Benchmark: my Benchmark - MeasureThat.net

Script Preparation code:

var arr = Array(10000).fill({a: Math.random(), b: Math.random()});

Tests:

reduce
const length = arr.length; arr.reduce((acc, item, i) => { acc[arr.length - i] = {...item}; return acc; }, []);
map/revers
arr.map(o => ({...o})).reverse()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce
map/revers

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark is defined in JSON format, which contains information about the benchmark itself, such as its name, description, script preparation code, and HTML preparation code (which is empty in this case). The script preparation code creates an array `arr` with 10,000 random objects, each with two properties: `a` and `b`.

**Individual Test Cases**

The benchmark consists of two individual test cases:

1. **Test Case 1: "reduce"**
This test case uses the `Array.prototype.reduce()` method to reverse the order of elements in the `arr` array. The implementation is specific to JavaScript, using a lambda function (an arrow function) as the callback.
2. **Test Case 2: "map/revers"**
This test case uses the `Array.prototype.map()` method to create a new array with the same elements as the original array, but with each element transformed into an object that has all the properties of the original element (using the spread operator `{...o}`). The resulting array is then reversed using another `reverse()` call.

**Options Compared**

In this benchmark, two approaches are being compared:

1. **Reduce**: This approach uses the `reduce()` method to reverse the order of elements in the array.
2. **Map + Reverse**: This approach uses the `map()` method to create a new array with transformed elements, followed by reversing the resulting array using another `reverse()` call.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **Reduce**:
	* Pros:
		+ More efficient since it only requires one pass through the data.
		+ Can be more concise and readable for simple transformations.
	* Cons:
		+ Less intuitive for complex transformations, as it modifies the accumulator.
2. **Map + Reverse**:
	* Pros:
		+ More flexible for complex transformations, as each element is processed independently.
		+ Easier to understand for those familiar with array operations in other languages.
	* Cons:
		+ Requires two passes through the data (one for mapping and one for reversing).
		+ Can be less efficient than `reduce` since it creates a new array.

**Library**

None of these test cases use a library. The JavaScript standard library provides the `Array.prototype.reduce()` and `Array.prototype.map()` methods, which are used in both test cases.

**Special JS Feature or Syntax**

This benchmark does not rely on any special features or syntax beyond basic JavaScript. However, if you're familiar with some of these concepts:

* The use of arrow functions (`=>`) is a modern JavaScript feature introduced in ECMAScript 2015.
* The spread operator (`{...}`) is also a modern feature, but it's been part of the language since ECMAScript 2015 as well.

**Other Alternatives**

If you were to write similar benchmarks for other languages or libraries, here are some alternative approaches:

1. **Other iteration methods**: Languages like Python might use `reduce` or equivalent methods, while others (like Java) might rely on loops.
2. **Different array operations**: Some languages or libraries provide different array operations, such as `concat()` or `merge()`, which could be used to reverse the order of elements.
3. **Higher-order functions**: Libraries like Lodash or Ramda provide higher-order functions that can perform similar transformations in a more concise and expressive way.

Keep in mind that each language or library has its own strengths and weaknesses, so it's essential to choose the most suitable approach for your specific use case.

Related benchmarks:

my Benchmark (version: 0)

Comparing performance of: reduce vs map/revers

Created: 3 years ago by: Guest

Jump to the latest result

reduce

map/revers

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):