mirror of
https://github.com/gorhill/uBlock.git
synced 2024-11-07 03:12:33 +01:00
Add support to benchmark the dynamic filtering pane
From uBO's dev console, type: - `µBlock.sessionFirewall.benchmark();` Keep in mind that it's the temporary ruleset being benchmarked.
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3ee25537a1
commit
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@ -528,7 +528,7 @@ Matrix.prototype.removeFromRuleParts = function(parts) {
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/******************************************************************************/
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var magicId = 1;
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const magicId = 1;
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Matrix.prototype.toSelfie = function() {
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return {
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@ -546,6 +546,35 @@ Matrix.prototype.fromSelfie = function(selfie) {
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/******************************************************************************/
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Matrix.prototype.benchmark = function() {
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µBlock.loadBenchmarkDataset().then(requests => {
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if ( Array.isArray(requests) === false || requests.length === 0 ) {
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console.info('No requests found to benchmark');
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return;
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}
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console.info(`Benchmarking sessionFirewall.evaluateCellZY()...`);
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const fctxt = µBlock.filteringContext.duplicate();
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const t0 = self.performance.now();
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for ( const request of requests ) {
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fctxt.setURL(request.url);
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fctxt.setTabOriginFromURL(request.frameUrl);
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fctxt.setType(request.cpt);
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this.evaluateCellZY(
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fctxt.getTabHostname(),
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fctxt.getHostname(),
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fctxt.type
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);
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}
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const t1 = self.performance.now();
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const dur = t1 - t0;
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console.info(`Evaluated ${requests.length} requests in ${dur.toFixed(0)} ms`);
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console.info(`\tAverage: ${(dur / requests.length).toFixed(3)} ms per request`);
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});
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return 'ok';
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};
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/******************************************************************************/
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return Matrix;
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/******************************************************************************/
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@ -2690,74 +2690,20 @@ FilterContainer.prototype.getFilterCount = function() {
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/******************************************************************************/
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// The requests.json.gz file can be downloaded from:
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// https://cdn.cliqz.com/adblocking/requests_top500.json.gz
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//
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// Which is linked from:
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// https://whotracks.me/blog/adblockers_performance_study.html
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//
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// Copy the file into ./tmp/requests.json.gz
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//
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// If the file is present when you build uBO using `make-[target].sh` from
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// the shell, the resulting package will have `./assets/requests.json`, which
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// will be looked-up by the method below to launch a benchmark session.
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//
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// From uBO's dev console, launch the benchmark:
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// µBlock.staticNetFilteringEngine.benchmark();
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//
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// The advanced setting `consoleLogLevel` must be set to `info` to see the
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// results in uBO's dev console, see:
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// https://github.com/gorhill/uBlock/wiki/Advanced-settings#consoleloglevel
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//
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// The usual browser dev tools can be used to obtain useful profiling
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// data, i.e. start the profiler, call the benchmark method from the
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// console, then stop the profiler when it completes.
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//
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// Keep in mind that the measurements at the blog post above where obtained
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// with ONLY EasyList. The CPU reportedly used was:
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// https://www.cpubenchmark.net/cpu.php?cpu=Intel+Core+i7-6600U+%40+2.60GHz&id=2608
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//
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// Rename ./tmp/requests.json.gz to something else if you no longer want
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// ./assets/requests.json in the build.
