Benchmark: dasdasasdasda - MeasureThat.net

Tests:

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

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark definition, test cases, and results to explain what's being tested.

**Benchmark Definition**

The benchmark is comparing two approaches:

1. **Simple Function**: A traditional JavaScript function that takes an `artifactId` as input and returns an array using the spread operator (`...`).
2. **Higher Order Function**: A function that takes a configuration object (`artifacts`) as input, creates another function (`createFlattenr`) that returns a function taking an `artifactId`, and then uses this created function to flatten the data.

**Options Compared**

The benchmark is comparing the performance of these two approaches:

* **Plain Function**: The simple function definition using the spread operator.
* **Higher Order Function**: The higher order function definition, which involves creating another function (`createFlattenr`) that returns a function taking an `artifactId`.

**Pros and Cons**

**Plain Function:**

Pros:

* Easy to understand and implement
* Does not involve function creation or closure overhead

Cons:

* May be less efficient due to the spread operator's implementation overhead

**Higher Order Function:**

Pros:

* Can potentially be more efficient since it avoids creating an additional function using the `createFlattenr` function.
* Allows for code reuse and modularity.

Cons:

* Involves function creation and closure overhead, which can add complexity and potentially slow down execution.
* The created function (`createFlattenr`) may have its own implementation overhead.

**Library Usage**

The benchmark uses a library called `foo`, but the definition of this library is not provided. However, based on the context, it appears that `foo` is a utility function that returns an array containing some data related to the `artifactId`. The actual purpose of `foo` is unknown without further information.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntaxes used in these benchmark definitions. They appear to be standard JavaScript functions and variable declarations.

**Alternative Approaches**

Other alternatives that could be considered in this benchmark include:

* **Using a different data structure**: Instead of using arrays, the benchmark could use other data structures like objects or maps.
* **Optimizing the plain function**: The plain function definition could be optimized to reduce overhead. For example, by using `Array.prototype.slice` instead of the spread operator.
* **Using a different higher order function approach**: The created function (`createFlattenr`) could be defined differently, potentially reducing its implementation overhead.

Keep in mind that these alternatives are speculative and may not affect the benchmark's results significantly.

Related benchmarks:

dasdasasdasda (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):