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lodash.zipObject vs. native reduce
(version: 0)
Comparing performance of:
lodash.zipObject vs native reduce
Created:
7 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 = [ { name: 'pi', value: 3.14 }, { name: 'hundred', value: 100 }, { name: 'truthy', value: true }, { name: 'falsy', value: false }, { name: 'estring', value: '2.71828' }, ]
Tests:
lodash.zipObject
_.zipObject(stuff.map(item => item.name), stuff.map(item => item.value))
native reduce
stuff.reduce((acc, item) => { acc[item.name] = item.value return acc }, {})
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
lodash.zipObject
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 benchmark definition and test cases to understand what is being tested. **What is being tested?** The website `MeasureThat.net` provides JavaScript microbenchmarks, where users can compare the performance of different approaches to achieve a specific goal. In this case, we have two individual test cases: 1. **`_.zipObject(stuff.map(item => item.name), stuff.map(item => item.value))`**: This benchmark is testing the performance of the `lodash.zipObject` function. The function takes two arrays as input: one containing object property names (`stuff.map(item => item.name)`), and another containing corresponding values (`stuff.map(item => item.value)`). It returns a new object with the same properties, but only if they exist in both input arrays. 2. **`stuff.reduce((acc, item) => {\r\n acc[item.name] = item.value\r\n return acc\r\n}, {})`**: This benchmark is testing the performance of JavaScript's native `reduce()` function when used as a map-reduce transformation to create an object from two arrays. The first array (`stuff.map(item => item.name)`), contains object property names, and the second array (`stuff.map(item => item.value)`), contains corresponding values. **Options compared** The options being compared are: * **`lodash.zipObject`**: A utility function provided by the popular JavaScript library `lodash`. * **Native `reduce()` function**: A built-in JavaScript function used for reducing arrays to a single value, or in this case, creating an object from two arrays. **Pros and Cons of each approach** Here's a brief summary: ### Lodash `.zipObject` Pros: * Easy-to-understand syntax * Less error-prone compared to manual implementation Cons: * Adds an external dependency (`lodash.js` library) * May incur additional overhead due to the function call ### Native `reduce()` function Pros: * Built-in, no external dependencies required * Can be optimized by the JavaScript engine for better performance Cons: * Requires manual handling of edge cases (e.g., property names, values) * Syntax may be less intuitive for some developers **Library: Lodash** Lodash is a popular JavaScript utility library that provides various functional programming helpers. In this case, `_.zipObject` is used to create an object from two arrays with overlapping keys. The library is useful when you need concise and expressive code, but it also adds an extra layer of complexity due to the external dependency. **Special JS feature or syntax** There isn't any special JavaScript feature or syntax being tested in this benchmark. The focus is on comparing the performance of different approaches for a specific task: creating an object from two arrays with overlapping keys. However, some developers might find the use of `reduce()` and array map functions interesting, as they are fundamental concepts in functional programming. **Other alternatives** If you were to implement a similar benchmark without using any external libraries, you could consider the following alternatives: * Manual implementation: Create an object by iterating over both arrays and adding properties manually. * Using `Array.prototype.reduce()` with a custom callback function. * Utilizing other library functions like `Underscore.js` (similar to Lodash) or `Moment.js` for array manipulation. Keep in mind that these alternatives would likely result in different performance profiles compared to the benchmarked approaches.
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