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qasdfasdf
(version: 0)
Benchmark.js
Comparing performance of:
asdfasdf11 vs asdfasdf22
Created:
4 years ago
by:
Guest
Go to the latest result
Tests:
asdfasdf11
const foo = [] for(let i = 0; i < 10; i++) { foo.push(i) }
asdfasdf22
const foo = new Set() for(let i = 0; i < 10; i++) { foo.add(i) }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
asdfasdf11
asdfasdf22
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64; rv:142.0) Gecko/20100101 Firefox/142.0
Browser/OS:
Firefox 142 on Linux
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=616401" width="100%" height="500px"></iframe>
asdfasdf11
34.5M/s
asdfasdf22
5.2M/s
View exact numbers
Test name
Executions per second
✓
asdfasdf11
34,529,636 Ops/sec
asdfasdf22
5,226,874 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided JSON data to explain what's being tested, compared, and the pros/cons of different approaches. **Benchmark Definition** The benchmark definition is a simple JavaScript code snippet that creates an empty array or set and then populates it with 10 elements. This is likely intended to test the performance of creating and initializing large data structures. **Options Compared** There are two options being compared: 1. **Array creation**: The first benchmark definition uses `const foo = []` to create an empty array, which is then populated with numbers from 0 to 9 using a `for` loop. 2. **Set creation**: The second benchmark definition uses `const foo = new Set()` to create an empty set, which is then populated with numbers from 0 to 9 using the `add()` method. **Pros and Cons** Both approaches have their trade-offs: * **Array creation**: + Pros: Arrays are more memory-efficient for storing large amounts of data. + Cons: Pushing elements onto an array can be slower than adding elements to a set. * **Set creation**: + Pros: Sets are faster for inserting unique elements, as they don't need to check for duplicates. + Cons: Sets are less memory-efficient and may require more memory for large datasets. **Library** Neither of the benchmark definitions uses any external libraries. The `Set` object is a built-in JavaScript object that provides fast insertion and lookup capabilities. **Special JS Feature/Syntax** There's no special JavaScript feature or syntax being tested in these benchmarks. They're focused on comparing different approaches to creating and populating arrays and sets. **Other Alternatives** If you were looking for alternative data structures, some options might include: * **Linked lists**: A dynamic array-like data structure that can be more efficient than arrays for large datasets. * **Binary search trees**: A self-balancing binary tree data structure that can provide fast insertion and lookup capabilities. * **Hash tables**: A data structure that stores key-value pairs in an array using a hash function to map keys to indices. Keep in mind that these alternatives might not be relevant to the specific use case or performance characteristics of arrays and sets, so it's essential to evaluate their trade-offs before deciding on a suitable implementation. As for the benchmarking framework itself, MeasureThat.net provides a flexible platform for creating and running JavaScript microbenchmarks. It allows users to define benchmarks, run them multiple times with different configurations, and compare results across various browsers and devices.
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