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

Script Preparation code:

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

Tests:

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

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
simple function
higher order function

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'll break down the benchmark and its components, explaining what's being tested, compared, and the pros and cons of each approach.

**Benchmark Overview**

The benchmark measures the performance difference between two approaches: simple functions and higher-order functions (HOFs). The scripts are executed multiple times to ensure accurate results.

**Script Preparation Code**

The script preparation code defines an object `artifacts` with a single property `getById`, which is used as an argument in both scripts. This suggests that the benchmark is not primarily testing JavaScript features or syntax but rather evaluating the efficiency of different function implementations.

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

**Html Preparation Code**

The HTML preparation code is empty (`null`), indicating that the benchmark does not rely on any external resources or user interactions to execute.

**Test Cases**

There are two test cases:

1. **Simple Function**
```javascript
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)
}
```

This script defines a simple function `flatten` that takes an `artifactId` as input and returns an array containing the result of calling `getDependencies` with that ID.

2. **Higher-Order Function**
```javascript
const getDependencies = (artifactId) => artifacts.getById(artifactId);

const flatten = (artifacts, artifactId) => {
  return [...getDependencies(artifactId)];
}

for(var i = 0; i < 100; i++) {
  flatten(artifacts, i)
}
```

This script defines a higher-order function `flatten` that takes two arguments: `artifacts` and `artifactId`. It returns an array containing the result of calling `getDependencies` with the provided ID.

**Comparison**

The benchmark compares the performance of these two approaches:

* **Simple Function**: Calls `createFlattenr` with the `artifacts` object, which creates a function that calls `getDependencies`.
* **Higher-Order Function**: Directly uses the `flatten` function defined in the previous step.

**Pros and Cons**

Both approaches have their advantages and disadvantages:

* **Simple Function**:
	+ Pros: Easier to read and understand, as it's a more straightforward implementation.
	+ Cons: May be slower due to the additional function call overhead.
* **Higher-Order Function**:
	+ Pros: Can be faster, as the function call is optimized for performance.
	+ Cons: More complex and harder to understand, as it involves higher-order functions.

**Alternative Approaches**

Other possible approaches could include:

* Using a different data structure or algorithm to improve performance.
* Implementing caching or memoization to reduce redundant computations.
* Utilizing Web Workers or other parallel execution techniques to speed up the benchmark.

Keep in mind that these alternative approaches might not be relevant for this specific benchmark, which seems to focus on evaluating the efficiency of simple and higher-order function implementations.

Related benchmarks:

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

higher order function vs simple function perf check

Comparing performance of: simple function vs higher order function

Created: 5 years ago by: Guest

Jump to the latest result

simple function

higher order function

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):