Benchmark: AVS3123123131231

Tests:

A
var firstMissingPositive = function(nums) { nums = nums.sort(function(val1, val2) { return val1>val2?1:val1<val2?-1:0; }); if(nums.length===0||nums[nums.length-1]<=0){ return 1; } // A, B for(var i=0,k=1; i<nums.length; ++i){ // C if(nums[i]>k){ return k; } k = nums[i]<k?k:k+1; } return nums[nums.length-1]+1; // D };
V
var firstMissingPositive = function (nums) { let s = 1; let i = 0; let w = false; do { w = false; for (i = 0; i < nums.length; i++) { if (s == nums[i]) { s++; w = true; } } } while (w == true) return s };

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
A
V

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36

Browser/OS: Chrome 83 on Windows

View result in a separate tab

Test name	Executions per second
A	1098003712.0 Ops/sec
V	1095118080.0 Ops/sec

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

LLMs can make mistakes. Check important info.

**Benchmark Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided benchmark definition consists of two test cases, each with its own script preparation code and HTML preparation code. The goal of the benchmark is to measure which approach performs better in finding the first missing positive integer in an array.

**Test Case 1: A**

The script preparation code for Test Case A is:
```javascript
var firstMissingPositive = function(nums) {
    nums = nums.sort(function(val1, val2) {
        return val1>val2?1:val1<val2?-1:0;
    });
    if(nums.length===0||nums[nums.length-1]<=0){ return 1; }
    for(var i=0,k=1; i<nums.length; ++i){
        if(nums[i]>k){ return k; }
        k = nums[i]<k?k:k+1;
    }
    return nums[nums.length-1]+1;
};
```
This script uses the following approaches:

*   Sorting the array in ascending order using `sort()`.
*   Checking if the length of the array is 0 or the last element is less than or equal to 0, and returning 1 as the first missing positive integer.
*   Iterating through the sorted array and checking for each element if it's greater than the current index `k`. If found, return `k` as the first missing positive integer. Otherwise, increment `k` by 1.

**Test Case 2: V**

The script preparation code for Test Case V is:
```javascript
var firstMissingPositive = function (nums) {
    let s = 1;
    let i = 0;
    let w = false;
        do {
            w = false;
            for (i = 0; i < nums.length; i++) {
                if (s == nums[i]) {
                    s++;
                    w = true;
                }
            }
        } while (w == true)
    return s;
};
```
This script uses the following approaches:

*   Initializing two variables, `s` and `i`, to 1 and 0 respectively.
*   Using a do-while loop that increments `s` by 1 in each iteration if it matches an element in the array. If no match is found, set `w` to true.
*   In the outer loop, iterate through the array and check for each element if it's equal to `s`. If found, increment `s` by 1 and set `w` to false.

**Comparison of Approaches**

Here are some pros and cons of each approach:

Test Case A (Approach A):

*   Pros:
    *   Easy to understand and implement.
    *   Suitable for small arrays.
*   Cons:
    *   Has a time complexity of O(n log n) due to sorting, which can be inefficient for large arrays.

Test Case V (Approach V):

*   Pros:
    *   Efficient with a time complexity of O(n).
    *   Suitable for large arrays.
*   Cons:
    *   Requires more iterations and conditional checks.

**Other Alternatives**

Some alternative approaches to finding the first missing positive integer in an array include:

*   Hash table approach: Use a hash table to store elements in the array and iterate through it to find the first missing positive integer.
*   Binary search approach: Use binary search to find the first element that is greater than its index plus one, which can be more efficient for large arrays.

**Library Usage**

Neither of the provided scripts uses any external libraries. However, if you choose to use a library, some popular options include:

*   Lodash: A utility library that provides functions for array manipulation, sorting, and searching.
*   Moment.js: A library for working with dates and times, which can be used to parse and compare dates in the benchmark.

**Special JS Features or Syntax**

The provided scripts do not use any special JavaScript features or syntax. However, some examples of advanced techniques that can be applied to this problem include:

*   Using a more efficient sorting algorithm, such as quicksort or mergesort.
*   Utilizing multi-threading or parallel processing to take advantage of multiple CPU cores.
*   Employing dynamic programming techniques to reduce the time complexity of the algorithm.

Related benchmarks:

AVS3123123131231 (version: 0)

Comparing performance of: A vs V

Created: 4 years ago by: Guest

Jump to the latest result

A

V

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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