Benchmark: Slowest character conversion

Script Preparation code:

const alphabet = ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z"];


function generateItems(numberOfItems){
    const result = [];
    for ( var i = 0; i < numberOfItems ; i++ ) {
        result.push( alphabet[Math.floor(Math.random() * alphabet.length)]);
    }
    return result;
}

const list = generateItems(1000000);

Tests:

Initial call
function myFunc(){ for(let i = 0; i < list.length -1; i ++){ list[i] = list[i].toLowerCase() } }
Multiple calls
function myFunc(){ for(let i = 0; i < list.length -1; i ++){ list[i] = list[i].toLowerCase() } for(let i = 0; i < list.length -1; i ++){ list[i] = list[i].toLowerCase() } for(let i = 0; i < list.length -1; i ++){ list[i] = list[i].toLowerCase() } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Initial call
Multiple calls

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36

Browser/OS: Chrome 90 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Initial call	881426624.0 Ops/sec
Multiple calls	885384704.0 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 definition and test cases.

**Benchmark Definition:**

The benchmark measures the performance of converting characters to lowercase in JavaScript. The benchmark defines a script with two functions:

1. `generateItems(numberOfItems)`: generates an array of uppercase letters, each randomly selected from the alphabet.
2. `myFunc()`: loops through the generated list and converts each character to lowercase.

The script preparation code sets up the `alphabet` array and the `list` variable, which is generated by calling `generateItems(1000000)`. The HTML preparation code is empty.

**Test Cases:**

There are two test cases:

1. **Initial call**: This test case runs the `myFunc()` function only once.
2. **Multiple calls**: This test case runs the `myFunc()` function multiple times.

**Options Compared:**

The benchmark compares the performance of calling `myFunc()` with and without additional loop iterations. The main options being compared are:

* Number of loop iterations in `myFunc()`: 1 (Initial call) vs 3 (Multiple calls)

**Pros and Cons:**

* **Single loop iteration**: This approach is simpler to implement and may be faster for smaller inputs, but it may not capture the full behavior of the function.
* **Multiple loop iterations**: This approach provides a more realistic scenario and can help identify performance issues with repeated function calls. However, it increases the complexity of the test case.

**Library:**

The benchmark uses no external libraries. The `generateItems` function is defined within the script itself.

**Special JS Features/Syntax:**

None mentioned in this explanation.

**Other Considerations:**

* The benchmark measures the performance of converting characters to lowercase, which is a relatively simple operation.
* The use of a large input size (1 million items) increases the performance impact and makes it easier to identify performance issues.
* The test cases cover both an initial call and multiple calls, providing a comprehensive view of the function's behavior.

**Alternatives:**

Some alternative approaches could be:

* Using a different data structure or algorithm for generating the list of characters.
* Adding additional functionality to the `myFunc()` function, such as handling errors or edge cases.
* Using a profiling tool or benchmarking framework to analyze performance metrics in more detail.

Related benchmarks:

Slowest character conversion (version: 0)

Comparing performance of: Initial call vs Multiple calls

Created: 3 years ago by: Guest

Jump to the latest result

Initial call

Multiple calls

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):