Benchmark: kozhushok - MeasureThat.net

Tests:

Kozhushok
originalCatalogCar = [{"attribute_1":{"key":"modelyearfrom","name":"Модель выпускается с","value":"1.2016"},"attribute_2":{"key":"modelyearto","name":"Модель выпускается по","value":"11.2016"},"attribute_3":{"key":"model","name":"Модель","value":"H15E"},"attribute_4":{"key":"market","name":"Рынок","value":"USA"},"attribute_5":{"key":"bodyStyle","name":"Тип кузова","value":"5 DOOR HATCHBACK"},"attribute_6":{"key":"engine","name":"Двигатель","value":"2.0L PETROL ENGINE"},"attribute_7":{"key":"complection","name":"Комплектация","value":"GT-COMFORT GRADE"},"attribute_8":{"key":"options","name":"Опции","value":"Регион:USA; Привод:2WD"}},{"attribute_1":{"key":"modelyearfrom","name":"Модель выпускается с","value":"1.2016"},"attribute_2":{"key":"modelyearto","name":"Модель выпускается по","value":"11.2016"},"attribute_3":{"key":"model","name":"Модель","value":"H15E"},"attribute_4":{"key":"market","name":"Рынок","value":"USA"},"attribute_5":{"key":"bodyStyle","name":"Тип кузова","value":"5 DOOR HATCHBACK"},"attribute_6":{"key":"engine","name":"Двигатель","value":"2.0L PETROL ENGINE"},"attribute_7":{"key":"complection","name":"Комплектация","value":"GT-COMFORT GRADE"},"attribute_8":{"key":"options","name":"Опции","value":"Регион:USA; Привод:2WD"}}] const transformedTableItems = []; originalCatalogCar.forEach(item => { const newItem = {}; for (const attribute in item) { newItem[item[attribute].key] = item[attribute].value; } transformedTableItems.push(newItem); });
Kitsenko
const catalogCar = [ { attribute_1: { key: 'modelyearfrom', name: 'Модель выпускается с', value: '1.2016', }, attribute_2: { key: 'modelyearto', name: 'Модель выпускается по', value: '11.2016', }, attribute_3: { key: 'model', name: 'Модель', value: 'H15E', }, attribute_4: { key: 'market', name: 'Рынок', value: 'USA', }, attribute_5: { key: 'bodyStyle', name: 'Тип кузова', value: '5 DOOR HATCHBACK', }, attribute_6: { key: 'engine', name: 'Двигатель', value: '2.0L PETROL ENGINE', }, attribute_7: { key: 'complection', name: 'Комплектация', value: 'GT-COMFORT GRADE', }, attribute_8: { key: 'options', name: 'Опции', value: 'Регион:USA; Привод:2WD', }, }, { attribute_1: { key: 'modelyearfrom', name: 'Модель выпускается с', value: '1.2016', }, attribute_2: { key: 'modelyearto', name: 'Модель выпускается по', value: '11.2016', }, attribute_3: { key: 'model', name: 'Модель', value: 'H15E', }, attribute_4: { key: 'market', name: 'Рынок', value: 'USA', }, attribute_5: { key: 'bodyStyle', name: 'Тип кузова', value: '5 DOOR HATCHBACK', }, attribute_6: { key: 'engine', name: 'Двигатель', value: '2.0L PETROL ENGINE', }, attribute_7: { key: 'complection', name: 'Комплектация', value: 'GT-COMFORT GRADE', }, attribute_8: { key: 'options', name: 'Опции', value: 'Регион:USA; Привод:2WD', }, }, ]; const arr = catalogCar.map(car => { return Object.keys(car).reduce((acc, val) => { return { [car[val]['key']]: car[val]['value'], ...acc, } }, {}) })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Kozhushok
Kitsenko

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

**Benchmark Explanation**

The provided JSON represents two test cases, "Kozhushok" and "Kitsenko", which measure the performance of JavaScript in transforming an array of objects into a new array with specific attributes.

**Option Comparison**

There are two approaches being compared:

1. **Original Code**: The first approach uses a `forEach` loop to iterate over the original array, creating a new object for each iteration and pushing it to the `transformedTableItems` array.
2. **Simplified Code**: The second approach uses the `map()` function to apply a transformation function to each element of the original array, returning a new array with the desired attributes.

**Pros and Cons**

* **Original Code**:
	+ Pros: More control over the transformation process, can be more efficient for complex transformations.
	+ Cons: Can be slower due to the use of `forEach` loop, which has an overhead compared to `map()`.
* **Simplified Code**:
	+ Pros: Faster execution time, as `map()` is optimized for performance and can take advantage of CPU caching.
	+ Cons: Less control over the transformation process, may not be suitable for complex transformations.

**JavaScript Syntax Differences**

The main difference between the two approaches is the use of `forEach` versus `map()`. `forEach` is a more traditional JavaScript method that iterates over an array and executes a callback function for each element. `map()` is a more modern method that applies a transformation function to each element of an array, returning a new array with the transformed elements.

In the first approach, the code uses `forEach` to iterate over the original array:
```javascript
forEach loop:
  var obj = { ... };
  // ...
  transformedTableItems.push(obj);
```
In the second approach, the code uses `map()` to apply a transformation function to each element of the original array:
```javascript
Array.prototype.map() function:
  return Object.keys(car).reduce((acc, val) => {
    return { [car[val]['key']]: car[val]['value'], ...acc };
  }, {});
```
**Benchmark Result Interpretation**

The latest benchmark result shows two browsers (Chrome 80) with different execution rates for the two test cases. The "Kozhushok" test case has a higher execution rate (935488.75 executions per second), while the "Kitsenko" test case has a lower execution rate (200340.359375 executions per second). This suggests that the `map()` approach is faster than the `forEach` loop approach in this specific benchmark.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.132 Safari/537.36

Browser/OS: Chrome 80 on Windows

View result in a separate tab

Test name	Executions per second
Kozhushok	935488.8 Ops/sec
Kitsenko	200340.4 Ops/sec

Related benchmarks:

kozhushok (version: 0)

test

Comparing performance of: Kozhushok vs Kitsenko

Created: 4 years ago by: Guest

Jump to the latest result

Kozhushok

Kitsenko

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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