=n[k>>2],Uw[s&15](m,B,c),c=s4e(m)|0,qA(m),Dp(d),E=f,c|0}function n4e(s,l){s=s|0,l=l|0}function i4e(s,l,c){s=s|0,l=l|0,c=c|0,o4e(s,c)}function s4e(s){return s=s|0,da(s)|0}function o4e(s,l){s=s|0,l=l|0;var 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f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0;if(k=E,E=E+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=x4e(s)|0,f>>>0>>0)Jr(s);else{Q=n[s>>2]|0,O=(n[s+8>>2]|0)-Q|0,M=O>>2,k4e(d,O>>3>>>0>>1>>>0?M>>>0>>0?B:M:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,t7(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,Q4e(s,d),F4e(d),E=k;return}}function x4e(s){return s=s|0,536870911}function k4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Rt();else{d=Kt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function Q4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function F4e(s){s=s|0;var 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G4e(s){s=s|0,Y4e(s+24|0)}function Y4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function W4e(s){s=s|0;var l=0;l=Kr()|0,Vr(s,5,7,l,J4e()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function K4e(s){s=s|0,V4e(s)}function V4e(s){s=s|0,z4e(s)}function z4e(s){s=s|0,o[s+8>>0]=1}function J4e(){return 1936}function X4e(){return Z4e()|0}function Z4e(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=E,E=E+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,m=s+4|0,n[m>>2]=Kt(1)|0,f=Kt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],$4e(f,m,d),n[c>>2]=f,E=l,s|0}function $4e(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Kt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1916,n[c+12>>2]=l,n[s+4>>2]=c}function eUe(s){s=s|0,Vm(s),gt(s)}function tUe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function rUe(s){s=s|0,gt(s)}function nUe(){var s=0;return o[8088]|0||(uUe(11076),tr(25,11076,U|0)|0,s=8088,n[s>>2]=1,n[s+4>>2]=0),11076}function iUe(s,l){s=s|0,l=l|0,n[s>>2]=sUe()|0,n[s+4>>2]=oUe()|0,n[s+12>>2]=l,n[s+8>>2]=aUe()|0,n[s+32>>2]=10}function sUe(){return 11745}function oUe(){return 1940}function aUe(){return aD()|0}function lUe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Pp(f,896)|0)==512?c|0&&(cUe(c),gt(c)):l|0&>(l)}function cUe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function uUe(s){s=s|0,Ip(s)}function bc(s,l){s=s|0,l=l|0,n[s>>2]=l}function DR(s){return s=s|0,n[s>>2]|0}function AUe(s){return s=s|0,o[n[s>>2]>>0]|0}function fUe(s,l){s=s|0,l=l|0;var c=0,f=0;c=E,E=E+16|0,f=c,n[f>>2]=n[s>>2],pUe(l,f)|0,E=c}function pUe(s,l){s=s|0,l=l|0;var c=0;return c=hUe(n[s>>2]|0,l)|0,l=s+4|0,n[(n[l>>2]|0)+8>>2]=c,n[(n[l>>2]|0)+8>>2]|0}function hUe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=E,E=E+16|0,f=c,Ka(f),s=da(s)|0,l=gUe(s,n[l>>2]|0)|0,Va(f),E=c,l|0}function Ka(s){s=s|0,n[s>>2]=n[2701],n[s+4>>2]=n[2703]}function gUe(s,l){s=s|0,l=l|0;var c=0;return c=Pl(dUe()|0)|0,Qn(0,c|0,s|0,yR(l)|0)|0}function Va(s){s=s|0,W9(n[s>>2]|0,n[s+4>>2]|0)}function dUe(){var s=0;return o[8096]|0||(mUe(11120),s=8096,n[s>>2]=1,n[s+4>>2]=0),11120}function mUe(s){s=s|0,Sl(s,yUe()|0,1)}function yUe(){return 1948}function EUe(){CUe()}function CUe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0,Ge=0,Me=0,Qe=0;if(Me=E,E=E+16|0,O=Me+4|0,q=Me,Ni(65536,10804,n[2702]|0,10812),c=S9()|0,l=n[c>>2]|0,s=n[l>>2]|0,s|0)for(f=n[c+8>>2]|0,c=n[c+4>>2]|0;uc(s|0,u[c>>0]|0|0,o[f>>0]|0),l=l+4|0,s=n[l>>2]|0,s;)f=f+1|0,c=c+1|0;if(s=b9()|0,l=n[s>>2]|0,l|0)do uu(l|0,n[s+4>>2]|0),s=s+8|0,l=n[s>>2]|0;while((l|0)!=0);uu(wUe()|0,5167),M=qm()|0,s=n[M>>2]|0;e:do if(s|0){do IUe(n[s+4>>2]|0),s=n[s>>2]|0;while((s|0)!=0);if(s=n[M>>2]|0,s|0){Q=M;do{for(;d=s,s=n[s>>2]|0,d=n[d+4>>2]|0,!!(BUe(d)|0);)if(n[q>>2]=Q,n[O>>2]=n[q>>2],vUe(M,O)|0,!s)break e;if(DUe(d),Q=n[Q>>2]|0,l=i7(d)|0,m=Hi()|0,B=E,E=E+((1*(l<<2)|0)+15&-16)|0,k=E,E=E+((1*(l<<2)|0)+15&-16)|0,l=n[(_9(d)|0)>>2]|0,l|0)for(c=B,f=k;n[c>>2]=n[(Gm(n[l+4>>2]|0)|0)>>2],n[f>>2]=n[l+8>>2],l=n[l>>2]|0,l;)c=c+4|0,f=f+4|0;Qe=Gm(d)|0,l=PUe(d)|0,c=i7(d)|0,f=SUe(d)|0,Au(Qe|0,l|0,B|0,k|0,c|0,f|0,fR(d)|0),_i(m|0)}while((s|0)!=0)}}while(0);if(s=n[(pR()|0)>>2]|0,s|0)do Qe=s+4|0,M=hR(Qe)|0,d=Nw(M)|0,m=Rw(M)|0,B=(Tw(M)|0)+1|0,k=fD(M)|0,Q=s7(Qe)|0,M=Tr(M)|0,O=cD(Qe)|0,q=PR(Qe)|0,El(0,d|0,m|0,B|0,k|0,Q|0,M|0,O|0,q|0,SR(Qe)|0),s=n[s>>2]|0;while((s|0)!=0);s=n[(qm()|0)>>2]|0;e:do if(s|0){t:for(;;){if(l=n[s+4>>2]|0,l|0&&(se=n[(Gm(l)|0)>>2]|0,Ge=n[(H9(l)|0)>>2]|0,Ge|0)){c=Ge;do{l=c+4|0,f=hR(l)|0;r:do if(f|0)switch(Tr(f)|0){case 0:break t;case 4:case 3:case 2:{k=Nw(f)|0,Q=Rw(f)|0,M=(Tw(f)|0)+1|0,O=fD(f)|0,q=Tr(f)|0,Qe=cD(l)|0,El(se|0,k|0,Q|0,M|0,O|0,0,q|0,Qe|0,PR(l)|0,SR(l)|0);break r}case 1:{B=Nw(f)|0,k=Rw(f)|0,Q=(Tw(f)|0)+1|0,M=fD(f)|0,O=s7(l)|0,q=Tr(f)|0,Qe=cD(l)|0,El(se|0,B|0,k|0,Q|0,M|0,O|0,q|0,Qe|0,PR(l)|0,SR(l)|0);break r}case 5:{M=Nw(f)|0,O=Rw(f)|0,q=(Tw(f)|0)+1|0,Qe=fD(f)|0,El(se|0,M|0,O|0,q|0,Qe|0,bUe(f)|0,Tr(f)|0,0,0,0);break r}default:break r}while(0);c=n[c>>2]|0}while((c|0)!=0)}if(s=n[s>>2]|0,!s)break e}Rt()}while(0);Ce(),E=Me}function wUe(){return 11703}function IUe(s){s=s|0,o[s+40>>0]=0}function BUe(s){return s=s|0,(o[s+40>>0]|0)!=0|0}function vUe(s,l){return s=s|0,l=l|0,l=xUe(l)|0,s=n[l>>2]|0,n[l>>2]=n[s>>2],gt(s),n[l>>2]|0}function DUe(s){s=s|0,o[s+40>>0]=1}function i7(s){return s=s|0,n[s+20>>2]|0}function PUe(s){return s=s|0,n[s+8>>2]|0}function SUe(s){return s=s|0,n[s+32>>2]|0}function fD(s){return s=s|0,n[s+4>>2]|0}function s7(s){return s=s|0,n[s+4>>2]|0}function PR(s){return s=s|0,n[s+8>>2]|0}function SR(s){return s=s|0,n[s+16>>2]|0}function bUe(s){return s=s|0,n[s+20>>2]|0}function xUe(s){return s=s|0,n[s>>2]|0}function pD(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0,Ge=0,Me=0,Qe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0;Lt=E,E=E+16|0,se=Lt;do if(s>>>0<245){if(M=s>>>0<11?16:s+11&-8,s=M>>>3,q=n[2783]|0,c=q>>>s,c&3|0)return l=(c&1^1)+s|0,s=11172+(l<<1<<2)|0,c=s+8|0,f=n[c>>2]|0,d=f+8|0,m=n[d>>2]|0,(s|0)==(m|0)?n[2783]=q&~(1<>2]=s,n[c>>2]=m),qe=l<<3,n[f+4>>2]=qe|3,qe=f+qe+4|0,n[qe>>2]=n[qe>>2]|1,qe=d,E=Lt,qe|0;if(O=n[2785]|0,M>>>0>O>>>0){if(c|0)return l=2<>>12&16,l=l>>>B,c=l>>>5&8,l=l>>>c,d=l>>>2&4,l=l>>>d,s=l>>>1&2,l=l>>>s,f=l>>>1&1,f=(c|B|d|s|f)+(l>>>f)|0,l=11172+(f<<1<<2)|0,s=l+8|0,d=n[s>>2]|0,B=d+8|0,c=n[B>>2]|0,(l|0)==(c|0)?(s=q&~(1<>2]=l,n[s>>2]=c,s=q),m=(f<<3)-M|0,n[d+4>>2]=M|3,f=d+M|0,n[f+4>>2]=m|1,n[f+m>>2]=m,O|0&&(d=n[2788]|0,l=O>>>3,c=11172+(l<<1<<2)|0,l=1<>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=d,n[l+12>>2]=d,n[d+8>>2]=l,n[d+12>>2]=c),n[2785]=m,n[2788]=f,qe=B,E=Lt,qe|0;if(k=n[2784]|0,k){if(c=(k&0-k)+-1|0,B=c>>>12&16,c=c>>>B,m=c>>>5&8,c=c>>>m,Q=c>>>2&4,c=c>>>Q,f=c>>>1&2,c=c>>>f,s=c>>>1&1,s=n[11436+((m|B|Q|f|s)+(c>>>s)<<2)>>2]|0,c=(n[s+4>>2]&-8)-M|0,f=n[s+16+(((n[s+16>>2]|0)==0&1)<<2)>>2]|0,!f)Q=s,m=c;else{do B=(n[f+4>>2]&-8)-M|0,Q=B>>>0>>0,c=Q?B:c,s=Q?f:s,f=n[f+16+(((n[f+16>>2]|0)==0&1)<<2)>>2]|0;while((f|0)!=0);Q=s,m=c}if(B=Q+M|0,Q>>>0>>0){d=n[Q+24>>2]|0,l=n[Q+12>>2]|0;do if((l|0)==(Q|0)){if(s=Q+20|0,l=n[s>>2]|0,!l&&(s=Q+16|0,l=n[s>>2]|0,!l)){c=0;break}for(;;){if(c=l+20|0,f=n[c>>2]|0,f|0){l=f,s=c;continue}if(c=l+16|0,f=n[c>>2]|0,f)l=f,s=c;else break}n[s>>2]=0,c=l}else c=n[Q+8>>2]|0,n[c+12>>2]=l,n[l+8>>2]=c,c=l;while(0);do if(d|0){if(l=n[Q+28>>2]|0,s=11436+(l<<2)|0,(Q|0)==(n[s>>2]|0)){if(n[s>>2]=c,!c){n[2784]=k&~(1<>2]|0)!=(Q|0)&1)<<2)>>2]=c,!c)break;n[c+24>>2]=d,l=n[Q+16>>2]|0,l|0&&(n[c+16>>2]=l,n[l+24>>2]=c),l=n[Q+20>>2]|0,l|0&&(n[c+20>>2]=l,n[l+24>>2]=c)}while(0);return m>>>0<16?(qe=m+M|0,n[Q+4>>2]=qe|3,qe=Q+qe+4|0,n[qe>>2]=n[qe>>2]|1):(n[Q+4>>2]=M|3,n[B+4>>2]=m|1,n[B+m>>2]=m,O|0&&(f=n[2788]|0,l=O>>>3,c=11172+(l<<1<<2)|0,l=1<>2]|0):(n[2783]=q|l,l=c,s=c+8|0),n[s>>2]=f,n[l+12>>2]=f,n[f+8>>2]=l,n[f+12>>2]=c),n[2785]=m,n[2788]=B),qe=Q+8|0,E=Lt,qe|0}else q=M}else q=M}else q=M}else if(s>>>0<=4294967231)if(s=s+11|0,M=s&-8,Q=n[2784]|0,Q){f=0-M|0,s=s>>>8,s?M>>>0>16777215?k=31:(q=(s+1048320|0)>>>16&8,Ue=s<>>16&4,Ue=Ue<>>16&2,k=14-(O|q|k)+(Ue<>>15)|0,k=M>>>(k+7|0)&1|k<<1):k=0,c=n[11436+(k<<2)>>2]|0;e:do if(!c)c=0,s=0,Ue=57;else for(s=0,B=M<<((k|0)==31?0:25-(k>>>1)|0),m=0;;){if(d=(n[c+4>>2]&-8)-M|0,d>>>0>>0)if(d)s=c,f=d;else{s=c,f=0,d=c,Ue=61;break e}if(d=n[c+20>>2]|0,c=n[c+16+(B>>>31<<2)>>2]|0,m=(d|0)==0|(d|0)==(c|0)?m:d,d=(c|0)==0,d){c=m,Ue=57;break}else B=B<<((d^1)&1)}while(0);if((Ue|0)==57){if((c|0)==0&(s|0)==0){if(s=2<>>12&16,q=q>>>B,m=q>>>5&8,q=q>>>m,k=q>>>2&4,q=q>>>k,O=q>>>1&2,q=q>>>O,c=q>>>1&1,s=0,c=n[11436+((m|B|k|O|c)+(q>>>c)<<2)>>2]|0}c?(d=c,Ue=61):(k=s,B=f)}if((Ue|0)==61)for(;;)if(Ue=0,c=(n[d+4>>2]&-8)-M|0,q=c>>>0>>0,c=q?c:f,s=q?d:s,d=n[d+16+(((n[d+16>>2]|0)==0&1)<<2)>>2]|0,d)f=c,Ue=61;else{k=s,B=c;break}if((k|0)!=0&&B>>>0<((n[2785]|0)-M|0)>>>0){if(m=k+M|0,k>>>0>=m>>>0)return qe=0,E=Lt,qe|0;d=n[k+24>>2]|0,l=n[k+12>>2]|0;do if((l|0)==(k|0)){if(s=k+20|0,l=n[s>>2]|0,!l&&(s=k+16|0,l=n[s>>2]|0,!l)){l=0;break}for(;;){if(c=l+20|0,f=n[c>>2]|0,f|0){l=f,s=c;continue}if(c=l+16|0,f=n[c>>2]|0,f)l=f,s=c;else break}n[s>>2]=0}else qe=n[k+8>>2]|0,n[qe+12>>2]=l,n[l+8>>2]=qe;while(0);do if(d){if(s=n[k+28>>2]|0,c=11436+(s<<2)|0,(k|0)==(n[c>>2]|0)){if(n[c>>2]=l,!l){f=Q&~(1<>2]|0)!=(k|0)&1)<<2)>>2]=l,!l){f=Q;break}n[l+24>>2]=d,s=n[k+16>>2]|0,s|0&&(n[l+16>>2]=s,n[s+24>>2]=l),s=n[k+20>>2]|0,s&&(n[l+20>>2]=s,n[s+24>>2]=l),f=Q}else f=Q;while(0);do if(B>>>0>=16){if(n[k+4>>2]=M|3,n[m+4>>2]=B|1,n[m+B>>2]=B,l=B>>>3,B>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=m,n[l+12>>2]=m,n[m+8>>2]=l,n[m+12>>2]=c;break}if(l=B>>>8,l?B>>>0>16777215?l=31:(Ue=(l+1048320|0)>>>16&8,qe=l<>>16&4,qe=qe<>>16&2,l=14-(at|Ue|l)+(qe<>>15)|0,l=B>>>(l+7|0)&1|l<<1):l=0,c=11436+(l<<2)|0,n[m+28>>2]=l,s=m+16|0,n[s+4>>2]=0,n[s>>2]=0,s=1<>2]=m,n[m+24>>2]=c,n[m+12>>2]=m,n[m+8>>2]=m;break}for(s=B<<((l|0)==31?0:25-(l>>>1)|0),c=n[c>>2]|0;;){if((n[c+4>>2]&-8|0)==(B|0)){Ue=97;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=96;break}}if((Ue|0)==96){n[f>>2]=m,n[m+24>>2]=c,n[m+12>>2]=m,n[m+8>>2]=m;break}else if((Ue|0)==97){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=m,n[Ue>>2]=m,n[m+8>>2]=qe,n[m+12>>2]=c,n[m+24>>2]=0;break}}else qe=B+M|0,n[k+4>>2]=qe|3,qe=k+qe+4|0,n[qe>>2]=n[qe>>2]|1;while(0);return qe=k+8|0,E=Lt,qe|0}else q=M}else q=M;else q=-1;while(0);if(c=n[2785]|0,c>>>0>=q>>>0)return l=c-q|0,s=n[2788]|0,l>>>0>15?(qe=s+q|0,n[2788]=qe,n[2785]=l,n[qe+4>>2]=l|1,n[qe+l>>2]=l,n[s+4>>2]=q|3):(n[2785]=0,n[2788]=0,n[s+4>>2]=c|3,qe=s+c+4|0,n[qe>>2]=n[qe>>2]|1),qe=s+8|0,E=Lt,qe|0;if(B=n[2786]|0,B>>>0>q>>>0)return at=B-q|0,n[2786]=at,qe=n[2789]|0,Ue=qe+q|0,n[2789]=Ue,n[Ue+4>>2]=at|1,n[qe+4>>2]=q|3,qe=qe+8|0,E=Lt,qe|0;if(n[2901]|0?s=n[2903]|0:(n[2903]=4096,n[2902]=4096,n[2904]=-1,n[2905]=-1,n[2906]=0,n[2894]=0,s=se&-16^1431655768,n[se>>2]=s,n[2901]=s,s=4096),k=q+48|0,Q=q+47|0,m=s+Q|0,d=0-s|0,M=m&d,M>>>0<=q>>>0||(s=n[2893]|0,s|0&&(O=n[2891]|0,se=O+M|0,se>>>0<=O>>>0|se>>>0>s>>>0)))return qe=0,E=Lt,qe|0;e:do if(n[2894]&4)l=0,Ue=133;else{c=n[2789]|0;t:do if(c){for(f=11580;s=n[f>>2]|0,!(s>>>0<=c>>>0&&(Qe=f+4|0,(s+(n[Qe>>2]|0)|0)>>>0>c>>>0));)if(s=n[f+8>>2]|0,s)f=s;else{Ue=118;break t}if(l=m-B&d,l>>>0<2147483647)if(s=xp(l|0)|0,(s|0)==((n[f>>2]|0)+(n[Qe>>2]|0)|0)){if((s|0)!=-1){B=l,m=s,Ue=135;break e}}else f=s,Ue=126;else l=0}else Ue=118;while(0);do if((Ue|0)==118)if(c=xp(0)|0,(c|0)!=-1&&(l=c,Ge=n[2902]|0,Me=Ge+-1|0,l=((Me&l|0)==0?0:(Me+l&0-Ge)-l|0)+M|0,Ge=n[2891]|0,Me=l+Ge|0,l>>>0>q>>>0&l>>>0<2147483647)){if(Qe=n[2893]|0,Qe|0&&Me>>>0<=Ge>>>0|Me>>>0>Qe>>>0){l=0;break}if(s=xp(l|0)|0,(s|0)==(c|0)){B=l,m=c,Ue=135;break e}else f=s,Ue=126}else l=0;while(0);do if((Ue|0)==126){if(c=0-l|0,!(k>>>0>l>>>0&(l>>>0<2147483647&(f|0)!=-1)))if((f|0)==-1){l=0;break}else{B=l,m=f,Ue=135;break e}if(s=n[2903]|0,s=Q-l+s&0-s,s>>>0>=2147483647){B=l,m=f,Ue=135;break e}if((xp(s|0)|0)==-1){xp(c|0)|0,l=0;break}else{B=s+l|0,m=f,Ue=135;break e}}while(0);n[2894]=n[2894]|4,Ue=133}while(0);if((Ue|0)==133&&M>>>0<2147483647&&(at=xp(M|0)|0,Qe=xp(0)|0,et=Qe-at|0,Xe=et>>>0>(q+40|0)>>>0,!((at|0)==-1|Xe^1|at>>>0>>0&((at|0)!=-1&(Qe|0)!=-1)^1))&&(B=Xe?et:l,m=at,Ue=135),(Ue|0)==135){l=(n[2891]|0)+B|0,n[2891]=l,l>>>0>(n[2892]|0)>>>0&&(n[2892]=l),Q=n[2789]|0;do if(Q){for(l=11580;;){if(s=n[l>>2]|0,c=l+4|0,f=n[c>>2]|0,(m|0)==(s+f|0)){Ue=145;break}if(d=n[l+8>>2]|0,d)l=d;else break}if((Ue|0)==145&&(n[l+12>>2]&8|0)==0&&Q>>>0>>0&Q>>>0>=s>>>0){n[c>>2]=f+B,qe=Q+8|0,qe=(qe&7|0)==0?0:0-qe&7,Ue=Q+qe|0,qe=(n[2786]|0)+(B-qe)|0,n[2789]=Ue,n[2786]=qe,n[Ue+4>>2]=qe|1,n[Ue+qe+4>>2]=40,n[2790]=n[2905];break}for(m>>>0<(n[2787]|0)>>>0&&(n[2787]=m),c=m+B|0,l=11580;;){if((n[l>>2]|0)==(c|0)){Ue=153;break}if(s=n[l+8>>2]|0,s)l=s;else break}if((Ue|0)==153&&(n[l+12>>2]&8|0)==0){n[l>>2]=m,O=l+4|0,n[O>>2]=(n[O>>2]|0)+B,O=m+8|0,O=m+((O&7|0)==0?0:0-O&7)|0,l=c+8|0,l=c+((l&7|0)==0?0:0-l&7)|0,M=O+q|0,k=l-O-q|0,n[O+4>>2]=q|3;do if((l|0)!=(Q|0)){if((l|0)==(n[2788]|0)){qe=(n[2785]|0)+k|0,n[2785]=qe,n[2788]=M,n[M+4>>2]=qe|1,n[M+qe>>2]=qe;break}if(s=n[l+4>>2]|0,(s&3|0)==1){B=s&-8,f=s>>>3;e:do if(s>>>0<256)if(s=n[l+8>>2]|0,c=n[l+12>>2]|0,(c|0)==(s|0)){n[2783]=n[2783]&~(1<>2]=c,n[c+8>>2]=s;break}else{m=n[l+24>>2]|0,s=n[l+12>>2]|0;do if((s|0)==(l|0)){if(f=l+16|0,c=f+4|0,s=n[c>>2]|0,!s)if(s=n[f>>2]|0,s)c=f;else{s=0;break}for(;;){if(f=s+20|0,d=n[f>>2]|0,d|0){s=d,c=f;continue}if(f=s+16|0,d=n[f>>2]|0,d)s=d,c=f;else break}n[c>>2]=0}else qe=n[l+8>>2]|0,n[qe+12>>2]=s,n[s+8>>2]=qe;while(0);if(!m)break;c=n[l+28>>2]|0,f=11436+(c<<2)|0;do if((l|0)!=(n[f>>2]|0)){if(n[m+16+(((n[m+16>>2]|0)!=(l|0)&1)<<2)>>2]=s,!s)break e}else{if(n[f>>2]=s,s|0)break;n[2784]=n[2784]&~(1<>2]=m,c=l+16|0,f=n[c>>2]|0,f|0&&(n[s+16>>2]=f,n[f+24>>2]=s),c=n[c+4>>2]|0,!c)break;n[s+20>>2]=c,n[c+24>>2]=s}while(0);l=l+B|0,d=B+k|0}else d=k;if(l=l+4|0,n[l>>2]=n[l>>2]&-2,n[M+4>>2]=d|1,n[M+d>>2]=d,l=d>>>3,d>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=M,n[l+12>>2]=M,n[M+8>>2]=l,n[M+12>>2]=c;break}l=d>>>8;do if(!l)l=0;else{if(d>>>0>16777215){l=31;break}Ue=(l+1048320|0)>>>16&8,qe=l<>>16&4,qe=qe<>>16&2,l=14-(at|Ue|l)+(qe<>>15)|0,l=d>>>(l+7|0)&1|l<<1}while(0);if(f=11436+(l<<2)|0,n[M+28>>2]=l,s=M+16|0,n[s+4>>2]=0,n[s>>2]=0,s=n[2784]|0,c=1<>2]=M,n[M+24>>2]=f,n[M+12>>2]=M,n[M+8>>2]=M;break}for(s=d<<((l|0)==31?0:25-(l>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(d|0)){Ue=194;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=193;break}}if((Ue|0)==193){n[f>>2]=M,n[M+24>>2]=c,n[M+12>>2]=M,n[M+8>>2]=M;break}else if((Ue|0)==194){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=M,n[Ue>>2]=M,n[M+8>>2]=qe,n[M+12>>2]=c,n[M+24>>2]=0;break}}else qe=(n[2786]|0)+k|0,n[2786]=qe,n[2789]=M,n[M+4>>2]=qe|1;while(0);return qe=O+8|0,E=Lt,qe|0}for(l=11580;s=n[l>>2]|0,!(s>>>0<=Q>>>0&&(qe=s+(n[l+4>>2]|0)|0,qe>>>0>Q>>>0));)l=n[l+8>>2]|0;d=qe+-47|0,s=d+8|0,s=d+((s&7|0)==0?0:0-s&7)|0,d=Q+16|0,s=s>>>0>>0?Q:s,l=s+8|0,c=m+8|0,c=(c&7|0)==0?0:0-c&7,Ue=m+c|0,c=B+-40-c|0,n[2789]=Ue,n[2786]=c,n[Ue+4>>2]=c|1,n[Ue+c+4>>2]=40,n[2790]=n[2905],c=s+4|0,n[c>>2]=27,n[l>>2]=n[2895],n[l+4>>2]=n[2896],n[l+8>>2]=n[2897],n[l+12>>2]=n[2898],n[2895]=m,n[2896]=B,n[2898]=0,n[2897]=l,l=s+24|0;do Ue=l,l=l+4|0,n[l>>2]=7;while((Ue+8|0)>>>0>>0);if((s|0)!=(Q|0)){if(m=s-Q|0,n[c>>2]=n[c>>2]&-2,n[Q+4>>2]=m|1,n[s>>2]=m,l=m>>>3,m>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=Q,n[l+12>>2]=Q,n[Q+8>>2]=l,n[Q+12>>2]=c;break}if(l=m>>>8,l?m>>>0>16777215?c=31:(Ue=(l+1048320|0)>>>16&8,qe=l<>>16&4,qe=qe<>>16&2,c=14-(at|Ue|c)+(qe<>>15)|0,c=m>>>(c+7|0)&1|c<<1):c=0,f=11436+(c<<2)|0,n[Q+28>>2]=c,n[Q+20>>2]=0,n[d>>2]=0,l=n[2784]|0,s=1<>2]=Q,n[Q+24>>2]=f,n[Q+12>>2]=Q,n[Q+8>>2]=Q;break}for(s=m<<((c|0)==31?0:25-(c>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(m|0)){Ue=216;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=215;break}}if((Ue|0)==215){n[f>>2]=Q,n[Q+24>>2]=c,n[Q+12>>2]=Q,n[Q+8>>2]=Q;break}else if((Ue|0)==216){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=Q,n[Ue>>2]=Q,n[Q+8>>2]=qe,n[Q+12>>2]=c,n[Q+24>>2]=0;break}}}else{qe=n[2787]|0,(qe|0)==0|m>>>0>>0&&(n[2787]=m),n[2895]=m,n[2896]=B,n[2898]=0,n[2792]=n[2901],n[2791]=-1,l=0;do qe=11172+(l<<1<<2)|0,n[qe+12>>2]=qe,n[qe+8>>2]=qe,l=l+1|0;while((l|0)!=32);qe=m+8|0,qe=(qe&7|0)==0?0:0-qe&7,Ue=m+qe|0,qe=B+-40-qe|0,n[2789]=Ue,n[2786]=qe,n[Ue+4>>2]=qe|1,n[Ue+qe+4>>2]=40,n[2790]=n[2905]}while(0);if(l=n[2786]|0,l>>>0>q>>>0)return at=l-q|0,n[2786]=at,qe=n[2789]|0,Ue=qe+q|0,n[2789]=Ue,n[Ue+4>>2]=at|1,n[qe+4>>2]=q|3,qe=qe+8|0,E=Lt,qe|0}return n[(Wm()|0)>>2]=12,qe=0,E=Lt,qe|0}function hD(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0;if(!!s){c=s+-8|0,d=n[2787]|0,s=n[s+-4>>2]|0,l=s&-8,Q=c+l|0;do if(s&1)k=c,B=c;else{if(f=n[c>>2]|0,!(s&3)||(B=c+(0-f)|0,m=f+l|0,B>>>0>>0))return;if((B|0)==(n[2788]|0)){if(s=Q+4|0,l=n[s>>2]|0,(l&3|0)!=3){k=B,l=m;break}n[2785]=m,n[s>>2]=l&-2,n[B+4>>2]=m|1,n[B+m>>2]=m;return}if(c=f>>>3,f>>>0<256)if(s=n[B+8>>2]|0,l=n[B+12>>2]|0,(l|0)==(s|0)){n[2783]=n[2783]&~(1<>2]=l,n[l+8>>2]=s,k=B,l=m;break}d=n[B+24>>2]|0,s=n[B+12>>2]|0;do if((s|0)==(B|0)){if(c=B+16|0,l=c+4|0,s=n[l>>2]|0,!s)if(s=n[c>>2]|0,s)l=c;else{s=0;break}for(;;){if(c=s+20|0,f=n[c>>2]|0,f|0){s=f,l=c;continue}if(c=s+16|0,f=n[c>>2]|0,f)s=f,l=c;else break}n[l>>2]=0}else k=n[B+8>>2]|0,n[k+12>>2]=s,n[s+8>>2]=k;while(0);if(d){if(l=n[B+28>>2]|0,c=11436+(l<<2)|0,(B|0)==(n[c>>2]|0)){if(n[c>>2]=s,!s){n[2784]=n[2784]&~(1<>2]|0)!=(B|0)&1)<<2)>>2]=s,!s){k=B,l=m;break}n[s+24>>2]=d,l=B+16|0,c=n[l>>2]|0,c|0&&(n[s+16>>2]=c,n[c+24>>2]=s),l=n[l+4>>2]|0,l?(n[s+20>>2]=l,n[l+24>>2]=s,k=B,l=m):(k=B,l=m)}else k=B,l=m}while(0);if(!(B>>>0>=Q>>>0)&&(s=Q+4|0,f=n[s>>2]|0,!!(f&1))){if(f&2)n[s>>2]=f&-2,n[k+4>>2]=l|1,n[B+l>>2]=l,d=l;else{if(s=n[2788]|0,(Q|0)==(n[2789]|0)){if(Q=(n[2786]|0)+l|0,n[2786]=Q,n[2789]=k,n[k+4>>2]=Q|1,(k|0)!=(s|0))return;n[2788]=0,n[2785]=0;return}if((Q|0)==(s|0)){Q=(n[2785]|0)+l|0,n[2785]=Q,n[2788]=B,n[k+4>>2]=Q|1,n[B+Q>>2]=Q;return}d=(f&-8)+l|0,c=f>>>3;do if(f>>>0<256)if(l=n[Q+8>>2]|0,s=n[Q+12>>2]|0,(s|0)==(l|0)){n[2783]=n[2783]&~(1<>2]=s,n[s+8>>2]=l;break}else{m=n[Q+24>>2]|0,s=n[Q+12>>2]|0;do if((s|0)==(Q|0)){if(c=Q+16|0,l=c+4|0,s=n[l>>2]|0,!s)if(s=n[c>>2]|0,s)l=c;else{c=0;break}for(;;){if(c=s+20|0,f=n[c>>2]|0,f|0){s=f,l=c;continue}if(c=s+16|0,f=n[c>>2]|0,f)s=f,l=c;else break}n[l>>2]=0,c=s}else c=n[Q+8>>2]|0,n[c+12>>2]=s,n[s+8>>2]=c,c=s;while(0);if(m|0){if(s=n[Q+28>>2]|0,l=11436+(s<<2)|0,(Q|0)==(n[l>>2]|0)){if(n[l>>2]=c,!c){n[2784]=n[2784]&~(1<>2]|0)!=(Q|0)&1)<<2)>>2]=c,!c)break;n[c+24>>2]=m,s=Q+16|0,l=n[s>>2]|0,l|0&&(n[c+16>>2]=l,n[l+24>>2]=c),s=n[s+4>>2]|0,s|0&&(n[c+20>>2]=s,n[s+24>>2]=c)}}while(0);if(n[k+4>>2]=d|1,n[B+d>>2]=d,(k|0)==(n[2788]|0)){n[2785]=d;return}}if(s=d>>>3,d>>>0<256){c=11172+(s<<1<<2)|0,l=n[2783]|0,s=1<>2]|0):(n[2783]=l|s,s=c,l=c+8|0),n[l>>2]=k,n[s+12>>2]=k,n[k+8>>2]=s,n[k+12>>2]=c;return}s=d>>>8,s?d>>>0>16777215?s=31:(B=(s+1048320|0)>>>16&8,Q=s<>>16&4,Q=Q<>>16&2,s=14-(m|B|s)+(Q<>>15)|0,s=d>>>(s+7|0)&1|s<<1):s=0,f=11436+(s<<2)|0,n[k+28>>2]=s,n[k+20>>2]=0,n[k+16>>2]=0,l=n[2784]|0,c=1<>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(d|0)){s=73;break}if(f=c+16+(l>>>31<<2)|0,s=n[f>>2]|0,s)l=l<<1,c=s;else{s=72;break}}if((s|0)==72){n[f>>2]=k,n[k+24>>2]=c,n[k+12>>2]=k,n[k+8>>2]=k;break}else if((s|0)==73){B=c+8|0,Q=n[B>>2]|0,n[Q+12>>2]=k,n[B>>2]=k,n[k+8>>2]=Q,n[k+12>>2]=c,n[k+24>>2]=0;break}}else n[2784]=l|c,n[f>>2]=k,n[k+24>>2]=f,n[k+12>>2]=k,n[k+8>>2]=k;while(0);if(Q=(n[2791]|0)+-1|0,n[2791]=Q,!Q)s=11588;else return;for(;s=n[s>>2]|0,s;)s=s+8|0;n[2791]=-1}}}function kUe(){return 11628}function QUe(s){s=s|0;var l=0,c=0;return l=E,E=E+16|0,c=l,n[c>>2]=TUe(n[s+60>>2]|0)|0,s=gD(hc(6,c|0)|0)|0,E=l,s|0}function o7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0,Ge=0;q=E,E=E+48|0,M=q+16|0,m=q,d=q+32|0,k=s+28|0,f=n[k>>2]|0,n[d>>2]=f,Q=s+20|0,f=(n[Q>>2]|0)-f|0,n[d+4>>2]=f,n[d+8>>2]=l,n[d+12>>2]=c,f=f+c|0,B=s+60|0,n[m>>2]=n[B>>2],n[m+4>>2]=d,n[m+8>>2]=2,m=gD(Li(146,m|0)|0)|0;e:do if((f|0)!=(m|0)){for(l=2;!((m|0)<0);)if(f=f-m|0,Ge=n[d+4>>2]|0,se=m>>>0>Ge>>>0,d=se?d+8|0:d,l=(se<<31>>31)+l|0,Ge=m-(se?Ge:0)|0,n[d>>2]=(n[d>>2]|0)+Ge,se=d+4|0,n[se>>2]=(n[se>>2]|0)-Ge,n[M>>2]=n[B>>2],n[M+4>>2]=d,n[M+8>>2]=l,m=gD(Li(146,M|0)|0)|0,(f|0)==(m|0)){O=3;break e}n[s+16>>2]=0,n[k>>2]=0,n[Q>>2]=0,n[s>>2]=n[s>>2]|32,(l|0)==2?c=0:c=c-(n[d+4>>2]|0)|0}else O=3;while(0);return(O|0)==3&&(Ge=n[s+44>>2]|0,n[s+16>>2]=Ge+(n[s+48>>2]|0),n[k>>2]=Ge,n[Q>>2]=Ge),E=q,c|0}function FUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return d=E,E=E+32|0,m=d,f=d+20|0,n[m>>2]=n[s+60>>2],n[m+4>>2]=0,n[m+8>>2]=l,n[m+12>>2]=f,n[m+16>>2]=c,(gD(sa(140,m|0)|0)|0)<0?(n[f>>2]=-1,s=-1):s=n[f>>2]|0,E=d,s|0}function gD(s){return s=s|0,s>>>0>4294963200&&(n[(Wm()|0)>>2]=0-s,s=-1),s|0}function Wm(){return(RUe()|0)+64|0}function RUe(){return bR()|0}function bR(){return 2084}function TUe(s){return s=s|0,s|0}function NUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;return d=E,E=E+32|0,f=d,n[s+36>>2]=1,(n[s>>2]&64|0)==0&&(n[f>>2]=n[s+60>>2],n[f+4>>2]=21523,n[f+8>>2]=d+16,fu(54,f|0)|0)&&(o[s+75>>0]=-1),f=o7(s,l,c)|0,E=d,f|0}function a7(s,l){s=s|0,l=l|0;var c=0,f=0;if(c=o[s>>0]|0,f=o[l>>0]|0,c<<24>>24==0||c<<24>>24!=f<<24>>24)s=f;else{do s=s+1|0,l=l+1|0,c=o[s>>0]|0,f=o[l>>0]|0;while(!(c<<24>>24==0||c<<24>>24!=f<<24>>24));s=f}return(c&255)-(s&255)|0}function LUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;e:do if(!c)s=0;else{for(;f=o[s>>0]|0,d=o[l>>0]|0,f<<24>>24==d<<24>>24;)if(c=c+-1|0,c)s=s+1|0,l=l+1|0;else{s=0;break e}s=(f&255)-(d&255)|0}while(0);return s|0}function l7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0,Ge=0,Me=0,Qe=0;Qe=E,E=E+224|0,O=Qe+120|0,q=Qe+80|0,Ge=Qe,Me=Qe+136|0,f=q,d=f+40|0;do n[f>>2]=0,f=f+4|0;while((f|0)<(d|0));return n[O>>2]=n[c>>2],(xR(0,l,O,Ge,q)|0)<0?c=-1:((n[s+76>>2]|0)>-1?se=OUe(s)|0:se=0,c=n[s>>2]|0,M=c&32,(o[s+74>>0]|0)<1&&(n[s>>2]=c&-33),f=s+48|0,n[f>>2]|0?c=xR(s,l,O,Ge,q)|0:(d=s+44|0,m=n[d>>2]|0,n[d>>2]=Me,B=s+28|0,n[B>>2]=Me,k=s+20|0,n[k>>2]=Me,n[f>>2]=80,Q=s+16|0,n[Q>>2]=Me+80,c=xR(s,l,O,Ge,q)|0,m&&(ED[n[s+36>>2]&7](s,0,0)|0,c=(n[k>>2]|0)==0?-1:c,n[d>>2]=m,n[f>>2]=0,n[Q>>2]=0,n[B>>2]=0,n[k>>2]=0)),f=n[s>>2]|0,n[s>>2]=f|M,se|0&&MUe(s),c=(f&32|0)==0?c:-1),E=Qe,c|0}function xR(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,M=0,O=0,q=0,se=0,Ge=0,Me=0,Qe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Mr=0,or=0,Xt=0,Pr=0,Nr=0,ir=0;ir=E,E=E+64|0,or=ir+16|0,Xt=ir,Lt=ir+24|0,Pr=ir+8|0,Nr=ir+20|0,n[or>>2]=l,at=(s|0)!=0,Ue=Lt+40|0,qe=Ue,Lt=Lt+39|0,Mr=Pr+4|0,B=0,m=0,O=0;e:for(;;){do if((m|0)>-1)if((B|0)>(2147483647-m|0)){n[(Wm()|0)>>2]=75,m=-1;break}else{m=B+m|0;break}while(0);if(B=o[l>>0]|0,B<<24>>24)k=l;else{Xe=87;break}t:for(;;){switch(B<<24>>24){case 37:{B=k,Xe=9;break t}case 0:{B=k;break t}default:}et=k+1|0,n[or>>2]=et,B=o[et>>0]|0,k=et}t:do if((Xe|0)==9)for(;;){if(Xe=0,(o[k+1>>0]|0)!=37)break t;if(B=B+1|0,k=k+2|0,n[or>>2]=k,(o[k>>0]|0)==37)Xe=9;else break}while(0);if(B=B-l|0,at&&ss(s,l,B),B|0){l=k;continue}Q=k+1|0,B=(o[Q>>0]|0)+-48|0,B>>>0<10?(et=(o[k+2>>0]|0)==36,Qe=et?B:-1,O=et?1:O,Q=et?k+3|0:Q):Qe=-1,n[or>>2]=Q,B=o[Q>>0]|0,k=(B<<24>>24)+-32|0;t:do if(k>>>0<32)for(M=0,q=B;;){if(B=1<>2]=Q,B=o[Q>>0]|0,k=(B<<24>>24)+-32|0,k>>>0>=32)break;q=B}else M=0;while(0);if(B<<24>>24==42){if(k=Q+1|0,B=(o[k>>0]|0)+-48|0,B>>>0<10&&(o[Q+2>>0]|0)==36)n[d+(B<<2)>>2]=10,B=n[f+((o[k>>0]|0)+-48<<3)>>2]|0,O=1,Q=Q+3|0;else{if(O|0){m=-1;break}at?(O=(n[c>>2]|0)+(4-1)&~(4-1),B=n[O>>2]|0,n[c>>2]=O+4,O=0,Q=k):(B=0,O=0,Q=k)}n[or>>2]=Q,et=(B|0)<0,B=et?0-B|0:B,M=et?M|8192:M}else{if(B=c7(or)|0,(B|0)<0){m=-1;break}Q=n[or>>2]|0}do if((o[Q>>0]|0)==46){if((o[Q+1>>0]|0)!=42){n[or>>2]=Q+1,k=c7(or)|0,Q=n[or>>2]|0;break}if(q=Q+2|0,k=(o[q>>0]|0)+-48|0,k>>>0<10&&(o[Q+3>>0]|0)==36){n[d+(k<<2)>>2]=10,k=n[f+((o[q>>0]|0)+-48<<3)>>2]|0,Q=Q+4|0,n[or>>2]=Q;break}if(O|0){m=-1;break e}at?(et=(n[c>>2]|0)+(4-1)&~(4-1),k=n[et>>2]|0,n[c>>2]=et+4):k=0,n[or>>2]=q,Q=q}else k=-1;while(0);for(Me=0;;){if(((o[Q>>0]|0)+-65|0)>>>0>57){m=-1;break e}if(et=Q+1|0,n[or>>2]=et,q=o[(o[Q>>0]|0)+-65+(5178+(Me*58|0))>>0]|0,se=q&255,(se+-1|0)>>>0<8)Me=se,Q=et;else break}if(!(q<<24>>24)){m=-1;break}Ge=(Qe|0)>-1;do if(q<<24>>24==19)if(Ge){m=-1;break e}else Xe=49;else{if(Ge){n[d+(Qe<<2)>>2]=se,Ge=f+(Qe<<3)|0,Qe=n[Ge+4>>2]|0,Xe=Xt,n[Xe>>2]=n[Ge>>2],n[Xe+4>>2]=Qe,Xe=49;break}if(!at){m=0;break e}u7(Xt,se,c)}while(0);if((Xe|0)==49&&(Xe=0,!at)){B=0,l=et;continue}Q=o[Q>>0]|0,Q=(Me|0)!=0&(Q&15|0)==3?Q&-33:Q,Ge=M&-65537,Qe=(M&8192|0)==0?M:Ge;t:do switch(Q|0){case 110:switch((Me&255)<<24>>24){case 0:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 1:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 2:{B=n[Xt>>2]|0,n[B>>2]=m,n[B+4>>2]=((m|0)<0)<<31>>31,B=0,l=et;continue e}case 3:{a[n[Xt>>2]>>1]=m,B=0,l=et;continue e}case 4:{o[n[Xt>>2]>>0]=m,B=0,l=et;continue e}case 6:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 7:{B=n[Xt>>2]|0,n[B>>2]=m,n[B+4>>2]=((m|0)<0)<<31>>31,B=0,l=et;continue e}default:{B=0,l=et;continue e}}case 112:{Q=120,k=k>>>0>8?k:8,l=Qe|8,Xe=61;break}case 88:case 120:{l=Qe,Xe=61;break}case 111:{Q=Xt,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,se=_Ue(l,Q,Ue)|0,Ge=qe-se|0,M=0,q=5642,k=(Qe&8|0)==0|(k|0)>(Ge|0)?k:Ge+1|0,Ge=Qe,Xe=67;break}case 105:case 100:if(Q=Xt,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,(Q|0)<0){l=dD(0,0,l|0,Q|0)|0,Q=De,M=Xt,n[M>>2]=l,n[M+4>>2]=Q,M=1,q=5642,Xe=66;break t}else{M=(Qe&2049|0)!=0&1,q=(Qe&2048|0)==0?(Qe&1|0)==0?5642:5644:5643,Xe=66;break t}case 117:{Q=Xt,M=0,q=5642,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,Xe=66;break}case 99:{o[Lt>>0]=n[Xt>>2],l=Lt,M=0,q=5642,se=Ue,Q=1,k=Ge;break}case 109:{Q=HUe(n[(Wm()|0)>>2]|0)|0,Xe=71;break}case 115:{Q=n[Xt>>2]|0,Q=Q|0?Q:5652,Xe=71;break}case 67:{n[Pr>>2]=n[Xt>>2],n[Mr>>2]=0,n[Xt>>2]=Pr,se=-1,Q=Pr,Xe=75;break}case 83:{l=n[Xt>>2]|0,k?(se=k,Q=l,Xe=75):(Bs(s,32,B,0,Qe),l=0,Xe=84);break}case 65:case 71:case 70:case 69:case 97:case 103:case 102:case 101:{B=qUe(s,+C[Xt>>3],B,k,Qe,Q)|0,l=et;continue e}default:M=0,q=5642,se=Ue,Q=k,k=Qe}while(0);t:do if((Xe|0)==61)Qe=Xt,Me=n[Qe>>2]|0,Qe=n[Qe+4>>2]|0,se=UUe(Me,Qe,Ue,Q&32)|0,q=(l&8|0)==0|(Me|0)==0&(Qe|0)==0,M=q?0:2,q=q?5642:5642+(Q>>4)|0,Ge=l,l=Me,Q=Qe,Xe=67;else if((Xe|0)==66)se=Km(l,Q,Ue)|0,Ge=Qe,Xe=67;else if((Xe|0)==71)Xe=0,Qe=jUe(Q,0,k)|0,Me=(Qe|0)==0,l=Q,M=0,q=5642,se=Me?Q+k|0:Qe,Q=Me?k:Qe-Q|0,k=Ge;else if((Xe|0)==75){for(Xe=0,q=Q,l=0,k=0;M=n[q>>2]|0,!(!M||(k=A7(Nr,M)|0,(k|0)<0|k>>>0>(se-l|0)>>>0));)if(l=k+l|0,se>>>0>l>>>0)q=q+4|0;else break;if((k|0)<0){m=-1;break e}if(Bs(s,32,B,l,Qe),!l)l=0,Xe=84;else for(M=0;;){if(k=n[Q>>2]|0,!k){Xe=84;break t}if(k=A7(Nr,k)|0,M=k+M|0,(M|0)>(l|0)){Xe=84;break t}if(ss(s,Nr,k),M>>>0>=l>>>0){Xe=84;break}else Q=Q+4|0}}while(0);if((Xe|0)==67)Xe=0,Q=(l|0)!=0|(Q|0)!=0,Qe=(k|0)!=0|Q,Q=((Q^1)&1)+(qe-se)|0,l=Qe?se:Ue,se=Ue,Q=Qe?(k|0)>(Q|0)?k:Q:k,k=(k|0)>-1?Ge&-65537:Ge;else if((Xe|0)==84){Xe=0,Bs(s,32,B,l,Qe^8192),B=(B|0)>(l|0)?B:l,l=et;continue}Me=se-l|0,Ge=(Q|0)<(Me|0)?Me:Q,Qe=Ge+M|0,B=(B|0)<(Qe|0)?Qe:B,Bs(s,32,B,Qe,k),ss(s,q,M),Bs(s,48,B,Qe,k^65536),Bs(s,48,Ge,Me,0),ss(s,l,Me),Bs(s,32,B,Qe,k^8192),l=et}e:do if((Xe|0)==87&&!s)if(!O)m=0;else{for(m=1;l=n[d+(m<<2)>>2]|0,!!l;)if(u7(f+(m<<3)|0,l,c),m=m+1|0,(m|0)>=10){m=1;break e}for(;;){if(n[d+(m<<2)>>2]|0){m=-1;break e}if(m=m+1|0,(m|0)>=10){m=1;break}}}while(0);return E=ir,m|0}function OUe(s){return s=s|0,0}function MUe(s){s=s|0}function ss(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]&32||ZUe(l,c,s)|0}function c7(s){s=s|0;var l=0,c=0,f=0;if(c=n[s>>2]|0,f=(o[c>>0]|0)+-48|0,f>>>0<10){l=0;do l=f+(l*10|0)|0,c=c+1|0,n[s>>2]=c,f=(o[c>>0]|0)+-48|0;while(f>>>0<10)}else l=0;return l|0}function u7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;e:do if(l>>>0<=20)do switch(l|0){case 9:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,n[s>>2]=l;break e}case 10:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,f=s,n[f>>2]=l,n[f+4>>2]=((l|0)<0)<<31>>31;break e}case 11:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,f=s,n[f>>2]=l,n[f+4>>2]=0;break e}case 12:{f=(n[c>>2]|0)+(8-1)&~(8-1),l=f,d=n[l>>2]|0,l=n[l+4>>2]|0,n[c>>2]=f+8,f=s,n[f>>2]=d,n[f+4>>2]=l;break e}case 13:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,f=(f&65535)<<16>>16,d=s,n[d>>2]=f,n[d+4>>2]=((f|0)<0)<<31>>31;break e}case 14:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,d=s,n[d>>2]=f&65535,n[d+4>>2]=0;break e}case 15:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,f=(f&255)<<24>>24,d=s,n[d>>2]=f,n[d+4>>2]=((f|0)<0)<<31>>31;break e}case 16:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,d=s,n[d>>2]=f&255,n[d+4>>2]=0;break e}case 17:{d=(n[c>>2]|0)+(8-1)&~(8-1),m=+C[d>>3],n[c>>2]=d+8,C[s>>3]=m;break e}case 18:{d=(n[c>>2]|0)+(8-1)&~(8-1),m=+C[d>>3],n[c>>2]=d+8,C[s>>3]=m;break e}default:break e}while(0);while(0)}function UUe(s,l,c,f){if(s=s|0,l=l|0,c=c|0,f=f|0,!((s|0)==0&(l|0)==0))do c=c+-1|0,o[c>>0]=u[5694+(s&15)>>0]|0|f,s=mD(s|0,l|0,4)|0,l=De;while(!((s|0)==0&(l|0)==0));return c|0}function _Ue(s,l,c){if(s=s|0,l=l|0,c=c|0,!((s|0)==0&(l|0)==0))do c=c+-1|0,o[c>>0]=s&7|48,s=mD(s|0,l|0,3)|0,l=De;while(!((s|0)==0&(l|0)==0));return c|0}function Km(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;if(l>>>0>0|(l|0)==0&s>>>0>4294967295){for(;f=RR(s|0,l|0,10,0)|0,c=c+-1|0,o[c>>0]=f&255|48,f=s,s=FR(s|0,l|0,10,0)|0,l>>>0>9|(l|0)==9&f>>>0>4294967295;)l=De;l=s}else l=s;if(l)for(;c=c+-1|0,o[c>>0]=(l>>>0)%10|0|48,!(l>>>0<10);)l=(l>>>0)/10|0;return c|0}function HUe(s){return s=s|0,VUe(s,n[(KUe()|0)+188>>2]|0)|0}function jUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;m=l&255,f=(c|0)!=0;e:do if(f&(s&3|0)!=0)for(d=l&255;;){if((o[s>>0]|0)==d<<24>>24){B=6;break 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I7=[T3e,YLe],B7=[N3e,fo],v7=[ma,Sw,bw,wF,IF,Dl,xw,BF,_m,bu,Qw,vF,$v,WA,eD,Hm,tD,rD,jm,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma],D7=[L3e],ef=[Er,Vm,DDe,PDe,SDe,rxe,nxe,ixe,CNe,wNe,INe,FLe,RLe,TLe,eUe,tUe,rUe,hs,Vv,Um,YA,kw,wve,Ive,gDe,NDe,KDe,APe,SPe,GPe,aSe,ISe,OSe,$Se,gbe,Qbe,Kbe,wxe,Oxe,$xe,gke,Qke,Kke,fQe,SQe,HQe,nFe,Sc,TFe,JFe,gRe,RRe,VRe,gTe,DTe,bTe,YTe,VTe,ANe,vNe,SNe,GNe,lLe,l5,qOe,CMe,NMe,JMe,y4e,R4e,G4e,K4e,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er],tf=[Ow,hF,gF,Pw,Su,dF,mF,wp,yF,EF,CF,Zv,KA,Ve,At,Wt,vr,Sn,Fr,PF,lve,Qve,dQe,kQe,ORe,WOe,dLe,W9,Ow,Ow,Ow,Ow],Tg=[za,QUe,pF,D,fe,ve,vt,wt,xt,_r,di,po,sve,ove,Bve,oFe,ZRe,KNe,JOe,Wa,za,za,za,za,za,za,za,za,za,za,za,za],P7=[O3e,vve],J3e=[M3e,hNe],ED=[U3e,o7,FUe,NUe,VPe,Dxe,MFe,e4e],X3e=[_3e,Ebe],S7=[Rg,Yo,rt,bn,Dve,Pve,Sve,bve,xve,kve,Rg,Rg,Rg,Rg,Rg,Rg],Z3e=[H3e,ITe],NR=[Mw,r3e,ave,EDe,gPe,uSe,DSe,Xbe,Hxe,YQe,Wv,UMe,Mw,Mw,Mw,Mw],$3e=[j3e,XDe],e_e=[q3e,I4e],b7=[TR,ai,Fve,Rve,Tve,Nbe,TR,TR],CD=[G3e,Nve,vw,ga,FTe,ZTe,QNe,X4e],x7=[Y3e,yw],t_e=[W3e,Eke],k7=[K3e,cve],Uw=[yD,T,is,en,ho,QPe,_Se,Nke,Xke,Mm,hOe,vMe,O4e,yD,yD,yD],Q7=[V3e],F7=[Jm,zv,Jv,Xv,GA,nD,DF,P,nke,eRe,yTe,Jm,Jm,Jm,Jm,Jm],r_e=[z3e,yNe],LR=[Xm,nbe,hFe,ERe,aTe,MTe,iNe,MNe,pLe,rMe,lUe,Xm,Xm,Xm,Xm,Xm];return{_llvm_bswap_i32:w7,dynCall_idd:F3e,dynCall_i:D3e,_i64Subtract:dD,___udivdi3:FR,dynCall_vif:c3e,setThrew:hu,dynCall_viii:x3e,_bitshift64Lshr:mD,_bitshift64Shl:y7,dynCall_vi:f3e,dynCall_viiddi:I3e,dynCall_diii:y3e,dynCall_iii:w3e,_memset:zm,_sbrk:xp,_memcpy:Dr,__GLOBAL__sub_I_Yoga_cpp:Om,dynCall_vii:p3e,___uremdi3:RR,dynCall_vid:u3e,stackAlloc:lo,_nbind_init:EUe,getTempRet0:Ua,dynCall_di:E3e,dynCall_iid:C3e,setTempRet0:bA,_i64Add:QR,dynCall_fiff:A3e,dynCall_iiii:m3e,_emscripten_get_global_libc:kUe,dynCall_viid:Q3e,dynCall_viiid:S3e,dynCall_viififi:b3e,dynCall_ii:h3e,__GLOBAL__sub_I_Binding_cc:NOe,dynCall_viiii:R3e,dynCall_iiiiii:P3e,stackSave:gc,dynCall_viiiii:l3e,__GLOBAL__sub_I_nbind_cc:Lve,dynCall_vidd:d3e,_free:hD,runPostSets:a3e,dynCall_viiiiii:B3e,establishStackSpace:ji,_memmove:Lw,stackRestore:pu,_malloc:pD,__GLOBAL__sub_I_common_cc:tLe,dynCall_viddi:g3e,dynCall_dii:v3e,dynCall_v:k3e}}(Module.asmGlobalArg,Module.asmLibraryArg,buffer),_llvm_bswap_i32=Module._llvm_bswap_i32=asm._llvm_bswap_i32,getTempRet0=Module.getTempRet0=asm.getTempRet0,___udivdi3=Module.___udivdi3=asm.___udivdi3,setThrew=Module.setThrew=asm.setThrew,_bitshift64Lshr=Module._bitshift64Lshr=asm._bitshift64Lshr,_bitshift64Shl=Module._bitshift64Shl=asm._bitshift64Shl,_memset=Module._memset=asm._memset,_sbrk=Module._sbrk=asm._sbrk,_memcpy=Module._memcpy=asm._memcpy,stackAlloc=Module.stackAlloc=asm.stackAlloc,___uremdi3=Module.___uremdi3=asm.___uremdi3,_nbind_init=Module._nbind_init=asm._nbind_init,_i64Subtract=Module._i64Subtract=asm._i64Subtract,setTempRet0=Module.setTempRet0=asm.setTempRet0,_i64Add=Module._i64Add=asm._i64Add,_emscripten_get_global_libc=Module._emscripten_get_global_libc=asm._emscripten_get_global_libc,__GLOBAL__sub_I_Yoga_cpp=Module.__GLOBAL__sub_I_Yoga_cpp=asm.__GLOBAL__sub_I_Yoga_cpp,__GLOBAL__sub_I_Binding_cc=Module.__GLOBAL__sub_I_Binding_cc=asm.__GLOBAL__sub_I_Binding_cc,stackSave=Module.stackSave=asm.stackSave,__GLOBAL__sub_I_nbind_cc=Module.__GLOBAL__sub_I_nbind_cc=asm.__GLOBAL__sub_I_nbind_cc,_free=Module._free=asm._free,runPostSets=Module.runPostSets=asm.runPostSets,establishStackSpace=Module.establishStackSpace=asm.establishStackSpace,_memmove=Module._memmove=asm._memmove,stackRestore=Module.stackRestore=asm.stackRestore,_malloc=Module._malloc=asm._malloc,__GLOBAL__sub_I_common_cc=Module.__GLOBAL__sub_I_common_cc=asm.__GLOBAL__sub_I_common_cc,dynCall_viiiii=Module.dynCall_viiiii=asm.dynCall_viiiii,dynCall_vif=Module.dynCall_vif=asm.dynCall_vif,dynCall_vid=Module.dynCall_vid=asm.dynCall_vid,dynCall_fiff=Module.dynCall_fiff=asm.dynCall_fiff,dynCall_vi=Module.dynCall_vi=asm.dynCall_vi,dynCall_vii=Module.dynCall_vii=asm.dynCall_vii,dynCall_ii=Module.dynCall_ii=asm.dynCall_ii,dynCall_viddi=Module.dynCall_viddi=asm.dynCall_viddi,dynCall_vidd=Module.dynCall_vidd=asm.dynCall_vidd,dynCall_iiii=Module.dynCall_iiii=asm.dynCall_iiii,dynCall_diii=Module.dynCall_diii=asm.dynCall_diii,dynCall_di=Module.dynCall_di=asm.dynCall_di,dynCall_iid=Module.dynCall_iid=asm.dynCall_iid,dynCall_iii=Module.dynCall_iii=asm.dynCall_iii,dynCall_viiddi=Module.dynCall_viiddi=asm.dynCall_viiddi,dynCall_viiiiii=Module.dynCall_viiiiii=asm.dynCall_viiiiii,dynCall_dii=Module.dynCall_dii=asm.dynCall_dii,dynCall_i=Module.dynCall_i=asm.dynCall_i,dynCall_iiiiii=Module.dynCall_iiiiii=asm.dynCall_iiiiii,dynCall_viiid=Module.dynCall_viiid=asm.dynCall_viiid,dynCall_viififi=Module.dynCall_viififi=asm.dynCall_viififi,dynCall_viii=Module.dynCall_viii=asm.dynCall_viii,dynCall_v=Module.dynCall_v=asm.dynCall_v,dynCall_viid=Module.dynCall_viid=asm.dynCall_viid,dynCall_idd=Module.dynCall_idd=asm.dynCall_idd,dynCall_viiii=Module.dynCa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ExitStatus(t){this.name="ExitStatus",this.message="Program terminated with exit("+t+")",this.status=t}ExitStatus.prototype=new Error,ExitStatus.prototype.constructor=ExitStatus;var initialStackTop,preloadStartTime=null,calledMain=!1;dependenciesFulfilled=function t(){Module.calledRun||run(),Module.calledRun||(dependenciesFulfilled=t)},Module.callMain=Module.callMain=function t(e){e=e||[],ensureInitRuntime();var r=e.length+1;function o(){for(var p=0;p<4-1;p++)a.push(0)}var a=[allocate(intArrayFromString(Module.thisProgram),"i8",ALLOC_NORMAL)];o();for(var n=0;n0||(preRun(),runDependencies>0)||Module.calledRun)return;function e(){Module.calledRun||(Module.calledRun=!0,!ABORT&&(ensureInitRuntime(),preMain(),Module.onRuntimeInitialized&&Module.onRuntimeInitialized(),Module._main&&shouldRunNow&&Module.callMain(t),postRun()))}Module.setStatus?(Module.setStatus("Running..."),setTimeout(function(){setTimeout(function(){Module.setStatus("")},1),e()},1)):e()}Module.run=Module.run=run;function exit(t,e){e&&Module.noExitRuntime||(Module.noExitRuntime||(ABORT=!0,EXITSTATUS=t,STACKTOP=initialStackTop,exitRuntime(),Module.onExit&&Module.onExit(t)),ENVIRONMENT_IS_NODE&&process.exit(t),Module.quit(t,new ExitStatus(t)))}Module.exit=Module.exit=exit;var abortDecorators=[];function abort(t){Module.onAbort&&Module.onAbort(t),t!==void 0?(Module.print(t),Module.printErr(t),t=JSON.stringify(t)):t="",ABORT=!0,EXITSTATUS=1;var e=` -If this abort() is unexpected, build with -s ASSERTIONS=1 which can give more information.`,r="abort("+t+") at "+stackTrace()+e;throw abortDecorators&&abortDecorators.forEach(function(o){r=o(r,t)}),r}if(Module.abort=Module.abort=abort,Module.preInit)for(typeof Module.preInit=="function"&&(Module.preInit=[Module.preInit]);Module.preInit.length>0;)Module.preInit.pop()();var shouldRunNow=!0;Module.noInitialRun&&(shouldRunNow=!1),run()})});var sm=_((wKt,MEe)=>{"use strict";var Kyt=LEe(),Vyt=OEe(),Q6=!1,F6=null;Vyt({},function(t,e){if(!Q6){if(Q6=!0,t)throw t;F6=e}});if(!Q6)throw new Error("Failed to load the yoga module - it needed to be loaded synchronously, but didn't");MEe.exports=Kyt(F6.bind,F6.lib)});var T6=_((IKt,R6)=>{"use strict";var UEe=t=>Number.isNaN(t)?!1:t>=4352&&(t<=4447||t===9001||t===9002||11904<=t&&t<=12871&&t!==12351||12880<=t&&t<=19903||19968<=t&&t<=42182||43360<=t&&t<=43388||44032<=t&&t<=55203||63744<=t&&t<=64255||65040<=t&&t<=65049||65072<=t&&t<=65131||65281<=t&&t<=65376||65504<=t&&t<=65510||110592<=t&&t<=110593||127488<=t&&t<=127569||131072<=t&&t<=262141);R6.exports=UEe;R6.exports.default=UEe});var HEe=_((BKt,_Ee)=>{"use strict";_Ee.exports=function(){return/\uD83C\uDFF4\uDB40\uDC67\uDB40\uDC62(?:\uDB40\uDC65\uDB40\uDC6E\uDB40\uDC67|\uDB40\uDC73\uDB40\uDC63\uDB40\uDC74|\uDB40\uDC77\uDB40\uDC6C\uDB40\uDC73)\uDB40\uDC7F|\uD83D\uDC68(?:\uD83C\uDFFC\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68\uD83C\uDFFB|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFF\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB-\uDFFE])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFE\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB-\uDFFD])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFD\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB\uDFFC])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\u200D(?:\u2764\uFE0F\u200D(?:\uD83D\uDC8B\u200D)?\uD83D\uDC68|(?:\uD83D[\uDC68\uDC69])\u200D(?:\uD83D\uDC66\u200D\uD83D\uDC66|\uD83D\uDC67\u200D(?:\uD83D[\uDC66\uDC67]))|\uD83D\uDC66\u200D\uD83D\uDC66|\uD83D\uDC67\u200D(?:\uD83D[\uDC66\uDC67])|(?:\uD83D[\uDC68\uDC69])\u200D(?:\uD83D[\uDC66\uDC67])|[\u2695\u2696\u2708]\uFE0F|\uD83D[\uDC66\uDC67]|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|(?:\uD83C\uDFFB\u200D[\u2695\u2696\u2708]|\uD83C\uDFFF\u200D[\u2695\u2696\u2708]|\uD83C\uDFFE\u200D[\u2695\u2696\u2708]|\uD83C\uDFFD\u200D[\u2695\u2696\u2708]|\uD83C\uDFFC\u200D[\u2695\u2696\u2708])\uFE0F|\uD83C\uDFFB\u200D(?:\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C[\uDFFB-\uDFFF])|(?:\uD83E\uDDD1\uD83C\uDFFB\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83D\uDC69\uD83C\uDFFC\u200D\uD83E\uDD1D\u200D\uD83D\uDC69)\uD83C\uDFFB|\uD83E\uDDD1(?:\uD83C\uDFFF\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1(?:\uD83C[\uDFFB-\uDFFF])|\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1)|(?:\uD83E\uDDD1\uD83C\uDFFE\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83D\uDC69\uD83C\uDFFF\u200D\uD83E\uDD1D\u200D(?:\uD83D[\uDC68\uDC69]))(?:\uD83C[\uDFFB-\uDFFE])|(?:\uD83E\uDDD1\uD83C\uDFFC\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83D\uDC69\uD83C\uDFFD\u200D\uD83E\uDD1D\u200D\uD83D\uDC69)(?:\uD83C[\uDFFB\uDFFC])|\uD83D\uDC69(?:\uD83C\uDFFE\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB-\uDFFD\uDFFF])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFC\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB\uDFFD-\uDFFF])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFB\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFC-\uDFFF])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFD\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB\uDFFC\uDFFE\uDFFF])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\u200D(?:\u2764\uFE0F\u200D(?:\uD83D\uDC8B\u200D(?:\uD83D[\uDC68\uDC69])|\uD83D[\uDC68\uDC69])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFF\u200D(?:\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD]))|\uD83D\uDC69\u200D\uD83D\uDC69\u200D(?:\uD83D\uDC66\u200D\uD83D\uDC66|\uD83D\uDC67\u200D(?:\uD83D[\uDC66\uDC67]))|(?:\uD83E\uDDD1\uD83C\uDFFD\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83D\uDC69\uD83C\uDFFE\u200D\uD83E\uDD1D\u200D\uD83D\uDC69)(?:\uD83C[\uDFFB-\uDFFD])|\uD83D\uDC69\u200D\uD83D\uDC66\u200D\uD83D\uDC66|\uD83D\uDC69\u200D\uD83D\uDC69\u200D(?:\uD83D[\uDC66\uDC67])|(?:\uD83D\uDC41\uFE0F\u200D\uD83D\uDDE8|\uD83D\uDC69(?:\uD83C\uDFFF\u200D[\u2695\u2696\u2708]|\uD83C\uDFFE\u200D[\u2695\u2696\u2708]|\uD83C\uDFFC\u200D[\u2695\u2696\u2708]|\uD83C\uDFFB\u200D[\u2695\u2696\u2708]|\uD83C\uDFFD\u200D[\u2695\u2696\u2708]|\u200D[\u2695\u2696\u2708])|(?:(?:\u26F9|\uD83C[\uDFCB\uDFCC]|\uD83D\uDD75)\uFE0F|\uD83D\uDC6F|\uD83E[\uDD3C\uDDDE\uDDDF])\u200D[\u2640\u2642]|(?:\u26F9|\uD83C[\uDFCB\uDFCC]|\uD83D\uDD75)(?:\uD83C[\uDFFB-\uDFFF])\u200D[\u2640\u2642]|(?:\uD83C[\uDFC3\uDFC4\uDFCA]|\uD83D[\uDC6E\uDC71\uDC73\uDC77\uDC81\uDC82\uDC86\uDC87\uDE45-\uDE47\uDE4B\uDE4D\uDE4E\uDEA3\uDEB4-\uDEB6]|\uD83E[\uDD26\uDD37-\uDD39\uDD3D\uDD3E\uDDB8\uDDB9\uDDCD-\uDDCF\uDDD6-\uDDDD])(?:(?:\uD83C[\uDFFB-\uDFFF])\u200D[\u2640\u2642]|\u200D[\u2640\u2642])|\uD83C\uDFF4\u200D\u2620)\uFE0F|\uD83D\uDC69\u200D\uD83D\uDC67\u200D(?:\uD83D[\uDC66\uDC67])|\uD83C\uDFF3\uFE0F\u200D\uD83C\uDF08|\uD83D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","base64")).toString()),Gj)});var 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or not a function or valid array type: ${A}`,"ARG_CONFIG_VAD_TYPE");if(A[1]!=="-"&&A.length>2)throw new Oa(`short argument keys (with a single hyphen) must have only one character: ${A}`,"ARG_CONFIG_SHORTOPT_TOOLONG");u[A]=[p,h]}for(let A=0,p=e.length;A0){a._=a._.concat(e.slice(A));break}if(h==="--"){a._=a._.concat(e.slice(A+1));break}if(h.length>1&&h[0]==="-"){let C=h[1]==="-"||h.length===2?[h]:h.slice(1).split("").map(I=>`-${I}`);for(let I=0;I1&&e[A+1][0]==="-"&&!(e[A+1].match(/^-?\d*(\.(?=\d))?\d*$/)&&(L===Number||typeof BigInt<"u"&&L===BigInt))){let z=x===R?"":` (alias for ${R})`;throw new Oa(`option requires argument: ${x}${z}`,"ARG_MISSING_REQUIRED_LONGARG")}a[R]=L(e[A+1],R,a[R]),++A}else a[R]=L(E,R,a[R])}}else a._.push(h)}return a}iv.flag=t=>(t[$j]=!0,t);iv.COUNT=iv.flag((t,e,r)=>(r||0)+1);iv.ArgError=Oa;WIe.exports=iv});var t1e=_((KJt,e1e)=>{var iq;e1e.exports=()=>(typeof iq>"u"&&(iq=Be("zlib").brotliDecompressSync(Buffer.from("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Ke.find(this.context.cwd,this.context.plugins),o=()=>{if(!r.projectCwd)throw new it("This command must be run from within a project folder");return r.projectCwd},a=this.name.replace(/[.[].*$/,""),n=this.name.replace(/^[^.[]*\.?/,"");if(typeof r.settings.get(a)>"u")throw new it(`Couldn't find a configuration settings named "${a}"`);if(a==="enableStrictSettings")throw new it("This setting only affects the file it's in, and thus cannot be set from the CLI");let A=this.json?JSON.parse(this.value):this.value;await(this.home?E=>Ke.updateHomeConfiguration(E):E=>Ke.updateConfiguration(o(),E))(E=>{if(n){let R=(0,Nge.default)(E);return(0,Oge.default)(R,this.name,A),R}else return{...E,[a]:A}});let C=(await Ke.find(this.context.cwd,this.context.plugins)).getSpecial(a,{hideSecrets:!0,getNativePaths:!0}),I=je.convertMapsToIndexableObjects(C),v=n?(0,Lge.default)(I,n):I;return(await Nt.start({configuration:r,includeFooter:!1,stdout:this.context.stdout},async 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new Error("Assertion failed: Expected the package to list the peer dependency");let v=kr.satisfiesWithPrereleases(o.version,I.range)?u.Check:u.Cross;n.reportInfo(null,` ${v} ${W.prettyLocator(e.configuration,h)} (via ${W.prettyRange(e.configuration,I.range)})`)}}let p=Array.from(o.links.values(),h=>{let C=e.storedPackages.get(h.locatorHash);if(typeof C>"u")throw new Error("Assertion failed: Expected the package to be registered");let I=C.peerDependencies.get(o.requested.identHash);if(typeof I>"u")throw new Error("Assertion failed: Expected the ident to be registered");return I.range});if(p.length>1){let h=kr.simplifyRanges(p);n.reportSeparator(),h===null?(n.reportInfo(0,"Unfortunately, put together, we found no single range that can satisfy all those peer requirements."),n.reportInfo(0,`Your best option may be to try to upgrade some dependencies with ${de.pretty(e.configuration,"yarn up",de.Type.CODE)}, or silence the warning via ${de.pretty(e.configuration,"logFilters",de.Type.CODE)}.`)):n.reportInfo(0,`Put together, the final range we computed is ${de.pretty(e.configuration,h,de.Type.RANGE)}`)}}break;default:n.reportInfo(0,`The ${de.pretty(e.configuration,"yarn explain peer-requirements",de.Type.CODE)} command doesn't support this warning type yet.`);break}})).exitCode()}Ye();qt();Za();Ye();Ye();Pt();qt();var $ge=$e(Jn()),Uh=class extends ut{constructor(){super(...arguments);this.useYarnPath=ge.Boolean("--yarn-path",{description:"Set the yarnPath setting even if the version can be accessed by Corepack"});this.onlyIfNeeded=ge.Boolean("--only-if-needed",!1,{description:"Only lock the Yarn version if it isn't already locked"});this.version=ge.String()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins);if(this.onlyIfNeeded&&r.get("yarnPath")){let A=r.sources.get("yarnPath");if(!A)throw new Error("Assertion failed: Expected 'yarnPath' to have a source");let 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engine checking isn't a core feature anymore",error:!dk.default.VERCEL},{option:this.registry,message:"The --registry option is deprecated; prefer setting npmRegistryServer in your .yarnrc.yml file"},{option:this.preferOffline,message:"The --prefer-offline flag is deprecated; use the --cached flag with 'yarn add' instead",error:!dk.default.VERCEL},{option:this.production,message:"The --production option is deprecated on 'install'; use 'yarn workspaces focus' instead",error:!0},{option:this.nonInteractive,message:"The --non-interactive option is deprecated",error:!o},{option:this.frozenLockfile,message:"The --frozen-lockfile option is deprecated; use --immutable and/or --immutable-cache instead",callback:()=>this.immutable=this.frozenLockfile},{option:this.cacheFolder,message:"The cache-folder option has been deprecated; use rc settings instead",error:!dk.default.NETLIFY}]);if(a!==null)return a;let n=this.mode==="update-lockfile";if(n&&(this.immutable||this.immutableCache))throw new it(`${de.pretty(r,"--immutable",de.Type.CODE)} and ${de.pretty(r,"--immutable-cache",de.Type.CODE)} cannot be used with ${de.pretty(r,"--mode=update-lockfile",de.Type.CODE)}`);let u=(this.immutable??r.get("enableImmutableInstalls"))&&!n,A=this.immutableCache&&!n;if(r.projectCwd!==null){let E=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async R=>{let L=!1;await X0t(r,u)&&(R.reportInfo(48,"Automatically removed core plugins that are now builtins \u{1F44D}"),L=!0),await J0t(r,u)&&(R.reportInfo(48,"Automatically fixed merge conflicts \u{1F44D}"),L=!0),L&&R.reportSeparator()});if(E.hasErrors())return E.exitCode()}if(r.projectCwd!==null){let E=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async R=>{if(Ke.telemetry?.isNew)Ke.telemetry.commitTips(),R.reportInfo(65,"Yarn will periodically gather anonymous telemetry: https://yarnpkg.com/advanced/telemetry"),R.reportInfo(65,`Run ${de.pretty(r,"yarn config set --home enableTelemetry 0",de.Type.CODE)} to disable`),R.reportSeparator();else if(Ke.telemetry?.shouldShowTips){let L=await rn.get("https://repo.yarnpkg.com/tags",{configuration:r,jsonResponse:!0}).catch(()=>null);if(L!==null){let U=null;if(tn!==null){let te=U8.default.prerelease(tn)?"canary":"stable",le=L.latest[te];U8.default.gt(le,tn)&&(U=[te,le])}if(U)Ke.telemetry.commitTips(),R.reportInfo(88,`${de.applyStyle(r,`A new ${U[0]} version of Yarn is available:`,de.Style.BOLD)} ${W.prettyReference(r,U[1])}!`),R.reportInfo(88,`Upgrade now by running ${de.pretty(r,`yarn set version ${U[1]}`,de.Type.CODE)}`),R.reportSeparator();else{let z=Ke.telemetry.selectTip(L.tips);z&&(R.reportInfo(89,de.pretty(r,z.message,de.Type.MARKDOWN_INLINE)),z.url&&R.reportInfo(89,`Learn more at ${z.url}`),R.reportSeparator())}}}});if(E.hasErrors())return E.exitCode()}let{project:p,workspace:h}=await St.find(r,this.context.cwd),C=p.lockfileLastVersion;if(C!