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Lodash reduce vs Native reduce
(version: 1)
Comparing performance of:
Lodash reduce vs Native reduce
Created:
7 years ago
by:
Registered User
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HTML Preparation code:
<script src='https://cdn.jsdelivr.net/g/lodash@4(lodash.min.js)'></script>
Script Preparation code:
var array = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']; var reducer = (r, x) => r + x;
Tests:
Lodash reduce
_.reduce(array, reducer, '')
Native reduce
array.reduce(reducer, '')
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash reduce
Native reduce
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested, compared, and the pros and cons of each approach. **What is being tested?** The benchmark compares the performance of two approaches: 1. Lodash `reduce` function 2. Native `reduce` function ( built-in in JavaScript ) **Options compared:** * The test case uses two versions of the `reduce` function: + One with Lodash (`_.reduce(array, reducer, '')`) + One without any library or wrapper (`array.reduce(reducer, '')`) **Pros and Cons of each approach:** 1. **Lodash `reduce`**: * Pros: + Can be more readable and maintainable due to the use of a well-known and widely-used utility function. + May provide better error handling and debugging capabilities. * Cons: + Adds overhead due to the need to import and load Lodash library. + May not perform as well as native implementation due to the added abstraction layer. 2. **Native `reduce`**: * Pros: + Faster execution speed since it doesn't require loading an additional library. + More efficient use of resources, as it's a built-in function. * Cons: + May be less readable or maintainable for developers unfamiliar with the native implementation. **Library used:** In this case, Lodash is used. It's a popular JavaScript utility library that provides a collection of functional programming helpers and utilities. In this benchmark, it's being used to provide an implementation of the `reduce` function, which would otherwise be part of the built-in JavaScript API. **Special JS feature or syntax:** The benchmark uses the fact that JavaScript has built-in support for the `reduce` method on arrays, as well as a wrapper function (`_.reduce`) provided by Lodash. This allows developers to use the `reduce` method in a more concise and readable way. **Other alternatives:** If you want to explore alternative approaches, you could consider: * Using other utility libraries (e.g., Ramda, Underscore.js) that provide implementations of the `reduce` function. * Implementing your own custom version of the `reduce` function from scratch. * Considering other optimization techniques, such as caching or memoization, to improve performance. Keep in mind that these alternatives may have different trade-offs in terms of readability, maintainability, and performance.
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