Benchmark: For vs For of loop v3

Script Preparation code:

var data = Array.from({length: 10000}, () => Math.floor(Math.random() * 1000));

Tests:

1
let sum = 0; for (let i=0; i < data.length; i++){ sum += data[i]; }
2
let sum = 0; for (const n of data){ sum += n; }
3
for (let i=0; i < data.length; i++){ }
4
for (const n of data){ }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
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Fastest: N/A

Slowest: N/A

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

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Let's break down the benchmark definition and test cases.

**Benchmark Definition**
The provided JSON represents a JavaScript microbenchmark named "For vs For of loop v3". The script preparation code initializes an array `data` with 10,000 random integers between 0 and 1000 using `Array.from()`. This creates a large dataset that will be used to test the performance of different loop constructs.

**Script Preparation Code**
```javascript
var data = Array.from({length: 10000}, () => Math.floor(Math.random() * 1000));
```
This code generates an array of 10,000 random integers using `Array.from()` and assigns it to the `data` variable.

**Html Preparation Code**
Since there is no HTML preparation code, we can assume that the benchmark will be executed in a headless browser environment or a Node.js environment without a GUI.

**Test Cases**
There are four test cases:

1. **Case 1**: Traditional `for` loop with an index variable (`i`):
```javascript
let sum = 0;
for (let i=0; i < data.length; i++) {
  sum += data[i];
}
```
2. **Case 2**: Using the `for...of` loop construct to iterate over the array:
```javascript
let sum = 0;
for (const n of data) {
  sum += n;
}
```
3. **Case 3**: Traditional `for` loop without an index variable (`i`):
```javascript
for (let i=0; i < data.length; i++) {
  // empty loop body
}
```
4. **Case 4**: Using the `for...of` loop construct to iterate over the array:
```javascript
for (const n of data) {
  // empty loop body
}
```

**Options Compared**

The benchmark compares the performance of two loop constructs:

1. Traditional `for` loops with and without an index variable (`i`).
2. The new `for...of` loop construct, which was introduced in ECMAScript 2015.

**Pros and Cons**

* **Traditional `for` loops**: Pros:
	+ More readable and familiar to many developers.
	+ Better support for array indexing and manipulation.
Cons:
	+ Can lead to slower performance due to the overhead of incrementing an index variable.
* **`for...of` loop construct**: Pros:
	+ More concise and easier to read, especially when working with arrays or other iterables.
	+ Better suited for tasks that don't require explicit control over iteration.
Cons:
	+ May be less familiar to some developers due to its novel syntax.

**Library Used (if applicable)**
None of the test cases use a specific library. However, if we consider the `for...of` loop construct, it's worth noting that this feature is part of the ECMAScript standard and has built-in support in most modern JavaScript engines.

**Special JS Feature or Syntax (if applicable)**
The `for...of` loop construct was introduced in ECMAScript 2015 and is a new syntax for iterating over arrays and other iterables. This feature was added to provide a more concise and expressive way of working with iterables, making it easier to write efficient and readable code.

**Alternatives**

If you're interested in exploring alternative approaches, here are some options:

* Other loop constructs, such as `while` loops or `for-in` loops.
* Using libraries like `lodash` or `underscore` that provide utility functions for iteration and array manipulation.
* Considering other programming paradigms, such as functional programming or parallel processing.

Keep in mind that the choice of loop construct ultimately depends on the specific requirements and constraints of your project.

Related benchmarks:

For vs For of loop v3 (version: 0)

Comparing performance of: 1 vs 2 vs 3 vs 4

Created: 6 years ago by: Guest

Jump to the latest result

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3

4

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):