Benchmark: Array sum - MeasureThat.net

Tests:

loop
const array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; let result = 0; for (let i = 0; i < array.length; ++i) { result += array[i]; }
reduce
const array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; const result = array.reduce((previous, current) => previous + current, 0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
loop
reduce

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.

I'll break down the provided benchmark and explain what's being tested, compared, and the pros/cons of different approaches.

**Benchmarking Overview**

The MeasureThat.net website provides a platform for users to create and run JavaScript microbenchmarks. The benchmark in question tests two approaches for calculating the sum of an array: using a traditional `for` loop and using the `reduce()` method.

**Script Preparation Code**

The script preparation code is empty, which means that no additional setup or initialization is required before running the benchmark.

**Individual Test Cases**

There are two test cases:

1. **"loop"`**: This test case uses a traditional `for` loop to calculate the sum of an array.
```javascript
const array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
let result = 0;

for (let i = 0; i < array.length; ++i) {
    result += array[i];
}
```
2. **"reduce"`**: This test case uses the `reduce()` method to calculate the sum of an array.
```javascript
const array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
const result = array.reduce((previous, current) => previous + current, 0);
```
**Library and Purpose**

Neither of the test cases uses any external libraries. The `reduce()` method is a built-in JavaScript function that applies a callback function to each element in an array.

**Special JS Features or Syntax**

There are no special JavaScript features or syntax used in either test case.

**Comparison of Approaches**

The two approaches differ in their performance:

1. **"loop"`**: This approach uses a traditional `for` loop, which can be slower due to the overhead of loop control and iteration.
2. **"reduce"`**: This approach uses the `reduce()` method, which is designed for iterative operations on arrays and is typically faster.

**Pros and Cons**

Pros:

* **"reduce"`**: Faster execution time
* **Cons**: May require a good understanding of the `reduce()` method and its behavior

Cons:

* **"loop"`**: Slower execution time due to loop control overhead
* **Pros**: Easier to understand and implement for those familiar with traditional loops
* **Cons**: May not be as efficient as the `reduce()` method

**Other Alternatives**

In addition to the `for` loop and `reduce()` method, other approaches could be used to calculate the sum of an array:

1. **Using a `forEach()` loop**: This approach would iterate over each element in the array using the `forEach()` method.
2. **Using a `map()` function followed by a `reduce()` function**: This approach would apply a transformation to each element in the array using `map()`, and then use `reduce()` to calculate the sum.

However, these alternatives are likely to be slower than the `for` loop and `reduce()` method approaches.

Related benchmarks:

Array sum (version: 0)

Comparing performance of: loop vs reduce

Created: 3 years ago by: Guest

Jump to the latest result

loop

reduce

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):