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let and return vs IIFE
(version: 0)
Designed to measure the performance of a workaround where an IIFE is used to eliminate let and return statements, which makes the function shorter.
Comparing performance of:
let and return vs IIFE
Created:
2 years ago
by:
Registered User
Jump to the latest result
HTML Preparation code:
<a id='test' href='#' />
Script Preparation code:
el=document.querySelector("#test"); isInViewportLet=e=>{ let r; return (r=e.getBoundingClientRect(), 0 <= r.y && 0 <= r.x && r.bottom <= innerHeight && r.right <= innerWidth && r.y < r.bottom && r.x < r.right ) }; isInViewportIIFE=e=>( (r=>( 0 <= r.y && 0 <= r.x && r.bottom <= innerHeight && r.right <= innerWidth && r.y < r.bottom && r.x < r.right ))(e.getBoundingClientRect()) );
Tests:
let and return
isInViewportLet(el);
IIFE
isInViewportIIFE(el);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
let and return
IIFE
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Mobile Safari/537.36
Browser/OS:
Chrome Mobile 120 on Android
View result in a separate tab
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Embed Benchmark Result
Test name
Executions per second
let and return
73432.2 Ops/sec
IIFE
76213.9 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks. **Benchmark Description** The `MeasureThat.net` benchmark compares the performance of two approaches to check if an element is within the viewport: using a traditional `let` and `return` statement, and using an Immediately Invoked Function Expression (IIFE). **Options Compared** Two options are compared: 1. **Traditional `let` and `return`**: This approach uses a traditional block scope to declare variables, which can lead to slower performance due to the overhead of scoping. 2. **Immediately Invoked Function Expression (IIFE)**: This approach uses an IIFE to create a new scope, which can provide faster performance by avoiding the overhead of scoping. **Pros and Cons** * **Traditional `let` and `return`**: + Pros: Easier to read and understand for developers familiar with traditional JavaScript. + Cons: Can lead to slower performance due to scoping overhead. * **IIFE**: + Pros: Can provide faster performance by avoiding scoping overhead. + Cons: May be less readable and more difficult to understand for developers unfamiliar with IIFEs. **Library Usage** The `isInViewport` function uses the `getBoundingClientRect()` method, which is a part of the W3C DOM standard. This method returns an object representing the element's bounding rectangle, which contains information about its position and size relative to the viewport. **Special JS Feature/Syntax** There is no special JavaScript feature or syntax used in this benchmark. The code uses only standard JavaScript features and syntax. **Other Considerations** When writing performance-critical code, it's essential to consider the following: * Use modern JavaScript features and syntax whenever possible. * Minimize the use of scoping mechanisms like `let` and `return`. * Use IIFEs or other scope-creating techniques judiciously to optimize performance. **Alternative Approaches** If you need to check if an element is within the viewport, you can consider using alternative approaches: 1. **Use a library**: Libraries like jQuery or React provide built-in functions for checking element visibility and position. 2. **Use a CSS-based solution**: You can use CSS to position elements in a way that makes them visible only when they are within the viewport. 3. **Optimize DOM manipulation**: If you need to frequently update the visibility of elements, consider optimizing your DOM manipulation code using techniques like batch updates or lazy loading. In conclusion, the `MeasureThat.net` benchmark provides valuable insights into the performance differences between traditional `let` and `return` statements versus IIFEs in JavaScript. By understanding these differences, developers can make informed decisions about which approach to use in their own performance-critical code.
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