==null){let E=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async R=>{let L={};for(let U of V0t)U.selector(C)&&typeof r.sources.get(U.name)>"u"&&(r.use("",{[U.name]:U.value},p.cwd,{overwrite:!0}),L[U.name]=U.value);Object.keys(L).length>0&&(await Ke.updateConfiguration(p.cwd,L),R.reportInfo(87,"Migrated your project to the latest Yarn version \u{1F680}"),R.reportSeparator())});if(E.hasErrors())return E.exitCode()}let I=await Lr.find(r,{immutable:A,check:this.checkCache});if(!h)throw new rr(p.cwd,this.context.cwd);await p.restoreInstallState({restoreResolutions:!1});let v=r.get("enableHardenedMode");(this.refreshLockfile??v)&&(p.lockfileNeedsRefresh=!0);let x=this.checkResolutions??v;return await p.installWithNewReport({json:this.json,stdout:this.context.stdout},{cache:I,immutable:u,checkResolutions:x,mode:this.mode})}};jh.paths=[["install"],nt.Default],jh.usage=nt.Usage({description:"install the project dependencies",details:"\n This command sets up your project if needed. 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Yarn supports zero-installs, which means that as long as you store your cache and your .pnp.cjs file inside your repository, everything will work without requiring any install right after cloning your repository or switching branches.\n\n If the `--immutable` option is set (defaults to true on CI), Yarn will abort with an error exit code if the lockfile was to be modified (other paths can be added using the `immutablePatterns` configuration setting). For backward compatibility we offer an alias under the name of `--frozen-lockfile`, but it will be removed in a later release.\n\n If the `--immutable-cache` option is set, Yarn will abort with an error exit code if the cache folder was to be modified (either because files would be added, or because they'd be removed).\n\n If the `--refresh-lockfile` option is set, Yarn will keep the same resolution for the packages currently in the lockfile but will refresh their metadata. If used together with `--immutable`, it can validate that the lockfile information are consistent. This flag is enabled by default when Yarn detects it runs within a pull request context.\n\n If the `--check-cache` option is set, Yarn will always refetch the packages and will ensure that their checksum matches what's 1/ described in the lockfile 2/ inside the existing cache files (if present). This is recommended as part of your CI workflow if you're both following the Zero-Installs model and accepting PRs from third-parties, as they'd otherwise have the ability to alter the checked-in packages before submitting them.\n\n If the `--inline-builds` option is set, Yarn will verbosely print the output of the build steps of your dependencies (instead of writing them into individual files). This is likely useful mostly for debug purposes only when using Docker-like environments.\n\n If the `--mode=` option is set, Yarn will change which artifacts are generated. 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Can't link the project to itself`);if(!v)throw new rr(I.cwd,h);if(this.all){let x=!1;for(let E of I.workspaces)E.manifest.name&&(!E.manifest.private||this.private)&&(A.push(E),x=!0);if(!x)throw new it(`No workspace found to be linked in the target project: ${p}`)}else{if(!v.manifest.name)throw new it(`The target workspace at '${p}' doesn't have a name and thus cannot be linked`);if(v.manifest.private&&!this.private)throw new it(`The target workspace at '${p}' is marked private - use the --private flag to link it anyway`);A.push(v)}}for(let p of A){let h=W.stringifyIdent(p.anchoredLocator),C=this.relative?V.relative(o.cwd,p.cwd):p.cwd;u.manifest.resolutions.push({pattern:{descriptor:{fullName:h}},reference:`portal:${C}`})}return await o.installWithNewReport({stdout:this.context.stdout},{cache:n})}};qh.paths=[["link"]],qh.usage=nt.Usage({description:"connect the local project to another one",details:"\n This command will set a new `resolutions` field in the project-level manifest and point it to the workspace at the specified location (even if part of another project).\n ",examples:[["Register one or more remote workspaces for use in the current project","$0 link ~/ts-loader ~/jest"],["Register all workspaces from a remote project for use in the current project","$0 link ~/jest --all"]]});qt();var Gh=class extends ut{constructor(){super(...arguments);this.args=ge.Proxy()}async execute(){return this.cli.run(["exec","node",...this.args])}};Gh.paths=[["node"]],Gh.usage=nt.Usage({description:"run node with the hook already setup",details:` - This command simply runs Node. 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The resulting bundle will then be copied into the local project. - - By default, it also updates all contrib plugins to the same commit the bundle is built from. This behavior can be disabled by using the \`--skip-plugins\` flag. - `,examples:[["Build Yarn from master","$0 set version from sources"]]});async function m2(t,{configuration:e,context:r,target:o}){for(let[a,...n]of t){let u=n[n.length-1]==="|";if(u&&n.pop(),u)await Ur.pipevp(a,n,{cwd:o,stdin:r.stdin,stdout:r.stdout,stderr:r.stderr,strict:!0});else{r.stdout.write(`${de.pretty(e,` $ ${[a,...n].join(" ")}`,"grey")} -`);try{await Ur.execvp(a,n,{cwd:o,strict:!0})}catch(A){throw r.stdout.write(A.stdout||A.stack),A}}}}async function _8(t,{configuration:e,report:r,target:o}){let a=!1;if(!t.force&&oe.existsSync(V.join(o,".git"))){r.reportInfo(0,"Fetching the latest commits"),r.reportSeparator();try{await m2(tgt(t),{configuration:e,context:t.context,target:o}),a=!0}catch{r.reportSeparator(),r.reportWarning(0,"Repository update failed; we'll try to regenerate it")}}a||(r.reportInfo(0,"Cloning the remote repository"),r.reportSeparator(),await oe.removePromise(o),await oe.mkdirPromise(o,{recursive:!0}),await m2(egt(t,o),{configuration:e,context:t.context,target:o}))}async function ngt(t,e,{project:r,report:o,target:a}){let n=await Vd(r.configuration,e),u=new Set(Object.keys(n));for(let A of r.configuration.plugins.keys())!u.has(A)||await H8(A,t,{project:r,report:o,target:a})}Ye();Ye();Pt();qt();var ide=$e(Jn()),sde=Be("url"),ode=Be("vm");var Vh=class extends ut{constructor(){super(...arguments);this.name=ge.String();this.checksum=ge.Boolean("--checksum",!0,{description:"Whether to care if this plugin is modified"})}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,stdout:this.context.stdout},async a=>{let{project:n}=await St.find(r,this.context.cwd),u,A;if(this.name.match(/^\.{0,2}[\\/]/)||ue.isAbsolute(this.name)){let p=V.resolve(this.context.cwd,ue.toPortablePath(this.name));a.reportInfo(0,`Reading ${de.pretty(r,p,de.Type.PATH)}`),u=V.relative(n.cwd,p),A=await oe.readFilePromise(p)}else{let p;if(this.name.match(/^https?:/)){try{new sde.URL(this.name)}catch{throw new Jt(52,`Plugin specifier "${this.name}" is neither a plugin name nor a valid url`)}u=this.name,p=this.name}else{let h=W.parseLocator(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-"));if(h.reference!=="unknown"&&!ide.default.valid(h.reference))throw new Jt(0,"Official plugins only accept strict version references. Use an explicit URL if you wish to download them from another location.");let C=W.stringifyIdent(h),I=await Vd(r,tn);if(!Object.hasOwn(I,C)){let v=`Couldn't find a plugin named ${W.prettyIdent(r,h)} on the remote registry. -`;throw r.plugins.has(C)?v+=`A plugin named ${W.prettyIdent(r,h)} is already installed; possibly attempting to import a built-in plugin.`:v+=`Note that only the plugins referenced on our website (${de.pretty(r,"https://github.com/yarnpkg/berry/blob/master/plugins.yml",de.Type.URL)}) can be referenced by their name; any other plugin will have to be referenced through its public url (for example ${de.pretty(r,"https://github.com/yarnpkg/berry/raw/master/packages/plugin-typescript/bin/%40yarnpkg/plugin-typescript.js",de.Type.URL)}).`,new Jt(51,v)}u=C,p=I[C].url,h.reference!=="unknown"?p=p.replace(/\/master\//,`/${C}/${h.reference}/`):tn!==null&&(p=p.replace(/\/master\//,`/@yarnpkg/cli/${tn}/`))}a.reportInfo(0,`Downloading ${de.pretty(r,p,"green")}`),A=await rn.get(p,{configuration:r})}await j8(u,A,{checksum:this.checksum,project:n,report:a})})).exitCode()}};Vh.paths=[["plugin","import"]],Vh.usage=nt.Usage({category:"Plugin-related commands",description:"download a plugin",details:` - This command downloads the specified plugin from its remote location and updates the configuration to reference it in further CLI invocations. - - Three types of plugin references are accepted: - - - If the plugin is stored within the Yarn repository, it can be referenced by name. - - Third-party plugins can be referenced directly through their public urls. - - Local plugins can be referenced by their path on the disk. - - If the \`--no-checksum\` option is set, Yarn will no longer care if the plugin is modified. - - Plugins cannot be downloaded from the npm registry, and aren't allowed to have dependencies (they need to be bundled into a single file, possibly thanks to the \`@yarnpkg/builder\` package). - `,examples:[['Download and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import @yarnpkg/plugin-exec"],['Download and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import exec"],["Download and activate a community plugin","$0 plugin import https://example.org/path/to/plugin.js"],["Activate a local plugin","$0 plugin import ./path/to/plugin.js"]]});async function j8(t,e,{checksum:r=!0,project:o,report:a}){let{configuration:n}=o,u={},A={exports:u};(0,ode.runInNewContext)(e.toString(),{module:A,exports:u});let h=`.yarn/plugins/${A.exports.name}.cjs`,C=V.resolve(o.cwd,h);a.reportInfo(0,`Saving the new plugin in ${de.pretty(n,h,"magenta")}`),await oe.mkdirPromise(V.dirname(C),{recursive:!0}),await oe.writeFilePromise(C,e);let I={path:h,spec:t};r&&(I.checksum=wn.makeHash(e)),await Ke.addPlugin(o.cwd,[I])}var igt=({pluginName:t,noMinify:e},r)=>[["yarn",`build:${t}`,...e?["--no-minify"]:[],"|"]],zh=class extends ut{constructor(){super(...arguments);this.installPath=ge.String("--path",{description:"The path where the repository should be cloned to"});this.repository=ge.String("--repository","https://github.com/yarnpkg/berry.git",{description:"The repository that should be cloned"});this.branch=ge.String("--branch","master",{description:"The branch of the repository that should be cloned"});this.noMinify=ge.Boolean("--no-minify",!1,{description:"Build a plugin for development (debugging) - non-minified and non-mangled"});this.force=ge.Boolean("-f,--force",!1,{description:"Always clone the repository instead of trying to fetch the latest commits"});this.name=ge.String()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),o=typeof this.installPath<"u"?V.resolve(this.context.cwd,ue.toPortablePath(this.installPath)):V.resolve(ue.toPortablePath((0,ade.tmpdir)()),"yarnpkg-sources",wn.makeHash(this.repository).slice(0,6));return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{let{project:u}=await St.find(r,this.context.cwd),A=W.parseIdent(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-")),p=W.stringifyIdent(A),h=await Vd(r,tn);if(!Object.hasOwn(h,p))throw new Jt(51,`Couldn't find a plugin named "${p}" on the remote registry. Note that only the plugins referenced on our website (https://github.com/yarnpkg/berry/blob/master/plugins.yml) can be built and imported from sources.`);let C=p;await _8(this,{configuration:r,report:n,target:o}),await H8(C,this,{project:u,report:n,target:o})})).exitCode()}};zh.paths=[["plugin","import","from","sources"]],zh.usage=nt.Usage({category:"Plugin-related commands",description:"build a plugin from sources",details:` - This command clones the Yarn repository into a temporary folder, builds the specified contrib plugin and updates the configuration to reference it in further CLI invocations. - - The plugins can be referenced by their short name if sourced from the official Yarn repository. - `,examples:[['Build and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import from sources @yarnpkg/plugin-exec"],['Build and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import from sources exec"]]});async function H8(t,{context:e,noMinify:r},{project:o,report:a,target:n}){let u=t.replace(/@yarnpkg\//,""),{configuration:A}=o;a.reportSeparator(),a.reportInfo(0,`Building a fresh ${u}`),a.reportSeparator(),await m2(igt({pluginName:u,noMinify:r},n),{configuration:A,context:e,target:n}),a.reportSeparator();let p=V.resolve(n,`packages/${u}/bundles/${t}.js`),h=await oe.readFilePromise(p);await j8(t,h,{project:o,report:a})}Ye();Pt();qt();var Jh=class extends ut{constructor(){super(...arguments);this.name=ge.String()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd);return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{let u=this.name,A=W.parseIdent(u);if(!r.plugins.has(u))throw new it(`${W.prettyIdent(r,A)} isn't referenced by the current configuration`);let p=`.yarn/plugins/${u}.cjs`,h=V.resolve(o.cwd,p);oe.existsSync(h)&&(n.reportInfo(0,`Removing ${de.pretty(r,p,de.Type.PATH)}...`),await oe.removePromise(h)),n.reportInfo(0,"Updating the configuration..."),await Ke.updateConfiguration(o.cwd,{plugins:C=>{if(!Array.isArray(C))return C;let I=C.filter(v=>v.path!==p);return I.length===0?Ke.deleteProperty:I.length===C.length?C:I}})})).exitCode()}};Jh.paths=[["plugin","remove"]],Jh.usage=nt.Usage({category:"Plugin-related commands",description:"remove a plugin",details:` - This command deletes the specified plugin from the .yarn/plugins folder and removes it from the configuration. - - **Note:** The plugins have to be referenced by their name property, which can be obtained using the \`yarn plugin runtime\` command. Shorthands are not allowed. - `,examples:[["Remove a plugin imported from the Yarn repository","$0 plugin remove @yarnpkg/plugin-typescript"],["Remove a plugin imported from a local file","$0 plugin remove my-local-plugin"]]});Ye();qt();var Xh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async a=>{for(let n of r.plugins.keys()){let u=this.context.plugins.plugins.has(n),A=n;u&&(A+=" [builtin]"),a.reportJson({name:n,builtin:u}),a.reportInfo(null,`${A}`)}})).exitCode()}};Xh.paths=[["plugin","runtime"]],Xh.usage=nt.Usage({category:"Plugin-related commands",description:"list the active plugins",details:` - This command prints the currently active plugins. Will be displayed both builtin plugins and external plugins. - `,examples:[["List the currently active plugins","$0 plugin runtime"]]});Ye();Ye();qt();var Zh=class extends ut{constructor(){super(...arguments);this.idents=ge.Rest()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);let u=new Set;for(let A of this.idents)u.add(W.parseIdent(A).identHash);if(await o.restoreInstallState({restoreResolutions:!1}),await o.resolveEverything({cache:n,report:new Qi}),u.size>0)for(let A of o.storedPackages.values())u.has(A.identHash)&&(o.storedBuildState.delete(A.locatorHash),o.skippedBuilds.delete(A.locatorHash));else o.storedBuildState.clear(),o.skippedBuilds.clear();return await o.installWithNewReport({stdout:this.context.stdout,quiet:this.context.quiet},{cache:n})}};Zh.paths=[["rebuild"]],Zh.usage=nt.Usage({description:"rebuild the project's native packages",details:` - This command will automatically cause Yarn to forget about previous compilations of the given packages and to run them again. - - Note that while Yarn forgets the compilation, the previous artifacts aren't erased from the filesystem and may affect the next builds (in good or bad). To avoid this, you may remove the .yarn/unplugged folder, or any other relevant location where packages might have been stored (Yarn may offer a way to do that automatically in the future). - - By default all packages will be rebuilt, but you can filter the list by specifying the names of the packages you want to clear from memory. - `,examples:[["Rebuild all packages","$0 rebuild"],["Rebuild fsevents only","$0 rebuild fsevents"]]});Ye();Ye();Ye();qt();var q8=$e(Zo());Za();var $h=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Apply the operation to all workspaces from the current project"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Ks(pl)});this.patterns=ge.Rest()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=this.all?o.workspaces:[a],A=["dependencies","devDependencies","peerDependencies"],p=[],h=!1,C=[];for(let E of this.patterns){let R=!1,L=W.parseIdent(E);for(let U of u){let z=[...U.manifest.peerDependenciesMeta.keys()];for(let te of(0,q8.default)(z,E))U.manifest.peerDependenciesMeta.delete(te),h=!0,R=!0;for(let te of A){let le=U.manifest.getForScope(te),he=[...le.values()].map(Ae=>W.stringifyIdent(Ae));for(let Ae of(0,q8.default)(he,W.stringifyIdent(L))){let{identHash:ye}=W.parseIdent(Ae),ae=le.get(ye);if(typeof ae>"u")throw new Error("Assertion failed: Expected the descriptor to be registered");U.manifest[te].delete(ye),C.push([U,te,ae]),h=!0,R=!0}}}R||p.push(E)}let I=p.length>1?"Patterns":"Pattern",v=p.length>1?"don't":"doesn't",x=this.all?"any":"this";if(p.length>0)throw new it(`${I} ${de.prettyList(r,p,de.Type.CODE)} ${v} match any packages referenced by ${x} workspace`);return h?(await r.triggerMultipleHooks(E=>E.afterWorkspaceDependencyRemoval,C),await o.installWithNewReport({stdout:this.context.stdout},{cache:n,mode:this.mode})):0}};$h.paths=[["remove"]],$h.usage=nt.Usage({description:"remove dependencies from the project",details:` - This command will remove the packages matching the specified patterns from the current workspace. - - If the \`--mode=\` option is set, Yarn will change which artifacts are generated. The modes currently supported are: - - - \`skip-build\` will not run the build scripts at all. Note that this is different from setting \`enableScripts\` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run. - - - \`update-lockfile\` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost. - - This command accepts glob patterns as arguments (if valid Idents and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them. - `,examples:[["Remove a dependency from the current project","$0 remove lodash"],["Remove a dependency from all workspaces at once","$0 remove lodash --all"],["Remove all dependencies starting with `eslint-`","$0 remove 'eslint-*'"],["Remove all dependencies with the `@babel` scope","$0 remove '@babel/*'"],["Remove all dependencies matching `react-dom` or `react-helmet`","$0 remove 'react-{dom,helmet}'"]]});Ye();Ye();var lde=Be("util"),zd=class extends ut{async execute(){let e=await Ke.find(this.context.cwd,this.context.plugins),{project:r,workspace:o}=await St.find(e,this.context.cwd);if(!o)throw new rr(r.cwd,this.context.cwd);return(await Nt.start({configuration:e,stdout:this.context.stdout},async n=>{let u=o.manifest.scripts,A=je.sortMap(u.keys(),C=>C),p={breakLength:1/0,colors:e.get("enableColors"),maxArrayLength:2},h=A.reduce((C,I)=>Math.max(C,I.length),0);for(let[C,I]of u.entries())n.reportInfo(null,`${C.padEnd(h," ")} ${(0,lde.inspect)(I,p)}`)})).exitCode()}};zd.paths=[["run"]];Ye();Ye();qt();var e0=class extends ut{constructor(){super(...arguments);this.inspect=ge.String("--inspect",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.inspectBrk=ge.String("--inspect-brk",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.topLevel=ge.Boolean("-T,--top-level",!1,{description:"Check the root workspace for scripts and/or binaries instead of the current one"});this.binariesOnly=ge.Boolean("-B,--binaries-only",!1,{description:"Ignore any user defined scripts and only check for binaries"});this.require=ge.String("--require",{description:"Forwarded to the underlying Node process when executing a binary"});this.silent=ge.Boolean("--silent",{hidden:!0});this.scriptName=ge.String();this.args=ge.Proxy()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a,locator:n}=await St.find(r,this.context.cwd);await o.restoreInstallState();let u=this.topLevel?o.topLevelWorkspace.anchoredLocator:n;if(!this.binariesOnly&&await un.hasPackageScript(u,this.scriptName,{project:o}))return await un.executePackageScript(u,this.scriptName,this.args,{project:o,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr});let A=await un.getPackageAccessibleBinaries(u,{project:o});if(A.get(this.scriptName)){let h=[];return this.inspect&&(typeof this.inspect=="string"?h.push(`--inspect=${this.inspect}`):h.push("--inspect")),this.inspectBrk&&(typeof this.inspectBrk=="string"?h.push(`--inspect-brk=${this.inspectBrk}`):h.push("--inspect-brk")),this.require&&h.push(`--require=${this.require}`),await un.executePackageAccessibleBinary(u,this.scriptName,this.args,{cwd:this.context.cwd,project:o,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr,nodeArgs:h,packageAccessibleBinaries:A})}if(!this.topLevel&&!this.binariesOnly&&a&&this.scriptName.includes(":")){let C=(await Promise.all(o.workspaces.map(async I=>I.manifest.scripts.has(this.scriptName)?I:null))).filter(I=>I!==null);if(C.length===1)return await un.executeWorkspaceScript(C[0],this.scriptName,this.args,{stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr})}if(this.topLevel)throw this.scriptName==="node-gyp"?new it(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${W.prettyLocator(r,n)}). This typically happens because some package depends on "node-gyp" to build itself, but didn't list it in their dependencies. To fix that, please run "yarn add node-gyp" into your top-level workspace. You also can open an issue on the repository of the specified package to suggest them to use an optional peer dependency.`):new it(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${W.prettyLocator(r,n)}).`);{if(this.scriptName==="global")throw new it("The 'yarn global' commands have been removed in 2.x - consider using 'yarn dlx' or a third-party plugin instead");let h=[this.scriptName].concat(this.args);for(let[C,I]of cC)for(let v of I)if(h.length>=v.length&&JSON.stringify(h.slice(0,v.length))===JSON.stringify(v))throw new it(`Couldn't find a script named "${this.scriptName}", but a matching command can be found in the ${C} plugin. You can install it with "yarn plugin import ${C}".`);throw new it(`Couldn't find a script named "${this.scriptName}".`)}}};e0.paths=[["run"]],e0.usage=nt.Usage({description:"run a script defined in the package.json",details:` - This command will run a tool. The exact tool that will be executed will depend on the current state of your workspace: - - - If the \`scripts\` field from your local package.json contains a matching script name, its definition will get executed. - - - Otherwise, if one of the local workspace's dependencies exposes a binary with a matching name, this binary will get executed. - - - Otherwise, if the specified name contains a colon character and if one of the workspaces in the project contains exactly one script with a matching name, then this script will get executed. - - Whatever happens, the cwd of the spawned process will be the workspace that declares the script (which makes it possible to call commands cross-workspaces using the third syntax). - `,examples:[["Run the tests from the local workspace","$0 run test"],['Same thing, but without the "run" keyword',"$0 test"],["Inspect Webpack while running","$0 run --inspect-brk webpack"]]});Ye();Ye();qt();var t0=class extends ut{constructor(){super(...arguments);this.save=ge.Boolean("-s,--save",!1,{description:"Persist the resolution inside the top-level manifest"});this.descriptor=ge.String();this.resolution=ge.String()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(await o.restoreInstallState({restoreResolutions:!1}),!a)throw new rr(o.cwd,this.context.cwd);let u=W.parseDescriptor(this.descriptor,!0),A=W.makeDescriptor(u,this.resolution);return o.storedDescriptors.set(u.descriptorHash,u),o.storedDescriptors.set(A.descriptorHash,A),o.resolutionAliases.set(u.descriptorHash,A.descriptorHash),await o.installWithNewReport({stdout:this.context.stdout},{cache:n})}};t0.paths=[["set","resolution"]],t0.usage=nt.Usage({description:"enforce a package resolution",details:'\n This command updates the resolution table so that `descriptor` is resolved by `resolution`.\n\n Note that by default this command only affect the current resolution table - meaning that this "manual override" will disappear if you remove the lockfile, or if the package disappear from the table. If you wish to make the enforced resolution persist whatever happens, add the `-s,--save` flag which will also edit the `resolutions` field from your top-level manifest.\n\n Note that no attempt is made at validating that `resolution` is a valid resolution entry for `descriptor`.\n ',examples:[["Force all instances of lodash@npm:^1.2.3 to resolve to 1.5.0","$0 set resolution lodash@npm:^1.2.3 1.5.0"]]});Ye();Pt();qt();var cde=$e(Zo()),r0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Unlink all workspaces belonging to the target project from the current one"});this.leadingArguments=ge.Rest()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);let u=o.topLevelWorkspace,A=new Set;if(this.leadingArguments.length===0&&this.all)for(let{pattern:p,reference:h}of u.manifest.resolutions)h.startsWith("portal:")&&A.add(p.descriptor.fullName);if(this.leadingArguments.length>0)for(let p of this.leadingArguments){let h=V.resolve(this.context.cwd,ue.toPortablePath(p));if(je.isPathLike(p)){let C=await Ke.find(h,this.context.plugins,{useRc:!1,strict:!1}),{project:I,workspace:v}=await St.find(C,h);if(!v)throw new rr(I.cwd,h);if(this.all){for(let x of I.workspaces)x.manifest.name&&A.add(W.stringifyIdent(x.anchoredLocator));if(A.size===0)throw new it("No workspace found to be unlinked in the target project")}else{if(!v.manifest.name)throw new it("The target workspace doesn't have a name and thus cannot be unlinked");A.add(W.stringifyIdent(v.anchoredLocator))}}else{let C=[...u.manifest.resolutions.map(({pattern:I})=>I.descriptor.fullName)];for(let I of(0,cde.default)(C,p))A.add(I)}}return u.manifest.resolutions=u.manifest.resolutions.filter(({pattern:p})=>!A.has(p.descriptor.fullName)),await o.installWithNewReport({stdout:this.context.stdout,quiet:this.context.quiet},{cache:n})}};r0.paths=[["unlink"]],r0.usage=nt.Usage({description:"disconnect the local project from another one",details:` - This command will remove any resolutions in the project-level manifest that would have been added via a yarn link with similar arguments. - `,examples:[["Unregister a remote workspace in the current project","$0 unlink ~/ts-loader"],["Unregister all workspaces from a remote project in the current project","$0 unlink ~/jest --all"],["Unregister all previously linked workspaces","$0 unlink --all"],["Unregister all workspaces matching a glob","$0 unlink '@babel/*' 'pkg-{a,b}'"]]});Ye();Ye();Ye();qt();var ude=$e(u2()),G8=$e(Zo());Za();var Kf=class extends ut{constructor(){super(...arguments);this.interactive=ge.Boolean("-i,--interactive",{description:"Offer various choices, depending on the detected upgrade paths"});this.fixed=ge.Boolean("-F,--fixed",!1,{description:"Store dependency tags as-is instead of resolving them"});this.exact=ge.Boolean("-E,--exact",!1,{description:"Don't use any semver modifier on the resolved range"});this.tilde=ge.Boolean("-T,--tilde",!1,{description:"Use the `~` semver modifier on the resolved range"});this.caret=ge.Boolean("-C,--caret",!1,{description:"Use the `^` semver modifier on the resolved range"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Resolve again ALL resolutions for those packages"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Ks(pl)});this.patterns=ge.Rest()}async execute(){return this.recursive?await this.executeUpRecursive():await this.executeUpClassic()}async executeUpRecursive(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=[...o.storedDescriptors.values()],A=u.map(C=>W.stringifyIdent(C)),p=new Set;for(let C of this.patterns){if(W.parseDescriptor(C).range!=="unknown")throw new it("Ranges aren't allowed when using --recursive");for(let I of(0,G8.default)(A,C)){let v=W.parseIdent(I);p.add(v.identHash)}}let h=u.filter(C=>p.has(C.identHash));for(let C of h)o.storedDescriptors.delete(C.descriptorHash),o.storedResolutions.delete(C.descriptorHash);return await o.installWithNewReport({stdout:this.context.stdout},{cache:n,mode:this.mode})}async executeUpClassic(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=this.fixed,A=this.interactive??r.get("preferInteractive"),p=f2(this,o),h=A?["keep","reuse","project","latest"]:["project","latest"],C=[],I=[];for(let L of this.patterns){let U=!1,z=W.parseDescriptor(L),te=W.stringifyIdent(z);for(let le of o.workspaces)for(let he of["dependencies","devDependencies"]){let ye=[...le.manifest.getForScope(he).values()].map(Ie=>W.stringifyIdent(Ie)),ae=te==="*"?ye:(0,G8.default)(ye,te);for(let Ie of ae){let Fe=W.parseIdent(Ie),g=le.manifest[he].get(Fe.identHash);if(typeof g>"u")throw new Error("Assertion failed: Expected the descriptor to be registered");let Ee=W.makeDescriptor(Fe,z.range);C.push(Promise.resolve().then(async()=>[le,he,g,await p2(Ee,{project:o,workspace:le,cache:n,target:he,fixed:u,modifier:p,strategies:h})])),U=!0}}U||I.push(L)}if(I.length>1)throw new it(`Patterns ${de.prettyList(r,I,de.Type.CODE)} don't match any packages referenced by any workspace`);if(I.length>0)throw new it(`Pattern ${de.prettyList(r,I,de.Type.CODE)} doesn't match any packages referenced by any workspace`);let v=await Promise.all(C),x=await AA.start({configuration:r,stdout:this.context.stdout,suggestInstall:!1},async L=>{for(let[,,U,{suggestions:z,rejections:te}]of v){let le=z.filter(he=>he.descriptor!==null);if(le.length===0){let[he]=te;if(typeof he>"u")throw new Error("Assertion failed: Expected an error to have been set");let Ae=this.cli.error(he);o.configuration.get("enableNetwork")?L.reportError(27,`${W.prettyDescriptor(r,U)} can't be resolved to a satisfying range - 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`peerDependencies` won't be affected). This is a project-wide command: all workspaces will be upgraded in the process.\n\n If `-R,--recursive` is set the command will change behavior and no other switch will be allowed. When operating under this mode `yarn up` will force all ranges matching the selected packages to be resolved again (often to the highest available versions) before being stored in the lockfile. It however won't touch your manifests anymore, so depending on your needs you might want to run both `yarn up` and `yarn up -R` to cover all bases.\n\n If `-i,--interactive` is set (or if the `preferInteractive` settings is toggled on) the command will offer various choices, depending on the detected upgrade paths. 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sH>"u"&&(sH=Be("zlib").brotliDecompressSync(Buffer.from("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","base64")).toString()),sH}var Mde=new Map([[W.makeIdent(null,"fsevents").identHash,Nde],[W.makeIdent(null,"resolve").identHash,Lde],[W.makeIdent(null,"typescript").identHash,Ode]]),kgt={hooks:{registerPackageExtensions:async(t,e)=>{for(let[r,o]of rH)e(W.parseDescriptor(r,!0),o)},getBuiltinPatch:async(t,e)=>{let r="compat/";if(!e.startsWith(r))return;let o=W.parseIdent(e.slice(r.length)),a=Mde.get(o.identHash)?.();return typeof a<"u"?a:null},reduceDependency:async(t,e,r,o)=>typeof Mde.get(t.identHash)>"u"?t:W.makeDescriptor(t,W.makeRange({protocol:"patch:",source:W.stringifyDescriptor(t),selector:`optional!builtin`,params:null}))}},Qgt=kgt;var BH={};Vt(BH,{ConstraintsCheckCommand:()=>p0,ConstraintsQueryCommand:()=>A0,ConstraintsSourceCommand:()=>f0,default:()=>idt});Ye();Ye();I2();var CC=class{constructor(e){this.project=e}createEnvironment(){let e=new EC(["cwd","ident"]),r=new EC(["workspace","type","ident"]),o=new EC(["ident"]),a={manifestUpdates:new Map,reportedErrors:new Map},n=new Map,u=new Map;for(let A of this.project.storedPackages.values()){let p=Array.from(A.peerDependencies.values(),h=>[W.stringifyIdent(h),h.range]);n.set(A.locatorHash,{workspace:null,ident:W.stringifyIdent(A),version:A.version,dependencies:new Map,peerDependencies:new Map(p.filter(([h])=>A.peerDependenciesMeta.get(h)?.optional!==!0)),optionalPeerDependencies:new Map(p.filter(([h])=>A.peerDependenciesMeta.get(h)?.optional===!0))})}for(let A of this.project.storedPackages.values()){let p=n.get(A.locatorHash);p.dependencies=new Map(Array.from(A.dependencies.values(),h=>{let C=this.project.storedResolutions.get(h.descriptorHash);if(typeof C>"u")throw new Error("Assertion failed: The resolution should have been registered");let I=n.get(C);if(typeof I>"u")throw new Error("Assertion failed: The package should have been registered");return[W.stringifyIdent(h),I]})),p.dependencies.delete(p.ident)}for(let A of this.project.workspaces){let p=W.stringifyIdent(A.anchoredLocator),h=A.manifest.exportTo({}),C=n.get(A.anchoredLocator.locatorHash);if(typeof C>"u")throw new Error("Assertion failed: The package should have been registered");let I=(R,L,{caller:U=zi.getCaller()}={})=>{let z=w2(R),te=je.getMapWithDefault(a.manifestUpdates,A.cwd),le=je.getMapWithDefault(te,z),he=je.getSetWithDefault(le,L);U!==null&&he.add(U)},v=R=>I(R,void 0,{caller:zi.getCaller()}),x=R=>{je.getArrayWithDefault(a.reportedErrors,A.cwd).push(R)},E=e.insert({cwd:A.relativeCwd,ident:p,manifest:h,pkg:C,set:I,unset:v,error:x});u.set(A,E);for(let R of Ot.allDependencies)for(let L of A.manifest[R].values()){let U=W.stringifyIdent(L),z=()=>{I([R,U],void 0,{caller:zi.getCaller()})},te=he=>{I([R,U],he,{caller:zi.getCaller()})},le=null;if(R!=="peerDependencies"&&(R!=="dependencies"||!A.manifest.devDependencies.has(L.identHash))){let he=A.anchoredPackage.dependencies.get(L.identHash);if(he){if(typeof he>"u")throw new Error("Assertion failed: The dependency should have been registered");let Ae=this.project.storedResolutions.get(he.descriptorHash);if(typeof Ae>"u")throw new Error("Assertion failed: The resolution should have been registered");let ye=n.get(Ae);if(typeof ye>"u")throw new Error("Assertion failed: The package should have been registered");le=ye}}r.insert({workspace:E,ident:U,range:L.range,type:R,resolution:le,update:te,delete:z,error:x})}}for(let A of this.project.storedPackages.values()){let p=this.project.tryWorkspaceByLocator(A);if(!p)continue;let h=u.get(p);if(typeof h>"u")throw new Error("Assertion failed: The workspace should have been registered");let C=n.get(A.locatorHash);if(typeof C>"u")throw new Error("Assertion failed: The package should have been registered");C.workspace=h}return{workspaces:e,dependencies:r,packages:o,result:a}}async process(){let e=this.createEnvironment(),r={Yarn:{workspace:a=>e.workspaces.find(a)[0]??null,workspaces:a=>e.workspaces.find(a),dependency:a=>e.dependencies.find(a)[0]??null,dependencies:a=>e.dependencies.find(a),package:a=>e.packages.find(a)[0]??null,packages:a=>e.packages.find(a)}},o=await this.project.loadUserConfig();return o?.constraints?(await o.constraints(r),e.result):null}};Ye();Ye();qt();var A0=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.query=ge.String()}async execute(){let{Constraints:r}=await Promise.resolve().then(()=>(S2(),P2)),o=await Ke.find(this.context.cwd,this.context.plugins),{project:a}=await St.find(o,this.context.cwd),n=await r.find(a),u=this.query;return u.endsWith(".")||(u=`${u}.`),(await Nt.start({configuration:o,json:this.json,stdout:this.context.stdout},async p=>{for await(let h of n.query(u)){let C=Array.from(Object.entries(h)),I=C.length,v=C.reduce((x,[E])=>Math.max(x,E.length),0);for(let x=0;x(S2(),P2)),o=await Ke.find(this.context.cwd,this.context.plugins),{project:a}=await St.find(o,this.context.cwd),n=await r.find(a);this.context.stdout.write(this.verbose?n.fullSource:n.source)}};f0.paths=[["constraints","source"]],f0.usage=nt.Usage({category:"Constraints-related commands",description:"print the source code for the constraints",details:"\n This command will print the Prolog source code used by the constraints engine. Adding the `-v,--verbose` flag will print the *full* source code, including the fact database automatically compiled from the workspace manifests.\n ",examples:[["Prints the source code","yarn constraints source"],["Print the source code and the fact database","yarn constraints source -v"]]});Ye();Ye();qt();I2();var p0=class extends ut{constructor(){super(...arguments);this.fix=ge.Boolean("--fix",!1,{description:"Attempt to automatically fix unambiguous issues, following a multi-pass process"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd);await o.restoreInstallState();let a=await o.loadUserConfig(),n;if(a?.constraints)n=new CC(o);else{let{Constraints:h}=await Promise.resolve().then(()=>(S2(),P2));n=await h.find(o)}let u,A=!1,p=!1;for(let h=this.fix?10:1;h>0;--h){let C=await n.process();if(!C)break;let{changedWorkspaces:I,remainingErrors:v}=mk(o,C,{fix:this.fix}),x=[];for(let[E,R]of I){let L=E.manifest.indent;E.manifest=new Ot,E.manifest.indent=L,E.manifest.load(R),x.push(E.persistManifest())}if(await Promise.all(x),!(I.size>0&&h>1)){u=Yde(v,{configuration:r}),A=!1,p=!0;for(let[,E]of v)for(let R of E)R.fixable?A=!0:p=!1}}if(u.children.length===0)return 0;if(A){let h=p?`Those errors can all be fixed by running ${de.pretty(r,"yarn constraints --fix",de.Type.CODE)}`:`Errors prefixed by '\u2699' can be fixed by running ${de.pretty(r,"yarn constraints --fix",de.Type.CODE)}`;await Nt.start({configuration:r,stdout:this.context.stdout,includeNames:!1,includeFooter:!1},async C=>{C.reportInfo(0,h),C.reportSeparator()})}return u.children=je.sortMap(u.children,h=>h.value[1]),$s.emitTree(u,{configuration:r,stdout:this.context.stdout,json:this.json,separators:1}),1}};p0.paths=[["constraints"]],p0.usage=nt.Usage({category:"Constraints-related commands",description:"check that the project constraints are met",details:` - This command will run constraints on your project and emit errors for each one that is found but isn't met. If any error is emitted the process will exit with a non-zero exit code. - - If the \`--fix\` flag is used, Yarn will attempt to automatically fix the issues the best it can, following a multi-pass process (with a maximum of 10 iterations). 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- running an install might help`);return ue.toPortablePath(u.packageLocation)}async findPackageLocator(e,r){if(!this.isEnabled(r))return null;let o=P0(r.project).cjs;if(!oe.existsSync(o))return null;let n=je.getFactoryWithDefault(this.pnpCache,o,()=>je.dynamicRequire(o,{cachingStrategy:je.CachingStrategy.FsTime})).findPackageLocator(ue.fromPortablePath(e));return n?W.makeLocator(W.parseIdent(n.name),n.reference):null}makeInstaller(e){return new gm(e)}isEnabled(e){return!(e.project.configuration.get("nodeLinker")!=="pnp"||e.project.configuration.get("pnpMode")!==this.mode)}},gm=class{constructor(e){this.opts=e;this.mode="strict";this.asyncActions=new je.AsyncActions(10);this.packageRegistry=new Map;this.virtualTemplates=new Map;this.isESMLoaderRequired=!1;this.customData={store:new Map};this.unpluggedPaths=new Set;this.opts=e}attachCustomData(e){this.customData=e}async installPackage(e,r,o){let a=W.stringifyIdent(e),n=e.reference,u=!!this.opts.project.tryWorkspaceByLocator(e),A=W.isVirtualLocator(e),p=e.peerDependencies.size>0&&!A,h=!p&&!u,C=!p&&e.linkType!=="SOFT",I,v;if(h||C){let te=A?W.devirtualizeLocator(e):e;I=this.customData.store.get(te.locatorHash),typeof I>"u"&&(I=await KIt(r),e.linkType==="HARD"&&this.customData.store.set(te.locatorHash,I)),I.manifest.type==="module"&&(this.isESMLoaderRequired=!0),v=this.opts.project.getDependencyMeta(te,e.version)}let x=h?vQ(e,I,v,{configuration:this.opts.project.configuration}):null,E=C?await this.unplugPackageIfNeeded(e,I,r,v,o):r.packageFs;if(V.isAbsolute(r.prefixPath))throw new Error(`Assertion failed: Expected the prefix path (${r.prefixPath}) to be relative to the parent`);let R=V.resolve(E.getRealPath(),r.prefixPath),L=lq(this.opts.project.cwd,R),U=new Map,z=new Set;if(A){for(let te of e.peerDependencies.values())U.set(W.stringifyIdent(te),null),z.add(W.stringifyIdent(te));if(!u){let te=W.devirtualizeLocator(e);this.virtualTemplates.set(te.locatorHash,{location:lq(this.opts.project.cwd,mi.resolveVirtual(R)),locator:te})}}return je.getMapWithDefault(this.packageRegistry,a).set(n,{packageLocation:L,packageDependencies:U,packagePeers:z,linkType:e.linkType,discardFromLookup:r.discardFromLookup||!1}),{packageLocation:R,buildRequest:x}}async attachInternalDependencies(e,r){let o=this.getPackageInformation(e);for(let[a,n]of r){let u=W.areIdentsEqual(a,n)?n.reference:[W.stringifyIdent(n),n.reference];o.packageDependencies.set(W.stringifyIdent(a),u)}}async attachExternalDependents(e,r){for(let o of r)this.getDiskInformation(o).packageDependencies.set(W.stringifyIdent(e),e.reference)}async finalizeInstall(){if(this.opts.project.configuration.get("pnpMode")!==this.mode)return;let e=P0(this.opts.project);if(this.isEsmEnabled()||await oe.removePromise(e.esmLoader),this.opts.project.configuration.get("nodeLinker")!=="pnp"){await oe.removePromise(e.cjs),await oe.removePromise(e.data),await oe.removePromise(e.esmLoader),await oe.removePromise(this.opts.project.configuration.get("pnpUnpluggedFolder"));return}for(let{locator:C,location:I}of this.virtualTemplates.values())je.getMapWithDefault(this.packageRegistry,W.stringifyIdent(C)).set(C.reference,{packageLocation:I,packageDependencies:new Map,packagePeers:new Set,linkType:"SOFT",discardFromLookup:!1});this.packageRegistry.set(null,new Map([[null,this.getPackageInformation(this.opts.project.topLevelWorkspace.anchoredLocator)]]));let r=this.opts.project.configuration.get("pnpFallbackMode"),o=this.opts.project.workspaces.map(({anchoredLocator:C})=>({name:W.stringifyIdent(C),reference:C.reference})),a=r!=="none",n=[],u=new Map,A=je.buildIgnorePattern([".yarn/sdks/**",...this.opts.project.configuration.get("pnpIgnorePatterns")]),p=this.packageRegistry,h=this.opts.project.configuration.get("pnpShebang");if(r==="dependencies-only")for(let C of this.opts.project.storedPackages.values())this.opts.project.tryWorkspaceByLocator(C)&&n.push({name:W.stringifyIdent(C),reference:C.reference});return await this.asyncActions.wait(),await this.finalizeInstallWithPnp({dependencyTreeRoots:o,enableTopLevelFallback:a,fallbackExclusionList:n,fallbackPool:u,ignorePattern:A,packageRegistry:p,shebang:h}),{customData:this.customData}}async transformPnpSettings(e){}isEsmEnabled(){if(this.opts.project.configuration.sources.has("pnpEnableEsmLoader"))return this.opts.project.configuration.get("pnpEnableEsmLoader");if(this.isESMLoaderRequired)return!0;for(let e of this.opts.project.workspaces)if(e.manifest.type==="module")return!0;return!1}async finalizeInstallWithPnp(e){let r=P0(this.opts.project),o=await this.locateNodeModules(e.ignorePattern);if(o.length>0){this.opts.report.reportWarning(31,"One or more node_modules have been detected and will be removed. This operation may take some time.");for(let n of o)await oe.removePromise(n)}if(await this.transformPnpSettings(e),this.opts.project.configuration.get("pnpEnableInlining")){let n=xIe(e);await oe.changeFilePromise(r.cjs,n,{automaticNewlines:!0,mode:493}),await oe.removePromise(r.data)}else{let{dataFile:n,loaderFile:u}=kIe(e);await oe.changeFilePromise(r.cjs,u,{automaticNewlines:!0,mode:493}),await oe.changeFilePromise(r.data,n,{automaticNewlines:!0,mode:420})}this.isEsmEnabled()&&(this.opts.report.reportWarning(0,"ESM support for PnP uses the experimental loader API and is therefore experimental"),await oe.changeFilePromise(r.esmLoader,(0,sq.default)(),{automaticNewlines:!0,mode:420}));let a=this.opts.project.configuration.get("pnpUnpluggedFolder");if(this.unpluggedPaths.size===0)await oe.removePromise(a);else for(let n of await oe.readdirPromise(a)){let u=V.resolve(a,n);this.unpluggedPaths.has(u)||await oe.removePromise(u)}}async locateNodeModules(e){let r=[],o=e?new RegExp(e):null;for(let a of this.opts.project.workspaces){let n=V.join(a.cwd,"node_modules");if(o&&o.test(V.relative(this.opts.project.cwd,a.cwd))||!oe.existsSync(n))continue;let u=await oe.readdirPromise(n,{withFileTypes:!0}),A=u.filter(p=>!p.isDirectory()||p.name===".bin"||!p.name.startsWith("."));if(A.length===u.length)r.push(n);else for(let p of A)r.push(V.join(n,p.name))}return r}async unplugPackageIfNeeded(e,r,o,a,n){return this.shouldBeUnplugged(e,r,a)?this.unplugPackage(e,o,n):o.packageFs}shouldBeUnplugged(e,r,o){return typeof o.unplugged<"u"?o.unplugged:WIt.has(e.identHash)||e.conditions!=null?!0:r.manifest.preferUnplugged!==null?r.manifest.preferUnplugged:!!(vQ(e,r,o,{configuration:this.opts.project.configuration})?.skipped===!1||r.misc.extractHint)}async unplugPackage(e,r,o){let a=ov(e,{configuration:this.opts.project.configuration});return this.opts.project.disabledLocators.has(e.locatorHash)?new Uu(a,{baseFs:r.packageFs,pathUtils:V}):(this.unpluggedPaths.add(a),o.holdFetchResult(this.asyncActions.set(e.locatorHash,async()=>{let n=V.join(a,r.prefixPath,".ready");await oe.existsPromise(n)||(this.opts.project.storedBuildState.delete(e.locatorHash),await oe.mkdirPromise(a,{recursive:!0}),await oe.copyPromise(a,Bt.dot,{baseFs:r.packageFs,overwrite:!1}),await oe.writeFilePromise(n,""))})),new gn(a))}getPackageInformation(e){let r=W.stringifyIdent(e),o=e.reference,a=this.packageRegistry.get(r);if(!a)throw new Error(`Assertion failed: The package information store should have been available (for ${W.prettyIdent(this.opts.project.configuration,e)})`);let n=a.get(o);if(!n)throw new Error(`Assertion failed: The package information should have been available (for ${W.prettyLocator(this.opts.project.configuration,e)})`);return n}getDiskInformation(e){let r=je.getMapWithDefault(this.packageRegistry,"@@disk"),o=lq(this.opts.project.cwd,e);return je.getFactoryWithDefault(r,o,()=>({packageLocation:o,packageDependencies:new Map,packagePeers:new Set,linkType:"SOFT",discardFromLookup:!1}))}};function lq(t,e){let r=V.relative(t,e);return r.match(/^\.{0,2}\//)||(r=`./${r}`),r.replace(/\/?$/,"/")}async function KIt(t){let e=await Ot.tryFind(t.prefixPath,{baseFs:t.packageFs})??new Ot,r=new Set(["preinstall","install","postinstall"]);for(let o of e.scripts.keys())r.has(o)||e.scripts.delete(o);return{manifest:{scripts:e.scripts,preferUnplugged:e.preferUnplugged,type:e.type},misc:{extractHint:oq(t),hasBindingGyp:aq(t)}}}Ye();Ye();qt();var n1e=$e(Zo());var S0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Unplug direct dependencies from the entire project"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Unplug both direct and transitive dependencies"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.patterns=ge.Rest()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);if(r.get("nodeLinker")!=="pnp")throw new it("This command can only be used if the `nodeLinker` option is set to `pnp`");await o.restoreInstallState();let u=new Set(this.patterns),A=this.patterns.map(x=>{let E=W.parseDescriptor(x),R=E.range!=="unknown"?E:W.makeDescriptor(E,"*");if(!kr.validRange(R.range))throw new it(`The range of the descriptor patterns must be a valid semver range (${W.prettyDescriptor(r,R)})`);return L=>{let U=W.stringifyIdent(L);return!n1e.default.isMatch(U,W.stringifyIdent(R))||L.version&&!kr.satisfiesWithPrereleases(L.version,R.range)?!1:(u.delete(x),!0)}}),p=()=>{let x=[];for(let E of o.storedPackages.values())!o.tryWorkspaceByLocator(E)&&!W.isVirtualLocator(E)&&A.some(R=>R(E))&&x.push(E);return x},h=x=>{let E=new Set,R=[],L=(U,z)=>{if(E.has(U.locatorHash))return;let te=!!o.tryWorkspaceByLocator(U);if(!(z>0&&!this.recursive&&te)&&(E.add(U.locatorHash),!o.tryWorkspaceByLocator(U)&&A.some(le=>le(U))&&R.push(U),!(z>0&&!this.recursive)))for(let le of U.dependencies.values()){let he=o.storedResolutions.get(le.descriptorHash);if(!he)throw new Error("Assertion failed: The resolution should have been registered");let Ae=o.storedPackages.get(he);if(!Ae)throw new Error("Assertion failed: The package should have been registered");L(Ae,z+1)}};for(let U of x)L(U.anchoredPackage,0);return R},C,I;if(this.all&&this.recursive?(C=p(),I="the project"):this.all?