Benchmark: Find the stray v2

Script Preparation code:

function stray_happy(numbers) {
  numbers = numbers.sort((a, b) => a - b);
  if (numbers[0] !== numbers[1]) {
    return numbers[0];
  }
  else {
    return numbers[numbers.length - 1];
  }
}


function stray_heretic(numbers) {
  return numbers.find(i => numbers.filter(j => j === i).length === 1);
}


function stray_shaye(numbers) {
  return +numbers.sort((a, b) => a - b)
  	.filter((n,i,a) => (i === 0 && a[0] !==a[1]) || (i === a.length-1 && a[a.length-1] !== a[a.length-2]));
}

function stray_user(a) {
  return a.find(v => a[0] != a[1] ? v != a[2] : v != a[0])
}

function stray_user_2(a) {
	a.find(a[0] != a[1] ? (v, i, a) => v != a[2] : (v, i, a) => v != a[0])
}

var numbers = [1,1,1,1,1,1,1,2,1,1,1,1,1,1,1]

Tests:

stray_happy
var n = stray_happy(numbers)
stray_heretic
var n = stray_heretic(numbers)
stray_shaye
var n = stray_shaye(numbers)
stray_user
var n = stray_user(numbers)
stray_user_2
var n = stray_user_2(numbers)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
stray_happy
stray_heretic
stray_shaye
stray_user
stray_user_2

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 benchmark and its individual test cases.

**Benchmark Definition JSON**

The benchmark definition is a JSON object that contains the details of the benchmark. Here's what it tells us:

* The benchmark name is "Find the stray v2".
* There are four different functions defined: `stray_happy`, `stray_heretic`, `stray_shaye`, and two variations of `stray_user` (and `stray_user_2`).
* Each function takes an array of numbers as input.
* The purpose of the benchmark is to measure which function is fastest in finding a "stray" element in the sorted array.

**Script Preparation Code**

The script preparation code is the JavaScript code that sets up the test environment. In this case, it defines the `numbers` array and creates an instance of each benchmark function.

**Individual Test Cases**

Each test case represents a single execution of one of the benchmark functions. The test cases are:

1. `stray_happy`
2. `stray_heretic`
3. `stray_shaye`
4. `stray_user`
5. `stray_user_2`

These test cases use different approaches to find the stray element in the sorted array.

**Options Compared**

The options compared are:

* `stray_happy`: uses a simple sort and then checks for the first two elements
* `stray_heretic`: uses the `find` method and filters out elements that match the previous one
* `stray_shaye`: uses a sort, filter, and some clever array manipulation to find the stray element
* `stray_user`: uses a similar approach to `stray_shaye`, but with slightly different syntax
* `stray_user_2`: another variation of `stray_user` with even more complex syntax

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

* `stray_happy`: simple and efficient, but may not work for large arrays.
	+ Pros: fast, easy to understand.
	+ Cons: assumes the array has at least two elements, can be slow for very large arrays.
* `stray_heretic`: uses the `find` method, which is a built-in JavaScript function.
	+ Pros: uses a standard JavaScript method, works well for large arrays.
	+ Cons: may not be as efficient as hand-rolled loops, depends on the browser's implementation of `find`.
* `stray_shaye`: uses a sort and filter, but with some clever array manipulation to find the stray element.
	+ Pros: works well for large arrays, can be fast.
	+ Cons: more complex than the other approaches, may require more resources.
* `stray_user` and `stray_user_2`: similar to `stray_shaye`, but with different syntax.
	+ Pros: work well for large arrays, can be fast.
	+ Cons: more complex than the other approaches, may require more resources.

**Libraries Used**

None of the benchmark functions use any external libraries. They are all pure JavaScript implementations.

**Special JS Features or Syntax**

There are no special JavaScript features or syntax used in this benchmark. The test cases only use standard JavaScript methods and operators.

**Alternatives**

If you want to improve performance or efficiency, you could consider using:

* Hand-rolled loops instead of built-in functions like `find`.
* Optimized sorting algorithms like quicksort or mergesort.
* Using native WebAssembly for high-performance computations.
* Parallelizing the benchmark using multiple threads or processes.

However, keep in mind that these optimizations may make the code more complex and harder to understand.

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0

Browser/OS: Firefox 118 on Linux

View result in a separate tab

Test name	Executions per second
stray_happy	2469699.2 Ops/sec
stray_heretic	406825.7 Ops/sec
stray_shaye	909649.6 Ops/sec
stray_user	3903393.5 Ops/sec
stray_user_2	5016806.5 Ops/sec

Related benchmarks:

Find the stray v2 (version: 0)

Comparing performance of: stray_happy vs stray_heretic vs stray_shaye vs stray_user vs stray_user_2

Created: 5 years ago by: Guest

Jump to the latest result

stray_happy

stray_heretic

stray_shaye

stray_user

stray_user_2

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):