Benchmark: spread vs ramda filter

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.js"></script>

Script Preparation code:

var params = { a: 1, b: 2 };

Tests:

spread true
const x = true var result = [ ...(x ? [{a: 3, b: 4}] : []), { a: params.a, b: params.b } ]
ramda filter true
const x = true var result = [ x ? {a: 3, b: 4} : null, { a: params.a, b: params.b } ] result.filter(R.identity)
spread false
const x = false var result = [ ...(x ? [{a: 3, b: 4}] : []), { a: params.a, b: params.b } ]
ramda filter false
const x = false var result = [ x ? {a: 3, b: 4} : null, { a: params.a, b: params.b } ] result.filter(R.identity)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
spread true
ramda filter true
spread false
ramda filter false

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

I'll provide an explanation of the provided benchmark, its options, pros and cons, library usage, special JavaScript features, and alternatives.

**Benchmark Overview**

The benchmark measures the performance difference between using the spread operator (`...`) versus Ramda's `filter()` function to process a specific test case. The test case involves creating an array with optional elements based on a boolean value `x`, and then filtering out elements that match a certain condition.

**Options Compared**

There are two main options being compared:

1. **Spread Operator (`...`)**: This method uses the spread operator to create a new array by iterating over the elements of another array (in this case, an object) using the optional chaining operator (`?.`). If `x` is true, it adds an element to the resulting array; otherwise, it creates an empty array.
2. **Ramda's `filter()` function**: This method uses Ramda's `filter()` function to filter out elements that match a certain condition (in this case, `R.identity`, which checks if an object has no properties). If `x` is true, it adds an element to the filtered array; otherwise, it returns an empty array.

**Pros and Cons**

**Spread Operator (`...`) Pros:**

* Lightweight and efficient
* Easy to read and write

**Spread Operator (`...`) Cons:**

* May not be as flexible or powerful as Ramda's `filter()` function
* Limited support for more complex filtering logic

**Ramda's `filter()` function Pros:**

* More flexible and powerful than the spread operator
* Can handle more complex filtering logic using Ramda's functional programming utilities

**Ramda's `filter()` function Cons:**

* Larger binary size (due to Ramda library inclusion)
* May require additional setup or learning for users unfamiliar with Ramda

**Library Usage**

The benchmark uses Ramda, a popular JavaScript library for functional programming. The `R.identity` utility is used as the filtering condition.

**Special JavaScript Features**

None mentioned in the provided code snippet.

**Alternatives**

If you're interested in exploring alternative approaches, here are some options:

* Using a custom implementation of the spread operator or Ramda's `filter()` function
* Utilizing other JavaScript libraries or frameworks that provide similar functionality (e.g., Lodash)
* Implementing a hybrid approach that combines elements of both methods

Keep in mind that the performance differences between these alternatives may vary depending on specific use cases and requirements.

Related benchmarks:

spread vs ramda filter (version: 0)

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.js"></script>

Comparing performance of: spread true vs ramda filter true vs spread false vs ramda filter false

Created: 7 years ago by: Guest

Jump to the latest result

spread true

ramda filter true

spread false

ramda filter false

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):