Benchmark: Calculate - MeasureThat.net

Script Preparation code:

var pp = {x:553,y:1176};
var ep = {x:2275,y:4507};

Tests:

math
if (Math.hypot(ep.x - pp.x, ep.y - pp.y) > 1500) { return 1; } else return 0;
<<0
if ((ep.x < (((pp.x - 1000) / 200) << 0) * 200) || (ep.x > ((((pp.x + 1000) / 200) << 0) + 1) * 200) || (ep.y < (((pp.y - 700) / 200) << 0) * 200) || (ep.y > ((((pp.y + 700) / 200) << 0) + 1) * 200)) { return 1; } else return 0;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
math
<<0

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 provided benchmark information.

**Overview**
The website MeasureThat.net allows users to create and run JavaScript microbenchmarks. The benchmarking process involves preparing a test script, running it on different devices and browsers, and measuring the execution time per second. In this case, we have two individual test cases: "math" and "<<0".

**Benchmark Definition JSON**
The provided Benchmark Definition JSON contains information about the benchmark being tested:
```json
{
    "Name": "Calculate",
    "Description": null,
    "Script Preparation Code": "var pp = {x:553,y:1176};\r\nvar ep = {x:2275,y:4507};",
    "Html Preparation Code": null
}
```
In this case, the script preparation code defines two variables `pp` and `ep`, which are used as input parameters in the test cases.

**Individual Test Cases**
The provided test cases are:
```json
[
    {
        "Benchmark Definition": "if (Math.hypot(ep.x - pp.x, ep.y - pp.y) > 1500) {\r\n  return 1;\r\n}\r\nelse return 0;",
        "Test Name": "math"
    },
    {
        "Benchmark Definition": "if ((ep.x < (((pp.x - 1000) / 200) << 0) * 200) || (ep.x > ((((pp.x + 1000) / 200) << 0) + 1) * 200) || (ep.y < (((pp.y - 700) / 200) << 0) * 200) || (ep.y > ((((pp.y + 700) / 200) << 0) + 1) * 200)) {\r\n  return 1;\r\n}\r\nelse return 0;",
        "Test Name": "<<0"
    }
]
```
These test cases evaluate two different conditions using the `Math.hypot` and arithmetic operations on the variables `pp` and `ep`.

**Library: Math.hypot**
The `Math.hypot` function is a part of the JavaScript Math library. Its purpose is to calculate the Euclidean distance between two points in 2D space, taking into account the sign of the coordinates.

**Special JS Feature/Syntax: None**

Now, let's discuss the options compared and their pros/cons:

1. **Test Case "math"**
	* This test case uses the `Math.hypot` function to calculate the distance between two points.
	* Pros:
		+ Simple and straightforward implementation.
		+ Easy to understand and optimize.
	* Cons:
		+ May be slower due to the use of a built-in function.
2. **Test Case "<<0"**
	* This test case uses arithmetic operations to evaluate a condition, rather than using a built-in function like `Math.hypot`.
	* Pros:
		+ Faster execution time due to avoiding a built-in function call.
	* Cons:
		+ More complex implementation, harder to understand and optimize.

Other alternatives could include:

1. Using a custom implementation of the Euclidean distance formula instead of relying on `Math.hypot`.
2. Using a different data structure or algorithm for evaluating the conditions in the test cases.
3. Optimizing the code using techniques like loop unrolling, caching, or parallel processing (if possible).

It's worth noting that the MeasureThat.net website likely provides detailed information about the specific optimizations and choices made in each benchmark case.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Mobile Safari/537.36

Browser/OS: Chrome Mobile 120 on Android

View result in a separate tab

Test name	Executions per second
math	1371019.4 Ops/sec
<<0	2411715.8 Ops/sec

Related benchmarks:

Calculate (version: 0)

Comparing performance of: math vs <<0

Created: one year ago by: Guest

Jump to the latest result

math

<<0

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):