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testachunk4
(version: 0)
Comparing performance of:
1 vs 2 vs 3
Created:
5 years ago
by:
Guest
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Tests:
1
function chunkArraySlice(array, size) { let result = [] for (i = 0; i < array.length; i += size) { let chunk = array.slice(i, i + size) result.push(chunk) } return result } console.log(chunkArraySlice([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], 5));
2
function chunkArray(myArray, chunk_size){ var results = []; while (myArray.length) { results.push(myArray.splice(0, chunk_size)); } return results; } console.log(chunkArray([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], 5));
3
const chunkIt = (arr, size) => { let buckets = [] // Just create the buckets/chunks storage for (let i = 1; i <= Math.ceil(arr.length / size); i++) { buckets.push([]) } // Put in the buckets/storage by index access only for (let i = 0; i < arr.length; i++) { var arrIndex = Math.ceil((i + 1) / size) - 1 buckets[arrIndex].push(arr[i]) } return buckets; } console.log(chunkIt([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], 5));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Result
1
2
3
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**What is tested on the provided JSON?** The provided JSON represents three JavaScript microbenchmarks, each testing different approaches to chunking an array of numbers into smaller sub-arrays. **Options compared:** 1. **Array slicing**: The first two benchmark definitions use this approach, which creates a new sub-array from the original array using the `slice` method. 2. **Array splicing**: The second benchmark definition uses this approach, which modifies the original array by removing and replacing elements with another array. 3. **Bucketing**: The third benchmark definition uses a more complex approach called bucketing, where an array is divided into fixed-size chunks (buckets) using index calculation. **Pros and cons of each approach:** 1. **Array slicing**: * Pros: Simple, efficient, and easy to understand. * Cons: Creates new objects, can lead to memory fragmentation. 2. **Array splicing**: * Pros: Modifies the original array in-place, potentially more memory-efficient. * Cons: Can be slower due to the overhead of modifying an array, may cause issues with array indexing. 3. **Bucketing**: * Pros: More efficient than array slicing or splicing for large arrays, as it avoids creating new objects. * Cons: Requires index calculation, can be less intuitive, and may lead to over-allocation if not implemented carefully. **Library usage:** None of the benchmark definitions use a library, but they do demonstrate different JavaScript features, such as: * `slice` method (array slicing) * `splice` method (array splicing) **Special JS feature or syntax:** The chunking approaches rely on basic JavaScript array operations and data structures. No special features or syntax are required to understand these benchmarks. **Other alternatives:** If you need to chunk an array, consider the following alternatives: 1. **Use a library**: Libraries like `lodash` or `array-chunk` provide efficient and convenient ways to chunk arrays. 2. **Use a custom implementation with caching**: Implementing your own chunking function with caching can be more efficient than using built-in methods. In summary, the provided JSON benchmarks demonstrate three different approaches to chunking an array: array slicing, array splicing, and bucketing. Each approach has its pros and cons, and the choice of which one to use depends on the specific requirements of your application.
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