Benchmark: sum range - MeasureThat.net

Tests:

loop
function sumAll(arr) { var sum = 0; for (var i = Math.min(...arr); i <= Math.max(...arr); i++){ sum += i; } return sum; } sumAll([10, 5]);
self
function sumAll(arr) { var range = Array.from(new Array(1 + (Math.max(...arr)-Math.min(...arr))),(val,index)=>index+Math.min(...arr)); return range.reduce(function(a,b) { return a+b; }); } sumAll([10, 5]);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
loop
self

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark is designed to measure the performance of two different approaches for calculating the sum of an array of numbers: using a loop (`loop`) and using an array range calculation (`self`).

**Options Compared**

Two options are compared:

1. **Loop**: This approach uses a traditional `for` loop to iterate over the array, adding each number to a running total.
2. **Self**: This approach uses the `Array.from()` method to create an array of numbers from 0 to the maximum value in the input array, and then uses the `reduce()` method to sum up these values.

**Pros and Cons**

* **Loop:**
	+ Pros:
		- Easy to understand and implement.
		- Works for any array of numbers.
	+ Cons:
		- Can be slow for large arrays due to the overhead of the loop.
		- May have issues with edge cases, such as empty or null arrays.
* **Self:**
	+ Pros:
		- Often faster than the loop approach for large arrays.
		- More concise and expressive code.
	+ Cons:
		- Requires a good understanding of the `Array.from()` and `reduce()` methods.
		- May not work as expected for non-numeric or null input.

**Library and Syntax**

* **Array.from()**: This method creates a new array from an iterable (in this case, a range of numbers). It's a modern JavaScript feature introduced in ES6.
* **Reduce()**: This method applies a function to each element in an array, accumulating a result. It's another modern JavaScript feature also introduced in ES6.

**Considerations**

When choosing between these two approaches, consider the size and complexity of your data. For small arrays or simple calculations, the loop approach may be sufficient. However, for larger datasets or more complex calculations, the `self` approach may provide a performance boost.

**Other Alternatives**

If you need to calculate sums over an array of numbers, there are other approaches you could consider:

* **Using a library**: There are many libraries available that provide optimized implementations for summing arrays, such as Lodash or Ramda.
* **Vectorized operations**: Modern browsers and JavaScript engines often support vectorized operations, which can be used to perform calculations on entire arrays at once. This approach is often faster than the loop or `self` approaches but may require more expertise.

I hope this explanation helps you understand what's being tested in the benchmark!

Latest run results:

Run details: (Test run date: 8 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36

Browser/OS: Chrome 53 on Windows

View result in a separate tab

Test name	Executions per second
loop	135917.8 Ops/sec
self	56138.8 Ops/sec

Related benchmarks:

sum range (version: 0)

Comparing performance of: loop vs self

Created: 8 years ago by: Guest

Jump to the latest result

loop

self

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):