Benchmark: asdasdasdasdsadasdsa

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var max1 = 100000; // 100,000 (100 Thousand)
var max2 = 10000000; // 10,000,000 (10 Million)
var max3 = 100000000; // 100,000,000 (100 Million)

var arr1 = [];
//for (var i = 0; i <= max1; i++) { arr1.push(i); }

var arr2 = [];
for (var i = 0; i <= max2; i++) { arr2.push(i); }

var arr3 = [];
//for (var i = 0; i <= max3; i++) { arr3.push(i); }

	
var AssetCategory = {
  NONE: 'NONE',
  VESSEL: 'VESSEL'
}

Tests:

AssetCategory
_(AssetCategory).omit([AssetCategory.NONE]).values().value()
sdfsdfsdAssetCategory
_(AssetCategory).omit([AssetCategory.NONE]).values().value()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
AssetCategory
sdfsdfsdAssetCategory

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 JSON data and explain what's being tested, compared, and analyzed in the benchmark.

**Benchmark Definition**

The benchmark definition is represented by the `Html Preparation Code` field, which contains a JavaScript snippet that defines an object called `AssetCategory`. This object has two properties: `NONE` and `VESSEL`.

The actual benchmarking code is embedded inside the HTML preparation code as a string. It's using a library called Lodash (version 4.17.4) to perform a specific operation on the `AssetCategory` object.

Here's what happens in the benchmark:

1. The `omit` function from Lodash is used to remove the `NONE` property from the `AssetCategory` object.
2. The resulting object without the `NONE` property is converted to an array of values using the `values()` method.
3. The first value (if any) in the array is extracted and returned by the `.value()` method.

**Comparison Options**

The benchmark is comparing two approaches to perform this operation:

1. Using a traditional `for` loop to create the array (`arr1`, `arr2`, and `arr3`).
2. Using Lodash's `omit` function and its `values()` method to achieve the same result.

**Pros and Cons**

* **Traditional Approach**
	+ Pros:
		- Easy to understand and implement.
		- Can be optimized for specific use cases (e.g., using a caching mechanism to avoid re-computing the array).
	+ Cons:
		- Inefficient due to the need to iterate over the entire range of numbers.
		- May not scale well for large inputs.
* **Lodash Approach**
	+ Pros:
		- More concise and readable code.
		- Leverages optimized algorithms implemented in Lodash.
	+ Cons:
		- Adds an external dependency (Lodash) that may slow down the benchmark.
		- Requires understanding of Lodash's API.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a comprehensive set of functions for common programming tasks, such as array manipulation, object transformation, and more. The `omit` function used in the benchmark is part of Lodash's core feature set, which removes properties from an object or an array.

**Special JS Feature/ Syntax**

There are no special JavaScript features or syntaxes being tested in this benchmark. However, it's worth noting that some browsers may have specific optimizations or features enabled (e.g., `Object.freeze()` or `Symbol` support) that could potentially affect the results of this benchmark.

**Alternatives**

Other alternatives for achieving similar results might include:

1. Using native JavaScript methods (e.g., `Array.prototype.map()`, `Set`, or `Map`) to create and manipulate arrays.
2. Implementing a custom iteration mechanism using `for` loops, closures, or other techniques.
3. Leveraging other utility libraries or frameworks that provide similar functionality to Lodash.

Keep in mind that the effectiveness of these alternatives would depend on specific use cases, optimization requirements, and performance considerations.

Related benchmarks:

asdasdasdasdsadasdsa (version: 0)

asd

Comparing performance of: AssetCategory vs sdfsdfsdAssetCategory

Created: 6 years ago by: Guest

Jump to the latest result

AssetCategory

sdfsdfsdAssetCategory

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):