Benchmark: cutArray - MeasureThat.net

Script Preparation code:

var size = 0xFFFF;
var data = new Array(size);
for (let i = 0; i < size; i++) {
	data[i] = 100*Math.random();
}

Tests:

length
data.length = Math.min(data.length,300);
filter
data = data.filter((i,index) => index <= 300)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
length
filter

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON and explain what's being tested on MeasureThat.net.

**Benchmark Definition**

The benchmark definition is a JavaScript snippet that prepares the test environment. In this case, it creates an array of 65536 elements (using `size = 0xFFFF`), fills it with random values between 0 and 100, and assigns it to the `data` variable. This setup is likely used to ensure that the benchmark is run on a large dataset.

**Test Cases**

There are two test cases:

1. **"length"`: This test case checks the length of the `data` array after assigning it to the `length` property.
2. **"filter"`: This test case creates a new filtered array using the `filter()` method, where each element is included if its index is less than or equal to 300.

**Options Compared**

In this benchmark, two options are being compared:

1. **Direct assignment**: Assigning the length of the `data` array directly to the `length` property.
2. **Filtered array creation**: Creating a new filtered array using the `filter()` method.

**Pros and Cons**

**Direct Assignment**

Pros:

* Simple and straightforward
* Likely to be faster, as it avoids creating an additional array

Cons:

* May not be suitable for all use cases (e.g., if you need to preserve the original data)

**Filtered Array Creation**

Pros:

* More flexible, as it allows for filtering without modifying the original data
* Can be useful in certain scenarios, such as when working with large datasets

Cons:

* Likely to be slower, as it creates an additional array and iterates over the original data

**Other Considerations**

* The use of `Math.min()` and `filter()` suggests that the benchmark is designed to test performance under various conditions.
* The presence of a randomization step (assigning values between 0 and 100) may help reduce noise in the results.

**Library Used**

In this benchmark, no libraries are explicitly mentioned. However, it's possible that MeasureThat.net uses an underlying framework or library to execute the JavaScript code.

**Special JS Feature/Syntax**

There is no explicit use of special JavaScript features or syntax in this benchmark.

**Alternatives**

If you were to create a similar benchmark, you could consider adding more test cases or exploring alternative approaches, such as:

* Using a different data structure (e.g., `Set`, `Map`)
* Employing parallel processing or concurrency
* Investigating the impact of caching, memoization, or other optimization techniques

Keep in mind that MeasureThat.net is specifically designed to test performance and microbenchmarks, so exploring alternative approaches would likely require modifications to the benchmark's setup and testing strategy.

Related benchmarks:

cutArray (version: 0)

Comparing performance of: length vs filter

Created: 4 years ago by: Guest

Jump to the latest result

length

filter

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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