Benchmark: boolean comparator

Script Preparation code:

var values = [];
for(let i = 0; i < 100000; i++) {
  values.push(Math.random() < 0.5 ? false : true);
}

Tests:

compare
values.sort((a, b) => a === b ? 0 : (a ? 1 : -1));
number coersion
values.sort((a, b) => a - b);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
compare
number coersion

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases to understand what's being tested.

**Benchmark Definition**

The benchmark is created using JSON, which defines a set of scripts and their execution plans. The key sections are:

* `Script Preparation Code`: This code is executed once before running the benchmark. In this case, it generates an array of 100,000 random boolean values.
* `Html Preparation Code`: This section is empty in this example.

**Individual Test Cases**

There are two test cases defined:

1. **Test Case: "compare"**
	* `Benchmark Definition`: The code sorts the generated array using a custom comparison function `(a, b) => a === b ? 0 : (a ? 1 : -1)`.
	* Purpose: This test case measures the performance of JavaScript's sorting algorithm when comparing booleans.
2. **Test Case: "number coersion"**
	* `Benchmark Definition`: The code sorts the generated array using the built-in `sort()` method with a comparison function `(a, b) => a - b`.
	* Purpose: This test case measures the performance of JavaScript's sorting algorithm when converting numbers to integers.

**Library and Features Used**

The only library used in these benchmark definitions is JavaScript itself. There are no external libraries or frameworks mentioned.

However, it's worth noting that the `compare` function uses a custom comparison operator (`===` and `!==`) which may not be supported by all browsers. But in this case, since both test cases use the same `sort()` method, this should not affect the results.

**Options Compared**

The two test cases compare the performance of different sorting algorithms:

1. **Custom Comparison Function**: The first test case uses a custom comparison function to sort the array. This approach allows for fine-grained control over the sorting algorithm but may introduce additional overhead due to the complexity of the comparison logic.
2. **Built-in `sort()` Method with Integer Coercion**: The second test case uses the built-in `sort()` method with an integer coercion comparison function (`(a, b) => a - b`). This approach is generally faster and more efficient since it leverages the optimized implementation of the `sort()` method.

**Pros and Cons**

* **Custom Comparison Function**:
	+ Pros: Fine-grained control over sorting algorithm, potentially suitable for complex or edge cases.
	+ Cons: May introduce additional overhead due to complexity, slower performance compared to built-in implementations.
* **Built-in `sort()` Method with Integer Coercion**:
	+ Pros: Optimized implementation, generally faster and more efficient, suitable for most use cases.
	+ Cons: Less flexible control over sorting algorithm, may not be suitable for complex or edge cases.

**Other Considerations**

When designing benchmarks like this one, consider the following:

* Use representative input data to ensure meaningful results.
* Choose a reasonable sample size to avoid noise and ensure statistically significant results.
* Ensure that the benchmark is independent of external factors, such as network conditions or system resources.

As for alternatives, there are other ways to approach this kind of benchmarking:

* Use a different sorting algorithm, such as mergesort or heapsort.
* Incorporate additional data structures or operations (e.g., searching, insertion, deletion).
* Test performance under varying input sizes or distributions.

Keep in mind that the choice of alternative will depend on the specific goals and requirements of your project.

Related benchmarks:

boolean comparator (version: 0)

Comparing performance of: compare vs number coersion

Created: 3 years ago by: Guest

Jump to the latest result

compare

number coersion

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):