Benchmark: unique string - MeasureThat.net

Script Preparation code:


var a = [];
for (var ai = 0; ai < 10e3; ai++) {
  a.push(String(Math.random()));
}

var o = {};
var e = document.createElement('span');
var l = e.classList;

Tests:

object
for (var oi = 0; oi < a.length; oi++) { o[a[oi]] = true; } var oResult = Object.keys(o); o = {};
class list
for (var li = 0; li < a.length; li++) { l.add([a[li]]); } var oResult = Array.prototype.slice(l); e.className = '';

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
object
class list

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

**Benchmark Explanation**

The provided JSON represents a JavaScript microbenchmark test case on the MeasureThat.net website. The benchmark is designed to measure the performance of two different approaches for removing duplicates from an array of strings.

**Approaches Compared**

There are two approaches compared in this benchmark:

1. **Object Approach**: This approach uses an object (`o`) to keep track of unique elements encountered so far. It iterates through the input array `a`, and for each element, it checks if the element is already present in the object `o`. If not, it adds the element to the object. Finally, it returns a new array containing only the unique elements.
2. **Class List Approach**: This approach uses a class list (`l`) to keep track of unique elements encountered so far. It iterates through the input array `a`, and for each element, it adds the element as an array to the class list `l`. Finally, it returns a new array containing all the elements in the class list.

**Pros and Cons**

* **Object Approach**: This approach is simple and straightforward. However, it has a higher memory overhead due to the use of an object to store unique elements.
* **Class List Approach**: This approach uses a more optimized data structure (class list) to keep track of unique elements. It also avoids the need for explicit loops or conditional statements, making it potentially faster.

However, there are some potential drawbacks:

* **Class List Approach**: The class list API is specific to Chrome and only works in modern browsers that support it. This approach may not be compatible with older browsers.
* **Object Approach**: While it has a higher memory overhead, the object approach is more widely supported by modern browsers.

**Library and Special JS Features**

In this benchmark, no libraries are explicitly mentioned. However, it's worth noting that both approaches use modern JavaScript features such as:

* Iterators ( `for...of` loop)
* Classes ( `class` keyword)

The class list API used in the Class List Approach is a proprietary feature of Chrome and only works in modern browsers.

**Alternative Approaches**

Other alternative approaches to remove duplicates from an array of strings might include:

* Using `Set` data structure, which is supported by most modern browsers.
* Using regular expressions with the `Map` object, which can provide a more efficient solution for larger datasets.
* Using a custom implementation using bit manipulation techniques, which can be fast but may not be as readable or maintainable.

In conclusion, both approaches have their pros and cons, and the choice of approach depends on the specific use case, performance requirements, and compatibility with different browsers.

Latest run results:

Run details: (Test run date: 7 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36

Browser/OS: Chrome 56 on Mac OS X 10.12.3

View result in a separate tab

Test name	Executions per second
object	141.9 Ops/sec
class list	0.2 Ops/sec

Related benchmarks:

unique string (version: 0)

get an array of strings and return a new array that is a copy of the original without duplicates

Comparing performance of: object vs class list

Created: 7 years ago by: Guest

Jump to the latest result

object

class list

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):