(C=h(o.workspaces),I="any workspace"):(C=h([a]),I="this workspace"),u.size>1)throw new it(`Patterns ${de.prettyList(r,u,de.Type.CODE)} don't match any packages referenced by ${I}`);if(u.size>0)throw new it(`Pattern ${de.prettyList(r,u,de.Type.CODE)} doesn't match any packages referenced by ${I}`);C=je.sortMap(C,x=>W.stringifyLocator(x));let v=await Nt.start({configuration:r,stdout:this.context.stdout,json:this.json},async x=>{for(let E of C){let R=E.version??"unknown",L=o.topLevelWorkspace.manifest.ensureDependencyMeta(W.makeDescriptor(E,R));L.unplugged=!0,x.reportInfo(0,`Will unpack ${W.prettyLocator(r,E)} to ${de.pretty(r,ov(E,{configuration:r}),de.Type.PATH)}`),x.reportJson({locator:W.stringifyLocator(E),version:R})}await o.topLevelWorkspace.persistManifest(),this.json||x.reportSeparator()});return v.hasErrors()?v.exitCode():await o.installWithNewReport({json:this.json,stdout:this.context.stdout},{cache:n})}};S0.paths=[["unplug"]],S0.usage=nt.Usage({description:"force the unpacking of a list of packages",details:"\n This command will add the selectors matching the specified patterns to the list of packages that must be unplugged when installed.\n\n A package being unplugged means that instead of being referenced directly through its archive, it will be unpacked at install time in the directory configured via `pnpUnpluggedFolder`. Note that unpacking packages this way is generally not recommended because it'll make it harder to store your packages within the repository. However, it's a good approach to quickly and safely debug some packages, and can even sometimes be required depending on the context (for example when the package contains shellscripts).\n\n Running the command will set a persistent flag inside your top-level `package.json`, in the `dependenciesMeta` field. As such, to undo its effects, you'll need to revert the changes made to the manifest and run `yarn install` to apply the modification.\n\n By default, only direct dependencies from the current workspace are affected. If `-A,--all` is set, direct dependencies from the entire project are affected. Using the `-R,--recursive` flag will affect transitive dependencies as well as direct ones.\n\n This command accepts glob patterns inside the scope and name components (not the range). Make sure to escape the patterns to prevent your own shell from trying to expand them.\n ",examples:[["Unplug the lodash dependency from the active workspace","yarn unplug lodash"],["Unplug all instances of lodash referenced by any workspace","yarn unplug lodash -A"],["Unplug all instances of lodash referenced by the active workspace and its dependencies","yarn unplug lodash -R"],["Unplug all instances of lodash, anywhere","yarn unplug lodash -AR"],["Unplug one specific version of lodash","yarn unplug lodash@1.2.3"],["Unplug all packages with the `@babel` scope","yarn unplug '@babel/*'"],["Unplug all packages (only for testing, not recommended)","yarn unplug -R '*'"]]});var P0=t=>({cjs:V.join(t.cwd,dr.pnpCjs),data:V.join(t.cwd,dr.pnpData),esmLoader:V.join(t.cwd,dr.pnpEsmLoader)}),s1e=t=>/\s/.test(t)?JSON.stringify(t):t;async function VIt(t,e,r){let o=/\s*--require\s+\S*\.pnp\.c?js\s*/g,a=/\s*--experimental-loader\s+\S*\.pnp\.loader\.mjs\s*/,n=(e.NODE_OPTIONS??"").replace(o," ").replace(a," ").trim();if(t.configuration.get("nodeLinker")!=="pnp"){e.NODE_OPTIONS=n;return}let u=P0(t),A=`--require ${s1e(ue.fromPortablePath(u.cjs))}`;oe.existsSync(u.esmLoader)&&(A=`${A} --experimental-loader ${(0,i1e.pathToFileURL)(ue.fromPortablePath(u.esmLoader)).href}`),oe.existsSync(u.cjs)&&(e.NODE_OPTIONS=n?`${A} ${n}`:A)}async function zIt(t,e){let r=P0(t);e(r.cjs),e(r.data),e(r.esmLoader),e(t.configuration.get("pnpUnpluggedFolder"))}var JIt={hooks:{populateYarnPaths:zIt,setupScriptEnvironment:VIt},configuration:{nodeLinker:{description:'The linker used for installing Node packages, one of: "pnp", "pnpm", or "node-modules"',type:"STRING",default:"pnp"},winLinkType:{description:"Whether Yarn should use Windows Junctions or symlinks when creating links on Windows.",type:"STRING",values:["junctions","symlinks"],default:"junctions"},pnpMode:{description:"If 'strict', generates standard PnP maps. If 'loose', merges them with the n_m resolution.",type:"STRING",default:"strict"},pnpShebang:{description:"String to prepend to the generated PnP script",type:"STRING",default:"#!/usr/bin/env node"},pnpIgnorePatterns:{description:"Array of glob patterns; files matching them will use the classic resolution",type:"STRING",default:[],isArray:!0},pnpEnableEsmLoader:{description:"If true, Yarn will generate an ESM loader (`.pnp.loader.mjs`). If this is not explicitly set Yarn tries to automatically detect whether ESM support is required.",type:"BOOLEAN",default:!1},pnpEnableInlining:{description:"If true, the PnP data will be inlined along with the generated loader",type:"BOOLEAN",default:!0},pnpFallbackMode:{description:"If true, the generated PnP loader will follow the top-level fallback rule",type:"STRING",default:"dependencies-only"},pnpUnpluggedFolder:{description:"Folder where the unplugged packages must be stored",type:"ABSOLUTE_PATH",default:"./.yarn/unplugged"}},linkers:[D0],commands:[S0]},XIt=JIt;var p1e=$e(u1e());qt();var dq=$e(Be("crypto")),h1e=$e(Be("fs")),g1e=1,Pi="node_modules",DQ=".bin",d1e=".yarn-state.yml",h1t=1e3,mq=(o=>(o.CLASSIC="classic",o.HARDLINKS_LOCAL="hardlinks-local",o.HARDLINKS_GLOBAL="hardlinks-global",o))(mq||{}),lv=class{constructor(){this.installStateCache=new Map}getCustomDataKey(){return JSON.stringify({name:"NodeModulesLinker",version:3})}supportsPackage(e,r){return this.isEnabled(r)}async findPackageLocation(e,r){if(!this.isEnabled(r))throw new Error("Assertion failed: Expected the node-modules linker to be enabled");let o=r.project.tryWorkspaceByLocator(e);if(o)return o.cwd;let a=await je.getFactoryWithDefault(this.installStateCache,r.project.cwd,async()=>await gq(r.project,{unrollAliases:!0}));if(a===null)throw new it("Couldn't find the node_modules state file - running an install might help (findPackageLocation)");let n=a.locatorMap.get(W.stringifyLocator(e));if(!n){let p=new it(`Couldn't find ${W.prettyLocator(r.project.configuration,e)} in the currently installed node_modules map - running an install might help`);throw p.code="LOCATOR_NOT_INSTALLED",p}let u=n.locations.sort((p,h)=>p.split(V.sep).length-h.split(V.sep).length),A=V.join(r.project.configuration.startingCwd,Pi);return u.find(p=>V.contains(A,p))||n.locations[0]}async findPackageLocator(e,r){if(!this.isEnabled(r))return null;let o=await je.getFactoryWithDefault(this.installStateCache,r.project.cwd,async()=>await gq(r.project,{unrollAliases:!0}));if(o===null)return null;let{locationRoot:a,segments:n}=PQ(V.resolve(e),{skipPrefix:r.project.cwd}),u=o.locationTree.get(a);if(!u)return null;let A=u.locator;for(let p of n){if(u=u.children.get(p),!u)break;A=u.locator||A}return W.parseLocator(A)}makeInstaller(e){return new hq(e)}isEnabled(e){return e.project.configuration.get("nodeLinker")==="node-modules"}},hq=class{constructor(e){this.opts=e;this.localStore=new Map;this.realLocatorChecksums=new Map;this.customData={store:new Map}}attachCustomData(e){this.customData=e}async installPackage(e,r){let o=V.resolve(r.packageFs.getRealPath(),r.prefixPath),a=this.customData.store.get(e.locatorHash);if(typeof a>"u"&&(a=await g1t(e,r),e.linkType==="HARD"&&this.customData.store.set(e.locatorHash,a)),!W.isPackageCompatible(e,this.opts.project.configuration.getSupportedArchitectures()))return{packageLocation:null,buildRequest:null};let n=new Map,u=new Set;n.has(W.stringifyIdent(e))||n.set(W.stringifyIdent(e),e.reference);let A=e;if(W.isVirtualLocator(e)){A=W.devirtualizeLocator(e);for(let C of e.peerDependencies.values())n.set(W.stringifyIdent(C),null),u.add(W.stringifyIdent(C))}let p={packageLocation:`${ue.fromPortablePath(o)}/`,packageDependencies:n,packagePeers:u,linkType:e.linkType,discardFromLookup:r.discardFromLookup??!1};this.localStore.set(e.locatorHash,{pkg:e,customPackageData:a,dependencyMeta:this.opts.project.getDependencyMeta(e,e.version),pnpNode:p});let h=r.checksum?r.checksum.substring(r.checksum.indexOf("/")+1):null;return this.realLocatorChecksums.set(A.locatorHash,h),{packageLocation:o,buildRequest:null}}async attachInternalDependencies(e,r){let o=this.localStore.get(e.locatorHash);if(typeof o>"u")throw new Error("Assertion failed: Expected information object to have been registered");for(let[a,n]of r){let u=W.areIdentsEqual(a,n)?n.reference:[W.stringifyIdent(n),n.reference];o.pnpNode.packageDependencies.set(W.stringifyIdent(a),u)}}async attachExternalDependents(e,r){throw new Error("External dependencies haven't been implemented for the node-modules linker")}async finalizeInstall(){if(this.opts.project.configuration.get("nodeLinker")!=="node-modules")return;let e=new mi({baseFs:new zl({maxOpenFiles:80,readOnlyArchives:!0})}),r=await gq(this.opts.project),o=this.opts.project.configuration.get("nmMode");(r===null||o!==r.nmMode)&&(this.opts.project.storedBuildState.clear(),r={locatorMap:new Map,binSymlinks:new Map,locationTree:new Map,nmMode:o,mtimeMs:0});let a=new Map(this.opts.project.workspaces.map(v=>{let x=this.opts.project.configuration.get("nmHoistingLimits");try{x=je.validateEnum(VB,v.manifest.installConfig?.hoistingLimits??x)}catch{let R=W.prettyWorkspace(this.opts.project.configuration,v);this.opts.report.reportWarning(57,`${R}: Invalid 'installConfig.hoistingLimits' value. 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oe.removePromise(h),await oe.changeFilePromise(h,n,{automaticNewlines:!0})}async function gq(t,{unrollAliases:e=!1}={}){let r=t.cwd,o=V.join(r,Pi,d1e),a;try{a=await oe.statPromise(o)}catch{}if(!a)return null;let n=Ki(await oe.readFilePromise(o,"utf8"));if(n.__metadata.version>g1e)return null;let u=n.__metadata.nmMode||"classic",A=new Map,p=new Map;delete n.__metadata;for(let[h,C]of Object.entries(n)){let I=C.locations.map(x=>V.join(r,x)),v=C.bin;if(v)for(let[x,E]of Object.entries(v)){let R=V.join(r,ue.toPortablePath(x)),L=je.getMapWithDefault(p,R);for(let[U,z]of Object.entries(E))L.set(U,ue.toPortablePath([R,Pi,z].join(V.sep)))}if(A.set(h,{target:Bt.dot,linkType:"HARD",locations:I,aliases:C.aliases||[]}),e&&C.aliases)for(let x of C.aliases){let{scope:E,name:R}=W.parseLocator(h),L=W.makeLocator(W.makeIdent(E,R),x),U=W.stringifyLocator(L);A.set(U,{target:Bt.dot,linkType:"HARD",locations:I,aliases:[]})}}return{locatorMap:A,binSymlinks:p,locationTree:m1e(A,{skipPrefix:t.cwd}),nmMode:u,mtimeMs:a.mtimeMs}}var GC=async(t,e)=>{if(t.split(V.sep).indexOf(Pi)<0)throw new Error(`Assertion failed: trying to remove dir that doesn't contain node_modules: ${t}`);try{if(!e.innerLoop){let o=e.allowSymlink?await oe.statPromise(t):await oe.lstatPromise(t);if(e.allowSymlink&&!o.isDirectory()||!e.allowSymlink&&o.isSymbolicLink()){await oe.unlinkPromise(t);return}}let r=await oe.readdirPromise(t,{withFileTypes:!0});for(let o of r){let a=V.join(t,o.name);o.isDirectory()?(o.name!==Pi||e&&e.innerLoop)&&await GC(a,{innerLoop:!0,contentsOnly:!1}):await oe.unlinkPromise(a)}e.contentsOnly||await oe.rmdirPromise(t)}catch(r){if(r.code!=="ENOENT"&&r.code!=="ENOTEMPTY")throw r}},A1e=4,PQ=(t,{skipPrefix:e})=>{let r=V.contains(e,t);if(r===null)throw new Error(`Assertion failed: Writing attempt prevented to ${t} which is outside project root: ${e}`);let o=r.split(V.sep).filter(p=>p!==""),a=o.indexOf(Pi),n=o.slice(0,a).join(V.sep),u=V.join(e,n),A=o.slice(a);return{locationRoot:u,segments:A}},m1e=(t,{skipPrefix:e})=>{let r=new Map;if(t===null)return r;let o=()=>({children:new Map,linkType:"HARD"});for(let[a,n]of t.entries()){if(n.linkType==="SOFT"&&V.contains(e,n.target)!==null){let A=je.getFactoryWithDefault(r,n.target,o);A.locator=a,A.linkType=n.linkType}for(let u of n.locations){let{locationRoot:A,segments:p}=PQ(u,{skipPrefix:e}),h=je.getFactoryWithDefault(r,A,o);for(let C=0;C{if(process.platform==="win32"&&r==="junctions"){let o;try{o=await oe.lstatPromise(t)}catch{}if(!o||o.isDirectory()){await oe.symlinkPromise(t,e,"junction");return}}await oe.symlinkPromise(V.relative(V.dirname(e),t),e)};async function y1e(t,e,r){let o=V.join(t,`${dq.default.randomBytes(16).toString("hex")}.tmp`);try{await 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if(E.isSymbolicLink())L={kind:"symlink",symlinkTo:await r.readlinkPromise(U)};else throw new Error(`Unsupported file type (file: ${U}, mode: 0o${await r.statSync(U).mode.toString(8).padStart(6,"0")})`);if(x.set(R,L),E.isDirectory()&&R!==Pi){let z=await A(R);for(let[te,le]of z)x.set(te,le)}}return x},p;if(a.value==="hardlinks-global"&&o&&u){let C=V.join(o,u.substring(0,2),`${u.substring(2)}.json`);try{p=new Map(Object.entries(JSON.parse(await oe.readFilePromise(C,"utf8"))))}catch{p=await A()}}else p=await A();let h=!1;for(let[C,I]of p){let v=V.join(e,C),x=V.join(t,C);if(I.kind==="directory")await oe.mkdirPromise(x,{recursive:!0});else if(I.kind==="file"){let E=I.mtimeMs;await m1t({srcPath:v,dstPath:x,entry:I,nmMode:a,baseFs:r,globalHardlinksStore:o}),I.mtimeMs!==E&&(h=!0)}else I.kind==="symlink"&&await yq(V.resolve(V.dirname(x),I.symlinkTo),x,n)}if(a.value==="hardlinks-global"&&o&&h&&u){let C=V.join(o,u.substring(0,2),`${u.substring(2)}.json`);await oe.removePromise(C),await y1e(o,C,Buffer.from(JSON.stringify(Object.fromEntries(p))))}};function E1t(t,e,r,o){let a=new Map,n=new Map,u=new Map,A=!1,p=(h,C,I,v,x)=>{let E=!0,R=V.join(h,C),L=new Set;if(C===Pi||C.startsWith("@")){let z;try{z=oe.statSync(R)}catch{}E=!!z,z?z.mtimeMs>r?(A=!0,L=new Set(oe.readdirSync(R))):L=new Set(I.children.get(C).children.keys()):A=!0;let te=e.get(h);if(te){let le=V.join(h,Pi,DQ),he;try{he=oe.statSync(le)}catch{}if(!he)A=!0;else if(he.mtimeMs>r){A=!0;let Ae=new Set(oe.readdirSync(le)),ye=new Map;n.set(h,ye);for(let[ae,Ie]of te)Ae.has(ae)&&ye.set(ae,Ie)}else n.set(h,te)}}else E=x.has(C);let U=I.children.get(C);if(E){let{linkType:z,locator:te}=U,le={children:new Map,linkType:z,locator:te};if(v.children.set(C,le),te){let he=je.getSetWithDefault(u,te);he.add(R),u.set(te,he)}for(let he of U.children.keys())p(R,he,U,le,L)}else U.locator&&o.storedBuildState.delete(W.parseLocator(U.locator).locatorHash)};for(let[h,C]of t){let{linkType:I,locator:v}=C,x={children:new 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h=u(A,A,p);h.size>0&&n.set(A,new Map([...n.get(A)||new Map,...h]))}return n}var f1e=(t,e)=>{if(!t||!e)return t===e;let r=W.parseLocator(t);W.isVirtualLocator(r)&&(r=W.devirtualizeLocator(r));let o=W.parseLocator(e);return W.isVirtualLocator(o)&&(o=W.devirtualizeLocator(o)),W.areLocatorsEqual(r,o)};function Eq(t){return V.join(t.get("globalFolder"),"store")}async function w1t(t,e,{baseFs:r,project:o,report:a,loadManifest:n,realLocatorChecksums:u}){let A=V.join(o.cwd,Pi),{locationTree:p,binSymlinks:h,locatorLocations:C,installChangedByUser:I}=E1t(t.locationTree,t.binSymlinks,t.mtimeMs,o),v=m1e(e,{skipPrefix:o.cwd}),x=[],E=async({srcDir:Ie,dstDir:Fe,linkType:g,globalHardlinksStore:Ee,nmMode:De,windowsLinkType:ce,packageChecksum:ne})=>{let ee=(async()=>{try{g==="SOFT"?(await oe.mkdirPromise(V.dirname(Fe),{recursive:!0}),await yq(V.resolve(Ie),Fe,ce)):await y1t(Fe,Ie,{baseFs:r,globalHardlinksStore:Ee,nmMode:De,windowsLinkType:ce,packageChecksum:ne})}catch(we){throw we.message=`While 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U0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Audit dependencies from all workspaces"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Audit transitive dependencies as well"});this.environment=ge.String("--environment","all",{description:"Which environments to cover",validator:Ks(Qv)});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.noDeprecations=ge.Boolean("--no-deprecations",!1,{description:"Don't warn about deprecated packages"});this.severity=ge.String("--severity","info",{description:"Minimal severity requested for packages to be displayed",validator:Ks(Fv)});this.excludes=ge.Array("--exclude",[],{description:"Array of glob patterns of packages to exclude from audit"});this.ignores=ge.Array("--ignore",[],{description:"Array of glob patterns of advisory ID's to ignore in the audit report"})}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState();let n=BG(o,a,{all:this.all,environment:this.environment}),u=vG(o,n,{recursive:this.recursive}),A=Array.from(new Set([...r.get("npmAuditExcludePackages"),...this.excludes])),p=Object.create(null);for(let[L,U]of u)A.some(z=>DG.default.isMatch(L,z))||(p[L]=[...U.keys()]);let h=Zn.getAuditRegistry({configuration:r}),C,I=await AA.start({configuration:r,stdout:this.context.stdout},async()=>{let L=on.post("/-/npm/v1/security/advisories/bulk",p,{authType:on.AuthType.BEST_EFFORT,configuration:r,jsonResponse:!0,registry:h}),U=this.noDeprecations?[]:await Promise.all(Array.from(Object.entries(p),async([te,le])=>{let he=await on.getPackageMetadata(W.parseIdent(te),{project:o});return je.mapAndFilter(le,Ae=>{let{deprecated:ye}=he.versions[Ae];return ye?[te,Ae,ye]:je.mapAndFilter.skip})})),z=await L;for(let[te,le,he]of U.flat(1))Object.hasOwn(z,te)&&z[te].some(Ae=>kr.satisfiesWithPrereleases(le,Ae.vulnerable_versions))||(z[te]??=[],z[te].push({id:`${te} (deprecation)`,title:he.trim()||"This package has been deprecated.",severity:"moderate",vulnerable_versions:le}));C=z});if(I.hasErrors())return I.exitCode();let v=wG(this.severity),x=Array.from(new Set([...r.get("npmAuditIgnoreAdvisories"),...this.ignores])),E=Object.create(null);for(let[L,U]of Object.entries(C)){let z=U.filter(te=>!DG.default.isMatch(`${te.id}`,x)&&v.has(te.severity));z.length>0&&(E[L]=z.map(te=>{let le=u.get(L);if(typeof le>"u")throw new Error("Assertion failed: Expected the registry to only return packages that were requested");let he=[...le.keys()].filter(ye=>kr.satisfiesWithPrereleases(ye,te.vulnerable_versions)),Ae=new Map;for(let ye of he)for(let ae of le.get(ye))Ae.set(ae.locatorHash,ae);return{...te,versions:he,dependents:[...Ae.values()]}}))}let R=Object.keys(E).length>0;return R?($s.emitTree(IG(E),{configuration:r,json:this.json,stdout:this.context.stdout,separators:2}),1):(await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async L=>{L.reportInfo(1,"No audit suggestions")}),R?1:0)}};U0.paths=[["npm","audit"]],U0.usage=nt.Usage({description:"perform a vulnerability audit against the installed packages",details:` - This command checks for known security reports on the packages you use. The reports are by default extracted from the npm registry, and may or may not be relevant to your actual program (not all vulnerabilities affect all code paths). - - For consistency with our other commands the default is to only check the direct dependencies for the active workspace. To extend this search to all workspaces, use \`-A,--all\`. To extend this search to both direct and transitive dependencies, use \`-R,--recursive\`. - - Applying the \`--severity\` flag will limit the audit table to vulnerabilities of the corresponding severity and above. Valid values are ${sw.map(r=>`\`${r}\``).join(", ")}. - - If the \`--json\` flag is set, Yarn will print the output exactly as received from the registry. Regardless of this flag, the process will exit with a non-zero exit code if a report is found for the selected packages. - - If certain packages produce false positives for a particular environment, the \`--exclude\` flag can be used to exclude any number of packages from the audit. This can also be set in the configuration file with the \`npmAuditExcludePackages\` option. - - If particular advisories are needed to be ignored, the \`--ignore\` flag can be used with Advisory ID's to ignore any number of advisories in the audit report. This can also be set in the configuration file with the \`npmAuditIgnoreAdvisories\` option. - - To understand the dependency tree requiring vulnerable packages, check the raw report with the \`--json\` flag or use \`yarn why package\` to get more information as to who depends on them. - `,examples:[["Checks for known security issues with the installed packages. The output is a list of known issues.","yarn npm audit"],["Audit dependencies in all workspaces","yarn npm audit --all"],["Limit auditing to `dependencies` (excludes `devDependencies`)","yarn npm audit --environment production"],["Show audit report as valid JSON","yarn npm audit --json"],["Audit all direct and transitive dependencies","yarn npm audit --recursive"],["Output moderate (or more severe) vulnerabilities","yarn npm audit --severity moderate"],["Exclude certain packages","yarn npm audit --exclude package1 --exclude package2"],["Ignore specific advisories","yarn npm audit --ignore 1234567 --ignore 7654321"]]});Ye();Ye();Pt();qt();var PG=$e(Jn()),SG=Be("util"),_0=class extends ut{constructor(){super(...arguments);this.fields=ge.String("-f,--fields",{description:"A comma-separated list of manifest fields that should be displayed"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.packages=ge.Rest()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd),a=typeof this.fields<"u"?new Set(["name",...this.fields.split(/\s*,\s*/)]):null,n=[],u=!1,A=await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async p=>{for(let h of this.packages){let C;if(h==="."){let le=o.topLevelWorkspace;if(!le.manifest.name)throw new it(`Missing ${de.pretty(r,"name",de.Type.CODE)} field in ${ue.fromPortablePath(V.join(le.cwd,dr.manifest))}`);C=W.makeDescriptor(le.manifest.name,"unknown")}else C=W.parseDescriptor(h);let I=on.getIdentUrl(C),v=bG(await on.get(I,{configuration:r,ident:C,jsonResponse:!0,customErrorMessage:on.customPackageError})),x=Object.keys(v.versions).sort(PG.default.compareLoose),R=v["dist-tags"].latest||x[x.length-1],L=kr.validRange(C.range);if(L){let le=PG.default.maxSatisfying(x,L);le!==null?R=le:(p.reportWarning(0,`Unmet range ${W.prettyRange(r,C.range)}; falling back to the latest version`),u=!0)}else Object.hasOwn(v["dist-tags"],C.range)?R=v["dist-tags"][C.range]:C.range!=="unknown"&&(p.reportWarning(0,`Unknown tag ${W.prettyRange(r,C.range)}; falling back to the latest version`),u=!0);let U=v.versions[R],z={...v,...U,version:R,versions:x},te;if(a!==null){te={};for(let le of a){let he=z[le];if(typeof he<"u")te[le]=he;else{p.reportWarning(1,`The ${de.pretty(r,le,de.Type.CODE)} field doesn't exist inside ${W.prettyIdent(r,C)}'s information`),u=!0;continue}}}else this.json||(delete z.dist,delete z.readme,delete z.users),te=z;p.reportJson(te),this.json||n.push(te)}});SG.inspect.styles.name="cyan";for(let p of n)(p!==n[0]||u)&&this.context.stdout.write(` -`),this.context.stdout.write(`${(0,SG.inspect)(p,{depth:1/0,colors:!0,compact:!1})} -`);return A.exitCode()}};_0.paths=[["npm","info"]],_0.usage=nt.Usage({category:"Npm-related commands",description:"show information about a package",details:"\n This command fetches information about a package from the npm registry and prints it in a tree format.\n\n The package does not have to be installed locally, but needs to have been published (in particular, local changes will be ignored even for workspaces).\n\n Append `@` to the package argument to provide information specific to the latest version that satisfies the range or to the corresponding tagged version. If the range is invalid or if there is no version satisfying the range, the command will print a warning and fall back to the latest version.\n\n If the `-f,--fields` option is set, it's a comma-separated list of fields which will be used to only display part of the package information.\n\n By default, this command won't return the `dist`, `readme`, and `users` fields, since they are often very long. To explicitly request those fields, explicitly list them with the `--fields` flag or request the output in JSON mode.\n ",examples:[["Show all available information about react (except the `dist`, `readme`, and `users` fields)","yarn npm info react"],["Show all available information about react as valid JSON (including the `dist`, `readme`, and `users` fields)","yarn npm info react --json"],["Show all available information about react@16.12.0","yarn npm info react@16.12.0"],["Show all available information about react@next","yarn npm info react@next"],["Show the description of react","yarn npm info react --fields description"],["Show all available versions of react","yarn npm info react --fields versions"],["Show the readme of react","yarn npm info react --fields readme"],["Show a few fields of react","yarn npm info react --fields homepage,repository"]]});function bG(t){if(Array.isArray(t)){let e=[];for(let r of t)r=bG(r),r&&e.push(r);return e}else if(typeof t=="object"&&t!==null){let e={};for(let r of Object.keys(t)){if(r.startsWith("_"))continue;let o=bG(t[r]);o&&(e[r]=o)}return e}else return t||null}Ye();Ye();qt();var DBe=$e(u2()),H0=class extends ut{constructor(){super(...arguments);this.scope=ge.String("-s,--scope",{description:"Login to the registry configured for a given scope"});this.publish=ge.Boolean("--publish",!1,{description:"Login to the publish registry"});this.alwaysAuth=ge.Boolean("--always-auth",{description:"Set the npmAlwaysAuth configuration"})}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),o=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish,scope:this.scope});return(await Nt.start({configuration:r,stdout:this.context.stdout,includeFooter:!1},async n=>{let u=await Mvt({configuration:r,registry:o,report:n,stdin:this.context.stdin,stdout:this.context.stdout}),A=`/-/user/org.couchdb.user:${encodeURIComponent(u.name)}`,p=await on.put(A,u,{attemptedAs:u.name,configuration:r,registry:o,jsonResponse:!0,authType:on.AuthType.NO_AUTH});return await Ovt(o,p.token,{alwaysAuth:this.alwaysAuth,scope:this.scope}),n.reportInfo(0,"Successfully logged in")})).exitCode()}};H0.paths=[["npm","login"]],H0.usage=nt.Usage({category:"Npm-related commands",description:"store new login info to access the npm registry",details:"\n This command will ask you for your username, password, and 2FA One-Time-Password (when it applies). It will then modify your local configuration (in your home folder, never in the project itself) to reference the new tokens thus generated.\n\n Adding the `-s,--scope` flag will cause the authentication to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n Adding the `--publish` flag will cause the authentication to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n ",examples:[["Login to the default registry","yarn npm login"],["Login to the registry linked to the @my-scope registry","yarn npm login --scope my-scope"],["Login to the publish registry for the current package","yarn npm login --publish"]]});async function tF({scope:t,publish:e,configuration:r,cwd:o}){return t&&e?Zn.getScopeRegistry(t,{configuration:r,type:Zn.RegistryType.PUBLISH_REGISTRY}):t?Zn.getScopeRegistry(t,{configuration:r}):e?Zn.getPublishRegistry((await uC(r,o)).manifest,{configuration:r}):Zn.getDefaultRegistry({configuration:r})}async function Ovt(t,e,{alwaysAuth:r,scope:o}){let a=u=>A=>{let p=je.isIndexableObject(A)?A:{},h=p[u],C=je.isIndexableObject(h)?h:{};return{...p,[u]:{...C,...r!==void 0?{npmAlwaysAuth:r}:{},npmAuthToken:e}}},n=o?{npmScopes:a(o)}:{npmRegistries:a(t)};return await Ke.updateHomeConfiguration(n)}async function Mvt({configuration:t,registry:e,report:r,stdin:o,stdout:a}){r.reportInfo(0,`Logging in to ${de.pretty(t,e,de.Type.URL)}`);let n=!1;if(e.match(/^https:\/\/npm\.pkg\.github\.com(\/|$)/)&&(r.reportInfo(0,"You seem to be using the GitHub Package Registry. Tokens must be generated with the 'repo', 'write:packages', and 'read:packages' permissions."),n=!0),r.reportSeparator(),t.env.YARN_IS_TEST_ENV)return{name:t.env.YARN_INJECT_NPM_USER||"",password:t.env.YARN_INJECT_NPM_PASSWORD||""};let{username:u,password:A}=await(0,DBe.prompt)([{type:"input",name:"username",message:"Username:",required:!0,onCancel:()=>process.exit(130),stdin:o,stdout:a},{type:"password",name:"password",message:n?"Token:":"Password:",required:!0,onCancel:()=>process.exit(130),stdin:o,stdout:a}]);return r.reportSeparator(),{name:u,password:A}}Ye();Ye();qt();var ow=new Set(["npmAuthIdent","npmAuthToken"]),j0=class extends ut{constructor(){super(...arguments);this.scope=ge.String("-s,--scope",{description:"Logout of the registry configured for a given scope"});this.publish=ge.Boolean("--publish",!1,{description:"Logout of the publish registry"});this.all=ge.Boolean("-A,--all",!1,{description:"Logout of all registries"})}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),o=async()=>{let n=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish,scope:this.scope}),u=await Ke.find(this.context.cwd,this.context.plugins),A=W.makeIdent(this.scope??null,"pkg");return!Zn.getAuthConfiguration(n,{configuration:u,ident:A}).get("npmAuthToken")};return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{if(this.all&&(await _vt(),n.reportInfo(0,"Successfully logged out from everything")),this.scope){await PBe("npmScopes",this.scope),await o()?n.reportInfo(0,`Successfully logged out from ${this.scope}`):n.reportWarning(0,"Scope authentication settings removed, but some other ones settings still apply to it");return}let u=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish});await PBe("npmRegistries",u),await o()?n.reportInfo(0,`Successfully logged out from ${u}`):n.reportWarning(0,"Registry authentication settings removed, but some other ones settings still apply to it")})).exitCode()}};j0.paths=[["npm","logout"]],j0.usage=nt.Usage({category:"Npm-related commands",description:"logout of the npm registry",details:"\n This command will log you out by modifying your local configuration (in your home folder, never in the project itself) to delete all credentials linked to a registry.\n\n Adding the `-s,--scope` flag will cause the deletion to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n Adding the `--publish` flag will cause the deletion to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n\n Adding the `-A,--all` flag will cause the deletion to be done against all registries and scopes.\n ",examples:[["Logout of the default registry","yarn npm logout"],["Logout of the @my-scope scope","yarn npm logout --scope my-scope"],["Logout of the publish registry for the current package","yarn npm logout --publish"],["Logout of all registries","yarn npm logout --all"]]});function Uvt(t,e){let r=t[e];if(!je.isIndexableObject(r))return!1;let o=new Set(Object.keys(r));if([...ow].every(n=>!o.has(n)))return!1;for(let n of ow)o.delete(n);if(o.size===0)return t[e]=void 0,!0;let a={...r};for(let n of ow)delete a[n];return t[e]=a,!0}async function _vt(){let t=e=>{let r=!1,o=je.isIndexableObject(e)?{...e}:{};o.npmAuthToken&&(delete o.npmAuthToken,r=!0);for(let a of Object.keys(o))Uvt(o,a)&&(r=!0);if(Object.keys(o).length!==0)return r?o:e};return await Ke.updateHomeConfiguration({npmRegistries:t,npmScopes:t})}async function PBe(t,e){return await Ke.updateHomeConfiguration({[t]:r=>{let o=je.isIndexableObject(r)?r:{};if(!Object.hasOwn(o,e))return r;let a=o[e],n=je.isIndexableObject(a)?a:{},u=new Set(Object.keys(n));if([...ow].every(p=>!u.has(p)))return r;for(let p of ow)u.delete(p);if(u.size===0)return Object.keys(o).length===1?void 0:{...o,[e]:void 0};let A={};for(let p of ow)A[p]=void 0;return{...o,[e]:{...n,...A}}}})}Ye();qt();var q0=class extends ut{constructor(){super(...arguments);this.access=ge.String("--access",{description:"The access for the published package (public or restricted)"});this.tag=ge.String("--tag","latest",{description:"The tag on the registry that the package should be attached to"});this.tolerateRepublish=ge.Boolean("--tolerate-republish",!1,{description:"Warn and exit when republishing an already existing version of a package"});this.otp=ge.String("--otp",{description:"The OTP token to use with the command"})}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);if(a.manifest.private)throw new it("Private workspaces cannot be published");if(a.manifest.name===null||a.manifest.version===null)throw new it("Workspaces must have valid names and versions to be published on an external registry");await o.restoreInstallState();let n=a.manifest.name,u=a.manifest.version,A=Zn.getPublishRegistry(a.manifest,{configuration:r});return(await Nt.start({configuration:r,stdout:this.context.stdout},async h=>{if(this.tolerateRepublish)try{let C=await on.get(on.getIdentUrl(n),{configuration:r,registry:A,ident:n,jsonResponse:!0});if(!Object.hasOwn(C,"versions"))throw new Jt(15,'Registry returned invalid data for - missing "versions" field');if(Object.hasOwn(C.versions,u)){h.reportWarning(0,`Registry already knows about version ${u}; skipping.`);return}}catch(C){if(C.originalError?.response?.statusCode!==404)throw C}await un.maybeExecuteWorkspaceLifecycleScript(a,"prepublish",{report:h}),await CA.prepareForPack(a,{report:h},async()=>{let C=await CA.genPackList(a);for(let R of C)h.reportInfo(null,R);let I=await CA.genPackStream(a,C),v=await je.bufferStream(I),x=await iw.getGitHead(a.cwd),E=await iw.makePublishBody(a,v,{access:this.access,tag:this.tag,registry:A,gitHead:x});await on.put(on.getIdentUrl(n),E,{configuration:r,registry:A,ident:n,otp:this.otp,jsonResponse:!0})}),h.reportInfo(0,"Package archive published")})).exitCode()}};q0.paths=[["npm","publish"]],q0.usage=nt.Usage({category:"Npm-related commands",description:"publish the active workspace to the npm registry",details:'\n This command will pack the active workspace into a fresh archive and upload it to the npm registry.\n\n The package will by default be attached to the `latest` tag on the registry, but this behavior can be overriden by using the `--tag` option.\n\n Note that for legacy reasons scoped packages are by default published with an access set to `restricted` (aka "private packages"). This requires you to register for a paid npm plan. In case you simply wish to publish a public scoped package to the registry (for free), just add the `--access public` flag. This behavior can be enabled by default through the `npmPublishAccess` settings.\n ',examples:[["Publish the active workspace","yarn npm publish"]]});Ye();qt();var SBe=$e(Jn());Ye();Pt();qt();var G0=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.package=ge.String({required:!1})}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n;if(typeof this.package<"u")n=W.parseIdent(this.package);else{if(!a)throw new rr(o.cwd,this.context.cwd);if(!a.manifest.name)throw new it(`Missing 'name' field in ${ue.fromPortablePath(V.join(a.cwd,dr.manifest))}`);n=a.manifest.name}let u=await Tv(n,r),p={children:je.sortMap(Object.entries(u),([h])=>h).map(([h,C])=>({value:de.tuple(de.Type.RESOLUTION,{descriptor:W.makeDescriptor(n,h),locator:W.makeLocator(n,C)})}))};return $s.emitTree(p,{configuration:r,json:this.json,stdout:this.context.stdout})}};G0.paths=[["npm","tag","list"]],G0.usage=nt.Usage({category:"Npm-related commands",description:"list all dist-tags of a package",details:` - This command will list all tags of a package from the npm registry. - - If the package is not specified, Yarn will default to the current workspace. - `,examples:[["List all tags of package `my-pkg`","yarn npm tag list my-pkg"]]});async function Tv(t,e){let r=`/-/package${on.getIdentUrl(t)}/dist-tags`;return on.get(r,{configuration:e,ident:t,jsonResponse:!0,customErrorMessage:on.customPackageError})}var Y0=class extends ut{constructor(){super(...arguments);this.package=ge.String();this.tag=ge.String()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);let n=W.parseDescriptor(this.package,!0),u=n.range;if(!SBe.default.valid(u))throw new it(`The range ${de.pretty(r,n.range,de.Type.RANGE)} must be a valid semver version`);let A=Zn.getPublishRegistry(a.manifest,{configuration:r}),p=de.pretty(r,n,de.Type.IDENT),h=de.pretty(r,u,de.Type.RANGE),C=de.pretty(r,this.tag,de.Type.CODE);return(await Nt.start({configuration:r,stdout:this.context.stdout},async v=>{let x=await Tv(n,r);Object.hasOwn(x,this.tag)&&x[this.tag]===u&&v.reportWarning(0,`Tag ${C} is already set to version ${h}`);let E=`/-/package${on.getIdentUrl(n)}/dist-tags/${encodeURIComponent(this.tag)}`;await on.put(E,u,{configuration:r,registry:A,ident:n,jsonRequest:!0,jsonResponse:!0}),v.reportInfo(0,`Tag ${C} added to version ${h} of package ${p}`)})).exitCode()}};Y0.paths=[["npm","tag","add"]],Y0.usage=nt.Usage({category:"Npm-related commands",description:"add a tag for a specific version of a package",details:` - This command will add a tag to the npm registry for a specific version of a package. 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checkout.")),h.createElement(A,{flexDirection:"column",marginTop:1,paddingLeft:2},[...R.changedFiles].map(ne=>h.createElement(A,{key:ne},h.createElement(p,null,h.createElement(p,{color:"grey"},ue.fromPortablePath(R.root)),ue.sep,ue.relative(ue.fromPortablePath(R.root),ue.fromPortablePath(ne)))))),R.releaseRoots.size>0&&h.createElement(h.Fragment,null,h.createElement(A,{marginTop:1},h.createElement(p,{wrap:"wrap"},"Because of those files having been modified, the following workspaces may need to be released again (note that private workspaces are also shown here, because even though they won't be published, releasing them will allow us to flag their dependents for potential re-release):")),g.size>3?h.createElement(A,{marginTop:1},h.createElement(le,{workspaces:R.releaseRoots,releases:ae})):null,h.createElement(A,{marginTop:1,flexDirection:"column"},h.createElement(o,{active:Ee%2===0,radius:1,size:2,onFocusRequest:ce},[...R.releaseRoots].map(ne=>h.createElement(U,{key:ne.cwd,workspace:ne,decision:ae.get(ne)||"undecided",setDecision:ee=>Ie(ne,ee)}))))),g.size>0?h.createElement(h.Fragment,null,h.createElement(A,{marginTop:1},h.createElement(p,{wrap:"wrap"},"The following workspaces depend on other workspaces that have been marked for release, and thus may need to be released as well:")),h.createElement(A,null,h.createElement(p,null,"(Press ",h.createElement(p,{bold:!0,color:"cyanBright"},"")," to move the focus between the workspace groups.)")),g.size>5?h.createElement(A,{marginTop:1},h.createElement(le,{workspaces:g,releases:ae})):null,h.createElement(A,{marginTop:1,flexDirection:"column"},h.createElement(o,{active:Ee%2===1,radius:2,size:2,onFocusRequest:ce},[...g].map(ne=>h.createElement(U,{key:ne.cwd,workspace:ne,decision:ae.get(ne)||"undecided",setDecision:ee=>Ie(ne,ee)}))))):null)},{versionFile:R},{stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr});if(typeof Ae>"u")return 1;R.releases.clear();for(let[ye,ae]of Ae)R.releases.set(ye,ae);await R.saveAll()}async executeStandard(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);return await o.restoreInstallState(),(await Nt.start({configuration:r,stdout:this.context.stdout},async u=>{let A=await pw(o);if(A===null||A.releaseRoots.size===0)return;if(A.root===null)throw new it("This command can only be run on Git repositories");if(u.reportInfo(0,`Your PR was started right after ${de.pretty(r,A.baseHash.slice(0,7),"yellow")} ${de.pretty(r,A.baseTitle,"magenta")}`),A.changedFiles.size>0){u.reportInfo(0,"You have changed the following files since then:"),u.reportSeparator();for(let v of A.changedFiles)u.reportInfo(null,`${de.pretty(r,ue.fromPortablePath(A.root),"gray")}${ue.sep}${ue.relative(ue.fromPortablePath(A.root),ue.fromPortablePath(v))}`)}let p=!1,h=!1,C=cF(A);if(C.size>0){p||u.reportSeparator();for(let v of C)u.reportError(0,`${W.prettyLocator(r,v.anchoredLocator)} has been modified but doesn't have a release strategy attached`);p=!0}let I=qv(A);for(let[v,x]of I)h||u.reportSeparator(),u.reportError(0,`${W.prettyLocator(r,v.anchoredLocator)} doesn't have a release strategy attached, but depends on ${W.prettyWorkspace(r,x)} which is planned for release.`),h=!0;(p||h)&&(u.reportSeparator(),u.reportInfo(0,"This command detected that at least some workspaces have received modifications without explicit instructions as to how they had to be released (if needed)."),u.reportInfo(0,"To correct these errors, run `yarn version check --interactive` then follow the instructions."))})).exitCode()}};$0.paths=[["version","check"]],$0.usage=nt.Usage({category:"Release-related commands",description:"check that all the relevant packages have been bumped",details:"\n **Warning:** This command currently requires Git.\n\n This command will check that all the packages covered by the files listed in argument have been properly bumped or declined to bump.\n\n In the case of a bump, the check will also cover transitive packages - meaning that should `Foo` be bumped, a package `Bar` depending on `Foo` will require a decision as to whether `Bar` will need to be bumped. This check doesn't cross packages that have declined to bump.\n\n In case no arguments are passed to the function, the list of modified files will be generated by comparing the HEAD against `master`.\n ",examples:[["Check whether the modified packages need a bump","yarn version check"]]});Ye();qt();var fF=$e(Jn());var eg=class extends ut{constructor(){super(...arguments);this.deferred=ge.Boolean("-d,--deferred",{description:"Prepare the version to be bumped during the next release cycle"});this.immediate=ge.Boolean("-i,--immediate",{description:"Bump the version immediately"});this.strategy=ge.String()}async execute(){let r=await Ke.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);let n=r.get("preferDeferredVersions");this.deferred&&(n=!0),this.immediate&&(n=!1);let u=fF.default.valid(this.strategy),A=this.strategy==="decline",p;if(u)if(a.manifest.version!==null){let C=JG(a.manifest.version,this.strategy);C!==null?p=C:p=this.strategy}else p=this.strategy;else{let C=a.manifest.version;if(!A){if(C===null)throw new it("Can't bump the version if there wasn't a version to begin with - use 0.0.0 as initial version then run the command again.");if(typeof C!="string"||!fF.default.valid(C))throw new it(`Can't bump the version (${C}) if it's not valid semver`)}p=Aw(this.strategy)}if(!n){let I=(await jv(o)).get(a);if(typeof I<"u"&&p!=="decline"){let v=uF(a.manifest.version,p);if(fF.default.lt(v,I))throw new it(`Can't bump the version to one that would be lower than the current deferred one (${I})`)}}let h=await pw(o,{allowEmpty:!0});return h.releases.set(a,p),await h.saveAll(),n?0:await this.cli.run(["version","apply"])}};eg.paths=[["version"]],eg.usage=nt.Usage({category:"Release-related commands",description:"apply a new version to the current package",details:"\n This command will bump the version number for the given package, following the specified strategy:\n\n - If `major`, the first number from the semver range will be increased (`X.0.0`).\n - If `minor`, the second number from the semver range will be increased (`0.X.0`).\n - If `patch`, the third number from the semver range will be increased (`0.0.X`).\n - If prefixed by `pre` (`premajor`, ...), a `-0` suffix will be set (`0.0.0-0`).\n - If `prerelease`, the suffix will be increased (`0.0.0-X`); 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can't satisfy the dependency graph")}});return he!==null?he:ye.exitCode()}};sp.paths=[["workspaces","foreach"]],sp.usage=nt.Usage({category:"Workspace-related commands",description:"run a command on all workspaces",details:"\n This command will run a given sub-command on current and all its descendant workspaces. Various flags can alter the exact behavior of the command:\n\n - If `-p,--parallel` is set, the commands will be ran in parallel; they'll by default be limited to a number of parallel tasks roughly equal to half your core number, but that can be overridden via `-j,--jobs`, or disabled by setting `-j unlimited`.\n\n - If `-p,--parallel` and `-i,--interlaced` are both set, Yarn will print the lines from the output as it receives them. If `-i,--interlaced` wasn't set, it would instead buffer the output from each process and print the resulting buffers only after their source processes have exited.\n\n - If `-t,--topological` is set, Yarn will only run the command after all workspaces that it depends on through the `dependencies` field have successfully finished executing. If `--topological-dev` is set, both the `dependencies` and `devDependencies` fields will be considered when figuring out the wait points.\n\n - If `-A,--all` is set, Yarn will run the command on all the workspaces of a project.\n\n - If `-R,--recursive` is set, Yarn will find workspaces to run the command on by recursively evaluating `dependencies` and `devDependencies` fields, instead of looking at the `workspaces` fields.\n\n - If `-W,--worktree` is set, Yarn will find workspaces to run the command on by looking at the current worktree.\n\n - If `--from` is set, Yarn will use the packages matching the 'from' glob as the starting point for any recursive search.\n\n - If `--since` is set, Yarn will only run the command on workspaces that have been modified since the specified ref. 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IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, - INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM - LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR - OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR - PERFORMANCE OF THIS SOFTWARE. - */ -/** - @license - Copyright Joyent, Inc. and other Node contributors. - - Permission is hereby granted, free of charge, to any person obtaining a - copy of this software and associated documentation files (the - "Software"), to deal in the Software without restriction, including - without limitation the rights to use, copy, modify, merge, publish, - distribute, sublicense, and/or sell copies of the Software, and to permit - persons to whom the Software is furnished to do so, subject to the - following conditions: - - The above copyright notice and this permission notice shall be included - in all copies or substantial portions of the Software. - - THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS - OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF - MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN - NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, - DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR - OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE - USE OR OTHER DEALINGS IN THE SOFTWARE. -*/ -/** - @license - Copyright Node.js contributors. All rights reserved. - - Permission is hereby granted, free of charge, to any person obtaining a copy - of this software and associated documentation files (the "Software"), to - deal in the Software without restriction, including without limitation the - rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - sell copies of the Software, and to permit persons to whom the Software is - furnished to do so, subject to the following conditions: - - The above copyright notice and this permission notice shall be included in - all copies or substantial portions of the Software. - - THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING - FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS - IN THE SOFTWARE. -*/ -/** - @license - The MIT License (MIT) - - Copyright (c) 2014 Blake Embrey (hello@blakeembrey.com) - - Permission is hereby granted, free of charge, to any person obtaining a copy - of this software and associated documentation files (the "Software"), to deal - in the Software without restriction, including without limitation the rights - to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - copies of the Software, and to permit persons to whom the Software is - furnished to do so, subject to the following conditions: - - The above copyright notice and this permission notice shall be included in - all copies or substantial portions of the Software. - - THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN - THE SOFTWARE. -*/ -/** @license React v0.18.0 - * scheduler.production.min.js - * - * Copyright (c) Facebook, Inc. and its affiliates. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ -/** @license React v0.24.0 - * react-reconciler.production.min.js - * - * Copyright (c) Facebook, Inc. and its affiliates. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ -/** @license React v16.13.1 - * react.production.min.js - * - * Copyright (c) Facebook, Inc. and its affiliates. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ diff --git a/.yarnrc.yml b/.yarnrc.yml deleted file mode 100644 index 71338f8..0000000 --- a/.yarnrc.yml +++ /dev/null @@ -1,3 +0,0 @@ -nodeLinker: node-modules - -yarnPath: .yarn/releases/yarn-4.0.1.cjs diff --git a/404.html b/404.html new file mode 100644 index 0000000..8d329c0 --- /dev/null +++ b/404.html @@ -0,0 +1,18 @@ + + + + + +Page Not Found | CaptchaAgent + + + + + + + + + +

