Is Using JavaScript's Array.sort() for Shuffling a Reliable Method?
Using JavaScript Array.sort() for Shuffling: An Examination
In this article, we explore the validity and efficacy of utilizing the JavaScript Array.sort() method for shuffling.
The Issue
A code snippet that emerged during a debugging session raised concerns about the suitability of this approach:
function randOrd(){ return (Math.round(Math.random())-0.5); } coords.sort(randOrd); alert(coords);
Although the results appeared satisfactory, skepticism persisted due to the lack of theoretical support for the sorting algorithm used by the sort() method. Additionally, concerns arose about the uniformity of the shuffles across different implementations.
Answering the Questions
Is it correct to use sort() for shuffling?
In theory, answered by Jon, it is not recommended to rely on the sort() method for shuffling as sorting algorithms vary and may lead to non-uniform results.
An alternative shuffling function
Despite the shortcomings of sort(), here's an efficient implementation that ensures an even distribution of permutations:
function shuffle(array) { var tmp, current, top = array.length; if(top) while(--top) { current = Math.floor(Math.random() * (top + 1)); tmp = array[current]; array[current] = array[top]; array[top] = tmp; } return array; }
Evaluating the randomness
To assess the randomness, careful measurements of shuffling results can be done. By comparing the distributions to expected values, the uniformity of the results can be evaluated.
Implications for Practical Usage
Consider the following when using sort() for shuffling:
- Ensure that the implementation uses Mergesort, which provides even mapping onto permutations.
- Be aware that other implementations may produce uneven shuffles.
- For performance-sensitive applications, the custom Fisher-Yates algorithm is preferred due to its O(n) complexity compared to O(n log n) for sort().
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