Benchmark: Filter vs Find with FOr

Script Preparation code:

var arrOriginal = [1,2,3,4,5,6,7,8,9,10]
var response = [];

Tests:

find with for
for(const key in arrOriginal) { if ((key % 2) === 0) { response.push(key) } }
select with filter
arrOriginal.filter(number => number % 2 === 0)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
find with for
select with filter

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark compares two approaches to find even numbers in an array: using a `for` loop and using the `filter()` method.

**Options Compared**

There are two options being compared:

1. **Find with For**: This approach uses a `for` loop to iterate over the array elements and checks if each element is even (i.e., `key % 2 === 0`). If it's even, the element is pushed into the `response` array.
2. **Select with Filter**: This approach uses the `filter()` method to create a new array containing only the even numbers from the original array.

**Pros and Cons**

Here are some pros and cons of each approach:

**Find with For**

Pros:

* Can be optimized for specific use cases, such as when you need to iterate over an array in reverse order or have a fixed number of iterations.
* Allows for more control over the iteration process.

Cons:

* Can be slower than `filter()` because it involves iterating over the entire array and checking each element individually.
* More verbose code compared to `filter()`.
* May require additional memory allocations if the `response` array grows too large.

**Select with Filter**

Pros:

* Faster execution time compared to `find with For`, as it leverages optimized C++ implementation under the hood.
* Less verbose code, making it easier to read and maintain.
* More concise syntax, reducing the likelihood of errors.

Cons:

* May require additional memory allocations if the filtered array grows too large.
* Can be less intuitive for developers who are not familiar with `filter()` or don't understand its implementation details.

**Library Used**

In this benchmark, the `filter()` method is used to achieve the "select with filter" approach. The `filter()` function takes a callback function as an argument, which is applied to each element of the array. In this case, the callback function checks if the number is even and returns a boolean value (`true` for even numbers, `false` otherwise). If the callback returns `true`, the corresponding array element is included in the new filtered array.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax used in this benchmark. The code uses standard JavaScript syntax and features, such as arrays, loops, and callback functions.

**Other Alternatives**

If you're interested in exploring alternative approaches to find even numbers in an array, here are a few options:

* **Using `Array.prototype.every()`**: This method returns `true` if all elements of the array pass the test implemented by the provided function. You can use it like this: `arrOriginal.every((num) => num % 2 === 0)`.
* **Using `Array.prototype.some()`**: This method returns `true` if at least one element of the array passes the test implemented by the provided function. You can use it like this: `arrOriginal.some((num) => num % 2 === 0)`.

Keep in mind that these alternatives may not be as concise or readable as using `filter()` or a `for` loop, but they can provide different trade-offs depending on your specific use case and requirements.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Linux; Android 9; SAMSUNG SM-G960F) AppleWebKit/537.36 (KHTML, like Gecko) SamsungBrowser/11.1 Chrome/75.0.3770.143 Mobile Safari/537.36

Browser/OS: Chrome Mobile 75 on Android

View result in a separate tab

Test name	Executions per second
find with for	314368.8 Ops/sec
select with filter	3397707.2 Ops/sec

Related benchmarks:

Filter vs Find with FOr (version: 0)

Comparing performance of: find with for vs select with filter

Created: 4 years ago by: Guest

Jump to the latest result

find with for

select with filter

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):