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Lodash min vs Math.min findinex
(version: 0)
Comparing performance of:
_.min vs Math.min vs findIndex
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.7.11/lodash.min.js'></script>
Script Preparation code:
function getRandomInt(max) { return Math.floor(Math.random() * Math.floor(max)); } var arr = []; var min = 80; for(var i = 0; i < 1000; i++){ arr.push({value:getRandomInt(100)}); }
Tests:
_.min
_.min(arr);
Math.min
Math.min(...arr)
findIndex
arr.findIndex((v) => v < min)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
_.min
Math.min
findIndex
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON benchmark definition and its test cases. **Benchmark Definition** The benchmark is to compare the performance of three functions: 1. `_.min(arr)` from Lodash library 2. `Math.min(...arr)` (using the spread operator) 3. `arr.findIndex((v) => v < min)` (which finds the index of the smallest value in the array) These functions are designed to find the minimum value in an array. **Options Compared** The three options are compared for their execution speed, which is measured by the number of executions per second. **Pros and Cons** 1. `_.min(arr)`: This function uses a library (Lodash), which adds overhead due to the library's initialization and maintenance costs. However, Lodash provides a simple and concise way to perform common array operations. 2. `Math.min(...arr)`: This function is part of the JavaScript standard library and does not require any additional libraries or setup. It uses the spread operator (`...`) to pass an array of values to the `min` function. The use of the spread operator can be slower than a simple array iteration, but it's still quite efficient. 3. `arr.findIndex((v) => v < min)` : This function finds the index of the smallest value in the array using a callback function. It's a more complex operation that involves searching the array and finding the minimum value. Pros: * Efficient use of JavaScript features (`.min` function) * Simple to implement Cons: * Requires array iteration, which can be slower for large arrays * Uses a callback function, which can add overhead due to function call overhead **Library: Lodash** Lodash is a popular JavaScript library that provides a collection of useful functions for working with arrays, objects, and other data structures. The `_.min(arr)` function is part of the Lodash library. Pros: * Provides a simple and concise way to perform common array operations * Reduces code duplication by providing reusable functions Cons: * Adds overhead due to the library's initialization and maintenance costs **Special JS Feature: Spread Operator** The spread operator (`...`) is a feature introduced in ECMAScript 2015 (ES6) that allows passing an array of values as individual arguments to a function. In this benchmark, it's used to pass the `arr` array to the `Math.min(...)` function. Pros: * Makes code more concise and readable * Allows for easier implementation of functions that take multiple arguments Cons: * Can be slower than a simple array iteration due to the overhead of creating an array of individual values. Overall, the benchmark highlights the importance of considering performance and code readability when choosing between different approaches. The Lodash library provides a convenient way to perform common array operations, but it adds overhead due to the library's initialization costs. The spread operator is a useful feature that can simplify code, but its impact on performance should be considered. **Other Alternatives** If you don't want to use the Lodash library or the spread operator, here are some alternative approaches: * Use `Array.prototype.reduce()` to find the minimum value in an array. * Implement your own binary search algorithm to find the smallest value in an array. Keep in mind that these alternatives may have different performance characteristics and code readability trade-offs compared to the options presented in the benchmark.
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