Benchmark: Codewars outlier test

Script Preparation code:

var arr = new Array(1000000);
arr.fill(10);
arr.push(1);

Tests:

looping
function findOutlier(integers){ //your code here var test; let i = 0; let len = integers.length; if ((integers[0] % 2 == 0 || integers[1] % 2 == 0) && (integers[2] % 2 == 0 || integers[3] % 2 == 0)) { // outlier is odd test = function(int) { return int % 2 !== 0; } } else { // outlier is even test = function(int) { return int % 2 === 0; } } for(i;i < len;i++) { if (test(integers[i])) { return integers[i] } } } findOutlier(arr);
Filtering
function findOutlier(int){ var even = int.filter(a=>a%2==0); var odd = int.filter(a=>a%2!==0); return even.length==1? even[0] : odd[0]; } findOutlier(arr)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
looping
Filtering

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 benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark is designed to measure the performance of JavaScript code that finds an outlier in an array of integers. The outlier is defined as the number that is either even or odd (depending on the implementation). There are two test cases: "looping" and "Filtering".

**Script Preparation Code**

The script preparation code initializes an array `arr` with 1 million elements, fills it with the value 10, and then pushes a single element with the value 1.

**Html Preparation Code**

There is no HTML preparation code provided.

**Individual Test Cases**

Let's analyze each test case:

### Looping

The "looping" test case uses a traditional for loop to iterate through the array and check if the current element matches the outlier condition. The implementation uses two separate functions: `test` that checks if an integer is odd, and another function that returns the outlier.

**Pros and Cons**

* **Pros**: This implementation is straightforward and easy to understand.
* **Cons**: It has a higher constant factor due to the repeated function calls and loop iterations.

### Filtering

The "Filtering" test case uses the `filter()` method to create two separate arrays: one for even numbers and one for odd numbers. The outlier is then returned as the first element of either array if it exists.

**Pros and Cons**

* **Pros**: This implementation is more concise and has a lower constant factor compared to the looping approach.
* **Cons**: It may be less intuitive for some developers, especially those not familiar with `filter()` or array methods.

**Other Considerations**

Both implementations have a time complexity of O(n), where n is the length of the input array. However, the filtering implementation may be slightly faster due to its lower constant factor.

**Library and Special JS Features**

There are no libraries used in these benchmark cases. The filtering method uses a built-in JavaScript method (`filter()`), but it doesn't rely on any external library or framework.

**Other Alternatives**

If you want to explore alternative implementations, here are some options:

* **Using `map()` and `reduce()`:** Instead of using `filter()` or loops, you could use `map()` to create two arrays with the even and odd numbers, and then use `reduce()` to find the outlier.
* **Using a regular expression:** You could use a regular expression to check if a number is even or odd, eliminating the need for explicit function calls or loops.

Here's an example implementation using `map()` and `reduce()`:
```javascript
function findOutlier(integers) {
  const evens = integers.map(Number).filter(num => num % 2 === 0);
  const odds = integers.map(Number).filter(num => num % 2 !== 0);
  return evens.length === 1 ? evens[0] : odds[0];
}
```
Keep in mind that these alternatives may have different performance characteristics and trade-offs, so it's essential to experiment and test them thoroughly.

That's a summary of the provided benchmark!

Related benchmarks:

Codewars outlier test (version: 0)

Comparing performance of: looping vs Filtering

Created: 8 years ago by: Guest

Jump to the latest result

looping

Filtering

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):