Benchmark: dasdasasdasdasdfsdfasdasdqwdq w qw asda asdasd sdf asdasda asdas sd asd s asdassdv

Script Preparation code:

var artifacts = {
  getById: () => []
}

Tests:

simple function
const flatten = (artifactId) => { return [ ...getDependencies(artifactId) ] } for(var i = 0; i < 100; i++) { flatten(i) } function getDependencies (artifactId) { return artifacts.getById(artifactId); }
higher order function
const createFlattenr = (artifacts) => { const getDependencies = (artifactId) => artifacts.getById(artifactId); return (artifactId) => { return [ ...getDependencies(artifactId) ] } } const flatten = createFlattenr(artifacts) for(var i = 0; i < 100; i++) { flatten(i) }
asd
const flatten = (artifactId) => { return [ ...getDependencies(artifactId) ] } for(var i = 0; i < 100; i++) { flatten(i) } function getDependencies (artifactId) { return artifacts.getById(artifactId); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
simple function
higher order function
asd

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 and explain what's being tested.

**Benchmark Overview**

The benchmark is designed to compare the performance of two types of functions: simple functions and higher-order functions (also known as closures). A simple function is a straightforward function that takes arguments, performs calculations, and returns results. A higher-order function, on the other hand, is a function that takes another function as an argument or returns a function as its result.

**Options Compared**

The benchmark tests two options:

1. **Simple Function**: The first test case uses a simple function that takes an `artifactId` parameter and returns an array of dependencies.
2. **Higher-Order Function (Closure)**: The second test case uses a higher-order function, which creates another function (`flatten`) within it. This outer function takes an `artifactId` parameter and returns the same array of dependencies as before.

**Pros and Cons**

Here are some pros and cons of each approach:

**Simple Function**

Pros:

* Easy to understand and implement
* Less overhead due to no function creation or lookup

Cons:

* May be less efficient due to repeated function calls for each iteration

**Higher-Order Function (Closure)**

Pros:

* Can avoid repeated function calls by reusing the same inner function
* Can provide a more modular and reusable solution

Cons:

* More complex to understand and implement
* May introduce additional overhead due to function creation or lookup

**Library Used**

In this benchmark, the `getDependencies` function is using an artifact (`artifacts`) which is an object that contains functions. The `getById` function is used to look up a specific function in the artifact.

**Special JS Feature/ Syntax**

There are no special JavaScript features or syntaxes being used in this benchmark, except for arrow functions (e.g., `=>`), which are a relatively modern feature introduced in ECMAScript 2015.

**Other Alternatives**

If you were to modify this benchmark to test alternative approaches, here are some options:

1. **Use of loops instead of for loops**: You could test the performance difference between using traditional `for` loops and more efficient alternatives like `while` loops or array methods (e.g., `Array.prototype.forEach`).
2. **Caching vs recomputation**: You could test the performance impact of caching results versus recomputing them on every iteration.
3. **Multi-threading or parallel execution**: You could modify the benchmark to execute multiple functions in parallel, either using web workers or other concurrency models.

Overall, this benchmark provides a good starting point for understanding the trade-offs between simple and higher-order functions, as well as the impact of function creation and lookup overhead on performance.

Related benchmarks:

dasdasasdasdasdfsdfasdasdqwdq w qw asda asdasd sdf asdasda asdas sd asd s asdassdv (version: 0)

higher order function vs simple function perf checks

Comparing performance of: simple function vs higher order function vs asd

Created: 5 years ago by: Guest

Jump to the latest result

simple function

higher order function

asd

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):