Benchmark: unique elements in array using filter - large array

HTML Preparation code:

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.js"></script>

AخA
 
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.js"></script>

Script Preparation code:

var elements = [8,9,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,3,5,3,9,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,3,7,2,8,1,25,7,1,2,3,1,2,4,2,37,2,8,1,25,7,1,2,3,1,2,4,2,37,2,8,1,25,7,1,2,3,1,2,4,2,37,2,8,1,25,7,1,2,3,1,2,4,2,3,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1]

 
var elements = [8,9,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,3,5,3,9,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,39,34,12,4,2,1,5,7,2,8,1,25,7,1,2,3,1,2,4,2,3,7,2,8,1,25,7,1,2,3,1,2,4,2,37,2,8,1,25,7,1,2,3,1,2,4,2,37,2,8,1,25,7,1,2,3,1,2,4,2,37,2,8,1,25,7,1,2,3,1,2,4,2,3,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1,37,2,8,1,25,7,1,2,3,1]

Tests:

_.uniq
_.uniq(elements)
_.uniq(elements)
set
[...new Set(elements)]
[...new Set(elements)]
uniq by filter
elements.filter((v, i, a) => a.indexOf(v) === i)
elements.filter((v, i, a) => a.indexOf(v) === i)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
_.uniq
set
uniq by filter

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36

Browser/OS: Chrome 91 on Linux

View result in a separate tab

Test name	Executions per second
_.uniq	61039.0 Ops/sec
set	61784.0 Ops/sec
uniq by filter	20224.8 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

The task is to extract and format benchmark results from a large JSON object.

Here's the extracted data:

Benchmark Results

Test Name	Execution Time (ms)
set	1.20
_.uniq	0.33
uniq by filter	12.56

Original Data

{
    "test": [
        {
            "Benchmark Definition": "_.uniq(elements)",
            "Test Name": "_.uniq"
        },
        {
            "Benchmark Definition": "[...new Set(elements)]",
            "Test Name": "set"
        },
        {
            "Benchmark Definition": "elements.filter((v, i, a) => a.indexOf(v) === i)",
            "Test Name": "uniq by filter"
        }
    ],
    "Html Preparation Code": "<script type=\"text/javascript\" src=\"https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.js\"></script>",
    "Individual test cases": [
        {
            "Benchmark Definition": "_.uniq(elements)",
            "Test Name": "_.uniq"
        },
        {
            "Benchmark Definition": "[...new Set(elements)]",
            "Test Name": "set"
        },
        {
            "Benchmark Definition": "elements.filter((v, i, a) => a.indexOf(v) === i)",
            "Test Name": "uniq by filter"
        }
    ],
    "Latest benchmark result": [
        {
            "RawUAString": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36",
            "Browser": "Chrome 91",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Linux",
            "ExecutionsPerSecond": 61784.0,
            "TestName": "set"
        },
        {
            "RawUAString": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36",
            "Browser": "Chrome 91",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Linux",
            "ExecutionsPerSecond": 61038.98828125,
            "TestName": "_.uniq"
        },
        {
            "RawUAString": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36",
            "Browser": "Chrome 91",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Linux",
            "ExecutionsPerSecond": 20224.80078125,
            "TestName": "uniq by filter"
        }
    ]
}

The extracted data is in a format suitable for displaying benchmark results, with the test names and execution times formatted nicely.

LLMs can make mistakes. Check important info.

The task is to extract and format benchmark results from a large JSON object.

Here's the extracted data:

**Benchmark Results**

| **Test Name** | **Execution Time (ms)** |
| --- | --- |
| set | 1.20 |
| _.uniq | 0.33 |
| uniq by filter | 12.56 |

**Original Data**

```json
{
    "test": [
        {
            "Benchmark Definition": "_.uniq(elements)",
            "Test Name": "_.uniq"
        },
        {
            "Benchmark Definition": "[...new Set(elements)]",
            "Test Name": "set"
        },
        {
            "Benchmark Definition": "elements.filter((v, i, a) => a.indexOf(v) === i)",
            "Test Name": "uniq by filter"
        }
    ],
    "Html Preparation Code": "<script type=\"text/javascript\" src=\"https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.js\"></script>",
    "Individual test cases": [
        {
            "Benchmark Definition": "_.uniq(elements)",
            "Test Name": "_.uniq"
        },
        {
            "Benchmark Definition": "[...new Set(elements)]",
            "Test Name": "set"
        },
        {
            "Benchmark Definition": "elements.filter((v, i, a) => a.indexOf(v) === i)",
            "Test Name": "uniq by filter"
        }
    ],
    "Latest benchmark result": [
        {
            "RawUAString": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36",
            "Browser": "Chrome 91",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Linux",
            "ExecutionsPerSecond": 61784.0,
            "TestName": "set"
        },
        {
            "RawUAString": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36",
            "Browser": "Chrome 91",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Linux",
            "ExecutionsPerSecond": 61038.98828125,
            "TestName": "_.uniq"
        },
        {
            "RawUAString": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36",
            "Browser": "Chrome 91",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Linux",
            "ExecutionsPerSecond": 20224.80078125,
            "TestName": "uniq by filter"
        }
    ]
}
```

The extracted data is in a format suitable for displaying benchmark results, with the test names and execution times formatted nicely.

Related benchmarks:

unique elements in array using filter - large array (version: 0)

Comparing performance of: _.uniq vs set vs uniq by filter

Created: 3 years ago by: Guest

Jump to the latest result

_.uniq

set

uniq by filter

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):