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testingelad
(version: 0)
test
Comparing performance of:
Immutable vs Spread
Created:
5 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/immutable/3.8.2/immutable.min.js"></script> <section id="section"> </section>
Tests:
Immutable
const obj = [1, 2, 3, 4, 5, 6] const obj2 = Immutable.List(obj) const obj3 = obj2.push(7)
Spread
const obj = [1, 2, 3, 4, 5, 6] const obj2 = [...obj] obj2.push(7)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Immutable
Spread
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll explain the benchmark being tested, the options being compared, and their pros and cons. **Benchmark Definition** The provided JSON represents a JavaScript microbenchmark named "testingelad". The benchmark tests two approaches to creating a new list by modifying an existing array. 1. **Immutable**: This approach uses the Immutable.js library to create a new immutable list (`obj2 = Immutable.List(obj)`). Immutable.js provides a way to work with data in a predictable, thread-safe manner. 2. **Spread** (also known as "Array Destructuring"): This approach creates a new array by spreading an existing array and then pushing a new element onto it (`obj2 = [...obj]`). **Options Being Compared** The two options being compared are: 1. **Immutable**: Uses the Immutable.js library to create a new immutable list. * Pros: + Thread-safe, which can improve performance in multi-threaded environments. + Predictable behavior, which can help catch bugs earlier. * Cons: + Overhead due to the creation of an additional object (the immutable list). + May not be suitable for simple, one-time operations. 2. **Spread**: Uses array destructuring to create a new array and then pushes a new element onto it. * Pros: + Lightweight, as it only creates a new array reference without the overhead of an additional object. + Suitable for most use cases where predictability is not necessary. * Cons: + May introduce performance issues if the operation is done in a loop or in a multi-threaded environment. **Library: Immutable.js** Immutable.js is a JavaScript library that provides a way to work with data in a predictable, thread-safe manner. It allows you to create immutable data structures and perform operations on them without side effects. In this benchmark, Immutable.js is used to create an immutable list (`obj2 = Immutable.List(obj)`). **Special JS Feature/Syntax: None** There are no special JavaScript features or syntax being used in this benchmark. **Other Alternatives** If you're interested in exploring other alternatives for creating new lists in JavaScript, consider the following: 1. **Array.prototype.push()**: This is a built-in method that creates a new array reference by pushing an element onto the end of the original array. 2. **Array.prototype.concat()**: This method creates a new array by concatenating multiple arrays together. While these alternatives are more lightweight than using Immutable.js, they may not provide the same level of predictability or thread-safety as the Immutable.js approach. I hope this explanation helps!
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