Benchmark: Some vs. Find - MeasureThat.net

Script Preparation code:

var hasZero = [];
var withoutZero = [];
for (var i = 0; i < 10000; i++) {
  hasZero.push(Math.floor(Math.random() * 1000));
  withoutZero.push(Math.floor(Math.random() * 1000) + 1)
}

Tests:

Array.some
var tempResult = !!Math.round(Math.random()) ? hasZero.some(v => v === 0) : withoutZero.some(v => v === 0);
Array.find
var tempResult = !!Math.round(Math.random()) ? hasZero.find(v => v === 0) : withoutZero.find(v => v === 0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.some
Array.find

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:84.0) Gecko/20100101 Firefox/84.0

Browser/OS: Firefox 84 on Windows

View result in a separate tab

Test name	Executions per second
Array.some	25331.2 Ops/sec
Array.find	25075.7 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON and explain what's being tested, compared, and some considerations.

**Benchmark Definition**

The benchmark is designed to compare the performance of two approaches for checking if an array contains a specific value: `Array.some` and `Array.find`. The script preparation code generates two arrays, `hasZero` and `withoutZero`, each containing 10,000 random integers between 0 and 1000. One array always includes zero (either at the beginning or end), while the other does not.

**Script Preparation Code**

The script prepares the test data by creating two empty arrays, `hasZero` and `withoutZero`. Then, it uses a loop to populate these arrays with random integers. The purpose of using `Math.floor(Math.random() * 1000)` is to generate random numbers between 0 and 999. Adding 1 to the random number in the second array ensures that zero is never included.

**Html Preparation Code**

There is no HTML preparation code provided, which means that this benchmark only tests the JavaScript engine's performance without considering any HTML-related aspects.

**Individual Test Cases**

The benchmark has two test cases:

1. `Array.some`: This test case uses the `some()` method to check if at least one element in the array matches a specific condition (in this case, being equal to zero).
2. `Array.find`: This test case uses the `find()` method to retrieve the first element that satisfies a given condition (in this case, being equal to zero).

**Library and Purpose**

Neither `Array.some` nor `Array.find` rely on external libraries. These methods are native JavaScript functions that can be used directly in any JavaScript application.

However, it's worth noting that the `Math.round()` function is used with a bitwise NOT operator (`!!`) to simulate a scenario where the test case might encounter NaN (Not a Number) values due to floating-point arithmetic issues. In some cases, using `Math.floor(Math.random() * 1000)` can result in zero being rounded to a value very close to zero, causing `NaN` when applying the bitwise NOT operator.

**Special JS Feature**

The use of `!!` with `Math.round()` is an example of a special JavaScript feature called "bitwise not" or "Boolean negation." It's used to convert a number to a Boolean value. In this context, it's used to simulate a condition where the presence of zero would trigger the test case.

**Other Alternatives**

If you're interested in creating similar benchmarks for other JavaScript functions, some alternatives include:

* `Array.includes()`: This method is similar to `some()` but returns only the first occurrence that matches the given condition.
* `Array.prototype.every()`: This method checks if all elements in an array satisfy a given condition.

Related benchmarks:

Some vs. Find (version: 0)

Comparing performance of: Array.some vs Array.find

Created: 3 years ago by: Guest

Jump to the latest result

Array.some

Array.find

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):