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lodash uniqwith vs map
(version: 0)
Comparing performance of:
map vs uniqwith
Created:
2 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>
Script Preparation code:
var l = []; for (let i = 0; i < 20; i++) { l.push({ "index": Math.floor(i / 2), "test": "value", "number": 6, "complex": { "name": "steve" } }) }
Tests:
map
const map = new Map(); for (const m of l) { map.set( m.i, m ); } return map;
uniqwith
return _.uniqWith(l, (a, b) => { return a.i === b.i; });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
map
uniqwith
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:133.0) Gecko/20100101 Firefox/133.0
Browser/OS:
Firefox 133 on Windows
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Test name
Executions per second
map
1313235.6 Ops/sec
uniqwith
8410245.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks to compare the performance of different approaches. The provided benchmark definition includes two test cases: `uniqwith` (using Lodash's `uniqWith` function) and `map` (using a built-in JavaScript `Map` object). **Benchmark Definition Explanation** The benchmark definition includes two sections: * **Script Preparation Code**: This code is executed before the test, and it initializes an array `l` with 20 objects. Each object has several properties: `index`, `test`, `number`, and `complex`. The `index` property is used to compare values later. * **Html Preparation Code**: This code includes a link to include Lodash's JavaScript library (`lodash.min.js`) in the test environment. **Individual Test Cases** The benchmark definition includes two individual test cases: 1. **map**: This test case uses a built-in JavaScript `Map` object to create a map of objects, where each key is an index and the corresponding value is the entire object. 2. **uniqwith**: This test case uses Lodash's `uniqWith` function to remove duplicates from the array `l`, based on a comparison function that checks if two objects have the same `index` property. **Library: Lodash** Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as string manipulation, object manipulation, and functional programming. In this benchmark, `uniqWith` is used to remove duplicates from an array based on a custom comparison function. **Comparison of Approaches** The two approaches compared in the benchmark are: * **map**: Using a built-in JavaScript `Map` object to create a map of objects. * **uniqwith**: Using Lodash's `uniqWith` function to remove duplicates from an array. **Pros and Cons of Each Approach** Here are some pros and cons of each approach: **map**: Pros: * Built-in JavaScript functionality, so no additional library dependencies needed. * Easy to implement. Cons: * May not be optimized for performance compared to Lodash's `uniqWith` function. **uniqwith**: Pros: * Optimized for performance by using a custom comparison function. * Can handle complex data structures and relationships between objects. Cons: * Requires an additional library dependency (Lodash). * More complex implementation than the built-in JavaScript `Map` object approach. **Other Considerations** When choosing an approach, consider the following factors: * Performance: If speed is critical, Lodash's `uniqWith` function may be a better choice. * Complexity: If the data structure or relationships between objects are complex, Lodash's `uniqWith` function may be more suitable. * Library dependencies: If you prefer to avoid additional library dependencies, the built-in JavaScript `Map` object approach may be a better choice. **Alternatives** Other alternatives for removing duplicates from an array include: * Using a custom implementation with a loop and conditional statements. * Using other libraries or frameworks that provide similar functionality (e.g., Underscore.js). * Using data structures like a Set or a Union find algorithm to remove duplicates.
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