Benchmark: reduce vs for...of

Script Preparation code:

var arr = [];
for (var i = 0; i < 12345; i++) {
  arr[i] = i;
}

function someFn(i) {
  return (i * 3 * 8 / 1200 * 0.002 / 40 * 0.2);
}

var sumForEach = 0,
  sumReduce = 0,
  sumMap = 0,
  sumFilter = 0,
  sumFor = 0;

Tests:

reduce
sumReduce = arr.reduce((lastValue, item) => { return sumReduce += someFn(item); });
for...of
for (const a of arr) { sumFor += a; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce
for...of

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 Definition**

The benchmark compares two approaches to sum up an array of numbers:

1. **`for...of` loop**: This approach uses a `for...of` loop to iterate over the array, adding each value to a running total (`sumFor`).
2. **`Array.prototype.reduce()` method**: This approach uses the `reduce()` method to sum up the array values, calling a callback function for each element that accumulates the result in the `sumReduce` variable.

**Comparison Options**

The benchmark compares two options:

1. **`for...of` loop**: This option is straightforward, using a loop to iterate over the array and add up its values.
2. **`Array.prototype.reduce()` method**: This option uses the built-in `reduce()` method to sum up the array values, which can be more concise and efficient than writing a custom loop.

**Pros and Cons**

* **`for...of` loop`**:
	+ Pros: Easy to understand, no dependence on JavaScript features or libraries.
	+ Cons: May not be as efficient as `reduce()` for large arrays, requires explicit increment of the iteration variable (`i`).
* **`Array.prototype.reduce()` method`**:
	+ Pros: Efficient for large arrays, concise syntax, and doesn't require manual incrementing of iteration variables.
	+ Cons: Requires knowledge of JavaScript features and library functions (in this case, `reduce()`), may not be as intuitive for some developers.

**Library Usage**

The benchmark uses the `Array.prototype.reduce()` method, which is a built-in JavaScript library function. The purpose of this function is to reduce an array of values to a single output value by applying a callback function to each element in the array.

**Special JS Feature or Syntax**

This benchmark does not use any special JavaScript features or syntax beyond what's required for `reduce()`. However, it's worth noting that modern JavaScript environments (e.g., WebAssembly) may offer even more efficient and concise ways to perform this type of calculation.

**Alternative Approaches**

Other alternatives to the `for...of` loop and `Array.prototype.reduce()` method might include:

* Using a different library function, such as `Array.prototype.forEach()` or `Array.prototype.map()`, which can be used in combination with other methods.
* Implementing a custom reduction function using recursion, iteration, or a combination of both.
* Using a parallel processing approach (if the benchmark is designed for performance comparison across multiple cores).

Keep in mind that the choice of approach depends on the specific requirements and constraints of the project.

Related benchmarks:

reduce vs for...of (version: 0)

Comparing performance of: reduce vs for...of

Created: 4 years ago by: Guest

Jump to the latest result

reduce

for...of

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):