Benchmark: test task - MeasureThat.net

Script Preparation code:

window.content = [{
        "date": "2017-07-31",
        "amount": "5422"
    },
    {
        "date": "2017-06-30",
        "amount": "5220"
    },
    {
        "date": "2017-05-31",
        "amount": "5365"
    },
    {
        "date": "2017-08-31",
        "amount": "5451"
    },
    {
        "date": "2017-09-30",
        "amount": "5303"
    },
    {
        "date": "2018-03-31",
        "amount": "5654"
    },
    {
        "date": "2017-10-31",
        "amount": "5509"
    },
    {
        "date": "2017-12-31",
        "amount": "5567"
    },
    {
        "date": "2018-01-31",
        "amount": "5597"
    },
    {
        "date": "2017-11-30",
        "amount": "5359"
    },
    {
        "date": "2018-02-28",
        "amount": "5082"
    },
    {
        "date": "2018-04-14",
        "amount": "2567"
    }
];

Tests:

1reduce1foreach
function sortOperations(operations) { const withoutSorting = operations.reduce((acc, {date}) => { const [year, month, day] = date.split('-') const monthDay=`${month}-${day}` return { ...acc, [year]: Array.isArray(acc[year]) ? [...acc[year], monthDay] : [monthDay]} }, {}) Object.entries(withoutSorting).forEach(([key, values])=>{withoutSorting[key] = values.sort()}) return withoutSorting } sortOperations(window.content)
Arrays
function sortOperations(operations){ let splittedDates = operations.map((e)=>e.date.split("-")) let years = Array.from(new Set(splittedDates.map((e)=>e[0]))) let output={} years.forEach((e)=>{ output[e] = splittedDates.filter(e1=>e1[0]===e).map(e1=>[e1[1],e1[2]].join("-")).sort() }) return output } sortOperations(window.content)
2reduce
function sortOperations(operations) { const withoutSorting = operations.reduce((acc, {date}) => { const [year, month, day] = date.split('-') const monthDay=`${month}-${day}` return { ...acc, [year]: Array.isArray(acc[year]) ? [...acc[year], monthDay] : [monthDay]} }, {}) return Object.entries(withoutSorting).reduce((acc, [key, values])=> ({ ...acc, [key]: values.sort((a,b) => +a.replace(/-/g, '') - +b.replace(/-/g, '')) }), {}) } sortOperations(window.content)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1reduce1foreach
Arrays
2reduce

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Measuring the performance of JavaScript benchmarks can be fascinating.

The provided JSON represents a benchmark definition and test cases for measuring the performance of sorting operations on arrays. There are three individual test cases:

1. `sortOperations(operations) without using reduce()`: This function creates an object where each key is a year, and its corresponding value is an array of month-day pairs in sorted order.

Pros:

* Simple implementation
* Easy to understand

Cons:

* Using `forEach` loop for sorting can be inefficient
* Requires extra memory allocation for the output object

2. `sortOperations(operations) using Arrays`: This function uses the `map`, `Set`, and `filter` methods to group dates by year, sort them, and then create an object with year as key and sorted month-day pairs as value.

Pros:

* More efficient than the first approach (using `forEach`)
* Uses built-in JavaScript methods, making it more readable

Cons:

* More complex implementation
* Requires understanding of array manipulation methods

3. `sortOperations(operations) using reduce()`: This function creates an object where each key is a year, and its corresponding value is an array of month-day pairs in sorted order.

Pros:

* Using `reduce()` method for aggregation can be efficient
* Easy to understand

Cons:

* Requires extra memory allocation for the output object
* Can be slower than using `forEach` loop for sorting

Regarding libraries or special JavaScript features used in these test cases:

* None of the provided code uses any external libraries.
* The tests use built-in JavaScript methods like `map`, `Set`, `filter`, and `reduce()`.
* No special JavaScript features are used (e.g., ES6 syntax, async/await, Promises).

Other alternatives for measuring performance benchmarks could include:

* Using a different data structure, such as a trie or a heap, to sort the dates
* Implementing the sorting logic using a custom algorithm
* Using a different programming language or framework
* Creating multiple test cases with varying input sizes and complexity
* Integrating the benchmark with other tools or frameworks for automated testing

Keep in mind that the choice of approach depends on the specific requirements and goals of the benchmark.

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/107.0.0.0 Safari/537.36 OPR/93.0.0.0

Browser/OS: Opera 93 on Windows

View result in a separate tab

Test name	Executions per second
1reduce1foreach	57790.7 Ops/sec
Arrays	194738.4 Ops/sec
2reduce	16489.6 Ops/sec

Related benchmarks:

test task (version: 0)

Comparing performance of: 1reduce1foreach vs Arrays vs 2reduce

Created: 2 years ago by: Guest

Jump to the latest result

1reduce1foreach

Arrays

2reduce

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):