Benchmark: Find the stray v3

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_eric(numbers) {
  if (numbers[0] != numbers[1] && numbers[0] != numbers[2]){
      return numbers[0];
  }
  return numbers.find(i => i !== numbers[0]);
}

N = 100
var numbers = Array(N).fill(1);
numbers[Math.floor(Math.random()*N)] = 2;

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_eric
var n = stray_eric(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_eric

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks!

**Benchmark Definition JSON**

The provided JSON represents a benchmark definition, which outlines the rules and structure for creating a microbenchmark. The main elements are:

1. **Script Preparation Code**: This is the JavaScript code that sets up the test environment, including variables, data structures, and any necessary libraries.
2. **Html Preparation Code**: This section is empty in this example, indicating that no HTML preparation code is required.

**Individual Test Cases**

The individual test cases are defined in a separate array, each representing a specific benchmark definition. These definitions include:

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

These functions are designed to find the "stray" element in an array of numbers, where a stray element is defined as an element that does not match its adjacent elements.

**Library Usage**

None of the test cases use any external libraries. However, they do utilize built-in JavaScript features like:

* Array methods (e.g., `sort()`, `filter()`)
* Functions (e.g., `find()`)

**Special JS Features and Syntax**

Some test cases use syntax specific to certain browsers or versions of JavaScript. For example:

* In `stray_shaye`, the `+` operator is used to convert the result of `sort()` to a number, which might not be the expected behavior in older browsers.
* In `stray_user`, the ternary operator (`a[0] != a[1] ? v != a[2] : v != a[0]`) might not be supported in all browsers.

**Approaches Compared**

The test cases compare different approaches to finding the stray element:

1. **Brute Force**: `stray_heretic` uses the `find()` method with a callback function, which iterates through the array and checks each element against its adjacent elements.
2. **Sorting and Scanning**: `stray_shaye` sorts the array and then scans it to find the stray element.
3. **Manual Iteration**: `stray_happy` and `stray_eric` use manual iteration to find the stray element.

**Pros and Cons of Each Approach**

Here's a brief summary:

* Brute Force (`stray_heretic`):
	+ Pros: simple, effective
	+ Cons: may be slower for large arrays due to the extra iteration
* Sorting and Scanning (`stray_shaye`):
	+ Pros: efficient for most cases
	+ Cons: assumes that the array is already sorted, which might not always be true
* Manual Iteration (`stray_happy`, `stray_eric`):
	+ Pros: more control over the iteration process
	+ Cons: may be slower due to manual iteration

**Other Alternatives**

There are other approaches to finding the stray element, such as:

1. Using a hash table or map to keep track of adjacent elements.
2. Utilizing browser-specific features like `Array.prototype.at()` (available in modern browsers).
3. Leveraging libraries like Lodash or Underscore.js for utility functions.

Keep in mind that these alternatives might introduce additional dependencies, complexity, or performance overhead.

Latest run results:

Run details: (Test run date: 5 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:67.0) Gecko/20100101 Firefox/67.0

Browser/OS: Firefox 67 on Windows

View result in a separate tab

Test name	Executions per second
stray_happy	645755.9 Ops/sec
stray_heretic	9760.0 Ops/sec
stray_shaye	430667.5 Ops/sec
stray_user	1217700.9 Ops/sec
stray_eric	1324060.2 Ops/sec

Related benchmarks:

Find the stray v3 (version: 0)

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

Created: 5 years ago by: Guest

Jump to the latest result

stray_happy

stray_heretic

stray_shaye

stray_user

stray_eric

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):