Benchmark: converting arguments to Array

Script Preparation code:

function runLoop(fn) {
  for (let i = 1000; i--; ) {
    fn("bacon", "egg", "spam");
  }
}

Tests:

baseline (main)
function makeArray() { return Array.prototype.slice.call(arguments); } runLoop(makeArray);
current (PR)
function makeArray() { var _args; return (_args = []).push.apply(_args, arguments), _args; } runLoop(makeArray);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
baseline (main)
current (PR)

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko

Browser/OS: IE 11 on Windows

View result in a separate tab

current (PR)

2K/s

baseline (main)

2K/s

View exact numbers

Test name	Executions per second
✓ current (PR)	1,786 Ops/sec
baseline (main)	1,705 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll break down the explanation for you.

**Benchmark Definition**

The provided JSON represents a benchmark test on MeasurThat.net, which compares two different approaches to convert arguments to an array in JavaScript.

In this specific benchmark, we have:

1. `[] .slice.call(arguments)`: This approach uses the `slice()` method of the Array prototype, which returns a shallow copy of a portion of the original array. The arguments are passed as an array, and `slice()` is used to extract them.
2. `[] .push.apply(arguments)`: This approach uses the `push()` method of the Array prototype and applies it to all elements in the array using `apply()`. The result is an array with the same elements.

**Options Comparison**

The two approaches have different performance characteristics:

* **`slice.call(arguments)`**: This method has a relatively low overhead, as it only requires a single function call and returns a new array. However, it can be slower for large input arrays due to the creation of a new array object.
* **`.push.apply(arguments)`**: This approach is generally faster than `slice.call()` because it uses a more optimized implementation of the `push()` method, which only requires a single iteration over the arguments.

**Pros and Cons**

Here's a brief summary:

* **`slice.call(arguments)`**:
	+ Pros: Low overhead, easy to read.
	+ Cons: Can be slower for large input arrays due to array object creation.
* **`.push.apply(arguments)`**:
	+ Pros: Generally faster, optimized implementation of `push()` method.
	+ Cons: May have higher overhead due to function call and array iterator.

**Other Considerations**

In modern JavaScript, both approaches are relatively fast and efficient. However, if you're working with large input arrays, the performance difference between these two methods might be noticeable. Additionally, some libraries or frameworks might optimize one approach over the other, so it's essential to consider the specific use case and requirements.

**Library Usage**

There is no explicit library mentioned in the provided benchmark definition. However, if you're familiar with popular JavaScript libraries, you might recognize `Array.prototype.slice.call()` as a polyfill for older browsers or environments where `slice()` is not supported natively.

**Special JS Features or Syntax**

The test doesn't use any special features or syntax that would require additional explanation. The focus is on comparing two standard Array methods.

I hope this explanation helps you understand the benchmark and its results better!

converting arguments to Array (version: 0)

[].slice.call versus [].push.apply

Comparing performance of: `baseline (main) vs current (PR)`

Created: 4 years ago by: Guest

Go to the latest result

baseline (main)

current (PR)

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

converting arguments to Array (version: 0)

[].slice.call versus [].push.apply

Comparing performance of: baseline (main) vs current (PR)

Created: 4 years ago by: Guest

Go to the latest result

baseline (main)

current (PR)

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

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Comparing performance of: `baseline (main) vs current (PR)`