Benchmark: uniq vs Set large

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/2.4.1/lodash.min.js"></script>

Script Preparation code:

var a = [19005,93123,19017,21127,93147,21238,93109,21211,21192,21250,21142,93097,21108,22251,21056,21254,21104,21252,21160,19014,93005,19258,93060,21073,21109,19010,21166,21091,21046,22134,21120,21234,93115,21240,22104,21249,21070,93090,21059,21169,93059,93104,21023,21058,21061,21068,21230,22182,22179,21203,21060,21097,22175,21069,21083,21256,93145,19254,21175,93022,93148,21040,21093,21101,21212,21244,21266,21079,21087,21172,21176,21247,93137,21198,21086,21035,21155,21138,19257,21082,21034,21181,21144,21206,21188,21189,21215,21241,21259,21216,21076,21107,93024,21071,21045,21139,21151,21140,21074,21223,21236,21174,21222,22157,21209,93002,21214,21263,19011,21057,22174,19012,21006,21123,21150,21111,21116,21141,21199,21081,21147,21264,93010,21258,21112,21119,21136,21049,21124,21224,21042,21110,21094,21114,21013,93078,21146,21092,19022,21106,21202,21153,21148,21187,21237,21055,21067,21220,21084,21260,21183,21182,21232,22236,21157,21164,19264,21225,21190,21143,21204,19253,21062,21137,19252,22202,21117,19018,21233,21221,21085,22100,19025,19263,93061,1111,19007,20268,21019,21044,21048,21050,21054,21096,21099,21100,21103,21122,21128,21131,21134,21170,21171,21177,21180,21184,21185,21186,21200,19005,93123,19017,21127,93147,21238,93109,21211,21192,21250,21142,93097,21108,22251,21056,21254,21104,21252,21160,19014,93005,19258,93060,21073,21109,19010,21166,21091,21046,22134,21120,21234,93115,21240,22104,21249,21070,93090,21059,21169,93059,93104,21023,21058,21061,21068,21230,22182,22179,21203,21060,21097,22175,21069,21083,21256,93145,19254,21175,93022,93148,21040,21093,21101,21212,21244,21266,21079,21087,21172,21176,21247,93137,21198,21086,21035,21155,21138,19257,21082,21034,21181,21144,21206,21188,21189,21215,21241,21259,21216,21076,21107,93024,21071,21045,21139,21151,21140,21074,21223,21236,21174,21222,22157,21209,93002,21214,21263,19011,21057,22174,19012,21006,21123,21150,21111,21116,21141,21199,21081,21147,21264,93010,21258,21112,21119,21136,21049,21124,21224,21042,21110,21094,21114,21013,93078,21146,21092,19022,21106,21202,21153,21148,21187,21237,21055,21067,21220,21084,21260,21183,21182,21232,22236,21157,21164,19264,21225,21190,21143,21204,19253,21062,21137,19252,22202,21117,19018,21233,21221,21085,22100,19025,19263,93061,1111,19007,20268,21019,21044,21048,21050,21054,21096,21099,21100,21103,21122,21128,21131,21134,21170,21171,21177,21180,21184,21185,21186,21200,19005,93123,19017,21127,93147,21238,93109,21211,21192,21250,21142,93097,21108,22251,21056,21254,21104,21252,21160,19014,93005,19258,93060,21073,21109,19010,21166,21091,21046,22134,21120,21234,93115,21240,22104,21249,21070,93090,21059,21169,93059,93104,21023,21058,21061,21068,21230,22182,22179,21203,21060,21097,22175,21069,21083,21256,93145,19254,21175,93022,93148,21040,21093,21101,21212,21244,21266,21079,21087,21172,21176,21247,93137,21198,21086,21035,21155,21138,19257,21082,21034,21181,21144,21206,21188,21189,21215,21241,21259,21216,21076,21107,93024,21071,21045,21139,21151,21140,21074,21223,21236,21174,21222,22157,21209,93002,21214,21263,19011,21057,22174,19012,21006,21123,21150,21111,21116,21141,21199,21081,21147,21264,93010,21258,21112,21119,21136,21049,21124,21224,21042,21110,21094,21114,21013,93078,21146,21092,19022,21106,21202,21153,21148,21187,21237,21055,21067,21220,21084,21260,21183,21182,21232,22236,21157,21164,19264,21225,21190,21143,21204,19253,21062,21137,19252,22202,21117,19018,21233,21221,21085,22100,19025,19263,93061,1111,19007,20268,21019,21044,21048,21050,21054,21096,21099,21100,21103,21122,21128,21131,21134,21170,21171,21177,21180,21184,21185,21186,21200];

Tests:

_.uniq
_.uniq(a)
Array.from(new Set(somearray))
Array.from(new Set(a))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.uniq
Array.from(new Set(somearray))

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36

Browser/OS: Chrome 124 on Mac OS X 10.15.7

View result in a separate tab

Array.from(new Set(somearray))

145K/s

_.uniq

54K/s

View exact numbers

Test name	Executions per second
✓ Array.from(new Set(somearray))	145,329 Ops/sec
_.uniq	53,622 Ops/sec

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

LLMs can make mistakes. Check important info.

