Benchmark: function-overload

HTML Preparation code:

<script>
  class Vector {
    constructor( x, y, z ) {
        this.x = x || 0;
        this.y = y || 0;
        this.z = z || 0;
    }
    add( v ) {
        if ( v.x == undefined ) {
            this.x += v;
            this.y += v;
            this.z += v;
        } else {
            this.x += v.x;
            this.y += v.y;
            this.z += v.z;
        }
    }
    add2( v ) {
        if ( v instanceof Number ) {
            this.x += v;
            this.y += v;
            this.z += v;
        } else {
            this.x += v.x;
            this.y += v.y;
            this.z += v.z;
        }
    }
    addScalar( v ) {
        this.x += v;
        this.y += v;
        this.z += v;
    }
    addVector( v ) {
        this.x += v.x;
        this.y += v.y;
        this.z += v.z;
    }
}
let a = new Vector( 1, 2, 3 );
let v = new Vector();
</script>

Tests:

add
a.add( 0 ); a.add( v );
add2
a.add2( 0 ); a.add2( v );
add separated
a.addScalar( 0 ); a.addVector( v );

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
add
add2
add separated

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 definition and explain what is being tested, compared, and the pros/cons of each approach.

**Benchmark Definition**

The benchmark measures the performance of different methods for adding values to a 3D vector object in JavaScript.

**Script Preparation Code**

The script preparation code defines a `Vector` class with four overloaded `add` methods:

1. `add(v)`: adds a value `v` to each component of the vector if `v` has no x, y, or z properties; otherwise, it adds only the corresponding components.
2. `add2(v)`: adds a scalar value `v` to each component of the vector if `v` is an instance of Number; otherwise, it adds only the corresponding components (similar to `add(v)`).
3. `addScalar(v)`: adds a scalar value `v` to each component of the vector.
4. `addVector(v)`: adds a vector object `v` to each component of the vector.

**Individual Test Cases**

The benchmark consists of three test cases:

1. **"add"`**: tests the first overloaded `add` method (`a.add(0);a.add(v);`)
2. **"add2"`**: tests the second overloaded `add2` method (`a.add2(0);a.add2(v);`)
3. **"add separated"`**: tests the combination of `addScalar(v)` and `addVector(v)` methods (`a.addScalar(0);a.addVector(v);`)

**Options Compared**

The benchmark compares the performance of three approaches:

1. **Single method**: uses a single overloaded method to add values to the vector (e.g., `a.add(v)`)
2. **Multiple methods**: uses separate methods for adding scalar and vector values (`a.addScalar(v)` and `a.addVector(v)`)
3. **Mixed methods**: combines scalar and vector addition in a single operation (`a.addScalar(0);a.addVector(v);`)

**Pros and Cons**

Here are the pros and cons of each approach:

1. **Single method (e.g., `a.add(v)`)**:
	* Pros: simple, efficient, and easy to understand
	* Cons: may be less flexible or powerful than other approaches
2. **Multiple methods (e.g., `a.addScalar(v)` and `a.addVector(v)`)**:
	* Pros: more flexible and powerful than single method approach, but may introduce overhead due to multiple function calls
	* Cons: can lead to code complexity and maintainability issues if not used carefully
3. **Mixed methods (e.g., `a.addScalar(0);a.addVector(v);`)**:
	* Pros: balances flexibility with performance by combining scalar and vector addition in a single operation
	* Cons: may be less intuitive or harder to read than other approaches

**Library and Special JS Features**

The benchmark uses the `instanceof` operator to check if an object is an instance of Number, which is a built-in JavaScript feature.

**Other Alternatives**

If you need to test performance differences between these approaches, you can consider adding additional test cases or variations, such as:

* Using different types of input values (e.g., numbers, objects, arrays) for the vector and scalar operations
* Adding more overloaded methods or modifying existing ones to change the logic or behavior
* Testing with larger or more complex data sets to simulate real-world scenarios

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36

Browser/OS: Chrome 79 on Mac OS X 10.15.1

View result in a separate tab

Test name	Executions per second
add	2852156.2 Ops/sec
add2	2698988.8 Ops/sec
add separated	2978357.2 Ops/sec

Related benchmarks:

function-overload (version: 0)

Comparing performance of: add vs add2 vs add separated

Created: 4 years ago by: Guest

Jump to the latest result

add

add2

add separated

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):