Benchmark: Some vs. Filter vs. indexOf vs. Includes2

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.filter
var tempResult = !!Math.round(Math.random()) ? hasZero.filter(v => v === 0) : withoutZero.filter(v => v === 0);
Array.indexOf
var tempResult = !!Math.round(Math.random()) ? hasZero.indexOf(0) > -1 : withoutZero.indexOf(0) > -1;
Array.includes
var tempResult = !!Math.round(Math.random()) ? hasZero.includes(v => v === 0) : withoutZero.filter(v => v === 0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.some
Array.filter
Array.indexOf
Array.includes

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.

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

**Benchmark Definition**

The benchmark is defined by a single JSON object that contains the following properties:

* `Name`: The name of the benchmark, which is "Some vs. Filter vs. indexOf vs. Includes2".
* `Description`: An empty string, indicating no description for this benchmark.
* `Script Preparation Code`: A code snippet that sets up two arrays, `hasZero` and `withoutZero`, each containing 10,000 random integers (0 or 1). This code is executed before running the actual benchmark.
* `Html Preparation Code`: An empty string, indicating no HTML preparation is needed.

The script preparation code creates two arrays with a similar pattern:

* `hasZero` contains numbers from 0 to 1000.
* `withoutZero` contains numbers from 0 to 1000, but with an extra 1 added at the end (i.e., `Math.floor(Math.random() * 1000) + 1`).

**Individual Test Cases**

The benchmark consists of four individual test cases, each defined in a separate JSON object. Each test case has the following properties:

* `Benchmark Definition`: A code snippet that defines a single function call using one of the specified methods (`.some`, `.filter`, `.indexOf`, or `.includes`).
* `Test Name`: The name of the test case.

Let's analyze each test case:

1. `Array.some`:
	* The benchmark calls the `some()` method on both `hasZero` and `withoutZero`, checking if any element is equal to 0.
	* The code uses a ternary operator (`!!Math.round(Math.random()) ? ... : ...`) to randomly choose which array to test. This ensures that the same result is obtained for both arrays, allowing for accurate comparison of performance between the two methods.
2. `Array.filter`:
	* Similar to `.some()`, but uses the `filter()` method instead, removing elements from the array if they don't meet a condition (in this case, being equal to 0).
3. `Array.indexOf`:
	* Tests whether the index of 0 in both arrays is greater than -1.
4. `Array.includes`:
	* Similar to `.indexOf()`, but uses the `includes()` method instead, checking if an element is present in the array (in this case, the number 0).

**Library and Purpose**

All test cases use built-in JavaScript functions:

* `some()`: Returns `true` if at least one element in the array passes a test.
* `filter()`: Creates a new array with all elements that pass a test.
* `indexOf()`: Returns the index of the first occurrence of an element within a given array. If the element is not found, it returns -1.
* `includes()` : Returns true if an element is present in an array.

**Special JavaScript Feature or Syntax**

None of the test cases use special JavaScript features or syntax that requires specific knowledge to understand.

**Other Alternatives**

For measuring performance differences between these methods, other alternatives could include:

* Using a different data structure, such as a set or a linked list.
* Adding more complex conditions to the filtering process (e.g., testing for multiple values).
* Increasing or decreasing the size of the arrays to observe performance changes.
* Comparing performance using alternative programming languages or frameworks.

Keep in mind that these alternatives may not accurately represent real-world scenarios, but can provide additional insights into the relative performance characteristics of each method.

Related benchmarks:

Some vs. Filter vs. indexOf vs. Includes2 (version: 0)

Comparing performance of: Array.some vs Array.filter vs Array.indexOf vs Array.includes

Created: 6 years ago by: Guest

Jump to the latest result

Array.some

Array.filter

Array.indexOf

Array.includes

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):