Benchmark: dasdasasdasdasdfsdfasdasdqwdq w qw asda asdasd sdf asdasda asdas sd

Tests:

simple function
var artifacts = { getById: () => [] } 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
var artifacts = { getById: () => [] } const flatten = (artifacts, artifactId) => { const getDependencies = (artifactId) =>{ return artifacts.getById(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 explain the JavaScript microbenchmark on MeasureThat.net.

**Overview**

The benchmark measures the performance of two types of functions: simple functions and higher-order functions. A simple function is a straightforward function that performs a specific task, whereas a higher-order function is a function that takes another function as an argument or returns a function as its result.

**Test Cases**

There are two test cases:

1. **Simple Function**: This test case measures the performance of a simple function that flattens an array of dependencies using the `flatten` function.
2. **Higher-Order Function**: This test case measures the performance of a higher-order function that also flattens an array of dependencies, but takes an object with a `getDependencies` method as an argument.

**Comparison**

The two functions are compared to determine which one is faster. In this case, the higher-order function is slightly slower than the simple function.

**Pros and Cons**

* **Simple Function**: Pros:
	+ Easier to understand and debug.
	+ Less overhead due to function creation and invocation.
* Cons:
	+ More code duplication (e.g., calculating `getDependencies`).
* **Higher-Order Function**: Pros:
	+ Reuses the `getDependencies` method, reducing code duplication.
	+ Can be more flexible and reusable.
* Cons:
	+ Requires an additional object with a `getDependencies` method.
	+ May introduce overhead due to function creation and invocation.

**Library**

Neither test case uses a library. However, if we were to generalize the `flatten` function to work with larger datasets, we might consider using libraries like Lodash or Ramda for their functional programming utilities.

**Special JS Features/Syntax**

There is no special JavaScript feature or syntax used in these test cases.

**Other Alternatives**

If you wanted to modify this benchmark to include other types of functions or optimization techniques, here are some alternatives:

1. **Closures**: Use a closure-based approach instead of higher-order functions.
2. **Async Functions**: Include asynchronous versions of the functions using async/await syntax.
3. **Generator Functions**: Experiment with generator functions for iterative algorithms.
4. **Web Workers**: Utilize web workers to parallelize computationally expensive tasks.

These alternatives would require modifications to the benchmark definition and test cases, but could provide interesting insights into performance differences.

Related benchmarks:

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