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Merhaba Sevgili Floodlar.com Kullanıcısı, Web sitemizde geçirdiğiniz zaman ve bu büyüleyici flood evrenine katılımınız için teşekkür ederiz. Floodların geniş dünyasıyla dolu deneyiminizi daha fazla keşfetmek için, web sitemizi sınırsız olarak kullanabilmeniz adına giriş yapmanız gerekmektedir.

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Merhaba Floodlar.com Kullanıcısı, İlk üç sayfayı tamamladınız, tebrikler! Ancak, floodların devamını görmek ve daha fazla interaktif deneyim yaşamak için giriş yapmanız gerekiyor. Hesabınız yoksa, hızlıca oluşturabilirsiniz. Sınırsız floodlar ve etkileşimler sizleri bekliyor. Giriş yapmayı unutmayın!

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Fil Necati Masonlar Locası Subreddit Adı Nedir? Cevap: ( N31 )

Üzgünüz, flood girme izniniz yok, Flood girmek için giriş yapmalısınız.

Lütfen bu Floodun neden bildirilmesi gerektiğini düşündüğünüzü kısaca açıklayın.

Lütfen bu cevabın neden bildirilmesi gerektiğini kısaca açıklayın.

Lütfen bu kullanıcının neden rapor edilmesi gerektiğini düşündüğünüzü kısaca açıklayın.

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Güncel Floodlar En sonuncu Nesne

Diagnose slow interactions in the lab

Diagnose slow interactions in the lab

One challenging aspect of optimizing Interaction to Next Paint (INP) is figuring out what’s causing poor INP. There’s a large variety of potential causes: third-party scripts that schedule many tasks on the main thread, large DOM sizes, expensive event callbacks, and so on.

Finding ways to fix poor INP can be difficult. To start, you have to know which interactions tend to be responsible for a page’s INP. If you don’t know this already, start by reading Find slow interactions in the field. Once you have that field data and know what interactions to test, you can do so in lab tools to work out why those interactions are slow.

What if you don’t have field data? #

Ideally, you’ll want field data, as it saves you a lot of time trying to figure out which interactions need to be optimized. You might be in a position where you don’t have field data, though. If that’s your situation, you can still find interactions to improve: you’ll just have to take a different approach.

Total Blocking Time (TBT) is a metric that assesses page responsiveness during load. It correlates very well with INP, and can give you an idea if there might be interactions you can profile while the page is loading.

You can use either Lighthouse or PageSpeed Insights to measure your page’s TBT. If your TBT is either poor or needs improvement, there’s a good chance there are interactions that might be slow during page load.

To find slow interactions after the page has loaded, you might need to rely on other types of data, such as common user flows that you may already have in your website’s analytics. If you work on an ecommerce website, for example, a common user flow would be the actions users take when they’re adding items to an online shopping cart or going through an online checkout.

Whether or not you have field data, the next step involves reproducing that interaction—because it’s only when you’re able to conclusively identify a slow interaction that you’ll be able to fix it.

Reproducing slow interactions in the lab #

Once you’ve identified a slow interaction, the next step is to test it in the lab to see if it’s reliably slow.

Don’t reach for the performance profiler right away #

Chrome performance profiler—while invaluable—doesn’t provide a live view while interacting with the page. It’s more efficient to test interaction latency in a much faster way first, so you can quickly assess whether a given interaction is reliably slow, and then reach for the performance profiler when you need more information.

Use the Web Vitals Chrome Extension #

The Web Vitals Chrome Extension involves the lowest amount of effort in testing interaction latency. Once installed, the extension will display interaction data in the console if you do the following:

  1. In Chrome, click the extensions icon to the right of the address bar.
  2. Locate the Web Vitals extension in the drop-down menu.
  3. Click the icon at the right to open the extension’s settings.
  4. Click Options.
  5. Enable the Console logging checkbox in the resulting screen, and then click Save.

Once this has been done, open the console in Chrome DevTools, and begin testing the desired interactions on your website. As you interact with the page, you’ll receive useful console logs giving you detailed diagnostic information for the interaction.

A console entry from the Web Vitals extension when console logging is turned on. Each qualifying interaction will log interaction data to the console.

Use a JavaScript snippet #

Using the Web Vitals extension may not be a viable option for a number of reasons. Extensions can be blocked in some cases, and they also can’t be installed on mobile devices. The latter is problematic if you want to test on a physical Android device with remote debugging.

An alternate method involves copying and pasting some JavaScript into the console of Chrome DevTools. The following code yields the same console output as the Web Vitals extension for every interaction:

let worstInp = 0;

const observer = new PerformanceObserver((list, obs, options) => {
for (let entry of list.getEntries()) {
if (!entry.interactionId) continue;

entry.renderTime = entry.startTime + entry.duration;
worstInp = Math.max(entry.duration, worstInp);

console.log('[Interaction]', entry.duration, `type: ${entry.name} interactionCount: ${performance.interactionCount}, worstInp: ${worstInp}`, entry, options);
}
});

observer.observe({
type: 'event',
durationThreshold: 0, // 16 minimum by spec
buffered: true
});

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