Benchmark: Numver.isInteger vs raw

Script Preparation code:

var float = 23.677898776;
var integer = 23;

var floor = Math.floor;
var isint = Number.isInteger; 

function one(value) {
	return isint(value);
}

function two(value) {
	return value === floor(value);
}

function three(value) {
	return value === +value.toFixed(0);
}

function four(value) {
	return value === (value ^ 0);
}

Tests:

Number.isInteger
if (one(float)) throw new Error(`float can't be an integer`); if (!one(integer)) throw new Error(`integer can't be a float`);
floor
if (two(float)) throw new Error(`float can't be an integer`); if (!two(integer)) throw new Error(`integer can't be a float`);
toFixed
if (three(float)) throw new Error(`float can't be an integer`); if (!three(integer)) throw new Error(`integer can't be a float`);
^ 0
if (four(float)) throw new Error(`float can't be an integer`); if (!four(integer)) throw new Error(`integer can't be a float`);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Number.isInteger
floor
toFixed
^ 0

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark!

The provided JSON represents a JavaScript microbenchmark that compares four different approaches for checking if a number is an integer:

1. `Number.isInteger()`
2. Using the `Math.floor()` function
3. Using the `toFixed()` method with a precision of 0
4. Using bitwise XOR (`^`) with 0

Let's break down each option:

**1. `Number.isInteger()`**

This is a built-in JavaScript function that checks if a value is an integer (i.e., its decimal part is zero). It returns a boolean value indicating whether the number is an integer.

Pros:

* Lightweight and fast, as it only requires a simple comparison
* Easy to understand and use

Cons:

* May not be as efficient as other methods for very large numbers or in performance-critical code

**2. Using `Math.floor()`**

This approach checks if the floor of a number is equal to the original value. If they are equal, it's likely that the number is an integer.

Pros:

* Can handle negative numbers and decimal points
* Often faster than using `Number.isInteger()` for very large numbers

Cons:

* May not work correctly with very small or very large integers
* Requires a function call, which can be slower than a simple comparison

**3. Using `toFixed()` with precision 0**

This approach converts the number to a string and then checks if it equals the original value (after converting back to a number). This method works by exploiting the fact that `NaN` (Not a Number) is equal to any other `NaN`.

Pros:

* Can handle negative numbers, decimal points, and NaN
* Often faster than using `Number.isInteger()` or `Math.floor()`

Cons:

* May not be as efficient for very large numbers due to the string conversion
* Requires a function call, which can be slower than a simple comparison

**4. Using bitwise XOR (`^`) with 0**

This approach uses bitwise operations to check if the number is an integer.

Pros:

* Can handle negative numbers and decimal points
* Often faster than using `Number.isInteger()` or `Math.floor()`

Cons:

* May not be as easy to understand for developers without a background in low-level programming

Now, let's analyze the test cases:

Each test case consists of two functions: `one()`, `two()`, `three()`, and `four()`. These functions take a value as input and check if it's an integer using one of the four approaches. If the result is incorrect (i.e., the number is not an integer), an error is thrown.

The test cases use different combinations of values (e.g., `float`, `integer`) to ensure that each approach works correctly for various scenarios.

Finally, let's look at the latest benchmark results:

The results show the number of executions per second (in thousands) for each browser and device platform. The fastest approach is often the one using bitwise XOR (`^`) with 0, but the results may vary depending on the specific hardware and software configuration.

In general, `Number.isInteger()` is a safe and easy-to-use option, while `Math.floor()` and `toFixed()` can be faster for very large numbers. The bitwise XOR approach is often the fastest but requires some understanding of low-level programming concepts.

As for the library used in this benchmark, it's not explicitly mentioned in the provided JSON. However, based on the function names and syntax, it appears that the test cases are using JavaScript's built-in functions and operators.

Related benchmarks:

Numver.isInteger vs raw (version: 0)

Comparing performance of: Number.isInteger vs floor vs toFixed vs ^ 0

Created: 6 years ago by: Guest

Jump to the latest result

Number.isInteger

floor

toFixed

^ 0

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):