Page Not Found

We could not find what you were looking for.

Please contact the owner of the site that linked you to the original URL and let them know their link is broken.

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/static/CNAME b/CNAME similarity index 100% rename from static/CNAME rename to CNAME diff --git a/LICENSE b/LICENSE deleted file mode 100644 index 261eeb9..0000000 --- a/LICENSE +++ /dev/null @@ -1,201 +0,0 @@ - Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. Definitions. - - "License" shall mean the terms and conditions for use, reproduction, - and distribution as defined by Sections 1 through 9 of this document. - - "Licensor" shall mean the copyright owner or entity authorized by - the copyright owner that is granting the License. - - "Legal Entity" shall mean the union of the acting entity and all - other entities that control, are controlled by, or are under common - control with that entity. For the purposes of this definition, - "control" means (i) the power, direct or indirect, to cause the - direction or management of such entity, whether by contract or - otherwise, or (ii) ownership of fifty percent (50%) or more of the - outstanding shares, or (iii) beneficial ownership of such entity. - - "You" (or "Your") shall mean an individual or Legal Entity - exercising permissions granted by this License. - - "Source" form shall mean the preferred form for making modifications, - including but not limited to software source code, documentation - source, and configuration files. - - "Object" form shall mean any form resulting from mechanical - transformation or translation of a Source form, including but - not limited to compiled object code, generated documentation, - and conversions to other media types. - - "Work" shall mean the work of authorship, whether in Source or - Object form, made available under the License, as indicated by a - copyright notice that is included in or attached to the work - (an example is provided in the Appendix below). - - "Derivative Works" shall mean any work, whether in Source or Object - form, that is based on (or derived from) the Work and for which the - editorial revisions, annotations, elaborations, or other modifications - represent, as a whole, an original work of authorship. For the purposes - of this License, Derivative Works shall not include works that remain - separable from, or merely link (or bind by name) to the interfaces of, - the Work and Derivative Works thereof. - - "Contribution" shall mean any work of authorship, including - the original version of the Work and any modifications or additions - to that Work or Derivative Works thereof, that is intentionally - submitted to Licensor for inclusion in the Work by the copyright owner - or by an individual or Legal Entity authorized to submit on behalf of - the copyright owner. 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In no event and under no legal theory, - whether in tort (including negligence), contract, or otherwise, - unless required by applicable law (such as deliberate and grossly - negligent acts) or agreed to in writing, shall any Contributor be - liable to You for damages, including any direct, indirect, special, - incidental, or consequential damages of any character arising as a - result of this License or out of the use or inability to use the - Work (including but not limited to damages for loss of goodwill, - work stoppage, computer failure or malfunction, or any and all - other commercial damages or losses), even if such Contributor - has been advised of the possibility of such damages. - - 9. Accepting Warranty or Additional Liability. While redistributing - the Work or Derivative Works thereof, You may choose to offer, - and charge a fee for, acceptance of support, warranty, indemnity, - or other liability obligations and/or rights consistent with this - License. However, in accepting such obligations, You may act only - on Your own behalf and on Your sole responsibility, not on behalf - of any other Contributor, and only if You agree to indemnify, - defend, and hold each Contributor harmless for any liability - incurred by, or claims asserted against, such Contributor by reason - of your accepting any such warranty or additional liability. - - END OF TERMS AND CONDITIONS - - APPENDIX: How to apply the Apache License to your work. - - To apply the Apache License to your work, attach the following - boilerplate notice, with the fields enclosed by brackets "[]" - replaced with your own identifying information. (Don't include - the brackets!) The text should be enclosed in the appropriate - comment syntax for the file format. We also recommend that a - file or class name and description of purpose be included on the - same "printed page" as the copyright notice for easier - identification within third-party archives. - - Copyright [yyyy] [name of copyright owner] - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. diff --git a/README.md b/README.md deleted file mode 100644 index f15a5f0..0000000 --- a/README.md +++ /dev/null @@ -1,47 +0,0 @@ -# Website - -This website is built using [Docusaurus 2](https://docusaurus.io/), a modern static website generator. - -### Installation - -``` -$ yarn -``` - -### Local Development - -``` -$ yarn start -``` - -This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server. - -### Build - -``` -$ yarn build -``` - -This command generates static content into the `build` directory and can be served using any static contents hosting service. - -### Deployment - -Using SSH: - -``` -$ USE_SSH=true yarn deploy -``` - -Not using SSH: - -``` -$ GIT_USER= yarn deploy -``` - -If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch. - -## Memorandum - -- https://docusaurus.io/zh-CN/docs/blog - -- [📦 plugin-content-docs | Docusaurus](https://docusaurus.io/zh-CN/docs/api/plugins/@docusaurus/plugin-content-docs#markdown-front-matter) diff --git a/assets/css/styles.9bfbcf78.css b/assets/css/styles.9bfbcf78.css new file mode 100644 index 0000000..0430251 --- /dev/null +++ b/assets/css/styles.9bfbcf78.css @@ -0,0 +1 @@ +.col,.container{padding:0 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0===t.processingTimeMS?e:e+t.processingTimeMS}),0),this.disjunctiveFacets=[],this.hierarchicalFacets=e.hierarchicalFacets.map((function(){return[]})),this.facets=[];var h=e.getRefinedDisjunctiveFacets(),f=d(e.facets),v=d(e.disjunctiveFacets),g=1,y=s.facets||{};Object.keys(y).forEach((function(t){var r,n,i=y[t],o=(r=e.hierarchicalFacets,n=t,a(r,(function(e){return(e.attributes||[]).indexOf(n)>-1})));if(o){var h=o.attributes.indexOf(t),l=c(e.hierarchicalFacets,(function(e){return e.name===o.name}));u.hierarchicalFacets[l][h]={attribute:t,data:i,exhaustive:s.exhaustiveFacetsCount}}else{var m,d=-1!==e.disjunctiveFacets.indexOf(t),g=-1!==e.facets.indexOf(t);d&&(m=v[t],u.disjunctiveFacets[m]={name:t,data:i,exhaustive:s.exhaustiveFacetsCount},p(u.disjunctiveFacets[m],s.facets_stats,t)),g&&(m=f[t],u.facets[m]={name:t,data:i,exhaustive:s.exhaustiveFacetsCount},p(u.facets[m],s.facets_stats,t))}})),this.hierarchicalFacets=n(this.hierarchicalFacets),h.forEach((function(r){var n=t[g],a=n&&n.facets?n.facets:{},h=e.getHierarchicalFacetByName(r);Object.keys(a).forEach((function(t){var r,f=a[t];if(h){r=c(e.hierarchicalFacets,(function(e){return e.name===h.name}));var m=c(u.hierarchicalFacets[r],(function(e){return e.attribute===t}));if(-1===m)return;u.hierarchicalFacets[r][m].data=o({},u.hierarchicalFacets[r][m].data,f)}else{r=v[t];var d=s.facets&&s.facets[t]||{};u.disjunctiveFacets[r]={name:t,data:i({},f,d),exhaustive:n.exhaustiveFacetsCount},p(u.disjunctiveFacets[r],n.facets_stats,t),e.disjunctiveFacetsRefinements[t]&&e.disjunctiveFacetsRefinements[t].forEach((function(n){!u.disjunctiveFacets[r].data[n]&&e.disjunctiveFacetsRefinements[t].indexOf(l(n))>-1&&(u.disjunctiveFacets[r].data[n]=0)}))}})),g++})),e.getRefinedHierarchicalFacets().forEach((function(r){var n=e.getHierarchicalFacetByName(r),s=e._getHierarchicalFacetSeparator(n),a=e.getHierarchicalRefinement(r);0===a.length||a[0].split(s).length<2||t.slice(g).forEach((function(t){var r=t&&t.facets?t.facets:{};Object.keys(r).forEach((function(t){var o=r[t],h=c(e.hierarchicalFacets,(function(e){return e.name===n.name})),f=c(u.hierarchicalFacets[h],(function(e){return e.attribute===t}));if(-1!==f){var l={};if(a.length>0){var m=a[0].split(s)[0];l[m]=u.hierarchicalFacets[h][f].data[m]}u.hierarchicalFacets[h][f].data=i(l,o,u.hierarchicalFacets[h][f].data)}})),g++}))})),Object.keys(e.facetsExcludes).forEach((function(t){var r=e.facetsExcludes[t],n=f[t];u.facets[n]={name:t,data:y[t],exhaustive:s.exhaustiveFacetsCount},r.forEach((function(e){u.facets[n]=u.facets[n]||{name:t},u.facets[n].data=u.facets[n].data||{},u.facets[n].data[e]=0}))})),this.hierarchicalFacets=this.hierarchicalFacets.map(m(e)),this.facets=n(this.facets),this.disjunctiveFacets=n(this.disjunctiveFacets),this._state=e}function g(e,t){function r(e){return e.name===t}if(e._state.isConjunctiveFacet(t)){var n=a(e.facets,r);return n?Object.keys(n.data).map((function(r){var i=f(r);return{name:r,escapedValue:i,count:n.data[r],isRefined:e._state.isFacetRefined(t,i),isExcluded:e._state.isExcludeRefined(t,r)}})):[]}if(e._state.isDisjunctiveFacet(t)){var i=a(e.disjunctiveFacets,r);return i?Object.keys(i.data).map((function(r){var n=f(r);return{name:r,escapedValue:n,count:i.data[r],isRefined:e._state.isDisjunctiveFacetRefined(t,n)}})):[]}if(e._state.isHierarchicalFacet(t)){var s=a(e.hierarchicalFacets,r);if(!s)return s;var c=e._state.getHierarchicalFacetByName(t),u=e._state._getHierarchicalFacetSeparator(c),o=l(e._state.getHierarchicalRefinement(t)[0]||"");0===o.indexOf(c.rootPath)&&(o=o.replace(c.rootPath+u,""));var h=o.split(u);return h.unshift(t),y(s,h,0),s}}function y(e,t,r){e.isRefined=e.name===t[r],e.data&&e.data.forEach((function(e){y(e,t,r+1)}))}function R(e,t,r,n){if(n=n||0,Array.isArray(t))return e(t,r[n]);if(!t.data||0===t.data.length)return t;var s=t.data.map((function(t){return R(e,t,r,n+1)})),a=e(s,r[n]);return i({data:a},t)}function F(e,t){var r=a(e,(function(e){return e.name===t}));return r&&r.stats}function b(e,t,r,n,i){var s=a(i,(function(e){return e.name===r})),c=s&&s.data&&s.data[n]?s.data[n]:0,u=s&&s.exhaustive||!1;return{type:t,attributeName:r,name:n,count:c,exhaustive:u}}v.prototype.getFacetByName=function(e){function t(t){return t.name===e}return a(this.facets,t)||a(this.disjunctiveFacets,t)||a(this.hierarchicalFacets,t)},v.DEFAULT_SORT=["isRefined:desc","count:desc","name:asc"],v.prototype.getFacetValues=function(e,t){var r=g(this,e);if(r){var n,s=i({},t,{sortBy:v.DEFAULT_SORT,facetOrdering:!(t&&t.sortBy)}),a=this;if(Array.isArray(r))n=[e];else n=a._state.getHierarchicalFacetByName(r.name).attributes;return R((function(e,t){if(s.facetOrdering){var r=function(e,t){return e.renderingContent&&e.renderingContent.facetOrdering&&e.renderingContent.facetOrdering.values&&e.renderingContent.facetOrdering.values[t]}(a,t);if(r)return function(e,t){var r=[],n=[],i=(t.order||[]).reduce((function(e,t,r){return e[t]=r,e}),{});e.forEach((function(e){var t=e.path||e.name;void 0!==i[t]?r[i[t]]=e:n.push(e)})),r=r.filter((function(e){return e}));var s,a=t.sortRemainingBy;return"hidden"===a?r:(s="alpha"===a?[["path","name"],["asc","asc"]]:[["count"],["desc"]],r.concat(h(n,s[0],s[1])))}(e,r)}if(Array.isArray(s.sortBy)){var n=u(s.sortBy,v.DEFAULT_SORT);return h(e,n[0],n[1])}if("function"==typeof s.sortBy)return function(e,t){return t.sort(e)}(s.sortBy,e);throw new Error("options.sortBy is optional but if defined it must be either an array of string (predicates) or a sorting function")}),r,n)}},v.prototype.getFacetStats=function(e){return this._state.isConjunctiveFacet(e)?F(this.facets,e):this._state.isDisjunctiveFacet(e)?F(this.disjunctiveFacets,e):void 0},v.prototype.getRefinements=function(){var e=this._state,t=this,r=[];return Object.keys(e.facetsRefinements).forEach((function(n){e.facetsRefinements[n].forEach((function(i){r.push(b(e,"facet",n,i,t.facets))}))})),Object.keys(e.facetsExcludes).forEach((function(n){e.facetsExcludes[n].forEach((function(i){r.push(b(e,"exclude",n,i,t.facets))}))})),Object.keys(e.disjunctiveFacetsRefinements).forEach((function(n){e.disjunctiveFacetsRefinements[n].forEach((function(i){r.push(b(e,"disjunctive",n,i,t.disjunctiveFacets))}))})),Object.keys(e.hierarchicalFacetsRefinements).forEach((function(n){e.hierarchicalFacetsRefinements[n].forEach((function(i){r.push(function(e,t,r,n){var i=e.getHierarchicalFacetByName(t),s=e._getHierarchicalFacetSeparator(i),c=r.split(s),u=a(n,(function(e){return e.name===t})),o=c.reduce((function(e,t){var r=e&&a(e.data,(function(e){return e.name===t}));return void 0!==r?r:e}),u),h=o&&o.count||0,f=o&&o.exhaustive||!1,l=o&&o.path||"";return{type:"hierarchical",attributeName:t,name:l,count:h,exhaustive:f}}(e,n,i,t.hierarchicalFacets))}))})),Object.keys(e.numericRefinements).forEach((function(t){var n=e.numericRefinements[t];Object.keys(n).forEach((function(e){n[e].forEach((function(n){r.push({type:"numeric",attributeName:t,name:n,numericValue:n,operator:e})}))}))})),e.tagRefinements.forEach((function(e){r.push({type:"tag",attributeName:"_tags",name:e})})),r},e.exports=v},9374:(e,t,r)=>{"use strict";var n=r(7331),i=r(8078),s=r(4039).escapeFacetValue,a=r(4853),c=r(185),u=r(116),o=r(9803),h=r(6394),f=r(7775),l=r(3076),m=r(4336);function d(e,t,r){"function"==typeof e.addAlgoliaAgent&&e.addAlgoliaAgent("JS Helper ("+m+")"),this.setClient(e);var n=r||{};n.index=t,this.state=f.make(n),this.lastResults=null,this._queryId=0,this._lastQueryIdReceived=-1,this.derivedHelpers=[],this._currentNbQueries=0}function p(e){if(e<0)throw new Error("Page requested below 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l(r,e.results),r)})).catch((function(e){i._currentNbQueries--,0===i._currentNbQueries&&i.emit("searchQueueEmpty"),t(e,null,r)}))},d.prototype.findAnswers=function(e){console.warn("[algoliasearch-helper] answers is no longer supported");var t=this.state,r=this.derivedHelpers[0];if(!r)return Promise.resolve([]);var n=r.getModifiedState(t),i=c({attributesForPrediction:e.attributesForPrediction,nbHits:e.nbHits},{params:o(h._getHitsSearchParams(n),["attributesToSnippet","hitsPerPage","restrictSearchableAttributes","snippetEllipsisText"])}),s="search for answers was called, but this client does not have a function client.initIndex(index).findAnswers";if("function"!=typeof this.client.initIndex)throw new Error(s);var a=this.client.initIndex(n.index);if("function"!=typeof a.findAnswers)throw new Error(s);return a.findAnswers(n.query,e.queryLanguages,i)},d.prototype.searchForFacetValues=function(e,t,r,n){var i="function"==typeof this.client.searchForFacetValues,a="function"==typeof this.client.initIndex;if(!i&&!a&&"function"!=typeof this.client.search)throw new Error("search for facet values (searchable) was called, but this client does not have a function client.searchForFacetValues or client.initIndex(index).searchForFacetValues");var c=this.state.setQueryParameters(n||{}),u=c.isDisjunctiveFacet(e),o=h.getSearchForFacetQuery(e,t,r,c);this._currentNbQueries++;var f,l=this;return i?f=this.client.searchForFacetValues([{indexName:c.index,params:o}]):a?f=this.client.initIndex(c.index).searchForFacetValues(o):(delete o.facetName,f=this.client.search([{type:"facet",facet:e,indexName:c.index,params:o}]).then((function(e){return e.results[0]}))),this.emit("searchForFacetValues",{state:c,facet:e,query:t}),f.then((function(t){return l._currentNbQueries--,0===l._currentNbQueries&&l.emit("searchQueueEmpty"),(t=Array.isArray(t)?t[0]:t).facetHits.forEach((function(t){t.escapedValue=s(t.value),t.isRefined=u?c.isDisjunctiveFacetRefined(e,t.escapedValue):c.isFacetRefined(e,t.escapedValue)})),t}),(function(e){throw l._currentNbQueries--,0===l._currentNbQueries&&l.emit("searchQueueEmpty"),e}))},d.prototype.setQuery=function(e){return this._change({state:this.state.resetPage().setQuery(e),isPageReset:!0}),this},d.prototype.clearRefinements=function(e){return this._change({state:this.state.resetPage().clearRefinements(e),isPageReset:!0}),this},d.prototype.clearTags=function(){return this._change({state:this.state.resetPage().clearTags(),isPageReset:!0}),this},d.prototype.addDisjunctiveFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().addDisjunctiveFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.addDisjunctiveRefine=function(){return this.addDisjunctiveFacetRefinement.apply(this,arguments)},d.prototype.addHierarchicalFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().addHierarchicalFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.addNumericRefinement=function(e,t,r){return this._change({state:this.state.resetPage().addNumericRefinement(e,t,r),isPageReset:!0}),this},d.prototype.addFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().addFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.addRefine=function(){return this.addFacetRefinement.apply(this,arguments)},d.prototype.addFacetExclusion=function(e,t){return this._change({state:this.state.resetPage().addExcludeRefinement(e,t),isPageReset:!0}),this},d.prototype.addExclude=function(){return this.addFacetExclusion.apply(this,arguments)},d.prototype.addTag=function(e){return this._change({state:this.state.resetPage().addTagRefinement(e),isPageReset:!0}),this},d.prototype.removeNumericRefinement=function(e,t,r){return this._change({state:this.state.resetPage().removeNumericRefinement(e,t,r),isPageReset:!0}),this},d.prototype.removeDisjunctiveFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().removeDisjunctiveFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.removeDisjunctiveRefine=function(){return this.removeDisjunctiveFacetRefinement.apply(this,arguments)},d.prototype.removeHierarchicalFacetRefinement=function(e){return this._change({state:this.state.resetPage().removeHierarchicalFacetRefinement(e),isPageReset:!0}),this},d.prototype.removeFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().removeFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.removeRefine=function(){return this.removeFacetRefinement.apply(this,arguments)},d.prototype.removeFacetExclusion=function(e,t){return this._change({state:this.state.resetPage().removeExcludeRefinement(e,t),isPageReset:!0}),this},d.prototype.removeExclude=function(){return this.removeFacetExclusion.apply(this,arguments)},d.prototype.removeTag=function(e){return this._change({state:this.state.resetPage().removeTagRefinement(e),isPageReset:!0}),this},d.prototype.toggleFacetExclusion=function(e,t){return this._change({state:this.state.resetPage().toggleExcludeFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.toggleExclude=function(){return this.toggleFacetExclusion.apply(this,arguments)},d.prototype.toggleRefinement=function(e,t){return this.toggleFacetRefinement(e,t)},d.prototype.toggleFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().toggleFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.toggleRefine=function(){return this.toggleFacetRefinement.apply(this,arguments)},d.prototype.toggleTag=function(e){return this._change({state:this.state.resetPage().toggleTagRefinement(e),isPageReset:!0}),this},d.prototype.nextPage=function(){var e=this.state.page||0;return this.setPage(e+1)},d.prototype.previousPage=function(){var e=this.state.page||0;return this.setPage(e-1)},d.prototype.setCurrentPage=p,d.prototype.setPage=p,d.prototype.setIndex=function(e){return this._change({state:this.state.resetPage().setIndex(e),isPageReset:!0}),this},d.prototype.setQueryParameter=function(e,t){return this._change({state:this.state.resetPage().setQueryParameter(e,t),isPageReset:!0}),this},d.prototype.setState=function(e){return this._change({state:f.make(e),isPageReset:!1}),this},d.prototype.overrideStateWithoutTriggeringChangeEvent=function(e){return this.state=new 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t=[];if(this.state.isConjunctiveFacet(e))this.state.getConjunctiveRefinements(e).forEach((function(e){t.push({value:e,type:"conjunctive"})})),this.state.getExcludeRefinements(e).forEach((function(e){t.push({value:e,type:"exclude"})}));else if(this.state.isDisjunctiveFacet(e)){this.state.getDisjunctiveRefinements(e).forEach((function(e){t.push({value:e,type:"disjunctive"})}))}var r=this.state.getNumericRefinements(e);return Object.keys(r).forEach((function(e){var n=r[e];t.push({value:n,operator:e,type:"numeric"})})),t},d.prototype.getNumericRefinement=function(e,t){return this.state.getNumericRefinement(e,t)},d.prototype.getHierarchicalFacetBreadcrumb=function(e){return this.state.getHierarchicalFacetBreadcrumb(e)},d.prototype._search=function(e){var t=this.state,r=[],n=[];e.onlyWithDerivedHelpers||(n=h._getQueries(t.index,t),r.push({state:t,queriesCount:n.length,helper:this}),this.emit("search",{state:t,results:this.lastResults}));var i=this.derivedHelpers.map((function(e){var 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It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score."]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/clip",children:"-- huggingface.co"})}),"\n"]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/3958bc6e52d9c3fc1fdabaf17657db76.png",alt:"CLIP"})}),"\n",(0,n.jsx)(t.h2,{id:"milestone",children:"Milestone"}),"\n",(0,n.jsx)(t.admonition,{type:"info",children:(0,n.jsxs)(t.p,{children:["We merged a ",(0,n.jsx)(t.a,{href:"https://github.com/QIN2DIM/hcaptcha-challenger/issues/858",children:"feature #858"})," to the main branch of ",(0,n.jsx)(t.a,{href:"https://github.com/QIN2DIM/hcaptcha-challenger",children:"hcaptcha-challenger"})," on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model."]})}),"\n",(0,n.jsxs)(t.p,{children:["Previously, we trained and used the ",(0,n.jsx)(t.a,{href:"https://github.com/CaptchaAgent/hcaptcha-model-factory/blob/main/src/factories/resnet.py#L28",children:"ResNet model"})," to handle the image classification challenge. The model network parameters are so small that our ",(0,n.jsx)(t.a,{href:"https://pytorch.org/tutorials/beginner/onnx/export_simple_model_to_onnx_tutorial.html",children:"exported"})," ResNet ",(0,n.jsx)(t.a,{href:"https://onnxruntime.ai/",children:"ONNX model"})," is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images."]}),"\n",(0,n.jsxs)(t.blockquote,{children:["\n",(0,n.jsxs)(t.p,{children:["But today, in 2023, there are so many key breakthroughs in ",(0,n.jsx)(t.a,{href:"https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiahvedm56CAxXEI0QIHQeMBLkQFnoECBkQAQ&url=https%3A%2F%2Fwww.ibm.com%2Ftopics%2Fcomputer-vision&usg=AOvVaw3K4rO-yHQ-RhOQjD0LbKZO&opi=89978449",children:"Computer Vision"})," that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA\ud83d\ude2e."]}),"\n"]}),"\n",(0,n.jsxs)(t.p,{children:["Thus, we also designed a ",(0,n.jsx)(t.a,{href:"https://github.com/CaptchaAgent/hcaptcha-model-factory/tree/main/automation",children:"factory workflow"})," based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data."]}),"\n",(0,n.jsx)(t.p,{children:"Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes."}),"\n",(0,n.jsx)(t.h2,{id:"automatic-image-annotation",children:"Automatic image annotation"}),"\n",(0,n.jsx)(t.admonition,{type:"note",children:(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/tasks/zero-shot-image-classification",children:"Zero shot image classification"})," is the task of classifying previously unseen classes during training of a model."]})}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/6dcf0cdc5089fa33fae236ab7ab4a951.png",alt:"image-20231031022847507"})}),"\n",(0,n.jsxs)(t.p,{children:["We have been using CLIP in the factory workflow for ",(0,n.jsx)(t.a,{href:"https://en.wikipedia.org/wiki/Automatic_image_annotation",children:"automatic image annotation"})," tasks since 2022, and at that time, the accuracy of ",(0,n.jsx)(t.a,{href:"https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_classification_results.csv",children:"the best CLIP model"})," in dealing with ",(0,n.jsx)(t.a,{href:"https://huggingface.co/tasks/zero-shot-image-classification",children:"zero-shot image classification"})," was not satisfactory, but it was very useful for saving your time."]}),"\n",(0,n.jsx)(t.p,{children:"If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process."}),"\n",(0,n.jsx)(t.p,{children:"With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores."}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/450ca5abdc2de3401c8f687d6952ffb2.jpg",alt:"Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1"})}),"\n",(0,n.jsxs)(t.p,{children:["It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of ",(0,n.jsx)("u",{children:"multi-categorizing a bunch of cluttered images"})," is quite different for human attention than ",(0,n.jsx)("u",{children:"identifying outliers in a bunch of images with similar overall characteristics"}),"."]}),"\n",(0,n.jsx)(t.h2,{id:"dilemmas-and-breakthroughs",children:"Dilemmas and breakthroughs"}),"\n",(0,n.jsx)(t.p,{children:"At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?"}),"\n",(0,n.jsxs)(t.p,{children:["This question stumped me. So much so that as projects like ",(0,n.jsx)(t.a,{href:"https://github.com/jina-ai/clip-as-service",children:"clip-as-service"})," started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.\ud83e\udd79"]}),"\n",(0,n.jsxs)(t.p,{children:["Note that you don't need much configuration to run the CLIP model, in the case of ",(0,n.jsx)(t.code,{children:"RN50.openai"})," you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time."]}),"\n",(0,n.jsxs)(t.p,{children:["With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ",(0,n.jsx)(t.a,{href:"https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_results.csv",children:"\u21aa\ufe0fbenchmarks"})]}),"\n",(0,n.jsxs)(t.blockquote,{children:["\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/clip",children:"CLIP"}),' supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ','". The expectation is to get the category label as the answer.']}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/owlvit",children:"OWL-ViT"})," allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to ",(0,n.jsx)(t.a,{href:"https://github.com/huggingface/notebooks/tree/main/examples#:~:text=zeroshot_object_detection_with_owlvit.ipynb",children:"this notebook"})," to learn more."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/clipseg",children:"CLIPSeg"})," supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to ",(0,n.jsx)(t.a,{href:"https://huggingface.co/blog/clipseg-zero-shot",children:"this blog post"})," that illustrates this idea. ",(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/groupvit",children:"GroupViT"})," also supports zero-shot segmentation."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/xclip",children:"X-CLIP"})," Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out ",(0,n.jsx)(t.a,{href:"https://github.com/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Zero_shot_classify_a_YouTube_video_with_X_CLIP.ipynb",children:"this notebook"})," for more details."]}),"\n"]}),"\n"]}),"\n",(0,n.jsx)(t.p,{children:"At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU."}),"\n",(0,n.jsx)(t.p,{children:"In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide."}),"\n",(0,n.jsx)(t.p,{children:"That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment."}),"\n",(0,n.jsxs)(t.p,{children:["It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. ",(0,n.jsx)(t.a,{href:"https://huggingface.co/timm/mobilenetv3_large_100.ra_in1k",children:"mobilenetv3"})," and ",(0,n.jsx)(t.a,{href:"https://github.com/baaivision/EVA/tree/master/EVA-02/asuka",children:"EVA-02"}),") that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ",(0,n.jsx)(t.a,{href:"https://github.com/huggingface/pytorch-image-models/blob/main/results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv",children:"\u21aa\ufe0fbenchmarks"})]}),"\n",(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/d101ab93a2687bf69889c2b38cc62541.png",alt:"radar"}),(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/8bf027fff3915204cd10e2bb7f2bc4d6.png",alt:"summary_tab"})]}),"\n",(0,n.jsx)(t.h2,{id:"scenarios-for-the-clip-onnx",children:"Scenarios for the CLIP-ONNX"}),"\n",(0,n.jsx)(t.p,{children:"As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance."}),"\n",(0,n.jsx)(t.p,{children:"It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?"}),"\n",(0,n.jsx)(t.p,{children:"\ud83d\udea7"}),"\n",(0,n.jsx)(t.h2,{id:"the-generation-of-the-llm",children:"The generation of the LLM"}),"\n",(0,n.jsx)(t.h3,{id:"visual-question-answering",children:"Visual Question Answering"}),"\n",(0,n.jsx)(t.admonition,{type:"note",children:(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/tasks/visual-question-answering",children:"Visual Question Answering"})," is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions."]})}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/2a915379c573c45234bf03f9150a8133.png",alt:"image-20231031052543037"})}),"\n",(0,n.jsx)(t.h3,{id:"llm-openagents",children:"LLM OpenAgents"}),"\n",(0,n.jsx)(t.p,{children:"XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Data Agent"}),": The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Plugins Agent"}),": The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Web Agent"}),": The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on."]}),"\n"]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/1960d1a546180a884df4a3aa7fd03d9f.png",alt:"image-20231031052746310"})}),"\n",(0,n.jsx)(t.h3,{id:"llm-with-the-clip-onnx",children:"LLM with the CLIP-ONNX"}),"\n",(0,n.jsx)(t.h3,{id:"llm-with-the-captchaagent",children:"LLM with the CaptchaAgent"})]})}function d(e={}){const{wrapper:t}={...(0,i.a)(),...e.components};return t?(0,n.jsx)(t,{...e,children:(0,n.jsx)(c,{...e})}):c(e)}},1151:(e,t,a)=>{a.d(t,{Z:()=>r,a:()=>s});var n=a(7294);const i={},o=n.createContext(i);function s(e){const t=n.useContext(o);return n.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function r(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(i):e.components||i:s(e.components),n.createElement(o.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/b2b675dd.d7640b56.js b/assets/js/b2b675dd.d7640b56.js new file mode 100644 index 0000000..751ec38 --- /dev/null +++ b/assets/js/b2b675dd.d7640b56.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkCaptchaAgent=self.webpackChunkCaptchaAgent||[]).push([[533],{8017:e=>{e.exports=JSON.parse('{"permalink":"/blog","page":1,"postsPerPage":10,"totalPages":1,"totalCount":6,"blogDescription":"Blog","blogTitle":"Blog"}')}}]); \ No newline at end of file diff --git a/assets/js/b2f554cd.23cfb90d.js b/assets/js/b2f554cd.23cfb90d.js new file mode 100644 index 0000000..a71d2d6 --- /dev/null +++ b/assets/js/b2f554cd.23cfb90d.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkCaptchaAgent=self.webpackChunkCaptchaAgent||[]).push([[1477],{10:e=>{e.exports=JSON.parse('{"blogPosts":[{"id":"vit-zero-shot-tasks-1","metadata":{"permalink":"/blog/vit-zero-shot-tasks-1","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/blog/2023-10-22-vit-zero-shot-tasks/index.md","source":"@site/blog/2023-10-22-vit-zero-shot-tasks/index.md","title":"ViT zero-shot image classification","description":"Preview","date":"2023-10-22T00:00:00.000Z","formattedDate":"October 22, 2023","tags":[{"label":"HCI challenge","permalink":"/blog/tags/hci-challenge"}],"readingTime":6.43,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"vit-zero-shot-tasks-1","title":"ViT zero-shot image classification","authors":["QIN2DIM"],"tags":["HCI challenge"],"keywords":["hcaptcha","captcha","YOLOv8","ResNet","object detection","image segmentation","bounding box","clip","vit","huggingface","llm","OpenAgents","automatic image annotation","CaptchaAgent","GPT","ONNX","hcaptca-challenger"]},"unlisted":false,"nextItem":{"title":"Draw a tight bounding box around the X","permalink":"/blog/draw-a-tight-bounding-box-around-the-x"}},"content":"## Preview\\n\\n> [CLIP](https://arxiv.org/abs/2103.00020) is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.\\n>\\n> [-- huggingface.co](https://huggingface.co/docs/transformers/model_doc/clip)\\n\\n![CLIP](https://r2-datalake.echosec.top/blog-obs/2023/10/3958bc6e52d9c3fc1fdabaf17657db76.png)\\n\\n## Milestone\\n\\n:::info\\n\\nWe merged a [feature #858](https://github.com/QIN2DIM/hcaptcha-challenger/issues/858) to the main branch of [hcaptcha-challenger](https://github.com/QIN2DIM/hcaptcha-challenger) on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.\\n\\n:::\\n\\nPreviously, we trained and used the [ResNet model](https://github.com/CaptchaAgent/hcaptcha-model-factory/blob/main/src/factories/resnet.py#L28) to handle the image classification challenge. The model network parameters are so small that our [exported](https://pytorch.org/tutorials/beginner/onnx/export_simple_model_to_onnx_tutorial.html) ResNet [ONNX model](https://onnxruntime.ai/) is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images. \\n\\n> But today, in 2023, there are so many key breakthroughs in [Computer Vision](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiahvedm56CAxXEI0QIHQeMBLkQFnoECBkQAQ&url=https%3A%2F%2Fwww.ibm.com%2Ftopics%2Fcomputer-vision&usg=AOvVaw3K4rO-yHQ-RhOQjD0LbKZO&opi=89978449) that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA\ud83d\ude2e.\\n\\nThus, we also designed a [factory workflow](https://github.com/CaptchaAgent/hcaptcha-model-factory/tree/main/automation) based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data. \\n\\nAlthough these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes. \\n\\n## Automatic image annotation\\n\\n:::note\\n\\n[Zero shot image classification](https://huggingface.co/tasks/zero-shot-image-classification) is the task of classifying previously unseen classes during training of a model.\\n\\n:::\\n\\n![image-20231031022847507](https://r2-datalake.echosec.top/blog-obs/2023/10/6dcf0cdc5089fa33fae236ab7ab4a951.png)\\n\\nWe have been using CLIP in the factory workflow for [automatic image annotation](https://en.wikipedia.org/wiki/Automatic_image_annotation) tasks since 2022, and at that time, the accuracy of [the best CLIP model](https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_classification_results.csv) in dealing with [zero-shot image classification](https://huggingface.co/tasks/zero-shot-image-classification) was not satisfactory, but it was very useful for saving your time.\\n\\nIf I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you\'re going to need a processing environment that\'s just right or you\'re going to have a very slow process.\\n\\nWith CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores. \\n\\n![Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1](https://r2-datalake.echosec.top/blog-obs/2023/10/450ca5abdc2de3401c8f687d6952ffb2.jpg)\\n\\nIt may seem like a bit of a contradiction in terms. But if you\'ve had this experience, you should know the difficulty of <u>multi-categorizing a bunch of cluttered images</u> is quite different for human attention than <u>identifying outliers in a bunch of images with similar overall characteristics</u>.\\n\\n## Dilemmas and breakthroughs\\n\\nAt the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don\'t rely on pytorch and GPUs?\\n\\nThis question stumped me. So much so that as projects like [clip-as-service](https://github.com/jina-ai/clip-as-service) started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.\ud83e\udd79\\n\\nNote that you don\'t need much configuration to run the CLIP model, in the case of `RN50.openai` you only need up to 500MB of RAM to run it, and we\'re just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can\'t possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.\\n\\nWith breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. [\u21aa\ufe0fbenchmarks](https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_results.csv)\\n\\n> - [CLIP](https://huggingface.co/docs/transformers/main/en/model_doc/clip) supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like \\"a picture of {}\\". The expectation is to get the category label as the answer.\\n> - [OWL-ViT](https://huggingface.co/docs/transformers/main/en/model_doc/owlvit) allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn\'t learn to detect them during training! You can refer to [this notebook](https://github.com/huggingface/notebooks/tree/main/examples#:~:text=zeroshot_object_detection_with_owlvit.ipynb) to learn more.\\n> - [CLIPSeg](https://huggingface.co/docs/transformers/model_doc/clipseg) supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn\'t learn to segment them during training! You can refer to [this blog post](https://huggingface.co/blog/clipseg-zero-shot) that illustrates this idea. [GroupViT](https://huggingface.co/docs/transformers/model_doc/groupvit) also supports zero-shot segmentation.\\n> - [X-CLIP](https://huggingface.co/docs/transformers/main/en/model_doc/xclip) Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out [this notebook](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Zero_shot_classify_a_YouTube_video_with_X_CLIP.ipynb) for more details.\\n\\nAt the same time, the higher the model\'s score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don\'t process fast enough on the CPU.\\n\\nIn the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.\\n\\nThat is, it specializes in a combination of abilities we don\'t yet need, but for which it can do things, we have better options in the moment.\\n\\nIt is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. [mobilenetv3](https://huggingface.co/timm/mobilenetv3_large_100.ra_in1k) and [EVA-02](https://github.com/baaivision/EVA/tree/master/EVA-02/asuka)) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. [\u21aa\ufe0fbenchmarks](https://github.com/huggingface/pytorch-image-models/blob/main/results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv)\\n\\n![radar](https://r2-datalake.echosec.top/blog-obs/2023/10/d101ab93a2687bf69889c2b38cc62541.png)![summary_tab](https://r2-datalake.echosec.top/blog-obs/2023/10/8bf027fff3915204cd10e2bb7f2bc4d6.png)\\n\\n## Scenarios for the CLIP-ONNX\\n\\nAs we mentioned earlier, for the automatic image annotation and remote service scenarios, we don\'t need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance. \\n\\nIt is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?\\n\\n\ud83d\udea7\\n\\n## The generation of the LLM\\n\\n### Visual Question Answering\\n\\n:::note\\n\\n[Visual Question Answering](https://huggingface.co/tasks/visual-question-answering) is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.\\n\\n:::\\n\\n![image-20231031052543037](https://r2-datalake.echosec.top/blog-obs/2023/10/2a915379c573c45234bf03f9150a8133.png)\\n\\n### LLM OpenAgents\\n\\nXLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:\\n\\n- **Data Agent**: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.\\n- **Plugins Agent**: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.\\n- **Web Agent**: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.\\n\\n![image-20231031052746310](https://r2-datalake.echosec.top/blog-obs/2023/10/1960d1a546180a884df4a3aa7fd03d9f.png)\\n\\n### LLM with the CLIP-ONNX\\n\\n### LLM with the CaptchaAgent"},{"id":"draw-a-tight-bounding-box-around-the-x","metadata":{"permalink":"/blog/draw-a-tight-bounding-box-around-the-x","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md","source":"@site/blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md","title":"Draw a tight bounding box around the X","description":"Milestone","date":"2023-08-28T00:00:00.000Z","formattedDate":"August 28, 2023","tags":[{"label":"HCI challenge","permalink":"/blog/tags/hci-challenge"}],"readingTime":0.34,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"draw-a-tight-bounding-box-around-the-x","title":"Draw a tight bounding box around the X","authors":["QIN2DIM"],"tags":["HCI challenge"],"keywords":["hcaptcha","captcha","YOLOv8","object detection","image segmentation","bounding box","ONNX","hcaptca-challenger"]},"unlisted":false,"prevItem":{"title":"ViT zero-shot image classification","permalink":"/blog/vit-zero-shot-tasks-1"},"nextItem":{"title":"Please click on the X","permalink":"/blog/please-click-on-the-x"}},"content":"## Milestone\\n\\n[[Challenge] Draw a tight bounding box around the X #592](https://github.com/QIN2DIM/hcaptcha-challenger/issues/592)\\n\\nSimilar to the [point type challenge](../2023-08-26-please-click-on-the-x/index.md), the principle of both similar challenges is object detection.\\n\\nHowever, the output of the `bounding box` method changes from the coordinates of the center point of the bounding box to the start and end points.\\n\\n```yaml\\nprompt: Draw a tight bounding box around the gu\u0456t\u0430r.\\ntype: bounding box\\n```\\n\\n![263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9](https://r2-datalake.echosec.top/blog-obs/2023/10/a8e4fd61370418f5e35ebdea07f45cba.png)"},{"id":"please-click-on-the-x","metadata":{"permalink":"/blog/please-click-on-the-x","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/blog/2023-08-26-please-click-on-the-x/index.md","source":"@site/blog/2023-08-26-please-click-on-the-x/index.md","title":"Please click on the X","description":"Milestone","date":"2023-08-26T00:00:00.000Z","formattedDate":"August 26, 2023","tags":[{"label":"hCI challenge","permalink":"/blog/tags/h-ci-challenge"}],"readingTime":0.205,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"please-click-on-the-x","title":"Please click on the X","authors":["QIN2DIM"],"tags":["hCI challenge"],"keywords":["hcaptcha","captcha","YOLOv8","object detection","ONNX","hcaptca-challenger"]},"unlisted":false,"prevItem":{"title":"Draw a tight bounding box around the X","permalink":"/blog/draw-a-tight-bounding-box-around-the-x"},"nextItem":{"title":"Bot Revolution 2023","permalink":"/blog/bot-revolution-2023"}},"content":"## Milestone\\n\\n[[Challenge] Please click on the X #588](https://github.com/QIN2DIM/hcaptcha-challenger/issues/588)\\n\\nThis is the first time we have trained the YOLOv8 model to handle a object detection task in a CAPTCHA challenge.\\n\\n```yaml\\nprompt: please click on the elephant\\ntype: point\\n```\\n\\n![263444792-8162bc5c-d13a-471f-84a7-28b22b9f3184](https://r2-datalake.echosec.top/blog-obs/2023/10/edba3bc365ef9057ae647d84877edeaa.png)"},{"id":"bot-revolution-2023","metadata":{"permalink":"/blog/bot-revolution-2023","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/blog/2023-05-15-bot-revolution/index.md","source":"@site/blog/2023-05-15-bot-revolution/index.md","title":"Bot Revolution 2023","description":"You know Who I Am \ud83e\udd16","date":"2023-05-15T00:00:00.000Z","formattedDate":"May 15, 2023","tags":[{"label":"HCI challenge","permalink":"/blog/tags/hci-challenge"}],"readingTime":0.345,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"bot-revolution-2023","title":"Bot Revolution 2023","authors":["QIN2DIM"],"tags":["HCI challenge"],"keywords":["hcaptcha","captcha","YOLOv8","object detection","Visual Question Answering","hcaptca-challenger"]},"unlisted":false,"prevItem":{"title":"Please click on the X","permalink":"/blog/please-click-on-the-x"},"nextItem":{"title":"Can Dogs Smile?","permalink":"/blog/can-dogs-smile"}},"content":"## You know Who I Am \ud83e\udd16\\n\\n![image](https://user-images.githubusercontent.com/62018067/225232056-b31da9d8-02a8-4bf0-adf6-fba10ed8bbb8.png)\\n\\n## Related Challenges\\n\\n- [[*Challenge] image label area select #82](https://github.com/QIN2DIM/hcaptcha-challenger/issues/82)\\n- [[*Challenge] image label multiple choice #176](https://github.com/QIN2DIM/hcaptcha-challenger/issues/176)\\n- [[*Challenge] Draw a tight box around the toilet #236](https://github.com/QIN2DIM/hcaptcha-challenger/issues/236)\\n- [[*Challenge] Word \u039catching #241](https://github.com/QIN2DIM/hcaptcha-challenger/issues/241)\\n- [[*Challenge] Is the highlighted dot on the bigger squirrel? #459](https://github.com/QIN2DIM/hcaptcha-challenger/issues/459)\\n- [[*Challenge] center of the owl\'s head #471](https://github.com/QIN2DIM/hcaptcha-challenger/issues/471)\\n- [[*Challenge] please click the center of the X #479](https://github.com/QIN2DIM/hcaptcha-challenger/issues/479)"},{"id":"can-dogs-smile","metadata":{"permalink":"/blog/can-dogs-smile","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/blog/2022-09-22-can-dogs-smile/index.md","source":"@site/blog/2022-09-22-can-dogs-smile/index.md","title":"Can Dogs Smile?","description":"How Do I Know If My Dog Is Smiling?","date":"2022-09-22T00:00:00.000Z","formattedDate":"September 22, 2022","tags":[{"label":"HCI challenge","permalink":"/blog/tags/hci-challenge"}],"readingTime":1,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"can-dogs-smile","title":"Can Dogs Smile?","authors":["QIN2DIM"],"tags":["HCI challenge"],"description":"How Do I Know If My Dog Is Smiling?","keywords":["hcaptcha","captcha","hcaptca-challenger"]},"unlisted":false,"prevItem":{"title":"Bot Revolution 2023","permalink":"/blog/bot-revolution-2023"},"nextItem":{"title":"How old is that kitten?","permalink":"/blog/how-old-is-that-kitten"}},"content":"![Snipaste_2023-10-31_06-34-58](https://r2-datalake.echosec.top/blog-obs/2023/11/beb1c7ad73b6372814691bbfd9e65603.png)\\n\\n## TL;TD\\n\\n**YES, BUT** it is worth mentioning that the dog is not always \\"smiling\\" when it opens its mouth, they\'re smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.\\n\\nIn the challenge, it doesn\'t really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.\\n\\n## How Do I Know If My Dog Is Smiling?\\n\\nThe ASPCA noted, \\"This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don\'t always mean aggression\u2014it is important to consider the whole body and the context to understand what a dog is saying.\\"\\n\\n## Reading\\n\\n- [Can Dogs Actually Smile? | Hill\'s Pet](https://www.hillspet.com/dog-care/behavior-appearance/can-dogs-smile)\\n- [Can Dogs Smile? | Blog - hCaptcha](https://www.hcaptcha.com/post/can-dogs-smile)\\n\\n## Related work\\n\\n- [[Challenge] smiling \u0501og #87](https://github.com/QIN2DIM/hcaptcha-challenger/issues/87)\\n- [[Challenge] dog with closed eyes #98](https://github.com/QIN2DIM/hcaptcha-challenger/issues/98)\\n- [[Challenge] dog without a collar #115](https://github.com/QIN2DIM/hcaptcha-challenger/issues/115)\\n- [[Challenge] dog with a collar on its neck #113](https://github.com/QIN2DIM/hcaptcha-challenger/issues/113)"},{"id":"how-old-is-that-kitten","metadata":{"permalink":"/blog/how-old-is-that-kitten","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/blog/2022-08-30-how-old-is-that-kitten/index.md","source":"@site/blog/2022-08-30-how-old-is-that-kitten/index.md","title":"How old is that kitten?","description":"Cat Age Chart with Pictures","date":"2022-08-30T00:00:00.000Z","formattedDate":"August 30, 2022","tags":[{"label":"HCI challenge","permalink":"/blog/tags/hci-challenge"}],"readingTime":0.355,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"how-old-is-that-kitten","title":"How old is that kitten?","authors":["QIN2DIM"],"tags":["HCI challenge"],"image":"7d524620139047c35387c20e1e8ab9e2-1.png","keywords":["hcaptcha","captcha","hcaptca-challenger"]},"unlisted":false,"prevItem":{"title":"Can Dogs Smile?","permalink":"/blog/can-dogs-smile"}},"content":"## Cat Age Chart with Pictures\\n\\n[Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies](https://www.alleycat.org/resources/kitten-progression/)\\n\\n![7d524620139047c35387c20e1e8ab9e2-1](https://r2-datalake.echosec.top/blog-obs/2023/10/00a48bda62e3acbac8ea005075bb0c5f.jpg)\\n\\n## Related work\\n\\n- [[Challenge] adult cat #163](https://github.com/QIN2DIM/hcaptcha-challenger/issues/163)\\n- [[Challenge] cat with large, rounded head #158](https://github.com/QIN2DIM/hcaptcha-challenger/issues/158)\\n- [[Challenge] kitten #156](https://github.com/QIN2DIM/hcaptcha-challenger/issues/156)\\n- [[Challenge] cat with long hair #150](https://github.com/QIN2DIM/hcaptcha-challenger/issues/150)\\n- [[Challenge] cat with short hair #148](https://github.com/QIN2DIM/hcaptcha-challenger/issues/148)\\n- [[Challenge] cat with thick fur #146](https://github.com/QIN2DIM/hcaptcha-challenger/issues/146)\\n- [[Challenge] baby cat #142](https://github.com/QIN2DIM/hcaptcha-challenger/issues/142)\\n- [[Challenge] Domestic Cat #68](https://github.com/QIN2DIM/hcaptcha-challenger/issues/68)"}]}')}}]); 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It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score."]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/clip",children:"-- huggingface.co"})}),"\n"]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/3958bc6e52d9c3fc1fdabaf17657db76.png",alt:"CLIP"})}),"\n",(0,n.jsx)(t.h2,{id:"milestone",children:"Milestone"}),"\n",(0,n.jsx)(t.admonition,{type:"info",children:(0,n.jsxs)(t.p,{children:["We merged a ",(0,n.jsx)(t.a,{href:"https://github.com/QIN2DIM/hcaptcha-challenger/issues/858",children:"feature #858"})," to the main branch of ",(0,n.jsx)(t.a,{href:"https://github.com/QIN2DIM/hcaptcha-challenger",children:"hcaptcha-challenger"})," on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model."]})}),"\n",(0,n.jsxs)(t.p,{children:["Previously, we trained and used the ",(0,n.jsx)(t.a,{href:"https://github.com/CaptchaAgent/hcaptcha-model-factory/blob/main/src/factories/resnet.py#L28",children:"ResNet model"})," to handle the image classification challenge. The model network parameters are so small that our ",(0,n.jsx)(t.a,{href:"https://pytorch.org/tutorials/beginner/onnx/export_simple_model_to_onnx_tutorial.html",children:"exported"})," ResNet ",(0,n.jsx)(t.a,{href:"https://onnxruntime.ai/",children:"ONNX model"})," is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images."]}),"\n",(0,n.jsxs)(t.blockquote,{children:["\n",(0,n.jsxs)(t.p,{children:["But today, in 2023, there are so many key breakthroughs in ",(0,n.jsx)(t.a,{href:"https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiahvedm56CAxXEI0QIHQeMBLkQFnoECBkQAQ&url=https%3A%2F%2Fwww.ibm.com%2Ftopics%2Fcomputer-vision&usg=AOvVaw3K4rO-yHQ-RhOQjD0LbKZO&opi=89978449",children:"Computer Vision"})," that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA\ud83d\ude2e."]}),"\n"]}),"\n",(0,n.jsxs)(t.p,{children:["Thus, we also designed a ",(0,n.jsx)(t.a,{href:"https://github.com/CaptchaAgent/hcaptcha-model-factory/tree/main/automation",children:"factory workflow"})," based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data."]}),"\n",(0,n.jsx)(t.p,{children:"Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes."}),"\n",(0,n.jsx)(t.h2,{id:"automatic-image-annotation",children:"Automatic image annotation"}),"\n",(0,n.jsx)(t.admonition,{type:"note",children:(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/tasks/zero-shot-image-classification",children:"Zero shot image classification"})," is the task of classifying previously unseen classes during training of a model."]})}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/6dcf0cdc5089fa33fae236ab7ab4a951.png",alt:"image-20231031022847507"})}),"\n",(0,n.jsxs)(t.p,{children:["We have been using CLIP in the factory workflow for ",(0,n.jsx)(t.a,{href:"https://en.wikipedia.org/wiki/Automatic_image_annotation",children:"automatic image annotation"})," tasks since 2022, and at that time, the accuracy of ",(0,n.jsx)(t.a,{href:"https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_classification_results.csv",children:"the best CLIP model"})," in dealing with ",(0,n.jsx)(t.a,{href:"https://huggingface.co/tasks/zero-shot-image-classification",children:"zero-shot image classification"})," was not satisfactory, but it was very useful for saving your time."]}),"\n",(0,n.jsx)(t.p,{children:"If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process."}),"\n",(0,n.jsx)(t.p,{children:"With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores."}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/450ca5abdc2de3401c8f687d6952ffb2.jpg",alt:"Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1"})}),"\n",(0,n.jsxs)(t.p,{children:["It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of ",(0,n.jsx)("u",{children:"multi-categorizing a bunch of cluttered images"})," is quite different for human attention than ",(0,n.jsx)("u",{children:"identifying outliers in a bunch of images with similar overall characteristics"}),"."]}),"\n",(0,n.jsx)(t.h2,{id:"dilemmas-and-breakthroughs",children:"Dilemmas and breakthroughs"}),"\n",(0,n.jsx)(t.p,{children:"At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?"}),"\n",(0,n.jsxs)(t.p,{children:["This question stumped me. So much so that as projects like ",(0,n.jsx)(t.a,{href:"https://github.com/jina-ai/clip-as-service",children:"clip-as-service"})," started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.\ud83e\udd79"]}),"\n",(0,n.jsxs)(t.p,{children:["Note that you don't need much configuration to run the CLIP model, in the case of ",(0,n.jsx)(t.code,{children:"RN50.openai"})," you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time."]}),"\n",(0,n.jsxs)(t.p,{children:["With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ",(0,n.jsx)(t.a,{href:"https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_results.csv",children:"\u21aa\ufe0fbenchmarks"})]}),"\n",(0,n.jsxs)(t.blockquote,{children:["\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/clip",children:"CLIP"}),' supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ','". The expectation is to get the category label as the answer.']}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/owlvit",children:"OWL-ViT"})," allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to ",(0,n.jsx)(t.a,{href:"https://github.com/huggingface/notebooks/tree/main/examples#:~:text=zeroshot_object_detection_with_owlvit.ipynb",children:"this notebook"})," to learn more."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/clipseg",children:"CLIPSeg"})," supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to ",(0,n.jsx)(t.a,{href:"https://huggingface.co/blog/clipseg-zero-shot",children:"this blog post"})," that illustrates this idea. ",(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/groupvit",children:"GroupViT"})," also supports zero-shot segmentation."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/xclip",children:"X-CLIP"})," Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out ",(0,n.jsx)(t.a,{href:"https://github.com/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Zero_shot_classify_a_YouTube_video_with_X_CLIP.ipynb",children:"this notebook"})," for more details."]}),"\n"]}),"\n"]}),"\n",(0,n.jsx)(t.p,{children:"At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU."}),"\n",(0,n.jsx)(t.p,{children:"In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide."}),"\n",(0,n.jsx)(t.p,{children:"That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment."}),"\n",(0,n.jsxs)(t.p,{children:["It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. ",(0,n.jsx)(t.a,{href:"https://huggingface.co/timm/mobilenetv3_large_100.ra_in1k",children:"mobilenetv3"})," and ",(0,n.jsx)(t.a,{href:"https://github.com/baaivision/EVA/tree/master/EVA-02/asuka",children:"EVA-02"}),") that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ",(0,n.jsx)(t.a,{href:"https://github.com/huggingface/pytorch-image-models/blob/main/results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv",children:"\u21aa\ufe0fbenchmarks"})]}),"\n",(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/d101ab93a2687bf69889c2b38cc62541.png",alt:"radar"}),(0,n.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/8bf027fff3915204cd10e2bb7f2bc4d6.png",alt:"summary_tab"})]}),"\n",(0,n.jsx)(t.h2,{id:"scenarios-for-the-clip-onnx",children:"Scenarios for the CLIP-ONNX"}),"\n",(0,n.jsx)(t.p,{children:"As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance."}),"\n",(0,n.jsx)(t.p,{children:"It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?"}),"\n",(0,n.jsx)(t.p,{children:"\ud83d\udea7"}),"\n",(0,n.jsx)(t.h2,{id:"the-generation-of-the-llm",children:"The generation of the LLM"}),"\n",(0,n.jsx)(t.h3,{id:"visual-question-answering",children:"Visual Question Answering"}),"\n",(0,n.jsx)(t.admonition,{type:"note",children:(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.a,{href:"https://huggingface.co/tasks/visual-question-answering",children:"Visual Question Answering"})," is the task of answering open-ended questions based on an image. 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[require.resolve('@docusaurus/core/lib/babel/preset')], -}; diff --git a/blog/2022-08-30-how-old-is-that-kitten/index.md b/blog/2022-08-30-how-old-is-that-kitten/index.md deleted file mode 100644 index dedcd42..0000000 --- a/blog/2022-08-30-how-old-is-that-kitten/index.md +++ /dev/null @@ -1,28 +0,0 @@ ---- -slug: how-old-is-that-kitten -title: How old is that kitten? -authors: [QIN2DIM] -tags: [HCI challenge] -image: 7d524620139047c35387c20e1e8ab9e2-1.png -keywords: - - hcaptcha - - captcha - - hcaptca-challenger ---- - -## Cat Age Chart with Pictures - -[Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies](https://www.alleycat.org/resources/kitten-progression/) - -![7d524620139047c35387c20e1e8ab9e2-1](https://r2-datalake.echosec.top/blog-obs/2023/10/00a48bda62e3acbac8ea005075bb0c5f.jpg) - -## Related work - -- [[Challenge] adult cat #163](https://github.com/QIN2DIM/hcaptcha-challenger/issues/163) -- [[Challenge] cat with large, rounded head #158](https://github.com/QIN2DIM/hcaptcha-challenger/issues/158) -- [[Challenge] kitten #156](https://github.com/QIN2DIM/hcaptcha-challenger/issues/156) -- [[Challenge] cat with long hair #150](https://github.com/QIN2DIM/hcaptcha-challenger/issues/150) -- [[Challenge] cat with short hair #148](https://github.com/QIN2DIM/hcaptcha-challenger/issues/148) -- [[Challenge] cat with thick fur #146](https://github.com/QIN2DIM/hcaptcha-challenger/issues/146) -- [[Challenge] baby cat #142](https://github.com/QIN2DIM/hcaptcha-challenger/issues/142) -- [[Challenge] Domestic Cat #68](https://github.com/QIN2DIM/hcaptcha-challenger/issues/68) \ No newline at end of file diff --git a/blog/2022-09-22-can-dogs-smile/Snipaste_2023-10-31_06-34-58.png b/blog/2022-09-22-can-dogs-smile/Snipaste_2023-10-31_06-34-58.png deleted file mode 100644 index e82fc35..0000000 Binary files a/blog/2022-09-22-can-dogs-smile/Snipaste_2023-10-31_06-34-58.png and /dev/null differ diff --git a/blog/2022-09-22-can-dogs-smile/index.md b/blog/2022-09-22-can-dogs-smile/index.md deleted file mode 100644 index 7f4bf6c..0000000 --- a/blog/2022-09-22-can-dogs-smile/index.md +++ /dev/null @@ -1,36 +0,0 @@ ---- -slug: can-dogs-smile -title: Can Dogs Smile? -authors: [QIN2DIM] -tags: [HCI challenge] -description: How Do I Know If My Dog Is Smiling? -keywords: - - hcaptcha - - captcha - - hcaptca-challenger ---- - -![Snipaste_2023-10-31_06-34-58](https://r2-datalake.echosec.top/blog-obs/2023/11/beb1c7ad73b6372814691bbfd9e65603.png) - -## TL;TD - -**YES, BUT** it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior. - -In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling. - -## How Do I Know If My Dog Is Smiling? - -The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying." - -## Reading - -- [Can Dogs Actually Smile? | Hill's Pet](https://www.hillspet.com/dog-care/behavior-appearance/can-dogs-smile) -- [Can Dogs Smile? | Blog - hCaptcha](https://www.hcaptcha.com/post/can-dogs-smile) - -## Related work - -- [[Challenge] smiling ԁog #87](https://github.com/QIN2DIM/hcaptcha-challenger/issues/87) -- [[Challenge] dog with closed eyes #98](https://github.com/QIN2DIM/hcaptcha-challenger/issues/98) -- [[Challenge] dog without a collar #115](https://github.com/QIN2DIM/hcaptcha-challenger/issues/115) -- [[Challenge] dog with a collar on its neck #113](https://github.com/QIN2DIM/hcaptcha-challenger/issues/113) - diff --git a/blog/2023-05-15-bot-revolution/index.md b/blog/2023-05-15-bot-revolution/index.md deleted file mode 100644 index 3bae978..0000000 --- a/blog/2023-05-15-bot-revolution/index.md +++ /dev/null @@ -1,27 +0,0 @@ ---- -slug: bot-revolution-2023 -title: Bot Revolution 2023 -authors: [QIN2DIM] -tags: [HCI challenge] -keywords: - - hcaptcha - - captcha - - YOLOv8 - - object detection - - Visual Question Answering - - hcaptca-challenger ---- - -## You know Who I Am 🤖 - -![image](https://user-images.githubusercontent.com/62018067/225232056-b31da9d8-02a8-4bf0-adf6-fba10ed8bbb8.png) - -## Related Challenges - -- [[*Challenge] image label area select #82](https://github.com/QIN2DIM/hcaptcha-challenger/issues/82) -- [[*Challenge] image label multiple choice #176](https://github.com/QIN2DIM/hcaptcha-challenger/issues/176) -- [[*Challenge] Draw a tight box around the toilet #236](https://github.com/QIN2DIM/hcaptcha-challenger/issues/236) -- [[*Challenge] Word Μatching #241](https://github.com/QIN2DIM/hcaptcha-challenger/issues/241) -- [[*Challenge] Is the highlighted dot on the bigger squirrel? #459](https://github.com/QIN2DIM/hcaptcha-challenger/issues/459) -- [[*Challenge] center of the owl's head #471](https://github.com/QIN2DIM/hcaptcha-challenger/issues/471) -- [[*Challenge] please click the center of the X #479](https://github.com/QIN2DIM/hcaptcha-challenger/issues/479) \ No newline at end of file diff --git a/blog/2023-08-26-please-click-on-the-x/index.md b/blog/2023-08-26-please-click-on-the-x/index.md deleted file mode 100644 index 1f1369e..0000000 --- a/blog/2023-08-26-please-click-on-the-x/index.md +++ /dev/null @@ -1,26 +0,0 @@ ---- -slug: please-click-on-the-x -title: Please click on the X -authors: [QIN2DIM] -tags: [hCI challenge] -keywords: - - hcaptcha - - captcha - - YOLOv8 - - object detection - - ONNX - - hcaptca-challenger ---- - -## Milestone - -[[Challenge] Please click on the X #588](https://github.com/QIN2DIM/hcaptcha-challenger/issues/588) - -This is the first time we have trained the YOLOv8 model to handle a object detection task in a CAPTCHA challenge. - -```yaml -prompt: please click on the elephant -type: point -``` - -![263444792-8162bc5c-d13a-471f-84a7-28b22b9f3184](https://r2-datalake.echosec.top/blog-obs/2023/10/edba3bc365ef9057ae647d84877edeaa.png) \ No newline at end of file diff --git a/blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md b/blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md deleted file mode 100644 index f1411a4..0000000 --- a/blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md +++ /dev/null @@ -1,31 +0,0 @@ ---- -slug: draw-a-tight-bounding-box-around-the-x -title: Draw a tight bounding box around the X -authors: [QIN2DIM] -tags: [HCI challenge] -keywords: - - hcaptcha - - captcha - - YOLOv8 - - object detection - - image segmentation - - bounding box - - ONNX - - hcaptca-challenger ---- - -## Milestone - -[[Challenge] Draw a tight bounding box around the X #592](https://github.com/QIN2DIM/hcaptcha-challenger/issues/592) - -Similar to the [point type challenge](../2023-08-26-please-click-on-the-x/index.md), the principle of both similar challenges is object detection. - -However, the output of the `bounding box` method changes from the coordinates of the center point of the bounding box to the start and end points. - -```yaml -prompt: Draw a tight bounding box around the guіtаr. -type: bounding box -``` - -![263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9](https://r2-datalake.echosec.top/blog-obs/2023/10/a8e4fd61370418f5e35ebdea07f45cba.png) - diff --git a/blog/2023-10-22-vit-zero-shot-tasks/index.md b/blog/2023-10-22-vit-zero-shot-tasks/index.md deleted file mode 100644 index 445e48f..0000000 --- a/blog/2023-10-22-vit-zero-shot-tasks/index.md +++ /dev/null @@ -1,127 +0,0 @@ ---- -slug: vit-zero-shot-tasks-1 -title: ViT zero-shot image classification -authors: [QIN2DIM] -tags: [HCI challenge] -keywords: - - hcaptcha - - captcha - - YOLOv8 - - ResNet - - object detection - - image segmentation - - bounding box - - clip - - vit - - huggingface - - llm - - OpenAgents - - automatic image annotation - - CaptchaAgent - - GPT - - ONNX - - hcaptca-challenger ---- - -## Preview - -> [CLIP](https://arxiv.org/abs/2103.00020) is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score. -> -> [-- huggingface.co](https://huggingface.co/docs/transformers/model_doc/clip) - -![CLIP](https://r2-datalake.echosec.top/blog-obs/2023/10/3958bc6e52d9c3fc1fdabaf17657db76.png) - -## Milestone - -:::info - -We merged a [feature #858](https://github.com/QIN2DIM/hcaptcha-challenger/issues/858) to the main branch of [hcaptcha-challenger](https://github.com/QIN2DIM/hcaptcha-challenger) on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model. - -::: - -Previously, we trained and used the [ResNet model](https://github.com/CaptchaAgent/hcaptcha-model-factory/blob/main/src/factories/resnet.py#L28) to handle the image classification challenge. The model network parameters are so small that our [exported](https://pytorch.org/tutorials/beginner/onnx/export_simple_model_to_onnx_tutorial.html) ResNet [ONNX model](https://onnxruntime.ai/) is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images. - -> But today, in 2023, there are so many key breakthroughs in [Computer Vision](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiahvedm56CAxXEI0QIHQeMBLkQFnoECBkQAQ&url=https%3A%2F%2Fwww.ibm.com%2Ftopics%2Fcomputer-vision&usg=AOvVaw3K4rO-yHQ-RhOQjD0LbKZO&opi=89978449) that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮. - -Thus, we also designed a [factory workflow](https://github.com/CaptchaAgent/hcaptcha-model-factory/tree/main/automation) based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data. - -Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes. - -## Automatic image annotation - -:::note - -[Zero shot image classification](https://huggingface.co/tasks/zero-shot-image-classification) is the task of classifying previously unseen classes during training of a model. - -::: - -![image-20231031022847507](https://r2-datalake.echosec.top/blog-obs/2023/10/6dcf0cdc5089fa33fae236ab7ab4a951.png) - -We have been using CLIP in the factory workflow for [automatic image annotation](https://en.wikipedia.org/wiki/Automatic_image_annotation) tasks since 2022, and at that time, the accuracy of [the best CLIP model](https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_classification_results.csv) in dealing with [zero-shot image classification](https://huggingface.co/tasks/zero-shot-image-classification) was not satisfactory, but it was very useful for saving your time. - -If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process. - -With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores. - -![Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1](https://r2-datalake.echosec.top/blog-obs/2023/10/450ca5abdc2de3401c8f687d6952ffb2.jpg) - -It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of <u>multi-categorizing a bunch of cluttered images</u> is quite different for human attention than <u>identifying outliers in a bunch of images with similar overall characteristics</u>. - -## Dilemmas and breakthroughs - -At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs? - -This question stumped me. So much so that as projects like [clip-as-service](https://github.com/jina-ai/clip-as-service) started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹 - -Note that you don't need much configuration to run the CLIP model, in the case of `RN50.openai` you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time. - -With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. [↪️benchmarks](https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_results.csv) - -> - [CLIP](https://huggingface.co/docs/transformers/main/en/model_doc/clip) supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of {}". The expectation is to get the category label as the answer. -> - [OWL-ViT](https://huggingface.co/docs/transformers/main/en/model_doc/owlvit) allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to [this notebook](https://github.com/huggingface/notebooks/tree/main/examples#:~:text=zeroshot_object_detection_with_owlvit.ipynb) to learn more. -> - [CLIPSeg](https://huggingface.co/docs/transformers/model_doc/clipseg) supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to [this blog post](https://huggingface.co/blog/clipseg-zero-shot) that illustrates this idea. [GroupViT](https://huggingface.co/docs/transformers/model_doc/groupvit) also supports zero-shot segmentation. -> - [X-CLIP](https://huggingface.co/docs/transformers/main/en/model_doc/xclip) Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out [this notebook](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Zero_shot_classify_a_YouTube_video_with_X_CLIP.ipynb) for more details. - -At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU. - -In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide. - -That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment. - -It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. [mobilenetv3](https://huggingface.co/timm/mobilenetv3_large_100.ra_in1k) and [EVA-02](https://github.com/baaivision/EVA/tree/master/EVA-02/asuka)) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. [↪️benchmarks](https://github.com/huggingface/pytorch-image-models/blob/main/results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv) - -![radar](https://r2-datalake.echosec.top/blog-obs/2023/10/d101ab93a2687bf69889c2b38cc62541.png)![summary_tab](https://r2-datalake.echosec.top/blog-obs/2023/10/8bf027fff3915204cd10e2bb7f2bc4d6.png) - -## Scenarios for the CLIP-ONNX - -As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance. - -It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX? - -🚧 - -## The generation of the LLM - -### Visual Question Answering - -:::note - -[Visual Question Answering](https://huggingface.co/tasks/visual-question-answering) is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions. - -::: - -![image-20231031052543037](https://r2-datalake.echosec.top/blog-obs/2023/10/2a915379c573c45234bf03f9150a8133.png) - -### LLM OpenAgents - -XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including: - -- **Data Agent**: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks. -- **Plugins Agent**: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities. -- **Web Agent**: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on. - -![image-20231031052746310](https://r2-datalake.echosec.top/blog-obs/2023/10/1960d1a546180a884df4a3aa7fd03d9f.png) - -### LLM with the CLIP-ONNX - -### LLM with the CaptchaAgent \ No newline at end of file diff --git a/blog/archive/index.html b/blog/archive/index.html new file mode 100644 index 0000000..849ccd9 --- /dev/null +++ b/blog/archive/index.html @@ -0,0 +1,18 @@ +<!doctype html> +<html lang="en" dir="ltr" class="plugin-blog plugin-id-default" data-has-hydrated="false"> +<head> +<meta charset="UTF-8"> +<meta name="generator" content="Docusaurus v3.0.0"> +<title data-rh="true">Archive | CaptchaAgent + + + + + + + + + +

