Benchmark: test hieu nang - MeasureThat.net

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/react/16.3.0/cjs/react.production.min.js'></script>

Tests:

assign
const firstObject = { sampleData: 'Hello world' } const secondObject = { moreData: 'foo bar' } const finalObject = Object.assign(firstObject, secondObject);
normal
const firstObject = { sampleData: 'Hello world' } const secondObject = { moreData: 'foo bar' } const finalObject = { sampleData: firstObject.sampleData, moreData: secondObject.moreData, }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
assign
normal

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.

I'll break down the provided benchmark JSON and explain what's being tested, compared, and considered.

**Benchmark Definition**

The benchmark definition is represented by two JSON objects:

1. `Script Preparation Code`: This is an empty string, indicating that no special setup or initialization code is required to run the benchmark.
2. `Html Preparation Code`: This specifies a script tag to load React version 16.3.0 from a CDN, which is used as a dependency for the JavaScript tests.

**Individual Test Cases**

There are two test cases:

1. **"assign"`**: This test case contains the following code:
```javascript
const firstObject = { sampleData: 'Hello world' }
const secondObject = { moreData: 'foo bar' }
const finalObject = Object.assign(firstObject, secondObject);
```
This code creates two objects (`firstObject` and `secondObject`) and uses the `Object.assign()` method to merge them into a single object (`finalObject`).

2. **"normal"`**: This test case contains the following code:
```javascript
const firstObject = { sampleData: 'Hello world' }
const secondObject = { moreData: 'foo bar' }
const finalObject = {
  sampleData: firstObject.sampleData,
  moreData: secondObject.moreData,
}
```
This code creates two objects (`firstObject` and `secondObject`) but does not use the `Object.assign()` method. Instead, it manually assigns properties from one object to another using dot notation.

**Comparison of Approaches**

The "assign" test case uses the `Object.assign()` method, which is a built-in JavaScript function that merges two or more objects into a single object. This approach has the following pros and cons:

Pros:

* Concise and readable code
* No manual property assignment required
* Works with any type of object (not just plain objects)

Cons:

* May be slower due to the overhead of calling the `Object.assign()` function
* May not be supported in older browsers or environments

The "normal" test case uses dot notation to assign properties, which has the following pros and cons:

Pros:

* No additional function call required
* Can be faster for smaller objects

Cons:

* Less readable code
* Only works with plain objects (not arrays or other types of objects)

**Special Considerations**

The `Object.assign()` method is a special feature in JavaScript that was introduced in ECMAScript 2015 (ES6). It's not available in older versions of JavaScript.

**Other Alternatives**

If you want to compare the performance of different object assignment methods, you could also consider using:

* The spread operator (`{ ... }`) to merge objects
* The `for...in` loop to iterate over object properties and assign values manually

However, these alternatives would require significant changes to the benchmark code.

Overall, the "assign" test case is likely designed to measure the performance of the `Object.assign()` method, while the "normal" test case aims to show the performance differences between using this method versus manual property assignment.

Related benchmarks:

test hieu nang (version: 0)

Comparing performance of: assign vs normal

Created: 3 years ago by: Guest

Jump to the latest result

assign

normal

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):