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asdxzcasdqe
(version: 0)
Comparing performance of:
lodash union vs object.assign vs lodash uniq spread vs spread
Created:
4 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>
Tests:
lodash union
var a = [ 'a', 'b', 'c' ]; var b = [ 'b', 'd', 'a', 'e', 'f' ]; var c = _.union(a, b);
object.assign
var a = [ 'a', 'b', 'c' ]; var b = [ 'b', 'd', 'a', 'e', 'f' ]; var c = Object.assign([], a, b);
lodash uniq spread
var a = [ 'a', 'b', 'c' ]; var b = [ 'b', 'd', 'a', 'e', 'f' ]; var c = _.uniq([...a, ...b]);
spread
var a = [ 'a', 'b', 'c' ]; var b = [ 'b', 'd', 'a', 'e', 'f' ]; var c = [...a, ...b]
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
lodash union
object.assign
lodash uniq spread
spread
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 JSON data and explain what is tested, compared, and analyzed in the microbenchmarks. **Benchmark Definition JSON** The `Benchmark Definition` JSON contains metadata about the benchmark, including its name, description, script preparation code, and HTML preparation code. In this case: * The benchmark is named "asdxzcasdqe" with no description. * The script preparation code is empty, which means that the script should be executed without any additional setup or cleanup. * The HTML preparation code includes a link to the Lodash library (version 4.17.5) in the global scope. **Individual Test Cases** The test cases are defined within an array and contain two main elements: 1. `Benchmark Definition`: This is a JavaScript string that defines the benchmarking task. Each element represents a single test case. 2. `Test Name`: This is a descriptive name for each test case, which helps identify the specific operation being measured. The four test cases in this example are: * `lodash union` * `object.assign` * `lodash uniq spread` * `spread` These test cases measure the performance of different approaches to combine two arrays in JavaScript: 1. **`lodash union`**: This uses Lodash's `union` function to combine two arrays, which returns a new array containing all elements from both input arrays without duplicates. 2. **`object.assign`**: This uses the spread operator (`...`) with `Object.assign()` to merge two arrays into one. 3. **`lodash uniq spread`**: Similar to the previous point but also removes duplicates using Lodash's `uniq` function when spreading the arrays. 4. **`spread`**: Uses only the spread operator (`...`) to combine two arrays, which is a concise way to merge arrays. **Library and its Purpose** * **Lodash**: This is a popular JavaScript library that provides various utility functions for tasks like array manipulation, functional programming, and more. In this benchmark, Lodash's `union` function is used to compare the performance of different approaches to combine two arrays. **Special JS Features or Syntax** None mentioned in the provided data. **Pros and Cons of Different Approaches** Each approach has its own trade-offs: 1. **`lodash union`**: Pros: Easy to use, efficient; Cons: Adds overhead due to Lodash's function call. 2. **`object.assign`**: Pros: Fast, efficient; Cons: Requires using `Object.assign()` and the spread operator (`...`), which might be unfamiliar to some developers. 3. **`lodash uniq spread`**: Similar pros and cons as `object.assign`, but with an additional step of removing duplicates using Lodash's `uniq` function. 4. **`spread`**: Pros: Concise, easy to use; Cons: Requires a modern JavaScript version (ECMAScript 2015+) that supports the spread operator (`...`) and might not be familiar to all developers. **Other Alternatives** If you're interested in alternative approaches for combining arrays in JavaScript: 1. **Using `concat()`**: This is another common way to merge arrays, but it can be slower than using the spread operator or Lodash's `union` function. 2. **Using a custom implementation**: You could write your own implementation of array merging, which might be more efficient but also increases complexity and maintenance overhead. Keep in mind that these alternatives are not mentioned in the provided data, and their performance might vary depending on the specific use case and JavaScript environment. I hope this explanation helps!
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