Benchmark: Spread operator vs apply - 2

Script Preparation code:

function test() { console.log(arguments[arguments.length - 1]); }
var using = (new Array(200)).fill(null).map((e, i) => (i));

Tests:

spread
[...using, ...using]
apply
test.apply(using, using)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
spread
apply

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the benchmark and its options.

**What is tested?**

The provided JSON represents a JavaScript microbenchmark that compares two ways to call a function with arbitrary arguments dynamically:

1. **Spread operator**: This approach uses the spread operator (`...`) to unpack an array of values and pass them as separate arguments to the `test` function.
2. **Apply method**: This approach uses the `apply()` method to invoke the `test` function with an array of values as its first argument, followed by the original array as subsequent arguments.

**Options comparison**

The two options are compared in terms of performance:

* Spread operator: Pros - concise and readable; Cons - potential overhead due to the creation of a new array.
* Apply method: Pros - can be more efficient for larger arrays since it avoids creating a new array; Cons - less readable and verbose.

**Library and its purpose**

In this benchmark, the `Array.prototype.map()` method is used. This method creates a new array with the results of applying a provided function to each element in the original array. In this case, the mapping function simply returns the index `i` for each element in the array, effectively creating an array of indices.

**Special JS feature or syntax**

This benchmark does not use any special JavaScript features or syntax beyond what is standard in modern JavaScript (ES6+). However, it's worth noting that the spread operator (`...`) was introduced in ES6 as a concise way to unpack arrays and objects.

**Other alternatives**

If you were to reimplement this benchmark with different approaches, some alternative options might include:

* Using `reduce()` or another aggregation method to process the array of values.
* Employing a different function composition technique, such as using `bind()` or creating a curried function.
* Utilizing a library like Lodash, which provides utility functions for working with arrays and other data structures.

Keep in mind that these alternatives would likely change the focus of the benchmark, so it's essential to choose an approach that aligns with your goals and testing objectives.

Related benchmarks:

Spread operator vs apply - 2 (version: 0)

Compare the differing ways you can call a function with arbitrary arguments dynamically

Comparing performance of: spread vs apply

Created: 5 years ago by: Guest

Jump to the latest result

spread

apply

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):