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Comb Sort vs. Native Sort
(version: 0)
Comparing performance of:
Native Sort DESC vs Native Sort ASC
Created:
9 years ago
by:
Guest
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Script Preparation code:
var sampleData = []; for (var i=0; i < 1000; i++){ sampleData.push({value: (Math.floor(Math.random() * 1000))}); } var selectorFn = function(x) { return x.value; }
Tests:
Native Sort DESC
var order = "desc"; sampleData.sort(function(a,b){ var x = selectorFn(a); var y = selectorFn(b); var res = ((x < y) ? -1 : ((x > y) ? 1 : 0)); return order === "desc" ? -1*res : res; })
Native Sort ASC
var order = "asc"; sampleData.sort(function(a,b){ var x = selectorFn(a); var y = selectorFn(b); var res = ((x < y) ? -1 : ((x > y) ? 1 : 0)); return order === "desc" ? -1*res : res; })
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Native Sort DESC
Native Sort ASC
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 benchmark and explain what's being tested. **Benchmark Overview** The benchmark compares two sorting algorithms: Native JavaScript sort and Comb Sort, which is an alternative sorting algorithm. The goal is to measure their performance on a large dataset of random numbers. **Script Preparation Code** The script preparation code generates a sample dataset of 1000 objects with random values between 0 and 1000. Each object has a `value` property that will be used for sorting. The `selectorFn` function is defined, which returns the value of each object in the dataset. **Individual Test Cases** There are two test cases: 1. **Native Sort DESC**: This test case sorts the sample data in descending order using the native JavaScript sort function. 2. **Native Sort ASC**: This test case sorts the sample data in ascending order using the native JavaScript sort function. **What's being compared?** The benchmark is comparing the performance of two sorting algorithms: 1. Native JavaScript sort: This is the built-in sorting algorithm provided by JavaScript, which uses a variation of quicksort. 2. Comb Sort: This is an alternative sorting algorithm that uses a combination of swap and increment operations to reduce the number of comparisons needed. **Pros and Cons** Here are some pros and cons of each approach: * **Native JavaScript sort**: + Pros: - Fast and efficient for most use cases. - Well-supported by modern browsers and Node.js. + Cons: - Can be slow for very large datasets due to the overhead of recursive function calls. - May not perform well on certain types of data, such as nearly sorted or nearly unsorted data. * **Comb Sort**: + Pros: - Can be faster than native JavaScript sort for very large datasets due to its optimized swap and increment operations. - Can handle near-sorted or near-unsorted data more efficiently. + Cons: - May not perform well on small datasets due to the overhead of unnecessary swaps and increments. - Requires additional memory to store the gap value. **Library** There is no explicit library mentioned in the benchmark definition. However, it's likely that the `sort` function used in the test cases is implemented by a browser or Node.js engine, which may use various sorting algorithms internally. **Special JS feature or syntax** The benchmark uses the `var` keyword for variable declaration, which is an older syntax that was widely supported in early versions of JavaScript. It's still used today, but it's generally recommended to use `let` and `const` instead for better scoping and security. **Other alternatives** Some other sorting algorithms that could be tested alongside Comb Sort include: * Bubble sort * Insertion sort * Merge sort * Quick sort (a variation of the quicksort algorithm used by native JavaScript sort) * Heap sort These algorithms have different trade-offs in terms of performance, memory usage, and complexity, making them suitable for different use cases.
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