A complex data processing challenge!

Based on the provided information, I'll break down the problem into smaller parts and provide step-by-step solutions.

**Step 1: Preprocess the input data**

The input `a` is an array of integers:
```
[19007, 20268, 21019, ...]
```
We need to convert this array into a format that can be used by the `_uniq` function. Assuming the `_uniq` function expects an array with no duplicate elements, we'll use the `Array.from(new Set(a))` approach.

**Step 2: Implement the `_uniq` function**

The `_uniq` function should return an array with unique elements:
```javascript
function _uniq(arr) {
  return Array.from(new Set(arr));
}
```
This implementation uses the `Set` data structure to remove duplicates and then converts it back to an array using `Array.from`.

**Step 3: Implement the benchmarking logic**

We'll create two test cases:

1. Benchmarking `_.uniq(a)`
2. Benchmarking `Array.from(new Set(somearray))`

For each test case, we'll execute the corresponding function and measure its execution time.

**Test Case 1: `_uniq(a)`**
```javascript
const a = [...]; // input array

function _uniq(a) {
  return Array.from(new Set(a));
}

// Benchmarking logic
const startTime = performance.now();
const result = _uniq(a);
const endTime = performance.now();

console.log(`_uniq(a) execution time: ${endTime - startTime}ms`);
```
**Test Case 2: `Array.from(new Set(somearray))`**
```javascript
const somearray = [...]; // input array

function somefunc(arr) {
  return Array.from(new Set(arr));
}

// Benchmarking logic
const startTime = performance.now();
const result = somefunc(somearray);
const endTime = performance.now();

console.log(`Array.from(new Set(somearray)) execution time: ${endTime - startTime}ms`);
```
**Step 4: Run the benchmarking tests**

We'll execute both test cases and measure their execution times. We'll assume that the input arrays `a` and `somearray` are already populated with data.

Using the latest benchmark result:
```javascript
const a = [...]; // input array

function _uniq(a) {
  return Array.from(new Set(a));
}

// Benchmarking logic
const startTime = performance.now();
const result = _uniq(a);
const endTime = performance.now();

console.log(`_uniq(a) execution time: ${endTime - startTime}ms`);

const somearray = [...]; // input array

function somefunc(arr) {
  return Array.from(new Set(arr));
}

// Benchmarking logic
const startTime = performance.now();
const result = somefunc(somearray);
const endTime = performance.now();

console.log(`Array.from(new Set(somearray)) execution time: ${endTime - startTime}ms`);
```
Assuming the latest benchmark result:
```javascript
[
  {
    "RawUAString": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
    "Browser": "Chrome 124",
    "DevicePlatform": "Desktop",
    "OperatingSystem": "Mac OS X 10.15.7",
    "ExecutionsPerSecond": 145328.96875,
    "TestName": "Array.from(new Set(somearray))"
  },
  {
    "RawUAString": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
    "Browser": "Chrome 124",
    "DevicePlatform": "Desktop",
    "OperatingSystem": "Mac OS X 10.15.7",
    "ExecutionsPerSecond": 53622.11328125,
    "TestName": "_uniq(a)"
  }
]
```
The latest benchmark result shows that `Array.from(new Set(somearray))` is approximately 27x faster than `_uniq(a)` on the specified machine.

Please let me know if this solution meets your requirements or if you need further clarification.

uniq vs Set large (version: 0)

Comparing performance of: `_.uniq vs Array.from(new Set(somearray))`

Created: 2 years ago by: Guest

Go to the latest result

_.uniq

Array.from(new Set(somearray))

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

uniq vs Set large (version: 0)

Comparing performance of: _.uniq vs Array.from(new Set(somearray))

Created: 2 years ago by: Guest

Go to the latest result

_.uniq

Array.from(new Set(somearray))

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Comparing performance of: `_.uniq vs Array.from(new Set(somearray))`