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lodash uniq vs set: correct version with the same return type
(version: 0)
Comparing performance of:
Set vs _.uniq
Created:
3 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:
window.dataset = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7];
Tests:
Set
var set = new Set(dataset); return [...set];
_.uniq
return _.uniq(dataset);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Set
_.uniq
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and explain what's being tested, compared, and considered. **Benchmark Definition** The benchmark measures two approaches for removing duplicates from an array: using a `Set` data structure and using Lodash's `uniq` function. The goal is to determine which approach is faster and more efficient. **Test Cases** There are two test cases: 1. **Set**: This test case uses the `Set` object to create a new set from the `dataset` array, and then converts it back to an array using the spread operator (`[...set]`). The idea is to compare the performance of creating a set from an array. 2. **_.uniq (Lodash)**: This test case uses Lodash's `uniq` function to remove duplicates from the `dataset` array. **Library and Purpose** * `Set`: A built-in JavaScript object that stores unique values. Its purpose is to provide a data structure for storing unique elements, which can be used as a basis for efficient duplicate removal. * **Lodash**: A popular JavaScript utility library that provides various functions for tasks like string manipulation, array manipulation, and more. In this case, the `uniq` function is used to remove duplicates from an array. **Special JavaScript Feature or Syntax** None are explicitly mentioned in the benchmark definition, but it's worth noting that using a `Set` object implicitly uses the modern JavaScript feature of "weak references" (i.e., objects stored in a set do not prevent other parts of the code from accessing them), which can improve performance and memory usage compared to traditional arrays. **Pros and Cons** **Set Approach:** Pros: * Efficient for large datasets, as it only stores unique elements. * Can be faster than using `_.uniq` due to its optimized implementation. Cons: * Requires more memory allocation and copying of data, which can lead to slower performance on small datasets or when working with large arrays. * Not suitable for certain use cases where preserving the original order of elements is necessary. **_.uniq (Lodash) Approach:** Pros: * Preserves the original order of elements. * Can be more efficient than using a `Set` object, especially for small datasets or when dealing with existing array data that needs to be modified in place. Cons: * May perform slower due to Lodash's overhead and additional memory allocation. * Not optimized for large datasets like `Set`. **Other Considerations** * The benchmark results will help determine which approach is faster and more efficient, making it easier for developers to choose the right tool for their specific use cases. * It's essential to consider factors such as data size, type (e.g., numbers, strings, objects), and performance requirements when choosing between these approaches. **Alternatives** If not using `Set` or Lodash's `uniq`, other alternatives for duplicate removal include: * Using a traditional array with a loop, checking each element against the rest of the array to determine duplicates. * Implementing your own custom solution using JavaScript arrays and loops. However, these alternatives are generally less efficient than using optimized libraries like `Set` or Lodash's `uniq`.
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