Benchmark: asdasdjkh askjdjkasdkjasd

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var data = [{name: 'mustafa'}, {name:'kemal'}, {name:'atatürk'}];

Tests:

Lodash
_.includes(data, 'kemal');
Native
data.includes('kemal');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Native

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.

Let's dive into the world of MeasureThat.net, where JavaScript microbenchmarks are used to compare the performance of different approaches.

The provided JSON represents a benchmark with two test cases:

**Benchmark Definition**

The first section describes the benchmark itself:
```json
"Name": "asdasdjkh askjdjkasdkjasd",
"Description": null,
"Script Preparation Code": "var data = [{name: 'mustafa'}, {name:'kemal'}, {name:'atatürk'}];",
"Html Preparation Code": "<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>"
```
Here's what each part does:

* `Script Preparation Code`: This code is executed before the benchmark runs. In this case, it defines an array `data` containing three objects with a `name` property.
* `Html Preparation Code`: This code is also executed before the benchmark runs, but for the HTML context. It loads the Lodash library from a CDN.

**Individual Test Cases**

The second section describes two test cases:
```json
"[
    {
        "Benchmark Definition": "_.includes(data, 'kemal');",
        "Test Name": "Lodash"
    },
    {
        "Benchmark Definition": "data.includes('kemal');",
        "Test Name": "Native"
    }
]"
```
Each test case has two parts:

* `Benchmark Definition`: This is the actual JavaScript code that will be executed to measure performance.
	+ For the first test case, the Lodash library is used to call the `includes` method on the `data` array.
	+ For the second test case, a native JavaScript function (also called an "alias") is used to call the same `includes` method, but without the need for an external library.
* `Test Name`: This is the name given to each test case.

**Options Compared**

The two test cases compare:

1. **Lodash**: Using the Lodash library to execute the `includes` method on the `data` array.
2. **Native**: Executing a native JavaScript function (an alias) to call the same `includes` method without an external library.

**Pros and Cons of Each Approach**

Here's a brief summary of the pros and cons of each approach:

* **Lodash**:
	+ Pros:
		- Convenient and widely available library.
		- Provides a standardized way to execute functions (e.g., `_.includes`).
	+ Cons:
		- Adds overhead due to loading an external library.
		- May not be as fast as native implementations.
* **Native**:
	+ Pros:
		- No additional libraries or overhead.
		- Can be faster than using a library.
	+ Cons:
		- Requires manual implementation of the `includes` method.
		- May require more code to achieve the same functionality.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for various tasks, including:

* Array and object manipulation
* String and number manipulation
* Function composition and currying
* Miscellaneous helper functions

In this benchmark, Lodash is used to execute the `includes` method on the `data` array.

**Special JS Feature: Arrow Functions**

Note that both test cases use arrow functions (the syntax `() => {code}`) to define small anonymous functions. This feature was introduced in ECMAScript 2015 and allows for concise function definitions.

In summary, MeasureThat.net is a platform used to compare the performance of different approaches to JavaScript microbenchmarks. The benchmark compares two test cases: one using Lodash and another executing native JavaScript code without an external library. Understanding these concepts can help software engineers optimize their code for better performance and efficiency.

Related benchmarks:

asdasdjkh askjdjkasdkjasd (version: 0)

Comparing performance of: Lodash vs Native

Created: 4 years ago by: Guest

Jump to the latest result

Lodash

Native

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):