Benchmark: Variable Expression vs Function vs Arrow

Tests:

Expression fUNC
const limit = 10000; const A = function (result){ const a = result + 1; if (a < limit){ return A(a); } } A(0)
Direct Func
const limit = 10000; function A(result){ const a = result + 1; if (a < limit){ return A(a); } } A(0)
Arrow Func
const limit = 10000; const A = (result)=>{ const a = result + 1; if (a < limit){ return A(a); } } A(0)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Expression fUNC
Direct Func
Arrow Func

Fastest: N/A

Slowest: N/A

Latest run results:

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

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

**Benchmark Definition JSON**

The `Benchmark Definition` is not explicitly defined, but based on the test cases, it appears to be comparing three different approaches for recursively adding 1 to an input number until it reaches a specified limit (10,000).

**Test Cases**

There are three test cases:

1. **Variable Expression**: This approach uses a variable `result` and increments it by 1 in each recursive call.
2. **Function**: This approach defines a function named `A` that takes an input number as an argument. In the function body, it increments the input number by 1 and checks if it's less than the limit. If so, it calls itself with the new value until the limit is reached.
3. **Arrow Function**: This approach uses an arrow function to define a similar recursive process.

**Comparison of Options**

The three options differ in how they implement recursion:

* Variable Expression: Uses a variable `result` and increments it by 1 in each recursive call, which can lead to issues with cache locality and performance.
* Function: Defines a named function that takes an input number as an argument, allowing for better control over the recursion process. However, this approach may incur additional overhead due to function calls.
* Arrow Function: Uses an arrow function, which is similar to a regular function but with some differences in syntax and behavior. Arrow functions can be more concise, but their performance might vary depending on the JavaScript engine.

**Pros and Cons**

Here are some pros and cons for each approach:

* Variable Expression:
	+ Pros: Simple and concise code.
	+ Cons: May have issues with cache locality and performance due to repeated assignments.
* Function:
	+ Pros: Better control over recursion, allows for optimization opportunities.
	+ Cons: Additional overhead due to function calls.
* Arrow Function:
	+ Pros: Concise syntax, might be more suitable for small functions.
	+ Cons: Performance may vary depending on the JavaScript engine.

**Libraries and Special Features**

None of the test cases use a library explicitly. However, some features like arrow functions are specific to ECMAScript 2015 (ES6) and later versions.

**Alternatives**

Other alternatives to compare in this benchmark could be:

* Recursion with loops: Instead of using recursive function calls, the code could use loops to achieve the same result.
* Iterative solutions: Implementing the solution using iterative techniques like bit manipulation or other optimization techniques could also be considered.
* Different data structures: Using different data structures, such as arrays or trees, to store and manipulate the numbers could affect performance.

Keep in mind that these alternatives would likely require significant changes to the code and might not accurately represent typical use cases for recursion.

Related benchmarks:

Variable Expression vs Function vs Arrow (version: 0)

Comparing performance of: Expression fUNC vs Direct Func vs Arrow Func

Created: 3 years ago by: Guest

Jump to the latest result

Expression fUNC

Direct Func

Arrow Func

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):