Benchmark: lodash _.some vs Array.some

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.20/lodash.min.js'></script>

Script Preparation code:

function makeid(length) {
   var result           = '';
   var characters       = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789';
   var charactersLength = characters.length;
   for ( var i = 0; i < length; i++ ) {
      result += characters.charAt(Math.floor(Math.random() * charactersLength));
   }
   return result;
}

var a = [];

for (let i=0; i<1000000; i++){
     a.push(makeid(15));   
}

Tests:

some
_.some(a, x=>x===a[23424]); _.some(a, x=>x===a[0]); _.some(a, x=>x===a[99999]);
array.some
a.some(x => x=== a[23424]); a.some(x=>x===a[0]); a.some(x=>x===a[99999]);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
some
array.some

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.

**Overview of the Benchmark**

The provided JSON represents a JavaScript microbenchmark created on MeasureThat.net. The benchmark compares the performance of two approaches: Lodash's `_some` function and the native `Array.some` method.

**What is tested?**

The benchmark tests how quickly each approach iterates over an array (`a`) and checks if a condition is met for each element using lambda functions (anonymous functions).

In the case of Lodash's `_some`, the lambda function takes two arguments: `x` (the current element being processed) and `a[23424]`. The condition to check is whether `x` equals `a[23424]`.

For the native `Array.some`, the lambda function checks if each element `x` in the array `a` is equal to either `a[0]` or `a[99999]`. Note that this approach uses two different values for equality, which might be considered unusual.

**Options compared**

The benchmark compares the following options:

1. **Lodash's `_some`**: This function takes an array (`a`) and a predicate (lambda function) as arguments.
2. **Native `Array.some`**: This method iterates over an array (`a`) and applies a lambda function to each element, checking if it returns `true`.

**Pros and Cons**

**Lodash's `_some`:**

Pros:

* More concise syntax
* Can be more readable for complex predicates

Cons:

* May incur a performance overhead due to the additional function call and execution context creation.
* Not available in all environments (e.g., older browsers or Node.js versions).

**Native `Array.some`:**

Pros:

* Faster execution, as it only requires a single array iteration and lambda function evaluation.
* Available in most modern browsers and Node.js versions.

Cons:

* May be less readable for complex predicates due to the use of lambda functions.
* Requires manual handling of conditions (in this case, using two different values).

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides various functional programming helpers. In this benchmark, Lodash's `_some` function is used as a native implementation for iterating over arrays and checking conditions.

**Special JS feature or syntax**

The use of lambda functions (anonymous functions) in the `Array.some` method is not special to this benchmark. Lambda functions are a common way to define small, single-purpose functions in JavaScript.

Overall, the benchmark highlights the trade-offs between using Lodash's `_some` and the native `Array.some` method when it comes to iterating over arrays and checking conditions.

Related benchmarks:

lodash _.some vs Array.some (version: 0)

lodash vs Array some

Comparing performance of: some vs array.some

Created: 2 years ago by: Guest

Jump to the latest result

some

array.some

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):