Benchmark: include vs set - MeasureThat.net

Script Preparation code:

var a = ['a', 'b', 'c', 'k', 'm', 's', 'x'];
var s = new Set(a);
var tests = [...'abcdefghijklmnopqrstuvwxyz'];

Tests:

include
for(const t of tests) { a.includes(t); }
set
for(const t of tests) { s.has(t); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
include
set

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:134.0) Gecko/20100101 Firefox/134.0

Browser/OS: Firefox 134 on Mac OS X 10.15

View result in a separate tab

set

7.7M/s

include

1.6M/s

View exact numbers

Test name	Executions per second
✓ set	7,732,457 Ops/sec
include	1,593,212 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and explore what's being tested in this benchmark.

**What is being tested?**

The provided JSON represents two test cases, each designed to measure the performance difference between using the `includes()` method versus creating a new `Set` object with an array as its argument. The test data consists of a predefined array `a` containing 7 elements and a larger string array `'abcdefghijklmnopqrstuvwxyz'`.

**Options being compared**

There are two main approaches being tested:

1. **Using `includes()`**: This approach uses the `includes()` method to check if each element in the `tests` array is present in the `a` array.
2. **Creating a new `Set` object with an array as its argument**: In this approach, a new `Set` object is created from the `a` array using the spread operator (`[...a]`). Then, each element in the `tests` array is checked against this set using the `has()` method.

**Pros and Cons of each approach**

1. **Using `includes()`**:
	* Pros: Easy to implement, straightforward algorithm.
	* Cons: May be slower due to the overhead of string concatenation and searching for each element in the array.
2. **Creating a new `Set` object with an array as its argument**:
	* Pros: Can potentially be faster since looking up elements in a set is typically O(1) amortized time complexity compared to O(n) for linear searches.
	* Cons: Requires creating a new object, which may incur additional memory allocation and garbage collection overhead.

**Library and purpose**

The `Set` object used in the benchmark is part of the JavaScript API. A `Set` represents an unordered collection of unique values, allowing efficient membership testing using the `has()` method.

**Special JS feature or syntax**

None are explicitly mentioned in this benchmark.

**Other alternatives**

There are alternative approaches that could be considered:

* Using a `Map` object instead of a `Set`: While both provide efficient membership testing, `Map`s offer additional functionality like key-value pairs.
* Utilizing a data structure optimized for fast lookup, such as a trie or a hash table: These data structures might outperform the built-in `Set` and `includes()` methods in specific scenarios.

Keep in mind that these alternatives may not be relevant to this particular benchmark's focus on comparing the performance of `includes()` versus creating a new `Set` object.

include vs set (version: 0)

include vs set

Comparing performance of: `include vs set`

Created: 3 years ago by: Guest

Go to the latest result

include

set

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

include vs set (version: 0)

include vs set

Comparing performance of: include vs set

Created: 3 years ago by: Guest

Go to the latest result

include

set

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

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Comparing performance of: `include vs set`