Benchmark: custom isNaN - MeasureThat.net

Script Preparation code:

var arr = []
for (var i = 0; i < 1000000; i++) {
    arr.push(i);
}

Tests:

isNaN
arr.forEach(i => typeof i === 'number' && !isNaN(i))
custom isNaN
arr.forEach(i => { const isNaN = !(i <= 0) && !(i > 0); if (typeof i === 'number' && !isNaN) {} })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
isNaN
custom isNaN

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.

Let's break down the provided benchmark and explain what's being tested, compared, and considered.

**Benchmark Definition JSON**

The provided benchmark definition is used to create a JavaScript microbenchmark. It contains information about the benchmark itself, including:

* `Name`: The name of the benchmark.
* `Description`: A brief description of the benchmark (empty in this case).
* `Script Preparation Code`: A piece of code that prepares the environment for running the benchmark. In this case, it creates an array with 1 million elements.
* `Html Preparation Code`: An empty string, indicating no additional HTML preparation is needed.

**Individual Test Cases**

The benchmark has two test cases:

1. `isNaN`
	* The benchmark definition: `arr.forEach(i => typeof i === 'number' && !isNaN(i))`.
	* This test case checks if the `isNaN()` function works correctly for a specific use case.
2. `custom isNaN`
	* The benchmark definition: `arr.forEach(i => {\r\n\tconst isNaN = !(i <= 0) && !(i > 0);\r\n  if (typeof i === 'number' && !isNaN) {}\r\n})`.
	* This test case checks a custom implementation of the `isNaN()` function, which uses a different logic.

**What's Being Compared**

The two test cases are compared in terms of their performance. The benchmark measures how many executions per second each test case can handle.

**Options Compared**

There are two main options being compared:

1. **Native `isNaN()` Function**: This is the built-in JavaScript function for checking if a value is NaN (Not a Number).
2. **Custom `isNaN()` Implementation**: This is a custom implementation of the `isNaN()` function, which uses a different logic to determine if a value is NaN.

**Pros and Cons**

**Native `isNaN()` Function**:

Pros:

* Faster execution speed due to being a built-in function.
* Fewer lines of code, making it easier to maintain and test.

Cons:

* May not handle all edge cases correctly (e.g., NaN values in certain arithmetic operations).

**Custom `isNaN()` Implementation**:

Pros:

* More flexible and can handle specific use cases or edge cases that the native implementation may not cover.
* Can be more efficient in certain scenarios, as it avoids a function call.

Cons:

* Slower execution speed compared to the native implementation.
* Requires more code and maintenance effort.

**Other Considerations**

In addition to the performance differences between the two implementations, there are other considerations:

* **Code readability**: The custom implementation is more verbose and may be harder to read than the native implementation.
* **Testability**: The custom implementation can make testing more challenging due to its unique logic.
* **Browser support**: Both implementations should work in most modern browsers. However, the custom implementation may require additional testing to ensure compatibility.

**Library Used**

In this benchmark, no libraries are explicitly used. However, JavaScript engines and browsers often include internal libraries or frameworks that can impact performance, such as just-in-time (JIT) compilation or garbage collection algorithms.

If you'd like me to explain any specific feature or syntax in the custom implementation, feel free to ask!

Related benchmarks:

custom isNaN (version: 0)

Comparing performance of: isNaN vs custom isNaN

Created: 3 years ago by: Guest

Jump to the latest result

isNaN

custom isNaN

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):