Benchmark: Find shortest array length

Script Preparation code:

var arrays = Array(1000).fill(() => Array(Math.random() * 1000).fill(0));

function bitwiseMin(x, y) {
  return y ^ ((x ^ y) & -(x < y));
}

Tests:

Math.min with spread and map
var smallest = Math.min(...arrays.map(arr => arr.length));
For loop with bitwise min
var smallest = arrays[0].length; for (var i = 1; i < arrays.length; i++) { smallest = bitwiseMin(smallest, arrays[i].length) }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.min with spread and map
For loop with bitwise min

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what's being tested, compared, and the pros/cons of different approaches.

**Benchmark Definition**

The benchmark is defined by two test cases:

1. **Math.min with spread and map**: This test case uses the `Array.prototype.map()` method to create a new array of lengths from the original arrays, and then passes this array to the `Math.min()` function using the spread operator (`...`).
2. **For loop with bitwise min**: This test case uses a traditional for loop to iterate over the arrays and find the smallest length using a custom `bitwiseMin()` function.

**Options compared**

The two test cases compare two different approaches to finding the shortest array length:

* Using `Array.prototype.map()` and `Math.min()` (Test Case 1)
* Using a traditional for loop with a custom bitwise operation (`bitwiseMin()`) (Test Case 2)

**Pros/Cons of each approach**

**Math.min with spread and map:**

Pros:

* Concise and expressive code
* Uses modern JavaScript features to simplify the implementation
* Should be faster due to the use of `map()` and `Math.min()`

Cons:

* May have higher overhead due to the creation of a new array using `map()`
* Might not work as expected in older browsers that don't support `map()` or `Math.min()` with spread syntax

**For loop with bitwise min:**

Pros:

* Should be faster for small arrays due to the avoidance of function call overhead
* Can take advantage of CPU optimizations for bitwise operations
* Works in older browsers that don't support modern JavaScript features

Cons:

* More verbose and less expressive code
* Requires a custom `bitwiseMin()` function, which can add complexity

**Other considerations**

* The use of `bitwiseMin()` is an interesting choice. This function seems to be using bitwise operations to find the smallest number, but it's not immediately clear how it works. If you're interested in learning more, I'd recommend looking into bitwise operations in JavaScript and how they can be used for efficient comparisons.
* The benchmark uses a fixed-size array (`Array(1000).fill(() => Array(Math.random() * 1000).fill(0)))` to generate random arrays for testing. This is a good choice because it allows the benchmark to focus on comparing different algorithms rather than dealing with variations in input data.

**Alternatives**

Other approaches you might consider:

* Using `Array.prototype.reduce()` instead of `Math.min()` and spread syntax
* Implementing a custom sorting algorithm (e.g., quicksort, mergesort) instead of using `Math.min()`
* Using a parallel or multi-threaded approach to compare the performance of different algorithms

Keep in mind that each alternative will have its own trade-offs in terms of code complexity, performance, and compatibility with older browsers.

Related benchmarks:

Find shortest array length (version: 0)

Math.min with spread or for loop

Comparing performance of: Math.min with spread and map vs For loop with bitwise min

Created: 5 years ago by: Guest

Jump to the latest result

Math.min with spread and map

For loop with bitwise min

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):