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lodash omit vs spread omit using babel
(version: 0)
Comparing performance of:
lodash omit vs spread as compiled by babel
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Tests:
lodash omit
const a = { aa: 'oh', bb: 'my' }; const b = _.omit(a, 'aa');
spread as compiled by babel
function _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; } function _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; } var a = { aa: 'oh', bb: 'my' }; var aa = a.aa, b = _objectWithoutProperties(a, ["aa"]);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Result
lodash omit
spread as compiled by babel
Fastest:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON data to understand what's being tested. **Benchmark Definition** The benchmark measures the performance of two approaches: 1. **Lodash `omit`**: This test case uses Lodash, a popular JavaScript utility library, to omit specific keys from an object. The test creates an object `a` with two properties: `aa` and `bb`. It then calls `_omit` function on this object, passing `'aa'` as the excluded key. 2. **Spread operator (compiled by Babel)**: This test case uses the spread operator (`{...}`) to create a new object that excludes specific keys from the original object `a`. **Options Compared** The two options being compared are: 1. **Lodash `omit`**: A library-based approach that uses Lodash's implementation of the `omit` function. 2. **Spread operator (compiled by Babel)**: A native JavaScript approach that uses the spread operator to create a new object with omitted keys. **Pros and Cons** **Lodash `omit`** Pros: * Well-tested and optimized implementation of the `omit` function * May be faster for large objects due to caching and memoization Cons: * Adds an extra dependency on Lodash, which may not be desirable for all projects * May have a higher memory footprint due to the additional library overhead **Spread operator (compiled by Babel)** Pros: * Native JavaScript implementation with minimal dependencies * No additional library overhead * Often faster and more efficient than library-based approaches Cons: * May require additional configuration or compilation steps for optimal performance * Can be less readable or maintainable due to its concise syntax **Library: Lodash** Lodash is a popular JavaScript utility library that provides a wide range of functions, including `omit`, `map`, `filter`, and many others. Its implementation is highly optimized and tested, making it a reliable choice for many use cases. **Special JS Feature/Syntax: None mentioned** There are no special JavaScript features or syntax being used in these test cases. **Other Alternatives** For the `omit` function, other alternatives include: * Using a custom implementation in JavaScript * Using a different library (e.g., Underscore.js) * Using a functional programming approach with higher-order functions For the spread operator, other alternatives include: * Using a different syntax (e.g., `Object.assign()` or `Array.prototype.slice()`) * Compiling the spread operator to a native JavaScript implementation using tools like Babel * Using a library-based approach (e.g., Lodash's `omit` function) In general, the choice of approach depends on the specific use case, performance requirements, and personal preference.
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