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lodash flatmap vs array.flatMap fixed
(version: 0)
Comparing performance of:
lodash.flatMap vs array.flatMap
Created:
4 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js"></script>
Script Preparation code:
var x = [1,2,3] var y = [4,5,6] var z = [x,y,x,y,x,y,x,y]
Tests:
lodash.flatMap
_.flatMap(z)
array.flatMap
z.flatMap(it => it)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
lodash.flatMap
array.flatMap
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to explain what's being tested in this benchmark. **Overview** The provided JSON represents two individual test cases, each measuring the performance of a different approach for flattening an array using JavaScript. The first test case uses Lodash's `flatMap` function, while the second test case uses the `flatMap` method of native arrays (i.e., `Array.prototype.flatMap`). **Test Case 1: Lodash's `flatMap`** In this test case, the script preparation code creates an array `z` that contains another array `[x, y, x, y, x, y, x, y]`. The benchmark definition is set to `_.flatMap(z)`, which means that the Lodash library's `flatMap` function will be called on the `z` array. **Test Case 2: Native Array `flatMap`** In this test case, the script preparation code creates an array `z` with the same structure as in Test Case 1. The benchmark definition is set to `z.flatMap(it => it)`, which means that a custom function will be used to flatten the array. **Libraries and Libraries Purpose** The Lodash library is being used in this test case, specifically its `flatMap` function. Lodash is a popular JavaScript utility library that provides a wide range of functions for common tasks, such as string manipulation, array and object manipulation, and more. In this context, the `flatMap` function is used to flatten an array. **JavaScript Features and Syntax** This benchmark does not explicitly use any special JavaScript features or syntax. However, it does demonstrate the difference between using a library (Lodash) versus native JavaScript methods (`Array.prototype.flatMap`) for flattening arrays. **Performance Comparison** The performance comparison is between two approaches: 1. Lodash's `flatMap` function 2. Native Array `flatMap` method The pros and cons of each approach are as follows: * **Lodash's `flatMap`**: Pros: + More concise code + Easier to read and maintain, especially for complex flattening tasks + Reduces the risk of manual indexing errors * Cons: + Requires an external library (Lodash) to be included in the test environment + May introduce additional overhead due to the size of the library * **Native Array `flatMap`**: Pros: + No external dependencies or library inclusion required + Can be more efficient for simple flattening tasks + Uses native code, which may be faster and more optimized * Cons: + Requires manual handling of indexing errors + May require more complex code and maintenance **Alternatives** Other alternatives for flattening arrays include: 1. `Array.prototype.map().flat()` (ECMAScript 2019+): This method can flatten an array, but it may not be as efficient as native `flatMap` for large datasets. 2. `Array.prototype.reduce()`: While not specifically designed for flattening arrays, `reduce()` can be used to accumulate values from a nested array structure. 3. Custom implementation using `for...of` loops or recursive functions: These approaches require manual handling of indexing errors and may be less efficient than native methods. In conclusion, this benchmark provides a useful comparison between two approaches for flattening arrays in JavaScript: Lodash's `flatMap` function versus the native Array `flatMap` method. The choice of approach depends on the specific requirements of the application, including performance, code complexity, and maintainability considerations.
Related benchmarks:
lodash flatmap vs array.flat
lodash flatmap vs Vanilla flatmap
_.flatten vs .flatMap
lodash flatmap vs native
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