Archive

Archive

2023​

2022​

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/blog/atom.xml b/blog/atom.xml new file mode 100644 index 0000000..5d87d69 --- /dev/null +++ b/blog/atom.xml @@ -0,0 +1,195 @@ + + + https://docs.captchax.top/blog + CaptchaAgent Blog + 2023-10-22T00:00:00.000Z + https://github.com/jpmonette/feed + + CaptchaAgent Blog + https://docs.captchax.top/img/favicon2.png + + <![CDATA[ViT zero-shot image classification]]> + https://docs.captchax.top/blog/vit-zero-shot-tasks-1 + + 2023-10-22T00:00:00.000Z + + Preview​ +
+

CLIP is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.

+

-- huggingface.co

+
+

CLIP

+

Milestone​

+
info

We merged a feature #858 to the main branch of hcaptcha-challenger on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.

+

Previously, we trained and used the ResNet model to handle the image classification challenge. The model network parameters are so small that our exported ResNet ONNX model is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images.

+
+

But today, in 2023, there are so many key breakthroughs in Computer Vision that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮.

+
+

Thus, we also designed a factory workflow based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data.

+

Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes.

+

Automatic image annotation​

+
note

Zero shot image classification is the task of classifying previously unseen classes during training of a model.

+

image-20231031022847507

+

We have been using CLIP in the factory workflow for automatic image annotation tasks since 2022, and at that time, the accuracy of the best CLIP model in dealing with zero-shot image classification was not satisfactory, but it was very useful for saving your time.

+

If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process.

+

With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores.

+

Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1

+

It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics.

+

Dilemmas and breakthroughs​

+

At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?

+

This question stumped me. So much so that as projects like clip-as-service started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹

+

Note that you don't need much configuration to run the CLIP model, in the case of RN50.openai you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.

+

With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ↪️benchmarks

+
+
    +
  • CLIP supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ". The expectation is to get the category label as the answer.
    • +
  • OWL-ViT allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to this notebook to learn more.
    • +
  • CLIPSeg supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to this blog post that illustrates this idea. GroupViT also supports zero-shot segmentation.
    • +
  • X-CLIP Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out this notebook for more details.
    • +
+
+

At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU.

+

In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.

+

That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment.

+

It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. mobilenetv3 and EVA-02) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ↪️benchmarks

+

radarsummary_tab

+

Scenarios for the CLIP-ONNX​

+

As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance.

+

It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?

+

🚧

+

The generation of the LLM​

+

Visual Question Answering​

+
note

Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

+

image-20231031052543037

+

LLM OpenAgents​

+

XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:

+
    +
  • Data Agent: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.
    • +
  • Plugins Agent: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.
    • +
  • Web Agent: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.
    • +
+

image-20231031052746310

+

LLM with the CLIP-ONNX​

+

LLM with the CaptchaAgent​

]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[Draw a tight bounding box around the X]]> + https://docs.captchax.top/blog/draw-a-tight-bounding-box-around-the-x + + 2023-08-28T00:00:00.000Z + + Milestone​ +

[Challenge] Draw a tight bounding box around the X #592

+

Similar to the point type challenge, the principle of both similar challenges is object detection.

+

However, the output of the bounding box method changes from the coordinates of the center point of the bounding box to the start and end points.

+
prompt: Draw a tight bounding box around the guіtаr.
type: bounding box
+

263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9

]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[Please click on the X]]> + https://docs.captchax.top/blog/please-click-on-the-x + + 2023-08-26T00:00:00.000Z + + Milestone​ +

[Challenge] Please click on the X #588

+

This is the first time we have trained the YOLOv8 model to handle a object detection task in a CAPTCHA challenge.

+
prompt: please click on the elephant
type: point
+

263444792-8162bc5c-d13a-471f-84a7-28b22b9f3184

]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[Bot Revolution 2023]]> + https://docs.captchax.top/blog/bot-revolution-2023 + + 2023-05-15T00:00:00.000Z + + You know Who I Am 🤖​ +

image

+ +]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[Can Dogs Smile?]]> + https://docs.captchax.top/blog/can-dogs-smile + + 2022-09-22T00:00:00.000Z + + Snipaste_2023-10-31_06-34-58

+

TL;TD​

+

YES, BUT it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.

+

In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.

+

How Do I Know If My Dog Is Smiling?​

+

The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying."

+

Reading​

+ + +]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[How old is that kitten?]]> + https://docs.captchax.top/blog/how-old-is-that-kitten + + 2022-08-30T00:00:00.000Z + + Cat Age Chart with Pictures​ +

Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies

+

7d524620139047c35387c20e1e8ab9e2-1

+ +]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + \ No newline at end of file diff --git a/blog/authors.yml b/blog/authors.yml deleted file mode 100644 index 22c1919..0000000 --- a/blog/authors.yml +++ /dev/null @@ -1,29 +0,0 @@ -endi: - name: Endilie Yacop Sucipto - title: Maintainer of Docusaurus - url: https://github.com/endiliey - image_url: https://github.com/endiliey.png - -yangshun: - name: Yangshun Tay - title: Front End Engineer @ Facebook - url: https://github.com/yangshun - image_url: https://github.com/yangshun.png - -slorber: - name: Sbastien Lorber - title: Docusaurus maintainer - url: https://sebastienlorber.com - image_url: https://github.com/slorber.png - -QIN2DIM: - name: QIN2DIM - title: Maintainer of CaptchaAgent - url: https://github.com/QIN2DIM - image_url: https://github.com/QIN2DIM.png - -Bingjie Yan: - name: Bingjie Yan - title: Maintainer of CaptchaAgent - url: https://www.bj-yan.top/ - image_url: https://github.com/beiyuouo.png diff --git a/blog/bot-revolution-2023/index.html b/blog/bot-revolution-2023/index.html new file mode 100644 index 0000000..b4eee58 --- /dev/null +++ b/blog/bot-revolution-2023/index.html @@ -0,0 +1,29 @@ + + + + + +Bot Revolution 2023 | CaptchaAgent + + + + + + + + + +

Bot Revolution 2023

· One min read
QIN2DIM

You know Who I Am 🤖​

+

image

+ +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/blog/can-dogs-smile/index.html b/blog/can-dogs-smile/index.html new file mode 100644 index 0000000..a81a433 --- /dev/null +++ b/blog/can-dogs-smile/index.html @@ -0,0 +1,35 @@ + + + + + +Can Dogs Smile? | CaptchaAgent + + + + + + + + + +

Can Dogs Smile?

· One min read
QIN2DIM

Snipaste_2023-10-31_06-34-58

+

TL;TD​

+

YES, BUT it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.

+

In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.

+

How Do I Know If My Dog Is Smiling?​

+

The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying."

+

Reading​

+ + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/blog/draw-a-tight-bounding-box-around-the-x/index.html b/blog/draw-a-tight-bounding-box-around-the-x/index.html new file mode 100644 index 0000000..82e4eca --- /dev/null +++ b/blog/draw-a-tight-bounding-box-around-the-x/index.html @@ -0,0 +1,23 @@ + + + + + +Draw a tight bounding box around the X | CaptchaAgent + + + + + + + + + +

Draw a tight bounding box around the X

· One min read
QIN2DIM

Milestone​

+

[Challenge] Draw a tight bounding box around the X #592

+

Similar to the point type challenge, the principle of both similar challenges is object detection.

+

However, the output of the bounding box method changes from the coordinates of the center point of the bounding box to the start and end points.

+
prompt: Draw a tight bounding box around the guіtаr.
type: bounding box
+

263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/blog/how-old-is-that-kitten/index.html b/blog/how-old-is-that-kitten/index.html new file mode 100644 index 0000000..a471638 --- /dev/null +++ b/blog/how-old-is-that-kitten/index.html @@ -0,0 +1,31 @@ + + + + + +How old is that kitten? | CaptchaAgent + + + + + + + + + +

How old is that kitten?

· One min read
QIN2DIM

Cat Age Chart with Pictures​

+

Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies

+

7d524620139047c35387c20e1e8ab9e2-1

+ +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/blog/index.html b/blog/index.html new file mode 100644 index 0000000..35edf35 --- /dev/null +++ b/blog/index.html @@ -0,0 +1,125 @@ + + + + + +Blog | CaptchaAgent + + + + + + + + + +

· 7 min read
QIN2DIM

Preview​

+
+

CLIP is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.

+

-- huggingface.co

+
+

CLIP

+

Milestone​

+
info

We merged a feature #858 to the main branch of hcaptcha-challenger on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.

+

Previously, we trained and used the ResNet model to handle the image classification challenge. The model network parameters are so small that our exported ResNet ONNX model is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images.

+
+

But today, in 2023, there are so many key breakthroughs in Computer Vision that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮.

+
+

Thus, we also designed a factory workflow based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data.

+

Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes.

+

Automatic image annotation​

+
note

Zero shot image classification is the task of classifying previously unseen classes during training of a model.

+

image-20231031022847507

+

We have been using CLIP in the factory workflow for automatic image annotation tasks since 2022, and at that time, the accuracy of the best CLIP model in dealing with zero-shot image classification was not satisfactory, but it was very useful for saving your time.

+

If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process.

+

With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores.

+

Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1

+

It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics.

+

Dilemmas and breakthroughs​

+

At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?

+

This question stumped me. So much so that as projects like clip-as-service started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹

+

Note that you don't need much configuration to run the CLIP model, in the case of RN50.openai you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.

+

With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ↪️benchmarks

+
+
    +
  • CLIP supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ". The expectation is to get the category label as the answer.
    • +
  • OWL-ViT allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to this notebook to learn more.
    • +
  • CLIPSeg supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to this blog post that illustrates this idea. GroupViT also supports zero-shot segmentation.
    • +
  • X-CLIP Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out this notebook for more details.
    • +
+
+

At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU.

+

In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.

+

That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment.

+

It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. mobilenetv3 and EVA-02) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ↪️benchmarks

+

radarsummary_tab

+

Scenarios for the CLIP-ONNX​

+

As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance.

+

It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?

+

🚧

+

The generation of the LLM​

+

Visual Question Answering​

+
note

Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

+

image-20231031052543037

+

LLM OpenAgents​

+

XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:

+
    +
  • Data Agent: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.
    • +
  • Plugins Agent: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.
    • +
  • Web Agent: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.
    • +
+

image-20231031052746310

+

LLM with the CLIP-ONNX​

+

LLM with the CaptchaAgent​

· One min read
QIN2DIM

Milestone​

+

[Challenge] Draw a tight bounding box around the X #592

+

Similar to the point type challenge, the principle of both similar challenges is object detection.

+

However, the output of the bounding box method changes from the coordinates of the center point of the bounding box to the start and end points.

+
prompt: Draw a tight bounding box around the guіtаr.
type: bounding box
+

263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9

· One min read
QIN2DIM

Snipaste_2023-10-31_06-34-58

+

TL;TD​

+

YES, BUT it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.

+

In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.

+

How Do I Know If My Dog Is Smiling?​

+

The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying."

+

Reading​

+ + +

· One min read
QIN2DIM

Cat Age Chart with Pictures​

+

Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies

+

7d524620139047c35387c20e1e8ab9e2-1

+ +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/blog/please-click-on-the-x/index.html b/blog/please-click-on-the-x/index.html new file mode 100644 index 0000000..256b6b7 --- /dev/null +++ b/blog/please-click-on-the-x/index.html @@ -0,0 +1,22 @@ + + + + + +Please click on the X | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/blog/rss.xml b/blog/rss.xml new file mode 100644 index 0000000..bd3346c --- /dev/null +++ b/blog/rss.xml @@ -0,0 +1,173 @@ + + + + CaptchaAgent Blog + https://docs.captchax.top/blog + CaptchaAgent Blog + Sun, 22 Oct 2023 00:00:00 GMT + https://validator.w3.org/feed/docs/rss2.html + https://github.com/jpmonette/feed + en + + <![CDATA[ViT zero-shot image classification]]> + https://docs.captchax.top/blog/vit-zero-shot-tasks-1 + https://docs.captchax.top/blog/vit-zero-shot-tasks-1 + Sun, 22 Oct 2023 00:00:00 GMT + + Preview​ +
+

CLIP is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.

+

-- huggingface.co

+
+

CLIP

+

Milestone​

+
info

We merged a feature #858 to the main branch of hcaptcha-challenger on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.

+

Previously, we trained and used the ResNet model to handle the image classification challenge. The model network parameters are so small that our exported ResNet ONNX model is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images.

+
+

But today, in 2023, there are so many key breakthroughs in Computer Vision that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮.

+
+

Thus, we also designed a factory workflow based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data.

+

Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes.

+

Automatic image annotation​

+
note

Zero shot image classification is the task of classifying previously unseen classes during training of a model.

+

image-20231031022847507

+

We have been using CLIP in the factory workflow for automatic image annotation tasks since 2022, and at that time, the accuracy of the best CLIP model in dealing with zero-shot image classification was not satisfactory, but it was very useful for saving your time.

+

If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process.

+

With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores.

+

Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1

+

It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics.

+

Dilemmas and breakthroughs​

+

At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?

+

This question stumped me. So much so that as projects like clip-as-service started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹

+

Note that you don't need much configuration to run the CLIP model, in the case of RN50.openai you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.

+

With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ↪️benchmarks

+
+
    +
  • CLIP supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ". The expectation is to get the category label as the answer.
    • +
  • OWL-ViT allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to this notebook to learn more.
    • +
  • CLIPSeg supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to this blog post that illustrates this idea. GroupViT also supports zero-shot segmentation.
    • +
  • X-CLIP Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out this notebook for more details.
    • +
+
+

At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU.

+

In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.

+

That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment.

+

It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. mobilenetv3 and EVA-02) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ↪️benchmarks

+

radarsummary_tab

+

Scenarios for the CLIP-ONNX​

+

As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance.

+

It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?

+

🚧

+

The generation of the LLM​

+

Visual Question Answering​

+
note

Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

+

image-20231031052543037

+

LLM OpenAgents​

+

XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:

+
    +
  • Data Agent: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.
    • +
  • Plugins Agent: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.
    • +
  • Web Agent: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.
    • +
+

image-20231031052746310

+

LLM with the CLIP-ONNX​

+

LLM with the CaptchaAgent​

]]> + HCI challenge + + + <![CDATA[Draw a tight bounding box around the X]]> + https://docs.captchax.top/blog/draw-a-tight-bounding-box-around-the-x + https://docs.captchax.top/blog/draw-a-tight-bounding-box-around-the-x + Mon, 28 Aug 2023 00:00:00 GMT + + Milestone​ +

[Challenge] Draw a tight bounding box around the X #592

+

Similar to the point type challenge, the principle of both similar challenges is object detection.

+

However, the output of the bounding box method changes from the coordinates of the center point of the bounding box to the start and end points.

+
prompt: Draw a tight bounding box around the guіtаr.
type: bounding box
+

263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9

]]> + HCI challenge + + + <![CDATA[Please click on the X]]> + https://docs.captchax.top/blog/please-click-on-the-x + https://docs.captchax.top/blog/please-click-on-the-x + Sat, 26 Aug 2023 00:00:00 GMT + + Milestone​ +

[Challenge] Please click on the X #588

+

This is the first time we have trained the YOLOv8 model to handle a object detection task in a CAPTCHA challenge.

+
prompt: please click on the elephant
type: point
+

263444792-8162bc5c-d13a-471f-84a7-28b22b9f3184

]]> + hCI challenge + + + <![CDATA[Bot Revolution 2023]]> + https://docs.captchax.top/blog/bot-revolution-2023 + https://docs.captchax.top/blog/bot-revolution-2023 + Mon, 15 May 2023 00:00:00 GMT + + You know Who I Am 🤖​ +

image

+ +]]> + HCI challenge + + + <![CDATA[Can Dogs Smile?]]> + https://docs.captchax.top/blog/can-dogs-smile + https://docs.captchax.top/blog/can-dogs-smile + Thu, 22 Sep 2022 00:00:00 GMT + + Snipaste_2023-10-31_06-34-58

+

TL;TD​

+

YES, BUT it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.

+

In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.

+

How Do I Know If My Dog Is Smiling?​

+

The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying."

+

Reading​

+ + +]]> + HCI challenge + + + <![CDATA[How old is that kitten?]]> + https://docs.captchax.top/blog/how-old-is-that-kitten + https://docs.captchax.top/blog/how-old-is-that-kitten + Tue, 30 Aug 2022 00:00:00 GMT + + Cat Age Chart with Pictures​ +

Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies

+

7d524620139047c35387c20e1e8ab9e2-1

+ +]]> + HCI challenge + + + \ No newline at end of file diff --git a/blog/tags/h-ci-challenge/index.html b/blog/tags/h-ci-challenge/index.html new file mode 100644 index 0000000..01403e6 --- /dev/null +++ b/blog/tags/h-ci-challenge/index.html @@ -0,0 +1,22 @@ + + + + + +One post tagged with "hCI challenge" | CaptchaAgent + + + + + + + + + +

One post tagged with "hCI challenge"

View All Tags
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/blog/tags/hci-challenge/index.html b/blog/tags/hci-challenge/index.html new file mode 100644 index 0000000..e93f759 Binary files /dev/null and b/blog/tags/hci-challenge/index.html differ diff --git a/blog/tags/index.html b/blog/tags/index.html new file mode 100644 index 0000000..e2fb785 --- /dev/null +++ b/blog/tags/index.html @@ -0,0 +1,18 @@ + + + + + +Tags | CaptchaAgent + + + + + + + + + +

Tags

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/blog/vit-zero-shot-tasks-1/index.html b/blog/vit-zero-shot-tasks-1/index.html new file mode 100644 index 0000000..1d81ddc --- /dev/null +++ b/blog/vit-zero-shot-tasks-1/index.html @@ -0,0 +1,75 @@ + + + + + +ViT zero-shot image classification | CaptchaAgent + + + + + + + + + +

ViT zero-shot image classification

· 7 min read
QIN2DIM

Preview​

+
+

CLIP is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.

+

-- huggingface.co

+
+

CLIP

+

Milestone​

+
info

We merged a feature #858 to the main branch of hcaptcha-challenger on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.

+

Previously, we trained and used the ResNet model to handle the image classification challenge. The model network parameters are so small that our exported ResNet ONNX model is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images.

+
+

But today, in 2023, there are so many key breakthroughs in Computer Vision that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮.

+
+

Thus, we also designed a factory workflow based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data.

+

Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes.

+

Automatic image annotation​

+
note

Zero shot image classification is the task of classifying previously unseen classes during training of a model.

+

image-20231031022847507

+

We have been using CLIP in the factory workflow for automatic image annotation tasks since 2022, and at that time, the accuracy of the best CLIP model in dealing with zero-shot image classification was not satisfactory, but it was very useful for saving your time.

+

If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process.

+

With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores.

+

Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1

+

It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics.

+

Dilemmas and breakthroughs​

+

At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?

+

This question stumped me. So much so that as projects like clip-as-service started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹

+

Note that you don't need much configuration to run the CLIP model, in the case of RN50.openai you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.

+

With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ↪️benchmarks

+
+
    +
  • CLIP supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ". The expectation is to get the category label as the answer.
    • +
  • OWL-ViT allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to this notebook to learn more.
    • +
  • CLIPSeg supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to this blog post that illustrates this idea. GroupViT also supports zero-shot segmentation.
    • +
  • X-CLIP Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out this notebook for more details.
    • +
+
+

At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU.

+

In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.

+

That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment.

+

It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. mobilenetv3 and EVA-02) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ↪️benchmarks

+

radarsummary_tab

+

Scenarios for the CLIP-ONNX​

+

As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance.

