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FilterArray
(version: 0)
Testing if statement of filter array is in fact
Comparing performance of:
FilterArray vs Array#filter()
Created:
7 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/angular.js/1.6.5/angular.min.js'></script>
Script Preparation code:
function filterArray(arrayToFilter, testFunction) { var elementsRemoved = false; var idx; if (!angular.isArray(arrayToFilter) || !angular.isFunction(testFunction)) { return elementsRemoved; } for (idx = arrayToFilter.length - 1; idx >= 0; idx--) { if (!testFunction(arrayToFilter[idx])) { arrayToFilter.splice(idx, 1); elementsRemoved = true; } } return elementsRemoved; } var myArray = Array.apply(null, {length: 100000}).map(Function.call, Math.random); var myFilterFunc =(x) => x > 0.5;
Tests:
FilterArray
filterArray(myArray, myFilterFunc);
Array#filter()
myArray.filter(myFilterFunc);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
FilterArray
Array#filter()
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 and explain what's being tested, the options compared, pros and cons of each approach, and other considerations. **Benchmark Overview** The benchmark is designed to compare two approaches for filtering an array in JavaScript: using the `filter()` method directly on the array (`Array#filter()`) versus using a custom function with the Angular framework (`filterArray()`). **Options Compared** 1. **Direct Array Filtering (Array#filter())**: This approach uses the built-in `filter()` method of the JavaScript array prototype, which iterates over each element in the array and checks if it matches the provided condition. 2. **Angular Framework-based Filtering (filterArray())**: This approach defines a custom function that takes an array and a test function as arguments. It then iterates over each element in the array using `splice()` to remove elements that do not match the test function. **Pros and Cons of Each Approach** 1. **Direct Array Filtering (Array#filter())** * Pros: + Faster execution time due to optimized implementation by JavaScript engine. + Less memory allocation required, as only a new array is created to store filtered elements. * Cons: + May not work correctly for arrays with large numbers of elements or complex data structures. 2. **Angular Framework-based Filtering (filterArray())** * Pros: + Can handle large datasets and complex data structures more efficiently. + Allows for more fine-grained control over the filtering process. * Cons: + Slower execution time due to additional overhead of Angular framework functions like `splice()`. + Requires Angular framework to be loaded, which may add unnecessary overhead. **Library and Framework** In this benchmark, the Angular framework is used as a library to provide a way to define custom filtering functions. The `angular.isFunction()` function is used to check if the test function passed to `filterArray()` is indeed a function. **Special JS Features or Syntax** There are no specific JavaScript features or syntaxes being tested in this benchmark. However, it's worth noting that the use of `Function.call` with `Math.random` in the preparation code may be an example of functional programming techniques. **Other Considerations** * The benchmark uses a synthetic dataset (an array of 100,000 random numbers) to test the filtering performance. * The test cases are designed to run on both desktop and mobile devices to provide more comprehensive results. **Alternatives** If you're interested in exploring alternative approaches for filtering arrays, consider the following: 1. **Lodash**: A popular JavaScript library that provides a `filter()` function for arrays, which can offer more flexibility and performance than the built-in `Array#filter()` method. 2. **Underscore.js**: Another JavaScript library that provides an `filter()` function for arrays, which can offer more features and customization options than the Angular framework-based approach. Keep in mind that these alternatives may have different trade-offs in terms of execution time, memory usage, and complexity, so it's essential to evaluate them based on your specific use case and requirements.
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