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SPlICE + UNSHIFT vs SORT ( 100 items )
(version: 0)
Comparing performance of:
SPLICE + UNSHIFT: array 100 items; itemIndex - 100 vs SORT: array 100 items; itemIndex - 100
Created:
3 years ago
by:
Registered User
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Script Preparation code:
var arr = [...Array(100)].map((_,i) => i)
Tests:
SPLICE + UNSHIFT: array 100 items; itemIndex - 100
let newArr = [...arr] const item = 99 const itemIndex = newArr.findIndex((x) => x === item) console.log('SPLICE + UNSHIFT [0] before', newArr[0]) console.log('SPLICE + UNSHIFT length before', newArr.length) newArr.splice(itemIndex, 1) newArr.unshift(item) console.log('SPLICE + UNSHIFT [0] after', newArr[0]) console.log('SPLICE + UNSHIFT length after', newArr.length)
SORT: array 100 items; itemIndex - 100
let newArr = [...arr] const item = 99 const itemIndex = newArr.findIndex((x) => x === item) console.log('SORT [0] before', newArr[0]) console.log('SORT length before', newArr.length) newArr = newArr.sort((a, b) => { if (a === item) { return -1 } if (b === item) { return 1 } return 0 }) console.log('SORT [0] after', newArr[0]) console.log('SORT length after', newArr.length)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Test case name
Result
SPLICE + UNSHIFT: array 100 items; itemIndex - 100
SORT: array 100 items; itemIndex - 100
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the provided benchmark and explain what's being tested. **Benchmark Overview** The benchmark measures the performance difference between two approaches: using `splice` with `unshift` to insert an item at a specific index in an array, versus sorting the entire array and then finding the desired index. This test is designed to evaluate the efficiency of these methods for searching and inserting items into large arrays. **Options Compared** Two options are compared: 1. **SPLICE + UNSHIFT**: This approach involves: * Creating a copy of the original array using the spread operator (`[...Array(100)].map((_,i) => i)`). * Finding the index of the desired item in the new array using `findIndex`. * Removing the item at the found index using `splice`. * Inserting the desired item at the beginning of the array using `unshift`. 2. **SORT**: This approach involves: * Creating a copy of the original array using the spread operator (`[...Array(100)].map((_,i) => i)`). * Sorting the entire array in ascending order using `sort`, which rearranges the elements so that they are in order. * Finding the index of the desired item after sorting. **Pros and Cons** Here's a brief summary of the pros and cons of each approach: 1. **SPLICE + UNSHIFT**: * Pros: More efficient for small to medium-sized arrays, as it only requires updating a few elements. * Cons: May be slower for very large arrays due to the `splice` operation, which can be expensive in terms of memory allocation and copying data. 2. **SORT**: * Pros: Suitable for large arrays, as it sorts the entire array at once and then allows for efficient searching. * Cons: Requires more memory and processing power, especially for larger arrays. **Library and Special JS Feature** In this benchmark, no specific JavaScript library is used beyond the standard `Array` and `String` types. However, some special features are present: 1. **Spread Operator (`[...Array(100)].map((_,i) => i)`)**: This is a feature of modern JavaScript that allows for efficient array creation using the spread operator. 2. **Arrow Functions**: The `sort` method uses arrow functions (e.g., `(a, b) => { ... }`) to define the comparison function. **Other Alternatives** Some alternative approaches could be considered: 1. **Binary Search**: Instead of finding the index using `findIndex`, a binary search algorithm could be used to find the desired item more efficiently. 2. **Hash Table**: If the array is large and sorted, a hash table data structure could be used to store the elements and allow for fast searching. However, these alternatives are not included in this specific benchmark, which focuses on comparing `splice` with `unshift` versus sorting the entire array.
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