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>

​x
 
​
<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));   
}

 
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]);
_.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]);
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

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
some
array.some

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36

Browser/OS: Chrome 116 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
some	172.6 Ops/sec
array.some	170.1 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

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:

Lodash's _some: This function takes an array (a) and a predicate (lambda function) as arguments.
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.

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: one year ago by: Guest

Jump to the latest result

some

array.some

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):