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.sort() vs Math.min / Math.max
(version: 0)
Comparing performance of:
Array.sort vs Math min and max
Created:
6 years ago
by:
Guest
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Script Preparation code:
const arr = [2,35,67,3,7,58,433,13,23,1];
Tests:
Array.sort
const arr = [2,35,67,3,7,58,433,13,23,1]; const a = arr.sort(); const min = a[0]; const max = a[1];
Math min and max
const arr = [2,35,67,3,7,58,433,13,23,1]; const min = Math.min(...arr); const max = Math.max(...arr);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Array.sort
Math min and max
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36 OPR/106.0.0.0
Browser/OS:
Opera 106 on Windows
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Test name
Executions per second
Array.sort
3008409.0 Ops/sec
Math min and max
3677622.8 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and analyze what is being tested, compared, and their pros and cons. **Benchmark Overview** The provided JSON represents a JavaScript microbenchmark that compares two approaches to find the minimum and maximum values in an array: `Array.sort()` followed by accessing the first and second elements (`a[0]` and `a[1]`) versus using `Math.min()` and `Math.max()` with the spread operator (`...arr`). **Test Cases** There are two test cases: 1. **"Array.sort"**: This test case uses the `sort()` method to sort the array, then accesses the first element (`min`) and second element (`max`) of the sorted array. 2. **"Math min and max"**: This test case uses `Math.min()` and `Math.max()` with the spread operator (`...arr`) to find the minimum and maximum values in the original unsorted array. **Libraries and Features** In this benchmark, there is no specific library being used beyond what is part of the JavaScript standard library. However, it's worth noting that `Array.prototype.sort()` uses a stable sorting algorithm (Timsort) under the hood, which can have implications for performance in certain scenarios. **Special JS Feature/Syntax** There are no special features or syntax being used in this benchmark, but it's worth mentioning that the use of spread operator (`...arr`) is supported by JavaScript starting from ECMAScript 2015 (ES6). **Pros and Cons of Approaches** Here's a brief analysis of each approach: 1. **"Array.sort"**: * Pros: + Can be more intuitive for finding minimum and maximum values in an array. + Does not require the use of separate `min()` and `max()` functions. * Cons: + Sorts the entire array, which can be inefficient if the array is large or contains duplicate values. + May have additional overhead due to the sorting algorithm used (Timsort). 2. **"Math min and max"**: * Pros: + Does not require sorting the array. + Can be more efficient for small arrays or arrays with unique values. * Cons: + Requires using separate `min()` and `max()` functions, which may be less intuitive. **Other Alternatives** If you're looking for alternative approaches to find minimum and maximum values in an array, some other options include: 1. **Using `reduce()`**: You can use the `reduce()` method to find the minimum and maximum values in an array by applying a custom reducer function. ```javascript arr.reduce((min, current) => min < current ? min : current); arr.reduce((max, current) => max > current ? max : current); ``` 2. **Using `Math.min()` and `Math.max()` with `Array.prototype.every()`**: You can use `every()` to find the minimum and maximum values in an array by checking if each element is greater than or equal to the current min/max value. ```javascript arr.reduce((min, current) => min < current ? current : min); arr.reduce((max, current) => max > current ? current : max); ``` These alternatives may have different performance characteristics and use cases compared to the approaches tested in this benchmark. I hope this helps! Let me know if you have any further questions or need more information.
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