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unshift vs realloc vs push vs init
(version: 0)
Comparing performance of:
unshift vs realloc vs push vs init
Created:
4 years ago
by:
Guest
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Tests:
unshift
let arr = []; for(let i = 0; i < 10000; i++) { arr.push(i); } arr.unshift(-1);
realloc
let arr = []; for(let i = 0; i < 10000; i++) { arr.push(i); } arr = [-1,...arr];
push
let arr = []; for(let i = 0; i < 10000; i++) { arr.push(i); } arr = [-1].push(...arr);
init
let arr = [-1]; for(let i = 0; i < 10000; i++) { arr.push(i); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
unshift
realloc
push
init
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net. **Benchmark Definition** The benchmark definition provided is a JSON object that outlines the experiment being conducted. In this case, it's comparing four different approaches to manipulate an array: 1. `unshift`: adding an element to the beginning of the array using the `unshift()` method. 2. `realloc` (likely a typo for "slice" or "reallocate"): creating a new array by concatenating the existing array with a new array containing the desired elements, and then assigning the result back to the original array variable. 3. `push`: adding an element to the end of the array using the `push()` method. 4. `init`: initializing the array with a fixed value (in this case, -1) and then pushing additional elements. **Options Compared** The benchmark is comparing the performance of these four approaches on a large dataset (10000 elements). The options being compared are: * Array initialization and manipulation methods * Efficiency in adding elements to the beginning or end of the array **Pros and Cons of Each Approach** 1. `unshift`: * Pros: efficient for appending new elements to the beginning of the array. * Cons: may incur additional overhead due to indexing updates. 2. `realloc` (or "slice"): * Pros: allows for more control over the manipulation process, but can be slower due to the creation of a new array. * Cons: may not be as efficient as other methods, especially for large datasets. 3. `push`: * Pros: simple and straightforward method for appending elements to the end of the array. * Cons: may incur additional overhead due to indexing updates. 4. `init`: * Pros: initializes the array with a fixed value, making it easier to add subsequent elements. * Cons: may not be as efficient as other methods, especially if multiple iterations are required. **Library Usage** There is no explicit library usage mentioned in the benchmark definition or test cases. However, it's worth noting that some libraries (e.g., Lodash) provide optimized implementations of array manipulation functions that may affect performance. **Special JavaScript Features or Syntax** None of the test cases appear to use any special JavaScript features or syntax that would significantly impact performance. However, if you're interested in exploring more advanced topics like micro-optimizations, parallel processing, or memoization, MeasureThat.net provides a wide range of benchmarks and experiments for investigation. **Alternatives** If you're looking for alternative benchmarking tools or frameworks, consider the following options: 1. **jsperf**: A popular JavaScript performance benchmarking tool that allows you to create custom benchmarks. 2. **Benchmark.js**: A lightweight, modular benchmarking library for JavaScript that provides a simple API for creating and running benchmarks. 3. **micro-benchmark**: A small, efficient benchmarking library that focuses on providing accurate results in a concise and readable format. These alternatives may offer more features or flexibility than MeasureThat.net, but it's essential to evaluate each tool based on your specific needs and requirements.
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