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lodash partition vs forEach with array spread iterator vs array push vs for each with concat vs two filters
(version: 0)
Comparing performance of:
Lodash partition vs forEach with push vs forEach with spread vs forEach with concat vs two filters
Created:
3 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 tabl = Array.from({ length: 100000 }).map((value, i) => i)
Tests:
Lodash partition
let result = _.partition(tabl, v => v%2)
forEach with push
let a = [], b = []; let result = tabl.forEach(item => {if (item%2) {a.push(item)} else {b.push(item)}})
forEach with spread
let a = [], b = []; let result = tabl.forEach(item => {if (item%2) {a = [...a, item]} else {b = [...b, item]}})
forEach with concat
let a = [], b = []; let result = tabl.forEach(item => {if (item%2) {a = a.concat(item)} else {b = b.concat(item)}})
two filters
a = tabl.filter(item => item % 2) b = tabl.filter(item => !item % 2)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (5)
Previous results
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Test case name
Result
Lodash partition
forEach with push
forEach with spread
forEach with concat
two filters
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 dive into explaining the provided benchmark and its various test cases. **Benchmark Overview** MeasureThat.net is a website where users can create and run JavaScript microbenchmarks. The provided JSON represents a benchmark that compares different approaches to partition an array in JavaScript using the `lodash` library, as well as three other approaches without using any external libraries. **Test Cases** There are four test cases: 1. **Lodash Partition**: This test case uses the `partition` function from the `lodash` library to divide an array into two parts based on a given predicate. 2. **ForEach with Push**: This test case iterates over an array using the `forEach` method and pushes elements to separate arrays based on a condition. 3. **ForEach with Spread**: Similar to the previous test case, but instead of pushing elements directly, it uses the spread operator (`...`) to create new arrays. 4. **ForEach with Concat**: This test case iterates over an array using `forEach` and concatenates elements to separate arrays. 5. **Two Filters**: This test case uses two separate `filter` functions to achieve the same result as the previous three test cases. **Options Comparison** The different approaches have varying performance characteristics: * **Lodash Partition**: The `partition` function is a built-in function in Lodash, and it's optimized for performance. It returns two arrays of equal length, which can be beneficial when working with large datasets. * **ForEach with Push**: This approach can lead to slower performance because it involves iterating over the array multiple times (once for each array). Additionally, pushing elements to an array using `push` can be inefficient due to the overhead of resizing the array. * **ForEach with Spread**: Using the spread operator (`...`) creates a new array, which can be expensive in terms of memory allocation and garbage collection. However, it's often more readable and concise than other approaches. * **ForEach with Concat**: This approach involves concatenating arrays using `concat`, which can lead to slower performance due to the overhead of creating a new array. **Pros and Cons** Here are some pros and cons for each approach: * **Lodash Partition**: + Pros: Optimized for performance, returns two arrays of equal length. + Cons: Only works with Lodash library. * **ForEach with Push**: + Pros: None notable. + Cons: Can be slower due to multiple iterations and resizing the array. * **ForEach with Spread**: + Pros: Concise, readable code. + Cons: Creates a new array, can lead to memory allocation issues. * **ForEach with Concat**: + Pros: None notable. + Cons: Can be slower due to concatenation overhead. **Other Considerations** When choosing an approach, consider the following factors: * Readability and maintainability of the code * Performance requirements for your specific use case * Library dependencies (in this case, Lodash) * Memory allocation and garbage collection implications **Alternatives** If you're looking for alternative approaches to partitioning arrays in JavaScript without using libraries like Lodash, consider the following: * Using `Array.prototype.filter()` with a callback function * Implementing your own partition algorithm from scratch (e.g., using bitwise operations) * Utilizing modern JavaScript features like async/await and iterators Keep in mind that these alternatives may not offer the same level of performance or convenience as the tested approaches.
Related benchmarks:
lodash partition vs forEach with array push
lodash partition vs forEach with array push vs two filter loops
lodash partition vs forEach with array spread iterator vs array push
lodash partition vs forEach with array spread iterator vs array push vs for each with concat vs two filters with 10000
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