Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
sort test 2
(version: 0)
Comparing performance of:
1 vs 2
Created:
6 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var a = []; for(let i = 0; i < 100000; i++){ a.push(Math.random() * 100); }
Tests:
1
a.sort((a,b) => a-b);
2
a.sort((a,b) => a < b ? -1 : 1);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
1
2
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
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 Definition** The benchmark is defined by a JSON object with two properties: `Script Preparation Code` and `Html Preparation Code`. The `Script Preparation Code` defines how to prepare the test environment, which in this case involves creating an array of 100,000 random numbers (`var a = []; for(let i = 0; i < 100000; i++) { a.push(Math.random() * 100); }`). There is no HTML preparation code. **Test Cases** The benchmark has two test cases: 1. `a.sort((a,b) => a-b);` 2. `a.sort((a,b) => a < b ? -1 : 1);` Both test cases are comparing the sorting performance of an array using the built-in `sort()` method with different comparison functions. **Comparison Functions** The two comparison functions being tested are: 1. `(a, b) => a - b` 2. `(a, b) => a < b ? -1 : 1` Both functions are designed to compare two elements of the array and return a value that determines their order in the sorted array. **Pros and Cons of Each Approach** 1. ** `(a, b) => a - b` ** * Pros: Simple, straightforward implementation. * Cons: May cause issues with NaN (Not a Number) values or non-numeric elements in the array, as subtraction is not defined for these cases. 2. ** `(a, b) => a < b ? -1 : 1` ** * Pros: Robust handling of NaN and non-numeric values, as it treats them as undefined and returns the correct comparison result (0 or -1). * Cons: Slightly more complex implementation compared to the first approach. **Library** None of the provided code uses a specific JavaScript library. However, the `sort()` method is a built-in method of the Array prototype in JavaScript. **Special JS Features/Syntax** The benchmark does not use any special JavaScript features or syntax beyond what's available in standard ECMAScript 2015 (ES6) and later versions. **Other Alternatives** If you're looking for alternative sorting algorithms, some examples include: 1. Merge sort 2. Quick sort 3. Heap sort However, these algorithms typically have different performance characteristics than the built-in `sort()` method, which is usually implemented as a hybrid algorithm that combines elements of merge sort and insertion sort. For more complex sorting scenarios or when performance-critical code needs to be optimized, you may consider using specialized libraries like: 1. FastSort 2. SortedSet (for data structures) Keep in mind that these alternatives are generally used for specific use cases or when the built-in `sort()` method is not sufficient. **Benchmark Considerations** When running a benchmark like this one, it's essential to consider factors like: 1. Data distribution and randomness: Ensure that the test data is representative of real-world scenarios. 2. Cache efficiency: Some sorting algorithms can be sensitive to cache locality; choose algorithms optimized for your specific use case. 3. Number of iterations: Increase or decrease the number of iterations based on performance requirements. By understanding these factors, you can get a more accurate representation of how different sorting algorithms perform in your specific context.
Related benchmarks:
sort test 3
Lodash 4.17.21 sort vs array.prototype.sort
sort performance fixed
sorting speed
Comments
Confirm delete:
Do you really want to delete benchmark?