Benchmark: off arrays function

Tests:

off Arrays with Reducer
const offArrays = obj => Object.keys(obj).reduce((off, key) => (obj[key] instanceof Array) ? off : (obj[key] instanceof Object) ? { ...off, [key]: offArrays(obj[key]) } : { ...off, [key]: obj[key] }, {}) let objeto = { a: 1, b: [2,3], c: 4, d: { e: 5, f: { g: 6, h: [7, 8] }, i: [9, 10], j: 11 }, k: { l: [12,13] }, m: 14 } console.log(offArrays(objeto))
off arrays with Linear
const withoutArrays = obj => { if (!(obj instanceof Object)) return obj if (!(obj instanceof Array)) { let result for (const prop in obj) { const out = withoutArrays(obj[prop]) if (out !== undefined) result = { ...result, [prop]: out } } return result } return undefined } let objeto = { a: 1, b: [2,3], c: 4, d: { e: 5, f: { g: 6, h: [7, 8] }, i: [9, 10], j: 11 }, k: { l: [12,13] }, m: 14 } console.log(withoutArrays(objeto))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
off Arrays with Reducer
off arrays with Linear

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 JSON and explain what is tested, compared, and other considerations.

**Benchmark Definition**

The benchmark definition represents a JavaScript function that tests two approaches to handling arrays in objects:

1. `offArrays`: This function uses the `Object.keys()` method to iterate over the object's properties. For each property:
	* If the property value is an array (`obj[key] instanceof Array`), it recursively calls itself on that array.
	* If the property value is an object (`obj[key] instanceof Object`), it creates a new object with the existing key and values, but only for the objects (not arrays).
	* For all other cases, it simply copies the original value to the result object.
2. `withoutArrays`: This function checks if the object is not an instance of `Object` or `Array`. If it's an object, it iterates over its properties and recursively calls itself on each property value that is an object.

**Comparison**

The comparison between these two approaches can be summarized as follows:

* **Memory usage**: The `offArrays` approach creates a new object with the result, which may lead to increased memory usage. In contrast, `withoutArrays` creates a shallow copy of the original object, which might be more efficient in terms of memory usage.
* **Performance**: Both approaches have their trade-offs:
	+ `offArrays` uses recursion, which can lead to stack overflow errors for deeply nested objects. However, it also avoids creating unnecessary intermediate arrays.
	+ `withoutArrays` uses iteration and shallow copying, which can be faster but may create more memory allocations.

**Pros and Cons**

* **offArrays**:
	+ Pros: Avoids recursive function calls and creates a new object with the result, making it easier to debug.
	+ Cons: May lead to increased memory usage, especially for deeply nested objects.
* **withoutArrays**:
	+ Pros: Can be more efficient in terms of memory usage and may be faster due to iterative processing.
	+ Cons: May create more intermediate arrays and require more memory allocations.

**Library or Special JS feature**

Neither `offArrays` nor `withoutArrays` uses any external libraries. However, both functions rely on built-in JavaScript methods like `Object.keys()`, `instanceof`, and iteration (`for...in` loop).

**Special JS features**

There are no special JavaScript features used in these benchmark definitions.

**Other alternatives**

Some alternative approaches to handling arrays in objects could include:

1. Using the `Array.isArray()` method instead of `instanceof Array`.
2. Implementing a custom iteration mechanism, like using `for...of` loops or `Symbol.iterator`.
3. Utilizing libraries like Lodash (which has a `mapObject` function) or other array manipulation utilities.
4. Using functional programming techniques, such as map-reduce, to process the object's properties.

Keep in mind that these alternatives might introduce new trade-offs and complexities, so it's essential to carefully evaluate their performance and memory usage characteristics before making a choice.

Related benchmarks:

off arrays function (version: 0)

Comparing performance of: off Arrays with Reducer vs off arrays with Linear

Created: 5 years ago by: Registered User

Jump to the latest result

off Arrays with Reducer

off arrays with Linear

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):