Benchmark: blablabla - MeasureThat.net

Tests:

assign
const data = [1, 2, 3, 4, 5] const obj = data.reduce((acc, n, idx) => { acc[idx] = n return acc }, {})
spread
const data = [1, 2, 3, 4, 5] const obj = data.reduce((acc, n, idx) => { return { ...acc, [idx]: n } }, {})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
assign
spread

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36

Browser/OS: Chrome 128 on Windows

View result in a separate tab

Test name	Executions per second
assign	5041679.5 Ops/sec
spread	1451673.2 Ops/sec

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

LLMs can make mistakes. Check important info.

**Overview of MeasureThat.net**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The platform provides a way to compare the performance of different approaches to solving a specific problem, in this case, assigning values to an object using two different methods: `reduce` with explicit indexing (`assign`) and `reduce` with spread syntax (`spread`).

**Benchmark Definition**

The provided benchmark definition is empty, which means that the user needs to provide their own script preparation code and HTML preparation code. However, in this case, we can analyze the individual test cases.

**Individual Test Cases**

We have two test cases:

1. `assign`: This test case uses the following JavaScript code:
```javascript
const data = [1, 2, 3, 4, 5]
const obj = data.reduce((acc, n, idx) => {
    acc[idx] = n
    return acc
}, {})
```
This code uses the `reduce` method to create an object where each element of the `data` array is assigned a value at its corresponding index.

2. `spread`: This test case uses the following JavaScript code:
```javascript
const data = [1, 2, 3, 4, 5]
const obj = data.reduce((acc, n, idx) => {
    return {...acc, [idx]: n}
}, {})
```
This code uses the `reduce` method to create an object where each element of the `data` array is assigned a value at its corresponding index using the spread syntax (`{...acc, [idx]: n}`).

**Options Compared**

The two test cases compare the performance of two different approaches:

1. **Explicit indexing**: The `assign` test case uses explicit indexing (`acc[idx] = n`) to assign values to the object.
2. **Spread syntax**: The `spread` test case uses the spread syntax (`{...acc, [idx]: n}`) to assign values to the object.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **Explicit indexing**
	* Pros:
		+ Can be more efficient for small objects or arrays
		+ Can be less memory-intensive
	* Cons:
		+ Can be slower for larger objects or arrays due to the need to access elements by index
2. **Spread syntax**
	* Pros:
		+ More concise and readable
		+ Can be faster for larger objects or arrays due to the ability to create a new object without modifying the original array
	* Cons:
		+ Can be less efficient for very large objects or arrays due to the need to create a new object

**Library: Lodash**

Neither of the test cases uses any external libraries. However, it's worth noting that some JavaScript environments, such as Node.js, may have built-in support for certain functions like `reduce` through the use of specific modules (e.g., `lodash.reduce`).

**Special JS Features/Syntax**

There are no special JavaScript features or syntax used in these test cases.

**Other Alternatives**

If you're interested in exploring alternative approaches to solving this problem, here are a few options:

1. **Using a different data structure**: Instead of using an object, you could use an array or another data structure altogether.
2. **Using a loop instead of reduce**: You could use a traditional `for` loop or `forEach` loop to iterate over the elements and assign values to the object.
3. **Using a library like Lodash**: As mentioned earlier, some JavaScript environments may have built-in support for certain functions like `reduce` through specific modules (e.g., `lodash.reduce`).

Related benchmarks:

blablabla (version: 0)

Comparing performance of: assign vs spread

Created: one year ago by: Guest

Jump to the latest result

assign

spread

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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