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Ramda vs Javascript mergeDeepRight #3
(version: 3)
Comparing performance of:
Ramda vs Javascript
Created:
3 years ago
by:
Registered User
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/ramda/0.28.0/ramda.min.js'></script>
Tests:
Ramda
const object1 = { name: 'fred', age: 10, contact: { email: 'moo@example.com', phone:'777' }} const object2 = { age: 40, contact: { email: 'baa@example.com' }} const result = R.mergeDeepRight(object1, object2); console.log(result)
Javascript
const object1 = { name: 'fred', age: 10, contact: { email: 'moo@example.com', phone:'777' }} const object2 = { age: 40, contact: { email: 'baa@example.com' }} function merge(a = {},b ={}) { return Object.entries(b).reduce((o, [k, v]) => { o[k] = v && typeof v === 'object' ? merge(o[k] = o[k] || (Array.isArray(v) ? [] : {}), v) : v; return o; }, a); } const result = merge(object1, object2) console.log(result)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Ramda
Javascript
Fastest:
N/A
Slowest:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of MeasureThat.net and analyze the provided benchmark. **Benchmark Overview** The benchmark tests two approaches to merging objects: Ramda's `mergeDeepRight` function and a custom JavaScript implementation using the `Object.entries()` method and recursion. The test creates two sample objects, `object1` and `object2`, and merges them using each approach. **Test Cases** There are two test cases: 1. **Ramda**: This test case uses Ramda's `mergeDeepRight` function to merge `object1` and `object2`. The benchmark script includes the Ramda library as a dependency. 2. **Javascript**: This test case implements a custom JavaScript merge function using `Object.entries()` and recursion. It does not use any external libraries. **Options Compared** The two approaches being compared are: * **Ramda's `mergeDeepRight` function**: A pre-built, optimized function for merging objects recursively, taking care of nested objects. * **Custom JavaScript implementation**: A simple, recursive implementation using `Object.entries()` and basic object manipulation. **Pros and Cons** **Ramda's `mergeDeepRight` function:** Pros: * Optimized for performance and readability * Handles complex object merges with ease * Part of the Ramda library, which is widely used and well-maintained Cons: * Requires an additional external dependency (the Ramda library) * May have a larger memory footprint due to the library's overhead **Custom JavaScript implementation:** Pros: * Lightweight and simple * Does not require any external dependencies * Can be optimized further for performance Cons: * More complex and error-prone due to manual handling of object merging * May not handle all edge cases or complex scenarios correctly **Library and Purpose** The Ramda library is a functional programming utility library that provides a wide range of useful functions, including `mergeDeepRight`. It's designed to help developers write concise, readable, and efficient code. In this benchmark, Ramda's `mergeDeepRight` function is used to perform the object merge. The custom JavaScript implementation uses `Object.entries()` and recursion to achieve similar results. **Special JS Feature or Syntax** There are no special features or syntax used in this benchmark. However, it's worth noting that MeasureThat.net often includes tests for newer JavaScript features and syntax, such as async/await, Promises, or modernized Array methods (e.g., `map()`, `filter()`). **Alternatives** If you're interested in exploring alternative approaches to merging objects, here are a few options: * **Lodash**: Another popular utility library that includes a `mergeDeep` function for merging objects recursively. * **Object.assign()**: A built-in JavaScript method for merging objects. However, it's limited to shallow merges and doesn't handle nested objects as well as the Ramda implementation or the custom JavaScript code. * **Recursive functions with `for...in` loops**: Another way to implement object merging using recursion and basic looping constructs. Keep in mind that each approach has its strengths and weaknesses, and the choice ultimately depends on your specific use case, performance requirements, and personal preference.
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