Benchmark: Find the stray - MeasureThat.net

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])
}

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)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
stray_happy
stray_heretic
stray_shaye
stray_user

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

**Benchmark Explanation**

The provided JSON represents a JavaScript microbenchmarking test case on the MeasureThat.net website. The benchmark aims to find the stray element in an array of numbers.

There are four individual test cases: `stray_happy`, `stray_heretic`, `stray_shaye`, and `stray_user`. Each test case uses a different approach to find the stray element.

**Approaches Comparison**

1. **Stray User (stray_user)**:
	* Pros:
		+ Simple and easy to understand.
		+ Does not require sorting the array first.
	* Cons:
		+ May be slower due to unnecessary iterations.
2. **Stray Happy (stray_happy)**:
	* Pros:
		+ Uses a single pass through the sorted array, reducing unnecessary iterations.
	* Cons:
		+ Requires sorting the array first, which can be expensive for large datasets.
3. **Stray Heretic (stray_heretic)**:
	* Pros:
		+ Uses the `find` method and filtering, making it concise and efficient.
	* Cons:
		+ May not be as readable as other approaches due to its brevity.
4. **Stray Shaye (stray_shaye)**:
	* Pros:
		+ Combines sorting and filtering into a single expression, reducing code size.
	* Cons:
		+ Uses an unconventional approach with `+` operator conversion and array indexing.

**Library Usage**

None of the test cases explicitly use any libraries. However, the `find` method used in `stray_heretic` is a built-in JavaScript method that relies on the Array prototype.

**Special JS Features/Syntax**

The test cases do not use any special JavaScript features or syntax beyond the standard methods and operators mentioned earlier.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are a few:

* **Stray Linear Search**: Iterate through the array linearly to find the stray element. This approach is simple but may be slower due to unnecessary iterations.
* **Stray Binary Search**: Use binary search to find the stray element in the sorted array. This approach requires sorting the array first and may not be as readable as other approaches.

In conclusion, each test case has its strengths and weaknesses. The choice of approach depends on the specific requirements and constraints of the problem.

Related benchmarks:

Find the stray (version: 0)

Comparing performance of: stray_happy vs stray_heretic vs stray_shaye vs stray_user

Created: 6 years ago by: Guest

Jump to the latest result

stray_happy

stray_heretic

stray_shaye

stray_user

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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