Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
ramda vs splice
(version: 0)
Comparing performance of:
ramda vs cplice
Created:
7 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.js"></script>
Script Preparation code:
array = [1,2,3,4,5,6,7,35,6,7,35,6,7,35,6,7,35,6,7,35,6,7,35,6,7,3,4,3,3,3,3,3,3] currentPosition = 17 dragPosition = 12
Tests:
ramda
R.insert(dragPosition, array[currentPosition], R.remove(currentPosition, 1, array))
cplice
const newList = R.clone(array) newList.splice(dragPosition, 0, newList.splice(currentPosition, 1)[0])
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
ramda
cplice
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/127.0.0.0 Safari/537.36
Browser/OS:
Chrome 127 on Mac OS X 10.15.7
View result in a separate tab
Embed
Embed Benchmark Result
Test name
Executions per second
ramda
845939.6 Ops/sec
cplice
282547.8 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON data and explain what's being tested, compared, and the pros/cons of each approach. **Benchmark Definition** The benchmark is comparing two JavaScript functions: one using Ramda (a functional programming library) and another using plain old JavaScript (`splice`). **Ramda Library** Ramda is a popular functional programming library for JavaScript. Its purpose is to provide a set of reusable, immutable functions that can be used to manipulate and transform data. In this benchmark, the Ramda function `R.insert(dragPosition, array[currentPosition], R.remove(currentPosition, 1, array))` is being tested. This function is inserting an element at a specific position in the array while removing another element from the same position. **Plain JavaScript (`splice`) Approach** The plain JavaScript approach uses the `splice()` method to achieve the same result: ```javascript const newList = [...array]; newList.splice(dragPosition, 0, newList.splice(currentPosition, 1)[0]); ``` This approach is using array destructuring and spread operators to create a new array (`newList`) by splicing elements at specific positions. **Pros and Cons** Here are some pros and cons of each approach: **Ramda Approach:** Pros: * More concise and expressive code * Immutable data structures, which can lead to better performance and thread safety * Easier to debug and test due to its functional programming nature Cons: * Additional dependency on the Ramda library * May be slower due to the overhead of creating a new array and using immutable functions **Plain JavaScript (`splice`) Approach:** Pros: * No additional dependencies or libraries needed * Fast and efficient since it directly manipulates the array in place Cons: * More verbose code, which can make it harder to read and maintain * Mutable data structures, which can lead to performance issues if not used carefully * Can be slower due to the overhead of copying arrays and using mutable functions **Other Considerations** When choosing between these two approaches, consider the following factors: * Performance: If you need optimal performance, the plain JavaScript (`splice`) approach might be a better choice. However, if you prioritize code conciseness and expressiveness, Ramda's approach might be more suitable. * Readability and maintainability: The Ramda approach is often easier to read and understand due to its functional programming nature. The plain JavaScript (`splice`) approach can be more verbose and harder to follow. **Alternatives** If you're interested in exploring alternative approaches or libraries, here are a few options: * Lodash: Another popular JavaScript library that provides a set of reusable functions for tasks like array manipulation. * Immutable.js: A library specifically designed for working with immutable data structures and computations. * Built-in JavaScript methods (e.g., `Array.prototype.map()`, `Array.prototype.filter()`): These can often be used to achieve similar results as Ramda's approach, but may not be as concise or expressive. In summary, the benchmark is comparing two approaches to achieving a specific result: inserting an element into an array while removing another element from the same position. The choice between Ramda and plain JavaScript (`splice`) depends on performance requirements, code readability/maintainability priorities, and the desired level of conciseness expressiveness.
Related benchmarks:
splice vs spread operator for adding elements into very large 2D arrays
splice vs shift 3
Splice vs Assignation
Splice vs Shift perf
Empty array: Splice vs Shift
Comments
Confirm delete:
Do you really want to delete benchmark?