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FilterContainer.prototype.benchmark = function() {
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new Promise(resolve => {
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console.info(`Loading benchmark dataset...`);
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const url = vAPI.getURL('/assets/requests.json');
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µb.assets.fetchText(url, details => {
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if ( details.error !== undefined ) {
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console.info(`Not found: ${url}`);
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resolve();
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return;
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}
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console.info(`Parsing benchmark dataset...`);
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const requests = [];
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const lineIter = new µb.LineIterator(details.content);
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while ( lineIter.eot() === false ) {
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let request;
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try {
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request = JSON.parse(lineIter.next());
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} catch(ex) {
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}
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if ( request instanceof Object === false ) { continue; }
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if ( !request.frameUrl || !request.url ) { continue; }
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requests.push(request);
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}
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resolve(requests);
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});
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}).then(requests => {
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µb.loadBenchmarkDataset().then(requests => {
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if ( Array.isArray(requests) === false || requests.length === 0 ) {
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console.info('No requests found to benchmark');
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return;
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}
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console.info(`Benchmarking...`);
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const fctxt = µb.filteringContext;
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console.info(`Benchmarking staticNetFilteringEngine.matchString()...`);
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const fctxt = µb.filteringContext.duplicate();
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const t0 = self.performance.now();
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for ( const request of requests ) {
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fctxt.setURL(request.url);
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fctxt.setDocOriginFromURL(request.frameUrl);
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fctxt.setType(request.cpt);
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void this.matchString(fctxt);
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this.matchString(fctxt);
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}
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const t1 = self.performance.now();
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const dur = t1 - t0;
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@ -605,3 +605,85 @@
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return rem === 0 ? size : size + rem - 1;
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},
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};
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/******************************************************************************/
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// The requests.json.gz file can be downloaded from:
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// https://cdn.cliqz.com/adblocking/requests_top500.json.gz
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//
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// Which is linked from:
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// https://whotracks.me/blog/adblockers_performance_study.html
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//
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// Copy the file into ./tmp/requests.json.gz
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//
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// If the file is present when you build uBO using `make-[target].sh` from
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// the shell, the resulting package will have `./assets/requests.json`, which
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// will be looked-up by the method below to launch a benchmark session.
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//
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// From uBO's dev console, launch the benchmark:
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// µBlock.staticNetFilteringEngine.benchmark();
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//
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// The advanced setting `consoleLogLevel` must be set to `info` to see the
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// results in uBO's dev console, see:
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// https://github.com/gorhill/uBlock/wiki/Advanced-settings#consoleloglevel
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//
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// The usual browser dev tools can be used to obtain useful profiling
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// data, i.e. start the profiler, call the benchmark method from the
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// console, then stop the profiler when it completes.
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//
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// Keep in mind that the measurements at the blog post above where obtained
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// with ONLY EasyList. The CPU reportedly used was:
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// https://www.cpubenchmark.net/cpu.php?cpu=Intel+Core+i7-6600U+%40+2.60GHz&id=2608
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//
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// Rename ./tmp/requests.json.gz to something else if you no longer want
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// ./assets/requests.json in the build.
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µBlock.loadBenchmarkDataset = (function() {
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let datasetPromise;
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let ttlTimer;
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return function() {
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if ( ttlTimer !== undefined ) {
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clearTimeout(ttlTimer);
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ttlTimer = undefined;
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}
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vAPI.setTimeout(( ) => {
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ttlTimer = undefined;
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datasetPromise = undefined;
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}, 60000);
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if ( datasetPromise !== undefined ) {
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return datasetPromise;
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}
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datasetPromise = new Promise(resolve => {
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console.info(`Loading benchmark dataset...`);
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const url = vAPI.getURL('/assets/requests.json');
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µBlock.assets.fetchText(url, details => {
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if ( details.error !== undefined ) {
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datasetPromise = undefined;
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console.info(`Not found: ${url}`);
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resolve();
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return;
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}
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console.info(`Parsing benchmark dataset...`);
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const requests = [];
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const lineIter = new µBlock.LineIterator(details.content);
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while ( lineIter.eot() === false ) {
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let request;
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try {
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request = JSON.parse(lineIter.next());
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} catch(ex) {
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}
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if ( request instanceof Object === false ) { continue; }
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if ( !request.frameUrl || !request.url ) { continue; }
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requests.push(request);
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}
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resolve(requests);
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});
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});
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return datasetPromise;
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};
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})();
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