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difference vs native
(version: 0)
Comparing performance of:
lodash vs native
Created:
5 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
var tables = [ "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", ]; var hidden = [ "2", "4", ];
Tests:
lodash
_.difference(tables, hidden);
native
tables.filter(function(id) { return !hidden.includes(id)})
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
lodash
native
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 dive into the world of JavaScript microbenchmarks! **Benchmark Definition** The provided JSON represents a benchmark definition, which outlines the test scenario and setup for measuring the performance difference between using a library (Lodash) versus native code to achieve a specific task. The benchmark is designed to compare the execution speed of two approaches: 1. Using Lodash's `difference` function. 2. Implementing the same logic manually without relying on any external libraries. **Script Preparation Code** The script preparation code sets up an array of numbers (`tables`) and another array containing some elements from `tables` (`hidden`). This setup is used to create a test case where we need to find the difference between these two arrays. The manual implementation of this logic will be compared with Lodash's pre-built function. **Html Preparation Code** The HTML preparation code includes a reference to the Lodash library, which is an external dependency for the benchmark. This library provides utility functions that can speed up certain tasks. **Individual Test Cases** There are two test cases: 1. **Lodash**: The benchmark definition uses Lodash's `difference` function to find the elements in `tables` that are not present in `hidden`. 2. **Native**: The second test case manually implements the same logic without using any external libraries. This approach forces us to write our own code for finding the difference between two arrays. **Pros and Cons** Here are some pros and cons of each approach: * **Lodash (difference function)**: + Pros: Fast execution speed, as it's a pre-built function optimized for performance. + Cons: Requires an external library dependency, which may impact loading times or introduce additional latency. * **Native**: + Pros: No external dependencies, which might improve load times and reduce latency. + Cons: Slower execution speed due to the manual implementation of the logic. **Library: Lodash** Lodash is a popular JavaScript utility library that provides an extensive collection of functional programming helpers. In this benchmark, it's used for its `difference` function, which takes two arrays as input and returns an array containing only the elements present in the first array but not in the second. **Special JS Feature/Syntax: None** There are no special JavaScript features or syntaxes being tested or employed in this benchmark. The focus is on comparing the performance of two different approaches to achieving a specific task. **Other Alternatives** If you're interested in exploring alternative libraries or approaches, here are some options: 1. **Other array difference functions**: Other popular library functions like `Array.prototype.filter()` or `Set` operations could be used instead of Lodash's `difference`. 2. **Alternative implementation**: If you want to try a different native implementation, you could use `slice()`, `concat()`, and `includes()` methods or other approaches to find the difference between two arrays. 3. **Benchmarking frameworks**: Tools like Benchmark.js or micro-benchmark can help simplify the benchmarking process by providing a more structured approach. In summary, this benchmark provides a controlled comparison of performance between using an external library (Lodash) versus implementing the same logic manually without relying on any libraries.
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