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Comparison of flatmap
(version: 0)
Comparing performance of:
lodash flatmap vs native reduce
Created:
2 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
var stuff = [1,2,3,4,5]
Tests:
lodash flatmap
_.flatMap(stuff, (num) => [num*1, num*2])
native reduce
stuff.reduce((acc, num) => [...acc, num*1, num*2], [] )
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
lodash flatmap
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 dive into the world of JavaScript microbenchmarks. **What is being tested?** The provided benchmark tests two approaches to perform a transformation on an array: using the `flatMap` function from the Lodash library and using the built-in `reduce` method of arrays. **Options compared** In this benchmark, we have two options: 1. **Lodash `flatMap`**: This approach uses the `flatMap` function from the Lodash library to transform each element in the input array `stuff`. The `flatMap` function applies a provided callback function to each element and returns an array of results. 2. **Native `reduce`**: This approach uses the built-in `reduce` method of arrays to perform the transformation. The `reduce` method applies a provided callback function to each element in the input array, accumulating the results. **Pros and cons** Here are some pros and cons of each approach: ### Lodash `flatMap` Pros: * Easier to read and maintain, as it's a well-known library function * Faster, since it's implemented in native code by V8 (the JavaScript engine used by Chrome) Cons: * Adds an extra dependency on the Lodash library * May have performance overhead due to the additional indirection ### Native `reduce` Pros: * No dependencies or overheard, as it's a built-in method of arrays * Can be more efficient, since it uses native code that's optimized for performance Cons: * Requires more boilerplate code, making it harder to read and maintain * May have performance overhead due to the extra indirection required by the callback function **Library** The Lodash library is a popular utility library for JavaScript that provides a wide range of functions for tasks such as array manipulation, object iteration, and functional programming. In this benchmark, we're using the `flatMap` function from Lodash to perform the transformation. **Special JS feature or syntax** There's no special JavaScript feature or syntax used in this benchmark. Both approaches use standard JavaScript features: arrays, loops, and functions. **Other alternatives** If you need to compare other approaches for array transformations, here are some alternatives: * **Array.prototype.map**: Similar to `flatMap`, but returns a new array with the transformed elements, rather than flattening them. * **Array.prototype.forEach**: Iterates over each element in the array, but doesn't accumulate results or return an array. * **Array.prototype.every**, **Array.prototype.some**, **Array.prototype.findIndex**, etc.: Other array methods that can be used for transformations. **Benchmark preparation code** The provided script preparation code creates a sample array `stuff` and adds it to the HTML file. The HTML file includes a reference to the Lodash library, which is required for the `flatMap` approach. ```javascript var stuff = [1,2,3,4,5]; ``` ```html <script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script> ```
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