+

It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?

+

🚧

+

The generation of the LLM​

+

Visual Question Answering​

+
note

Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

+

image-20231031052543037

+

LLM OpenAgents​

+

XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:

+
    +
  • Data Agent: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.
    • +
  • Plugins Agent: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.
    • +
  • Web Agent: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.
    • +
+

image-20231031052746310

+

LLM with the CLIP-ONNX​

+

LLM with the CaptchaAgent​

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/01-intro.md b/docs/01-intro.md deleted file mode 100644 index 3056352..0000000 --- a/docs/01-intro.md +++ /dev/null @@ -1,17 +0,0 @@ ---- -sidebar_position: 1 -title: Introduction ---- - - -# Introduction - -:::info - -🚧 Work In progress ... - -> [Get started ‐ Library ](https://github.com/QIN2DIM/hcaptcha-challenger/wiki/Get-started-‐-Library) - -::: - -![](https://r2-datalake.echosec.top/blog-obs/2023/10/e06566e498ebfd9e1fee918f97d3cd4d.gif) diff --git a/docs/community/01-readme.md b/docs/community/01-readme.md deleted file mode 100644 index 2f2d794..0000000 --- a/docs/community/01-readme.md +++ /dev/null @@ -1,29 +0,0 @@ ---- -title: Happy beginnings -description: Harmonious and friendly open community ---- - -## README - -We believe that CaptchaAgent has a different audience than the current solver service. It's entirely possible that you'll only need a third-party solver and won't need to deploy CaptchaAgent locally. - -But all in all, we are pursuing a purely geeky approach and trying to explore the potential and future of the CAPTCHA industry from the perspective of "industry, academia, and research" in the LLM dynasty. - -CaptchaAgent will be a public service project for a long time to come. If you are interested in CV / NLP / HCI and CAPTCHA, please feel free to join us. - -If you are a developer who is not good at AI for the time being, please don't be stingy with your opinions, you can put forward any reasonable needs and suggestions to help us broaden the boundaries capabilities of the CaptchaAgent. - -If you are an AI researcher working on Visual Question Answering or a practitioner in the CAPTCHA field, we can discuss possible future patterns of CAPTCHA and ANTI-CAPTCHA in various domains. - -Examples: - -- The human-computer interaction challenge of CAPTCHA in virtual reality scenarios; -- Sensorless verification system based on IoT devices; -- The multi-factor verification process; -- The possibility of real-name verification to be implemented in the so call western democracies; -- The possibility of LLM to disrupt all the verification challenges; -- How to design an efficient combination of multiple modalities for the verification challenges. - -- The possibility of CAPTCHA as a military weapon in the future of cyber public opinion, and how the boundaries between CAPTCHA and cyber offense and defense should be defined in future cyber activities. - -- Finally, CAPTCHA becomes a possible scenario for pseudo-requirements in future network activities. \ No newline at end of file diff --git a/docs/community/index.html b/docs/community/index.html new file mode 100644 index 0000000..a6c8911 --- /dev/null +++ b/docs/community/index.html @@ -0,0 +1,18 @@ + + + + + +Community | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/community/index.md b/docs/community/index.md deleted file mode 100644 index 9c14368..0000000 --- a/docs/community/index.md +++ /dev/null @@ -1,9 +0,0 @@ ---- -title: Community -sidebar_position: 100 - ---- - -import DocCardList from '@theme/DocCardList'; - - \ No newline at end of file diff --git a/docs/community/readme/index.html b/docs/community/readme/index.html new file mode 100644 index 0000000..015ad72 --- /dev/null +++ b/docs/community/readme/index.html @@ -0,0 +1,50 @@ + + + + + +Happy beginnings | CaptchaAgent + + + + + + + + + +

Happy beginnings

README​

+

We believe that CaptchaAgent has a different audience than the current solver service. It's entirely possible that you'll only need a third-party solver and won't need to deploy CaptchaAgent locally.

+

But all in all, we are pursuing a purely geeky approach and trying to explore the potential and future of the CAPTCHA industry from the perspective of "industry, academia, and research" in the LLM dynasty.

+

CaptchaAgent will be a public service project for a long time to come. If you are interested in CV / NLP / HCI and CAPTCHA, please feel free to join us.

+

If you are a developer who is not good at AI for the time being, please don't be stingy with your opinions, you can put forward any reasonable needs and suggestions to help us broaden the boundaries capabilities of the CaptchaAgent.

+

If you are an AI researcher working on Visual Question Answering or a practitioner in the CAPTCHA field, we can discuss possible future patterns of CAPTCHA and ANTI-CAPTCHA in various domains.

+

Examples:

+
    +
  • +

    The human-computer interaction challenge of CAPTCHA in virtual reality scenarios;

    +
    • +
  • +

    Sensorless verification system based on IoT devices;

    +
    • +
  • +

    The multi-factor verification process;

    +
    • +
  • +

    The possibility of real-name verification to be implemented in the so call western democracies;

    +
    • +
  • +

    The possibility of LLM to disrupt all the verification challenges;

    +
    • +
  • +

    How to design an efficient combination of multiple modalities for the verification challenges.

    +
    • +
  • +

    The possibility of CAPTCHA as a military weapon in the future of cyber public opinion, and how the boundaries between CAPTCHA and cyber offense and defense should be defined in future cyber activities.

    +
    • +
  • +

    Finally, CAPTCHA becomes a possible scenario for pseudo-requirements in future network activities.

    +
    • +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/examples/01-automatic-image-annotation.md b/docs/examples/01-automatic-image-annotation.md deleted file mode 100644 index 7ea777b..0000000 --- a/docs/examples/01-automatic-image-annotation.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Automatic Image Annotation -description: Essential steps for batch production deep learning models ---- - diff --git a/docs/examples/02-self-supervised-challenge.md b/docs/examples/02-self-supervised-challenge.md deleted file mode 100644 index 56b1f7c..0000000 --- a/docs/examples/02-self-supervised-challenge.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Self-Supervised Challenge -description: 5 lines of code to implement a self-supervised image binary challenge ---- - diff --git a/docs/examples/05-integration-with-discord-gen.md b/docs/examples/05-integration-with-discord-gen.md deleted file mode 100644 index 03f3fdc..0000000 --- a/docs/examples/05-integration-with-discord-gen.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Discord GEN -description: It's your concern. ---- - -## Introduction - -CaptchaAgent allows you to run model inference tasks locally. That means you can process hundreds of images in seconds while performing ultra-concurrent computer vision tasks (such as image classification, object detection, and image segmentation). - -For instance, you don't need to use any outside solver services to implement your own CAPTCHA-specific solver. This eliminates the need for you to wait tens or even hundreds of seconds in line or share queues with other people. Everything is processed in real time here. - -In addition, we converted all ModelHub models to ONNX format. At the same time, downstream tasks use `onnxruntime` to run inference tasks, allowing you to run AI models even if your runtime environment lacks a GPU. diff --git a/docs/examples/06-integration-with-epic-claimer.md b/docs/examples/06-integration-with-epic-claimer.md deleted file mode 100644 index 5001258..0000000 --- a/docs/examples/06-integration-with-epic-claimer.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Epic Games claimer -description: The best practices with Built-in Solvers ---- diff --git a/docs/examples/automatic-image-annotation/index.html b/docs/examples/automatic-image-annotation/index.html new file mode 100644 index 0000000..ad6613a --- /dev/null +++ b/docs/examples/automatic-image-annotation/index.html @@ -0,0 +1,18 @@ + + + + + +Automatic Image Annotation | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/examples/index.html b/docs/examples/index.html new file mode 100644 index 0000000..f216b2f --- /dev/null +++ b/docs/examples/index.html @@ -0,0 +1,18 @@ + + + + + +Examples | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/examples/index.md b/docs/examples/index.md deleted file mode 100644 index d62922f..0000000 --- a/docs/examples/index.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: Examples -sidebar_position: 40 ---- - -import DocCardList from '@theme/DocCardList'; - - diff --git a/docs/examples/integration-with-discord-gen/index.html b/docs/examples/integration-with-discord-gen/index.html new file mode 100644 index 0000000..5379c1c --- /dev/null +++ b/docs/examples/integration-with-discord-gen/index.html @@ -0,0 +1,21 @@ + + + + + +Discord GEN | CaptchaAgent + + + + + + + + + +

Discord GEN

Introduction​

+

CaptchaAgent allows you to run model inference tasks locally. That means you can process hundreds of images in seconds while performing ultra-concurrent computer vision tasks (such as image classification, object detection, and image segmentation).

+

For instance, you don't need to use any outside solver services to implement your own CAPTCHA-specific solver. This eliminates the need for you to wait tens or even hundreds of seconds in line or share queues with other people. Everything is processed in real time here.

+

In addition, we converted all ModelHub models to ONNX format. At the same time, downstream tasks use onnxruntime to run inference tasks, allowing you to run AI models even if your runtime environment lacks a GPU.

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/examples/integration-with-epic-claimer/index.html b/docs/examples/integration-with-epic-claimer/index.html new file mode 100644 index 0000000..5c1d560 --- /dev/null +++ b/docs/examples/integration-with-epic-claimer/index.html @@ -0,0 +1,18 @@ + + + + + +Epic Games claimer | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/examples/self-supervised-challenge/index.html b/docs/examples/self-supervised-challenge/index.html new file mode 100644 index 0000000..1f748f2 --- /dev/null +++ b/docs/examples/self-supervised-challenge/index.html @@ -0,0 +1,18 @@ + + + + + +Self-Supervised Challenge | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/getting-started/01-installation.mdx b/docs/getting-started/01-installation.mdx deleted file mode 100644 index 063b250..0000000 --- a/docs/getting-started/01-installation.mdx +++ /dev/null @@ -1,24 +0,0 @@ ---- -title: Installation -description: Covers the installation of hcaptcha-challenger. ---- - -## PyPI - -To install [hcaptcha-challenger](https://pypi.org/project/hcaptcha-challenger/), simply run this simple command in your terminal of choice: - -```bash -pip install -U hcaptcha-challenger -``` - -Download the Playwright single instance feature (recommended): - -```bash -pip install -U hcaptcha-challenger[playwright] -``` - -## Optional Features - -- `playwright`: Download the dependencies associated with Playwright, and you can load human verification directly using hcaptcha-challenger. -- `sentinel`: Also download Playwright and PyGithub dependencies for developers to collect data and submit datasets. -- `server`: (🚧preview) Also download `sentinel` and additional fastapi and uvicorn dependencies. In the future we will implement something like CLIP-as-service, where you can load high performance solvers locally. diff --git a/docs/getting-started/02-quick-start.md b/docs/getting-started/02-quick-start.md deleted file mode 100644 index 5aff608..0000000 --- a/docs/getting-started/02-quick-start.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: QuickStart -description: Gives a good introduction in how to get started with hcaptcha-challenger. ---- - diff --git a/docs/getting-started/03-advanced.md b/docs/getting-started/03-advanced.md deleted file mode 100644 index 52b20e7..0000000 --- a/docs/getting-started/03-advanced.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Advanced Usage -description: Covers some of hcaptcha-challenger more advanced features. ---- - diff --git a/docs/getting-started/advanced/index.html b/docs/getting-started/advanced/index.html new file mode 100644 index 0000000..39fcde1 --- /dev/null +++ b/docs/getting-started/advanced/index.html @@ -0,0 +1,18 @@ + + + + + +Advanced Usage | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/getting-started/index.html b/docs/getting-started/index.html new file mode 100644 index 0000000..d4ead12 --- /dev/null +++ b/docs/getting-started/index.html @@ -0,0 +1,18 @@ + + + + + +Getting Started | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/getting-started/index.md b/docs/getting-started/index.md deleted file mode 100644 index 9d49402..0000000 --- a/docs/getting-started/index.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: Getting Started -sidebar_position: 2 ---- - -import DocCardList from '@theme/DocCardList'; - - diff --git a/docs/getting-started/installation/index.html b/docs/getting-started/installation/index.html new file mode 100644 index 0000000..3f82c16 --- /dev/null +++ b/docs/getting-started/installation/index.html @@ -0,0 +1,28 @@ + + + + + +Installation | CaptchaAgent + + + + + + + + + +

Installation

PyPI​

+

To install hcaptcha-challenger, simply run this simple command in your terminal of choice:

+
pip install -U hcaptcha-challenger
+

Download the Playwright single instance feature (recommended):

+
pip install -U hcaptcha-challenger[playwright]
+

Optional Features​

+
    +
  • playwright: Download the dependencies associated with Playwright, and you can load human verification directly using hcaptcha-challenger.
    • +
  • sentinel: Also download Playwright and PyGithub dependencies for developers to collect data and submit datasets.
    • +
  • server: (🚧preview) Also download sentinel and additional fastapi and uvicorn dependencies. In the future we will implement something like CLIP-as-service, where you can load high performance solvers locally.
    • +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/getting-started/quick-start/index.html b/docs/getting-started/quick-start/index.html new file mode 100644 index 0000000..b02c6d8 --- /dev/null +++ b/docs/getting-started/quick-start/index.html @@ -0,0 +1,18 @@ + + + + + +QuickStart | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/guides/01-objects.md b/docs/guides/01-objects.md deleted file mode 100644 index 0cdf86a..0000000 --- a/docs/guides/01-objects.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Asset Objects -description: A collection of indexed objects for model resources ---- - diff --git a/docs/guides/05-modelhub.md b/docs/guides/05-modelhub.md deleted file mode 100644 index d709e10..0000000 --- a/docs/guides/05-modelhub.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: ModelHub -description: ModelHub is ALL Your Need! ---- - diff --git a/docs/guides/10-AgentT.md b/docs/guides/10-AgentT.md deleted file mode 100644 index 1bf1bad..0000000 --- a/docs/guides/10-AgentT.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: AgentT -description: Best Practices for Web-Driven Objects, Loading CAPTCHA and Solving Challenges. ---- - diff --git a/docs/guides/99-troubleshooting.md b/docs/guides/99-troubleshooting.md deleted file mode 100644 index 3b5e935..0000000 --- a/docs/guides/99-troubleshooting.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Troubleshooting -description: Summarize common errors and their corresponding solutions ---- - diff --git a/docs/guides/AgentT/index.html b/docs/guides/AgentT/index.html new file mode 100644 index 0000000..6b203fc --- /dev/null +++ b/docs/guides/AgentT/index.html @@ -0,0 +1,18 @@ + + + + + +AgentT | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/guides/index.html b/docs/guides/index.html new file mode 100644 index 0000000..8122449 --- /dev/null +++ b/docs/guides/index.html @@ -0,0 +1,18 @@ + + + + + +Guides | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/guides/index.md b/docs/guides/index.md deleted file mode 100644 index f69bc1f..0000000 --- a/docs/guides/index.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: Guides -sidebar_position: 20 ---- - -import DocCardList from '@theme/DocCardList'; - - diff --git a/docs/guides/modelhub/index.html b/docs/guides/modelhub/index.html new file mode 100644 index 0000000..91ad268 Binary files /dev/null and b/docs/guides/modelhub/index.html differ diff --git a/docs/guides/objects/index.html b/docs/guides/objects/index.html new file mode 100644 index 0000000..d7e7df2 --- /dev/null +++ b/docs/guides/objects/index.html @@ -0,0 +1,18 @@ + + + + + +Asset Objects | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/guides/troubleshooting/index.html b/docs/guides/troubleshooting/index.html new file mode 100644 index 0000000..2de0dd4 --- /dev/null +++ b/docs/guides/troubleshooting/index.html @@ -0,0 +1,18 @@ + + + + + +Troubleshooting | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docs/intro/index.html b/docs/intro/index.html new file mode 100644 index 0000000..204747a --- /dev/null +++ b/docs/intro/index.html @@ -0,0 +1,22 @@ + + + + + +Introduction | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/docusaurus.config.js b/docusaurus.config.js deleted file mode 100644 index 3243666..0000000 --- a/docusaurus.config.js +++ /dev/null @@ -1,148 +0,0 @@ -// @ts-check -// Note: type annotations allow type checking and IDEs autocompletion -import {themes as prismThemes} from 'prism-react-renderer'; - -/** @type {import('@docusaurus/types').Config} */ -const config = { - title: 'CaptchaAgent', - tagline: '🥂 Gracefully face hCaptcha Challenge with MoE(ONNX) embedded solution.', - favicon: 'img/favicon2.png', - - // Set the production url of your site here - url: 'https://docs.captchax.top', - // Set the // pathname under which your site is served - // For GitHub pages deployment, it is often '//' - baseUrl: '/', - - // GitHub pages deployment config. - // If you aren't using GitHub pages, you don't need these. - organizationName: 'CaptchaAgent', // Usually your GitHub org/user name. - projectName: 'CaptchaAgent.github.io', // Usually your repo name. - - onBrokenLinks: 'throw', - onBrokenMarkdownLinks: 'warn', - - // Even if you don't use internalization, you can use this field to set useful - // metadata like html lang. For example, if your site is Chinese, you may want - // to replace "en" with "zh-Hans". - // https://docusaurus.io/zh-CN/docs/i18n/git#initialize-the-i18n-folder - i18n: { - defaultLocale: 'en', - locales: ['en', 'zh-Hans'], - }, - - presets: [ - [ - 'classic', - /** @type {import('@docusaurus/preset-classic').Options} */ - ({ - // https://docusaurus.io/docs/api/plugins/@docusaurus/plugin-content-docs#configuration - // https://docusaurus.io/docs/api/plugins/@docusaurus/plugin-content-docs#markdown-front-matter - docs: { - sidebarPath: require.resolve('./sidebars.js'), - // Please change this to your repo. - // Remove this to remove the "edit this page" links. - editUrl: - 'https://github.com/CaptchaAgent/docs-source/tree/main/', - }, - // https://docusaurus.io/docs/api/plugins/@docusaurus/plugin-content-blog#ex-config - blog: { - editUrl: 'https://github.com/CaptchaAgent/docs-source/tree/main/', - - blogSidebarCount: 'ALL', - editLocalizedFiles: true, - showReadingTime: true, - postsPerPage: 10, - }, - theme: { - customCss: require.resolve('./src/css/custom.css'), - }, - }), - ], - ], - - themeConfig: - /** @type {import('@docusaurus/preset-classic').ThemeConfig} */ - ({ - - // https://dashboard.algolia.com/account/api-keys/all - // https://docsearch.algolia.com/docs/templates/#docusaurus-v2-template - algolia: { - // The application ID provided by Algolia - appId: '63F28NXXKD', - - // Public API key: it is safe to commit it - apiKey: 'e5ce36be07b350ed0b0d7af28fedd6ce', - - indexName: 'captchax-docs', - - // Optional: see doc section below - // contextualSearch: true, - - // Optional: Specify domains where the navigation should occur through window.location instead on history.push. Useful when our Algolia config crawls multiple documentation sites and we want to navigate with window.location.href to them. - // externalUrlRegex: 'external\\.com|domain\\.com', - - // Optional: Replace parts of the item URLs from Algolia. Useful when using the same search index for multiple deployments using a different baseUrl. You can use regexp or string in the `from` param. For example: localhost:3000 vs myCompany.com/docs - // replaceSearchResultPathname: { - // from: '/docs/', // or as RegExp: /\/docs\// - // to: '/', - // }, - - // Optional: Algolia search parameters - // searchParameters: {}, - - // Optional: path for search page that enabled by default (`false` to disable it) - // searchPagePath: 'search', - - //... other Algolia params - }, - docs: { - sidebar: { - autoCollapseCategories: true, - }, - }, - - // Replace with your project's social card - image: 'img/CaptchaAgent-social-card.jpg', - navbar: { - title: 'CaptchaAgent', - logo: { - alt: 'CaptchaAgent', - src: 'img/logo.png', - }, - items: [ - { - type: 'docSidebar', - sidebarId: 'tutorialSidebar', - position: 'left', - label: 'Docs', - }, - // https://docusaurus.io/zh-CN/docs/api/plugins/@docusaurus/plugin-content-blog#markdown-front-matter - { to: '/blog', label: 'Blog', position: 'left' }, - { - type: "localeDropdown", - position: "right" - }, - { - href: 'https://github.com/QIN2DIM/hcaptcha-challenger', - label: 'GitHub', - position: 'right', - } - ], - }, - footer: { - style: 'dark', - links: [ - - ], - copyright: `Copyright © ${new Date().getFullYear()} CaptchaAgent. All right.`, - }, - prism: { - theme: prismThemes.oneLight, - darkTheme: prismThemes.dracula, - additionalLanguages: ["python", "bash"], - }, - }), -}; - -module.exports = config; diff --git a/i18n/zh-Hans/code.json b/i18n/zh-Hans/code.json deleted file mode 100644 index feb2b95..0000000 --- a/i18n/zh-Hans/code.json +++ /dev/null @@ -1,424 +0,0 @@ -{ - "theme.ErrorPageContent.title": { - "message": "页面已崩溃。", - "description": "The title of the fallback page when the page crashed" - }, - "theme.NotFound.title": { - "message": "找不到页面", - "description": "The title of the 404 page" - }, - "theme.NotFound.p1": { - "message": "我们找不到您要找的页面。", - "description": "The first paragraph of the 404 page" - }, - "theme.NotFound.p2": { - "message": "请联系原始链接来源网站的所有者，并告知他们链接已损坏。", - "description": "The 2nd paragraph of the 404 page" - }, - "theme.admonition.note": { - "message": "备注", - "description": "The default label used for the Note admonition (:::note)" - }, - "theme.admonition.tip": { - "message": "提示", - "description": "The default label used for the Tip admonition (:::tip)" - }, - "theme.admonition.danger": { - "message": "危险", - "description": "The default label used for the Danger admonition (:::danger)" - }, - "theme.admonition.info": { - "message": "信息", - "description": "The default label used for the Info admonition (:::info)" - }, - "theme.admonition.caution": { - "message": "警告", - "description": "The default label used for the Caution admonition (:::caution)" - }, - "theme.BackToTopButton.buttonAriaLabel": { - "message": "回到顶部", - "description": "The ARIA label for the back to top button" - }, - "theme.blog.archive.title": { - "message": "历史博文", - "description": "The page & hero title of the blog archive page" - }, - "theme.blog.archive.description": { - "message": "历史博文", - "description": "The page & hero description of the blog archive page" - }, - "theme.blog.paginator.navAriaLabel": { - "message": "博文列表分页导航", - "description": "The ARIA label for the blog pagination" - }, - "theme.blog.paginator.newerEntries": { - "message": "较新的博文", - "description": "The label used to navigate to the newer blog posts page (previous page)" - }, - "theme.blog.paginator.olderEntries": { - "message": "较旧的博文", - "description": "The label used to navigate to the older blog posts page (next page)" - }, - "theme.blog.post.paginator.navAriaLabel": { - "message": "博文分页导航", - "description": "The ARIA label for the blog posts pagination" - }, - "theme.blog.post.paginator.newerPost": { - "message": "较新一篇", - "description": "The blog post button label to navigate to the newer/previous post" - }, - "theme.blog.post.paginator.olderPost": { - "message": "较旧一篇", - "description": "The blog post button label to navigate to the older/next post" - }, - "theme.blog.post.plurals": { - "message": "{count} 篇博文", - "description": "Pluralized label for \"{count} posts\". Use as much plural forms (separated by \"|\") as your language support (see https://www.unicode.org/cldr/cldr-aux/charts/34/supplemental/language_plural_rules.html)" - }, - "theme.blog.tagTitle": { - "message": "{nPosts} 含有标签「{tagName}」", - "description": "The title of the page for a blog tag" - }, - "theme.tags.tagsPageLink": { - "message": "查看所有标签", - "description": "The label of the link targeting the tag list page" - }, - "theme.colorToggle.ariaLabel": { - "message": "切换浅色/暗黑模式（当前为{mode}）", - "description": "The ARIA label for the navbar color mode toggle" - }, - "theme.colorToggle.ariaLabel.mode.dark": { - "message": "暗黑模式", - "description": "The name for the dark color mode" - }, - "theme.colorToggle.ariaLabel.mode.light": { - "message": "浅色模式", - "description": "The name for the light color mode" - }, - "theme.docs.breadcrumbs.navAriaLabel": { - "message": "页面路径", - "description": "The ARIA label for the breadcrumbs" - }, - "theme.docs.DocCard.categoryDescription": { - "message": "{count} 个项目", - "description": "The default description for a category card in the generated index about how many items this category includes" - }, - "theme.docs.paginator.navAriaLabel": { - "message": "文件选项卡", - "description": "The ARIA label for the docs pagination" - }, - "theme.docs.paginator.previous": { - "message": "上一页", - "description": "The label used to navigate to the previous doc" - }, - "theme.docs.paginator.next": { - "message": "下一页", - "description": "The label used to navigate to the next doc" - }, - "theme.docs.tagDocListPageTitle.nDocsTagged": { - "message": "{count} 篇文档带有标签", - "description": "Pluralized label for \"{count} docs tagged\". Use as much plural forms (separated by \"|\") as your language support (see https://www.unicode.org/cldr/cldr-aux/charts/34/supplemental/language_plural_rules.html)" - }, - "theme.docs.tagDocListPageTitle": { - "message": "{nDocsTagged}「{tagName}」", - "description": "The title of the page for a docs tag" - }, - "theme.docs.versionBadge.label": { - "message": "版本：{versionLabel}" - }, - "theme.docs.versions.unreleasedVersionLabel": { - "message": "此为 {siteTitle} {versionLabel} 版尚未发行的文档。", - "description": "The label used to tell the user that he's browsing an unreleased doc version" - }, - "theme.docs.versions.unmaintainedVersionLabel": { - "message": "此为 {siteTitle} {versionLabel} 版的文档，现已不再积极维护。", - "description": "The label used to tell the user that he's browsing an unmaintained doc version" - }, - "theme.docs.versions.latestVersionSuggestionLabel": { - "message": "最新的文档请参阅 {latestVersionLink} ({versionLabel})。", - "description": "The label used to tell the user to check the latest version" - }, - "theme.docs.versions.latestVersionLinkLabel": { - "message": "最新版本", - "description": "The label used for the latest version suggestion link label" - }, - "theme.common.editThisPage": { - "message": "编辑此页", - "description": "The link label to edit the current page" - }, - "theme.common.headingLinkTitle": { - "message": "{heading}的直接链接", - "description": "Title for link to heading" - }, - "theme.lastUpdated.atDate": { - "message": "于 {date} ", - "description": "The words used to describe on which date a page has been last updated" - }, - "theme.lastUpdated.byUser": { - "message": "由 {user} ", - "description": "The words used to describe by who the page has been last updated" - }, - "theme.lastUpdated.lastUpdatedAtBy": { - "message": "最后{byUser}{atDate}更新", - "description": "The sentence used to display when a page has been last updated, and by who" - }, - "theme.navbar.mobileVersionsDropdown.label": { - "message": "选择版本", - "description": "The label for the navbar versions dropdown on mobile view" - }, - "theme.tags.tagsListLabel": { - "message": "标签：", - "description": "The label alongside a tag list" - }, - "theme.AnnouncementBar.closeButtonAriaLabel": { - "message": "关闭", - "description": "The ARIA label for close button of announcement bar" - }, - "theme.blog.sidebar.navAriaLabel": { - "message": "最近博文导航", - "description": "The ARIA label for recent posts in the blog sidebar" - }, - "theme.CodeBlock.wordWrapToggle": { - "message": "切换自动换行", - "description": "The title attribute for toggle word wrapping button of code block lines" - }, - "theme.CodeBlock.copied": { - "message": "复制成功", - "description": "The copied button label on code blocks" - }, - "theme.CodeBlock.copyButtonAriaLabel": { - "message": "复制代码到剪贴板", - "description": "The ARIA label for copy code blocks button" - }, - "theme.CodeBlock.copy": { - "message": "复制", - "description": "The copy button label on code blocks" - }, - "theme.DocSidebarItem.toggleCollapsedCategoryAriaLabel": { - "message": "打开/收起侧边栏菜单「{label}」", - "description": "The ARIA label to toggle the collapsible sidebar category" - }, - "theme.NavBar.navAriaLabel": { - "message": "主导航", - "description": "The ARIA label for the main navigation" - }, - "theme.navbar.mobileLanguageDropdown.label": { - "message": "选择语言", - "description": "The label for the mobile language switcher dropdown" - }, - "theme.TOCCollapsible.toggleButtonLabel": { - "message": "本页总览", - "description": "The label used by the button on the collapsible TOC component" - }, - "theme.blog.post.readMore": { - "message": "阅读更多", - "description": "The label used in blog post item excerpts to link to full blog posts" - }, - "theme.blog.post.readMoreLabel": { - "message": "阅读 {title} 的全文", - "description": "The ARIA label for the link to full blog posts from excerpts" - }, - "theme.blog.post.readingTime.plurals": { - "message": "阅读需 {readingTime} 分钟", - "description": "Pluralized label for \"{readingTime} min read\". Use as much plural forms (separated by \"|\") as your language support (see https://www.unicode.org/cldr/cldr-aux/charts/34/supplemental/language_plural_rules.html)" - }, - "theme.docs.breadcrumbs.home": { - "message": "主页面", - "description": "The ARIA label for the home page in the breadcrumbs" - }, - "theme.docs.sidebar.collapseButtonTitle": { - "message": "收起侧边栏", - "description": "The title attribute for collapse button of doc sidebar" - }, - "theme.docs.sidebar.collapseButtonAriaLabel": { - "message": "收起侧边栏", - "description": "The title attribute for collapse button of doc sidebar" - }, - "theme.docs.sidebar.navAriaLabel": { - "message": "文档侧边栏", - "description": "The ARIA label for the sidebar navigation" - }, - "theme.docs.sidebar.closeSidebarButtonAriaLabel": { - "message": "关闭导航栏", - "description": "The ARIA label for close button of mobile sidebar" - }, - "theme.navbar.mobileSidebarSecondaryMenu.backButtonLabel": { - "message": "← 回到主菜单", - "description": "The label of the back button to return to main menu, inside the mobile navbar sidebar secondary menu (notably used to display the docs sidebar)" - }, - "theme.docs.sidebar.toggleSidebarButtonAriaLabel": { - "message": "切换导航栏", - "description": "The ARIA label for hamburger menu button of mobile navigation" - }, - "theme.docs.sidebar.expandButtonTitle": { - "message": "展开侧边栏", - "description": "The ARIA label and title attribute for expand button of doc sidebar" - }, - "theme.docs.sidebar.expandButtonAriaLabel": { - "message": "展开侧边栏", - "description": "The ARIA label and title attribute for expand button of doc sidebar" - }, - "theme.SearchBar.seeAll": { - "message": "查看全部 {count} 个结果" - }, - "theme.SearchPage.documentsFound.plurals": { - "message": "找到 {count} 份文件", - "description": "Pluralized label for \"{count} documents found\". Use as much plural forms (separated by \"|\") as your language support (see https://www.unicode.org/cldr/cldr-aux/charts/34/supplemental/language_plural_rules.html)" - }, - "theme.SearchPage.existingResultsTitle": { - "message": "「{query}」的搜索结果", - "description": "The search page title for non-empty query" - }, - "theme.SearchPage.emptyResultsTitle": { - "message": "在文档中搜索", - "description": "The search page title for empty query" - }, - "theme.SearchPage.inputPlaceholder": { - "message": "在此输入搜索字词", - "description": "The placeholder for search page input" - }, - "theme.SearchPage.inputLabel": { - "message": "搜索", - "description": "The ARIA label for search page input" - }, - "theme.SearchPage.algoliaLabel": { - "message": "通过 Algolia 搜索", - "description": "The ARIA label for Algolia mention" - }, - "theme.SearchPage.noResultsText": { - "message": "未找到任何结果", - "description": "The paragraph for empty search result" - }, - "theme.SearchPage.fetchingNewResults": { - "message": "正在获取新的搜索结果...", - "description": "The paragraph for fetching new search results" - }, - "theme.SearchBar.label": { - "message": "搜索", - "description": "The ARIA label and placeholder for search button" - }, - "theme.SearchModal.searchBox.resetButtonTitle": { - "message": "清除查询", - "description": "The label and ARIA label for search box reset button" - }, - "theme.SearchModal.searchBox.cancelButtonText": { - "message": "取消", - "description": "The label and ARIA label for search box cancel button" - }, - "theme.SearchModal.startScreen.recentSearchesTitle": { - "message": "最近搜索", - "description": "The title for recent searches" - }, - "theme.SearchModal.startScreen.noRecentSearchesText": { - "message": "没有最近搜索", - "description": "The text when no recent searches" - }, - "theme.SearchModal.startScreen.saveRecentSearchButtonTitle": { - "message": "保存这个搜索", - "description": "The label for save recent search button" - }, - "theme.SearchModal.startScreen.removeRecentSearchButtonTitle": { - "message": "从历史记录中删除这个搜索", - "description": "The label for remove recent search button" - }, - "theme.SearchModal.startScreen.favoriteSearchesTitle": { - "message": "收藏", - "description": "The title for favorite searches" - }, - "theme.SearchModal.startScreen.removeFavoriteSearchButtonTitle": { - "message": "从收藏列表中删除这个搜索", - "description": "The label for remove favorite search button" - }, - "theme.SearchModal.errorScreen.titleText": { - "message": "无法获取结果", - "description": "The title for error screen of search modal" - }, - "theme.SearchModal.errorScreen.helpText": { - "message": "你可能需要检查网络连接。", - "description": "The help text for error screen of search modal" - }, - "theme.SearchModal.footer.selectText": { - "message": "选中", - "description": "The explanatory text of the action for the enter key" - }, - "theme.SearchModal.footer.selectKeyAriaLabel": { - "message": "Enter 键", - "description": "The ARIA label for the Enter key button that makes the selection" - }, - "theme.SearchModal.footer.navigateText": { - "message": "导航", - "description": "The explanatory text of the action for the Arrow up and Arrow down key" - }, - "theme.SearchModal.footer.navigateUpKeyAriaLabel": { - "message": "向上键", - "description": "The ARIA label for the Arrow up key button that makes the navigation" - }, - "theme.SearchModal.footer.navigateDownKeyAriaLabel": { - "message": "向下键", - "description": "The ARIA label for the Arrow down key button that makes the navigation" - }, - "theme.SearchModal.footer.closeText": { - "message": "关闭", - "description": "The explanatory text of the action for Escape key" - }, - "theme.SearchModal.footer.closeKeyAriaLabel": { - "message": "Esc 键", - "description": "The ARIA label for the Escape key button that close the modal" - }, - "theme.SearchModal.footer.searchByText": { - "message": "搜索提供", - "description": "The text explain that the search is making by Algolia" - }, - "theme.SearchModal.noResultsScreen.noResultsText": { - "message": "没有结果：", - "description": "The text explains that there are no results for the following search" - }, - "theme.SearchModal.noResultsScreen.suggestedQueryText": { - "message": "试试搜索", - "description": "The text for the suggested query when no results are found for the following search" - }, - "theme.SearchModal.noResultsScreen.reportMissingResultsText": { - "message": "认为这个查询应该有结果？", - "description": "The text for the question where the user thinks there are missing results" - }, - "theme.SearchModal.noResultsScreen.reportMissingResultsLinkText": { - "message": "请告知我们。", - "description": "The text for the link to report missing results" - }, - "theme.SearchModal.placeholder": { - "message": "搜索文档", - "description": "The placeholder of the input of the DocSearch pop-up modal" - }, - "theme.ErrorPageContent.tryAgain": { - "message": "重试", - "description": "The label of the button to try again rendering when the React error boundary captures an error" - }, - "theme.common.skipToMainContent": { - "message": "跳到主要内容", - "description": "The skip to content label used for accessibility, allowing to rapidly navigate to main content with keyboard tab/enter navigation" - }, - "theme.tags.tagsPageTitle": { - "message": "标签", - "description": "The title of the tag list page" - }, - "theme.admonition.warning": { - "message": "注意", - "description": "The default label used for the Warning admonition (:::warning)" - }, - "theme.DocSidebarItem.expandCategoryAriaLabel": { - "message": "展开侧边栏分类 '{label}'", - "description": "The ARIA label to expand the sidebar category" - }, - "theme.DocSidebarItem.collapseCategoryAriaLabel": { - "message": "折叠侧边栏分类 '{label}'", - "description": "The ARIA label to collapse the sidebar category" - }, - "theme.unlistedContent.title": { - "message": "未列出页", - "description": "The unlisted content banner title" - }, - "theme.unlistedContent.message": { - "message": "此页面未列出。搜索引擎不会对其索引，只有拥有直接链接的用户才能访问。", - "description": "The unlisted content banner message" - } -} diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/05-integration-with-discord-gen.md b/i18n/zh-Hans/docusaurus-plugin-content-blog/05-integration-with-discord-gen.md deleted file mode 100644 index 03f3fdc..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-blog/05-integration-with-discord-gen.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Discord GEN -description: It's your concern. ---- - -## Introduction - -CaptchaAgent allows you to run model inference tasks locally. That means you can process hundreds of images in seconds while performing ultra-concurrent computer vision tasks (such as image classification, object detection, and image segmentation). - -For instance, you don't need to use any outside solver services to implement your own CAPTCHA-specific solver. This eliminates the need for you to wait tens or even hundreds of seconds in line or share queues with other people. Everything is processed in real time here. - -In addition, we converted all ModelHub models to ONNX format. At the same time, downstream tasks use `onnxruntime` to run inference tasks, allowing you to run AI models even if your runtime environment lacks a GPU. diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-08-30-how-old-is-that-kitten/index.md b/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-08-30-how-old-is-that-kitten/index.md deleted file mode 100644 index 6e09fa6..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-08-30-how-old-is-that-kitten/index.md +++ /dev/null @@ -1,27 +0,0 @@ ---- -slug: how-old-is-that-kitten -title: 你家猫猫……几岁！ -authors: [QIN2DIM] -tags: [HCI challenge] -keywords: - - hcaptcha - - captcha - - hcaptca-challenger ---- - -## Cat Age Chart with Pictures - -[Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies](https://www.alleycat.org/resources/kitten-progression/) - -![7d524620139047c35387c20e1e8ab9e2-1](https://r2-datalake.echosec.top/blog-obs/2023/10/00a48bda62e3acbac8ea005075bb0c5f.jpg) - -## Related work - -- [[Challenge] adult cat #163](https://github.com/QIN2DIM/hcaptcha-challenger/issues/163) -- [[Challenge] cat with large, rounded head #158](https://github.com/QIN2DIM/hcaptcha-challenger/issues/158) -- [[Challenge] kitten #156](https://github.com/QIN2DIM/hcaptcha-challenger/issues/156) -- [[Challenge] cat with long hair #150](https://github.com/QIN2DIM/hcaptcha-challenger/issues/150) -- [[Challenge] cat with short hair #148](https://github.com/QIN2DIM/hcaptcha-challenger/issues/148) -- [[Challenge] cat with thick fur #146](https://github.com/QIN2DIM/hcaptcha-challenger/issues/146) -- [[Challenge] baby cat #142](https://github.com/QIN2DIM/hcaptcha-challenger/issues/142) -- [[Challenge] Domestic Cat #68](https://github.com/QIN2DIM/hcaptcha-challenger/issues/68) \ No newline at end of file diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-09-22-can-dogs-smile/Snipaste_2023-10-31_06-34-58.png b/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-09-22-can-dogs-smile/Snipaste_2023-10-31_06-34-58.png deleted file mode 100644 index e82fc35..0000000 Binary files a/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-09-22-can-dogs-smile/Snipaste_2023-10-31_06-34-58.png and /dev/null differ diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-09-22-can-dogs-smile/index.md b/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-09-22-can-dogs-smile/index.md deleted file mode 100644 index 9f99afc..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-09-22-can-dogs-smile/index.md +++ /dev/null @@ -1,36 +0,0 @@ ---- -slug: can-dogs-smile -title: 秀狗在笑？ -authors: [QIN2DIM] -tags: [HCI challenge] -description: How Do I Know If My Dog Is Smiling? -keywords: - - hcaptcha - - captcha - - hcaptca-challenger ---- - -![Snipaste_2023-10-31_06-34-58](https://r2-datalake.echosec.top/blog-obs/2023/11/beb1c7ad73b6372814691bbfd9e65603.png) - -## TL;TD - -**YES, BUT** it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior. - -In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling. - -## How Do I Know If My Dog Is Smiling? - -The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying." - -## Reading - -- [Can Dogs Actually Smile? | Hill's Pet](https://www.hillspet.com/dog-care/behavior-appearance/can-dogs-smile) -- [Can Dogs Smile? | Blog - hCaptcha](https://www.hcaptcha.com/post/can-dogs-smile) - -## Related work - -- [[Challenge] smiling ԁog #87](https://github.com/QIN2DIM/hcaptcha-challenger/issues/87) -- [[Challenge] dog with closed eyes #98](https://github.com/QIN2DIM/hcaptcha-challenger/issues/98) -- [[Challenge] dog without a collar #115](https://github.com/QIN2DIM/hcaptcha-challenger/issues/115) -- [[Challenge] dog with a collar on its neck #113](https://github.com/QIN2DIM/hcaptcha-challenger/issues/113) - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-05-15-bot-revolution/index.md b/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-05-15-bot-revolution/index.md deleted file mode 100644 index c54beb9..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-05-15-bot-revolution/index.md +++ /dev/null @@ -1,27 +0,0 @@ ---- -slug: bot-revolution-2023 -title: 机器革命 2023 -authors: [QIN2DIM] -tags: [HCI challenge] -keywords: - - hcaptcha - - captcha - - YOLOv8 - - object detection - - Visual Question Answering - - hcaptca-challenger ---- - -## You know Who I Am 🤖 - -![image](https://user-images.githubusercontent.com/62018067/225232056-b31da9d8-02a8-4bf0-adf6-fba10ed8bbb8.png) - -## Related Challenges - -- [[*Challenge] image label area select #82](https://github.com/QIN2DIM/hcaptcha-challenger/issues/82) -- [[*Challenge] image label multiple choice #176](https://github.com/QIN2DIM/hcaptcha-challenger/issues/176) -- [[*Challenge] Draw a tight box around the toilet #236](https://github.com/QIN2DIM/hcaptcha-challenger/issues/236) -- [[*Challenge] Word Μatching #241](https://github.com/QIN2DIM/hcaptcha-challenger/issues/241) -- [[*Challenge] Is the highlighted dot on the bigger squirrel? #459](https://github.com/QIN2DIM/hcaptcha-challenger/issues/459) -- [[*Challenge] center of the owl's head #471](https://github.com/QIN2DIM/hcaptcha-challenger/issues/471) -- [[*Challenge] please click the center of the X #479](https://github.com/QIN2DIM/hcaptcha-challenger/issues/479) \ No newline at end of file diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-26-please-click-on-the-x/index.md b/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-26-please-click-on-the-x/index.md deleted file mode 100644 index 806a043..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-26-please-click-on-the-x/index.md +++ /dev/null @@ -1,26 +0,0 @@ ---- -slug: please-click-on-the-x -title: 在目标上点击 -authors: [QIN2DIM] -tags: [hCI challenge] -keywords: - - hcaptcha - - captcha - - YOLOv8 - - object detection - - ONNX - - hcaptca-challenger ---- - -## Milestone - -[[Challenge] Please click on the X #588](https://github.com/QIN2DIM/hcaptcha-challenger/issues/588) - -This is the first time we have trained the YOLOv8 model to handle a object detection task in a CAPTCHA challenge. - -```yaml -prompt: please click on the elephant -type: point -``` - -![263444792-8162bc5c-d13a-471f-84a7-28b22b9f3184](https://r2-datalake.echosec.top/blog-obs/2023/10/edba3bc365ef9057ae647d84877edeaa.png) \ No newline at end of file diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md b/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md deleted file mode 100644 index 791e89a..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md +++ /dev/null @@ -1,31 +0,0 @@ ---- -slug: draw-a-tight-bounding-box-around-the-x -title: 在目标周围画一个边界框 -authors: [QIN2DIM] -tags: [HCI challenge] -keywords: - - hcaptcha - - captcha - - YOLOv8 - - object detection - - image segmentation - - bounding box - - ONNX - - hcaptca-challenger ---- - -## Milestone - -[[Challenge] Draw a tight bounding box around the X #592](https://github.com/QIN2DIM/hcaptcha-challenger/issues/592) - -Similar to the [point type challenge](../2023-08-26-please-click-on-the-x/index.md), the principle of both similar challenges is object detection. - -However, the output of the `bounding box` method changes from the coordinates of the center point of the bounding box to the start and end points. - -```yaml -prompt: Draw a tight bounding box around the guіtаr. -type: bounding box -``` - -![263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9](https://r2-datalake.echosec.top/blog-obs/2023/10/a8e4fd61370418f5e35ebdea07f45cba.png) - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-10-22-vit-zero-shot-tasks/index.md b/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-10-22-vit-zero-shot-tasks/index.md deleted file mode 100644 index 443f0aa..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-10-22-vit-zero-shot-tasks/index.md +++ /dev/null @@ -1,127 +0,0 @@ ---- -slug: vit-zero-shot-tasks-1 -title: 零样本图像分类任务 -authors: [QIN2DIM] -tags: [HCI challenge] -keywords: - - hcaptcha - - captcha - - YOLOv8 - - ResNet - - object detection - - image segmentation - - bounding box - - clip - - vit - - huggingface - - llm - - OpenAgents - - automatic image annotation - - CaptchaAgent - - GPT - - ONNX - - hcaptca-challenger ---- - -## Preview - -> [CLIP](https://arxiv.org/abs/2103.00020) is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score. -> -> [-- huggingface.co](https://huggingface.co/docs/transformers/model_doc/clip) - -![CLIP](https://r2-datalake.echosec.top/blog-obs/2023/10/3958bc6e52d9c3fc1fdabaf17657db76.png) - -## Milestone - -:::info - -We merged a [feature #858](https://github.com/QIN2DIM/hcaptcha-challenger/issues/858) to the main branch of [hcaptcha-challenger](https://github.com/QIN2DIM/hcaptcha-challenger) on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model. - -::: - -Previously, we trained and used the [ResNet model](https://github.com/CaptchaAgent/hcaptcha-model-factory/blob/main/src/factories/resnet.py#L28) to handle the image classification challenge. The model network parameters are so small that our [exported](https://pytorch.org/tutorials/beginner/onnx/export_simple_model_to_onnx_tutorial.html) ResNet [ONNX model](https://onnxruntime.ai/) is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images. - -> But today, in 2023, there are so many key breakthroughs in [Computer Vision](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiahvedm56CAxXEI0QIHQeMBLkQFnoECBkQAQ&url=https%3A%2F%2Fwww.ibm.com%2Ftopics%2Fcomputer-vision&usg=AOvVaw3K4rO-yHQ-RhOQjD0LbKZO&opi=89978449) that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮. - -Thus, we also designed a [factory workflow](https://github.com/CaptchaAgent/hcaptcha-model-factory/tree/main/automation) based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data. - -Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes. - -## Automatic image annotation - -:::note - -[Zero shot image classification](https://huggingface.co/tasks/zero-shot-image-classification) is the task of classifying previously unseen classes during training of a model. - -::: - -![image-20231031022847507](https://r2-datalake.echosec.top/blog-obs/2023/10/6dcf0cdc5089fa33fae236ab7ab4a951.png) - -We have been using CLIP in the factory workflow for [automatic image annotation](https://en.wikipedia.org/wiki/Automatic_image_annotation) tasks since 2022, and at that time, the accuracy of [the best CLIP model](https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_classification_results.csv) in dealing with [zero-shot image classification](https://huggingface.co/tasks/zero-shot-image-classification) was not satisfactory, but it was very useful for saving your time. - -If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process. - -With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores. - -![Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1](https://r2-datalake.echosec.top/blog-obs/2023/10/450ca5abdc2de3401c8f687d6952ffb2.jpg) - -It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics. - -## Dilemmas and breakthroughs - -At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs? - -This question stumped me. So much so that as projects like [clip-as-service](https://github.com/jina-ai/clip-as-service) started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹 - -Note that you don't need much configuration to run the CLIP model, in the case of `RN50.openai` you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time. - -With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. [↪️benchmarks](https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_results.csv) - -> - [CLIP](https://huggingface.co/docs/transformers/main/en/model_doc/clip) supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of {}". The expectation is to get the category label as the answer. -> - [OWL-ViT](https://huggingface.co/docs/transformers/main/en/model_doc/owlvit) allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to [this notebook](https://github.com/huggingface/notebooks/tree/main/examples#:~:text=zeroshot_object_detection_with_owlvit.ipynb) to learn more. -> - [CLIPSeg](https://huggingface.co/docs/transformers/model_doc/clipseg) supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to [this blog post](https://huggingface.co/blog/clipseg-zero-shot) that illustrates this idea. [GroupViT](https://huggingface.co/docs/transformers/model_doc/groupvit) also supports zero-shot segmentation. -> - [X-CLIP](https://huggingface.co/docs/transformers/main/en/model_doc/xclip) Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out [this notebook](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Zero_shot_classify_a_YouTube_video_with_X_CLIP.ipynb) for more details. - -At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU. - -In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide. - -That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment. - -It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. [mobilenetv3](https://huggingface.co/timm/mobilenetv3_large_100.ra_in1k) and [EVA-02](https://github.com/baaivision/EVA/tree/master/EVA-02/asuka)) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. [↪️benchmarks](https://github.com/huggingface/pytorch-image-models/blob/main/results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv) - -![radar](https://r2-datalake.echosec.top/blog-obs/2023/10/d101ab93a2687bf69889c2b38cc62541.png)![summary_tab](https://r2-datalake.echosec.top/blog-obs/2023/10/8bf027fff3915204cd10e2bb7f2bc4d6.png) - -## Scenarios for the CLIP-ONNX - -As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance. - -It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX? - -🚧 - -## The generation of the LLM - -### Visual Question Answering - -:::note - -[Visual Question Answering](https://huggingface.co/tasks/visual-question-answering) is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions. - -::: - -![image-20231031052543037](https://r2-datalake.echosec.top/blog-obs/2023/10/2a915379c573c45234bf03f9150a8133.png) - -### LLM OpenAgents - -XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including: - -- **Data Agent**: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks. -- **Plugins Agent**: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities. -- **Web Agent**: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on. - -![image-20231031052746310](https://r2-datalake.echosec.top/blog-obs/2023/10/1960d1a546180a884df4a3aa7fd03d9f.png) - -### LLM with the CLIP-ONNX - -### LLM with the CaptchaAgent \ No newline at end of file diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/authors.yml b/i18n/zh-Hans/docusaurus-plugin-content-blog/authors.yml deleted file mode 100644 index 22c1919..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-blog/authors.yml +++ /dev/null @@ -1,29 +0,0 @@ -endi: - name: Endilie Yacop Sucipto - title: Maintainer of Docusaurus - url: https://github.com/endiliey - image_url: https://github.com/endiliey.png - -yangshun: - name: Yangshun Tay - title: Front End Engineer @ Facebook - url: https://github.com/yangshun - image_url: https://github.com/yangshun.png - -slorber: - name: Sbastien Lorber - title: Docusaurus maintainer - url: https://sebastienlorber.com - image_url: https://github.com/slorber.png - -QIN2DIM: - name: QIN2DIM - title: Maintainer of CaptchaAgent - url: https://github.com/QIN2DIM - image_url: https://github.com/QIN2DIM.png - -Bingjie Yan: - name: Bingjie Yan - title: Maintainer of CaptchaAgent - url: https://www.bj-yan.top/ - image_url: https://github.com/beiyuouo.png diff --git a/i18n/zh-Hans/docusaurus-plugin-content-blog/options.json b/i18n/zh-Hans/docusaurus-plugin-content-blog/options.json deleted file mode 100644 index 9239ff7..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-blog/options.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "title": { - "message": "Blog", - "description": "The title for the blog used in SEO" - }, - "description": { - "message": "Blog", - "description": "The description for the blog used in SEO" - }, - "sidebar.title": { - "message": "Recent posts", - "description": "The label for the left sidebar" - } -} diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current.json b/i18n/zh-Hans/docusaurus-plugin-content-docs/current.json deleted file mode 100644 index 654fcb9..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "version.label": { - "message": "Next", - "description": "The label for version current" - }, - "sidebar.tutorialSidebar.category.Getting Started": { - "message": "Getting Started", - "description": "The label for category Getting Started in sidebar tutorialSidebar" - }, - "sidebar.tutorialSidebar.category.Guides": { - "message": "Guides", - "description": "The label for category Guides in sidebar tutorialSidebar" - }, - "sidebar.tutorialSidebar.category.Examples": { - "message": "Examples", - "description": "The label for category Examples in sidebar tutorialSidebar" - }, - "sidebar.tutorialSidebar.category.Community": { - "message": "Community", - "description": "The label for category Community in sidebar tutorialSidebar" - } -} diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/01-intro.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/01-intro.md deleted file mode 100644 index b7a4e37..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/01-intro.md +++ /dev/null @@ -1,17 +0,0 @@ ---- -sidebar_position: 1 -title: Introduction ---- - - -# 爽飞天教程 - -:::info - -🚧 正在写 ... - -> [Get started ‐ Library ](https://github.com/QIN2DIM/hcaptcha-challenger/wiki/Get-started-‐-Library) - -::: - -![](https://r2-datalake.echosec.top/blog-obs/2023/10/e06566e498ebfd9e1fee918f97d3cd4d.gif) diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/community/01-readme.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/community/01-readme.md deleted file mode 100644 index 2f2d794..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/community/01-readme.md +++ /dev/null @@ -1,29 +0,0 @@ ---- -title: Happy beginnings -description: Harmonious and friendly open community ---- - -## README - -We believe that CaptchaAgent has a different audience than the current solver service. It's entirely possible that you'll only need a third-party solver and won't need to deploy CaptchaAgent locally. - -But all in all, we are pursuing a purely geeky approach and trying to explore the potential and future of the CAPTCHA industry from the perspective of "industry, academia, and research" in the LLM dynasty. - -CaptchaAgent will be a public service project for a long time to come. If you are interested in CV / NLP / HCI and CAPTCHA, please feel free to join us. - -If you are a developer who is not good at AI for the time being, please don't be stingy with your opinions, you can put forward any reasonable needs and suggestions to help us broaden the boundaries capabilities of the CaptchaAgent. - -If you are an AI researcher working on Visual Question Answering or a practitioner in the CAPTCHA field, we can discuss possible future patterns of CAPTCHA and ANTI-CAPTCHA in various domains. - -Examples: - -- The human-computer interaction challenge of CAPTCHA in virtual reality scenarios; -- Sensorless verification system based on IoT devices; -- The multi-factor verification process; -- The possibility of real-name verification to be implemented in the so call western democracies; -- The possibility of LLM to disrupt all the verification challenges; -- How to design an efficient combination of multiple modalities for the verification challenges. - -- The possibility of CAPTCHA as a military weapon in the future of cyber public opinion, and how the boundaries between CAPTCHA and cyber offense and defense should be defined in future cyber activities. - -- Finally, CAPTCHA becomes a possible scenario for pseudo-requirements in future network activities. \ No newline at end of file diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/community/index.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/community/index.md deleted file mode 100644 index 9c14368..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/community/index.md +++ /dev/null @@ -1,9 +0,0 @@ ---- -title: Community -sidebar_position: 100 - ---- - -import DocCardList from '@theme/DocCardList'; - - \ No newline at end of file diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/01-automatic-image-annotation.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/01-automatic-image-annotation.md deleted file mode 100644 index 7ea777b..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/01-automatic-image-annotation.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Automatic Image Annotation -description: Essential steps for batch production deep learning models ---- - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/02-self-supervised-challenge.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/02-self-supervised-challenge.md deleted file mode 100644 index 56b1f7c..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/02-self-supervised-challenge.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Self-Supervised Challenge -description: 5 lines of code to implement a self-supervised image binary challenge ---- - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/05-integration-with-discord-gen.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/05-integration-with-discord-gen.md deleted file mode 100644 index 03f3fdc..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/05-integration-with-discord-gen.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Discord GEN -description: It's your concern. ---- - -## Introduction - -CaptchaAgent allows you to run model inference tasks locally. That means you can process hundreds of images in seconds while performing ultra-concurrent computer vision tasks (such as image classification, object detection, and image segmentation). - -For instance, you don't need to use any outside solver services to implement your own CAPTCHA-specific solver. This eliminates the need for you to wait tens or even hundreds of seconds in line or share queues with other people. Everything is processed in real time here. - -In addition, we converted all ModelHub models to ONNX format. At the same time, downstream tasks use `onnxruntime` to run inference tasks, allowing you to run AI models even if your runtime environment lacks a GPU. diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/06-integration-with-epic-claimer.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/06-integration-with-epic-claimer.md deleted file mode 100644 index 5001258..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/06-integration-with-epic-claimer.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Epic Games claimer -description: The best practices with Built-in Solvers ---- diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/index.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/index.md deleted file mode 100644 index d62922f..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/examples/index.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: Examples -sidebar_position: 40 ---- - -import DocCardList from '@theme/DocCardList'; - - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/01-installation.mdx b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/01-installation.mdx deleted file mode 100644 index 063b250..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/01-installation.mdx +++ /dev/null @@ -1,24 +0,0 @@ ---- -title: Installation -description: Covers the installation of hcaptcha-challenger. ---- - -## PyPI - -To install [hcaptcha-challenger](https://pypi.org/project/hcaptcha-challenger/), simply run this simple command in your terminal of choice: - -```bash -pip install -U hcaptcha-challenger -``` - -Download the Playwright single instance feature (recommended): - -```bash -pip install -U hcaptcha-challenger[playwright] -``` - -## Optional Features - -- `playwright`: Download the dependencies associated with Playwright, and you can load human verification directly using hcaptcha-challenger. -- `sentinel`: Also download Playwright and PyGithub dependencies for developers to collect data and submit datasets. -- `server`: (🚧preview) Also download `sentinel` and additional fastapi and uvicorn dependencies. In the future we will implement something like CLIP-as-service, where you can load high performance solvers locally. diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/02-quick-start.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/02-quick-start.md deleted file mode 100644 index 5aff608..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/02-quick-start.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: QuickStart -description: Gives a good introduction in how to get started with hcaptcha-challenger. ---- - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/03-advanced.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/03-advanced.md deleted file mode 100644 index 52b20e7..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/03-advanced.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Advanced Usage -description: Covers some of hcaptcha-challenger more advanced features. ---- - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/index.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/index.md deleted file mode 100644 index 9d49402..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/getting-started/index.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: Getting Started -sidebar_position: 2 ---- - -import DocCardList from '@theme/DocCardList'; - - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/01-objects.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/01-objects.md deleted file mode 100644 index 0cdf86a..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/01-objects.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Asset Objects -description: A collection of indexed objects for model resources ---- - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/05-modelhub.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/05-modelhub.md deleted file mode 100644 index d709e10..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/05-modelhub.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: ModelHub -description: ModelHub is ALL Your Need! ---- - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/10-AgentT.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/10-AgentT.md deleted file mode 100644 index 1bf1bad..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/10-AgentT.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: AgentT -description: Best Practices for Web-Driven Objects, Loading CAPTCHA and Solving Challenges. ---- - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/99-troubleshooting.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/99-troubleshooting.md deleted file mode 100644 index 3b5e935..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/99-troubleshooting.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Troubleshooting -description: Summarize common errors and their corresponding solutions ---- - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/index.md b/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/index.md deleted file mode 100644 index f69bc1f..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-docs/current/guides/index.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: Guides -sidebar_position: 20 ---- - -import DocCardList from '@theme/DocCardList'; - - diff --git a/i18n/zh-Hans/docusaurus-plugin-content-pages/markdown-page.md b/i18n/zh-Hans/docusaurus-plugin-content-pages/markdown-page.md deleted file mode 100644 index 9756c5b..0000000 --- a/i18n/zh-Hans/docusaurus-plugin-content-pages/markdown-page.md +++ /dev/null @@ -1,7 +0,0 @@ ---- -title: Markdown page example ---- - -# Markdown page example - -You don't need React to write simple standalone pages. diff --git a/i18n/zh-Hans/docusaurus-theme-classic/footer.json b/i18n/zh-Hans/docusaurus-theme-classic/footer.json deleted file mode 100644 index 776366a..0000000 --- a/i18n/zh-Hans/docusaurus-theme-classic/footer.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "copyright": { - "message": "Copyright © 2023 CaptchaAgent. All right.", - "description": "The footer copyright" - } -} diff --git a/i18n/zh-Hans/docusaurus-theme-classic/navbar.json b/i18n/zh-Hans/docusaurus-theme-classic/navbar.json deleted file mode 100644 index a061956..0000000 --- a/i18n/zh-Hans/docusaurus-theme-classic/navbar.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "title": { - "message": "CaptchaAgent", - "description": "The title in the navbar" - }, - "logo.alt": { - "message": "CaptchaAgent", - "description": "The alt text of navbar logo" - }, - "item.label.Docs": { - "message": "Docs", - "description": "Navbar item with label Docs" - }, - "item.label.Blog": { - "message": "Blog", - "description": "Navbar item with label Blog" - }, - "item.label.GitHub": { - "message": "GitHub", - "description": "Navbar item with label GitHub" - } -} diff --git a/static/img/CaptchaAgent-social-card.jpg b/img/CaptchaAgent-social-card.jpg similarity index 100% rename from static/img/CaptchaAgent-social-card.jpg rename to img/CaptchaAgent-social-card.jpg diff --git a/static/img/favicon.png b/img/favicon.png similarity index 100% rename from static/img/favicon.png rename to img/favicon.png diff --git a/static/img/favicon2.png b/img/favicon2.png similarity index 100% rename from static/img/favicon2.png rename to img/favicon2.png diff --git a/static/img/logo.png b/img/logo.png similarity index 100% rename from static/img/logo.png rename to img/logo.png diff --git a/static/img/undraw_docusaurus_mountain.svg b/img/undraw_docusaurus_mountain.svg similarity index 100% rename from static/img/undraw_docusaurus_mountain.svg rename to img/undraw_docusaurus_mountain.svg diff --git a/static/img/undraw_docusaurus_react.svg b/img/undraw_docusaurus_react.svg similarity index 100% rename from static/img/undraw_docusaurus_react.svg rename to img/undraw_docusaurus_react.svg diff --git a/static/img/undraw_docusaurus_tree.svg b/img/undraw_docusaurus_tree.svg similarity index 100% rename from static/img/undraw_docusaurus_tree.svg rename to img/undraw_docusaurus_tree.svg diff --git a/index.html b/index.html new file mode 100644 index 0000000..4229c8d --- /dev/null +++ b/index.html @@ -0,0 +1,18 @@ + + + + + +CaptchaAgent + + + + + + + + + +
+ + \ No newline at end of file diff --git a/markdown-page/index.html b/markdown-page/index.html new file mode 100644 index 0000000..42b24d6 --- /dev/null +++ b/markdown-page/index.html @@ -0,0 +1,19 @@ + + + + + +Markdown page example | CaptchaAgent + + + + + + + + + +

