Benchmark: switch vs object2

Tests:

switch
function getType(type){ switch(type){ case 0: return 'Private'; case 1: return 'public'; default: return 'NA'; } }
object
function getType(type){ return { 0: 'Private', 1: 'Public', } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
switch
object

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases.

**Benchmark Definition:**

The provided benchmark definition is a JSON object that describes two different approaches to testing a specific piece of code. The definition includes:

*   A script preparation code (null in this case), which means no additional setup or initialization code is needed for the benchmark.
*   An HTML preparation code (null in this case), which suggests that the benchmark does not require any specific HTML structure or layout.
*   Two test cases, "switch" and "object", each with its own unique implementation.

The two approaches are:

1.  **Switch Statement Approach:** This approach uses a traditional `switch` statement to evaluate the input value. The code is as follows:
    ```javascript
function getType(type) {
    switch (type) {
        case 0:
            return 'Private';
        case 1:
            return 'Public';
        default:
            return 'NA';
    }
}
```
2.  **Object Approach:** This approach uses an object to map the input value to its corresponding string. The code is as follows:
    ```javascript
function getType(type) {
    return {
        0: 'Private',
        1: 'Public'
    }[type];
}
```

**Options Compared:**

The two approaches being compared are:

*   **Switch Statement:** This approach uses a `switch` statement, which can be slower than object-based lookups because of the overhead associated with branch prediction and the potential for false positives.
*   **Object Approach:** This approach uses an object to map the input value to its corresponding string. Objects in JavaScript are implemented as hash tables, which provide faster lookups compared to `switch` statements.

**Pros and Cons:**

*   **Switch Statement Approach:**
    *   Pros:
        *   Can be easier to read and understand for developers familiar with traditional switch statements.
    *   Cons:
        *   Potentially slower due to branch prediction overhead.
*   **Object Approach:**
    *   Pros:
        *   Generally faster because objects provide faster lookups compared to `switch` statements.
    *   Cons:
        *   May be more difficult for developers unfamiliar with object-based code.

**Library and Purpose:**

There is no explicit library mentioned in the benchmark definition. However, it's worth noting that JavaScript engines like V8 (used by Chrome) often provide built-in optimizations for common data structures and algorithms, including objects and `switch` statements.

**Special JS Feature or Syntax:**

There are no special features or syntax mentioned in the benchmark definition. Both approaches use standard JavaScript syntax and do not rely on any specific features or libraries.

**Alternatives:**

Other alternatives for this benchmark could include:

*   **Regexp Approach:** Using regular expressions to match the input value against a pattern.
*   **Array-Based Approach:** Using an array to store the mapping between input values and their corresponding strings.
*   **Closure-Based Approach:** Creating a closure that encapsulates the mapping logic.

These alternatives would require modifications to the benchmark definition and test cases, but they could provide additional insights into the performance characteristics of different approaches.

Related benchmarks:

switch vs object2 (version: 0)

Comparing performance of: switch vs object

Created: 5 years ago by: Guest

Jump to the latest result

switch

object

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):