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lodash-chunk-vs-custom-chunk
(version: 0)
Comparing performance of:
Custom Chunk vs lodash chunk
Created:
2 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>
Script Preparation code:
var test = new Array(100000).fill(null).map(() => Math.random()); function chunk(data, size) { const chunks = []; const numChunks = Math.floor(data / size); for (let i = 0; i <= numChunks; i++) { const start = i * size; chunks.push(data.slice(start, size)); } return chunks; }
Tests:
Custom Chunk
chunk(test,5000)
lodash chunk
_.chunk(test,5000)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Custom Chunk
lodash chunk
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Explanation** The provided benchmark measures the performance difference between two approaches to chunking an array of random numbers. **Options Compared:** 1. **Custom Chunk**: This approach is implemented in JavaScript, where the `chunk` function manually calculates the number of chunks and creates them using `Array.prototype.slice`. 2. **Lodash Chunk**: This approach uses the `_.chunk` function from the Lodash library, which is a popular utility library for JavaScript. **Pros and Cons:** * **Custom Chunk**: + Pros: - Provides full control over the chunking process. - Can be optimized for specific use cases. + Cons: - Requires manual implementation, which can lead to errors or inefficient code. - May not be as efficient as using a dedicated library like Lodash. * **Lodash Chunk**: + Pros: - Uses an optimized and tested algorithm. - Reduces the risk of coding errors or performance issues. + Cons: - Requires including an additional library (Lodash) in the test code. - May not be as customizable as a custom implementation. **Library: Lodash** Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, string formatting, and more. The `_.chunk` function specifically chunking an array into equal-sized chunks. In this benchmark, the `_.chunk` function from Lodash is used to compare its performance with a custom implementation. **No Special JavaScript Features or Syntax** There are no special JavaScript features or syntax used in this benchmark that would require additional explanation. The code only uses standard JavaScript concepts and libraries like Lodash. **Alternative Approaches:** Other approaches for chunking an array could include: 1. **Array.prototype.slice**: This is a built-in method for splitting an array into chunks of a specified size. 2. **Map-based approach**: Using a Map data structure to store the chunked elements, which can be more efficient than Array.prototype.slice. 3. **Library-specific solutions**: Other libraries like Ramda or jQuery might provide their own chunking functions that could be used in place of Lodash. However, these alternatives are not included in the provided benchmark code and would require separate implementation and testing.
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