Benchmark: smallest - MeasureThat.net

Script Preparation code:

var data = [
    {
        "property": {
            "attributes": {
                "Division": "Lease"
            }
        },
        "distance": 2246.2370543234983
    },
    {
        "property": {
            "attributes": {
                "Division": "Other"
            }
        },
        "distance": 1933.140699574846
    },
    {
        "property": {
            "attributes": {
                "Division": "Somewhere"
            }
        },
        "distance": 1923.7492555791712
    },
    {
        "property": {
            "attributes": {
                "Division": "Other"
            }
        },
        "distance": 1922.1415226358515
    },
    {
        "property": {
            "attributes": {
                "Division": "Somewhere"
            }
        },
        "distance": 1960.0063586220126
    }
]

Tests:

grok
function findSmallestDistance() { const result = {}; for (const item of data) { const division = item.property.attributes.Division; const distance = item.distance; if (result[division]) { if (distance < result[division].distance) { result[division].distance = distance; } } else { result[division] = { division: division, distance: distance }; } } return result; } findSmallestDistance();
reduceMethod
const reduceMethod = ()=> { const divisions = data.reduce((acc, i) => { const { attributes: { Division } } = i.property; if (!acc.has(Division) || acc.get(Division).distance > i.distance) { acc.set(Division, { distance: i.distance, division: Division }); } return acc; }, new Map()); return Object.fromEntries(divisions); } reduceMethod();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
grok
reduceMethod

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36

Browser/OS: Chrome 122 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
grok	8106080.0 Ops/sec
reduceMethod	1871464.6 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll break down the benchmark for you.

**Benchmark Overview**

The benchmark is designed to measure the performance of two different approaches: finding the smallest distance in an array of objects using a simple iterative approach (`grok`) and using the `reduce()` method with a Map data structure (`reduceMethod`).

**Options Compared**

Two options are compared:

1. **Simple Iterative Approach (Grok)**: This approach iterates over the array of objects, keeping track of the smallest distance for each division.
2. **Reduce Method with Map (Reduce Method)**: This approach uses the `reduce()` method to iterate over the array of objects and update a Map data structure with the smallest distance for each division.

**Pros and Cons**

* **Simple Iterative Approach (Grok)**
	+ Pros:
		- Easy to understand and implement.
		- Suitable for small to medium-sized datasets.
	+ Cons:
		- May have higher memory usage due to the need to store intermediate results in variables.
		- Can be slower than the `reduce()` method approach for large datasets.
* **Reduce Method with Map (Reduce Method)**
	+ Pros:
		- More efficient memory usage, as it uses a Map data structure to store intermediate results.
		- Can handle larger datasets without significant performance degradation.
	+ Cons:
		- May be more difficult to understand and implement for those unfamiliar with the `reduce()` method or Map data structures.

**Library Used**

In both test cases, no libraries are explicitly mentioned. However, the use of a Map data structure in the `Reduce Method` approach implies that it is implicitly using the built-in `Map` object in JavaScript.

**Special JS Feature/Syntax**

None.

**Benchmark Preparation Code**

The benchmark preparation code defines an array of objects (`data`) with a specific format, including properties and attributes. The `Script Preparation Code` section provides a JavaScript function (`findSmallestDistance()`) that implements the iterative approach (Grok), while the `Html Preparation Code` section is empty.

**Individual Test Cases**

The benchmark consists of two test cases:

1. **Grok**: This test case uses the simple iterative approach to find the smallest distance in the array of objects.
2. **Reduce Method**: This test case uses the `reduce()` method with a Map data structure to achieve the same result.

**Latest Benchmark Result**

The latest benchmark result provides information on the performance of each test case, including:

* Browser and device platform
* Operating system
* Executions per second (FPS)

This suggests that the `Reduce Method` approach is faster than the simple iterative approach for this specific dataset.

Related benchmarks:

smallest (version: 0)

Comparing performance of: grok vs reduceMethod

Created: 2 years ago by: Guest

Jump to the latest result

grok

reduceMethod

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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