Benchmark: contains duplicate

Tests:

nested loops
const array = [1, 2, 3, 4, 5, 1]; let flag = false const truth = () => { for (i = 0; i < array.length ,!flag; i++) for (j = 0; j < array.length; j++) array[i] == array[j] && (flag = true); }; truth()
without loops
const array = [1, 2, 3, 4, 5, 1]; const truth = () => { let settedArray = new Set(array) return settedArray.size == array.length } truth()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
nested loops
without loops

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

**Benchmark Overview**

The provided JSON represents two JavaScript microbenchmarks, each testing the performance of different approaches to check for duplicates in an array.

**Benchmark 1: "contains duplicate"**

This benchmark tests the performance of checking if an array contains any duplicate values using nested loops. The test case is as follows:

```javascript
const array = [1, 2, 3, 4, 5, 1];
let flag = false;
const truth = () => {
  for (i = 0; i < array.length ,!flag; i++) {
    for (j = 0; j < array.length; j++) {
      array[i] == array[j] && (flag = true);
    }
  }
};
truth();
```

**Benchmark 2: "without loops"**

This benchmark tests the performance of checking if an array contains any duplicate values using a Set data structure. The test case is as follows:

```javascript
const array = [1, 2, 3, 4, 5, 1];
const truth = () => {
  let settedArray = new Set(array);
  return settedArray.size == array.length;
};
truth();
```

**Options Compared**

The two benchmarks compare the performance of:

* Nested loops: This approach involves using two nested loops to iterate through the array and check for duplicates.
* Set data structure: This approach uses a Set data structure to store unique values from the array and then compares the size of the set with the original array length.

**Pros and Cons**

### Nested Loops

Pros:

* Simple implementation
* Easy to understand

Cons:

* Inefficient use of resources (e.g., unnecessary iterations)
* May not perform well for large arrays due to the overhead of loop control statements

### Set Data Structure

Pros:

* Efficient use of resources (e.g., fast lookups and inserts)
* Scalable for large arrays

Cons:

* More complex implementation
* Requires additional memory for storing the set data structure

**Library and Purpose**

The Set data structure is a built-in JavaScript data type used to store unique values. It provides an efficient way to perform membership tests, which is essential in this benchmark.

**Special JS Feature or Syntax**

Neither of the test cases uses any special JavaScript features or syntax. However, it's worth noting that using Set data structures can take advantage of browser-specific optimizations and caching mechanisms, which may impact performance.

**Other Alternatives**

If you're interested in exploring other approaches, here are a few alternatives:

* Using a library like Lodash's `uniq` function
* Implementing a hash-based approach using functions like `Object.create()` or `Set`
* Using a hybrid approach that combines nested loops with Set data structures

Keep in mind that each alternative has its own trade-offs and performance characteristics. The choice of approach depends on your specific use case, performance requirements, and personal preference.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/113.0

Browser/OS: Firefox 113 on Windows

View result in a separate tab

Test name	Executions per second
nested loops	1964899.9 Ops/sec
without loops	1322669.6 Ops/sec

Related benchmarks:

contains duplicate (version: 0)

Comparing performance of: nested loops vs without loops

Created: one year ago by: Guest

Jump to the latest result

nested loops

without loops

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):