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custom diff VS sort join
(version: 0)
Comparing performance of:
getDiffArrays vs Sort Join
Created:
5 years ago
by:
Guest
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Tests:
getDiffArrays
const arr1 = new Array(1000).fill(null).map(n => Math.random().toFixed(2)); const arr2 = new Array(1000).fill(null).map(n => Math.random().toFixed(2)); const getDiffArrays = ( arrA, arrB, ) => { const { diffA, diffB } = arrA.reduce( (acc, a) => { const index = acc.diffB.indexOf(a); if (index === -1) { acc.diffA.push(a); } else { acc.diffB.splice(index, 1); } return acc; }, { diffA: [], diffB: [...arrB] }, ); return { all: diffA.concat(diffB), diffA, diffB }; }; for(let i = 0; i < 1000; i++) { getDiffArrays(arr1, arr2); }
Sort Join
const arr1 = new Array(1000).fill(null).map(n => Math.random().toFixed(2)); const arr2 = new Array(1000).fill(null).map(n => Math.random().toFixed(2)); const getDiffSortJoin = ( arrA, arrB, ) => { const a = arrA.sort((a, b) => a - b).join(); const b = arrB.sort((a, b) => a - b).join(); return a !== b; }; for(let i = 0; i < 1000; i++) { getDiffSortJoin(arr1, arr2); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Test case name
Result
getDiffArrays
Sort Join
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring the performance of JavaScript benchmarks can be a complex task, as it involves understanding various aspects of the language and its ecosystem. **Benchmark Definition** The provided benchmark definition is quite generic and doesn't specify what exactly is being measured. However, based on the individual test cases, we can infer that the benchmarks are comparing two approaches: 1. **getDiffArrays**: This function takes two arrays as input and returns an object with three properties: `all`, `diffA`, and `diffB`. The purpose of this function is to find the difference between the two input arrays. 2. **Sort Join**: This function takes two arrays as input, sorts them, joins them into strings using the `join` method, and returns a boolean indicating whether the resulting strings are equal. **Options Compared** The benchmark compares the performance of these two approaches: * **getDiffArrays**: Uses an array reduction approach to find the difference between the two input arrays. * **Sort Join**: Uses sorting and joining the arrays into strings as a way to compare them. **Pros and Cons** Here's a brief overview of the pros and cons of each approach: * **getDiffArrays**: * Pros: * More efficient for large datasets, as it avoids creating new arrays. * Allows for more flexibility in terms of comparing different types of data (e.g., objects, strings). * Cons: * Can be more complex to understand and implement, especially for those without experience with array reduction. * **Sort Join**: * Pros: * Easy to understand and implement, even for developers without prior experience with advanced JavaScript techniques. * Works well for small to medium-sized datasets. * Cons: * Inefficient for large datasets, as sorting and joining can be computationally expensive. **Library Usage** There are no explicit libraries mentioned in the benchmark definition or individual test cases. However, if you're interested in exploring alternative approaches that utilize specific JavaScript libraries, some popular options include: * **Lodash**: Provides a range of utility functions, including those for array manipulation and comparison. * **Underscore.js**: Offers a set of functional programming helpers, including those for working with arrays. **Special JS Features or Syntax** The benchmark doesn't explicitly use any special JavaScript features or syntax. However, if you're interested in exploring alternative approaches that utilize specific ES6+ features, some examples include: * **Arrow functions**: Used in both `getDiffArrays` and `Sort Join` for conciseness. * **Template literals**: Used in the `join` method of `getDiffArrays`. * **Array methods**: Such as `map`, `reduce`, and `sort` are used throughout the benchmark. **Alternatives** If you're interested in exploring alternative approaches or libraries, here are some options to consider: * **Google Closure Compiler**: A powerful tool for optimizing JavaScript code. * **JSHint**: A popular linter that can help identify potential errors and improve code quality. * **Benchmarking frameworks**: Such as ` benchmark.js` or `jsperf`, which provide a structured way to measure performance.
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