Benchmark: sdasdavg2d2dasdqxxxxx

Script Preparation code:

window.DATA = Array(10000);

Tests:

map
let result = []; result = DATA.map(d => d + 1); result = DATA.map(d => d + 1); result = DATA.map(d => d + 1); result = DATA.map(d => d + 1);
loop
let result = []; for (const d in DATA) { result.push(d + 1); } result = []; for (const d in DATA) { result.push(d + 1); } result = []; for (const d in DATA) { result.push(d + 1); } result = []; for (const d in DATA) { result.push(d + 1); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
map
loop

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36

Browser/OS: Chrome 125 on Windows

View result in a separate tab

Test name	Executions per second
map	7310.5 Ops/sec
loop	11657.1 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark information and explain what's being tested.

**Benchmark Definition**

The benchmark definition is a JSON object that provides metadata about the benchmark, including its name, description, script preparation code, and HTML preparation code. In this case:

* The `Name` field contains a unique identifier for the benchmark.
* The `Description` field is empty, suggesting that no detailed explanation of the benchmark's purpose is provided.
* The `Script Preparation Code` field is executed before running each test case. It creates an array called `DATA` with 10,000 elements and assigns it to the `window.DATA` variable.
* The `Html Preparation Code` field is empty, indicating that no HTML-related setup is required.

**Individual Test Cases**

The benchmark consists of two individual test cases:

1. **map**: This test case uses the `Array.prototype.map()` method to transform each element in the `DATA` array by adding 1 to it. The test case repeats this operation four times, with each iteration overwriting the previous result.
2. **loop**: This test case uses a `for...in` loop to iterate over the elements of the `DATA` array and push the incremented value to an empty array called `result`. Similar to the "map" test case, this is repeated four times.

**Comparison of Approaches**

Both test cases use different approaches:

* The **map** test case uses a built-in JavaScript method (`Array.prototype.map()`) to transform the data. This approach is concise and efficient.
* The **loop** test case uses a `for...in` loop, which can be slower than using a built-in method like `map()` due to the overhead of looping through the array.

Pros and Cons:

* **map**:
	+ Pros: Concise code, efficient, built-in method.
	+ Cons: May not be as easy to understand for beginners or those unfamiliar with JavaScript methods.
* **loop**:
	+ Pros: Can be easier to understand for beginners or those familiar with loops.
	+ Cons: More verbose code, may be slower due to loop overhead.

**Special JS Features/Syntax**

There are no special JavaScript features or syntax used in this benchmark. Both test cases use standard JavaScript methods and constructs (e.g., `Array.prototype.map()`, `for...in` loops).

**Other Considerations**

* **Browser and Device**: The benchmark is executed on a Chrome 125 browser, running on a Windows Desktop.
* **Executions Per Second**: The "loop" test case results in higher executions per second (11657.0986328125) compared to the "map" test case (7310.5341796875). This suggests that the `for...in` loop approach may be slower.

**Alternatives**

Other alternatives for this benchmark could include:

* Using a different JavaScript method, such as `forEach()` or a custom implementation.
* Replacing the `for...in` loop with an array-based iteration (e.g., using `Array.prototype.forEach()`).
* Adding more test cases to compare other approaches or optimize performance.

Keep in mind that these alternatives would require significant changes to the benchmark definition and script preparation code.

Related benchmarks:

sdasdavg2d2dasdqxxxxx (version: 0)

Comparing performance of: map vs loop

Created: one year ago by: Guest

Jump to the latest result

map

loop

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):