Benchmark: _.fm vs native.fm

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js"></script>

Script Preparation code:

Tests:

lodash.flatMap
_.flatMap(x,x => [x-1, x, x+1])
Vanilla js flatmap
x.flatMap(x => [x-1, x, x+1])

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash.flatMap
Vanilla js flatmap

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

To answer this question, I'll need to parse the provided JSON data and extract the relevant information.

From the initial data:
```json
{
  "Benchmark Results": [
    {
      // ...
    },
    // ...
  ],
  "Html Preparation Code": "<script src=\"https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js\"></script>"
}
```
We have two benchmark test cases:

1. `_.flatMap(x,x => [x-1, x, x+1])` (Lodash)
2. `x.flatMap(x => [x-1, x, x+1])` (Vanilla JavaScript)

And the latest benchmark results:
```json
[
  {
    "RawUAString": "...",
    "Browser": "Chrome 129",
    "DevicePlatform": "Desktop",
    "OperatingSystem": "Windows",
    "ExecutionsPerSecond": 51797.43359375,
    "TestName": "lodash.flatMap"
  },
  {
    "RawUAString": "...",
    "Browser": "Chrome 129",
    "DevicePlatform": "Desktop",
    "OperatingSystem": "Windows",
    "ExecutionsPerSecond": 27551.33203125,
    "TestName": "Vanilla js flatmap"
  }
]
```
Now, I'll assume that the goal is to compare the execution times of these two benchmark test cases.

To do this, we can calculate the relative difference between the executions per second (ExecutionsPerSecond) values:
```javascript
const lodashExecutionTime = 51797.43359375;
const vanillaJsExecutionTime = 27551.33203125;

const relativeDifference = (lodashExecutionTime - vanillaJsExecutionTime) / lodashExecutionTime;

console.log(`Relative difference: ${relativeDifference * 100}%`);
```
Running this code would output the relative difference between the two execution times as a percentage.

Note that I'm assuming the latest benchmark results are correct and available. In a real-world scenario, you'd want to ensure the data is accurate and reliable before drawing conclusions.

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36

Browser/OS: Chrome 129 on Windows

View result in a separate tab

Test name	Executions per second
lodash.flatMap	51797.4 Ops/sec
Vanilla js flatmap	27551.3 Ops/sec

Related benchmarks:

_.fm vs native.fm (version: 0)

Comparing performance of: lodash.flatMap vs Vanilla js flatmap

Created: one month ago by: Guest

Jump to the latest result

lodash.flatMap

Vanilla js flatmap

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):