Markdown page example

+

You don't need React to write simple standalone pages.

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/opensearch.xml b/opensearch.xml new file mode 100644 index 0000000..8763603 --- /dev/null +++ b/opensearch.xml @@ -0,0 +1,11 @@ + + + CaptchaAgent + Search CaptchaAgent + UTF-8 + https://docs.captchax.top/img/favicon2.png + + + https://docs.captchax.top/ + \ No newline at end of file diff --git a/package.json b/package.json deleted file mode 100644 index 578116e..0000000 --- a/package.json +++ /dev/null @@ -1,44 +0,0 @@ -{ - "name": "CaptchaAgent", - "version": "0.1.0", - "private": true, - "scripts": { - "docusaurus": "docusaurus", - "start": "docusaurus start", - "build": "docusaurus build", - "swizzle": "docusaurus swizzle", - "deploy": "docusaurus deploy", - "clear": "docusaurus clear", - "serve": "docusaurus serve", - "write-translations": "docusaurus write-translations", - "write-heading-ids": "docusaurus write-heading-ids" - }, - "dependencies": { - "@docusaurus/core": "3.0.0", - "@docusaurus/preset-classic": "3.0.0", - "@mdx-js/react": "^3.0.0", - "clsx": "^1.2.1", - "prism-react-renderer": "^2.1.0", - "react": "^18.0.0", - "react-dom": "^18.0.0" - }, - "devDependencies": { - "@docusaurus/module-type-aliases": "3.0.0", - "@docusaurus/types": "3.0.0" - }, - "browserslist": { - "production": [ - ">0.5%", - "not dead", - "not op_mini all" - ], - "development": [ - "last 3 chrome version", - "last 3 firefox version", - "last 5 safari version" - ] - }, - "engines": { - "node": ">=18.0" - } -} diff --git a/search/index.html b/search/index.html new file mode 100644 index 0000000..dfcd6dc --- /dev/null +++ b/search/index.html @@ -0,0 +1,18 @@ + + + + + +Search the documentation | CaptchaAgent + + + + + + + + + +

Search the documentation

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/sidebars.js b/sidebars.js deleted file mode 100644 index 9ab54c2..0000000 --- a/sidebars.js +++ /dev/null @@ -1,33 +0,0 @@ -/** - * Creating a sidebar enables you to: - - create an ordered group of docs - - render a sidebar for each doc of that group - - provide next/previous navigation - - The sidebars can be generated from the filesystem, or explicitly defined here. - - Create as many sidebars as you want. - */ - -// @ts-check - -/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */ -const sidebars = { - // By default, Docusaurus generates a sidebar from the docs folder structure - tutorialSidebar: [{type: 'autogenerated', dirName: '.'}], - - // But you can create a sidebar manually - /* - tutorialSidebar: [ - 'intro', - 'hello', - { - type: 'category', - label: 'Tutorial', - items: ['tutorial-basics/create-a-document'], - }, - ], - */ -}; - -module.exports = sidebars; diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 0000000..0ab347e --- /dev/null +++ b/sitemap.xml @@ -0,0 +1 @@ +https://docs.captchax.top/blogweekly0.5https://docs.captchax.top/blog/archiveweekly0.5https://docs.captchax.top/blog/bot-revolution-2023weekly0.5https://docs.captchax.top/blog/can-dogs-smileweekly0.5https://docs.captchax.top/blog/draw-a-tight-bounding-box-around-the-xweekly0.5https://docs.captchax.top/blog/how-old-is-that-kittenweekly0.5https://docs.captchax.top/blog/please-click-on-the-xweekly0.5https://docs.captchax.top/blog/tagsweekly0.5https://docs.captchax.top/blog/tags/h-ci-challengeweekly0.5https://docs.captchax.top/blog/tags/hci-challengeweekly0.5https://docs.captchax.top/blog/vit-zero-shot-tasks-1weekly0.5https://docs.captchax.top/markdown-pageweekly0.5https://docs.captchax.top/searchweekly0.5https://docs.captchax.top/docs/community/weekly0.5https://docs.captchax.top/docs/community/readmeweekly0.5https://docs.captchax.top/docs/examples/weekly0.5https://docs.captchax.top/docs/examples/automatic-image-annotationweekly0.5https://docs.captchax.top/docs/examples/integration-with-discord-genweekly0.5https://docs.captchax.top/docs/examples/integration-with-epic-claimerweekly0.5https://docs.captchax.top/docs/examples/self-supervised-challengeweekly0.5https://docs.captchax.top/docs/getting-started/weekly0.5https://docs.captchax.top/docs/getting-started/advancedweekly0.5https://docs.captchax.top/docs/getting-started/installationweekly0.5https://docs.captchax.top/docs/getting-started/quick-startweekly0.5https://docs.captchax.top/docs/guides/weekly0.5https://docs.captchax.top/docs/guides/AgentTweekly0.5https://docs.captchax.top/docs/guides/modelhubweekly0.5https://docs.captchax.top/docs/guides/objectsweekly0.5https://docs.captchax.top/docs/guides/troubleshootingweekly0.5https://docs.captchax.top/docs/introweekly0.5https://docs.captchax.top/weekly0.5 \ No newline at end of file diff --git a/src/components/HomepageFeatures/index.js b/src/components/HomepageFeatures/index.js deleted file mode 100644 index 78f410b..0000000 --- a/src/components/HomepageFeatures/index.js +++ /dev/null @@ -1,64 +0,0 @@ -import React from 'react'; -import clsx from 'clsx'; -import styles from './styles.module.css'; - -const FeatureList = [ - { - title: 'Easy to Use', - Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default, - description: ( - <> - Docusaurus was designed from the ground up to be easily installed and - used to get your website up and running quickly. - - ), - }, - { - title: 'Focus on What Matters', - Svg: require('@site/static/img/undraw_docusaurus_tree.svg').default, - description: ( - <> - Docusaurus lets you focus on your docs, and we'll do the chores. Go - ahead and move your docs into the docs directory. - - ), - }, - { - title: 'Powered by React', - Svg: require('@site/static/img/undraw_docusaurus_react.svg').default, - description: ( - <> - Extend or customize your website layout by reusing React. Docusaurus can - be extended while reusing the same header and footer. - - ), - }, -]; - -function Feature({Svg, title, description}) { - return ( -
-
- -
-
-

{title}

-

{description}

-
-
- ); -} - -export default function HomepageFeatures() { - return ( -
-
-
- {FeatureList.map((props, idx) => ( - - ))} -
-
-
- ); -} diff --git a/src/components/HomepageFeatures/styles.module.css b/src/components/HomepageFeatures/styles.module.css deleted file mode 100644 index b248eb2..0000000 --- a/src/components/HomepageFeatures/styles.module.css +++ /dev/null @@ -1,11 +0,0 @@ -.features { - display: flex; - align-items: center; - padding: 2rem 0; - width: 100%; -} - -.featureSvg { - height: 200px; - width: 200px; -} diff --git a/src/css/custom.css b/src/css/custom.css deleted file mode 100644 index 75123a5..0000000 --- a/src/css/custom.css +++ /dev/null @@ -1,74 +0,0 @@ -/** - * Any CSS included here will be global. The classic template - * bundles Infima by default. Infima is a CSS framework designed to - * work well for content-centric websites. - */ - -/* You can override the default Infima variables here. */ -/* :root { - --ifm-color-primary: #2e8555; - --ifm-color-primary-dark: #29784c; - --ifm-color-primary-darker: #277148; - --ifm-color-primary-darkest: #205d3b; - --ifm-color-primary-light: #33925d; - --ifm-color-primary-lighter: #359962; - --ifm-color-primary-lightest: #3cad6e; - --ifm-code-font-size: 95%; - --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1); -} */ - -/* For readability concerns, you should choose a lighter palette in dark mode. */ -/* [data-theme='dark'] { - --ifm-color-primary: #25c2a0; - --ifm-color-primary-dark: #21af90; - --ifm-color-primary-darker: #1fa588; - --ifm-color-primary-darkest: #1a8870; - --ifm-color-primary-light: #29d5b0; - --ifm-color-primary-lighter: #32d8b4; - --ifm-color-primary-lightest: #4fddbf; - --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3); -} */ - -/* 设置选中字体的区域背景颜色 */ -::selection { - background: #dae3ea; - color: #34495e; -} - -::-moz-selection { - background: #dae3ea; - color: #34495e; -} - -::-webkit-selection { - background: #dae3ea; - color: #34495e; -} - -:root { - --ifm-color-primary: #185a9d; - --ifm-color-primary-dark: #16518d; - --ifm-color-primary-darker: #144c85; - --ifm-color-primary-darkest: #113f6e; - --ifm-color-primary-light: #175697; - --ifm-color-primary-lighter: #16518d; - --ifm-color-primary-lightest: #13487e; - --ifm-font-color-base: #34495e; - --ifm-code-font-size: 95%; - --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.059); -} - -[data-theme='dark'] { - --ifm-color-primary: #4ae679; - --ifm-color-primary-dark: #3de46f; - --ifm-color-primary-darker: #22e05b; - --ifm-color-primary-darkest: #1ed856; - --ifm-color-primary-light: #65ea8d; - --ifm-color-primary-lighter: #72ec97; - --ifm-color-primary-lightest: #9af1b4; - --ifm-font-color-base: #e3e3e3; - --ifm-background-color: #2e2e2e; - --ifm-color-primary-lightest: #4fddbf; - --docusaurus-highlighted-code-line-bg: rgba(106, 122, 131, 0.082); - -} \ No newline at end of file diff --git a/src/pages/index.js b/src/pages/index.js deleted file mode 100644 index c85e5c7..0000000 --- a/src/pages/index.js +++ /dev/null @@ -1,43 +0,0 @@ -import React from 'react'; -import clsx from 'clsx'; -import Link from '@docusaurus/Link'; -import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; -import Layout from '@theme/Layout'; -import HomepageFeatures from '@site/src/components/HomepageFeatures'; - -import styles from './index.module.css'; -import { Redirect } from '@docusaurus/router'; - -function HomepageHeader() { - const { siteConfig } = useDocusaurusContext(); - return ( -
-
-

{siteConfig.title}

-

{siteConfig.tagline}

-
- - Docusaurus Tutorial - 5min ⏱️ - -
-
-
- ); -} - -export default function Home() { - const { siteConfig } = useDocusaurusContext(); - // return ( - // - // - //
- // - //
- // - // ); - return ; -} diff --git a/src/pages/index.module.css b/src/pages/index.module.css deleted file mode 100644 index 9f71a5d..0000000 --- a/src/pages/index.module.css +++ /dev/null @@ -1,23 +0,0 @@ -/** - * CSS files with the .module.css suffix will be treated as CSS modules - * and scoped locally. - */ - -.heroBanner { - padding: 4rem 0; - text-align: center; - position: relative; - overflow: hidden; -} - -@media screen and (max-width: 996px) { - .heroBanner { - padding: 2rem; - } -} - -.buttons { - display: flex; - align-items: center; - justify-content: center; -} diff --git a/src/pages/markdown-page.md b/src/pages/markdown-page.md deleted file mode 100644 index 9756c5b..0000000 --- a/src/pages/markdown-page.md +++ /dev/null @@ -1,7 +0,0 @@ ---- -title: Markdown page example ---- - -# Markdown page example - -You don't need React to write simple standalone pages. diff --git a/yarn.lock b/yarn.lock deleted file mode 100644 index 041aee3..0000000 --- a/yarn.lock +++ /dev/null @@ -1,11988 +0,0 @@ -# This file is generated by running "yarn install" inside your project. -# Manual changes might be lost - 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0===t.processingTimeMS?e:e+t.processingTimeMS}),0),this.disjunctiveFacets=[],this.hierarchicalFacets=e.hierarchicalFacets.map((function(){return[]})),this.facets=[];var h=e.getRefinedDisjunctiveFacets(),f=d(e.facets),v=d(e.disjunctiveFacets),g=1,y=s.facets||{};Object.keys(y).forEach((function(t){var r,n,i=y[t],o=(r=e.hierarchicalFacets,n=t,a(r,(function(e){return(e.attributes||[]).indexOf(n)>-1})));if(o){var h=o.attributes.indexOf(t),l=c(e.hierarchicalFacets,(function(e){return e.name===o.name}));u.hierarchicalFacets[l][h]={attribute:t,data:i,exhaustive:s.exhaustiveFacetsCount}}else{var m,d=-1!==e.disjunctiveFacets.indexOf(t),g=-1!==e.facets.indexOf(t);d&&(m=v[t],u.disjunctiveFacets[m]={name:t,data:i,exhaustive:s.exhaustiveFacetsCount},p(u.disjunctiveFacets[m],s.facets_stats,t)),g&&(m=f[t],u.facets[m]={name:t,data:i,exhaustive:s.exhaustiveFacetsCount},p(u.facets[m],s.facets_stats,t))}})),this.hierarchicalFacets=n(this.hierarchicalFacets),h.forEach((function(r){var n=t[g],a=n&&n.facets?n.facets:{},h=e.getHierarchicalFacetByName(r);Object.keys(a).forEach((function(t){var r,f=a[t];if(h){r=c(e.hierarchicalFacets,(function(e){return e.name===h.name}));var m=c(u.hierarchicalFacets[r],(function(e){return e.attribute===t}));if(-1===m)return;u.hierarchicalFacets[r][m].data=o({},u.hierarchicalFacets[r][m].data,f)}else{r=v[t];var d=s.facets&&s.facets[t]||{};u.disjunctiveFacets[r]={name:t,data:i({},f,d),exhaustive:n.exhaustiveFacetsCount},p(u.disjunctiveFacets[r],n.facets_stats,t),e.disjunctiveFacetsRefinements[t]&&e.disjunctiveFacetsRefinements[t].forEach((function(n){!u.disjunctiveFacets[r].data[n]&&e.disjunctiveFacetsRefinements[t].indexOf(l(n))>-1&&(u.disjunctiveFacets[r].data[n]=0)}))}})),g++})),e.getRefinedHierarchicalFacets().forEach((function(r){var n=e.getHierarchicalFacetByName(r),s=e._getHierarchicalFacetSeparator(n),a=e.getHierarchicalRefinement(r);0===a.length||a[0].split(s).length<2||t.slice(g).forEach((function(t){var r=t&&t.facets?t.facets:{};Object.keys(r).forEach((function(t){var o=r[t],h=c(e.hierarchicalFacets,(function(e){return e.name===n.name})),f=c(u.hierarchicalFacets[h],(function(e){return e.attribute===t}));if(-1!==f){var l={};if(a.length>0){var m=a[0].split(s)[0];l[m]=u.hierarchicalFacets[h][f].data[m]}u.hierarchicalFacets[h][f].data=i(l,o,u.hierarchicalFacets[h][f].data)}})),g++}))})),Object.keys(e.facetsExcludes).forEach((function(t){var r=e.facetsExcludes[t],n=f[t];u.facets[n]={name:t,data:y[t],exhaustive:s.exhaustiveFacetsCount},r.forEach((function(e){u.facets[n]=u.facets[n]||{name:t},u.facets[n].data=u.facets[n].data||{},u.facets[n].data[e]=0}))})),this.hierarchicalFacets=this.hierarchicalFacets.map(m(e)),this.facets=n(this.facets),this.disjunctiveFacets=n(this.disjunctiveFacets),this._state=e}function g(e,t){function r(e){return e.name===t}if(e._state.isConjunctiveFacet(t)){var n=a(e.facets,r);return n?Object.keys(n.data).map((function(r){var i=f(r);return{name:r,escapedValue:i,count:n.data[r],isRefined:e._state.isFacetRefined(t,i),isExcluded:e._state.isExcludeRefined(t,r)}})):[]}if(e._state.isDisjunctiveFacet(t)){var i=a(e.disjunctiveFacets,r);return i?Object.keys(i.data).map((function(r){var n=f(r);return{name:r,escapedValue:n,count:i.data[r],isRefined:e._state.isDisjunctiveFacetRefined(t,n)}})):[]}if(e._state.isHierarchicalFacet(t)){var s=a(e.hierarchicalFacets,r);if(!s)return s;var c=e._state.getHierarchicalFacetByName(t),u=e._state._getHierarchicalFacetSeparator(c),o=l(e._state.getHierarchicalRefinement(t)[0]||"");0===o.indexOf(c.rootPath)&&(o=o.replace(c.rootPath+u,""));var h=o.split(u);return h.unshift(t),y(s,h,0),s}}function y(e,t,r){e.isRefined=e.name===t[r],e.data&&e.data.forEach((function(e){y(e,t,r+1)}))}function R(e,t,r,n){if(n=n||0,Array.isArray(t))return e(t,r[n]);if(!t.data||0===t.data.length)return t;var s=t.data.map((function(t){return R(e,t,r,n+1)})),a=e(s,r[n]);return i({data:a},t)}function F(e,t){var r=a(e,(function(e){return e.name===t}));return r&&r.stats}function b(e,t,r,n,i){var s=a(i,(function(e){return e.name===r})),c=s&&s.data&&s.data[n]?s.data[n]:0,u=s&&s.exhaustive||!1;return{type:t,attributeName:r,name:n,count:c,exhaustive:u}}v.prototype.getFacetByName=function(e){function t(t){return t.name===e}return a(this.facets,t)||a(this.disjunctiveFacets,t)||a(this.hierarchicalFacets,t)},v.DEFAULT_SORT=["isRefined:desc","count:desc","name:asc"],v.prototype.getFacetValues=function(e,t){var r=g(this,e);if(r){var n,s=i({},t,{sortBy:v.DEFAULT_SORT,facetOrdering:!(t&&t.sortBy)}),a=this;if(Array.isArray(r))n=[e];else n=a._state.getHierarchicalFacetByName(r.name).attributes;return R((function(e,t){if(s.facetOrdering){var r=function(e,t){return e.renderingContent&&e.renderingContent.facetOrdering&&e.renderingContent.facetOrdering.values&&e.renderingContent.facetOrdering.values[t]}(a,t);if(r)return function(e,t){var r=[],n=[],i=(t.order||[]).reduce((function(e,t,r){return e[t]=r,e}),{});e.forEach((function(e){var t=e.path||e.name;void 0!==i[t]?r[i[t]]=e:n.push(e)})),r=r.filter((function(e){return e}));var s,a=t.sortRemainingBy;return"hidden"===a?r:(s="alpha"===a?[["path","name"],["asc","asc"]]:[["count"],["desc"]],r.concat(h(n,s[0],s[1])))}(e,r)}if(Array.isArray(s.sortBy)){var n=u(s.sortBy,v.DEFAULT_SORT);return h(e,n[0],n[1])}if("function"==typeof s.sortBy)return function(e,t){return t.sort(e)}(s.sortBy,e);throw new Error("options.sortBy is optional but if defined it must be either an array of string (predicates) or a sorting function")}),r,n)}},v.prototype.getFacetStats=function(e){return this._state.isConjunctiveFacet(e)?F(this.facets,e):this._state.isDisjunctiveFacet(e)?F(this.disjunctiveFacets,e):void 0},v.prototype.getRefinements=function(){var e=this._state,t=this,r=[];return Object.keys(e.facetsRefinements).forEach((function(n){e.facetsRefinements[n].forEach((function(i){r.push(b(e,"facet",n,i,t.facets))}))})),Object.keys(e.facetsExcludes).forEach((function(n){e.facetsExcludes[n].forEach((function(i){r.push(b(e,"exclude",n,i,t.facets))}))})),Object.keys(e.disjunctiveFacetsRefinements).forEach((function(n){e.disjunctiveFacetsRefinements[n].forEach((function(i){r.push(b(e,"disjunctive",n,i,t.disjunctiveFacets))}))})),Object.keys(e.hierarchicalFacetsRefinements).forEach((function(n){e.hierarchicalFacetsRefinements[n].forEach((function(i){r.push(function(e,t,r,n){var i=e.getHierarchicalFacetByName(t),s=e._getHierarchicalFacetSeparator(i),c=r.split(s),u=a(n,(function(e){return e.name===t})),o=c.reduce((function(e,t){var r=e&&a(e.data,(function(e){return e.name===t}));return void 0!==r?r:e}),u),h=o&&o.count||0,f=o&&o.exhaustive||!1,l=o&&o.path||"";return{type:"hierarchical",attributeName:t,name:l,count:h,exhaustive:f}}(e,n,i,t.hierarchicalFacets))}))})),Object.keys(e.numericRefinements).forEach((function(t){var n=e.numericRefinements[t];Object.keys(n).forEach((function(e){n[e].forEach((function(n){r.push({type:"numeric",attributeName:t,name:n,numericValue:n,operator:e})}))}))})),e.tagRefinements.forEach((function(e){r.push({type:"tag",attributeName:"_tags",name:e})})),r},e.exports=v},9374:(e,t,r)=>{"use strict";var n=r(7331),i=r(8078),s=r(4039).escapeFacetValue,a=r(4853),c=r(185),u=r(116),o=r(9803),h=r(6394),f=r(7775),l=r(3076),m=r(4336);function d(e,t,r){"function"==typeof e.addAlgoliaAgent&&e.addAlgoliaAgent("JS Helper ("+m+")"),this.setClient(e);var n=r||{};n.index=t,this.state=f.make(n),this.lastResults=null,this._queryId=0,this._lastQueryIdReceived=-1,this.derivedHelpers=[],this._currentNbQueries=0}function p(e){if(e<0)throw new Error("Page requested below 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l(r,e.results),r)})).catch((function(e){i._currentNbQueries--,0===i._currentNbQueries&&i.emit("searchQueueEmpty"),t(e,null,r)}))},d.prototype.findAnswers=function(e){console.warn("[algoliasearch-helper] answers is no longer supported");var t=this.state,r=this.derivedHelpers[0];if(!r)return Promise.resolve([]);var n=r.getModifiedState(t),i=c({attributesForPrediction:e.attributesForPrediction,nbHits:e.nbHits},{params:o(h._getHitsSearchParams(n),["attributesToSnippet","hitsPerPage","restrictSearchableAttributes","snippetEllipsisText"])}),s="search for answers was called, but this client does not have a function client.initIndex(index).findAnswers";if("function"!=typeof this.client.initIndex)throw new Error(s);var a=this.client.initIndex(n.index);if("function"!=typeof a.findAnswers)throw new Error(s);return a.findAnswers(n.query,e.queryLanguages,i)},d.prototype.searchForFacetValues=function(e,t,r,n){var i="function"==typeof this.client.searchForFacetValues,a="function"==typeof this.client.initIndex;if(!i&&!a&&"function"!=typeof this.client.search)throw new Error("search for facet values (searchable) was called, but this client does not have a function client.searchForFacetValues or client.initIndex(index).searchForFacetValues");var c=this.state.setQueryParameters(n||{}),u=c.isDisjunctiveFacet(e),o=h.getSearchForFacetQuery(e,t,r,c);this._currentNbQueries++;var f,l=this;return i?f=this.client.searchForFacetValues([{indexName:c.index,params:o}]):a?f=this.client.initIndex(c.index).searchForFacetValues(o):(delete o.facetName,f=this.client.search([{type:"facet",facet:e,indexName:c.index,params:o}]).then((function(e){return e.results[0]}))),this.emit("searchForFacetValues",{state:c,facet:e,query:t}),f.then((function(t){return l._currentNbQueries--,0===l._currentNbQueries&&l.emit("searchQueueEmpty"),(t=Array.isArray(t)?t[0]:t).facetHits.forEach((function(t){t.escapedValue=s(t.value),t.isRefined=u?c.isDisjunctiveFacetRefined(e,t.escapedValue):c.isFacetRefined(e,t.escapedValue)})),t}),(function(e){throw l._currentNbQueries--,0===l._currentNbQueries&&l.emit("searchQueueEmpty"),e}))},d.prototype.setQuery=function(e){return this._change({state:this.state.resetPage().setQuery(e),isPageReset:!0}),this},d.prototype.clearRefinements=function(e){return this._change({state:this.state.resetPage().clearRefinements(e),isPageReset:!0}),this},d.prototype.clearTags=function(){return this._change({state:this.state.resetPage().clearTags(),isPageReset:!0}),this},d.prototype.addDisjunctiveFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().addDisjunctiveFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.addDisjunctiveRefine=function(){return this.addDisjunctiveFacetRefinement.apply(this,arguments)},d.prototype.addHierarchicalFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().addHierarchicalFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.addNumericRefinement=function(e,t,r){return this._change({state:this.state.resetPage().addNumericRefinement(e,t,r),isPageReset:!0}),this},d.prototype.addFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().addFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.addRefine=function(){return this.addFacetRefinement.apply(this,arguments)},d.prototype.addFacetExclusion=function(e,t){return this._change({state:this.state.resetPage().addExcludeRefinement(e,t),isPageReset:!0}),this},d.prototype.addExclude=function(){return this.addFacetExclusion.apply(this,arguments)},d.prototype.addTag=function(e){return this._change({state:this.state.resetPage().addTagRefinement(e),isPageReset:!0}),this},d.prototype.removeNumericRefinement=function(e,t,r){return this._change({state:this.state.resetPage().removeNumericRefinement(e,t,r),isPageReset:!0}),this},d.prototype.removeDisjunctiveFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().removeDisjunctiveFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.removeDisjunctiveRefine=function(){return this.removeDisjunctiveFacetRefinement.apply(this,arguments)},d.prototype.removeHierarchicalFacetRefinement=function(e){return this._change({state:this.state.resetPage().removeHierarchicalFacetRefinement(e),isPageReset:!0}),this},d.prototype.removeFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().removeFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.removeRefine=function(){return this.removeFacetRefinement.apply(this,arguments)},d.prototype.removeFacetExclusion=function(e,t){return this._change({state:this.state.resetPage().removeExcludeRefinement(e,t),isPageReset:!0}),this},d.prototype.removeExclude=function(){return this.removeFacetExclusion.apply(this,arguments)},d.prototype.removeTag=function(e){return this._change({state:this.state.resetPage().removeTagRefinement(e),isPageReset:!0}),this},d.prototype.toggleFacetExclusion=function(e,t){return this._change({state:this.state.resetPage().toggleExcludeFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.toggleExclude=function(){return this.toggleFacetExclusion.apply(this,arguments)},d.prototype.toggleRefinement=function(e,t){return this.toggleFacetRefinement(e,t)},d.prototype.toggleFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().toggleFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.toggleRefine=function(){return this.toggleFacetRefinement.apply(this,arguments)},d.prototype.toggleTag=function(e){return this._change({state:this.state.resetPage().toggleTagRefinement(e),isPageReset:!0}),this},d.prototype.nextPage=function(){var e=this.state.page||0;return this.setPage(e+1)},d.prototype.previousPage=function(){var e=this.state.page||0;return this.setPage(e-1)},d.prototype.setCurrentPage=p,d.prototype.setPage=p,d.prototype.setIndex=function(e){return this._change({state:this.state.resetPage().setIndex(e),isPageReset:!0}),this},d.prototype.setQueryParameter=function(e,t){return this._change({state:this.state.resetPage().setQueryParameter(e,t),isPageReset:!0}),this},d.prototype.setState=function(e){return this._change({state:f.make(e),isPageReset:!1}),this},d.prototype.overrideStateWithoutTriggeringChangeEvent=function(e){return this.state=new 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t=[];if(this.state.isConjunctiveFacet(e))this.state.getConjunctiveRefinements(e).forEach((function(e){t.push({value:e,type:"conjunctive"})})),this.state.getExcludeRefinements(e).forEach((function(e){t.push({value:e,type:"exclude"})}));else if(this.state.isDisjunctiveFacet(e)){this.state.getDisjunctiveRefinements(e).forEach((function(e){t.push({value:e,type:"disjunctive"})}))}var r=this.state.getNumericRefinements(e);return Object.keys(r).forEach((function(e){var n=r[e];t.push({value:n,operator:e,type:"numeric"})})),t},d.prototype.getNumericRefinement=function(e,t){return this.state.getNumericRefinement(e,t)},d.prototype.getHierarchicalFacetBreadcrumb=function(e){return this.state.getHierarchicalFacetBreadcrumb(e)},d.prototype._search=function(e){var t=this.state,r=[],n=[];e.onlyWithDerivedHelpers||(n=h._getQueries(t.index,t),r.push({state:t,queriesCount:n.length,helper:this}),this.emit("search",{state:t,results:this.lastResults}));var i=this.derivedHelpers.map((function(e){var 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It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score."]}),"\n",(0,a.jsx)(t.p,{children:(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/clip",children:"-- huggingface.co"})}),"\n"]}),"\n",(0,a.jsx)(t.p,{children:(0,a.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/3958bc6e52d9c3fc1fdabaf17657db76.png",alt:"CLIP"})}),"\n",(0,a.jsx)(t.h2,{id:"milestone",children:"Milestone"}),"\n",(0,a.jsx)(t.admonition,{type:"info",children:(0,a.jsxs)(t.p,{children:["We merged a ",(0,a.jsx)(t.a,{href:"https://github.com/QIN2DIM/hcaptcha-challenger/issues/858",children:"feature #858"})," to the main branch of ",(0,a.jsx)(t.a,{href:"https://github.com/QIN2DIM/hcaptcha-challenger",children:"hcaptcha-challenger"})," on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model."]})}),"\n",(0,a.jsxs)(t.p,{children:["Previously, we trained and used the ",(0,a.jsx)(t.a,{href:"https://github.com/CaptchaAgent/hcaptcha-model-factory/blob/main/src/factories/resnet.py#L28",children:"ResNet model"})," to handle the image classification challenge. The model network parameters are so small that our ",(0,a.jsx)(t.a,{href:"https://pytorch.org/tutorials/beginner/onnx/export_simple_model_to_onnx_tutorial.html",children:"exported"})," ResNet ",(0,a.jsx)(t.a,{href:"https://onnxruntime.ai/",children:"ONNX model"})," is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images."]}),"\n",(0,a.jsxs)(t.blockquote,{children:["\n",(0,a.jsxs)(t.p,{children:["But today, in 2023, there are so many key breakthroughs in ",(0,a.jsx)(t.a,{href:"https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiahvedm56CAxXEI0QIHQeMBLkQFnoECBkQAQ&url=https%3A%2F%2Fwww.ibm.com%2Ftopics%2Fcomputer-vision&usg=AOvVaw3K4rO-yHQ-RhOQjD0LbKZO&opi=89978449",children:"Computer Vision"})," that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA\ud83d\ude2e."]}),"\n"]}),"\n",(0,a.jsxs)(t.p,{children:["Thus, we also designed a ",(0,a.jsx)(t.a,{href:"https://github.com/CaptchaAgent/hcaptcha-model-factory/tree/main/automation",children:"factory workflow"})," based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data."]}),"\n",(0,a.jsx)(t.p,{children:"Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes."}),"\n",(0,a.jsx)(t.h2,{id:"automatic-image-annotation",children:"Automatic image annotation"}),"\n",(0,a.jsx)(t.admonition,{type:"note",children:(0,a.jsxs)(t.p,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/tasks/zero-shot-image-classification",children:"Zero shot image classification"})," is the task of classifying previously unseen classes during training of a model."]})}),"\n",(0,a.jsx)(t.p,{children:(0,a.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/6dcf0cdc5089fa33fae236ab7ab4a951.png",alt:"image-20231031022847507"})}),"\n",(0,a.jsxs)(t.p,{children:["We have been using CLIP in the factory workflow for ",(0,a.jsx)(t.a,{href:"https://en.wikipedia.org/wiki/Automatic_image_annotation",children:"automatic image annotation"})," tasks since 2022, and at that time, the accuracy of ",(0,a.jsx)(t.a,{href:"https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_classification_results.csv",children:"the best CLIP model"})," in dealing with ",(0,a.jsx)(t.a,{href:"https://huggingface.co/tasks/zero-shot-image-classification",children:"zero-shot image classification"})," was not satisfactory, but it was very useful for saving your time."]}),"\n",(0,a.jsx)(t.p,{children:"If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process."}),"\n",(0,a.jsx)(t.p,{children:"With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores."}),"\n",(0,a.jsx)(t.p,{children:(0,a.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/450ca5abdc2de3401c8f687d6952ffb2.jpg",alt:"Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1"})}),"\n",(0,a.jsxs)(t.p,{children:["It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of ",(0,a.jsx)("u",{children:"multi-categorizing a bunch of cluttered images"})," is quite different for human attention than ",(0,a.jsx)("u",{children:"identifying outliers in a bunch of images with similar overall characteristics"}),"."]}),"\n",(0,a.jsx)(t.h2,{id:"dilemmas-and-breakthroughs",children:"Dilemmas and breakthroughs"}),"\n",(0,a.jsx)(t.p,{children:"At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?"}),"\n",(0,a.jsxs)(t.p,{children:["This question stumped me. So much so that as projects like ",(0,a.jsx)(t.a,{href:"https://github.com/jina-ai/clip-as-service",children:"clip-as-service"})," started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.\ud83e\udd79"]}),"\n",(0,a.jsxs)(t.p,{children:["Note that you don't need much configuration to run the CLIP model, in the case of ",(0,a.jsx)(t.code,{children:"RN50.openai"})," you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time."]}),"\n",(0,a.jsxs)(t.p,{children:["With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ",(0,a.jsx)(t.a,{href:"https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_results.csv",children:"\u21aa\ufe0fbenchmarks"})]}),"\n",(0,a.jsxs)(t.blockquote,{children:["\n",(0,a.jsxs)(t.ul,{children:["\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/clip",children:"CLIP"}),' supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ','". The expectation is to get the category label as the answer.']}),"\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/owlvit",children:"OWL-ViT"})," allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to ",(0,a.jsx)(t.a,{href:"https://github.com/huggingface/notebooks/tree/main/examples#:~:text=zeroshot_object_detection_with_owlvit.ipynb",children:"this notebook"})," to learn more."]}),"\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/clipseg",children:"CLIPSeg"})," supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to ",(0,a.jsx)(t.a,{href:"https://huggingface.co/blog/clipseg-zero-shot",children:"this blog post"})," that illustrates this idea. ",(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/groupvit",children:"GroupViT"})," also supports zero-shot segmentation."]}),"\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/xclip",children:"X-CLIP"})," Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out ",(0,a.jsx)(t.a,{href:"https://github.com/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Zero_shot_classify_a_YouTube_video_with_X_CLIP.ipynb",children:"this notebook"})," for more details."]}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(t.p,{children:"At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU."}),"\n",(0,a.jsx)(t.p,{children:"In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide."}),"\n",(0,a.jsx)(t.p,{children:"That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment."}),"\n",(0,a.jsxs)(t.p,{children:["It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. ",(0,a.jsx)(t.a,{href:"https://huggingface.co/timm/mobilenetv3_large_100.ra_in1k",children:"mobilenetv3"})," and ",(0,a.jsx)(t.a,{href:"https://github.com/baaivision/EVA/tree/master/EVA-02/asuka",children:"EVA-02"}),") that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ",(0,a.jsx)(t.a,{href:"https://github.com/huggingface/pytorch-image-models/blob/main/results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv",children:"\u21aa\ufe0fbenchmarks"})]}),"\n",(0,a.jsxs)(t.p,{children:[(0,a.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/d101ab93a2687bf69889c2b38cc62541.png",alt:"radar"}),(0,a.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/8bf027fff3915204cd10e2bb7f2bc4d6.png",alt:"summary_tab"})]}),"\n",(0,a.jsx)(t.h2,{id:"scenarios-for-the-clip-onnx",children:"Scenarios for the CLIP-ONNX"}),"\n",(0,a.jsx)(t.p,{children:"As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance."}),"\n",(0,a.jsx)(t.p,{children:"It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?"}),"\n",(0,a.jsx)(t.p,{children:"\ud83d\udea7"}),"\n",(0,a.jsx)(t.h2,{id:"the-generation-of-the-llm",children:"The generation of the LLM"}),"\n",(0,a.jsx)(t.h3,{id:"visual-question-answering",children:"Visual Question Answering"}),"\n",(0,a.jsx)(t.admonition,{type:"note",children:(0,a.jsxs)(t.p,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/tasks/visual-question-answering",children:"Visual Question Answering"})," is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions."]})}),"\n",(0,a.jsx)(t.p,{children:(0,a.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/2a915379c573c45234bf03f9150a8133.png",alt:"image-20231031052543037"})}),"\n",(0,a.jsx)(t.h3,{id:"llm-openagents",children:"LLM OpenAgents"}),"\n",(0,a.jsx)(t.p,{children:"XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:"}),"\n",(0,a.jsxs)(t.ul,{children:["\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.strong,{children:"Data Agent"}),": The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks."]}),"\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.strong,{children:"Plugins Agent"}),": The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities."]}),"\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.strong,{children:"Web Agent"}),": The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on."]}),"\n"]}),"\n",(0,a.jsx)(t.p,{children:(0,a.jsx)(t.img,{src:"https://r2-datalake.echosec.top/blog-obs/2023/10/1960d1a546180a884df4a3aa7fd03d9f.png",alt:"image-20231031052746310"})}),"\n",(0,a.jsx)(t.h3,{id:"llm-with-the-clip-onnx",children:"LLM with the CLIP-ONNX"}),"\n",(0,a.jsx)(t.h3,{id:"llm-with-the-captchaagent",children:"LLM with the CaptchaAgent"})]})}function d(e={}){const{wrapper:t}={...(0,i.a)(),...e.components};return t?(0,a.jsx)(t,{...e,children:(0,a.jsx)(c,{...e})}):c(e)}},1151:(e,t,n)=>{n.d(t,{Z:()=>r,a:()=>o});var a=n(7294);const i={},s=a.createContext(i);function o(e){const t=a.useContext(s);return a.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function r(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(i):e.components||i:o(e.components),a.createElement(s.Provider,{value:t},e.children)}}}]); 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\ No newline at end of file diff --git a/zh-Hans/assets/js/48c7a9d6.db55cdec.js b/zh-Hans/assets/js/48c7a9d6.db55cdec.js new file mode 100644 index 0000000..b76568d --- /dev/null +++ b/zh-Hans/assets/js/48c7a9d6.db55cdec.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkCaptchaAgent=self.webpackChunkCaptchaAgent||[]).push([[5151],{7130:e=>{e.exports=JSON.parse('{"blogPosts":[{"id":"vit-zero-shot-tasks-1","metadata":{"permalink":"/zh-Hans/blog/vit-zero-shot-tasks-1","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-10-22-vit-zero-shot-tasks/index.md","source":"@site/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-10-22-vit-zero-shot-tasks/index.md","title":"\u96f6\u6837\u672c\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1","description":"Preview","date":"2023-10-22T00:00:00.000Z","formattedDate":"2023\u5e7410\u670822\u65e5","tags":[{"label":"HCI challenge","permalink":"/zh-Hans/blog/tags/hci-challenge"}],"readingTime":6.43,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"vit-zero-shot-tasks-1","title":"\u96f6\u6837\u672c\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1","authors":["QIN2DIM"],"tags":["HCI challenge"],"keywords":["hcaptcha","captcha","YOLOv8","ResNet","object detection","image segmentation","bounding box","clip","vit","huggingface","llm","OpenAgents","automatic image annotation","CaptchaAgent","GPT","ONNX","hcaptca-challenger"]},"unlisted":false,"nextItem":{"title":"\u5728\u76ee\u6807\u5468\u56f4\u753b\u4e00\u4e2a\u8fb9\u754c\u6846","permalink":"/zh-Hans/blog/draw-a-tight-bounding-box-around-the-x"}},"content":"## Preview\\n\\n> [CLIP](https://arxiv.org/abs/2103.00020) is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.\\n>\\n> [-- huggingface.co](https://huggingface.co/docs/transformers/model_doc/clip)\\n\\n![CLIP](https://r2-datalake.echosec.top/blog-obs/2023/10/3958bc6e52d9c3fc1fdabaf17657db76.png)\\n\\n## Milestone\\n\\n:::info\\n\\nWe merged a [feature #858](https://github.com/QIN2DIM/hcaptcha-challenger/issues/858) to the main branch of [hcaptcha-challenger](https://github.com/QIN2DIM/hcaptcha-challenger) on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.\\n\\n:::\\n\\nPreviously, we trained and used the [ResNet model](https://github.com/CaptchaAgent/hcaptcha-model-factory/blob/main/src/factories/resnet.py#L28) to handle the image classification challenge. The model network parameters are so small that our [exported](https://pytorch.org/tutorials/beginner/onnx/export_simple_model_to_onnx_tutorial.html) ResNet [ONNX model](https://onnxruntime.ai/) is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images. \\n\\n> But today, in 2023, there are so many key breakthroughs in [Computer Vision](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiahvedm56CAxXEI0QIHQeMBLkQFnoECBkQAQ&url=https%3A%2F%2Fwww.ibm.com%2Ftopics%2Fcomputer-vision&usg=AOvVaw3K4rO-yHQ-RhOQjD0LbKZO&opi=89978449) that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA\ud83d\ude2e.\\n\\nThus, we also designed a [factory workflow](https://github.com/CaptchaAgent/hcaptcha-model-factory/tree/main/automation) based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data. \\n\\nAlthough these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes. \\n\\n## Automatic image annotation\\n\\n:::note\\n\\n[Zero shot image classification](https://huggingface.co/tasks/zero-shot-image-classification) is the task of classifying previously unseen classes during training of a model.\\n\\n:::\\n\\n![image-20231031022847507](https://r2-datalake.echosec.top/blog-obs/2023/10/6dcf0cdc5089fa33fae236ab7ab4a951.png)\\n\\nWe have been using CLIP in the factory workflow for [automatic image annotation](https://en.wikipedia.org/wiki/Automatic_image_annotation) tasks since 2022, and at that time, the accuracy of [the best CLIP model](https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_classification_results.csv) in dealing with [zero-shot image classification](https://huggingface.co/tasks/zero-shot-image-classification) was not satisfactory, but it was very useful for saving your time.\\n\\nIf I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you\'re going to need a processing environment that\'s just right or you\'re going to have a very slow process.\\n\\nWith CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores. \\n\\n![Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1](https://r2-datalake.echosec.top/blog-obs/2023/10/450ca5abdc2de3401c8f687d6952ffb2.jpg)\\n\\nIt may seem like a bit of a contradiction in terms. But if you\'ve had this experience, you should know the difficulty of <u>multi-categorizing a bunch of cluttered images</u> is quite different for human attention than <u>identifying outliers in a bunch of images with similar overall characteristics</u>.\\n\\n## Dilemmas and breakthroughs\\n\\nAt the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don\'t rely on pytorch and GPUs?\\n\\nThis question stumped me. So much so that as projects like [clip-as-service](https://github.com/jina-ai/clip-as-service) started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.\ud83e\udd79\\n\\nNote that you don\'t need much configuration to run the CLIP model, in the case of `RN50.openai` you only need up to 500MB of RAM to run it, and we\'re just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can\'t possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.\\n\\nWith breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. [\u21aa\ufe0fbenchmarks](https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_results.csv)\\n\\n> - [CLIP](https://huggingface.co/docs/transformers/main/en/model_doc/clip) supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like \\"a picture of {}\\". The expectation is to get the category label as the answer.\\n> - [OWL-ViT](https://huggingface.co/docs/transformers/main/en/model_doc/owlvit) allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn\'t learn to detect them during training! You can refer to [this notebook](https://github.com/huggingface/notebooks/tree/main/examples#:~:text=zeroshot_object_detection_with_owlvit.ipynb) to learn more.\\n> - [CLIPSeg](https://huggingface.co/docs/transformers/model_doc/clipseg) supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn\'t learn to segment them during training! You can refer to [this blog post](https://huggingface.co/blog/clipseg-zero-shot) that illustrates this idea. [GroupViT](https://huggingface.co/docs/transformers/model_doc/groupvit) also supports zero-shot segmentation.\\n> - [X-CLIP](https://huggingface.co/docs/transformers/main/en/model_doc/xclip) Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out [this notebook](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Zero_shot_classify_a_YouTube_video_with_X_CLIP.ipynb) for more details.\\n\\nAt the same time, the higher the model\'s score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don\'t process fast enough on the CPU.\\n\\nIn the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.\\n\\nThat is, it specializes in a combination of abilities we don\'t yet need, but for which it can do things, we have better options in the moment.\\n\\nIt is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. [mobilenetv3](https://huggingface.co/timm/mobilenetv3_large_100.ra_in1k) and [EVA-02](https://github.com/baaivision/EVA/tree/master/EVA-02/asuka)) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. [\u21aa\ufe0fbenchmarks](https://github.com/huggingface/pytorch-image-models/blob/main/results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv)\\n\\n![radar](https://r2-datalake.echosec.top/blog-obs/2023/10/d101ab93a2687bf69889c2b38cc62541.png)![summary_tab](https://r2-datalake.echosec.top/blog-obs/2023/10/8bf027fff3915204cd10e2bb7f2bc4d6.png)\\n\\n## Scenarios for the CLIP-ONNX\\n\\nAs we mentioned earlier, for the automatic image annotation and remote service scenarios, we don\'t need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance. \\n\\nIt is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?\\n\\n\ud83d\udea7\\n\\n## The generation of the LLM\\n\\n### Visual Question Answering\\n\\n:::note\\n\\n[Visual Question Answering](https://huggingface.co/tasks/visual-question-answering) is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.\\n\\n:::\\n\\n![image-20231031052543037](https://r2-datalake.echosec.top/blog-obs/2023/10/2a915379c573c45234bf03f9150a8133.png)\\n\\n### LLM OpenAgents\\n\\nXLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:\\n\\n- **Data Agent**: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.\\n- **Plugins Agent**: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.\\n- **Web Agent**: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.\\n\\n![image-20231031052746310](https://r2-datalake.echosec.top/blog-obs/2023/10/1960d1a546180a884df4a3aa7fd03d9f.png)\\n\\n### LLM with the CLIP-ONNX\\n\\n### LLM with the CaptchaAgent"},{"id":"draw-a-tight-bounding-box-around-the-x","metadata":{"permalink":"/zh-Hans/blog/draw-a-tight-bounding-box-around-the-x","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md","source":"@site/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-28-draw-a-tight-bounding-box-around-the-x/index.md","title":"\u5728\u76ee\u6807\u5468\u56f4\u753b\u4e00\u4e2a\u8fb9\u754c\u6846","description":"Milestone","date":"2023-08-28T00:00:00.000Z","formattedDate":"2023\u5e748\u670828\u65e5","tags":[{"label":"HCI 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the [point type challenge](../2023-08-26-please-click-on-the-x/index.md), the principle of both similar challenges is object detection.\\n\\nHowever, the output of the `bounding box` method changes from the coordinates of the center point of the bounding box to the start and end points.\\n\\n```yaml\\nprompt: Draw a tight bounding box around the gu\u0456t\u0430r.\\ntype: bounding box\\n```\\n\\n![263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9](https://r2-datalake.echosec.top/blog-obs/2023/10/a8e4fd61370418f5e35ebdea07f45cba.png)"},{"id":"please-click-on-the-x","metadata":{"permalink":"/zh-Hans/blog/please-click-on-the-x","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-26-please-click-on-the-x/index.md","source":"@site/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-08-26-please-click-on-the-x/index.md","title":"\u5728\u76ee\u6807\u4e0a\u70b9\u51fb","description":"Milestone","date":"2023-08-26T00:00:00.000Z","formattedDate":"2023\u5e748\u670826\u65e5","tags":[{"label":"hCI challenge","permalink":"/zh-Hans/blog/tags/h-ci-challenge"}],"readingTime":0.205,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"please-click-on-the-x","title":"\u5728\u76ee\u6807\u4e0a\u70b9\u51fb","authors":["QIN2DIM"],"tags":["hCI challenge"],"keywords":["hcaptcha","captcha","YOLOv8","object detection","ONNX","hcaptca-challenger"]},"unlisted":false,"prevItem":{"title":"\u5728\u76ee\u6807\u5468\u56f4\u753b\u4e00\u4e2a\u8fb9\u754c\u6846","permalink":"/zh-Hans/blog/draw-a-tight-bounding-box-around-the-x"},"nextItem":{"title":"\u673a\u5668\u9769\u547d 2023","permalink":"/zh-Hans/blog/bot-revolution-2023"}},"content":"## Milestone\\n\\n[[Challenge] Please click on the X #588](https://github.com/QIN2DIM/hcaptcha-challenger/issues/588)\\n\\nThis is the first time we have trained the YOLOv8 model to handle a object detection task in a CAPTCHA challenge.\\n\\n```yaml\\nprompt: please click on the elephant\\ntype: point\\n```\\n\\n![263444792-8162bc5c-d13a-471f-84a7-28b22b9f3184](https://r2-datalake.echosec.top/blog-obs/2023/10/edba3bc365ef9057ae647d84877edeaa.png)"},{"id":"bot-revolution-2023","metadata":{"permalink":"/zh-Hans/blog/bot-revolution-2023","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-05-15-bot-revolution/index.md","source":"@site/i18n/zh-Hans/docusaurus-plugin-content-blog/2023-05-15-bot-revolution/index.md","title":"\u673a\u5668\u9769\u547d 2023","description":"You know Who I Am \ud83e\udd16","date":"2023-05-15T00:00:00.000Z","formattedDate":"2023\u5e745\u670815\u65e5","tags":[{"label":"HCI challenge","permalink":"/zh-Hans/blog/tags/hci-challenge"}],"readingTime":0.345,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"bot-revolution-2023","title":"\u673a\u5668\u9769\u547d 2023","authors":["QIN2DIM"],"tags":["HCI challenge"],"keywords":["hcaptcha","captcha","YOLOv8","object detection","Visual Question Answering","hcaptca-challenger"]},"unlisted":false,"prevItem":{"title":"\u5728\u76ee\u6807\u4e0a\u70b9\u51fb","permalink":"/zh-Hans/blog/please-click-on-the-x"},"nextItem":{"title":"\u79c0\u72d7\u5728\u7b11\uff1f","permalink":"/zh-Hans/blog/can-dogs-smile"}},"content":"## You know Who I Am \ud83e\udd16\\n\\n![image](https://user-images.githubusercontent.com/62018067/225232056-b31da9d8-02a8-4bf0-adf6-fba10ed8bbb8.png)\\n\\n## Related Challenges\\n\\n- [[*Challenge] image label area select #82](https://github.com/QIN2DIM/hcaptcha-challenger/issues/82)\\n- [[*Challenge] image label multiple choice #176](https://github.com/QIN2DIM/hcaptcha-challenger/issues/176)\\n- [[*Challenge] Draw a tight box around the toilet #236](https://github.com/QIN2DIM/hcaptcha-challenger/issues/236)\\n- [[*Challenge] Word \u039catching #241](https://github.com/QIN2DIM/hcaptcha-challenger/issues/241)\\n- [[*Challenge] Is the highlighted dot on the bigger squirrel? #459](https://github.com/QIN2DIM/hcaptcha-challenger/issues/459)\\n- [[*Challenge] center of the owl\'s head #471](https://github.com/QIN2DIM/hcaptcha-challenger/issues/471)\\n- [[*Challenge] please click the center of the X #479](https://github.com/QIN2DIM/hcaptcha-challenger/issues/479)"},{"id":"can-dogs-smile","metadata":{"permalink":"/zh-Hans/blog/can-dogs-smile","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-09-22-can-dogs-smile/index.md","source":"@site/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-09-22-can-dogs-smile/index.md","title":"\u79c0\u72d7\u5728\u7b11\uff1f","description":"How Do I Know If My Dog Is Smiling?","date":"2022-09-22T00:00:00.000Z","formattedDate":"2022\u5e749\u670822\u65e5","tags":[{"label":"HCI challenge","permalink":"/zh-Hans/blog/tags/hci-challenge"}],"readingTime":1,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"can-dogs-smile","title":"\u79c0\u72d7\u5728\u7b11\uff1f","authors":["QIN2DIM"],"tags":["HCI challenge"],"description":"How Do I Know If My Dog Is Smiling?","keywords":["hcaptcha","captcha","hcaptca-challenger"]},"unlisted":false,"prevItem":{"title":"\u673a\u5668\u9769\u547d 2023","permalink":"/zh-Hans/blog/bot-revolution-2023"},"nextItem":{"title":"\u4f60\u5bb6\u732b\u732b\u2026\u2026\u51e0\u5c81\uff01","permalink":"/zh-Hans/blog/how-old-is-that-kitten"}},"content":"![Snipaste_2023-10-31_06-34-58](https://r2-datalake.echosec.top/blog-obs/2023/11/beb1c7ad73b6372814691bbfd9e65603.png)\\n\\n## TL;TD\\n\\n**YES, BUT** it is worth mentioning that the dog is not always \\"smiling\\" when it opens its mouth, they\'re smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.\\n\\nIn the challenge, it doesn\'t really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.\\n\\n## How Do I Know If My Dog Is Smiling?\\n\\nThe ASPCA noted, \\"This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don\'t always mean aggression\u2014it is important to consider the whole body and the context to understand what a dog is saying.\\"\\n\\n## Reading\\n\\n- [Can Dogs Actually Smile? | Hill\'s Pet](https://www.hillspet.com/dog-care/behavior-appearance/can-dogs-smile)\\n- [Can Dogs Smile? | Blog - hCaptcha](https://www.hcaptcha.com/post/can-dogs-smile)\\n\\n## Related work\\n\\n- [[Challenge] smiling \u0501og #87](https://github.com/QIN2DIM/hcaptcha-challenger/issues/87)\\n- [[Challenge] dog with closed eyes #98](https://github.com/QIN2DIM/hcaptcha-challenger/issues/98)\\n- [[Challenge] dog without a collar #115](https://github.com/QIN2DIM/hcaptcha-challenger/issues/115)\\n- [[Challenge] dog with a collar on its neck #113](https://github.com/QIN2DIM/hcaptcha-challenger/issues/113)"},{"id":"how-old-is-that-kitten","metadata":{"permalink":"/zh-Hans/blog/how-old-is-that-kitten","editUrl":"https://github.com/CaptchaAgent/docs-source/tree/main/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-08-30-how-old-is-that-kitten/index.md","source":"@site/i18n/zh-Hans/docusaurus-plugin-content-blog/2022-08-30-how-old-is-that-kitten/index.md","title":"\u4f60\u5bb6\u732b\u732b\u2026\u2026\u51e0\u5c81\uff01","description":"Cat Age Chart with Pictures","date":"2022-08-30T00:00:00.000Z","formattedDate":"2022\u5e748\u670830\u65e5","tags":[{"label":"HCI challenge","permalink":"/zh-Hans/blog/tags/hci-challenge"}],"readingTime":0.355,"hasTruncateMarker":false,"authors":[{"name":"QIN2DIM","title":"Maintainer of CaptchaAgent","url":"https://github.com/QIN2DIM","imageURL":"https://github.com/QIN2DIM.png","key":"QIN2DIM"}],"frontMatter":{"slug":"how-old-is-that-kitten","title":"\u4f60\u5bb6\u732b\u732b\u2026\u2026\u51e0\u5c81\uff01","authors":["QIN2DIM"],"tags":["HCI challenge"],"keywords":["hcaptcha","captcha","hcaptca-challenger"]},"unlisted":false,"prevItem":{"title":"\u79c0\u72d7\u5728\u7b11\uff1f","permalink":"/zh-Hans/blog/can-dogs-smile"}},"content":"## Cat Age Chart with Pictures\\n\\n[Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies](https://www.alleycat.org/resources/kitten-progression/)\\n\\n![7d524620139047c35387c20e1e8ab9e2-1](https://r2-datalake.echosec.top/blog-obs/2023/10/00a48bda62e3acbac8ea005075bb0c5f.jpg)\\n\\n## Related work\\n\\n- [[Challenge] adult cat #163](https://github.com/QIN2DIM/hcaptcha-challenger/issues/163)\\n- [[Challenge] cat with large, rounded head #158](https://github.com/QIN2DIM/hcaptcha-challenger/issues/158)\\n- [[Challenge] kitten #156](https://github.com/QIN2DIM/hcaptcha-challenger/issues/156)\\n- [[Challenge] cat with long hair #150](https://github.com/QIN2DIM/hcaptcha-challenger/issues/150)\\n- [[Challenge] cat with short hair #148](https://github.com/QIN2DIM/hcaptcha-challenger/issues/148)\\n- [[Challenge] cat with thick fur #146](https://github.com/QIN2DIM/hcaptcha-challenger/issues/146)\\n- [[Challenge] baby cat #142](https://github.com/QIN2DIM/hcaptcha-challenger/issues/142)\\n- [[Challenge] Domestic Cat #68](https://github.com/QIN2DIM/hcaptcha-challenger/issues/68)"}]}')}}]); 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But if you've had this experience, you should know the difficulty of ",(0,a.jsx)("u",{children:"multi-categorizing a bunch of cluttered images"})," is quite different for human attention than ",(0,a.jsx)("u",{children:"identifying outliers in a bunch of images with similar overall characteristics"}),"."]}),"\n",(0,a.jsx)(t.h2,{id:"dilemmas-and-breakthroughs",children:"Dilemmas and breakthroughs"}),"\n",(0,a.jsx)(t.p,{children:"At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?"}),"\n",(0,a.jsxs)(t.p,{children:["This question stumped me. So much so that as projects like ",(0,a.jsx)(t.a,{href:"https://github.com/jina-ai/clip-as-service",children:"clip-as-service"})," started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.\ud83e\udd79"]}),"\n",(0,a.jsxs)(t.p,{children:["Note that you don't need much configuration to run the CLIP model, in the case of ",(0,a.jsx)(t.code,{children:"RN50.openai"})," you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time."]}),"\n",(0,a.jsxs)(t.p,{children:["With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ",(0,a.jsx)(t.a,{href:"https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_results.csv",children:"\u21aa\ufe0fbenchmarks"})]}),"\n",(0,a.jsxs)(t.blockquote,{children:["\n",(0,a.jsxs)(t.ul,{children:["\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/clip",children:"CLIP"}),' supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ','". The expectation is to get the category label as the answer.']}),"\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/owlvit",children:"OWL-ViT"})," allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to ",(0,a.jsx)(t.a,{href:"https://github.com/huggingface/notebooks/tree/main/examples#:~:text=zeroshot_object_detection_with_owlvit.ipynb",children:"this notebook"})," to learn more."]}),"\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/clipseg",children:"CLIPSeg"})," supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to ",(0,a.jsx)(t.a,{href:"https://huggingface.co/blog/clipseg-zero-shot",children:"this blog post"})," that illustrates this idea. ",(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/model_doc/groupvit",children:"GroupViT"})," also supports zero-shot segmentation."]}),"\n",(0,a.jsxs)(t.li,{children:[(0,a.jsx)(t.a,{href:"https://huggingface.co/docs/transformers/main/en/model_doc/xclip",children:"X-CLIP"})," Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out ",(0,a.jsx)(t.a,{href:"https://github.com/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Zero_shot_classify_a_YouTube_video_with_X_CLIP.ipynb",children:"this notebook"})," for more details."]}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(t.p,{children:"At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU."}),"\n",(0,a.jsx)(t.p,{children:"In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide."}),"\n",(0,a.jsx)(t.p,{children:"That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment."}),"\n",(0,a.jsxs)(t.p,{children:["It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. ",(0,a.jsx)(t.a,{href:"https://huggingface.co/timm/mobilenetv3_large_100.ra_in1k",children:"mobilenetv3"})," and ",(0,a.jsx)(t.a,{href:"https://github.com/baaivision/EVA/tree/master/EVA-02/asuka",children:"EVA-02"}),") that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. 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b/zh-Hans/blog/archive/index.html @@ -0,0 +1,18 @@ +<!doctype html> +<html lang="zh-Hans" dir="ltr" class="plugin-blog plugin-id-default" data-has-hydrated="false"> +<head> +<meta charset="UTF-8"> +<meta name="generator" content="Docusaurus v3.0.0"> +<title data-rh="true">历史博文 | CaptchaAgent + + + + + + + + + +

