Benchmark: kjnzjv - MeasureThat.net

Script Preparation code:

var arr = [{state: 1, provider_id: 3}, {state: 1, provider_id: 3}, {state: 1, provider_id: 3}, {state: 1, provider_id: 3}, {state: 1, provider_id: 3}, {state: 0, provider_id: 3}, {state: 1, provider_id: 3}, {state: 0, provider_id: 3}, {state: 1, provider_id: 3}, {state: 1, provider_id: 3}]

Tests:

ckzv
arr .filter(({ state }) => state === 1) .map(({ provider_id }) => provider_id)
coucou2
arr .filter(({ state }) => state === 0) .map(({ provider_id }) => provider_id)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ckzv
coucou2

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'd be happy to help you understand the JavaScript microbenchmark provided by MeasureThat.net.

**Benchmark Definition**

The benchmark definition is represented by two JSON objects: `Script Preparation Code` and `Html Preparation Code`. The script preparation code defines a JavaScript array `arr` with 11 elements, each containing two properties: `state` and `provider_id`. The html preparation code is empty (`null`) in this case.

**Individual Test Cases**

The benchmark consists of two test cases, represented by an array of objects. Each object contains a `Benchmark Definition` (a JavaScript snippet) and a `Test Name`.

1. **Test Case 1: `ckzv`**
	* Benchmark Definition: `arr.filter(({ state }) => state === 1).map(({ provider_id }) => provider_id)`
	* This test case filters the array to only include elements with `state` equal to 1, and then maps each element to its `provider_id`.
2. **Test Case 2: `coucou2`**
	* Benchmark Definition: `arr.filter(({ state }) => state === 0).map(({ provider_id }) => provider_id)`
	* This test case filters the array to only include elements with `state` equal to 0, and then maps each element to its `provider_id`.

**Library**

The benchmark uses the Lodash library, which is a popular JavaScript utility library. The two benchmark definitions use the `filter()` and `map()` methods provided by Lodash.

**Pros and Cons of Different Approaches**

There are several approaches to solve this benchmark:

1. **Native JavaScript**: Implementing the filter and map operations using only native JavaScript functions (e.g., `Array.prototype.filter()` and `Array.prototype.map()`).
	* Pros: Simple, easy to understand.
	* Cons: May not be optimized for performance.
2. **Lodash library**: Using the Lodash library to implement the filter and map operations.
	* Pros: Optimized for performance, easy to use.
	* Cons: Requires additional dependencies, may not be suitable for all use cases.
3. **Other libraries or frameworks**: Other JavaScript libraries or frameworks (e.g., Ramda) could also be used to implement the benchmark.

**Special JS Features or Syntax**

There are no special JavaScript features or syntax used in this benchmark.

**Alternative Implementations**

Other possible implementations of the benchmark include:

1. Using a custom implementation with native JavaScript functions.
2. Using a different library (e.g., Ramda) to implement the filter and map operations.
3. Using a Just-In-Time (JIT) compiler to optimize the performance of the benchmark.

**Benchmark Considerations**

When creating benchmarks like this, consider the following:

1. **Simplify the input data**: Use simple, repeating patterns for better comparison results.
2. **Use relevant hardware and software configurations**: Test with various devices, browsers, and operating systems to get representative results.
3. **Minimize noise in the results**: Consider how variations in execution time might impact your conclusions.

Keep in mind that benchmarking is an art, not a science. Experimentation, iteration, and careful consideration of different approaches are essential to obtaining accurate and meaningful results.

Related benchmarks:

kjnzjv (version: 0)

okznnvz

Comparing performance of: ckzv vs coucou2

Created: 6 years ago by: Guest

Jump to the latest result

ckzv

coucou2

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):