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Compare arrays 2
(version: 1)
Comparing performance of:
Difference vs Includes
Created:
5 years ago
by:
Registered User
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js'></script>
Script Preparation code:
var arr = []; var count = 100; for(var i = 0; i < count; i++) { arr[i] = i; } var arr2 = arr.slice(count/2);
Tests:
Difference
_.isEmpty(_.difference(arr2, arr));
Includes
arr2.every((i) => _.includes(arr, i));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Difference
Includes
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and its components. **Benchmark Definition JSON** The provided JSON represents a JavaScript microbenchmark, where users can create and run their own benchmarks. The JSON contains the following information: * `Name` and `Description`: These are metadata fields for the benchmark. * `Script Preparation Code` and `Html Preparation Code`: These are the code snippets that need to be executed before running the benchmark. In this case: + `var arr = []` creates an empty array `arr`. + `var count = 100` sets a counter variable `count` to 100. + `for` loop iterates 100 times, populating the array `arr` with values from 0 to 99. + `var arr2 = arr.slice(count/2)` creates a new array `arr2` containing elements from the first half of `arr`. * The second part of the JSON contains individual test cases, which are represented by two objects: + Each object has a unique `Test Name`. + The `Benchmark Definition` is the actual JavaScript code that will be executed during the benchmark. In this case: - For "Difference", the benchmark checks if there are no elements in the difference between `arr2` and `arr` using Underscore.js's `_.difference()` function. - For "Includes", the benchmark checks if every element in `arr2` is included in the array `arr` using Underscore.js's `_.includes()` function. **Options Compared** The benchmark compares two approaches: 1. Using `_.difference()` from Underscore.js (the "Difference" test case) 2. Using `every()` and `_.includes()` from Underscore.js (the "Includes" test case) These functions are used to perform set operations on arrays. **Pros and Cons** Here's a brief overview of the pros and cons of each approach: 1. **_.difference()** * Pros: + More concise and expressive code. + Possibly faster, as it uses optimized algorithms for array manipulation. * Cons: + May require additional dependencies (Underscore.js). + Can be less intuitive for developers without experience with set operations. 2. **every() + _.includes()** * Pros: + More familiar and accessible to developers, as it uses built-in functions (`every()` and `_.includes()`). + Less dependency on external libraries (only Underscore.js). * Cons: + May be less concise or expressive code. + Possibly slower, due to the need to iterate through each element in `arr2` using `every()`. **Underscore.js Library** Underscore.js is a popular JavaScript library that provides a collection of functional programming helpers. The two functions used in this benchmark are: * `_`: An alias for the root object of Underscore.js, which contains various helper functions. * `.difference()`: Returns a new array containing elements that are present in the first array (`arr`) but not in the second array (`arr2`). * `.includes()`: Returns `true` if an element is included in an array. **Special JS Feature/Syntax** This benchmark does not use any special JavaScript features or syntax beyond what's commonly used in modern web development. However, it relies on the Underscore.js library, which provides a convenient way to perform set operations on arrays. Overall, this benchmark provides a good opportunity for developers to compare and contrast two approaches to performing set operations on arrays using JavaScript. By analyzing the results, developers can gain insights into the performance characteristics of each approach and make informed decisions about how to optimize their own code.
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