历史博文

历史博文

2023​

2022​

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/atom.xml b/zh-Hans/blog/atom.xml new file mode 100644 index 0000000..5c02060 --- /dev/null +++ b/zh-Hans/blog/atom.xml @@ -0,0 +1,195 @@ + + + https://docs.captchax.top/zh-Hans/blog + CaptchaAgent Blog + 2023-10-22T00:00:00.000Z + https://github.com/jpmonette/feed + + CaptchaAgent Blog + https://docs.captchax.top/zh-Hans/img/favicon2.png + + <![CDATA[零样本图像分类任务]]> + https://docs.captchax.top/zh-Hans/blog/vit-zero-shot-tasks-1 + + 2023-10-22T00:00:00.000Z + + Preview​ +
+

CLIP is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.

+

-- huggingface.co

+
+

CLIP

+

Milestone​

+
信息

We merged a feature #858 to the main branch of hcaptcha-challenger on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.

+

Previously, we trained and used the ResNet model to handle the image classification challenge. The model network parameters are so small that our exported ResNet ONNX model is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images.

+
+

But today, in 2023, there are so many key breakthroughs in Computer Vision that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮.

+
+

Thus, we also designed a factory workflow based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data.

+

Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes.

+

Automatic image annotation​

+
备注

Zero shot image classification is the task of classifying previously unseen classes during training of a model.

+

image-20231031022847507

+

We have been using CLIP in the factory workflow for automatic image annotation tasks since 2022, and at that time, the accuracy of the best CLIP model in dealing with zero-shot image classification was not satisfactory, but it was very useful for saving your time.

+

If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process.

+

With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores.

+

Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1

+

It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics.

+

Dilemmas and breakthroughs​

+

At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?

+

This question stumped me. So much so that as projects like clip-as-service started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹

+

Note that you don't need much configuration to run the CLIP model, in the case of RN50.openai you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.

+

With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ↪️benchmarks

+
+
    +
  • CLIP supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ". The expectation is to get the category label as the answer.
    • +
  • OWL-ViT allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to this notebook to learn more.
    • +
  • CLIPSeg supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to this blog post that illustrates this idea. GroupViT also supports zero-shot segmentation.
    • +
  • X-CLIP Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out this notebook for more details.
    • +
+
+

At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU.

+

In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.

+

That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment.

+

It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. mobilenetv3 and EVA-02) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ↪️benchmarks

+

radarsummary_tab

+

Scenarios for the CLIP-ONNX​

+

As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance.

+

It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?

+

🚧

+

The generation of the LLM​

+

Visual Question Answering​

+
备注

Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

+

image-20231031052543037

+

LLM OpenAgents​

+

XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:

+
    +
  • Data Agent: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.
    • +
  • Plugins Agent: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.
    • +
  • Web Agent: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.
    • +
+

image-20231031052746310

+

LLM with the CLIP-ONNX​

+

LLM with the CaptchaAgent​

]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[在目标周围画一个边界框]]> + https://docs.captchax.top/zh-Hans/blog/draw-a-tight-bounding-box-around-the-x + + 2023-08-28T00:00:00.000Z + + Milestone​ +

[Challenge] Draw a tight bounding box around the X #592

+

Similar to the point type challenge, the principle of both similar challenges is object detection.

+

However, the output of the bounding box method changes from the coordinates of the center point of the bounding box to the start and end points.

+
prompt: Draw a tight bounding box around the guіtаr.
type: bounding box
+

263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9

]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[在目标上点击]]> + https://docs.captchax.top/zh-Hans/blog/please-click-on-the-x + + 2023-08-26T00:00:00.000Z + + Milestone​ +

[Challenge] Please click on the X #588

+

This is the first time we have trained the YOLOv8 model to handle a object detection task in a CAPTCHA challenge.

+
prompt: please click on the elephant
type: point
+

263444792-8162bc5c-d13a-471f-84a7-28b22b9f3184

]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[机器革命 2023]]> + https://docs.captchax.top/zh-Hans/blog/bot-revolution-2023 + + 2023-05-15T00:00:00.000Z + + You know Who I Am 🤖​ +

image

+ +]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[秀狗在笑？]]> + https://docs.captchax.top/zh-Hans/blog/can-dogs-smile + + 2022-09-22T00:00:00.000Z + + Snipaste_2023-10-31_06-34-58

+

TL;TD​

+

YES, BUT it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.

+

In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.

+

How Do I Know If My Dog Is Smiling?​

+

The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying."

+

Reading​

+ + +]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + + <![CDATA[你家猫猫……几岁！]]> + https://docs.captchax.top/zh-Hans/blog/how-old-is-that-kitten + + 2022-08-30T00:00:00.000Z + + Cat Age Chart with Pictures​ +

Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies

+

7d524620139047c35387c20e1e8ab9e2-1

+ +]]> + + QIN2DIM + https://github.com/QIN2DIM + + + + \ No newline at end of file diff --git a/zh-Hans/blog/bot-revolution-2023/index.html b/zh-Hans/blog/bot-revolution-2023/index.html new file mode 100644 index 0000000..a495c23 --- /dev/null +++ b/zh-Hans/blog/bot-revolution-2023/index.html @@ -0,0 +1,29 @@ + + + + + +机器革命 2023 | CaptchaAgent + + + + + + + + + +

机器革命 2023

· 阅读需 1 分钟
QIN2DIM

You know Who I Am 🤖​

+

image

+ +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/can-dogs-smile/index.html b/zh-Hans/blog/can-dogs-smile/index.html new file mode 100644 index 0000000..fc476c5 --- /dev/null +++ b/zh-Hans/blog/can-dogs-smile/index.html @@ -0,0 +1,35 @@ + + + + + +秀狗在笑？ | CaptchaAgent + + + + + + + + + +

秀狗在笑？

· 阅读需 1 分钟
QIN2DIM

Snipaste_2023-10-31_06-34-58

+

TL;TD​

+

YES, BUT it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.

+

In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.

+

How Do I Know If My Dog Is Smiling?​

+

The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying."

+

Reading​

+ + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/draw-a-tight-bounding-box-around-the-x/index.html b/zh-Hans/blog/draw-a-tight-bounding-box-around-the-x/index.html new file mode 100644 index 0000000..c7da3bb --- /dev/null +++ b/zh-Hans/blog/draw-a-tight-bounding-box-around-the-x/index.html @@ -0,0 +1,23 @@ + + + + + +在目标周围画一个边界框 | CaptchaAgent + + + + + + + + + +

在目标周围画一个边界框

· 阅读需 1 分钟
QIN2DIM

Milestone​

+

[Challenge] Draw a tight bounding box around the X #592

+

Similar to the point type challenge, the principle of both similar challenges is object detection.

+

However, the output of the bounding box method changes from the coordinates of the center point of the bounding box to the start and end points.

+
prompt: Draw a tight bounding box around the guіtаr.
type: bounding box
+

263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/how-old-is-that-kitten/index.html b/zh-Hans/blog/how-old-is-that-kitten/index.html new file mode 100644 index 0000000..97a8f6a --- /dev/null +++ b/zh-Hans/blog/how-old-is-that-kitten/index.html @@ -0,0 +1,31 @@ + + + + + +你家猫猫……几岁！ | CaptchaAgent + + + + + + + + + +

你家猫猫……几岁！

· 阅读需 1 分钟
QIN2DIM

Cat Age Chart with Pictures​

+

Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies

+

7d524620139047c35387c20e1e8ab9e2-1

+ +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/index.html b/zh-Hans/blog/index.html new file mode 100644 index 0000000..5af27e8 --- /dev/null +++ b/zh-Hans/blog/index.html @@ -0,0 +1,125 @@ + + + + + +Blog | CaptchaAgent + + + + + + + + + +

· 阅读需 7 分钟
QIN2DIM

Preview​

+
+

CLIP is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.

+

-- huggingface.co

+
+

CLIP

+

Milestone​

+
信息

We merged a feature #858 to the main branch of hcaptcha-challenger on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.

+

Previously, we trained and used the ResNet model to handle the image classification challenge. The model network parameters are so small that our exported ResNet ONNX model is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images.

+
+

But today, in 2023, there are so many key breakthroughs in Computer Vision that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮.

+
+

Thus, we also designed a factory workflow based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data.

+

Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes.

+

Automatic image annotation​

+
备注

Zero shot image classification is the task of classifying previously unseen classes during training of a model.

+

image-20231031022847507

+

We have been using CLIP in the factory workflow for automatic image annotation tasks since 2022, and at that time, the accuracy of the best CLIP model in dealing with zero-shot image classification was not satisfactory, but it was very useful for saving your time.

+

If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process.

+

With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores.

+

Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1

+

It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics.

+

Dilemmas and breakthroughs​

+

At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?

+

This question stumped me. So much so that as projects like clip-as-service started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹

+

Note that you don't need much configuration to run the CLIP model, in the case of RN50.openai you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.

+

With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ↪️benchmarks

+
+
    +
  • CLIP supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ". The expectation is to get the category label as the answer.
    • +
  • OWL-ViT allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to this notebook to learn more.
    • +
  • CLIPSeg supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to this blog post that illustrates this idea. GroupViT also supports zero-shot segmentation.
    • +
  • X-CLIP Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out this notebook for more details.
    • +
+
+

At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU.

+

In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.

+

That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment.

+

It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. mobilenetv3 and EVA-02) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ↪️benchmarks

+

radarsummary_tab

+

Scenarios for the CLIP-ONNX​

+

As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance.

+

It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?

+

🚧

+

The generation of the LLM​

+

Visual Question Answering​

+
备注

Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

+

image-20231031052543037

+

LLM OpenAgents​

+

XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:

+
    +
  • Data Agent: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.
    • +
  • Plugins Agent: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.
    • +
  • Web Agent: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.
    • +
+

image-20231031052746310

+

LLM with the CLIP-ONNX​

+

LLM with the CaptchaAgent​

· 阅读需 1 分钟
QIN2DIM

Milestone​

+

[Challenge] Draw a tight bounding box around the X #592

+

Similar to the point type challenge, the principle of both similar challenges is object detection.

+

However, the output of the bounding box method changes from the coordinates of the center point of the bounding box to the start and end points.

+
prompt: Draw a tight bounding box around the guіtаr.
type: bounding box
+

263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9

· 阅读需 1 分钟
QIN2DIM

You know Who I Am 🤖​

+

image

+ +

· 阅读需 1 分钟
QIN2DIM

Snipaste_2023-10-31_06-34-58

+

TL;TD​

+

YES, BUT it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.

+

In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.

+

How Do I Know If My Dog Is Smiling?​

+

The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying."

+

Reading​

+ + +

· 阅读需 1 分钟
QIN2DIM

Cat Age Chart with Pictures​

+

Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies

+

7d524620139047c35387c20e1e8ab9e2-1

+ +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/please-click-on-the-x/index.html b/zh-Hans/blog/please-click-on-the-x/index.html new file mode 100644 index 0000000..26533ca --- /dev/null +++ b/zh-Hans/blog/please-click-on-the-x/index.html @@ -0,0 +1,22 @@ + + + + + +在目标上点击 | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/rss.xml b/zh-Hans/blog/rss.xml new file mode 100644 index 0000000..494aa69 --- /dev/null +++ b/zh-Hans/blog/rss.xml @@ -0,0 +1,173 @@ + + + + CaptchaAgent Blog + https://docs.captchax.top/zh-Hans/blog + CaptchaAgent Blog + Sun, 22 Oct 2023 00:00:00 GMT + https://validator.w3.org/feed/docs/rss2.html + https://github.com/jpmonette/feed + zh-Hans + + <![CDATA[零样本图像分类任务]]> + https://docs.captchax.top/zh-Hans/blog/vit-zero-shot-tasks-1 + https://docs.captchax.top/zh-Hans/blog/vit-zero-shot-tasks-1 + Sun, 22 Oct 2023 00:00:00 GMT + + Preview​ +
+

CLIP is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.

+

-- huggingface.co

+
+

CLIP

+

Milestone​

+
信息

We merged a feature #858 to the main branch of hcaptcha-challenger on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.

+

Previously, we trained and used the ResNet model to handle the image classification challenge. The model network parameters are so small that our exported ResNet ONNX model is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images.

+
+

But today, in 2023, there are so many key breakthroughs in Computer Vision that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮.

+
+

Thus, we also designed a factory workflow based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data.

+

Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes.

+

Automatic image annotation​

+
备注

Zero shot image classification is the task of classifying previously unseen classes during training of a model.

+

image-20231031022847507

+

We have been using CLIP in the factory workflow for automatic image annotation tasks since 2022, and at that time, the accuracy of the best CLIP model in dealing with zero-shot image classification was not satisfactory, but it was very useful for saving your time.

+

If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process.

+

With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores.

+

Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1

+

It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics.

+

Dilemmas and breakthroughs​

+

At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?

+

This question stumped me. So much so that as projects like clip-as-service started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹

+

Note that you don't need much configuration to run the CLIP model, in the case of RN50.openai you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.

+

With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ↪️benchmarks

+
+
    +
  • CLIP supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ". The expectation is to get the category label as the answer.
    • +
  • OWL-ViT allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to this notebook to learn more.
    • +
  • CLIPSeg supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to this blog post that illustrates this idea. GroupViT also supports zero-shot segmentation.
    • +
  • X-CLIP Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out this notebook for more details.
    • +
+
+

At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU.

+

In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.

+

That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment.

+

It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. mobilenetv3 and EVA-02) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ↪️benchmarks

+

radarsummary_tab

+

Scenarios for the CLIP-ONNX​

+

As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance.

+

It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?

+

🚧

+

The generation of the LLM​

+

Visual Question Answering​

+
备注

Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

+

image-20231031052543037

+

LLM OpenAgents​

+

XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:

+
    +
  • Data Agent: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.
    • +
  • Plugins Agent: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.
    • +
  • Web Agent: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.
    • +
+

image-20231031052746310

+

LLM with the CLIP-ONNX​

+

LLM with the CaptchaAgent​

]]> + HCI challenge + + + <![CDATA[在目标周围画一个边界框]]> + https://docs.captchax.top/zh-Hans/blog/draw-a-tight-bounding-box-around-the-x + https://docs.captchax.top/zh-Hans/blog/draw-a-tight-bounding-box-around-the-x + Mon, 28 Aug 2023 00:00:00 GMT + + Milestone​ +

[Challenge] Draw a tight bounding box around the X #592

+

Similar to the point type challenge, the principle of both similar challenges is object detection.

+

However, the output of the bounding box method changes from the coordinates of the center point of the bounding box to the start and end points.

+
prompt: Draw a tight bounding box around the guіtаr.
type: bounding box
+

263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9

]]> + HCI challenge + + + <![CDATA[在目标上点击]]> + https://docs.captchax.top/zh-Hans/blog/please-click-on-the-x + https://docs.captchax.top/zh-Hans/blog/please-click-on-the-x + Sat, 26 Aug 2023 00:00:00 GMT + + Milestone​ +

[Challenge] Please click on the X #588

+

This is the first time we have trained the YOLOv8 model to handle a object detection task in a CAPTCHA challenge.

+
prompt: please click on the elephant
type: point
+

263444792-8162bc5c-d13a-471f-84a7-28b22b9f3184

]]> + hCI challenge + + + <![CDATA[机器革命 2023]]> + https://docs.captchax.top/zh-Hans/blog/bot-revolution-2023 + https://docs.captchax.top/zh-Hans/blog/bot-revolution-2023 + Mon, 15 May 2023 00:00:00 GMT + + You know Who I Am 🤖​ +

image

+ +]]> + HCI challenge + + + <![CDATA[秀狗在笑？]]> + https://docs.captchax.top/zh-Hans/blog/can-dogs-smile + https://docs.captchax.top/zh-Hans/blog/can-dogs-smile + Thu, 22 Sep 2022 00:00:00 GMT + + Snipaste_2023-10-31_06-34-58

+

TL;TD​

+

YES, BUT it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.

+

In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.

+

How Do I Know If My Dog Is Smiling?​

+

The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying."

+

Reading​

+ + +]]> + HCI challenge + + + <![CDATA[你家猫猫……几岁！]]> + https://docs.captchax.top/zh-Hans/blog/how-old-is-that-kitten + https://docs.captchax.top/zh-Hans/blog/how-old-is-that-kitten + Tue, 30 Aug 2022 00:00:00 GMT + + Cat Age Chart with Pictures​ +

Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies

+

7d524620139047c35387c20e1e8ab9e2-1

+ +]]> + HCI challenge + + + \ No newline at end of file diff --git a/zh-Hans/blog/tags/h-ci-challenge/index.html b/zh-Hans/blog/tags/h-ci-challenge/index.html new file mode 100644 index 0000000..ad5a453 --- /dev/null +++ b/zh-Hans/blog/tags/h-ci-challenge/index.html @@ -0,0 +1,22 @@ + + + + + +1 篇博文 含有标签「hCI challenge」 | CaptchaAgent + + + + + + + + + +

1 篇博文 含有标签「hCI challenge」

查看所有标签
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/tags/hci-challenge/index.html b/zh-Hans/blog/tags/hci-challenge/index.html new file mode 100644 index 0000000..93c7cf2 --- /dev/null +++ b/zh-Hans/blog/tags/hci-challenge/index.html @@ -0,0 +1,121 @@ + + + + + +5 篇博文 含有标签「HCI challenge」 | CaptchaAgent + + + + + + + + + +

5 篇博文 含有标签「HCI challenge」

查看所有标签

· 阅读需 7 分钟
QIN2DIM

Preview​

+
+

CLIP is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.

+

-- huggingface.co

+
+

CLIP

+

Milestone​

+
信息

We merged a feature #858 to the main branch of hcaptcha-challenger on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.

+

Previously, we trained and used the ResNet model to handle the image classification challenge. The model network parameters are so small that our exported ResNet ONNX model is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images.

+
+

But today, in 2023, there are so many key breakthroughs in Computer Vision that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮.

+
+

Thus, we also designed a factory workflow based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data.

+

Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes.

+

Automatic image annotation​

+
备注

Zero shot image classification is the task of classifying previously unseen classes during training of a model.

+

image-20231031022847507

+

We have been using CLIP in the factory workflow for automatic image annotation tasks since 2022, and at that time, the accuracy of the best CLIP model in dealing with zero-shot image classification was not satisfactory, but it was very useful for saving your time.

+

If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process.

+

With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores.

+

Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1

+

It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics.

+

Dilemmas and breakthroughs​

+

At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?

+

This question stumped me. So much so that as projects like clip-as-service started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹

+

Note that you don't need much configuration to run the CLIP model, in the case of RN50.openai you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.

+

With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ↪️benchmarks

+
+
    +
  • CLIP supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ". The expectation is to get the category label as the answer.
    • +
  • OWL-ViT allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to this notebook to learn more.
    • +
  • CLIPSeg supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to this blog post that illustrates this idea. GroupViT also supports zero-shot segmentation.
    • +
  • X-CLIP Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out this notebook for more details.
    • +
+
+

At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU.

+

In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.

+

That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment.

+

It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. mobilenetv3 and EVA-02) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ↪️benchmarks

+

radarsummary_tab

+

Scenarios for the CLIP-ONNX​

+

As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance.

+

It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?

+

🚧

+

The generation of the LLM​

+

Visual Question Answering​

+
备注

Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

+

image-20231031052543037

+

LLM OpenAgents​

+

XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:

+
    +
  • Data Agent: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.
    • +
  • Plugins Agent: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.
    • +
  • Web Agent: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.
    • +
+

image-20231031052746310

+

LLM with the CLIP-ONNX​

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LLM with the CaptchaAgent​

· 阅读需 1 分钟
QIN2DIM

Milestone​

+

[Challenge] Draw a tight bounding box around the X #592

+

Similar to the point type challenge, the principle of both similar challenges is object detection.

+

However, the output of the bounding box method changes from the coordinates of the center point of the bounding box to the start and end points.

+
prompt: Draw a tight bounding box around the guіtаr.
type: bounding box
+

263652272-dbe5f4f3-c141-4e35-bbca-e20917408be9

· 阅读需 1 分钟
QIN2DIM

You know Who I Am 🤖​

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image

+ +

· 阅读需 1 分钟
QIN2DIM

Snipaste_2023-10-31_06-34-58

+

TL;TD​

+

YES, BUT it is worth mentioning that the dog is not always "smiling" when it opens its mouth, they're smiling because they are calm and relaxed, but sometimes it is also an expression of aggressive behavior.

+

In the challenge, it doesn't really matter if the dog is smiling or not. Your ability to pass the challenge depends entirely on whether the person labeling the dataset thinks the dog is smiling.

+

How Do I Know If My Dog Is Smiling?​

+

The ASPCA noted, "This is also a gesture where a dog shows his front teeth, but a smiling dog is doing just that. He usually shows a lowered head, wagging tail, flattened ears, a soft body posture and soft, squinty eyes along with those teeth. Teeth don't always mean aggression—it is important to consider the whole body and the context to understand what a dog is saying."

+

Reading​

+ + +

· 阅读需 1 分钟
QIN2DIM

Cat Age Chart with Pictures​

+

Newborn Kitten Progression & Cat Age Chart with Pictures | Alley Cat Allies

+

7d524620139047c35387c20e1e8ab9e2-1

+ +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/tags/index.html b/zh-Hans/blog/tags/index.html new file mode 100644 index 0000000..1893d0f --- /dev/null +++ b/zh-Hans/blog/tags/index.html @@ -0,0 +1,18 @@ + + + + + +标签 | CaptchaAgent + + + + + + + + + +

标签

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/blog/vit-zero-shot-tasks-1/index.html b/zh-Hans/blog/vit-zero-shot-tasks-1/index.html new file mode 100644 index 0000000..b09eb30 --- /dev/null +++ b/zh-Hans/blog/vit-zero-shot-tasks-1/index.html @@ -0,0 +1,75 @@ + + + + + +零样本图像分类任务 | CaptchaAgent + + + + + + + + + +

零样本图像分类任务

· 阅读需 7 分钟
QIN2DIM

Preview​

+
+

CLIP is a multi-modal vision and language model. It can be used for image-text similarity and for zero-shot image classification. CLIP uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features are then projected to a latent space with identical dimension. The dot product between the projected image and text features is then used as a similar score.

+

-- huggingface.co

+
+

CLIP

+

Milestone​

+
信息

We merged a feature #858 to the main branch of hcaptcha-challenger on October 22, 2023 to handle CAPTCHA via the CLIP image-text cross-modal model.

+

Previously, we trained and used the ResNet model to handle the image classification challenge. The model network parameters are so small that our exported ResNet ONNX model is only 294KB and we can still get over 80% correct in the binary classification task. This is more than enough for a CAPTCHA challenge with only nine images.

+
+

But today, in 2023, there are so many key breakthroughs in Computer Vision that we can easily lift the accuracy to 98%+ on such simple tasks from the CAPTCHA😮.

+
+

Thus, we also designed a factory workflow based on this, i.e., using the same network model design, but training models for different prompt scenarios on different batches of image data.

+

Although these small models can only handle binary classification tasks with a single target, we trade off an extreme performance experience, i.e., we go from training to iterating a model version in just a few minutes.

+

Automatic image annotation​

+
备注

Zero shot image classification is the task of classifying previously unseen classes during training of a model.

+

image-20231031022847507

+

We have been using CLIP in the factory workflow for automatic image annotation tasks since 2022, and at that time, the accuracy of the best CLIP model in dealing with zero-shot image classification was not satisfactory, but it was very useful for saving your time.

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If I chose to manually categorize 1k images, it would probably take me at least 10 minutes and my nerves would be high the whole time. Oh and at the same time you're going to need a processing environment that's just right or you're going to have a very slow process.

+

With CLIP, the same process takes 3 minutes. I only need to pay extremely little attention to samples that are misclassified or have low scores.

+

Default_Exaggerated_style_cartoon_where_a_girl_is_laboring_in_1_e5026ef7-6366-42b3-8215-6c9ca1887679_1

+

It may seem like a bit of a contradiction in terms. But if you've had this experience, you should know the difficulty of multi-categorizing a bunch of cluttered images is quite different for human attention than identifying outliers in a bunch of images with similar overall characteristics.

+

Dilemmas and breakthroughs​

+

At the time, we were only running CLIP on a local GPU server. we tried to run it on edge terminals and open up the inference interface, but how to export CLIP to ONNX and run inference tasks on terminals that don't rely on pytorch and GPUs?

+

This question stumped me. So much so that as projects like clip-as-service started to gain traction in the industry, we tried the next best thing, which was to assume that there were enough devices in the edge network to run the CLIP model.🥹

+

Note that you don't need much configuration to run the CLIP model, in the case of RN50.openai you only need up to 500MB of RAM to run it, and we're just comparing it here to ResNet (294KB) from the previous section. That is, if we choose to design the CLIP model as a hot-swappable component, we can't possibly require players using this program to be ready to download a 500MB model and read it frequently at any time.

+

With breakthroughs in computer vision research around the world, pre-trained models that score increasingly well are starting to emerge. ↪️benchmarks

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+
    +
  • CLIP supports zero-shot image classification with prompts. Given an image, you can prompt the CLIP model with a natural language query like "a picture of ". The expectation is to get the category label as the answer.
    • +
  • OWL-ViT allows zero-shot object detection conditional on language and one-shot object detection conditional on image. This means that you can detect objects in a single image even if the underlying model didn't learn to detect them during training! You can refer to this notebook to learn more.
    • +
  • CLIPSeg supports zero-shot image segmentation conditional on language and one-shot image segmentation conditional on image. This means you can segment objects in a single image even if the underlying model didn't learn to segment them during training! You can refer to this blog post that illustrates this idea. GroupViT also supports zero-shot segmentation.
    • +
  • X-CLIP Demonstrates zero-shot generalization to video. To be precise, it supports zero-shot video classification. Check out this notebook for more details.
    • +
+
+

At the same time, the higher the model's score, the larger its number of parameters usually is and the more memory it takes up. This also predisposes CLIP to be a model better suited to deal with decision-based tasks, where it is relatively too slow to respond. The fastest open-source CLIP models available with just the right number of parameters still don't process fast enough on the CPU.

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In the case of the CAPTCHA, deploying and using CLIP on user endpoints seems anachronistic. This is because for CAPTCHA, the challenges involving the CV and NLP parts do not yet fully utilize the strengths of the cross-modal model. It is clear that the CLIP model is a performance overflow for CAPTCHA available worldwide.

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That is, it specializes in a combination of abilities we don't yet need, but for which it can do things, we have better options in the moment.

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It is entirely possible to opt for more targeted solutions, such as the use of small-volume models (e.g. mobilenetv3 and EVA-02) that are only valid for a specific task, but have an accuracy rate that far exceeds that of CLIP. ↪️benchmarks

+

radarsummary_tab

+

Scenarios for the CLIP-ONNX​

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As we mentioned earlier, for the automatic image annotation and remote service scenarios, we don't need to export the model to ONNX, and we should instead make full use of the GPU (if available) to improve performance.

+

It is an inevitable trend that model parameters are getting larger and larger. So based on the present and looking to the future, what are the possible application scenarios for CLIP-ONNX?

+

🚧

+

The generation of the LLM​

+

Visual Question Answering​

+
备注

Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.

+

image-20231031052543037

+

LLM OpenAgents​

+

XLang Agents are Large Language Model-powered(LLM-powered) Agents, aiming to utilize a range of tools to enhance their capabilities, serving as user-centric intelligent agents. Currently, the XLang Agents supports three different agents focusing on different application scenarios, including:

+
    +
  • Data Agent: The Data Agent is equipped with data-related tools, allowing it to efficiently search, handle and manipulate and visualize data. It is proficient in writing and executing code, enabling various data-related tasks.
    • +
  • Plugins Agent: The Plugins Agent boasts integration with over 200 plugins from third-party sources. These plugins are carefully selected to cater to various aspects of your daily life scenarios. By leveraging these plugins, the agent can assist you with a wide range of tasks and activities.
    • +
  • Web Agent: The Web Agent harnesses the power of a chrome extension to navigate and explore websites automatically. This agent streamlines the web browsing experience, making it easier for you to find relevant information, access desired resources, and so on.
    • +
+

image-20231031052746310

+

LLM with the CLIP-ONNX​

+

LLM with the CaptchaAgent​

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/community/index.html b/zh-Hans/docs/community/index.html new file mode 100644 index 0000000..e1d5d6c --- /dev/null +++ b/zh-Hans/docs/community/index.html @@ -0,0 +1,18 @@ + + + + + +Community | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/community/readme/index.html b/zh-Hans/docs/community/readme/index.html new file mode 100644 index 0000000..78dbba1 --- /dev/null +++ b/zh-Hans/docs/community/readme/index.html @@ -0,0 +1,50 @@ + + + + + +Happy beginnings | CaptchaAgent + + + + + + + + + +

Happy beginnings

README​

+

We believe that CaptchaAgent has a different audience than the current solver service. It's entirely possible that you'll only need a third-party solver and won't need to deploy CaptchaAgent locally.

+

But all in all, we are pursuing a purely geeky approach and trying to explore the potential and future of the CAPTCHA industry from the perspective of "industry, academia, and research" in the LLM dynasty.

+

CaptchaAgent will be a public service project for a long time to come. If you are interested in CV / NLP / HCI and CAPTCHA, please feel free to join us.

+

If you are a developer who is not good at AI for the time being, please don't be stingy with your opinions, you can put forward any reasonable needs and suggestions to help us broaden the boundaries capabilities of the CaptchaAgent.

+

If you are an AI researcher working on Visual Question Answering or a practitioner in the CAPTCHA field, we can discuss possible future patterns of CAPTCHA and ANTI-CAPTCHA in various domains.

+

Examples:

+
    +
  • +

    The human-computer interaction challenge of CAPTCHA in virtual reality scenarios;

    +
    • +
  • +

    Sensorless verification system based on IoT devices;

    +
    • +
  • +

    The multi-factor verification process;

    +
    • +
  • +

    The possibility of real-name verification to be implemented in the so call western democracies;

    +
    • +
  • +

    The possibility of LLM to disrupt all the verification challenges;

    +
    • +
  • +

    How to design an efficient combination of multiple modalities for the verification challenges.

    +
    • +
  • +

    The possibility of CAPTCHA as a military weapon in the future of cyber public opinion, and how the boundaries between CAPTCHA and cyber offense and defense should be defined in future cyber activities.

    +
    • +
  • +

    Finally, CAPTCHA becomes a possible scenario for pseudo-requirements in future network activities.

    +
    • +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/examples/automatic-image-annotation/index.html b/zh-Hans/docs/examples/automatic-image-annotation/index.html new file mode 100644 index 0000000..55fd56e --- /dev/null +++ b/zh-Hans/docs/examples/automatic-image-annotation/index.html @@ -0,0 +1,18 @@ + + + + + +Automatic Image Annotation | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/examples/index.html b/zh-Hans/docs/examples/index.html new file mode 100644 index 0000000..9a37030 --- /dev/null +++ b/zh-Hans/docs/examples/index.html @@ -0,0 +1,18 @@ + + + + + +Examples | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/examples/integration-with-discord-gen/index.html b/zh-Hans/docs/examples/integration-with-discord-gen/index.html new file mode 100644 index 0000000..b08d63c --- /dev/null +++ b/zh-Hans/docs/examples/integration-with-discord-gen/index.html @@ -0,0 +1,21 @@ + + + + + +Discord GEN | CaptchaAgent + + + + + + + + + +

Discord GEN

Introduction​

+

CaptchaAgent allows you to run model inference tasks locally. That means you can process hundreds of images in seconds while performing ultra-concurrent computer vision tasks (such as image classification, object detection, and image segmentation).

+

For instance, you don't need to use any outside solver services to implement your own CAPTCHA-specific solver. This eliminates the need for you to wait tens or even hundreds of seconds in line or share queues with other people. Everything is processed in real time here.

+

In addition, we converted all ModelHub models to ONNX format. At the same time, downstream tasks use onnxruntime to run inference tasks, allowing you to run AI models even if your runtime environment lacks a GPU.

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/examples/integration-with-epic-claimer/index.html b/zh-Hans/docs/examples/integration-with-epic-claimer/index.html new file mode 100644 index 0000000..a835f08 --- /dev/null +++ b/zh-Hans/docs/examples/integration-with-epic-claimer/index.html @@ -0,0 +1,18 @@ + + + + + +Epic Games claimer | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/examples/self-supervised-challenge/index.html b/zh-Hans/docs/examples/self-supervised-challenge/index.html new file mode 100644 index 0000000..9c449ac --- /dev/null +++ b/zh-Hans/docs/examples/self-supervised-challenge/index.html @@ -0,0 +1,18 @@ + + + + + +Self-Supervised Challenge | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/getting-started/advanced/index.html b/zh-Hans/docs/getting-started/advanced/index.html new file mode 100644 index 0000000..2003416 --- /dev/null +++ b/zh-Hans/docs/getting-started/advanced/index.html @@ -0,0 +1,18 @@ + + + + + +Advanced Usage | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
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Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/getting-started/installation/index.html b/zh-Hans/docs/getting-started/installation/index.html new file mode 100644 index 0000000..8dac9a7 --- /dev/null +++ b/zh-Hans/docs/getting-started/installation/index.html @@ -0,0 +1,28 @@ + + + + + +Installation | CaptchaAgent + + + + + + + + + +

Installation

PyPI​

+

To install hcaptcha-challenger, simply run this simple command in your terminal of choice:

+
pip install -U hcaptcha-challenger
+

Download the Playwright single instance feature (recommended):

+
pip install -U hcaptcha-challenger[playwright]
+

Optional Features​

+
    +
  • playwright: Download the dependencies associated with Playwright, and you can load human verification directly using hcaptcha-challenger.
    • +
  • sentinel: Also download Playwright and PyGithub dependencies for developers to collect data and submit datasets.
    • +
  • server: (🚧preview) Also download sentinel and additional fastapi and uvicorn dependencies. In the future we will implement something like CLIP-as-service, where you can load high performance solvers locally.
    • +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/getting-started/quick-start/index.html b/zh-Hans/docs/getting-started/quick-start/index.html new file mode 100644 index 0000000..e5c3a06 --- /dev/null +++ b/zh-Hans/docs/getting-started/quick-start/index.html @@ -0,0 +1,18 @@ + + + + + +QuickStart | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/guides/AgentT/index.html b/zh-Hans/docs/guides/AgentT/index.html new file mode 100644 index 0000000..3a5c87e --- /dev/null +++ b/zh-Hans/docs/guides/AgentT/index.html @@ -0,0 +1,18 @@ + + + + + +AgentT | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
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Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/guides/modelhub/index.html b/zh-Hans/docs/guides/modelhub/index.html new file mode 100644 index 0000000..d2a911e --- /dev/null +++ b/zh-Hans/docs/guides/modelhub/index.html @@ -0,0 +1,18 @@ + + + + + +ModelHub | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
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Copyright © 2023 CaptchaAgent. All right.
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Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/docs/intro/index.html b/zh-Hans/docs/intro/index.html new file mode 100644 index 0000000..ea5912e --- /dev/null +++ b/zh-Hans/docs/intro/index.html @@ -0,0 +1,22 @@ + + + + + +Introduction | CaptchaAgent + + + + + + + + + +
Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/img/CaptchaAgent-social-card.jpg b/zh-Hans/img/CaptchaAgent-social-card.jpg new file mode 100644 index 0000000..7ad4bbf Binary files /dev/null and b/zh-Hans/img/CaptchaAgent-social-card.jpg differ diff --git a/zh-Hans/img/favicon.png b/zh-Hans/img/favicon.png new file mode 100644 index 0000000..6780f67 Binary files /dev/null and b/zh-Hans/img/favicon.png differ diff --git a/zh-Hans/img/favicon2.png b/zh-Hans/img/favicon2.png new file mode 100644 index 0000000..e0c004f Binary files /dev/null and b/zh-Hans/img/favicon2.png differ diff --git a/zh-Hans/img/logo.png b/zh-Hans/img/logo.png new file mode 100644 index 0000000..6780f67 Binary files /dev/null and b/zh-Hans/img/logo.png differ diff --git a/zh-Hans/img/undraw_docusaurus_mountain.svg b/zh-Hans/img/undraw_docusaurus_mountain.svg new file mode 100644 index 0000000..af961c4 --- /dev/null +++ b/zh-Hans/img/undraw_docusaurus_mountain.svg @@ -0,0 +1,171 @@ + + Easy to Use + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/zh-Hans/img/undraw_docusaurus_react.svg b/zh-Hans/img/undraw_docusaurus_react.svg new file mode 100644 index 0000000..94b5cf0 --- /dev/null +++ b/zh-Hans/img/undraw_docusaurus_react.svg @@ -0,0 +1,170 @@ + + Powered by React + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/zh-Hans/img/undraw_docusaurus_tree.svg b/zh-Hans/img/undraw_docusaurus_tree.svg new file mode 100644 index 0000000..d9161d3 --- /dev/null +++ b/zh-Hans/img/undraw_docusaurus_tree.svg @@ -0,0 +1,40 @@ + + Focus on What Matters + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/zh-Hans/index.html b/zh-Hans/index.html new file mode 100644 index 0000000..b06240b --- /dev/null +++ b/zh-Hans/index.html @@ -0,0 +1,18 @@ + + + + + +CaptchaAgent + + + + + + + + + +
+ + \ No newline at end of file diff --git a/zh-Hans/markdown-page/index.html b/zh-Hans/markdown-page/index.html new file mode 100644 index 0000000..c265a95 --- /dev/null +++ b/zh-Hans/markdown-page/index.html @@ -0,0 +1,19 @@ + + + + + +Markdown page example | CaptchaAgent + + + + + + + + + +

Markdown page example

+

You don't need React to write simple standalone pages.

Copyright © 2023 CaptchaAgent. All right.
+ + \ No newline at end of file diff --git a/zh-Hans/opensearch.xml b/zh-Hans/opensearch.xml new file mode 100644 index 0000000..27742ca --- /dev/null +++ b/zh-Hans/opensearch.xml @@ -0,0 +1,11 @@ + + + CaptchaAgent + Search CaptchaAgent + UTF-8 + https://docs.captchax.top/zh-Hans/img/favicon2.png + + + https://docs.captchax.top/zh-Hans/ + \ No newline at end of file diff --git a/zh-Hans/search/index.html b/zh-Hans/search/index.html new file mode 100644 index 0000000..8e5dbb0 --- /dev/null +++ b/zh-Hans/search/index.html @@ -0,0 +1,18 @@ + + + + + +在文档中搜索 | CaptchaAgent + + + + + + + + + +

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