Benchmark: Binary to boolean with DataView: slice() with map() vs. slice() with for loop

Tests:

slice() with map()
const length = 1000; const arrayBuffer = new ArrayBuffer(length); const array = new Uint8Array(arrayBuffer); for (let i = 0; i < length; i++) { array[i] = 22; } const dataView = new DataView(arrayBuffer); const transferArray = new Uint8Array(dataView); const resultArray = [...transferArray].map(Boolean);
slice() with for loop
const length = 1000; const arrayBuffer = new ArrayBuffer(length); const array = new Uint8Array(arrayBuffer); for (let i = 0; i < length; i++) { array[i] = 22; } const dataView = new DataView(arrayBuffer); const transferArray = new Uint8Array(dataView); const resultArray = [...transferArray]; for (let i = 0; i < length; i++) { resultArray[i] = Boolean(resultArray[i]); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
slice() with map()
slice() with for loop

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

**Benchmark Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks, comparing different approaches to a specific task.

The provided benchmark definition is testing two approaches to convert binary data from a DataView to a boolean array:

1. **slice() with map()**: This approach uses the `Array.prototype.slice()` method to extract a subset of elements from the DataView's Uint8Array and then applies the `Boolean()` function to each element using `Array.prototype.map()`.
2. **slice() with for loop**: This approach extracts a subset of elements from the DataView's Uint8Array using `Array.prototype.slice()`, and then iterates over the resulting array using a traditional `for` loop, applying the `Boolean()` function to each element.

**Options Comparison**

The two approaches have different pros and cons:

* **slice() with map()**: This approach is likely faster because it uses the optimized `map()` function to apply the conversion to all elements in parallel. However, this might come at the cost of more memory usage due to the creation of a new array.
	+ Pros: Faster execution time
	+ Cons: Higher memory usage
* **slice() with for loop**: This approach is likely slower because it uses a traditional `for` loop to iterate over each element individually. However, this might be more memory-efficient since it doesn't create a new array.
	+ Pros: Lower memory usage
	+ Cons: Slower execution time

**Library and Special JS Features**

In the benchmark definition, the library used is not explicitly mentioned. However, the use of `DataView` and `ArrayBuffer` suggests that the test relies on Web Workers or worker threads to execute the code.

There are no special JavaScript features (e.g., async/await, generators) used in this benchmark.

**Other Alternatives**

If you were to write a similar benchmark, you could also consider the following alternatives:

* Using `Array.from()` instead of `slice()`: This would eliminate the need for the `for` loop and potentially make the code more concise.
* Using a more efficient conversion function (e.g., bitwise operations): Depending on the specific requirements, it might be possible to find a more efficient way to convert binary data to boolean values.

Keep in mind that these alternatives would likely change the execution time and memory usage characteristics of the benchmark.

Latest run results:

Run details: (Test run date: 3 months ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36

Browser/OS: Chrome 127 on Linux

View result in a separate tab

Test name	Executions per second
slice() with map()	422438.9 Ops/sec
slice() with for loop	8035.1 Ops/sec

Related benchmarks:

Binary to boolean with DataView: slice() with map() vs. slice() with for loop (version: 0)

Comparing performance of: slice() with map() vs slice() with for loop

Created: 3 months ago by: Guest

Jump to the latest result

slice() with map()

slice() with for loop

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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