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spread vs push unique values
(version: 0)
Comparing performance of:
spread no push vs push
Created:
4 years ago
by:
Registered User
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HTML Preparation code:
<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>
Tests:
spread no push
const test1 = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; const test2 = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq([...test1, ...test2]);
push
const test1 = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; const test2 = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; test1.push(...test2); return _.uniq(test1);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
spread no push
push
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 JSON and explain what's being tested. **Benchmark Definition** The benchmark is testing two approaches for removing duplicate values from an array of numbers: 1. **Spread vs Push with Unique Values**: This test creates two arrays, `test1` and `test2`, both containing the same repeated value (`7`). The first test case uses the spread operator (`...`) to create a new array by spreading `test1` and `test2` into a single array, and then removes duplicates using the `_uniq` function from the Lodash library. The second test case uses the `push` method to add elements from `test2` to `test1`, and then removes duplicates using `_uniq`. 2. **Script Preparation Code**: There is no script preparation code provided for this benchmark. **Options Compared** The two options being compared are: * **Spread Operator (`...`) vs Push Method**: Both methods create a new array by combining the elements of `test1` and `test2`. However, the spread operator creates a new array with copied elements, while the push method adds elements to the end of the existing array. * **Use of Lodash Library**: Both test cases use the `_uniq` function from the Lodash library to remove duplicates from the resulting arrays. **Pros and Cons** * **Spread Operator (`...`) Pros**: + Creates a new array with copied elements, which can be more efficient for large datasets. + Does not modify the original arrays. * **Push Method Pros**: + Can be faster for small datasets or when working with existing arrays. + Can be used to add multiple elements to an array at once. * **Lodash Library Pros**: + Provides a concise and readable way to remove duplicates from arrays. + Can handle large datasets efficiently. Cons: * **Spread Operator (`...`) Cons**: + Creates unnecessary copies of elements, which can increase memory usage. + May be slower for very large datasets due to the creation of new arrays. * **Push Method Cons**: + Modifies the original array, which can have unintended consequences. + Can be slower for large datasets or when working with existing arrays. * **Lodash Library Cons**: + Adds an external dependency that needs to be included in the benchmark. + May not be suitable for all use cases, such as when working with very small datasets. **Library and Syntax** The Lodash library is a popular utility library for JavaScript that provides a wide range of functions for tasks such as array manipulation, string manipulation, and more. The `_uniq` function from the library removes duplicate values from an array while preserving the original order. There are no special JavaScript features or syntax used in this benchmark beyond what's already mentioned (e.g., spread operator, push method). **Alternatives** If you're looking for alternatives to the Lodash library, there are several options available: * **Array.prototype.filter()**: This method can be used to remove duplicate values from an array by filtering out elements that don't meet a certain condition. * **Set Data Structure**: Using a `Set` data structure can be an efficient way to keep track of unique values in an array. However, this approach may not work well for arrays containing non-numeric values or objects. * **Manual Looping**: If you're working with very small datasets, you can use manual looping to iterate through the array and remove duplicates. Keep in mind that each alternative has its own trade-offs and may not offer the same performance or readability as using a library like Lodash.
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