Benchmark: testingCloneObject3

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/2.4.1/lodash.min.js"></script>

Script Preparation code:

var bob = {
    name: "Bob",
    age: 32,
  	lastName: "test",
    local: {there:"there"},
    test:{
      test:{
        test:"test"
      }
    }
  };

Tests:

vanila
function cloneObject(obj) { if (obj === null || typeof obj !== 'object') { return obj; } var temp = obj.constructor(); // give temp the original obj's constructor for (var key in obj) { temp[key] = cloneObject(obj[key]); } return temp; } var bill = (cloneObject(bob));
JSON.parse
var bill2 = (JSON.parse(JSON.stringify(bob)));
lodash
var deep = _.cloneDeep(bob);
ObjectAssign
var assign = Object.assign({}, bob)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
vanila
JSON.parse
lodash
ObjectAssign

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what's being tested.

**Benchmark Definition**

The benchmark definition is an object that provides information about the test case, including:

* `Name`: The name of the benchmark, which in this case is "testingCloneObject3".
* `Description`: An optional description of the benchmark (not provided in this case).
* `Script Preparation Code`: A JavaScript code snippet that prepares the input data for the benchmark. In this case, it creates a nested object `bob` with various properties.
* `Html Preparation Code`: A link to an external library (Lodash) and its preparation code.

**Individual Test Cases**

There are four test cases defined in the JSON data:

1. **vanila**: This test case uses a custom implementation of deep cloning, which is not shown in the benchmark definition. The benchmark definition only provides the JavaScript function `cloneObject` that performs the cloning.
2. **JSON.parse**: This test case uses the built-in `JSON.parse` method to parse and clone the input data.
3. **lodash**: This test case uses the Lodash library's `cloneDeep` function to perform deep cloning.
4. **ObjectAssign**: This test case uses the `Object.assign` method to create a shallow copy of the input data.

**Options Compared**

The four test cases compare different approaches to deep cloning:

* Custom implementation (`vanila`)
* Built-in `JSON.parse` method
* Lodash library's `cloneDeep` function
* `Object.assign` method

Each approach has its pros and cons:

1. **Custom implementation (vanila)**:
	* Pros: Can be optimized for performance, allows for custom logic.
	* Cons: Requires manual implementation of the cloning algorithm, may have bugs or performance issues.
2. **Built-in `JSON.parse` method**:
	* Pros: Fast, widely supported, and easy to implement.
	* Cons: May not perform deep cloning correctly if the input data contains non-JSON values or if there are circular references.
3. **Lodash library's `cloneDeep` function**:
	* Pros: Fast, reliable, and tested thoroughly.
	* Cons: Requires an external dependency (the Lodash library).
4. **`Object.assign` method**:
	* Pros: Simple to implement, widely supported.
	* Cons: May not perform deep cloning correctly if the input data contains non-objects or if there are circular references.

**Other Considerations**

When choosing a deep cloning approach, consider factors such as:

* Performance: How fast does the cloning algorithm need to be?
* Reliability: How important is it that the cloned object has the same properties and values as the original object?
* Maintainability: Is the custom implementation easy to understand and maintain?
* External dependencies: Are there any external libraries or frameworks that need to be included for this benchmark?

**Alternatives**

Other alternatives for deep cloning in JavaScript include:

1. **Array.prototype.slice.call()**: This method creates a shallow copy of an array by recreating it with `new Array()` and then using the spread operator (`...`) to create a new array with the same elements.
2. **JSON.parse(JSON.stringify(obj))**: This method uses the `JSON.parse` function to parse the input data as JSON, which can create a deep clone if the input data is valid JSON.
3. **Object.create(null)**: This method creates an empty object and then uses the `Object.assign()` method to copy properties from the original object.

However, these alternatives may have their own pros and cons, such as performance issues or limitations when dealing with circular references or non-JSON values.

Related benchmarks:

testingCloneObject3 (version: 0)

Comparing performance of: vanila vs JSON.parse vs lodash vs ObjectAssign

Created: 9 years ago by: Registered User

Jump to the latest result

vanila

JSON.parse

lodash

ObjectAssign

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):