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Deduplicate 3
(version: 0)
Fixed another typo
Comparing performance of:
Sort vs Set
Created:
2 years ago
by:
Guest
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Tests:
Sort
let array = []; for (let i = 0; i < 100000; i++) { array.push(1); array.push(i); } array.sort(); let newArray = [array[0]]; for(let i = 1; i < array.length; i ++) { if(array[i-1] !== array[i]) { newArray.push(array[i]) } } console.log(newArray);
Set
let array = []; for (let i = 0; i < 100000; i++) { array.push(1); array.push(i); } console.log([...new Set(array)]);
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Suite status:
<idle, ready to run>
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Test case name
Result
Sort
Set
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring the performance of JavaScript microbenchmarks can be a complex task, as it depends on various factors such as the JavaScript engine, browser version, and hardware configuration. The provided JSON benchmark definition consists of two test cases: 1. **Sort**: This test case creates an array with 100,000 elements, where each element is either a duplicate (1) or a unique number (i). The array is then sorted using the built-in `sort()` method. Finally, a new array is created by iterating over the sorted array and adding only the non-duplicate elements to it. 2. **Set**: This test case creates an array with 100,000 elements, where each element is either a duplicate (1) or a unique number (i). The array is then logged using the spread operator (`[...new Set(array)]`). Let's analyze the options compared: **Sort:** * **Built-in sort() method**: This approach uses the built-in `sort()` method, which is implemented in the JavaScript engine. It's likely to be optimized for performance. * **Custom implementation**: The test case implements a custom sorting algorithm by iterating over the array and adding non-duplicate elements to a new array. **Pros of Built-in sort() method:** * Faster execution time due to optimizations made by the JavaScript engine * Less code to write and maintain **Cons of Built-in sort() method:** * May not be as flexible or customizable as a custom implementation * Can be affected by factors like the order of operations, overflow, and rounding errors **Pros of Custom implementation:** * More control over the sorting algorithm and its optimizations * Can be more efficient for specific use cases or edge cases **Cons of Custom implementation:** * Requires more code to write and maintain * May not be optimized by the JavaScript engine For the **Set** test case, the approach is quite simple: it uses the spread operator (`[...new Set(array)]`) to create a new array with unique elements. This approach is likely to be faster than a custom implementation, as it leverages the built-in `Set` data structure. In both cases, the performance difference between the two approaches may not be significant for small inputs, but it can become more noticeable for larger inputs or in situations where optimization is critical. **Library usage:** * The **Set** test case uses the `Set` data structure, which is a built-in JavaScript object. Its purpose is to store unique values and provide efficient lookup, insertion, and removal operations. **Special JS features/syntax:** None of the provided benchmark definitions use any special JavaScript features or syntax that would require additional explanation. **Alternatives:** * For microbenchmarks, it's essential to consider alternative approaches like: + Using a different sorting algorithm (e.g., quicksort, mergesort) + Optimizing the code for specific browsers or platforms + Using parallel processing or multi-threading to take advantage of multiple CPU cores + Measuring the performance of existing libraries or frameworks that implement similar functionality Keep in mind that when creating benchmarks, it's crucial to ensure that the test cases are representative of real-world scenarios and that the results are accurate and reliable.
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