Benchmark: stupid test - MeasureThat.net

Script Preparation code:

var example = ['t', 'h', 'e', 'r', 'e', ' ', 'i', 's', ' ', 'n', 'o', ' ', 's', 'p', 'o', 'o', 'n']

Tests:

the actual test
var result = example.slice(10)
second test is required
var teapot = 'I am a teapot'

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
the actual test
second test is required

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36

Browser/OS: Chrome 113 on Windows

View result in a separate tab

Test name	Executions per second
the actual test	15875026.0 Ops/sec
second test is required	1145260544.0 Ops/sec

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

LLMs can make mistakes. Check important info.

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

**Benchmark Definition JSON**

The `Script Preparation Code` is a string of JavaScript code that defines an array `example`. The script is designed to create this array, which contains 13 elements. This code serves as a starting point for each test case.

**Individual Test Cases**

There are two test cases:

1. `"var result = example.slice(10"`: This test case creates a new array by slicing the original `example` array from index 10 to the end. The goal is to measure how fast this operation can be executed.
2. `"var teapot = 'I am a teapot'"`: This test case assigns a string value to a variable named `teapot`. The purpose of this test is unclear, but it might be related to measuring string processing or assignment overhead.

**Options Compared**

In the context of benchmarking, "options" typically refer to different approaches or techniques used to optimize or implement a particular operation. Here, we're comparing two distinct approaches:

1. **Array slicing**: The first test case uses array slicing (`example.slice(10)`) to create a new array.
2. **Variable assignment**: The second test case uses variable assignment (`var teapot = 'I am a teapot'`) to assign a value to a variable.

**Pros and Cons of Different Approaches**

1. **Array Slicing**
	* Pros: Efficient use of memory, as it creates a new array without modifying the original.
	* Cons: May incur additional overhead due to function calls (e.g., `slice()`).
2. **Variable Assignment**
	* Pros: Simple and straightforward assignment can be faster for small values or simple types.
	* Cons: Can lead to unnecessary memory allocation, especially if assigning large amounts of data.

**Library/Functionality Used**

In this benchmark, the following libraries/functions are used:

1. `Array.prototype.slice()`: A method on the Array prototype that creates a new array with elements from the original array.

No specific library or functionality is used in the second test case, as it's a simple assignment operation.

**Special JS Feature/Syntax**

There's no special JavaScript feature or syntax used in this benchmark. It only employs basic language constructs like arrays, variable declarations, and string literals.

**Other Alternatives**

If you were to reimplement these benchmarks using different approaches, consider the following alternatives:

1. **Array comprehension**: Instead of using `slice()`, you could create a new array using an array comprehension (e.g., `[...example.slice(10)]`).
2. **String concatenation**: For the second test case, you could use string concatenation (`teapot += 'I am a teapot'`) instead of variable assignment.
3. **Native types**: You might consider using native types like `Uint8Array` or `TextEncoder` for larger datasets to explore optimizations specific to these types.

Keep in mind that each alternative would require careful consideration of the trade-offs between performance, readability, and maintainability.

Related benchmarks:

stupid test (version: 0)

Comparing performance of: the actual test vs second test is required

Created: one year ago by: Guest

Jump to the latest result

the actual test

second test is required

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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