Benchmark: asdsadasdasdasda

Script Preparation code:

window.bool1 = Math.random() >= 0.5;
window.bool2 = Math.random() >= 0.5;
window.bool3 = Math.random() >= 0.5;

Tests:

sum
var result = 0 + !bool1 + !bool2 + !bool3
array
var result = [bool1,bool2,bool3].filter(e=>e).length

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
sum
array

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 what's being tested in the provided JSON.

**Benchmark Definition**

The benchmark definition is an object that contains the code for each individual test case. There are two test cases:

1. "sum": This test case checks the performance of the `!=` operator when used with booleans.
2. "array": This test case checks the performance of filtering an array using the `.filter()` method.

**Script Preparation Code**

The script preparation code is a JavaScript snippet that sets up variables before running each test case. In this case, three random boolean values are assigned to `window.bool1`, `window.bool2`, and `window.bool3`.

**Html Preparation Code**

There is no HTML preparation code provided, which means that the benchmark does not involve any DOM-related operations.

**Options Compared**

The two test cases compare the performance of different approaches:

1. "sum": This test case checks the performance of a simple arithmetic expression using the `!=` operator.
2. "array": This test case checks the performance of filtering an array using the `.filter()` method.

**Pros and Cons**

Here are some pros and cons of each approach:

1. "sum":
	* Pros:
		+ Simple and easy to understand.
		+ Fast execution since it's a simple arithmetic expression.
	* Cons:
		+ May not accurately represent real-world scenarios where booleans are used in more complex expressions.
2. "array":
	* Pros:
		+ More representative of how booleans are used in real-world code (e.g., array filtering, conditional statements).
	* Cons:
		+ May be slower due to the overhead of creating and filtering an array.

**Other Considerations**

When choosing between these two approaches, consider the following:

* If you're looking for a simple, fast benchmark that focuses on the `!=` operator, "sum" might be a better choice.
* If you want a more representative benchmark that simulates real-world scenarios where booleans are used in arrays or conditional statements, "array" is a better option.

**Special JS Features/Syntax**

There are no special JavaScript features or syntax mentioned in the provided JSON. However, it's worth noting that some older browsers may not support the `const` keyword (used to declare variables without reassignment) or the `let` and `const` keywords for variable declarations.

If you wanted to add additional test cases or modify these existing ones, consider exploring other JavaScript features like closures, prototypes, or more complex array methods (e.g., `map()`, `reduce()`).

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:68.0) Gecko/20100101 Firefox/68.0

Browser/OS: Firefox 68 on Mac OS X 10.14

View result in a separate tab

Test name	Executions per second
sum	91065736.0 Ops/sec
array	32497968.0 Ops/sec

Related benchmarks:

asdsadasdasdasda (version: 0)

Test on isEqual performance

Comparing performance of: sum vs array

Created: 4 years ago by: Guest

Jump to the latest result

sum

array

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):