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imperative-prop-selector3
(version: 1)
Comparing performance of:
Imperative path vs Ramda path
Created:
7 years ago
by:
Registered User
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HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.26.1/ramda.min.js"></script>
Script Preparation code:
var mock = { name: 'José Manuel', surname: 'Lucas', organization: { id: 11, selfcare: { id: 12355, customization: { colors: { foreground: '#fff', background: { primary: '#ff0000', } } } } }, }; const getName = ({ name }) => name; const getOrganization = obj => obj && obj.organization; const getSelfcare = (obj) => { const a = getOrganization(obj); return a && a.selfcare; }; const getCustomization = (obj) => { const a = getSelfcare(obj); return a && a.customization; }; const getColors = (obj) => { const a = getCustomization(obj); return a && a.colors; }; var imperativePath = (obj) => { const a = getColors(obj); return a && a.foreground; }; const prop = R.prop; var ramdaPath = function(obj) { return prop( 'foreground', prop( 'colors', prop( 'customization', prop( 'selfcare', prop( 'organization', obj, ), ), ), ), ); } // Ensuring that all functions work properly if (ramdaPath(mock) !== '#fff') { throw new Error('Invalid ramda path'); } if (imperativePath(mock) !== '#fff') { throw new Error('Invalid imperative path'); }
Tests:
Imperative path
imperativePath(mock);
Ramda path
ramdaPath(mock);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Imperative path
Ramda path
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down what's being tested in this benchmark. **Benchmark Overview** The benchmark compares the performance of two approaches to access nested properties in an object: Imperative Path and Ramda Path. **Imperative Path** Imperative Path uses a series of chained functions to access the `foreground` property. The chain is as follows: 1. `getColors(obj)` returns the `colors` object. 2. `getCustomization(a)` returns the `customization` object. 3. `getSelfcare(b)` returns the `selfcare` object. 4. `getOrganization(c)` returns the `organization` object. 5. `imperativePath(obj)` finally returns the `foreground` property. This approach is simple and easy to read, but it may lead to slower performance due to the overhead of function calls. **Ramda Path** Ramda Path uses a more functional programming style to access the same nested properties. The chain is as follows: 1. `prop('organization', obj)` returns the `organization` object. 2. `prop('selfcare', a)` returns the `selfcare` object. 3. `prop('customization', b)` returns the `customization` object. 4. `prop('colors', c)` returns the `colors` object. 5. `prop('foreground', d)` finally returns the `foreground` property. This approach is often faster and more efficient because it avoids function calls and uses a single, optimized path through the Ramda library. **Pros and Cons** * Imperative Path: + Pros: Easy to read and understand. + Cons: May lead to slower performance due to function calls. * Ramda Path: + Pros: Often faster and more efficient due to optimization by Ramda. + Cons: Can be less intuitive for developers without experience with functional programming. **Library** The benchmark uses the Ramda library, which is a functional programming library for JavaScript. It provides a series of optimized functions for common operations like array manipulation, data transformation, and path resolution. In this case, `prop` is used to access nested properties in an object. **Special JS Feature or Syntax** There are no special JavaScript features or syntaxes being used in this benchmark beyond the use of functional programming with Ramda. **Other Alternatives** Other alternatives for accessing nested properties could include: * Using a library like Lodash, which provides similar functionality to Ramda. * Implementing your own path resolution function from scratch. * Using a more imperative approach, such as using a recursive function or a loop. However, these alternatives may not be optimized for performance and might lead to slower results compared to the Ramda Path used in this benchmark.
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